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Hyukjin Kwon commented on SPARK-6072: ------------------------------------- Hi [~dimazhiyanov], could you confirm ^ please? > Enable hash joins for null-safe equality predicates > --------------------------------------------------- > > Key: SPARK-6072 > URL: https://issues.apache.org/jira/browse/SPARK-6072 > Project: Spark > Issue Type: Improvement > Components: SQL > Affects Versions: 1.2.1 > Reporter: Dima Zhiyanov > > Currently joins such as > A join B on A.x = B.x AND A.y <=> B.y > are evaluated as hash join on just x followed by filter on y. > This causes a skew problem (very long join) when a particular value of x has > a high cardinality even though (x, y) is evenly distributed > Can we implement is as a hash join on (X, Option(Y))? This will eliminate the > skew in this case > Imagine a join: > People as p1 join People as p2 on p1.name = p2.name and p1.address <=> > p2.address > (very small percentage of people has unknown address) > This causes a skewed join on popular names such as "Mary Brown" if we hash on > names alone, but will not cause a skew if we hash on (Name, Option(Address)) -- 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