我正在尝试运行一个非常简单的作业来测试我的 hadoop 设置，所以我尝试使用 Word Count Example ，它陷入了 0% ，所以我尝试了一些其他简单的作业，并且每个作业都陷入了困境
52191_0003/
14/07/14 23:55:51 INFO mapreduce.Job: Running job: job_1405376352191_0003
14/07/14 23:55:57 INFO mapreduce.Job: Job job_1405376352191_0003 running in uber mode : false
14/07/14 23:55:57 INFO mapreduce.Job: map 0% reduce 0%
我使用的是hadoop版本- Hadoop 2.3.0-cdh5.0.2
我在谷歌上做了快速研究，发现增加了
yarn.scheduler.minimum-allocation-mb
yarn.nodemanager.resource.memory-mb
我有单节点集群，在双核和 8 GB RAM 的 Macbook 上运行。
我的yarn-site.xml 文件 -
<configuration>
<!-- Site specific YARN configuration properties -->
<property>
<property>
<name>yarn.resourcemanager.hostname</name>
<value>resourcemanager.company.com</value>
</property>
<property>
<description>Classpath for typical applications.</description>
<name>yarn.application.classpath</name>
<value>
$HADOOP_CONF_DIR,
$HADOOP_COMMON_HOME/*,$HADOOP_COMMON_HOME/lib/*,
$HADOOP_HDFS_HOME/*,$HADOOP_HDFS_HOME/lib/*,
$HADOOP_MAPRED_HOME/*,$HADOOP_MAPRED_HOME/lib/*,
$HADOOP_YARN_HOME/*,$HADOOP_YARN_HOME/lib/*
</value>
</property>
<property>
<name>yarn.nodemanager.local-dirs</name>
<value>file:///data/1/yarn/local,file:///data/2/yarn/local,file:///data/3/yarn/local</value>
</property>
<property>
<name>yarn.nodemanager.log-dirs</name>
<value>file:///data/1/yarn/logs,file:///data/2/yarn/logs,file:///data/3/yarn/logs</value>
</property>
<property>
</property>
<name>yarn.log.aggregation.enable</name>
<value>true</value>
<property>
<description>Where to aggregate logs</description>
<name>yarn.nodemanager.remote-app-log-dir</name>
<value>hdfs://var/log/hadoop-yarn/apps</value>
</property>
<property>
<name>yarn.nodemanager.aux-services</name>
<value>mapreduce_shuffle</value>
<description>shuffle service that needs to be set for Map Reduce to run </description>
</property>
<property>
<name>yarn.nodemanager.aux-services.mapreduce.shuffle.class</name>
<value>org.apache.hadoop.mapred.ShuffleHandler</value>
</property>
</property>
<property>
<name>yarn.app.mapreduce.am.resource.mb</name>
<value>8092</value>
</property>
<property>
<name>yarn.app.mapreduce.am.command-opts</name>
<value>-Xmx768m</value>
</property>
<property>
<name>mapreduce.framework.name</name>
<value>yarn</value>
<description>Execution framework.</description>
</property>
<property>
<name>mapreduce.map.cpu.vcores</name>
<value>4</value>
<description>The number of virtual cores required for each map task.</description>
</property>
<property>
<name>mapreduce.map.memory.mb</name>
<value>8092</value>
<description>Larger resource limit for maps.</description>
</property>
<property>
<name>mapreduce.map.java.opts</name>
<value>-Xmx768m</value>
<description>Heap-size for child jvms of maps.</description>
</property>
<property>
<name>mapreduce.jobtracker.address</name>
<value>jobtracker.alexjf.net:8021</value>
</property>
<property>
<name>yarn.scheduler.minimum-allocation-mb</name>
<value>2048</value>
<description>Minimum limit of memory to allocate to each container request at the Resource Manager.</description>
</property>
<property>
<name>yarn.scheduler.maximum-allocation-mb</name>
<value>8092</value>
<description>Maximum limit of memory to allocate to each container request at the Resource Manager.</description>
</property>
<property>
<name>yarn.scheduler.minimum-allocation-vcores</name>
<value>2</value>
<description>The minimum allocation for every container request at the RM, in terms of virtual CPU cores. Requests lower than this won't take effect, and the specified value will get allocated the minimum.</description>
</property>
<property>
<name>yarn.scheduler.maximum-allocation-vcores</name>
<value>10</value>
<description>The maximum allocation for every container request at the RM, in terms of virtual CPU cores. Requests higher than this won't take effect, and will get capped to this value.</description>
</property>
<property>
<name>yarn.nodemanager.resource.memory-mb</name>
<value>2048</value>
<description>Physical memory, in MB, to be made available to running containers</description>
</property>
<property>
<name>yarn.nodemanager.resource.cpu-vcores</name>
<value>4</value>
<description>Number of CPU cores that can be allocated for containers.</description>
</property>
<property>
<name>yarn.nodemanager.aux-services</name>
<value>mapreduce_shuffle</value>
<description>shuffle service that needs to be set for Map Reduce to run </description>
</property>
<property>
<name>yarn.nodemanager.aux-services.mapreduce.shuffle.class</name>
<value>org.apache.hadoop.mapred.ShuffleHandler</value>
</property>
</configuration>
我的mapred-site.xml
<property>
<name>mapreduce.framework.name</name>
<value>yarn</value>
</property>
只有 1 个属性。
尝试了几种排列和组合，但无法消除错误。
工作日志
23:55:55,694 WARN [main] org.apache.hadoop.conf.Configuration: job.xml:an attempt to override final parameter: mapreduce.job.end-notification.max.retry.interval; Ignoring.
2014-07-14 23:55:55,697 WARN [main] org.apache.hadoop.conf.Configuration: job.xml:an attempt to override final parameter: mapreduce.job.end-notification.max.attempts; Ignoring.
2014-07-14 23:55:55,699 INFO [main] org.apache.hadoop.yarn.client.RMProxy: Connecting to ResourceManager at /0.0.0.0:8030
2014-07-14 23:55:55,769 INFO [main] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: maxContainerCapability: 8092
2014-07-14 23:55:55,769 INFO [main] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: queue: root.abhishekchoudhary
2014-07-14 23:55:55,775 INFO [main] org.apache.hadoop.mapreduce.v2.app.launcher.ContainerLauncherImpl: Upper limit on the thread pool size is 500
2014-07-14 23:55:55,777 INFO [main] org.apache.hadoop.yarn.client.api.impl.ContainerManagementProtocolProxy: yarn.client.max-nodemanagers-proxies : 500
2014-07-14 23:55:55,787 INFO [AsyncDispatcher event handler] org.apache.hadoop.mapreduce.v2.app.job.impl.JobImpl: job_1405376352191_0003Job Transitioned from INITED to SETUP
2014-07-14 23:55:55,789 INFO [CommitterEvent Processor #0] org.apache.hadoop.mapreduce.v2.app.commit.CommitterEventHandler: Processing the event EventType: JOB_SETUP
2014-07-14 23:55:55,800 INFO [AsyncDispatcher event handler] org.apache.hadoop.mapreduce.v2.app.job.impl.JobImpl: job_1405376352191_0003Job Transitioned from SETUP to RUNNING
2014-07-14 23:55:55,823 INFO [AsyncDispatcher event handler] org.apache.hadoop.mapreduce.v2.app.job.impl.TaskImpl: task_1405376352191_0003_m_000000 Task Transitioned from NEW to SCHEDULED
2014-07-14 23:55:55,824 INFO [AsyncDispatcher event handler] org.apache.hadoop.mapreduce.v2.app.job.impl.TaskImpl: task_1405376352191_0003_m_000001 Task Transitioned from NEW to SCHEDULED
2014-07-14 23:55:55,824 INFO [AsyncDispatcher event handler] org.apache.hadoop.mapreduce.v2.app.job.impl.TaskImpl: task_1405376352191_0003_m_000002 Task Transitioned from NEW to SCHEDULED
2014-07-14 23:55:55,825 INFO [AsyncDispatcher event handler] org.apache.hadoop.mapreduce.v2.app.job.impl.TaskImpl: task_1405376352191_0003_m_000003 Task Transitioned from NEW to SCHEDULED
2014-07-14 23:55:55,826 INFO [AsyncDispatcher event handler] org.apache.hadoop.mapreduce.v2.app.job.impl.TaskAttemptImpl: attempt_1405376352191_0003_m_000000_0 TaskAttempt Transitioned from NEW to UNASSIGNED
2014-07-14 23:55:55,827 INFO [AsyncDispatcher event handler] org.apache.hadoop.mapreduce.v2.app.job.impl.TaskAttemptImpl: attempt_1405376352191_0003_m_000001_0 TaskAttempt Transitioned from NEW to UNASSIGNED
2014-07-14 23:55:55,827 INFO [AsyncDispatcher event handler] org.apache.hadoop.mapreduce.v2.app.job.impl.TaskAttemptImpl: attempt_1405376352191_0003_m_000002_0 TaskAttempt Transitioned from NEW to UNASSIGNED
2014-07-14 23:55:55,827 INFO [AsyncDispatcher event handler] org.apache.hadoop.mapreduce.v2.app.job.impl.TaskAttemptImpl: attempt_1405376352191_0003_m_000003_0 TaskAttempt Transitioned from NEW to UNASSIGNED
2014-07-14 23:55:55,828 INFO [Thread-49] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: mapResourceReqt:8092
2014-07-14 23:55:55,858 INFO [eventHandlingThread] org.apache.hadoop.mapreduce.jobhistory.JobHistoryEventHandler: Event Writer setup for JobId: job_1405376352191_0003, File: hdfs://localhost/tmp/hadoop-yarn/staging/abhishekchoudhary/.staging/job_1405376352191_0003/job_1405376352191_0003_1.jhist
2014-07-14 23:55:56,773 INFO [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Before Scheduling: PendingReds:0 ScheduledMaps:4 ScheduledReds:0 AssignedMaps:0 AssignedReds:0 CompletedMaps:0 CompletedReds:0 ContAlloc:0 ContRel:0 HostLocal:0 RackLocal:0
2014-07-14 23:55:56,799 INFO [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerRequestor: getResources() for application_1405376352191_0003: ask=1 release= 0 newContainers=0 finishedContainers=0 resourcelimit=<memory:0, vCores:0> knownNMs=1
