dbt-labs / dbt-spark

dbt-spark contains all of the code enabling dbt to work with Apache Spark and Databricks
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Update pyodbc requirement from ~=4.0.30 to ~=4.0.39 #742

Closed dependabot[bot] closed 1 year ago

dependabot[bot] commented 1 year ago

Updates the requirements on pyodbc to permit the latest version.

Release notes

Sourced from pyodbc's releases.

Bug fix

Version 4.0.38 had a serious bug in Row.repr which could cause crashes (#1196 ). That version has been yanked from PyPI and replaced with this one.

Commits
  • 7b4e277 Bump version to 4.0.39
  • 64dbc46 Correction to SQL Server unit test change
  • e16769b Update unit tests to include Row.repr fix (#1196)
  • 4c385cf Fix refcount bug in Row.repr
  • 92818cc Bump version in setup.py
  • 0912d9a Rework C++ calls for older GCC
  • b7b4e90 Revert: Do not allow exceptions in Cursor destructor (#585)
  • 5ab74b3 Do not allow exceptions in Cursor destructor (#585)
  • 6b107a2 Rewrite decimal parsing to eliminate buffer overflow
  • e7fefd8 don't use TypeAlias (#1191)
  • Additional commits viewable in compare view


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github-actions[bot] commented 1 year ago

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 dbt-spark contributing guide.