spark-instrumented-optimizer/core
KaiXinXiaoLei 674eb2a4c3 [SPARK-8974] Catch exceptions in allocation schedule task.
I meet a problem. When I submit some tasks, the thread spark-dynamic-executor-allocation should seed the message about "requestTotalExecutors", and the new executor should start. But I meet a problem about this thread, like:

2015-07-14 19:02:17,461 | WARN  | [spark-dynamic-executor-allocation] | Error sending message [message = RequestExecutors(1)] in 1 attempts
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$$anonfun$result$1.apply(package.scala:107)
        at scala.concurrent.BlockContext$DefaultBlockContext$.blockOn(BlockContext.scala:53)
        at scala.concurrent.Await$.result(package.scala:107)
        at org.apache.spark.rpc.RpcEndpointRef.askWithRetry(RpcEndpointRef.scala:102)
        at org.apache.spark.rpc.RpcEndpointRef.askWithRetry(RpcEndpointRef.scala:78)
        at org.apache.spark.scheduler.cluster.YarnSchedulerBackend.doRequestTotalExecutors(YarnSchedulerBackend.scala:57)
        at org.apache.spark.scheduler.cluster.CoarseGrainedSchedulerBackend.requestTotalExecutors(CoarseGrainedSchedulerBackend.scala:351)
        at org.apache.spark.SparkContext.requestTotalExecutors(SparkContext.scala:1382)
        at org.apache.spark.ExecutorAllocationManager.addExecutors(ExecutorAllocationManager.scala:343)
        at org.apache.spark.ExecutorAllocationManager.updateAndSyncNumExecutorsTarget(ExecutorAllocationManager.scala:295)
        at org.apache.spark.ExecutorAllocationManager.org$apache$spark$ExecutorAllocationManager$$schedule(ExecutorAllocationManager.scala:248)

when after some minutes, I find a new ApplicationMaster start,  and tasks submitted start to run. The tasks Completed. And after long time (eg, ten minutes), the number of executor  does not reduce to zero.  I use the default value of "spark.dynamicAllocation.minExecutors".

Author: KaiXinXiaoLei <huleilei1@huawei.com>

Closes #7352 from KaiXinXiaoLei/dym and squashes the following commits:

3603631 [KaiXinXiaoLei] change logError to logWarning
efc4f24 [KaiXinXiaoLei] change file
2015-07-15 22:31:10 +01:00
..
src [SPARK-8974] Catch exceptions in allocation schedule task. 2015-07-15 22:31:10 +01:00
pom.xml [SPARK-6602][Core]Replace Akka Serialization with Spark Serializer 2015-07-15 14:02:23 -07:00