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roncenzhao commented on HIVE-12450:
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Hi, [~prasanth_j], would you tell me which tool you
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roncenzhao commented on HIVE-7847:
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Hi, [~wzc1989], whether this problem is solved or not
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https://issues.apache.org/jira/browse/HIVE-14797?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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roncenzhao updated HIVE-14797:
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Attachment: HIVE-14797.4.patch
resolve the problem about running on spark/tez
> reducer number estimati
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roncenzhao commented on HIVE-14797:
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Hi, [~lirui] , I hava resolved this problem in the
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roncenzhao commented on HIVE-14797:
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Is there anyone who can review this patch?
thanks~
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roncenzhao updated HIVE-14797:
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Status: Patch Available (was: In Progress)
> reducer number estimating may lead to data skew
>
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roncenzhao updated HIVE-14797:
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Status: In Progress (was: Patch Available)
> reducer number estimating may lead to data skew
>
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roncenzhao edited comment on HIVE-14797 at 9/23/16 8:04 AM:
I
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roncenzhao commented on HIVE-14797:
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I think they are not related to my patch. The failu
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roncenzhao updated HIVE-14797:
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Attachment: HIVE-14797.3.patch
Remove some code duplication
> reducer number estimating may lead to dat
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roncenzhao updated HIVE-14797:
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Attachment: HIVE-14797.2.patch
Let the seed have two options: 31 and 131. Meanwhile the default value is
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roncenzhao commented on HIVE-14797:
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Or we can use the follow way:
Let the seed have two
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roncenzhao updated HIVE-14797:
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Status: Patch Available (was: Open)
> reducer number estimating may lead to data skew
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roncenzhao commented on HIVE-14797:
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Yes, we can not hard code the number (31). But we c
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roncenzhao updated HIVE-14797:
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Attachment: HIVE-14797.patch
> reducer number estimating may lead to data skew
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