Github user suyanNone commented on the pull request:
https://github.com/apache/spark/pull/4886#issuecomment-97048856
@srowen may i got some idea about why we need to try to cache twice:
if a shuffleRDD need to be cached, and level is memory&disk&serial, so
when first try,only can
Github user suyanNone closed the pull request at:
https://github.com/apache/spark/pull/4886
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Github user suyanNone commented on the pull request:
https://github.com/apache/spark/pull/4886#issuecomment-94342126
@srowen I fine to close this patch.
eh...I not sure I fully got your point. I agree this means "a level which
does not use memory" and ` This branch is for the case
Github user srowen commented on the pull request:
https://github.com/apache/spark/pull/4886#issuecomment-94252029
Do you mind closing this PR?
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Github user srowen commented on the pull request:
https://github.com/apache/spark/pull/4886#issuecomment-93945173
No, it means "a level which does not use memory". This branch is for the
case where you do not put in memory. I don't think this addresses the overall
comment before, or t
Github user suyanNone commented on the pull request:
https://github.com/apache/spark/pull/4886#issuecomment-93885511
@srowen
I forgot to update desc, already refine
if program go here `if (!putLevel.useMemory) {`, means put a disk level
block, or memory_and_disk level bl
Github user srowen commented on the pull request:
https://github.com/apache/spark/pull/4886#issuecomment-93378547
@suyanNone from the description I'm still not sure I understand why this is
needed. It seems reasonable to try again to put the data into memory, later, if
it is intended
Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/4886#issuecomment-92764219
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Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/4886#issuecomment-92764195
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Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/4886#issuecomment-92710924
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