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Last week, dbt-core released v1.9.0. Today I tried to upgrade dbt-core to the 1.9.0 in my project, but I encountered this problem:
uv add "dbt-core==1.9.0"
× No solution found when resolving dependencies:
╰─▶ Because dagster-dbt==0.25.5 depends on dbt-core>=1.7,<1.9 and your project depends on
dagster-dbt==0.25.5, we can conclude that your project depends on dbt-core>=1.7,<1.9.
And because your project depends on dbt-core==1.9.0, we can conclude that your project's requirements are unsatisfiable.
So it looks like we just need to allow the 1.9.x version in dagster-dbt.
Ideas of implementation
No response
Additional information
No response
Message from the maintainers
Impacted by this issue? Give it a 👍! We factor engagement into prioritization.
The text was updated successfully, but these errors were encountered:
## Summary & Motivation
Closes#26538
## How I Tested These Changes
I ran the tests in `dagster-dbt` on my local machine. Some tests failed
but that seems due to missing environment variables to test against
remote warehouses.
I'm not sure how to otherwise test this change best. Input would be
appreciated!
## Changelog
[dagster-dbt] `dbt-core>=1.9` is now supported
Has this issue really been resolved? I tried to install both dagster_dbt 0.25.6 and dbt-core 1.9.1, but pip still returns a conflicting dependency error. Running pip without version numbers, i.e pip install dbt-core dbt_dagster results in dbt-core version 1.8.9 and dbt_dagster version 0.25.6.
Hi @stiabh -- the fix has been merged in, but a release has not yet gone out with the fix applied (github auto-closes issues on merge, sorry for the confusion!). I'll reopen this issue until the next release goes out.
What's the use case?
Last week,
dbt-core
released v1.9.0. Today I tried to upgradedbt-core
to the 1.9.0 in my project, but I encountered this problem:So it looks like we just need to allow the 1.9.x version in dagster-dbt.
Ideas of implementation
No response
Additional information
No response
Message from the maintainers
Impacted by this issue? Give it a 👍! We factor engagement into prioritization.
The text was updated successfully, but these errors were encountered: