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https://issues.apache.org/jira/browse/HUDI-724?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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leesf updated HUDI-724:
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Fix Version/s: 0.6.0
> Parallelize GetSmallFiles For Partitions
> ----------------------------------------
>
> Key: HUDI-724
> URL: https://issues.apache.org/jira/browse/HUDI-724
> Project: Apache Hudi (incubating)
> Issue Type: Improvement
> Components: Performance, Writer Core
> Reporter: Feichi Feng
> Priority: Major
> Labels: pull-request-available
> Fix For: 0.6.0
>
> Attachments: gap.png, nogapAfterImprovement.png
>
> Original Estimate: 48h
> Time Spent: 40m
> Remaining Estimate: 47h 20m
>
> When writing data, a gap was observed between spark stages. By tracking down
> where the time was spent on the spark driver, it's get-small-files operation
> for partitions.
> When creating the UpsertPartitioner and trying to assign insert records, it
> uses a normal for-loop for get the list of small files for all partitions
> that the load is going to load data to, and the process is very slow when
> there are a lot of partitions to go through. While the operation is running
> on spark driver process, all other worker nodes are sitting idle waiting for
> tasks.
> For all those partitions, they don't affect each other, so the
> get-small-files operations can be parallelized. The change I made is to pass
> the JavaSparkContext to the UpsertPartitioner, and create RDD for the
> partitions and eventually send the get small files operations to multiple
> tasks.
>
> screenshot attached for
> the gap without the improvement
> the spark stage with the improvement (no gap)
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