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https://issues.apache.org/jira/browse/SPARK-7337?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Amit Gupta reopened SPARK-7337:
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I am running it in "local" mode and using Java API. It should spill over
hard-disk. I can clearly see that 500 tasks are not created by next stage hence
OutOfMemoryError is coming.
Please let me know if you need further information. I tried to run same logic
with custom code with 50 partitions and it worked. When I tried FPGrowth with
same data with >50 partitions it failed. Perhaps you need to check why 500
tasks are not created for "collect at FPGrowth.scala:131" (source of error).
> FPGrowth algo throwing OutOfMemoryError
> ---------------------------------------
>
> Key: SPARK-7337
> URL: https://issues.apache.org/jira/browse/SPARK-7337
> Project: Spark
> Issue Type: Bug
> Components: MLlib
> Affects Versions: 1.3.1
> Environment: Ubuntu
> Reporter: Amit Gupta
> Attachments: FPGrowthBug.png
>
>
> When running FPGrowth algo with huge data in GBs and with numPartitions=500
> then after some time it throws OutOfMemoryError.
> Algo runs correctly upto "collect at FPGrowth.scala:131" where it creates 500
> tasks. It fails at next stage "flatMap at FPGrowth.scala:150" where it fails
> to create 500 tasks and create some internal calculated 17 tasks.
> Please refer to attachment - print screen.
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