spark-issues mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Gopal Nagar (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-18804) Join doesn't work in Spark on Bigger tables
Date Tue, 13 Dec 2016 05:30:59 GMT

     [ https://issues.apache.org/jira/browse/SPARK-18804?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Gopal Nagar updated SPARK-18804:
--------------------------------
    Issue Type: Brainstorming  (was: Bug)

> 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: Brainstorming
>          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;



--
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


Mime
View raw message