Gopal Nagar created SPARK-18804: ----------------------------------- Summary: 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; -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org