DataHub Python Builds

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

Build context

Built at 2026-07-09T17:07:00.459978+00:00.

{
  "timestamp": "2026-07-09T17:07:00.459978+00:00",
  "branch": "fix-snowflake-profiler-memory-issue",
  "commit": {
    "hash": "5cfbd8ea5e0ef46342b15e778330232fb8d4c895",
    "message": "fix(ingestion): add deterministic SEED to Snowflake TABLESAMPLE and update type signatures\n\n- Add SEED parameter to TABLESAMPLE queries for deterministic sampling\n  - Generates seed from hash(table_identifier) to ensure consistency\n  - All profiling queries now operate on the same sample data\n  - Prevents non-coherent metrics (e.g., min from one sample > max from another)\n\n- Update type signatures from sa.Table to sa.sql.FromClause\n  - Allows Snowflake adapter to use inline Subquery for TABLESAMPLE\n  - Updated ProfilingContext.sql_table to accept both Table and Subquery\n  - Updated all method signatures in sqlalchemy_profiler, adapters, and query_combiner_runner\n  - Use getattr() for .schema/.name access where FromClause doesn't guarantee these attributes\n\nTesting:\n- All unit tests passing (4/4 Snowflake adapter tests)\n- Integration tests show TABLESAMPLE with SEED working correctly\n- All linting and mypy checks passing\n\nCo-Authored-By: Claude Sonnet 4.5 "
  },
  "base": {
    "hash": "7d569456280091ac31892bc39ff4abc07827af59",
    "message": "ci(playwright): report individual test failures to PostHog for flake detection (#18284)"
  },
  "pr": {
    "number": 18253,
    "title": "fix(ingestion): implement temp table sampling in Snowflake SQLAlchemy profiler",
    "url": "https://github.com/datahub-project/datahub/pull/18253"
  }
}

Usage

Current base URL: unknown

Package	Size	Install command
acryl-datahub	4.463 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	0.011 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'