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Posted to issues@spark.apache.org by "Anthony Truchet (JIRA)" <ji...@apache.org> on 2016/07/19 11:22:20 UTC
[jira] [Comment Edited] (SPARK-16440) Undeleted broadcast variables
in Word2Vec causing OoM for long runs
[ https://issues.apache.org/jira/browse/SPARK-16440?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15383967#comment-15383967 ]
Anthony Truchet edited comment on SPARK-16440 at 7/19/16 11:21 AM:
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Thanks for such a quick fix [~srowen] : I was off-line for the past week that's why I couldn't submit the patch quickly enough.
I would have {{destroyed}} the variable instead of {{unpersisting}} them though as the issues was memory consumption on the *driver* side: what am I missing which made you choose the later over the former ?
was (Author: anthony-truchet):
Thanks for such a quick fix [~srowen] : I was off-line for the past week that's why I couldn't submit the patch quickly enough.
I would have {{destroy}}ed the variable instead of {{unpersist}}ing them though as the issues was memory consumption on the driver side: what am I missing which made you choose the later over the former ?
> Undeleted broadcast variables in Word2Vec causing OoM for long runs
> --------------------------------------------------------------------
>
> Key: SPARK-16440
> URL: https://issues.apache.org/jira/browse/SPARK-16440
> Project: Spark
> Issue Type: Bug
> Components: MLlib
> Affects Versions: 1.6.0, 1.6.1, 1.6.2, 2.0.0
> Reporter: Anthony Truchet
> Assignee: Sean Owen
> Fix For: 1.6.3, 2.0.0
>
> Original Estimate: 4h
> Remaining Estimate: 4h
>
> Three broadcast variables created at the beginning of {{Word2Vec.fit()}} are never deleted nor unpersisted. This seems to cause excessive memory consumption on the driver for a job running hundreds of successive training.
> They are
> {code}
> val expTable = sc.broadcast(createExpTable())
> val bcVocab = sc.broadcast(vocab)
> val bcVocabHash = sc.broadcast(vocabHash)
> {code}
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