[jira] [Comment Edited] (SPARK-13352) BlockFetch does not scale well on large block
[
https://issues.apache.org/jira/browse/SPARK-13352?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15234559#comment-15234559
]
Davies Liu edited comment on SPARK-13352 at 4/18/16 6:40 AM:
-
The result is much better now (there is some fixed overhead for tests):
{code}
50M2.2 seconds
100M 2.8 seconds
250M 3.7 seconds
500M 7.8 seconds
{code}
was (Author: davies):
The result is much better now (there is some fixed overhead for tests):
{code}
50M2.2 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}
> 50M3 seconds
> 100M 7 seconds
> 250M 33 seconds
> 500M 2 min
> {code}
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[jira] [Comment Edited] (SPARK-13352) BlockFetch does not scale well on large block
[
https://issues.apache.org/jira/browse/SPARK-13352?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15234559#comment-15234559
]
Davies Liu edited comment on SPARK-13352 at 4/11/16 6:35 AM:
-
The result is much better now (there is some fixed overhead for tests):
{code}
50M2.2 seconds
100M 2.8 seconds
250M 3.7 seconds
500M 7.8 min
{code}
was (Author: davies):
The result is much better now:
{code}
50M2.2 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}
> 50M3 seconds
> 100M 7 seconds
> 250M 33 seconds
> 500M 2 min
> {code}
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[jira] [Comment Edited] (SPARK-13352) BlockFetch does not scale well on large block
[
https://issues.apache.org/jira/browse/SPARK-13352?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15234488#comment-15234488
]
Zhang, Liye edited comment on SPARK-13352 at 4/11/16 5:02 AM:
--
Hi [~davies], I think this JIRA is related with
[SPARK-14242|https://issues.apache.org/jira/browse/SPARK-142242] and
[SPARK-14290|https://issues.apache.org/jira/browse/SPARK-14290], can you test
with spark master branch again to see if this issue still exists?
was (Author: liyezhang556520):
Hi [~davies], I think this JIRA is related with
[SPARK-14242|https://issues.apache.org/jira/browse/SPARK-142242] and
[SPARK-14290|https://issues.apache.org/jira/browse/SPARK-14290], can you test
with spark master again to see if this issue still exists?
> 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
>Priority: Critical
>
> 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}
> 50M3 seconds
> 100M 7 seconds
> 250M 33 seconds
> 500M 2 min
> {code}
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[jira] [Comment Edited] (SPARK-13352) BlockFetch does not scale well on large block
[
https://issues.apache.org/jira/browse/SPARK-13352?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15176594#comment-15176594
]
Reynold Xin edited comment on SPARK-13352 at 3/2/16 10:19 PM:
--
I think the proper fix is to break up large blocks into small chunks. Basically
there is no reason why we need to transfer a single, large, consecutive block
of memory.
was (Author: rxin):
I think the proper fix is to break up large blocks into small chunks.
> 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: Spark Core
>Reporter: Davies Liu
>
> 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}
> 50M3 seconds
> 100M 7 seconds
> 250M 33 seconds
> 500M 2 min
> {code}
--
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