[jira] [Commented] (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=15245209#comment-15245209
]
Davies Liu commented on SPARK-13352:
corrected, thanks
> 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] [Commented] (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=15236426#comment-15236426
]
Zhang, Liye commented on SPARK-13352:
-
[~davies], the last result for 500M should be 7.8 seconds, not 7.8 min, right?
> 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] [Commented] (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=15234668#comment-15234668
]
Apache Spark commented on SPARK-13352:
--
User 'liyezhang556520' has created a pull request for this issue:
https://github.com/apache/spark/pull/12296
> 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: 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] [Commented] (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 commented on SPARK-13352:
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] [Commented] (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 commented on SPARK-13352:
-
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] [Commented] (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=1503#comment-1503
]
Davies Liu commented on SPARK-13352:
cc [~adav]
> 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
>
> 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] [Commented] (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=15222199#comment-15222199
]
Davies Liu commented on SPARK-13352:
After more investigating, it turned out that the block fetcher in 1.6+ is two
times slower than that in 1.5, it took 44 seconds to fetch a 289M block (22
seconds in 1.5).
1.5
{code}
16/04/01 11:58:33 DEBUG BlockManager: Getting block taskresult_5 from memory
16/04/01 11:58:34 DEBUG TransportClient: Sending fetch chunk request 0 to
localhost/127.0.0.1:54202
16/04/01 11:58:35 DEBUG Cleaner0: java.nio.ByteBuffer.cleaner(): available
16/04/01 11:58:56 DEBUG BlockManagerSlaveEndpoint: removing block taskresult_5
16/04/01 11:58:56 DEBUG BlockManager: Removing block taskresult_5
16/04/01 11:58:56 DEBUG MemoryStore: Block taskresult_5 of size 289281861
dropped from memory (free 933912)
16/04/01 11:58:56 INFO BlockManagerInfo: Removed taskresult_5 on
localhost:54202 in memory (size: 275.9 MB, free: 2.1 GB)
16/04/01 11:58:56 DEBUG BlockManagerMaster: Updated info of block taskresult_5
16/04/01 11:58:56 DEBUG BlockManager: Told master about block taskresult_5
16/04/01 11:58:56 DEBUG BlockManagerSlaveEndpoint: Done removing block
taskresult_5, response is true
16/04/01 11:58:56 DEBUG BlockManagerSlaveEndpoint: Sent response: true to
AkkaRpcEndpointRef(Actor[akka://sparkDriver/temp/$I])
{code}
In 1.6 or master
{code}
16/04/01 11:55:47 DEBUG BlockManager: Getting remote block taskresult_5 as bytes
16/04/01 11:55:47 DEBUG BlockManager: Getting remote block taskresult_5 from
BlockManagerId(driver, localhost, 54181)
16/04/01 11:55:47 DEBUG TransportClientFactory: Creating new connection to
localhost/127.0.0.1:54181
16/04/01 11:55:47 DEBUG ResourceLeakDetector: -Dio.netty.leakDetectionLevel:
simple
16/04/01 11:55:47 DEBUG TransportClientFactory: Connection to
localhost/127.0.0.1:54181 successful, running bootstraps...
16/04/01 11:55:47 DEBUG TransportClientFactory: Successfully created connection
to localhost/127.0.0.1:54181 after 31 ms (0 ms spent in bootstraps)
16/04/01 11:55:47 DEBUG Recycler: -Dio.netty.recycler.maxCapacity.default:
262144
16/04/01 11:55:47 DEBUG BlockManager: Level for block taskresult_5 is
StorageLevel(true, true, false, false, 1)
16/04/01 11:55:47 DEBUG BlockManager: Getting block taskresult_5 from memory
16/04/01 11:55:48 DEBUG TransportClient: Sending fetch chunk request 0 to
localhost/127.0.0.1:54181
16/04/01 11:55:58 DEBUG Cleaner0: java.nio.ByteBuffer.cleaner(): available
16/04/01 11:56:31 DEBUG BlockManagerSlaveEndpoint: removing block taskresult_5
16/04/01 11:56:31 DEBUG BlockManager: Removing block taskresult_5
16/04/01 11:56:31 DEBUG MemoryStore: Block taskresult_5 of size 289281861
dropped from memory (free 2851511312)
16/04/01 11:56:31 INFO BlockManagerInfo: Removed taskresult_5 on
localhost:54181 in memory (size: 275.9 MB, free: 2.7 GB)
16/04/01 11:56:31 DEBUG BlockManagerMaster: Updated info of block taskresult_5
16/04/01 11:56:31 DEBUG BlockManager: Told master about block taskresult_5
16/04/01 11:56:31 DEBUG BlockManagerSlaveEndpoint: Done removing block
taskresult_5, response is true
16/04/01 11:56:31 DEBUG BlockManagerSlaveEndpoint: Sent response: true to
192.168.0.143:54179
{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
>
> 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] [Commented] (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 commented on SPARK-13352:
-
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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[jira] [Commented] (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=15176589#comment-15176589
]
Davies Liu commented on SPARK-13352:
[~rxin] Can someone help to look into this one?
This is one of the reasons broadcast hash join is slow with large broadcast.
> 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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