hadoop2.5.2 mapreduce作业失败 12C
 16/06/14 03:26:45 INFO client.RMProxy: Connecting to ResourceManager at centos1/192.168.6.132:8032
16/06/14 03:26:47 WARN mapreduce.JobSubmitter: Hadoop command-line option parsing not performed. Implement the Tool interface and execute your application with ToolRunner to remedy this.
16/06/14 03:26:47 INFO input.FileInputFormat: Total input paths to process : 1
16/06/14 03:26:48 INFO mapreduce.JobSubmitter: number of splits:1
16/06/14 03:26:48 INFO Configuration.deprecation: mapred.job.tracker is deprecated. Instead, use mapreduce.jobtracker.address
16/06/14 03:26:48 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1465885546873_0002
16/06/14 03:26:49 INFO impl.YarnClientImpl: Submitted application application_1465885546873_0002
16/06/14 03:26:49 INFO mapreduce.Job: The url to track the job: http://centos1:8088/proxy/application_1465885546873_0002/
16/06/14 03:26:49 INFO mapreduce.Job: Running job: job_1465885546873_0002
16/06/14 03:27:10 INFO mapreduce.Job: Job job_1465885546873_0002 running in uber mode : false
16/06/14 03:27:10 INFO mapreduce.Job:  map 0% reduce 0%
16/06/14 03:27:10 INFO mapreduce.Job: Job job_1465885546873_0002 failed with state FAILED due to: Application application_1465885546873_0002 failed 2 times due to Error launching appattempt_1465885546873_0002_000002. Got exception: java.net.ConnectException: Call From local.localdomain/127.0.0.1 to local:50334 failed on connection exception: java.net.ConnectException: Connection refused; For more details see:  http://wiki.apache.org/hadoop/ConnectionRefused
        at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
        at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
        at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
        at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
        at org.apache.hadoop.net.NetUtils.wrapWithMessage(NetUtils.java:783)
        at org.apache.hadoop.net.NetUtils.wrapException(NetUtils.java:730)
        at org.apache.hadoop.ipc.Client.call(Client.java:1415)
        at org.apache.hadoop.ipc.Client.call(Client.java:1364)
        at org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:206)
        at com.sun.proxy.$Proxy32.startContainers(Unknown Source)
        at org.apache.hadoop.yarn.api.impl.pb.client.ContainerManagementProtocolPBClientImpl.startContainers(ContainerManagementProtocolPBClientImpl.java:96)
        at org.apache.hadoop.yarn.server.resourcemanager.amlauncher.AMLauncher.launch(AMLauncher.java:118)
        at org.apache.hadoop.yarn.server.resourcemanager.amlauncher.AMLauncher.run(AMLauncher.java:249)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
        at java.lang.Thread.run(Thread.java:745)

然后错误日志如下

 2016-06-14 03:26:49,936 INFO org.apache.hadoop.yarn.server.resourcemanager.amlaucher.AMLauncher: Setting up container Container: [ContainerId: container_1465885546873_0002_01_000001, NodeId: local:42709, NodeHttpAddress: local:8042, Resource: <memory:2048, vCores:1>, Priority: 0, Token: Token { kind: ContainerToken, service: 127.0.0.1:42709 }, ] for AM appattempt_1465885546873_0002_000001
2016-06-14 03:26:49,936 INFO org.apache.hadoop.yarn.server.resourcemanager.amlauncher.AMLauncher: Command to launch container container_1465885546873_0002_01_000001 : $JAVA_HOME/bin/java -Dlog4j.configuration=container-log4j.properties -Dyarn.app.container.log.dir=<LOG_DIR> -Dyarn.app.container.log.filesize=0 -Dhadoop.root.logger=INFO,CLA  -Xmx1024m org.apache.hadoop.mapreduce.v2.app.MRAppMaster 1><LOG_DIR>/stdout 2><LOG_DIR>/stderr
2016-06-14 03:26:50,948 INFO org.apache.hadoop.ipc.Client: Retrying connect to server: local/127.0.0.1:42709. Already tried 0 time(s); retry policy is RetryUpToMaximumCountWithFixedSleep(maxRetries=10, sleepTime=1000 MILLISECONDS)
2016-06-14 03:26:51,950 INFO org.apache.hadoop.ipc.Client: Retrying connect to server: local/127.0.0.1:42709. Already tried 1 time(s); retry policy is RetryUpToMaximumCountWithFixedSleep(maxRetries=10, sleepTime=1000 MILLISECONDS)
2016-06-14 03:26:52,951 INFO org.apache.hadoop.ipc.Client: Retrying connect to server: local/127.0.0.1:42709. Already tried 2 time(s); retry policy is RetryUpToMaximumCountWithFixedSleep(maxRetries=10, sleepTime=1000 MILLISECONDS)
2016-06-14 03:26:53,952 INFO org.apache.hadoop.ipc.Client: Retrying connect to server: local/127.0.0.1:42709. Already tried 3 time(s); retry policy is RetryUpToMaximumCountWithFixedSleep(maxRetries=10, sleepTime=1000 MILLISECONDS)
2016-06-14 03:26:54,953 INFO org.apache.hadoop.ipc.Client: Retrying connect to server: local/127.0.0.1:42709. Already tried 4 time(s); retry policy is RetryUpToMaximumCountWithFixedSleep(maxRetries=10, sleepTime=1000 MILLISECONDS)
2016-06-14 03:26:55,954 INFO org.apache.hadoop.ipc.Client: Retrying connect to server: local/127.0.0.1:42709. Already tried 5 time(s); retry policy is RetryUpToMaximumCountWithFixedSleep(maxRetries=10, sleepTime=1000 MILLISECONDS)
2016-06-14 03:26:56,956 INFO org.apache.hadoop.ipc.Client: Retrying connect to server: local/127.0.0.1:42709. Already tried 6 time(s); retry policy is RetryUpToMaximumCountWithFixedSleep(maxRetries=10, sleepTime=1000 MILLISECONDS)
2016-06-14 03:26:57,957 INFO org.apache.hadoop.ipc.Client: Retrying connect to server: local/127.0.0.1:42709. Already tried 7 time(s); retry policy is RetryUpToMaximumCountWithFixedSleep(maxRetries=10, sleepTime=1000 MILLISECONDS)
2016-06-14 03:26:58,959 INFO org.apache.hadoop.ipc.Client: Retrying connect to server: local/127.0.0.1:42709. Already tried 8 time(s); retry policy is RetryUpToMaximumCountWithFixedSleep(maxRetries=10, sleepTime=1000 MILLISECONDS)
2016-06-14 03:26:59,960 INFO org.apache.hadoop.ipc.Client: Retrying connect to server: local/127.0.0.1:42709. Already tried 9 time(s); retry policy is RetryUpToMaximumCountWithFixedSleep(maxRetries=10, sleepTime=1000 MILLISECONDS)
2016-06-14 03:26:59,962 INFO org.apache.hadoop.yarn.server.resourcemanager.amlauncher.AMLauncher: Error launching appattempt_1465885546873_0002_000001. Got exception: java.net.ConnectException: Call From local.localdomain/127.0.0.1 to local:42709 failed on connection exception: java.net.ConnectException: Connection refused; For more details see:  http://wiki.apache.org/hadoop/ConnectionRefused
        at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
        at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
        at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
        at java.lang.reflect.Constructor.newInstance(Constructor.java:423)

core-site.xml如下

 <configuration>
 <property>
   <name>ha.zookeeper.quorum</name>
   <value>centos1:2181,centos2:2181,centos3:2181</value>
 </property>
 <property>
   <name>hadoop.tmp.dir</name>
   <value>/opt/hadoop2.5</value>
 </property>
<property>
  <name>fs.defaultFS</name>
  <value>hdfs://mycluster</value>
</property>
</configuration>

hdfs-site.xml如下

 <configuration>
<property>
  <name>dfs.nameservices</name>
  <value>mycluster</value>
</property>
<property>
  <name>dfs.ha.namenodes.mycluster</name>
  <value>centos1,centos2</value>
</property>
<property>
  <name>dfs.namenode.rpc-address.mycluster.centos1</name>
  <value>centos1:8020</value>
</property>
<property>
  <name>dfs.namenode.rpc-address.mycluster.centos2</name>
  <value>centos2:8020</value>
</property>
<property>
  <name>dfs.namenode.http-address.mycluster.centos1</name>
  <value>centos1:50070</value>
</property>
<property>
  <name>dfs.namenode.http-address.mycluster.centos2</name>
  <value>centos2:50070</value>
</property>
<property>
  <name>dfs.namenode.shared.edits.dir</name>
  <value>qjournal://centos2:8485;centos3:8485;centos4:8485/mycluster</value>
</property>
<property>
  <name>dfs.client.failover.proxy.provider.mycluster</name>
  <value>org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider</value>
</property>
<property>
  <name>dfs.ha.fencing.methods</name>
  <value>sshfence</value>
</property>
<property>
  <name>dfs.ha.fencing.ssh.private-key-files</name>
  <value>/root/.ssh/id_dsa</value>
</property>
<property>
  <name>dfs.journalnode.edits.dir</name>
  <value>/home/hadoop-data</value>
</property>
 <property>
   <name>dfs.ha.automatic-failover.enabled</name>
   <value>true</value>
 </property>
</configuration>

yarn-site.xml如下

 <configuration>
    <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.resourcemanager.hostname</name>
        <value>centos1</value>
    </property>
    <property>
        <name>yarn.resourcemanager.address</name>
        <value>centos1:8032</value>
    </property>
    <property>
        <name>yarn.resourcemanager.admin.address</name>
        <value>centos1:8033</value>
    </property>
</configuration>

mapred-site.xml如下

 <configuration>
    <property>
        <name>mapreduce.framework.name</name>
        <value>yarn</value>
    </property>
</configuration>

slaves如下

 centos2
centos3
centos4

hosts如下

 127.0.0.1   local local.localdomain localhost4 localhost4.localdomain4
::1         localhost localhost.localdomain localhost6 localhost6.localdomain6
192.168.6.132 centos1
192.168.6.133 centos2
192.168.6.134 centos3
192.168.6.135 centos4

1个回答

error log说的是连接datanode失败,ssh连接要使用秘钥这样就不用密码了

qwe125698420
我叫睿 不是这个原因,密钥我当然配了,还一直使用着。连不上是因为连的是local.127.0.0.1,但我遍历了所有文件的配置属性,没发现配这个地址的。
3 年多之前 回复
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hadoop2.5 mapreduce作业失败
如题,执行mapreduce作业情况如下rn[code=text]16/06/14 03:26:45 INFO client.RMProxy: Connecting to ResourceManager at centos1/192.168.6.132:8032rn16/06/14 03:26:47 WARN mapreduce.JobSubmitter: Hadoop command-line option parsing not performed. Implement the Tool interface and execute your application with ToolRunner to remedy this.rn16/06/14 03:26:47 INFO input.FileInputFormat: Total input paths to process : 1rn16/06/14 03:26:48 INFO mapreduce.JobSubmitter: number of splits:1rn16/06/14 03:26:48 INFO Configuration.deprecation: mapred.job.tracker is deprecated. Instead, use mapreduce.jobtracker.addressrn16/06/14 03:26:48 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1465885546873_0002rn16/06/14 03:26:49 INFO impl.YarnClientImpl: Submitted application application_1465885546873_0002rn16/06/14 03:26:49 INFO mapreduce.Job: The url to track the job: http://centos1:8088/proxy/application_1465885546873_0002/rn16/06/14 03:26:49 INFO mapreduce.Job: Running job: job_1465885546873_0002rn16/06/14 03:27:10 INFO mapreduce.Job: Job job_1465885546873_0002 running in uber mode : falsern16/06/14 03:27:10 INFO mapreduce.Job: map 0% reduce 0%rn16/06/14 03:27:10 INFO mapreduce.Job: Job job_1465885546873_0002 failed with state FAILED due to: Application application_1465885546873_0002 failed 2 times due to Error launching appattempt_1465885546873_0002_000002. Got exception: java.net.ConnectException: Call From local.localdomain/127.0.0.1 to local:50334 failed on connection exception: java.net.ConnectException: Connection refused; For more details see: http://wiki.apache.org/hadoop/ConnectionRefusedrn at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)rn at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)rn at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)rn at java.lang.reflect.Constructor.newInstance(Constructor.java:423)rn at org.apache.hadoop.net.NetUtils.wrapWithMessage(NetUtils.java:783)rn at org.apache.hadoop.net.NetUtils.wrapException(NetUtils.java:730)rn at org.apache.hadoop.ipc.Client.call(Client.java:1415)rn at org.apache.hadoop.ipc.Client.call(Client.java:1364)rn at org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:206)rn at com.sun.proxy.$Proxy32.startContainers(Unknown Source)rn at org.apache.hadoop.yarn.api.impl.pb.client.ContainerManagementProtocolPBClientImpl.startContainers(ContainerManagementProtocolPBClientImpl.java:96)rn at org.apache.hadoop.yarn.server.resourcemanager.amlauncher.AMLauncher.launch(AMLauncher.java:118)rn at org.apache.hadoop.yarn.server.resourcemanager.amlauncher.AMLauncher.run(AMLauncher.java:249)rn at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)rn at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)rn at java.lang.Thread.run(Thread.java:745)rnrn然后错误日志如下rn[code=text]2016-06-14 03:26:49,936 INFO org.apache.hadoop.yarn.server.resourcemanager.amlauncher.AMLauncher: Setting up container Container: [ContainerId: container_1465885546873_0002_01_000001, NodeId: local:42709, NodeHttpAddress: local:8042, Resource: , Priority: 0, Token: Token kind: ContainerToken, service: 127.0.0.1:42709 , ] for AM appattempt_1465885546873_0002_000001rn2016-06-14 03:26:49,936 INFO org.apache.hadoop.yarn.server.resourcemanager.amlauncher.AMLauncher: Command to launch container container_1465885546873_0002_01_000001 : $JAVA_HOME/bin/java -Dlog4j.configuration=container-log4j.properties -Dyarn.app.container.log.dir= -Dyarn.app.container.log.filesize=0 -Dhadoop.root.logger=INFO,CLA -Xmx1024m org.apache.hadoop.mapreduce.v2.app.MRAppMaster 1>/stdout 2>/stderrrn2016-06-14 03:26:50,948 INFO org.apache.hadoop.ipc.Client: Retrying connect to server: local/127.0.0.1:42709. Already tried 0 time(s); retry policy is RetryUpToMaximumCountWithFixedSleep(maxRetries=10, sleepTime=1000 MILLISECONDS)rn2016-06-14 03:26:51,950 INFO org.apache.hadoop.ipc.Client: Retrying connect to server: local/127.0.0.1:42709. Already tried 1 time(s); retry policy is RetryUpToMaximumCountWithFixedSleep(maxRetries=10, sleepTime=1000 MILLISECONDS)rn2016-06-14 03:26:52,951 INFO org.apache.hadoop.ipc.Client: Retrying connect to server: local/127.0.0.1:42709. Already tried 2 time(s); retry policy is RetryUpToMaximumCountWithFixedSleep(maxRetries=10, sleepTime=1000 MILLISECONDS)rn2016-06-14 03:26:53,952 INFO org.apache.hadoop.ipc.Client: Retrying connect to server: local/127.0.0.1:42709. Already tried 3 time(s); retry policy is RetryUpToMaximumCountWithFixedSleep(maxRetries=10, sleepTime=1000 MILLISECONDS)rn2016-06-14 03:26:54,953 INFO org.apache.hadoop.ipc.Client: Retrying connect to server: local/127.0.0.1:42709. Already tried 4 time(s); retry policy is RetryUpToMaximumCountWithFixedSleep(maxRetries=10, sleepTime=1000 MILLISECONDS)rn2016-06-14 03:26:55,954 INFO org.apache.hadoop.ipc.Client: Retrying connect to server: local/127.0.0.1:42709. Already tried 5 time(s); retry policy is RetryUpToMaximumCountWithFixedSleep(maxRetries=10, sleepTime=1000 MILLISECONDS)rn2016-06-14 03:26:56,956 INFO org.apache.hadoop.ipc.Client: Retrying connect to server: local/127.0.0.1:42709. Already tried 6 time(s); retry policy is RetryUpToMaximumCountWithFixedSleep(maxRetries=10, sleepTime=1000 MILLISECONDS)rn2016-06-14 03:26:57,957 INFO org.apache.hadoop.ipc.Client: Retrying connect to server: local/127.0.0.1:42709. Already tried 7 time(s); retry policy is RetryUpToMaximumCountWithFixedSleep(maxRetries=10, sleepTime=1000 MILLISECONDS)rn2016-06-14 03:26:58,959 INFO org.apache.hadoop.ipc.Client: Retrying connect to server: local/127.0.0.1:42709. Already tried 8 time(s); retry policy is RetryUpToMaximumCountWithFixedSleep(maxRetries=10, sleepTime=1000 MILLISECONDS)rn2016-06-14 03:26:59,960 INFO org.apache.hadoop.ipc.Client: Retrying connect to server: local/127.0.0.1:42709. Already tried 9 time(s); retry policy is RetryUpToMaximumCountWithFixedSleep(maxRetries=10, sleepTime=1000 MILLISECONDS)rn2016-06-14 03:26:59,962 INFO org.apache.hadoop.yarn.server.resourcemanager.amlauncher.AMLauncher: Error launching appattempt_1465885546873_0002_000001. Got exception: java.net.ConnectException: Call From local.localdomain/127.0.0.1 to local:42709 failed on connection exception: java.net.ConnectException: Connection refused; For more details see: http://wiki.apache.org/hadoop/ConnectionRefusedrn at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)rn at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)rn at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)rn at java.lang.reflect.Constructor.newInstance(Constructor.java:423)rnrn rnrnrnrncore-site.xml如下rn[code=text]rn rn ha.zookeeper.quorumrn centos1:2181,centos2:2181,centos3:2181rn rn rn hadoop.tmp.dirrn /opt/hadoop2.5rn rnrn fs.defaultFSrn hdfs://myclusterrnrn[/code]rnrnhdfs-site.xml如下rn[code=text]rnrn dfs.nameservicesrn myclusterrnrnrn dfs.ha.namenodes.myclusterrn centos1,centos2rnrnrn dfs.namenode.rpc-address.mycluster.centos1rn centos1:8020rnrnrn dfs.namenode.rpc-address.mycluster.centos2rn centos2:8020rnrnrn dfs.namenode.http-address.mycluster.centos1rn centos1:50070rnrnrn dfs.namenode.http-address.mycluster.centos2rn centos2:50070rnrnrn dfs.namenode.shared.edits.dirrn qjournal://centos2:8485;centos3:8485;centos4:8485/myclusterrnrnrn dfs.client.failover.proxy.provider.myclusterrn org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProviderrnrnrn dfs.ha.fencing.methodsrn sshfencernrnrn dfs.ha.fencing.ssh.private-key-filesrn /root/.ssh/id_dsarnrnrn dfs.journalnode.edits.dirrn /home/hadoop-datarnrn rn dfs.ha.automatic-failover.enabledrn truern rn[/code]rnrnyarn-site.xml如下rn[code=text]rn rn yarn.nodemanager.aux-servicesrn mapreduce_shufflern rn rn yarn.nodemanager.aux-services.mapreduce_shuffle.classrn org.apache.hadoop.mapred.ShuffleHandlerrn rn rn yarn.resourcemanager.hostnamern centos1rn rn rn yarn.resourcemanager.addressrn centos1:8032rn rn rn yarn.resourcemanager.admin.addressrn centos1:8033rn rn[/code]rnrnmapred-site.xml如下rn[code=text]rn rn mapreduce.framework.namern yarnrn rn[/code]rnrnslaves如下rn[code=text]centos2rncentos3rncentos4[/code]rnrnhosts如下rn[code=text]127.0.0.1 local local.localdomain localhost4 localhost4.localdomain4rn::1 localhost localhost.localdomain localhost6 localhost6.localdomain6rn192.168.6.132 centos1rn192.168.6.133 centos2rn192.168.6.134 centos3rn192.168.6.135 centos4[/code]rn
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MapReduce安装作业
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Oozie Mapreduce作业测试
本次课程让学员全面系统地学习大数据平台运维,开发的操作。课程内容涉及到大数据生态系统的各项工具,内容全面,讲解细致,助您全面掌握大数据平台运维及开发工具的作用
MapReduce的作业流程以及新一代MapReduce——YARN
了解mapreduceV1(旧版本的mapreduce)与mapreduceV2(YARN)的区别我们需要先深入理解一下mapreduceV1的工作机制和设计思想。首先看一下mapreduce V1的运行图解 MapReduce V1的组件及功能分别是: Client:客户端,负责编写mapreduce代码并配置和提交作业。 JobTracker:是整个mapreduce框架的核心,类似于
MapReduce应用开发(四) 作业调优和MapReduce的工作流
作业调优1) 检查以下项是否可以优化mapper数量    reducer数量    combiner    中间值的压缩    自定义序列化    调整shuffle2) 分析任务Hadoop允许分析作业中的一部分任务,任务完成时把分析信息存储以使用标准分析工具分析本地作业运行器与集群是不同的环境,且数据流模式也不同,如果MR作业是I/O密集的,那么本地优化的对于集群可能没帮助,有些问题只会在集...
基于MapReduce作业的MapReduce数据流优化
[size=medium] 在编写MapReduce应用程序时,除了最基本的Map模块、Reduce模块和驱动方法之外,用户还可以通过一些技巧优化作业以提高其性能。对用户来说,合理地在MapReduce作业中对程序进行优化,可以极大地提高作业的性能,减少作业执行时间。我们从以下几个方法分析MapReduce作业的优化方法。 1 选择Mapper的数量 Hadoop平台在处理...
作业失败
新建了一个作业,在启动作业的时候报告作业失败。rn但我在查询分析器中执行作业中的SQL语句时是正确的,请问是什么原因呢?
作业失败!
1。作业1用于在2:00到0:00时段内每分钟插数据到A表,成功执行rn2。作业2用于在1:00 从表A移走此数据,却报以下错误。rnrn作业失败。 调度 3 (a) 唤醒调用了该作业。最后运行的步骤是第 1 步(s)。
MapReduce运行机制(二) 失败
任务/application master/NM/RM任务运行失败1) 任务代码异常        &amp;gt; JVM在退出前向application master发送错误报告,报告被记录用户日志        &amp;gt; application master将任务标记为failed,释放容器和资源        &amp;gt; 如果是Streaming任务,如果Streaming进程以非零代码退出,则标记...
学习笔记:MapReduce作业失败原因及其恢复过程(理论层级)
MR作业失败一般可能有以下五种情况: 任务运行失败 AM运行失败 NM运行失败 RM运行失败 以上四种失败情况严重程度同以上排序,RM运行失败最为严重。 任务运行失败 异常模式 用户代码抛出的异常 jvm运行异常 任务挂起 任务异常后的处理过程 ...
Hadoop2.5.2集群部署
一、环境 转载请出至出处:http://eksliang.iteye.com/blog/2223784 准备3台虚拟机,安装Centos 64-bit操作系统。 192.168.177.131 mast1.com mast1 192.168.177.132 mast2.com mast2 192.168.177.133 mast3.com mast3 其中mast1充当Name...
关于hadoop2.5.2运行MapReduce计算框架依赖最少jar包问题
问题描述:在hadoop2.5.2中的MapReduce计算框架上,利用Java代码执行分析任务时,需要导入必要的jar包。一般可直接导入/home/hadoop-2.5.1/share/hadoop/目录下的所有jar包,共计184个,大小为65.6M。这样,在Eclipse中执行代码时,会因为引用jar包过多,导致运行卡顿;另外在将整个工程导出为.jar文件(其中包括所有需要引用的jar文件)...
hadoop2.5.2插件
eclipse环境下集成hadoop2.5.2时候需要的jar包 ant已经编译好了的可以直接用
hadoop2.5.2安装部署
1. 安装包:     http://mirrors.hust.edu.cn/apache/hadoop/common/hadoop-2.5.2/hadoop-2.5.2.tar.gz   hadoop2.5.2安装包     http://mirrors.hust.edu.cn/apache/zookeeper/zookeeper-3.4.6/zookeeper-3.4.6.tar.gz
Win7下用Eclipse向Hadoop2.5.2集群提交MapReduce程序的注意事项
  主要描述下,在Win7环境下,通过eclipse往集群提交MapReduce程序的过程。 一、环境说明: 开发环境:WIN7 Eclipse版本:eclipse-jee-indigo Hadoop版本:Hadoop2.5.2 MR运行模式:Yarn   二、使用MapReduce的Eclipse插件: 插件名称:hadoop-eclipse-plugin-2.5.2.ja...
安装Eclipse开发Mapreduce作业程序
安装Eclipse开发Mapreduce作业程序 材料准备 1.hadoop环境准备hadoop2.6.2集群环境(虚拟机)。(参照博客:Hadoop2.6.2全分布式搭建) 2.软件及文件准备软件:Eclipse Java EE IDE for Web Developers.Version: Neon Release(4.6.0)(非必须此版本) 测试数据:气象包。 插件:hadoop-e
使用avro完成MapReduce作业
MapReduce是一种编程模型,用于大规模数据集(大于1TB)的并行运算。概念"Map(映射)"和"Reduce(归约)",是它们的主要思想,都是从函数式编程语言里借来的,还有从矢量编程语言里借来的特性。它极大地方便了编程人员在不会分布式并行编程的情况下,将自己的程序运行在分布式系统上。
Hadoop环境搭建以及试跑MapReduce作业
Hadoop环境搭建以及试跑MapReduce作业一:安装JDK1.查看2.删除3.删除的具体命令如下:4.下载JDK5.安装让环境变量生效二:安装Hadoop让环境变量生效创建用户组和用户创建日志文件夹设置密码修改配置文件修改core-site.xml修改mapred-site.xml修改yarn-site.xml修改hdfs-site.xml配置hadoop-env.sh格式化hdfs配置1配...
hadoop mapreduce作业流程概论
http://www.cnblogs.com/ggjucheng/archive/2012/04/22/2465782.html
HUE提交MapReduce作业示例
说明 操作步骤 步骤1新建MapReduce的action 步骤2填写配置  步骤3提交作业说明因为HUE也是通过Oozie的REST提交作业,故看过Oozie提交作业总结后,在HUE中提交作业变得相当简单。操作步骤步骤1–新建MapReduce的action步骤2–填写配置 图中所有的”Hadoop job properties”如下,mapreduce.input.fileinputformat
运行MapReduce作业做集成测试
准备工作 以windows环境为例:  安装jdk,设置环境变量JAVA_HOME为jdk安装目录  安装Cygwin,安装时注意选择安装软件包openssh - Net 类,安装完成将cygwin/bin加入环境变量path。  确认ssh。打开cygwin命令行,分别执行以下命令   安装sshd:$ ssh-host-config   启动sshd服务:$ net s...
【练习作业】HDFS与MapReduce操作
五、实验的步骤和方法:   请用命令完成以下操作 1、启动hadoop系统,并查看hadoop系统有哪些相关的进程启动。   2、用自己的名字创建一个目录,在该目录下,用自己的学号创建一个文件,文件的内容是一小段随意的英语。   3、使用hdfs命令将该文件上传到hdfs文件系统上。   4、使用hdfs命令浏览该文件的内容。   5、使用WordCount.java对上传的
Hive调用MapReduce任务失败
1. Hive简介Hive(蜂巢)Apache Hadoop生态圈的构成之一,其主要功能是基于Hadoop提供MapReduce的类SQL查询。Hive的语法规则和Mysql中SQL的语法规则极为相似,有Mysql使用经验的同学都能轻松上手。 Hive的执行分为本地模式和集群模式。本地模式执行简单的Hive SQL,不需要启动MapReduce程序,如-- 本地模式 select col_name
MapReduce之如何处理失败的task
一 常见容错场景分析 1.1作业某个任务阻塞了,长时间占用资源不释放 1.2在MapTask任务运行完毕,ReduceTask运行过程中,某个MapTask节点挂了,或者某个MapTask结果存放的那磁盘坏掉了   二 作业某个任务阻塞了,长时间占用资源不释放 这种问题通常是由于程序bug,数据特性造成的,会让程序阻塞,任务运行停滞不前。在我们表面上看来是任务停滞不前。   这种问题
mapreduce 程序任务运行失败
mapreduce 程序任务运行时报:Task Failed,什么原因,如何处理。
sql2005备份作业失败
2005 的数据库执行备份作业的时候失败,无法打开备份设备出现操作系统错误拒绝访问,user用户也给了最大权限为什么还是不行
执行索引作业失败
在历史记录里报如下错误。会不会和我前些天打SP3补丁有关?rnrn消息rn已以用户 SVCTAG-9BHFF3X\SYSTEM 的身份执行。 Microsoft (R) SQL Server 执行包实用工具 版本 9.00.4035.00 (32 位) 版权所有 (C) Microsoft Corp 1984-2005。保留所有权利。 开始时间: 22:30:22 由于出现错误 0xC0014062,导致无法加载包“Maintenance Plans\index”。 说明: LoadFromSQLServer 方法遇到了 OLE DB 错误代码 0x80004005 (由于打开服务器连接过程中的延迟,无法完成登录过程)。发出的 SQL 语句已失败。 源: 开始时间: 22:30:22 完成时间: 22:30:49 已用时间: 26.891 秒. 无法加载该包。. 该步骤失败。
执行备份作业失败
执行备份作业失败,查看历史记录如下:rn执行用户: NT AUTHORITY\SYSTEM。sqlmaint.exe 失败。 [SQLSTATE 42000](错误 22029). 步骤失败。rnrnrn以前一直都是成功的,但上次空间不够,就开始失败,我发现后删除了该数据库的日志文件,空间有了,但执行还是失败:(rn
MSSQL2008维护计划作业失败
恳请赐教:rnrnMSSQL2008 做了个备份的维护计划rn执行时提示:该作业失败。 用户 Administrator 调用了该作业。最后运行的是步骤 1 (Subplan_1)。rn手动执行该维护计划下的作业结果也一样.rnrn代理帐号用的是localsystemrnrn错误日志里winnt:rn日期 2011-6-25 9:29:46rn日志 Windows NT (Application)rnrn源 SQLAgent$MSSQLSERVER2008rn类别 (3)rn事件 1073742032rn计算机 WEB****rnrn消息rn无法找到源“SQLAgent$MSSQLSERVER2008”中事件 ID“1073742032”的说明。本地计算机可能没有显示该消息所需的注册表信息或消息 DLL 文件,或者您可能无权访问它们。下列信息是该事件的一部分:'DBBackup.Subplan_1', '0xA7F3C7BB130C0B4DAA2B3CE8F0438638', '失败', '2011-06-25 09:29:44', '该作业失败。 用户 WEB****\Administrator 调用了该作业。最后运行的是步骤 1 (Subplan_1)。.'rnrn上网找了一下,据说要重新注册 DTS.dll,我就用regsvr32.exe重新注册,且提示"C:\Program Files\Microsoft SQL Server\100\DTS\Binn\DTS.DLL 中的DllRegisterServer成功"rn但维护计划的作业执行还是失败,新建维护计划执行也失败rnrn究竟要从哪里找原因呢?rnrnrnrnrn
mssql2008r2 建立作业失败
奇怪的以前是win2003+mssql(desktop),用的好好的,但是现在移植到win2008r2+mssql2008R2,其他数据库的操作都很正常,但是在第一次建立作业的时候没有问题,语句分析通过,但作业不能正常执行,返回编辑作业步骤时就弹出什么组件com不能注册什么的。如果要求错误信息帖上来,如果需要我就贴上来吧。请高手帮忙解答。
关于作业失败的问题
比如我设定在每天晚上00:00开始从一个数据库复制数据到另一个数据库。突然有天晚上网络中断,作业没完成。这时怎么办?第二天怎么迷补昨天的作业?
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