GitHub user mateiz opened a pull request:
https://github.com/apache/spark/pull/1993
[SPARK-3085] [SQL] Use compact data structures in SQL joins
This reuses the CompactBuffer from Spark Core to save memory and pointer
dereferences. I also tried AppendOnlyMap instead of java.util.HashMap
but unfortunately that slows things down because it seems to do more
equals() calls and the equals on GenericRow, and especially JoinedRow,
is pretty expensive.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/mateiz/spark spark-3085
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/1993.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #1993
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commit 5f903ee59bf9e2da8b8b99430cf01a9f15c48fd3
Author: Matei Zaharia <ma...@databricks.com>
Date: 2014-08-17T02:44:54Z
[SPARK-3085] [SQL] Use compact data structures in SQL joins
This reuses the CompactBuffer from Spark Core to save memory and pointer
dereferences. I also tried AppendOnlyMap instead of java.util.HashMap
but unfortunately that slows things down because it seems to do more
equals() calls and the equals on GenericRow, and especially JoinedRow,
is pretty expensive.
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