DataHub Python Builds

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

Build context

Built at 2026-05-14T16:47:39.545550+00:00.

{
  "timestamp": "2026-05-14T16:47:39.545550+00:00",
  "branch": "feat/pgqueue-messaging",
  "commit": {
    "hash": "0ec8fc81ea6ee73869c99ec5a919711de0bc85ce",
    "message": "feat(messaging): add pgQueue as alternative messaging transport to Kafka\n\nIntroduce a PostgreSQL-based queue (pgQueue) as an alternative messaging\ntransport, allowing DataHub to operate without Kafka/Elasticsearch\ndependencies for smaller deployments.\n\nKey changes:\n- pgQueue store with partitioned message tables, consumer offsets, and\n  retention via pg_partman\n- Messaging transport abstraction layer (MessagingTransport conditions,\n  KafkaMessagingEnabled/Disabled) for seamless switching between Kafka\n  and pgQueue\n- Consumer/processor refactoring: split Kafka listeners from processors\n  to enable pgQueue poll-based consumption\n- SqlSetup framework for managing PostgreSQL schema upgrades across\n  all postgres features (pgQueue, pgSearch, pgTimeseries, pgRouting,\n  pgSystemMetadata)\n- Write sink abstractions for graph, search, timeseries, and system\n  metadata to support both Elasticsearch and PostgreSQL backends\n- Python pgQueue client, ingestion sink, and DataHub Actions event source\n- Docker postgres image with pg_cron and pg_partman extensions\n- ES-optional mode (elasticsearch.enabled=false) for postgres-only\n  deployments\n\nExtracted from feat/postgres-sqlsetup-extensions commit 4c60a0b038.\n\nCo-authored-by: Cursor "
  },
  "base": {
    "hash": "d653170868f0ba2710a1a8bd3395cb026fe71804",
    "message": "fix(ingest/teradata): prevent silent hangs in parallel view processing and lineage fetch (#17421)\n\nCo-authored-by: Claude Opus 4.7 (1M context) "
  },
  "pr": {
    "number": 17446,
    "title": "feat(messaging): add pgQueue as alternative messaging transport to Kafka",
    "url": "https://github.com/datahub-project/datahub/pull/17446"
  }
}

Usage

Current base URL: unknown

Package	Size	Install command
acryl-datahub	3.849 MB	uv pip install 'acryl-datahub @ <base-url>/artifacts/wheels/acryl_datahub-0.0.0.dev1-py3-none-any.whl'
acryl-datahub-actions	0.108 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	0.109 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'