spark-sql 启动时制定master

spark-sql   --master  spark://mater:7077 指定maser 相当于standalone模式

如果直接spark-sql 启动，spark-env.sh中配置了spark master的ip，此时不指定master也相当于standalone模式

spark-sql  --master yarn-client 是以yarn客户端的模式去跑sql

但是如何让sql以yarn-cluster模式运行呢？

spark-sql  --master yarn-cluster

spark-sql  --master yarn --deploy-mode cluster

这两种方式启动是一样的，但是为什么报错呢?

17/01/04 13:03:59 INFO yarn.Client:

client token: N/A

diagnostics: Application application_1483257147443_0300 failed 2 times due to AM Container for appattempt_1483257147443_0300_000002 exited with exitCode: 1 due to: Exception from container-launch.

Container id: container_1483257147443_0300_02_000001

Exit code: 1

Stack trace: ExitCodeException exitCode=1:

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:702)

at org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor.launchContainer(DefaultContainerExecutor.java:197)

at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:299)

at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:81)

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: root.hadoop

start time: 1483506229770

final status: FAILED

tracking URL: http://cdhm1:8088/cluster/app/application_1483257147443_0300

user: hadoop

Exception in thread "main" org.apache.spark.SparkException: Application finished with failed status

at org.apache.spark.deploy.yarn.ClientBase$class.run(ClientBase.scala:509)

at org.apache.spark.deploy.yarn.Client.run(Client.scala:35)

at org.apache.spark.deploy.yarn.Client$.main(Client.scala:139)

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$.launch(SparkSubmit.scala:358)

at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:75)

at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)

求大神指导