[SPARK-48374][PYTHON] Support additional PyArrow Table column types #46688
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ianmcook
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ianmcook
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cc @HyukjinKwon @xinrong-meng @zhengruifeng This is a small improvement that I split out from #46529. Thank you. |
HyukjinKwon
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Merged to master. |
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Thank you for fixing those. |
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### What changes were proposed in this pull request? This is a small follow-up to apache#46529. This adds support for some more Arrow data types: - fixed-size binary - fixed-size list - large list ### 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 Closes apache#46688 from ianmcook/SPARK-48374. Authored-by: Ian Cook <ianmcook@gmail.com> Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
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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