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https://issues.apache.org/jira/browse/SPARK-5186?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14278374#comment-14278374
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Derrick Burns commented on SPARK-5186:
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The aforementioned pull request does fix part of the problem, however, hashCode
is broken, not just inefficient. If one calls hashCode on a SparseVector with
large size, one will get an insufficient memory error.
> Vector.equals and Vector.hashCode are very inefficient
> -------------------------------------------------------
>
> Key: SPARK-5186
> URL: https://issues.apache.org/jira/browse/SPARK-5186
> Project: Spark
> Issue Type: Bug
> Components: MLlib
> Affects Versions: 1.2.0
> Reporter: Derrick Burns
> Original Estimate: 0.25h
> Remaining Estimate: 0.25h
>
> The implementation of Vector.equals and Vector.hashCode are correct but slow
> for SparseVectors that are truly sparse.
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