Github user asfgit closed the pull request at:
https://github.com/apache/spark/pull/8569
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Github user davies commented on the pull request:
https://github.com/apache/spark/pull/8569#issuecomment-142190287
LGTM, will merge into master, thanks!
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Github user holdenk commented on the pull request:
https://github.com/apache/spark/pull/8569#issuecomment-142189285
@davies this should now work in the other places which are using cogroup
under the hood.
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Github user AmplabJenkins commented on the pull request:
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Github user SparkQA commented on the pull request:
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Github user SparkQA commented on the pull request:
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Github user holdenk commented on the pull request:
https://github.com/apache/spark/pull/8569#issuecomment-139401041
@davies That sounds like a good plan, I'll expand the JIRA & this PR over
the weekend and ping you when its done :)
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Github user davies commented on the pull request:
https://github.com/apache/spark/pull/8569#issuecomment-139387340
@holdenk Almost all the APIs in PairRDDFunctions take an optional
Partitioner, should we add this for all of them in Python?
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GitHub user holdenk opened a pull request:
https://github.com/apache/spark/pull/8569
[SPARK-9821][PYSPARK] pyspark-reduceByKey-should-take-a-custom-partitioner
In Scala, I can supply a custom partitioner to reduceByKey (and other
aggregation/repartitioning methods like aggregateByKe
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