dbt-labs / dbt-spark

dbt-spark contains all of the code enabling dbt to work with Apache Spark and Databricks
https://getdbt.com
Apache License 2.0
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[ADAP-1071] [Bug] `latest` and `1.x.latest` tags for ghcr Docker releases are stale #957

Closed dbeatty10 closed 3 months ago

dbeatty10 commented 9 months ago

Is this a new bug in dbt-spark?

Current Behavior

Look at https://github.com/dbt-labs/dbt-spark/pkgs/container/dbt-spark/versions?filters%5Bversion_type%5D=tagged

1.3.0 is tagged as latest:

image

Expected Behavior

1.6.1 is tagged as latest and 1.6.latest:

image

And the rest of the 1.x minor versions have 1.x.latest tags as well.

Steps To Reproduce

See current behavior above.

Relevant log output

No response

Environment

- OS:
- Python:
- dbt-core:
- dbt-spark:

Additional Context

No response

dbeatty10 commented 8 months ago

https://github.com/dbt-labs/dbt-core/pull/9495 fixes the underlying issue (thank you @mikealfare !), and this particular issue will be resolved for each 1.x version of this adapter upon its next patch release.

We are choosing not to address any un-supported versions at this time, so <=1.4.x will not be updated.

Here are the most recent ones for the supported versions of dbt-spark in PyPI:

So this will be completely resolved for >=1.5.x when each of the following are released (but only if each is released prior to falling out of support):