DataHub Python Builds

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

Build context

Built at 2026-02-02T18:31:05.616768+00:00.

{
  "timestamp": "2026-02-02T18:31:05.616768+00:00",
  "branch": "dev/sigma-parallel-sql-parsing",
  "commit": {
    "hash": "bf6b5557f56f9de03eaf950a879d73ae762b449a",
    "message": "feat(ingest/sigma): add parallel SQL parsing and default db/schema config\n\n- Add parallel SQL parsing using ThreadPoolExecutor for significant\n  performance improvement (10x+ faster lineage extraction)\n- Add sql_parsing_threads config option (default: 10) to control\n  parallelism\n- Add default_db and default_schema options to PlatformDetail for\n  generating fully qualified table URNs\n- Pre-parse all SQL queries in parallel before generating workunits\n- Cache parsing results to avoid redundant computation\n\nThis addresses slow ingestion times when using chart_sources_platform_mapping\nwith large numbers of charts (e.g., 5000+ charts taking 5+ hours)."
  },
  "pr": {
    "number": 16050,
    "title": "feat(ingest/sigma): add parallel SQL parsing and default db/schema config",
    "url": "https://github.com/datahub-project/datahub/pull/16050"
  }
}

Usage

Current base URL: unknown

Package	Size	Install command
acryl-datahub	2.822 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	0.106 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	0.010 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'