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Nicholas Chammas commented on SPARK-9862: ----------------------------------------- Is this issue meant to be a SQL-equivalent of SPARK-4644 (as suggested by [~rxin] in the comments)? > Join: Handling data skew > ------------------------ > > Key: SPARK-9862 > URL: https://issues.apache.org/jira/browse/SPARK-9862 > Project: Spark > Issue Type: Sub-task > Components: SQL > Reporter: Yin Huai > Attachments: Handling skew data in join.pdf > > > For a two way shuffle join, if one or multiple groups are skewed in one table > (say left table) but having a relative small number of rows in another table > (say right table), we can use broadcast join for these skewed groups and use > shuffle join for other groups. -- This message was sent by Atlassian JIRA (v6.3.15#6346) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org