Decimal256 not working#94
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xuliangs
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Jul 8, 2026
Adds statement-level support for the dbt python-models execution path,
ported from the legacy arrow-adbc bigquery driver. When any of the
Dataproc/GCS statement options are set, ExecuteQuery dispatches to a
new python_models.go path instead of running SQL:
- adbc.bigquery.create_batch.{parent,batch_yml,batch_id} — submit a
Dataproc serverless Batch (YAML payload parsed into dataprocpb.Batch).
- adbc.bigquery.dataproc.submit_job.{cluster_name,gcs_path} — submit a
PySpark job on an existing Dataproc cluster.
- adbc.bigquery.write_gcs.{bucket,object_name,content} — upload a
string to GCS (used to stage the model source).
- adbc.bigquery.dataproc.{compute_region,project,pooling_timeout} —
Dataproc addressing + operation timeout.
Adds three connection helpers (newDataprocBatchClient,
newJobControllerClient, newGCSClient) that reuse the connection's
authOptions() so credentials, quota project, and impersonation are
shared across BigQuery/Dataproc/GCS clients.
Ports arrow-adbc commit fad437ac7 (python models(serverless + cluster),
adbc-drivers#94). The bigframes/Vertex AI Notebook half lands in a separate commit.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
xuliangs
pushed a commit
to dbt-labs/bigquery-adbc
that referenced
this pull request
Jul 8, 2026
Adds statement-level support for the dbt python-models execution path,
ported from the legacy arrow-adbc bigquery driver. When any of the
Dataproc/GCS statement options are set, ExecuteQuery dispatches to a
new python_models.go path instead of running SQL:
- adbc.bigquery.create_batch.{parent,batch_yml,batch_id} — submit a
Dataproc serverless Batch (YAML payload parsed into dataprocpb.Batch).
- adbc.bigquery.dataproc.submit_job.{cluster_name,gcs_path} — submit a
PySpark job on an existing Dataproc cluster.
- adbc.bigquery.write_gcs.{bucket,object_name,content} — upload a
string to GCS (used to stage the model source).
- adbc.bigquery.dataproc.{compute_region,project,pooling_timeout} —
Dataproc addressing + operation timeout.
Adds three connection helpers (newDataprocBatchClient,
newJobControllerClient, newGCSClient) that reuse the connection's
authOptions() so credentials, quota project, and impersonation are
shared across BigQuery/Dataproc/GCS clients.
Ports arrow-adbc commit fad437ac7 (python models(serverless + cluster),
adbc-drivers#94). The bigframes/Vertex AI Notebook half lands in a separate commit.
xuliangs
pushed a commit
to dbt-labs/bigquery-adbc
that referenced
this pull request
Jul 8, 2026
Adds statement-level support for the dbt python-models execution path,
ported from the legacy arrow-adbc bigquery driver. When any of the
Dataproc/GCS statement options are set, ExecuteQuery dispatches to a
new python_models.go path instead of running SQL:
- adbc.bigquery.create_batch.{parent,batch_yml,batch_id} — submit a
Dataproc serverless Batch (YAML payload parsed into dataprocpb.Batch).
- adbc.bigquery.dataproc.submit_job.{cluster_name,gcs_path} — submit a
PySpark job on an existing Dataproc cluster.
- adbc.bigquery.write_gcs.{bucket,object_name,content} — upload a
string to GCS (used to stage the model source).
- adbc.bigquery.dataproc.{compute_region,project,pooling_timeout} —
Dataproc addressing + operation timeout.
Adds three connection helpers (newDataprocBatchClient,
newJobControllerClient, newGCSClient) that reuse the connection's
authOptions() so credentials, quota project, and impersonation are
shared across BigQuery/Dataproc/GCS clients.
Ports arrow-adbc commit fad437ac7 (python models(serverless + cluster),
adbc-drivers#94). The bigframes/Vertex AI Notebook half lands in a separate commit.
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This contains breaking changes.
Closes #NNN.