GitHub user omgteam opened a pull request:
https://github.com/apache/spark/pull/2775
Bug Fix: without unpersist method in RandomForest.scala
During trainning Gradient Boosting Decision Tree on large-scale sparse
data, spark spill hundreds of data onto disk. And find the bug below:
In version 1.1.0 DecisionTree.scala, train Method, treeInput has been
persisted in Memory, but without unpersist. It caused heavy DISK usage.
In github version(1.2.0 maybe), RandomForest.scala, train Method,
baggedInput has been persisted but without unpersisted too.
After added unpersist, it works right.
https://issues.apache.org/jira/browse/SPARK-3918
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/omgteam/spark master
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/2775.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 #2775
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commit 1a36f83697981e1ea0a15ff169dab04d54768254
Author: omgteam <[email protected]>
Date: 2014-10-13T00:12:27Z
Bug: fix without unpersist baggedInput in RandomForest.scala
commit 815d543606efb0f90da8c5a1c87b3e12924d25a7
Author: omgteam <[email protected]>
Date: 2014-10-13T00:26:12Z
adjust tab to spaces
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