These prebuilt wheel files can be used to install our Python packages as of a specific commit.
Built at 2026-03-04T17:51:04.264266+00:00.
{
"timestamp": "2026-03-04T17:51:04.264266+00:00",
"branch": "mode_cross_space_parallelization",
"commit": {
"hash": "6ccfa24e8fbc6ce1a8dcfc234fc635a8fa24b644",
"message": "perf(sql-parsing): Use scope-aware join traversal in _list_joins\n\n_list_joins used Expression.find_all(Join) which descends into CTE\ndefinitions, causing joins to be re-processed in the outer scope after\nalready being handled in their own CTE scopes. This triggered redundant\nto_node() calls with expensive AST deep-copy/serialize/re-parse cycles.\n\nReplace with find_all_in_scope() which stops at scope boundaries.\nFor a query with 4 CTEs and 11+ JOINs this eliminates 79% of to_node()\ncalls (7,206 -> 1,538) and gives a 5x speedup in _list_joins.\n\nCo-Authored-By: Claude Opus 4.6 "
},
"pr": {
"number": 16408,
"title": "perf(ingestion/mode): Parallelize report processing across all spaces",
"url": "https://github.com/datahub-project/datahub/pull/16408"
}
}
Current base URL: unknown
| Package | Size | Install command |
|---|---|---|
acryl-datahub |
2.959 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 |
0.108 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' |