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https://issues.apache.org/jira/browse/TEZ-3159?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16120698#comment-16120698
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TezQA commented on TEZ-3159:
----------------------------
{color:green}+1 overall{color}. Here are the results of testing the latest
attachment
http://issues.apache.org/jira/secure/attachment/12881071/TEZ-3159.002.patch
against master revision 8dcf8a1.
{color:green}+1 @author{color}. The patch does not contain any @author
tags.
{color:green}+1 tests included{color}. The patch appears to include 1 new
or modified test files.
{color:green}+1 javac{color}. The applied patch does not increase the
total number of javac compiler warnings.
{color:green}+1 javadoc{color}. There were no new javadoc warning messages.
{color:green}+1 findbugs{color}. The patch does not introduce any new
Findbugs (version 3.0.1) warnings.
{color:green}+1 release audit{color}. The applied patch does not increase
the total number of release audit warnings.
{color:green}+1 core tests{color}. The patch passed unit tests in .
Test results:
https://builds.apache.org/job/PreCommit-TEZ-Build/2608//testReport/
Console output: https://builds.apache.org/job/PreCommit-TEZ-Build/2608//console
This message is automatically generated.
> Reduce memory utilization while serializing keys and values
> -----------------------------------------------------------
>
> Key: TEZ-3159
> URL: https://issues.apache.org/jira/browse/TEZ-3159
> Project: Apache Tez
> Issue Type: Improvement
> Reporter: Rohini Palaniswamy
> Assignee: Muhammad Samir Khan
> Attachments: TEZ-3159.001.patch, TEZ-3159.002.patch
>
>
> Currently DataOutputBuffer is used for serializing. The underlying buffer
> keeps doubling in size when it reaches capacity. In some of the Pig scripts
> which serialize big bags, we end up with OOM in Tez as there is no space to
> double the array size. Mapreduce mode runs fine in those cases with 1G heap.
> The scenarios are
> - When combiner runs in reducer and some of the fields after combining
> are still big bags (For eg: distinct). Currently with mapreduce combiner does
> not run in reducer - MAPREDUCE-5221. Since input sort buffers hold good
> amount of memory at that time it can easily go OOM.
> - While serializing output with bags when there are multiple inputs and
> outputs and the sort buffers for those take up space.
> It is a pain especially after buffer size hits 128MB. Doubling at 128MB will
> require 128MB (existing array) +256MB (new array). Any doubling after that
> requires even more space. But most of the time the data is probably not going
> to fill up that 256MB leading to wastage.
>
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