[ https://issues.apache.org/jira/browse/SPARK-16440?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15887730#comment-15887730 ]
Apache Spark commented on SPARK-16440: -------------------------------------- User 'AnthonyTruchet' has created a pull request for this issue: https://github.com/apache/spark/pull/14299 > 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: Anthony Truchet > Fix For: 1.6.3, 2.0.1 > > 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} -- This message was sent by Atlassian JIRA (v6.3.15#6346) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org