DataHub Python Builds

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

Build context

Built at 2026-07-01T12:44:37.139483+00:00.

{
  "timestamp": "2026-07-01T12:44:37.139483+00:00",
  "branch": "feat/datahub-gc-query",
  "commit": {
    "hash": "d378cec8974568246ffae6e5d974dbad925b7c6f",
    "message": "feat(ingest/gc): add query cleanup pass for stale SYSTEM queries\n\nAdd a QueryCleanup module to datahub-gc that soft-deletes old SYSTEM\nqueries selected by age alone (lastModifiedAt older than retention_days)\nvia a single server-side search filter, with no reference gate. The\nexisting SoftDeletedEntitiesCleanup completes the hard-delete second pass.\n\nQuery entities previously had no first-pass cleanup and are excluded from\nstateful ingestion's stale-entity removal, so stale SYSTEM queries\naccumulated as permanent orphans in Elasticsearch and primary storage.\n\n- New query_cleanup.py (config, report, QueryCleanup) with run-bounding\n  (limit_entities_delete, runtime_limit_seconds) and threaded deletes.\n- Wire query_cleanup into DataHubGcSource, ordered before the\n  soft-deleted-entities cleanup stage.\n- Add query_cleanup block to the datahub-gc bootstrap template (v7).\n- Unit tests for filter selection, soft/hard delete, dry-run, and limits.\n\nDisabled by default (destructive).\n\nCo-Authored-By: Claude Opus 4.8 (1M context) "
  },
  "base": {
    "hash": "2735697f0a077745211a17ae6f69e739a3991d38",
    "message": "fix(ingest/spark): restore Java 17 bytecode for the agent shadow jar (regressed by the Java 21 migration) (#18113)"
  },
  "pr": {
    "number": 18120,
    "title": "feat(ingest/gc): add query cleanup pass for stale SYSTEM queries",
    "url": "https://github.com/datahub-project/datahub/pull/18120"
  }
}

Usage

Current base URL: unknown

Package	Size	Install command
acryl-datahub	4.297 MB	uv pip install 'acryl-datahub @ <base-url>/artifacts/wheels/acryl_datahub-0.0.0.dev1-py3-none-any.whl'
acryl-datahub-actions	0.116 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	0.011 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'