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upgrade to support dbt-core v1.5.0 #347
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we should look at #289 now that there is a test for it |
I've one question... With support to |
@romiof Yes, that should be part of it |
Any idea when |
The following error is also blocking using dbt 1.5.2 and dbt-sqlserver. ImportError: cannot import name '_make_ref_key_msg' from 'dbt.adapters.cache' (/usr/local/lib/python3.11/site-packages/dbt/adapters/cache.py) Edit: Add a link to the relevant dbt-core commit. |
Bumping, would be great to at least have some clue when it might be coming, since it seems it's pending some major refactoring effort? If it's going to take another few months, someone in the community might want to pick up and complete #390 as I think 1.5 has a bunch of new useful features. |
Any news on this? We (the AutomateDV dbt package) support SQLServer and are currently unable to upgrade from 1.4, 1.5, 1.6 & 1.7 as we wanted to wait for all adapters to support these new versions. If this isn't releasing any time soon we will need to release without up-to-date support for SQLServer. I understand this is community supported and it takes time - just want to know either way |
For anyone still looking, it looks like 1.7 will be implemented soon, see #461 |
Closing as 1.8 out now |
Background
The latest version of dbt Core,
dbt-core==1.5.0rc1
, was published on April 13, 2023 (PyPI | Github).How to upgrade
dbt-labs/dbt-core#7213 is an open discussion with more detailed information. If you have questions, please put them there!
The above linked guide has more information, but below is a high-level checklist of work that would enable a successful 1.5.0 release of your adapter.
Add support for materialized views(this likely will be bumped to 1.6.0)the next minor release:
1.6.0
FYI,
dbt-core==1.6.0
is expected to be released at the end of July, with a release cut at least two weeks prior.The text was updated successfully, but these errors were encountered: