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Support Dataframe Cogroup via Pandas UDFs
URL: https://github.com/apache/spark/pull/24981#discussion_r315752866
##
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##
@@ -359,10 +417,24 @@ def map_batch(batch):
d80tb7 commented on a change in pull request #24981: [SPARK-27463][PYTHON]
Support Dataframe Cogroup via Pandas UDFs
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joshrosen-stripe commented on a change in pull request #25503:
[SPARK-28702][SQL] Display useful error message (instead of NPE) for invalid
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@cloud-fan I added a test for external partitioned table:
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revans2 commented on issue #25499: [SPARK-28774] [SQL] Fix exchange reuse for
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URL: https://github.com/apache/spark/pull/25499#issuecomment-523026985
@kiszk @cloud-fan @HyukjinKwon I added in a simple unit test that fails
without the changes and passes with them. I didn't go
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URL: https://github.com/apache/spark/pull/25505#issuecomment-523007466
Hi @srowen
I believe the general convention is to use the session state's hadoop conf
(see
tgravescs commented on issue #25491: [SPARK-28699][SQL] Disable using radix
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URL: https://github.com/apache/spark/pull/25491#issuecomment-523007056
I'm ok either way, I guess it comes down to the performance implications,
which is why I
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dlstadther opened a new pull request #25513: [MINOR] [DOC] Fix Dockerfile path
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### What changes were proposed in this pull request?
Fixes the referenced file path for building Python/R binding docker files.
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