These prebuilt wheel files can be used to install our Python packages as of a specific commit.
Built at 2026-07-07T14:39:06.234445+00:00.
{
"timestamp": "2026-07-07T14:39:06.234445+00:00",
"branch": "fix-teradata-lowercase-container-urns",
"commit": {
"hash": "5ddde1f5e4dc0b907b0484aba131e8ad12692a30",
"message": "fix(ingest/teradata): lowercase database container URNs under convert_urns_to_lowercase\n\nWhen `convert_urns_to_lowercase` is enabled, dataset URNs were lower-cased\n(via `get_identifier` and the central `AutoLowercaseUrnsProcessor`) while the\ndatabase container URN was keyed on the source-case name. That split one\nphysical database into two URN identities: datasets ended up parented under a\ncontainer URN whose key did not match their own (lower-cased) name, which\nsurfaces as mismatched / duplicate \"lowercase\" containers once any\nconsistently-lower-cased producer touches the same database.\n\nThe central lowercase processor cannot fix this: container URNs are opaque\nhashes, so casing must be normalized at key-build time in the source (the same\napproach Snowflake takes by routing names through `snowflake_identifier`).\n\nNormalize the container name in the two seams that build the key:\n- `get_database_container_key` (dataset -> container parenting)\n- `gen_database_containers` (container entity creation)\n\n`get_db_name` is intentionally left in source case: it is reused verbatim as a\nquoted SQL identifier (`DATABASE \"{schema}\"` before view HELP commands), which\nmust match the stored case in CASESPECIFIC installations. Only URN identity is\nnormalized; SQL resolution is unaffected.\n\nTests cover flag-on consistency, flag-off no-op, and that the container\ncreation and parenting paths resolve to the same URN."
},
"base": {
"hash": "9c437e3b4690096ff8dd9f83cbd481b23d9543e4",
"message": "refactor(graphql): parse GraphQL documents once for rate limiting (#18170)\n\nCo-authored-by: Cursor "
},
"pr": {
"number": 18232,
"title": "fix(ingest/teradata): lowercase database container URNs under convert_urns_to_lowercase",
"url": "https://github.com/datahub-project/datahub/pull/18232"
}
}
Current base URL: unknown
| Package | Size | Install command |
|---|---|---|
acryl-datahub |
4.399 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' |