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https://issues.apache.org/jira/browse/MAHOUT-1693?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14506354#comment-14506354
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Hudson commented on MAHOUT-1693:
--------------------------------
SUCCESS: Integrated in Mahout-Quality #3132 (See
[https://builds.apache.org/job/Mahout-Quality/3132/])
MAHOUT-1693: Override .toString() in AbstractMatrix using VectorView closes
apache/mahout#121 (apalumbo: rev 6a3f93e6f695d12f63ef48c5e33f0d24658bd596)
* math/src/main/java/org/apache/mahout/math/FunctionalMatrixView.java
* math/src/main/java/org/apache/mahout/math/AbstractMatrix.java
* math/src/main/java/org/apache/mahout/math/SparseColumnMatrix.java
> FunctionalMatrixView materializes row vectors in scala shell
> ------------------------------------------------------------
>
> Key: MAHOUT-1693
> URL: https://issues.apache.org/jira/browse/MAHOUT-1693
> Project: Mahout
> Issue Type: Bug
> Components: Mahout spark shell, Math
> Affects Versions: 0.10.0
> Reporter: Suneel Marthi
> Assignee: Andrew Palumbo
> Priority: Blocker
> Fix For: 0.10.1
>
>
> FunctionalMatrixView materializes row vectors in scala shell.
> Problem first reported by a user Michael Alton, Intel:
> "When I first tried to make a large matrix, I got an out of Java heap space
> error. I increased the memory incrementally until I got it to work. “export
> MAHOUT_HEAPSIZE=8000” didn’t work, but “export MAHOUT_HEAPSIZE=64000” did.
> The question is why do we need so much memory? A 5000x5000 matrix of doubles
> should only take up ~200MB of space?"
> Problem has been narrowed down to not override toString() method in
> FunctionalMatrixView which causes it to materialize all of the row vectors
> when run in Mahout Spark Shell.
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