GitHub user tianyi opened a pull request:
https://github.com/apache/spark/pull/3375
[SPARK-4483][SQL]Optimization about reduce memory costs during the
HashOuterJoin
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 a 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.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/tianyi/spark SPARK-4483
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/3375.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 #3375
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commit 838707dbfc089de25733fd3b91d7116adb47faf9
Author: tianyi <[email protected]>
Date: 2014-11-19T10:03:39Z
Optimization about reduce memory costs during the HashOuterJoin
commit 9e7d5b5dffc43cac0a859d07e3c13431afe6bf0f
Author: tianyi <[email protected]>
Date: 2014-11-19T11:40:22Z
remove commented old codes
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