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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/01/04 03:28:00 UTC

[jira] [Comment Edited] (SPARK-26075) Cannot broadcast the table that is larger than 8GB : Spark 2.3

    [ https://issues.apache.org/jira/browse/SPARK-26075?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16733799#comment-16733799 ] 

Hyukjin Kwon edited comment on SPARK-26075 at 1/4/19 3:27 AM:
--------------------------------------------------------------

[~bhadani.neeraj.08@gmail.com] can you post reproducible codes that you ran? Let me take a quick look when i'm available.


was (Author: hyukjin.kwon):
[~bhadani.neeraj.08@gmail.com] can you post reproducible codes that you ran?

> Cannot broadcast the table that is larger than 8GB : Spark 2.3
> --------------------------------------------------------------
>
>                 Key: SPARK-26075
>                 URL: https://issues.apache.org/jira/browse/SPARK-26075
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.3.1
>            Reporter: Neeraj Bhadani
>            Priority: Major
>
>  I am trying to use the broadcast join but getting below error in Spark 2.3. However, the same code is working fine in Spark 2.2
>  
> Upon checking the size of the dataframes its merely 50 MB and I have set the threshold to 200 MB as well. As I mentioned above same code is working fine in Spark 2.2
>  
> {{Error: "Cannot broadcast the table that is larger than 8GB". }}
> However, Disabling the broadcasting is working fine.
> {{'spark.sql.autoBroadcastJoinThreshold': '-1'}}
>  
> {{Regards,}}
> {{Neeraj}}



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