You are viewing a plain text version of this content. The canonical link for it is here.
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:
-------------------------------------------------------------------

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}



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org