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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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