无论用YARN cluster和YARN client来跑，均会出现如下问题。
[spark@master spark-1.6.1-bin-hadoop2.6]$ jps 2049 NameNode 2706 Jps 2372 ResourceManager 2660 Master 2203 SecondaryNameNode [spark@master spark-1.6.1-bin-hadoop2.6]$ $SPARK_HOME/bin/spark-submit > --master yarn > --deploy-mode client > --name javawordcount > --num-executors 1 > --driver-memory 512m > --executor-memory 512m > --executor-cores 1 > --class zhouls.bigdata.MyJavaWordCount > /home/spark/testspark/mySpark-1.0-SNAPSHOT.jar > hdfs://master:9000/testspark/inputData/wordcount/wc.txt > hdfs://master:9000/testspark/outData/MyJavaWordCount 17/03/30 20:36:57 INFO spark.SparkContext: Running Spark version 1.6.1 17/03/30 20:36:58 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable 17/03/30 20:36:59 INFO spark.SecurityManager: Changing view acls to: spark 17/03/30 20:36:59 INFO spark.SecurityManager: Changing modify acls to: spark 17/03/30 20:36:59 INFO spark.SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(spark); users with modify permissions: Set(spark) 17/03/30 20:37:01 INFO util.Utils: Successfully started service 'sparkDriver' on port 54074. 17/03/30 20:37:03 INFO slf4j.Slf4jLogger: Slf4jLogger started 17/03/30 20:37:03 INFO Remoting: Starting remoting 17/03/30 20:37:04 INFO Remoting: Remoting started; listening on addresses :[akka.tcp://sparkDriverActorSystem@192.168.80.10:52224] 17/03/30 20:37:04 INFO util.Utils: Successfully started service 'sparkDriverActorSystem' on port 52224. 17/03/30 20:37:04 INFO spark.SparkEnv: Registering MapOutputTracker 17/03/30 20:37:04 INFO spark.SparkEnv: Registering BlockManagerMaster 17/03/30 20:37:04 INFO storage.DiskBlockManager: Created local directory at /tmp/blockmgr-b6575213-cc8e-4a50-bc83-6ab089a65341 17/03/30 20:37:04 INFO storage.MemoryStore: MemoryStore started with capacity 146.2 MB 17/03/30 20:37:05 INFO spark.SparkEnv: Registering OutputCommitCoordinator
17/03/30 20:37:06 INFO server.Server: jetty-8.y.z-SNAPSHOT
17/03/30 20:37:06 INFO server.AbstractConnector: Started SelectChannelConnector@0.0.0.0:4040
17/03/30 20:37:06 INFO util.Utils: Successfully started service 'SparkUI' on port 4040.
17/03/30 20:37:06 INFO ui.SparkUI: Started SparkUI at http://192.168.80.10:4040
17/03/30 20:37:06 INFO spark.HttpFileServer: HTTP File server directory is /tmp/spark-fdfdb880-f6cf-47eb-8981-1176e657d466/httpd-f5d25b97-30bd-4f13-b925-d96026063a63
17/03/30 20:37:06 INFO spark.HttpServer: Starting HTTP Server
17/03/30 20:37:06 INFO server.Server: jetty-8.y.z-SNAPSHOT
17/03/30 20:37:06 INFO server.AbstractConnector: Started SocketConnector@0.0.0.0:54651
17/03/30 20:37:06 INFO util.Utils: Successfully started service 'HTTP file server' on port 54651.
17/03/30 20:37:07 INFO spark.SparkContext: Added JAR file:/home/spark/testspark/mySpark-1.0-SNAPSHOT.jar at http://192.168.80.10:54651/jars/mySpark-1.0-SNAPSHOT.jar with timestamp 1490877427613
17/03/30 20:37:08 INFO client.RMProxy: Connecting to ResourceManager at master/192.168.80.10:8032
17/03/30 20:37:09 INFO yarn.Client: Requesting a new application from cluster with 2 NodeManagers
17/03/30 20:37:09 INFO yarn.Client: Verifying our application has not requested more than the maximum memory capability of the cluster (8192 MB per container)
17/03/30 20:37:09 INFO yarn.Client: Will allocate AM container, with 896 MB memory including 384 MB overhead
17/03/30 20:37:09 INFO yarn.Client: Setting up container launch context for our AM
17/03/30 20:37:09 INFO yarn.Client: Setting up the launch environment for our AM container
17/03/30 20:37:09 INFO yarn.Client: Preparing resources for our AM container
17/03/30 20:37:14 INFO yarn.Client: Uploading resource file:/usr/local/spark/spark-1.6.1-bin-hadoop2.6/lib/spark-assembly-1.6.1-hadoop2.6.0.jar -> hdfs://master:9000/user/spark/.sparkStaging/application_1490877371054_0001/spark-assembly-1.6.1-hadoop2.6.0.jar
17/03/30 20:37:36 INFO yarn.Client: Uploading resource file:/tmp/spark-fdfdb880-f6cf-47eb-8981-1176e657d466/__spark_conf__3748671039525906996.zip -> hdfs://master:9000/user/spark/.sparkStaging/application_1490877371054_0001/__spark_conf__3748671039525906996.zip
17/03/30 20:37:38 INFO spark.SecurityManager: Changing view acls to: spark
17/03/30 20:37:38 INFO spark.SecurityManager: Changing modify acls to: spark
17/03/30 20:37:38 INFO spark.SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(spark); users with modify permissions: Set(spark)
17/03/30 20:37:38 INFO yarn.Client: Submitting application 1 to ResourceManager
17/03/30 20:37:39 INFO impl.YarnClientImpl: Submitted application application_1490877371054_0001
17/03/30 20:37:40 INFO yarn.Client: Application report for application_1490877371054_0001 (state: ACCEPTED)
17/03/30 20:37:40 INFO yarn.Client:
client token: N/A client token: N/A
diagnostics: N/A
ApplicationMaster host: N/A
ApplicationMaster RPC port: -1
queue: default
start time: 1490877458881
final status: UNDEFINED
tracking URL: http://master:8088/proxy/application_1490877371054_0001/
user: spark
17/03/30 20:37:41 INFO yarn.Client: Application report for application_1490877371054_0001 (state: ACCEPTED)
17/03/30 20:37:42 INFO yarn.Client: Application report for application_1490877371054_0001 (state: ACCEPTED)
17/03/30 20:37:43 INFO yarn.Client: Application report for application_1490877371054_0001 (state: ACCEPTED)
17/03/30 20:37:44 INFO yarn.Client: Application report for application_1490877371054_0001 (state: ACCEPTED)
17/03/30 20:37:45 INFO yarn.Client: Application report for application_1490877371054_0001 (state: ACCEPTED)
17/03/30 20:37:46 INFO yarn.Client: Application report for application_1490877371054_0001 (state: ACCEPTED)
17/03/30 20:37:47 INFO yarn.Client: Application report for application_1490877371054_0001 (state: ACCEPTED)
17/03/30 20:37:48 INFO yarn.Client: Application report for application_1490877371054_0001 (state: ACCEPTED)
17/03/30 20:37:49 INFO yarn.Client: Application report for application_1490877371054_0001 (state: ACCEPTED)
17/03/30 20:37:50 INFO yarn.Client: Application report for application_1490877371054_0001 (state: ACCEPTED)
17/03/30 20:37:51 INFO yarn.Client: Application report for application_1490877371054_0001 (state: ACCEPTED)
17/03/30 20:37:52 INFO yarn.Client: Application report for application_1490877371054_0001 (state: ACCEPTED)
17/03/30 20:37:53 INFO yarn.Client: Application report for application_1490877371054_0001 (state: ACCEPTED)
17/03/30 20:37:54 INFO yarn.Client: Application report for application_1490877371054_0001 (state: ACCEPTED)
17/03/30 20:37:55 INFO yarn.Client: Application report for application_1490877371054_0001 (state: ACCEPTED)
17/03/30 20:37:56 INFO yarn.Client: Application report for application_1490877371054_0001 (state: ACCEPTED)
17/03/30 20:37:57 INFO yarn.Client: Application report for application_1490877371054_0001 (state: ACCEPTED)
17/03/30 20:37:58 INFO yarn.Client: Application report for application_1490877371054_0001 (state: ACCEPTED)
17/03/30 20:37:59 INFO yarn.Client: Application report for application_1490877371054_0001 (state: ACCEPTED)
17/03/30 20:38:00 INFO yarn.Client: Application report for application_1490877371054_0001 (state: ACCEPTED)
17/03/30 20:38:01 INFO yarn.Client: Application report for application_1490877371054_0001 (state: ACCEPTED)
17/03/30 20:38:02 INFO yarn.Client: Application report for application_1490877371054_0001 (state: ACCEPTED)
17/03/30 20:38:03 INFO yarn.Client: Application report for application_1490877371054_0001 (state: ACCEPTED)
17/03/30 20:38:04 INFO yarn.Client: Application report for application_1490877371054_0001 (state: ACCEPTED)
17/03/30 20:38:05 INFO yarn.Client: Application report for application_1490877371054_0001 (state: ACCEPTED)
17/03/30 20:38:06 INFO yarn.Client: Application report for application_1490877371054_0001 (state: ACCEPTED)
17/03/30 20:38:07 INFO yarn.Client: Application report for application_1490877371054_0001 (state: ACCEPTED)
17/03/30 20:38:08 INFO yarn.Client: Application report for application_1490877371054_0001 (state: ACCEPTED)
17/03/30 20:38:09 INFO yarn.Client: Application report for application_1490877371054_0001 (state: ACCEPTED)
17/03/30 20:38:10 INFO yarn.Client: Application report for application_1490877371054_0001 (state: ACCEPTED)
17/03/30 20:38:12 INFO yarn.Client: Application report for application_1490877371054_0001 (state: ACCEPTED)
17/03/30 20:38:13 INFO yarn.Client: Application report for application_1490877371054_0001 (state: ACCEPTED)
17/03/30 20:38:14 INFO yarn.Client: Application report for application_1490877371054_0001 (state: ACCEPTED)
17/03/30 20:38:15 INFO yarn.Client: Application report for application_1490877371054_0001 (state: ACCEPTED)
17/03/30 20:38:16 INFO yarn.Client: Application report for application_1490877371054_0001 (state: ACCEPTED)
17/03/30 20:38:17 INFO yarn.Client: Application report for application_1490877371054_0001 (state: FAILED)
17/03/30 20:38:17 INFO yarn.Client:
client token: N/A
diagnostics: Application application_1490877371054_0001 failed 2 times due to AM Container for appattempt_1490877371054_0001_000002 exited with exitCode: -103
For more detailed output, check application tracking page:http://master:8088/proxy/application_1490877371054_0001/Then, click on links to logs of each attempt.
Diagnostics: Container [pid=2417,containerID=container_1490877371054_0001_02_000001] is running beyond virtual memory limits. Current usage: 79.2 MB of 1 GB physical memory used; 2.2 GB of 2.1 GB virtual memory used. Killing container.
Dump of the process-tree for container_1490877371054_0001_02_000001 :
|- PID PPID PGRPID SESSID CMD_NAME USER_MODE_TIME(MILLIS) SYSTEM_TIME(MILLIS) VMEM_USAGE(BYTES) RSSMEM_USAGE(PAGES) FULL_CMD_LINE
|- 2421 2417 2417 2417 (java) 283 147 2256482304 19967 /usr/local/jdk/jdk1.8.0_60/bin/java -server -Xmx512m -Djava.io.tmpdir=/usr/local/hadoop/hadoop-2.6.0/tmp/nm-local-dir/usercache/spark/appcache/application_1490877371054_0001/container_1490877371054_0001_02_000001/tmp -Dspark.yarn.app.container.log.dir=/usr/local/hadoop/hadoop-2.6.0/logs/userlogs/application_1490877371054_0001/container_1490877371054_0001_02_000001 org.apache.spark.deploy.yarn.ExecutorLauncher --arg 192.168.80.10:54074 --executor-memory 512m --executor-cores 1 --properties-file /usr/local/hadoop/hadoop-2.6.0/tmp/nm-local-dir/usercache/spark/appcache/application_1490877371054_0001/container_1490877371054_0001_02_000001/__spark_conf__/__spark_conf__.properties
|- 2417 2415 2417 2417 (bash) 0 1 108650496 305 /bin/bash -c /usr/local/jdk/jdk1.8.0_60/bin/java -server -Xmx512m -Djava.io.tmpdir=/usr/local/hadoop/hadoop-2.6.0/tmp/nm-local-dir/usercache/spark/appcache/application_1490877371054_0001/container_1490877371054_0001_02_000001/tmp -Dspark.yarn.app.container.log.dir=/usr/local/hadoop/hadoop-2.6.0/logs/userlogs/application_1490877371054_0001/container_1490877371054_0001_02_000001 org.apache.spark.deploy.yarn.ExecutorLauncher --arg '192.168.80.10:54074' --executor-memory 512m --executor-cores 1 --properties-file /usr/local/hadoop/hadoop-2.6.0/tmp/nm-local-dir/usercache/spark/appcache/application_1490877371054_0001/container_1490877371054_0001_02_000001/__spark_conf__/__spark_conf__.properties 1> /usr/local/hadoop/hadoop-2.6.0/logs/userlogs/application_1490877371054_0001/container_1490877371054_0001_02_000001/stdout 2> /usr/local/hadoop/hadoop-2.6.0/logs/userlogs/application_1490877371054_0001/container_1490877371054_0001_02_000001/stderr
Container killed on request. Exit code is 143
Container exited with a non-zero exit code 143
Failing this attempt. Failing the application.
ApplicationMaster host: N/A
ApplicationMaster RPC port: -1
queue: default
start time: 1490877458881
final status: FAILED
tracking URL: http://master:8088/cluster/app/application_1490877371054_0001
user: spark
17/03/30 20:38:17 INFO yarn.Client: Deleting staging directory .sparkStaging/application_1490877371054_0001
17/03/30 20:38:17 ERROR spark.SparkContext: Error initializing SparkContext.
org.apache.spark.SparkException: Yarn application has already ended! It might have been killed or unable to launch application master.
at org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.waitForApplication(YarnClientSchedulerBackend.scala:124)
at org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.start(YarnClientSchedulerBackend.scala:64)
at org.apache.spark.scheduler.TaskSchedulerImpl.start(TaskSchedulerImpl.scala:144)
at org.apache.spark.SparkContext.<init>(SparkContext.scala:530)
at org.apache.spark.api.java.JavaSparkContext.<init>(JavaSparkContext.scala:59)
at zhouls.bigdata.MyJavaWordCount.main(MyJavaWordCount.java:31)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:497)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
17/03/30 20:38:17 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/stages/stage/kill,null}
17/03/30 20:38:17 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/api,null}
17/03/30 20:38:17 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/,null}
17/03/30 20:38:17 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/static,null}
17/03/30 20:38:17 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/executors/threadDump/json,null}
17/03/30 20:38:17 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/executors/threadDump,null}
17/03/30 20:38:17 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/executors/json,null}
17/03/30 20:38:17 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/executors,null}
17/03/30 20:38:17 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/environment/json,null}
17/03/30 20:38:17 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/environment,null}
17/03/30 20:38:17 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/storage/rdd/json,null}
17/03/30 20:38:17 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/storage/rdd,null}
17/03/30 20:38:17 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/storage/json,null}
17/03/30 20:38:17 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/storage,null}
17/03/30 20:38:17 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/stages/pool/json,null}
17/03/30 20:38:17 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/stages/pool,null}
17/03/30 20:38:17 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/stages/stage/json,null}
17/03/30 20:38:17 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/stages/stage,null}
17/03/30 20:38:17 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/stages/json,null}
17/03/30 20:38:17 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/stages,null}
17/03/30 20:38:17 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/jobs/job/json,null}
17/03/30 20:38:17 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/jobs/job,null}
17/03/30 20:38:17 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/jobs/json,null}
17/03/30 20:38:17 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/jobs,null}
17/03/30 20:38:17 INFO ui.SparkUI: Stopped Spark web UI at http://192.168.80.10:4040
17/03/30 20:38:17 INFO cluster.YarnClientSchedulerBackend: Shutting down all executors
17/03/30 20:38:17 INFO cluster.YarnClientSchedulerBackend: Asking each executor to shut down
17/03/30 20:38:17 INFO cluster.YarnClientSchedulerBackend: Stopped
17/03/30 20:38:17 INFO spark.MapOutputTrackerMasterEndpoint: MapOutputTrackerMasterEndpoint stopped!
17/03/30 20:38:17 INFO storage.MemoryStore: MemoryStore cleared
17/03/30 20:38:17 INFO storage.BlockManager: BlockManager stopped
17/03/30 20:38:17 INFO storage.BlockManagerMaster: BlockManagerMaster stopped
17/03/30 20:38:17 WARN metrics.MetricsSystem: Stopping a MetricsSystem that is not running
17/03/30 20:38:17 INFO scheduler.OutputCommitCoordinator$OutputCommitCoordinatorEndpoint: OutputCommitCoordinator stopped!
17/03/30 20:38:17 INFO spark.SparkContext: Successfully stopped SparkContext
Exception in thread "main" org.apache.spark.SparkException: Yarn application has already ended! It might have been killed or unable to launch application master.
at org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.waitForApplication(YarnClientSchedulerBackend.scala:124)
at org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.start(YarnClientSchedulerBackend.scala:64)
at org.apache.spark.scheduler.TaskSchedulerImpl.start(TaskSchedulerImpl.scala:144)
at org.apache.spark.SparkContext.<init>(SparkContext.scala:530)
at org.apache.spark.api.java.JavaSparkContext.<init>(JavaSparkContext.scala:59)
at zhouls.bigdata.MyJavaWordCount.main(MyJavaWordCount.java:31)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:497)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
17/03/30 20:38:17 INFO remote.RemoteActorRefProvider$RemotingTerminator: Shutting down remote daemon.
17/03/30 20:38:18 INFO util.ShutdownHookManager: Shutdown hook called
17/03/30 20:38:18 INFO remote.RemoteActorRefProvider$RemotingTerminator: Remote daemon shut down; proceeding with flushing remote transports.
17/03/30 20:38:18 INFO util.ShutdownHookManager: Deleting directory /tmp/spark-fdfdb880-f6cf-47eb-8981-1176e657d466
17/03/30 20:38:18 INFO util.ShutdownHookManager: Deleting directory /tmp/spark-fdfdb880-f6cf-47eb-8981-1176e657d466/httpd-f5d25b97-30bd-4f13-b925-d96026063a63
[spark@master spark-1.6.1-bin-hadoop2.6]
解决思路
第一种解决版本：首先想到是集群中内存资源不足，可以检查下每台机器是否有足够剩余内存( free -g)；也可能是其他已经提交的Spark应用占了大部分资源；
第二种解决办法：如果1>正常，我们可以看看YARN集群是否启动成功。注意“坑”可能就在这里： 即使Slave上的nodemanager进程存在，要注意检查resource manager日志，看看各个node manager是否启动成功，我的问题就出现在这里：进程在，但是日志显示node manager状态为UNHEALTHY，所以YARN集群能识别到的总内存资源为0。。。
检查了UNHEALTHY的原因，是因为/tmp下一个目录被识别为bad, 因为是临时目录，我把每个node manager的对应目录删掉，然后重启YARN集群，最终问题解决。