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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2016/07/12 12:09:20 UTC
[jira] [Assigned] (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:all-tabpanel ]
Apache Spark reassigned SPARK-16440:
------------------------------------
Assignee: Apache Spark
> 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: Apache Spark
> 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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