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@peterallenwebb peterallenwebb commented Jan 30, 2024

resolves #

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  • I have read the contributing guide and understand what's expected of me
  • I have run this code in development and it appears to resolve the stated issue
  • This PR includes tests, or tests are not required/relevant for this PR
  • This PR has no interface changes (e.g. macros, cli, logs, json artifacts, config files, adapter interface, etc) or this PR has already received feedback and approval from Product or DX
  • This PR includes type annotations for new and modified functions

@cla-bot cla-bot bot added the cla:yes label Jan 30, 2024
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Thank you for your pull request! We could not find a changelog entry for this change. For details on how to document a change, see the contributing guide.

@peterallenwebb peterallenwebb marked this pull request as ready for review January 31, 2024 02:55
@peterallenwebb peterallenwebb requested a review from a team as a code owner January 31, 2024 02:55
@MichelleArk
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MichelleArk commented Feb 1, 2024

Changes look good overall. I guess we'll need to release on dbt-common first with the corresponding changes in dbt-labs/dbt-common#52 to see CI passing

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codecov bot commented Feb 2, 2024

Codecov Report

Attention: 1 lines in your changes are missing coverage. Please review.

Comparison is base (1a5d692) 88.04% compared to head (3e8820c) 87.96%.
Report is 1 commits behind head on main.

Files Patch % Lines
core/dbt/logger.py 50.00% 1 Missing ⚠️
Additional details and impacted files
@@            Coverage Diff             @@
##             main    #9489      +/-   ##
==========================================
- Coverage   88.04%   87.96%   -0.08%     
==========================================
  Files         167      167              
  Lines       22126    22171      +45     
==========================================
+ Hits        19480    19503      +23     
- Misses       2646     2668      +22     
Flag Coverage Δ
integration 85.42% <88.37%> (-0.17%) ⬇️
unit 62.36% <74.41%> (+<0.01%) ⬆️

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return self.node_results

@staticmethod
def _pool_thread_initializer(ci):
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nit: is ci the InvocationContext? If so, we can name it ic and type annotate for clarity

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oops, yes

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3 participants