DataHub Python Builds

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

Build context

Built at 2026-03-04T20:04:42.067656+00:00.

{
  "timestamp": "2026-03-04T20:04:42.067656+00:00",
  "branch": "mode_cross_space_parallelization",
  "commit": {
    "hash": "1b32a7b2ed09ff3b5e744536e9e6d559a1da35ef",
    "message": "perf(sql-parsing): Use scope-based table resolution in _get_join_side_tables\n\nReplace expensive to_node() calls in _get_join_side_tables with direct\nscope.sources resolution. This avoids the costly deepcopy -> sql() ->\nparse_one() cycle for each join side, while keeping the precise to_node()\napproach for ON clause column resolution via intersection filtering.\n\nKey changes:\n- New _collect_tables_from_scope() walks scope.sources recursively through\n  SUBQUERY/DERIVED_TABLE scopes to find physical Table nodes\n- Smart CTE handling: only follows CTE sources actually referenced in\n  FROM/JOIN clauses (avoids sibling CTE over-inclusion from sqlglot)\n- Hoists FROM clause resolution outside the per-join loop\n- Skips UDTF scopes (LATERAL/UNNEST) which include correlated references\n\nBenchmark on production 27-min query: 44.4s -> 7.5s (5.9x speedup).\n\nCo-Authored-By: Claude Opus 4.6 "
  },
  "pr": {
    "number": 16408,
    "title": "perf(ingestion/mode): Parallelize report processing across all spaces",
    "url": "https://github.com/datahub-project/datahub/pull/16408"
  }
}

Usage

Current base URL: unknown

Package	Size	Install command
acryl-datahub	2.960 MB	uv pip install 'acryl-datahub @ <base-url>/artifacts/wheels/acryl_datahub-0.0.0.dev1-py3-none-any.whl'
acryl-datahub-actions	0.105 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	0.108 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	0.011 MB	uv pip install 'prefect-datahub @ <base-url>/artifacts/wheels/prefect_datahub-0.0.0.dev1-py3-none-any.whl'