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[SPARK-48374][PYTHON] Support additional PyArrow Table column types - #46688
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ianmcook wants to merge 3 commits into
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[SPARK-48374][PYTHON] Support additional PyArrow Table column types#46688ianmcook wants to merge 3 commits into
ianmcook wants to merge 3 commits into
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ianmcook
marked this pull request as ready for review
June 2, 2024 13:13
ianmcook
commented
Jun 2, 2024
MemberAuthor
cc @HyukjinKwon@xinrong-meng@zhengruifeng This is a small improvement that I split out from #46529. Thank you. |
HyukjinKwon
approved these changes
Jun 3, 2024
HyukjinKwon
commented
Jun 3, 2024
Member
Merged to master. |
HyukjinKwon
commented
Jun 3, 2024
Member
Thank you for fixing those. |
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What changes were proposed in this pull request?
This is a small follow-up to #46529. This adds support for some more Arrow data types:
Why are the changes needed?
Users who are creating Spark DataFrames from PyArrow Tables will expect it to work if their Tables contain these types of columns
Does this PR introduce any user-facing change?
It will prevent an error in the case where the user has one of these types of columns in their PyArrow Table. There are no other user-facing changes.
How was this patch tested?
Tests are included.
Was this patch authored or co-authored using generative AI tooling?
No