Yarn MapReduce 作业问题 - Hadoop 2.3.0 中的 AM 容器启动错误
我已经设置了 Hadoop 2.3.0 的 2 节点集群.它工作正常，我可以成功运行分布式shell-2.2.0.jar 示例.但是当我尝试运行任何 mapreduce 作业时，我得到了错误.我已经根据 (http://www.alexjf.net/blog/distributed-systems/hadoop-yarn-installation-definitive-guide)但我收到以下错误:
I have setup a 2 node cluster of Hadoop 2.3.0. Its working fine and I can successfully run distributedshell-2.2.0.jar example. But when I try to run any mapreduce job I get error. I have setup MapRed.xml and other configs for running MapReduce job according to (http://www.alexjf.net/blog/distributed-systems/hadoop-yarn-installation-definitive-guide) but I am getting following error :
14/03/22 20:31:17 INFO mapreduce.Job: Job job_1395502230567_0001 failed with state FAILED due to: Application application_1395502230567_0001 failed 2 times due to AM Container for appattempt_1395502230567_0001_000002 exited
with exitCode: 1 due to: Exception from container-launch: org.apache.hadoop.util.Shell$ExitCodeException:
org.apache.hadoop.util.Shell$ExitCodeException:
at org.apache.hadoop.util.Shell.runCommand(Shell.java:505)
at org.apache.hadoop.util.Shell.run(Shell.java:418)
at org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:650)
at org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor.launchContainer(DefaultContainerExecutor.java:195)
at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:283)
at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:79)
at java.util.concurrent.FutureTask.run(FutureTask.java:262)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:744)
Container exited with a non-zero exit code 1
.Failing this attempt.. Failing the application.
14/03/22 20:31:17 INFO mapreduce.Job: Counters: 0
Job ended: Sat Mar 22 20:31:17 PKT 2014
The job took 6 seconds.
如果查看 stderr(工作日志)，则只有一行无法找到或加载主类 614"
And if look at stderr (log of job) there is only one line
"Could not find or load main class 614"
现在我已经用谷歌搜索过了，通常当你有不同的 JAVA 版本或 yarn-site.xml 类路径设置不正确时，我的 yarn-site.xml有这个
Now I have googled it and usually this issues comes when you have different JAVA versions or in yarn-site.xml classpath is not properly set , my yarn-site.xml has this
<property>
<name>yarn.application.classpath</name>
<value>/opt/yarn/hadoop-2.3.0/etc/hadoop,/opt/yarn/hadoop-2.3.0/*,/opt/yarn/hadoop-2.3.0/lib/*,/opt/yarn/hadoop-2.3.0/*,/opt/yarn/hadoop-2.3.0/lib/*,/opt/yarn/hadoop-2.3.0/*,/opt/yarn/hadoop-2.3.0/lib/*,/opt/yarn/hadoop-2.3.0/*,/opt/yarn/hadoop-2.3.0/lib/*</value>
</property>
那么任何其他想法可能是这里的问题吗?
So any other ideas what could be the issue here ?
我正在像这样运行我的 mapreduce 工作:
I am running my mapreduce job like this:
$HADOOP_PREFIX/bin/hadoop jar $HADOOP_PREFIX/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.2.0.jar randomwriter out
推荐答案
我在尝试手动安装 Hortonworks HDP 2.1 时遇到了同样的问题.我设法捕获了包含以下内容的容器启动器脚本:
I encountered the same problem when trying to install Hortonworks HDP 2.1 manually. I managed to capture the container launcher script which contained the following:
#!/bin/bash
export NM_HTTP_PORT="8042"
export LOCAL_DIRS="/data/1/hadoop/yarn/local/usercache/doug/appcache/application_1406927878786_0001,/data/2/hadoop/yarn/local/usercache/doug/appcache/application_1406927878786_0001,/data/3/hadoop/yarn/local/usercache/doug/appcache/application_1406927878786_0001,/data/4/hadoop/yarn/local/usercache/doug/appcache/application_1406927878786_0001"
export JAVA_HOME="/usr/java/latest"
export NM_AUX_SERVICE_mapreduce_shuffle="AAA0+gAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA="
export CLASSPATH="$PWD:$HADOOP_CONF_DIR:$HADOOP_COMMON_HOME/share/hadoop/common/*:$HADOOP_COMMON_HOME/share/hadoop/common/lib/*:$HADOOP_HDFS_HOME/share/hadoop/hdfs/*:$HADOOP_HDFS_HOME/share/hadoop/hdfs/lib/*:$HADOOP_YARN_HOME/share/hadoop/yarn/*:$HADOOP_YARN_HOME/share/hadoop/yarn/lib/*:$HADOOP_MAPRED_HOME/share/hadoop/mapreduce/*:$HADOOP_MAPRED_HOME/share/hadoop/mapreduce/lib/*:job.jar/job.jar:job.jar/classes/:job.jar/lib/*:$PWD/*"
export HADOOP_TOKEN_FILE_LOCATION="/data/2/hadoop/yarn/local/usercache/doug/appcache/application_1406927878786_0001/container_1406927878786_0001_01_000001/container_tokens"
export NM_HOST="test02.admin.hypertable.com"
export APPLICATION_WEB_PROXY_BASE="/proxy/application_1406927878786_0001"
export JVM_PID="$$"
export USER="doug"
export HADOOP_HDFS_HOME="/usr/lib/hadoop-hdfs"
export PWD="/data/2/hadoop/yarn/local/usercache/doug/appcache/application_1406927878786_0001/container_1406927878786_0001_01_000001"
export CONTAINER_ID="container_1406927878786_0001_01_000001"
export HOME="/home/"
export NM_PORT="62404"
export LOGNAME="doug"
export APP_SUBMIT_TIME_ENV="1406928095871"
export MAX_APP_ATTEMPTS="2"
export HADOOP_CONF_DIR="/etc/hadoop/conf"
export MALLOC_ARENA_MAX="4"
export LOG_DIRS="/data/1/hadoop/yarn/logs/application_1406927878786_0001/container_1406927878786_0001_01_000001,/data/2/hadoop/yarn/logs/application_1406927878786_0001/container_1406927878786_0001_01_000001,/data/3/hadoop/yarn/logs/application_1406927878786_0001/container_1406927878786_0001_01_000001,/data/4/hadoop/yarn/logs/application_1406927878786_0001/container_1406927878786_0001_01_000001"
ln -sf "/data/1/hadoop/yarn/local/usercache/doug/filecache/10/libthrift-0.9.2.jar" "libthrift-0.9.2.jar"
ln -sf "/data/4/hadoop/yarn/local/usercache/doug/appcache/application_1406927878786_0001/filecache/13/job.xml" "job.xml"
mkdir -p jobSubmitDir
ln -sf "/data/3/hadoop/yarn/local/usercache/doug/appcache/application_1406927878786_0001/filecache/12/job.split" "jobSubmitDir/job.split"
mkdir -p jobSubmitDir
ln -sf "/data/2/hadoop/yarn/local/usercache/doug/appcache/application_1406927878786_0001/filecache/11/job.splitmetainfo" "jobSubmitDir/job.splitmetainfo"
ln -sf "/data/1/hadoop/yarn/local/usercache/doug/appcache/application_1406927878786_0001/filecache/10/job.jar" "job.jar"
ln -sf "/data/2/hadoop/yarn/local/usercache/doug/filecache/11/hypertable-0.9.8.0-apache2.jar" "hypertable-0.9.8.0-apache2.jar"
exec /bin/bash -c "$JAVA_HOME/bin/java -Dlog4j.configuration=container-log4j.properties -Dyarn.app.container.log.dir=/data/4/hadoop/yarn/logs/application_1406927878786_0001/container_1406927878786_0001_01_000001 -Dyarn.app.container.log.filesize=0 -Dhadoop.root.logger=INFO,CLA -Xmx1024m org.apache.hadoop.mapreduce.v2.app.MRAppMaster 1>/data/4/hadoop/yarn/logs/application_1406927878786_0001/container_1406927878786_0001_01_000001/stdout 2>/data/4/hadoop/yarn/logs/application_1406927878786_0001/container_1406927878786_0001_01_000001/stderr "
设置 CLASSPATH 的行是罪魁祸首.为了解决这个问题，我必须在 中设置变量 指向 HADOOP_COMMON_HOME、HADOOP_HDFS_HOME、HADOOP_YARN_HOME 和 HADOOP_MAPRED_HOMEhadoop-env.sh/usr/lib 下的相应目录.在每个目录中，我还必须设置 share/hadoop/... 子目录层次结构，可以在其中找到 jar.
The line that sets CLASSPATH was the culprit. To resolve the problem I had to set the variables HADOOP_COMMON_HOME, HADOOP_HDFS_HOME, HADOOP_YARN_HOME, and HADOOP_MAPRED_HOME in hadoop-env.sh to point to the appropriate directories under /usr/lib. In each of those directories I also had to setup the share/hadoop/... subdirectory hierarchy where the jars could be found.
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