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Posted to issues@spark.apache.org by "Anthony Truchet (JIRA)" <ji...@apache.org> on 2016/07/08 12:46:10 UTC
[jira] [Created] (SPARK-16440) Undeleted broadcast variables in
Word2Vec causing OoM for long runs
Anthony Truchet created SPARK-16440:
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Summary: 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: 1.6.2, 1.6.1, 1.6.0, 2.0.0
Reporter: Anthony Truchet
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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