Github user gatorsmile commented on the pull request:
https://github.com/apache/spark/pull/10092#issuecomment-161372323
@mateiz Thank you for your answer! Will try to do it soon.
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Github user mateiz commented on the pull request:
https://github.com/apache/spark/pull/10092#issuecomment-161365442
It might be nice to only expose a smaller # of storage levels in Python,
i.e. call them memory_only and memory_and_disk, but always use the serialized
ones underneath.
Github user gatorsmile commented on the pull request:
https://github.com/apache/spark/pull/10092#issuecomment-161212331
@davies Thank you for showing me the original JIRA by @mateiz . It sounds
like it does not make sense to keep data as deserialized Java objects since
data is seriali
Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/10092#issuecomment-161206421
Test PASSed.
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Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/10092#issuecomment-161206417
Merged build finished. Test PASSed.
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Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/10092#issuecomment-161206170
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Github user SparkQA commented on the pull request:
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Github user davies commented on the pull request:
https://github.com/apache/spark/pull/10092#issuecomment-161200705
This is on purpose, see https://issues.apache.org/jira/browse/SPARK-2014 cc
@mateiz
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GitHub user gatorsmile opened a pull request:
https://github.com/apache/spark/pull/10092
[SPARK-12091] [PYSPARK] [Minor] Default storage level of persist/cache
The current default storage level of Python persist API is MEMORY_ONLY_SER.
This is different from the default level MEMORY
