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https://issues.apache.org/jira/browse/SPARK-13352?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15234559#comment-15234559
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Davies Liu edited comment on SPARK-13352 at 4/11/16 6:35 AM:
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The result is much better now (there is some fixed overhead for tests):
{code}
50M 2.2 seconds
100M 2.8 seconds
250M 3.7 seconds
500M 7.8 min
{code}
was (Author: davies):
The result is much better now:
{code}
50M 2.2 seconds
100M 2.8 seconds
250M 3.7 seconds
500M 7.8 min
{code}
> BlockFetch does not scale well on large block
> ---------------------------------------------
>
> Key: SPARK-13352
> URL: https://issues.apache.org/jira/browse/SPARK-13352
> Project: Spark
> Issue Type: Bug
> Components: Block Manager, Spark Core
> Reporter: Davies Liu
> Assignee: Zhang, Liye
> Priority: Critical
> Fix For: 1.6.2, 2.0.0
>
>
> BlockManager.getRemoteBytes() perform poorly on large block
> {code}
> test("block manager") {
> val N = 500 << 20
> val bm = sc.env.blockManager
> val blockId = TaskResultBlockId(0)
> val buffer = ByteBuffer.allocate(N)
> buffer.limit(N)
> bm.putBytes(blockId, buffer, StorageLevel.MEMORY_AND_DISK_SER)
> val result = bm.getRemoteBytes(blockId)
> assert(result.isDefined)
> assert(result.get.limit() === (N))
> }
> {code}
> Here are runtime for different block sizes:
> {code}
> 50M 3 seconds
> 100M 7 seconds
> 250M 33 seconds
> 500M 2 min
> {code}
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