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Posted to issues@spark.apache.org by "Yi Tian (JIRA)" <ji...@apache.org> on 2014/11/19 06:47:33 UTC

[jira] [Created] (SPARK-4483) Optimization about reduce memory costs during the HashOuterJoin

Yi Tian created SPARK-4483:
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             Summary: Optimization about reduce memory costs during the HashOuterJoin
                 Key: SPARK-4483
                 URL: https://issues.apache.org/jira/browse/SPARK-4483
             Project: Spark
          Issue Type: Improvement
          Components: SQL
    Affects Versions: 1.1.0
            Reporter: Yi Tian
            Priority: Minor


In HashOuterJoin.scala, spark read data from both side of join operation before zip them together. It is a waste for memory. We are trying to read data from only one side, put them into hashmap, and then generate the {{JoinedRow}} with data from other side one by one.

Currently, we could only do this optimization for {{left outer join}} and {{right outer join}}. For {{full outer join}},  we will do somthing in another issue.



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