spark + yarn调试问题java.nio.channels.ClosedChannelException

spark客户端提交任务至yarn，后台抛错，FinalStatus:UNDEFINED.

./spark-submit --class org.apache.spark.examples.SparkPi --conf spark.eventLog.dir=hdfs://jenkintest/tmp/spark01 --master yarn --deploy-mode client --driver-memory 1g --principal sparkclient01 --keytab $SPARK_HOME/sparkclient01.keytab --executor-memory 1g --executor-cores 1 $SPARK_HOME/examples/jars/spark-examples*.jar 10

报错如下：

AM Container for appattempt_1506179461763_0011_000001 exited with exitCode: -103
For more detailed output, check application tracking page:http://hadoop1:8088/cluster/app/application_1506179461763_0011Then, click on links to logs of each attempt.
Diagnostics: Container [pid=23780,containerID=container_e59_1506179461763_0011_01_000001] is running beyond virtual memory limits. Current usage: 354.0 MB of 1 GB physical memory used; 2.4 GB of 2.1 GB virtual memory used. Killing container.
Dump of the process-tree for container_e59_1506179461763_0011_01_000001 :
|- PID PPID PGRPID SESSID CMD_NAME USER_MODE_TIME(MILLIS) SYSTEM_TIME(MILLIS) VMEM_USAGE(BYTES) RSSMEM_USAGE(PAGES) FULL_CMD_LINE
|- 23780 23777 23780 23780 (bash) 0 0 108658688 299 /bin/bash -c /xxx/soft/java/bin/java -server -Xmx512m -Djava.io.tmpdir=/data/slot0/yarn/log/usercache/sparkclient01/appcache/application_1506179461763_0011/container_e59_1506179461763_0011_01_000001/tmp -Dspark.yarn.app.container.log.dir=/data/slot0/yarn/local/application_1506179461763_0011/container_e59_1506179461763_0011_01_000001 org.apache.spark.deploy.yarn.ExecutorLauncher --arg '10.183.225.158:13262' --properties-file /data/slot0/yarn/log/usercache/sparkclient01/appcache/application_1506179461763_0011/container_e59_1506179461763_0011_01_000001/__spark_conf__/__spark_conf__.properties 1> /data/slot0/yarn/local/application_1506179461763_0011/container_e59_1506179461763_0011_01_000001/stdout 2> /data/slot0/yarn/local/application_1506179461763_0011/container_e59_1506179461763_0011_01_000001/stderr
|- 23784 23780 23780 23780 (java) 964 50 2496180224 90320 /xxx/soft/java/bin/java -server -Xmx512m -Djava.io.tmpdir=/data/slot0/yarn/log/usercache/sparkclient01/appcache/application_1506179461763_0011/container_e59_1506179461763_0011_01_000001/tmp -Dspark.yarn.app.container.log.dir=/data/slot0/yarn/local/application_1506179461763_0011/container_e59_1506179461763_0011_01_000001 org.apache.spark.deploy.yarn.ExecutorLauncher --arg 10.183.225.158:13262 --properties-file /data/slot0/yarn/log/usercache/sparkclient01/appcache/application_1506179461763_0011/container_e59_1506179461763_0011_01_000001/__spark_conf__/__spark_conf__.properties
Container killed on request. Exit code is 143
Container exited with a non-zero exit code 143
Failing this attempt

原因为，container使用的虚拟内存（2.4G）超过了默认值（2.1G）。

虚拟内存计算公式：yarn.scheduler.minimum-allocation-mb * yarn.nodemanager.vmem-pmem-ratio = 虚拟内存的总量。

yarn.scheduler.minimum-allocation-mb：默认为1G

yarn.nodemanager.vmem-pmem-ratio：默认2.1

如果需要的虚拟内存总量超过这个计算所得的数值，就会出发 Killing container.

使用了2.4，超过了默认计算结果2.1。

修改配置如下：

<!-- yarn 资源分配 -->
        <property>
                <name>yarn.scheduler.maximum-allocation-mb</name>
                <value>9216</value>
                <discription>每个任务最多可用内存,单位MB,默认8192MB</discription>
        </property>
        <property>
                <name>yarn.scheduler.minimum-allocation-mb</name>
                <value>4000</value>
                <discription>每个任务最shao可用内存</discription>
        </property>
        <property>
                <name>yarn.nodemanager.vmem-pmem-ratio</name>
                <value>4.1</value>
        </property>

也可关闭虚拟内存检查（不推荐）：yarn.nodemanager.vmem-check-enabled fase

配置完，重启nodemanager，任务运行SUCCESS，打印结果：

INFO org.apache.hadoop.yarn.server.nodemanager.containermanager.monitor.ContainersMonitorImpl: Memory usage of ProcessTree 23278 for container-id container_e59_1506179461763_0013_01_000001: 268.5 MB of 1 GB physical memory used; 2.4 GB of 4.1 GB virtual memory used