[jira] [Commented] (SPARK-18804) Join doesn't work in Spark on Bigger tables

["Sreelal S L (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-18804?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15741842#comment-15741842 ] 

Sreelal S L commented on SPARK-18804:
-------------------------------------

Can u check the Job Dag UI  and check what join algorithm is selected for join.

> Join doesn't work in Spark on Bigger tables
> -------------------------------------------
>
>                 Key: SPARK-18804
>                 URL: https://issues.apache.org/jira/browse/SPARK-18804
>             Project: Spark
>          Issue Type: Bug
>          Components: Input/Output
>    Affects Versions: 1.6.1
>            Reporter: Gopal Nagar
>
> Hi All,
> Spark1.6.1 has been installed on a AWS EMR 3 node cluster which has 32 GB RAM and 80 GB storage each node. I am trying to join two tables (1.2 GB & 900 MB ) have rows 4607818 & 14273378 respectively. It's running in client mode on Yarn cluster manager.
> If i put the limit as 100 in select query it works fine. But if i try to join on entire data set, Query runs for 3-4 hours and finally gets terminated. I can see always 18 GB free on each nodes.
> I have tried increasing no of executers/cores/partitions. But still doesn't work. This has been tried in PySpark and submitted using Spark Submit command but doesn't run. Please advise.
> Join Query 
> --------------
> select * FROM table1 as t1 join table2 as t2 on t1.col = t2.col limit 100;



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