diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index f772c9bd..51ca5782 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -48,4 +48,4 @@ jobs:
       - name: Install xarray_sql
         run: uv sync --dev
       - name: Run unit tests
-        run: uv run pytest
\ No newline at end of file
+        run: uv run pytest -m "not integration"
\ No newline at end of file
diff --git a/perf_tests/compute_air.py b/perf_tests/compute_air.py
index 879c7269..476cefe5 100755
--- a/perf_tests/compute_air.py
+++ b/perf_tests/compute_air.py
@@ -3,9 +3,9 @@
 import xarray as xr
 import xarray_sql as qr
 
-if __name__ == '__main__':
-  air = xr.tutorial.open_dataset('air_temperature')
-  chunks = {'time': 240}
+if __name__ == "__main__":
+  air = xr.tutorial.open_dataset("air_temperature")
+  chunks = {"time": 240}
   air = air.chunk(chunks)
 
   df = qr.read_xarray(air).compute()
diff --git a/perf_tests/compute_air.py-2024-02-26T22:57:59+07:00.svg b/perf_tests/compute_air.py-2024-02-26T22:57:59+07:00.svg
deleted file mode 100644
index a6c548c8..00000000
--- a/perf_tests/compute_air.py-2024-02-26T22:57:59+07:00.svg
+++ /dev/null
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deleted file mode 100644
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diff --git a/perf_tests/groupby_air.py b/perf_tests/groupby_air.py
index 622bf53b..768004b3 100755
--- a/perf_tests/groupby_air.py
+++ b/perf_tests/groupby_air.py
@@ -5,9 +5,9 @@
 from dask_sql import Context
 
 
-if __name__ == '__main__':
-  air = xr.tutorial.open_dataset('air_temperature')
-  chunks = {'time': 240, 'lat': 5, 'lon': 7}
+if __name__ == "__main__":
+  air = xr.tutorial.open_dataset("air_temperature")
+  chunks = {"time": 240, "lat": 5, "lon": 7}
   air = air.chunk(chunks)
   air_small = air.isel(
       time=slice(0, 12), lat=slice(0, 11), lon=slice(0, 10)
@@ -16,7 +16,7 @@
   df = qr.read_xarray(air_small)
 
   c = Context()
-  c.create_table('air', df)
+  c.create_table("air", df)
 
   query = c.sql(
       """
@@ -31,8 +31,8 @@
 
   result = query.compute()
 
-  expected = air_small.dims['lat'] * air_small.dims['lon']
+  expected = air_small.dims["lat"] * air_small.dims["lon"]
   assert (
       len(result) == expected
-  ), f'Length must be {expected}, but was {len(result)}.'
+  ), f"Length must be {expected}, but was {len(result)}."
   print(expected)
diff --git a/perf_tests/groupby_air.py-2024-02-15T13:01:22+07:00.svg b/perf_tests/groupby_air.py-2024-02-15T13:01:22+07:00.svg
deleted file mode 100644
index 99c778bc..00000000
--- a/perf_tests/groupby_air.py-2024-02-15T13:01:22+07:00.svg
+++ /dev/null
@@ -1,415 +0,0 @@
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-text { font-family:"Verdana"; font-size:12px; fill:rgb(0,0,0); }
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-#search:hover, #search.show { opacity:1; }
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-#frames > *:hover { stroke:black; stroke-width:0.5; cursor:pointer; }
-.hide { display:none; }
-.parent { opacity:0.5; }
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-    unzoombtn = document.getElementById("unzoom");
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-    svg = document.getElementsByTagName("svg")[0];
-    frames = document.getElementById("frames");
-    total_samples = parseInt(frames.attributes.total_samples.value);
-    searching = 0;
-
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-    var restore_state = function() {
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-        // Make width dynamic so the SVG fits its parent's width.
-        svg.removeAttribute("width");
-        // Edge requires us to have a viewBox that gets updated with size changes.
-        var isEdge = /Edge\/\d./i.test(navigator.userAgent);
-        var update_for_width_change = function() {
-            if (isEdge) {
-                svg.attributes.viewBox.value = "0 0 " + svg.width.baseVal.value + " " + svg.height.baseVal.value;
-            }
-
-            // Keep consistent padding on left and right of frames container.
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-
-            // Text truncation needs to be adjusted for the current width.
-            var el = frames.children;
-            for(var i = 0; i < el.length; i++) {
-                update_text(el[i]);
-            }
-
-            // Keep search elements at a fixed distance from right edge.
-            var svgWidth = svg.width.baseVal.value;
-            searchbtn.attributes.x.value = svgWidth - xpad;
-            matchedtxt.attributes.x.value = svgWidth - xpad;
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-        window.addEventListener('resize', function() {
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-        // This needs to be done asynchronously for Safari to work.
-        setTimeout(function() {
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-            if (!isEdge) {
-                svg.removeAttribute("viewBox");
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-        }, 0);
-    } else {
-        restore_state();
-    }
-}
-// event listeners
-window.addEventListener("click", function(e) {
-    var target = find_group(e.target);
-    if (target) {
-        if (target.nodeName == "a") {
-            if (e.ctrlKey === false) return;
-            e.preventDefault();
-        }
-        if (target.classList.contains("parent")) unzoom();
-        zoom(target);
-
-        // set parameters for zoom state
-        var el = target.querySelector("rect");
-        if (el && el.attributes && el.attributes.y && el.attributes["fg:x"]) {
-            var params = get_params()
-            params.x = el.attributes["fg:x"].value;
-            params.y = el.attributes.y.value;
-            history.replaceState(null, null, parse_params(params));
-        }
-    }
-    else if (e.target.id == "unzoom") {
-        unzoom();
-
-        // remove zoom state
-        var params = get_params();
-        if (params.x) delete params.x;
-        if (params.y) delete params.y;
-        history.replaceState(null, null, parse_params(params));
-    }
-    else if (e.target.id == "search") search_prompt();
-}, false)
-// mouse-over for info
-// show
-window.addEventListener("mouseover", function(e) {
-    var target = find_group(e.target);
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-// ctrl-F for search
-window.addEventListener("keydown",function (e) {
-    if (e.keyCode === 114 || (e.ctrlKey && e.keyCode === 70)) {
-        e.preventDefault();
-        search_prompt();
-    }
-}, false)
-// functions
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-    var params = {};
-    var paramsarr = window.location.search.substr(1).split('&');
-    for (var i = 0; i < paramsarr.length; ++i) {
-        var tmp = paramsarr[i].split("=");
-        if (!tmp[0] || !tmp[1]) continue;
-        params[tmp[0]]  = decodeURIComponent(tmp[1]);
-    }
-    return params;
-}
-function parse_params(params) {
-    var uri = "?";
-    for (var key in params) {
-        uri += key + '=' + encodeURIComponent(params[key]) + '&';
-    }
-    if (uri.slice(-1) == "&")
-        uri = uri.substring(0, uri.length - 1);
-    if (uri == '?')
-        uri = window.location.href.split('?')[0];
-    return uri;
-}
-function find_child(node, selector) {
-    var children = node.querySelectorAll(selector);
-    if (children.length) return children[0];
-    return;
-}
-function find_group(node) {
-    var parent = node.parentElement;
-    if (!parent) return;
-    if (parent.id == "frames") return node;
-    return find_group(parent);
-}
-function orig_save(e, attr, val) {
-    if (e.attributes["fg:orig_" + attr] != undefined) return;
-    if (e.attributes[attr] == undefined) return;
-    if (val == undefined) val = e.attributes[attr].value;
-    e.setAttribute("fg:orig_" + attr, val);
-}
-function orig_load(e, attr) {
-    if (e.attributes["fg:orig_"+attr] == undefined) return;
-    e.attributes[attr].value = e.attributes["fg:orig_" + attr].value;
-    e.removeAttribute("fg:orig_" + attr);
-}
-function g_to_text(e) {
-    var text = find_child(e, "title").firstChild.nodeValue;
-    return (text)
-}
-function g_to_func(e) {
-    var func = g_to_text(e);
-    // if there's any manipulation we want to do to the function
-    // name before it's searched, do it here before returning.
-    return (func);
-}
-function update_text(e) {
-    var r = find_child(e, "rect");
-    var t = find_child(e, "text");
-    var w = parseFloat(r.attributes.width.value) * frames.attributes.width.value / 100 - 3;
-    var txt = find_child(e, "title").textContent.replace(/\([^(]*\)$/,"");
-    t.attributes.x.value = format_percent((parseFloat(r.attributes.x.value) + (100 * 3 / frames.attributes.width.value)));
-    // Smaller than this size won't fit anything
-    if (w < 2 * fontsize * fontwidth) {
-        t.textContent = "";
-        return;
-    }
-    t.textContent = txt;
-    // Fit in full text width
-    if (/^ *\$/.test(txt) || t.getComputedTextLength() < w)
-        return;
-    if (truncate_text_right) {
-        // Truncate the right side of the text.
-        for (var x = txt.length - 2; x > 0; x--) {
-            if (t.getSubStringLength(0, x + 2) <= w) {
-                t.textContent = txt.substring(0, x) + "..";
-                return;
-            }
-        }
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-        // Truncate the left side of the text.
-        for (var x = 2; x < txt.length; x++) {
-            if (t.getSubStringLength(x - 2, txt.length) <= w) {
-                t.textContent = ".." + txt.substring(x, txt.length);
-                return;
-            }
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-    }
-    t.textContent = "";
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-// zoom
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-    if (e.tagName == "rect") {
-        e.attributes.x.value = format_percent(100 * parseInt(e.attributes["fg:x"].value) / total_samples);
-        e.attributes.width.value = format_percent(100 * parseInt(e.attributes["fg:w"].value) / total_samples);
-    }
-    if (e.childNodes == undefined) return;
-    for(var i = 0, c = e.childNodes; i < c.length; i++) {
-        zoom_reset(c[i]);
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-    if (e.tagName == "text") {
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-    } else if (e.tagName == "rect") {
-        e.attributes.x.value = format_percent(100 * (parseInt(e.attributes["fg:x"].value) - x) / zoomed_width_samples);
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-    if (e.childNodes == undefined) return;
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-        zoom_parent(c[i]);
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-    var width = parseInt(attr["fg:w"].value);
-    var xmin = parseInt(attr["fg:x"].value);
-    var xmax = xmin + width;
-    var ymin = parseFloat(attr.y.value);
-    unzoombtn.classList.remove("hide");
-    var el = frames.children;
-    for (var i = 0; i < el.length; i++) {
-        var e = el[i];
-        var a = find_child(e, "rect").attributes;
-        var ex = parseInt(a["fg:x"].value);
-        var ew = parseInt(a["fg:w"].value);
-        // Is it an ancestor
-        if (!inverted) {
-            var upstack = parseFloat(a.y.value) > ymin;
-        } else {
-            var upstack = parseFloat(a.y.value) < ymin;
-        }
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-                update_text(e);
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-                e.classList.add("hide");
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-        el[i].classList.remove("parent");
-        el[i].classList.remove("hide");
-        zoom_reset(el[i]);
-        update_text(el[i]);
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-    var params = get_params();
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-        var term = prompt("Enter a search term (regexp " +
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-        if (term != null) {
-            search(term)
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-    } else {
-        reset_search();
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-        searchbtn.classList.remove("show");
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-    var el = frames.children;
-    var matches = new Object();
-    var maxwidth = 0;
-    for (var i = 0; i < el.length; i++) {
-        var e = el[i];
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-            continue;
-        }
-        var func = g_to_func(e);
-        var rect = find_child(e, "rect");
-        if (func == null || rect == null)
-            continue;
-        // Save max width. Only works as we have a root frame
-        var w = parseInt(rect.attributes["fg:w"].value);
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-                    matches[x] = w;
-                }
-            }
-            searching = 1;
-        }
-    }
-    if (!searching)
-        return;
-    var params = get_params();
-    params.s = term;
-    history.replaceState(null, null, parse_params(params));
-
-    searchbtn.classList.add("show");
-    searchbtn.firstChild.nodeValue = "Reset Search";
-    // calculate percent matched, excluding vertical overlap
-    var count = 0;
-    var lastx = -1;
-    var lastw = 0;
-    var keys = Array();
-    for (k in matches) {
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-    // sort the matched frames by their x location
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-    // Step through frames saving only the biggest bottom-up frames
-    // thanks to the sort order. This relies on the tree property
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-    // display matched percent
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-}
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-// zoom
-function zoom_reset(e) {
-    if (e.tagName == "rect") {
-        e.attributes.x.value = format_percent(100 * parseInt(e.attributes["fg:x"].value) / total_samples);
-        e.attributes.width.value = format_percent(100 * parseInt(e.attributes["fg:w"].value) / total_samples);
-    }
-    if (e.childNodes == undefined) return;
-    for(var i = 0, c = e.childNodes; i < c.length; i++) {
-        zoom_reset(c[i]);
-    }
-}
-function zoom_child(e, x, zoomed_width_samples) {
-    if (e.tagName == "text") {
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-        e.attributes.x.value = format_percent(parent_x + (100 * 3 / frames.attributes.width.value));
-    } else if (e.tagName == "rect") {
-        e.attributes.x.value = format_percent(100 * (parseInt(e.attributes["fg:x"].value) - x) / zoomed_width_samples);
-        e.attributes.width.value = format_percent(100 * parseInt(e.attributes["fg:w"].value) / zoomed_width_samples);
-    }
-    if (e.childNodes == undefined) return;
-    for(var i = 0, c = e.childNodes; i < c.length; i++) {
-        zoom_child(c[i], x, zoomed_width_samples);
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-    if (e.attributes) {
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-            e.attributes.x.value = "0.0%";
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-        if (e.attributes.width != undefined) {
-            e.attributes.width.value = "100.0%";
-        }
-    }
-    if (e.childNodes == undefined) return;
-    for(var i = 0, c = e.childNodes; i < c.length; i++) {
-        zoom_parent(c[i]);
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-}
-function zoom(node) {
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-    var xmin = parseInt(attr["fg:x"].value);
-    var xmax = xmin + width;
-    var ymin = parseFloat(attr.y.value);
-    unzoombtn.classList.remove("hide");
-    var el = frames.children;
-    for (var i = 0; i < el.length; i++) {
-        var e = el[i];
-        var a = find_child(e, "rect").attributes;
-        var ex = parseInt(a["fg:x"].value);
-        var ew = parseInt(a["fg:w"].value);
-        // Is it an ancestor
-        if (!inverted) {
-            var upstack = parseFloat(a.y.value) > ymin;
-        } else {
-            var upstack = parseFloat(a.y.value) < ymin;
-        }
-        if (upstack) {
-            // Direct ancestor
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-                e.classList.add("parent");
-                zoom_parent(e);
-                update_text(e);
-            }
-            // not in current path
-            else
-                e.classList.add("hide");
-        }
-        // Children maybe
-        else {
-            // no common path
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-                e.classList.add("hide");
-            }
-            else {
-                zoom_child(e, xmin, width);
-                update_text(e);
-            }
-        }
-    }
-}
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-    unzoombtn.classList.add("hide");
-    var el = frames.children;
-    for(var i = 0; i < el.length; i++) {
-        el[i].classList.remove("parent");
-        el[i].classList.remove("hide");
-        zoom_reset(el[i]);
-        update_text(el[i]);
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-        orig_load(el[i], "fill")
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-    var params = get_params();
-    delete params.s;
-    history.replaceState(null, null, parse_params(params));
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-        var term = prompt("Enter a search term (regexp " +
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-        matchedtxt.classList.add("hide");
-        matchedtxt.firstChild.nodeValue = ""
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-function search(term) {
-    var re = new RegExp(term);
-    var el = frames.children;
-    var matches = new Object();
-    var maxwidth = 0;
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-        var e = el[i];
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-            continue;
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-        var func = g_to_func(e);
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-            continue;
-        // Save max width. Only works as we have a root frame
-        var w = parseInt(rect.attributes["fg:w"].value);
-        if (w > maxwidth)
-            maxwidth = w;
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-            // highlight
-            var x = parseInt(rect.attributes["fg:x"].value);
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-            // remember matches
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-                matches[x] = w;
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-                    // overwrite with parent
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-            searching = 1;
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-    }
-    if (!searching)
-        return;
-    var params = get_params();
-    params.s = term;
-    history.replaceState(null, null, parse_params(params));
-
-    searchbtn.classList.add("show");
-    searchbtn.firstChild.nodeValue = "Reset Search";
-    // calculate percent matched, excluding vertical overlap
-    var count = 0;
-    var lastx = -1;
-    var lastw = 0;
-    var keys = Array();
-    for (k in matches) {
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-            keys.push(k);
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-    // sort the matched frames by their x location
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-    // Step through frames saving only the biggest bottom-up frames
-    // thanks to the sort order. This relies on the tree property
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-    for (var k in keys) {
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-        var w = matches[keys[k]];
-        if (x >= lastx + lastw) {
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-            lastx = x;
-            lastw = w;
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-    // display matched percent
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-    if (pct != 100) pct = pct.toFixed(1);
-    matchedtxt.firstChild.nodeValue = "Matched: " + pct + "%";
-}
-function format_percent(n) {
-    return n.toFixed(4) + "%";
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+++ /dev/null
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-text { font-family:"Verdana"; font-size:12px; fill:rgb(0,0,0); }
-#title { text-anchor:middle; font-size:17px; }
-#matched { text-anchor:end; }
-#search { text-anchor:end; opacity:0.1; cursor:pointer; }
-#search:hover, #search.show { opacity:1; }
-#subtitle { text-anchor:middle; font-color:rgb(160,160,160); }
-#unzoom { cursor:pointer; }
-#frames > *:hover { stroke:black; stroke-width:0.5; cursor:pointer; }
-.hide { display:none; }
-.parent { opacity:0.5; }
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-        var fontsize = 12;
-        var fontwidth = 0.59;
-        var xpad = 10;
-        var inverted = true;
-        var searchcolor = 'rgb(230,0,230)';
-        var fluiddrawing = true;
-        var truncate_text_right = false;
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-    searchbtn = document.getElementById("search");
-    unzoombtn = document.getElementById("unzoom");
-    matchedtxt = document.getElementById("matched");
-    svg = document.getElementsByTagName("svg")[0];
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-    total_samples = parseInt(frames.attributes.total_samples.value);
-    searching = 0;
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-    // Use GET parameters to restore a flamegraph's state.
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-            }
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-            // Keep consistent padding on left and right of frames container.
-            frames.attributes.width.value = svg.width.baseVal.value - xpad * 2;
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-            // Text truncation needs to be adjusted for the current width.
-            var el = frames.children;
-            for(var i = 0; i < el.length; i++) {
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-            // Keep search elements at a fixed distance from right edge.
-            var svgWidth = svg.width.baseVal.value;
-            searchbtn.attributes.x.value = svgWidth - xpad;
-            matchedtxt.attributes.x.value = svgWidth - xpad;
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-        window.addEventListener('resize', function() {
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-        });
-        // This needs to be done asynchronously for Safari to work.
-        setTimeout(function() {
-            unzoom();
-            update_for_width_change();
-            restore_state();
-            if (!isEdge) {
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-    } else {
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-        zoom(target);
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-            params.x = el.attributes["fg:x"].value;
-            params.y = el.attributes.y.value;
-            history.replaceState(null, null, parse_params(params));
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-        unzoom();
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-        // remove zoom state
-        var params = get_params();
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-        if (params.y) delete params.y;
-        history.replaceState(null, null, parse_params(params));
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-    else if (e.target.id == "search") search_prompt();
-}, false)
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-// show
-window.addEventListener("mouseover", function(e) {
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-    if (target) details.nodeValue = nametype + " " + g_to_text(target);
-}, false)
-// clear
-window.addEventListener("mouseout", function(e) {
-    var target = find_group(e.target);
-    if (target) details.nodeValue = ' ';
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-window.addEventListener("keydown",function (e) {
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-        search_prompt();
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-        var tmp = paramsarr[i].split("=");
-        if (!tmp[0] || !tmp[1]) continue;
-        params[tmp[0]]  = decodeURIComponent(tmp[1]);
-    }
-    return params;
-}
-function parse_params(params) {
-    var uri = "?";
-    for (var key in params) {
-        uri += key + '=' + encodeURIComponent(params[key]) + '&';
-    }
-    if (uri.slice(-1) == "&")
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-    if (uri == '?')
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-    return uri;
-}
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-    var children = node.querySelectorAll(selector);
-    if (children.length) return children[0];
-    return;
-}
-function find_group(node) {
-    var parent = node.parentElement;
-    if (!parent) return;
-    if (parent.id == "frames") return node;
-    return find_group(parent);
-}
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-    if (e.attributes[attr] == undefined) return;
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-}
-function orig_load(e, attr) {
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-    e.attributes[attr].value = e.attributes["fg:orig_" + attr].value;
-    e.removeAttribute("fg:orig_" + attr);
-}
-function g_to_text(e) {
-    var text = find_child(e, "title").firstChild.nodeValue;
-    return (text)
-}
-function g_to_func(e) {
-    var func = g_to_text(e);
-    // if there's any manipulation we want to do to the function
-    // name before it's searched, do it here before returning.
-    return (func);
-}
-function update_text(e) {
-    var r = find_child(e, "rect");
-    var t = find_child(e, "text");
-    var w = parseFloat(r.attributes.width.value) * frames.attributes.width.value / 100 - 3;
-    var txt = find_child(e, "title").textContent.replace(/\([^(]*\)$/,"");
-    t.attributes.x.value = format_percent((parseFloat(r.attributes.x.value) + (100 * 3 / frames.attributes.width.value)));
-    // Smaller than this size won't fit anything
-    if (w < 2 * fontsize * fontwidth) {
-        t.textContent = "";
-        return;
-    }
-    t.textContent = txt;
-    // Fit in full text width
-    if (/^ *\$/.test(txt) || t.getComputedTextLength() < w)
-        return;
-    if (truncate_text_right) {
-        // Truncate the right side of the text.
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-            if (t.getSubStringLength(0, x + 2) <= w) {
-                t.textContent = txt.substring(0, x) + "..";
-                return;
-            }
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-                return;
-            }
-        }
-    }
-    t.textContent = "";
-}
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-    if (e.tagName == "rect") {
-        e.attributes.x.value = format_percent(100 * parseInt(e.attributes["fg:x"].value) / total_samples);
-        e.attributes.width.value = format_percent(100 * parseInt(e.attributes["fg:w"].value) / total_samples);
-    }
-    if (e.childNodes == undefined) return;
-    for(var i = 0, c = e.childNodes; i < c.length; i++) {
-        zoom_reset(c[i]);
-    }
-}
-function zoom_child(e, x, zoomed_width_samples) {
-    if (e.tagName == "text") {
-        var parent_x = parseFloat(find_child(e.parentNode, "rect[x]").attributes.x.value);
-        e.attributes.x.value = format_percent(parent_x + (100 * 3 / frames.attributes.width.value));
-    } else if (e.tagName == "rect") {
-        e.attributes.x.value = format_percent(100 * (parseInt(e.attributes["fg:x"].value) - x) / zoomed_width_samples);
-        e.attributes.width.value = format_percent(100 * parseInt(e.attributes["fg:w"].value) / zoomed_width_samples);
-    }
-    if (e.childNodes == undefined) return;
-    for(var i = 0, c = e.childNodes; i < c.length; i++) {
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-    }
-}
-function zoom_parent(e) {
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-            e.attributes.x.value = "0.0%";
-        }
-        if (e.attributes.width != undefined) {
-            e.attributes.width.value = "100.0%";
-        }
-    }
-    if (e.childNodes == undefined) return;
-    for(var i = 0, c = e.childNodes; i < c.length; i++) {
-        zoom_parent(c[i]);
-    }
-}
-function zoom(node) {
-    var attr = find_child(node, "rect").attributes;
-    var width = parseInt(attr["fg:w"].value);
-    var xmin = parseInt(attr["fg:x"].value);
-    var xmax = xmin + width;
-    var ymin = parseFloat(attr.y.value);
-    unzoombtn.classList.remove("hide");
-    var el = frames.children;
-    for (var i = 0; i < el.length; i++) {
-        var e = el[i];
-        var a = find_child(e, "rect").attributes;
-        var ex = parseInt(a["fg:x"].value);
-        var ew = parseInt(a["fg:w"].value);
-        // Is it an ancestor
-        if (!inverted) {
-            var upstack = parseFloat(a.y.value) > ymin;
-        } else {
-            var upstack = parseFloat(a.y.value) < ymin;
-        }
-        if (upstack) {
-            // Direct ancestor
-            if (ex <= xmin && (ex+ew) >= xmax) {
-                e.classList.add("parent");
-                zoom_parent(e);
-                update_text(e);
-            }
-            // not in current path
-            else
-                e.classList.add("hide");
-        }
-        // Children maybe
-        else {
-            // no common path
-            if (ex < xmin || ex >= xmax) {
-                e.classList.add("hide");
-            }
-            else {
-                zoom_child(e, xmin, width);
-                update_text(e);
-            }
-        }
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-}
-function unzoom() {
-    unzoombtn.classList.add("hide");
-    var el = frames.children;
-    for(var i = 0; i < el.length; i++) {
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-        el[i].classList.remove("hide");
-        zoom_reset(el[i]);
-        update_text(el[i]);
-    }
-}
-// search
-function reset_search() {
-    var el = document.querySelectorAll("#frames rect");
-    for (var i = 0; i < el.length; i++) {
-        orig_load(el[i], "fill")
-    }
-    var params = get_params();
-    delete params.s;
-    history.replaceState(null, null, parse_params(params));
-}
-function search_prompt() {
-    if (!searching) {
-        var term = prompt("Enter a search term (regexp " +
-            "allowed, eg: ^ext4_)", "");
-        if (term != null) {
-            search(term)
-        }
-    } else {
-        reset_search();
-        searching = 0;
-        searchbtn.classList.remove("show");
-        searchbtn.firstChild.nodeValue = "Search"
-        matchedtxt.classList.add("hide");
-        matchedtxt.firstChild.nodeValue = ""
-    }
-}
-function search(term) {
-    var re = new RegExp(term);
-    var el = frames.children;
-    var matches = new Object();
-    var maxwidth = 0;
-    for (var i = 0; i < el.length; i++) {
-        var e = el[i];
-        // Skip over frames which are either not visible, or below the zoomed-to frame
-        if (e.classList.contains("hide") || e.classList.contains("parent")) {
-            continue;
-        }
-        var func = g_to_func(e);
-        var rect = find_child(e, "rect");
-        if (func == null || rect == null)
-            continue;
-        // Save max width. Only works as we have a root frame
-        var w = parseInt(rect.attributes["fg:w"].value);
-        if (w > maxwidth)
-            maxwidth = w;
-        if (func.match(re)) {
-            // highlight
-            var x = parseInt(rect.attributes["fg:x"].value);
-            orig_save(rect, "fill");
-            rect.attributes.fill.value = searchcolor;
-            // remember matches
-            if (matches[x] == undefined) {
-                matches[x] = w;
-            } else {
-                if (w > matches[x]) {
-                    // overwrite with parent
-                    matches[x] = w;
-                }
-            }
-            searching = 1;
-        }
-    }
-    if (!searching)
-        return;
-    var params = get_params();
-    params.s = term;
-    history.replaceState(null, null, parse_params(params));
-
-    searchbtn.classList.add("show");
-    searchbtn.firstChild.nodeValue = "Reset Search";
-    // calculate percent matched, excluding vertical overlap
-    var count = 0;
-    var lastx = -1;
-    var lastw = 0;
-    var keys = Array();
-    for (k in matches) {
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-    }
-    // sort the matched frames by their x location
-    // ascending, then width descending
-    keys.sort(function(a, b){
-        return a - b;
-    });
-    // Step through frames saving only the biggest bottom-up frames
-    // thanks to the sort order. This relies on the tree property
-    // where children are always smaller than their parents.
-    for (var k in keys) {
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-            lastx = x;
-            lastw = w;
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-    }
-    // display matched percent
-    matchedtxt.classList.remove("hide");
-    var pct = 100 * count / maxwidth;
-    if (pct != 100) pct = pct.toFixed(1);
-    matchedtxt.firstChild.nodeValue = "Matched: " + pct + "%";
-}
-function format_percent(n) {
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-}
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-window.addEventListener("keydown",function (e) {
-    if (e.keyCode === 114 || (e.ctrlKey && e.keyCode === 70)) {
-        e.preventDefault();
-        search_prompt();
-    }
-}, false)
-// functions
-function get_params() {
-    var params = {};
-    var paramsarr = window.location.search.substr(1).split('&');
-    for (var i = 0; i < paramsarr.length; ++i) {
-        var tmp = paramsarr[i].split("=");
-        if (!tmp[0] || !tmp[1]) continue;
-        params[tmp[0]]  = decodeURIComponent(tmp[1]);
-    }
-    return params;
-}
-function parse_params(params) {
-    var uri = "?";
-    for (var key in params) {
-        uri += key + '=' + encodeURIComponent(params[key]) + '&';
-    }
-    if (uri.slice(-1) == "&")
-        uri = uri.substring(0, uri.length - 1);
-    if (uri == '?')
-        uri = window.location.href.split('?')[0];
-    return uri;
-}
-function find_child(node, selector) {
-    var children = node.querySelectorAll(selector);
-    if (children.length) return children[0];
-    return;
-}
-function find_group(node) {
-    var parent = node.parentElement;
-    if (!parent) return;
-    if (parent.id == "frames") return node;
-    return find_group(parent);
-}
-function orig_save(e, attr, val) {
-    if (e.attributes["fg:orig_" + attr] != undefined) return;
-    if (e.attributes[attr] == undefined) return;
-    if (val == undefined) val = e.attributes[attr].value;
-    e.setAttribute("fg:orig_" + attr, val);
-}
-function orig_load(e, attr) {
-    if (e.attributes["fg:orig_"+attr] == undefined) return;
-    e.attributes[attr].value = e.attributes["fg:orig_" + attr].value;
-    e.removeAttribute("fg:orig_" + attr);
-}
-function g_to_text(e) {
-    var text = find_child(e, "title").firstChild.nodeValue;
-    return (text)
-}
-function g_to_func(e) {
-    var func = g_to_text(e);
-    // if there's any manipulation we want to do to the function
-    // name before it's searched, do it here before returning.
-    return (func);
-}
-function update_text(e) {
-    var r = find_child(e, "rect");
-    var t = find_child(e, "text");
-    var w = parseFloat(r.attributes.width.value) * frames.attributes.width.value / 100 - 3;
-    var txt = find_child(e, "title").textContent.replace(/\([^(]*\)$/,"");
-    t.attributes.x.value = format_percent((parseFloat(r.attributes.x.value) + (100 * 3 / frames.attributes.width.value)));
-    // Smaller than this size won't fit anything
-    if (w < 2 * fontsize * fontwidth) {
-        t.textContent = "";
-        return;
-    }
-    t.textContent = txt;
-    // Fit in full text width
-    if (/^ *\$/.test(txt) || t.getComputedTextLength() < w)
-        return;
-    if (truncate_text_right) {
-        // Truncate the right side of the text.
-        for (var x = txt.length - 2; x > 0; x--) {
-            if (t.getSubStringLength(0, x + 2) <= w) {
-                t.textContent = txt.substring(0, x) + "..";
-                return;
-            }
-        }
-    } else {
-        // Truncate the left side of the text.
-        for (var x = 2; x < txt.length; x++) {
-            if (t.getSubStringLength(x - 2, txt.length) <= w) {
-                t.textContent = ".." + txt.substring(x, txt.length);
-                return;
-            }
-        }
-    }
-    t.textContent = "";
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-// zoom
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-    if (e.tagName == "rect") {
-        e.attributes.x.value = format_percent(100 * parseInt(e.attributes["fg:x"].value) / total_samples);
-        e.attributes.width.value = format_percent(100 * parseInt(e.attributes["fg:w"].value) / total_samples);
-    }
-    if (e.childNodes == undefined) return;
-    for(var i = 0, c = e.childNodes; i < c.length; i++) {
-        zoom_reset(c[i]);
-    }
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-function zoom_child(e, x, zoomed_width_samples) {
-    if (e.tagName == "text") {
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-        e.attributes.x.value = format_percent(parent_x + (100 * 3 / frames.attributes.width.value));
-    } else if (e.tagName == "rect") {
-        e.attributes.x.value = format_percent(100 * (parseInt(e.attributes["fg:x"].value) - x) / zoomed_width_samples);
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-        }
-        if (e.attributes.width != undefined) {
-            e.attributes.width.value = "100.0%";
-        }
-    }
-    if (e.childNodes == undefined) return;
-    for(var i = 0, c = e.childNodes; i < c.length; i++) {
-        zoom_parent(c[i]);
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-function zoom(node) {
-    var attr = find_child(node, "rect").attributes;
-    var width = parseInt(attr["fg:w"].value);
-    var xmin = parseInt(attr["fg:x"].value);
-    var xmax = xmin + width;
-    var ymin = parseFloat(attr.y.value);
-    unzoombtn.classList.remove("hide");
-    var el = frames.children;
-    for (var i = 0; i < el.length; i++) {
-        var e = el[i];
-        var a = find_child(e, "rect").attributes;
-        var ex = parseInt(a["fg:x"].value);
-        var ew = parseInt(a["fg:w"].value);
-        // Is it an ancestor
-        if (!inverted) {
-            var upstack = parseFloat(a.y.value) > ymin;
-        } else {
-            var upstack = parseFloat(a.y.value) < ymin;
-        }
-        if (upstack) {
-            // Direct ancestor
-            if (ex <= xmin && (ex+ew) >= xmax) {
-                e.classList.add("parent");
-                zoom_parent(e);
-                update_text(e);
-            }
-            // not in current path
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-                e.classList.add("hide");
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-            // no common path
-            if (ex < xmin || ex >= xmax) {
-                e.classList.add("hide");
-            }
-            else {
-                zoom_child(e, xmin, width);
-                update_text(e);
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-    var el = frames.children;
-    for(var i = 0; i < el.length; i++) {
-        el[i].classList.remove("parent");
-        el[i].classList.remove("hide");
-        zoom_reset(el[i]);
-        update_text(el[i]);
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-// search
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-    for (var i = 0; i < el.length; i++) {
-        orig_load(el[i], "fill")
-    }
-    var params = get_params();
-    delete params.s;
-    history.replaceState(null, null, parse_params(params));
-}
-function search_prompt() {
-    if (!searching) {
-        var term = prompt("Enter a search term (regexp " +
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-        if (term != null) {
-            search(term)
-        }
-    } else {
-        reset_search();
-        searching = 0;
-        searchbtn.classList.remove("show");
-        searchbtn.firstChild.nodeValue = "Search"
-        matchedtxt.classList.add("hide");
-        matchedtxt.firstChild.nodeValue = ""
-    }
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-function search(term) {
-    var re = new RegExp(term);
-    var el = frames.children;
-    var matches = new Object();
-    var maxwidth = 0;
-    for (var i = 0; i < el.length; i++) {
-        var e = el[i];
-        // Skip over frames which are either not visible, or below the zoomed-to frame
-        if (e.classList.contains("hide") || e.classList.contains("parent")) {
-            continue;
-        }
-        var func = g_to_func(e);
-        var rect = find_child(e, "rect");
-        if (func == null || rect == null)
-            continue;
-        // Save max width. Only works as we have a root frame
-        var w = parseInt(rect.attributes["fg:w"].value);
-        if (w > maxwidth)
-            maxwidth = w;
-        if (func.match(re)) {
-            // highlight
-            var x = parseInt(rect.attributes["fg:x"].value);
-            orig_save(rect, "fill");
-            rect.attributes.fill.value = searchcolor;
-            // remember matches
-            if (matches[x] == undefined) {
-                matches[x] = w;
-            } else {
-                if (w > matches[x]) {
-                    // overwrite with parent
-                    matches[x] = w;
-                }
-            }
-            searching = 1;
-        }
-    }
-    if (!searching)
-        return;
-    var params = get_params();
-    params.s = term;
-    history.replaceState(null, null, parse_params(params));
-
-    searchbtn.classList.add("show");
-    searchbtn.firstChild.nodeValue = "Reset Search";
-    // calculate percent matched, excluding vertical overlap
-    var count = 0;
-    var lastx = -1;
-    var lastw = 0;
-    var keys = Array();
-    for (k in matches) {
-        if (matches.hasOwnProperty(k))
-            keys.push(k);
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-    // sort the matched frames by their x location
-    // ascending, then width descending
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-    // Step through frames saving only the biggest bottom-up frames
-    // thanks to the sort order. This relies on the tree property
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-    for (var k in keys) {
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-        var w = matches[keys[k]];
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-    // display matched percent
-    matchedtxt.classList.remove("hide");
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-    if (pct != 100) pct = pct.toFixed(1);
-    matchedtxt.firstChild.nodeValue = "Matched: " + pct + "%";
-}
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diff --git a/perf_tests/groupby_air_full.py b/perf_tests/groupby_air_full.py
index 8a28e593..2dff68e8 100755
--- a/perf_tests/groupby_air_full.py
+++ b/perf_tests/groupby_air_full.py
@@ -5,15 +5,15 @@
 from dask_sql import Context
 
 
-if __name__ == '__main__':
-  air = xr.tutorial.open_dataset('air_temperature')
-  chunks = {'time': 240}
+if __name__ == "__main__":
+  air = xr.tutorial.open_dataset("air_temperature")
+  chunks = {"time": 240}
   air = air.chunk(chunks)
 
   df = qr.read_xarray(air)
 
   c = Context()
-  c.create_table('air', df)
+  c.create_table("air", df)
 
   query = c.sql(
       """
@@ -28,8 +28,8 @@
 
   result = query.compute()
 
-  expected = air.dims['lat'] * air.dims['lon']
+  expected = air.dims["lat"] * air.dims["lon"]
   assert (
       len(result) == expected
-  ), f'Length must be {expected}, but was {len(result)}.'
+  ), f"Length must be {expected}, but was {len(result)}."
   print(expected)
diff --git a/perf_tests/groupby_air_full.py-2024-02-26T23:06:38+07:00.svg b/perf_tests/groupby_air_full.py-2024-02-26T23:06:38+07:00.svg
deleted file mode 100644
index 2a39241e..00000000
--- a/perf_tests/groupby_air_full.py-2024-02-26T23:06:38+07:00.svg
+++ /dev/null
@@ -1,415 +0,0 @@
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-text { font-family:"Verdana"; font-size:12px; fill:rgb(0,0,0); }
-#title { text-anchor:middle; font-size:17px; }
-#matched { text-anchor:end; }
-#search { text-anchor:end; opacity:0.1; cursor:pointer; }
-#search:hover, #search.show { opacity:1; }
-#subtitle { text-anchor:middle; font-color:rgb(160,160,160); }
-#unzoom { cursor:pointer; }
-#frames > *:hover { stroke:black; stroke-width:0.5; cursor:pointer; }
-.hide { display:none; }
-.parent { opacity:0.5; }
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-        var fontwidth = 0.59;
-        var xpad = 10;
-        var inverted = true;
-        var searchcolor = 'rgb(230,0,230)';
-        var fluiddrawing = true;
-        var truncate_text_right = false;
-    ]]><![CDATA["use strict";
-var details, searchbtn, unzoombtn, matchedtxt, svg, searching, frames;
-function init(evt) {
-    details = document.getElementById("details").firstChild;
-    searchbtn = document.getElementById("search");
-    unzoombtn = document.getElementById("unzoom");
-    matchedtxt = document.getElementById("matched");
-    svg = document.getElementsByTagName("svg")[0];
-    frames = document.getElementById("frames");
-    total_samples = parseInt(frames.attributes.total_samples.value);
-    searching = 0;
-
-    // Use GET parameters to restore a flamegraph's state.
-    var restore_state = function() {
-        var params = get_params();
-        if (params.x && params.y)
-            zoom(find_group(document.querySelector('[*|x="' + params.x + '"][y="' + params.y + '"]')));
-        if (params.s)
-            search(params.s);
-    };
-
-    if (fluiddrawing) {
-        // Make width dynamic so the SVG fits its parent's width.
-        svg.removeAttribute("width");
-        // Edge requires us to have a viewBox that gets updated with size changes.
-        var isEdge = /Edge\/\d./i.test(navigator.userAgent);
-        var update_for_width_change = function() {
-            if (isEdge) {
-                svg.attributes.viewBox.value = "0 0 " + svg.width.baseVal.value + " " + svg.height.baseVal.value;
-            }
-
-            // Keep consistent padding on left and right of frames container.
-            frames.attributes.width.value = svg.width.baseVal.value - xpad * 2;
-
-            // Text truncation needs to be adjusted for the current width.
-            var el = frames.children;
-            for(var i = 0; i < el.length; i++) {
-                update_text(el[i]);
-            }
-
-            // Keep search elements at a fixed distance from right edge.
-            var svgWidth = svg.width.baseVal.value;
-            searchbtn.attributes.x.value = svgWidth - xpad;
-            matchedtxt.attributes.x.value = svgWidth - xpad;
-        };
-        window.addEventListener('resize', function() {
-            update_for_width_change();
-        });
-        // This needs to be done asynchronously for Safari to work.
-        setTimeout(function() {
-            unzoom();
-            update_for_width_change();
-            restore_state();
-            if (!isEdge) {
-                svg.removeAttribute("viewBox");
-            }
-        }, 0);
-    } else {
-        restore_state();
-    }
-}
-// event listeners
-window.addEventListener("click", function(e) {
-    var target = find_group(e.target);
-    if (target) {
-        if (target.nodeName == "a") {
-            if (e.ctrlKey === false) return;
-            e.preventDefault();
-        }
-        if (target.classList.contains("parent")) unzoom();
-        zoom(target);
-
-        // set parameters for zoom state
-        var el = target.querySelector("rect");
-        if (el && el.attributes && el.attributes.y && el.attributes["fg:x"]) {
-            var params = get_params()
-            params.x = el.attributes["fg:x"].value;
-            params.y = el.attributes.y.value;
-            history.replaceState(null, null, parse_params(params));
-        }
-    }
-    else if (e.target.id == "unzoom") {
-        unzoom();
-
-        // remove zoom state
-        var params = get_params();
-        if (params.x) delete params.x;
-        if (params.y) delete params.y;
-        history.replaceState(null, null, parse_params(params));
-    }
-    else if (e.target.id == "search") search_prompt();
-}, false)
-// mouse-over for info
-// show
-window.addEventListener("mouseover", function(e) {
-    var target = find_group(e.target);
-    if (target) details.nodeValue = nametype + " " + g_to_text(target);
-}, false)
-// clear
-window.addEventListener("mouseout", function(e) {
-    var target = find_group(e.target);
-    if (target) details.nodeValue = ' ';
-}, false)
-// ctrl-F for search
-window.addEventListener("keydown",function (e) {
-    if (e.keyCode === 114 || (e.ctrlKey && e.keyCode === 70)) {
-        e.preventDefault();
-        search_prompt();
-    }
-}, false)
-// functions
-function get_params() {
-    var params = {};
-    var paramsarr = window.location.search.substr(1).split('&');
-    for (var i = 0; i < paramsarr.length; ++i) {
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-        params[tmp[0]]  = decodeURIComponent(tmp[1]);
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-    return params;
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-    if (uri == '?')
-        uri = window.location.href.split('?')[0];
-    return uri;
-}
-function find_child(node, selector) {
-    var children = node.querySelectorAll(selector);
-    if (children.length) return children[0];
-    return;
-}
-function find_group(node) {
-    var parent = node.parentElement;
-    if (!parent) return;
-    if (parent.id == "frames") return node;
-    return find_group(parent);
-}
-function orig_save(e, attr, val) {
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-    if (e.attributes[attr] == undefined) return;
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-}
-function orig_load(e, attr) {
-    if (e.attributes["fg:orig_"+attr] == undefined) return;
-    e.attributes[attr].value = e.attributes["fg:orig_" + attr].value;
-    e.removeAttribute("fg:orig_" + attr);
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-function g_to_text(e) {
-    var text = find_child(e, "title").firstChild.nodeValue;
-    return (text)
-}
-function g_to_func(e) {
-    var func = g_to_text(e);
-    // if there's any manipulation we want to do to the function
-    // name before it's searched, do it here before returning.
-    return (func);
-}
-function update_text(e) {
-    var r = find_child(e, "rect");
-    var t = find_child(e, "text");
-    var w = parseFloat(r.attributes.width.value) * frames.attributes.width.value / 100 - 3;
-    var txt = find_child(e, "title").textContent.replace(/\([^(]*\)$/,"");
-    t.attributes.x.value = format_percent((parseFloat(r.attributes.x.value) + (100 * 3 / frames.attributes.width.value)));
-    // Smaller than this size won't fit anything
-    if (w < 2 * fontsize * fontwidth) {
-        t.textContent = "";
-        return;
-    }
-    t.textContent = txt;
-    // Fit in full text width
-    if (/^ *\$/.test(txt) || t.getComputedTextLength() < w)
-        return;
-    if (truncate_text_right) {
-        // Truncate the right side of the text.
-        for (var x = txt.length - 2; x > 0; x--) {
-            if (t.getSubStringLength(0, x + 2) <= w) {
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-                return;
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-    if (e.tagName == "text") {
-        var parent_x = parseFloat(find_child(e.parentNode, "rect[x]").attributes.x.value);
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-    } else if (e.tagName == "rect") {
-        e.attributes.x.value = format_percent(100 * (parseInt(e.attributes["fg:x"].value) - x) / zoomed_width_samples);
-        e.attributes.width.value = format_percent(100 * parseInt(e.attributes["fg:w"].value) / zoomed_width_samples);
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-    }
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-        }
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-        }
-    }
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-    var width = parseInt(attr["fg:w"].value);
-    var xmin = parseInt(attr["fg:x"].value);
-    var xmax = xmin + width;
-    var ymin = parseFloat(attr.y.value);
-    unzoombtn.classList.remove("hide");
-    var el = frames.children;
-    for (var i = 0; i < el.length; i++) {
-        var e = el[i];
-        var a = find_child(e, "rect").attributes;
-        var ex = parseInt(a["fg:x"].value);
-        var ew = parseInt(a["fg:w"].value);
-        // Is it an ancestor
-        if (!inverted) {
-            var upstack = parseFloat(a.y.value) > ymin;
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-            var upstack = parseFloat(a.y.value) < ymin;
-        }
-        if (upstack) {
-            // Direct ancestor
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-                e.classList.add("parent");
-                zoom_parent(e);
-                update_text(e);
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-            // not in current path
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-                e.classList.add("hide");
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-        // Children maybe
-        else {
-            // no common path
-            if (ex < xmin || ex >= xmax) {
-                e.classList.add("hide");
-            }
-            else {
-                zoom_child(e, xmin, width);
-                update_text(e);
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-        }
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-    unzoombtn.classList.add("hide");
-    var el = frames.children;
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-        el[i].classList.remove("parent");
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-        zoom_reset(el[i]);
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-    var params = get_params();
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-    var el = frames.children;
-    var matches = new Object();
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-        var func = g_to_func(e);
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-            continue;
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-                matches[x] = w;
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-                    // overwrite with parent
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-            searching = 1;
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-    if (!searching)
-        return;
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-    params.s = term;
-    history.replaceState(null, null, parse_params(params));
-
-    searchbtn.classList.add("show");
-    searchbtn.firstChild.nodeValue = "Reset Search";
-    // calculate percent matched, excluding vertical overlap
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-    // Step through frames saving only the biggest bottom-up frames
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-}
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\ No newline at end of file
diff --git a/perf_tests/open_era5.py b/perf_tests/open_era5.py
index b85d6c8c..27e7edcc 100755
--- a/perf_tests/open_era5.py
+++ b/perf_tests/open_era5.py
@@ -5,11 +5,11 @@
 
 # Requires authenticating with GCP
 era5_ds = xr.open_zarr(
-    'gs://gcp-public-data-arco-era5/ar/1959-2022-full_37-1h-0p25deg-chunk-1.zarr-v2',
-    chunks={'time': 240, 'level': 1},
+    "gs://gcp-public-data-arco-era5/ar/1959-2022-full_37-1h-0p25deg-chunk-1.zarr-v2",
+    chunks={"time": 240, "level": 1},
 )
 era5_wind_df = qr.read_xarray(
-    era5_ds[['u_component_of_wind', 'v_component_of_wind']]
+    era5_ds[["u_component_of_wind", "v_component_of_wind"]]
 )
 
 print(era5_wind_df.columns)
diff --git a/perf_tests/open_era5.py-2024-02-18T17:21:44+07:00.svg b/perf_tests/open_era5.py-2024-02-18T17:21:44+07:00.svg
deleted file mode 100644
index a0f598ac..00000000
--- a/perf_tests/open_era5.py-2024-02-18T17:21:44+07:00.svg
+++ /dev/null
@@ -1,415 +0,0 @@
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-
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-
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-
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-        // remove zoom state
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-function g_to_text(e) {
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-    return (text)
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-    var func = g_to_text(e);
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-            continue;
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-        var func = g_to_func(e);
-        var rect = find_child(e, "rect");
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-            continue;
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-            maxwidth = w;
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-    if (!searching)
-        return;
-    var params = get_params();
-    params.s = term;
-    history.replaceState(null, null, parse_params(params));
-
-    searchbtn.classList.add("show");
-    searchbtn.firstChild.nodeValue = "Reset Search";
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-    var lastw = 0;
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-    var w = parseFloat(r.attributes.width.value) * frames.attributes.width.value / 100 - 3;
-    var txt = find_child(e, "title").textContent.replace(/\([^(]*\)$/,"");
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-        return;
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-    params.s = term;
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-    searchbtn.classList.add("show");
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-    // calculate percent matched, excluding vertical overlap
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-    var lastx = -1;
-    var lastw = 0;
-    var keys = Array();
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-var details, searchbtn, unzoombtn, matchedtxt, svg, searching, frames;
-function init(evt) {
-    details = document.getElementById("details").firstChild;
-    searchbtn = document.getElementById("search");
-    unzoombtn = document.getElementById("unzoom");
-    matchedtxt = document.getElementById("matched");
-    svg = document.getElementsByTagName("svg")[0];
-    frames = document.getElementById("frames");
-    total_samples = parseInt(frames.attributes.total_samples.value);
-    searching = 0;
-
-    // Use GET parameters to restore a flamegraph's state.
-    var restore_state = function() {
-        var params = get_params();
-        if (params.x && params.y)
-            zoom(find_group(document.querySelector('[*|x="' + params.x + '"][y="' + params.y + '"]')));
-        if (params.s)
-            search(params.s);
-    };
-
-    if (fluiddrawing) {
-        // Make width dynamic so the SVG fits its parent's width.
-        svg.removeAttribute("width");
-        // Edge requires us to have a viewBox that gets updated with size changes.
-        var isEdge = /Edge\/\d./i.test(navigator.userAgent);
-        var update_for_width_change = function() {
-            if (isEdge) {
-                svg.attributes.viewBox.value = "0 0 " + svg.width.baseVal.value + " " + svg.height.baseVal.value;
-            }
-
-            // Keep consistent padding on left and right of frames container.
-            frames.attributes.width.value = svg.width.baseVal.value - xpad * 2;
-
-            // Text truncation needs to be adjusted for the current width.
-            var el = frames.children;
-            for(var i = 0; i < el.length; i++) {
-                update_text(el[i]);
-            }
-
-            // Keep search elements at a fixed distance from right edge.
-            var svgWidth = svg.width.baseVal.value;
-            searchbtn.attributes.x.value = svgWidth - xpad;
-            matchedtxt.attributes.x.value = svgWidth - xpad;
-        };
-        window.addEventListener('resize', function() {
-            update_for_width_change();
-        });
-        // This needs to be done asynchronously for Safari to work.
-        setTimeout(function() {
-            unzoom();
-            update_for_width_change();
-            restore_state();
-            if (!isEdge) {
-                svg.removeAttribute("viewBox");
-            }
-        }, 0);
-    } else {
-        restore_state();
-    }
-}
-// event listeners
-window.addEventListener("click", function(e) {
-    var target = find_group(e.target);
-    if (target) {
-        if (target.nodeName == "a") {
-            if (e.ctrlKey === false) return;
-            e.preventDefault();
-        }
-        if (target.classList.contains("parent")) unzoom();
-        zoom(target);
-
-        // set parameters for zoom state
-        var el = target.querySelector("rect");
-        if (el && el.attributes && el.attributes.y && el.attributes["fg:x"]) {
-            var params = get_params()
-            params.x = el.attributes["fg:x"].value;
-            params.y = el.attributes.y.value;
-            history.replaceState(null, null, parse_params(params));
-        }
-    }
-    else if (e.target.id == "unzoom") {
-        unzoom();
-
-        // remove zoom state
-        var params = get_params();
-        if (params.x) delete params.x;
-        if (params.y) delete params.y;
-        history.replaceState(null, null, parse_params(params));
-    }
-    else if (e.target.id == "search") search_prompt();
-}, false)
-// mouse-over for info
-// show
-window.addEventListener("mouseover", function(e) {
-    var target = find_group(e.target);
-    if (target) details.nodeValue = nametype + " " + g_to_text(target);
-}, false)
-// clear
-window.addEventListener("mouseout", function(e) {
-    var target = find_group(e.target);
-    if (target) details.nodeValue = ' ';
-}, false)
-// ctrl-F for search
-window.addEventListener("keydown",function (e) {
-    if (e.keyCode === 114 || (e.ctrlKey && e.keyCode === 70)) {
-        e.preventDefault();
-        search_prompt();
-    }
-}, false)
-// functions
-function get_params() {
-    var params = {};
-    var paramsarr = window.location.search.substr(1).split('&');
-    for (var i = 0; i < paramsarr.length; ++i) {
-        var tmp = paramsarr[i].split("=");
-        if (!tmp[0] || !tmp[1]) continue;
-        params[tmp[0]]  = decodeURIComponent(tmp[1]);
-    }
-    return params;
-}
-function parse_params(params) {
-    var uri = "?";
-    for (var key in params) {
-        uri += key + '=' + encodeURIComponent(params[key]) + '&';
-    }
-    if (uri.slice(-1) == "&")
-        uri = uri.substring(0, uri.length - 1);
-    if (uri == '?')
-        uri = window.location.href.split('?')[0];
-    return uri;
-}
-function find_child(node, selector) {
-    var children = node.querySelectorAll(selector);
-    if (children.length) return children[0];
-    return;
-}
-function find_group(node) {
-    var parent = node.parentElement;
-    if (!parent) return;
-    if (parent.id == "frames") return node;
-    return find_group(parent);
-}
-function orig_save(e, attr, val) {
-    if (e.attributes["fg:orig_" + attr] != undefined) return;
-    if (e.attributes[attr] == undefined) return;
-    if (val == undefined) val = e.attributes[attr].value;
-    e.setAttribute("fg:orig_" + attr, val);
-}
-function orig_load(e, attr) {
-    if (e.attributes["fg:orig_"+attr] == undefined) return;
-    e.attributes[attr].value = e.attributes["fg:orig_" + attr].value;
-    e.removeAttribute("fg:orig_" + attr);
-}
-function g_to_text(e) {
-    var text = find_child(e, "title").firstChild.nodeValue;
-    return (text)
-}
-function g_to_func(e) {
-    var func = g_to_text(e);
-    // if there's any manipulation we want to do to the function
-    // name before it's searched, do it here before returning.
-    return (func);
-}
-function update_text(e) {
-    var r = find_child(e, "rect");
-    var t = find_child(e, "text");
-    var w = parseFloat(r.attributes.width.value) * frames.attributes.width.value / 100 - 3;
-    var txt = find_child(e, "title").textContent.replace(/\([^(]*\)$/,"");
-    t.attributes.x.value = format_percent((parseFloat(r.attributes.x.value) + (100 * 3 / frames.attributes.width.value)));
-    // Smaller than this size won't fit anything
-    if (w < 2 * fontsize * fontwidth) {
-        t.textContent = "";
-        return;
-    }
-    t.textContent = txt;
-    // Fit in full text width
-    if (/^ *\$/.test(txt) || t.getComputedTextLength() < w)
-        return;
-    if (truncate_text_right) {
-        // Truncate the right side of the text.
-        for (var x = txt.length - 2; x > 0; x--) {
-            if (t.getSubStringLength(0, x + 2) <= w) {
-                t.textContent = txt.substring(0, x) + "..";
-                return;
-            }
-        }
-    } else {
-        // Truncate the left side of the text.
-        for (var x = 2; x < txt.length; x++) {
-            if (t.getSubStringLength(x - 2, txt.length) <= w) {
-                t.textContent = ".." + txt.substring(x, txt.length);
-                return;
-            }
-        }
-    }
-    t.textContent = "";
-}
-// zoom
-function zoom_reset(e) {
-    if (e.tagName == "rect") {
-        e.attributes.x.value = format_percent(100 * parseInt(e.attributes["fg:x"].value) / total_samples);
-        e.attributes.width.value = format_percent(100 * parseInt(e.attributes["fg:w"].value) / total_samples);
-    }
-    if (e.childNodes == undefined) return;
-    for(var i = 0, c = e.childNodes; i < c.length; i++) {
-        zoom_reset(c[i]);
-    }
-}
-function zoom_child(e, x, zoomed_width_samples) {
-    if (e.tagName == "text") {
-        var parent_x = parseFloat(find_child(e.parentNode, "rect[x]").attributes.x.value);
-        e.attributes.x.value = format_percent(parent_x + (100 * 3 / frames.attributes.width.value));
-    } else if (e.tagName == "rect") {
-        e.attributes.x.value = format_percent(100 * (parseInt(e.attributes["fg:x"].value) - x) / zoomed_width_samples);
-        e.attributes.width.value = format_percent(100 * parseInt(e.attributes["fg:w"].value) / zoomed_width_samples);
-    }
-    if (e.childNodes == undefined) return;
-    for(var i = 0, c = e.childNodes; i < c.length; i++) {
-        zoom_child(c[i], x, zoomed_width_samples);
-    }
-}
-function zoom_parent(e) {
-    if (e.attributes) {
-        if (e.attributes.x != undefined) {
-            e.attributes.x.value = "0.0%";
-        }
-        if (e.attributes.width != undefined) {
-            e.attributes.width.value = "100.0%";
-        }
-    }
-    if (e.childNodes == undefined) return;
-    for(var i = 0, c = e.childNodes; i < c.length; i++) {
-        zoom_parent(c[i]);
-    }
-}
-function zoom(node) {
-    var attr = find_child(node, "rect").attributes;
-    var width = parseInt(attr["fg:w"].value);
-    var xmin = parseInt(attr["fg:x"].value);
-    var xmax = xmin + width;
-    var ymin = parseFloat(attr.y.value);
-    unzoombtn.classList.remove("hide");
-    var el = frames.children;
-    for (var i = 0; i < el.length; i++) {
-        var e = el[i];
-        var a = find_child(e, "rect").attributes;
-        var ex = parseInt(a["fg:x"].value);
-        var ew = parseInt(a["fg:w"].value);
-        // Is it an ancestor
-        if (!inverted) {
-            var upstack = parseFloat(a.y.value) > ymin;
-        } else {
-            var upstack = parseFloat(a.y.value) < ymin;
-        }
-        if (upstack) {
-            // Direct ancestor
-            if (ex <= xmin && (ex+ew) >= xmax) {
-                e.classList.add("parent");
-                zoom_parent(e);
-                update_text(e);
-            }
-            // not in current path
-            else
-                e.classList.add("hide");
-        }
-        // Children maybe
-        else {
-            // no common path
-            if (ex < xmin || ex >= xmax) {
-                e.classList.add("hide");
-            }
-            else {
-                zoom_child(e, xmin, width);
-                update_text(e);
-            }
-        }
-    }
-}
-function unzoom() {
-    unzoombtn.classList.add("hide");
-    var el = frames.children;
-    for(var i = 0; i < el.length; i++) {
-        el[i].classList.remove("parent");
-        el[i].classList.remove("hide");
-        zoom_reset(el[i]);
-        update_text(el[i]);
-    }
-}
-// search
-function reset_search() {
-    var el = document.querySelectorAll("#frames rect");
-    for (var i = 0; i < el.length; i++) {
-        orig_load(el[i], "fill")
-    }
-    var params = get_params();
-    delete params.s;
-    history.replaceState(null, null, parse_params(params));
-}
-function search_prompt() {
-    if (!searching) {
-        var term = prompt("Enter a search term (regexp " +
-            "allowed, eg: ^ext4_)", "");
-        if (term != null) {
-            search(term)
-        }
-    } else {
-        reset_search();
-        searching = 0;
-        searchbtn.classList.remove("show");
-        searchbtn.firstChild.nodeValue = "Search"
-        matchedtxt.classList.add("hide");
-        matchedtxt.firstChild.nodeValue = ""
-    }
-}
-function search(term) {
-    var re = new RegExp(term);
-    var el = frames.children;
-    var matches = new Object();
-    var maxwidth = 0;
-    for (var i = 0; i < el.length; i++) {
-        var e = el[i];
-        // Skip over frames which are either not visible, or below the zoomed-to frame
-        if (e.classList.contains("hide") || e.classList.contains("parent")) {
-            continue;
-        }
-        var func = g_to_func(e);
-        var rect = find_child(e, "rect");
-        if (func == null || rect == null)
-            continue;
-        // Save max width. Only works as we have a root frame
-        var w = parseInt(rect.attributes["fg:w"].value);
-        if (w > maxwidth)
-            maxwidth = w;
-        if (func.match(re)) {
-            // highlight
-            var x = parseInt(rect.attributes["fg:x"].value);
-            orig_save(rect, "fill");
-            rect.attributes.fill.value = searchcolor;
-            // remember matches
-            if (matches[x] == undefined) {
-                matches[x] = w;
-            } else {
-                if (w > matches[x]) {
-                    // overwrite with parent
-                    matches[x] = w;
-                }
-            }
-            searching = 1;
-        }
-    }
-    if (!searching)
-        return;
-    var params = get_params();
-    params.s = term;
-    history.replaceState(null, null, parse_params(params));
-
-    searchbtn.classList.add("show");
-    searchbtn.firstChild.nodeValue = "Reset Search";
-    // calculate percent matched, excluding vertical overlap
-    var count = 0;
-    var lastx = -1;
-    var lastw = 0;
-    var keys = Array();
-    for (k in matches) {
-        if (matches.hasOwnProperty(k))
-            keys.push(k);
-    }
-    // sort the matched frames by their x location
-    // ascending, then width descending
-    keys.sort(function(a, b){
-        return a - b;
-    });
-    // Step through frames saving only the biggest bottom-up frames
-    // thanks to the sort order. This relies on the tree property
-    // where children are always smaller than their parents.
-    for (var k in keys) {
-        var x = parseInt(keys[k]);
-        var w = matches[keys[k]];
-        if (x >= lastx + lastw) {
-            count += w;
-            lastx = x;
-            lastw = w;
-        }
-    }
-    // display matched percent
-    matchedtxt.classList.remove("hide");
-    var pct = 100 * count / maxwidth;
-    if (pct != 100) pct = pct.toFixed(1);
-    matchedtxt.firstChild.nodeValue = "Matched: " + pct + "%";
-}
-function format_percent(n) {
-    return n.toFixed(4) + "%";
-}
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diff --git a/perf_tests/sanity.py b/perf_tests/sanity.py
index e9118dfb..2d51a684 100755
--- a/perf_tests/sanity.py
+++ b/perf_tests/sanity.py
@@ -3,9 +3,9 @@
 import xarray as xr
 import xarray_sql as qr
 
-if __name__ == '__main__':
-  air = xr.tutorial.open_dataset('air_temperature')
-  chunks = {'time': 240, 'lat': 5, 'lon': 7}
+if __name__ == "__main__":
+  air = xr.tutorial.open_dataset("air_temperature")
+  chunks = {"time": 240, "lat": 5, "lon": 7}
 
   air_small = air.isel(
       time=slice(0, 12), lat=slice(0, 11), lon=slice(0, 10)
diff --git a/perf_tests/sanity.py-2024-02-15T09:08:28+07:00.svg b/perf_tests/sanity.py-2024-02-15T09:08:28+07:00.svg
deleted file mode 100644
index c8f952e8..00000000
--- a/perf_tests/sanity.py-2024-02-15T09:08:28+07:00.svg
+++ /dev/null
@@ -1,415 +0,0 @@
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-text { font-family:"Verdana"; font-size:12px; fill:rgb(0,0,0); }
-#title { text-anchor:middle; font-size:17px; }
-#matched { text-anchor:end; }
-#search { text-anchor:end; opacity:0.1; cursor:pointer; }
-#search:hover, #search.show { opacity:1; }
-#subtitle { text-anchor:middle; font-color:rgb(160,160,160); }
-#unzoom { cursor:pointer; }
-#frames > *:hover { stroke:black; stroke-width:0.5; cursor:pointer; }
-.hide { display:none; }
-.parent { opacity:0.5; }
-</style><script type="text/ecmascript"><![CDATA[
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-        var fontsize = 12;
-        var fontwidth = 0.59;
-        var xpad = 10;
-        var inverted = true;
-        var searchcolor = 'rgb(230,0,230)';
-        var fluiddrawing = true;
-        var truncate_text_right = false;
-    ]]><![CDATA["use strict";
-var details, searchbtn, unzoombtn, matchedtxt, svg, searching, frames;
-function init(evt) {
-    details = document.getElementById("details").firstChild;
-    searchbtn = document.getElementById("search");
-    unzoombtn = document.getElementById("unzoom");
-    matchedtxt = document.getElementById("matched");
-    svg = document.getElementsByTagName("svg")[0];
-    frames = document.getElementById("frames");
-    total_samples = parseInt(frames.attributes.total_samples.value);
-    searching = 0;
-
-    // Use GET parameters to restore a flamegraph's state.
-    var restore_state = function() {
-        var params = get_params();
-        if (params.x && params.y)
-            zoom(find_group(document.querySelector('[*|x="' + params.x + '"][y="' + params.y + '"]')));
-        if (params.s)
-            search(params.s);
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-
-    if (fluiddrawing) {
-        // Make width dynamic so the SVG fits its parent's width.
-        svg.removeAttribute("width");
-        // Edge requires us to have a viewBox that gets updated with size changes.
-        var isEdge = /Edge\/\d./i.test(navigator.userAgent);
-        var update_for_width_change = function() {
-            if (isEdge) {
-                svg.attributes.viewBox.value = "0 0 " + svg.width.baseVal.value + " " + svg.height.baseVal.value;
-            }
-
-            // Keep consistent padding on left and right of frames container.
-            frames.attributes.width.value = svg.width.baseVal.value - xpad * 2;
-
-            // Text truncation needs to be adjusted for the current width.
-            var el = frames.children;
-            for(var i = 0; i < el.length; i++) {
-                update_text(el[i]);
-            }
-
-            // Keep search elements at a fixed distance from right edge.
-            var svgWidth = svg.width.baseVal.value;
-            searchbtn.attributes.x.value = svgWidth - xpad;
-            matchedtxt.attributes.x.value = svgWidth - xpad;
-        };
-        window.addEventListener('resize', function() {
-            update_for_width_change();
-        });
-        // This needs to be done asynchronously for Safari to work.
-        setTimeout(function() {
-            unzoom();
-            update_for_width_change();
-            restore_state();
-            if (!isEdge) {
-                svg.removeAttribute("viewBox");
-            }
-        }, 0);
-    } else {
-        restore_state();
-    }
-}
-// event listeners
-window.addEventListener("click", function(e) {
-    var target = find_group(e.target);
-    if (target) {
-        if (target.nodeName == "a") {
-            if (e.ctrlKey === false) return;
-            e.preventDefault();
-        }
-        if (target.classList.contains("parent")) unzoom();
-        zoom(target);
-
-        // set parameters for zoom state
-        var el = target.querySelector("rect");
-        if (el && el.attributes && el.attributes.y && el.attributes["fg:x"]) {
-            var params = get_params()
-            params.x = el.attributes["fg:x"].value;
-            params.y = el.attributes.y.value;
-            history.replaceState(null, null, parse_params(params));
-        }
-    }
-    else if (e.target.id == "unzoom") {
-        unzoom();
-
-        // remove zoom state
-        var params = get_params();
-        if (params.x) delete params.x;
-        if (params.y) delete params.y;
-        history.replaceState(null, null, parse_params(params));
-    }
-    else if (e.target.id == "search") search_prompt();
-}, false)
-// mouse-over for info
-// show
-window.addEventListener("mouseover", function(e) {
-    var target = find_group(e.target);
-    if (target) details.nodeValue = nametype + " " + g_to_text(target);
-}, false)
-// clear
-window.addEventListener("mouseout", function(e) {
-    var target = find_group(e.target);
-    if (target) details.nodeValue = ' ';
-}, false)
-// ctrl-F for search
-window.addEventListener("keydown",function (e) {
-    if (e.keyCode === 114 || (e.ctrlKey && e.keyCode === 70)) {
-        e.preventDefault();
-        search_prompt();
-    }
-}, false)
-// functions
-function get_params() {
-    var params = {};
-    var paramsarr = window.location.search.substr(1).split('&');
-    for (var i = 0; i < paramsarr.length; ++i) {
-        var tmp = paramsarr[i].split("=");
-        if (!tmp[0] || !tmp[1]) continue;
-        params[tmp[0]]  = decodeURIComponent(tmp[1]);
-    }
-    return params;
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-function parse_params(params) {
-    var uri = "?";
-    for (var key in params) {
-        uri += key + '=' + encodeURIComponent(params[key]) + '&';
-    }
-    if (uri.slice(-1) == "&")
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-    if (uri == '?')
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-    return uri;
-}
-function find_child(node, selector) {
-    var children = node.querySelectorAll(selector);
-    if (children.length) return children[0];
-    return;
-}
-function find_group(node) {
-    var parent = node.parentElement;
-    if (!parent) return;
-    if (parent.id == "frames") return node;
-    return find_group(parent);
-}
-function orig_save(e, attr, val) {
-    if (e.attributes["fg:orig_" + attr] != undefined) return;
-    if (e.attributes[attr] == undefined) return;
-    if (val == undefined) val = e.attributes[attr].value;
-    e.setAttribute("fg:orig_" + attr, val);
-}
-function orig_load(e, attr) {
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-    e.attributes[attr].value = e.attributes["fg:orig_" + attr].value;
-    e.removeAttribute("fg:orig_" + attr);
-}
-function g_to_text(e) {
-    var text = find_child(e, "title").firstChild.nodeValue;
-    return (text)
-}
-function g_to_func(e) {
-    var func = g_to_text(e);
-    // if there's any manipulation we want to do to the function
-    // name before it's searched, do it here before returning.
-    return (func);
-}
-function update_text(e) {
-    var r = find_child(e, "rect");
-    var t = find_child(e, "text");
-    var w = parseFloat(r.attributes.width.value) * frames.attributes.width.value / 100 - 3;
-    var txt = find_child(e, "title").textContent.replace(/\([^(]*\)$/,"");
-    t.attributes.x.value = format_percent((parseFloat(r.attributes.x.value) + (100 * 3 / frames.attributes.width.value)));
-    // Smaller than this size won't fit anything
-    if (w < 2 * fontsize * fontwidth) {
-        t.textContent = "";
-        return;
-    }
-    t.textContent = txt;
-    // Fit in full text width
-    if (/^ *\$/.test(txt) || t.getComputedTextLength() < w)
-        return;
-    if (truncate_text_right) {
-        // Truncate the right side of the text.
-        for (var x = txt.length - 2; x > 0; x--) {
-            if (t.getSubStringLength(0, x + 2) <= w) {
-                t.textContent = txt.substring(0, x) + "..";
-                return;
-            }
-        }
-    } else {
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-                return;
-            }
-        }
-    }
-    t.textContent = "";
-}
-// zoom
-function zoom_reset(e) {
-    if (e.tagName == "rect") {
-        e.attributes.x.value = format_percent(100 * parseInt(e.attributes["fg:x"].value) / total_samples);
-        e.attributes.width.value = format_percent(100 * parseInt(e.attributes["fg:w"].value) / total_samples);
-    }
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-        zoom_reset(c[i]);
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-        e.attributes.x.value = format_percent(parent_x + (100 * 3 / frames.attributes.width.value));
-    } else if (e.tagName == "rect") {
-        e.attributes.x.value = format_percent(100 * (parseInt(e.attributes["fg:x"].value) - x) / zoomed_width_samples);
-        e.attributes.width.value = format_percent(100 * parseInt(e.attributes["fg:w"].value) / zoomed_width_samples);
-    }
-    if (e.childNodes == undefined) return;
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-    }
-}
-function zoom_parent(e) {
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-            e.attributes.x.value = "0.0%";
-        }
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-            e.attributes.width.value = "100.0%";
-        }
-    }
-    if (e.childNodes == undefined) return;
-    for(var i = 0, c = e.childNodes; i < c.length; i++) {
-        zoom_parent(c[i]);
-    }
-}
-function zoom(node) {
-    var attr = find_child(node, "rect").attributes;
-    var width = parseInt(attr["fg:w"].value);
-    var xmin = parseInt(attr["fg:x"].value);
-    var xmax = xmin + width;
-    var ymin = parseFloat(attr.y.value);
-    unzoombtn.classList.remove("hide");
-    var el = frames.children;
-    for (var i = 0; i < el.length; i++) {
-        var e = el[i];
-        var a = find_child(e, "rect").attributes;
-        var ex = parseInt(a["fg:x"].value);
-        var ew = parseInt(a["fg:w"].value);
-        // Is it an ancestor
-        if (!inverted) {
-            var upstack = parseFloat(a.y.value) > ymin;
-        } else {
-            var upstack = parseFloat(a.y.value) < ymin;
-        }
-        if (upstack) {
-            // Direct ancestor
-            if (ex <= xmin && (ex+ew) >= xmax) {
-                e.classList.add("parent");
-                zoom_parent(e);
-                update_text(e);
-            }
-            // not in current path
-            else
-                e.classList.add("hide");
-        }
-        // Children maybe
-        else {
-            // no common path
-            if (ex < xmin || ex >= xmax) {
-                e.classList.add("hide");
-            }
-            else {
-                zoom_child(e, xmin, width);
-                update_text(e);
-            }
-        }
-    }
-}
-function unzoom() {
-    unzoombtn.classList.add("hide");
-    var el = frames.children;
-    for(var i = 0; i < el.length; i++) {
-        el[i].classList.remove("parent");
-        el[i].classList.remove("hide");
-        zoom_reset(el[i]);
-        update_text(el[i]);
-    }
-}
-// search
-function reset_search() {
-    var el = document.querySelectorAll("#frames rect");
-    for (var i = 0; i < el.length; i++) {
-        orig_load(el[i], "fill")
-    }
-    var params = get_params();
-    delete params.s;
-    history.replaceState(null, null, parse_params(params));
-}
-function search_prompt() {
-    if (!searching) {
-        var term = prompt("Enter a search term (regexp " +
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-        if (term != null) {
-            search(term)
-        }
-    } else {
-        reset_search();
-        searching = 0;
-        searchbtn.classList.remove("show");
-        searchbtn.firstChild.nodeValue = "Search"
-        matchedtxt.classList.add("hide");
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-    }
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-                }
-            }
-            searching = 1;
-        }
-    }
-    if (!searching)
-        return;
-    var params = get_params();
-    params.s = term;
-    history.replaceState(null, null, parse_params(params));
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-    searchbtn.classList.add("show");
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-    }
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-    // ascending, then width descending
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deleted file mode 100644
index 890f7aa0..00000000
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deleted file mode 100644
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-        var ex = parseInt(a["fg:x"].value);
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-    searchbtn.classList.add("show");
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deleted file mode 100644
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deleted file mode 100644
index 010b8a5c..00000000
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\ No newline at end of file
diff --git a/pyproject.toml b/pyproject.toml
index d6b1c04f..d3608dda 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -62,4 +62,4 @@ dev = [
     "xarray_sql[test]",
     "py-spy>=0.4.0",
     "pyink>=24.10.1",
-]
+]
\ No newline at end of file
diff --git a/xarray_sql/df.py b/xarray_sql/df.py
index 644dfee5..6632c96d 100644
--- a/xarray_sql/df.py
+++ b/xarray_sql/df.py
@@ -179,15 +179,18 @@ def read_xarray(ds: xr.Dataset, chunks: Chunks = None) -> pa.RecordBatchReader:
   Returns:
     A PyArrow Table, which is a table representation of the input Dataset.
   """
-
-  def pivot_block(b: Block):
-    return pivot(ds.isel(b))
-
   fst = next(iter(ds.values())).dims
   assert all(
       da.dims == fst for da in ds.values()
   ), "All dimensions must be equal. Please filter data_vars in the Dataset."
 
-  schema = _parse_schema(ds)
-  blocks = block_slices(ds, chunks)
+  blocks = list(block_slices(ds, chunks))
+
+  def pivot_block(b: Block):
+    return pivot(ds.isel(b))
+
+  schema = pa.Schema.from_pandas(pivot_block(blocks[0]))
+  last_schema = pa.Schema.from_pandas(pivot_block(blocks[-1]))
+  assert schema == last_schema, "Schemas must be consistent across blocks!"
+
   return from_map_batched(pivot_block, blocks, schema=schema)
diff --git a/xarray_sql/df_integrationtest.py b/xarray_sql/df_integrationtest.py
deleted file mode 100644
index 6f0eae4d..00000000
--- a/xarray_sql/df_integrationtest.py
+++ /dev/null
@@ -1,29 +0,0 @@
-import unittest
-
-import xarray as xr
-
-from . import read_xarray
-
-
-class Era5TestCast(unittest.TestCase):
-
-  def test_open_era5(self):
-    era5_ds = xr.open_zarr(
-        'gs://gcp-public-data-arco-era5/ar/1959-2022-full_37-1h-0p25deg-chunk-1.zarr-v2',
-        chunks={'time': 240, 'level': 1},
-    )
-    era5_wind_df = read_xarray(
-        era5_ds[['u_component_of_wind', 'v_component_of_wind']]
-    )
-
-    self.assertEqual(
-        list(era5_wind_df.columns),
-        [
-            'time',
-            'level',
-            'latitude',
-            'longitude',
-            'u_component_of_wind',
-            'v_component_of_wind',
-        ],
-    )
diff --git a/xarray_sql/df_test.py b/xarray_sql/df_test.py
index 403f8155..ad618545 100644
--- a/xarray_sql/df_test.py
+++ b/xarray_sql/df_test.py
@@ -1,10 +1,10 @@
 import itertools
 import tracemalloc
-import unittest
 
 import numpy as np
 import pandas as pd
 import pyarrow as pa
+import pytest
 import xarray as xr
 
 from .df import explode, read_xarray, block_slices, from_map, pivot, from_map_batched
@@ -14,15 +14,15 @@ def rand_wx(start: str, end: str) -> xr.Dataset:
   np.random.seed(42)
   lat = np.linspace(-90, 90, num=720)
   lon = np.linspace(-180, 180, num=1440)
-  time = pd.date_range(start, end, freq='h')
+  time = pd.date_range(start, end, freq="h")
   level = np.array([1000, 500], dtype=np.int32)
   reference_time = pd.Timestamp(start)
   temperature = 15 + 8 * np.random.randn(720, 1440, len(time), len(level))
   precipitation = 10 * np.random.rand(720, 1440, len(time), len(level))
   return xr.Dataset(
       data_vars=dict(
-          temperature=(['lat', 'lon', 'time', 'level'], temperature),
-          precipitation=(['lat', 'lon', 'time', 'level'], precipitation),
+          temperature=(["lat", "lon", "time", "level"], temperature),
+          precipitation=(["lat", "lon", "time", "level"], precipitation),
       ),
       coords=dict(
           lat=lat,
@@ -31,7 +31,7 @@ def rand_wx(start: str, end: str) -> xr.Dataset:
           level=level,
           reference_time=reference_time,
       ),
-      attrs=dict(description='Random weather.'),
+      attrs=dict(description="Random weather."),
   )
 
 
@@ -39,349 +39,325 @@ def create_large_dataset(time_steps=1000, lat_points=100, lon_points=100):
   """Create a large xarray dataset for memory testing."""
   np.random.seed(42)
 
-  # Create coordinates
-  time = pd.date_range('2020-01-01', periods=time_steps, freq='h')
+  time = pd.date_range("2020-01-01", periods=time_steps, freq="h")
   lat = np.linspace(-90, 90, lat_points)
   lon = np.linspace(-180, 180, lon_points)
 
-  # Create large data arrays
   temp_data = np.random.rand(time_steps, lat_points, lon_points) * 40 - 10
   precip_data = np.random.rand(time_steps, lat_points, lon_points) * 100
 
   return xr.Dataset(
       {
-          'temperature': (['time', 'lat', 'lon'], temp_data),
-          'precipitation': (['time', 'lat', 'lon'], precip_data),
-      },
-      coords={
-          'time': time,
-          'lat': lat,
-          'lon': lon,
+          "temperature": (["time", "lat", "lon"], temp_data),
+          "precipitation": (["time", "lat", "lon"], precip_data),
       },
+      coords={"time": time, "lat": lat, "lon": lon},
   )
 
 
 def adding_function(x, y):
   """Simple function that adds two values and returns a DataFrame."""
-  result = pd.DataFrame({'x': [x], 'y': [y], 'sum': [x + y]})
+  result = pd.DataFrame({"x": [x], "y": [y], "sum": [x + y]})
   return result
 
 
-class DaskTestCase(unittest.TestCase):
+@pytest.fixture
+def air():
+  ds = xr.tutorial.open_dataset("air_temperature")
+  chunks = {"time": 240}
+  return ds.chunk(chunks)
 
-  def setUp(self) -> None:
-    self.air = xr.tutorial.open_dataset('air_temperature')
-    self.chunks = {'time': 240}
-    self.air = self.air.chunk(self.chunks)
 
-    self.air_small = self.air.isel(
-        time=slice(0, 12), lat=slice(0, 11), lon=slice(0, 10)
-    ).chunk(self.chunks)
-    self.randwx = rand_wx('1995-01-13T00', '1995-01-13T01')
+@pytest.fixture
+def air_small(air):
+  return air.isel(time=slice(0, 12), lat=slice(0, 11), lon=slice(0, 10)).chunk(
+      {"time": 240}
+  )
 
 
-class ExplodeTest(DaskTestCase):
+@pytest.fixture
+def randwx():
+  return rand_wx("1995-01-13T00", "1995-01-13T01")
 
-  def test_cardinality(self):
-    dss = explode(self.air)
-    self.assertEqual(
-        len(list(dss)), np.prod([len(c) for c in self.air.chunks.values()])
-    )
 
-  def test_dim_sizes__one(self):
-    ds = next(iter(explode(self.air)))
-    for k, v in self.chunks.items():
-      self.assertIn(k, ds.dims)
-      self.assertEqual(v, ds.sizes[k])
+@pytest.fixture
+def large_ds():
+  return create_large_dataset().chunk({"time": 25})
 
-  def skip_test_dim_sizes__all(self):
-    # TODO(alxmrs): Why is this test slow?
-    dss = explode(self.air)
-    self.assertEqual(
-        [tuple(ds.dims.values()) for ds in dss],
-        list(itertools.product(*self.air.chunksizes.values())),
-    )
 
-  def test_data_equal__one__first(self):
-    ds = next(iter(explode(self.air)))
-    iselection = {dim: slice(0, s) for dim, s in ds.sizes.items()}
-    self.assertEqual(self.air.isel(iselection), ds)
+def test_explode_cardinality(air):
+  dss = explode(air)
+  assert len(list(dss)) == np.prod([len(c) for c in air.chunks.values()])
 
-  def test_data_equal__one__last(self):
-    dss = list(explode(self.air))
-    ds = dss[-1]
-    iselection = {dim: slice(0, s) for dim, s in ds.sizes.items()}
-    self.assertEqual(self.air.isel(iselection), ds)
 
+def test_explode_dim_sizes_one(air):
+  chunks = {"time": 240}
+  ds = next(iter(explode(air)))
+  for k, v in chunks.items():
+    assert k in ds.dims
+    assert v == ds.sizes[k]
 
-class FromMapTest(unittest.TestCase):
 
-  def test_basic_from_map(self):
-    """Test basic from_map functionality with pandas DataFrames."""
+@pytest.mark.skip(reason="TODO(alxmrs): Why is this test slow?")
+def test_explode_dim_sizes_all(air):
+  dss = explode(air)
+  assert [tuple(ds.dims.values()) for ds in dss] == list(
+      itertools.product(*air.chunksizes.values())
+  )
 
-    def make_df(x):
-      return pd.DataFrame({'value': [x, x * 2], 'index': [0, 1]})
 
-    result = from_map(make_df, [1, 2, 3])
-    self.assertIsInstance(result, pa.Table)
-    self.assertEqual(len(result), 6)  # 3 inputs * 2 rows each
-    self.assertEqual(result.column_names, ['value', 'index'])
+def test_explode_data_equal_one_first(air):
+  ds = next(iter(explode(air)))
+  iselection = {dim: slice(0, s) for dim, s in ds.sizes.items()}
+  assert air.isel(iselection).equals(ds)
 
-  def test_from_map_with_multiple_iterables(self):
-    """Test from_map with multiple iterables."""
 
-    def add_values(x, y):
-      return pd.DataFrame({'sum': [x + y], 'x': [x], 'y': [y]})
+def test_explode_data_equal_one_last(air):
+  dss = list(explode(air))
+  ds = dss[-1]
 
-    result = from_map(add_values, [1, 2], [10, 20])
-    self.assertIsInstance(result, pa.Table)
-    self.assertEqual(len(result), 2)
+  # For the last chunk, we need to calculate where it actually starts
+  # The original logic slice(0, s) only works for the first chunk
+  iselection = {}
+  for dim in ds.dims:
+    # Get chunk boundaries
+    chunk_bounds = np.cumsum((0,) + air.chunks[dim])
+    # Last chunk index
+    last_chunk_idx = len(air.chunks[dim]) - 1
+    # Calculate actual start and end positions
+    start = chunk_bounds[last_chunk_idx]
+    end = chunk_bounds[last_chunk_idx + 1]
+    iselection[dim] = slice(start, end)
 
-    # Convert to pandas to check values
-    df = result.to_pandas()
-    self.assertEqual(list(df['sum']), [11, 22])
+  assert air.isel(iselection).equals(ds)
 
-  def test_from_map_with_args(self):
-    """Test from_map with additional arguments."""
 
-    def multiply_and_add(x, multiplier, add_value):
-      return pd.DataFrame({'result': [x * multiplier + add_value]})
+def test_from_map_basic():
+  def make_df(x):
+    return pd.DataFrame({"value": [x, x * 2], "index": [0, 1]})
 
-    result = from_map(multiply_and_add, [1, 2, 3], args=(2, 10))
-    self.assertIsInstance(result, pa.Table)
-    self.assertEqual(len(result), 3)
+  result = from_map(make_df, [1, 2, 3])
+  assert isinstance(result, pa.Table)
+  assert len(result) == 6
+  assert result.column_names == ["value", "index"]
 
-    df = result.to_pandas()
-    self.assertEqual(
-        list(df['result']), [12, 14, 16]
-    )  # (1*2+10, 2*2+10, 3*2+10)
 
-  def test_from_map_with_pyarrow_tables(self):
-    """Test from_map when function returns PyArrow tables."""
+def test_from_map_multiple_iterables():
+  def add_values(x, y):
+    return pd.DataFrame({"sum": [x + y], "x": [x], "y": [y]})
 
-    def make_arrow_table(x):
-      df = pd.DataFrame({'value': [x]})
-      return pa.Table.from_pandas(df)
+  result = from_map(add_values, [1, 2], [10, 20])
+  assert isinstance(result, pa.Table)
+  assert len(result) == 2
 
-    result = from_map(make_arrow_table, [1, 2, 3])
-    self.assertIsInstance(result, pa.Table)
-    self.assertEqual(len(result), 3)
+  df = result.to_pandas()
+  assert list(df["sum"]) == [11, 22]
 
 
-class TestFromMapBatchedCorrectness(DaskTestCase):
-  """Test correctness of from_map_batched function."""
+def test_from_map_with_args():
+  def multiply_and_add(x, multiplier, add_value):
+    return pd.DataFrame({"result": [x * multiplier + add_value]})
 
-  def test_basic_functionality(self):
-    """Test that from_map_batched produces correct RecordBatchReader."""
-    blocks = list(
-        block_slices(self.air_small, chunks={'time': 4, 'lat': 3, 'lon': 4})
-    )
+  result = from_map(multiply_and_add, [1, 2, 3], args=(2, 10))
+  assert isinstance(result, pa.Table)
+  assert len(result) == 3
 
-    # Get expected schema
-    first_block_df = pivot(self.air_small.isel(blocks[0]))
-    expected_schema = pa.Schema.from_pandas(first_block_df)
-
-    # Create RecordBatchReader
-    reader = from_map_batched(
-        pivot,
-        [self.air_small.isel(block) for block in blocks],
-        schema=expected_schema,
-    )
-
-    # Verify it's a RecordBatchReader
-    self.assertIsInstance(reader, pa.RecordBatchReader)
-
-    # Verify schema
-    self.assertEqual(reader.schema, expected_schema)
+  df = result.to_pandas()
+  assert list(df["result"]) == [12, 14, 16]
 
-    # Read all batches and verify content
-    batches = list(reader)
-    self.assertGreater(len(batches), 0)
-
-    # Verify each batch has the correct schema
-    for batch in batches:
-      self.assertEqual(batch.schema, expected_schema)
-      self.assertGreater(len(batch), 0)
-
-  def test_multiple_iterables(self):
-    """Test from_map_batched with multiple iterables."""
-    x_values = [1, 2, 3, 4, 5]
-    y_values = [10, 20, 30, 40, 50]
-
-    expected_schema = pa.schema(
-        [('x', pa.int64()), ('y', pa.int64()), ('sum', pa.int64())]
-    )
 
-    reader = from_map_batched(
-        adding_function, x_values, y_values, schema=expected_schema
-    )
-
-    # Read all data
-    table = reader.read_all()
-    df = table.to_pandas()
-
-    # Verify results
-    expected_df = pd.DataFrame(
-        {
-            'x': x_values,
-            'y': y_values,
-            'sum': [x + y for x, y in zip(x_values, y_values)],
-        }
-    )
-
-    pd.testing.assert_frame_equal(df, expected_df)
-
-  def test_with_args_and_kwargs(self):
-    """Test from_map_batched with additional args and kwargs."""
-
-    def multiply_and_add(x, multiplier, offset=0):
-      result = pd.DataFrame({'x': [x], 'result': [x * multiplier + offset]})
-      return result
-
-    values = [1, 2, 3]
-    expected_schema = pa.schema([('x', pa.int64()), ('result', pa.int64())])
-
-    reader = from_map_batched(
-        multiply_and_add,
-        values,
-        args=(2,),  # multiplier = 2
-        offset=5,  # offset = 5
-        schema=expected_schema,
-    )
-
-    table = reader.read_all()
-    df = table.to_pandas()
-
-    # Verify results: x * 2 + 5
-    expected_df = pd.DataFrame(
-        {'x': [1, 2, 3], 'result': [7, 9, 11]}  # (1*2+5, 2*2+5, 3*2+5)
-    )
-
-    pd.testing.assert_frame_equal(df, expected_df)
-
-  def test_empty_iterables(self):
-    """Test from_map_batched with empty iterables."""
-    empty_schema = pa.schema([('value', pa.int64())])
-
-    reader = from_map_batched(
-        lambda x: pd.DataFrame({'value': [x]}), [], schema=empty_schema
-    )
-
-    batches = list(reader)
-    self.assertEqual(len(batches), 0)
-
-  def test_consistency_with_regular_map(self):
-    """Test that results are consistent with regular mapping."""
-    blocks = list(block_slices(self.air_small, chunks={'time': 4, 'lat': 3}))
-    datasets = [self.air_small.isel(block) for block in blocks]
-
-    # Get schema from first block
-    first_df = pivot(datasets[0])
-    schema = pa.Schema.from_pandas(first_df)
-
-    # Use from_map_batched
-    reader = from_map_batched(pivot, datasets, schema=schema)
-    batched_table = reader.read_all()
-
-    # Regular map approach
-    regular_dfs = [pivot(ds) for ds in datasets]
-    regular_table = pa.Table.from_pandas(
-        pd.concat(regular_dfs, ignore_index=True)
-    )
-
-    # Results should be identical
-    self.assertEqual(batched_table.schema, regular_table.schema)
-    self.assertEqual(len(batched_table), len(regular_table))
-
-    # Compare data (allowing for potential column order differences)
-    batched_df = (
-        batched_table.to_pandas()
-        .sort_values(['time', 'lat', 'lon'])
-        .reset_index(drop=True)
-    )
-    regular_df = (
-        regular_table.to_pandas()
-        .sort_values(['time', 'lat', 'lon'])
-        .reset_index(drop=True)
-    )
-
-    pd.testing.assert_frame_equal(batched_df, regular_df)
-
-  def test_integration_with_datafusion_via_read_xarray(self):
-    """Test integration with the read_xarray function that uses from_map_batched."""
-
-    # Use a small dataset
-    air = xr.tutorial.open_dataset('air_temperature')
-    air_small = air.isel(time=slice(0, 50), lat=slice(0, 10), lon=slice(0, 15))
-    air_chunked = air_small.chunk({'time': 25, 'lat': 5, 'lon': 8})
-
-    # read_xarray uses from_map_batched internally
-    arrow_stream = read_xarray(
-        air_chunked, chunks={'time': 25, 'lat': 5, 'lon': 8}
-    )
-
-    # Verify it returns a proper ArrowStreamExportable (RecordBatchReader)
-    self.assertTrue(hasattr(arrow_stream, 'schema'))
-    self.assertTrue(hasattr(arrow_stream, '__iter__'))
-
-    # Should be able to read all data
-    table = arrow_stream.read_all()
-    self.assertGreater(len(table), 0)
-
-    # Should have the expected columns
-    expected_columns = {'time', 'lat', 'lon', 'air'}
-    actual_columns = set(table.column_names)
-    self.assertTrue(expected_columns.issubset(actual_columns))
-
-
-class ReadXarrayStreamingTest(unittest.TestCase):
-
-  def setUp(self):
-    self.large_ds = create_large_dataset().chunk({'time': 25})
-
-  def test_read_xarray__loads_one_chunk_at_a_time(self):
-    tracemalloc.start()
-    iterable = read_xarray(self.large_ds)
-    first_size, first_peak = tracemalloc.get_traced_memory()
-    tracemalloc.reset_peak()
+def test_from_map_with_pyarrow_tables():
+  def make_arrow_table(x):
+    df = pd.DataFrame({"value": [x]})
+    return pa.Table.from_pandas(df)
+
+  result = from_map(make_arrow_table, [1, 2, 3])
+  assert isinstance(result, pa.Table)
+  assert len(result) == 3
+
+
+def test_from_map_batched_basic_functionality(air_small):
+  blocks = list(block_slices(air_small, chunks={"time": 4, "lat": 3, "lon": 4}))
+
+  first_block_df = pivot(air_small.isel(blocks[0]))
+  expected_schema = pa.Schema.from_pandas(first_block_df)
+
+  reader = from_map_batched(
+      pivot, [air_small.isel(block) for block in blocks], schema=expected_schema
+  )
+
+  assert isinstance(reader, pa.RecordBatchReader)
+  assert reader.schema == expected_schema
+
+  batches = list(reader)
+  assert len(batches) > 0
+  for batch in batches:
+    assert batch.schema == expected_schema
+    assert len(batch) > 0
+
+
+def test_from_map_batched_multiple_iterables():
+  x_values = [1, 2, 3, 4, 5]
+  y_values = [10, 20, 30, 40, 50]
+
+  expected_schema = pa.schema(
+      [("x", pa.int64()), ("y", pa.int64()), ("sum", pa.int64())]
+  )
+
+  reader = from_map_batched(
+      adding_function, x_values, y_values, schema=expected_schema
+  )
+  table = reader.read_all()
+  df = table.to_pandas()
+
+  expected_df = pd.DataFrame(
+      {
+          "x": x_values,
+          "y": y_values,
+          "sum": [x + y for x, y in zip(x_values, y_values)],
+      }
+  )
+  pd.testing.assert_frame_equal(df, expected_df)
 
-    sizes, peaks = [], []
 
-    first_chunk = self.large_ds.isel(next(block_slices(self.large_ds)))
-    chunk_size = first_chunk.nbytes
+def test_from_map_batched_with_args_and_kwargs():
+  def multiply_and_add(x, multiplier, offset=0):
+    return pd.DataFrame({"x": [x], "result": [x * multiplier + offset]})
 
-    # Creating the iterator should be inexpensive -- less than one chunk.
-    # We multiply by constant factors because chunks have additional overhead
-    self.assertLess(first_size, chunk_size * 3)
-    self.assertLess(first_peak, chunk_size * 6)
+  values = [1, 2, 3]
+  expected_schema = pa.schema([("x", pa.int64()), ("result", pa.int64())])
 
-    for it in iterable:
-      _ = it
-      cur_size, cur_peak = tracemalloc.get_traced_memory()
-      tracemalloc.reset_peak()
-      sizes.append(cur_size), peaks.append(cur_peak)
+  reader = from_map_batched(
+      multiply_and_add, values, args=(2,), offset=5, schema=expected_schema
+  )
+  table = reader.read_all()
+  df = table.to_pandas()
+
+  expected_df = pd.DataFrame({"x": [1, 2, 3], "result": [7, 9, 11]})
+  pd.testing.assert_frame_equal(df, expected_df)
 
-    mean_size = np.mean(sizes)
-    mean_peak = np.mean(peaks)
 
-    # Provide a bound for each size and peak
-    for size in sizes:
-      self.assertGreater(mean_size * 1.1, size)
-      self.assertGreater(chunk_size * 3, size)
-      # malloc size is about 2.66x chunk_size on average
-      self.assertLess(chunk_size * 2, size)
+def test_from_map_batched_empty_iterables():
+  empty_schema = pa.schema([("value", pa.int64())])
+
+  reader = from_map_batched(
+      lambda x: pd.DataFrame({"value": [x]}), [], schema=empty_schema
+  )
+  batches = list(reader)
+  assert len(batches) == 0
 
-    for peak in peaks:
-      self.assertGreater(mean_peak * 1.1, peak)
-      self.assertGreater(chunk_size * 7, peak)
-      # malloc peak is about 6.89x chunk_size on average
-      self.assertLess(chunk_size * 4, peak)
 
-    # The peak malloc should never be more than the original dataset!
-    self.assertLess(max(peaks), self.large_ds.nbytes)
+def test_from_map_batched_consistency_with_regular_map(air_small):
+  blocks = list(block_slices(air_small, chunks={"time": 4, "lat": 3}))
+  datasets = [air_small.isel(block) for block in blocks]
 
-    tracemalloc.stop()
+  first_df = pivot(datasets[0])
+  schema = pa.Schema.from_pandas(first_df)
+
+  reader = from_map_batched(pivot, datasets, schema=schema)
+  batched_table = reader.read_all()
+
+  regular_dfs = [pivot(ds) for ds in datasets]
+  regular_table = pa.Table.from_pandas(
+      pd.concat(regular_dfs, ignore_index=True)
+  )
 
+  assert batched_table.schema == regular_table.schema
+  assert len(batched_table) == len(regular_table)
+
+  batched_df = (
+      batched_table.to_pandas()
+      .sort_values(["time", "lat", "lon"])
+      .reset_index(drop=True)
+  )
+  regular_df = (
+      regular_table.to_pandas()
+      .sort_values(["time", "lat", "lon"])
+      .reset_index(drop=True)
+  )
+
+  pd.testing.assert_frame_equal(batched_df, regular_df)
+
+
+def test_from_map_batched_integration_with_datafusion_via_read_xarray():
+  air = xr.tutorial.open_dataset("air_temperature")
+  air_small = air.isel(time=slice(0, 50), lat=slice(0, 10), lon=slice(0, 15))
+  air_chunked = air_small.chunk({"time": 25, "lat": 5, "lon": 8})
+
+  arrow_stream = read_xarray(
+      air_chunked, chunks={"time": 25, "lat": 5, "lon": 8}
+  )
+
+  assert hasattr(arrow_stream, "schema")
+  assert hasattr(arrow_stream, "__iter__")
+
+  table = arrow_stream.read_all()
+  assert len(table) > 0
+
+  expected_columns = {"time", "lat", "lon", "air"}
+  actual_columns = set(table.column_names)
+  assert expected_columns.issubset(actual_columns)
+
+
+def test_read_xarray_loads_one_chunk_at_a_time(large_ds):
+  tracemalloc.start()
+  iterable = read_xarray(large_ds)
+  first_size, first_peak = tracemalloc.get_traced_memory()
+  tracemalloc.reset_peak()
+
+  sizes, peaks = [], []
+
+  first_chunk = large_ds.isel(next(block_slices(large_ds)))
+  chunk_size = first_chunk.nbytes
+
+  # Creating the iterator should be inexpensive -- less than one chunk.
+  # We multiply by constant factors because chunks have additional overhead
+  assert first_size < chunk_size * 3
+  assert first_peak < chunk_size * 6
+
+  for it in iterable:
+    _ = it
+    cur_size, cur_peak = tracemalloc.get_traced_memory()
+    tracemalloc.reset_peak()
+    sizes.append(cur_size)
+    peaks.append(cur_peak)
+
+  mean_size = np.mean(sizes)
+  mean_peak = np.mean(peaks)
+
+  for size in sizes:
+    assert mean_size * 1.1 > size
+    assert chunk_size * 3 > size
+    assert chunk_size * 2 < size
+
+  for peak in peaks:
+    assert mean_peak * 1.1 > peak
+    assert chunk_size * 7 > peak
+    assert chunk_size * 4 < peak
+
+  assert max(peaks) < large_ds.nbytes
+
+  tracemalloc.stop()
+
+
+@pytest.mark.integration
+@pytest.mark.gcs
+def test_open_era5():
+  """Test opening ERA5 dataset from Google Cloud Storage."""
+  era5_ds = xr.open_zarr(
+      "gs://gcp-public-data-arco-era5/ar/1959-2022-full_37-1h-0p25deg-chunk-1.zarr-v2",
+      chunks={"time": 240, "level": 1},
+  )
+  era5_wind_df = read_xarray(
+      era5_ds[["u_component_of_wind", "v_component_of_wind"]]
+  )
 
-if __name__ == '__main__':
-  unittest.main()
+  expected_columns = [
+      "time",
+      "level",
+      "latitude",
+      "longitude",
+      "u_component_of_wind",
+      "v_component_of_wind",
+  ]
+  assert list(era5_wind_df.columns) == expected_columns
diff --git a/xarray_sql/sql_test.py b/xarray_sql/sql_test.py
index b9667d24..9374cb64 100644
--- a/xarray_sql/sql_test.py
+++ b/xarray_sql/sql_test.py
@@ -1,813 +1,196 @@
-import unittest
+"""SQL functionality tests for xarray-sql using pytest."""
+
 import numpy as np
 import pandas as pd
+import pytest
 import xarray as xr
 
 from . import XarrayContext
-from .df_test import DaskTestCase, create_large_dataset, rand_wx
-
-
-class SqlTestCase(DaskTestCase):
-
-  def test_sanity(self):
-    c = XarrayContext()
-    c.from_dataset('air', self.air_small)
-
-    query = c.sql('SELECT "lat", "lon", "time", "air" FROM "air" LIMIT 100')
-
-    result = query.to_pandas()
-    self.assertIsNotNone(result)
-    self.assertLessEqual(len(result), 1320)  # Should be all rows or less
-    self.assertGreater(len(result), 0)  # Should have some rows
-
-  def test_agg_small(self):
-    c = XarrayContext()
-    c.from_dataset('air', self.air_small)
-
-    query = c.sql(
-        """
-  SELECT
-    "lat", "lon", SUM("air") as air_total
-  FROM 
-    "air" 
-  GROUP BY
-   "lat", "lon"
-  """
-    )
-
-    result = query.to_pandas()
-    self.assertIsNotNone(result)
-
-    expected = self.air_small.sizes['lat'] * self.air_small.sizes['lon']
-    self.assertEqual(len(result), expected)
-
-  def test_agg_regular(self):
-    c = XarrayContext()
-    c.from_dataset('air', self.air)
-
-    query = c.sql(
-        """
-    SELECT
-      "lat", "lon", AVG("air") as air_total
-    FROM 
-      "air" 
-    GROUP BY
-     "lat", "lon"
-    """
-    )
-
-    result = query.to_pandas()
-    self.assertIsNotNone(result)
-
-    expected = self.air.sizes['lat'] * self.air.sizes['lon']
-    self.assertEqual(len(result), expected)
-
-
-class SqlVarietyTestCase(unittest.TestCase):
-  """Test SQL functionality with various types of Xarray datasets."""
-
-  def setUp(self):
-    """Set up test datasets for SQL testing."""
-    # Create air temperature dataset
-    self.air = xr.tutorial.open_dataset('air_temperature')
-    self.air_small = self.air.isel(
-        time=slice(0, 24), lat=slice(0, 10), lon=slice(0, 15)
-    ).chunk({'time': 12})
-
-    # Create weather dataset with multiple variables
-    self.weather = rand_wx('2023-01-01T00', '2023-01-01T12')
-    self.weather_small = self.weather.isel(
-        time=slice(0, 6), lat=slice(0, 10), lon=slice(0, 10)
-    ).chunk({'time': 3})
-
-    # Create synthetic dataset with different data types
-    self.synthetic = create_large_dataset(
-        time_steps=50, lat_points=20, lon_points=20
-    ).chunk({'time': 25})
-
-    # Create 1D dataset for testing joins
-    self.stations = xr.Dataset(
-        {
-            'station_id': (['station'], [1, 2, 3, 4, 5]),
-            'elevation': (['station'], [100, 250, 500, 750, 1000]),
-            'name': (
-                ['station'],
-                [
-                    'Station_A',
-                    'Station_B',
-                    'Station_C',
-                    'Station_D',
-                    'Station_E',
-                ],
-            ),
-        }
-    ).chunk({'station': 5})
-
-  def test_basic_select_all(self):
-    """Test basic SELECT * queries on different datasets."""
-    ctx = XarrayContext()
-
-    # Test with air temperature dataset
-    ctx.from_dataset('air', self.air_small)
-    result = ctx.sql('SELECT * FROM air LIMIT 10').to_pandas()
-
-    self.assertGreater(len(result), 0)
-    self.assertLessEqual(len(result), 10)
-    self.assertIn('air', result.columns)
-    self.assertIn('lat', result.columns)
-    self.assertIn('lon', result.columns)
-    self.assertIn('time', result.columns)
-
-  def test_weather_dataset_queries(self):
-    """Test queries on weather dataset with multiple variables."""
-    ctx = XarrayContext()
-    ctx.from_dataset('weather', self.weather_small)
-
-    # Test selecting specific columns
-    result = ctx.sql(
-        'SELECT lat, lon, temperature, precipitation FROM weather LIMIT 20'
-    ).to_pandas()
-
-    self.assertGreater(len(result), 0)
-    self.assertIn('temperature', result.columns)
-    self.assertIn('precipitation', result.columns)
-
-    # Test filtering
-    result = ctx.sql(
-        'SELECT * FROM weather WHERE temperature > 10 LIMIT 50'
-    ).to_pandas()
-
-    self.assertGreater(len(result), 0)
-    # All temperatures should be > 10
-    self.assertTrue((result['temperature'] > 10).all())
-
-  def test_synthetic_dataset_aggregations(self):
-    """Test aggregation queries on synthetic dataset."""
-    ctx = XarrayContext()
-    ctx.from_dataset('synthetic', self.synthetic)
-
-    # Test COUNT
-    result = ctx.sql(
-        'SELECT COUNT(*) as total_count FROM synthetic'
-    ).to_pandas()
-    self.assertEqual(len(result), 1)
-    self.assertGreater(result['total_count'].iloc[0], 0)
-
-    # Test MIN, MAX, AVG
-    result = ctx.sql(
-        """
-      SELECT 
-        MIN(temperature) as min_temp,
-        MAX(temperature) as max_temp,
-        AVG(temperature) as avg_temp
-      FROM synthetic
-    """
-    ).to_pandas()
-
-    self.assertEqual(len(result), 1)
-    self.assertLess(result['min_temp'].iloc[0], result['max_temp'].iloc[0])
-    self.assertGreaterEqual(
-        result['avg_temp'].iloc[0], result['min_temp'].iloc[0]
-    )
-    self.assertLessEqual(result['avg_temp'].iloc[0], result['max_temp'].iloc[0])
-
-  def test_spatial_grouping(self):
-    """Test spatial grouping queries."""
-    ctx = XarrayContext()
-    ctx.from_dataset('air', self.air_small)
-
-    # Group by spatial coordinates
-    result = ctx.sql(
-        """
-      SELECT 
-        lat, lon,
-        AVG(air) as avg_air,
-        COUNT(*) as time_count
-      FROM air 
-      GROUP BY lat, lon
-      ORDER BY lat, lon
-    """
-    ).to_pandas()
-
-    expected_spatial_points = (
-        self.air_small.sizes['lat'] * self.air_small.sizes['lon']
-    )
-    self.assertEqual(len(result), expected_spatial_points)
-
-    # Each spatial point should have same number of time steps
-    self.assertTrue(
-        (result['time_count'] == self.air_small.sizes['time']).all()
-    )
-
-  def test_temporal_filtering(self):
-    """Test temporal filtering and grouping."""
-    ctx = XarrayContext()
-    ctx.from_dataset('weather', self.weather_small)
-
-    # Get unique time values for filtering
-    all_data = ctx.sql(
-        'SELECT DISTINCT time FROM weather ORDER BY time'
-    ).to_pandas()
-    if len(all_data) > 2:
-      mid_time = all_data['time'].iloc[len(all_data) // 2]
-
-      # Filter by time
-      result = ctx.sql(
-          f"""
-        SELECT COUNT(*) as count_after
-        FROM weather 
-        WHERE time >= '{mid_time}'
-      """
-      ).to_pandas()
-
-      self.assertGreater(result['count_after'].iloc[0], 0)
-
-  def test_station_dataset_queries(self):
-    """Test queries on 1D station dataset."""
-    ctx = XarrayContext()
-    ctx.from_dataset('stations', self.stations)
-
-    # Basic select
-    result = ctx.sql('SELECT * FROM stations ORDER BY elevation').to_pandas()
-    self.assertEqual(len(result), 5)
-
-    # Test filtering by elevation
-    result = ctx.sql(
-        'SELECT name, elevation FROM stations WHERE elevation > 300 ORDER BY elevation'
-    ).to_pandas()
-
-    self.assertGreater(len(result), 0)
-    self.assertTrue((result['elevation'] > 300).all())
-
-
-class SqlJoinTestCase(unittest.TestCase):
-  """Test joining tabular data with raster data using from_dataset."""
-
-  def setUp(self):
-    """Set up datasets for join testing."""
-    # Create a small air temperature dataset
-    self.air = xr.tutorial.open_dataset('air_temperature')
-    self.air_small = self.air.isel(
-        time=slice(0, 12), lat=slice(0, 5), lon=slice(0, 8)
-    ).chunk({'time': 6})
-
-    # Create station metadata as a simple tabular dataset
-    # Use coordinates that overlap with air dataset
-    air_lats = self.air_small.lat.values
-    air_lons = self.air_small.lon.values
-
-    # Create stations at specific lat/lon points
-    self.stations = xr.Dataset(
-        {
-            'station_id': (['station'], [101, 102, 103]),
-            'lat': (['station'], [air_lats[0], air_lats[2], air_lats[4]]),
-            'lon': (['station'], [air_lons[1], air_lons[3], air_lons[5]]),
-            'elevation': (['station'], [100, 250, 500]),
-            'name': (['station'], ['Downtown', 'Airport', 'Mountain']),
-        }
-    ).chunk({'station': 3})
-
-    # Create region lookup table
-    self.regions = xr.Dataset(
-        {
-            'region_id': (['region'], [1, 2, 3, 4]),
-            'region_name': (['region'], ['North', 'South', 'East', 'West']),
-            'min_lat': (['region'], [60, 30, 40, 40]),
-            'max_lat': (['region'], [90, 60, 80, 80]),
-            'min_lon': (['region'], [-180, -180, -90, -180]),
-            'max_lon': (['region'], [180, 180, 180, -90]),
-        }
-    ).chunk({'region': 4})
-
-  def test_simple_cross_join(self):
-    """Test cross join between raster and tabular data."""
-    ctx = XarrayContext()
-    ctx.from_dataset('air_data', self.air_small)
-    ctx.from_dataset('stations', self.stations)
-
-    # Test separate queries first to ensure both datasets work
-    air_result = ctx.sql(
-        'SELECT COUNT(*) as air_count FROM air_data'
-    ).to_pandas()
-    station_result = ctx.sql(
-        'SELECT COUNT(*) as station_count FROM stations'
-    ).to_pandas()
-
-    self.assertGreater(air_result['air_count'].iloc[0], 0)
-    self.assertGreater(station_result['station_count'].iloc[0], 0)
-
-    # Test that we can query both datasets in the same context
-    # This demonstrates multi-dataset capability without complex joins
-    air_sample = ctx.sql('SELECT air FROM air_data LIMIT 5').to_pandas()
-    station_sample = ctx.sql(
-        'SELECT station_id FROM stations LIMIT 5'
-    ).to_pandas()
-
-    self.assertGreater(len(air_sample), 0)
-    self.assertGreater(len(station_sample), 0)
-    self.assertIn('air', air_sample.columns)
-    self.assertIn('station_id', station_sample.columns)
-
-  def test_coordinate_based_join(self):
-    """Test joining on coordinate proximity."""
-    ctx = XarrayContext()
-    ctx.from_dataset('air_data', self.air_small)
-    ctx.from_dataset('stations', self.stations)
-
-    # First test a simple cross join to ensure datasets are compatible
-    result = ctx.sql(
-        """
-      SELECT COUNT(*) as total_combinations
-      FROM air_data a
-      CROSS JOIN stations s
-    """
-    ).to_pandas()
-
-    self.assertGreater(result['total_combinations'].iloc[0], 0)
-
-    # Test a simpler join condition
-    result = ctx.sql(
-        """
-      SELECT 
-        COUNT(*) as match_count
-      FROM air_data a, stations s
-      WHERE s.station_id = 101
-    """
-    ).to_pandas()
-
-    self.assertGreater(result['match_count'].iloc[0], 0)
-
-  def test_region_classification_join(self):
-    """Test joining with region classification."""
-    ctx = XarrayContext()
-    ctx.from_dataset('air_data', self.air_small)
-    ctx.from_dataset('regions', self.regions)
-
-    # Test that both datasets can be queried independently
-    air_result = ctx.sql(
-        'SELECT COUNT(*) as air_count FROM air_data'
-    ).to_pandas()
-    region_result = ctx.sql(
-        'SELECT COUNT(*) as region_count FROM regions'
-    ).to_pandas()
-
-    self.assertGreater(air_result['air_count'].iloc[0], 0)
-    self.assertGreater(region_result['region_count'].iloc[0], 0)
-
-    # Test a simpler region-based query without complex joins
-    result = ctx.sql(
-        """
-      SELECT 
-        region_name,
-        min_lat,
-        max_lat
-      FROM regions
-      WHERE min_lat < 50
-    """
-    ).to_pandas()
-
-    self.assertGreater(len(result), 0)
-    self.assertIn('region_name', result.columns)
-
-  def test_multiple_dataset_aggregation(self):
-    """Test aggregating across multiple datasets."""
-    ctx = XarrayContext()
-    ctx.from_dataset('air_data', self.air_small)
-    ctx.from_dataset('stations', self.stations)
-
-    # Get statistics by elevation bands using station data
-    result = ctx.sql(
-        """
-      SELECT 
-        CASE 
-          WHEN s.elevation < 200 THEN 'Low'
-          WHEN s.elevation < 400 THEN 'Medium'
-          ELSE 'High'
-        END as elevation_band,
-        COUNT(DISTINCT s.station_id) as station_count,
-        COUNT(*) as air_measurements,
-        AVG(a.air) as avg_air
-      FROM air_data a
-      CROSS JOIN stations s
-      GROUP BY elevation_band
-      ORDER BY elevation_band
-    """
-    ).to_pandas()
-
-    self.assertGreater(len(result), 0)
-    self.assertIn('elevation_band', result.columns)
-    # Should have Low, Medium, High bands
-    self.assertGreaterEqual(len(result), 1)
-
-
-class SqlOptimizationTestCase(unittest.TestCase):
-  """Test DataFusion optimizations like column selection and filters."""
-
-  def setUp(self):
-    """Set up dataset for optimization testing."""
-    self.air = xr.tutorial.open_dataset('air_temperature')
-    self.air_medium = self.air.isel(
-        time=slice(0, 100), lat=slice(0, 20), lon=slice(0, 30)
-    ).chunk({'time': 50})
-
-    # Create multi-variable dataset
-    self.weather = rand_wx('2023-01-01T00', '2023-01-02T00')
-    self.weather_medium = self.weather.isel(
-        time=slice(0, 12), lat=slice(0, 15), lon=slice(0, 20)
-    ).chunk({'time': 6})
-
-  def test_column_projection(self):
-    """Test that selecting specific columns works efficiently."""
-    ctx = XarrayContext()
-    ctx.from_dataset('weather', self.weather_medium)
-
-    # Select only specific columns
-    result = ctx.sql(
-        'SELECT lat, lon, temperature FROM weather LIMIT 100'
-    ).to_pandas()
-
-    # Should only have the requested columns
-    expected_columns = {'lat', 'lon', 'temperature'}
-    actual_columns = set(result.columns)
-    self.assertEqual(expected_columns, actual_columns)
-
-    # Should not include precipitation, time, level, reference_time
-    unwanted_columns = {'precipitation', 'time', 'level', 'reference_time'}
-    self.assertTrue(unwanted_columns.isdisjoint(actual_columns))
-
-  def test_where_clause_filtering(self):
-    """Test WHERE clause filtering optimization."""
-    ctx = XarrayContext()
-    ctx.from_dataset('air', self.air_medium)
-
-    # Test numeric filtering
-    result = ctx.sql(
-        'SELECT * FROM air WHERE air > 280 AND air < 290'
-    ).to_pandas()
-
-    if len(result) > 0:
-      self.assertTrue((result['air'] > 280).all())
-      self.assertTrue((result['air'] < 290).all())
-
-    # Test coordinate filtering
-    result = ctx.sql(
-        'SELECT * FROM air WHERE lat > 50 AND lon < -100'
-    ).to_pandas()
-
-    if len(result) > 0:
-      self.assertTrue((result['lat'] > 50).all())
-      self.assertTrue((result['lon'] < -100).all())
-
-  def test_limit_optimization(self):
-    """Test LIMIT clause optimization."""
-    ctx = XarrayContext()
-    ctx.from_dataset('air', self.air_medium)
-
-    # Test small limits
-    for limit in [1, 5, 10, 50]:
-      result = ctx.sql(f'SELECT * FROM air LIMIT {limit}').to_pandas()
-      self.assertLessEqual(len(result), limit)
-      if (
-          limit
-          <= self.air_medium.sizes['time']
-          * self.air_medium.sizes['lat']
-          * self.air_medium.sizes['lon']
-      ):
-        self.assertEqual(len(result), limit)
-
-  def test_order_by_optimization(self):
-    """Test ORDER BY clause."""
-    ctx = XarrayContext()
-    ctx.from_dataset('air', self.air_medium)
-
-    # Test ordering by different columns
-    result = ctx.sql(
-        'SELECT lat, lon, air FROM air ORDER BY air DESC LIMIT 20'
-    ).to_pandas()
-
-    if len(result) > 1:
-      # Should be in descending order
-      air_values = result['air'].values
-      self.assertTrue(np.all(air_values[:-1] >= air_values[1:]))
-
-    # Test ordering by coordinates
-    result = ctx.sql(
-        'SELECT lat, lon, air FROM air ORDER BY lat ASC, lon DESC LIMIT 20'
-    ).to_pandas()
-
-    if len(result) > 1:
-      # Check lat is ascending
-      lat_values = result['lat'].values
-      lat_diffs = np.diff(lat_values)
-      # Allow for equal values (same lat, different lon)
-      self.assertTrue(np.all(lat_diffs >= 0))
-
-  def test_aggregation_pushdown(self):
-    """Test aggregation optimization."""
-    ctx = XarrayContext()
-    ctx.from_dataset('weather', self.weather_medium)
-
-    # Test GROUP BY optimization
-    result = ctx.sql(
-        """
-      SELECT 
-        lat,
-        COUNT(*) as point_count,
-        AVG(temperature) as avg_temp,
-        MIN(precipitation) as min_precip,
-        MAX(precipitation) as max_precip
-      FROM weather
-      GROUP BY lat
-      ORDER BY lat
-    """
-    ).to_pandas()
-
-    # Should have one row per unique latitude
-    expected_lats = len(self.weather_medium.lat)
-    self.assertEqual(len(result), expected_lats)
-
-    # All aggregation columns should be present
-    expected_agg_cols = {'point_count', 'avg_temp', 'min_precip', 'max_precip'}
-    self.assertTrue(expected_agg_cols.issubset(set(result.columns)))
-
-  def test_complex_filter_optimization(self):
-    """Test complex filtering with multiple conditions."""
-    ctx = XarrayContext()
-    ctx.from_dataset('weather', self.weather_medium)
-
-    # Complex WHERE clause with AND/OR
-    result = ctx.sql(
-        """
-      SELECT lat, lon, temperature, precipitation
-      FROM weather
-      WHERE (temperature > 15 AND precipitation < 50) 
-         OR (lat > 45 AND lon < -100)
-      LIMIT 100
-    """
-    ).to_pandas()
-
-    # Verify the complex condition
-    if len(result) > 0:
-      condition1 = (result['temperature'] > 15) & (result['precipitation'] < 50)
-      condition2 = (result['lat'] > 45) & (result['lon'] < -100)
-      combined = condition1 | condition2
-      self.assertTrue(combined.all())
-
-
-class SqlComplexQueryTestCase(unittest.TestCase):
-  """Test complex SQL queries with advanced features."""
-
-  def setUp(self):
-    """Set up datasets for complex query testing."""
-    self.air = xr.tutorial.open_dataset('air_temperature')
-    self.air_small = self.air.isel(
-        time=slice(0, 50), lat=slice(0, 15), lon=slice(0, 20)
-    ).chunk({'time': 25})
-
-    self.weather = rand_wx('2023-01-01T00', '2023-01-01T12')
-    self.weather_small = self.weather.isel(
-        time=slice(0, 8), lat=slice(0, 10), lon=slice(0, 12)
-    ).chunk({'time': 4})
-
-  def test_subqueries(self):
-    """Test subqueries and CTEs."""
-    ctx = XarrayContext()
-    ctx.from_dataset('air', self.air_small)
-
-    # Subquery to find above-average temperatures
-    result = ctx.sql(
-        """
-      SELECT lat, lon, air
-      FROM air
-      WHERE air > (
-        SELECT AVG(air) FROM air
-      )
-      LIMIT 50
-    """
-    ).to_pandas()
-
-    if len(result) > 0:
-      # Get the average to verify
-      avg_result = ctx.sql('SELECT AVG(air) as avg_air FROM air').to_pandas()
-      avg_air = avg_result['avg_air'].iloc[0]
-
-      # All results should be above average
-      self.assertTrue((result['air'] > avg_air).all())
-
-  def test_window_functions(self):
-    """Test window functions if supported by DataFusion."""
-    ctx = XarrayContext()
-    ctx.from_dataset('air', self.air_small)
-
-    try:
-      # Test ROW_NUMBER window function
-      result = ctx.sql(
-          """
-        SELECT 
-          lat, lon, air,
-          ROW_NUMBER() OVER (PARTITION BY lat ORDER BY air DESC) as rank_in_lat
+from .df_test import create_large_dataset, rand_wx
+
+
+@pytest.fixture
+def air_dataset_small():
+  ds = xr.tutorial.open_dataset("air_temperature").chunk({"time": 240})
+  return ds.isel(time=slice(0, 12), lat=slice(0, 11), lon=slice(0, 10))
+
+
+@pytest.fixture
+def air_dataset_large():
+  return xr.tutorial.open_dataset("air_temperature").chunk({"time": 240})
+
+
+@pytest.fixture
+def weather_dataset():
+  ds = rand_wx("2023-01-01T00", "2023-01-01T12")
+  return ds.isel(time=slice(0, 6), lat=slice(0, 10), lon=slice(0, 10)).chunk(
+      {"time": 3}
+  )
+
+
+@pytest.fixture
+def synthetic_dataset():
+  return create_large_dataset(
+      time_steps=50, lat_points=20, lon_points=20
+  ).chunk({"time": 25})
+
+
+@pytest.fixture
+def station_dataset():
+  return xr.Dataset(
+      {
+          "station_id": (["station"], [1, 2, 3, 4, 5]),
+          "elevation": (["station"], [100, 250, 500, 750, 1000]),
+          "name": (
+              ["station"],
+              ["Station_A", "Station_B", "Station_C", "Station_D", "Station_E"],
+          ),
+      }
+  ).chunk({"station": 5})
+
+
+@pytest.fixture
+def air_and_stations():
+  air = (
+      xr.tutorial.open_dataset("air_temperature")
+      .isel(time=slice(0, 12), lat=slice(0, 5), lon=slice(0, 8))
+      .chunk({"time": 6})
+  )
+  stations = xr.Dataset(
+      {
+          "station_id": (["station"], [101, 102, 103]),
+          "lat": (
+              ["station"],
+              [air.lat.values[0], air.lat.values[2], air.lat.values[4]],
+          ),
+          "lon": (
+              ["station"],
+              [air.lon.values[1], air.lon.values[3], air.lon.values[5]],
+          ),
+          "elevation": (["station"], [100, 250, 500]),
+      }
+  ).chunk({"station": 3})
+  return air, stations
+
+
+def test_sanity(air_dataset_small):
+  ctx = XarrayContext()
+  ctx.from_dataset("air", air_dataset_small)
+  result = ctx.sql(
+      'SELECT "lat", "lon", "time", "air" FROM "air" LIMIT 100'
+  ).to_pandas()
+  assert len(result) > 0
+  assert len(result) <= 1320
+  assert all(col in result.columns for col in ["lat", "lon", "time", "air"])
+
+
+def test_aggregation_small(air_dataset_small):
+  ctx = XarrayContext()
+  ctx.from_dataset("air", air_dataset_small)
+  query = """
+        SELECT lat, lon, SUM(air) AS air_total
         FROM air
-        WHERE lat IN (
-          SELECT DISTINCT lat FROM air LIMIT 3
-        )
-        ORDER BY lat, rank_in_lat
-        LIMIT 30
-      """
-      ).to_pandas()
-
-      if len(result) > 0:
-        # Check that ranking works within each lat
-        for lat_val in result['lat'].unique():
-          lat_data = result[result['lat'] == lat_val].sort_values('rank_in_lat')
-          if len(lat_data) > 1:
-            # Air values should be in descending order within each lat
-            air_values = lat_data['air'].values
-            self.assertTrue(np.all(air_values[:-1] >= air_values[1:]))
-
-    except Exception:
-      # Window functions might not be supported, skip test
-      self.skipTest('Window functions not supported')
-
-  def test_case_statements(self):
-    """Test CASE statements for conditional logic."""
-    ctx = XarrayContext()
-    ctx.from_dataset('weather', self.weather_small)
-
-    result = ctx.sql(
-        """
-      SELECT 
-        lat, lon,
-        temperature,
-        CASE 
-          WHEN temperature < 0 THEN 'Freezing'
-          WHEN temperature < 10 THEN 'Cold'
-          WHEN temperature < 20 THEN 'Cool'
-          WHEN temperature < 30 THEN 'Warm'
-          ELSE 'Hot'
-        END as temp_category,
-        precipitation,
-        CASE
-          WHEN precipitation < 5 THEN 'Dry'
-          WHEN precipitation < 20 THEN 'Light'
-          WHEN precipitation < 50 THEN 'Moderate'
-          ELSE 'Heavy'
-        END as precip_category
-      FROM weather
-      LIMIT 50
+        GROUP BY lat, lon
     """
-    ).to_pandas()
-
-    self.assertGreater(len(result), 0)
-    self.assertIn('temp_category', result.columns)
-    self.assertIn('precip_category', result.columns)
-
-    # Verify categories are assigned correctly
-    for _, row in result.iterrows():
-      temp = row['temperature']
-      temp_cat = row['temp_category']
-
-      if temp < 0:
-        self.assertEqual(temp_cat, 'Freezing')
-      elif temp < 10:
-        self.assertEqual(temp_cat, 'Cold')
-      elif temp < 20:
-        self.assertEqual(temp_cat, 'Cool')
-      elif temp < 30:
-        self.assertEqual(temp_cat, 'Warm')
-      else:
-        self.assertEqual(temp_cat, 'Hot')
-
-  def test_mathematical_functions(self):
-    """Test mathematical functions in SQL."""
-    ctx = XarrayContext()
-    ctx.from_dataset('weather', self.weather_small)
-
-    result = ctx.sql(
-        """
-      SELECT 
-        lat, lon,
-        temperature,
-        ROUND(temperature, 1) as temp_rounded,
-        ABS(temperature - 20) as temp_diff_from_20,
-        SQRT(ABS(temperature)) as temp_sqrt,
-        precipitation,
-        LOG(precipitation + 1) as log_precip
-      FROM weather
-      WHERE precipitation > 0
-      LIMIT 30
+  result = ctx.sql(query).to_pandas()
+  expected_rows = (
+      air_dataset_small.sizes["lat"] * air_dataset_small.sizes["lon"]
+  )
+  assert len(result) == expected_rows
+
+
+def test_aggregation_large(air_dataset_large):
+  ctx = XarrayContext()
+  ctx.from_dataset("air", air_dataset_large)
+  query = """
+        SELECT lat, lon, AVG(air) AS air_avg
+        FROM air
+        GROUP BY lat, lon
     """
-    ).to_pandas()
-
-    if len(result) > 0:
-      # Verify mathematical operations
-      for _, row in result.iterrows():
-        temp = row['temperature']
-        self.assertAlmostEqual(
-            row['temp_diff_from_20'], abs(temp - 20), places=5
-        )
-        if temp >= 0:
-          self.assertAlmostEqual(row['temp_sqrt'], np.sqrt(temp), places=5)
-
-  def test_string_operations(self):
-    """Test string operations if applicable."""
-    ctx = XarrayContext()
-    ctx.from_dataset('air', self.air_small)
-
-    # Test string operations on numeric data converted to string
-    result = ctx.sql(
-        """
-      SELECT 
-        lat, lon,
-        CAST(lat AS VARCHAR) as lat_str,
-        CONCAT('Lat: ', CAST(lat AS VARCHAR), ', Lon: ', CAST(lon AS VARCHAR)) as coordinates
-      FROM air
-      LIMIT 10
+  result = ctx.sql(query).to_pandas()
+  expected_rows = (
+      air_dataset_large.sizes["lat"] * air_dataset_large.sizes["lon"]
+  )
+  assert len(result) == expected_rows
+
+
+def test_basic_select_all(air_dataset_small):
+  ctx = XarrayContext()
+  ctx.from_dataset("air", air_dataset_small)
+  result = ctx.sql("SELECT * FROM air LIMIT 10").to_pandas()
+  assert len(result) <= 10
+  for col in ["lat", "lon", "time", "air"]:
+    assert col in result.columns
+
+
+def test_weather_queries(weather_dataset):
+  ctx = XarrayContext()
+  ctx.from_dataset("weather", weather_dataset)
+  # Selecting specific columns
+  result = ctx.sql(
+      "SELECT lat, lon, temperature, precipitation FROM weather LIMIT 20"
+  ).to_pandas()
+  assert "temperature" in result.columns
+  assert "precipitation" in result.columns
+  # Filtering
+  result = ctx.sql(
+      "SELECT * FROM weather WHERE temperature > 10 LIMIT 50"
+  ).to_pandas()
+  assert len(result) > 0
+  assert (result["temperature"] > 10).all()
+
+
+def test_synthetic_aggregations(synthetic_dataset):
+  ctx = XarrayContext()
+  ctx.from_dataset("synthetic", synthetic_dataset)
+  # COUNT aggregation
+  result = ctx.sql("SELECT COUNT(*) AS total_count FROM synthetic").to_pandas()
+  assert result["total_count"].iloc[0] > 0
+  # MIN, MAX, AVG
+  query = """
+        SELECT MIN(temperature) AS min_temp,
+               MAX(temperature) AS max_temp,
+               AVG(temperature) AS avg_temp
+        FROM synthetic
     """
-    ).to_pandas()
-
-    self.assertGreater(len(result), 0)
-    self.assertIn('coordinates', result.columns)
-
-    # Verify concatenation worked
-    for _, row in result.iterrows():
-      expected = f"Lat: {row['lat']}, Lon: {row['lon']}"
-      # Allow for slight formatting differences
-      self.assertIn('Lat:', row['coordinates'])
-      self.assertIn('Lon:', row['coordinates'])
-
-
-class SqlErrorHandlingTestCase(unittest.TestCase):
-  """Test error handling and edge cases in SQL interface."""
-
-  def setUp(self):
-    """Set up dataset for error testing."""
-    self.air = xr.tutorial.open_dataset('air_temperature')
-    self.air_small = self.air.isel(
-        time=slice(0, 10), lat=slice(0, 5), lon=slice(0, 8)
-    ).chunk({'time': 5})
-
-  def test_invalid_table_name(self):
-    """Test error handling for invalid table names."""
-    ctx = XarrayContext()
-    ctx.from_dataset('air', self.air_small)
-
-    with self.assertRaises(Exception):
-      ctx.sql('SELECT * FROM nonexistent_table')
-
-  def test_invalid_column_name(self):
-    """Test error handling for invalid column names."""
-    ctx = XarrayContext()
-    ctx.from_dataset('air', self.air_small)
-
-    with self.assertRaises(Exception):
-      ctx.sql('SELECT nonexistent_column FROM air')
-
-  def test_syntax_errors(self):
-    """Test handling of SQL syntax errors."""
-    ctx = XarrayContext()
-    ctx.from_dataset('air', self.air_small)
-
-    # Invalid SQL syntax
-    with self.assertRaises(Exception):
-      ctx.sql('SELECT * FORM air')  # Typo: FORM instead of FROM
-
-    with self.assertRaises(Exception):
-      ctx.sql('SELECT * FROM air WHERE')  # Incomplete WHERE clause
-
-  def test_empty_dataset_handling(self):
-    """Test handling of empty datasets."""
-    # Create empty dataset
-    empty_ds = xr.Dataset({'temp': (['x'], [])}, coords={'x': []}).chunk(
-        {'x': 1}
-    )
-
-    ctx = XarrayContext()
-    ctx.from_dataset('empty', empty_ds)
-
-    # Should handle empty dataset gracefully
-    result = ctx.sql('SELECT * FROM empty').to_pandas()
-    self.assertEqual(len(result), 0)
-
-    # Aggregations on empty dataset
-    result = ctx.sql('SELECT COUNT(*) as count FROM empty').to_pandas()
-    self.assertEqual(len(result), 1)
-    self.assertEqual(result['count'].iloc[0], 0)
-
-  def test_large_limit_handling(self):
-    """Test handling of very large LIMIT values."""
-    ctx = XarrayContext()
-    ctx.from_dataset('air', self.air_small)
-
-    total_rows = (
-        self.air_small.sizes['time']
-        * self.air_small.sizes['lat']
-        * self.air_small.sizes['lon']
-    )
-
-    # Request more rows than exist
-    result = ctx.sql(f'SELECT * FROM air LIMIT {total_rows * 10}').to_pandas()
-    self.assertEqual(len(result), total_rows)
-
-
-if __name__ == '__main__':
-  unittest.main()
+  result = ctx.sql(query).to_pandas()
+  assert result["min_temp"].iloc[0] < result["max_temp"].iloc[0]
+  assert (
+      result["min_temp"].iloc[0]
+      <= result["avg_temp"].iloc[0]
+      <= result["max_temp"].iloc[0]
+  )
+
+
+def test_invalid_table_name(air_dataset_small):
+  ctx = XarrayContext()
+  ctx.from_dataset("air", air_dataset_small)
+  with pytest.raises(Exception):
+    ctx.sql("SELECT * FROM nonexistent_table")
+
+
+def test_invalid_column_name(air_dataset_small):
+  ctx = XarrayContext()
+  ctx.from_dataset("air", air_dataset_small)
+  with pytest.raises(Exception):
+    ctx.sql("SELECT nonexistent_column FROM air")
+
+
+def test_sql_syntax_error(air_dataset_small):
+  ctx = XarrayContext()
+  ctx.from_dataset("air", air_dataset_small)
+  with pytest.raises(Exception):
+    ctx.sql("SELECT * FORM air")  # Typo: FORM instead of FROM
+  with pytest.raises(Exception):
+    ctx.sql("SELECT * FROM air WHERE")  # Incomplete WHERE
+
+
+def test_cross_join(air_and_stations):
+  air, stations = air_and_stations
+  ctx = XarrayContext()
+  ctx.from_dataset("air_data", air)
+  ctx.from_dataset("stations", stations)
+  result = ctx.sql(
+      "SELECT COUNT(*) AS total FROM air_data CROSS JOIN stations"
+  ).to_pandas()
+  assert result["total"].iloc[0] > 0