mapreduce 作业上容器启动的异常
Exception from container-launch on a mapreduce job
我已经设置了一个具有一个主节点和三个数据节点的 hadoop 集群。当我尝试 运行 主节点上的 mapreduce 作业时,出现以下错误:
18/05/23 19:22:59 INFO mapreduce.Job: Task Id : attempt_1527096061793_0001_m_000000_0, Status : FAILED
Exception from container-launch.
Container id: container_1527096061793_0001_01_000002
Exit code: 1
Stack trace: ExitCodeException exitCode=1:
at org.apache.hadoop.util.Shell.runCommand(Shell.java:585)
at org.apache.hadoop.util.Shell.run(Shell.java:482)
at org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:776)
at org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor.launchContainer(DefaultContainerExecutor.java:212)
at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:302)
at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:82)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Container exited with a non-zero exit code 1
我也设法在数据节点日志文件中找到了错误,但除了控制台中显示的内容外,他们什么也没说。我现在真的被困了很长一段时间,我不确定如何处理这个问题。任何建议或帮助表示赞赏。
谢谢
核心-site.xml
<configuration>
<!-- core-site.xml -->
<property>
<name>fs.defaultFS</name>
<value>hdfs://NameNode:9000/</value>
</property>
<property>
<name>io.file.buffer.size</name>
<value>131072</value>
</property>
</configuration>
纱-site.xml
<configuration>
<!-- Site specific YARN configuration properties -->
<property>
<name>yarn.resourcemanager.hostname</name>
<value>NameNode</value>
</property>
<property>
<name>yarn.resourcemanager.bind-host</name>
<value>0.0.0.0</value>
</property>
<property>
<name>yarn.nodemanager.bind-host</name>
<value>0.0.0.0</value>
</property>
<property>
<name>yarn.nodemanager.aux-services</name>
<value>mapreduce_shuffle</value>
</property>
<property>
<name>yarn.nodemanager.aux-services.mapreduce_shuffle.class</name>
<value>org.apache.hadoop.mapred.ShuffleHandler</value>
</property>
<property>
<name>yarn.log-aggregation-enable</name>
<value>true</value>
</property>
<property>
<name>yarn.nodemanager.local-dirs</name>
<value>file:/usr/local/hadoop_work/yarn/local</value>
</property>
<property>
<name>yarn.nodemanager.log-dirs</name>
<value>file:/usr/local/hadoop_work/yarn/log</value>
</property>
<property>
<name>yarn.nodemanager.remote-app-log-dir</name>
<value>hdfs://NameNode:9000/var/log/hadoop-yarn/apps</value>
</property>
<property>
<name>yarn.nodemanager.vmem-check-enabled</name>
<value>false</value>
</property>
</configuration>
hdfs-site.xml
<configuration>
<!-- hdfs-site.xml -->
<property>
<name>dfs.namenode.name.dir</name>
<value>file:/usr/local/hadoop_work/hdfs/namenode</value>
</property>
<property>
<name>dfs.datanode.data.dir</name>
<value>file:/usr/local/hadoop_work/hdfs/datanode</value>
</property>
<property>
<name>dfs.namenode.checkpoint.dir</name>
<value>file:/usr/local/hadoop_work/hdfs/namesecondary</value>
</property>
<property>
<name>dfs.replication</name>
<value>3</value>
</property>
<property>
<name>dfs.permissions</name>
<value>false</value>
</property>
<property>
<name>dfs.block.size</name>
<value>134217728</value>
</property>
</configuration>
mapred-site.xml
<configuration>
<property>
<name>mapreduce.framework.name</name>
<value>yarn</value>
</property>
<property>
<name>mapreduce.jobhistory.address</name>
<value>0.0.0.0:10020</value>
</property>
<property>
<name>mapreduce.jobhistory.webapp.address</name>
<value>0.0.0.0:19888</value>
</property>
<property>
<name>yarn.app.mapreduce.am.staging-dir</name>
<value>/user/app</value>
</property>
<property>
<name>mapred.child.java.opts</name>
<value>-Djava.security.egd=file:/dev/../dev/urandom</value>
</property>
<property>
<name>mapreduce.map.memory.mb</name>
<value>2000</value>
</property>
<property>
<name>mapreduce.reduce.memory.mb</name>
<value>2000</value>
</property>
<property>
<name>mapreduce.map.java.opts</name>
<value>1600</value>
</property>
<property>
<name>mapreduce.reduce.java.opts</name>
<value>1600</value>
</property>
</configuration>
Hadoop 版本为 2.7.6
我发现了问题。它在 mapred-site.xml 配置文件中的这些行中:
<property>
<name>mapreduce.map.java.opts</name>
<value>1600</value>
</property>
<property>
<name>mapreduce.reduce.java.opts</name>
<value>1600</value>
</property>
标记内的每个值都应该有一个“-Xmx”前缀和一个 "m" 后缀。
配置这些属性的正确方法:
<property>
<name>mapreduce.map.java.opts</name>
<value>-Xmx1600m</value>
</property>
<property>
<name>mapreduce.reduce.java.opts</name>
<value>-Xmx1600m</value>
</property>
希望这对某人有所帮助,因为我花了太多时间才弄明白。
我已经设置了一个具有一个主节点和三个数据节点的 hadoop 集群。当我尝试 运行 主节点上的 mapreduce 作业时,出现以下错误:
18/05/23 19:22:59 INFO mapreduce.Job: Task Id : attempt_1527096061793_0001_m_000000_0, Status : FAILED
Exception from container-launch.
Container id: container_1527096061793_0001_01_000002
Exit code: 1
Stack trace: ExitCodeException exitCode=1:
at org.apache.hadoop.util.Shell.runCommand(Shell.java:585)
at org.apache.hadoop.util.Shell.run(Shell.java:482)
at org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:776)
at org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor.launchContainer(DefaultContainerExecutor.java:212)
at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:302)
at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:82)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Container exited with a non-zero exit code 1
我也设法在数据节点日志文件中找到了错误,但除了控制台中显示的内容外,他们什么也没说。我现在真的被困了很长一段时间,我不确定如何处理这个问题。任何建议或帮助表示赞赏。
谢谢
核心-site.xml
<configuration>
<!-- core-site.xml -->
<property>
<name>fs.defaultFS</name>
<value>hdfs://NameNode:9000/</value>
</property>
<property>
<name>io.file.buffer.size</name>
<value>131072</value>
</property>
</configuration>
纱-site.xml
<configuration>
<!-- Site specific YARN configuration properties -->
<property>
<name>yarn.resourcemanager.hostname</name>
<value>NameNode</value>
</property>
<property>
<name>yarn.resourcemanager.bind-host</name>
<value>0.0.0.0</value>
</property>
<property>
<name>yarn.nodemanager.bind-host</name>
<value>0.0.0.0</value>
</property>
<property>
<name>yarn.nodemanager.aux-services</name>
<value>mapreduce_shuffle</value>
</property>
<property>
<name>yarn.nodemanager.aux-services.mapreduce_shuffle.class</name>
<value>org.apache.hadoop.mapred.ShuffleHandler</value>
</property>
<property>
<name>yarn.log-aggregation-enable</name>
<value>true</value>
</property>
<property>
<name>yarn.nodemanager.local-dirs</name>
<value>file:/usr/local/hadoop_work/yarn/local</value>
</property>
<property>
<name>yarn.nodemanager.log-dirs</name>
<value>file:/usr/local/hadoop_work/yarn/log</value>
</property>
<property>
<name>yarn.nodemanager.remote-app-log-dir</name>
<value>hdfs://NameNode:9000/var/log/hadoop-yarn/apps</value>
</property>
<property>
<name>yarn.nodemanager.vmem-check-enabled</name>
<value>false</value>
</property>
</configuration>
hdfs-site.xml
<configuration>
<!-- hdfs-site.xml -->
<property>
<name>dfs.namenode.name.dir</name>
<value>file:/usr/local/hadoop_work/hdfs/namenode</value>
</property>
<property>
<name>dfs.datanode.data.dir</name>
<value>file:/usr/local/hadoop_work/hdfs/datanode</value>
</property>
<property>
<name>dfs.namenode.checkpoint.dir</name>
<value>file:/usr/local/hadoop_work/hdfs/namesecondary</value>
</property>
<property>
<name>dfs.replication</name>
<value>3</value>
</property>
<property>
<name>dfs.permissions</name>
<value>false</value>
</property>
<property>
<name>dfs.block.size</name>
<value>134217728</value>
</property>
</configuration>
mapred-site.xml
<configuration>
<property>
<name>mapreduce.framework.name</name>
<value>yarn</value>
</property>
<property>
<name>mapreduce.jobhistory.address</name>
<value>0.0.0.0:10020</value>
</property>
<property>
<name>mapreduce.jobhistory.webapp.address</name>
<value>0.0.0.0:19888</value>
</property>
<property>
<name>yarn.app.mapreduce.am.staging-dir</name>
<value>/user/app</value>
</property>
<property>
<name>mapred.child.java.opts</name>
<value>-Djava.security.egd=file:/dev/../dev/urandom</value>
</property>
<property>
<name>mapreduce.map.memory.mb</name>
<value>2000</value>
</property>
<property>
<name>mapreduce.reduce.memory.mb</name>
<value>2000</value>
</property>
<property>
<name>mapreduce.map.java.opts</name>
<value>1600</value>
</property>
<property>
<name>mapreduce.reduce.java.opts</name>
<value>1600</value>
</property>
</configuration>
Hadoop 版本为 2.7.6
我发现了问题。它在 mapred-site.xml 配置文件中的这些行中:
<property>
<name>mapreduce.map.java.opts</name>
<value>1600</value>
</property>
<property>
<name>mapreduce.reduce.java.opts</name>
<value>1600</value>
</property>
标记内的每个值都应该有一个“-Xmx”前缀和一个 "m" 后缀。
配置这些属性的正确方法:
<property>
<name>mapreduce.map.java.opts</name>
<value>-Xmx1600m</value>
</property>
<property>
<name>mapreduce.reduce.java.opts</name>
<value>-Xmx1600m</value>
</property>
希望这对某人有所帮助,因为我花了太多时间才弄明白。