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https://issues.apache.org/jira/browse/SPARK-6235?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16998577#comment-16998577
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Imran Rashid commented on SPARK-6235:
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[~sammysheep] Spark's ML library uses the same jira project, if that is what
you meant -- but I don't know of what specifically has already been implemented
in spark to deal w/ large PCA or if there is another specific issue just for
that. I'd suggest you first ask u...@spark.apache.org, since the first
question is if there is another way of dealing with this
> Address various 2G limits
> -------------------------
>
> Key: SPARK-6235
> URL: https://issues.apache.org/jira/browse/SPARK-6235
> Project: Spark
> Issue Type: Umbrella
> Components: Shuffle, Spark Core
> Reporter: Reynold Xin
> Priority: Major
> Fix For: 2.4.0
>
> Attachments: SPARK-6235_Design_V0.02.pdf
>
>
> An umbrella ticket to track the various 2G limit we have in Spark, due to the
> use of byte arrays and ByteBuffers.
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