DataHub Python Builds

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

Build context

Built at 2026-06-04T17:20:44.577410+00:00.

{
  "timestamp": "2026-06-04T17:20:44.577410+00:00",
  "branch": "fix/snowflake_stages_external_lineage",
  "commit": {
    "hash": "e0388aa5638af0240d15ec8fe7dbdb66f51ad792",
    "message": "refactor(ingest/snowflake): tighten external-stage lineage types and add path resolver utility\n\n- Extract DataLakePathResolver to data_lake_common/: a reusable bucket-scoped\n  path -> existing-URN graph-lookup utility with per-run caching. One graph\n  call per bucket regardless of how many stage paths share it.\n- Catch InvalidUrnError alongside ValueError when parsing stage URLs so a\n  malformed gcs:// (empty path) no longer crashes extraction.\n- Make ParsedStageUrl, StageLookupEntry, and DataLakeUrnLookup frozen\n  dataclasses with Tuple[str, ...] URN lists; construct StageLookupEntry once\n  with its final URNs. Bucket is derived from path via @property so the\n  invariant holds by construction.\n- Replace lazy _get_path_resolver/assert pattern with __post_init__\n  construction; raise RuntimeError instead of asserting so the guard stays\n  loud under python -O.\n- Replace O(n^2) input_datasets dedup with dict.fromkeys (preserves order).\n- Add tests for stages_without_urn warning path, gcs empty-path parse, and\n  the DataLakePathResolver bucket-boundary contract.\n\nCo-Authored-By: Claude Opus 4.7 (1M context) "
  },
  "base": {
    "hash": "868a4aa4523180e9283f626528a95debd578fe84",
    "message": "perf(ingest): back UsageAggregator with SQL-side incremental counting (#17703)"
  },
  "pr": {
    "number": 17358,
    "title": "fix(ingest/snowflake): resolve external stage lineage via DataHub graph",
    "url": "https://github.com/datahub-project/datahub/pull/17358"
  }
}

Usage

Current base URL: unknown

Package	Size	Install command
acryl-datahub	4.096 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'