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Posted to dev@hive.apache.org by "ransom.hezhiqiang (JIRA)" <ji...@apache.org> on 2012/05/16 14:21:02 UTC
[jira] [Commented] (HIVE-1065) When data is large,a reducer's
memory can not hold the big data by using list to store the data, and get
an error "out of memory"
[ https://issues.apache.org/jira/browse/HIVE-1065?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13276691#comment-13276691 ]
ransom.hezhiqiang commented on HIVE-1065:
-----------------------------------------
MapJoin,bucket mapJoin,sorted bucket MapJoin.
and also can used Stream table to steam the big table.
if two table's data is also very large .
try skew join. change the tasknum.
> When data is large,a reducer's memory can not hold the big data by using list to store the data, and get an error "out of memory"
> ---------------------------------------------------------------------------------------------------------------------------------
>
> Key: HIVE-1065
> URL: https://issues.apache.org/jira/browse/HIVE-1065
> Project: Hive
> Issue Type: Bug
> Affects Versions: 0.3.0
> Environment: redhat enterprise 4.0
> Reporter: fuyangchang
> Priority: Critical
> Original Estimate: 168h
> Remaining Estimate: 168h
>
> When data is large,I do a "join" operation ,a reducer's memory can not hold the big data by using list to store the data, and get an error "out of memory"
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