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https://issues.apache.org/jira/browse/PIG-5203?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15955962#comment-15955962
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liyunzhang_intel commented on PIG-5203:
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[~szita]:
cfe.getRequestedParallelism() is alway -1 while the rp value of
combinerLocalRearrange depends on user settings.
{code}
POReduceBySpark reduceOperator = new POReduceBySpark(cfe.getOperatorKey(),
cfe
.getRequestedParallelism(),
cfe.getInputPlans(), cfe.getToBeFlattened(),
combinePack, newRearrange);
{code}
Can we change the code like
{code}
POReduceBySpark reduceOperator = new POReduceBySpark(cfe.getOperatorKey(),
combinerLocalRearrange.getRequestedParallelism(),
cfe.getInputPlans(), cfe.getToBeFlattened(),
combinePack, newRearrange);
{code}
if we can,please run all unit tests to verify whether there is side effect to
the code modification
> Partitioner E2E test fails on spark
> -----------------------------------
>
> Key: PIG-5203
> URL: https://issues.apache.org/jira/browse/PIG-5203
> Project: Pig
> Issue Type: Sub-task
> Components: spark
> Reporter: Adam Szita
> Assignee: Adam Szita
> Fix For: spark-branch
>
> Attachments: PIG-5203.0.patch
>
>
> Cause of failure is the difference between expected and actual result:
> {color:red}Actual:
> 18 160
> 19 164
> 20 166
> ...
> {color}{color:green}
> Expected:
> 18 80
> 18 80
> 19 82
> 19 82
> ....
> {color}
> Seems like although we specify {{PARTITION BY
> org.apache.pig.test.utils.SimpleCustomPartitioner2 parallel 2}} in the query
> it has no effect in Spark mode.
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