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https://issues.apache.org/jira/browse/PIG-4601?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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liyunzhang_intel updated PIG-4601:
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Attachment: PIG-4601_4.patch
[~xuefuz]: PIG-4601_3.patch misses a new file MergeCogroupConverter.java. And
it makes compilation error. Can you revert changes of PIG-4601_3.patch and use
PIG-4601_4.patch? Very sorry for the inconvenience.
> Implement Merge CoGroup for Spark engine
> ----------------------------------------
>
> Key: PIG-4601
> URL: https://issues.apache.org/jira/browse/PIG-4601
> Project: Pig
> Issue Type: Sub-task
> Components: spark
> Affects Versions: spark-branch
> Reporter: Mohit Sabharwal
> Assignee: liyunzhang_intel
> Fix For: spark-branch
>
> Attachments: PIG-4601_1.patch, PIG-4601_2.patch, PIG-4601_3.patch,
> PIG-4601_4.patch
>
>
> When doing a cogroup operation, we need do a map-reduce. The target of merge
> cogroup is implementing cogroup only by a single stage(map). But we need to
> guarantee the input data are sorted.
> There is performance improvement for cases when A(big dataset) merge cogroup
> B( small dataset) because we first generate an index file of A then loading A
> according to the index file and B into memory to do cogroup. The performance
> improves because there is no cost of reduce period comparing cogroup.
> How to use
> {code}
> C = cogroup A by c1, B by c1 using 'merge';
> {code}
> Here A and B is sorted.
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