DataHub Python Builds

These prebuilt wheel files can be used to install our Python packages as of a specific commit.

Build context

Built at 2026-08-27T18:36:44.819789+00:00.

{
  "timestamp": "2026-08-27T18:36:44.819789+00:00",
  "branch": "bq-profiling/02-sentinel-constants",
  "commit": {
    "hash": "a5d5d7f2ca6e65ee29d3436888b81387f882799f",
    "message": "fix(ingest/bigquery): use sentinel partition-id constants in partition-stats query\n\ntables_for_dataset_with_partition_stats hardcoded the __NULL__/__UNPARTITIONED__/\n__STREAMING_UNPARTITIONED__ sentinels while the sibling legacy-stats query used the\ncanonical BQ_*_PARTITION_ID constants. Interpolate the constants in both queries so the\ntwo paths cannot drift.\n\nCo-authored-by: Cursor "
  },
  "base": {
    "hash": "4cb5c5c1f395ec6f8993e812918eae5649d85baf",
    "message": "fix(ingest/bigquery): harden profiling SQL/identifier guards\n\nAddress review feedback on the profiling security guards:\n- block EXPORT DATA / LOAD DATA and stacked CALL/EXEC/MERGE/GRANT/REVOKE\n  after a semicolon in both the query and filter denylists\n- catch UNION DISTINCT SELECT (not just UNION ALL SELECT) and '#' line\n  comments in filter expressions\n- recognize BETWEEN as a valid filter operator so generated time-partition\n  range filters are not rejected\n- use fullmatch for column-name validation so a trailing newline cannot\n  slip past the `$`-anchored pattern\n- restrict the INFORMATION_SCHEMA fast path to table/general references and\n  require a full-matched view suffix\n- allow digit-leading backtick-quoted table names (BigQuery date shards\n  like `20200101`)\n\nCo-authored-by: Cursor "
  },
  "pr": {
    "number": 19479,
    "title": "perf(ingest/bigquery): partition-ID sentinel constants + prebuilt system-tables deny pattern [2/9]",
    "url": "https://github.com/datahub-project/datahub/pull/19479"
  }
}

Usage

Current base URL: unknown

Package	Size	Install command
acryl-datahub	5.055 MB	uv pip install 'acryl-datahub @ <base-url>/artifacts/wheels/acryl_datahub-0.0.0.dev1-py3-none-any.whl'
acryl-datahub-actions	0.117 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	0.072 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	0.021 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	0.019 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	0.011 MB	uv pip install 'prefect-datahub @ <base-url>/artifacts/wheels/prefect_datahub-0.0.0.dev1-py3-none-any.whl'