These prebuilt wheel files can be used to install our Python packages as of a specific commit.
Built at 2026-06-19T17:34:30.770208+00:00.
{
"timestamp": "2026-06-19T17:34:30.770208+00:00",
"branch": "fix/unity-usage-drain-before-parse",
"commit": {
"hash": "dd3c6b68a5bd331414bb67b45b2548c9c888f2b2",
"message": "fix(ingest/unity): drain query history before parsing to avoid operation-handle eviction\n\nHold the Databricks warehouse cursor open across slow per-query parsing (~20-30 min\nfor large histories) causes the server-side operation handle to be evicted with a\nnon-retryable RESOURCE_DOES_NOT_EXIST error. Fix: drain all rows from\n_fetch_queries() into a FileBackedList first (fetching is ~instant,\nreleasing the cursor in seconds), then route/parse from the buffer in a separate\nloop. This matches the existing Snowflake/BigQuery audit-log drain pattern.\n\nRef: databricks/databricks-sql-python#785"
},
"base": {
"hash": "ddd3ad7aeb5f2d1deef24a58bed52b66c962cc41",
"message": "feat(ingestion/unity): add include_column_usage_stats opt-in flag\n\nWhen enabled, force full sqlglot parsing on the system-tables usage path\nso column-level usage statistics (fieldCounts) can be produced, bypassing\nthe preparsed table-lineage shortcut. Default off preserves the fast path.\nPush-down and skip_sqlglot flags are ignored in this mode, with a config\nvalidator warning when they are set together."
},
"pr": {
"number": 17971,
"title": "fix(ingest/unity): drain query history before parsing to avoid operation-handle eviction",
"url": "https://github.com/datahub-project/datahub/pull/17971"
}
}
Current base URL: unknown
| Package | Size | Install command |
|---|---|---|
acryl-datahub |
4.141 MB | uv pip install 'acryl-datahub @ <base-url>/artifacts/wheels/acryl_datahub-0.0.0.dev1-py3-none-any.whl' |
acryl-datahub-actions |
0.118 MB | uv pip install 'acryl-datahub-actions @ <base-url>/artifacts/wheels/acryl_datahub_actions-0.0.0.dev1-py3-none-any.whl' |
acryl-datahub-airflow-plugin |
0.067 MB | uv pip install 'acryl-datahub-airflow-plugin @ <base-url>/artifacts/wheels/acryl_datahub_airflow_plugin-0.0.0.dev1-py3-none-any.whl' |
acryl-datahub-dagster-plugin |
0.020 MB | uv pip install 'acryl-datahub-dagster-plugin @ <base-url>/artifacts/wheels/acryl_datahub_dagster_plugin-0.0.0.dev1-py3-none-any.whl' |
acryl-datahub-gx-plugin |
0.011 MB | uv pip install 'acryl-datahub-gx-plugin @ <base-url>/artifacts/wheels/acryl_datahub_gx_plugin-0.0.0.dev1-py3-none-any.whl' |
prefect-datahub |
0.012 MB | uv pip install 'prefect-datahub @ <base-url>/artifacts/wheels/prefect_datahub-0.0.0.dev1-py3-none-any.whl' |