我们正在尝试运行Oozie
工作流程,其中包含使用fork
并行运行的3个子工作流程。子工作流包含运行本机映射reduce作业的节点,以及后续运行复杂PIG
作业的两个节点。最后,三个子工作流连接到单个end
节点。
当我们运行此工作流程时,我们得到LeaseExpiredException
。运行PIG
作业时会发生异常。它发生时没有确定的位置,但每次运行WF时都会发生。
此外,如果我们删除fork
并按顺序运行子工作流程,它可以正常工作。但是,我们的期望是让它们在一些执行时间内并行运行。
你能帮助我理解这个问题以及我们可能出错的地方。我们从hadoop
开发开始,并且之前没有遇到过这样的问题。
看起来由于几个并行运行的任务,其中一个线程关闭了一个零件文件,当另一个线程试图关闭它时,它会抛出错误。
以下是hadoop日志中异常的堆栈跟踪。
2013-02-19 10:23:54,815 INFO org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher: 57% complete
2013-02-19 10:26:55,361 INFO org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher: 59% complete
2013-02-19 10:27:59,666 ERROR org.apache.hadoop.hdfs.DFSClient: Exception closing file <hdfspath>/oozie-oozi/0000105-130218000850190-oozie-oozi-W/aggregateData--pig/output/_temporary/_attempt_201302180007_0380_m_000000_0/part-00000 : org.apache.hadoop.ipc.RemoteException: org.apache.hadoop.hdfs.server.namenode.LeaseExpiredException: No lease on <hdfspath>/oozie-oozi/0000105-130218000850190-oozie-oozi-W/aggregateData--pig/output/_temporary/_attempt_201302180007_0380_m_000000_0/part-00000 File does not exist. Holder DFSClient_attempt_201302180007_0380_m_000000_0 does not have any open files.
at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.checkLease(FSNamesystem.java:1664)
at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.checkLease(FSNamesystem.java:1655)
at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.completeFileInternal(FSNamesystem.java:1710)
at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.completeFile(FSNamesystem.java:1698)
at org.apache.hadoop.hdfs.server.namenode.NameNode.complete(NameNode.java:793)
at sun.reflect.GeneratedMethodAccessor34.invoke(Unknown Source)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25)
at java.lang.reflect.Method.invoke(Method.java:597)
at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:557)
at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:1439)
at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:1435)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:396)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1278)
at org.apache.hadoop.ipc.Server$Handler.run(Server.java:1433)
以下是主要工作流程和一个子工作流程的示例。
主要工作流程:
<workflow-app xmlns="uri:oozie:workflow:0.2" name="MainProcess">
<start to="forkProcessMain"/>
<fork name="forkProcessMain">
<path start="Proc1"/>
<path start="Proc2"/>
<path start="Proc3"/>
</fork>
<join name="joinProcessMain" to="end"/>
<action name="Proc1">
<sub-workflow>
<app-path>${nameNode}${wfPath}/proc1_workflow.xml</app-path>
<propagate-configuration/>
</sub-workflow>
<ok to="joinProcessMain"/>
<error to="fail"/>
</action>
<action name="Proc2">
<sub-workflow>
<app-path>${nameNode}${wfPath}/proc2_workflow.xml</app-path>
<propagate-configuration/>
</sub-workflow>
<ok to="joinProcessMain"/>
<error to="fail"/>
</action>
<action name="Proc3">
<sub-workflow>
<app-path>${nameNode}${wfPath}/proc3_workflow.xml</app-path>
<propagate-configuration/>
</sub-workflow>
<ok to="joinProcessMain"/>
<error to="fail"/>
</action>
<kill name="fail">
<message>WF Failure, 'wf:lastErrorNode()' failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
</kill>
<end name="end"/>
子的工作流程:
<workflow-app xmlns="uri:oozie:workflow:0.2" name="Sub Process">
<start to="Step1"/>
<action name="Step1">
<java>
<job-tracker>${jobTracker}</job-tracker>
<name-node>${nameNode}</name-node>
<prepare>
<delete path="${step1JoinOutputPath}"/>
</prepare>
<configuration>
<property>
<name>mapred.queue.name</name>
<value>${queueName}</value>
</property>
</configuration>
<main-class>com.absd.mr.step1</main-class>
<arg>${wf:name()}</arg>
<arg>${wf:id()}</arg>
<arg>${tbMasterDataOutputPath}</arg>
<arg>${step1JoinOutputPath}</arg>
<arg>${tbQueryKeyPath}</arg>
<capture-output/>
</java>
<ok to="generateValidQueryKeys"/>
<error to="fail"/>
</action>
<action name="generateValidQueryKeys">
<pig>
<job-tracker>${jobTracker}</job-tracker>
<name-node>${nameNode}</name-node>
<prepare>
<delete path="${tbValidQuerysOutputPath}"/>
</prepare>
<configuration>
<property>
<name>pig.tmpfilecompression</name>
<value>true</value>
</property>
<property>
<name>pig.tmpfilecompression.codec</name>
<value>lzo</value>
</property>
<property>
<name>pig.output.map.compression</name>
<value>true</value>
</property>
<property>
<name>pig.output.map.compression.codec</name>
<value>lzo</value>
</property>
<property>
<name>pig.output.compression</name>
<value>true</value>
</property>
<property>
<name>pig.output.compression.codec</name>
<value>lzo</value>
</property>
<property>
<name>mapred.compress.map.output</name>
<value>true</value>
</property>
</configuration>
<script>${pigDir}/tb_calc_valid_accounts.pig</script>
<param>csvFilesDir=${csvFilesDir}</param>
<param>step1JoinOutputPath=${step1JoinOutputPath}</param>
<param>tbValidQuerysOutputPath=${tbValidQuerysOutputPath}</param>
<param>piMinFAs=${piMinFAs}</param>
<param>piMinAccounts=${piMinAccounts}</param>
<param>parallel=80</param>
</pig>
<ok to="aggregateAumData"/>
<error to="fail"/>
</action>
<action name="aggregateAumData">
<pig>
<job-tracker>${jobTracker}</job-tracker>
<name-node>${nameNode}</name-node>
<prepare>
<delete path="${tbCacheDataPath}"/>
</prepare>
<configuration>
<property>
<name>pig.tmpfilecompression</name>
<value>true</value>
</property>
<property>
<name>pig.tmpfilecompression.codec</name>
<value>lzo</value>
</property>
<property>
<name>pig.output.map.compression</name>
<value>true</value>
</property>
<property>
<name>pig.output.map.compression.codec</name>
<value>lzo</value>
</property>
<property>
<name>pig.output.compression</name>
<value>true</value>
</property>
<property>
<name>pig.output.compression.codec</name>
<value>lzo</value>
</property>
<property>
<name>mapred.compress.map.output</name>
<value>true</value>
</property>
</configuration>
<script>${pigDir}/aggregationLogic.pig</script>
<param>csvFilesDir=${csvFilesDir}</param>
<param>tbValidQuerysOutputPath=${tbValidQuerysOutputPath}</param>
<param>tbCacheDataPath=${tbCacheDataPath}</param>
<param>currDate=${date}</param>
<param>udfJarPath=${nameNode}${wfPath}/lib</param>
<param>parallel=150</param>
</pig>
<ok to="loadDataToDB"/>
<error to="fail"/>
</action>
<kill name="fail">
<message>WF Failure, 'wf:lastErrorNode()' failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
</kill>
<end name="end"/>
答案 0 :(得分:1)
当我们并行运行三个猪行动并且其中一个失败时,我们遇到了同样的错误。该消息错误是意外的工作流停止的结果,因为一个操作失败,工作流停止,其他操作正在尝试继续。 您必须查看状态为 ERROR 的失败操作才能知道发生了什么,不查看状态为KILLED的操作