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https://issues.apache.org/jira/browse/TEZ-3818?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16126805#comment-16126805
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TezQA commented on TEZ-3818:
----------------------------
{color:red}-1 overall{color}. Here are the results of testing the latest
attachment
http://issues.apache.org/jira/secure/attachment/12881863/TEZ-3818.patch
against master revision 823b1bb.
{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:red}-1 core tests{color}. The patch failed these unit tests in :
org.apache.tez.test.TestExceptionPropagation
Test results:
https://builds.apache.org/job/PreCommit-TEZ-Build/2616//testReport/
Console output: https://builds.apache.org/job/PreCommit-TEZ-Build/2616//console
This message is automatically generated.
> Support a new data routing policy for small partitions
> -------------------------------------------------------
>
> Key: TEZ-3818
> URL: https://issues.apache.org/jira/browse/TEZ-3818
> Project: Apache Tez
> Issue Type: Sub-task
> Reporter: Ming Ma
> Assignee: Ming Ma
> Attachments: TEZ-3818.patch
>
>
> Under the existing fair shuffle manager data routing policies of
> fair_parallelism and increase_parallelism, small partitions (total size up to
> the max desirable limit) are processed together by a single destination task.
> We have the following use case that will prefer having one destination task
> process one small partition while still having multiple destination tasks
> process one large partition. When destination vertex is connected to
> MultiMROutput and the output format is parquet output format, each instance
> of parquet output stream consumes extra memory. So if a destination task ends
> up processing lots of small partitions, it ends up exceeding the task memory
> limit.
> With the new data routing policy, here is the summary of what each data
> routing policy does.
> * reduce_parallelism. The parallelism is decreased to a desired level by
> having one destination task process multiple consecutive partitions.
> * fair_parallelism. The parallelism is adjusted to a desired level by having
> one destination task process multiple consecutive small partitions and
> multiple destination tasks process one large partition.
> * The new increase_parallelism. The parallelism is increased to a desired
> level by having one destination task process each small partition and
> multiple destination tasks process one large partition.
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