spark报错ERROR yarn.ApplicationMaster:

报错如下：

原因：代码里设置的master与yarn提交冲突

解决方式：把本地测试配置master的local[ n ] 注掉

```java
ERROR yarn.ApplicationMaster: Uncaught exception: 
java.util.concurrent.TimeoutException: Futures timed out after [100000 milliseconds]
	at scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:223)
	at scala.concurrent.impl.Promise$DefaultPromise.result(Promise.scala:227)
	at org.apache.spark.util.ThreadUtils$.awaitResult(ThreadUtils.scala:220)
	at org.apache.spark.deploy.yarn.ApplicationMaster.runDriver(ApplicationMaster.scala:447)
	at org.apache.spark.deploy.yarn.ApplicationMaster.run(ApplicationMaster.scala:275)
	at org.apache.spark.deploy.yarn.ApplicationMaster$$anon$3.run(ApplicationMaster.scala:799)
	at org.apache.spark.deploy.yarn.ApplicationMaster$$anon$3.run(ApplicationMaster.scala:798)
	at java.security.AccessController.doPrivileged(Native Method)
	at javax.security.auth.Subject.doAs(Subject.java:422)
	at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1875)
	at org.apache.spark.deploy.yarn.ApplicationMaster$.main(ApplicationMaster.scala:798)
	at org.apache.spark.deploy.yarn.ApplicationMaster.main(ApplicationMaster.scala)
20/06/08 18:29:07 INFO yarn.ApplicationMaster: Final app status: FAILED, exitCode: 13, (reason: Uncaught exception: java.util.concurrent.TimeoutException: Futures timed out after [100000 milliseconds]
	at scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:223)
	at scala.concurrent.impl.Promise$DefaultPromise.result(Promise.scala:227)
	at org.apache.spark.util.ThreadUtils$.awaitResult(ThreadUtils.scala:220)
	at org.apache.spark.deploy.yarn.ApplicationMaster.runDriver(ApplicationMaster.scala:447)
	at org.apache.spark.deploy.yarn.ApplicationMaster.run(ApplicationMaster.scala:275)
	at org.apache.spark.deploy.yarn.ApplicationMaster$$anon$3.run(ApplicationMaster.scala:799)
	at org.apache.spark.deploy.yarn.ApplicationMaster$$anon$3.run(ApplicationMaster.scala:798)
	at java.security.AccessController.doPrivileged(Native Method)
	at javax.security.auth.Subject.doAs(Subject.java:422)
	at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1875)
	at org.apache.spark.deploy.yarn.ApplicationMaster$.main(ApplicationMaster.scala:798)
	at org.apache.spark.deploy.yarn.ApplicationMaster.main(ApplicationMaster.scala)
)
ERROR scheduler.TaskSchedulerImpl: Exception in statusUpdate
java.util.concurrent.RejectedExecutionException: Task org.apache.spark.scheduler.TaskResultGetter$$anon$3@7a6bd63d rejected from java.util.concurrent.ThreadPoolExecutor@33852d19[Terminated, pool size = 0, active threads = 0, queued tasks = 0, completed tasks = 3830]
	at java.util.concurrent.ThreadPoolExecutor$AbortPolicy.rejectedExecution(ThreadPoolExecutor.java:2063)
	at java.util.concurrent.ThreadPoolExecutor.reject(ThreadPoolExecutor.java:830)
	at java.util.concurrent.ThreadPoolExecutor.execute(ThreadPoolExecutor.java:1379)
	at org.apache.spark.scheduler.TaskResultGetter.enqueueSuccessfulTask(TaskResultGetter.scala:61)
	at org.apache.spark.scheduler.TaskSchedulerImpl.liftedTree2$1(TaskSchedulerImpl.scala:553)
	at org.apache.spark.scheduler.TaskSchedulerImpl.statusUpdate(TaskSchedulerImpl.scala:534)
	at org.apache.spark.scheduler.local.LocalEndpoint$$anonfun$receive$1.applyOrElse(LocalSchedulerBackend.scala:67)
	at org.apache.spark.rpc.netty.Inbox$$anonfun$process$1.apply$mcV$sp(Inbox.scala:117)
	at org.apache.spark.rpc.netty.Inbox.safelyCall(Inbox.scala:205)
	at org.apache.spark.rpc.netty.Inbox.process(Inbox.scala:101)
	at org.apache.spark.rpc.netty.Dispatcher$MessageLoop.run(Dispatcher.scala:221)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
	at java.lang.Thread.run(Thread.java:748)
20/06/08 18:29:07 INFO scheduler.TaskSetManager: Starting task 103.0 in stage 68.0 (TID 3832, localhost, executor driver, partition 103, ANY, 8084 bytes)
20/06/08 18:29:07 ERROR netty.Inbox: Ignoring error
java.util.concurrent.RejectedExecutionException: Task org.apache.spark.executor.Executor$TaskRunner@6344de5a rejected from java.util.concurrent.ThreadPoolExecutor@2727ae55[Shutting down, pool size = 1, active threads = 1, queued tasks = 0, completed tasks = 3831]
	at java.util.concurrent.ThreadPoolExecutor$AbortPolicy.rejectedExecution(ThreadPoolExecutor.java:2063)
	at java.util.concurrent.ThreadPoolExecutor.reject(ThreadPoolExecutor.java:830)
	at java.util.concurrent.ThreadPoolExecutor.execute(ThreadPoolExecutor.java:1379)
	at org.apache.spark.executor.Executor.launchTask(Executor.scala:201)
	at org.apache.spark.scheduler.local.LocalEndpoint$$anonfun$reviveOffers$1.apply(LocalSchedulerBackend.scala:88)
	at org.apache.spark.scheduler.local.LocalEndpoint$$anonfun$reviveOffers$1.apply(LocalSchedulerBackend.scala:86)
	at scala.collection.Iterator$class.foreach(Iterator.scala:891)
	at scala.collection.AbstractIterator.foreach(Iterator.scala:1334)
	at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
	at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
	at org.apache.spark.scheduler.local.LocalEndpoint.reviveOffers(LocalSchedulerBackend.scala:86)
	at org.apache.spark.scheduler.local.LocalEndpoint$$anonfun$receive$1.applyOrElse(LocalSchedulerBackend.scala:70)
	at org.apache.spark.rpc.netty.Inbox$$anonfun$process$1.apply$mcV$sp(Inbox.scala:117)
	at org.apache.spark.rpc.netty.Inbox.safelyCall(Inbox.scala:205)
	at org.apache.spark.rpc.netty.Inbox.process(Inbox.scala:101)
	at org.apache.spark.rpc.netty.Dispatcher$MessageLoop.run(Dispatcher.scala:221)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
	at java.lang.Thread.run(Thread.java:748)