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https://issues.apache.org/jira/browse/SPARK-21118?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-21118.
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Resolution: Invalid
[~icesxrun] do not reopen this. This doesn't describe a problem with Spark, but
a question about usage.
> OOM with 2 handred million vertex when mitrx multply
> ----------------------------------------------------
>
> Key: SPARK-21118
> URL: https://issues.apache.org/jira/browse/SPARK-21118
> Project: Spark
> Issue Type: Bug
> Components: MLlib
> Affects Versions: 2.1.0
> Environment: on yarn cluster,19 node.30GB per node
> Reporter: tao
>
> i have 2 matrix each one is 200milions*200milions.
> i want to multiply them ,but run out with oom .
> finally i find the oom appear at blockmatrix.simulateMultiply . there is a
> collect action at this method.
> the collect will return all dataset that is too large to driver so the
> driver will go to oom.
> class BlockMatrix @Since("1.3.0") (
> private[distributed] def simulateMultiply(
> other: BlockMatrix,
> partitioner: GridPartitioner): (BlockDestinations, BlockDestinations) =
> {
> val leftMatrix = {color:red}blockInfo.keys.collect() {color}// blockInfo
> should already be cached
> val rightMatrix = other.blocks.keys.collect()
> ......
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