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I have searched the existing issues, and I could not find an existing issue for this bug
Current Behavior
When specifying the env var DBT_DEFER_STATE=stateprod, it appears to be considered even when you try to overrule the state manually using dbt test --defer --state state (non-prod)
The following example results in stateprod being used as state.
When doing the same with DBT_STATE (and unsetting DBT_DEFER_STATE), it works as expected, and the flag gets precedence. i.e. the used state is 'state'
Relevant log output
NA
Environment
- OS: Windows 11
- Python: 3.10.5
- dbt: 1.8.7
Which database adapter are you using with dbt?
spark
Additional Context
I noticed that the on-run-end DOES use the expected state (provided via the cli flags) when having DBT_DEFER_STATE set! Causing inconsistent catalogs being referred in my case.
The text was updated successfully, but these errors were encountered:
Is this a new bug in dbt-core?
Current Behavior
When specifying the env var DBT_DEFER_STATE=stateprod, it appears to be considered even when you try to overrule the state manually using
dbt test --defer --state state
(non-prod)Do I miss something regarding
Expected Behavior
Expected to be able to overwrite the state using the flags, as stated in the docs: https://docs.getdbt.com/reference/node-selection/syntax#establishing-state
Steps To Reproduce
The following example results in
stateprod
being used as state.When doing the same with DBT_STATE (and unsetting DBT_DEFER_STATE), it works as expected, and the flag gets precedence. i.e. the used state is 'state'
Relevant log output
Environment
Which database adapter are you using with dbt?
spark
Additional Context
I noticed that the on-run-end DOES use the expected state (provided via the cli flags) when having DBT_DEFER_STATE set! Causing inconsistent catalogs being referred in my case.
The text was updated successfully, but these errors were encountered: