From 9d490f5ddf001d0de697492c6aa736bb33aa5870 Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Fri, 13 Mar 2026 14:09:04 -0600
Subject: [PATCH 01/73] Disabled some benchmarks and scaled

---
 .github/resources/adhoc-scale-benchmark.properties       | 2 +-
 .../tests/standard/aggby/BasicMathComboTest.java         | 9 +++++----
 .../benchmark/tests/standard/join/NaturalJoinTest.java   | 2 +-
 .../benchmark/tests/standard/sort/SortComboTest.java     | 2 +-
 .../tests/standard/updateby/RollingComboTest.java        | 4 ++--
 .../benchmark/tests/standard/where/WhereTest.java        | 2 +-
 6 files changed, 11 insertions(+), 10 deletions(-)

diff --git a/.github/resources/adhoc-scale-benchmark.properties b/.github/resources/adhoc-scale-benchmark.properties
index adab86ad..31a2fd15 100644
--- a/.github/resources/adhoc-scale-benchmark.properties
+++ b/.github/resources/adhoc-scale-benchmark.properties
@@ -15,7 +15,7 @@ schema.registry.addr=redpanda:8081
 kafka.consumer.addr=redpanda:29092
 
 # Default timeout to complete processes (Executing queries, generating records)
-default.completion.timeout=10 minutes
+default.completion.timeout=20 minutes
 
 # Default data distribution for column data (random, ascending, descending, runlength)
 default.data.distribution=${baseDistrib}
diff --git a/src/it/java/io/deephaven/benchmark/tests/standard/aggby/BasicMathComboTest.java b/src/it/java/io/deephaven/benchmark/tests/standard/aggby/BasicMathComboTest.java
index 2614954e..0214e280 100644
--- a/src/it/java/io/deephaven/benchmark/tests/standard/aggby/BasicMathComboTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/standard/aggby/BasicMathComboTest.java
@@ -12,7 +12,7 @@ public class BasicMathComboTest {
 
     @BeforeEach
     void setup() {
-        runner.setRowFactor(3);
+        runner.setRowFactor(2);
         runner.tables("source");
 
         var setupStr = """
@@ -28,19 +28,19 @@ void setup() {
 
     @Test
     void mathComboAggBy7Ops0Groups() {
-        runner.setScaleFactors(20, 9);
+        runner.setScaleFactors(40, 15);
         var q = "source.agg_by(aggs)";
         runner.test("MathCombo-AggBy- 7 Ops No Groups", 1, q, "num1", "num2");
     }
 
-    @Test
+    @Test @Disabled
     void mathComboAggBy7Ops1Group() {
         runner.setScaleFactors(9, 4);
         var q = "source.agg_by(aggs, by=['key1'])";
         runner.test("MathCombo-AggBy- 7 Ops 1 Group 100 Unique Vals ", 100, q, "key1", "num1", "num2");
     }
 
-    @Test
+    @Test @Disabled
     void mathComboAggBy7Ops2Groups() {
         runner.setScaleFactors(2, 1);
         var q = "source.agg_by(aggs, by=['key1', 'key2'])";
@@ -49,6 +49,7 @@ void mathComboAggBy7Ops2Groups() {
 
     @Test
     void mathComboAggBy7Ops3Groups() {
+        runner.setScaleFactors(2, 1);
         var q = "source.agg_by(aggs, by=['key1', 'key2', 'key3'])";
         runner.test("MathCombo-AggBy- 7 Ops 3 Groups 100K Unique Combos ", 90900, q, "key1", "key2", "key3", "num1",
                 "num2");
diff --git a/src/it/java/io/deephaven/benchmark/tests/standard/join/NaturalJoinTest.java b/src/it/java/io/deephaven/benchmark/tests/standard/join/NaturalJoinTest.java
index fc8406be..7c7dd2df 100644
--- a/src/it/java/io/deephaven/benchmark/tests/standard/join/NaturalJoinTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/standard/join/NaturalJoinTest.java
@@ -23,7 +23,7 @@ void NaturalJoinOn1Col() {
         runner.test("NaturalJoin- Join On 1 Col", q, "key5", "num1");
     }
 
-    @Test
+    @Test @Disabled
     void NaturalJoinOn2Cols() {
         setup(6);
         var q = "source.natural_join(right, on=['key1 = r_wild', 'key2 = r_key2'])";
diff --git a/src/it/java/io/deephaven/benchmark/tests/standard/sort/SortComboTest.java b/src/it/java/io/deephaven/benchmark/tests/standard/sort/SortComboTest.java
index f89b2eed..b444508f 100644
--- a/src/it/java/io/deephaven/benchmark/tests/standard/sort/SortComboTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/standard/sort/SortComboTest.java
@@ -23,7 +23,7 @@ void sort2ColsAscendDescend() {
         runner.test("Sort- Both Directions 2 Cols", q, "key1", "key2", "num1");
     }
 
-    @Test
+    @Test @Disabled
     void sort3ColsAscendDescend() {
         var q = """
         source.sort(order_by=['key1', 'key2', 'key3'], order=[SortDirection.ASCENDING, SortDirection.DESCENDING,
diff --git a/src/it/java/io/deephaven/benchmark/tests/standard/updateby/RollingComboTest.java b/src/it/java/io/deephaven/benchmark/tests/standard/updateby/RollingComboTest.java
index 1516abb5..7d40f933 100644
--- a/src/it/java/io/deephaven/benchmark/tests/standard/updateby/RollingComboTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/standard/updateby/RollingComboTest.java
@@ -61,7 +61,7 @@ void rollingCombo0Groups6Ops() {
         runner.test("RollingCombo- No Groups 12 Cols", q, "num1", "num2", "timestamp");
     }
 
-    @Test
+    @Test  @Disabled
     void rollingCombo1Groups6Ops() {
         setup.factors(2, 1, 1);
         runner.addSetupQuery(group100);
@@ -71,7 +71,7 @@ void rollingCombo1Groups6Ops() {
         runner.test("RollingCombo- 1 Groups 100 Unique Vals", q, "key1", "num1", "num2", "timestamp");
     }
 
-    @Test
+    @Test @Disabled
     void rollingCombo2Groups6Ops() {
         setup.factors(1, 2, 1);
         runner.addSetupQuery(group10K);
diff --git a/src/it/java/io/deephaven/benchmark/tests/standard/where/WhereTest.java b/src/it/java/io/deephaven/benchmark/tests/standard/where/WhereTest.java
index 02dd605a..4a90e96f 100644
--- a/src/it/java/io/deephaven/benchmark/tests/standard/where/WhereTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/standard/where/WhereTest.java
@@ -26,7 +26,7 @@ void where1Filter() {
         runner.test("Where- 1 Filter", q, "key1", "num1");
     }
 
-    @Test
+    @Test @Disabled
     void where2Filters() {
         runner.setScaleFactors(310, 300);
         var q = """

From 47f066f8a75c012faa9d95f06c8f8ca962c40c41 Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Fri, 13 Mar 2026 17:58:57 -0600
Subject: [PATCH 02/73] Scaled up basic math combo

---
 .../benchmark/tests/standard/aggby/BasicMathComboTest.java      | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/src/it/java/io/deephaven/benchmark/tests/standard/aggby/BasicMathComboTest.java b/src/it/java/io/deephaven/benchmark/tests/standard/aggby/BasicMathComboTest.java
index 0214e280..b9176a31 100644
--- a/src/it/java/io/deephaven/benchmark/tests/standard/aggby/BasicMathComboTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/standard/aggby/BasicMathComboTest.java
@@ -28,7 +28,7 @@ void setup() {
 
     @Test
     void mathComboAggBy7Ops0Groups() {
-        runner.setScaleFactors(40, 15);
+        runner.setScaleFactors(50, 25);
         var q = "source.agg_by(aggs)";
         runner.test("MathCombo-AggBy- 7 Ops No Groups", 1, q, "num1", "num2");
     }

From 15cf1f4d9c29b68bad4682005cd0c4407aef5bee Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Fri, 20 Mar 2026 17:49:29 -0600
Subject: [PATCH 03/73] Added a Local Parquet Generator as opposed to going
 through Kafka

---
 pom.xml                                       |   5 +
 .../tests/standard/StandardTestRunner.java    |   6 +-
 .../io/deephaven/benchmark/api/Bench.java     |  12 ++
 .../deephaven/benchmark/api/BenchTable.java   |  76 +++++++-
 .../generator/AvroKafkaGenerator.java         |  10 +-
 .../generator/LocalParquetGenerator.java      | 179 ++++++++++++++++++
 .../io/deephaven/benchmark/util/Filer.java    |  21 ++
 7 files changed, 299 insertions(+), 10 deletions(-)
 create mode 100644 src/main/java/io/deephaven/benchmark/generator/LocalParquetGenerator.java

diff --git a/pom.xml b/pom.xml
index 304b6632..490b2691 100644
--- a/pom.xml
+++ b/pom.xml
@@ -276,6 +276,11 @@
 			<artifactId>deephaven-java-client-barrage-dagger</artifactId>
 			<version>41.3</version>
 		</dependency>
+        <dependency>
+            <groupId>blue.strategic.parquet</groupId>
+            <artifactId>parquet-floor</artifactId>
+            <version>1.64</version>
+        </dependency>
 		<dependency>
 			<groupId>io.deephaven</groupId>
 			<artifactId>deephaven-log-to-slf4j</artifactId>
diff --git a/src/it/java/io/deephaven/benchmark/tests/standard/StandardTestRunner.java b/src/it/java/io/deephaven/benchmark/tests/standard/StandardTestRunner.java
index 3ca12176..09530e72 100644
--- a/src/it/java/io/deephaven/benchmark/tests/standard/StandardTestRunner.java
+++ b/src/it/java/io/deephaven/benchmark/tests/standard/StandardTestRunner.java
@@ -206,7 +206,7 @@ long getMaxExpectedRowCount(long expectedRowCount, long scaleFactor) {
     }
 
     String getReadOperation(int scaleFactor, long rowCount, String... loadColumns) {
-        var headRows = (rowCount >= getGeneratedRowCount())?"":".head(${rows})";
+        var headRows = (rowCount >= getGeneratedRowCount()) ? "" : ".head(${rows})";
         if (scaleFactor > 1 && mainTable.equals("timed") && Arrays.asList(loadColumns).contains("timestamp")) {
             var read = """
             merge([
@@ -215,7 +215,7 @@ String getReadOperation(int scaleFactor, long rowCount, String... loadColumns) {
                 'timestamp=timestamp.plusMillis((long)(ii / ${rows}) * ${rows})'
             ]).select()
             """;
-            read = read.replace("${headRows}",headRows);
+            read = read.replace("${headRows}", headRows);
             return read.replace("${scaleFactor}", "" + scaleFactor).replace("${rows}", "" + rowCount);
         }
 
@@ -226,7 +226,7 @@ String getReadOperation(int scaleFactor, long rowCount, String... loadColumns) {
             read = "merge([${readTable}] * ${scaleFactor})".replace("${readTable}", read);
             read = read.replace("${scaleFactor}", "" + scaleFactor);
         }
-        return read.replace("${headRows}",headRows).replace("${rows}", "" + rowCount);
+        return read.replace("${headRows}", headRows).replace("${rows}", "" + rowCount);
     }
 
     String getStaticQuery(String name, String operation, long rowCount, String... loadColumns) {
diff --git a/src/main/java/io/deephaven/benchmark/api/Bench.java b/src/main/java/io/deephaven/benchmark/api/Bench.java
index c4330dd9..182f6bb1 100644
--- a/src/main/java/io/deephaven/benchmark/api/Bench.java
+++ b/src/main/java/io/deephaven/benchmark/api/Bench.java
@@ -27,6 +27,11 @@ final public class Bench {
      * The root benchmark result directory
      */
     static final public Path rootOutputDir = Paths.get("results");
+    /**
+     * The root benchmark result directory
+     */
+    static final public Path tmpDir = createTmpDir();
+    
     /**
      * The name of the benchmark results csv file
      */
@@ -292,5 +297,12 @@ static private void setSystemProperties() {
             System.setProperty("timestamp.test.results", "false");
         }
     }
+    
+    static private Path createTmpDir() {
+        var f = Filer.createFile(System.getProperty("java.io.tmpdir"), "test.delete.me");
+        Filer.putFileText(f, "test write and delete");
+        Filer.delete(f);
+        return f.getParent();
+    }
 
 }
diff --git a/src/main/java/io/deephaven/benchmark/api/BenchTable.java b/src/main/java/io/deephaven/benchmark/api/BenchTable.java
index b00c00e3..93fdd5a1 100644
--- a/src/main/java/io/deephaven/benchmark/api/BenchTable.java
+++ b/src/main/java/io/deephaven/benchmark/api/BenchTable.java
@@ -197,14 +197,55 @@ public boolean generateParquet() {
         if (rowPauseMillis < 0)
             withRowPause(0, ChronoUnit.MILLIS);
 
-        bench.awaitCompletion(generateWithAvro());
-        Log.info("Produce Data Duration: " + timer.duration().toMillis());
+        var m = bench.awaitCompletion(generateWithAvro());
+        Log.info("Produce Send Rate: %.2f recs/sec", m.getValue("send.rate"));
+        Log.info("Produce Data Duration: %d secs", timer.duration().toMillis());
         timer = Timer.start();
 
         q = replaceTableAndGeneratorFields(kafkaToParquetQuery);
         bench.query(q).execute();
 
-        Log.info("DH Write Table Duration: " + timer.duration().toMillis());
+        Log.info("DH Write Table Duration: %d secs", timer.duration().toMillis());
+        return true;
+    }
+
+    /**
+     * Generate the table synchronously to a parquet file in the engine's data directory. If a parquet file already
+     * exists in the Deephaven data directory that matches this table definition, use it and skip generation. <pr/>
+     * Note: This is the same as <code>generateParquet()</code> except it generates the parquet file directly to the
+     * engine's data directory without going through kafka. As such, it will not work when the test runner and the
+     * engine are not co-located.
+     * 
+     * @return true if file was generated, otherwise false
+     */
+    public boolean generateLocalParquet() {
+        columns.setDefaultDistribution(getDefaultDistro());
+        String q = replaceTableAndGeneratorFields(useExistingParquetQuery);
+
+        AtomicBoolean usedExistingParquet = new AtomicBoolean(false);
+        bench.query(q).fetchAfter("used_existing_parquet_" + tableName, table -> {
+            usedExistingParquet.set(table.getValue(0, "UsedExistingParquet").toString().equalsIgnoreCase("true"));
+        }).execute();
+
+        if (usedExistingParquet.get()) {
+            Log.info("Using existing table '%s' with %s rows", tableName, getRowCount());
+            return false;
+        }
+        Log.info("Generating table '%s' with %s rows", tableName, getRowCount());
+        var timer = Timer.start();
+
+        if (rowPauseMillis < 0)
+            withRowPause(0, ChronoUnit.MILLIS);
+
+        var m = bench.awaitCompletion(generateWithLocalParquet());
+        Log.info("Produce Send Rate: %.2f recs/sec", m.getValue("send.rate"));
+        Log.info("Produce Data Duration: %d secs", timer.duration().toMillis());
+        timer = Timer.start();
+
+        q = replaceTableAndGeneratorFields(localToParquetQuery);
+        bench.query(q).execute();
+
+        Log.info("DH Write Table Duration: %d secs", timer.duration().toMillis());
         return true;
     }
 
@@ -236,6 +277,12 @@ private Future<Metrics> generateWithProtobuf() {
         generator = new ProtobufKafkaGenerator(bootstrapServer, schemaRegistry, tableName, columns, getCompression());
         return generator.produce(getRowPause(), getRowCount(), getRunDuration());
     }
+    
+    private Future<Metrics> generateWithLocalParquet() {
+        String parquetFile = Bench.tmpDir.resolve("local.tmp.parquet").toAbsolutePath().toString();
+        generator = new LocalParquetGenerator(parquetFile, tableName, columns, getCompression());
+        return generator.produce(getRowPause(), getRowCount(), getRunDuration());
+    }
 
     private int getRowPause() {
         if (rowPauseMillis >= 0)
@@ -302,6 +349,7 @@ private String replaceTableAndGeneratorFields(String query) {
         String compression = String.format(", compression_codec_name='%s'", codec);
 
         return query.replace("${table.name}", tableName)
+                .replace("${local.tmp.dir}", Bench.tmpDir.toAbsolutePath().toString())
                 .replace("${compression.codec}", compression)
                 .replace("${max.dict.keys}", ", max_dictionary_keys=2000000")
                 .replace("${max.dict.bytes}", ", max_dictionary_size=16777216")
@@ -317,6 +365,7 @@ private String replaceTableAndGeneratorFields(String query) {
 
     static final String generatorDefValues = """
         # Define files and generator configuration
+        local_tmp_parquet = '${local.tmp.dir}/local.tmp.parquet'
         table_parquet = '/data/${table.name}.parquet'
         table_gen_parquet = '/data/${table.definition.id}.gen.parquet'
         table_gen_def_text = '''${table.definition}'''
@@ -386,5 +435,26 @@ with open(table_gen_def_file, 'w') as f:
         from deephaven import garbage_collect
         garbage_collect()
         """;
+    
+    static final String localToParquetQuery = """
+        # Create a Parquet file from a Kafka topic
+        import jpy, os
+
+        if os.path.exists(table_parquet):
+            os.remove(table_parquet)
+
+        with open(table_gen_def_file, 'w') as f:
+            f.write(table_gen_def_text)
+        
+        import shutil
+        shutil.move(local_tmp_parquet, ${table.gen.parquet})
+        
+        os.link(table_gen_parquet, table_parquet)
+
+        del ${table.name}
+
+        from deephaven import garbage_collect
+        garbage_collect()
+        """;
 
 }
diff --git a/src/main/java/io/deephaven/benchmark/generator/AvroKafkaGenerator.java b/src/main/java/io/deephaven/benchmark/generator/AvroKafkaGenerator.java
index db662a88..e2d741e4 100644
--- a/src/main/java/io/deephaven/benchmark/generator/AvroKafkaGenerator.java
+++ b/src/main/java/io/deephaven/benchmark/generator/AvroKafkaGenerator.java
@@ -128,11 +128,13 @@ private Producer<String, GenericRecord> createProducer(String bootstrapServer, S
         props.put(KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class);
         props.put(VALUE_SERIALIZER_CLASS_CONFIG, KafkaAvroSerializer.class);
         props.put("schema.registry.url", schemaRegistryUrl);
-        props.put(ACKS_CONFIG, "0");
+        props.put(ENABLE_IDEMPOTENCE_CONFIG, "true");
+        props.put(MAX_IN_FLIGHT_REQUESTS_PER_CONNECTION, "1");
+        props.put(ACKS_CONFIG, "all");
         props.put(COMPRESSION_TYPE_CONFIG, getCompression(compression));
-        props.put(BATCH_SIZE_CONFIG, 16384);
-        props.put(BUFFER_MEMORY_CONFIG, 16384 * 4);
-        props.put(LINGER_MS_CONFIG, 50);
+        props.put(BATCH_SIZE_CONFIG, "512000");
+        props.put(BUFFER_MEMORY_CONFIG, "67108864");
+        props.put(LINGER_MS_CONFIG, 10);
         return new KafkaProducer<>(props);
     }
 
diff --git a/src/main/java/io/deephaven/benchmark/generator/LocalParquetGenerator.java b/src/main/java/io/deephaven/benchmark/generator/LocalParquetGenerator.java
new file mode 100644
index 00000000..7ff0009b
--- /dev/null
+++ b/src/main/java/io/deephaven/benchmark/generator/LocalParquetGenerator.java
@@ -0,0 +1,179 @@
+/* Copyright (c) 2026-2026 Deephaven Data Labs and Patent Pending */
+package io.deephaven.benchmark.generator;
+
+import java.nio.file.Path;
+import java.nio.file.Paths;
+import java.util.*;
+import java.util.concurrent.*;
+import java.util.concurrent.atomic.AtomicBoolean;
+import org.apache.parquet.schema.MessageType;
+import org.apache.parquet.schema.MessageTypeParser;
+import io.deephaven.benchmark.metric.Metrics;
+import io.deephaven.benchmark.util.Log;
+import io.deephaven.benchmark.util.Threads;
+import blue.strategic.parquet.*;
+
+/**
+ * Generator that produces rows to a local Parquet file according to the provided column definitions.
+ * consumer.
+ */
+public class LocalParquetGenerator implements Generator {
+    final private ExecutorService queue = Threads.single("ProtobufKafkaGenerator");
+    final private Path parquetOut;
+    final private ParquetWriter<Row> writer;
+    final private ColumnDefs columnDefs;
+    final private String topic;
+    final private MessageType schema;
+    final private AtomicBoolean isClosed = new AtomicBoolean(false);
+
+    /**
+     * Initialize with kafka server and schema registry locations, kafka topic, column definitions, and compression
+     * scheme
+     * 
+     * @param bootstrapServers the kafka external location (ex. localhost:9092)
+     * @param schemaRegistryUrl the ReST schema registry location (ex. localhost:8081)
+     * @param topic the kafka topic to produce record to (ex. mytable)
+     * @param columnDefs the column definitions specifying what the data looks like
+     * @param compression one of Kafka's <code>ProducerConfig.COMPRESSION_TYPE_CONFIG</code> schemes
+     */
+    public LocalParquetGenerator(String parquetFile, String topic, ColumnDefs columnDefs, String compression) {
+        this.topic = topic;
+        this.columnDefs = columnDefs;
+        this.schema = MessageTypeParser.parseMessageType(getSchemaMessage(topic, columnDefs));
+        this.parquetOut = Paths.get(parquetFile);
+        this.writer = createParquetWriter(schema, parquetOut);
+    }
+
+    /**
+     * Produce a maximum number of records to a Kafka topic asynchronously.
+     * 
+     * @param perRecordPauseMillis wait time between each record sent
+     * @param maxRecordCount maximum records to produce
+     * @param maxDurationSecs maximum duration to produce (May prevent maximum records from being produces)
+     */
+    public Future<Metrics> produce(int perRecordPauseMillis, long maxRecordCount, int maxDurationSecs) {
+        checkClosed();
+        var r = new Callable<Metrics>() {
+            @Override
+            public Metrics call() {
+                final long maxDuration = maxDurationSecs * 1000;
+                final long beginTime = System.currentTimeMillis();
+                long recCount = 0;
+                long duration = 0;
+                boolean isDone = false;
+                var rec = new Row(schema, new ArrayList<>(columnDefs.getCount()));
+                while (!isClosed.get() && !isDone) {
+                    try {
+                        if (recCount >= maxRecordCount) {
+                            isDone = true;
+                            continue;
+                        }
+                        // Build a record with the column defs for Parquet row write
+                        for (int i = 0, n = columnDefs.getCount(); i < n; i++) {
+                            var v = columnDefs.nextValue(i, recCount, maxRecordCount);
+                            rec.addValue(v);
+                        }
+                        // Write the record to Parquet file
+                        writer.write(rec);
+
+                        if (++recCount % 10_000_000 == 0)
+                            Log.info("Produced %s records to topic '%s'", recCount, topic);
+                        duration = System.currentTimeMillis() - beginTime;
+                        if (duration > maxDuration)
+                            isDone = true;
+                    } catch (Exception ex) {
+                        throw new RuntimeException("Failed to send to topic: " + topic, ex);
+                    }
+                }
+                Log.info("Produced %s records to topic: %s", recCount, topic);
+                var metrics = new Metrics("test-runner", "generate." + topic).set("duration.secs", duration / 1000.0)
+                        .set("record.count", recCount).set("send.rate", recCount / (duration / 1000.0));
+                return metrics;
+            }
+        };
+        return queue.submit(r);
+    }
+
+    /**
+     * Close the producer and shutdown any async threads created during production
+     */
+    public void close() {
+        if (isClosed.get())
+            return;
+        isClosed.set(true);
+        queue.shutdown();
+        try {
+            writer.close();
+        } catch (Exception ex) {
+            throw new RuntimeException("Failed to close Parquet writer for topic: " + topic, ex);
+        }
+    }
+
+    private void checkClosed() {
+        if (isClosed.get())
+            throw new RuntimeException("Generator is closed");
+    }
+
+    private ParquetWriter<Row> createParquetWriter(MessageType schema, Path parquetOut) {
+        try {
+            Dehydrator<Row> dehydrator = (row, valueWriter) -> {
+                row.write(valueWriter);
+            };
+            return ParquetWriter.writeFile(schema, parquetOut.toFile(), dehydrator);
+        } catch (Exception ex) {
+            throw new RuntimeException("Failed to create Parquet writer for topic: " + topic, ex);
+        }
+    }
+
+    private String getSchemaMessage(String topic, ColumnDefs fieldDefs) {
+        var schema = """
+        message ${topic} {
+            ${fields}
+        }
+        """;
+        var fields = "";
+        for (Map.Entry<String, String> e : fieldDefs.toTypeMap().entrySet()) {
+            var name = e.getKey();
+            var type = e.getValue();
+            fields += String.format("required %s %s %s\n", getFieldType(type), name, getCharEncoding(type));
+        }
+        schema = schema.replace("${topic}", topic);
+        return schema.replace("${fields}", fields);
+    }
+
+    private String getFieldType(String type) {
+        return switch (type) {
+            case "long" -> "int64";
+            case "int" -> "int32";
+            case "double" -> "double";
+            case "float" -> "float";
+            case "string" -> "string";
+            case "timestamp-millis" -> "google.protobuf.Timestamp";
+            default -> throw new RuntimeException("Unsupported generator data type: " + type);
+        };
+    }
+
+    private String getCharEncoding(String type) {
+        return switch (type) {
+            case "string" -> "UTF8";
+            default -> "";
+        };
+    }
+
+    record Row(MessageType schema, List<Object> values) {
+        public void addValue(Object value) {
+            values.add(value);
+        }
+
+        public void write(ValueWriter valueWriter) {
+            for (int i = 0, n = values.size(); i < n; i++) {
+                valueWriter.write(schema.getFieldName(i), values.get(i));
+            }
+        }
+
+        public void clear() {
+            values.clear();
+        }
+    }
+
+}
diff --git a/src/main/java/io/deephaven/benchmark/util/Filer.java b/src/main/java/io/deephaven/benchmark/util/Filer.java
index f14a85a9..b8d5bb4d 100644
--- a/src/main/java/io/deephaven/benchmark/util/Filer.java
+++ b/src/main/java/io/deephaven/benchmark/util/Filer.java
@@ -6,6 +6,8 @@
 import java.net.URL;
 import java.nio.file.Files;
 import java.nio.file.Path;
+import java.nio.file.Paths;
+import java.nio.file.attribute.PosixFilePermissions;
 import java.util.Comparator;
 import java.util.stream.Collectors;
 
@@ -34,6 +36,25 @@ static public void delete(Path path) {
         }
     }
 
+    /**
+     * Create a file with the given name in the given parent directory. Create the parent directory if it does not
+     * exist. Permissions are 755 for directories and 644 for files.
+     * 
+     * @param parentDir the parent directory to contain the file
+     * @param fileName the name of the file to create
+     * @return the path of the created file
+     */
+    static public Path createFile(String parentDir, String fileName) {
+        try {
+            var d = Files.createDirectories(Paths.get(parentDir), PosixFilePermissions.asFileAttribute(
+                    PosixFilePermissions.fromString("rwxr-xr-x")));
+            return Files.createFile(d.resolve(fileName),
+                    PosixFilePermissions.asFileAttribute(PosixFilePermissions.fromString("rw-r--r--")));
+        } catch (Exception ex) {
+            throw new RuntimeException("Failed to create temp file: " + fileName, ex);
+        }
+    }
+
     /**
      * Read the text of a file while preserving newlines and getting rid of carriage returns
      * 

From 86041116d663f8f2e8923cc9c4fbcd16adbc140a Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Mon, 23 Mar 2026 20:19:29 -0600
Subject: [PATCH 04/73] Added local parquet generator and 1st training test

---
 .../tests/standard/StandardTestRunner.java    | 51 ++++++++++++++-----
 .../benchmark/tests/train/AggByTrainTest.java | 40 +++++++++++++++
 .../tests/train/TrainTestRunner.java          | 40 +++++++++++++++
 .../io/deephaven/benchmark/api/Bench.java     |  6 +--
 .../deephaven/benchmark/api/BenchTable.java   | 39 +++++++-------
 .../generator/LocalParquetGenerator.java      | 19 ++++---
 6 files changed, 152 insertions(+), 43 deletions(-)
 create mode 100644 src/it/java/io/deephaven/benchmark/tests/train/AggByTrainTest.java
 create mode 100644 src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java

diff --git a/src/it/java/io/deephaven/benchmark/tests/standard/StandardTestRunner.java b/src/it/java/io/deephaven/benchmark/tests/standard/StandardTestRunner.java
index 09530e72..58e0c72f 100644
--- a/src/it/java/io/deephaven/benchmark/tests/standard/StandardTestRunner.java
+++ b/src/it/java/io/deephaven/benchmark/tests/standard/StandardTestRunner.java
@@ -1,4 +1,4 @@
-/* Copyright (c) 2022-2024 Deephaven Data Labs and Patent Pending */
+/* Copyright (c) 2022-2026 Deephaven Data Labs and Patent Pending */
 package io.deephaven.benchmark.tests.standard;
 
 import static org.junit.jupiter.api.Assertions.assertTrue;
@@ -32,6 +32,8 @@ final public class StandardTestRunner {
     private int staticFactor = 1;
     private int incFactor = 1;
     private int rowCountFactor = 1;
+    private boolean useMemorySource = true;
+    private boolean useLocalParquet = false;
 
     public StandardTestRunner(Object testInst) {
         this.testInst = testInst;
@@ -96,6 +98,25 @@ public void setServices(String... services) {
         requiredServices.addAll(Arrays.asList(services));
     }
 
+    /**
+     * Set if the generated tables are loaded into memory before running the test queries.
+     * 
+     * @return true if in memory source, otherwise false
+     */
+    public void useMemorySource(boolean useMemorySource) {
+        this.useMemorySource = useMemorySource;
+    }
+
+    /**
+     * Set if the generated tables are created through Deephaven (i.e. real client-server) or through the local file
+     * system (i.e. a local copy). The default of "false" is preferred.
+     * 
+     * @param useLocalParquet false to generate tables through Deephaven, otherwise false
+     */
+    public void useLocalParquet(boolean useLocalParquet) {
+        this.useLocalParquet = useLocalParquet;
+    }
+
     /**
      * Add a query to be run directly after the main table is loaded. It is not measured. This query can transform the
      * main table or supporting table, set up aggregations or updateby operations, etc.
@@ -207,26 +228,28 @@ long getMaxExpectedRowCount(long expectedRowCount, long scaleFactor) {
 
     String getReadOperation(int scaleFactor, long rowCount, String... loadColumns) {
         var headRows = (rowCount >= getGeneratedRowCount()) ? "" : ".head(${rows})";
+        var selectStr = useMemorySource ? "select" : "view";
         if (scaleFactor > 1 && mainTable.equals("timed") && Arrays.asList(loadColumns).contains("timestamp")) {
             var read = """
             merge([
                 read('/data/timed.parquet').view(formulas=[${loadColumns}])${headRows}
             ] * ${scaleFactor}).update_view([
                 'timestamp=timestamp.plusMillis((long)(ii / ${rows}) * ${rows})'
-            ]).select()
+            ]).${selectStr}()
             """;
-            read = read.replace("${headRows}", headRows);
+            read = read.replace("${headRows}", headRows).replace("${selectStr}", selectStr);
             return read.replace("${scaleFactor}", "" + scaleFactor).replace("${rows}", "" + rowCount);
         }
 
-        var read = "read('/data/${mainTable}.parquet')${headRows}.select(formulas=[${loadColumns}])";
+        var read = "read('/data/${mainTable}.parquet')${headRows}.${selectStr}(formulas=[${loadColumns}])";
         read = (loadColumns.length == 0) ? ("empty_table(${rows})") : read;
 
         if (scaleFactor > 1) {
             read = "merge([${readTable}] * ${scaleFactor})".replace("${readTable}", read);
             read = read.replace("${scaleFactor}", "" + scaleFactor);
         }
-        return read.replace("${headRows}", headRows).replace("${rows}", "" + rowCount);
+        read = read.replace("${headRows}", headRows).replace("${rows}", "" + rowCount);
+        return read.replace("${selectStr}", selectStr);
     }
 
     String getStaticQuery(String name, String operation, long rowCount, String... loadColumns) {
@@ -435,7 +458,7 @@ boolean generateNamedTable(String name, String distribution, String[] groups) {
     }
 
     boolean generateSourceTable(String distribution, String[] groups) {
-        return api.table("source")
+        var t = api.table("source")
                 .add("num1", "double", "[0-4]", distribution)
                 .add("num2", "double", "[1-10]", distribution)
                 .add("key1", "string", "[1-100]", distribution)
@@ -444,8 +467,8 @@ boolean generateSourceTable(String distribution, String[] groups) {
                 .add("key4", "int", "[0-98]", distribution)
                 .add("key5", "string", "[1-1000000]", distribution)
                 .withRowCount(getGeneratedRowCount())
-                .withColumnGrouping(groups)
-                .generateParquet();
+                .withColumnGrouping(groups);
+        return useLocalParquet ? t.generateLocalParquet() : t.generateParquet();
     }
 
     boolean generateRightTable(String distribution, String[] groups) {
@@ -455,21 +478,21 @@ boolean generateRightTable(String distribution, String[] groups) {
             distribution = "ascending";
         }
         supportTables.add("right");
-        return api.table("right")
+        var t = api.table("right")
                 .add("r_key1", "string", "[1-100]", distribution)
                 .add("r_key2", "string", "[1-101]", distribution)
                 .add("r_wild", "string", "[1-10000]", distribution)
                 .add("r_key4", "int", "[0-98]", distribution)
                 .add("r_key5", "string", "[1-1010000]", distribution)
                 .withRowCount(1010000)
-                .withColumnGrouping(groups)
-                .generateParquet();
+                .withColumnGrouping(groups);
+        return useLocalParquet ? t.generateLocalParquet() : t.generateParquet();
     }
 
     boolean generateTimedTable(String distribution, String[] groups) {
         long minTime = 1676557157537L;
         long maxTime = minTime + getGeneratedRowCount() - 1;
-        return api.table("timed")
+        var t = api.table("timed")
                 .add("timestamp", "timestamp-millis", "[" + minTime + "-" + maxTime + "]", "ascending")
                 .add("num1", "double", "[0-4]", distribution)
                 .add("num2", "double", "[1-10]", distribution)
@@ -478,8 +501,8 @@ boolean generateTimedTable(String distribution, String[] groups) {
                 .add("key3", "int", "[0-8]", distribution)
                 .add("key4", "int", "[0-98]", distribution)
                 .withFixedRowCount(true)
-                .withColumnGrouping(groups)
-                .generateParquet();
+                .withColumnGrouping(groups);
+        return useLocalParquet ? t.generateLocalParquet() : t.generateParquet();
     }
 
     record Result(long loadedRowCount, Duration elapsedTime, long resultRowCount) {
diff --git a/src/it/java/io/deephaven/benchmark/tests/train/AggByTrainTest.java b/src/it/java/io/deephaven/benchmark/tests/train/AggByTrainTest.java
new file mode 100644
index 00000000..e57f9393
--- /dev/null
+++ b/src/it/java/io/deephaven/benchmark/tests/train/AggByTrainTest.java
@@ -0,0 +1,40 @@
+/* Copyright (c) 2026-2026 Deephaven Data Labs and Patent Pending */
+package io.deephaven.benchmark.tests.train;
+
+import org.junit.jupiter.api.*;
+
+/**
+ * Standard tests for the aggBy table operation. Applies basic math aggregations to table data
+ */
+public class AggByTrainTest {
+    final TrainTestRunner runner = new TrainTestRunner(this);
+
+    @BeforeEach
+    void setup() {
+        runner.setRowFactor(2);
+        runner.tables("source");
+
+        var setupStr = """
+        from deephaven import agg
+        
+        aggs = [
+           agg.sum_('Sum=num1'), agg.std('Std=num2'), agg.min_('Min=num1'), agg.max_('Max=num2'),
+           agg.avg('Avg=num1'), agg.var('Var=num2'), agg.count_('num1')
+        ]
+        """;
+        runner.addSetupQuery(setupStr);
+    }
+
+    @Test
+    void mathComboAggBy7Ops0Groups() {
+        var q = "source.agg_by(aggs)";
+        runner.test("MathCombo-AggBy- 7 Ops No Groups", 1, q, "num1", "num2");
+    }
+
+    @Test
+    void mathComboAggBy7Ops2Groups() {
+        var q = "source.agg_by(aggs, by=['key1', 'key2'])";
+        runner.test("MathCombo-AggBy- 7 Ops 2 Groups 10K Unique Combos ", 10100, q, "key1", "key2", "num1", "num2");
+    }
+
+}
diff --git a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
new file mode 100644
index 00000000..9acba188
--- /dev/null
+++ b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
@@ -0,0 +1,40 @@
+/* Copyright (c) 2026-2026 Deephaven Data Labs and Patent Pending */
+package io.deephaven.benchmark.tests.train;
+
+import io.deephaven.benchmark.tests.standard.StandardTestRunner;
+
+/**
+ * A wrapper for the Bench api that allows the running of operational training (think AOT) tests without requiring the
+ * boilerplate logic like imports, parquet reads, time measurement logic, etc. Each <code>test</code> runs two
+ * benchmarks; one reading from a static parquet, and the other exercising ticking tables through the
+ * <code>AutotuningIncrementalReleaseFilter</code>. This is different from the <code>StandardTestRunner</code> in that
+ * it runs more than one operation per benchmark and attempts to cover the majority of the query code base with fewer
+ * benchmarks. It is meant for training AOT and for "representative" benchmarks used to compare things like JDK/Python
+ * versions and GC types.
+ */
+final public class TrainTestRunner {
+    final StandardTestRunner delegate;
+
+    TrainTestRunner(Object testInst) {
+        this.delegate = new StandardTestRunner(testInst);
+        delegate.useMemorySource(false);
+        delegate.useLocalParquet(true);
+    }
+
+    public void setRowFactor(int i) {
+        delegate.setRowFactor(i);
+    }
+
+    public void tables(String... names) {
+        delegate.tables(names);
+    }
+
+    public void addSetupQuery(String query) {
+        delegate.addSetupQuery(query);
+    }
+
+    public void test(String name, long maxExpectedRowCount, String operation, String... loadColumns) {
+        delegate.test(name, maxExpectedRowCount, operation, loadColumns);
+    }
+
+}
\ No newline at end of file
diff --git a/src/main/java/io/deephaven/benchmark/api/Bench.java b/src/main/java/io/deephaven/benchmark/api/Bench.java
index 182f6bb1..c5570512 100644
--- a/src/main/java/io/deephaven/benchmark/api/Bench.java
+++ b/src/main/java/io/deephaven/benchmark/api/Bench.java
@@ -31,7 +31,7 @@ final public class Bench {
      * The root benchmark result directory
      */
     static final public Path tmpDir = createTmpDir();
-    
+
     /**
      * The name of the benchmark results csv file
      */
@@ -297,9 +297,9 @@ static private void setSystemProperties() {
             System.setProperty("timestamp.test.results", "false");
         }
     }
-    
+
     static private Path createTmpDir() {
-        var f = Filer.createFile(System.getProperty("java.io.tmpdir"), "test.delete.me");
+        var f = Filer.createFile(System.getProperty("java.io.tmpdir") + "/bench", "test.delete.me");
         Filer.putFileText(f, "test write and delete");
         Filer.delete(f);
         return f.getParent();
diff --git a/src/main/java/io/deephaven/benchmark/api/BenchTable.java b/src/main/java/io/deephaven/benchmark/api/BenchTable.java
index 93fdd5a1..88ebf3e3 100644
--- a/src/main/java/io/deephaven/benchmark/api/BenchTable.java
+++ b/src/main/java/io/deephaven/benchmark/api/BenchTable.java
@@ -6,6 +6,7 @@
 import java.time.temporal.ChronoUnit;
 import java.util.concurrent.Future;
 import java.util.concurrent.atomic.AtomicBoolean;
+import java.util.concurrent.atomic.AtomicReference;
 import io.deephaven.benchmark.generator.*;
 import io.deephaven.benchmark.metric.Metrics;
 import io.deephaven.benchmark.util.Ids;
@@ -220,11 +221,15 @@ public boolean generateParquet() {
      */
     public boolean generateLocalParquet() {
         columns.setDefaultDistribution(getDefaultDistro());
-        String q = replaceTableAndGeneratorFields(useExistingParquetQuery);
+        var q = replaceTableAndGeneratorFields(useExistingParquetQuery);
 
-        AtomicBoolean usedExistingParquet = new AtomicBoolean(false);
+        var usedExistingParquet = new AtomicBoolean(false);
+        var tableGenParquet = new AtomicReference<String>("");
+        var hostDataDir = new AtomicReference<String>("");
         bench.query(q).fetchAfter("used_existing_parquet_" + tableName, table -> {
             usedExistingParquet.set(table.getValue(0, "UsedExistingParquet").toString().equalsIgnoreCase("true"));
+            tableGenParquet.set(table.getValue(0, "TableGenParquet").toString());
+            hostDataDir.set(table.getValue(0, "HostDataDir").toString());
         }).execute();
 
         if (usedExistingParquet.get()) {
@@ -237,13 +242,12 @@ public boolean generateLocalParquet() {
         if (rowPauseMillis < 0)
             withRowPause(0, ChronoUnit.MILLIS);
 
-        var m = bench.awaitCompletion(generateWithLocalParquet());
+        var m = bench.awaitCompletion(generateWithLocalParquet(hostDataDir.get(), tableGenParquet.get()));
         Log.info("Produce Send Rate: %.2f recs/sec", m.getValue("send.rate"));
         Log.info("Produce Data Duration: %d secs", timer.duration().toMillis());
         timer = Timer.start();
 
-        q = replaceTableAndGeneratorFields(localToParquetQuery);
-        bench.query(q).execute();
+        bench.query(localToParquetQuery).execute();
 
         Log.info("DH Write Table Duration: %d secs", timer.duration().toMillis());
         return true;
@@ -277,9 +281,11 @@ private Future<Metrics> generateWithProtobuf() {
         generator = new ProtobufKafkaGenerator(bootstrapServer, schemaRegistry, tableName, columns, getCompression());
         return generator.produce(getRowPause(), getRowCount(), getRunDuration());
     }
-    
-    private Future<Metrics> generateWithLocalParquet() {
-        String parquetFile = Bench.tmpDir.resolve("local.tmp.parquet").toAbsolutePath().toString();
+
+    private Future<Metrics> generateWithLocalParquet(String hostDataDir, String tableGenParquet) {
+        if (hostDataDir.isEmpty())
+            throw new RuntimeException("HOST_DATA_DIR env must be set to use local parquet generation");
+        String parquetFile = hostDataDir + "/" + tableGenParquet.replaceAll("^/data/", "");
         generator = new LocalParquetGenerator(parquetFile, tableName, columns, getCompression());
         return generator.produce(getRowPause(), getRowCount(), getRunDuration());
     }
@@ -349,7 +355,6 @@ private String replaceTableAndGeneratorFields(String query) {
         String compression = String.format(", compression_codec_name='%s'", codec);
 
         return query.replace("${table.name}", tableName)
-                .replace("${local.tmp.dir}", Bench.tmpDir.toAbsolutePath().toString())
                 .replace("${compression.codec}", compression)
                 .replace("${max.dict.keys}", ", max_dictionary_keys=2000000")
                 .replace("${max.dict.bytes}", ", max_dictionary_size=16777216")
@@ -365,7 +370,6 @@ private String replaceTableAndGeneratorFields(String query) {
 
     static final String generatorDefValues = """
         # Define files and generator configuration
-        local_tmp_parquet = '${local.tmp.dir}/local.tmp.parquet'
         table_parquet = '/data/${table.name}.parquet'
         table_gen_parquet = '/data/${table.definition.id}.gen.parquet'
         table_gen_def_text = '''${table.definition}'''
@@ -395,7 +399,11 @@ with open(path) as f:
             os.link(str(matching_gen_parquet) + '.gen.parquet', table_parquet)
             usedExisting = True
 
-        used_existing_parquet_${table.name} = new_table([string_col("UsedExistingParquet", [str(usedExisting)])])
+        used_existing_parquet_${table.name} = new_table([
+            string_col("UsedExistingParquet", [str(usedExisting)]),
+            string_col("TableGenParquet", [table_gen_parquet]),
+            string_col("HostDataDir", [os.getenv("HOST_DATA_DIR","")])
+        ])
         """;
 
     static final String kafkaToParquetQuery = """
@@ -435,9 +443,9 @@ with open(table_gen_def_file, 'w') as f:
         from deephaven import garbage_collect
         garbage_collect()
         """;
-    
+
     static final String localToParquetQuery = """
-        # Create a Parquet file from a Kafka topic
+        # Link an already created parquet file
         import jpy, os
 
         if os.path.exists(table_parquet):
@@ -446,13 +454,8 @@ with open(table_gen_def_file, 'w') as f:
         with open(table_gen_def_file, 'w') as f:
             f.write(table_gen_def_text)
         
-        import shutil
-        shutil.move(local_tmp_parquet, ${table.gen.parquet})
-        
         os.link(table_gen_parquet, table_parquet)
 
-        del ${table.name}
-
         from deephaven import garbage_collect
         garbage_collect()
         """;
diff --git a/src/main/java/io/deephaven/benchmark/generator/LocalParquetGenerator.java b/src/main/java/io/deephaven/benchmark/generator/LocalParquetGenerator.java
index 7ff0009b..884e5d33 100644
--- a/src/main/java/io/deephaven/benchmark/generator/LocalParquetGenerator.java
+++ b/src/main/java/io/deephaven/benchmark/generator/LocalParquetGenerator.java
@@ -1,4 +1,4 @@
-/* Copyright (c) 2026-2026 Deephaven Data Labs and Patent Pending */
+/* Copyright (c) 2022-2026 Deephaven Data Labs and Patent Pending */
 package io.deephaven.benchmark.generator;
 
 import java.nio.file.Path;
@@ -14,11 +14,13 @@
 import blue.strategic.parquet.*;
 
 /**
- * Generator that produces rows to a local Parquet file according to the provided column definitions.
- * consumer.
+ * Generator that produces rows to a local Parquet file according to the provided column definitions.<pr/> Note: This
+ * generator MUST generate the same row and column data in the same order and types as the non-local
+ * <code>AvroKafkaGenerator</code> when the two generators have the same column definitions. (The "same data" is defined
+ * by how it looks in Deephaven tables, not byte-for-byte in the files.)
  */
 public class LocalParquetGenerator implements Generator {
-    final private ExecutorService queue = Threads.single("ProtobufKafkaGenerator");
+    final private ExecutorService queue = Threads.single("LocalParquetGenerator");
     final private Path parquetOut;
     final private ParquetWriter<Row> writer;
     final private ColumnDefs columnDefs;
@@ -75,6 +77,7 @@ public Metrics call() {
                         }
                         // Write the record to Parquet file
                         writer.write(rec);
+                        rec.clear();
 
                         if (++recCount % 10_000_000 == 0)
                             Log.info("Produced %s records to topic '%s'", recCount, topic);
@@ -82,7 +85,7 @@ public Metrics call() {
                         if (duration > maxDuration)
                             isDone = true;
                     } catch (Exception ex) {
-                        throw new RuntimeException("Failed to send to topic: " + topic, ex);
+                        throw new RuntimeException("Failed to write to topic: " + topic, ex);
                     }
                 }
                 Log.info("Produced %s records to topic: %s", recCount, topic);
@@ -135,7 +138,7 @@ private String getSchemaMessage(String topic, ColumnDefs fieldDefs) {
         for (Map.Entry<String, String> e : fieldDefs.toTypeMap().entrySet()) {
             var name = e.getKey();
             var type = e.getValue();
-            fields += String.format("required %s %s %s\n", getFieldType(type), name, getCharEncoding(type));
+            fields += String.format("required %s %s %s;\n", getFieldType(type), name, getCharEncoding(type));
         }
         schema = schema.replace("${topic}", topic);
         return schema.replace("${fields}", fields);
@@ -147,7 +150,7 @@ private String getFieldType(String type) {
             case "int" -> "int32";
             case "double" -> "double";
             case "float" -> "float";
-            case "string" -> "string";
+            case "string" -> "binary";
             case "timestamp-millis" -> "google.protobuf.Timestamp";
             default -> throw new RuntimeException("Unsupported generator data type: " + type);
         };
@@ -155,7 +158,7 @@ private String getFieldType(String type) {
 
     private String getCharEncoding(String type) {
         return switch (type) {
-            case "string" -> "UTF8";
+            case "string" -> "(UTF8)";
             default -> "";
         };
     }

From 83b1c11167cc6b4e9ffe95f5f2ab0ea35c5189d8 Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Wed, 25 Mar 2026 13:53:41 -0600
Subject: [PATCH 05/73] Added more train benchmarks. Improved Local Parquet
 Generator

---
 pom.xml                                       |  3 +-
 .../tests/standard/StandardTestRunner.java    | 14 ++---
 .../benchmark/tests/train/AggByTrainTest.java | 23 ++++----
 .../tests/train/FilterTrainTest.java          | 45 ++++++++++++++++
 .../tests/train/FormulaTrainTest.java         | 50 +++++++++++++++++
 .../tests/train/NaturalJoinTrainTest.java     | 33 ++++++++++++
 .../tests/train/OrderedTrainTest.java         | 43 +++++++++++++++
 .../tests/train/TrainTestRunner.java          | 17 +++---
 .../tests/train/UpdateByTrainTest.java        | 53 +++++++++++++++++++
 .../io/deephaven/benchmark/api/Bench.java     | 11 ----
 .../deephaven/benchmark/api/BenchTable.java   | 14 +++--
 .../benchmark/generator/ColumnDefs.java       |  2 +-
 .../generator/LocalParquetGenerator.java      | 23 ++++----
 13 files changed, 275 insertions(+), 56 deletions(-)
 create mode 100644 src/it/java/io/deephaven/benchmark/tests/train/FilterTrainTest.java
 create mode 100644 src/it/java/io/deephaven/benchmark/tests/train/FormulaTrainTest.java
 create mode 100644 src/it/java/io/deephaven/benchmark/tests/train/NaturalJoinTrainTest.java
 create mode 100644 src/it/java/io/deephaven/benchmark/tests/train/OrderedTrainTest.java
 create mode 100644 src/it/java/io/deephaven/benchmark/tests/train/UpdateByTrainTest.java

diff --git a/pom.xml b/pom.xml
index 490b2691..c0c7c2dd 100644
--- a/pom.xml
+++ b/pom.xml
@@ -178,7 +178,7 @@
 							<file>${project.basedir}/eclipse-java-google-style.xml</file>
 						</eclipse>
 						<licenseHeader>
-							<content>/* Copyright (c) 2022-$YEAR Deephaven Data Labs and Patent Pending */</content>
+							<content>/* Copyright (c) $YEAR Deephaven Data Labs and Patent Pending */</content>
 						</licenseHeader>
 					</java>
 				</configuration>
@@ -276,6 +276,7 @@
 			<artifactId>deephaven-java-client-barrage-dagger</artifactId>
 			<version>41.3</version>
 		</dependency>
+		<!-- Use the same parquet hadoop version is DHC -->
         <dependency>
             <groupId>blue.strategic.parquet</groupId>
             <artifactId>parquet-floor</artifactId>
diff --git a/src/it/java/io/deephaven/benchmark/tests/standard/StandardTestRunner.java b/src/it/java/io/deephaven/benchmark/tests/standard/StandardTestRunner.java
index 58e0c72f..a36c5647 100644
--- a/src/it/java/io/deephaven/benchmark/tests/standard/StandardTestRunner.java
+++ b/src/it/java/io/deephaven/benchmark/tests/standard/StandardTestRunner.java
@@ -214,12 +214,12 @@ public void test(String name, long maxExpectedRowCount, String operation, String
         }
     }
 
-    long getWarmupRowCount() {
-        return (long) (api.propertyAsIntegral("warmup.row.count", "0") * rowCountFactor);
+    public long getGeneratedRowCount() {
+        return (long) (api.propertyAsIntegral("scale.row.count", "100000") * rowCountFactor);
     }
 
-    long getGeneratedRowCount() {
-        return (long) (api.propertyAsIntegral("scale.row.count", "100000") * rowCountFactor);
+    long getWarmupRowCount() {
+        return (long) (api.propertyAsIntegral("warmup.row.count", "0") * rowCountFactor);
     }
 
     long getMaxExpectedRowCount(long expectedRowCount, long scaleFactor) {
@@ -478,15 +478,15 @@ boolean generateRightTable(String distribution, String[] groups) {
             distribution = "ascending";
         }
         supportTables.add("right");
-        var t = api.table("right")
+        return api.table("right")
                 .add("r_key1", "string", "[1-100]", distribution)
                 .add("r_key2", "string", "[1-101]", distribution)
                 .add("r_wild", "string", "[1-10000]", distribution)
                 .add("r_key4", "int", "[0-98]", distribution)
                 .add("r_key5", "string", "[1-1010000]", distribution)
                 .withRowCount(1010000)
-                .withColumnGrouping(groups);
-        return useLocalParquet ? t.generateLocalParquet() : t.generateParquet();
+                .withColumnGrouping(groups)
+                .generateParquet();
     }
 
     boolean generateTimedTable(String distribution, String[] groups) {
diff --git a/src/it/java/io/deephaven/benchmark/tests/train/AggByTrainTest.java b/src/it/java/io/deephaven/benchmark/tests/train/AggByTrainTest.java
index e57f9393..be031ebf 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/AggByTrainTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/AggByTrainTest.java
@@ -4,15 +4,14 @@
 import org.junit.jupiter.api.*;
 
 /**
- * Standard tests for the aggBy table operation. Applies basic math aggregations to table data
+ * Training tests for the aggBy table operations that do aggregations (e.g. sum, std, min/max. var, avg). See
+ * <code>TrainTestRunner</code> for more information.
  */
 public class AggByTrainTest {
     final TrainTestRunner runner = new TrainTestRunner(this);
 
-    @BeforeEach
-    void setup() {
-        runner.setRowFactor(2);
-        runner.tables("source");
+    void setup(double rowFactor) {
+        runner.tables(rowFactor, "timed");
 
         var setupStr = """
         from deephaven import agg
@@ -26,15 +25,17 @@ void setup() {
     }
 
     @Test
-    void mathComboAggBy7Ops0Groups() {
-        var q = "source.agg_by(aggs)";
-        runner.test("MathCombo-AggBy- 7 Ops No Groups", 1, q, "num1", "num2");
+    void aggBy0Groups() {
+        setup(40);
+        var q = "timed.agg_by(aggs)";
+        runner.test("AggBy- No Groups", 1, q, "num1", "num2");
     }
 
     @Test
-    void mathComboAggBy7Ops2Groups() {
-        var q = "source.agg_by(aggs, by=['key1', 'key2'])";
-        runner.test("MathCombo-AggBy- 7 Ops 2 Groups 10K Unique Combos ", 10100, q, "key1", "key2", "num1", "num2");
+    void aggBy2Groups() {
+        setup(20);
+        var q = "timed.agg_by(aggs, by=['key1', 'key2'])";
+        runner.test("AggBy- 2 Groups 10K Unique Combos ", 10100, q, "key1", "key2", "num1", "num2");
     }
 
 }
diff --git a/src/it/java/io/deephaven/benchmark/tests/train/FilterTrainTest.java b/src/it/java/io/deephaven/benchmark/tests/train/FilterTrainTest.java
new file mode 100644
index 00000000..96636b25
--- /dev/null
+++ b/src/it/java/io/deephaven/benchmark/tests/train/FilterTrainTest.java
@@ -0,0 +1,45 @@
+/* Copyright (c) 2022-2024 Deephaven Data Labs and Patent Pending */
+package io.deephaven.benchmark.tests.train;
+
+import org.junit.jupiter.api.*;
+import io.deephaven.benchmark.tests.standard.StandardTestRunner;
+
+/**
+ * Standard tests for the whereIn table operation. Filters rows of data from the source table where the rows match
+ * column values in the filter table.
+ */
+@Tag("Iterate")
+public class FilterTrainTest {
+    final TrainTestRunner runner = new TrainTestRunner(this);
+
+    void setup(double rowFactor) {
+        runner.tables(rowFactor, "timed");
+        var setup = """
+        from deephaven.column import string_col, int_col
+        where_filter = new_table([
+        	string_col("set1", ['1', '2', '3', '4', '5', '6', '7', '8']),
+        	string_col("set2", ['10', '20', '30', '40', '50', '60', '70', '80']),
+        	int_col("set3", [-1, -2, -3, -4, 1, 2, 3, 4])
+        ])
+        """;
+        runner.addSetupQuery(setup);
+    }
+
+    @Test
+    void filter1Col() {
+        setup(40);
+        var q = "timed.where_in(where_filter, cols=['key1 = set1']).where(['key1 < `4`'])";
+        runner.test("Filter- 1 Col", 0, q, "key1", "num1");
+    }
+    
+    @Test
+    void filter3Cols() {
+        setup(40);
+        var q = """
+        timed.where_in(where_filter, cols=['key1 = set1', 'key2 = set2', 'key3 = set3']) \
+            .where(filters=["key1 = '1'", "key2 < '100'", "key3 in -2, -1, 0, 1, 2"])
+        """;
+        runner.test("Filter- 3 Cols", 0, q, "key1", "key2", "key3", "num1");
+    }
+
+}
diff --git a/src/it/java/io/deephaven/benchmark/tests/train/FormulaTrainTest.java b/src/it/java/io/deephaven/benchmark/tests/train/FormulaTrainTest.java
new file mode 100644
index 00000000..00b263c6
--- /dev/null
+++ b/src/it/java/io/deephaven/benchmark/tests/train/FormulaTrainTest.java
@@ -0,0 +1,50 @@
+/* Copyright (c) 2026-2026 Deephaven Data Labs and Patent Pending */
+package io.deephaven.benchmark.tests.train;
+
+import org.junit.jupiter.api.*;
+
+/**
+ * Training tests for the formula table operations (e.g. udf, inline). See <code>TrainTestRunner</code> for more
+ * information.
+ */
+public class FormulaTrainTest {
+    final TrainTestRunner runner = new TrainTestRunner(this);
+
+    void setup(double rowFactor) {
+        runner.tables(rowFactor, "timed");
+    }
+
+    @Test
+    void formulaUdf() {
+        setup(5);
+        var setup = """
+        def f_py(num1: float, num2: float) -> float:
+            return (num2 + num1) / 2
+        def f_np(num1: np.float64, num2: np.float64) -> np.float64:
+            return num1 + num2
+        """;
+        runner.addSetupQuery(setup);
+        var q = "timed.view(['New1 = f_py(num1, num2)','New2 = f_np(num1, num2)']).sum_by()";
+        runner.test("Formula- UDF 2 Calcs", 1, q, "num1", "num2");
+    }
+
+    @Test
+    void formulaInline() {
+        setup(40);
+        var q = "timed.view(['New1 = (float)((num2 + num1) / 2)', 'New2 = (float)(num1 + num2)']).sum_by()";
+        runner.test("Formula- Inline 2 Calcs", 1, q, "num1", "num2");
+    }
+    
+    @Test
+    void formulaDate() {
+        setup(1.75);
+        var q = """
+        timed.view([
+            'New1 = parseDuration(`PT4H52M14S`).toHours()', 
+            'New1 = parseInstant(`2023-05-31T04:52:14.001 ET`).getEpochSecond()'
+        ]).sum_by()
+        """;
+        runner.test("Formula- Inline 2 Dates", 1, q, "num1", "num2");
+    }
+
+}
diff --git a/src/it/java/io/deephaven/benchmark/tests/train/NaturalJoinTrainTest.java b/src/it/java/io/deephaven/benchmark/tests/train/NaturalJoinTrainTest.java
new file mode 100644
index 00000000..b8d12107
--- /dev/null
+++ b/src/it/java/io/deephaven/benchmark/tests/train/NaturalJoinTrainTest.java
@@ -0,0 +1,33 @@
+/* Copyright (c) 2026-2026 Deephaven Data Labs and Patent Pending */
+package io.deephaven.benchmark.tests.train;
+
+import org.junit.jupiter.api.*;
+
+/**
+ * Training tests for the aggBy table operations that do joins (e.g. natural join). See
+ * <code>TrainTestRunner</code> for more information.
+ */
+public class NaturalJoinTrainTest {
+    final TrainTestRunner runner = new TrainTestRunner(this);
+
+    void setup(double rowFactor) {
+        runner.tables(rowFactor, "timed", "right");
+    }
+
+    @Test
+    void naturalJoinOn1Col() {
+        setup(40);
+        var r = "right = right.select_distinct(['r_wild'])";
+        runner.addSetupQuery(r);
+        var q = "timed.natural_join(right, on=['key1 = r_wild'])";
+        runner.test("NaturalJoin- Join On 1 Col", 0, q, "key1", "num1");
+    }
+    
+    @Test
+    void naturalJoinOn3Cols() {
+        setup(20);
+        var q = "timed.natural_join(right, on=['key1 = r_wild', 'key2 = r_key2', 'key1 = r_key1'])";
+        runner.test("NaturalJoin- Join On 3 Cols", 0, q, "key1", "key2", "num1");
+    }
+
+}
diff --git a/src/it/java/io/deephaven/benchmark/tests/train/OrderedTrainTest.java b/src/it/java/io/deephaven/benchmark/tests/train/OrderedTrainTest.java
new file mode 100644
index 00000000..7e27bb40
--- /dev/null
+++ b/src/it/java/io/deephaven/benchmark/tests/train/OrderedTrainTest.java
@@ -0,0 +1,43 @@
+/* Copyright (c) 2026-2026 Deephaven Data Labs and Patent Pending */
+package io.deephaven.benchmark.tests.train;
+
+import org.junit.jupiter.api.*;
+import io.deephaven.benchmark.tests.standard.StandardTestRunner;
+
+/**
+ * Training tests for the aggBy table operations that do ordering (e.g.. median, percentile, sorted_first/last). See
+ * <code>TrainTestRunner</code> for more information.
+ * 
+ */
+public class OrderedTrainTest {
+    final TrainTestRunner runner = new TrainTestRunner(this);
+
+    void setup(double rowFactor) {
+        runner.tables(rowFactor, "timed");
+
+        var setupStr = """
+        from deephaven import agg
+        aggs = [
+           agg.median('Median=num1'), agg.pct(0.50, ['Percentile=num1']), 
+           agg.unique('Unique=num2'), agg.sorted_first('key4', ['num2']),
+           agg.sorted_last('key3', ['num1'])
+        ]
+        """;
+        runner.addSetupQuery(setupStr);
+    }
+
+    @Test
+    void ordered0Groups() {
+        setup(21);
+        var q = "timed.agg_by(aggs)";
+        runner.test("Ordered- No Groups", 100, q, "key3", "key4", "num1", "num2");
+    }
+
+    @Test
+    void ordered2Groups() {
+        setup(5);
+        var q = "timed.agg_by(aggs, by=['key1', 'key2'])";
+        runner.test("Ordered- 2 Groups 10K Unique Combos", 10100, q, "key1", "key2", "key3", "key4", "num1", "num2");
+    }
+
+}
diff --git a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
index 9acba188..38b3a4cf 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
@@ -1,6 +1,7 @@
 /* Copyright (c) 2026-2026 Deephaven Data Labs and Patent Pending */
 package io.deephaven.benchmark.tests.train;
 
+import java.util.Arrays;
 import io.deephaven.benchmark.tests.standard.StandardTestRunner;
 
 /**
@@ -13,20 +14,24 @@
  * versions and GC types.
  */
 final public class TrainTestRunner {
+    static final int maxRowFactor = 40;
     final StandardTestRunner delegate;
+    final long baseRowCount;
 
     TrainTestRunner(Object testInst) {
         this.delegate = new StandardTestRunner(testInst);
+        this.baseRowCount = delegate.getGeneratedRowCount();
         delegate.useMemorySource(false);
         delegate.useLocalParquet(true);
+        delegate.setRowFactor(maxRowFactor);
     }
 
-    public void setRowFactor(int i) {
-        delegate.setRowFactor(i);
-    }
-
-    public void tables(String... names) {
+    public void tables(double rowFactor, String... names) {
         delegate.tables(names);
+        if (rowFactor > maxRowFactor)
+            throw new IllegalArgumentException("Row factor cannot be greater than " + maxRowFactor);
+        var q = "%s = %s.head(%d)".formatted(names[0], names[0], (long) (baseRowCount * rowFactor));
+        delegate.addSetupQuery(q);
     }
 
     public void addSetupQuery(String query) {
@@ -37,4 +42,4 @@ public void test(String name, long maxExpectedRowCount, String operation, String
         delegate.test(name, maxExpectedRowCount, operation, loadColumns);
     }
 
-}
\ No newline at end of file
+}
diff --git a/src/it/java/io/deephaven/benchmark/tests/train/UpdateByTrainTest.java b/src/it/java/io/deephaven/benchmark/tests/train/UpdateByTrainTest.java
new file mode 100644
index 00000000..4af63515
--- /dev/null
+++ b/src/it/java/io/deephaven/benchmark/tests/train/UpdateByTrainTest.java
@@ -0,0 +1,53 @@
+/* Copyright (c) 2022-2026 Deephaven Data Labs and Patent Pending */
+package io.deephaven.benchmark.tests.train;
+
+import org.junit.jupiter.api.*;
+
+/**
+ * Standard tests for the updateBy table operation. Combines a mixture of rolling operations and cumulative operations
+ */
+public class UpdateByTrainTest {
+    final TrainTestRunner runner = new TrainTestRunner(this);
+    final String noGroups = """
+        avg_contains = rolling_avg_time(ts_col='timestamp',cols=['A=num1','B=num2'],rev_time='PT5S',fwd_time='PT5S')
+        max_before = rolling_max_tick(cols=['C=num1','D=num2'], rev_ticks=3000,fwd_ticks=-1000)
+        prod_after = rolling_prod_time(ts_col='timestamp',cols=['E=num1','F=num2'],rev_time='-PT1S',fwd_time='PT4S')
+        """;
+    final String group10K = """
+        avg_contains = rolling_avg_time(ts_col='timestamp',cols=['A=num1','B=num2'],rev_time='PT4M',fwd_time='PT5M')
+        max_before = rolling_max_tick(cols=['C=num1','D=num2'], rev_ticks=30,fwd_ticks=-10)
+        prod_after = rolling_prod_time(ts_col='timestamp',cols=['E=num1','F=num2'],rev_time='-PT1M',fwd_time='PT4M')
+        """;
+
+    void setup(double rowFactor) {
+        runner.tables(rowFactor, "timed");
+        var setup = """
+        from deephaven.updateby import rolling_avg_time, rolling_max_tick, rolling_prod_time
+        from deephaven.updateby import ema_tick, cum_min, cum_sum
+
+        ema_tick_op = ema_tick(decay_ticks=10000,cols=['G=num1','H=num2'])
+        min_op = cum_min(cols=['I=num1','J=num2'])
+        sum_op = cum_sum(cols=['K=num1','L=num2'])
+        """;
+        runner.addSetupQuery(setup);
+    }
+
+    @Test
+    void mixedComboNoGroups() {
+        setup(10);
+        runner.addSetupQuery(noGroups);
+        var q = "timed.update_by(ops=[avg_contains, max_before, prod_after, ema_tick_op, min_op, sum_op])";
+        runner.test("UpdateBy- No Groups 12 Cols", 0, q, "num1", "num2", "timestamp");
+    }
+
+    @Test
+    void rollingCombo2Groups() {
+        setup(3);
+        runner.addSetupQuery(group10K);
+        var q = """
+        timed.update_by(ops=[avg_contains,max_before,prod_after,ema_tick_op,min_op,sum_op], by=['key1','key2'])
+        """;
+        runner.test("UpdateBy- 2 Groups 10K Unique Combos", 0, q, "key1", "key2", "num1", "num2", "timestamp");
+    }
+
+}
diff --git a/src/main/java/io/deephaven/benchmark/api/Bench.java b/src/main/java/io/deephaven/benchmark/api/Bench.java
index c5570512..f6225086 100644
--- a/src/main/java/io/deephaven/benchmark/api/Bench.java
+++ b/src/main/java/io/deephaven/benchmark/api/Bench.java
@@ -27,10 +27,6 @@ final public class Bench {
      * The root benchmark result directory
      */
     static final public Path rootOutputDir = Paths.get("results");
-    /**
-     * The root benchmark result directory
-     */
-    static final public Path tmpDir = createTmpDir();
 
     /**
      * The name of the benchmark results csv file
@@ -298,11 +294,4 @@ static private void setSystemProperties() {
         }
     }
 
-    static private Path createTmpDir() {
-        var f = Filer.createFile(System.getProperty("java.io.tmpdir") + "/bench", "test.delete.me");
-        Filer.putFileText(f, "test write and delete");
-        Filer.delete(f);
-        return f.getParent();
-    }
-
 }
diff --git a/src/main/java/io/deephaven/benchmark/api/BenchTable.java b/src/main/java/io/deephaven/benchmark/api/BenchTable.java
index 88ebf3e3..9a090d1b 100644
--- a/src/main/java/io/deephaven/benchmark/api/BenchTable.java
+++ b/src/main/java/io/deephaven/benchmark/api/BenchTable.java
@@ -1,4 +1,4 @@
-/* Copyright (c) 2022-2024 Deephaven Data Labs and Patent Pending */
+/* Copyright (c) 2022-2026 Deephaven Data Labs and Patent Pending */
 package io.deephaven.benchmark.api;
 
 import java.io.Closeable;
@@ -200,19 +200,20 @@ public boolean generateParquet() {
 
         var m = bench.awaitCompletion(generateWithAvro());
         Log.info("Produce Send Rate: %.2f recs/sec", m.getValue("send.rate"));
-        Log.info("Produce Data Duration: %d secs", timer.duration().toMillis());
+        Log.info("Produce Data Duration: %d secs", timer.duration().toSeconds());
         timer = Timer.start();
 
         q = replaceTableAndGeneratorFields(kafkaToParquetQuery);
         bench.query(q).execute();
 
-        Log.info("DH Write Table Duration: %d secs", timer.duration().toMillis());
+        Log.info("DH Write Table Duration: %d secs", timer.duration().toSeconds());
         return true;
     }
 
     /**
      * Generate the table synchronously to a parquet file in the engine's data directory. If a parquet file already
-     * exists in the Deephaven data directory that matches this table definition, use it and skip generation. <pr/>
+     * exists in the Deephaven data directory that matches this table definition, use it and skip generation.
+     * <p>
      * Note: This is the same as <code>generateParquet()</code> except it generates the parquet file directly to the
      * engine's data directory without going through kafka. As such, it will not work when the test runner and the
      * engine are not co-located.
@@ -244,12 +245,9 @@ public boolean generateLocalParquet() {
 
         var m = bench.awaitCompletion(generateWithLocalParquet(hostDataDir.get(), tableGenParquet.get()));
         Log.info("Produce Send Rate: %.2f recs/sec", m.getValue("send.rate"));
-        Log.info("Produce Data Duration: %d secs", timer.duration().toMillis());
-        timer = Timer.start();
+        Log.info("Produce Data Duration: %d secs", timer.duration().toSeconds());
 
         bench.query(localToParquetQuery).execute();
-
-        Log.info("DH Write Table Duration: %d secs", timer.duration().toMillis());
         return true;
     }
 
diff --git a/src/main/java/io/deephaven/benchmark/generator/ColumnDefs.java b/src/main/java/io/deephaven/benchmark/generator/ColumnDefs.java
index a2211eb4..70433815 100644
--- a/src/main/java/io/deephaven/benchmark/generator/ColumnDefs.java
+++ b/src/main/java/io/deephaven/benchmark/generator/ColumnDefs.java
@@ -12,7 +12,7 @@
  * Note: All possible data values are loaded up front to prevent object-creation during production. This can take a
  * considerable amount of memory for larger scales, especially for generated strings.
  */
-public class ColumnDefs {
+final public class ColumnDefs {
     final int valueCacheSize;
     final List<ColumnDef> columns = new ArrayList<>();
     private String defaultDistribution = "random";
diff --git a/src/main/java/io/deephaven/benchmark/generator/LocalParquetGenerator.java b/src/main/java/io/deephaven/benchmark/generator/LocalParquetGenerator.java
index 884e5d33..d57b70d2 100644
--- a/src/main/java/io/deephaven/benchmark/generator/LocalParquetGenerator.java
+++ b/src/main/java/io/deephaven/benchmark/generator/LocalParquetGenerator.java
@@ -1,4 +1,4 @@
-/* Copyright (c) 2022-2026 Deephaven Data Labs and Patent Pending */
+/* Copyright (c) 2026-2026 Deephaven Data Labs and Patent Pending */
 package io.deephaven.benchmark.generator;
 
 import java.nio.file.Path;
@@ -29,14 +29,13 @@ public class LocalParquetGenerator implements Generator {
     final private AtomicBoolean isClosed = new AtomicBoolean(false);
 
     /**
-     * Initialize with kafka server and schema registry locations, kafka topic, column definitions, and compression
-     * scheme
+     * Create a local Parquet generator with the provided column definitions and output file. The column definitions
+     * determine the schema of the Parquet file and the data generated for each column.
      * 
-     * @param bootstrapServers the kafka external location (ex. localhost:9092)
-     * @param schemaRegistryUrl the ReST schema registry location (ex. localhost:8081)
-     * @param topic the kafka topic to produce record to (ex. mytable)
-     * @param columnDefs the column definitions specifying what the data looks like
-     * @param compression one of Kafka's <code>ProducerConfig.COMPRESSION_TYPE_CONFIG</code> schemes
+     * @param parquetFile output Parquet file path
+     * @param topic topic name (used for logging and schema generation)
+     * @param columnDefs column definitions that determine the schema and generated data
+     * @param compression compression type for Parquet file (e.g. "SNAPPY", "GZIP", "UNCOMPRESSED")
      */
     public LocalParquetGenerator(String parquetFile, String topic, ColumnDefs columnDefs, String compression) {
         this.topic = topic;
@@ -60,10 +59,11 @@ public Future<Metrics> produce(int perRecordPauseMillis, long maxRecordCount, in
             public Metrics call() {
                 final long maxDuration = maxDurationSecs * 1000;
                 final long beginTime = System.currentTimeMillis();
+                final int columnDefsCount = columnDefs.getCount();
+                final var rec = new Row(schema, new ArrayList<>(columnDefs.getCount()));
                 long recCount = 0;
                 long duration = 0;
                 boolean isDone = false;
-                var rec = new Row(schema, new ArrayList<>(columnDefs.getCount()));
                 while (!isClosed.get() && !isDone) {
                     try {
                         if (recCount >= maxRecordCount) {
@@ -71,7 +71,7 @@ public Metrics call() {
                             continue;
                         }
                         // Build a record with the column defs for Parquet row write
-                        for (int i = 0, n = columnDefs.getCount(); i < n; i++) {
+                        for (int i = 0, n = columnDefsCount; i < n; i++) {
                             var v = columnDefs.nextValue(i, recCount, maxRecordCount);
                             rec.addValue(v);
                         }
@@ -151,7 +151,7 @@ private String getFieldType(String type) {
             case "double" -> "double";
             case "float" -> "float";
             case "string" -> "binary";
-            case "timestamp-millis" -> "google.protobuf.Timestamp";
+            case "timestamp-millis" -> "int64";
             default -> throw new RuntimeException("Unsupported generator data type: " + type);
         };
     }
@@ -159,6 +159,7 @@ private String getFieldType(String type) {
     private String getCharEncoding(String type) {
         return switch (type) {
             case "string" -> "(UTF8)";
+            case "timestamp-millis" -> "(TIMESTAMP(MILLIS,true))";
             default -> "";
         };
     }

From c552c01ae7190154dca661883f88d62dd5e4c10d Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Thu, 26 Mar 2026 15:32:16 -0600
Subject: [PATCH 06/73] Revert BasicMathCombo

---
 .../tests/standard/aggby/BasicMathComboTest.java          | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/src/it/java/io/deephaven/benchmark/tests/standard/aggby/BasicMathComboTest.java b/src/it/java/io/deephaven/benchmark/tests/standard/aggby/BasicMathComboTest.java
index b9176a31..a3cbc5da 100644
--- a/src/it/java/io/deephaven/benchmark/tests/standard/aggby/BasicMathComboTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/standard/aggby/BasicMathComboTest.java
@@ -12,7 +12,7 @@ public class BasicMathComboTest {
 
     @BeforeEach
     void setup() {
-        runner.setRowFactor(2);
+        runner.setRowFactor(3);
         runner.tables("source");
 
         var setupStr = """
@@ -28,19 +28,19 @@ void setup() {
 
     @Test
     void mathComboAggBy7Ops0Groups() {
-        runner.setScaleFactors(50, 25);
+        runner.setScaleFactors(20, 9);
         var q = "source.agg_by(aggs)";
         runner.test("MathCombo-AggBy- 7 Ops No Groups", 1, q, "num1", "num2");
     }
 
-    @Test @Disabled
+    @Test
     void mathComboAggBy7Ops1Group() {
         runner.setScaleFactors(9, 4);
         var q = "source.agg_by(aggs, by=['key1'])";
         runner.test("MathCombo-AggBy- 7 Ops 1 Group 100 Unique Vals ", 100, q, "key1", "num1", "num2");
     }
 
-    @Test @Disabled
+    @Test
     void mathComboAggBy7Ops2Groups() {
         runner.setScaleFactors(2, 1);
         var q = "source.agg_by(aggs, by=['key1', 'key2'])";

From 62aa96ae19bf0da17d654df964847885b6ea1910 Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Thu, 26 Mar 2026 15:33:15 -0600
Subject: [PATCH 07/73] Revert BasicMathCombo

---
 .../benchmark/tests/standard/aggby/BasicMathComboTest.java       | 1 -
 1 file changed, 1 deletion(-)

diff --git a/src/it/java/io/deephaven/benchmark/tests/standard/aggby/BasicMathComboTest.java b/src/it/java/io/deephaven/benchmark/tests/standard/aggby/BasicMathComboTest.java
index a3cbc5da..2614954e 100644
--- a/src/it/java/io/deephaven/benchmark/tests/standard/aggby/BasicMathComboTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/standard/aggby/BasicMathComboTest.java
@@ -49,7 +49,6 @@ void mathComboAggBy7Ops2Groups() {
 
     @Test
     void mathComboAggBy7Ops3Groups() {
-        runner.setScaleFactors(2, 1);
         var q = "source.agg_by(aggs, by=['key1', 'key2', 'key3'])";
         runner.test("MathCombo-AggBy- 7 Ops 3 Groups 100K Unique Combos ", 90900, q, "key1", "key2", "key3", "num1",
                 "num2");

From f78ca2287f878626cb2725794228b94da00eea8c Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Thu, 26 Mar 2026 15:38:16 -0600
Subject: [PATCH 08/73] Reverted scale and disabled for pre-train standard
 tests used for previous GC pass

---
 .../benchmark/tests/standard/join/NaturalJoinTest.java        | 2 +-
 .../benchmark/tests/standard/sort/SortComboTest.java          | 2 +-
 .../benchmark/tests/standard/updateby/RollingComboTest.java   | 4 ++--
 .../deephaven/benchmark/tests/standard/where/WhereTest.java   | 2 +-
 4 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/src/it/java/io/deephaven/benchmark/tests/standard/join/NaturalJoinTest.java b/src/it/java/io/deephaven/benchmark/tests/standard/join/NaturalJoinTest.java
index 7c7dd2df..fc8406be 100644
--- a/src/it/java/io/deephaven/benchmark/tests/standard/join/NaturalJoinTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/standard/join/NaturalJoinTest.java
@@ -23,7 +23,7 @@ void NaturalJoinOn1Col() {
         runner.test("NaturalJoin- Join On 1 Col", q, "key5", "num1");
     }
 
-    @Test @Disabled
+    @Test
     void NaturalJoinOn2Cols() {
         setup(6);
         var q = "source.natural_join(right, on=['key1 = r_wild', 'key2 = r_key2'])";
diff --git a/src/it/java/io/deephaven/benchmark/tests/standard/sort/SortComboTest.java b/src/it/java/io/deephaven/benchmark/tests/standard/sort/SortComboTest.java
index b444508f..f89b2eed 100644
--- a/src/it/java/io/deephaven/benchmark/tests/standard/sort/SortComboTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/standard/sort/SortComboTest.java
@@ -23,7 +23,7 @@ void sort2ColsAscendDescend() {
         runner.test("Sort- Both Directions 2 Cols", q, "key1", "key2", "num1");
     }
 
-    @Test @Disabled
+    @Test
     void sort3ColsAscendDescend() {
         var q = """
         source.sort(order_by=['key1', 'key2', 'key3'], order=[SortDirection.ASCENDING, SortDirection.DESCENDING,
diff --git a/src/it/java/io/deephaven/benchmark/tests/standard/updateby/RollingComboTest.java b/src/it/java/io/deephaven/benchmark/tests/standard/updateby/RollingComboTest.java
index 7d40f933..1516abb5 100644
--- a/src/it/java/io/deephaven/benchmark/tests/standard/updateby/RollingComboTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/standard/updateby/RollingComboTest.java
@@ -61,7 +61,7 @@ void rollingCombo0Groups6Ops() {
         runner.test("RollingCombo- No Groups 12 Cols", q, "num1", "num2", "timestamp");
     }
 
-    @Test  @Disabled
+    @Test
     void rollingCombo1Groups6Ops() {
         setup.factors(2, 1, 1);
         runner.addSetupQuery(group100);
@@ -71,7 +71,7 @@ void rollingCombo1Groups6Ops() {
         runner.test("RollingCombo- 1 Groups 100 Unique Vals", q, "key1", "num1", "num2", "timestamp");
     }
 
-    @Test @Disabled
+    @Test
     void rollingCombo2Groups6Ops() {
         setup.factors(1, 2, 1);
         runner.addSetupQuery(group10K);
diff --git a/src/it/java/io/deephaven/benchmark/tests/standard/where/WhereTest.java b/src/it/java/io/deephaven/benchmark/tests/standard/where/WhereTest.java
index 4a90e96f..02dd605a 100644
--- a/src/it/java/io/deephaven/benchmark/tests/standard/where/WhereTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/standard/where/WhereTest.java
@@ -26,7 +26,7 @@ void where1Filter() {
         runner.test("Where- 1 Filter", q, "key1", "num1");
     }
 
-    @Test @Disabled
+    @Test
     void where2Filters() {
         runner.setScaleFactors(310, 300);
         var q = """

From e5412e738ee5f01f49f26552005173b5793b3203 Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Mon, 30 Mar 2026 23:09:12 -0600
Subject: [PATCH 09/73] Parallelized local parquet. worked around directory
 link failures

---
 pom.xml                                       |  11 +-
 .../tests/standard/StandardTestRunner.java    |   6 +-
 .../benchmark/tests/train/AggByTrainTest.java |   4 +-
 .../tests/train/FilterTrainTest.java          |   9 +-
 .../tests/train/FormulaTrainTest.java         |   6 +-
 .../tests/train/NaturalJoinTrainTest.java     |   2 +-
 .../tests/train/OrderedTrainTest.java         |   1 -
 .../tests/train/TrainTestRunner.java          |   2 +-
 .../tests/train/UpdateByTrainTest.java        |   4 +-
 .../deephaven/benchmark/api/BenchTable.java   |  79 +++++++----
 .../io/deephaven/benchmark/api/Snippets.java  |  43 ++++++
 .../benchmark/generator/ColumnDefs.java       |  21 ++-
 .../generator/LocalParquetGenerator.java      | 133 ++++++++----------
 .../io/deephaven/benchmark/util/Filer.java    |  17 ++-
 .../deephaven/benchmark/util/FilerTest.java   |   9 +-
 .../benchmark/util/filerfolder/filer1.txt     |   1 +
 .../util/filerfolder/folder1/filer2.txt       |   1 +
 17 files changed, 214 insertions(+), 135 deletions(-)
 create mode 100644 src/test/resources/io/deephaven/benchmark/util/filerfolder/filer1.txt
 create mode 100644 src/test/resources/io/deephaven/benchmark/util/filerfolder/folder1/filer2.txt

diff --git a/pom.xml b/pom.xml
index c0c7c2dd..70a4bcfa 100644
--- a/pom.xml
+++ b/pom.xml
@@ -271,17 +271,16 @@
 			<artifactId>kafka-protobuf-serializer</artifactId>
 			<version>8.1.1</version>
 		</dependency>
-		<dependency>
-			<groupId>io.deephaven</groupId>
-			<artifactId>deephaven-java-client-barrage-dagger</artifactId>
-			<version>41.3</version>
-		</dependency>
-		<!-- Use the same parquet hadoop version is DHC -->
         <dependency>
             <groupId>blue.strategic.parquet</groupId>
             <artifactId>parquet-floor</artifactId>
             <version>1.64</version>
         </dependency>
+		<dependency>
+			<groupId>io.deephaven</groupId>
+			<artifactId>deephaven-java-client-barrage-dagger</artifactId>
+			<version>41.3</version>
+		</dependency>
 		<dependency>
 			<groupId>io.deephaven</groupId>
 			<artifactId>deephaven-log-to-slf4j</artifactId>
diff --git a/src/it/java/io/deephaven/benchmark/tests/standard/StandardTestRunner.java b/src/it/java/io/deephaven/benchmark/tests/standard/StandardTestRunner.java
index a36c5647..065482f1 100644
--- a/src/it/java/io/deephaven/benchmark/tests/standard/StandardTestRunner.java
+++ b/src/it/java/io/deephaven/benchmark/tests/standard/StandardTestRunner.java
@@ -232,7 +232,7 @@ String getReadOperation(int scaleFactor, long rowCount, String... loadColumns) {
         if (scaleFactor > 1 && mainTable.equals("timed") && Arrays.asList(loadColumns).contains("timestamp")) {
             var read = """
             merge([
-                read('/data/timed.parquet').view(formulas=[${loadColumns}])${headRows}
+                bench_api_read('/data/timed.parquet').view(formulas=[${loadColumns}])${headRows}
             ] * ${scaleFactor}).update_view([
                 'timestamp=timestamp.plusMillis((long)(ii / ${rows}) * ${rows})'
             ]).${selectStr}()
@@ -241,7 +241,7 @@ String getReadOperation(int scaleFactor, long rowCount, String... loadColumns) {
             return read.replace("${scaleFactor}", "" + scaleFactor).replace("${rows}", "" + rowCount);
         }
 
-        var read = "read('/data/${mainTable}.parquet')${headRows}.${selectStr}(formulas=[${loadColumns}])";
+        var read = "bench_api_read('/data/${mainTable}.parquet')${headRows}.${selectStr}(formulas=[${loadColumns}])";
         read = (loadColumns.length == 0) ? ("empty_table(${rows})") : read;
 
         if (scaleFactor > 1) {
@@ -379,7 +379,7 @@ String listStr(String... values) {
     }
 
     String loadSupportTables() {
-        return supportTables.stream().map(t -> t + " = read('/data/" + t + ".parquet').select()\n")
+        return supportTables.stream().map(t -> t + " = bench_api_read('/data/" + t + ".parquet').select()\n")
                 .collect(Collectors.joining(""));
     }
 
diff --git a/src/it/java/io/deephaven/benchmark/tests/train/AggByTrainTest.java b/src/it/java/io/deephaven/benchmark/tests/train/AggByTrainTest.java
index be031ebf..1095058d 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/AggByTrainTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/AggByTrainTest.java
@@ -26,14 +26,14 @@ void setup(double rowFactor) {
 
     @Test
     void aggBy0Groups() {
-        setup(40);
+        setup(120);
         var q = "timed.agg_by(aggs)";
         runner.test("AggBy- No Groups", 1, q, "num1", "num2");
     }
 
     @Test
     void aggBy2Groups() {
-        setup(20);
+        setup(21);
         var q = "timed.agg_by(aggs, by=['key1', 'key2'])";
         runner.test("AggBy- 2 Groups 10K Unique Combos ", 10100, q, "key1", "key2", "num1", "num2");
     }
diff --git a/src/it/java/io/deephaven/benchmark/tests/train/FilterTrainTest.java b/src/it/java/io/deephaven/benchmark/tests/train/FilterTrainTest.java
index 96636b25..a3396ee4 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/FilterTrainTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/FilterTrainTest.java
@@ -1,8 +1,7 @@
-/* Copyright (c) 2022-2024 Deephaven Data Labs and Patent Pending */
+/* Copyright (c) 2026-2026 Deephaven Data Labs and Patent Pending */
 package io.deephaven.benchmark.tests.train;
 
 import org.junit.jupiter.api.*;
-import io.deephaven.benchmark.tests.standard.StandardTestRunner;
 
 /**
  * Standard tests for the whereIn table operation. Filters rows of data from the source table where the rows match
@@ -27,14 +26,14 @@ void setup(double rowFactor) {
 
     @Test
     void filter1Col() {
-        setup(40);
+        setup(390);
         var q = "timed.where_in(where_filter, cols=['key1 = set1']).where(['key1 < `4`'])";
         runner.test("Filter- 1 Col", 0, q, "key1", "num1");
     }
-    
+
     @Test
     void filter3Cols() {
-        setup(40);
+        setup(390);
         var q = """
         timed.where_in(where_filter, cols=['key1 = set1', 'key2 = set2', 'key3 = set3']) \
             .where(filters=["key1 = '1'", "key2 < '100'", "key3 in -2, -1, 0, 1, 2"])
diff --git a/src/it/java/io/deephaven/benchmark/tests/train/FormulaTrainTest.java b/src/it/java/io/deephaven/benchmark/tests/train/FormulaTrainTest.java
index 00b263c6..6b0f11cb 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/FormulaTrainTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/FormulaTrainTest.java
@@ -16,7 +16,7 @@ void setup(double rowFactor) {
 
     @Test
     void formulaUdf() {
-        setup(5);
+        setup(4.8);
         var setup = """
         def f_py(num1: float, num2: float) -> float:
             return (num2 + num1) / 2
@@ -30,14 +30,14 @@ def f_np(num1: np.float64, num2: np.float64) -> np.float64:
 
     @Test
     void formulaInline() {
-        setup(40);
+        setup(220);
         var q = "timed.view(['New1 = (float)((num2 + num1) / 2)', 'New2 = (float)(num1 + num2)']).sum_by()";
         runner.test("Formula- Inline 2 Calcs", 1, q, "num1", "num2");
     }
     
     @Test
     void formulaDate() {
-        setup(1.75);
+        setup(1.8);
         var q = """
         timed.view([
             'New1 = parseDuration(`PT4H52M14S`).toHours()', 
diff --git a/src/it/java/io/deephaven/benchmark/tests/train/NaturalJoinTrainTest.java b/src/it/java/io/deephaven/benchmark/tests/train/NaturalJoinTrainTest.java
index b8d12107..34286996 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/NaturalJoinTrainTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/NaturalJoinTrainTest.java
@@ -16,7 +16,7 @@ void setup(double rowFactor) {
 
     @Test
     void naturalJoinOn1Col() {
-        setup(40);
+        setup(60);
         var r = "right = right.select_distinct(['r_wild'])";
         runner.addSetupQuery(r);
         var q = "timed.natural_join(right, on=['key1 = r_wild'])";
diff --git a/src/it/java/io/deephaven/benchmark/tests/train/OrderedTrainTest.java b/src/it/java/io/deephaven/benchmark/tests/train/OrderedTrainTest.java
index 7e27bb40..0a6978fe 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/OrderedTrainTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/OrderedTrainTest.java
@@ -2,7 +2,6 @@
 package io.deephaven.benchmark.tests.train;
 
 import org.junit.jupiter.api.*;
-import io.deephaven.benchmark.tests.standard.StandardTestRunner;
 
 /**
  * Training tests for the aggBy table operations that do ordering (e.g.. median, percentile, sorted_first/last). See
diff --git a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
index 38b3a4cf..593640c3 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
@@ -14,7 +14,7 @@
  * versions and GC types.
  */
 final public class TrainTestRunner {
-    static final int maxRowFactor = 40;
+    static final int maxRowFactor = 500;
     final StandardTestRunner delegate;
     final long baseRowCount;
 
diff --git a/src/it/java/io/deephaven/benchmark/tests/train/UpdateByTrainTest.java b/src/it/java/io/deephaven/benchmark/tests/train/UpdateByTrainTest.java
index 4af63515..9ed28657 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/UpdateByTrainTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/UpdateByTrainTest.java
@@ -34,7 +34,7 @@ void setup(double rowFactor) {
 
     @Test
     void mixedComboNoGroups() {
-        setup(10);
+        setup(9.8);
         runner.addSetupQuery(noGroups);
         var q = "timed.update_by(ops=[avg_contains, max_before, prod_after, ema_tick_op, min_op, sum_op])";
         runner.test("UpdateBy- No Groups 12 Cols", 0, q, "num1", "num2", "timestamp");
@@ -42,7 +42,7 @@ void mixedComboNoGroups() {
 
     @Test
     void rollingCombo2Groups() {
-        setup(3);
+        setup(2.8);
         runner.addSetupQuery(group10K);
         var q = """
         timed.update_by(ops=[avg_contains,max_before,prod_after,ema_tick_op,min_op,sum_op], by=['key1','key2'])
diff --git a/src/main/java/io/deephaven/benchmark/api/BenchTable.java b/src/main/java/io/deephaven/benchmark/api/BenchTable.java
index 9a090d1b..11ccd10e 100644
--- a/src/main/java/io/deephaven/benchmark/api/BenchTable.java
+++ b/src/main/java/io/deephaven/benchmark/api/BenchTable.java
@@ -4,15 +4,14 @@
 import java.io.Closeable;
 import java.time.Duration;
 import java.time.temporal.ChronoUnit;
+import java.util.ArrayList;
+import java.util.List;
 import java.util.concurrent.Future;
 import java.util.concurrent.atomic.AtomicBoolean;
 import java.util.concurrent.atomic.AtomicReference;
 import io.deephaven.benchmark.generator.*;
 import io.deephaven.benchmark.metric.Metrics;
-import io.deephaven.benchmark.util.Ids;
-import io.deephaven.benchmark.util.Log;
-import io.deephaven.benchmark.util.Numbers;
-import io.deephaven.benchmark.util.Timer;
+import io.deephaven.benchmark.util.*;
 
 /**
  * Represents the configuration of table name and columns.
@@ -25,7 +24,7 @@ final public class BenchTable implements Closeable {
     private int durationSecs = -1;
     private int rowPauseMillis = -1;
     private String compression = null;
-    private Generator generator = null;
+    private List<Generator> generators = new ArrayList<>();
     private boolean isFixed = false;
     private String defaultDistro = null;
     private String[] columnGrouping = null;
@@ -226,11 +225,11 @@ public boolean generateLocalParquet() {
 
         var usedExistingParquet = new AtomicBoolean(false);
         var tableGenParquet = new AtomicReference<String>("");
-        var hostDataDir = new AtomicReference<String>("");
+        var dhHostOsDir = new AtomicReference<String>("");
         bench.query(q).fetchAfter("used_existing_parquet_" + tableName, table -> {
             usedExistingParquet.set(table.getValue(0, "UsedExistingParquet").toString().equalsIgnoreCase("true"));
             tableGenParquet.set(table.getValue(0, "TableGenParquet").toString());
-            hostDataDir.set(table.getValue(0, "HostDataDir").toString());
+            dhHostOsDir.set(table.getValue(0, "DhHostOsDir").toString());
         }).execute();
 
         if (usedExistingParquet.get()) {
@@ -243,11 +242,26 @@ public boolean generateLocalParquet() {
         if (rowPauseMillis < 0)
             withRowPause(0, ChronoUnit.MILLIS);
 
-        var m = bench.awaitCompletion(generateWithLocalParquet(hostDataDir.get(), tableGenParquet.get()));
-        Log.info("Produce Send Rate: %.2f recs/sec", m.getValue("send.rate"));
-        Log.info("Produce Data Duration: %d secs", timer.duration().toSeconds());
+        if (dhHostOsDir.get().isEmpty())
+            throw new RuntimeException("DEEPHAVEN_HOST_OS_DIR env must be set to use local parquet generation");
+
+        var parquetPath = (dhHostOsDir.get() + "/" + tableGenParquet.get()).replace(".parquet", ".dataset");
+        var threadCount = Runtime.getRuntime().availableProcessors();
+        var rowsPerThread = getRowCount() / threadCount;
+        var futures = new ArrayList<Future<Metrics>>(threadCount);
+        for (int i = 0; i < threadCount; i++) {
+            long rows = (i < threadCount - 1) ? rowsPerThread : (getRowCount() - (rowsPerThread * i));
+            var future = generateWithLocalParquet(parquetPath, String.format("%04d.parquet", i), i, rows);
+            futures.add(future);
+        }
+        futures.stream().forEach(future -> bench.awaitCompletion(future));
+        close(); // Needed for the final parquet flushes
 
         bench.query(localToParquetQuery).execute();
+        var durMillis = timer.duration().toMillis();
+        Log.info("Produce Send Rate: %.2f recs/sec", getRowCount() / (durMillis / 1000.0));
+        Log.info("Produce Data Duration: %.2f secs", durMillis / 1000.0);
+        Log.info("Produce Write Rate: %.2f MB/sec", Filer.getByteSize(parquetPath) * 1000.0 / durMillis / 1024 / 1024);
         return true;
     }
 
@@ -255,37 +269,41 @@ public boolean generateLocalParquet() {
      * Shutdown and cleanup any running generator
      */
     public void close() {
-        if (generator != null)
+        for (Generator generator : generators)
             generator.close();
+        generators.clear();
     }
 
     private Future<Metrics> generateWithAvro() {
         String bootstrapServer = bench.property("client.redpanda.addr", "localhost:9092");
         String schemaRegistry = "http://" + bench.property("client.schema.registry.addr", "localhost:8081");
-        generator = new AvroKafkaGenerator(bootstrapServer, schemaRegistry, tableName, columns, getCompression());
-        return generator.produce(getRowPause(), getRowCount(), getRunDuration());
+        var gen = new AvroKafkaGenerator(bootstrapServer, schemaRegistry, tableName, columns, getCompression());
+        generators.add(gen);
+        return gen.produce(getRowPause(), getRowCount(), getRunDuration());
     }
 
     private Future<Metrics> generateWithJson() {
         String bootstrapServer = bench.property("client.redpanda.addr", "localhost:9092");
         String schemaRegistry = "http://" + bench.property("client.schema.registry.addr", "localhost:8081");
-        generator = new JsonKafkaGenerator(bootstrapServer, schemaRegistry, tableName, columns, getCompression());
-        return generator.produce(getRowPause(), getRowCount(), getRunDuration());
+        var gen = new JsonKafkaGenerator(bootstrapServer, schemaRegistry, tableName, columns, getCompression());
+        generators.add(gen);
+        return gen.produce(getRowPause(), getRowCount(), getRunDuration());
     }
 
     private Future<Metrics> generateWithProtobuf() {
         String bootstrapServer = bench.property("client.redpanda.addr", "localhost:9092");
         String schemaRegistry = "http://" + bench.property("client.schema.registry.addr", "localhost:8081");
-        generator = new ProtobufKafkaGenerator(bootstrapServer, schemaRegistry, tableName, columns, getCompression());
-        return generator.produce(getRowPause(), getRowCount(), getRunDuration());
+        var gen = new ProtobufKafkaGenerator(bootstrapServer, schemaRegistry, tableName, columns, getCompression());
+        generators.add(gen);
+        return gen.produce(getRowPause(), getRowCount(), getRunDuration());
     }
 
-    private Future<Metrics> generateWithLocalParquet(String hostDataDir, String tableGenParquet) {
-        if (hostDataDir.isEmpty())
-            throw new RuntimeException("HOST_DATA_DIR env must be set to use local parquet generation");
-        String parquetFile = hostDataDir + "/" + tableGenParquet.replaceAll("^/data/", "");
-        generator = new LocalParquetGenerator(parquetFile, tableName, columns, getCompression());
-        return generator.produce(getRowPause(), getRowCount(), getRunDuration());
+    private Future<Metrics> generateWithLocalParquet(String parquetPath, String parquetPart, long startRow,
+            long rowCount) {
+        var parquetFile = Filer.createFile(parquetPath, parquetPart).toString();
+        var gen = new LocalParquetGenerator(parquetFile, tableName, columns.copy(), startRow);
+        generators.add(gen);
+        return gen.produce(getRowPause(), rowCount, getRunDuration());
     }
 
     private int getRowPause() {
@@ -393,14 +411,17 @@ with open(path) as f:
 
         usedExisting = False
         matching_gen_parquet = findMatchingGenParquet(table_gen_def_text)
-        if matching_gen_parquet is not None and os.path.exists(str(matching_gen_parquet) + '.gen.parquet'):
-            os.link(str(matching_gen_parquet) + '.gen.parquet', table_parquet)
+        if matching_gen_parquet and os.path.exists(f"{matching_gen_parquet}.gen.parquet"):
+            bench_api_link(str(matching_gen_parquet) + '.gen.parquet', table_parquet)
+            usedExisting = True
+        if matching_gen_parquet and os.path.exists(f"{matching_gen_parquet}.gen.dataset"):
+            bench_api_link(str(matching_gen_parquet) + '.gen.dataset', table_parquet)
             usedExisting = True
 
         used_existing_parquet_${table.name} = new_table([
             string_col("UsedExistingParquet", [str(usedExisting)]),
             string_col("TableGenParquet", [table_gen_parquet]),
-            string_col("HostDataDir", [os.getenv("HOST_DATA_DIR","")])
+            string_col("DhHostOsDir", [os.getenv("DEEPHAVEN_HOST_OS_DIR","")])
         ])
         """;
 
@@ -434,7 +455,7 @@ with open(table_gen_def_file, 'w') as f:
         column_grouping=${column.grouping}
         if column_grouping: ${table.name} = ${table.name}.sort([${column.grouping}])
         write(${table.name}, table_gen_parquet ${compression.codec} ${max.dict.keys} ${max.dict.bytes} ${target.page.bytes})
-        os.link(table_gen_parquet, table_parquet)
+        bench_api_link(table_gen_parquet, table_parquet)
 
         del ${table.name}
 
@@ -443,7 +464,7 @@ with open(table_gen_def_file, 'w') as f:
         """;
 
     static final String localToParquetQuery = """
-        # Link an already created parquet file
+        # Link an already created parquet dataset directory
         import jpy, os
 
         if os.path.exists(table_parquet):
@@ -452,7 +473,7 @@ with open(table_gen_def_file, 'w') as f:
         with open(table_gen_def_file, 'w') as f:
             f.write(table_gen_def_text)
         
-        os.link(table_gen_parquet, table_parquet)
+        bench_api_link(table_gen_parquet.replace(".parquet", ".dataset"), table_parquet)
 
         from deephaven import garbage_collect
         garbage_collect()
diff --git a/src/main/java/io/deephaven/benchmark/api/Snippets.java b/src/main/java/io/deephaven/benchmark/api/Snippets.java
index 07ad6f5e..191b0c82 100644
--- a/src/main/java/io/deephaven/benchmark/api/Snippets.java
+++ b/src/main/java/io/deephaven/benchmark/api/Snippets.java
@@ -186,6 +186,47 @@ def bench_api_metrics_collect():
             return t
         """;
 
+    /**
+     * Make a file containing a one line reference to another file. Note: This is to get around the fact that
+     * Deephaven's parquet can't read from symbolic links that are directories.
+     * <p>
+     * ex. bench_api_link('my_parquet_dir_or_file', 'my_link_name')
+     * 
+     * @param target the table to link
+     * @param link_name the name to link the table to for retrieval
+     */
+    static String bench_api_link = """
+        import os, glob
+        def bench_api_link(target, link_name):
+            for f in glob.glob(link_name + '*'):
+                os.remove(f)
+            if target.endswith('.dataset'):
+                with open(link_name + '.link', 'w') as f:
+                    f.write(target)
+            else:
+                os.link(target, link_name)
+        """;
+
+    /**
+     * Read a parquet file or dataset into a Deephaven table. If the filename is a link (e.g. ".link") grab the file
+     * reference within it.
+     * <p>
+     * ex. source = bench_api_read('/data/timed.parquet')
+     * 
+     * @param file_name the name of the file containing the link reference
+     * @return a table containing the contents of the linked parquet file or dataset
+     */
+    static String bench_api_read = """
+        import os
+        from deephaven.parquet import read
+        def bench_api_read(file_name):
+            link_path = file_name + '.link'
+            if os.path.exists(link_path):
+                with open(link_path, 'r') as f:
+                    file_name = f.read().strip()
+            return read(file_name)
+        """;
+
     /**
      * Returns a query containing the api functions called by the query
      * 
@@ -206,6 +247,8 @@ static String getFunctions(String query) {
         defs += getFunc("bench_api_metrics_add", bench_api_metrics_add, query, defs);
         defs += getFunc("bench_api_metrics_collect", bench_api_metrics_collect, query, defs);
         defs += getFunc("bench_api_await_column_value_limit", bench_api_await_column_value_limit, query, defs);
+        defs += getFunc("bench_api_link", bench_api_link, query, defs);
+        defs += getFunc("bench_api_read", bench_api_read, query, defs);
         return defs;
     }
 
diff --git a/src/main/java/io/deephaven/benchmark/generator/ColumnDefs.java b/src/main/java/io/deephaven/benchmark/generator/ColumnDefs.java
index 70433815..8d57292f 100644
--- a/src/main/java/io/deephaven/benchmark/generator/ColumnDefs.java
+++ b/src/main/java/io/deephaven/benchmark/generator/ColumnDefs.java
@@ -1,4 +1,4 @@
-/* Copyright (c) 2022-2023 Deephaven Data Labs and Patent Pending */
+/* Copyright (c) 2022-2026 Deephaven Data Labs and Patent Pending */
 package io.deephaven.benchmark.generator;
 
 import java.util.*;
@@ -18,10 +18,10 @@ final public class ColumnDefs {
     private String defaultDistribution = "random";
 
     /**
-     * Initialize the instance with a default cache size of 1024
+     * Initialize the instance with a default cache size large enough to cover typical column value ranges
      */
     public ColumnDefs() {
-        this(1024);
+        this(2_000_000);
     }
 
     ColumnDefs(int valueCacheSize) {
@@ -105,6 +105,21 @@ public ColumnDefs add(String name, String type, String valueDef) {
         return add(name, type, valueDef, null);
     }
 
+    /**
+     * Create an independent copy of this column definitions instance. Each copy has its own Maker objects, value
+     * caches, and distribution functions, making it safe to use from a separate thread without contention.
+     * 
+     * @return a new independent ColumnDefs with the same column definitions
+     */
+    public ColumnDefs copy() {
+        var c = new ColumnDefs(valueCacheSize);
+        c.defaultDistribution = defaultDistribution;
+        for (ColumnDef col : columns) {
+            c.add(col.name(), col.type(), col.valueDef(), col.maker().distributionName);
+        }
+        return c;
+    }
+
     /**
      * Get the next value for the column in the given index according to the columns defined distribution.
      * 
diff --git a/src/main/java/io/deephaven/benchmark/generator/LocalParquetGenerator.java b/src/main/java/io/deephaven/benchmark/generator/LocalParquetGenerator.java
index d57b70d2..5a4b4793 100644
--- a/src/main/java/io/deephaven/benchmark/generator/LocalParquetGenerator.java
+++ b/src/main/java/io/deephaven/benchmark/generator/LocalParquetGenerator.java
@@ -1,17 +1,17 @@
 /* Copyright (c) 2026-2026 Deephaven Data Labs and Patent Pending */
 package io.deephaven.benchmark.generator;
 
-import java.nio.file.Path;
-import java.nio.file.Paths;
+import java.io.File;
+import java.io.IOException;
 import java.util.*;
 import java.util.concurrent.*;
 import java.util.concurrent.atomic.AtomicBoolean;
+import blue.strategic.parquet.*;
 import org.apache.parquet.schema.MessageType;
 import org.apache.parquet.schema.MessageTypeParser;
 import io.deephaven.benchmark.metric.Metrics;
 import io.deephaven.benchmark.util.Log;
 import io.deephaven.benchmark.util.Threads;
-import blue.strategic.parquet.*;
 
 /**
  * Generator that produces rows to a local Parquet file according to the provided column definitions.<pr/> Note: This
@@ -21,80 +21,77 @@
  */
 public class LocalParquetGenerator implements Generator {
     final private ExecutorService queue = Threads.single("LocalParquetGenerator");
-    final private Path parquetOut;
-    final private ParquetWriter<Row> writer;
     final private ColumnDefs columnDefs;
     final private String topic;
+    final private long startSeed;
     final private MessageType schema;
+    final private File parquetFile;
     final private AtomicBoolean isClosed = new AtomicBoolean(false);
+    private ParquetWriter<Object[]> writer;
 
     /**
      * Create a local Parquet generator with the provided column definitions and output file. The column definitions
      * determine the schema of the Parquet file and the data generated for each column.
-     * 
+     *
      * @param parquetFile output Parquet file path
      * @param topic topic name (used for logging and schema generation)
      * @param columnDefs column definitions that determine the schema and generated data
-     * @param compression compression type for Parquet file (e.g. "SNAPPY", "GZIP", "UNCOMPRESSED")
+     * @param startSeed starting seed for data generation
      */
-    public LocalParquetGenerator(String parquetFile, String topic, ColumnDefs columnDefs, String compression) {
+    public LocalParquetGenerator(String parquetFile, String topic, ColumnDefs columnDefs, long startSeed) {
         this.topic = topic;
         this.columnDefs = columnDefs;
+        this.startSeed = startSeed;
+        this.parquetFile = new File(parquetFile);
         this.schema = MessageTypeParser.parseMessageType(getSchemaMessage(topic, columnDefs));
-        this.parquetOut = Paths.get(parquetFile);
-        this.writer = createParquetWriter(schema, parquetOut);
+        try {
+            this.writer = ParquetWriter.writeFile(schema, this.parquetFile, createDehydrator());
+        } catch (IOException ex) {
+            throw new RuntimeException("Failed to create Parquet writer for topic: " + topic, ex);
+        }
     }
 
     /**
-     * Produce a maximum number of records to a Kafka topic asynchronously.
-     * 
+     * Produce a maximum number of records asynchronously.
+     *
      * @param perRecordPauseMillis wait time between each record sent
      * @param maxRecordCount maximum records to produce
-     * @param maxDurationSecs maximum duration to produce (May prevent maximum records from being produces)
+     * @param maxDurationSecs maximum duration to produce
      */
     public Future<Metrics> produce(int perRecordPauseMillis, long maxRecordCount, int maxDurationSecs) {
         checkClosed();
-        var r = new Callable<Metrics>() {
-            @Override
-            public Metrics call() {
-                final long maxDuration = maxDurationSecs * 1000;
-                final long beginTime = System.currentTimeMillis();
-                final int columnDefsCount = columnDefs.getCount();
-                final var rec = new Row(schema, new ArrayList<>(columnDefs.getCount()));
-                long recCount = 0;
-                long duration = 0;
-                boolean isDone = false;
-                while (!isClosed.get() && !isDone) {
-                    try {
-                        if (recCount >= maxRecordCount) {
-                            isDone = true;
-                            continue;
-                        }
-                        // Build a record with the column defs for Parquet row write
-                        for (int i = 0, n = columnDefsCount; i < n; i++) {
-                            var v = columnDefs.nextValue(i, recCount, maxRecordCount);
-                            rec.addValue(v);
-                        }
-                        // Write the record to Parquet file
-                        writer.write(rec);
-                        rec.clear();
-
-                        if (++recCount % 10_000_000 == 0)
-                            Log.info("Produced %s records to topic '%s'", recCount, topic);
-                        duration = System.currentTimeMillis() - beginTime;
-                        if (duration > maxDuration)
-                            isDone = true;
-                    } catch (Exception ex) {
-                        throw new RuntimeException("Failed to write to topic: " + topic, ex);
-                    }
+        return queue.submit(() -> {
+            final long maxDuration = maxDurationSecs * 1000L;
+            final long beginTime = System.currentTimeMillis();
+            final int colCount = columnDefs.getCount();
+
+            long recCount = startSeed;
+            long totalWritten = 0;
+            long duration = 0;
+            Object[] row = new Object[colCount];
+
+            while (!isClosed.get() && recCount < maxRecordCount) {
+                for (int i = 0; i < colCount; i++) {
+                    row[i] = columnDefs.nextValue(i, recCount, maxRecordCount);
                 }
-                Log.info("Produced %s records to topic: %s", recCount, topic);
-                var metrics = new Metrics("test-runner", "generate." + topic).set("duration.secs", duration / 1000.0)
-                        .set("record.count", recCount).set("send.rate", recCount / (duration / 1000.0));
-                return metrics;
+                writer.write(row);
+                recCount++;
+
+                if (++totalWritten % 10_000_000 == 0)
+                    Log.info("Produced %s records to topic '%s'", totalWritten, topic);
+
+                duration = System.currentTimeMillis() - beginTime;
+                if (duration > maxDuration)
+                    break;
             }
-        };
-        return queue.submit(r);
+
+            Log.info("Produced %s records to topic: %s", totalWritten, topic);
+            duration = System.currentTimeMillis() - beginTime;
+            return new Metrics("test-runner", "generate." + topic)
+                    .set("duration.secs", duration / 1000.0)
+                    .set("record.count", totalWritten)
+                    .set("send.rate", totalWritten / (duration / 1000.0));
+        });
     }
 
     /**
@@ -117,15 +114,13 @@ private void checkClosed() {
             throw new RuntimeException("Generator is closed");
     }
 
-    private ParquetWriter<Row> createParquetWriter(MessageType schema, Path parquetOut) {
-        try {
-            Dehydrator<Row> dehydrator = (row, valueWriter) -> {
-                row.write(valueWriter);
-            };
-            return ParquetWriter.writeFile(schema, parquetOut.toFile(), dehydrator);
-        } catch (Exception ex) {
-            throw new RuntimeException("Failed to create Parquet writer for topic: " + topic, ex);
-        }
+    private Dehydrator<Object[]> createDehydrator() {
+        final String[] colNames = columnDefs.toTypeMap().keySet().toArray(new String[0]);
+        return (row, valueWriter) -> {
+            for (int i = 0; i < colNames.length; i++) {
+                valueWriter.write(colNames[i], row[i]);
+            }
+        };
     }
 
     private String getSchemaMessage(String topic, ColumnDefs fieldDefs) {
@@ -164,20 +159,4 @@ private String getCharEncoding(String type) {
         };
     }
 
-    record Row(MessageType schema, List<Object> values) {
-        public void addValue(Object value) {
-            values.add(value);
-        }
-
-        public void write(ValueWriter valueWriter) {
-            for (int i = 0, n = values.size(); i < n; i++) {
-                valueWriter.write(schema.getFieldName(i), values.get(i));
-            }
-        }
-
-        public void clear() {
-            values.clear();
-        }
-    }
-
 }
diff --git a/src/main/java/io/deephaven/benchmark/util/Filer.java b/src/main/java/io/deephaven/benchmark/util/Filer.java
index b8d5bb4d..40c55583 100644
--- a/src/main/java/io/deephaven/benchmark/util/Filer.java
+++ b/src/main/java/io/deephaven/benchmark/util/Filer.java
@@ -1,4 +1,4 @@
-/* Copyright (c) 2022-2023 Deephaven Data Labs and Patent Pending */
+/* Copyright (c) 2022-2026 Deephaven Data Labs and Patent Pending */
 package io.deephaven.benchmark.util;
 
 import static java.nio.file.StandardOpenOption.*;
@@ -55,6 +55,21 @@ static public Path createFile(String parentDir, String fileName) {
         }
     }
 
+    /**
+     * Get the size of a file or directory in bytes. Directory sizes are calculated recursively by summing the sizes of
+     * all regular files contained within.
+     * 
+     * @param file the file or directory to get the size of
+     * @return the size of the file or directory in bytes
+     */
+    static public long getByteSize(String path) {
+        try {
+            return Files.walk(Paths.get(path)).filter(Files::isRegularFile).mapToLong(f -> f.toFile().length()).sum();
+        } catch (Exception ex) {
+            throw new RuntimeException("Failed to get size of file: " + path, ex);
+        }
+    }
+
     /**
      * Read the text of a file while preserving newlines and getting rid of carriage returns
      * 
diff --git a/src/test/java/io/deephaven/benchmark/util/FilerTest.java b/src/test/java/io/deephaven/benchmark/util/FilerTest.java
index 773cd46a..53442e79 100644
--- a/src/test/java/io/deephaven/benchmark/util/FilerTest.java
+++ b/src/test/java/io/deephaven/benchmark/util/FilerTest.java
@@ -1,4 +1,4 @@
-/* Copyright (c) 2022-2023 Deephaven Data Labs and Patent Pending */
+/* Copyright (c) 2022-2026 Deephaven Data Labs and Patent Pending */
 package io.deephaven.benchmark.util;
 
 import static org.junit.jupiter.api.Assertions.*;
@@ -48,4 +48,11 @@ public void getUrlText() throws Exception {
         assertEquals("One Two Three\nFour Five Six", Filer.getURLText(url), "Wrong file text");
     }
 
+    @Test
+    public void getByteSize() throws Exception {
+        var p = Paths.get(getClass().getResource("filerfolder").toURI()).toFile().toString();
+        assertEquals(46, Filer.getByteSize(p), "Wrong byte size");
+        p = Paths.get(getClass().getResource("filertest.txt").toURI()).toFile().toString();
+        assertEquals(27, Filer.getByteSize(p), "Wrong byte size");
+    }
 }
diff --git a/src/test/resources/io/deephaven/benchmark/util/filerfolder/filer1.txt b/src/test/resources/io/deephaven/benchmark/util/filerfolder/filer1.txt
new file mode 100644
index 00000000..9f40cf63
--- /dev/null
+++ b/src/test/resources/io/deephaven/benchmark/util/filerfolder/filer1.txt
@@ -0,0 +1 @@
+This file has bytes
\ No newline at end of file
diff --git a/src/test/resources/io/deephaven/benchmark/util/filerfolder/folder1/filer2.txt b/src/test/resources/io/deephaven/benchmark/util/filerfolder/folder1/filer2.txt
new file mode 100644
index 00000000..58da37b3
--- /dev/null
+++ b/src/test/resources/io/deephaven/benchmark/util/filerfolder/folder1/filer2.txt
@@ -0,0 +1 @@
+This file has bytes as well
\ No newline at end of file

From ff4d891151e01a7d06dcaf0a87206648b7d74457 Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Wed, 1 Apr 2026 17:49:49 -0600
Subject: [PATCH 10/73] Added 1st pass at benchmark even retrieval with JFR

---
 .../tests/compare/CompareTestRunner.java      |  3 +
 .../tests/standard/StandardTestRunner.java    | 29 ++++++-
 .../tests/standard/file/FileTestRunner.java   |  3 +
 .../tests/standard/kafka/KafkaTestRunner.java |  3 +
 .../benchmark/tests/train/AggByTrainTest.java |  1 +
 .../tests/train/TrainTestRunner.java          | 61 +++++++++++++-
 .../io/deephaven/benchmark/api/Bench.java     | 48 +++++++----
 .../deephaven/benchmark/api/BenchEvents.java  | 84 +++++++++++++++++++
 .../io/deephaven/benchmark/api/BenchLog.java  |  2 +-
 .../io/deephaven/benchmark/api/QueryLog.java  | 18 +---
 .../io/deephaven/benchmark/api/Snippets.java  |  9 +-
 .../generator/LocalParquetGenerator.java      |  2 +-
 .../io/deephaven/benchmark/util/Filer.java    | 21 ++++-
 .../deephaven/benchmark/api/QueryLogTest.java | 16 ++--
 14 files changed, 248 insertions(+), 52 deletions(-)
 create mode 100644 src/main/java/io/deephaven/benchmark/api/BenchEvents.java

diff --git a/src/it/java/io/deephaven/benchmark/tests/compare/CompareTestRunner.java b/src/it/java/io/deephaven/benchmark/tests/compare/CompareTestRunner.java
index 755633f7..b7b31fe4 100644
--- a/src/it/java/io/deephaven/benchmark/tests/compare/CompareTestRunner.java
+++ b/src/it/java/io/deephaven/benchmark/tests/compare/CompareTestRunner.java
@@ -28,6 +28,9 @@
  * practical purposes, though it is not ideal.
  */
 public class CompareTestRunner {
+    static {
+        System.setProperty("root.test.package", "io.deephaven.benchmark.tests");
+    }
     final Object testInst;
     final Set<String> requiredPackages = new LinkedHashSet<>();
     final Map<String, String> downloadFiles = new LinkedHashMap<>();
diff --git a/src/it/java/io/deephaven/benchmark/tests/standard/StandardTestRunner.java b/src/it/java/io/deephaven/benchmark/tests/standard/StandardTestRunner.java
index 065482f1..9d4b23ae 100644
--- a/src/it/java/io/deephaven/benchmark/tests/standard/StandardTestRunner.java
+++ b/src/it/java/io/deephaven/benchmark/tests/standard/StandardTestRunner.java
@@ -21,10 +21,14 @@
  * conventions are followed (ex. main file is "source")
  */
 final public class StandardTestRunner {
+    static {
+        System.setProperty("root.test.package", "io.deephaven.benchmark.tests");
+    }
     final Object testInst;
     final List<String> supportTables = new ArrayList<>();
     final List<String> setupQueries = new ArrayList<>();
     final List<String> preOpQueries = new ArrayList<>();
+    final List<String> teardownQueries = new ArrayList<>();
     final Set<String> requiredServices = new TreeSet<>(List.of("deephaven"));
     private String mainTable = "source";
     private Bench api;
@@ -138,6 +142,16 @@ public void addPreOpQuery(String query) {
         preOpQueries.add(query);
     }
 
+    /**
+     * Add a query to be run after everything else is done. This is useful for teardown of any resources after the test
+     * is run like logging, temporary files, perf table retrieval, etc.
+     * 
+     * @param query the query to run after the measured operation
+     */
+    public void addTeardownQuery(String query) {
+        teardownQueries.add(query);
+    }
+
     /**
      * The {@code scale.row.count} property supplies a default for the number of rows generated for benchmark tests.
      * Given that some operations use less memory than others, scaling up the generated rows per operation is more
@@ -264,9 +278,11 @@ String getStaticQuery(String name, String operation, long rowCount, String... lo
         bench_api_metrics_start()
         print('${logOperationBegin}')
 
+        begin_clock = time.time_ns()
         begin_time = time.perf_counter_ns()
         result = ${operation}
         end_time = time.perf_counter_ns()
+        end_clock = time.time_ns()
         
         print('${logOperationEnd}')
         bench_api_metrics_end()
@@ -276,7 +292,10 @@ String getStaticQuery(String name, String operation, long rowCount, String... lo
             double_col("elapsed_nanos", [end_time - begin_time]),
             long_col("processed_row_count", [loaded_tbl_size]),
             long_col("result_row_count", [result.size]),
+            long_col("begin_clock_nanos", [begin_clock]),
+            long_col("end_clock_nanos", [end_clock]),
         ])
+        ${teardownQueries}
         """;
         var read = getReadOperation(staticFactor, rowCount, loadColumns);
         return populateQuery(name, staticQuery, operation, read, loadColumns);
@@ -301,6 +320,7 @@ String getIncQuery(String name, String operation, long rowCount, String... loadC
         ${preOpQueries}
         bench_api_metrics_start()
         print('${logOperationBegin}')
+        begin_clock = time.time_ns()
         begin_time = time.perf_counter_ns()
         result = ${operation}
         
@@ -314,6 +334,7 @@ String getIncQuery(String name, String operation, long rowCount, String... loadC
         source_filter.waitForCompletion()
         
         end_time = time.perf_counter_ns()
+        end_clock = time.time_ns()
         print('${logOperationEnd}')
         bench_api_metrics_end()
         standard_metrics = bench_api_metrics_collect()
@@ -321,8 +342,11 @@ String getIncQuery(String name, String operation, long rowCount, String... loadC
         stats = new_table([
             double_col("elapsed_nanos", [end_time - begin_time]),
             long_col("processed_row_count", [loaded_tbl_size]),
-            long_col("result_row_count", [result.size])
+            long_col("result_row_count", [result.size]),
+            long_col("begin_clock_nanos", [begin_clock]),
+            long_col("end_clock_nanos", [end_clock]),
         ])
+        ${teardownQueries}
         """;
         var read = getReadOperation(incFactor, rowCount, loadColumns);
         return populateQuery(name, incQuery, operation, read, loadColumns);
@@ -336,6 +360,7 @@ String populateQuery(String name, String query, String operation, String read, S
         query = query.replace("${setupQueries}", String.join("\n", setupQueries));
         query = query.replace("${preOpQueries}", String.join("\n", preOpQueries));
         query = query.replace("${operation}", operation);
+        query = query.replace("${teardownQueries}", String.join("\n", teardownQueries));
         query = query.replace("${logOperationBegin}", getLogSnippet("Begin", name));
         query = query.replace("${logOperationEnd}", getLogSnippet("End", name));
         return query;
@@ -365,6 +390,8 @@ Result runTest(String name, String warmupQuery, String mainQuery) {
                 metrics.set("inc.factor", incFactor);
                 metrics.set("row.factor", rowCountFactor);
                 api.metrics().add(metrics);
+            }).fetchAfter("standard_events", table -> {
+                api.events().add(table);
             }).execute();
             api.result().test("deephaven-engine", result.get().elapsedTime(), result.get().loadedRowCount());
             return result.get();
diff --git a/src/it/java/io/deephaven/benchmark/tests/standard/file/FileTestRunner.java b/src/it/java/io/deephaven/benchmark/tests/standard/file/FileTestRunner.java
index 5fadc8ba..4126feac 100644
--- a/src/it/java/io/deephaven/benchmark/tests/standard/file/FileTestRunner.java
+++ b/src/it/java/io/deephaven/benchmark/tests/standard/file/FileTestRunner.java
@@ -14,6 +14,9 @@
  * Test reading and writing parquet files with various data types and compression codecs.
  */
 class FileTestRunner {
+    static {
+        System.setProperty("root.test.package", "io.deephaven.benchmark.tests");
+    }
     final String parquetCfg = "max_dictionary_keys=1048576, max_dictionary_size=1048576, target_page_size=65536";
     final Object testInst;
     final Set<String> requiredServices = new TreeSet<>(List.of("deephaven"));
diff --git a/src/it/java/io/deephaven/benchmark/tests/standard/kafka/KafkaTestRunner.java b/src/it/java/io/deephaven/benchmark/tests/standard/kafka/KafkaTestRunner.java
index d65014d8..c919f852 100644
--- a/src/it/java/io/deephaven/benchmark/tests/standard/kafka/KafkaTestRunner.java
+++ b/src/it/java/io/deephaven/benchmark/tests/standard/kafka/KafkaTestRunner.java
@@ -19,6 +19,9 @@
  * append/blink table types. Results are checked to ensure the correct number of rows has been processed.
  */
 class KafkaTestRunner {
+    static {
+        System.setProperty("root.test.package", "io.deephaven.benchmark.tests");
+    }
     final Object testInst;
     final Bench api;
     final Controller controller;
diff --git a/src/it/java/io/deephaven/benchmark/tests/train/AggByTrainTest.java b/src/it/java/io/deephaven/benchmark/tests/train/AggByTrainTest.java
index 1095058d..22162021 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/AggByTrainTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/AggByTrainTest.java
@@ -25,6 +25,7 @@ void setup(double rowFactor) {
     }
 
     @Test
+    @Disabled
     void aggBy0Groups() {
         setup(120);
         var q = "timed.agg_by(aggs)";
diff --git a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
index 593640c3..054112f6 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
@@ -1,7 +1,6 @@
 /* Copyright (c) 2026-2026 Deephaven Data Labs and Patent Pending */
 package io.deephaven.benchmark.tests.train;
 
-import java.util.Arrays;
 import io.deephaven.benchmark.tests.standard.StandardTestRunner;
 
 /**
@@ -14,7 +13,7 @@
  * versions and GC types.
  */
 final public class TrainTestRunner {
-    static final int maxRowFactor = 500;
+    static final int maxRowFactor = 400;
     final StandardTestRunner delegate;
     final long baseRowCount;
 
@@ -39,7 +38,63 @@ public void addSetupQuery(String query) {
     }
 
     public void test(String name, long maxExpectedRowCount, String operation, String... loadColumns) {
+        delegate.addSetupQuery(startJfrQuery);
+        delegate.addTeardownQuery(stopJfrQuery);
+        delegate.addTeardownQuery(ugpQuery);
         delegate.test(name, maxExpectedRowCount, operation, loadColumns);
     }
+    
+    static final String startJfrQuery = """
+        import jpy
+        Recording = jpy.get_type("jdk.jfr.Recording")
+        rec = Recording()
+        rec.setName("benchmark")
+        rec.start()
+        """;
+    
+    static final String stopJfrQuery = """
+        Paths = jpy.get_type("java.nio.file.Paths")
+        RecordingFile = jpy.get_type("jdk.jfr.consumer.RecordingFile")
+        rec.dump(Paths.get("/data/benchmark.jfr"))
+        rec.stop()
+        rec.close()
+        events = RecordingFile.readAllEvents(Paths.get("/data/benchmark.jfr"))
 
-}
+        # Log each event's fields to the console for inspection
+        print("=== JFR event dump begin ===")
+        for i in range(events.size()):
+            e = events.get(i)
+            etype = e.getEventType()
+            print(f"Event {i}: type={etype.getName()}")
+            fields = e.getFields()
+            for idx in range(fields.size()):
+                fd = fields.get(idx)
+                fname = fd.getName()
+                fval = e.getValue(fname)
+                print(f"  {fname} = {fval}")
+            print("--")
+        print("=== JFR event dump end ===")
+
+        jfr_rows = []
+        for i in range(events.size()):
+            e = events.get(i)
+            start = e.getStartTime().getEpochSecond() * 1000000000 + e.getStartTime().getNano()
+            dur = e.getDuration().getSeconds() * 1000000000 + e.getDuration().getNano()
+            jfr_rows.append([str(e.getEventType().getName()), start, dur, str(e)])
+        jfr = new_table([
+            string_col("origin", ["jfr" for r in jfr_rows]),
+            string_col("type", [r[0] for r in jfr_rows]),
+            long_col("start_ns", [r[1] for r in jfr_rows]),
+            long_col("duration_ns", [r[2] for r in jfr_rows]),
+            string_col("detail", [r[3] for r in jfr_rows]),
+        ])
+        standard_events = merge([standard_events, jfr])
+        """;
+    
+    static final String ugpQuery = """
+        from deephaven import write_csv
+        import deephaven.perfmon as pm
+        ugp = pm.update_performance_log()
+        write_csv(ugp, "/data/ugp_cycles.csv")
+        """;
+}
\ No newline at end of file
diff --git a/src/main/java/io/deephaven/benchmark/api/Bench.java b/src/main/java/io/deephaven/benchmark/api/Bench.java
index f6225086..1d3e5ab6 100644
--- a/src/main/java/io/deephaven/benchmark/api/Bench.java
+++ b/src/main/java/io/deephaven/benchmark/api/Bench.java
@@ -1,8 +1,7 @@
-/* Copyright (c) 2022-2025 Deephaven Data Labs and Patent Pending */
+/* Copyright (c) 2022-2026 Deephaven Data Labs and Patent Pending */
 package io.deephaven.benchmark.api;
 
 import java.io.Closeable;
-import java.nio.file.Files;
 import java.nio.file.Path;
 import java.nio.file.Paths;
 import java.time.Duration;
@@ -11,9 +10,7 @@
 import java.util.concurrent.Future;
 import java.util.concurrent.TimeUnit;
 import io.deephaven.benchmark.metric.Metrics;
-import io.deephaven.benchmark.util.Filer;
-import io.deephaven.benchmark.util.Ids;
-import io.deephaven.benchmark.util.Timer;
+import io.deephaven.benchmark.util.*;
 
 /**
  * The root accessor class for the API. Use <code>Bench.create(this)</code> in a typical JUnit test to start things off
@@ -36,6 +33,10 @@ final public class Bench {
      * The name of the benchmark metrics csv file
      */
     static final public String metricsFileName = "benchmark-metrics.csv";
+    /**
+     * The name of the benchmark events csv file
+     */
+    static final public String eventsFileName = "benchmark-events.csv";
     /**
      * The name of the benchmark platform csv file
      */
@@ -62,9 +63,9 @@ static public Bench create(Object testInst) {
         return v;
     }
 
-    final Object testInst;
     final BenchResult result;
     final BenchMetrics metrics;
+    final BenchEvents events;
     final BenchPlatform platform;
     final QueryLog queryLog;
     final BenchLog runLog;
@@ -73,13 +74,13 @@ static public Bench create(Object testInst) {
     final Session session = new Session();
     private boolean isClosed = false;
 
-    Bench(Class<?> testInst) {
-        this.testInst = testInst;
+    Bench(Class<?> testClass) {
         this.result = new BenchResult(outputDir);
         this.metrics = new BenchMetrics(outputDir);
+        this.events = new BenchEvents(outputDir);
         this.platform = new BenchPlatform(this, outputDir);
-        this.queryLog = new QueryLog(outputDir, testInst);
-        this.runLog = new BenchLog(outputDir, testInst);
+        this.queryLog = new QueryLog(getLogDir(testClass), testClass);
+        this.runLog = new BenchLog(getLogDir(testClass), testClass);
     }
 
     /**
@@ -92,6 +93,7 @@ public void setName(String name) {
             throw new RuntimeException("No blank Benchmark names allowed");
         this.result.setName(name);
         this.metrics.setName(name);
+        this.events.setName(name);
         this.queryLog.setName(name);
         this.runLog.setName(name);
     }
@@ -200,6 +202,15 @@ public BenchMetrics metrics() {
         return metrics;
     }
 
+    /**
+     * Get the events for this Benchmark instance (e.g. test) used for collecting event values
+     * 
+     * @return the events instance
+     */
+    public BenchEvents events() {
+        return events;
+    }
+
     /**
      * Get the platform for this Benchmark instance (e.g. test) used for collecting platform properties
      * 
@@ -210,9 +221,9 @@ public BenchPlatform platform() {
     }
 
     /**
-     * Get the metrics for this Benchmark instance (e.g. test) used for collecting metric values
+     * Get the query log for this Benchmark instance (e.g. test) used for recording queries
      * 
-     * @return the metrics instance
+     * @return the query log instance
      */
     public BenchLog log() {
         return runLog;
@@ -244,6 +255,7 @@ public void close() {
         closeables.clear();
         result.commit();
         metrics.commit();
+        events.commit();
         platform.commit();
         runLog.close();
         queryLog.close();
@@ -271,6 +283,12 @@ <T extends Future<Metrics>> T addFuture(T future) {
         return future;
     }
 
+    static private Path getLogDir(Class<?> testClass) {
+        var pkgRoot = profile.property("root.test.package", Bench.class.getPackageName().replaceAll("[.][^.]+$", ""));
+        var name = testClass.getPackageName().replaceAll(pkgRoot + '.', "") + '.' + testClass.getSimpleName();
+        return Filer.createDirectory(outputDir.resolve("test-logs").resolve(name).toString());
+    }
+
     static private Path initializeOutputDirectory() {
         setSystemProperties();
         boolean isTimestamped = profile.propertyAsBoolean("timestamp.test.results", "false");
@@ -278,11 +296,7 @@ static private Path initializeOutputDirectory() {
         if (isTimestamped)
             dir = dir.resolve(Ids.runId());
         Filer.delete(dir);
-        try {
-            return Files.createDirectories(dir);
-        } catch (Exception ex) {
-            throw new RuntimeException("Failed initialize benchmark result directory: " + dir, ex);
-        }
+        return Filer.createDirectory(dir.toString());
     }
 
     static private void setSystemProperties() {
diff --git a/src/main/java/io/deephaven/benchmark/api/BenchEvents.java b/src/main/java/io/deephaven/benchmark/api/BenchEvents.java
new file mode 100644
index 00000000..f3d715f0
--- /dev/null
+++ b/src/main/java/io/deephaven/benchmark/api/BenchEvents.java
@@ -0,0 +1,84 @@
+/* Copyright (c) 2026-2026 Deephaven Data Labs and Patent Pending */
+package io.deephaven.benchmark.api;
+
+import java.io.BufferedWriter;
+import java.nio.file.Files;
+import java.nio.file.Path;
+import java.nio.file.StandardOpenOption;
+import java.util.*;
+import io.deephaven.benchmark.connect.ResultTable;
+
+/**
+ * Represents the events gathered during usage of the Bench API. These can include events gather by the API or the user.
+ */
+final public class BenchEvents {
+    static final String header = "benchmark_name,origin,type,start,duration,detail";
+    final List<Event> events = new ArrayList<>();
+    final Path file;
+    private String name = null;
+
+    BenchEvents(Path parent) {
+        this(parent, Bench.eventsFileName);
+    }
+
+    BenchEvents(Path parent, String resultFileName) {
+        this.file = parent.resolve(resultFileName);
+    }
+
+    /**
+     * Add the results from a table as events to persist to the file system. This table must have columns defined as
+     * <code>origin, type, start_ns, duration_ns, detail</code>
+     * 
+     * @param table a table containing events
+     * @return this instance
+     */
+    public BenchEvents add(ResultTable table) {
+        for (int r = 0, rn = table.getRowCount(); r < rn; r++) {
+            var origin = table.getValue(r, "origin").toString();
+            var type = table.getValue(r, "type").toString();
+            var startNanos = table.getNumber(r, "start_ns").longValue();
+            var durationNanos = table.getNumber(r, "duration_ns").longValue();
+            var details = table.getValue(r, "detail").toString();
+            var event = new Event(origin, type, startNanos, durationNanos, details);
+            events.add(event);
+        }
+        return this;
+    }
+
+    /**
+     * Save the collected events to a csv file.
+     */
+    public void commit() {
+        if (!hasHeader())
+            writeLine(header, file);
+
+        for (Event event : events) {
+            var line = name + ',' + event.toCsv();
+            writeLine(line, file);
+        }
+    }
+
+    void setName(String name) {
+        this.name = name;
+    }
+
+    private boolean hasHeader() {
+        return Files.exists(file);
+    }
+
+    static void writeLine(String line, Path file) {
+        try (BufferedWriter out = Files.newBufferedWriter(file, StandardOpenOption.CREATE, StandardOpenOption.APPEND)) {
+            out.write(line);
+            out.newLine();
+        } catch (Exception ex) {
+            throw new RuntimeException("Failed to write result to file: " + file, ex);
+        }
+    }
+
+    record Event(String origin, String type, long startNanos, long durationNanos, String detail) {
+        String toCsv() {
+            return origin + "," + type + "," + startNanos + "," + durationNanos + "," + detail;
+        }
+    }
+
+}
\ No newline at end of file
diff --git a/src/main/java/io/deephaven/benchmark/api/BenchLog.java b/src/main/java/io/deephaven/benchmark/api/BenchLog.java
index 3f4de79b..68416595 100644
--- a/src/main/java/io/deephaven/benchmark/api/BenchLog.java
+++ b/src/main/java/io/deephaven/benchmark/api/BenchLog.java
@@ -26,7 +26,7 @@ final public class BenchLog {
     BenchLog(Path parent, Class<?> testClass) {
         this.testClass = testClass;
         this.parent = parent;
-        this.logFile = getLogFile(parent, testClass);
+        this.logFile = parent.resolve("engine.log");
     }
 
     /**
diff --git a/src/main/java/io/deephaven/benchmark/api/QueryLog.java b/src/main/java/io/deephaven/benchmark/api/QueryLog.java
index b14b615e..bf307893 100644
--- a/src/main/java/io/deephaven/benchmark/api/QueryLog.java
+++ b/src/main/java/io/deephaven/benchmark/api/QueryLog.java
@@ -1,4 +1,4 @@
-/* Copyright (c) 2022-2023 Deephaven Data Labs and Patent Pending */
+/* Copyright (c) 2022-2026 Deephaven Data Labs and Patent Pending */
 package io.deephaven.benchmark.api;
 
 import static java.nio.file.StandardOpenOption.*;
@@ -30,7 +30,7 @@ class QueryLog implements Closeable {
     QueryLog(Path parent, Class<?> testClass) {
         this.testClass = testClass;
         this.parent = parent;
-        this.logFile = getLogFile(parent, testClass);
+        this.logFile = parent.resolve("query.md");
     }
 
     /**
@@ -51,9 +51,9 @@ public void close() {
         write("## " + label + " - " + name, 2);
         for (int i = 0, n = queries.size(); i < n; i++) {
             write("### Query " + (i + 1), 1);
-            write("````", 1);
+            write("```", 1);
             write(queries.get(i), 0);
-            write("````", 2);
+            write("```", 2);
         }
     }
 
@@ -93,14 +93,4 @@ private void write(String text, int newLineCount) {
         }
     }
 
-    static Path getLogFile(Path parent, Class<?> testClass) {
-        Path logFile = parent.resolve("test-logs/" + testClass.getName() + ".query.md");
-        try {
-            Files.createDirectories(logFile.getParent());
-            return logFile;
-        } catch (Exception ex) {
-            throw new RuntimeException("Failed to create query log directory" + logFile.getParent(), ex);
-        }
-    }
-
 }
diff --git a/src/main/java/io/deephaven/benchmark/api/Snippets.java b/src/main/java/io/deephaven/benchmark/api/Snippets.java
index 191b0c82..86bded74 100644
--- a/src/main/java/io/deephaven/benchmark/api/Snippets.java
+++ b/src/main/java/io/deephaven/benchmark/api/Snippets.java
@@ -1,4 +1,4 @@
-/* Copyright (c) 2022-2024 Deephaven Data Labs and Patent Pending */
+/* Copyright (c) 2022-2026 Deephaven Data Labs and Patent Pending */
 package io.deephaven.benchmark.api;
 
 /**
@@ -75,7 +75,7 @@ with exclusive_lock(table):
 
     /**
      * Initialize the container for storing benchmark metrics. Define functions for getting some MX Bean data for gc,
-     * jit and heap
+     * jit and heap.
      * <p>
      * ex. bench_api_metrics_init()
      */
@@ -184,6 +184,9 @@ def bench_api_metrics_collect():
                     'name=``+m[3]','value=``+m[4]','note=``+m[5]'])    
                 t.add(m1)
             return t
+            
+        standard_events = new_table([ string_col("origin",[]), string_col("type",[]), long_col("start_ns",[]), 
+            long_col("duration_ns",[]), string_col("detail",[])])
         """;
 
     /**
@@ -258,4 +261,4 @@ static String getFunc(String functionName, String functionDef, String query, Str
         return functionDef + System.lineSeparator();
     }
 
-}
+}
\ No newline at end of file
diff --git a/src/main/java/io/deephaven/benchmark/generator/LocalParquetGenerator.java b/src/main/java/io/deephaven/benchmark/generator/LocalParquetGenerator.java
index 5a4b4793..692e6fd8 100644
--- a/src/main/java/io/deephaven/benchmark/generator/LocalParquetGenerator.java
+++ b/src/main/java/io/deephaven/benchmark/generator/LocalParquetGenerator.java
@@ -78,7 +78,7 @@ public Future<Metrics> produce(int perRecordPauseMillis, long maxRecordCount, in
                 recCount++;
 
                 if (++totalWritten % 10_000_000 == 0)
-                    Log.info("Produced %s records to topic '%s'", totalWritten, topic);
+                    Log.info("Produced %s records to topic: %s", totalWritten, topic);
 
                 duration = System.currentTimeMillis() - beginTime;
                 if (duration > maxDuration)
diff --git a/src/main/java/io/deephaven/benchmark/util/Filer.java b/src/main/java/io/deephaven/benchmark/util/Filer.java
index 40c55583..30010640 100644
--- a/src/main/java/io/deephaven/benchmark/util/Filer.java
+++ b/src/main/java/io/deephaven/benchmark/util/Filer.java
@@ -46,12 +46,25 @@ static public void delete(Path path) {
      */
     static public Path createFile(String parentDir, String fileName) {
         try {
-            var d = Files.createDirectories(Paths.get(parentDir), PosixFilePermissions.asFileAttribute(
-                    PosixFilePermissions.fromString("rwxr-xr-x")));
-            return Files.createFile(d.resolve(fileName),
+            return Files.createFile(createDirectory(parentDir).resolve(fileName),
                     PosixFilePermissions.asFileAttribute(PosixFilePermissions.fromString("rw-r--r--")));
         } catch (Exception ex) {
-            throw new RuntimeException("Failed to create temp file: " + fileName, ex);
+            throw new RuntimeException("Failed to create file: " + fileName, ex);
+        }
+    }
+
+    /**
+     * Create a directory with the given name. Create parent directories if they do not exist. Permissions are 755.
+     * 
+     * @param dir the directory to create
+     * @return the path of the created directories
+     */
+    static public Path createDirectory(String dir) {
+        try {
+            return Files.createDirectories(Paths.get(dir), PosixFilePermissions.asFileAttribute(
+                    PosixFilePermissions.fromString("rwxr-xr-x")));
+        } catch (Exception ex) {
+            throw new RuntimeException("Failed to create temp directory: " + dir, ex);
         }
     }
 
diff --git a/src/test/java/io/deephaven/benchmark/api/QueryLogTest.java b/src/test/java/io/deephaven/benchmark/api/QueryLogTest.java
index 0d5169b6..14cc37d7 100644
--- a/src/test/java/io/deephaven/benchmark/api/QueryLogTest.java
+++ b/src/test/java/io/deephaven/benchmark/api/QueryLogTest.java
@@ -1,4 +1,4 @@
-/* Copyright (c) 2022-2023 Deephaven Data Labs and Patent Pending */
+/* Copyright (c) 2022-2026 Deephaven Data Labs and Patent Pending */
 package io.deephaven.benchmark.api;
 
 import static org.junit.jupiter.api.Assertions.*;
@@ -11,7 +11,7 @@ public class QueryLogTest {
     @Test
     public void logQuery() throws Exception {
         Path outParent = Paths.get(getClass().getResource("test-profile.properties").toURI()).getParent();
-        Files.deleteIfExists(QueryLog.getLogFile(outParent, QueryLogTest.class));
+        Files.deleteIfExists(outParent.resolve("query.md"));
 
         var qlog = new QueryLog(outParent, QueryLogTest.class);
         qlog.setName(getClass().getSimpleName());
@@ -37,21 +37,21 @@ public void logQuery() throws Exception {
                 ## Test - 1st Test
 
                 ### Query 1
-                ````
+                ```
                 setup test
-                ````
+                ```
 
                 ### Query 2
-                ````
+                ```
                 query1
                 query line
-                ````
+                ```
 
                 ### Query 3
-                ````
+                ```
                 query2
                 query line
-                ````
+                ```
                 """.replace("\r", "").trim();
 
         var text = Filer.getFileText(qlog.logFile);

From 25629cc1d0e9c2b64dfa0902b8397ffa5290e72f Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Tue, 7 Apr 2026 15:03:30 -0600
Subject: [PATCH 11/73] Added jfr events

---
 .../tests/train/TrainTestRunner.java          | 96 ++++++++++++++-----
 .../deephaven/benchmark/api/BenchEvents.java  | 13 +--
 .../io/deephaven/benchmark/api/Snippets.java  | 16 +++-
 .../benchmark/connect/BarrageConnector.java   |  6 +-
 4 files changed, 94 insertions(+), 37 deletions(-)

diff --git a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
index 054112f6..d56349a4 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
@@ -49,46 +49,90 @@ public void test(String name, long maxExpectedRowCount, String operation, String
         Recording = jpy.get_type("jdk.jfr.Recording")
         rec = Recording()
         rec.setName("benchmark")
+        
+        enabled_events=['jdk.GarbageCollection', 'jdk.GCPhasePause', 'jdk.GCPhaseConcurrent', 'jdk.GCCPUTime']
+        for n in enabled_events:
+            try:
+                rec.enable(n)
+            except Exception as e:
+                print(f"Event Not Enabled: {e}")
+
+        disabled_events=['jdk.ExecutionSample', 'jdk.JavaMonitorEnter', 'jdk.JavaMonitorWait', 'jdk.ThreadSleep', 
+            'jdk.SocketRead', 'jdk.SocketWrite']
+        for n in disabled_events:
+            try:
+                rec.disable(_ename)
+            except Exception:
+                print(f"Event Not Disabled: {e}")
+
         rec.start()
         """;
     
     static final String stopJfrQuery = """
         Paths = jpy.get_type("java.nio.file.Paths")
         RecordingFile = jpy.get_type("jdk.jfr.consumer.RecordingFile")
+
         rec.dump(Paths.get("/data/benchmark.jfr"))
         rec.stop()
         rec.close()
+        
         events = RecordingFile.readAllEvents(Paths.get("/data/benchmark.jfr"))
 
-        # Log each event's fields to the console for inspection
-        print("=== JFR event dump begin ===")
-        for i in range(events.size()):
-            e = events.get(i)
-            etype = e.getEventType()
-            print(f"Event {i}: type={etype.getName()}")
-            fields = e.getFields()
-            for idx in range(fields.size()):
-                fd = fields.get(idx)
-                fname = fd.getName()
-                fval = e.getValue(fname)
-                print(f"  {fname} = {fval}")
-            print("--")
-        print("=== JFR event dump end ===")
-
         jfr_rows = []
+
+        def getEventValue(ev, field):
+            try:
+                return ev.getValue(field)
+            except Exception:
+                return None
+                
+        def getNanoValue(ev, duration_field):
+            val = ev.getValue(duration_field)
+            if val is None or str(val) == "null": return 0
+            if isinstance(val, int): return val
+            if hasattr(val, "size") and hasattr(val, "get"):
+                total = 0
+                for i in range(val.size()):
+                    d = val.get(i)
+                    if d is not None and str(d) != "null": total += d.toNanos()
+                return total
+            if hasattr(val, "toNanos"): return val.toNanos()
+            raise TypeError(f"Unsupported JFR value type: {type(val)}")
+
+
         for i in range(events.size()):
             e = events.get(i)
-            start = e.getStartTime().getEpochSecond() * 1000000000 + e.getStartTime().getNano()
-            dur = e.getDuration().getSeconds() * 1000000000 + e.getDuration().getNano()
-            jfr_rows.append([str(e.getEventType().getName()), start, dur, str(e)])
-        jfr = new_table([
-            string_col("origin", ["jfr" for r in jfr_rows]),
-            string_col("type", [r[0] for r in jfr_rows]),
-            long_col("start_ns", [r[1] for r in jfr_rows]),
-            long_col("duration_ns", [r[2] for r in jfr_rows]),
-            string_col("detail", [r[3] for r in jfr_rows]),
-        ])
-        standard_events = merge([standard_events, jfr])
+            etype = e.getEventType().getName()
+            start = e.getStartTime().getEpochSecond() * 1000000000 + e.getStartTime().getNano();
+
+            if etype == 'jdk.GarbageCollection':
+                duration = getNanoValue(e, 'duration')
+                name = getEventValue(e, 'name')
+                value = getNanoValue(e, 'sumOfPauses')
+            elif etype == 'jdk.GCPhasePause' or etype == 'jdk.GCPhaseConcurrent':
+                duration = getNanoValue(e, 'duration')
+                name = getEventValue(e, 'name')
+                value = duration
+            elif etype == 'jdk.GCCPUTime':
+                duration = getNanoValue(e, 'realTime')
+                name = "cpuTime"
+                value = getNanoValue(e, 'systemTime') + getNanoValue(e, 'userTime')
+            else:
+                continue
+
+            jfr_rows.append([etype, start, duration, name, value])
+
+        # Only create a table if we saw any GC events
+        if len(jfr_rows) > 0:
+            jfr_gc = new_table([
+                string_col("origin", ["deephaven-engine" for r in jfr_rows]),
+                string_col("type", [r[0] for r in jfr_rows]),
+                long_col("start_ns", [r[1] for r in jfr_rows]),
+                long_col("duration_ns", [r[2] for r in jfr_rows]),
+                string_col("name", [r[3] for r in jfr_rows]),
+                double_col("value", [r[4] for r in jfr_rows]),
+            ])
+            standard_events = merge([standard_events, jfr_gc])
         """;
     
     static final String ugpQuery = """
diff --git a/src/main/java/io/deephaven/benchmark/api/BenchEvents.java b/src/main/java/io/deephaven/benchmark/api/BenchEvents.java
index f3d715f0..1ecef26d 100644
--- a/src/main/java/io/deephaven/benchmark/api/BenchEvents.java
+++ b/src/main/java/io/deephaven/benchmark/api/BenchEvents.java
@@ -12,7 +12,7 @@
  * Represents the events gathered during usage of the Bench API. These can include events gather by the API or the user.
  */
 final public class BenchEvents {
-    static final String header = "benchmark_name,origin,type,start,duration,detail";
+    static final String header = "benchmark_name,origin,type,start,duration,name,value";
     final List<Event> events = new ArrayList<>();
     final Path file;
     private String name = null;
@@ -38,8 +38,9 @@ public BenchEvents add(ResultTable table) {
             var type = table.getValue(r, "type").toString();
             var startNanos = table.getNumber(r, "start_ns").longValue();
             var durationNanos = table.getNumber(r, "duration_ns").longValue();
-            var details = table.getValue(r, "detail").toString();
-            var event = new Event(origin, type, startNanos, durationNanos, details);
+            var name = String.valueOf(table.getValue(r, "name"));
+            var value = table.getNumber(r, "value").doubleValue();
+            var event = new Event(origin, type, startNanos, durationNanos, name, value);
             events.add(event);
         }
         return this;
@@ -75,10 +76,10 @@ static void writeLine(String line, Path file) {
         }
     }
 
-    record Event(String origin, String type, long startNanos, long durationNanos, String detail) {
+    record Event(String origin, String type, long startNanos, long durationNanos, String name, double value) {
         String toCsv() {
-            return origin + "," + type + "," + startNanos + "," + durationNanos + "," + detail;
+            return origin + "," + type + "," + startNanos + "," + durationNanos + "," + name + "," + value;
         }
     }
 
-}
\ No newline at end of file
+}
diff --git a/src/main/java/io/deephaven/benchmark/api/Snippets.java b/src/main/java/io/deephaven/benchmark/api/Snippets.java
index 86bded74..58790bb8 100644
--- a/src/main/java/io/deephaven/benchmark/api/Snippets.java
+++ b/src/main/java/io/deephaven/benchmark/api/Snippets.java
@@ -175,7 +175,8 @@ def bench_api_metrics_add(category, name, value, note=''):
      * ex. bench_api_metrics_table = bench_api_metrics_collect()
      */
     static String bench_api_metrics_collect = """
-        from deephaven import input_table, empty_table, dtypes as dht
+        from deephaven import input_table, empty_table, new_table, dtypes as dht
+        from deephaven.column import string_col, long_col, double_col
         def bench_api_metrics_collect():
             s = dht.string
             t = input_table({'timestamp':s,'origin':s,'category':s,'name':s,'value':s,'note':s})
@@ -185,8 +186,15 @@ def bench_api_metrics_collect():
                 t.add(m1)
             return t
             
-        standard_events = new_table([ string_col("origin",[]), string_col("type",[]), long_col("start_ns",[]), 
-            long_col("duration_ns",[]), string_col("detail",[])])
+        # Standard events table used by JFR workflows
+        standard_events = new_table([
+            string_col("origin", []),
+            string_col("type", []),
+            long_col("start_ns", []),
+            long_col("duration_ns", []),
+            string_col("name", []),
+            double_col("value", []),
+        ])
         """;
 
     /**
@@ -261,4 +269,4 @@ static String getFunc(String functionName, String functionDef, String query, Str
         return functionDef + System.lineSeparator();
     }
 
-}
\ No newline at end of file
+}
diff --git a/src/main/java/io/deephaven/benchmark/connect/BarrageConnector.java b/src/main/java/io/deephaven/benchmark/connect/BarrageConnector.java
index 632811ca..85cc3c3f 100644
--- a/src/main/java/io/deephaven/benchmark/connect/BarrageConnector.java
+++ b/src/main/java/io/deephaven/benchmark/connect/BarrageConnector.java
@@ -35,7 +35,8 @@ class BarrageConnector implements Connector {
     static {
         System.setProperty("thread.initialization", ""); // Remove server side initializers (e.g. DebuggingInitializer)
     }
-    static final int maxFetchCount = 1000;
+    static final int maxFetchCount = 100000;
+    static final int inboundMessageMB = 64;
     final private BarrageSession session;
     final private ConsoleSession console;
     final private ManagedChannel channel;
@@ -243,6 +244,9 @@ private ManagedChannel getManagedChannel(String host, int port) {
         final ManagedChannelBuilder<?> channelBuilder = ManagedChannelBuilder.forAddress(host, port);
         channelBuilder.usePlaintext();
         // channelBuilder.useTransportSecurity(); If eventually security is needed
+        // Increase the maximum inbound message size so large Barrage snapshots (e.g. standard_events)
+        // do not trip the default 4 MiB gRPC limit while prototyping benchmarks.
+        channelBuilder.maxInboundMessageSize(inboundMessageMB * 1024 * 1024); // 32 MiB
 
         return channelBuilder.build();
     }

From 528c36560cde30e5616194515707c59278cbd397 Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Thu, 9 Apr 2026 11:21:48 -0600
Subject: [PATCH 12/73] Added UGP events

---
 .../tests/train/TrainTestRunner.java          | 65 ++++++++++++++-----
 .../io/deephaven/benchmark/api/Snippets.java  |  3 +-
 .../dashboards/benchmark_functions.dh.py      | 36 ++++++----
 3 files changed, 73 insertions(+), 31 deletions(-)

diff --git a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
index d56349a4..ad0d7e23 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
@@ -39,11 +39,12 @@ public void addSetupQuery(String query) {
 
     public void test(String name, long maxExpectedRowCount, String operation, String... loadColumns) {
         delegate.addSetupQuery(startJfrQuery);
+        delegate.addSetupQuery(startUgpQuery);
+        delegate.addTeardownQuery(stopUgpQuery);
         delegate.addTeardownQuery(stopJfrQuery);
-        delegate.addTeardownQuery(ugpQuery);
         delegate.test(name, maxExpectedRowCount, operation, loadColumns);
     }
-    
+
     static final String startJfrQuery = """
         import jpy
         Recording = jpy.get_type("jdk.jfr.Recording")
@@ -54,20 +55,20 @@ public void test(String name, long maxExpectedRowCount, String operation, String
         for n in enabled_events:
             try:
                 rec.enable(n)
-            except Exception as e:
-                print(f"Event Not Enabled: {e}")
+            except Exception:
+                print(f"Event Not Enabled: {n}")
 
         disabled_events=['jdk.ExecutionSample', 'jdk.JavaMonitorEnter', 'jdk.JavaMonitorWait', 'jdk.ThreadSleep', 
             'jdk.SocketRead', 'jdk.SocketWrite']
         for n in disabled_events:
             try:
-                rec.disable(_ename)
+                rec.disable(n)
             except Exception:
-                print(f"Event Not Disabled: {e}")
+                print(f"Event Not Disabled: {n}")
 
         rec.start()
         """;
-    
+
     static final String stopJfrQuery = """
         Paths = jpy.get_type("java.nio.file.Paths")
         RecordingFile = jpy.get_type("jdk.jfr.consumer.RecordingFile")
@@ -77,7 +78,6 @@ public void test(String name, long maxExpectedRowCount, String operation, String
         rec.close()
         
         events = RecordingFile.readAllEvents(Paths.get("/data/benchmark.jfr"))
-
         jfr_rows = []
 
         def getEventValue(ev, field):
@@ -99,7 +99,6 @@ def getNanoValue(ev, duration_field):
             if hasattr(val, "toNanos"): return val.toNanos()
             raise TypeError(f"Unsupported JFR value type: {type(val)}")
 
-
         for i in range(events.size()):
             e = events.get(i)
             etype = e.getEventType().getName()
@@ -122,7 +121,6 @@ raise TypeError(f"Unsupported JFR value type: {type(val)}")
 
             jfr_rows.append([etype, start, duration, name, value])
 
-        # Only create a table if we saw any GC events
         if len(jfr_rows) > 0:
             jfr_gc = new_table([
                 string_col("origin", ["deephaven-engine" for r in jfr_rows]),
@@ -134,11 +132,44 @@ raise TypeError(f"Unsupported JFR value type: {type(val)}")
             ])
             standard_events = merge([standard_events, jfr_gc])
         """;
-    
-    static final String ugpQuery = """
-        from deephaven import write_csv
-        import deephaven.perfmon as pm
-        ugp = pm.update_performance_log()
-        write_csv(ugp, "/data/ugp_cycles.csv")
+
+    static final String startUgpQuery = """
+        from deephaven import time_table
+        from deephaven.table_listener import listen
+        import time
+
+        if 'train_ugp_listener' in globals(): train_ugp_listener.stop()
+        train_wall_epoch_ns = time.time_ns()
+        train_ugp_times = [time.perf_counter_ns()]
+        train_time_table = time_table("PT0.001S").tail(1)
+
+        def train_ugp_update(update, is_replay):
+            train_ugp_times.append(time.perf_counter_ns())
+        
+        train_ugp_listener = listen(train_time_table, train_ugp_update)
+        """;
+
+    static final String stopUgpQuery = """
+        if 'train_ugp_listener' in globals(): train_ugp_listener.stop()
+        if len(train_ugp_times) > 1:
+            mono_start = train_ugp_times[0]
+            ugp_rows = []
+            for i in range(1, len(train_ugp_times)):
+                mono_prev = train_ugp_times[i - 1]
+                mono_curr = train_ugp_times[i]
+                delta_ns = mono_curr - mono_prev
+                wall_clock_ns = train_wall_epoch_ns + (mono_curr - mono_start)
+                ugp_rows.append([wall_clock_ns, delta_ns, mono_curr])
+        
+            ugp_events = new_table([
+                string_col("origin", ["deephaven-engine"] * len(ugp_rows)),
+                string_col("type", ["ugp.delta"] * len(ugp_rows)),
+                long_col("start_ns", [r[0] for r in ugp_rows]),
+                long_col("duration_ns", [r[1] for r in ugp_rows]),
+                string_col("name", ["elapsedTime"] * len(ugp_rows)),
+                double_col("value", [float(r[2]) for r in ugp_rows]),
+            ])
+        
+            standard_events = merge([standard_events, ugp_events])
         """;
-}
\ No newline at end of file
+}
diff --git a/src/main/java/io/deephaven/benchmark/api/Snippets.java b/src/main/java/io/deephaven/benchmark/api/Snippets.java
index 58790bb8..fc659346 100644
--- a/src/main/java/io/deephaven/benchmark/api/Snippets.java
+++ b/src/main/java/io/deephaven/benchmark/api/Snippets.java
@@ -185,8 +185,7 @@ def bench_api_metrics_collect():
                     'name=``+m[3]','value=``+m[4]','note=``+m[5]'])    
                 t.add(m1)
             return t
-            
-        # Standard events table used by JFR workflows
+
         standard_events = new_table([
             string_col("origin", []),
             string_col("type", []),
diff --git a/src/main/resources/io/deephaven/benchmark/run/profile/queries/dashboards/benchmark_functions.dh.py b/src/main/resources/io/deephaven/benchmark/run/profile/queries/dashboards/benchmark_functions.dh.py
index be362158..071e2f8f 100644
--- a/src/main/resources/io/deephaven/benchmark/run/profile/queries/dashboards/benchmark_functions.dh.py
+++ b/src/main/resources/io/deephaven/benchmark/run/profile/queries/dashboards/benchmark_functions.dh.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2024 Deephaven Data Labs and Patent Pending 
+# Copyright (c) 2022-2026 Deephaven Data Labs and Patent Pending 
 #
 # Deephaven python functions to support Benchmark Dashboards. These functions produce basic tables, 
 # format strings, and do calculations. The data for creating tables is downloaded and cached from 
@@ -6,11 +6,9 @@
 #
 # Requirements: Deephaven 0.36.1 or greater
 
-import os, re, glob, jpy
-import deephaven.dtypes as dht
+import os, re, jpy
 from deephaven import read_csv, merge, agg, empty_table, input_table, dtypes as dht
 from urllib.request import urlopen, urlretrieve
-from numpy import typing as npt
 
 # Convert the given name to a name suitable for a DH column name
 def normalize_name(name):
@@ -123,8 +121,11 @@ def convert_result(table):
         
 # Do any conversions of type or column name needed from benchmark-metrics.csv
 def convert_metric(table):
-    return table.view(['benchmark_name','origin','timestamp=(long)timestamp','name',
-        'value=(double)value','note'])
+    return table.view(['benchmark_name','origin','timestamp=(long)timestamp','name','value=(double)value','note'])
+        
+# Do any conversions of type or column name needed from benchmark-events.csv
+def convert_event(table):
+    return table.view(['benchmark_name','origin','start','duration','name','value=(double)value'])
         
 # Do any conversions of type or column name needed from benchmark-platform.csv
 def convert_platform(table):
@@ -171,6 +172,11 @@ def load_bench_results(storage_uri, category='adhoc', actor_filter=None, set_fil
 def load_bench_metrics(storage_uri, category='adhoc', actor_filter=None, set_filter=None):
     run_ids = get_run_paths(storage_uri, category, actor_filter, set_filter, 100)
     return merge_run_tables(storage_uri, run_ids, category, 'benchmark-metrics.csv', convert_metric)
+    
+# Load all benchmark-events.csv data collected from the given storage, category, and filters
+def load_bench_events(storage_uri, category='adhoc', actor_filter=None, set_filter=None):
+    run_ids = get_run_paths(storage_uri, category, actor_filter, set_filter, 100)
+    return merge_run_tables(storage_uri, run_ids, category, 'benchmark-events.csv', convert_event)
 
 # Load all benchmark-platform.csv data collected from the given storage, category, and filters
 def load_bench_platform(storage_uri, category='adhoc', actor_filter=None, set_filter=None):
@@ -201,7 +207,9 @@ def load_table_or_empty(table_name, storage_uri, category='adhoc', actor_filter=
     return globals()[f'empty_bench_{table_name}']()
 
 # Add columns for the specified platform properties
-def add_platform_values(table, pnames=[], cnames = []):
+def add_platform_values(table, pnames=None, cnames=None):
+    pnames = pnames if pnames is not None else []
+    cnames = cnames if cnames is not None else []
     pnames = list(dict.fromkeys(pnames))
     for pname in pnames:
         new_pname = normalize_name(pname)
@@ -213,14 +221,16 @@ def add_platform_values(table, pnames=[], cnames = []):
     return table
 
 # Add columns for the specified metric properties
-def add_metric_values(table, pnames=[], cnames=[]):
+def add_metric_values(table, pnames=None, cnames=None):
+    pnames = pnames if pnames is not None else []
+    cnames = cnames if cnames is not None else []
     pnames = list(dict.fromkeys(pnames))
     for pname in pnames:
         new_pname = normalize_name(pname)
         cnames.append(new_pname)
-        single_metrtics = bench_metrics.where(['name=pname']).first_by(['benchmark_name','set_id','run_id','origin'])
+        single_metrics = bench_metrics.where(['name=pname']).first_by(['benchmark_name','set_id','run_id','origin'])
         table = table.natural_join(
-            single_metrtics, on=['benchmark_name','set_id','run_id','origin'], joins=[new_pname+'=value']
+            single_metrics, on=['benchmark_name','set_id','run_id','origin'], joins=[new_pname+'=value']
         )
     return table
 
@@ -239,12 +249,14 @@ def format_columns(table,pct_cols=(),int_cols=()):
 # Get a percentage standard deviation for the given list of rates
 def rstd(rates) -> float:
     rates = [i for i in rates if i >= 0]
+    if not rates: return 0.0
     mean = statistics.mean(rates)
     return (statistics.pstdev(rates) / mean) if mean != 0 else 0.0
 
 # Get the zscore of one rate against a list of rates
 def zscore(rate, rates) -> float:
     rates = [i for i in rates if i >= 0]
+    if not rates: return 0.0
     std = statistics.pstdev(rates)
     return ((rate - statistics.mean(rates)) / std) if std != 0 else 0.0
 
@@ -260,11 +272,11 @@ def rchange(rates) -> float:
     rates = array('l', rates)
     if(len(rates) < 2): return 0.0
     m = statistics.mean(rates[:-1])
-    return (rates[-1] - m) / m
+    return ((rates[-1] - m) / m) if m != 0 else 0.0
 
 # Get the percentage gain between two values
 def gain(start, end) -> float:
-    return (end - start) / start
+    return ((end - start) / start) if start != 0 else 0.0
 
 # Format a list of rates to make them easier to read in a DHC table
 def format_rates(rates):

From bd5ff0233e3e9ba493158d2a31604a4cac3a9182 Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Thu, 9 Apr 2026 19:45:43 -0600
Subject: [PATCH 13/73] Rescaled only static trained for 120 secs

---
 .../tests/standard/StandardTestRunner.java    |  8 +++----
 .../benchmark/tests/train/AggByTrainTest.java |  7 +++----
 .../tests/train/FilterTrainTest.java          | 12 +++++------
 .../tests/train/FormulaTrainTest.java         |  6 +++---
 .../tests/train/NaturalJoinTrainTest.java     |  4 ++--
 .../tests/train/OrderedTrainTest.java         |  4 ++--
 .../tests/train/TrainTestRunner.java          | 13 ++++++------
 .../tests/train/UpdateByTrainTest.java        |  4 ++--
 .../io/deephaven/benchmark/api/Snippets.java  | 21 ++++++++++---------
 9 files changed, 40 insertions(+), 39 deletions(-)

diff --git a/src/it/java/io/deephaven/benchmark/tests/standard/StandardTestRunner.java b/src/it/java/io/deephaven/benchmark/tests/standard/StandardTestRunner.java
index 9d4b23ae..77fa4f59 100644
--- a/src/it/java/io/deephaven/benchmark/tests/standard/StandardTestRunner.java
+++ b/src/it/java/io/deephaven/benchmark/tests/standard/StandardTestRunner.java
@@ -36,7 +36,7 @@ final public class StandardTestRunner {
     private int staticFactor = 1;
     private int incFactor = 1;
     private int rowCountFactor = 1;
-    private boolean useMemorySource = true;
+    private boolean useCachedSource = true;
     private boolean useLocalParquet = false;
 
     public StandardTestRunner(Object testInst) {
@@ -107,8 +107,8 @@ public void setServices(String... services) {
      * 
      * @return true if in memory source, otherwise false
      */
-    public void useMemorySource(boolean useMemorySource) {
-        this.useMemorySource = useMemorySource;
+    public void useCachedSource(boolean useMemorySource) {
+        this.useCachedSource = useMemorySource;
     }
 
     /**
@@ -242,7 +242,7 @@ long getMaxExpectedRowCount(long expectedRowCount, long scaleFactor) {
 
     String getReadOperation(int scaleFactor, long rowCount, String... loadColumns) {
         var headRows = (rowCount >= getGeneratedRowCount()) ? "" : ".head(${rows})";
-        var selectStr = useMemorySource ? "select" : "view";
+        var selectStr = useCachedSource ? "select" : "view";
         if (scaleFactor > 1 && mainTable.equals("timed") && Arrays.asList(loadColumns).contains("timestamp")) {
             var read = """
             merge([
diff --git a/src/it/java/io/deephaven/benchmark/tests/train/AggByTrainTest.java b/src/it/java/io/deephaven/benchmark/tests/train/AggByTrainTest.java
index 22162021..fd6ba528 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/AggByTrainTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/AggByTrainTest.java
@@ -25,18 +25,17 @@ void setup(double rowFactor) {
     }
 
     @Test
-    @Disabled
     void aggBy0Groups() {
-        setup(120);
+        setup(572);
         var q = "timed.agg_by(aggs)";
         runner.test("AggBy- No Groups", 1, q, "num1", "num2");
     }
 
     @Test
     void aggBy2Groups() {
-        setup(21);
+        setup(66);
         var q = "timed.agg_by(aggs, by=['key1', 'key2'])";
-        runner.test("AggBy- 2 Groups 10K Unique Combos ", 10100, q, "key1", "key2", "num1", "num2");
+        runner.test("AggBy- 2 Groups 10K Unique Combos", 10100, q, "key1", "key2", "num1", "num2");
     }
 
 }
diff --git a/src/it/java/io/deephaven/benchmark/tests/train/FilterTrainTest.java b/src/it/java/io/deephaven/benchmark/tests/train/FilterTrainTest.java
index a3396ee4..32d91289 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/FilterTrainTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/FilterTrainTest.java
@@ -25,18 +25,18 @@ void setup(double rowFactor) {
     }
 
     @Test
-    void filter1Col() {
-        setup(390);
-        var q = "timed.where_in(where_filter, cols=['key1 = set1']).where(['key1 < `4`'])";
-        runner.test("Filter- 1 Col", 0, q, "key1", "num1");
+    void filter2Cols() {
+        setup(815);
+        var q = "timed.where_in(where_filter, cols=['key1 = set1']).where(['inRange(num1, 0, 100)'])";
+        runner.test("Filter- 2 Cols", 0, q, "key1", "key2", "num1");
     }
 
     @Test
     void filter3Cols() {
-        setup(390);
+        setup(336);
         var q = """
         timed.where_in(where_filter, cols=['key1 = set1', 'key2 = set2', 'key3 = set3']) \
-            .where(filters=["key1 = '1'", "key2 < '100'", "key3 in -2, -1, 0, 1, 2"])
+            .where(filters=["key1 = '1'", 'inRange(num1, 0, 100)', 'key3 in -2, -1, 0, 1, 2'])
         """;
         runner.test("Filter- 3 Cols", 0, q, "key1", "key2", "key3", "num1");
     }
diff --git a/src/it/java/io/deephaven/benchmark/tests/train/FormulaTrainTest.java b/src/it/java/io/deephaven/benchmark/tests/train/FormulaTrainTest.java
index 6b0f11cb..e88ad340 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/FormulaTrainTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/FormulaTrainTest.java
@@ -16,7 +16,7 @@ void setup(double rowFactor) {
 
     @Test
     void formulaUdf() {
-        setup(4.8);
+        setup(9);
         var setup = """
         def f_py(num1: float, num2: float) -> float:
             return (num2 + num1) / 2
@@ -30,14 +30,14 @@ def f_np(num1: np.float64, num2: np.float64) -> np.float64:
 
     @Test
     void formulaInline() {
-        setup(220);
+        setup(467);
         var q = "timed.view(['New1 = (float)((num2 + num1) / 2)', 'New2 = (float)(num1 + num2)']).sum_by()";
         runner.test("Formula- Inline 2 Calcs", 1, q, "num1", "num2");
     }
     
     @Test
     void formulaDate() {
-        setup(1.8);
+        setup(2.7);
         var q = """
         timed.view([
             'New1 = parseDuration(`PT4H52M14S`).toHours()', 
diff --git a/src/it/java/io/deephaven/benchmark/tests/train/NaturalJoinTrainTest.java b/src/it/java/io/deephaven/benchmark/tests/train/NaturalJoinTrainTest.java
index 34286996..3fc5a5c7 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/NaturalJoinTrainTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/NaturalJoinTrainTest.java
@@ -16,7 +16,7 @@ void setup(double rowFactor) {
 
     @Test
     void naturalJoinOn1Col() {
-        setup(60);
+        setup(300);
         var r = "right = right.select_distinct(['r_wild'])";
         runner.addSetupQuery(r);
         var q = "timed.natural_join(right, on=['key1 = r_wild'])";
@@ -25,7 +25,7 @@ void naturalJoinOn1Col() {
     
     @Test
     void naturalJoinOn3Cols() {
-        setup(20);
+        setup(100);
         var q = "timed.natural_join(right, on=['key1 = r_wild', 'key2 = r_key2', 'key1 = r_key1'])";
         runner.test("NaturalJoin- Join On 3 Cols", 0, q, "key1", "key2", "num1");
     }
diff --git a/src/it/java/io/deephaven/benchmark/tests/train/OrderedTrainTest.java b/src/it/java/io/deephaven/benchmark/tests/train/OrderedTrainTest.java
index 0a6978fe..c1cb6d74 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/OrderedTrainTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/OrderedTrainTest.java
@@ -27,14 +27,14 @@ void setup(double rowFactor) {
 
     @Test
     void ordered0Groups() {
-        setup(21);
+        setup(145);
         var q = "timed.agg_by(aggs)";
         runner.test("Ordered- No Groups", 100, q, "key3", "key4", "num1", "num2");
     }
 
     @Test
     void ordered2Groups() {
-        setup(5);
+        setup(22);
         var q = "timed.agg_by(aggs, by=['key1', 'key2'])";
         runner.test("Ordered- 2 Groups 10K Unique Combos", 10100, q, "key1", "key2", "key3", "key4", "num1", "num2");
     }
diff --git a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
index ad0d7e23..c523fb74 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
@@ -13,16 +13,17 @@
  * versions and GC types.
  */
 final public class TrainTestRunner {
-    static final int maxRowFactor = 400;
+    static final int maxRowFactor = 1000;
     final StandardTestRunner delegate;
     final long baseRowCount;
 
     TrainTestRunner(Object testInst) {
         this.delegate = new StandardTestRunner(testInst);
         this.baseRowCount = delegate.getGeneratedRowCount();
-        delegate.useMemorySource(false);
+        delegate.useCachedSource(false);
         delegate.useLocalParquet(true);
         delegate.setRowFactor(maxRowFactor);
+        delegate.setScaleFactors(1, 0);  // TODO: This is temporary for just-statics tests
     }
 
     public void tables(double rowFactor, String... names) {
@@ -38,10 +39,10 @@ public void addSetupQuery(String query) {
     }
 
     public void test(String name, long maxExpectedRowCount, String operation, String... loadColumns) {
-        delegate.addSetupQuery(startJfrQuery);
-        delegate.addSetupQuery(startUgpQuery);
-        delegate.addTeardownQuery(stopUgpQuery);
-        delegate.addTeardownQuery(stopJfrQuery);
+//        delegate.addSetupQuery(startJfrQuery);
+//        delegate.addSetupQuery(startUgpQuery);
+//        delegate.addTeardownQuery(stopUgpQuery);
+//        delegate.addTeardownQuery(stopJfrQuery);
         delegate.test(name, maxExpectedRowCount, operation, loadColumns);
     }
 
diff --git a/src/it/java/io/deephaven/benchmark/tests/train/UpdateByTrainTest.java b/src/it/java/io/deephaven/benchmark/tests/train/UpdateByTrainTest.java
index 9ed28657..956fb72c 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/UpdateByTrainTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/UpdateByTrainTest.java
@@ -34,7 +34,7 @@ void setup(double rowFactor) {
 
     @Test
     void mixedComboNoGroups() {
-        setup(9.8);
+        setup(21.8);
         runner.addSetupQuery(noGroups);
         var q = "timed.update_by(ops=[avg_contains, max_before, prod_after, ema_tick_op, min_op, sum_op])";
         runner.test("UpdateBy- No Groups 12 Cols", 0, q, "num1", "num2", "timestamp");
@@ -42,7 +42,7 @@ void mixedComboNoGroups() {
 
     @Test
     void rollingCombo2Groups() {
-        setup(2.8);
+        setup(5.8);
         runner.addSetupQuery(group10K);
         var q = """
         timed.update_by(ops=[avg_contains,max_before,prod_after,ema_tick_op,min_op,sum_op], by=['key1','key2'])
diff --git a/src/main/java/io/deephaven/benchmark/api/Snippets.java b/src/main/java/io/deephaven/benchmark/api/Snippets.java
index fc659346..b5f52bfc 100644
--- a/src/main/java/io/deephaven/benchmark/api/Snippets.java
+++ b/src/main/java/io/deephaven/benchmark/api/Snippets.java
@@ -80,9 +80,19 @@ with exclusive_lock(table):
      * ex. bench_api_metrics_init()
      */
     static String bench_api_metrics_init = """
+        from deephaven import new_table
+        from deephaven.column import string_col, long_col, double_col
         def bench_api_metrics_init():
-            global bench_api_metrics
+            global bench_api_metrics, standard_events
             bench_api_metrics = []
+            standard_events = new_table([
+                string_col("origin", []),
+                string_col("type", []),
+                long_col("start_ns", []),
+                long_col("duration_ns", []),
+                string_col("name", []),
+                double_col("value", []),
+            ])
         """;
 
     /**
@@ -185,15 +195,6 @@ def bench_api_metrics_collect():
                     'name=``+m[3]','value=``+m[4]','note=``+m[5]'])    
                 t.add(m1)
             return t
-
-        standard_events = new_table([
-            string_col("origin", []),
-            string_col("type", []),
-            long_col("start_ns", []),
-            long_col("duration_ns", []),
-            string_col("name", []),
-            double_col("value", []),
-        ])
         """;
 
     /**

From 75449bb7fb200ec4285d55a9272f44646f1bf24d Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Thu, 9 Apr 2026 20:11:43 -0600
Subject: [PATCH 14/73] Updated adhoc for local parquet env variables

---
 .github/resources/adhoc-benchmark-docker-compose.yml | 1 +
 .github/scripts/manage-deephaven-remote.sh           | 1 +
 2 files changed, 2 insertions(+)

diff --git a/.github/resources/adhoc-benchmark-docker-compose.yml b/.github/resources/adhoc-benchmark-docker-compose.yml
index c02c30e3..78a352f1 100644
--- a/.github/resources/adhoc-benchmark-docker-compose.yml
+++ b/.github/resources/adhoc-benchmark-docker-compose.yml
@@ -8,6 +8,7 @@ services:
       - ./minio:/minio
     environment:
       - "START_OPTS=-DAuthHandlers=io.deephaven.auth.AnonymousAuthenticationHandler ${CONFIG_OPTS}"
+      - "DEEPHAVEN_HOST_OS_DIR=${ENV_DEEPHAVEN_HOST_OS_DIR}"
 
   redpanda:
     command:
diff --git a/.github/scripts/manage-deephaven-remote.sh b/.github/scripts/manage-deephaven-remote.sh
index e1e49cf8..57af19cb 100755
--- a/.github/scripts/manage-deephaven-remote.sh
+++ b/.github/scripts/manage-deephaven-remote.sh
@@ -35,6 +35,7 @@ if [[ ${CONFIG_OPTS} == "<default>" ]]; then
   CONFIG_OPTS="-Xmx24g"
 fi
 echo "CONFIG_OPTS=${CONFIG_OPTS}" > .env
+echo "ENV_DEEPHAVEN_HOST_OS_DIR=${DEEPHAVEN_DIR}" >> .env
 
 IS_BRANCH="false"
 if [[ ${DOCKER_IMG} == *"@sha"*":"* ]]; then

From ec2d95e5d7092ba95e9d15a691427de51d19fae7 Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Thu, 9 Apr 2026 20:24:41 -0600
Subject: [PATCH 15/73] Open up dh data dir so local parquet can work

---
 .github/scripts/setup-test-server-remote.sh | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/.github/scripts/setup-test-server-remote.sh b/.github/scripts/setup-test-server-remote.sh
index 43033300..920e6c4d 100755
--- a/.github/scripts/setup-test-server-remote.sh
+++ b/.github/scripts/setup-test-server-remote.sh
@@ -135,7 +135,8 @@ sudo docker system prune --volumes --force
 sudo rm -rf ${DEEPHAVEN_DIR}
 
 title "-- Staging Docker Resources --"
-mkdir -p ${DEEPHAVEN_DIR}
+mkdir -p ${DEEPHAVEN_DIR}/data
+chmod 777 ${DEEPHAVEN_DIR}/data
 cd ${DEEPHAVEN_DIR}
 cp ${GIT_DIR}/benchmark/.github/resources/${RUN_TYPE}-benchmark-docker-compose.yml docker-compose.yml
 

From a402a54a524ebd07589f8d2d22690abc5ca76dcd Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Fri, 10 Apr 2026 11:50:20 -0600
Subject: [PATCH 16/73] More logging for benchmark runs

---
 .../deephaven/benchmark/tests/standard/StandardTestRunner.java  | 2 ++
 src/main/java/io/deephaven/benchmark/api/BenchTable.java        | 2 +-
 2 files changed, 3 insertions(+), 1 deletion(-)

diff --git a/src/it/java/io/deephaven/benchmark/tests/standard/StandardTestRunner.java b/src/it/java/io/deephaven/benchmark/tests/standard/StandardTestRunner.java
index 77fa4f59..d4be6b03 100644
--- a/src/it/java/io/deephaven/benchmark/tests/standard/StandardTestRunner.java
+++ b/src/it/java/io/deephaven/benchmark/tests/standard/StandardTestRunner.java
@@ -10,6 +10,7 @@
 import io.deephaven.benchmark.controller.Controller;
 import io.deephaven.benchmark.controller.DeephavenDockerController;
 import io.deephaven.benchmark.metric.Metrics;
+import io.deephaven.benchmark.util.Log;
 import io.deephaven.benchmark.util.Timer;
 
 /**
@@ -374,6 +375,7 @@ Result runTest(String name, String warmupQuery, String mainQuery) {
         stopUnusedServices(requiredServices);
 
         try {
+            Log.info("Running Test: %s", name);
             if (getWarmupRowCount() > 0)
                 api.query(warmupQuery).execute();
             var result = new AtomicReference<Result>();
diff --git a/src/main/java/io/deephaven/benchmark/api/BenchTable.java b/src/main/java/io/deephaven/benchmark/api/BenchTable.java
index 11ccd10e..1c302cac 100644
--- a/src/main/java/io/deephaven/benchmark/api/BenchTable.java
+++ b/src/main/java/io/deephaven/benchmark/api/BenchTable.java
@@ -188,7 +188,7 @@ public boolean generateParquet() {
         }).execute();
 
         if (usedExistingParquet.get()) {
-            Log.info("Using existing table '%s' with %s rows", tableName, getRowCount());
+            Log.info("\nUsing existing table '%s' with %s rows", tableName, getRowCount());
             return false;
         }
         Log.info("Generating table '%s' with %s rows", tableName, getRowCount());

From 4cf83575928f59de9eef0fb9f355acf8f8007c1f Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Fri, 10 Apr 2026 13:28:44 -0600
Subject: [PATCH 17/73] Scaling back AggBy because of system lockup

---
 .../io/deephaven/benchmark/tests/train/AggByTrainTest.java  | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/src/it/java/io/deephaven/benchmark/tests/train/AggByTrainTest.java b/src/it/java/io/deephaven/benchmark/tests/train/AggByTrainTest.java
index fd6ba528..85ed5615 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/AggByTrainTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/AggByTrainTest.java
@@ -17,8 +17,8 @@ void setup(double rowFactor) {
         from deephaven import agg
         
         aggs = [
-           agg.sum_('Sum=num1'), agg.std('Std=num2'), agg.min_('Min=num1'), agg.max_('Max=num2'),
-           agg.avg('Avg=num1'), agg.var('Var=num2'), agg.count_('num1')
+            agg.sum_('Sum=num1'), agg.std('Std=num2'), agg.min_('Min=num1'), agg.max_('Max=num2'),
+            agg.avg('Avg=num1'), agg.var('Var=num2'), agg.count_('num1')
         ]
         """;
         runner.addSetupQuery(setupStr);
@@ -26,7 +26,7 @@ void setup(double rowFactor) {
 
     @Test
     void aggBy0Groups() {
-        setup(572);
+        setup(400);
         var q = "timed.agg_by(aggs)";
         runner.test("AggBy- No Groups", 1, q, "num1", "num2");
     }

From 85077947dbfd69167aff0e18885ac18864c370d2 Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Fri, 10 Apr 2026 15:19:16 -0600
Subject: [PATCH 18/73] Restrict the number of parquet threads and memory for
 the runner

---
 .github/scripts/run-benchmarks-remote.sh                        | 2 +-
 .../java/io/deephaven/benchmark/tests/train/AggByTrainTest.java | 2 +-
 src/main/java/io/deephaven/benchmark/api/BenchTable.java        | 2 +-
 3 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/.github/scripts/run-benchmarks-remote.sh b/.github/scripts/run-benchmarks-remote.sh
index b28a25c1..259915e6 100755
--- a/.github/scripts/run-benchmarks-remote.sh
+++ b/.github/scripts/run-benchmarks-remote.sh
@@ -43,7 +43,7 @@ title "-- Running Benchmarks --"
 set +f
 cd ${RUN_DIR}
 cat ${RUN_TYPE}-scale-benchmark.properties | sed 's|${baseRowCount}|'"${ROW_COUNT}|g" | sed 's|${baseDistrib}|'"${DISTRIB}|g" | sed 's|${userHome}|'"${HOME}|g" > scale-benchmark.properties
-JAVA_OPTS=$(echo -Dbenchmark.profile=scale-benchmark.properties -jar deephaven-benchmark-*-standalone.jar -cp standard-tests.jar)
+JAVA_OPTS=$(echo -Xmx4g -Dbenchmark.profile=scale-benchmark.properties -jar deephaven-benchmark-*-standalone.jar -cp standard-tests.jar)
 set -f
 
 if [ "${TAG_NAME}" = "Any" ]; then
diff --git a/src/it/java/io/deephaven/benchmark/tests/train/AggByTrainTest.java b/src/it/java/io/deephaven/benchmark/tests/train/AggByTrainTest.java
index 85ed5615..7d876359 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/AggByTrainTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/AggByTrainTest.java
@@ -26,7 +26,7 @@ void setup(double rowFactor) {
 
     @Test
     void aggBy0Groups() {
-        setup(400);
+        setup(572);
         var q = "timed.agg_by(aggs)";
         runner.test("AggBy- No Groups", 1, q, "num1", "num2");
     }
diff --git a/src/main/java/io/deephaven/benchmark/api/BenchTable.java b/src/main/java/io/deephaven/benchmark/api/BenchTable.java
index 1c302cac..50198c42 100644
--- a/src/main/java/io/deephaven/benchmark/api/BenchTable.java
+++ b/src/main/java/io/deephaven/benchmark/api/BenchTable.java
@@ -246,7 +246,7 @@ public boolean generateLocalParquet() {
             throw new RuntimeException("DEEPHAVEN_HOST_OS_DIR env must be set to use local parquet generation");
 
         var parquetPath = (dhHostOsDir.get() + "/" + tableGenParquet.get()).replace(".parquet", ".dataset");
-        var threadCount = Runtime.getRuntime().availableProcessors();
+        var threadCount = 8;
         var rowsPerThread = getRowCount() / threadCount;
         var futures = new ArrayList<Future<Metrics>>(threadCount);
         for (int i = 0; i < threadCount; i++) {

From c0b5e7a5861af559feab5b615aa46cd6527dd6c8 Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Fri, 10 Apr 2026 21:59:03 -0600
Subject: [PATCH 19/73] Fixed NaturalJoin OOM

---
 .../deephaven/benchmark/tests/train/NaturalJoinTrainTest.java   | 2 +-
 .../io/deephaven/benchmark/tests/train/TrainTestRunner.java     | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/src/it/java/io/deephaven/benchmark/tests/train/NaturalJoinTrainTest.java b/src/it/java/io/deephaven/benchmark/tests/train/NaturalJoinTrainTest.java
index 3fc5a5c7..6837bcc8 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/NaturalJoinTrainTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/NaturalJoinTrainTest.java
@@ -16,7 +16,7 @@ void setup(double rowFactor) {
 
     @Test
     void naturalJoinOn1Col() {
-        setup(300);
+        setup(230);
         var r = "right = right.select_distinct(['r_wild'])";
         runner.addSetupQuery(r);
         var q = "timed.natural_join(right, on=['key1 = r_wild'])";
diff --git a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
index c523fb74..555d0487 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
@@ -13,7 +13,7 @@
  * versions and GC types.
  */
 final public class TrainTestRunner {
-    static final int maxRowFactor = 1000;
+    static final int maxRowFactor = 850;
     final StandardTestRunner delegate;
     final long baseRowCount;
 

From 8f1a77f1c741852467b015c69808a98935bf81a2 Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Wed, 22 Apr 2026 10:58:42 -0600
Subject: [PATCH 20/73] Added separate scalling for static vs inc

---
 .../tests/standard/StandardTestRunner.java    |  2 +-
 .../benchmark/tests/train/AggByTrainTest.java |  8 +--
 .../tests/train/FilterTrainTest.java          |  8 +--
 .../tests/train/FormulaTrainTest.java         | 10 +--
 .../tests/train/NaturalJoinTrainTest.java     |  8 +--
 .../tests/train/OrderedTrainTest.java         |  8 +--
 .../tests/train/TrainTestRunner.java          | 67 +++++++++++++------
 .../tests/train/UpdateByTrainTest.java        |  8 +--
 8 files changed, 71 insertions(+), 48 deletions(-)

diff --git a/src/it/java/io/deephaven/benchmark/tests/standard/StandardTestRunner.java b/src/it/java/io/deephaven/benchmark/tests/standard/StandardTestRunner.java
index d4be6b03..31388404 100644
--- a/src/it/java/io/deephaven/benchmark/tests/standard/StandardTestRunner.java
+++ b/src/it/java/io/deephaven/benchmark/tests/standard/StandardTestRunner.java
@@ -355,7 +355,6 @@ String getIncQuery(String name, String operation, long rowCount, String... loadC
 
     String populateQuery(String name, String query, String operation, String read, String... loadColumns) {
         query = query.replace("${readTable}", read);
-        query = query.replace("${mainTable}", mainTable);
         query = query.replace("${loadSupportTables}", loadSupportTables());
         query = query.replace("${loadColumns}", listStr(loadColumns));
         query = query.replace("${setupQueries}", String.join("\n", setupQueries));
@@ -364,6 +363,7 @@ String populateQuery(String name, String query, String operation, String read, S
         query = query.replace("${teardownQueries}", String.join("\n", teardownQueries));
         query = query.replace("${logOperationBegin}", getLogSnippet("Begin", name));
         query = query.replace("${logOperationEnd}", getLogSnippet("End", name));
+        query = query.replace("${mainTable}", mainTable);
         return query;
     }
 
diff --git a/src/it/java/io/deephaven/benchmark/tests/train/AggByTrainTest.java b/src/it/java/io/deephaven/benchmark/tests/train/AggByTrainTest.java
index 7d876359..57e38894 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/AggByTrainTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/AggByTrainTest.java
@@ -10,8 +10,8 @@
 public class AggByTrainTest {
     final TrainTestRunner runner = new TrainTestRunner(this);
 
-    void setup(double rowFactor) {
-        runner.tables(rowFactor, "timed");
+    void setup(double staticRowFactor, double incRowFactor) {
+        runner.tables(staticRowFactor, incRowFactor, "timed");
 
         var setupStr = """
         from deephaven import agg
@@ -26,14 +26,14 @@ void setup(double rowFactor) {
 
     @Test
     void aggBy0Groups() {
-        setup(572);
+        setup(572, 286);
         var q = "timed.agg_by(aggs)";
         runner.test("AggBy- No Groups", 1, q, "num1", "num2");
     }
 
     @Test
     void aggBy2Groups() {
-        setup(66);
+        setup(66, 38);
         var q = "timed.agg_by(aggs, by=['key1', 'key2'])";
         runner.test("AggBy- 2 Groups 10K Unique Combos", 10100, q, "key1", "key2", "num1", "num2");
     }
diff --git a/src/it/java/io/deephaven/benchmark/tests/train/FilterTrainTest.java b/src/it/java/io/deephaven/benchmark/tests/train/FilterTrainTest.java
index 32d91289..9c106897 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/FilterTrainTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/FilterTrainTest.java
@@ -11,8 +11,8 @@
 public class FilterTrainTest {
     final TrainTestRunner runner = new TrainTestRunner(this);
 
-    void setup(double rowFactor) {
-        runner.tables(rowFactor, "timed");
+    void setup(double staticRowFactor, double incRowFactor) {
+        runner.tables(staticRowFactor, incRowFactor, "timed");
         var setup = """
         from deephaven.column import string_col, int_col
         where_filter = new_table([
@@ -26,14 +26,14 @@ void setup(double rowFactor) {
 
     @Test
     void filter2Cols() {
-        setup(815);
+        setup(815, 815);
         var q = "timed.where_in(where_filter, cols=['key1 = set1']).where(['inRange(num1, 0, 100)'])";
         runner.test("Filter- 2 Cols", 0, q, "key1", "key2", "num1");
     }
 
     @Test
     void filter3Cols() {
-        setup(336);
+        setup(400, 400);
         var q = """
         timed.where_in(where_filter, cols=['key1 = set1', 'key2 = set2', 'key3 = set3']) \
             .where(filters=["key1 = '1'", 'inRange(num1, 0, 100)', 'key3 in -2, -1, 0, 1, 2'])
diff --git a/src/it/java/io/deephaven/benchmark/tests/train/FormulaTrainTest.java b/src/it/java/io/deephaven/benchmark/tests/train/FormulaTrainTest.java
index e88ad340..d6976e45 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/FormulaTrainTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/FormulaTrainTest.java
@@ -10,13 +10,13 @@
 public class FormulaTrainTest {
     final TrainTestRunner runner = new TrainTestRunner(this);
 
-    void setup(double rowFactor) {
-        runner.tables(rowFactor, "timed");
+    void setup(double staticRowFactor, double incRowFactor) {
+        runner.tables(staticRowFactor, incRowFactor, "timed");
     }
 
     @Test
     void formulaUdf() {
-        setup(9);
+        setup(9, 9);
         var setup = """
         def f_py(num1: float, num2: float) -> float:
             return (num2 + num1) / 2
@@ -30,14 +30,14 @@ def f_np(num1: np.float64, num2: np.float64) -> np.float64:
 
     @Test
     void formulaInline() {
-        setup(467);
+        setup(467, 467);
         var q = "timed.view(['New1 = (float)((num2 + num1) / 2)', 'New2 = (float)(num1 + num2)']).sum_by()";
         runner.test("Formula- Inline 2 Calcs", 1, q, "num1", "num2");
     }
     
     @Test
     void formulaDate() {
-        setup(2.7);
+        setup(3, 3);
         var q = """
         timed.view([
             'New1 = parseDuration(`PT4H52M14S`).toHours()', 
diff --git a/src/it/java/io/deephaven/benchmark/tests/train/NaturalJoinTrainTest.java b/src/it/java/io/deephaven/benchmark/tests/train/NaturalJoinTrainTest.java
index 6837bcc8..26ba8539 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/NaturalJoinTrainTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/NaturalJoinTrainTest.java
@@ -10,13 +10,13 @@
 public class NaturalJoinTrainTest {
     final TrainTestRunner runner = new TrainTestRunner(this);
 
-    void setup(double rowFactor) {
-        runner.tables(rowFactor, "timed", "right");
+    void setup(double staticRowFactor, double incRowFactor) {
+        runner.tables(staticRowFactor, incRowFactor, "timed", "right");
     }
 
     @Test
     void naturalJoinOn1Col() {
-        setup(230);
+        setup(230, 120);
         var r = "right = right.select_distinct(['r_wild'])";
         runner.addSetupQuery(r);
         var q = "timed.natural_join(right, on=['key1 = r_wild'])";
@@ -25,7 +25,7 @@ void naturalJoinOn1Col() {
     
     @Test
     void naturalJoinOn3Cols() {
-        setup(100);
+        setup(100, 20);
         var q = "timed.natural_join(right, on=['key1 = r_wild', 'key2 = r_key2', 'key1 = r_key1'])";
         runner.test("NaturalJoin- Join On 3 Cols", 0, q, "key1", "key2", "num1");
     }
diff --git a/src/it/java/io/deephaven/benchmark/tests/train/OrderedTrainTest.java b/src/it/java/io/deephaven/benchmark/tests/train/OrderedTrainTest.java
index c1cb6d74..9f28a3f1 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/OrderedTrainTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/OrderedTrainTest.java
@@ -11,8 +11,8 @@
 public class OrderedTrainTest {
     final TrainTestRunner runner = new TrainTestRunner(this);
 
-    void setup(double rowFactor) {
-        runner.tables(rowFactor, "timed");
+    void setup(double staticRowFactor, double incRowFactor) {
+        runner.tables(staticRowFactor, incRowFactor, "timed");
 
         var setupStr = """
         from deephaven import agg
@@ -27,14 +27,14 @@ void setup(double rowFactor) {
 
     @Test
     void ordered0Groups() {
-        setup(145);
+        setup(145, 18);
         var q = "timed.agg_by(aggs)";
         runner.test("Ordered- No Groups", 100, q, "key3", "key4", "num1", "num2");
     }
 
     @Test
     void ordered2Groups() {
-        setup(22);
+        setup(22, 4);
         var q = "timed.agg_by(aggs, by=['key1', 'key2'])";
         runner.test("Ordered- 2 Groups 10K Unique Combos", 10100, q, "key1", "key2", "key3", "key4", "num1", "num2");
     }
diff --git a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
index 555d0487..370fd2ca 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
@@ -1,6 +1,7 @@
 /* Copyright (c) 2026-2026 Deephaven Data Labs and Patent Pending */
 package io.deephaven.benchmark.tests.train;
 
+import java.util.*;
 import io.deephaven.benchmark.tests.standard.StandardTestRunner;
 
 /**
@@ -16,6 +17,11 @@ final public class TrainTestRunner {
     static final int maxRowFactor = 850;
     final StandardTestRunner delegate;
     final long baseRowCount;
+    final List<String> setupQueries = new ArrayList<>();
+    final List<String> teardownQueries = new ArrayList<>();
+    private String headQuery = null;
+    private double staticRowFactor = 1;
+    private double incRowFactor = 1;
 
     TrainTestRunner(Object testInst) {
         this.delegate = new StandardTestRunner(testInst);
@@ -23,27 +29,45 @@ final public class TrainTestRunner {
         delegate.useCachedSource(false);
         delegate.useLocalParquet(true);
         delegate.setRowFactor(maxRowFactor);
-        delegate.setScaleFactors(1, 0);  // TODO: This is temporary for just-statics tests
     }
 
-    public void tables(double rowFactor, String... names) {
+    public void tables(double staticRowFactor, double incRowFactor, String... names) {
+        if (Math.max(staticRowFactor, incRowFactor) > maxRowFactor)
+            throw new IllegalArgumentException("Row factors cannot be greater than " + maxRowFactor);
+        this.staticRowFactor = staticRowFactor;
+        this.incRowFactor = incRowFactor;
         delegate.tables(names);
-        if (rowFactor > maxRowFactor)
-            throw new IllegalArgumentException("Row factor cannot be greater than " + maxRowFactor);
-        var q = "%s = %s.head(%d)".formatted(names[0], names[0], (long) (baseRowCount * rowFactor));
-        delegate.addSetupQuery(q);
+        headQuery = "%s = %s.head(${trainRowCount})".formatted(names[0], names[0]);
     }
 
     public void addSetupQuery(String query) {
-        delegate.addSetupQuery(query);
+        setupQueries.add(query);
     }
 
     public void test(String name, long maxExpectedRowCount, String operation, String... loadColumns) {
-//        delegate.addSetupQuery(startJfrQuery);
-//        delegate.addSetupQuery(startUgpQuery);
-//        delegate.addTeardownQuery(stopUgpQuery);
-//        delegate.addTeardownQuery(stopJfrQuery);
-        delegate.test(name, maxExpectedRowCount, operation, loadColumns);
+        // setupQueries(startJfrQuery);
+        //setupQueries.add(startUgpQuery);
+        //teardownQueries.add(stopUgpQuery);
+        // teardownQueries(stopJfrQuery);
+        if (staticRowFactor > 0) {
+            delegate.setScaleFactors(1, 0); // Turn on Static and off Inc
+            var h = headQuery.replace("${trainRowCount}", String.valueOf((long) (baseRowCount * staticRowFactor)));
+            delegate.addSetupQuery(h);
+            setupQueries.forEach(delegate::addSetupQuery);
+            teardownQueries.forEach(delegate::addTeardownQuery);
+            delegate.test(name, maxExpectedRowCount, operation, loadColumns);
+        }
+        if (incRowFactor > 0) {
+            delegate.setScaleFactors(0, 1); // Turn off Static and on Inc
+            var h = headQuery.replace("${trainRowCount}", String.valueOf((long) (baseRowCount * incRowFactor)));
+            delegate.addSetupQuery(h);
+            setupQueries.forEach(delegate::addSetupQuery);
+            teardownQueries.forEach(delegate::addTeardownQuery);
+            delegate.test(name, maxExpectedRowCount, operation, loadColumns);
+        } else {
+            throw new IllegalStateException("At least one of staticRowFactor or incRowFactor must be > 0");
+        }
+
     }
 
     static final String startJfrQuery = """
@@ -52,15 +76,18 @@ public void test(String name, long maxExpectedRowCount, String operation, String
         rec = Recording()
         rec.setName("benchmark")
         
-        enabled_events=['jdk.GarbageCollection', 'jdk.GCPhasePause', 'jdk.GCPhaseConcurrent', 'jdk.GCCPUTime']
+        enabled_events=['jdk.ExecutionSample','jdk.NativeMethodSample','jdk.ThreadCPULoad','jdk.GarbageCollection',
+            'jdk.GCPhasePause','jdk.SafepointBegin','jdk.SafepointEnd','jdk.SafepointState',
+            'jdk.ObjectAllocationInNewTLAB','jdk.ObjectAllocationOutsideTLAB']
         for n in enabled_events:
             try:
                 rec.enable(n)
             except Exception:
                 print(f"Event Not Enabled: {n}")
 
-        disabled_events=['jdk.ExecutionSample', 'jdk.JavaMonitorEnter', 'jdk.JavaMonitorWait', 'jdk.ThreadSleep', 
-            'jdk.SocketRead', 'jdk.SocketWrite']
+        disabled_events=['jdk.GCPhaseConcurrent','jdk.GCPhaseConcurrentMark','jdk.GCPhaseConcurrentEvacuation',
+            'jdk.G1GarbageCollection','jdk.ShenandoahGarbageCollection','jdk.ZGarbageCollection','jdk.GCHeapSummary',
+            'jdk.GCReferenceStatistics','jdk.GCWorkerData','jdk.GCCPUTime','jdk.GCPhasePause']
         for n in disabled_events:
             try:
                 rec.disable(n)
@@ -107,16 +134,12 @@ raise TypeError(f"Unsupported JFR value type: {type(val)}")
 
             if etype == 'jdk.GarbageCollection':
                 duration = getNanoValue(e, 'duration')
-                name = getEventValue(e, 'name')
+                name = 'sumOfPauses'
                 value = getNanoValue(e, 'sumOfPauses')
-            elif etype == 'jdk.GCPhasePause' or etype == 'jdk.GCPhaseConcurrent':
+            elif etype == 'jdk.GCPhasePause':
                 duration = getNanoValue(e, 'duration')
                 name = getEventValue(e, 'name')
                 value = duration
-            elif etype == 'jdk.GCCPUTime':
-                duration = getNanoValue(e, 'realTime')
-                name = "cpuTime"
-                value = getNanoValue(e, 'systemTime') + getNanoValue(e, 'userTime')
             else:
                 continue
 
@@ -145,7 +168,7 @@ raise TypeError(f"Unsupported JFR value type: {type(val)}")
         train_time_table = time_table("PT0.001S").tail(1)
 
         def train_ugp_update(update, is_replay):
-            train_ugp_times.append(time.perf_counter_ns())
+            train_ugp_times.append((time.perf_counter_ns(), ${mainTable}.size))
         
         train_ugp_listener = listen(train_time_table, train_ugp_update)
         """;
diff --git a/src/it/java/io/deephaven/benchmark/tests/train/UpdateByTrainTest.java b/src/it/java/io/deephaven/benchmark/tests/train/UpdateByTrainTest.java
index 956fb72c..cb9b679a 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/UpdateByTrainTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/UpdateByTrainTest.java
@@ -19,8 +19,8 @@ public class UpdateByTrainTest {
         prod_after = rolling_prod_time(ts_col='timestamp',cols=['E=num1','F=num2'],rev_time='-PT1M',fwd_time='PT4M')
         """;
 
-    void setup(double rowFactor) {
-        runner.tables(rowFactor, "timed");
+    void setup(double staticRowFactor, double incRowFactor) {
+        runner.tables(staticRowFactor, incRowFactor, "timed");
         var setup = """
         from deephaven.updateby import rolling_avg_time, rolling_max_tick, rolling_prod_time
         from deephaven.updateby import ema_tick, cum_min, cum_sum
@@ -34,7 +34,7 @@ void setup(double rowFactor) {
 
     @Test
     void mixedComboNoGroups() {
-        setup(21.8);
+        setup(21.8, 17);
         runner.addSetupQuery(noGroups);
         var q = "timed.update_by(ops=[avg_contains, max_before, prod_after, ema_tick_op, min_op, sum_op])";
         runner.test("UpdateBy- No Groups 12 Cols", 0, q, "num1", "num2", "timestamp");
@@ -42,7 +42,7 @@ void mixedComboNoGroups() {
 
     @Test
     void rollingCombo2Groups() {
-        setup(5.8);
+        setup(5.8, 4.2);
         runner.addSetupQuery(group10K);
         var q = """
         timed.update_by(ops=[avg_contains,max_before,prod_after,ema_tick_op,min_op,sum_op], by=['key1','key2'])

From 29389924f64c2b7c6b6ca3c788188b05a9119197 Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Wed, 22 Apr 2026 18:28:41 -0600
Subject: [PATCH 21/73] Better separation for running static and inc. Added ugp
 deltas

---
 .../tests/train/OrderedTrainTest.java         |  2 +-
 .../tests/train/TrainTestRunner.java          | 80 ++++++++++---------
 2 files changed, 45 insertions(+), 37 deletions(-)

diff --git a/src/it/java/io/deephaven/benchmark/tests/train/OrderedTrainTest.java b/src/it/java/io/deephaven/benchmark/tests/train/OrderedTrainTest.java
index 9f28a3f1..314de3c1 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/OrderedTrainTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/OrderedTrainTest.java
@@ -34,7 +34,7 @@ void ordered0Groups() {
 
     @Test
     void ordered2Groups() {
-        setup(22, 4);
+        setup(22, 4.2);
         var q = "timed.agg_by(aggs, by=['key1', 'key2'])";
         runner.test("Ordered- 2 Groups 10K Unique Combos", 10100, q, "key1", "key2", "key3", "key4", "num1", "num2");
     }
diff --git a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
index 370fd2ca..caaae81b 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
@@ -15,20 +15,15 @@
  */
 final public class TrainTestRunner {
     static final int maxRowFactor = 850;
-    final StandardTestRunner delegate;
-    final long baseRowCount;
+    final Object testInst;
     final List<String> setupQueries = new ArrayList<>();
     final List<String> teardownQueries = new ArrayList<>();
-    private String headQuery = null;
     private double staticRowFactor = 1;
     private double incRowFactor = 1;
+    private String[] tableNames = null;
 
     TrainTestRunner(Object testInst) {
-        this.delegate = new StandardTestRunner(testInst);
-        this.baseRowCount = delegate.getGeneratedRowCount();
-        delegate.useCachedSource(false);
-        delegate.useLocalParquet(true);
-        delegate.setRowFactor(maxRowFactor);
+        this.testInst = testInst;
     }
 
     public void tables(double staticRowFactor, double incRowFactor, String... names) {
@@ -36,8 +31,7 @@ public void tables(double staticRowFactor, double incRowFactor, String... names)
             throw new IllegalArgumentException("Row factors cannot be greater than " + maxRowFactor);
         this.staticRowFactor = staticRowFactor;
         this.incRowFactor = incRowFactor;
-        delegate.tables(names);
-        headQuery = "%s = %s.head(${trainRowCount})".formatted(names[0], names[0]);
+        tableNames = names;
     }
 
     public void addSetupQuery(String query) {
@@ -45,29 +39,40 @@ public void addSetupQuery(String query) {
     }
 
     public void test(String name, long maxExpectedRowCount, String operation, String... loadColumns) {
+        if (staticRowFactor <= 0 && incRowFactor <= 0)
+            throw new IllegalStateException("At least one of staticRowFactor or incRowFactor must be > 0");
+
         // setupQueries(startJfrQuery);
-        //setupQueries.add(startUgpQuery);
-        //teardownQueries.add(stopUgpQuery);
+        setupQueries.add(startUgpQuery);
+        teardownQueries.add(stopUgpQuery);
         // teardownQueries(stopJfrQuery);
-        if (staticRowFactor > 0) {
-            delegate.setScaleFactors(1, 0); // Turn on Static and off Inc
-            var h = headQuery.replace("${trainRowCount}", String.valueOf((long) (baseRowCount * staticRowFactor)));
-            delegate.addSetupQuery(h);
-            setupQueries.forEach(delegate::addSetupQuery);
-            teardownQueries.forEach(delegate::addTeardownQuery);
-            delegate.test(name, maxExpectedRowCount, operation, loadColumns);
-        }
-        if (incRowFactor > 0) {
-            delegate.setScaleFactors(0, 1); // Turn off Static and on Inc
-            var h = headQuery.replace("${trainRowCount}", String.valueOf((long) (baseRowCount * incRowFactor)));
-            delegate.addSetupQuery(h);
-            setupQueries.forEach(delegate::addSetupQuery);
-            teardownQueries.forEach(delegate::addTeardownQuery);
-            delegate.test(name, maxExpectedRowCount, operation, loadColumns);
-        } else {
-            throw new IllegalStateException("At least one of staticRowFactor or incRowFactor must be > 0");
-        }
 
+        if (staticRowFactor > 0)
+            test(name, maxExpectedRowCount, operation, staticRowFactor, true, loadColumns);
+
+        if (incRowFactor > 0)
+            test(name, maxExpectedRowCount, operation, incRowFactor, false, loadColumns);
+    }
+
+    void test(String name, long maxExpectedRowCount, String operation, double rowFactor, boolean isStatic,
+            String... loadColumns) {
+        var delegate = new StandardTestRunner(testInst);
+        var baseRowCount = delegate.getGeneratedRowCount();
+        delegate.useCachedSource(false);
+        delegate.useLocalParquet(true);
+        delegate.setRowFactor(maxRowFactor);
+        delegate.tables(tableNames);
+        delegate.setScaleFactors(isStatic ? 1 : 0, isStatic ? 0 : 1);
+
+        var headQuery = """
+        ${mainTable} = ${mainTable}.head(${trainRowCount})
+        loaded_tbl_size = ${mainTable}.size
+        """.replace("${trainRowCount}", String.valueOf((long) (baseRowCount * rowFactor)));
+        
+        delegate.addSetupQuery(headQuery);
+        setupQueries.forEach(delegate::addSetupQuery);
+        teardownQueries.forEach(delegate::addTeardownQuery);
+        delegate.test(name, maxExpectedRowCount, operation, loadColumns);
     }
 
     static final String startJfrQuery = """
@@ -164,7 +169,7 @@ raise TypeError(f"Unsupported JFR value type: {type(val)}")
 
         if 'train_ugp_listener' in globals(): train_ugp_listener.stop()
         train_wall_epoch_ns = time.time_ns()
-        train_ugp_times = [time.perf_counter_ns()]
+        train_ugp_times = [(time.perf_counter_ns(), 0)]
         train_time_table = time_table("PT0.001S").tail(1)
 
         def train_ugp_update(update, is_replay):
@@ -176,21 +181,24 @@ def train_ugp_update(update, is_replay):
     static final String stopUgpQuery = """
         if 'train_ugp_listener' in globals(): train_ugp_listener.stop()
         if len(train_ugp_times) > 1:
-            mono_start = train_ugp_times[0]
+            mono_start = train_ugp_times[0][0]
             ugp_rows = []
             for i in range(1, len(train_ugp_times)):
-                mono_prev = train_ugp_times[i - 1]
-                mono_curr = train_ugp_times[i]
+                mono_prev = train_ugp_times[i - 1][0]
+                mono_curr = train_ugp_times[i][0]
+                size_prev = train_ugp_times[i - 1][1]
+                size_curr = train_ugp_times[i][1]
                 delta_ns = mono_curr - mono_prev
                 wall_clock_ns = train_wall_epoch_ns + (mono_curr - mono_start)
-                ugp_rows.append([wall_clock_ns, delta_ns, mono_curr])
+                delta_rows = max(0, size_curr - size_prev)
+                ugp_rows.append([wall_clock_ns, delta_ns, delta_rows])
         
             ugp_events = new_table([
                 string_col("origin", ["deephaven-engine"] * len(ugp_rows)),
                 string_col("type", ["ugp.delta"] * len(ugp_rows)),
                 long_col("start_ns", [r[0] for r in ugp_rows]),
                 long_col("duration_ns", [r[1] for r in ugp_rows]),
-                string_col("name", ["elapsedTime"] * len(ugp_rows)),
+                string_col("name", ["duration_rows"] * len(ugp_rows)),
                 double_col("value", [float(r[2]) for r in ugp_rows]),
             ])
         

From 9b326e029286960728a45f5faa34e48951105553 Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Thu, 23 Apr 2026 16:29:34 -0600
Subject: [PATCH 22/73] turn on JFR metrics

---
 .../deephaven/benchmark/tests/train/TrainTestRunner.java  | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
index caaae81b..290e6580 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
@@ -42,10 +42,10 @@ public void test(String name, long maxExpectedRowCount, String operation, String
         if (staticRowFactor <= 0 && incRowFactor <= 0)
             throw new IllegalStateException("At least one of staticRowFactor or incRowFactor must be > 0");
 
-        // setupQueries(startJfrQuery);
-        setupQueries.add(startUgpQuery);
-        teardownQueries.add(stopUgpQuery);
-        // teardownQueries(stopJfrQuery);
+        setupQueries.add(startJfrQuery);
+        // setupQueries.add(startUgpQuery);
+        // teardownQueries.add(stopUgpQuery);
+        teardownQueries.add(stopJfrQuery);
 
         if (staticRowFactor > 0)
             test(name, maxExpectedRowCount, operation, staticRowFactor, true, loadColumns);

From 7fe14ccaf0d9616bd5110cb780eefe8a2014078f Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Thu, 23 Apr 2026 17:22:00 -0600
Subject: [PATCH 23/73] Turn off Inc runs

---
 .../io/deephaven/benchmark/tests/train/TrainTestRunner.java   | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
index 290e6580..4b70368a 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
@@ -50,8 +50,8 @@ public void test(String name, long maxExpectedRowCount, String operation, String
         if (staticRowFactor > 0)
             test(name, maxExpectedRowCount, operation, staticRowFactor, true, loadColumns);
 
-        if (incRowFactor > 0)
-            test(name, maxExpectedRowCount, operation, incRowFactor, false, loadColumns);
+//        if (incRowFactor > 0)
+//            test(name, maxExpectedRowCount, operation, incRowFactor, false, loadColumns);
     }
 
     void test(String name, long maxExpectedRowCount, String operation, double rowFactor, boolean isStatic,

From 5e1d59c531073d2a5c2f5475933b87122d48453a Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Tue, 5 May 2026 16:23:08 -0600
Subject: [PATCH 24/73] Added ss_log budget metric

---
 .../tests/standard/StandardTestRunner.java    |  2 +
 .../tests/train/TrainTestRunner.java          | 41 +++++++++++++------
 2 files changed, 31 insertions(+), 12 deletions(-)

diff --git a/src/it/java/io/deephaven/benchmark/tests/standard/StandardTestRunner.java b/src/it/java/io/deephaven/benchmark/tests/standard/StandardTestRunner.java
index 31388404..ed364fc2 100644
--- a/src/it/java/io/deephaven/benchmark/tests/standard/StandardTestRunner.java
+++ b/src/it/java/io/deephaven/benchmark/tests/standard/StandardTestRunner.java
@@ -348,6 +348,8 @@ String getIncQuery(String name, String operation, long rowCount, String... loadC
             long_col("end_clock_nanos", [end_clock]),
         ])
         ${teardownQueries}
+        print("STANDARD EVENTS: ", f'start_ns > {begin_clock}L', f'start_ns < {end_clock}L')
+        standard_events = standard_events.where([f'start_ns > {begin_clock}L', f'start_ns < {end_clock}L'])
         """;
         var read = getReadOperation(incFactor, rowCount, loadColumns);
         return populateQuery(name, incQuery, operation, read, loadColumns);
diff --git a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
index 4b70368a..374d6a23 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
@@ -43,15 +43,17 @@ public void test(String name, long maxExpectedRowCount, String operation, String
             throw new IllegalStateException("At least one of staticRowFactor or incRowFactor must be > 0");
 
         setupQueries.add(startJfrQuery);
-        // setupQueries.add(startUgpQuery);
-        // teardownQueries.add(stopUgpQuery);
+        setupQueries.add(startUgpQuery);
+        teardownQueries.add(stopUgpQuery);
         teardownQueries.add(stopJfrQuery);
+        
+        operation += "\ntrain_ugp_listener = listen(result, train_ugp_update)";
 
-        if (staticRowFactor > 0)
-            test(name, maxExpectedRowCount, operation, staticRowFactor, true, loadColumns);
+//        if (staticRowFactor > 0)
+//            test(name, maxExpectedRowCount, operation, staticRowFactor, true, loadColumns);
 
-//        if (incRowFactor > 0)
-//            test(name, maxExpectedRowCount, operation, incRowFactor, false, loadColumns);
+        if (incRowFactor > 0)
+            test(name, maxExpectedRowCount, operation, incRowFactor, false, loadColumns);
     }
 
     void test(String name, long maxExpectedRowCount, String operation, double rowFactor, boolean isStatic,
@@ -74,7 +76,7 @@ void test(String name, long maxExpectedRowCount, String operation, double rowFac
         teardownQueries.forEach(delegate::addTeardownQuery);
         delegate.test(name, maxExpectedRowCount, operation, loadColumns);
     }
-
+    
     static final String startJfrQuery = """
         import jpy
         Recording = jpy.get_type("jdk.jfr.Recording")
@@ -135,7 +137,7 @@ raise TypeError(f"Unsupported JFR value type: {type(val)}")
         for i in range(events.size()):
             e = events.get(i)
             etype = e.getEventType().getName()
-            start = e.getStartTime().getEpochSecond() * 1000000000 + e.getStartTime().getNano();
+            start = e.getStartTime().getEpochSecond() * 1000000000 + e.getStartTime().getNano()
 
             if etype == 'jdk.GarbageCollection':
                 duration = getNanoValue(e, 'duration')
@@ -163,19 +165,17 @@ raise TypeError(f"Unsupported JFR value type: {type(val)}")
         """;
 
     static final String startUgpQuery = """
-        from deephaven import time_table
+        from deephaven import time_table, perfmon
         from deephaven.table_listener import listen
         import time
 
+        ss_log = perfmon.server_state_log()
         if 'train_ugp_listener' in globals(): train_ugp_listener.stop()
         train_wall_epoch_ns = time.time_ns()
         train_ugp_times = [(time.perf_counter_ns(), 0)]
-        train_time_table = time_table("PT0.001S").tail(1)
 
         def train_ugp_update(update, is_replay):
             train_ugp_times.append((time.perf_counter_ns(), ${mainTable}.size))
-        
-        train_ugp_listener = listen(train_time_table, train_ugp_update)
         """;
 
     static final String stopUgpQuery = """
@@ -203,5 +203,22 @@ def train_ugp_update(update, is_replay):
             ])
         
             standard_events = merge([standard_events, ugp_events])
+        
+        ss_log = perfmon.server_state_log().snapshot()
+        if ss_log.size > 0:
+            ss_rows = []
+            for row in ss_log.iter_dict():
+                start = row['IntervalStartTime'].getEpochSecond() * 1000000000 + row['IntervalStartTime'].getNano()
+                ss_rows.append((start, row['IntervalCollectionTimeMicros'] * 1000, row['IntervalUGPCyclesOnBudget']))
+
+            ss_events = new_table([
+                string_col("origin", ["deephaven-engine"] * len(ss_rows)),
+                string_col("type", ["server_state_log"] * len(ss_rows)),
+                long_col("start_ns", [r[0] for r in ss_rows]),
+                long_col("duration_ns", [r[1] for r in ss_rows]),
+                string_col("name", ["cycles.on.budget"] * len(ss_rows)),
+                double_col("value", [r[2] for r in ss_rows]),
+            ])
+            standard_events = merge([standard_events, ss_events])
         """;
 }

From a1316d486ec24477a46677be8768528fe4f2f05c Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Wed, 6 May 2026 17:43:57 -0600
Subject: [PATCH 25/73] Added runner setting for auto tune cycle factor

---
 .../tests/standard/StandardTestRunner.java      | 17 +++++++++++++++--
 .../benchmark/tests/train/TrainTestRunner.java  |  2 ++
 2 files changed, 17 insertions(+), 2 deletions(-)

diff --git a/src/it/java/io/deephaven/benchmark/tests/standard/StandardTestRunner.java b/src/it/java/io/deephaven/benchmark/tests/standard/StandardTestRunner.java
index ed364fc2..a456a483 100644
--- a/src/it/java/io/deephaven/benchmark/tests/standard/StandardTestRunner.java
+++ b/src/it/java/io/deephaven/benchmark/tests/standard/StandardTestRunner.java
@@ -34,9 +34,10 @@ final public class StandardTestRunner {
     private String mainTable = "source";
     private Bench api;
     private Controller controller;
+    private int rowCountFactor = 1;
     private int staticFactor = 1;
     private int incFactor = 1;
-    private int rowCountFactor = 1;
+    private float incCycleFactor = 1.0f;
     private boolean useCachedSource = true;
     private boolean useLocalParquet = false;
 
@@ -179,6 +180,16 @@ public void setScaleFactors(int staticFactor, int incFactor) {
         this.incFactor = incFactor;
     }
 
+    /**
+     * Set the cycle factor used for the autotune incremental release filter. This is a fraction that controls how many
+     * rows the filter attempts to release per cycle compared to the ugp cycle time.
+     * 
+     * @param incCycleFactor the number of rows processed per cycle for the incremental release filter
+     */
+    public void setIncCycleFactor(float incCycleFactor) {
+        this.incCycleFactor = incCycleFactor;
+    }
+
     /**
      * Run a single operation test through the Bench API with no upper bound expected on the resulting row count
      * 
@@ -312,7 +323,7 @@ String getIncQuery(String name, String operation, long rowCount, String... loadC
         ${setupQueries}
         
         autotune = jpy.get_type('io.deephaven.engine.table.impl.select.AutoTuningIncrementalReleaseFilter')
-        source_filter = autotune(0, 1000000, 1.0, True)
+        source_filter = autotune(0, 1000000, ${incCycleFactor}, True)
         ${mainTable} = ${mainTable}.where(source_filter)
         if right: 
             right_filter = autotune(0, 1010000, 1.0, True)
@@ -365,6 +376,7 @@ String populateQuery(String name, String query, String operation, String read, S
         query = query.replace("${teardownQueries}", String.join("\n", teardownQueries));
         query = query.replace("${logOperationBegin}", getLogSnippet("Begin", name));
         query = query.replace("${logOperationEnd}", getLogSnippet("End", name));
+        query = query.replace("${incCycleFactor}", "" + incCycleFactor);
         query = query.replace("${mainTable}", mainTable);
         return query;
     }
@@ -393,6 +405,7 @@ Result runTest(String name, String warmupQuery, String mainQuery) {
                 metrics.set("static.factor", staticFactor);
                 metrics.set("inc.factor", incFactor);
                 metrics.set("row.factor", rowCountFactor);
+                metrics.set("inc.cycle.factor", incCycleFactor);
                 api.metrics().add(metrics);
             }).fetchAfter("standard_events", table -> {
                 api.events().add(table);
diff --git a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
index 374d6a23..25f46349 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
@@ -15,6 +15,7 @@
  */
 final public class TrainTestRunner {
     static final int maxRowFactor = 850;
+    static final float incCycleFactor = 0.95f;
     final Object testInst;
     final List<String> setupQueries = new ArrayList<>();
     final List<String> teardownQueries = new ArrayList<>();
@@ -65,6 +66,7 @@ void test(String name, long maxExpectedRowCount, String operation, double rowFac
         delegate.setRowFactor(maxRowFactor);
         delegate.tables(tableNames);
         delegate.setScaleFactors(isStatic ? 1 : 0, isStatic ? 0 : 1);
+        delegate.setIncCycleFactor(incCycleFactor);
 
         var headQuery = """
         ${mainTable} = ${mainTable}.head(${trainRowCount})

From af3d82b6a69985510ed703eb805bb9ef08a6319b Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Fri, 15 May 2026 17:54:24 -0600
Subject: [PATCH 26/73] G1 inc release max

---
 .../tests/standard/StandardTestRunner.java    | 27 ++++++-----
 .../tests/train/FilterTrainTest.java          |  2 +
 .../tests/train/NaturalJoinTrainTest.java     |  2 +
 .../tests/train/TrainTestRunner.java          | 45 ++++++++++++++-----
 .../io/deephaven/benchmark/api/Snippets.java  |  2 +
 5 files changed, 56 insertions(+), 22 deletions(-)

diff --git a/src/it/java/io/deephaven/benchmark/tests/standard/StandardTestRunner.java b/src/it/java/io/deephaven/benchmark/tests/standard/StandardTestRunner.java
index a456a483..5f3da6e5 100644
--- a/src/it/java/io/deephaven/benchmark/tests/standard/StandardTestRunner.java
+++ b/src/it/java/io/deephaven/benchmark/tests/standard/StandardTestRunner.java
@@ -37,9 +37,10 @@ final public class StandardTestRunner {
     private int rowCountFactor = 1;
     private int staticFactor = 1;
     private int incFactor = 1;
-    private float incCycleFactor = 1.0f;
     private boolean useCachedSource = true;
     private boolean useLocalParquet = false;
+    private float incCycleFactor = 1.0f;
+    private long incReleaseRowCount = 1000000;
 
     public StandardTestRunner(Object testInst) {
         this.testInst = testInst;
@@ -181,13 +182,15 @@ public void setScaleFactors(int staticFactor, int incFactor) {
     }
 
     /**
-     * Set the cycle factor used for the autotune incremental release filter. This is a fraction that controls how many
-     * rows the filter attempts to release per cycle compared to the ugp cycle time.
+     * Set the incremental release filter to use for the incremental test. By default, this is an auto-tuning release
+     * filter with a target cycle factor of 1.0f.
      * 
-     * @param incCycleFactor the number of rows processed per cycle for the incremental release filter
+     * @param cycleFactor if isAutoTune is true, the target cycle factor, otherwise ignored
+     * @param releaseRowsCount if isAutoTune is true, ignored, otherwise the number of rows to release per cycle
      */
-    public void setIncCycleFactor(float incCycleFactor) {
-        this.incCycleFactor = incCycleFactor;
+    public void setIncReleaseFilter(float cycleFactor, long releaseRowCount) {
+        this.incCycleFactor = cycleFactor;
+        this.incReleaseRowCount = releaseRowCount;
     }
 
     /**
@@ -322,11 +325,15 @@ String getIncQuery(String name, String operation, long rowCount, String... loadC
         loaded_tbl_size = ${mainTable}.size
         ${setupQueries}
         
-        autotune = jpy.get_type('io.deephaven.engine.table.impl.select.AutoTuningIncrementalReleaseFilter')
-        source_filter = autotune(0, 1000000, ${incCycleFactor}, True)
+        isat = System.getProperty('train.autotune', 'true').lower() == 'true' or ${incReleaseRowCount} <= 0
+        filter_name = 'AutoTuningIncrementalReleaseFilter' if isat else 'IncrementalReleaseFilter'
+        autotune = jpy.get_type(f'io.deephaven.engine.table.impl.select.{filter_name}')
+        print("******* ISAT:",isat, "FILTER:", filter_name)
+        
+        source_filter = autotune(0,1000000,${incCycleFactor},True) if isat else autotune(0,${incReleaseRowCount})
         ${mainTable} = ${mainTable}.where(source_filter)
         if right: 
-            right_filter = autotune(0, 1010000, 1.0, True)
+            right_filter = autotune(0,1010000,${incCycleFactor},True) if isat else autotune(0,${incReleaseRowCount})
             right = right.where(right_filter)
         
         ${preOpQueries}
@@ -377,6 +384,7 @@ String populateQuery(String name, String query, String operation, String read, S
         query = query.replace("${logOperationBegin}", getLogSnippet("Begin", name));
         query = query.replace("${logOperationEnd}", getLogSnippet("End", name));
         query = query.replace("${incCycleFactor}", "" + incCycleFactor);
+        query = query.replace("${incReleaseRowCount}", "" + incReleaseRowCount);
         query = query.replace("${mainTable}", mainTable);
         return query;
     }
@@ -405,7 +413,6 @@ Result runTest(String name, String warmupQuery, String mainQuery) {
                 metrics.set("static.factor", staticFactor);
                 metrics.set("inc.factor", incFactor);
                 metrics.set("row.factor", rowCountFactor);
-                metrics.set("inc.cycle.factor", incCycleFactor);
                 api.metrics().add(metrics);
             }).fetchAfter("standard_events", table -> {
                 api.events().add(table);
diff --git a/src/it/java/io/deephaven/benchmark/tests/train/FilterTrainTest.java b/src/it/java/io/deephaven/benchmark/tests/train/FilterTrainTest.java
index 9c106897..eacffb9c 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/FilterTrainTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/FilterTrainTest.java
@@ -26,6 +26,7 @@ void setup(double staticRowFactor, double incRowFactor) {
 
     @Test
     void filter2Cols() {
+        runner.setIncReleaseRowCount(130137642);
         setup(815, 815);
         var q = "timed.where_in(where_filter, cols=['key1 = set1']).where(['inRange(num1, 0, 100)'])";
         runner.test("Filter- 2 Cols", 0, q, "key1", "key2", "num1");
@@ -33,6 +34,7 @@ void filter2Cols() {
 
     @Test
     void filter3Cols() {
+        runner.setIncReleaseRowCount(55466962);
         setup(400, 400);
         var q = """
         timed.where_in(where_filter, cols=['key1 = set1', 'key2 = set2', 'key3 = set3']) \
diff --git a/src/it/java/io/deephaven/benchmark/tests/train/NaturalJoinTrainTest.java b/src/it/java/io/deephaven/benchmark/tests/train/NaturalJoinTrainTest.java
index 26ba8539..a843f973 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/NaturalJoinTrainTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/NaturalJoinTrainTest.java
@@ -16,6 +16,7 @@ void setup(double staticRowFactor, double incRowFactor) {
 
     @Test
     void naturalJoinOn1Col() {
+        runner.setIncReleaseRowCount(11326845);
         setup(230, 120);
         var r = "right = right.select_distinct(['r_wild'])";
         runner.addSetupQuery(r);
@@ -25,6 +26,7 @@ void naturalJoinOn1Col() {
     
     @Test
     void naturalJoinOn3Cols() {
+        runner.setIncReleaseRowCount(2018917);
         setup(100, 20);
         var q = "timed.natural_join(right, on=['key1 = r_wild', 'key2 = r_key2', 'key1 = r_key1'])";
         runner.test("NaturalJoin- Join On 3 Cols", 0, q, "key1", "key2", "num1");
diff --git a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
index 25f46349..967eed84 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
@@ -15,12 +15,13 @@
  */
 final public class TrainTestRunner {
     static final int maxRowFactor = 850;
-    static final float incCycleFactor = 0.95f;
+    static final float incCycleFactor = 1.0f;
     final Object testInst;
     final List<String> setupQueries = new ArrayList<>();
     final List<String> teardownQueries = new ArrayList<>();
     private double staticRowFactor = 1;
     private double incRowFactor = 1;
+    private long incReleaseRowCount = 0;
     private String[] tableNames = null;
 
     TrainTestRunner(Object testInst) {
@@ -39,6 +40,10 @@ public void addSetupQuery(String query) {
         setupQueries.add(query);
     }
 
+    public void setIncReleaseRowCount(long incReleaseRowCount) {
+        this.incReleaseRowCount = incReleaseRowCount;
+    }
+
     public void test(String name, long maxExpectedRowCount, String operation, String... loadColumns) {
         if (staticRowFactor <= 0 && incRowFactor <= 0)
             throw new IllegalStateException("At least one of staticRowFactor or incRowFactor must be > 0");
@@ -47,11 +52,11 @@ public void test(String name, long maxExpectedRowCount, String operation, String
         setupQueries.add(startUgpQuery);
         teardownQueries.add(stopUgpQuery);
         teardownQueries.add(stopJfrQuery);
-        
+
         operation += "\ntrain_ugp_listener = listen(result, train_ugp_update)";
 
-//        if (staticRowFactor > 0)
-//            test(name, maxExpectedRowCount, operation, staticRowFactor, true, loadColumns);
+        // if (staticRowFactor > 0)
+        // test(name, maxExpectedRowCount, operation, staticRowFactor, true, loadColumns);
 
         if (incRowFactor > 0)
             test(name, maxExpectedRowCount, operation, incRowFactor, false, loadColumns);
@@ -66,19 +71,19 @@ void test(String name, long maxExpectedRowCount, String operation, double rowFac
         delegate.setRowFactor(maxRowFactor);
         delegate.tables(tableNames);
         delegate.setScaleFactors(isStatic ? 1 : 0, isStatic ? 0 : 1);
-        delegate.setIncCycleFactor(incCycleFactor);
-
+        delegate.setIncReleaseFilter(incCycleFactor, incReleaseRowCount);
+        
         var headQuery = """
         ${mainTable} = ${mainTable}.head(${trainRowCount})
         loaded_tbl_size = ${mainTable}.size
         """.replace("${trainRowCount}", String.valueOf((long) (baseRowCount * rowFactor)));
-        
+
         delegate.addSetupQuery(headQuery);
         setupQueries.forEach(delegate::addSetupQuery);
         teardownQueries.forEach(delegate::addTeardownQuery);
         delegate.test(name, maxExpectedRowCount, operation, loadColumns);
     }
-    
+
     static final String startJfrQuery = """
         import jpy
         Recording = jpy.get_type("jdk.jfr.Recording")
@@ -174,10 +179,15 @@ raise TypeError(f"Unsupported JFR value type: {type(val)}")
         ss_log = perfmon.server_state_log()
         if 'train_ugp_listener' in globals(): train_ugp_listener.stop()
         train_wall_epoch_ns = time.time_ns()
-        train_ugp_times = [(time.perf_counter_ns(), 0)]
+        train_ugp_times = [(time.perf_counter_ns(), 0, 0)]
 
         def train_ugp_update(update, is_replay):
-            train_ugp_times.append((time.perf_counter_ns(), ${mainTable}.size))
+            inc_size = 0
+            if autotune:
+                m = source_filter.getClass().getDeclaredMethod('getSizeIncrement', [])
+                m.setAccessible(True)
+                inc_size = m.invoke(source_filter, [])
+            train_ugp_times.append((time.perf_counter_ns(), ${mainTable}.size, inc_size))
         """;
 
     static final String stopUgpQuery = """
@@ -190,10 +200,12 @@ def train_ugp_update(update, is_replay):
                 mono_curr = train_ugp_times[i][0]
                 size_prev = train_ugp_times[i - 1][1]
                 size_curr = train_ugp_times[i][1]
+                inc_size = train_ugp_times[i][2]
                 delta_ns = mono_curr - mono_prev
                 wall_clock_ns = train_wall_epoch_ns + (mono_curr - mono_start)
                 delta_rows = max(0, size_curr - size_prev)
-                ugp_rows.append([wall_clock_ns, delta_ns, delta_rows])
+                inc_rows = max(0, inc_size)
+                ugp_rows.append([wall_clock_ns, delta_ns, delta_rows, inc_rows])
         
             ugp_events = new_table([
                 string_col("origin", ["deephaven-engine"] * len(ugp_rows)),
@@ -203,8 +215,17 @@ def train_ugp_update(update, is_replay):
                 string_col("name", ["duration_rows"] * len(ugp_rows)),
                 double_col("value", [float(r[2]) for r in ugp_rows]),
             ])
+            
+            ugp_inc_events = new_table([
+                string_col("origin", ["deephaven-engine"] * len(ugp_rows)),
+                string_col("type", ["ugp.delta"] * len(ugp_rows)),
+                long_col("start_ns", [r[0] for r in ugp_rows]),
+                long_col("duration_ns", [r[1] for r in ugp_rows]),
+                string_col("name", ["autotune_rows"] * len(ugp_rows)),
+                double_col("value", [float(r[3]) for r in ugp_rows]),
+            ])
         
-            standard_events = merge([standard_events, ugp_events])
+            standard_events = merge([standard_events, ugp_events, ugp_inc_events])
         
         ss_log = perfmon.server_state_log().snapshot()
         if ss_log.size > 0:
diff --git a/src/main/java/io/deephaven/benchmark/api/Snippets.java b/src/main/java/io/deephaven/benchmark/api/Snippets.java
index b5f52bfc..0008f0d3 100644
--- a/src/main/java/io/deephaven/benchmark/api/Snippets.java
+++ b/src/main/java/io/deephaven/benchmark/api/Snippets.java
@@ -80,8 +80,10 @@ with exclusive_lock(table):
      * ex. bench_api_metrics_init()
      */
     static String bench_api_metrics_init = """
+        import jpy
         from deephaven import new_table
         from deephaven.column import string_col, long_col, double_col
+        System = jpy.get_type('java.lang.System')
         def bench_api_metrics_init():
             global bench_api_metrics, standard_events
             bench_api_metrics = []

From 28745a8aed20f7b55b663c64b1e327fc524dcbed Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Fri, 15 May 2026 20:47:28 -0600
Subject: [PATCH 27/73] ParallelGC inc release max

---
 .../io/deephaven/benchmark/tests/train/FilterTrainTest.java   | 4 ++--
 .../deephaven/benchmark/tests/train/NaturalJoinTrainTest.java | 4 ++--
 2 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/src/it/java/io/deephaven/benchmark/tests/train/FilterTrainTest.java b/src/it/java/io/deephaven/benchmark/tests/train/FilterTrainTest.java
index eacffb9c..71dd3f99 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/FilterTrainTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/FilterTrainTest.java
@@ -26,7 +26,7 @@ void setup(double staticRowFactor, double incRowFactor) {
 
     @Test
     void filter2Cols() {
-        runner.setIncReleaseRowCount(130137642);
+        runner.setIncReleaseRowCount(133608747);
         setup(815, 815);
         var q = "timed.where_in(where_filter, cols=['key1 = set1']).where(['inRange(num1, 0, 100)'])";
         runner.test("Filter- 2 Cols", 0, q, "key1", "key2", "num1");
@@ -34,7 +34,7 @@ void filter2Cols() {
 
     @Test
     void filter3Cols() {
-        runner.setIncReleaseRowCount(55466962);
+        runner.setIncReleaseRowCount(49190811);
         setup(400, 400);
         var q = """
         timed.where_in(where_filter, cols=['key1 = set1', 'key2 = set2', 'key3 = set3']) \
diff --git a/src/it/java/io/deephaven/benchmark/tests/train/NaturalJoinTrainTest.java b/src/it/java/io/deephaven/benchmark/tests/train/NaturalJoinTrainTest.java
index a843f973..b565a36f 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/NaturalJoinTrainTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/NaturalJoinTrainTest.java
@@ -16,7 +16,7 @@ void setup(double staticRowFactor, double incRowFactor) {
 
     @Test
     void naturalJoinOn1Col() {
-        runner.setIncReleaseRowCount(11326845);
+        runner.setIncReleaseRowCount(12098725);
         setup(230, 120);
         var r = "right = right.select_distinct(['r_wild'])";
         runner.addSetupQuery(r);
@@ -26,7 +26,7 @@ void naturalJoinOn1Col() {
     
     @Test
     void naturalJoinOn3Cols() {
-        runner.setIncReleaseRowCount(2018917);
+        runner.setIncReleaseRowCount(2293052);
         setup(100, 20);
         var q = "timed.natural_join(right, on=['key1 = r_wild', 'key2 = r_key2', 'key1 = r_key1'])";
         runner.test("NaturalJoin- Join On 3 Cols", 0, q, "key1", "key2", "num1");

From ac0c87fc3070afaacf41e47b27974f044108c42e Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Sat, 16 May 2026 12:07:23 -0600
Subject: [PATCH 28/73] Shenandoah GC inc release max

---
 .../io/deephaven/benchmark/tests/train/FilterTrainTest.java   | 4 ++--
 .../deephaven/benchmark/tests/train/NaturalJoinTrainTest.java | 4 ++--
 2 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/src/it/java/io/deephaven/benchmark/tests/train/FilterTrainTest.java b/src/it/java/io/deephaven/benchmark/tests/train/FilterTrainTest.java
index 71dd3f99..0dda9fb2 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/FilterTrainTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/FilterTrainTest.java
@@ -26,7 +26,7 @@ void setup(double staticRowFactor, double incRowFactor) {
 
     @Test
     void filter2Cols() {
-        runner.setIncReleaseRowCount(133608747);
+        runner.setIncReleaseRowCount(125952369);
         setup(815, 815);
         var q = "timed.where_in(where_filter, cols=['key1 = set1']).where(['inRange(num1, 0, 100)'])";
         runner.test("Filter- 2 Cols", 0, q, "key1", "key2", "num1");
@@ -34,7 +34,7 @@ void filter2Cols() {
 
     @Test
     void filter3Cols() {
-        runner.setIncReleaseRowCount(49190811);
+        runner.setIncReleaseRowCount(48978792);
         setup(400, 400);
         var q = """
         timed.where_in(where_filter, cols=['key1 = set1', 'key2 = set2', 'key3 = set3']) \
diff --git a/src/it/java/io/deephaven/benchmark/tests/train/NaturalJoinTrainTest.java b/src/it/java/io/deephaven/benchmark/tests/train/NaturalJoinTrainTest.java
index b565a36f..0b1ba8b1 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/NaturalJoinTrainTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/NaturalJoinTrainTest.java
@@ -16,7 +16,7 @@ void setup(double staticRowFactor, double incRowFactor) {
 
     @Test
     void naturalJoinOn1Col() {
-        runner.setIncReleaseRowCount(12098725);
+        runner.setIncReleaseRowCount(10182953);
         setup(230, 120);
         var r = "right = right.select_distinct(['r_wild'])";
         runner.addSetupQuery(r);
@@ -26,7 +26,7 @@ void naturalJoinOn1Col() {
     
     @Test
     void naturalJoinOn3Cols() {
-        runner.setIncReleaseRowCount(2293052);
+        runner.setIncReleaseRowCount(2290714);
         setup(100, 20);
         var q = "timed.natural_join(right, on=['key1 = r_wild', 'key2 = r_key2', 'key1 = r_key1'])";
         runner.test("NaturalJoin- Join On 3 Cols", 0, q, "key1", "key2", "num1");

From 9d630d9d527d63f2a78ac934a93f2eda31bf94c5 Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Sat, 16 May 2026 14:13:39 -0600
Subject: [PATCH 29/73] ZGC inc release max

---
 .../io/deephaven/benchmark/tests/train/FilterTrainTest.java   | 4 ++--
 .../deephaven/benchmark/tests/train/NaturalJoinTrainTest.java | 4 ++--
 2 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/src/it/java/io/deephaven/benchmark/tests/train/FilterTrainTest.java b/src/it/java/io/deephaven/benchmark/tests/train/FilterTrainTest.java
index 0dda9fb2..8051f867 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/FilterTrainTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/FilterTrainTest.java
@@ -26,7 +26,7 @@ void setup(double staticRowFactor, double incRowFactor) {
 
     @Test
     void filter2Cols() {
-        runner.setIncReleaseRowCount(125952369);
+        runner.setIncReleaseRowCount(69255608);
         setup(815, 815);
         var q = "timed.where_in(where_filter, cols=['key1 = set1']).where(['inRange(num1, 0, 100)'])";
         runner.test("Filter- 2 Cols", 0, q, "key1", "key2", "num1");
@@ -34,7 +34,7 @@ void filter2Cols() {
 
     @Test
     void filter3Cols() {
-        runner.setIncReleaseRowCount(48978792);
+        runner.setIncReleaseRowCount(37307516);
         setup(400, 400);
         var q = """
         timed.where_in(where_filter, cols=['key1 = set1', 'key2 = set2', 'key3 = set3']) \
diff --git a/src/it/java/io/deephaven/benchmark/tests/train/NaturalJoinTrainTest.java b/src/it/java/io/deephaven/benchmark/tests/train/NaturalJoinTrainTest.java
index 0b1ba8b1..1fd23e97 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/NaturalJoinTrainTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/NaturalJoinTrainTest.java
@@ -16,7 +16,7 @@ void setup(double staticRowFactor, double incRowFactor) {
 
     @Test
     void naturalJoinOn1Col() {
-        runner.setIncReleaseRowCount(10182953);
+        runner.setIncReleaseRowCount(10106284);
         setup(230, 120);
         var r = "right = right.select_distinct(['r_wild'])";
         runner.addSetupQuery(r);
@@ -26,7 +26,7 @@ void naturalJoinOn1Col() {
     
     @Test
     void naturalJoinOn3Cols() {
-        runner.setIncReleaseRowCount(2290714);
+        runner.setIncReleaseRowCount(2257056);
         setup(100, 20);
         var q = "timed.natural_join(right, on=['key1 = r_wild', 'key2 = r_key2', 'key1 = r_key1'])";
         runner.test("NaturalJoin- Join On 3 Cols", 0, q, "key1", "key2", "num1");

From dfa44df86cd14115656622329fc4afadb4e67be0 Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Sat, 16 May 2026 21:14:06 -0600
Subject: [PATCH 30/73] Inc release filter min

---
 .../io/deephaven/benchmark/tests/train/FilterTrainTest.java   | 4 ++--
 .../deephaven/benchmark/tests/train/NaturalJoinTrainTest.java | 4 ++--
 2 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/src/it/java/io/deephaven/benchmark/tests/train/FilterTrainTest.java b/src/it/java/io/deephaven/benchmark/tests/train/FilterTrainTest.java
index 8051f867..b84b8f44 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/FilterTrainTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/FilterTrainTest.java
@@ -26,7 +26,7 @@ void setup(double staticRowFactor, double incRowFactor) {
 
     @Test
     void filter2Cols() {
-        runner.setIncReleaseRowCount(69255608);
+        runner.setIncReleaseRowCount(66808754);
         setup(815, 815);
         var q = "timed.where_in(where_filter, cols=['key1 = set1']).where(['inRange(num1, 0, 100)'])";
         runner.test("Filter- 2 Cols", 0, q, "key1", "key2", "num1");
@@ -34,7 +34,7 @@ void filter2Cols() {
 
     @Test
     void filter3Cols() {
-        runner.setIncReleaseRowCount(37307516);
+        runner.setIncReleaseRowCount(36522009);
         setup(400, 400);
         var q = """
         timed.where_in(where_filter, cols=['key1 = set1', 'key2 = set2', 'key3 = set3']) \
diff --git a/src/it/java/io/deephaven/benchmark/tests/train/NaturalJoinTrainTest.java b/src/it/java/io/deephaven/benchmark/tests/train/NaturalJoinTrainTest.java
index 1fd23e97..cfd17e1c 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/NaturalJoinTrainTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/NaturalJoinTrainTest.java
@@ -16,7 +16,7 @@ void setup(double staticRowFactor, double incRowFactor) {
 
     @Test
     void naturalJoinOn1Col() {
-        runner.setIncReleaseRowCount(10106284);
+        runner.setIncReleaseRowCount(9666583);
         setup(230, 120);
         var r = "right = right.select_distinct(['r_wild'])";
         runner.addSetupQuery(r);
@@ -26,7 +26,7 @@ void naturalJoinOn1Col() {
     
     @Test
     void naturalJoinOn3Cols() {
-        runner.setIncReleaseRowCount(2257056);
+        runner.setIncReleaseRowCount(1937646);
         setup(100, 20);
         var q = "timed.natural_join(right, on=['key1 = r_wild', 'key2 = r_key2', 'key1 = r_key1'])";
         runner.test("NaturalJoin- Join On 3 Cols", 0, q, "key1", "key2", "num1");

From 3ab1845b0714e328a13f7ac256f70b56635802e5 Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Thu, 21 May 2026 17:48:34 -0600
Subject: [PATCH 31/73] Updated for 100ms cycle at 90% min

---
 .../benchmark/tests/train/FilterTrainTest.java         |  5 ++---
 .../benchmark/tests/train/NaturalJoinTrainTest.java    | 10 +++++-----
 .../benchmark/tests/train/TrainTestRunner.java         |  3 ++-
 3 files changed, 9 insertions(+), 9 deletions(-)

diff --git a/src/it/java/io/deephaven/benchmark/tests/train/FilterTrainTest.java b/src/it/java/io/deephaven/benchmark/tests/train/FilterTrainTest.java
index b84b8f44..483ae81d 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/FilterTrainTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/FilterTrainTest.java
@@ -7,7 +7,6 @@
  * Standard tests for the whereIn table operation. Filters rows of data from the source table where the rows match
  * column values in the filter table.
  */
-@Tag("Iterate")
 public class FilterTrainTest {
     final TrainTestRunner runner = new TrainTestRunner(this);
 
@@ -26,7 +25,7 @@ void setup(double staticRowFactor, double incRowFactor) {
 
     @Test
     void filter2Cols() {
-        runner.setIncReleaseRowCount(66808754);
+        runner.setIncReleaseRowCount(6776701);
         setup(815, 815);
         var q = "timed.where_in(where_filter, cols=['key1 = set1']).where(['inRange(num1, 0, 100)'])";
         runner.test("Filter- 2 Cols", 0, q, "key1", "key2", "num1");
@@ -34,7 +33,7 @@ void filter2Cols() {
 
     @Test
     void filter3Cols() {
-        runner.setIncReleaseRowCount(36522009);
+        runner.setIncReleaseRowCount(3468549);
         setup(400, 400);
         var q = """
         timed.where_in(where_filter, cols=['key1 = set1', 'key2 = set2', 'key3 = set3']) \
diff --git a/src/it/java/io/deephaven/benchmark/tests/train/NaturalJoinTrainTest.java b/src/it/java/io/deephaven/benchmark/tests/train/NaturalJoinTrainTest.java
index cfd17e1c..776944f4 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/NaturalJoinTrainTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/NaturalJoinTrainTest.java
@@ -4,8 +4,8 @@
 import org.junit.jupiter.api.*;
 
 /**
- * Training tests for the aggBy table operations that do joins (e.g. natural join). See
- * <code>TrainTestRunner</code> for more information.
+ * Training tests for the aggBy table operations that do joins (e.g. natural join). See <code>TrainTestRunner</code> for
+ * more information.
  */
 public class NaturalJoinTrainTest {
     final TrainTestRunner runner = new TrainTestRunner(this);
@@ -16,17 +16,17 @@ void setup(double staticRowFactor, double incRowFactor) {
 
     @Test
     void naturalJoinOn1Col() {
-        runner.setIncReleaseRowCount(9666583);
+        runner.setIncReleaseRowCount(448939);
         setup(230, 120);
         var r = "right = right.select_distinct(['r_wild'])";
         runner.addSetupQuery(r);
         var q = "timed.natural_join(right, on=['key1 = r_wild'])";
         runner.test("NaturalJoin- Join On 1 Col", 0, q, "key1", "num1");
     }
-    
+
     @Test
     void naturalJoinOn3Cols() {
-        runner.setIncReleaseRowCount(1937646);
+        runner.setIncReleaseRowCount(103428);
         setup(100, 20);
         var q = "timed.natural_join(right, on=['key1 = r_wild', 'key2 = r_key2', 'key1 = r_key1'])";
         runner.test("NaturalJoin- Join On 3 Cols", 0, q, "key1", "key2", "num1");
diff --git a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
index 967eed84..e8c139f2 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
@@ -16,6 +16,7 @@
 final public class TrainTestRunner {
     static final int maxRowFactor = 850;
     static final float incCycleFactor = 1.0f;
+    static final float incReleaseFactor = 0.90f;
     final Object testInst;
     final List<String> setupQueries = new ArrayList<>();
     final List<String> teardownQueries = new ArrayList<>();
@@ -71,7 +72,7 @@ void test(String name, long maxExpectedRowCount, String operation, double rowFac
         delegate.setRowFactor(maxRowFactor);
         delegate.tables(tableNames);
         delegate.setScaleFactors(isStatic ? 1 : 0, isStatic ? 0 : 1);
-        delegate.setIncReleaseFilter(incCycleFactor, incReleaseRowCount);
+        delegate.setIncReleaseFilter(incCycleFactor, (long)(incReleaseRowCount * incReleaseFactor));
         
         var headQuery = """
         ${mainTable} = ${mainTable}.head(${trainRowCount})

From e0e763f2f2a85a90f52764f6789abab40091e8f4 Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Thu, 28 May 2026 16:27:02 -0600
Subject: [PATCH 32/73] Added state log ugp times

---
 .../deephaven/benchmark/tests/train/TrainTestRunner.java   | 7 ++++---
 1 file changed, 4 insertions(+), 3 deletions(-)

diff --git a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
index e8c139f2..7cbe188b 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
@@ -228,19 +228,20 @@ def train_ugp_update(update, is_replay):
         
             standard_events = merge([standard_events, ugp_events, ugp_inc_events])
         
-        ss_log = perfmon.server_state_log().snapshot()
+        ss_log = perfmon.server_state_log().ungroup(["IntervalUGPCyclesTimeMicros"]).snapshot()
         if ss_log.size > 0:
             ss_rows = []
             for row in ss_log.iter_dict():
                 start = row['IntervalStartTime'].getEpochSecond() * 1000000000 + row['IntervalStartTime'].getNano()
-                ss_rows.append((start, row['IntervalCollectionTimeMicros'] * 1000, row['IntervalUGPCyclesOnBudget']))
+                ss_rows.append((start, row['IntervalCollectionTimeMicros'] * 1000, 
+                row['IntervalUGPCyclesTimeMicros'] * 1000))
 
             ss_events = new_table([
                 string_col("origin", ["deephaven-engine"] * len(ss_rows)),
                 string_col("type", ["server_state_log"] * len(ss_rows)),
                 long_col("start_ns", [r[0] for r in ss_rows]),
                 long_col("duration_ns", [r[1] for r in ss_rows]),
-                string_col("name", ["cycles.on.budget"] * len(ss_rows)),
+                string_col("name", ["ugp.cycle.time"] * len(ss_rows)),
                 double_col("value", [r[2] for r in ss_rows]),
             ])
             standard_events = merge([standard_events, ss_events])

From 4fd604a5285b61fe8c0997ae02136b58d15647b0 Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Thu, 28 May 2026 16:49:55 -0600
Subject: [PATCH 33/73] Pared down to two Filter/Nat tests

---
 .../java/io/deephaven/benchmark/tests/train/FilterTrainTest.java | 1 +
 .../io/deephaven/benchmark/tests/train/NaturalJoinTrainTest.java | 1 +
 2 files changed, 2 insertions(+)

diff --git a/src/it/java/io/deephaven/benchmark/tests/train/FilterTrainTest.java b/src/it/java/io/deephaven/benchmark/tests/train/FilterTrainTest.java
index 483ae81d..0ae53712 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/FilterTrainTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/FilterTrainTest.java
@@ -32,6 +32,7 @@ void filter2Cols() {
     }
 
     @Test
+    @Disabled
     void filter3Cols() {
         runner.setIncReleaseRowCount(3468549);
         setup(400, 400);
diff --git a/src/it/java/io/deephaven/benchmark/tests/train/NaturalJoinTrainTest.java b/src/it/java/io/deephaven/benchmark/tests/train/NaturalJoinTrainTest.java
index 776944f4..aede1cca 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/NaturalJoinTrainTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/NaturalJoinTrainTest.java
@@ -15,6 +15,7 @@ void setup(double staticRowFactor, double incRowFactor) {
     }
 
     @Test
+    @Disabled
     void naturalJoinOn1Col() {
         runner.setIncReleaseRowCount(448939);
         setup(230, 120);

From 07eacdf10e624d699b15af4f131cc8250f4b38a9 Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Fri, 29 May 2026 17:16:39 -0600
Subject: [PATCH 34/73] Scaled for 1 sec cycles

---
 .../io/deephaven/benchmark/tests/train/FilterTrainTest.java     | 2 +-
 .../deephaven/benchmark/tests/train/NaturalJoinTrainTest.java   | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/src/it/java/io/deephaven/benchmark/tests/train/FilterTrainTest.java b/src/it/java/io/deephaven/benchmark/tests/train/FilterTrainTest.java
index 0ae53712..4edf6df9 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/FilterTrainTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/FilterTrainTest.java
@@ -25,7 +25,7 @@ void setup(double staticRowFactor, double incRowFactor) {
 
     @Test
     void filter2Cols() {
-        runner.setIncReleaseRowCount(6776701);
+        runner.setIncReleaseRowCount(67767010);
         setup(815, 815);
         var q = "timed.where_in(where_filter, cols=['key1 = set1']).where(['inRange(num1, 0, 100)'])";
         runner.test("Filter- 2 Cols", 0, q, "key1", "key2", "num1");
diff --git a/src/it/java/io/deephaven/benchmark/tests/train/NaturalJoinTrainTest.java b/src/it/java/io/deephaven/benchmark/tests/train/NaturalJoinTrainTest.java
index aede1cca..2d070ae7 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/NaturalJoinTrainTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/NaturalJoinTrainTest.java
@@ -27,7 +27,7 @@ void naturalJoinOn1Col() {
 
     @Test
     void naturalJoinOn3Cols() {
-        runner.setIncReleaseRowCount(103428);
+        runner.setIncReleaseRowCount(10342800);
         setup(100, 20);
         var q = "timed.natural_join(right, on=['key1 = r_wild', 'key2 = r_key2', 'key1 = r_key1'])";
         runner.test("NaturalJoin- Join On 3 Cols", 0, q, "key1", "key2", "num1");

From 90e7153b5dd232f5c1a9d31d0a32965425cb3537 Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Mon, 1 Jun 2026 13:33:01 -0600
Subject: [PATCH 35/73] Set autotune to 90% target release

---
 .../io/deephaven/benchmark/tests/train/TrainTestRunner.java   | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
index 7cbe188b..4528e567 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
@@ -15,8 +15,8 @@
  */
 final public class TrainTestRunner {
     static final int maxRowFactor = 850;
-    static final float incCycleFactor = 1.0f;
-    static final float incReleaseFactor = 0.90f;
+    static final float incCycleFactor = 0.90f;
+    static final float incReleaseFactor = 1.0f;
     final Object testInst;
     final List<String> setupQueries = new ArrayList<>();
     final List<String> teardownQueries = new ArrayList<>();

From f18c994949dbb572db429188f5ada7a269500ef0 Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Mon, 1 Jun 2026 20:19:41 -0600
Subject: [PATCH 36/73] User JVM 25 for adhoc

---
 .github/resources/adhoc-benchmark-docker-compose.yml | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/.github/resources/adhoc-benchmark-docker-compose.yml b/.github/resources/adhoc-benchmark-docker-compose.yml
index 78a352f1..e83c6db9 100644
--- a/.github/resources/adhoc-benchmark-docker-compose.yml
+++ b/.github/resources/adhoc-benchmark-docker-compose.yml
@@ -1,12 +1,13 @@
 services:
   deephaven:
-    image: ${DOCKER_IMG}
+    image: ghcr.io/stanbrub/server:jvm25
     ports:
       - "${DEEPHAVEN_PORT:-10000}:10000"
     volumes:
       - ./data:/data
       - ./minio:/minio
     environment:
+      - "JAVA_OPTS=-XX:+UseG1GC"
       - "START_OPTS=-DAuthHandlers=io.deephaven.auth.AnonymousAuthenticationHandler ${CONFIG_OPTS}"
       - "DEEPHAVEN_HOST_OS_DIR=${ENV_DEEPHAVEN_HOST_OS_DIR}"
 

From 824060221650909cbd244a8406aabbfc285cf108 Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Wed, 3 Jun 2026 12:32:25 -0600
Subject: [PATCH 37/73] Added update listener cycle times instead of server
 state log ones

---
 .../tests/train/FilterTrainTest.java          |  2 +-
 .../tests/train/NaturalJoinTrainTest.java     |  2 +-
 .../tests/train/TrainTestRunner.java          | 27 +++++++++----------
 3 files changed, 15 insertions(+), 16 deletions(-)

diff --git a/src/it/java/io/deephaven/benchmark/tests/train/FilterTrainTest.java b/src/it/java/io/deephaven/benchmark/tests/train/FilterTrainTest.java
index 4edf6df9..d140f42e 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/FilterTrainTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/FilterTrainTest.java
@@ -25,7 +25,7 @@ void setup(double staticRowFactor, double incRowFactor) {
 
     @Test
     void filter2Cols() {
-        runner.setIncReleaseRowCount(67767010);
+        runner.setIncReleaseRowCount(6765468);
         setup(815, 815);
         var q = "timed.where_in(where_filter, cols=['key1 = set1']).where(['inRange(num1, 0, 100)'])";
         runner.test("Filter- 2 Cols", 0, q, "key1", "key2", "num1");
diff --git a/src/it/java/io/deephaven/benchmark/tests/train/NaturalJoinTrainTest.java b/src/it/java/io/deephaven/benchmark/tests/train/NaturalJoinTrainTest.java
index 2d070ae7..69f8ad76 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/NaturalJoinTrainTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/NaturalJoinTrainTest.java
@@ -27,7 +27,7 @@ void naturalJoinOn1Col() {
 
     @Test
     void naturalJoinOn3Cols() {
-        runner.setIncReleaseRowCount(10342800);
+        runner.setIncReleaseRowCount(104086);
         setup(100, 20);
         var q = "timed.natural_join(right, on=['key1 = r_wild', 'key2 = r_key2', 'key1 = r_key1'])";
         runner.test("NaturalJoin- Join On 3 Cols", 0, q, "key1", "key2", "num1");
diff --git a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
index 4528e567..de2c9b6b 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
@@ -183,12 +183,11 @@ raise TypeError(f"Unsupported JFR value type: {type(val)}")
         train_ugp_times = [(time.perf_counter_ns(), 0, 0)]
 
         def train_ugp_update(update, is_replay):
-            inc_size = 0
+            ugp_cycle_cost = 0
             if autotune:
-                m = source_filter.getClass().getDeclaredMethod('getSizeIncrement', [])
-                m.setAccessible(True)
-                inc_size = m.invoke(source_filter, [])
-            train_ugp_times.append((time.perf_counter_ns(), ${mainTable}.size, inc_size))
+                ug = update.table.update_graph.j_update_graph
+                ugp_cycle_cost = System.nanoTime() - ug.cycleStartNanoTime()
+            train_ugp_times.append((time.perf_counter_ns(), ${mainTable}.size, ugp_cycle_cost))
         """;
 
     static final String stopUgpQuery = """
@@ -201,12 +200,12 @@ def train_ugp_update(update, is_replay):
                 mono_curr = train_ugp_times[i][0]
                 size_prev = train_ugp_times[i - 1][1]
                 size_curr = train_ugp_times[i][1]
-                inc_size = train_ugp_times[i][2]
+                ugp_cycle_cost = train_ugp_times[i][2]
                 delta_ns = mono_curr - mono_prev
                 wall_clock_ns = train_wall_epoch_ns + (mono_curr - mono_start)
                 delta_rows = max(0, size_curr - size_prev)
-                inc_rows = max(0, inc_size)
-                ugp_rows.append([wall_clock_ns, delta_ns, delta_rows, inc_rows])
+                ugp_cycle_cost = max(0, ugp_cycle_cost)
+                ugp_rows.append([wall_clock_ns, delta_ns, delta_rows, ugp_cycle_cost])
         
             ugp_events = new_table([
                 string_col("origin", ["deephaven-engine"] * len(ugp_rows)),
@@ -217,16 +216,16 @@ def train_ugp_update(update, is_replay):
                 double_col("value", [float(r[2]) for r in ugp_rows]),
             ])
             
-            ugp_inc_events = new_table([
+            ugp_cycle_events = new_table([
                 string_col("origin", ["deephaven-engine"] * len(ugp_rows)),
-                string_col("type", ["ugp.delta"] * len(ugp_rows)),
+                string_col("type", ["ugp.cycle.cost"] * len(ugp_rows)),
                 long_col("start_ns", [r[0] for r in ugp_rows]),
-                long_col("duration_ns", [r[1] for r in ugp_rows]),
-                string_col("name", ["autotune_rows"] * len(ugp_rows)),
-                double_col("value", [float(r[3]) for r in ugp_rows]),
+                long_col("duration_ns", [r[3] for r in ugp_rows]),
+                string_col("name", ["duration_rows"] * len(ugp_rows)),
+                double_col("value", [float(r[2]) for r in ugp_rows]),
             ])
         
-            standard_events = merge([standard_events, ugp_events, ugp_inc_events])
+            standard_events = merge([standard_events, ugp_events, ugp_cycle_events])
         
         ss_log = perfmon.server_state_log().ungroup(["IntervalUGPCyclesTimeMicros"]).snapshot()
         if ss_log.size > 0:

From 9951735e6d4e43a38dbea93cd16b005236e6aadf Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Wed, 3 Jun 2026 12:35:56 -0600
Subject: [PATCH 38/73] Set 20% inc release

---
 .../io/deephaven/benchmark/tests/train/TrainTestRunner.java     | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
index de2c9b6b..a6a8e40d 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
@@ -16,7 +16,7 @@
 final public class TrainTestRunner {
     static final int maxRowFactor = 850;
     static final float incCycleFactor = 0.90f;
-    static final float incReleaseFactor = 1.0f;
+    static final float incReleaseFactor = 0.20f;
     final Object testInst;
     final List<String> setupQueries = new ArrayList<>();
     final List<String> teardownQueries = new ArrayList<>();

From 7c18a2c444c4c7a2f49af04e2a30b576a5b233df Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Wed, 3 Jun 2026 17:04:33 -0600
Subject: [PATCH 39/73] Change inc release to 40%

---
 .../io/deephaven/benchmark/tests/train/TrainTestRunner.java     | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
index a6a8e40d..2e5ab010 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
@@ -16,7 +16,7 @@
 final public class TrainTestRunner {
     static final int maxRowFactor = 850;
     static final float incCycleFactor = 0.90f;
-    static final float incReleaseFactor = 0.20f;
+    static final float incReleaseFactor = 0.40f;
     final Object testInst;
     final List<String> setupQueries = new ArrayList<>();
     final List<String> teardownQueries = new ArrayList<>();

From ce992b3d3b3cfb2caf99a56e97cdf88ce799e3c3 Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Wed, 3 Jun 2026 20:43:27 -0600
Subject: [PATCH 40/73] Change inc release to 60%

---
 .../io/deephaven/benchmark/tests/train/TrainTestRunner.java     | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
index 2e5ab010..9feafde6 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
@@ -16,7 +16,7 @@
 final public class TrainTestRunner {
     static final int maxRowFactor = 850;
     static final float incCycleFactor = 0.90f;
-    static final float incReleaseFactor = 0.40f;
+    static final float incReleaseFactor = 0.60f;
     final Object testInst;
     final List<String> setupQueries = new ArrayList<>();
     final List<String> teardownQueries = new ArrayList<>();

From fcde3fa8d7e8bb61d2b27259fe995f45b58f34af Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Wed, 3 Jun 2026 22:02:01 -0600
Subject: [PATCH 41/73] Change inc release to 80%

---
 .../io/deephaven/benchmark/tests/train/TrainTestRunner.java     | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
index 9feafde6..05e6b0c7 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
@@ -16,7 +16,7 @@
 final public class TrainTestRunner {
     static final int maxRowFactor = 850;
     static final float incCycleFactor = 0.90f;
-    static final float incReleaseFactor = 0.60f;
+    static final float incReleaseFactor = 0.80f;
     final Object testInst;
     final List<String> setupQueries = new ArrayList<>();
     final List<String> teardownQueries = new ArrayList<>();

From ff2795a2b7a354c846c95f1b78f6b026b203b2e5 Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Thu, 4 Jun 2026 08:17:51 -0600
Subject: [PATCH 42/73] Change inc release to 100%

---
 .../io/deephaven/benchmark/tests/train/TrainTestRunner.java     | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
index 05e6b0c7..de2c9b6b 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
@@ -16,7 +16,7 @@
 final public class TrainTestRunner {
     static final int maxRowFactor = 850;
     static final float incCycleFactor = 0.90f;
-    static final float incReleaseFactor = 0.80f;
+    static final float incReleaseFactor = 1.0f;
     final Object testInst;
     final List<String> setupQueries = new ArrayList<>();
     final List<String> teardownQueries = new ArrayList<>();

From 60839deee2b3e9c07de410dbaaec19914af96360 Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Thu, 4 Jun 2026 13:40:36 -0600
Subject: [PATCH 43/73] Run 50ms against zfc

---
 .../io/deephaven/benchmark/tests/train/FilterTrainTest.java   | 2 +-
 .../deephaven/benchmark/tests/train/NaturalJoinTrainTest.java | 2 +-
 .../io/deephaven/benchmark/tests/train/TrainTestRunner.java   | 4 ++--
 3 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/src/it/java/io/deephaven/benchmark/tests/train/FilterTrainTest.java b/src/it/java/io/deephaven/benchmark/tests/train/FilterTrainTest.java
index d140f42e..5ea2c51e 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/FilterTrainTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/FilterTrainTest.java
@@ -25,7 +25,7 @@ void setup(double staticRowFactor, double incRowFactor) {
 
     @Test
     void filter2Cols() {
-        runner.setIncReleaseRowCount(6765468);
+        runner.setIncReleaseRowCount(3382734);
         setup(815, 815);
         var q = "timed.where_in(where_filter, cols=['key1 = set1']).where(['inRange(num1, 0, 100)'])";
         runner.test("Filter- 2 Cols", 0, q, "key1", "key2", "num1");
diff --git a/src/it/java/io/deephaven/benchmark/tests/train/NaturalJoinTrainTest.java b/src/it/java/io/deephaven/benchmark/tests/train/NaturalJoinTrainTest.java
index 69f8ad76..eb2559f4 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/NaturalJoinTrainTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/NaturalJoinTrainTest.java
@@ -27,7 +27,7 @@ void naturalJoinOn1Col() {
 
     @Test
     void naturalJoinOn3Cols() {
-        runner.setIncReleaseRowCount(104086);
+        runner.setIncReleaseRowCount(52043);
         setup(100, 20);
         var q = "timed.natural_join(right, on=['key1 = r_wild', 'key2 = r_key2', 'key1 = r_key1'])";
         runner.test("NaturalJoin- Join On 3 Cols", 0, q, "key1", "key2", "num1");
diff --git a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
index de2c9b6b..7b28688d 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
@@ -16,7 +16,7 @@
 final public class TrainTestRunner {
     static final int maxRowFactor = 850;
     static final float incCycleFactor = 0.90f;
-    static final float incReleaseFactor = 1.0f;
+    static final double incReleaseFactor = 0.20f;
     final Object testInst;
     final List<String> setupQueries = new ArrayList<>();
     final List<String> teardownQueries = new ArrayList<>();
@@ -69,7 +69,7 @@ void test(String name, long maxExpectedRowCount, String operation, double rowFac
         var baseRowCount = delegate.getGeneratedRowCount();
         delegate.useCachedSource(false);
         delegate.useLocalParquet(true);
-        delegate.setRowFactor(maxRowFactor);
+        delegate.setRowFactor((int)(maxRowFactor * incReleaseFactor));
         delegate.tables(tableNames);
         delegate.setScaleFactors(isStatic ? 1 : 0, isStatic ? 0 : 1);
         delegate.setIncReleaseFilter(incCycleFactor, (long)(incReleaseRowCount * incReleaseFactor));

From d18049ce84358117496eceb2cd6b926f7b336eab Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Thu, 4 Jun 2026 14:37:32 -0600
Subject: [PATCH 44/73] Make release filter table smaller based on inc release
 factor

---
 .../io/deephaven/benchmark/tests/train/TrainTestRunner.java   | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
index 7b28688d..baa5b9a7 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
@@ -69,7 +69,7 @@ void test(String name, long maxExpectedRowCount, String operation, double rowFac
         var baseRowCount = delegate.getGeneratedRowCount();
         delegate.useCachedSource(false);
         delegate.useLocalParquet(true);
-        delegate.setRowFactor((int)(maxRowFactor * incReleaseFactor));
+        delegate.setRowFactor(maxRowFactor);
         delegate.tables(tableNames);
         delegate.setScaleFactors(isStatic ? 1 : 0, isStatic ? 0 : 1);
         delegate.setIncReleaseFilter(incCycleFactor, (long)(incReleaseRowCount * incReleaseFactor));
@@ -77,7 +77,7 @@ void test(String name, long maxExpectedRowCount, String operation, double rowFac
         var headQuery = """
         ${mainTable} = ${mainTable}.head(${trainRowCount})
         loaded_tbl_size = ${mainTable}.size
-        """.replace("${trainRowCount}", String.valueOf((long) (baseRowCount * rowFactor)));
+        """.replace("${trainRowCount}", String.valueOf((long) (baseRowCount * rowFactor * incReleaseFactor)));
 
         delegate.addSetupQuery(headQuery);
         setupQueries.forEach(delegate::addSetupQuery);

From c43719ab137e4a4903505fea766e3b848712e706 Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Thu, 4 Jun 2026 15:20:59 -0600
Subject: [PATCH 45/73] Change inc release to 40%

---
 .../io/deephaven/benchmark/tests/train/TrainTestRunner.java     | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
index baa5b9a7..a9ff3eed 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
@@ -16,7 +16,7 @@
 final public class TrainTestRunner {
     static final int maxRowFactor = 850;
     static final float incCycleFactor = 0.90f;
-    static final double incReleaseFactor = 0.20f;
+    static final double incReleaseFactor = 0.40f;
     final Object testInst;
     final List<String> setupQueries = new ArrayList<>();
     final List<String> teardownQueries = new ArrayList<>();

From 45d5314910f071da2f78b2901f719f7d61e02532 Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Thu, 4 Jun 2026 15:21:37 -0600
Subject: [PATCH 46/73] Change inc release to 20%

---
 .../io/deephaven/benchmark/tests/train/TrainTestRunner.java     | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
index a9ff3eed..baa5b9a7 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
@@ -16,7 +16,7 @@
 final public class TrainTestRunner {
     static final int maxRowFactor = 850;
     static final float incCycleFactor = 0.90f;
-    static final double incReleaseFactor = 0.40f;
+    static final double incReleaseFactor = 0.20f;
     final Object testInst;
     final List<String> setupQueries = new ArrayList<>();
     final List<String> teardownQueries = new ArrayList<>();

From 36b1e83c8d5ba9dc2d989506dfcd3f51c4d0a648 Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Thu, 4 Jun 2026 15:33:15 -0600
Subject: [PATCH 47/73] Change inc release to 40%

---
 .../io/deephaven/benchmark/tests/train/TrainTestRunner.java     | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
index baa5b9a7..a9ff3eed 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
@@ -16,7 +16,7 @@
 final public class TrainTestRunner {
     static final int maxRowFactor = 850;
     static final float incCycleFactor = 0.90f;
-    static final double incReleaseFactor = 0.20f;
+    static final double incReleaseFactor = 0.40f;
     final Object testInst;
     final List<String> setupQueries = new ArrayList<>();
     final List<String> teardownQueries = new ArrayList<>();

From d4e02551d2d686a30de62e264183fd165045cee1 Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Thu, 4 Jun 2026 16:33:28 -0600
Subject: [PATCH 48/73] Change inc release to 60%

---
 .../io/deephaven/benchmark/tests/train/TrainTestRunner.java     | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
index a9ff3eed..39e3e9d7 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
@@ -16,7 +16,7 @@
 final public class TrainTestRunner {
     static final int maxRowFactor = 850;
     static final float incCycleFactor = 0.90f;
-    static final double incReleaseFactor = 0.40f;
+    static final double incReleaseFactor = 0.60f;
     final Object testInst;
     final List<String> setupQueries = new ArrayList<>();
     final List<String> teardownQueries = new ArrayList<>();

From 1b351a5d1dba34c1ba0d4b1cf997ea7c31997fe2 Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Thu, 4 Jun 2026 17:32:02 -0600
Subject: [PATCH 49/73] Change inc release to 80%

---
 .../io/deephaven/benchmark/tests/train/TrainTestRunner.java     | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
index 39e3e9d7..7b9d3a9a 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
@@ -16,7 +16,7 @@
 final public class TrainTestRunner {
     static final int maxRowFactor = 850;
     static final float incCycleFactor = 0.90f;
-    static final double incReleaseFactor = 0.60f;
+    static final double incReleaseFactor = 0.80f;
     final Object testInst;
     final List<String> setupQueries = new ArrayList<>();
     final List<String> teardownQueries = new ArrayList<>();

From 4f4124a05016d2e3162f42d9957f1c76b2f0b669 Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Thu, 4 Jun 2026 18:42:54 -0600
Subject: [PATCH 50/73] Change inc release to 100%

---
 .../io/deephaven/benchmark/tests/train/TrainTestRunner.java     | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
index 7b9d3a9a..0a37ac68 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
@@ -16,7 +16,7 @@
 final public class TrainTestRunner {
     static final int maxRowFactor = 850;
     static final float incCycleFactor = 0.90f;
-    static final double incReleaseFactor = 0.80f;
+    static final double incReleaseFactor = 1.0f;
     final Object testInst;
     final List<String> setupQueries = new ArrayList<>();
     final List<String> teardownQueries = new ArrayList<>();

From 11dbba70ff997668508daaadce78defb4b0f60de Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Fri, 5 Jun 2026 12:23:45 -0600
Subject: [PATCH 51/73] Scale for Java 25

---
 .../tests/standard/kafka/KafkaTestRunner.java |  38 ++
 .../benchmark/tests/train/AggByTrainTest.java |   1 +
 .../tests/train/FilterTrainTest.java          |   4 +-
 .../tests/train/FormulaTrainTest.java         |   1 +
 .../tests/train/OrderedTrainTest.java         |   3 +-
 .../tests/train/TrainTestRunner.java          |  22 +-
 .../tests/train/UpdateByTrainTest.java        |   3 +-
 .../dashboards/benchmark_functions.dh.py      |   7 +-
 .../queries/dashboards/gc_dashboard.dh.py     | 336 ++++++++++++++++++
 9 files changed, 399 insertions(+), 16 deletions(-)
 create mode 100644 src/main/resources/io/deephaven/benchmark/run/profile/queries/dashboards/gc_dashboard.dh.py

diff --git a/src/it/java/io/deephaven/benchmark/tests/standard/kafka/KafkaTestRunner.java b/src/it/java/io/deephaven/benchmark/tests/standard/kafka/KafkaTestRunner.java
index c919f852..545f4d04 100644
--- a/src/it/java/io/deephaven/benchmark/tests/standard/kafka/KafkaTestRunner.java
+++ b/src/it/java/io/deephaven/benchmark/tests/standard/kafka/KafkaTestRunner.java
@@ -154,6 +154,7 @@ void runTest(String operation, String tableType) {
             }).fetchAfter("standard_metrics", table -> {
                 api.metrics().add(table);
             }).execute();
+            shutdownConsumer();
         } finally {
             addDockerLog(api);
         }
@@ -202,6 +203,43 @@ private String getResultTableSize(String operation) {
         return "result.size";
     }
     
+    /**
+     * Shut down the Kafka consumer and derived tables in the current session after the test completes.
+     * This must run in the same session that created the consumer, since a new session cannot access
+     * the previous session's variables. Without this, the old consumer (e.g. JSON) stays alive and
+     * reads data generated by the next test (e.g. Protobuf), causing deserialization errors.
+     * <p/>
+     * Simply calling {@code j_table.close()} is not enough because the underlying {@code KafkaIngester}
+     * runs its own consumer loop thread. Dropping the table from the liveness scope triggers the
+     * ingester's shutdown and stops the polling thread.
+     */
+    private void shutdownConsumer() {
+        var query = """
+        import time, jpy
+        from deephaven import garbage_collect
+
+        LivenessScopeStack = jpy.get_type('io.deephaven.engine.liveness.LivenessScopeStack')
+
+        if 'result' in dir() and result is not None:
+            try:
+                LivenessScopeStack.peek().release(result.j_table)
+            except Exception:
+                pass
+        result = None
+
+        if 'consumer_tbl' in dir() and consumer_tbl is not None:
+            try:
+                LivenessScopeStack.peek().release(consumer_tbl.j_table)
+            except Exception:
+                pass
+        consumer_tbl = None
+
+        garbage_collect()
+        time.sleep(1)
+        """;
+        api.query(query).execute();
+    }
+
     private void addDockerLog(Bench api) {
         var timer = api.timer();
         var logText = controller.getLog();
diff --git a/src/it/java/io/deephaven/benchmark/tests/train/AggByTrainTest.java b/src/it/java/io/deephaven/benchmark/tests/train/AggByTrainTest.java
index 57e38894..5d9bd4f5 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/AggByTrainTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/AggByTrainTest.java
@@ -25,6 +25,7 @@ void setup(double staticRowFactor, double incRowFactor) {
     }
 
     @Test
+    @Disabled
     void aggBy0Groups() {
         setup(572, 286);
         var q = "timed.agg_by(aggs)";
diff --git a/src/it/java/io/deephaven/benchmark/tests/train/FilterTrainTest.java b/src/it/java/io/deephaven/benchmark/tests/train/FilterTrainTest.java
index 5ea2c51e..23d2852d 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/FilterTrainTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/FilterTrainTest.java
@@ -24,6 +24,7 @@ void setup(double staticRowFactor, double incRowFactor) {
     }
 
     @Test
+    @Disabled
     void filter2Cols() {
         runner.setIncReleaseRowCount(3382734);
         setup(815, 815);
@@ -32,10 +33,9 @@ void filter2Cols() {
     }
 
     @Test
-    @Disabled
     void filter3Cols() {
         runner.setIncReleaseRowCount(3468549);
-        setup(400, 400);
+        setup(248, 248);
         var q = """
         timed.where_in(where_filter, cols=['key1 = set1', 'key2 = set2', 'key3 = set3']) \
             .where(filters=["key1 = '1'", 'inRange(num1, 0, 100)', 'key3 in -2, -1, 0, 1, 2'])
diff --git a/src/it/java/io/deephaven/benchmark/tests/train/FormulaTrainTest.java b/src/it/java/io/deephaven/benchmark/tests/train/FormulaTrainTest.java
index d6976e45..c136c639 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/FormulaTrainTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/FormulaTrainTest.java
@@ -36,6 +36,7 @@ void formulaInline() {
     }
     
     @Test
+    @Disabled
     void formulaDate() {
         setup(3, 3);
         var q = """
diff --git a/src/it/java/io/deephaven/benchmark/tests/train/OrderedTrainTest.java b/src/it/java/io/deephaven/benchmark/tests/train/OrderedTrainTest.java
index 314de3c1..961f1c5d 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/OrderedTrainTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/OrderedTrainTest.java
@@ -26,6 +26,7 @@ void setup(double staticRowFactor, double incRowFactor) {
     }
 
     @Test
+    @Disabled
     void ordered0Groups() {
         setup(145, 18);
         var q = "timed.agg_by(aggs)";
@@ -34,7 +35,7 @@ void ordered0Groups() {
 
     @Test
     void ordered2Groups() {
-        setup(22, 4.2);
+        setup(30, 5.7);
         var q = "timed.agg_by(aggs, by=['key1', 'key2'])";
         runner.test("Ordered- 2 Groups 10K Unique Combos", 10100, q, "key1", "key2", "key3", "key4", "num1", "num2");
     }
diff --git a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
index 0a37ac68..39292de1 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
@@ -14,8 +14,8 @@
  * versions and GC types.
  */
 final public class TrainTestRunner {
-    static final int maxRowFactor = 850;
-    static final float incCycleFactor = 0.90f;
+    static final int maxRowFactor = 470;
+    static final float incCycleFactor = 1.0f;
     static final double incReleaseFactor = 1.0f;
     final Object testInst;
     final List<String> setupQueries = new ArrayList<>();
@@ -50,17 +50,17 @@ public void test(String name, long maxExpectedRowCount, String operation, String
             throw new IllegalStateException("At least one of staticRowFactor or incRowFactor must be > 0");
 
         setupQueries.add(startJfrQuery);
-        setupQueries.add(startUgpQuery);
-        teardownQueries.add(stopUgpQuery);
         teardownQueries.add(stopJfrQuery);
 
-        operation += "\ntrain_ugp_listener = listen(result, train_ugp_update)";
+        if (staticRowFactor > 0)
+            test(name, maxExpectedRowCount, operation, staticRowFactor, true, loadColumns);
 
-        // if (staticRowFactor > 0)
-        // test(name, maxExpectedRowCount, operation, staticRowFactor, true, loadColumns);
-
-        if (incRowFactor > 0)
+        if (incRowFactor > 0) {
+            setupQueries.add(startUgpQuery);
+            teardownQueries.add(stopUgpQuery);
+            operation += "\ntrain_ugp_listener = listen(result, train_ugp_update)";
             test(name, maxExpectedRowCount, operation, incRowFactor, false, loadColumns);
+        }
     }
 
     void test(String name, long maxExpectedRowCount, String operation, double rowFactor, boolean isStatic,
@@ -72,8 +72,8 @@ void test(String name, long maxExpectedRowCount, String operation, double rowFac
         delegate.setRowFactor(maxRowFactor);
         delegate.tables(tableNames);
         delegate.setScaleFactors(isStatic ? 1 : 0, isStatic ? 0 : 1);
-        delegate.setIncReleaseFilter(incCycleFactor, (long)(incReleaseRowCount * incReleaseFactor));
-        
+        delegate.setIncReleaseFilter(incCycleFactor, (long) (incReleaseRowCount * incReleaseFactor));
+
         var headQuery = """
         ${mainTable} = ${mainTable}.head(${trainRowCount})
         loaded_tbl_size = ${mainTable}.size
diff --git a/src/it/java/io/deephaven/benchmark/tests/train/UpdateByTrainTest.java b/src/it/java/io/deephaven/benchmark/tests/train/UpdateByTrainTest.java
index cb9b679a..e1b45e9b 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/UpdateByTrainTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/UpdateByTrainTest.java
@@ -33,6 +33,7 @@ void setup(double staticRowFactor, double incRowFactor) {
     }
 
     @Test
+    @Disabled
     void mixedComboNoGroups() {
         setup(21.8, 17);
         runner.addSetupQuery(noGroups);
@@ -42,7 +43,7 @@ void mixedComboNoGroups() {
 
     @Test
     void rollingCombo2Groups() {
-        setup(5.8, 4.2);
+        setup(9, 4.5);
         runner.addSetupQuery(group10K);
         var q = """
         timed.update_by(ops=[avg_contains,max_before,prod_after,ema_tick_op,min_op,sum_op], by=['key1','key2'])
diff --git a/src/main/resources/io/deephaven/benchmark/run/profile/queries/dashboards/benchmark_functions.dh.py b/src/main/resources/io/deephaven/benchmark/run/profile/queries/dashboards/benchmark_functions.dh.py
index 071e2f8f..5af16c5f 100644
--- a/src/main/resources/io/deephaven/benchmark/run/profile/queries/dashboards/benchmark_functions.dh.py
+++ b/src/main/resources/io/deephaven/benchmark/run/profile/queries/dashboards/benchmark_functions.dh.py
@@ -125,7 +125,7 @@ def convert_metric(table):
         
 # Do any conversions of type or column name needed from benchmark-events.csv
 def convert_event(table):
-    return table.view(['benchmark_name','origin','start','duration','name','value=(double)value'])
+    return table.view(['benchmark_name','origin','type','start','duration','name','value=(double)value'])
         
 # Do any conversions of type or column name needed from benchmark-platform.csv
 def convert_platform(table):
@@ -158,6 +158,11 @@ def empty_bench_platform():
     return input_table({'origin':dht.string,'name':dht.string,'value':dht.string,
         'set_id':dht.string,'run_id':dht.string})
         
+def empty_bench_events():
+    return input_table({'benchmark_name':dht.string,'origin':dht.string,'type':dht.string,
+        'start':dht.string,'duration':dht.string,'name':dht.string,'value':dht.float64,
+        'set_id':dht.string,'run_id':dht.string})
+
 def empty_bench_metrics():
     return input_table({'benchmark_name':dht.string,'origin':dht.string,'timestamp':dht.int64,
         'name':dht.string,'value':dht.float64,'note':dht.string, 'set_id':dht.string,
diff --git a/src/main/resources/io/deephaven/benchmark/run/profile/queries/dashboards/gc_dashboard.dh.py b/src/main/resources/io/deephaven/benchmark/run/profile/queries/dashboards/gc_dashboard.dh.py
new file mode 100644
index 00000000..9bf44192
--- /dev/null
+++ b/src/main/resources/io/deephaven/benchmark/run/profile/queries/dashboards/gc_dashboard.dh.py
@@ -0,0 +1,336 @@
+# Copyright (c) 2022-2026 Deephaven Data Labs and Patent Pending 
+#
+# Deephaven GC Comparison dashboard for visualizing garbage collection behavior across
+# benchmark data sets (e.g. G1 vs ZGC). The dashboard shows benchmark operation rates,
+# GC event durations, GC pause times, and GC CPU time side-by-side for each benchmark.
+# Data is loaded using the events functions in benchmark_functions.dh.py.
+#
+# Requirements: Deephaven 0.36.1 or greater
+#
+# ruff: noqa: F821
+from urllib.request import urlopen; import os
+from deephaven import ui, merge
+from deephaven.ui import use_memo, use_state
+from deephaven.plot.figure import Figure
+from deephaven.plot import PlotStyle
+
+# Resolve the benchmark data root — prefer local NFS, then user-local data, then GCloud
+local_data = '/home/stan/Data/Deephaven/deephaven-edge/data'
+if os.path.exists('/nfs/deephaven-benchmark'):
+    root = 'file:///nfs'
+elif os.path.exists(f'{local_data}/deephaven-benchmark'):
+    root = f'file://{local_data}'
+else:
+    root = 'https://storage.googleapis.com'
+
+with urlopen(f'{root}/deephaven-benchmark/benchmark_functions.dh.py') as r:
+    exec(r.read().decode(), globals(), locals())
+    storage_uri = f'{root}/deephaven-benchmark'
+
+# ---------------------------------------------------------------------------
+# Helper: get distinct set_ids ordered by timestamp
+# ---------------------------------------------------------------------------
+def get_setids(table):
+    col_names = [c.name for c in table.columns]
+    sort_col = 'timestamp' if 'timestamp' in col_names else 'start' if 'start' in col_names else 'set_id'
+    setids = table.sort([sort_col]).select_distinct(['set_id'])
+    return [row.set_id for row in setids.iter_tuple()]
+
+# ---------------------------------------------------------------------------
+# Helper: readable label for a set_id (strip actor prefix, keep set name)
+# ---------------------------------------------------------------------------
+def set_label(prefix, setid):
+    text = re.sub('^.*/','', setid[len(prefix):]) if setid.startswith(prefix) else setid
+    text = normalize_name(text)
+    return re.sub('^_+', '', text)
+
+# ---------------------------------------------------------------------------
+# Dashboard input: actor + set-label filter
+# ---------------------------------------------------------------------------
+def use_dashboard_input():
+    actor, set_actor = use_state('')
+    prefix, set_prefix = use_state('')
+    user_input, set_user_input = use_state({'actor': '', 'prefix': ''})
+
+    def update_user_input():
+        set_user_input({'actor': actor, 'prefix': prefix})
+
+    input_panel = ui.flex(
+        ui.text_field(label='Actor', label_position='side', value=actor, on_change=set_actor),
+        ui.text_field(label='Set Label Prefix', label_position='side', value=prefix, on_change=set_prefix),
+        ui.button('Apply', on_press=lambda: update_user_input()),
+        direction='row'
+    )
+    return user_input, input_panel
+
+# ---------------------------------------------------------------------------
+# Load benchmark result-sets + raw results (same as adhoc)
+# ---------------------------------------------------------------------------
+def load_results_tables(parent_table, actor, prefix):
+    bench_result_sets, bench_results = load_table_or_empty('result_sets', storage_uri, 'adhoc', actor, prefix)
+
+    setids = get_setids(bench_result_sets)
+    setprefix = f'{actor}/{prefix}'
+
+    bench = bench_result_sets.select_distinct(['Benchmark=benchmark_name'])
+    rate1 = None
+    for setid in setids:
+        setcol = set_label(setprefix, setid)
+        varcol = 'Var_' + setcol
+        ratecol = 'Rate_' + setcol
+        changecol = 'Change_' + setcol
+        right = bench_result_sets.where([f'set_id=`{setid}`'])
+        bench = bench.natural_join(right, on=['Benchmark=benchmark_name'],
+            joins=[varcol + '=variability', ratecol + '=op_rate'])
+        if rate1 is None:
+            rate1 = ratecol
+        else:
+            bench = bench.update([changecol + '=(float)gain(' + rate1 + ',' + ratecol + ')'])
+    bench = format_columns(bench, pct_cols=('Var_', 'Change_'), int_cols=('Rate',))
+    return bench, bench_results
+
+# ---------------------------------------------------------------------------
+# Load events tables
+# ---------------------------------------------------------------------------
+def load_events_tables(parent_table, actor, prefix):
+    bench_events = load_table_or_empty('events', storage_uri, 'adhoc', actor, prefix)
+    return bench_events
+
+# ---------------------------------------------------------------------------
+# Memo wrappers
+# ---------------------------------------------------------------------------
+def load_table_memo(table_name, parent_table, user_input):
+    table_func = globals()[f'load_{table_name}_tables']
+    return use_memo(
+        lambda: table_func(parent_table, user_input['actor'], user_input['prefix']), [user_input])
+
+# ---------------------------------------------------------------------------
+# Chart: Op-Rate comparison (line chart per set across runs)
+# ---------------------------------------------------------------------------
+def use_rate_chart(result_table, row_selection, user_input):
+    actor = user_input['actor']; prefix = user_input['prefix']
+    setids = get_setids(result_table)
+    setprefix = f'{actor}/{prefix}'
+    selected_benchmark = row_selection['Benchmark']['value']
+
+    ui_figure = Figure()
+    for i, setid in enumerate(setids):
+        if i == 0:
+            ui_figure = ui_figure.chart_title(title=f'{selected_benchmark} — Op Rate by Run')
+        lbl = set_label(setprefix, setid)
+        chart_table = result_table.where([f'benchmark_name=`{selected_benchmark}`', f'set_id=`{setid}`']) \
+            .sort(['timestamp']).update('run=i+1')
+        ui_figure = ui_figure.plot_xy(series_name=lbl, t=chart_table, x='run', y='op_rate')
+    return ui.flex(ui_figure.show())
+
+# ---------------------------------------------------------------------------
+# Chart: GC Collection Duration histogram (bar chart — total duration per GC name per set)
+# ---------------------------------------------------------------------------
+def use_gc_duration_chart(events_table, row_selection, user_input):
+    actor = user_input['actor']; prefix = user_input['prefix']
+    selected_benchmark = row_selection['Benchmark']['value']
+    setids = get_setids(events_table)
+    setprefix = f'{actor}/{prefix}'
+
+    gc_events = events_table.where([
+        f'benchmark_name=`{selected_benchmark}`',
+        'type=`jdk.GarbageCollection`'
+    ])
+
+    ui_figure = Figure()
+    for i, setid in enumerate(setids):
+        if i == 0:
+            ui_figure = ui_figure.axes(plot_style=PlotStyle.BAR) \
+                .chart_title(title=f'{selected_benchmark} — GC Collection Duration (ns)')
+        lbl = set_label(setprefix, setid)
+        set_gc = gc_events.where([f'set_id=`{setid}`']) \
+            .view(['name', 'duration=(double)duration']) \
+            .agg_by([agg.sum_('total_duration=duration')], by=['name'])
+        ui_figure = ui_figure.plot_cat(series_name=lbl, t=set_gc, category='name', y='total_duration')
+    return ui.flex(ui_figure.show())
+
+# ---------------------------------------------------------------------------
+# Chart: GC Pause Total Duration (bar chart — total pause time per set)
+# ---------------------------------------------------------------------------
+def use_gc_pause_chart(events_table, row_selection, user_input):
+    actor = user_input['actor']; prefix = user_input['prefix']
+    selected_benchmark = row_selection['Benchmark']['value']
+    setids = get_setids(events_table)
+    setprefix = f'{actor}/{prefix}'
+
+    pause_events = events_table.where([
+        f'benchmark_name=`{selected_benchmark}`',
+        'type=`jdk.GCPhasePause`'
+    ])
+
+    ui_figure = Figure()
+    for i, setid in enumerate(setids):
+        if i == 0:
+            ui_figure = ui_figure.axes(plot_style=PlotStyle.BAR) \
+                .chart_title(title=f'{selected_benchmark} — GC Pause Duration (ns)')
+        lbl = set_label(setprefix, setid)
+        set_pause = pause_events.where([f'set_id=`{setid}`']) \
+            .view(['name', 'duration=(double)duration']) \
+            .agg_by([agg.sum_('total_duration=duration'), agg.count_('event_count')], by=['name'])
+        ui_figure = ui_figure.plot_cat(series_name=lbl, t=set_pause, category='name', y='total_duration')
+    return ui.flex(ui_figure.show())
+
+# ---------------------------------------------------------------------------
+# Chart: GC Concurrent Phase Duration (bar chart — total concurrent time per set)
+# ---------------------------------------------------------------------------
+def use_gc_concurrent_chart(events_table, row_selection, user_input):
+    actor = user_input['actor']; prefix = user_input['prefix']
+    selected_benchmark = row_selection['Benchmark']['value']
+    setids = get_setids(events_table)
+    setprefix = f'{actor}/{prefix}'
+
+    concurrent_events = events_table.where([
+        f'benchmark_name=`{selected_benchmark}`',
+        'type=`jdk.GCPhaseConcurrent`'
+    ])
+
+    ui_figure = Figure()
+    for i, setid in enumerate(setids):
+        if i == 0:
+            ui_figure = ui_figure.axes(plot_style=PlotStyle.BAR) \
+                .chart_title(title=f'{selected_benchmark} — GC Concurrent Phase Duration (ns)')
+        lbl = set_label(setprefix, setid)
+        set_conc = concurrent_events.where([f'set_id=`{setid}`']) \
+            .view(['name', 'duration=(double)duration']) \
+            .agg_by([agg.sum_('total_duration=duration')], by=['name'])
+        ui_figure = ui_figure.plot_cat(series_name=lbl, t=set_conc, category='name', y='total_duration')
+    return ui.flex(ui_figure.show())
+
+# ---------------------------------------------------------------------------
+# Chart: GC Event Count comparison (bar chart — number of GC events per name per set)
+# ---------------------------------------------------------------------------
+def use_gc_count_chart(events_table, row_selection, user_input):
+    actor = user_input['actor']; prefix = user_input['prefix']
+    selected_benchmark = row_selection['Benchmark']['value']
+    setids = get_setids(events_table)
+    setprefix = f'{actor}/{prefix}'
+
+    gc_events = events_table.where([
+        f'benchmark_name=`{selected_benchmark}`',
+        'type=`jdk.GarbageCollection`'
+    ])
+
+    ui_figure = Figure()
+    for i, setid in enumerate(setids):
+        if i == 0:
+            ui_figure = ui_figure.axes(plot_style=PlotStyle.BAR) \
+                .chart_title(title=f'{selected_benchmark} — GC Event Count')
+        lbl = set_label(setprefix, setid)
+        set_gc = gc_events.where([f'set_id=`{setid}`']) \
+            .agg_by([agg.count_('event_count')], by=['name'])
+        ui_figure = ui_figure.plot_cat(series_name=lbl, t=set_gc, category='name', y='event_count')
+    return ui.flex(ui_figure.show())
+
+# ---------------------------------------------------------------------------
+# Chart: UGP Elapsed Time line chart (scatter over time per set)
+# ---------------------------------------------------------------------------
+def use_ugp_chart(events_table, row_selection, user_input):
+    actor = user_input['actor']; prefix = user_input['prefix']
+    selected_benchmark = row_selection['Benchmark']['value']
+    setids = get_setids(events_table)
+    setprefix = f'{actor}/{prefix}'
+
+    ugp_events = events_table.where([
+        f'benchmark_name=`{selected_benchmark}`',
+        'type=`ugp.delta`',
+        'name=`elapsedTime`'
+    ])
+
+    ui_figure = Figure()
+    for i, setid in enumerate(setids):
+        if i == 0:
+            ui_figure = ui_figure.chart_title(title=f'{selected_benchmark} — UGP Elapsed Time (ns)')
+        lbl = set_label(setprefix, setid)
+        set_ugp = ugp_events.where([f'set_id=`{setid}`']) \
+            .sort(['start']).update(['seq=i+1', 'elapsed=(double)value'])
+        ui_figure = ui_figure.plot_xy(series_name=lbl, t=set_ugp, x='seq', y='elapsed')
+    return ui.flex(ui_figure.show())
+
+# ---------------------------------------------------------------------------
+# Summary table: aggregate GC stats per set per benchmark
+# ---------------------------------------------------------------------------
+def build_gc_summary(events_table, user_input):
+    actor = user_input['actor']; prefix = user_input['prefix']
+    if not actor or not prefix:
+        return empty_table(0).update([
+            'benchmark_name=(String)null', 'set_id=(String)null',
+            'gc_count=(long)0', 'total_pause_ns=(double)0',
+            'total_concurrent_ns=(double)0', 'total_gc_duration_ns=(double)0'
+        ])
+
+    gc_coll = events_table.where(['type=`jdk.GarbageCollection`']) \
+        .view(['benchmark_name', 'set_id', 'duration=(double)duration']) \
+        .agg_by([agg.sum_('total_gc_duration_ns=duration'), agg.count_('gc_count')],
+                by=['benchmark_name', 'set_id'])
+
+    pause = events_table.where(['type=`jdk.GCPhasePause`']) \
+        .view(['benchmark_name', 'set_id', 'duration=(double)duration']) \
+        .agg_by([agg.sum_('total_pause_ns=duration')], by=['benchmark_name', 'set_id'])
+
+    concurrent = events_table.where(['type=`jdk.GCPhaseConcurrent`']) \
+        .view(['benchmark_name', 'set_id', 'duration=(double)duration']) \
+        .agg_by([agg.sum_('total_concurrent_ns=duration')], by=['benchmark_name', 'set_id'])
+
+    summary = gc_coll.natural_join(pause, on=['benchmark_name', 'set_id'], joins=['total_pause_ns']) \
+        .natural_join(concurrent, on=['benchmark_name', 'set_id'], joins=['total_concurrent_ns'])
+    return summary
+
+# ---------------------------------------------------------------------------
+# Main dashboard component
+# ---------------------------------------------------------------------------
+@ui.component
+def gc_dashboard():
+    user_input, input_form = use_dashboard_input()
+    row_selection, set_row_selection = use_state({'Benchmark': {'value': ''}})
+
+    set_table, result_table = load_table_memo('results', None, user_input)
+    events_table = load_table_memo('events', None, user_input)
+
+    gc_summary = use_memo(
+        lambda: build_gc_summary(events_table, user_input), [user_input, events_table])
+
+    rate_chart = use_rate_chart(result_table, row_selection, user_input)
+    gc_duration_chart = use_gc_duration_chart(events_table, row_selection, user_input)
+    gc_pause_chart = use_gc_pause_chart(events_table, row_selection, user_input)
+    gc_concurrent_chart = use_gc_concurrent_chart(events_table, row_selection, user_input)
+    gc_count_chart = use_gc_count_chart(events_table, row_selection, user_input)
+    ugp_chart = use_ugp_chart(events_table, row_selection, user_input)
+
+    return ui.column([
+        ui.row(ui.panel(input_form, title='Data Set'), height='7'),
+        ui.row(
+            ui.panel(
+                ui.table(set_table, on_row_press=set_row_selection, density='regular'),
+                title='Benchmark Comparison'),
+            ui.panel(
+                ui.table(gc_summary, density='regular'),
+                title='GC Summary'),
+            height='35'),
+        ui.row(
+            ui.stack(
+                ui.panel(rate_chart, title='Op Rate'),
+                ui.panel(ugp_chart, title='UGP Elapsed Time'),
+                active_item_index=0
+            ),
+            ui.stack(
+                ui.panel(gc_duration_chart, title='GC Duration'),
+                ui.panel(gc_count_chart, title='GC Event Count'),
+                active_item_index=0
+            ),
+            height='29'),
+        ui.row(
+            ui.stack(
+                ui.panel(gc_pause_chart, title='GC Pause Duration'),
+            ),
+            ui.stack(
+                ui.panel(gc_concurrent_chart, title='GC Concurrent Duration'),
+            ),
+            height='29'),
+    ])
+
+GC_Dashboard = ui.dashboard(gc_dashboard())

From c048170b546a5941fe8e02398839d5577bdb11aa Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Fri, 5 Jun 2026 12:50:06 -0600
Subject: [PATCH 52/73] Roll back changes some unwanted changes

---
 .../tests/standard/kafka/KafkaTestRunner.java |  38 --
 .../dashboards/benchmark_functions.dh.py      |   7 +-
 .../queries/dashboards/gc_dashboard.dh.py     | 336 ------------------
 3 files changed, 1 insertion(+), 380 deletions(-)
 delete mode 100644 src/main/resources/io/deephaven/benchmark/run/profile/queries/dashboards/gc_dashboard.dh.py

diff --git a/src/it/java/io/deephaven/benchmark/tests/standard/kafka/KafkaTestRunner.java b/src/it/java/io/deephaven/benchmark/tests/standard/kafka/KafkaTestRunner.java
index 545f4d04..c919f852 100644
--- a/src/it/java/io/deephaven/benchmark/tests/standard/kafka/KafkaTestRunner.java
+++ b/src/it/java/io/deephaven/benchmark/tests/standard/kafka/KafkaTestRunner.java
@@ -154,7 +154,6 @@ void runTest(String operation, String tableType) {
             }).fetchAfter("standard_metrics", table -> {
                 api.metrics().add(table);
             }).execute();
-            shutdownConsumer();
         } finally {
             addDockerLog(api);
         }
@@ -203,43 +202,6 @@ private String getResultTableSize(String operation) {
         return "result.size";
     }
     
-    /**
-     * Shut down the Kafka consumer and derived tables in the current session after the test completes.
-     * This must run in the same session that created the consumer, since a new session cannot access
-     * the previous session's variables. Without this, the old consumer (e.g. JSON) stays alive and
-     * reads data generated by the next test (e.g. Protobuf), causing deserialization errors.
-     * <p/>
-     * Simply calling {@code j_table.close()} is not enough because the underlying {@code KafkaIngester}
-     * runs its own consumer loop thread. Dropping the table from the liveness scope triggers the
-     * ingester's shutdown and stops the polling thread.
-     */
-    private void shutdownConsumer() {
-        var query = """
-        import time, jpy
-        from deephaven import garbage_collect
-
-        LivenessScopeStack = jpy.get_type('io.deephaven.engine.liveness.LivenessScopeStack')
-
-        if 'result' in dir() and result is not None:
-            try:
-                LivenessScopeStack.peek().release(result.j_table)
-            except Exception:
-                pass
-        result = None
-
-        if 'consumer_tbl' in dir() and consumer_tbl is not None:
-            try:
-                LivenessScopeStack.peek().release(consumer_tbl.j_table)
-            except Exception:
-                pass
-        consumer_tbl = None
-
-        garbage_collect()
-        time.sleep(1)
-        """;
-        api.query(query).execute();
-    }
-
     private void addDockerLog(Bench api) {
         var timer = api.timer();
         var logText = controller.getLog();
diff --git a/src/main/resources/io/deephaven/benchmark/run/profile/queries/dashboards/benchmark_functions.dh.py b/src/main/resources/io/deephaven/benchmark/run/profile/queries/dashboards/benchmark_functions.dh.py
index 5af16c5f..071e2f8f 100644
--- a/src/main/resources/io/deephaven/benchmark/run/profile/queries/dashboards/benchmark_functions.dh.py
+++ b/src/main/resources/io/deephaven/benchmark/run/profile/queries/dashboards/benchmark_functions.dh.py
@@ -125,7 +125,7 @@ def convert_metric(table):
         
 # Do any conversions of type or column name needed from benchmark-events.csv
 def convert_event(table):
-    return table.view(['benchmark_name','origin','type','start','duration','name','value=(double)value'])
+    return table.view(['benchmark_name','origin','start','duration','name','value=(double)value'])
         
 # Do any conversions of type or column name needed from benchmark-platform.csv
 def convert_platform(table):
@@ -158,11 +158,6 @@ def empty_bench_platform():
     return input_table({'origin':dht.string,'name':dht.string,'value':dht.string,
         'set_id':dht.string,'run_id':dht.string})
         
-def empty_bench_events():
-    return input_table({'benchmark_name':dht.string,'origin':dht.string,'type':dht.string,
-        'start':dht.string,'duration':dht.string,'name':dht.string,'value':dht.float64,
-        'set_id':dht.string,'run_id':dht.string})
-
 def empty_bench_metrics():
     return input_table({'benchmark_name':dht.string,'origin':dht.string,'timestamp':dht.int64,
         'name':dht.string,'value':dht.float64,'note':dht.string, 'set_id':dht.string,
diff --git a/src/main/resources/io/deephaven/benchmark/run/profile/queries/dashboards/gc_dashboard.dh.py b/src/main/resources/io/deephaven/benchmark/run/profile/queries/dashboards/gc_dashboard.dh.py
deleted file mode 100644
index 9bf44192..00000000
--- a/src/main/resources/io/deephaven/benchmark/run/profile/queries/dashboards/gc_dashboard.dh.py
+++ /dev/null
@@ -1,336 +0,0 @@
-# Copyright (c) 2022-2026 Deephaven Data Labs and Patent Pending 
-#
-# Deephaven GC Comparison dashboard for visualizing garbage collection behavior across
-# benchmark data sets (e.g. G1 vs ZGC). The dashboard shows benchmark operation rates,
-# GC event durations, GC pause times, and GC CPU time side-by-side for each benchmark.
-# Data is loaded using the events functions in benchmark_functions.dh.py.
-#
-# Requirements: Deephaven 0.36.1 or greater
-#
-# ruff: noqa: F821
-from urllib.request import urlopen; import os
-from deephaven import ui, merge
-from deephaven.ui import use_memo, use_state
-from deephaven.plot.figure import Figure
-from deephaven.plot import PlotStyle
-
-# Resolve the benchmark data root — prefer local NFS, then user-local data, then GCloud
-local_data = '/home/stan/Data/Deephaven/deephaven-edge/data'
-if os.path.exists('/nfs/deephaven-benchmark'):
-    root = 'file:///nfs'
-elif os.path.exists(f'{local_data}/deephaven-benchmark'):
-    root = f'file://{local_data}'
-else:
-    root = 'https://storage.googleapis.com'
-
-with urlopen(f'{root}/deephaven-benchmark/benchmark_functions.dh.py') as r:
-    exec(r.read().decode(), globals(), locals())
-    storage_uri = f'{root}/deephaven-benchmark'
-
-# ---------------------------------------------------------------------------
-# Helper: get distinct set_ids ordered by timestamp
-# ---------------------------------------------------------------------------
-def get_setids(table):
-    col_names = [c.name for c in table.columns]
-    sort_col = 'timestamp' if 'timestamp' in col_names else 'start' if 'start' in col_names else 'set_id'
-    setids = table.sort([sort_col]).select_distinct(['set_id'])
-    return [row.set_id for row in setids.iter_tuple()]
-
-# ---------------------------------------------------------------------------
-# Helper: readable label for a set_id (strip actor prefix, keep set name)
-# ---------------------------------------------------------------------------
-def set_label(prefix, setid):
-    text = re.sub('^.*/','', setid[len(prefix):]) if setid.startswith(prefix) else setid
-    text = normalize_name(text)
-    return re.sub('^_+', '', text)
-
-# ---------------------------------------------------------------------------
-# Dashboard input: actor + set-label filter
-# ---------------------------------------------------------------------------
-def use_dashboard_input():
-    actor, set_actor = use_state('')
-    prefix, set_prefix = use_state('')
-    user_input, set_user_input = use_state({'actor': '', 'prefix': ''})
-
-    def update_user_input():
-        set_user_input({'actor': actor, 'prefix': prefix})
-
-    input_panel = ui.flex(
-        ui.text_field(label='Actor', label_position='side', value=actor, on_change=set_actor),
-        ui.text_field(label='Set Label Prefix', label_position='side', value=prefix, on_change=set_prefix),
-        ui.button('Apply', on_press=lambda: update_user_input()),
-        direction='row'
-    )
-    return user_input, input_panel
-
-# ---------------------------------------------------------------------------
-# Load benchmark result-sets + raw results (same as adhoc)
-# ---------------------------------------------------------------------------
-def load_results_tables(parent_table, actor, prefix):
-    bench_result_sets, bench_results = load_table_or_empty('result_sets', storage_uri, 'adhoc', actor, prefix)
-
-    setids = get_setids(bench_result_sets)
-    setprefix = f'{actor}/{prefix}'
-
-    bench = bench_result_sets.select_distinct(['Benchmark=benchmark_name'])
-    rate1 = None
-    for setid in setids:
-        setcol = set_label(setprefix, setid)
-        varcol = 'Var_' + setcol
-        ratecol = 'Rate_' + setcol
-        changecol = 'Change_' + setcol
-        right = bench_result_sets.where([f'set_id=`{setid}`'])
-        bench = bench.natural_join(right, on=['Benchmark=benchmark_name'],
-            joins=[varcol + '=variability', ratecol + '=op_rate'])
-        if rate1 is None:
-            rate1 = ratecol
-        else:
-            bench = bench.update([changecol + '=(float)gain(' + rate1 + ',' + ratecol + ')'])
-    bench = format_columns(bench, pct_cols=('Var_', 'Change_'), int_cols=('Rate',))
-    return bench, bench_results
-
-# ---------------------------------------------------------------------------
-# Load events tables
-# ---------------------------------------------------------------------------
-def load_events_tables(parent_table, actor, prefix):
-    bench_events = load_table_or_empty('events', storage_uri, 'adhoc', actor, prefix)
-    return bench_events
-
-# ---------------------------------------------------------------------------
-# Memo wrappers
-# ---------------------------------------------------------------------------
-def load_table_memo(table_name, parent_table, user_input):
-    table_func = globals()[f'load_{table_name}_tables']
-    return use_memo(
-        lambda: table_func(parent_table, user_input['actor'], user_input['prefix']), [user_input])
-
-# ---------------------------------------------------------------------------
-# Chart: Op-Rate comparison (line chart per set across runs)
-# ---------------------------------------------------------------------------
-def use_rate_chart(result_table, row_selection, user_input):
-    actor = user_input['actor']; prefix = user_input['prefix']
-    setids = get_setids(result_table)
-    setprefix = f'{actor}/{prefix}'
-    selected_benchmark = row_selection['Benchmark']['value']
-
-    ui_figure = Figure()
-    for i, setid in enumerate(setids):
-        if i == 0:
-            ui_figure = ui_figure.chart_title(title=f'{selected_benchmark} — Op Rate by Run')
-        lbl = set_label(setprefix, setid)
-        chart_table = result_table.where([f'benchmark_name=`{selected_benchmark}`', f'set_id=`{setid}`']) \
-            .sort(['timestamp']).update('run=i+1')
-        ui_figure = ui_figure.plot_xy(series_name=lbl, t=chart_table, x='run', y='op_rate')
-    return ui.flex(ui_figure.show())
-
-# ---------------------------------------------------------------------------
-# Chart: GC Collection Duration histogram (bar chart — total duration per GC name per set)
-# ---------------------------------------------------------------------------
-def use_gc_duration_chart(events_table, row_selection, user_input):
-    actor = user_input['actor']; prefix = user_input['prefix']
-    selected_benchmark = row_selection['Benchmark']['value']
-    setids = get_setids(events_table)
-    setprefix = f'{actor}/{prefix}'
-
-    gc_events = events_table.where([
-        f'benchmark_name=`{selected_benchmark}`',
-        'type=`jdk.GarbageCollection`'
-    ])
-
-    ui_figure = Figure()
-    for i, setid in enumerate(setids):
-        if i == 0:
-            ui_figure = ui_figure.axes(plot_style=PlotStyle.BAR) \
-                .chart_title(title=f'{selected_benchmark} — GC Collection Duration (ns)')
-        lbl = set_label(setprefix, setid)
-        set_gc = gc_events.where([f'set_id=`{setid}`']) \
-            .view(['name', 'duration=(double)duration']) \
-            .agg_by([agg.sum_('total_duration=duration')], by=['name'])
-        ui_figure = ui_figure.plot_cat(series_name=lbl, t=set_gc, category='name', y='total_duration')
-    return ui.flex(ui_figure.show())
-
-# ---------------------------------------------------------------------------
-# Chart: GC Pause Total Duration (bar chart — total pause time per set)
-# ---------------------------------------------------------------------------
-def use_gc_pause_chart(events_table, row_selection, user_input):
-    actor = user_input['actor']; prefix = user_input['prefix']
-    selected_benchmark = row_selection['Benchmark']['value']
-    setids = get_setids(events_table)
-    setprefix = f'{actor}/{prefix}'
-
-    pause_events = events_table.where([
-        f'benchmark_name=`{selected_benchmark}`',
-        'type=`jdk.GCPhasePause`'
-    ])
-
-    ui_figure = Figure()
-    for i, setid in enumerate(setids):
-        if i == 0:
-            ui_figure = ui_figure.axes(plot_style=PlotStyle.BAR) \
-                .chart_title(title=f'{selected_benchmark} — GC Pause Duration (ns)')
-        lbl = set_label(setprefix, setid)
-        set_pause = pause_events.where([f'set_id=`{setid}`']) \
-            .view(['name', 'duration=(double)duration']) \
-            .agg_by([agg.sum_('total_duration=duration'), agg.count_('event_count')], by=['name'])
-        ui_figure = ui_figure.plot_cat(series_name=lbl, t=set_pause, category='name', y='total_duration')
-    return ui.flex(ui_figure.show())
-
-# ---------------------------------------------------------------------------
-# Chart: GC Concurrent Phase Duration (bar chart — total concurrent time per set)
-# ---------------------------------------------------------------------------
-def use_gc_concurrent_chart(events_table, row_selection, user_input):
-    actor = user_input['actor']; prefix = user_input['prefix']
-    selected_benchmark = row_selection['Benchmark']['value']
-    setids = get_setids(events_table)
-    setprefix = f'{actor}/{prefix}'
-
-    concurrent_events = events_table.where([
-        f'benchmark_name=`{selected_benchmark}`',
-        'type=`jdk.GCPhaseConcurrent`'
-    ])
-
-    ui_figure = Figure()
-    for i, setid in enumerate(setids):
-        if i == 0:
-            ui_figure = ui_figure.axes(plot_style=PlotStyle.BAR) \
-                .chart_title(title=f'{selected_benchmark} — GC Concurrent Phase Duration (ns)')
-        lbl = set_label(setprefix, setid)
-        set_conc = concurrent_events.where([f'set_id=`{setid}`']) \
-            .view(['name', 'duration=(double)duration']) \
-            .agg_by([agg.sum_('total_duration=duration')], by=['name'])
-        ui_figure = ui_figure.plot_cat(series_name=lbl, t=set_conc, category='name', y='total_duration')
-    return ui.flex(ui_figure.show())
-
-# ---------------------------------------------------------------------------
-# Chart: GC Event Count comparison (bar chart — number of GC events per name per set)
-# ---------------------------------------------------------------------------
-def use_gc_count_chart(events_table, row_selection, user_input):
-    actor = user_input['actor']; prefix = user_input['prefix']
-    selected_benchmark = row_selection['Benchmark']['value']
-    setids = get_setids(events_table)
-    setprefix = f'{actor}/{prefix}'
-
-    gc_events = events_table.where([
-        f'benchmark_name=`{selected_benchmark}`',
-        'type=`jdk.GarbageCollection`'
-    ])
-
-    ui_figure = Figure()
-    for i, setid in enumerate(setids):
-        if i == 0:
-            ui_figure = ui_figure.axes(plot_style=PlotStyle.BAR) \
-                .chart_title(title=f'{selected_benchmark} — GC Event Count')
-        lbl = set_label(setprefix, setid)
-        set_gc = gc_events.where([f'set_id=`{setid}`']) \
-            .agg_by([agg.count_('event_count')], by=['name'])
-        ui_figure = ui_figure.plot_cat(series_name=lbl, t=set_gc, category='name', y='event_count')
-    return ui.flex(ui_figure.show())
-
-# ---------------------------------------------------------------------------
-# Chart: UGP Elapsed Time line chart (scatter over time per set)
-# ---------------------------------------------------------------------------
-def use_ugp_chart(events_table, row_selection, user_input):
-    actor = user_input['actor']; prefix = user_input['prefix']
-    selected_benchmark = row_selection['Benchmark']['value']
-    setids = get_setids(events_table)
-    setprefix = f'{actor}/{prefix}'
-
-    ugp_events = events_table.where([
-        f'benchmark_name=`{selected_benchmark}`',
-        'type=`ugp.delta`',
-        'name=`elapsedTime`'
-    ])
-
-    ui_figure = Figure()
-    for i, setid in enumerate(setids):
-        if i == 0:
-            ui_figure = ui_figure.chart_title(title=f'{selected_benchmark} — UGP Elapsed Time (ns)')
-        lbl = set_label(setprefix, setid)
-        set_ugp = ugp_events.where([f'set_id=`{setid}`']) \
-            .sort(['start']).update(['seq=i+1', 'elapsed=(double)value'])
-        ui_figure = ui_figure.plot_xy(series_name=lbl, t=set_ugp, x='seq', y='elapsed')
-    return ui.flex(ui_figure.show())
-
-# ---------------------------------------------------------------------------
-# Summary table: aggregate GC stats per set per benchmark
-# ---------------------------------------------------------------------------
-def build_gc_summary(events_table, user_input):
-    actor = user_input['actor']; prefix = user_input['prefix']
-    if not actor or not prefix:
-        return empty_table(0).update([
-            'benchmark_name=(String)null', 'set_id=(String)null',
-            'gc_count=(long)0', 'total_pause_ns=(double)0',
-            'total_concurrent_ns=(double)0', 'total_gc_duration_ns=(double)0'
-        ])
-
-    gc_coll = events_table.where(['type=`jdk.GarbageCollection`']) \
-        .view(['benchmark_name', 'set_id', 'duration=(double)duration']) \
-        .agg_by([agg.sum_('total_gc_duration_ns=duration'), agg.count_('gc_count')],
-                by=['benchmark_name', 'set_id'])
-
-    pause = events_table.where(['type=`jdk.GCPhasePause`']) \
-        .view(['benchmark_name', 'set_id', 'duration=(double)duration']) \
-        .agg_by([agg.sum_('total_pause_ns=duration')], by=['benchmark_name', 'set_id'])
-
-    concurrent = events_table.where(['type=`jdk.GCPhaseConcurrent`']) \
-        .view(['benchmark_name', 'set_id', 'duration=(double)duration']) \
-        .agg_by([agg.sum_('total_concurrent_ns=duration')], by=['benchmark_name', 'set_id'])
-
-    summary = gc_coll.natural_join(pause, on=['benchmark_name', 'set_id'], joins=['total_pause_ns']) \
-        .natural_join(concurrent, on=['benchmark_name', 'set_id'], joins=['total_concurrent_ns'])
-    return summary
-
-# ---------------------------------------------------------------------------
-# Main dashboard component
-# ---------------------------------------------------------------------------
-@ui.component
-def gc_dashboard():
-    user_input, input_form = use_dashboard_input()
-    row_selection, set_row_selection = use_state({'Benchmark': {'value': ''}})
-
-    set_table, result_table = load_table_memo('results', None, user_input)
-    events_table = load_table_memo('events', None, user_input)
-
-    gc_summary = use_memo(
-        lambda: build_gc_summary(events_table, user_input), [user_input, events_table])
-
-    rate_chart = use_rate_chart(result_table, row_selection, user_input)
-    gc_duration_chart = use_gc_duration_chart(events_table, row_selection, user_input)
-    gc_pause_chart = use_gc_pause_chart(events_table, row_selection, user_input)
-    gc_concurrent_chart = use_gc_concurrent_chart(events_table, row_selection, user_input)
-    gc_count_chart = use_gc_count_chart(events_table, row_selection, user_input)
-    ugp_chart = use_ugp_chart(events_table, row_selection, user_input)
-
-    return ui.column([
-        ui.row(ui.panel(input_form, title='Data Set'), height='7'),
-        ui.row(
-            ui.panel(
-                ui.table(set_table, on_row_press=set_row_selection, density='regular'),
-                title='Benchmark Comparison'),
-            ui.panel(
-                ui.table(gc_summary, density='regular'),
-                title='GC Summary'),
-            height='35'),
-        ui.row(
-            ui.stack(
-                ui.panel(rate_chart, title='Op Rate'),
-                ui.panel(ugp_chart, title='UGP Elapsed Time'),
-                active_item_index=0
-            ),
-            ui.stack(
-                ui.panel(gc_duration_chart, title='GC Duration'),
-                ui.panel(gc_count_chart, title='GC Event Count'),
-                active_item_index=0
-            ),
-            height='29'),
-        ui.row(
-            ui.stack(
-                ui.panel(gc_pause_chart, title='GC Pause Duration'),
-            ),
-            ui.stack(
-                ui.panel(gc_concurrent_chart, title='GC Concurrent Duration'),
-            ),
-            height='29'),
-    ])
-
-GC_Dashboard = ui.dashboard(gc_dashboard())

From c9af58a1dcbbc835f8729831fcff8ccfe079086b Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Mon, 8 Jun 2026 14:37:52 -0600
Subject: [PATCH 53/73] Switch to java 17

---
 .github/resources/adhoc-benchmark-docker-compose.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.github/resources/adhoc-benchmark-docker-compose.yml b/.github/resources/adhoc-benchmark-docker-compose.yml
index e83c6db9..eb148f31 100644
--- a/.github/resources/adhoc-benchmark-docker-compose.yml
+++ b/.github/resources/adhoc-benchmark-docker-compose.yml
@@ -1,6 +1,6 @@
 services:
   deephaven:
-    image: ghcr.io/stanbrub/server:jvm25
+    image: ghcr.io/stanbrub/server:jvm17
     ports:
       - "${DEEPHAVEN_PORT:-10000}:10000"
     volumes:

From 5364601477a77550235ac656c8099973efafd76f Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Tue, 9 Jun 2026 17:57:48 -0600
Subject: [PATCH 54/73] Change to JVM 25

---
 .github/resources/adhoc-benchmark-docker-compose.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.github/resources/adhoc-benchmark-docker-compose.yml b/.github/resources/adhoc-benchmark-docker-compose.yml
index eb148f31..e83c6db9 100644
--- a/.github/resources/adhoc-benchmark-docker-compose.yml
+++ b/.github/resources/adhoc-benchmark-docker-compose.yml
@@ -1,6 +1,6 @@
 services:
   deephaven:
-    image: ghcr.io/stanbrub/server:jvm17
+    image: ghcr.io/stanbrub/server:jvm25
     ports:
       - "${DEEPHAVEN_PORT:-10000}:10000"
     volumes:

From 4af739379bc0460ef59e10e958739d240ed21507 Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Tue, 9 Jun 2026 22:01:46 -0600
Subject: [PATCH 55/73] Rescaled for 100ms benchmarks

---
 .../io/deephaven/benchmark/tests/train/FilterTrainTest.java   | 2 +-
 .../io/deephaven/benchmark/tests/train/TrainTestRunner.java   | 4 ++--
 .../io/deephaven/benchmark/tests/train/UpdateByTrainTest.java | 2 +-
 3 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/src/it/java/io/deephaven/benchmark/tests/train/FilterTrainTest.java b/src/it/java/io/deephaven/benchmark/tests/train/FilterTrainTest.java
index 23d2852d..a3721852 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/FilterTrainTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/FilterTrainTest.java
@@ -35,7 +35,7 @@ void filter2Cols() {
     @Test
     void filter3Cols() {
         runner.setIncReleaseRowCount(3468549);
-        setup(248, 248);
+        setup(620, 620);
         var q = """
         timed.where_in(where_filter, cols=['key1 = set1', 'key2 = set2', 'key3 = set3']) \
             .where(filters=["key1 = '1'", 'inRange(num1, 0, 100)', 'key3 in -2, -1, 0, 1, 2'])
diff --git a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
index 39292de1..9395ecee 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
@@ -14,7 +14,7 @@
  * versions and GC types.
  */
 final public class TrainTestRunner {
-    static final int maxRowFactor = 470;
+    static final int maxRowFactor = 620;
     static final float incCycleFactor = 1.0f;
     static final double incReleaseFactor = 1.0f;
     final Object testInst;
@@ -32,7 +32,7 @@ final public class TrainTestRunner {
     public void tables(double staticRowFactor, double incRowFactor, String... names) {
         if (Math.max(staticRowFactor, incRowFactor) > maxRowFactor)
             throw new IllegalArgumentException("Row factors cannot be greater than " + maxRowFactor);
-        this.staticRowFactor = staticRowFactor;
+        this.staticRowFactor = 0; // staticRowFactor;
         this.incRowFactor = incRowFactor;
         tableNames = names;
     }
diff --git a/src/it/java/io/deephaven/benchmark/tests/train/UpdateByTrainTest.java b/src/it/java/io/deephaven/benchmark/tests/train/UpdateByTrainTest.java
index e1b45e9b..140f10f6 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/UpdateByTrainTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/UpdateByTrainTest.java
@@ -43,7 +43,7 @@ void mixedComboNoGroups() {
 
     @Test
     void rollingCombo2Groups() {
-        setup(9, 4.5);
+        setup(9, 0.2);
         runner.addSetupQuery(group10K);
         var q = """
         timed.update_by(ops=[avg_contains,max_before,prod_after,ema_tick_op,min_op,sum_op], by=['key1','key2'])

From 920c89cdb7545c2d7e49d2e14f16ba3655bfc155 Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Wed, 10 Jun 2026 17:17:17 -0600
Subject: [PATCH 56/73] Changed autotune to 90% for testing

---
 .../io/deephaven/benchmark/tests/train/TrainTestRunner.java   | 2 +-
 .../run/profile/queries/dashboards/benchmark_functions.dh.py  | 4 ++--
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
index 9395ecee..6c91ecb9 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
@@ -15,7 +15,7 @@
  */
 final public class TrainTestRunner {
     static final int maxRowFactor = 620;
-    static final float incCycleFactor = 1.0f;
+    static final float incCycleFactor = 0.90f;
     static final double incReleaseFactor = 1.0f;
     final Object testInst;
     final List<String> setupQueries = new ArrayList<>();
diff --git a/src/main/resources/io/deephaven/benchmark/run/profile/queries/dashboards/benchmark_functions.dh.py b/src/main/resources/io/deephaven/benchmark/run/profile/queries/dashboards/benchmark_functions.dh.py
index 071e2f8f..a68c6a54 100644
--- a/src/main/resources/io/deephaven/benchmark/run/profile/queries/dashboards/benchmark_functions.dh.py
+++ b/src/main/resources/io/deephaven/benchmark/run/profile/queries/dashboards/benchmark_functions.dh.py
@@ -125,8 +125,8 @@ def convert_metric(table):
         
 # Do any conversions of type or column name needed from benchmark-events.csv
 def convert_event(table):
-    return table.view(['benchmark_name','origin','start','duration','name','value=(double)value'])
-        
+    return table.view(['benchmark_name','origin','type','start','duration','name','value=(double)value'])
+
 # Do any conversions of type or column name needed from benchmark-platform.csv
 def convert_platform(table):
     return table.view(['origin','name','value'])

From 37dc3367dfea32dfdddcc668a74bc425fad1cff4 Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Thu, 11 Jun 2026 13:56:47 -0600
Subject: [PATCH 57/73] Add 1.10% inc target

---
 .../io/deephaven/benchmark/tests/train/TrainTestRunner.java     | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
index 6c91ecb9..13e58980 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
@@ -15,7 +15,7 @@
  */
 final public class TrainTestRunner {
     static final int maxRowFactor = 620;
-    static final float incCycleFactor = 0.90f;
+    static final float incCycleFactor = 1.1f;
     static final double incReleaseFactor = 1.0f;
     final Object testInst;
     final List<String> setupQueries = new ArrayList<>();

From c6f4a003378a00d992ed0a3053164eb42030b655 Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Fri, 12 Jun 2026 13:08:43 -0600
Subject: [PATCH 58/73] Turn off static for now. Do inc 100p

---
 .../io/deephaven/benchmark/tests/train/TrainTestRunner.java | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
index 13e58980..08bc4fe4 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
@@ -15,7 +15,7 @@
  */
 final public class TrainTestRunner {
     static final int maxRowFactor = 620;
-    static final float incCycleFactor = 1.1f;
+    static final float incCycleFactor = 1.0f;
     static final double incReleaseFactor = 1.0f;
     final Object testInst;
     final List<String> setupQueries = new ArrayList<>();
@@ -52,8 +52,8 @@ public void test(String name, long maxExpectedRowCount, String operation, String
         setupQueries.add(startJfrQuery);
         teardownQueries.add(stopJfrQuery);
 
-        if (staticRowFactor > 0)
-            test(name, maxExpectedRowCount, operation, staticRowFactor, true, loadColumns);
+//        if (staticRowFactor > 0)
+//            test(name, maxExpectedRowCount, operation, staticRowFactor, true, loadColumns);
 
         if (incRowFactor > 0) {
             setupQueries.add(startUgpQuery);

From e29b3bb3b085e710c3bbbad53846040b548abea0 Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Tue, 16 Jun 2026 21:47:29 -0600
Subject: [PATCH 59/73] Do huge mem options for 1 sec

---
 .../io/deephaven/benchmark/tests/train/TrainTestRunner.java | 6 +++---
 .../deephaven/benchmark/tests/train/UpdateByTrainTest.java  | 2 +-
 2 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
index 08bc4fe4..c8f2313e 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
@@ -32,7 +32,7 @@ final public class TrainTestRunner {
     public void tables(double staticRowFactor, double incRowFactor, String... names) {
         if (Math.max(staticRowFactor, incRowFactor) > maxRowFactor)
             throw new IllegalArgumentException("Row factors cannot be greater than " + maxRowFactor);
-        this.staticRowFactor = 0; // staticRowFactor;
+        this.staticRowFactor = staticRowFactor;
         this.incRowFactor = incRowFactor;
         tableNames = names;
     }
@@ -52,8 +52,8 @@ public void test(String name, long maxExpectedRowCount, String operation, String
         setupQueries.add(startJfrQuery);
         teardownQueries.add(stopJfrQuery);
 
-//        if (staticRowFactor > 0)
-//            test(name, maxExpectedRowCount, operation, staticRowFactor, true, loadColumns);
+        if (staticRowFactor > 0)
+            test(name, maxExpectedRowCount, operation, staticRowFactor, true, loadColumns);
 
         if (incRowFactor > 0) {
             setupQueries.add(startUgpQuery);
diff --git a/src/it/java/io/deephaven/benchmark/tests/train/UpdateByTrainTest.java b/src/it/java/io/deephaven/benchmark/tests/train/UpdateByTrainTest.java
index 140f10f6..a0557da8 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/UpdateByTrainTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/UpdateByTrainTest.java
@@ -43,7 +43,7 @@ void mixedComboNoGroups() {
 
     @Test
     void rollingCombo2Groups() {
-        setup(9, 0.2);
+        setup(9, 4.5);  // 0.2 for 100ms, 4.5 for 1s
         runner.addSetupQuery(group10K);
         var q = """
         timed.update_by(ops=[avg_contains,max_before,prod_after,ema_tick_op,min_op,sum_op], by=['key1','key2'])

From 83f4c78021a5bd9cfa61db00d0dfaf04196b6336 Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Wed, 17 Jun 2026 22:25:45 -0600
Subject: [PATCH 60/73] Doing Just Inc for 80% throughput now

---
 .../io/deephaven/benchmark/tests/train/TrainTestRunner.java   | 4 ++--
 .../io/deephaven/benchmark/tests/train/UpdateByTrainTest.java | 2 +-
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
index c8f2313e..96c687ac 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
@@ -15,7 +15,7 @@
  */
 final public class TrainTestRunner {
     static final int maxRowFactor = 620;
-    static final float incCycleFactor = 1.0f;
+    static final float incCycleFactor = 0.80f;
     static final double incReleaseFactor = 1.0f;
     final Object testInst;
     final List<String> setupQueries = new ArrayList<>();
@@ -32,7 +32,7 @@ final public class TrainTestRunner {
     public void tables(double staticRowFactor, double incRowFactor, String... names) {
         if (Math.max(staticRowFactor, incRowFactor) > maxRowFactor)
             throw new IllegalArgumentException("Row factors cannot be greater than " + maxRowFactor);
-        this.staticRowFactor = staticRowFactor;
+        this.staticRowFactor = 0;  // staticRowFactor;
         this.incRowFactor = incRowFactor;
         tableNames = names;
     }
diff --git a/src/it/java/io/deephaven/benchmark/tests/train/UpdateByTrainTest.java b/src/it/java/io/deephaven/benchmark/tests/train/UpdateByTrainTest.java
index a0557da8..cdfd8844 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/UpdateByTrainTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/UpdateByTrainTest.java
@@ -43,7 +43,7 @@ void mixedComboNoGroups() {
 
     @Test
     void rollingCombo2Groups() {
-        setup(9, 4.5);  // 0.2 for 100ms, 4.5 for 1s
+        setup(9, 0.2);  // 0.2 for 100ms, 4.5 for 1s
         runner.addSetupQuery(group10K);
         var q = """
         timed.update_by(ops=[avg_contains,max_before,prod_after,ema_tick_op,min_op,sum_op], by=['key1','key2'])

From 6837afaf51d368cd6267ed95af2559cd091a9f66 Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Mon, 22 Jun 2026 14:00:00 -0600
Subject: [PATCH 61/73] Doing JVM 17 with p1.0 inc and static

---
 .github/resources/adhoc-benchmark-docker-compose.yml          | 2 +-
 .../io/deephaven/benchmark/tests/train/TrainTestRunner.java   | 4 ++--
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/.github/resources/adhoc-benchmark-docker-compose.yml b/.github/resources/adhoc-benchmark-docker-compose.yml
index e83c6db9..eb148f31 100644
--- a/.github/resources/adhoc-benchmark-docker-compose.yml
+++ b/.github/resources/adhoc-benchmark-docker-compose.yml
@@ -1,6 +1,6 @@
 services:
   deephaven:
-    image: ghcr.io/stanbrub/server:jvm25
+    image: ghcr.io/stanbrub/server:jvm17
     ports:
       - "${DEEPHAVEN_PORT:-10000}:10000"
     volumes:
diff --git a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
index 96c687ac..c8f2313e 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
@@ -15,7 +15,7 @@
  */
 final public class TrainTestRunner {
     static final int maxRowFactor = 620;
-    static final float incCycleFactor = 0.80f;
+    static final float incCycleFactor = 1.0f;
     static final double incReleaseFactor = 1.0f;
     final Object testInst;
     final List<String> setupQueries = new ArrayList<>();
@@ -32,7 +32,7 @@ final public class TrainTestRunner {
     public void tables(double staticRowFactor, double incRowFactor, String... names) {
         if (Math.max(staticRowFactor, incRowFactor) > maxRowFactor)
             throw new IllegalArgumentException("Row factors cannot be greater than " + maxRowFactor);
-        this.staticRowFactor = 0;  // staticRowFactor;
+        this.staticRowFactor = staticRowFactor;
         this.incRowFactor = incRowFactor;
         tableNames = names;
     }

From e0930035f2b25ff04a6a35fcfb7ac7d708999d10 Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Mon, 22 Jun 2026 19:25:48 -0600
Subject: [PATCH 62/73] Scale updateBy for 1sec cycles

---
 .../io/deephaven/benchmark/tests/train/UpdateByTrainTest.java   | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/src/it/java/io/deephaven/benchmark/tests/train/UpdateByTrainTest.java b/src/it/java/io/deephaven/benchmark/tests/train/UpdateByTrainTest.java
index cdfd8844..a0557da8 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/UpdateByTrainTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/UpdateByTrainTest.java
@@ -43,7 +43,7 @@ void mixedComboNoGroups() {
 
     @Test
     void rollingCombo2Groups() {
-        setup(9, 0.2);  // 0.2 for 100ms, 4.5 for 1s
+        setup(9, 4.5);  // 0.2 for 100ms, 4.5 for 1s
         runner.addSetupQuery(group10K);
         var q = """
         timed.update_by(ops=[avg_contains,max_before,prod_after,ema_tick_op,min_op,sum_op], by=['key1','key2'])

From 11f7985365476d8170fcf5c810b5cc7145e9730f Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Tue, 23 Jun 2026 15:19:17 -0600
Subject: [PATCH 63/73] Added sleep for slow DH startups

---
 .github/scripts/build-benchmark-artifact-remote.sh | 1 +
 1 file changed, 1 insertion(+)

diff --git a/.github/scripts/build-benchmark-artifact-remote.sh b/.github/scripts/build-benchmark-artifact-remote.sh
index 8f679ef0..edce0c0c 100755
--- a/.github/scripts/build-benchmark-artifact-remote.sh
+++ b/.github/scripts/build-benchmark-artifact-remote.sh
@@ -25,6 +25,7 @@ title "- Building Remote Benchmark Artifact on ${HOST} -"
 
 title "-- Building and Verifying --"
 cd ${GIT_DIR}
+sleep 10  # Some JVM command lines start DH slower than others
 mvn verify
 
 title "-- Cleanup After Build  --"

From 7ed69b6926a1a9aa87516a975b28fa4e50e50f1a Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Tue, 23 Jun 2026 15:36:47 -0600
Subject: [PATCH 64/73] Yet more waiting for ZGC

---
 .../benchmark/controller/DeephavenDockerController.java         | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/src/main/java/io/deephaven/benchmark/controller/DeephavenDockerController.java b/src/main/java/io/deephaven/benchmark/controller/DeephavenDockerController.java
index 7df8ee76..609dcce2 100644
--- a/src/main/java/io/deephaven/benchmark/controller/DeephavenDockerController.java
+++ b/src/main/java/io/deephaven/benchmark/controller/DeephavenDockerController.java
@@ -111,7 +111,7 @@ public String getLog() {
 
     void waitForEngineReady() {
         long beginTime = System.currentTimeMillis();
-        while (System.currentTimeMillis() - beginTime < 20000) {
+        while (System.currentTimeMillis() - beginTime < 30000) {
             if (getUrlStatus("http://" + httpHostPort + "/ide/"))
                 return;
             Threads.sleep(100);

From f68564de2fb2470b82bf6b0ad2ce08547f2c3c13 Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Tue, 23 Jun 2026 20:18:33 -0600
Subject: [PATCH 65/73] More p90 100ms j25 huge benchmarks

---
 .github/resources/adhoc-benchmark-docker-compose.yml          | 2 +-
 .../io/deephaven/benchmark/tests/train/TrainTestRunner.java   | 4 ++--
 .../io/deephaven/benchmark/tests/train/UpdateByTrainTest.java | 2 +-
 3 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/.github/resources/adhoc-benchmark-docker-compose.yml b/.github/resources/adhoc-benchmark-docker-compose.yml
index eb148f31..e83c6db9 100644
--- a/.github/resources/adhoc-benchmark-docker-compose.yml
+++ b/.github/resources/adhoc-benchmark-docker-compose.yml
@@ -1,6 +1,6 @@
 services:
   deephaven:
-    image: ghcr.io/stanbrub/server:jvm17
+    image: ghcr.io/stanbrub/server:jvm25
     ports:
       - "${DEEPHAVEN_PORT:-10000}:10000"
     volumes:
diff --git a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
index c8f2313e..5e9d5b24 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/TrainTestRunner.java
@@ -15,7 +15,7 @@
  */
 final public class TrainTestRunner {
     static final int maxRowFactor = 620;
-    static final float incCycleFactor = 1.0f;
+    static final float incCycleFactor = 0.90f;
     static final double incReleaseFactor = 1.0f;
     final Object testInst;
     final List<String> setupQueries = new ArrayList<>();
@@ -32,7 +32,7 @@ final public class TrainTestRunner {
     public void tables(double staticRowFactor, double incRowFactor, String... names) {
         if (Math.max(staticRowFactor, incRowFactor) > maxRowFactor)
             throw new IllegalArgumentException("Row factors cannot be greater than " + maxRowFactor);
-        this.staticRowFactor = staticRowFactor;
+        this.staticRowFactor = 0;  // staticRowFactor;
         this.incRowFactor = incRowFactor;
         tableNames = names;
     }
diff --git a/src/it/java/io/deephaven/benchmark/tests/train/UpdateByTrainTest.java b/src/it/java/io/deephaven/benchmark/tests/train/UpdateByTrainTest.java
index a0557da8..cdfd8844 100644
--- a/src/it/java/io/deephaven/benchmark/tests/train/UpdateByTrainTest.java
+++ b/src/it/java/io/deephaven/benchmark/tests/train/UpdateByTrainTest.java
@@ -43,7 +43,7 @@ void mixedComboNoGroups() {
 
     @Test
     void rollingCombo2Groups() {
-        setup(9, 4.5);  // 0.2 for 100ms, 4.5 for 1s
+        setup(9, 0.2);  // 0.2 for 100ms, 4.5 for 1s
         runner.addSetupQuery(group10K);
         var q = """
         timed.update_by(ops=[avg_contains,max_before,prod_after,ema_tick_op,min_op,sum_op], by=['key1','key2'])

From 0f5c61c4a49ab0e1ea075257c3e32bbc46384991 Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Wed, 24 Jun 2026 16:25:06 -0600
Subject: [PATCH 66/73] 1st try at GC report

---
 docs/gc/gc-report.md                   | 124 +++++++++++++++++++++++++
 docs/gc/inc-j17-1s.summary.png         | Bin 0 -> 134916 bytes
 docs/gc/inc-j17-1s.throughput.png      | Bin 0 -> 228039 bytes
 docs/gc/inc-j25-100ms-p100.summary.png | Bin 0 -> 134471 bytes
 docs/gc/inc-j25-100ms-p80.summary.png  | Bin 0 -> 138629 bytes
 docs/gc/inc-j25-100ms-p90.summary.png  | Bin 0 -> 135930 bytes
 docs/gc/inc-j25-1s.summary.png         | Bin 0 -> 142700 bytes
 docs/gc/inc-j25-1s.throughput.png      | Bin 0 -> 237033 bytes
 docs/gc/static-j17-throughput.png      | Bin 0 -> 252567 bytes
 docs/gc/static-j25-throughput.png      | Bin 0 -> 252764 bytes
 10 files changed, 124 insertions(+)
 create mode 100644 docs/gc/gc-report.md
 create mode 100644 docs/gc/inc-j17-1s.summary.png
 create mode 100644 docs/gc/inc-j17-1s.throughput.png
 create mode 100644 docs/gc/inc-j25-100ms-p100.summary.png
 create mode 100644 docs/gc/inc-j25-100ms-p80.summary.png
 create mode 100644 docs/gc/inc-j25-100ms-p90.summary.png
 create mode 100644 docs/gc/inc-j25-1s.summary.png
 create mode 100644 docs/gc/inc-j25-1s.throughput.png
 create mode 100644 docs/gc/static-j17-throughput.png
 create mode 100644 docs/gc/static-j25-throughput.png

diff --git a/docs/gc/gc-report.md b/docs/gc/gc-report.md
new file mode 100644
index 00000000..91151548
--- /dev/null
+++ b/docs/gc/gc-report.md
@@ -0,0 +1,124 @@
+# Overview
+
+This report provides some insight into how various Deephaven CE operations behave with different Garbage Collectors and settings. It is not possible to test every combination of JVM version, GC option, heap size, data size/cardinality, DHC operation, OS, and hardware platform. What follows are results based on a small subset of the possibilities. Each user will have a different setup, but hopefully we can glean some useful tips from the data that has been collected.
+
+We are covering only JVM 17 and JVM 25. This presents an interesting challenge, because GC options have changed dramatically in the four years in between. For example, ZGC generational didn't exist in JVM 17, while ZGC non-generational doesn't exist in JVM 25. The approach taken here was to use the options that will likely be the defaults in JVM 25+ and then try to use the nearest approximation in JVM 17.
+
+One other thing to note is that, judging by recent jdk release notes, the strategy for GCs going forward is to make GCs more self-tuning. Since the GC's top priority is keeping the application running, the GC can override user-supplied settings if it needs to. The JVM options used for this effort are intentionally minimal and tend to rely more on defaults.
+
+## TL;DR
+
+Here are some highlights from the data:
+- For best Static throughput, use G1 or Parallel
+- For best Ticking throughput, use G1, but expect higher jitter
+- For lowest jitter, use Shenandoah (though it's lower throughput than G1)
+- For best combination of Ticking throughput and jitter, use Shenandoah Huge Pages
+- ZGC struggles with Deephaven cycles, especially Filters, with higher jitter and lower throughput
+- For a boost to throughput on >= 8G heap with low jitter regression, use huge memory pages (THP)
+- No difference in advice between 1sec and 100ms cycles
+
+## The Benchmarks
+
+The benchmarks used for this effort are not the nightly benchmarks, which run single operations typically for 8-10 seconds. Instead a longer running and smaller benchmark set is used that covers categories of operations. This set typically runs for 1.5 mins to 2 mins. The idea is to use few benchmarks to cover much of the operational code base. These are referred to as "Training Benchmarks".
+
+- AggBy: Runs multiple mathematical operations like avg, std, var, min, max, etc
+- Filter: Runs `where_in` and `where` filters
+- Formula: Runs multiple UDFs and Inline Formulas
+- NaturalJoin: Runs a natural join operation
+- Ordered: Runs multiple aggBy ordered operations like median, unique, sorted_first, etc
+- UpdateBy: Runs multiple windowed operations
+
+## Naming Conventions
+
+The set names for the various runs use a naming convention like `<gc-type>_<cycle-time>_<autotune-load>_<jvm>[_<extra>]`
+- gc-type: `g1gc`, `shen`, `zgc`, `para`
+- cycle-time: `1000` (1sec), `100` (100ms)
+- autotune-load: `p80`, `p90`, `p100`, `p110` (Percentage throughput targets)
+- extra: `huge` (THP)
+
+## Supporting Evidence for TL;DR
+
+What follows are charts showing the results of many benchmarks runs using various options. The naming convention for the gc sets displayed have been described previously. First, there are three kinds of summary tables; throughput, jitter, on-budget. There is also a table that combines all three.
+- Throughput: Starting with rows/sec, a normalized fraction starting from 1. So 1.20 would be 20% faster than 1.0.
+- Jitter: Starting with Coefficient of Variation, a normalized fraction starting from 1. So 1.04 would be 4% more jitter than 1.0.
+- On Budget: A percentage a cycles that finished on or below the cycle time (e.g. 1000ms or 100ms)
+
+### Static Data Throughput
+
+The following chart shows Throughput for Static data for JVM 17. G1 comes in first with ZGC a surprising second.
+![Static Throughput for JVM 17](./static-j17.throughput.png)
+
+The following chart shows Throughput for Static data for JVM 25. The story is similar to JVM 17 with G1 in front but followed by parallel GC.
+![Static Throughput for JVM 25](./static-j25.throughput.png)
+
+### Ticking Data Throughput
+
+There are three considerations captured here; throughput, jitter, and on-budget percentage. These can be weighted based on the needs of the workflow. Typically, but not always, higher throughput means higher jitter or lower on-budget percentage.
+
+The following chart shows throughput for JVM 17 with 1s UGP cycles.
+![Ticking Throughput for JVM 17 1s](./inc-j17-1s.throughput.png)
+
+The following chart shows throughput for JVM 25 with 1s UGP cycles.
+![Ticking Throughput for JVM 25 1s](./inc-j25-1s.throughput.png)
+
+The following charts show summaries of JVM 17 and JVM 25 with three factors organized according to their ranks for the benchmarks overall. For example, the values in the "jitter" column are the geometric means for each "gc_type" set when compare to every other set in the table. This gives a ranking of each column that can provide a quicker comparison than a dozen individual tables.
+![GC Summary for JVM 17 1s](./inc-j17-1s.summary.png) ![GC Summary for JVM 25 1s](./inc-j25-1s.summary.png)
+
+The following charts show summaries of JVM 25 for 100ms running at an autotune target of 80%, 90%, and 100%
+![GC Summary 100ms p80](./inc-j25-100ms-p80.summary.png) ![GC Summary 100ms p90](./inc-j25-100ms-p90.summary.png) ![GC Summary 100ms p100](./inc-j25-100ms-p80.summary.png)
+
+## Test Setup
+
+- OS: Ubuntu 24.04
+- Hardware: Intel(R) Xeon(R) E-2388G (8C/16T), 64G DDR4-3200, NVME drive
+- OS Settings: THPMode=madvise, CPUPower=schedutil, ASLR=disabled
+- Java: 48G Heap, Temurin 17 and 25
+- Container: Docker Images built from a recent edge build
+- Test Iterations: 7
+- Static Data Provider: Parquet
+- Ticking Data Provider: Autotuning Incremental Release Filter from Parquet
+
+## JVM Options
+
+The strategy for the JVM options selected for each JVM (e.g. 17, 25) was to make them equivalent. Of course, this was impossible, because different options are supported in different versions of the same GC. For the JVM 25 options, an attempt was made to use options that will be the defaults in future versions of the JVM.
+
+The JVM options used for these benchmarks are as follows:
+- All GCs: `-Xms48g -Xmx48g -XX:+UseStringDeduplication -DPeriodicUpdateGraph.targetCycleDurationMillis=<100 or 1000>`
+- Huge: `-XX:+AlwaysPreTouch -XX:+UseTransparentHugePages`
+- JDK 17
+  - G1GC: `-XX:+UseG1GC -XX:G1HeapRegionSize=32m -XX:+G1UseAdaptiveIHOP`
+  - ParallelGC: `-XX:+UseParallelGC -XX:ParallelGCThreads=13 `
+  - Shenandoah: `-XX:+UseShenandoahGC -XX:+UnlockExperimentalVMOptions -XX:+ShenandoahImplicitGCInvokesConcurrent`
+  - ZGC: `-XX:+UseZGC -XX:ConcGCThreads=6`
+- JDK 25
+  - G1GC: `-XX:+UseG1GC -XX:+UseCompactObjectHeaders`
+  - ParallelGC: `-XX:+UseParallelGC -XX:+UseCompactObjectHeaders`
+  - Shenandoah: `-XX:+UseShenandoahGC -XX:ShenandoahGCMode=generational -XX:+UseCompactObjectHeaders`
+  - ZGC: `-XX:+UseZGC -XX:+UseCompactObjectHeaders`
+  
+### What are Huge Memory Pages?
+
+All of the benchmarks sets that end with "_huge" have the options `-XX:+AlwaysPreTouch -XX:+UseTransparentHugePages`. In a nutshell, these options pair well together to initialize huge memory pages (e.g. 2MB) at JVM init. This provides better memory performance for larger heaps (> 8G) but can suffer from larger startup costs. In these benchmarks THP provided sizable throughput increases for some benchmarks like natural join in exchange for a small increase in jitter.
+
+What about `-XX:+UseLargePages`? These have not been tested but could provide similar benefits as THP but with a faster JVM startup time, since they are preallocated during OS start. This requires strict rules, however, and is best for systems that are locked down in terms of memory configuration. It is tricky to size as well, since it is used for more than just JVM heap, and that depends on JVM version.
+
+### What are Compact Headers?
+
+The `-XX:+UseCompactObjectHeaders` options cuts the Java Object header in half (16 to 8 bytes) to reduce object footprint and improve cache utilization. Systems that use lots of small objects can benefit with better throughput. Minimal testing for Deephaven showed no change in performance, but it the option will be a default in JVM 26+.
+
+## Needed for Further Investigation
+
+In order to improve investigations like this one, we need much more information on how customers are using Deephaven. Without violating any NDA, we should be able to produce the following:
+
+- Query structure and complexity like a flow chart for the table chains
+- General order of operations. Do they filter first, then agg, then sort?
+- Static and ticking schema width, column types, and value cardinality
+- Complexity of inline formulas and UDFs
+- Type of hardware and containerization
+- Java heap and cpu thread count typically used
+- Where the data typically comes from. DHE live tables? Kafka? Parquet?
+
+
+
+
+
diff --git a/docs/gc/inc-j17-1s.summary.png b/docs/gc/inc-j17-1s.summary.png
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HcmV?d00001


From d580534e2e75371cb97bb9c624eb3304ee70eecb Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Thu, 25 Jun 2026 11:11:18 -0600
Subject: [PATCH 67/73] Reformatted summary tables

---
 docs/gc/gc-report.md | 13 +++++++++++--
 1 file changed, 11 insertions(+), 2 deletions(-)

diff --git a/docs/gc/gc-report.md b/docs/gc/gc-report.md
index 91151548..66013a57 100644
--- a/docs/gc/gc-report.md
+++ b/docs/gc/gc-report.md
@@ -62,10 +62,19 @@ The following chart shows throughput for JVM 25 with 1s UGP cycles.
 ![Ticking Throughput for JVM 25 1s](./inc-j25-1s.throughput.png)
 
 The following charts show summaries of JVM 17 and JVM 25 with three factors organized according to their ranks for the benchmarks overall. For example, the values in the "jitter" column are the geometric means for each "gc_type" set when compare to every other set in the table. This gives a ranking of each column that can provide a quicker comparison than a dozen individual tables.
-![GC Summary for JVM 17 1s](./inc-j17-1s.summary.png) ![GC Summary for JVM 25 1s](./inc-j25-1s.summary.png)
+
+<table><tr>
+<td><img src="./inc-j17-1s.summary.png" alt="GC Summary for JVM 17 1s"></td>
+<td><img src="./inc-j25-1s.summary.png" alt="GC Summary for JVM 25 1s"></td>
+</tr></table>
 
 The following charts show summaries of JVM 25 for 100ms running at an autotune target of 80%, 90%, and 100%
-![GC Summary 100ms p80](./inc-j25-100ms-p80.summary.png) ![GC Summary 100ms p90](./inc-j25-100ms-p90.summary.png) ![GC Summary 100ms p100](./inc-j25-100ms-p80.summary.png)
+
+<table><tr>
+<td><img src="./inc-j25-100ms-p80.summary.png" alt="GC Summary 100ms p80"></td>
+<td><img src="./inc-j25-100ms-p90.summary.png" alt="GC Summary 100ms p90"></td>
+<td><img src="./inc-j25-100ms-p80.summary.png" alt="GC Summary 100ms p100"></td>
+</tr></table>
 
 ## Test Setup
 

From 390f0192695a3275841676fe366fa8225ad36f0e Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Thu, 25 Jun 2026 11:19:22 -0600
Subject: [PATCH 68/73] Fixed static names

---
 docs/gc/gc-report.md                                |   2 +-
 ...-throughput.png => static-j17-1s.throughput.png} | Bin
 ...-throughput.png => static-j25-1s.throughput.png} | Bin
 3 files changed, 1 insertion(+), 1 deletion(-)
 rename docs/gc/{static-j17-throughput.png => static-j17-1s.throughput.png} (100%)
 rename docs/gc/{static-j25-throughput.png => static-j25-1s.throughput.png} (100%)

diff --git a/docs/gc/gc-report.md b/docs/gc/gc-report.md
index 66013a57..7b74ee35 100644
--- a/docs/gc/gc-report.md
+++ b/docs/gc/gc-report.md
@@ -73,7 +73,7 @@ The following charts show summaries of JVM 25 for 100ms running at an autotune t
 <table><tr>
 <td><img src="./inc-j25-100ms-p80.summary.png" alt="GC Summary 100ms p80"></td>
 <td><img src="./inc-j25-100ms-p90.summary.png" alt="GC Summary 100ms p90"></td>
-<td><img src="./inc-j25-100ms-p80.summary.png" alt="GC Summary 100ms p100"></td>
+<td><img src="./inc-j25-100ms-p100.summary.png" alt="GC Summary 100ms p100"></td>
 </tr></table>
 
 ## Test Setup
diff --git a/docs/gc/static-j17-throughput.png b/docs/gc/static-j17-1s.throughput.png
similarity index 100%
rename from docs/gc/static-j17-throughput.png
rename to docs/gc/static-j17-1s.throughput.png
diff --git a/docs/gc/static-j25-throughput.png b/docs/gc/static-j25-1s.throughput.png
similarity index 100%
rename from docs/gc/static-j25-throughput.png
rename to docs/gc/static-j25-1s.throughput.png

From 8989a849961599a152882f3626a8f5c026888e8f Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Thu, 25 Jun 2026 11:22:21 -0600
Subject: [PATCH 69/73] Fixed png names

---
 ...-1s.throughput.png => static-j17.throughput.png} | Bin
 ...-1s.throughput.png => static-j25.throughput.png} | Bin
 2 files changed, 0 insertions(+), 0 deletions(-)
 rename docs/gc/{static-j17-1s.throughput.png => static-j17.throughput.png} (100%)
 rename docs/gc/{static-j25-1s.throughput.png => static-j25.throughput.png} (100%)

diff --git a/docs/gc/static-j17-1s.throughput.png b/docs/gc/static-j17.throughput.png
similarity index 100%
rename from docs/gc/static-j17-1s.throughput.png
rename to docs/gc/static-j17.throughput.png
diff --git a/docs/gc/static-j25-1s.throughput.png b/docs/gc/static-j25.throughput.png
similarity index 100%
rename from docs/gc/static-j25-1s.throughput.png
rename to docs/gc/static-j25.throughput.png

From dd15089945c3994c7bef2785cf0a7be8509642a9 Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Mon, 29 Jun 2026 22:23:42 -0600
Subject: [PATCH 70/73] Fixed inc memory leak. Made train dashboard.

---
 docs/gc/gc-report.md                          |   3 +-
 .../benchmark/api/BenchPlatform.java          |  10 +-
 .../deephaven/benchmark/api/BenchQuery.java   |   9 +-
 .../benchmark/connect/BarrageConnector.java   |  18 +-
 .../queries/dashboards/train_dashboard.dh.py  | 696 ++++++++++++++++++
 5 files changed, 724 insertions(+), 12 deletions(-)
 create mode 100644 src/main/resources/io/deephaven/benchmark/run/profile/queries/dashboards/train_dashboard.dh.py

diff --git a/docs/gc/gc-report.md b/docs/gc/gc-report.md
index 7b74ee35..9deb5c2e 100644
--- a/docs/gc/gc-report.md
+++ b/docs/gc/gc-report.md
@@ -113,7 +113,7 @@ What about `-XX:+UseLargePages`? These have not been tested but could provide si
 
 ### What are Compact Headers?
 
-The `-XX:+UseCompactObjectHeaders` options cuts the Java Object header in half (16 to 8 bytes) to reduce object footprint and improve cache utilization. Systems that use lots of small objects can benefit with better throughput. Minimal testing for Deephaven showed no change in performance, but it the option will be a default in JVM 26+.
+The `-XX:+UseCompactObjectHeaders` option cuts the Java Object header in half (16 to 8 bytes) to reduce object footprint and improve cache utilization. Systems that use lots of small objects can benefit with better throughput. Minimal testing for Deephaven showed no significant change in performance, but the option will be a default in JVM 26+.
 
 ## Needed for Further Investigation
 
@@ -126,6 +126,7 @@ In order to improve investigations like this one, we need much more information
 - Type of hardware and containerization
 - Java heap and cpu thread count typically used
 - Where the data typically comes from. DHE live tables? Kafka? Parquet?
+- What JVM options have already been tried in the field
 
 
 
diff --git a/src/main/java/io/deephaven/benchmark/api/BenchPlatform.java b/src/main/java/io/deephaven/benchmark/api/BenchPlatform.java
index 1266eac5..aa812817 100644
--- a/src/main/java/io/deephaven/benchmark/api/BenchPlatform.java
+++ b/src/main/java/io/deephaven/benchmark/api/BenchPlatform.java
@@ -180,7 +180,7 @@ def bench_api_add_proc_info(name, proctype, prockeys, delim=' '):
         def bench_api_add_proc_args(name, proctype, len_name, includes=(), excludes=()):
             prockeys = []
             for i in range(int(bench_api_get_proc_info(proctype,len_name))):
-                value = bench_api_get_proc_info('runtime-mx.jvm-args',str(i))
+                value = bench_api_get_proc_info(proctype,str(i))
                 if(value.startswith(includes) and not value.startswith(excludes)):
                     prockeys.append(str(i))
             bench_api_add_proc_info(name, proctype, prockeys)
@@ -195,11 +195,15 @@ def bench_api_add_proc_args(name, proctype, len_name, includes=(), excludes=()):
         bench_api_add_proc_info('java.version','runtime-mx.sys-props',['java.vendor.version'])
         bench_api_add_proc_info('java.max.heap','memory-mx.heap',['max'])
         bench_api_add_platform('java.available.processors',Runtime.getRuntime().availableProcessors())
-        bench_api_add_proc_args('java.xx.args','runtime-mx.jvm-args','len',('-XX'),('-XX:CompilerDirectivesFile=','-XX:+UnlockD'))
+        bench_api_add_proc_args('java.xx.args','runtime-mx.jvm-args','len',('-XX'),('-XX:CompilerDirectivesFile=',
+            '-XX:+UnlockD'))
+        bench_api_add_proc_args('java.d.args','runtime-mx.jvm-args','len',('-D'),('-Dauthentication','-DAuthHandlers',
+            '-Ddeephaven.console'))
         dhInst = jpy.get_type('io.deephaven.engine.exceptions.ArgumentException')()
         deephaven_version = dhInst.getClass().getPackage().getImplementationVersion()
         bench_api_add_platform('deephaven.version', deephaven_version)
-        python_version = '.'.join([str(sys.version_info.major), str(sys.version_info.minor), str(sys.version_info.micro)])
+        python_version = '.'.join([str(sys.version_info.major), str(sys.version_info.minor),
+            str(sys.version_info.micro)])
         bench_api_add_platform('python.version', python_version)
         
         # Java Dependency Versions
diff --git a/src/main/java/io/deephaven/benchmark/api/BenchQuery.java b/src/main/java/io/deephaven/benchmark/api/BenchQuery.java
index 358c4a3e..255588bf 100644
--- a/src/main/java/io/deephaven/benchmark/api/BenchQuery.java
+++ b/src/main/java/io/deephaven/benchmark/api/BenchQuery.java
@@ -107,8 +107,13 @@ public void close() {
             return;
 
         if (!conn.getUsedVariableNames().isEmpty()) {
-            String logic = String.join("=None; ", conn.getUsedVariableNames()) + "=None\n";
-            executeBarrageQuery(logic);
+            StringBuilder sb = new StringBuilder();
+            sb.append("from deephaven.execution_context import get_exec_ctx\n");
+            sb.append("_qs = get_exec_ctx().j_exec_ctx.getQueryScope()\n");
+            for (String name : conn.getUsedVariableNames()) {
+                sb.append("_qs.putParam('").append(name).append("', None)\n");
+            }
+            executeBarrageQuery(sb.toString());
         }
     }
 
diff --git a/src/main/java/io/deephaven/benchmark/connect/BarrageConnector.java b/src/main/java/io/deephaven/benchmark/connect/BarrageConnector.java
index 85cc3c3f..d2a954f8 100644
--- a/src/main/java/io/deephaven/benchmark/connect/BarrageConnector.java
+++ b/src/main/java/io/deephaven/benchmark/connect/BarrageConnector.java
@@ -182,12 +182,8 @@ public void close() {
         if (isClosed.get())
             return;
         isClosed.set(true);
-        subscriptions.keySet().forEach(t -> {
-            closeSubscription(t);
-        });
-        snapshots.keySet().forEach(t -> {
-            closeSubscription(t);
-        });
+        new ArrayList<>(subscriptions.keySet()).forEach(this::closeSubscription);
+        new ArrayList<>(snapshots.keySet()).forEach(this::closeSnapshot);
         variableNames.clear();
 
         try {
@@ -227,6 +223,16 @@ private void closeSubscription(String tableName) {
         }
     }
 
+    private void closeSnapshot(String tableName) {
+        try {
+            var snapshot = snapshots.remove(tableName);
+            if (snapshot != null)
+                snapshot.handle.close();
+        } catch (Exception ex) {
+            Log.info("Failed to close handle for snapshot: %s", tableName);
+        }
+    }
+
     private FieldInfo findTable(String table) {
         Optional<FieldInfo> found =
                 changes.changes().created().stream().filter(f -> f.name().equals(table)).findFirst();
diff --git a/src/main/resources/io/deephaven/benchmark/run/profile/queries/dashboards/train_dashboard.dh.py b/src/main/resources/io/deephaven/benchmark/run/profile/queries/dashboards/train_dashboard.dh.py
new file mode 100644
index 00000000..21f55ae4
--- /dev/null
+++ b/src/main/resources/io/deephaven/benchmark/run/profile/queries/dashboards/train_dashboard.dh.py
@@ -0,0 +1,696 @@
+# Copyright (c) 2026-2026 Deephaven Data Labs and Patent Pending
+#
+# Deephaven Train dashboard for visualizing benchmark data captured with the training benchmarks.
+# The dashboard shows the throughput, jitter, and cycle budget metrics for different sets of JVM options.
+#
+# Requirements: Deephaven 41.3 or greater
+#
+# ruff: noqa: F821
+from urllib.request import urlopen; import os
+from deephaven import ui
+from deephaven.ui import use_memo, use_state
+from deephaven.execution_context import get_exec_ctx
+from deephaven import pandas as dhpd
+import deephaven.plot.express as dx
+import numpy as np
+
+prefix = "gc_"
+
+COLORS = [
+    "#636EFA", "#EF553B", "#00CC96", "#AB63FA",
+    "#FFA15A", "#19D3F3", "#FF6692", "#B6E880",
+    "#FF97FF", "#FECB52",
+]
+
+root = 'file:///data' if os.path.exists('/data/deephaven-benchmark') else 'https://storage.googleapis.com'
+with urlopen(f'{root}/deephaven-benchmark/benchmark_functions.dh.py') as r:
+    exec(r.read().decode(), globals(), locals())
+    storage_uri = f'{root}/deephaven-benchmark'
+
+# These globals are set by the dashboard component on each render
+actor = "Final-gc-report"
+static_inc_filter = 'Inc'
+benchmark_filter = "*"
+cycle_budget_ms = 100
+autotune_pct = '100'
+jvm_version = '25'
+setid_filter = f'*_{cycle_budget_ms}_p{autotune_pct}_j{jvm_version}*'
+bench_result_sets = None
+bench_results = None
+bench_metrics = None
+bench_events = None
+gc_metrics = None
+
+# Load raw tables once at module level (just table handles; data stays on server)
+_raw_rs, _raw_br = load_table_or_empty('result_sets', storage_uri, 'adhoc', actor, prefix)
+_raw_rs = _raw_rs.where("origin = `deephaven-engine`")
+_raw_br = _raw_br.where("origin = `deephaven-engine`")
+_raw_bm = load_table_or_empty('metrics', storage_uri, 'adhoc', actor, prefix)
+_raw_be = load_table_or_empty('events', storage_uri, 'adhoc', actor, prefix)
+
+def filter_benchmarks(table):
+    if not benchmark_filter: return table
+    benchmark_regex = "|".join(p.strip().replace("*", ".*") for p in benchmark_filter.split(","))
+    setid_regex = "|".join(p.strip().replace("*", ".*") for p in setid_filter.split(","))
+    filters = [
+        f"benchmark_name.matches(`{benchmark_regex}`)",
+        f"set_id.matches(`{setid_regex}`)",
+    ]
+    if static_inc_filter:
+        type_regex = "|".join(f".*{t.strip()}.*" for t in static_inc_filter.split(","))
+        filters.append(f"benchmark_name.matches(`{type_regex}`)")
+    return table.where(filters)
+
+def get_metric_table(metric_name, col_type, metric_table=gc_metrics):
+    setids = metric_table.select_distinct(['set_id'])
+    benchmarks = metric_table.select_distinct(['benchmark_name'])
+    names = metric_table.select_distinct(['name'])
+    all_combos = benchmarks.join(setids).join(names)
+    base = all_combos.natural_join(
+        metric_table.view(['benchmark_name','set_id','name','value']),
+        ['benchmark_name','set_id','name']
+    )
+    tbl = base.group_by(['benchmark_name','name'])
+    for idx, (setid,) in enumerate(setids.iter_tuple()):
+        setid = setid.replace(actor + '/' + prefix,'')
+        tbl = tbl.update(f"{setid}=({col_type})value[{idx}]")
+    return tbl.where([f"name=`{metric_name}`"]).drop_columns(['name','set_id','value']) \
+        .sort(['benchmark_name'])
+
+def get_event_time_table(event_type, metric_name, col_type, agg, value_col='value'):
+    gc_events = bench_result_sets.join(bench_events, ['benchmark_name','origin','set_id'],
+        ['type','start','duration','name','value']).sort(['set_id'])
+    tbl = gc_events.where([f"type=`{event_type}`"]).group_by(['benchmark_name','set_id','name']) \
+        .update([f"value={agg}({value_col})/1_000_000_000"])
+    return get_metric_table(metric_name, col_type, tbl)
+
+def get_throughput_table():
+    setids = bench_result_sets.select_distinct(['set_id'])
+    benchmarks = bench_result_sets.select_distinct(['benchmark_name'])
+    all_combos = benchmarks.join(setids)
+    base = all_combos.natural_join(
+        bench_result_sets.view(['benchmark_name','set_id','op_rate','op_duration']),
+        ['benchmark_name','set_id']
+    )
+    tbl = base.group_by(['benchmark_name']) \
+        .update(['max=max(op_rate)','min=min(op_rate)']) \
+        .ungroup(['set_id','op_rate','op_duration']) \
+        .update(['op_factor=op_rate/min']) \
+        .group_by(['benchmark_name']) \
+        .update(['max=max(op_factor)','min=min(op_factor)'])
+    for idx, (setid,) in enumerate(setids.iter_tuple()):
+        setid_clean = setid.replace(actor + '/' + prefix,'')
+        tbl = tbl.update(f"{setid_clean}=op_factor[{idx}]") \
+            .format_columns(f"{setid_clean} = {setid_clean}=max ? DEEP_GREEN : {setid_clean}=min ? DEEP_RED : NO_FORMATTING")
+    return tbl.drop_columns(['set_id','op_rate','max','min','op_duration','op_factor']).sort(['benchmark_name'])
+
+def get_jitter_table():
+    gc_events = bench_result_sets.join(bench_events, ['benchmark_name','origin','set_id'],
+        ['type','start','duration','name','value']).sort(['set_id'])
+    jitter = gc_events.where(["type=`server_state_log`", "name=`ugp.cycle.time`"]) \
+        .group_by(['benchmark_name','set_id']) \
+        .update(['jitter=sqrt(avg(value * value - avg(value) * avg(value)))/avg(value)'])
+    setids = bench_result_sets.select_distinct(['set_id'])
+    benchmarks = jitter.select_distinct(['benchmark_name'])
+    all_combos = benchmarks.join(setids)
+    base = all_combos.natural_join(
+        jitter.view(['benchmark_name','set_id','jitter']),
+        ['benchmark_name','set_id']
+    )
+    tbl = base.group_by(['benchmark_name']) \
+        .update(['max=max(jitter)','min=min(jitter)']) .ungroup(['set_id','jitter']) \
+        .update(['jitter_factor=jitter/min']).group_by(['benchmark_name']) \
+        .update(['max=max(jitter_factor)','min=min(jitter_factor)'])
+    for idx, (setid,) in enumerate(setids.iter_tuple()):
+        setid = setid.replace(actor + '/' + prefix, '')
+        tbl = tbl.update(f"{setid}=(double)jitter_factor[{idx}]") \
+            .format_columns(f"{setid} = {setid}=max ? DEEP_RED : {setid}=min ? DEEP_GREEN : NO_FORMATTING")
+    return tbl.drop_columns(['set_id','jitter','jitter_factor','max','min']).sort(['benchmark_name'])
+
+def get_cycle_onbudget_table():
+    budget_nanos = cycle_budget_ms * 1_000_000
+    gc_events = bench_result_sets.join(bench_events, ['benchmark_name','origin','set_id'],
+        ['type','start','duration','name','value']).sort(['set_id'])
+    cycle_events = gc_events.where(["type=`server_state_log`", "name=`ugp.cycle.time`"])
+    total = cycle_events.count_by('total', ['benchmark_name','set_id'])
+    under = cycle_events.where(f"value <= {budget_nanos}L").count_by('under', ['benchmark_name','set_id'])
+    cycles = total.join(under, ['benchmark_name','set_id'], ['under']) \
+        .update(['pct_under_budget = 100.0 * under / total'])
+    setids = bench_result_sets.select_distinct(['set_id'])
+    benchmarks = cycles.select_distinct(['benchmark_name'])
+    all_combos = benchmarks.join(setids)
+    base = all_combos.natural_join(
+        cycles.view(['benchmark_name','set_id','pct_under_budget']),
+        ['benchmark_name','set_id']
+    )
+    tbl = base.group_by(['benchmark_name']) \
+        .update(['max=max(pct_under_budget)','min=min(pct_under_budget)']) \
+        .ungroup(['set_id','pct_under_budget']) \
+        .group_by(['benchmark_name']) \
+        .update(['max=max(pct_under_budget)','min=min(pct_under_budget)'])
+    for idx, (setid,) in enumerate(setids.iter_tuple()):
+        setid = setid.replace(actor + '/' + prefix, '')
+        tbl = tbl.update(f"{setid}=(double)pct_under_budget[{idx}]") \
+            .format_columns(f"{setid} = {setid}==max ? DEEP_GREEN : {setid}==min ? DEEP_RED : NO_FORMATTING")
+    return tbl.drop_columns(['set_id','pct_under_budget','max','min']).sort(['benchmark_name'])
+
+def get_throughput_hilow_table():
+    return bench_results.view(['benchmark_name','set_id','op_rate']).group_by(['benchmark_name','set_id']) \
+        .update(['E=1.96*(std(op_rate)/sqrt(count(op_rate)))', 'M=avg(op_rate)', 'L=max(0,M-E)', 'H=M+E',
+            'set_id=set_id.replace(actor + "/" + prefix,"")'])
+
+def add_summary_rows(tbl, higher_is_better=True, use_geo_mean=True):
+    from deephaven import pandas as dhpd
+    import pandas as pd
+
+    visible_cols = [col.name for col in tbl.columns if '__TABLE_STYLE_FORMAT' not in col.name]
+    df = dhpd.to_pandas(tbl.view(visible_cols))
+    gc_cols = [c for c in visible_cols if c != 'benchmark_name']
+
+    row = {'benchmark_name': 'GEO MEAN' if use_geo_mean else 'MEAN'}
+    for gc in gc_cols:
+        vals = df[gc].dropna().values.astype(float)
+        if use_geo_mean:
+            vals = vals[vals > 0]
+            row[gc] = float(np.exp(np.log(vals).mean())) if len(vals) > 0 else float('nan')
+        else:
+            row[gc] = float(vals.mean()) if len(vals) > 0 else float('nan')
+
+    full_df = pd.concat([df, pd.DataFrame([row])], ignore_index=True)
+    result = dhpd.to_table(full_df)
+
+    max_expr = 'max(' + ','.join(gc_cols) + ')'
+    min_expr = 'min(' + ','.join(gc_cols) + ')'
+    result = result.update([f'max_val={max_expr}', f'min_val={min_expr}'])
+    for gc in gc_cols:
+        if higher_is_better:
+            result = result.format_columns(f"{gc} = {gc}==max_val ? DEEP_GREEN : {gc}==min_val ? DEEP_RED : NO_FORMATTING")
+        else:
+            result = result.format_columns(f"{gc} = {gc}==min_val ? DEEP_GREEN : {gc}==max_val ? DEEP_RED : NO_FORMATTING")
+    return result.drop_columns(['max_val', 'min_val'])
+
+def get_summary_table():
+    from deephaven.column import string_col, double_col
+    from deephaven import new_table, pandas as dhpd
+
+    tput_tbl = get_throughput_table()
+
+    def visible_cols(tbl):
+        return [c.name for c in tbl.columns if c.name != 'benchmark_name' and '__TABLE_STYLE_FORMAT' not in c.name]
+
+    def geo_mean(df, col):
+        vals = df[col].dropna().values.astype(float)
+        vals = vals[vals > 0]
+        return float(np.exp(np.log(vals).mean())) if len(vals) > 0 else float('nan')
+
+    tput_cols = visible_cols(tput_tbl)
+    tput_df = dhpd.to_pandas(tput_tbl.view(['benchmark_name'] + tput_cols))
+
+    columns = [
+        string_col("gc_type", tput_cols),
+        double_col("throughput_factor", [geo_mean(tput_df, gc) for gc in tput_cols]),
+    ]
+
+    import math
+    try:
+        jit_tbl = get_jitter_table()
+        jit_cols = visible_cols(jit_tbl)
+        jit_df = dhpd.to_pandas(jit_tbl.view(['benchmark_name'] + jit_cols))
+        jit_vals = [geo_mean(jit_df, gc) for gc in jit_cols]
+        if not all(math.isnan(v) for v in jit_vals):
+            columns.append(double_col("jitter_factor", jit_vals))
+    except Exception:
+        pass
+
+    try:
+        cc_tbl = get_cycle_onbudget_table()
+        cc_cols = visible_cols(cc_tbl)
+        cc_df = dhpd.to_pandas(cc_tbl.view(['benchmark_name'] + cc_cols))
+        budget_col = f"pct_under_{cycle_budget_ms}ms"
+        cc_vals = [float(cc_df[gc].dropna().mean()) for gc in cc_cols]
+        if not all(math.isnan(v) for v in cc_vals):
+            columns.append(double_col(budget_col, cc_vals))
+    except Exception:
+        pass
+
+    return new_table(columns)
+
+_ctx = get_exec_ctx()
+
+def _compute_rank(t):
+    with _ctx:
+        return t.update_view(["Rank = ii + 1"])
+
+
+@ui.component
+def gc_dashboard():
+    # --- Filter state ---
+    static_inc_val, set_static_inc = use_state("Inc")
+    cycle_budget_str, set_cycle_budget = use_state("100")
+    autotune_val, set_autotune = use_state("100")
+    jvm_val, set_jvm = use_state("25")
+
+    # Applied state — tables only recompute when Apply is clicked
+    applied, set_applied = use_state({
+        "static_inc": "Inc",
+        "cycle_budget": "100", "autotune": "100", "jvm": "25",
+    })
+
+    def handle_apply():
+        set_applied({
+            "static_inc": static_inc_val,
+            "cycle_budget": cycle_budget_str, "autotune": autotune_val, "jvm": jvm_val,
+        })
+
+    # Derived from applied (committed) values
+    a_cycle = applied["cycle_budget"]
+    a_autotune = applied["autotune"]
+    a_jvm = applied["jvm"]
+    cycle_budget_ms_local = int(a_cycle) if a_cycle.isdigit() else 100
+    setid_filter_local = f'*_{a_cycle}_p{a_autotune}_j{a_jvm}*'
+
+    def compute_tables():
+        global actor, static_inc_filter, benchmark_filter, cycle_budget_ms, autotune_pct, jvm_version
+        global setid_filter, bench_result_sets, bench_results, bench_metrics, bench_events, gc_metrics
+        static_inc_filter = applied["static_inc"]
+        benchmark_filter = "*"
+        cycle_budget_ms = cycle_budget_ms_local
+        autotune_pct = a_autotune
+        jvm_version = a_jvm
+        setid_filter = setid_filter_local
+
+        rs = _raw_rs.sort(['set_id'])
+        br = _raw_br.sort(['set_id'])
+        bm = _raw_bm
+        be = _raw_be
+
+        rs, br, bm, be = [filter_benchmarks(t) for t in [rs, br, bm, be]]
+        bench_result_sets = rs
+        bench_results = br
+        bench_metrics = bm
+        bench_events = be
+        gc_metrics = rs.join(bm, ['benchmark_name','origin','set_id'], ['name','value']).sort(['set_id'])
+
+        from deephaven import new_table
+        from deephaven.column import string_col
+
+        def _empty(label="No data"):
+            return new_table([string_col("benchmark_name", [label])])
+
+        # Strip filter substring and Static/Inc prefix from names
+        substr = f"_{a_cycle}_p{a_autotune}_j{a_jvm}"
+        inc_static = applied["static_inc"]
+        def _clean_name(name):
+            import re
+            name = name.replace(substr, '')
+            name = re.sub(rf'[\s_-]*{re.escape(inc_static)}[\s_-]*', '_', name)
+            name = name.strip('_')
+            return name
+        def _rename(tbl):
+            format_cols = [c.name for c in tbl.columns if '__TABLE_STYLE_FORMAT' in c.name]
+            if format_cols:
+                tbl = tbl.drop_columns(format_cols)
+            renames = []
+            for c in tbl.columns:
+                new_name = _clean_name(c.name)
+                if new_name != c.name:
+                    renames.append(f"{new_name}={c.name}")
+            if renames:
+                tbl = tbl.rename_columns(renames)
+            # Also clean gc_type and benchmark_name cell values
+            col_names = [c.name for c in tbl.columns]
+            import re
+            def _clean_expr(col):
+                return f'{col} = {col}.replace(`{substr}`, ``).replaceAll(`[\\\\s_-]*{re.escape(inc_static)}[\\\\s_-]*`, `_`).replaceAll(`^_|_$`, ``)'
+            if "gc_type" in col_names:
+                tbl = tbl.update_view([_clean_expr('gc_type')])
+            if "benchmark_name" in col_names:
+                tbl = tbl.update_view([_clean_expr('benchmark_name')])
+            return tbl
+
+        try:
+            t_summary = _rename(get_summary_table())
+        except Exception:
+            t_summary = _empty("No summary data for this filter combination")
+
+        try:
+            t_throughput = add_summary_rows(_rename(get_throughput_table()), higher_is_better=True)
+        except Exception as e:
+            import traceback; traceback.print_exc()
+            t_throughput = _empty(f"Throughput error: {e}")
+
+        try:
+            t_jitter = add_summary_rows(_rename(get_jitter_table()), higher_is_better=False)
+        except Exception as e:
+            import traceback; traceback.print_exc()
+            t_jitter = _empty(f"Jitter error: {e}")
+
+        try:
+            t_on_budget = _rename(get_cycle_onbudget_table())
+            t_on_budget = add_summary_rows(t_on_budget, higher_is_better=True, use_geo_mean=False)
+            cc_cols = [col.name for col in t_on_budget.columns if col.name != 'benchmark_name' and '__TABLE_STYLE_FORMAT' not in col.name]
+            t_on_budget = t_on_budget.format_columns([f"{c} = Decimal(`0.00'%'`)" for c in cc_cols])
+        except Exception as e:
+            import traceback; traceback.print_exc()
+            t_on_budget = _empty(f"On-budget error: {e}")
+
+        return t_summary, t_throughput, t_jitter, t_on_budget
+
+    gc_summary, gc_throughput, gc_jitter, gc_on_budget = use_memo(
+        compute_tables, [applied]
+    )
+
+    filter_label = f"{applied['static_inc']} | {a_cycle}ms | p{a_autotune} | j{a_jvm}"
+
+    controls = ui.flex(
+        ui.picker(
+            "Static", "Inc",
+            label="Static/Inc",
+            selected_key=static_inc_val,
+            on_selection_change=set_static_inc,
+        ),
+        ui.picker(
+            "100", "1000",
+            label="Cycle Budget (ms)",
+            selected_key=cycle_budget_str,
+            on_selection_change=set_cycle_budget,
+        ),
+        ui.picker(
+            "80", "90", "100", "110",
+            label="Autotune %",
+            selected_key=autotune_val,
+            on_selection_change=set_autotune,
+        ),
+        ui.picker(
+            "17", "25",
+            label="JVM Version",
+            selected_key=jvm_val,
+            on_selection_change=set_jvm,
+        ),
+        ui.button("Apply", on_press=handle_apply, variant="accent"),
+        direction="row",
+        gap="size-200",
+        align_items="end",
+        flex_grow=0,
+        flex_shrink=0,
+    )
+
+    is_inc = applied["static_inc"] != "Static"
+
+    top_row = ui.flex(
+        ui.flex(
+            ui.heading(f"GC Summary — {filter_label}", level=4),
+            ui.table(gc_summary),
+            direction="column", flex_grow=1,
+        ),
+        ui.flex(
+            ui.heading(f"GC Throughput — {filter_label}", level=4),
+            ui.table(gc_throughput),
+            direction="column", flex_grow=1,
+        ),
+        direction="row", flex_grow=1, gap="size-200",
+    )
+
+    content = [controls, top_row]
+
+    if is_inc:
+        bottom_row = ui.flex(
+            ui.flex(
+                ui.heading(f"GC Jitter — {filter_label}", level=4),
+                ui.table(gc_jitter),
+                direction="column", flex_grow=1,
+            ),
+            ui.flex(
+                ui.heading(f"GC On Budget — {filter_label}", level=4),
+                ui.table(gc_on_budget),
+                direction="column", flex_grow=1,
+            ),
+            direction="row", flex_grow=1, gap="size-200",
+        )
+        content.append(bottom_row)
+
+    return ui.flex(
+        *content,
+        direction="column",
+        flex_grow=1,
+        gap="size-100",
+        UNSAFE_style={"height": "100%", "overflow": "auto"},
+    )
+
+
+@ui.component
+def gc_distribution_dashboard():
+    # --- Filter state (uncommitted until Apply) ---
+    static_inc_val, set_static_inc = use_state("Inc")
+    cycle_budget_str, set_cycle_budget = use_state("100")
+    autotune_val, set_autotune = use_state("100")
+    jvm_val, set_jvm = use_state("25")
+    selected_bench, set_selected_bench = use_state(None)
+
+    # Applied state — everything (including benchmark) only takes effect on Apply
+    applied, set_applied = use_state({
+        "static_inc": "Inc",
+        "cycle_budget": "100", "autotune": "100", "jvm": "25",
+        "benchmark": None,
+    })
+
+    def handle_apply():
+        set_applied({
+            "static_inc": static_inc_val,
+            "cycle_budget": cycle_budget_str, "autotune": autotune_val, "jvm": jvm_val,
+            "benchmark": selected_bench,
+        })
+
+    a_cycle = applied["cycle_budget"]
+    a_autotune = applied["autotune"]
+    a_jvm = applied["jvm"]
+    a_bench = applied["benchmark"]
+    setid_filter_local = f'*_{a_cycle}_p{a_autotune}_j{a_jvm}*'
+
+    # Load available benchmarks based on applied filters
+    def compute_benchmarks():
+        sid_filter = applied["static_inc"]
+        sid_regex = setid_filter_local.replace("*", ".*")
+        type_regex = "|".join(f".*{t.strip()}.*" for t in sid_filter.split(",")) if sid_filter else ".*"
+        rs = _raw_rs.where([
+            f"set_id.matches(`{sid_regex}`)",
+            f"benchmark_name.matches(`{type_regex}`)",
+        ])
+        try:
+            return sorted(dhpd.to_pandas(
+                rs.select_distinct(["benchmark_name"])
+            )["benchmark_name"].tolist())
+        except Exception:
+            return []
+
+    all_benchmarks = use_memo(compute_benchmarks, [applied])
+
+    # Use the applied benchmark; auto-select first if it's invalid
+    effective_bench = a_bench
+    if all_benchmarks and (not effective_bench or effective_bench not in all_benchmarks):
+        effective_bench = all_benchmarks[0]
+
+    # Compute CDF/CCDF and time series from applied state
+    def compute_distribution():
+        if not effective_bench:
+            return None, None, None, None
+        try:
+            from deephaven import agg
+            setid_regex = setid_filter_local.replace("*", ".*")
+            _replace_expr = f'set_id.replace("{actor}" + "/" + "{prefix}","")'
+
+            # --- CDF/CCDF ---
+            events = _raw_be \
+                .where(['name = `ugp.cycle.time`']) \
+                .view(['benchmark_name', 'start', 'cycleCost=value',
+                       f'gc_type=set_id.replace("{actor}" + "/" + "{prefix}","")'])
+            events = events.where([
+                f'benchmark_name = `{effective_bench}`',
+                f'gc_type.matches(`{setid_regex}`)',
+            ])
+
+            n = events.count_by("N", by=["benchmark_name", "gc_type"])
+
+            cdf_t = (
+                events
+                .sort(["benchmark_name", "gc_type", "cycleCost"])
+                .partition_by(["benchmark_name", "gc_type"]).transform(_compute_rank).merge()
+                .natural_join(n, on=["benchmark_name", "gc_type"])
+                .update_view(["Percentile = 100.0 * Rank / N", "cycleCostSec = cycleCost / 1_000_000_000.0"])
+            )
+            ccdf_t = (
+                events
+                .sort(["benchmark_name", "gc_type", "cycleCost"])
+                .partition_by(["benchmark_name", "gc_type"]).transform(_compute_rank).merge()
+                .natural_join(n, on=["benchmark_name", "gc_type"])
+                .update_view(["Percentile = 100.0 * (1.0 - (double)Rank / N)", "cycleCostSec = cycleCost / 1_000_000_000.0"])
+            )
+
+            # --- Throughput time series ---
+            median_runs = _raw_rs.where([
+                f'benchmark_name = `{effective_bench}`',
+                f'set_id.matches(`{setid_regex}`)',
+            ]).view(['benchmark_name', 'set_id', 'run_id'])
+
+            tput_raw = _raw_be.where(['name = `duration_rows`']) \
+                .where_in(median_runs, cols=['benchmark_name', 'set_id', 'run_id'])
+            min_starts = tput_raw.agg_by([agg.min_("min_start = start")], by=["benchmark_name", "set_id", "run_id"])
+            tput_t = tput_raw \
+                .natural_join(min_starts, on=["benchmark_name", "set_id", "run_id"]) \
+                .view(['benchmark_name',
+                    'duration_offset=(start - min_start) / 1_000_000_000.0',
+                    'throughput=value * 1_000_000_000.0 / duration',
+                    f'gc_type=({_replace_expr}).isEmpty() ? set_id : {_replace_expr}']) \
+                .sort("duration_offset")
+
+            # --- GC pause events ---
+            gc_raw = _raw_be.where(['type = `jdk.GarbageCollection`']) \
+                .where_in(median_runs, cols=['benchmark_name', 'set_id', 'run_id'])
+            min_starts_gc = gc_raw.agg_by([agg.min_("min_start = start")], by=["benchmark_name", "set_id", "run_id"])
+            gc_t = gc_raw \
+                .natural_join(min_starts_gc, on=["benchmark_name", "set_id", "run_id"]) \
+                .view(['benchmark_name',
+                    'gc_start=(start - min_start) / 1_000_000_000.0',
+                    'gc_duration=duration / 1_000_000_000.0',
+                    f'gc_type=({_replace_expr}).isEmpty() ? set_id : {_replace_expr}']) \
+                .sort("gc_start")
+
+            return cdf_t, ccdf_t, tput_t, gc_t
+        except Exception:
+            return None, None, None, None
+
+    cdf_table, ccdf_table, tput_table, gc_table = use_memo(compute_distribution, [applied])
+
+    # --- Controls: Benchmark first, then filters, then Apply ---
+    controls = ui.flex(
+        ui.picker(
+            *all_benchmarks,
+            label="Benchmark",
+            selected_key=selected_bench if selected_bench else (all_benchmarks[0] if all_benchmarks else None),
+            on_selection_change=set_selected_bench,
+        ) if all_benchmarks else ui.text("No benchmarks"),
+        ui.picker(
+            "Static", "Inc",
+            label="Static/Inc",
+            selected_key=static_inc_val,
+            on_selection_change=set_static_inc,
+        ),
+        ui.picker(
+            "100", "1000",
+            label="Cycle Budget (ms)",
+            selected_key=cycle_budget_str,
+            on_selection_change=set_cycle_budget,
+        ),
+        ui.picker(
+            "80", "90", "100", "110",
+            label="Autotune %",
+            selected_key=autotune_val,
+            on_selection_change=set_autotune,
+        ),
+        ui.picker(
+            "17", "25",
+            label="JVM Version",
+            selected_key=jvm_val,
+            on_selection_change=set_jvm,
+        ),
+        ui.button("Apply", on_press=handle_apply, variant="accent"),
+        direction="row",
+        gap="size-200",
+        align_items="end",
+        flex_grow=0,
+        flex_shrink=0,
+    )
+
+    # Plots — two columns: left = CDF/CCDF, right = throughput/GC time series
+    has_data = cdf_table is not None and ccdf_table is not None
+    if has_data:
+        gc_types = sorted(dhpd.to_pandas(
+            cdf_table.select_distinct(["gc_type"])
+        )["gc_type"].tolist())
+        color_map = {gc: COLORS[i % len(COLORS)] for i, gc in enumerate(gc_types)}
+
+        def make_cdf_updater(title):
+            def update(fig):
+                fig.update_layout(
+                    title=dict(text=title, font=dict(size=14)),
+                    xaxis=dict(title="Cycle Cost (sec)"),
+                    yaxis=dict(title="Percentile"),
+                    margin=dict(t=40, b=40, l=50, r=10),
+                    colorway=[color_map[gc] for gc in gc_types],
+                    legend=dict(orientation="v", yanchor="bottom", y=0, xanchor="left", x=1.02),
+                )
+                return fig
+            return update
+
+        cdf_plot = dx.line(
+            cdf_table, x="cycleCostSec", y="Percentile",
+            by=["gc_type"], log_x=True,
+            title=f"{effective_bench} CDF",
+            unsafe_update_figure=make_cdf_updater(f"{effective_bench} CDF"),
+        )
+        ccdf_plot = dx.line(
+            ccdf_table, x="cycleCostSec", y="Percentile",
+            by=["gc_type"], log_x=True, log_y=True,
+            title=f"{effective_bench} CCDF",
+            unsafe_update_figure=make_cdf_updater(f"{effective_bench} CCDF"),
+        )
+        left_col = ui.flex(cdf_plot, ccdf_plot, direction="column", flex_grow=1, gap="size-200")
+
+        # Right column: throughput + GC scatter
+        if tput_table is not None and gc_table is not None:
+            def make_throughput_updater(fig):
+                fig.update_traces(line=dict(width=1))
+                fig.update_layout(
+                    title=dict(text=f"{effective_bench} - Throughput", font=dict(size=14)),
+                    legend=dict(yanchor="bottom", y=0, xanchor="left", x=1.02),
+                    margin=dict(t=40, b=10, l=60, r=10),
+                    xaxis=dict(title="", showticklabels=False),
+                    colorway=[color_map[gc] for gc in gc_types],
+                )
+                return fig
+
+            def make_gc_updater(fig):
+                fig.update_traces(
+                    error_x=dict(type="data", symmetric=False, thickness=1),
+                    marker=dict(size=2),
+                )
+                fig.update_layout(
+                    title=dict(text="GC Pauses", font=dict(size=14)),
+                    legend=dict(yanchor="bottom", y=0, xanchor="left", x=1.02),
+                    margin=dict(t=40, b=40, l=60, r=10),
+                    xaxis=dict(title="Elapsed Time (s)"),
+                    yaxis=dict(title="GC (s)"),
+                    colorway=[color_map[gc] for gc in gc_types],
+                )
+                return fig
+
+            throughput_plot = dx.line(
+                tput_table, x="duration_offset", y="throughput",
+                color="gc_type",
+                unsafe_update_figure=make_throughput_updater,
+            )
+            gc_plot = dx.scatter(
+                gc_table, x="gc_start", y="gc_duration",
+                error_x="gc_duration", color="gc_type", log_y=True,
+                unsafe_update_figure=make_gc_updater,
+            )
+            right_col = ui.flex(throughput_plot, gc_plot, direction="column", flex_grow=1, gap="size-200")
+        else:
+            right_col = ui.text("No throughput/GC data available.")
+
+        plots = ui.flex(left_col, right_col, direction="row", flex_grow=1, gap="size-200")
+    else:
+        plots = ui.text("Click Apply to load plots.")
+
+    return ui.flex(
+        controls,
+        plots,
+        direction="column",
+        flex_grow=1,
+        gap="size-100",
+        UNSAFE_style={"height": "100%", "overflow": "auto"},
+    )
+
+
+gc_dash = gc_dashboard()
+gc_dist = gc_distribution_dashboard()

From 758520f3dd256cf43bb2f0600d62c70571a7f3cc Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Mon, 29 Jun 2026 22:43:00 -0600
Subject: [PATCH 71/73] Copyright updates

---
 src/main/java/io/deephaven/benchmark/api/BenchLog.java          | 2 +-
 src/main/java/io/deephaven/benchmark/api/BenchPlatform.java     | 2 +-
 src/main/java/io/deephaven/benchmark/api/BenchQuery.java        | 2 +-
 .../java/io/deephaven/benchmark/connect/BarrageConnector.java   | 2 +-
 .../benchmark/controller/DeephavenDockerController.java         | 2 +-
 .../io/deephaven/benchmark/generator/AvroKafkaGenerator.java    | 2 +-
 6 files changed, 6 insertions(+), 6 deletions(-)

diff --git a/src/main/java/io/deephaven/benchmark/api/BenchLog.java b/src/main/java/io/deephaven/benchmark/api/BenchLog.java
index 68416595..288c5484 100644
--- a/src/main/java/io/deephaven/benchmark/api/BenchLog.java
+++ b/src/main/java/io/deephaven/benchmark/api/BenchLog.java
@@ -1,4 +1,4 @@
-/* Copyright (c) 2022-2023 Deephaven Data Labs and Patent Pending */
+/* Copyright (c) 2022-2026 Deephaven Data Labs and Patent Pending */
 package io.deephaven.benchmark.api;
 
 import static java.nio.file.StandardOpenOption.*;
diff --git a/src/main/java/io/deephaven/benchmark/api/BenchPlatform.java b/src/main/java/io/deephaven/benchmark/api/BenchPlatform.java
index aa812817..85d1dece 100644
--- a/src/main/java/io/deephaven/benchmark/api/BenchPlatform.java
+++ b/src/main/java/io/deephaven/benchmark/api/BenchPlatform.java
@@ -1,4 +1,4 @@
-/* Copyright (c) 2022-2025 Deephaven Data Labs and Patent Pending */
+/* Copyright (c) 2022-2026 Deephaven Data Labs and Patent Pending */
 package io.deephaven.benchmark.api;
 
 import java.io.BufferedWriter;
diff --git a/src/main/java/io/deephaven/benchmark/api/BenchQuery.java b/src/main/java/io/deephaven/benchmark/api/BenchQuery.java
index 255588bf..22d90bdd 100644
--- a/src/main/java/io/deephaven/benchmark/api/BenchQuery.java
+++ b/src/main/java/io/deephaven/benchmark/api/BenchQuery.java
@@ -1,4 +1,4 @@
-/* Copyright (c) 2022-2025 Deephaven Data Labs and Patent Pending */
+/* Copyright (c) 2022-2026 Deephaven Data Labs and Patent Pending */
 package io.deephaven.benchmark.api;
 
 import java.io.Closeable;
diff --git a/src/main/java/io/deephaven/benchmark/connect/BarrageConnector.java b/src/main/java/io/deephaven/benchmark/connect/BarrageConnector.java
index d2a954f8..b7910511 100644
--- a/src/main/java/io/deephaven/benchmark/connect/BarrageConnector.java
+++ b/src/main/java/io/deephaven/benchmark/connect/BarrageConnector.java
@@ -1,4 +1,4 @@
-/* Copyright (c) 2022-2025 Deephaven Data Labs and Patent Pending */
+/* Copyright (c) 2022-2026 Deephaven Data Labs and Patent Pending */
 package io.deephaven.benchmark.connect;
 
 import java.util.*;
diff --git a/src/main/java/io/deephaven/benchmark/controller/DeephavenDockerController.java b/src/main/java/io/deephaven/benchmark/controller/DeephavenDockerController.java
index 609dcce2..15956804 100644
--- a/src/main/java/io/deephaven/benchmark/controller/DeephavenDockerController.java
+++ b/src/main/java/io/deephaven/benchmark/controller/DeephavenDockerController.java
@@ -1,4 +1,4 @@
-/* Copyright (c) 2022-2024 Deephaven Data Labs and Patent Pending */
+/* Copyright (c) 2022-2026 Deephaven Data Labs and Patent Pending */
 package io.deephaven.benchmark.controller;
 
 import java.net.HttpURLConnection;
diff --git a/src/main/java/io/deephaven/benchmark/generator/AvroKafkaGenerator.java b/src/main/java/io/deephaven/benchmark/generator/AvroKafkaGenerator.java
index e2d741e4..42bfbe08 100644
--- a/src/main/java/io/deephaven/benchmark/generator/AvroKafkaGenerator.java
+++ b/src/main/java/io/deephaven/benchmark/generator/AvroKafkaGenerator.java
@@ -1,4 +1,4 @@
-/* Copyright (c) 2022-2023 Deephaven Data Labs and Patent Pending */
+/* Copyright (c) 2022-2026 Deephaven Data Labs and Patent Pending */
 package io.deephaven.benchmark.generator;
 
 import static org.apache.kafka.clients.producer.ProducerConfig.*;

From 3b9293bc6fdf37f80f6216861d3e13b57a907287 Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Thu, 2 Jul 2026 15:33:34 -0600
Subject: [PATCH 72/73] Got train dashboard working against GCloud with csvs
 pulled up into parquet files

---
 .../dashboards/benchmark_functions.dh.py      |  68 ++-
 .../run/profile/queries/dashboards/pullup.py  |  48 +++
 .../queries/dashboards/train_dashboard.dh.py  | 402 +++++++++++++++---
 3 files changed, 442 insertions(+), 76 deletions(-)
 create mode 100644 src/main/resources/io/deephaven/benchmark/run/profile/queries/dashboards/pullup.py

diff --git a/src/main/resources/io/deephaven/benchmark/run/profile/queries/dashboards/benchmark_functions.dh.py b/src/main/resources/io/deephaven/benchmark/run/profile/queries/dashboards/benchmark_functions.dh.py
index a68c6a54..c62173fd 100644
--- a/src/main/resources/io/deephaven/benchmark/run/profile/queries/dashboards/benchmark_functions.dh.py
+++ b/src/main/resources/io/deephaven/benchmark/run/profile/queries/dashboards/benchmark_functions.dh.py
@@ -4,7 +4,7 @@
 # format strings, and do calculations. The data for creating tables is downloaded and cached from 
 # either the Deephaven Benchmark GCloud bucket or from NFS on one of Deephaven's demos servers.
 #
-# Requirements: Deephaven 0.36.1 or greater
+# Requirements: Deephaven 41.3 or greater
 
 import os, re, jpy
 from deephaven import read_csv, merge, agg, empty_table, input_table, dtypes as dht
@@ -183,26 +183,74 @@ def load_bench_platform(storage_uri, category='adhoc', actor_filter=None, set_fi
     run_ids = get_run_paths(storage_uri, category, actor_filter, set_filter, 100)
     return merge_run_tables(storage_uri, run_ids, category, 'benchmark-platform.csv', convert_platform)
 
-# Load all benchmark-results.csv data collected from the given storage, category, and filters by set
-# Sets contain one or more runs for each benchmark. This function loads the median run by rate for each benchmark
-def load_bench_result_sets(storage_uri, category='adhoc', actor_filter=None, set_filter=None):
-    bench_results = load_bench_results(storage_uri,category,actor_filter,set_filter)
+# Compute result sets from raw bench results
+def compute_result_sets(bench_results):
     bench_results_sets = bench_results.sort(['benchmark_name','origin','set_id','op_rate']) \
         .group_by(['benchmark_name','origin','set_id']) \
         .view(['benchmark_name','origin','timestamp=(long)mid_item(timestamp)','test_duration=(double)mid_item(test_duration)',
             'set_op_rates=op_rate','op_duration=(double)mid_item(op_duration)','op_rate=(long)mid_item(op_rate)',
             'row_count=(long)mid_item(row_count)','variability=(float)rstd(set_op_rates)','set_id',
             'run_id=(String)mid_item(run_id)','set_count=count(set_op_rates)'])
-    # Attach columns for specified metrics and platform properties
-    #local_platform_props = []
-    #local_metric_props = []
-    #bench_results_sets = add_platform_values(bench_results_sets, ['deephaven.version'] + platform_props, local_platform_props)
-    #bench_results_sets = add_metric_values(bench_results_sets, metric_props, local_metric_props)
     return bench_results_sets, bench_results
+
+# Load all benchmark-results.csv data collected from the given storage, category, and filters by set
+# Sets contain one or more runs for each benchmark. This function loads the median run by rate for each benchmark
+def load_bench_result_sets(storage_uri, category='adhoc', actor_filter=None, set_filter=None):
+    bench_results = load_bench_results(storage_uri,category,actor_filter,set_filter)
+    return compute_result_sets(bench_results)
     
+# Check for a pulled-up consolidated file (produced by pullup.py)
+def find_pullup_file(storage_uri, category, actor, table_name):
+    csv_name = f'benchmark-{table_name}'
+    # Always check local cache first
+    local_root = re.sub('^file:/+', '/', storage_uri)
+    if local_root.startswith('http'):
+        local_root = re.sub('^http.*/deephaven-benchmark', '/data/deephaven-benchmark', local_root)
+    pullup_dir = os.path.join(local_root, category, actor)
+    for ext in ['.parquet', '.csv.gz']:
+        path = os.path.join(pullup_dir, csv_name + ext)
+        if os.path.exists(path):
+            return path
+    # Try to download from remote if storage_uri is HTTP
+    if storage_uri.startswith('http'):
+        pullup_base = f'{storage_uri}/{category}/{actor}/{csv_name}'
+        for ext in ['.parquet', '.csv.gz']:
+            uri = pullup_base + ext
+            try:
+                out_path = re.sub('^http.*/deephaven-benchmark/', '/data/deephaven-benchmark/', uri)
+                os.makedirs(os.path.dirname(out_path), mode=0o777, exist_ok=True)
+                if not os.path.exists(out_path):
+                    urlretrieve(uri, out_path)
+                    print('Cache', uri)
+                return out_path
+            except Exception:
+                continue
+    return None
+
+# Read a pulled-up file (parquet or csv.gz)
+def read_pullup_file(path):
+    if path.endswith('.parquet'):
+        from deephaven.parquet import read as pq_read
+        return pq_read(path)
+    return read_csv(path)
+
 def load_table_or_empty(table_name, storage_uri, category='adhoc', actor_filter='', set_filter=''):
     actor = actor_filter.strip(); prefix = set_filter.strip()
     if actor and prefix:
+        pullup_path = find_pullup_file(storage_uri, category, actor, table_name)
+        if pullup_path:
+            print(f'Pullup {pullup_path}')
+            tbl = read_pullup_file(pullup_path)
+            if table_name == 'result_sets':
+                results_path = find_pullup_file(storage_uri, category, actor, 'results')
+                results_tbl = read_pullup_file(results_path) if results_path else tbl
+                return tbl, results_tbl
+            return tbl
+        if table_name == 'result_sets':
+            results_path = find_pullup_file(storage_uri, category, actor, 'results')
+            if results_path:
+                print(f'Pullup {results_path} (computing result_sets)')
+                return compute_result_sets(read_pullup_file(results_path))
         return globals()[f'load_bench_{table_name}'](storage_uri, category, actor, prefix)
     return globals()[f'empty_bench_{table_name}']()
 
diff --git a/src/main/resources/io/deephaven/benchmark/run/profile/queries/dashboards/pullup.py b/src/main/resources/io/deephaven/benchmark/run/profile/queries/dashboards/pullup.py
new file mode 100644
index 00000000..30f4817c
--- /dev/null
+++ b/src/main/resources/io/deephaven/benchmark/run/profile/queries/dashboards/pullup.py
@@ -0,0 +1,48 @@
+# Copyright (c) 2026-2026 Deephaven Data Labs and Patent Pending 
+#
+# Takes the adhoc-style directory structure and generates csv with all sets and runs. The
+# resulting files are 'benchmark-events.csv', 'benchmark-metrics.csv', 'benchmark-platform.csv', 
+# 'benchmark-results.csv', and 'benchmark-result_sets.csv'. These files look, for example, like
+# the tables loaded from "load_table_or_empty('metrics', storage_uri, 'adhoc', actor, prefix)"
+# function seen in other benchmark queries. The csv files are written to the "/data" directory.
+#
+# Requirements: Deephaven 41.7 or greater
+
+from urllib.request import urlopen; import os, gzip, shutil, re
+from deephaven import csv as dhcsv
+from deephaven.parquet import write as pq_write
+
+def glob_to_regex(pat):
+    return '^' + re.escape(pat).replace(r'\*', '.*').replace(r'\?', '.') + '$'
+
+actor = "Final-gc-report"
+dest_actor = "gc-fun"
+prefix = "gc_"
+exclude_sets = ['*_p110_*']
+output_dir = f'/data/deephaven-benchmark/demo/{dest_actor}'
+
+root = 'file:///data' if os.path.exists('/data/deephaven-benchmark') else 'https://storage.googleapis.com'
+with urlopen(f'{root}/deephaven-benchmark/benchmark_functions.dh.py') as r:
+    exec(r.read().decode(), globals(), locals())
+    storage_uri = f'{root}/deephaven-benchmark'
+
+os.makedirs(output_dir, exist_ok=True)
+
+for name in ['metrics', 'events', 'platform', 'results', 'result_sets']:
+    data = load_table_or_empty(name, storage_uri, 'adhoc', actor, prefix)
+    table = data[0] if name == 'result_sets' else data
+    if exclude_sets:
+        table = table.where(' && '.join(f'!set_id.matches(`{glob_to_regex(pat)}`)' for pat in exclude_sets))
+    if dest_actor != actor:
+        table = table.update_view([f'set_id = set_id.replaceFirst(`{actor}`, `{dest_actor}`)'])
+    output_csv = f'{output_dir}/benchmark-{name}.csv'
+    dhcsv.write(table, output_csv)
+    with open(output_csv, 'rb') as f_in, gzip.open(output_csv + '.gz', 'wb') as f_out:
+        shutil.copyfileobj(f_in, f_out)
+    os.remove(output_csv)
+    print(f'Wrote csv: {output_csv}.gz')
+    output_pq = f'{output_dir}/benchmark-{name}.parquet'
+    pq_write(table, output_pq, compression_codec_name='ZSTD')
+    print(f'Wrote parquet: {output_pq}')
+
+print("Done!")
diff --git a/src/main/resources/io/deephaven/benchmark/run/profile/queries/dashboards/train_dashboard.dh.py b/src/main/resources/io/deephaven/benchmark/run/profile/queries/dashboards/train_dashboard.dh.py
index 21f55ae4..cb819e06 100644
--- a/src/main/resources/io/deephaven/benchmark/run/profile/queries/dashboards/train_dashboard.dh.py
+++ b/src/main/resources/io/deephaven/benchmark/run/profile/queries/dashboards/train_dashboard.dh.py
@@ -8,7 +8,7 @@
 # ruff: noqa: F821
 from urllib.request import urlopen; import os
 from deephaven import ui
-from deephaven.ui import use_memo, use_state
+from deephaven.ui import use_memo, use_state, use_ref
 from deephaven.execution_context import get_exec_ctx
 from deephaven import pandas as dhpd
 import deephaven.plot.express as dx
@@ -22,13 +22,13 @@
     "#FF97FF", "#FECB52",
 ]
 
-root = 'file:///data' if os.path.exists('/data/deephaven-benchmark') else 'https://storage.googleapis.com'
-with urlopen(f'{root}/deephaven-benchmark/benchmark_functions.dh.py') as r:
+root = 'file:///nfs' if os.path.exists('/nfs/deephaven-benchmark') else 'https://storage.googleapis.com'
+with urlopen(f'{root}/deephaven-benchmark/benchmark_functions2.dh.py') as r:
     exec(r.read().decode(), globals(), locals())
     storage_uri = f'{root}/deephaven-benchmark'
 
 # These globals are set by the dashboard component on each render
-actor = "Final-gc-report"
+actor = "gc-fun"
 static_inc_filter = 'Inc'
 benchmark_filter = "*"
 cycle_budget_ms = 100
@@ -42,11 +42,11 @@
 gc_metrics = None
 
 # Load raw tables once at module level (just table handles; data stays on server)
-_raw_rs, _raw_br = load_table_or_empty('result_sets', storage_uri, 'adhoc', actor, prefix)
+_raw_rs, _raw_br = load_table_or_empty('result_sets', storage_uri, 'demo', actor, prefix)
 _raw_rs = _raw_rs.where("origin = `deephaven-engine`")
 _raw_br = _raw_br.where("origin = `deephaven-engine`")
-_raw_bm = load_table_or_empty('metrics', storage_uri, 'adhoc', actor, prefix)
-_raw_be = load_table_or_empty('events', storage_uri, 'adhoc', actor, prefix)
+_raw_bm = load_table_or_empty('metrics', storage_uri, 'demo', actor, prefix)
+_raw_be = load_table_or_empty('events', storage_uri, 'demo', actor, prefix)
 
 def filter_benchmarks(table):
     if not benchmark_filter: return table
@@ -243,7 +243,7 @@ def _compute_rank(t):
 
 
 @ui.component
-def gc_dashboard():
+def gc_bench_summary_dashboard():
     # --- Filter state ---
     static_inc_val, set_static_inc = use_state("Inc")
     cycle_budget_str, set_cycle_budget = use_state("100")
@@ -331,19 +331,19 @@ def _clean_expr(col):
         try:
             t_summary = _rename(get_summary_table())
         except Exception:
-            t_summary = _empty("No summary data for this filter combination")
+            t_summary = _empty("No data")
 
         try:
             t_throughput = add_summary_rows(_rename(get_throughput_table()), higher_is_better=True)
         except Exception as e:
             import traceback; traceback.print_exc()
-            t_throughput = _empty(f"Throughput error: {e}")
+            t_throughput = _empty("No data")
 
         try:
             t_jitter = add_summary_rows(_rename(get_jitter_table()), higher_is_better=False)
         except Exception as e:
             import traceback; traceback.print_exc()
-            t_jitter = _empty(f"Jitter error: {e}")
+            t_jitter = _empty("No data")
 
         try:
             t_on_budget = _rename(get_cycle_onbudget_table())
@@ -352,7 +352,7 @@ def _clean_expr(col):
             t_on_budget = t_on_budget.format_columns([f"{c} = Decimal(`0.00'%'`)" for c in cc_cols])
         except Exception as e:
             import traceback; traceback.print_exc()
-            t_on_budget = _empty(f"On-budget error: {e}")
+            t_on_budget = _empty("No data")
 
         return t_summary, t_throughput, t_jitter, t_on_budget
 
@@ -439,26 +439,21 @@ def _clean_expr(col):
 
 
 @ui.component
-def gc_distribution_dashboard():
-    # --- Filter state (uncommitted until Apply) ---
-    static_inc_val, set_static_inc = use_state("Inc")
-    cycle_budget_str, set_cycle_budget = use_state("100")
-    autotune_val, set_autotune = use_state("100")
-    jvm_val, set_jvm = use_state("25")
-    selected_bench, set_selected_bench = use_state(None)
-
-    # Applied state — everything (including benchmark) only takes effect on Apply
+def gc_throughput_dashboard():
+    # Applied state — only this triggers re-render (on form submit)
     applied, set_applied = use_state({
         "static_inc": "Inc",
         "cycle_budget": "100", "autotune": "100", "jvm": "25",
         "benchmark": None,
     })
 
-    def handle_apply():
+    def handle_submit(data):
         set_applied({
-            "static_inc": static_inc_val,
-            "cycle_budget": cycle_budget_str, "autotune": autotune_val, "jvm": jvm_val,
-            "benchmark": selected_bench,
+            "static_inc": "Inc",
+            "cycle_budget": data.get("cycle_budget", "100"),
+            "autotune": data.get("autotune", "100"),
+            "jvm": data.get("jvm", "25"),
+            "benchmark": data.get("benchmark", None),
         })
 
     a_cycle = applied["cycle_budget"]
@@ -543,7 +538,7 @@ def compute_distribution():
                     f'gc_type=({_replace_expr}).isEmpty() ? set_id : {_replace_expr}']) \
                 .sort("duration_offset")
 
-            # --- GC pause events ---
+            # --- GC activity events ---
             gc_raw = _raw_be.where(['type = `jdk.GarbageCollection`']) \
                 .where_in(median_runs, cols=['benchmark_name', 'set_id', 'run_id'])
             min_starts_gc = gc_raw.agg_by([agg.min_("min_start = start")], by=["benchmark_name", "set_id", "run_id"])
@@ -561,47 +556,44 @@ def compute_distribution():
 
     cdf_table, ccdf_table, tput_table, gc_table = use_memo(compute_distribution, [applied])
 
-    # --- Controls: Benchmark first, then filters, then Apply ---
-    controls = ui.flex(
-        ui.picker(
-            *all_benchmarks,
-            label="Benchmark",
-            selected_key=selected_bench if selected_bench else (all_benchmarks[0] if all_benchmarks else None),
-            on_selection_change=set_selected_bench,
-        ) if all_benchmarks else ui.text("No benchmarks"),
-        ui.picker(
-            "Static", "Inc",
-            label="Static/Inc",
-            selected_key=static_inc_val,
-            on_selection_change=set_static_inc,
-        ),
-        ui.picker(
-            "100", "1000",
-            label="Cycle Budget (ms)",
-            selected_key=cycle_budget_str,
-            on_selection_change=set_cycle_budget,
-        ),
-        ui.picker(
-            "80", "90", "100", "110",
-            label="Autotune %",
-            selected_key=autotune_val,
-            on_selection_change=set_autotune,
-        ),
-        ui.picker(
-            "17", "25",
-            label="JVM Version",
-            selected_key=jvm_val,
-            on_selection_change=set_jvm,
+    # --- Controls: wrapped in ui.form so pickers don't make server calls until Apply ---
+    controls = ui.form(
+        ui.flex(
+            ui.picker(
+                *all_benchmarks,
+                label="Benchmark",
+                name="benchmark",
+                default_selected_key=all_benchmarks[0] if all_benchmarks else None,
+            ) if all_benchmarks else ui.text("No benchmarks"),
+            ui.picker(
+                "100", "1000",
+                label="Cycle Budget (ms)",
+                name="cycle_budget",
+                default_selected_key="100",
+            ),
+            ui.picker(
+                "80", "90", "100", "110",
+                label="Autotune %",
+                name="autotune",
+                default_selected_key="100",
+            ),
+            ui.picker(
+                "17", "25",
+                label="JVM Version",
+                name="jvm",
+                default_selected_key="25",
+            ),
+            ui.button("Apply", type="submit", variant="accent"),
+            direction="row",
+            gap="size-200",
+            align_items="end",
         ),
-        ui.button("Apply", on_press=handle_apply, variant="accent"),
-        direction="row",
-        gap="size-200",
-        align_items="end",
+        on_submit=handle_submit,
         flex_grow=0,
         flex_shrink=0,
     )
 
-    # Plots — two columns: left = CDF/CCDF, right = throughput/GC time series
+    # --- Plots ---
     has_data = cdf_table is not None and ccdf_table is not None
     if has_data:
         gc_types = sorted(dhpd.to_pandas(
@@ -636,7 +628,6 @@ def update(fig):
         )
         left_col = ui.flex(cdf_plot, ccdf_plot, direction="column", flex_grow=1, gap="size-200")
 
-        # Right column: throughput + GC scatter
         if tput_table is not None and gc_table is not None:
             def make_throughput_updater(fig):
                 fig.update_traces(line=dict(width=1))
@@ -655,7 +646,7 @@ def make_gc_updater(fig):
                     marker=dict(size=2),
                 )
                 fig.update_layout(
-                    title=dict(text="GC Pauses", font=dict(size=14)),
+                    title=dict(text="GC Activity", font=dict(size=14)),
                     legend=dict(yanchor="bottom", y=0, xanchor="left", x=1.02),
                     margin=dict(t=40, b=40, l=60, r=10),
                     xaxis=dict(title="Elapsed Time (s)"),
@@ -692,5 +683,284 @@ def make_gc_updater(fig):
     )
 
 
-gc_dash = gc_dashboard()
-gc_dist = gc_distribution_dashboard()
+@ui.component
+def gc_rankings_dashboard():
+    import math
+    import pandas as pd
+    from deephaven import new_table
+    from deephaven.column import string_col
+
+    def compute_rankings():
+        global actor, static_inc_filter, benchmark_filter, cycle_budget_ms, autotune_pct, jvm_version
+        global setid_filter, bench_result_sets, bench_results, bench_metrics, bench_events, gc_metrics
+
+        si_options = ["Static", "Inc"]
+        budget_options = ["100", "1000"]
+        autotune_options = ["80", "90", "100", "110"]
+        jvm_options = ["17", "25"]
+
+        tput_rows = []
+        jitter_rows = []
+        budget_rows = []
+
+        for si in si_options:
+            for budget in budget_options:
+                for auto in autotune_options:
+                    for jvm in jvm_options:
+                        # Set globals for this combination
+                        static_inc_filter = si
+                        benchmark_filter = "*"
+                        cycle_budget_ms = int(budget)
+                        autotune_pct = auto
+                        jvm_version = jvm
+                        setid_filter = f'*_{budget}_p{auto}_j{jvm}*'
+
+                        settings_label = f"{si}_{budget}_p{auto}_j{jvm}"
+
+                        rs = _raw_rs.sort(['set_id'])
+                        br = _raw_br.sort(['set_id'])
+                        bm = _raw_bm
+                        be = _raw_be
+                        rs, br, bm, be = [filter_benchmarks(t) for t in [rs, br, bm, be]]
+                        bench_result_sets = rs
+                        bench_results = br
+                        bench_metrics = bm
+                        bench_events = be
+                        gc_metrics = rs.join(bm, ['benchmark_name','origin','set_id'], ['name','value']).sort(['set_id'])
+
+                        suffix = f"_{budget}_p{auto}_j{jvm}"
+
+                        import re as _re
+                        def _gc_name(col):
+                            name = col.replace(suffix, '')
+                            name = _re.sub(rf'[\s_-]*{_re.escape(si)}[\s_-]*', '_', name)
+                            name = _re.sub(r'_+', '_', name)
+                            name = name.strip('_')
+                            return name
+
+                        def _visible_cols(tbl):
+                            return [c.name for c in tbl.columns if c.name != 'benchmark_name' and '__TABLE_STYLE_FORMAT' not in c.name]
+
+                        def _geo_mean(df, col):
+                            vals = df[col].dropna().values.astype(float)
+                            vals = vals[vals > 0]
+                            return float(np.exp(np.log(vals).mean())) if len(vals) > 0 else float('nan')
+
+                        def _rank_row(gc_means, settings, higher_is_better):
+                            # Sort GCs: best first
+                            valid = [(gc, v) for gc, v in gc_means.items() if not math.isnan(v)]
+                            if not valid:
+                                return None
+                            valid.sort(key=lambda x: x[1], reverse=higher_is_better)
+                            best_val = valid[0][1]
+                            row = {"Settings": settings}
+                            for i, (gc, val) in enumerate(valid):
+                                rank_col = f"{i+1}"
+                                if i == 0:
+                                    row[rank_col] = gc
+                                else:
+                                    if best_val != 0:
+                                        pct = ((val - best_val) / best_val) * 100.0
+                                        row[rank_col] = f"{gc} ({pct:+.0f}%)"
+                                    else:
+                                        row[rank_col] = gc
+                            return row
+
+                        # Throughput
+                        try:
+                            tbl = get_throughput_table()
+                            cols = _visible_cols(tbl)
+                            df = dhpd.to_pandas(tbl.view(['benchmark_name'] + cols))
+                            gc_means = {_gc_name(c): _geo_mean(df, c) for c in cols}
+                            r = _rank_row(gc_means, settings_label, higher_is_better=True)
+                            if r:
+                                tput_rows.append(r)
+                        except Exception:
+                            pass
+
+                        # Jitter (lower is better)
+                        try:
+                            tbl = get_jitter_table()
+                            cols = _visible_cols(tbl)
+                            df = dhpd.to_pandas(tbl.view(['benchmark_name'] + cols))
+                            gc_means = {_gc_name(c): _geo_mean(df, c) for c in cols}
+                            r = _rank_row(gc_means, settings_label, higher_is_better=False)
+                            if r:
+                                jitter_rows.append(r)
+                        except Exception:
+                            pass
+
+                        # On-budget (higher is better, use mean)
+                        try:
+                            tbl = get_cycle_onbudget_table()
+                            cols = _visible_cols(tbl)
+                            df = dhpd.to_pandas(tbl.view(['benchmark_name'] + cols))
+                            gc_means = {_gc_name(c): float(df[c].dropna().mean()) for c in cols}
+                            r = _rank_row(gc_means, settings_label, higher_is_better=True)
+                            if r:
+                                budget_rows.append(r)
+                        except Exception:
+                            pass
+
+        def _build_table(rows, label):
+            if not rows:
+                return new_table([string_col("Settings", [f"No {label} data"])])
+            max_rank = max(len(r) - 1 for r in rows)
+            settings_vals = [r.get("Settings", "") for r in rows]
+            columns = [string_col("Settings", settings_vals)]
+            for i in range(max_rank):
+                columns.append(string_col(f"r{i+1}", [r.get(str(i+1), "") for r in rows]))
+            return new_table(columns)
+
+        t_tput = _build_table(tput_rows, "throughput")
+        t_jitter = _build_table(jitter_rows, "jitter")
+        t_budget = _build_table(budget_rows, "on-budget")
+        return t_tput, t_jitter, t_budget
+
+    tput_rank, jitter_rank, budget_rank = use_memo(compute_rankings, [])
+
+    return ui.flex(
+        ui.flex(
+            ui.heading("Throughput Rankings (GEO MEAN, higher is better)", level=4),
+            ui.table(tput_rank),
+            direction="column", flex_grow=1,
+        ),
+        ui.flex(
+            ui.heading("Jitter Rankings (GEO MEAN, lower is better)", level=4),
+            ui.table(jitter_rank),
+            direction="column", flex_grow=1,
+        ),
+        ui.flex(
+            ui.heading("On-Budget Rankings (MEAN, higher is better)", level=4),
+            ui.table(budget_rank),
+            direction="column", flex_grow=1,
+        ),
+        direction="column",
+        flex_grow=1,
+        gap="size-200",
+        UNSAFE_style={"height": "100%", "overflow": "auto"},
+    )
+
+@ui.component
+def gc_extras_dashboard():
+    import math
+    from deephaven import new_table
+    from deephaven.column import string_col, long_col, double_col
+
+    def compute_extras():
+        global actor, static_inc_filter, benchmark_filter, cycle_budget_ms, autotune_pct, jvm_version
+        global setid_filter, bench_result_sets, bench_results, bench_metrics, bench_events, gc_metrics
+
+        # Configurations to compare (all p100_j25)
+        configs = [
+            ("Static_1000", "Static", "1000"),
+            ("Inc_1000", "Inc", "1000"),
+            ("Inc_100", "Inc", "100"),
+        ]
+
+        import re as _re
+
+        def _strip_si(name):
+            """Remove Static/Inc from benchmark name to create a common key."""
+            name = _re.sub(r'(?i)\b(Static|Inc)\b', '', name)
+            name = _re.sub(r'_+', '_', name).strip('_')
+            name = _re.sub(r'\s*-\s*$', '', name)
+            return name
+
+        # Collect per-benchmark GEO MEAN throughput for each config
+        config_data = {}  # config_label -> {common_key: geo_mean_throughput}
+        for label, si, budget in configs:
+            static_inc_filter = si
+            benchmark_filter = "*"
+            cycle_budget_ms = int(budget)
+            autotune_pct = "100"
+            jvm_version = "25"
+            setid_filter = f'*_{budget}_p100_j25*'
+
+            rs = _raw_rs.sort(['set_id'])
+            br = _raw_br.sort(['set_id'])
+            bm = _raw_bm
+            be = _raw_be
+            rs, br, bm, be = [filter_benchmarks(t) for t in [rs, br, bm, be]]
+            bench_result_sets = rs
+            bench_results = br
+            bench_metrics = bm
+            bench_events = be
+            gc_metrics = rs.join(bm, ['benchmark_name','origin','set_id'], ['name','value']).sort(['set_id'])
+
+            try:
+                df = dhpd.to_pandas(
+                    bench_result_sets.view(['benchmark_name', 'op_rate'])
+                        .where(['!isNull(op_rate)', 'op_rate > 0'])
+                )
+                bench_means = {}
+                for bname, grp in df.groupby('benchmark_name'):
+                    key = _strip_si(bname)
+                    vals = grp['op_rate'].values.astype(float)
+                    if len(vals) > 0:
+                        bench_means[key] = float(np.exp(np.log(vals).mean()))
+                config_data[label] = bench_means
+            except Exception:
+                config_data[label] = {}
+
+        # Build table using common benchmark keys
+        baseline_label = "Static_1000"
+        baseline = config_data.get(baseline_label, {})
+        all_keys = sorted(baseline.keys())
+
+        if not all_keys:
+            return new_table([string_col("benchmark_name", ["No data"])])
+
+        bench_names = []
+        baseline_vals = []
+        inc_1000_vals = []
+        inc_100_vals = []
+
+        for key in all_keys:
+            base_val = baseline.get(key, float('nan'))
+            bench_names.append(key)
+            baseline_vals.append(base_val)
+
+            # Inc_1000 % diff
+            inc1000 = config_data.get("Inc_1000", {}).get(key, float('nan'))
+            if not math.isnan(base_val) and base_val > 0 and not math.isnan(inc1000):
+                inc_1000_vals.append(((inc1000 - base_val) / base_val) * 100.0)
+            else:
+                inc_1000_vals.append(float('nan'))
+
+            # Inc_100 % diff
+            inc100 = config_data.get("Inc_100", {}).get(key, float('nan'))
+            if not math.isnan(base_val) and base_val > 0 and not math.isnan(inc100):
+                inc_100_vals.append(((inc100 - base_val) / base_val) * 100.0)
+            else:
+                inc_100_vals.append(float('nan'))
+
+        t = new_table([
+            string_col("benchmark_name", bench_names),
+            long_col("Static_1000", [int(round(v)) if not math.isnan(v) else 0 for v in baseline_vals]),
+            double_col("Inc_1000", [round(v, 1) if not math.isnan(v) else float('nan') for v in inc_1000_vals]),
+            double_col("Inc_100", [round(v, 1) if not math.isnan(v) else float('nan') for v in inc_100_vals]),
+        ]).format_columns([
+            "Inc_1000 = Decimal(`0.0'%'`)",
+            "Inc_100 = Decimal(`0.0'%'`)",
+        ])
+        return t
+
+    extras_table = use_memo(compute_extras, [])
+
+    return ui.flex(
+        ui.flex(
+            ui.heading("Throughput Comparison — GEO MEAN across GCs (p100, j25)", level=4),
+            ui.table(extras_table),
+            direction="column", flex_grow=1,
+        ),
+        direction="column",
+        flex_grow=1,
+        gap="size-200",
+        UNSAFE_style={"height": "100%", "overflow": "auto"},
+    )
+
+gc_rankings = gc_rankings_dashboard()
+gc_bench_summary = gc_bench_summary_dashboard()
+gc_throughput = gc_throughput_dashboard()
+gc_extras = gc_extras_dashboard()

From 1f092aade710f72f4b2337e918b1d8a8082160c6 Mon Sep 17 00:00:00 2001
From: stanbrub <stanbrubaker@illumon.com>
Date: Thu, 2 Jul 2026 17:58:47 -0600
Subject: [PATCH 73/73] Added all gc rankings tables

---
 docs/gc/all-gc-rankings.png | Bin 0 -> 1027451 bytes
 docs/gc/gc-report.md        |  24 ++++++++++++++----------
 2 files changed, 14 insertions(+), 10 deletions(-)
 create mode 100644 docs/gc/all-gc-rankings.png

diff --git a/docs/gc/all-gc-rankings.png b/docs/gc/all-gc-rankings.png
new file mode 100644
index 0000000000000000000000000000000000000000..ab219c720f648d999ca09fb8151460f2f7e112bf
GIT binary patch
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diff --git a/docs/gc/gc-report.md b/docs/gc/gc-report.md
index 9deb5c2e..8ee369fd 100644
--- a/docs/gc/gc-report.md
+++ b/docs/gc/gc-report.md
@@ -4,22 +4,20 @@ This report provides some insight into how various Deephaven CE operations behav
 
 We are covering only JVM 17 and JVM 25. This presents an interesting challenge, because GC options have changed dramatically in the four years in between. For example, ZGC generational didn't exist in JVM 17, while ZGC non-generational doesn't exist in JVM 25. The approach taken here was to use the options that will likely be the defaults in JVM 25+ and then try to use the nearest approximation in JVM 17.
 
-One other thing to note is that, judging by recent jdk release notes, the strategy for GCs going forward is to make GCs more self-tuning. Since the GC's top priority is keeping the application running, the GC can override user-supplied settings if it needs to. The JVM options used for this effort are intentionally minimal and tend to rely more on defaults.
+One other thing to note is that, judging by recent JDK release notes, the strategy for GCs going forward is to make GCs more self-tuning. Since the GC's top priority is keeping the application running, the GC can override user-supplied settings if it needs to. The JVM options used for this effort are intentionally minimal and tend to rely more on defaults.
 
 ## TL;DR
 
 Here are some highlights from the data:
-- For best Static throughput, use G1 or Parallel
-- For best Ticking throughput, use G1, but expect higher jitter
-- For lowest jitter, use Shenandoah (though it's lower throughput than G1)
-- For best combination of Ticking throughput and jitter, use Shenandoah Huge Pages
-- ZGC struggles with Deephaven cycles, especially Filters, with higher jitter and lower throughput
-- For a boost to throughput on >= 8G heap with low jitter regression, use huge memory pages (THP)
-- No difference in advice between 1sec and 100ms cycles
+- For best Static throughput, use G1 or G1 THP. (Others degrade by 4% to 22%) 
+- For best Ticking throughput, use G1, but expect higher jitter. (5% to 12% more)
+- For lowest jitter, use Shenandoah, though it's lower throughput than G1. (9% to 15% less)
+- For best 100ms cycle throughput-jitter combo, use Shenandoah THP (3rd-5th best throughput, best jitter)
+- For best 1sec cycle combo of throughput and jitter, use G1 THP (best throughput, 3rd best jitter)
 
 ## The Benchmarks
 
-The benchmarks used for this effort are not the nightly benchmarks, which run single operations typically for 8-10 seconds. Instead a longer running and smaller benchmark set is used that covers categories of operations. This set typically runs for 1.5 mins to 2 mins. The idea is to use few benchmarks to cover much of the operational code base. These are referred to as "Training Benchmarks".
+The benchmarks used for this effort are not the nightly benchmarks, which run single operations typically for 8-10 seconds. Instead a longer running and smaller benchmark set is used that covers categories of operations. This set typically runs for 1.5 mins to 2 mins, lazily reading from a large parquet file. The idea is to use few benchmarks to cover much of the operational code base. These are referred to as "Training Benchmarks".
 
 - AggBy: Runs multiple mathematical operations like avg, std, var, min, max, etc
 - Filter: Runs `where_in` and `where` filters
@@ -34,7 +32,7 @@ The set names for the various runs use a naming convention like `<gc-type>_<cycl
 - gc-type: `g1gc`, `shen`, `zgc`, `para`
 - cycle-time: `1000` (1sec), `100` (100ms)
 - autotune-load: `p80`, `p90`, `p100`, `p110` (Percentage throughput targets)
-- extra: `huge` (THP)
+- extra: `huge` (Transparent Huge Pages)
 
 ## Supporting Evidence for TL;DR
 
@@ -43,6 +41,12 @@ What follows are charts showing the results of many benchmarks runs using variou
 - Jitter: Starting with Coefficient of Variation, a normalized fraction starting from 1. So 1.04 would be 4% more jitter than 1.0.
 - On Budget: A percentage a cycles that finished on or below the cycle time (e.g. 1000ms or 100ms)
 
+## Overall Rankings
+
+Overall ranking can show the distance between the overall throughput, jitter, or on-budget metrics for each GC for the same set of configuration. For example, on JVM 25 for Static data, ZGC is 16% slower than G1.
+
+![All GC Rankings](./all-gc-rankings.png)
+
 ### Static Data Throughput
 
 The following chart shows Throughput for Static data for JVM 17. G1 comes in first with ZGC a surprising second.