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Mike Chan commented on SPARK-13510:
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Thanks man
> Shuffle may throw FetchFailedException: Direct
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belvey commented on SPARK-13510:
@Mike in my case I set it to '536870912' (512m) ,and it can be set to
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Mike Chan commented on SPARK-13510:
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Hi [~belvey] I'm having similar issue and our
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belvey commented on SPARK-13510:
[~shenhong] , hello hongsheng, I am using spark2.0 facing the same
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Srikanth Daggumalli commented on SPARK-13510:
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OOM is not an issue. But would like to know
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Sital Kedia commented on SPARK-13510:
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[~shenhong] - We are seeing the same issue on our side. Do you
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song fengfei commented on SPARK-13510:
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Hi, Hong Shen
You mean that the shuffle data fetched based
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Hong Shen commented on SPARK-13510:
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I have resolve in our own edition, I will add a pull request this
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Hong Shen commented on SPARK-13510:
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We can't resolve all the shuffle OOM by allocate more memory, If
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Hong Shen commented on SPARK-13510:
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In our cluster, we have lot of sql run on hive, I want to use
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Sean Owen commented on SPARK-13510:
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[~shenhong] don't reopen JIRAs unless the discussion has
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Hong Shen commented on SPARK-13510:
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Add more log, fetch a block of 915.4 MB.
16/02/17 15:36:03 INFO
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Sean Owen commented on SPARK-13510:
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Without any detail about what you're running, it's hard to help.
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Hong Shen commented on SPARK-13510:
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I will add the logic in my edition.
> Shuffle may throw
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