使用以下脚本在YARN（Hadoop 2.6.0.2.2.0.0-2041）上运行Spark 1.3.0 Pi示例时：
# Run on a YARN cluster
export HADOOP_CONF_DIR=/etc/hadoop/conf
/var/home2/test/spark/bin/spark-submit \
--class org.apache.spark.examples.SparkPi \
--master yarn-cluster \
--executor-memory 3G \
--num-executors 50 \
/var/home2/test/spark/lib/spark-examples-1.3.0-hadoop2.4.0.jar \
1000
由于AM Container＆＃34;它失败了＃34;应用程序失败了2次消息（请见下文）。据我所知，在此启动脚本中提供了以YARN模式运行Spark应用程序的所有必要信息。还应该配置什么才能在YARN上运行。缺什么？ YARN发布失败的其他原因是什么？
[test@etl-hdp-mgmt pi]$ ./run-pi.sh
Spark assembly has been built with Hive, including Datanucleus jars on classpath
15/04/01 12:59:57 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
15/04/01 12:59:58 INFO client.RMProxy: Connecting to ResourceManager at etl-hdp-yarn.foo.bar.com/192.168.0.16:8050
15/04/01 12:59:58 INFO yarn.Client: Requesting a new application from cluster with 4 NodeManagers
15/04/01 12:59:58 INFO yarn.Client: Verifying our application has not requested more than the maximum memory capability of the cluster (4096 MB per container)
15/04/01 12:59:58 INFO yarn.Client: Will allocate AM container, with 896 MB memory including 384 MB overhead
15/04/01 12:59:58 INFO yarn.Client: Setting up container launch context for our AM
15/04/01 12:59:58 INFO yarn.Client: Preparing resources for our AM container
15/04/01 12:59:59 WARN hdfs.BlockReaderLocal: The short-circuit local reads feature cannot be used because libhadoop cannot be loaded.
15/04/01 12:59:59 INFO yarn.Client: Uploading resource file:/var/home2/test/spark-1.3.0-bin-hadoop2.4/lib/spark-assembly-1.3.0-hadoop2.4.0.jar -> hdfs://foo.bar.com:8020/user/test/.sparkStaging/application_1427875242006_0010/spark-assembly-1.3.0-hadoop2.4.0.jar
15/04/01 13:00:01 INFO yarn.Client: Uploading resource file:/var/home2/test/spark/lib/spark-examples-1.3.0-hadoop2.4.0.jar -> hdfs://foo.bar.com:8020/user/test/.sparkStaging/application_1427875242006_0010/spark-examples-1.3.0-hadoop2.4.0.jar
15/04/01 13:00:02 INFO yarn.Client: Setting up the launch environment for our AM container
15/04/01 13:00:03 INFO spark.SecurityManager: Changing view acls to: test
15/04/01 13:00:03 INFO spark.SecurityManager: Changing modify acls to: test
15/04/01 13:00:03 INFO spark.SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(test); users with modify permissions: Set(test)
15/04/01 13:00:03 INFO yarn.Client: Submitting application 10 to ResourceManager
15/04/01 13:00:03 INFO impl.YarnClientImpl: Submitted application application_1427875242006_0010
15/04/01 13:00:04 INFO yarn.Client: Application report for application_1427875242006_0010 (state: ACCEPTED)
15/04/01 13:00:04 INFO yarn.Client:
client token: N/A
diagnostics: N/A
ApplicationMaster host: N/A
ApplicationMaster RPC port: -1
queue: default
start time: 1427893202566
final status: UNDEFINED
tracking URL: http://etl-hdp-yarn.foo.bar.com:8088/proxy/application_1427875242006_0010/
user: test
15/04/01 13:00:05 INFO yarn.Client: Application report for application_1427875242006_0010 (state: ACCEPTED)
15/04/01 13:00:06 INFO yarn.Client: Application report for application_1427875242006_0010 (state: ACCEPTED)
15/04/01 13:00:07 INFO yarn.Client: Application report for application_1427875242006_0010 (state: ACCEPTED)
15/04/01 13:00:08 INFO yarn.Client: Application report for application_1427875242006_0010 (state: ACCEPTED)
15/04/01 13:00:09 INFO yarn.Client: Application report for application_1427875242006_0010 (state: FAILED)
15/04/01 13:00:09 INFO yarn.Client:
client token: N/A
diagnostics: Application application_1427875242006_0010 failed 2 times due to AM Container for appattempt_1427875242006_0010_000002 exited with exitCode: 1
For more detailed output, check application tracking page:http://etl-hdp-yarn.foo.bar.com:8088/proxy/application_1427875242006_0010/Then, click on links to logs of each attempt.
Diagnostics: Exception from container-launch.
Container id: container_1427875242006_0010_02_000001
Exit code: 1
Exception message: /mnt/hdfs01/hadoop/yarn/local/usercache/test/appcache/application_1427875242006_0010/container_1427875242006_0010_02_000001/launch_container.sh: line 27: $PWD:$PWD/__spark__.jar:$HADOOP_CONF_DIR:/usr/hdp/current/hadoop-client/*:/usr/hdp/current/hadoop-client/lib/*:/usr/hdp/current/hadoop-hdfs-client/*:/usr/hdp/current/hadoop-hdfs-client/lib/*:/usr/hdp/current/hadoop-yarn-client/*:/usr/hdp/current/hadoop-yarn-client/lib/*:$PWD/mr-framework/hadoop/share/hadoop/mapreduce/*:$PWD/mr-framework/hadoop/share/hadoop/mapreduce/lib/*:$PWD/mr-framework/hadoop/share/hadoop/common/*:$PWD/mr-framework/hadoop/share/hadoop/common/lib/*:$PWD/mr-framework/hadoop/share/hadoop/yarn/*:$PWD/mr-framework/hadoop/share/hadoop/yarn/lib/*:$PWD/mr-framework/hadoop/share/hadoop/hdfs/*:$PWD/mr-framework/hadoop/share/hadoop/hdfs/lib/*:/usr/hdp/${hdp.version}/hadoop/lib/hadoop-lzo-0.6.0.${hdp.version}.jar:/etc/hadoop/conf/secure: bad substitution
Stack trace: ExitCodeException exitCode=1: /mnt/hdfs01/hadoop/yarn/local/usercache/test/appcache/application_1427875242006_0010/container_1427875242006_0010_02_000001/launch_container.sh: line 27: $PWD:$PWD/__spark__.jar:$HADOOP_CONF_DIR:/usr/hdp/current/hadoop-client/*:/usr/hdp/current/hadoop-client/lib/*:/usr/hdp/current/hadoop-hdfs-client/*:/usr/hdp/current/hadoop-hdfs-client/lib/*:/usr/hdp/current/hadoop-yarn-client/*:/usr/hdp/current/hadoop-yarn-client/lib/*:$PWD/mr-framework/hadoop/share/hadoop/mapreduce/*:$PWD/mr-framework/hadoop/share/hadoop/mapreduce/lib/*:$PWD/mr-framework/hadoop/share/hadoop/common/*:$PWD/mr-framework/hadoop/share/hadoop/common/lib/*:$PWD/mr-framework/hadoop/share/hadoop/yarn/*:$PWD/mr-framework/hadoop/share/hadoop/yarn/lib/*:$PWD/mr-framework/hadoop/share/hadoop/hdfs/*:$PWD/mr-framework/hadoop/share/hadoop/hdfs/lib/*:/usr/hdp/${hdp.version}/hadoop/lib/hadoop-lzo-0.6.0.${hdp.version}.jar:/etc/hadoop/conf/secure: bad substitution
at org.apache.hadoop.util.Shell.runCommand(Shell.java:538)
at org.apache.hadoop.util.Shell.run(Shell.java:455)
at org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:715)
at org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor.launchContainer(DefaultContainerExecutor.java:211)
at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:302)
at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:82)
at java.util.concurrent.FutureTask.run(FutureTask.java:262)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
Container exited with a non-zero exit code 1
Failing this attempt. Failing the application.
ApplicationMaster host: N/A
ApplicationMaster RPC port: -1
queue: default
start time: 1427893202566
final status: FAILED
tracking URL: http://etl-hdp-yarn.foo.bar.com:8088/cluster/app/application_1427875242006_0010
user: test
Exception in thread "main" org.apache.spark.SparkException: Application finished with failed status
at org.apache.spark.deploy.yarn.Client.run(Client.scala:622)
at org.apache.spark.deploy.yarn.Client$.main(Client.scala:647)
at org.apache.spark.deploy.yarn.Client.main(Client.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:569)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:166)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:189)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:110)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
答案 0 :(得分：1)
我完全同意@SeanOwen。关注Spark Building documentation。
您需要使用hadoop集群的正确配置（版本，配置单元支持等）为YARN编译spark。
问题不会持续下去！
答案 1 :(得分：0)
这是与Application Master通信的问题。
RM和NM通过RPC相互通信，因此问题可能是launch_container.cmd未正确运行。在提交作业时检查NM是否与RM通信
尝试将此添加到您的yarn-site.xml：
<property>
<name>yarn.nodemanager.delete.debug-delay-sec</name>
<value>1200</value>
</property>
这将确保看到的NM错误中的launch_container.cmd不会被删除（将保持20分钟左右 - 如果需要，可以将1200增加到更高的数字）。现在，您可以尝试从容器目录手动运行该launch_container.cmd脚本，并查看它在哪里解决。
希望这会对你有所帮助。
答案 2 :(得分：0)
运行
yarn logs -applicationId application_1427875242006_0010 > /tmp/application_1427875242006_0010
那里的日志应该说明失败的原因。
＆＃34;失败2次＆＃34;因为在纱线群集模式下运行时，驱动程序在AM中运行，默认情况下重试为2。
所以你的司机重试了两次。
答案 3 :(得分：0)
我也遇到过类似的问题。实际上，当你在集群中运行自包含的应用程序时，你不需要提及--master yarn-cluster。
此问题已在Cloudera论坛上解决，请参阅此https://community.cloudera.com/t5/Advanced-Analytics-Apache-Spark/Issue-running-spark-application-in-Yarn-cluster-mode/td-p/44570