[
https://issues.apache.org/jira/browse/SPARK-14065?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
xukun updated SPARK-14065:
--------------------------
Description:
the query like this:
use tpcds_parquet_30720;
drop table temp;
create table temp as select ws_order_number, sum1, sum2, sum1 * sum2
from (select ws_order_number, count(1) as sum1 from web_sales group by
ws_order_number) x
join (select wr_order_number, count(1) as sum2 from web_returns group by
wr_order_number) y
on x.ws_order_number = y.wr_order_number;
Executor log shows GetMapOutputStatuses timeout:
{code:borderStyle=solid}
2016-03-22 11:48:48,388 | WARN | [Executor task launch worker-1] | Error
sending message [message = GetMapOutputStatuses(1)] in 1 attempts |
org.apache.spark.Logging$class.logWarning(Logging.scala:92)
org.apache.spark.rpc.RpcTimeoutException: Futures timed out after [120
seconds]. This timeout is controlled by spark.network.timeout
at
org.apache.spark.rpc.RpcTimeout.org$apache$spark$rpc$RpcTimeout$$createRpcTimeoutException(RpcTimeout.scala:48)
at
org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:63)
at
org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:59)
at
scala.runtime.AbstractPartialFunction.apply(AbstractPartialFunction.scala:33)
at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:76)
at
org.apache.spark.rpc.RpcEndpointRef.askWithRetry(RpcEndpointRef.scala:101)
at
org.apache.spark.rpc.RpcEndpointRef.askWithRetry(RpcEndpointRef.scala:77)
at
org.apache.spark.MapOutputTracker.askTracker(MapOutputTracker.scala:98)
at
org.apache.spark.MapOutputTracker.getMapSizesByExecutorId(MapOutputTracker.scala:156)
at
org.apache.spark.shuffle.hash.HashShuffleReader.read(HashShuffleReader.scala:47)
at
org.apache.spark.sql.execution.ShuffledRowRDD.compute(ShuffledRowRDD.scala:71)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:301)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:265)
at
org.apache.spark.rdd.MapPartitionsWithPreparationRDD.compute(MapPartitionsWithPreparationRDD.scala:63)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:301)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:265)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:301)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:265)
at
org.apache.spark.rdd.MapPartitionsWithPreparationRDD.compute(MapPartitionsWithPreparationRDD.scala:63)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:301)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:265)
at
org.apache.spark.rdd.ZippedPartitionsRDD2.compute(ZippedPartitionsRDD.scala:99)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:301)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:265)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:301)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:265)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:301)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:265)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:68)
at org.apache.spark.scheduler.Task.run(Task.scala:90)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:229)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.util.concurrent.TimeoutException: Futures timed out after [120
seconds]
at scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:219)
at
scala.concurrent.impl.Promise$DefaultPromise.result(Promise.scala:223)
at scala.concurrent.Await$$anonfun$result$1.apply(package.scala:107)
at
scala.concurrent.BlockContext$DefaultBlockContext$.blockOn(BlockContext.scala:53)
at scala.concurrent.Await$.result(package.scala:107)
at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:75)
... 32 more
2016-03-22 11:48:52,044 | INFO | [Executor task launch worker-1] | Got the
output locations | org.apache.spark.Logging$class.logInfo(Logging.scala:59)
{code}
Driver log shows serialize mapStatus is serial
{code:borderStyle=solid}
Line 192882: 16/03/22 11:46:54 INFO [dispatcher-event-loop-25]
MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063 bytes
Line 192914: 16/03/22 11:47:01 INFO [dispatcher-event-loop-7]
MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063 bytes
Line 192917: 16/03/22 11:47:07 INFO [dispatcher-event-loop-36]
MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063 bytes
Line 192957: 16/03/22 11:47:14 INFO [dispatcher-event-loop-30]
MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063 bytes
Line 193139: 16/03/22 11:47:21 INFO [dispatcher-event-loop-3]
MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063 bytes
Line 193262: 16/03/22 11:47:27 INFO [dispatcher-event-loop-32]
MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063 bytes
Line 193440: 16/03/22 11:47:34 INFO [dispatcher-event-loop-31]
MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063 bytes
Line 193544: 16/03/22 11:47:41 INFO [dispatcher-event-loop-38]
MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063 bytes
Line 193700: 16/03/22 11:47:47 INFO [dispatcher-event-loop-4]
MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063 bytes
Line 193873: 16/03/22 11:47:54 INFO [dispatcher-event-loop-37]
MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063 bytes
Line 194013: 16/03/22 11:48:00 INFO [dispatcher-event-loop-28]
MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063 bytes
Line 194150: 16/03/22 11:48:07 INFO [dispatcher-event-loop-14]
MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063 bytes
Line 194327: 16/03/22 11:48:14 INFO [dispatcher-event-loop-19]
MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063 bytes
Line 194456: 16/03/22 11:48:20 INFO [dispatcher-event-loop-21]
MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063 bytes
Line 194549: 16/03/22 11:48:27 INFO [dispatcher-event-loop-0]
MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063 bytes
Line 194589: 16/03/22 11:48:34 INFO [dispatcher-event-loop-12]
MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063 bytes
Line 194595: 16/03/22 11:48:40 INFO [dispatcher-event-loop-1]
MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063 bytes
Line 194601: 16/03/22 11:48:47 INFO [dispatcher-event-loop-18]
MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063 bytes
Line 194629: 16/03/22 11:48:53 INFO [dispatcher-event-loop-13]
MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063 bytes
Line 194646: 16/03/22 11:48:59 INFO [dispatcher-event-loop-2]
MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063 bytes
Line 194721: 16/03/22 11:49:06 INFO [dispatcher-event-loop-27]
MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063 bytes
Line 194749: 16/03/22 11:49:13 INFO [dispatcher-event-loop-23]
MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063 bytes
Line 195608: 16/03/22 11:49:19 INFO [dispatcher-event-loop-26]
MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063 bytes
Line 195776: spark-sql> 16/03/22 11:49:26 INFO
[dispatcher-event-loop-24] MapOutputTrackerMaster: Size of output statuses for
shuffle 1 is 10298063 bytes
Line 195777: 16/03/22 11:49:32 INFO [dispatcher-event-loop-29]
MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063 bytes
Line 195778: 16/03/22 11:49:39 INFO [dispatcher-event-loop-33]
MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063 bytes
{code}
I put serializeMapStatuses function into epochLock.synchronized { }, it solve
this problem.
But it has other question: serialize Mapstatus from different shuffle stage
will be serial model.
Any advice?
was:
the query like this:
{code:title=Bar.java|borderStyle=solid}
use tpcds_parquet_30720;
drop table temp;
create table temp as select ws_order_number, sum1, sum2, sum1 * sum2
from (select ws_order_number, count(1) as sum1 from web_sales group by
ws_order_number) x
join (select wr_order_number, count(1) as sum2 from web_returns group by
wr_order_number) y
on x.ws_order_number = y.wr_order_number;
{code}
Executor log shows GetMapOutputStatuses timeout:
```
2016-03-22 11:48:48,388 | WARN | [Executor task launch worker-1] | Error
sending message [message = GetMapOutputStatuses(1)] in 1 attempts |
org.apache.spark.Logging$class.logWarning(Logging.scala:92)
org.apache.spark.rpc.RpcTimeoutException: Futures timed out after [120
seconds]. This timeout is controlled by spark.network.timeout
at
org.apache.spark.rpc.RpcTimeout.org$apache$spark$rpc$RpcTimeout$$createRpcTimeoutException(RpcTimeout.scala:48)
at
org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:63)
at
org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:59)
at
scala.runtime.AbstractPartialFunction.apply(AbstractPartialFunction.scala:33)
at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:76)
at
org.apache.spark.rpc.RpcEndpointRef.askWithRetry(RpcEndpointRef.scala:101)
at
org.apache.spark.rpc.RpcEndpointRef.askWithRetry(RpcEndpointRef.scala:77)
at
org.apache.spark.MapOutputTracker.askTracker(MapOutputTracker.scala:98)
at
org.apache.spark.MapOutputTracker.getMapSizesByExecutorId(MapOutputTracker.scala:156)
at
org.apache.spark.shuffle.hash.HashShuffleReader.read(HashShuffleReader.scala:47)
at
org.apache.spark.sql.execution.ShuffledRowRDD.compute(ShuffledRowRDD.scala:71)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:301)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:265)
at
org.apache.spark.rdd.MapPartitionsWithPreparationRDD.compute(MapPartitionsWithPreparationRDD.scala:63)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:301)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:265)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:301)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:265)
at
org.apache.spark.rdd.MapPartitionsWithPreparationRDD.compute(MapPartitionsWithPreparationRDD.scala:63)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:301)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:265)
at
org.apache.spark.rdd.ZippedPartitionsRDD2.compute(ZippedPartitionsRDD.scala:99)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:301)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:265)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:301)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:265)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:301)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:265)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:68)
at org.apache.spark.scheduler.Task.run(Task.scala:90)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:229)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.util.concurrent.TimeoutException: Futures timed out after [120
seconds]
at scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:219)
at
scala.concurrent.impl.Promise$DefaultPromise.result(Promise.scala:223)
at scala.concurrent.Await$$anonfun$result$1.apply(package.scala:107)
at
scala.concurrent.BlockContext$DefaultBlockContext$.blockOn(BlockContext.scala:53)
at scala.concurrent.Await$.result(package.scala:107)
at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:75)
... 32 more
2016-03-22 11:48:52,044 | INFO | [Executor task launch worker-1] | Got the
output locations | org.apache.spark.Logging$class.logInfo(Logging.scala:59)
```
Driver log shows serialize mapStatus is serial
```
Line 192882: 16/03/22 11:46:54 INFO [dispatcher-event-loop-25]
MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063 bytes
Line 192914: 16/03/22 11:47:01 INFO [dispatcher-event-loop-7]
MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063 bytes
Line 192917: 16/03/22 11:47:07 INFO [dispatcher-event-loop-36]
MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063 bytes
Line 192957: 16/03/22 11:47:14 INFO [dispatcher-event-loop-30]
MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063 bytes
Line 193139: 16/03/22 11:47:21 INFO [dispatcher-event-loop-3]
MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063 bytes
Line 193262: 16/03/22 11:47:27 INFO [dispatcher-event-loop-32]
MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063 bytes
Line 193440: 16/03/22 11:47:34 INFO [dispatcher-event-loop-31]
MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063 bytes
Line 193544: 16/03/22 11:47:41 INFO [dispatcher-event-loop-38]
MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063 bytes
Line 193700: 16/03/22 11:47:47 INFO [dispatcher-event-loop-4]
MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063 bytes
Line 193873: 16/03/22 11:47:54 INFO [dispatcher-event-loop-37]
MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063 bytes
Line 194013: 16/03/22 11:48:00 INFO [dispatcher-event-loop-28]
MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063 bytes
Line 194150: 16/03/22 11:48:07 INFO [dispatcher-event-loop-14]
MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063 bytes
Line 194327: 16/03/22 11:48:14 INFO [dispatcher-event-loop-19]
MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063 bytes
Line 194456: 16/03/22 11:48:20 INFO [dispatcher-event-loop-21]
MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063 bytes
Line 194549: 16/03/22 11:48:27 INFO [dispatcher-event-loop-0]
MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063 bytes
Line 194589: 16/03/22 11:48:34 INFO [dispatcher-event-loop-12]
MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063 bytes
Line 194595: 16/03/22 11:48:40 INFO [dispatcher-event-loop-1]
MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063 bytes
Line 194601: 16/03/22 11:48:47 INFO [dispatcher-event-loop-18]
MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063 bytes
Line 194629: 16/03/22 11:48:53 INFO [dispatcher-event-loop-13]
MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063 bytes
Line 194646: 16/03/22 11:48:59 INFO [dispatcher-event-loop-2]
MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063 bytes
Line 194721: 16/03/22 11:49:06 INFO [dispatcher-event-loop-27]
MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063 bytes
Line 194749: 16/03/22 11:49:13 INFO [dispatcher-event-loop-23]
MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063 bytes
Line 195608: 16/03/22 11:49:19 INFO [dispatcher-event-loop-26]
MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063 bytes
Line 195776: spark-sql> 16/03/22 11:49:26 INFO
[dispatcher-event-loop-24] MapOutputTrackerMaster: Size of output statuses for
shuffle 1 is 10298063 bytes
Line 195777: 16/03/22 11:49:32 INFO [dispatcher-event-loop-29]
MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063 bytes
Line 195778: 16/03/22 11:49:39 INFO [dispatcher-event-loop-33]
MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063 bytes
```
I put serializeMapStatuses function into epochLock.synchronized { }, it solve
this problem.
But it has other question: serialize Mapstatus from different shuffle stage
will be serial model.
Any advice?
> serialize MapStatuses in serial model
> -------------------------------------
>
> Key: SPARK-14065
> URL: https://issues.apache.org/jira/browse/SPARK-14065
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core
> Reporter: xukun
>
> the query like this:
> use tpcds_parquet_30720;
> drop table temp;
> create table temp as select ws_order_number, sum1, sum2, sum1 * sum2
> from (select ws_order_number, count(1) as sum1 from web_sales group by
> ws_order_number) x
> join (select wr_order_number, count(1) as sum2 from web_returns group by
> wr_order_number) y
> on x.ws_order_number = y.wr_order_number;
> Executor log shows GetMapOutputStatuses timeout:
> {code:borderStyle=solid}
> 2016-03-22 11:48:48,388 | WARN | [Executor task launch worker-1] | Error
> sending message [message = GetMapOutputStatuses(1)] in 1 attempts |
> org.apache.spark.Logging$class.logWarning(Logging.scala:92)
> org.apache.spark.rpc.RpcTimeoutException: Futures timed out after [120
> seconds]. This timeout is controlled by spark.network.timeout
> at
> org.apache.spark.rpc.RpcTimeout.org$apache$spark$rpc$RpcTimeout$$createRpcTimeoutException(RpcTimeout.scala:48)
> at
> org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:63)
> at
> org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:59)
> at
> scala.runtime.AbstractPartialFunction.apply(AbstractPartialFunction.scala:33)
> at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:76)
> at
> org.apache.spark.rpc.RpcEndpointRef.askWithRetry(RpcEndpointRef.scala:101)
> at
> org.apache.spark.rpc.RpcEndpointRef.askWithRetry(RpcEndpointRef.scala:77)
> at
> org.apache.spark.MapOutputTracker.askTracker(MapOutputTracker.scala:98)
> at
> org.apache.spark.MapOutputTracker.getMapSizesByExecutorId(MapOutputTracker.scala:156)
> at
> org.apache.spark.shuffle.hash.HashShuffleReader.read(HashShuffleReader.scala:47)
> at
> org.apache.spark.sql.execution.ShuffledRowRDD.compute(ShuffledRowRDD.scala:71)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:301)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:265)
> at
> org.apache.spark.rdd.MapPartitionsWithPreparationRDD.compute(MapPartitionsWithPreparationRDD.scala:63)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:301)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:265)
> at
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:301)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:265)
> at
> org.apache.spark.rdd.MapPartitionsWithPreparationRDD.compute(MapPartitionsWithPreparationRDD.scala:63)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:301)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:265)
> at
> org.apache.spark.rdd.ZippedPartitionsRDD2.compute(ZippedPartitionsRDD.scala:99)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:301)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:265)
> at
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:301)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:265)
> at
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:301)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:265)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:68)
> at org.apache.spark.scheduler.Task.run(Task.scala:90)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:229)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> Caused by: java.util.concurrent.TimeoutException: Futures timed out after
> [120 seconds]
> at scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:219)
> at
> scala.concurrent.impl.Promise$DefaultPromise.result(Promise.scala:223)
> at scala.concurrent.Await$$anonfun$result$1.apply(package.scala:107)
> at
> scala.concurrent.BlockContext$DefaultBlockContext$.blockOn(BlockContext.scala:53)
> at scala.concurrent.Await$.result(package.scala:107)
> at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:75)
> ... 32 more
> 2016-03-22 11:48:52,044 | INFO | [Executor task launch worker-1] | Got the
> output locations | org.apache.spark.Logging$class.logInfo(Logging.scala:59)
> {code}
> Driver log shows serialize mapStatus is serial
> {code:borderStyle=solid}
> Line 192882: 16/03/22 11:46:54 INFO [dispatcher-event-loop-25]
> MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063
> bytes
> Line 192914: 16/03/22 11:47:01 INFO [dispatcher-event-loop-7]
> MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063
> bytes
> Line 192917: 16/03/22 11:47:07 INFO [dispatcher-event-loop-36]
> MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063
> bytes
> Line 192957: 16/03/22 11:47:14 INFO [dispatcher-event-loop-30]
> MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063
> bytes
> Line 193139: 16/03/22 11:47:21 INFO [dispatcher-event-loop-3]
> MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063
> bytes
> Line 193262: 16/03/22 11:47:27 INFO [dispatcher-event-loop-32]
> MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063
> bytes
> Line 193440: 16/03/22 11:47:34 INFO [dispatcher-event-loop-31]
> MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063
> bytes
> Line 193544: 16/03/22 11:47:41 INFO [dispatcher-event-loop-38]
> MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063
> bytes
> Line 193700: 16/03/22 11:47:47 INFO [dispatcher-event-loop-4]
> MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063
> bytes
> Line 193873: 16/03/22 11:47:54 INFO [dispatcher-event-loop-37]
> MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063
> bytes
> Line 194013: 16/03/22 11:48:00 INFO [dispatcher-event-loop-28]
> MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063
> bytes
> Line 194150: 16/03/22 11:48:07 INFO [dispatcher-event-loop-14]
> MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063
> bytes
> Line 194327: 16/03/22 11:48:14 INFO [dispatcher-event-loop-19]
> MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063
> bytes
> Line 194456: 16/03/22 11:48:20 INFO [dispatcher-event-loop-21]
> MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063
> bytes
> Line 194549: 16/03/22 11:48:27 INFO [dispatcher-event-loop-0]
> MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063
> bytes
> Line 194589: 16/03/22 11:48:34 INFO [dispatcher-event-loop-12]
> MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063
> bytes
> Line 194595: 16/03/22 11:48:40 INFO [dispatcher-event-loop-1]
> MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063
> bytes
> Line 194601: 16/03/22 11:48:47 INFO [dispatcher-event-loop-18]
> MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063
> bytes
> Line 194629: 16/03/22 11:48:53 INFO [dispatcher-event-loop-13]
> MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063
> bytes
> Line 194646: 16/03/22 11:48:59 INFO [dispatcher-event-loop-2]
> MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063
> bytes
> Line 194721: 16/03/22 11:49:06 INFO [dispatcher-event-loop-27]
> MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063
> bytes
> Line 194749: 16/03/22 11:49:13 INFO [dispatcher-event-loop-23]
> MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063
> bytes
> Line 195608: 16/03/22 11:49:19 INFO [dispatcher-event-loop-26]
> MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063
> bytes
> Line 195776: spark-sql> 16/03/22 11:49:26 INFO
> [dispatcher-event-loop-24] MapOutputTrackerMaster: Size of output statuses
> for shuffle 1 is 10298063 bytes
> Line 195777: 16/03/22 11:49:32 INFO [dispatcher-event-loop-29]
> MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063
> bytes
> Line 195778: 16/03/22 11:49:39 INFO [dispatcher-event-loop-33]
> MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 10298063
> bytes
> {code}
> I put serializeMapStatuses function into epochLock.synchronized { }, it solve
> this problem.
> But it has other question: serialize Mapstatus from different shuffle stage
> will be serial model.
> Any advice?
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