pan3793 opened a new pull request, #38622:
URL: https://github.com/apache/spark/pull/38622
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### What changes were proposed in this pull request?
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Treating container `AllocationFailure` as not "exitCausedByApp" when driver
is shutting down.
The approach is suggested at
https://github.com/apache/spark/pull/36991#discussion_r915948343
### Why are the changes needed?
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1. If you propose a new API, clarify the use case for a new API.
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I observed some Spark Applications successfully completed all jobs but
failed during the shutting down phase w/ reason: Max number of executor
failures (16) reached, the timeline is
Driver - Job success, Spark starts shutting down procedure.
```
2022-06-23 19:50:55 CST AbstractConnector INFO - Stopped
Spark@74e9431b{HTTP/1.1, (http/1.1)}{0.0.0.0:0}
2022-06-23 19:50:55 CST SparkUI INFO - Stopped Spark web UI at
http://hadoop2627.xxx.org:28446
2022-06-23 19:50:55 CST YarnClusterSchedulerBackend INFO - Shutting down all
executors
```
Driver - A container allocate successful during shutting down phase.
```
2022-06-23 19:52:21 CST YarnAllocator INFO - Launching container
container_e94_1649986670278_7743380_02_000025 on host hadoop4388.xxx.org for
executor with ID 24 for ResourceProfile Id 0
```
Executor - The executor can not connect to driver endpoint because driver
already stopped the endpoint.
```
Exception in thread "main" java.lang.reflect.UndeclaredThrowableException
at
org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1911)
at
org.apache.spark.deploy.SparkHadoopUtil.runAsSparkUser(SparkHadoopUtil.scala:61)
at
org.apache.spark.executor.CoarseGrainedExecutorBackend$.run(CoarseGrainedExecutorBackend.scala:393)
at
org.apache.spark.executor.YarnCoarseGrainedExecutorBackend$.main(YarnCoarseGrainedExecutorBackend.scala:81)
at
org.apache.spark.executor.YarnCoarseGrainedExecutorBackend.main(YarnCoarseGrainedExecutorBackend.scala)
Caused by: org.apache.spark.SparkException: Exception thrown in awaitResult:
at org.apache.spark.util.ThreadUtils$.awaitResult(ThreadUtils.scala:301)
at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:75)
at org.apache.spark.rpc.RpcEnv.setupEndpointRefByURI(RpcEnv.scala:101)
at
org.apache.spark.executor.CoarseGrainedExecutorBackend$.$anonfun$run$9(CoarseGrainedExecutorBackend.scala:413)
at scala.runtime.java8.JFunction1$mcVI$sp.apply(JFunction1$mcVI$sp.java:23)
at
scala.collection.TraversableLike$WithFilter.$anonfun$foreach$1(TraversableLike.scala:877)
at scala.collection.immutable.Range.foreach(Range.scala:158)
at
scala.collection.TraversableLike$WithFilter.foreach(TraversableLike.scala:876)
at
org.apache.spark.executor.CoarseGrainedExecutorBackend$.$anonfun$run$7(CoarseGrainedExecutorBackend.scala:411)
at
org.apache.spark.deploy.SparkHadoopUtil$$anon$1.run(SparkHadoopUtil.scala:62)
at
org.apache.spark.deploy.SparkHadoopUtil$$anon$1.run(SparkHadoopUtil.scala:61)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at
org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1893)
... 4 more
Caused by: org.apache.spark.rpc.RpcEndpointNotFoundException: Cannot find
endpoint: spark://coarsegrainedschedu...@hadoop2627.xxx.org:21956
at
org.apache.spark.rpc.netty.NettyRpcEnv.$anonfun$asyncSetupEndpointRefByURI$1(NettyRpcEnv.scala:148)
at
org.apache.spark.rpc.netty.NettyRpcEnv.$anonfun$asyncSetupEndpointRefByURI$1$adapted(NettyRpcEnv.scala:144)
at scala.concurrent.Future.$anonfun$flatMap$1(Future.scala:307)
at scala.concurrent.impl.Promise.$anonfun$transformWith$1(Promise.scala:41)
at scala.concurrent.impl.CallbackRunnable.run(Promise.scala:64)
at org.apache.spark.util.ThreadUtils$$anon$1.execute(ThreadUtils.scala:99)
at
scala.concurrent.impl.ExecutionContextImpl$$anon$4.execute(ExecutionContextImpl.scala:138)
at
scala.concurrent.impl.CallbackRunnable.executeWithValue(Promise.scala:72)
at
scala.concurrent.impl.Promise$DefaultPromise.$anonfun$tryComplete$1(Promise.scala:288)
at
scala.concurrent.impl.Promise$DefaultPromise.$anonfun$tryComplete$1$adapted(Promise.scala:288)
at
scala.concurrent.impl.Promise$DefaultPromise.tryComplete(Promise.scala:288)
```
Driver - YarnAllocator received container launch error message and treat it
as `exitCausedByApp`
```
2022-06-23 19:52:27 CST YarnAllocator INFO - Completed container
container_e94_1649986670278_7743380_02_000025 on host: hadoop4388.xxx.org
(state: COMPLETE, exit status: 1)
2022-06-23 19:52:27 CST YarnAllocator WARN - Container from a bad node:
container_e94_1649986670278_7743380_02_000025 on host: hadoop4388.xxx.org. Exit
status: 1. Diagnostics: [2022-06-23 19:52:24.932]Exception from
container-launch.
Container id: container_e94_1649986670278_7743380_02_000025
Exit code: 1
Shell output: main : command provided 1
main : run as user is bdms_pm
main : requested yarn user is bdms_pm
Getting exit code file...
Creating script paths...
Writing pid file...
Writing to tmp file
/mnt/dfs/2/yarn/local/nmPrivate/application_1649986670278_7743380/container_e94_1649986670278_7743380_02_000025/container_e94_1649986670278_7743380_02_000025.pid.tmp
Writing to cgroup task files...
Creating local dirs...
Launching container...
Getting exit code file...
Creating script paths...
[2022-06-23 19:52:24.938]Container exited with a non-zero exit code 1. Error
file: prelaunch.err.
Last 4096 bytes of prelaunch.err :
Last 4096 bytes of stderr :
at
scala.concurrent.Future$InternalCallbackExecutor$.execute(Future.scala:873)
at
scala.concurrent.impl.CallbackRunnable.executeWithValue(Promise.scala:72)
at
scala.concurrent.impl.Promise$DefaultPromise.$anonfun$tryComplete$1(Promise.scala:288)
at
scala.concurrent.impl.Promise$DefaultPromise.$anonfun$tryComplete$1$adapted(Promise.scala:288)
at
scala.concurrent.impl.Promise$DefaultPromise.tryComplete(Promise.scala:288)
at scala.concurrent.Promise.trySuccess(Promise.scala:94)
at scala.concurrent.Promise.trySuccess$(Promise.scala:94)
at
scala.concurrent.impl.Promise$DefaultPromise.trySuccess(Promise.scala:187)
at
org.apache.spark.rpc.netty.NettyRpcEnv.onSuccess$1(NettyRpcEnv.scala:225)
at
org.apache.spark.rpc.netty.NettyRpcEnv.$anonfun$askAbortable$7(NettyRpcEnv.scala:246)
at
org.apache.spark.rpc.netty.NettyRpcEnv.$anonfun$askAbortable$7$adapted(NettyRpcEnv.scala:246)
at org.apache.spark.rpc.netty.RpcOutboxMessage.onSuccess(Outbox.scala:90)
at
org.apache.spark.network.client.TransportResponseHandler.handle(TransportResponseHandler.java:195)
at
org.apache.spark.network.server.TransportChannelHandler.channelRead0(TransportChannelHandler.java:142)
at
org.apache.spark.network.server.TransportChannelHandler.channelRead0(TransportChannelHandler.java:53)
at
io.netty.channel.SimpleChannelInboundHandler.channelRead(SimpleChannelInboundHandler.java:99)
at
io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:379)
at
io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:365)
```
Driver - Eventually application failed because ”failed“ executor reached
threshold
```
2022-06-23 19:52:30 CST ApplicationMaster INFO - Final app status: FAILED,
exitCode: 11, (reason: Max number of executor failures (16) reached)
```
### Does this PR introduce _any_ user-facing change?
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No.
### How was this patch tested?
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Update UT.
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