oozie 运行demo

昨晚装好了oozie，能启动了，而且配置了mysql做为数据库，好了，今天要执行oozie自带的demo了，好家伙，一执行就报错！报错不少，就不一一列举了，就说我最后解决的方法吧。

oozie job -oozie http://localhost:11000/oozie -config examples/apps/map-reduce/job.properties –run

这句话须要在oozie的目录里面执行，而后在网上查了不少资料，最后搞定了，须要修改三个配置文件。

在说修改配置文件以前，还漏了一些东西，先补上，首先咱们须要解压目录下面的oozie-examples.tar.gz，oozie-client-3.3.2.tar.gz，

oozie-sharelib-3.3.2.tar.gz，而后把examples和share目录上传到fs上面去。

hadoop fs -put examples examples

hadoop fs -put share share

而后在/etc/profile配置oozie-client的环境变量。

接下来讲怎么解决的oozie的吧。

1.修改oozie的conf目录下的oozie-site.xml

增长如下内容：

 

<property>  
       <name>oozie.services</name>  
        <value>  
            org.apache.oozie.service.SchedulerService,   
            org.apache.oozie.service.InstrumentationService,   
            org.apache.oozie.service.CallableQueueService,   
            org.apache.oozie.service.UUIDService,   
            org.apache.oozie.service.ELService,   
            org.apache.oozie.service.AuthorizationService,      
            org.apache.oozie.service.MemoryLocksService,   
            org.apache.oozie.service.DagXLogInfoService,   
            org.apache.oozie.service.SchemaService,   
            org.apache.oozie.service.LiteWorkflowAppService,   
            org.apache.oozie.service.JPAService,   
            org.apache.oozie.service.StoreService,   
            org.apache.oozie.service.CoordinatorStoreService,   
            org.apache.oozie.service.SLAStoreService,   
            org.apache.oozie.service.DBLiteWorkflowStoreService,   
            org.apache.oozie.service.CallbackService,   
            org.apache.oozie.service.ActionService,   
            org.apache.oozie.service.ActionCheckerService,   
            org.apache.oozie.service.RecoveryService,   
            org.apache.oozie.service.PurgeService,   
            org.apache.oozie.service.CoordinatorEngineService,   
            org.apache.oozie.service.BundleEngineService,   
            org.apache.oozie.service.DagEngineService,   
            org.apache.oozie.service.CoordMaterializeTriggerService,   
            org.apache.oozie.service.StatusTransitService,   
            org.apache.oozie.service.PauseTransitService, 
        org.apache.oozie.service.HadoopAccessorService  
        </value>  
        <description>  
            All services to be created and managed by Oozie Services singleton.   
            Class names must be separated by commas.   
        </description>  
    </property>

<property> 
       <name>oozie.service.ProxyUserService.proxyuser.cenyuhai.hosts</name> 
       <value>*</value> 
       <description> 
           List of hosts the '#USER#' user is allowed to perform 'doAs' 
           operations.

           The '#USER#' must be replaced with the username o the user who is 
           allowed to perform 'doAs' operations.

           The value can be the '*' wildcard or a list of hostnames.

           For multiple users copy this property and replace the user name 
           in the property name. 
       </description> 
   </property>

   <property> 
       <name>oozie.service.ProxyUserService.proxyuser.cenyuhai.groups</name> 
       <value>*</value> 
       <description> 
           List of groups the '#USER#' user is allowed to impersonate users 
           from to perform 'doAs' operations.

           The '#USER#' must be replaced with the username o the user who is 
           allowed to perform 'doAs' operations.

           The value can be the '*' wildcard or a list of groups.

           For multiple users copy this property and replace the user name 
           in the property name. 
       </description> 
   </property> 

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2.修改oozie-env.sh，增长如下内容

export OOZIE_CONF=${OOZIE_HOME}/conf 
export OOZIE_DATA=${OOZIE_HOME}/data 
export OOZIE_LOG=${OOZIE_HOME}/logs 
export CATALINA_BASE=${OOZIE_HOME}/oozie-server 
export CATALINA_TMPDIR=${OOZIE_HOME}/oozie-server/temp 
export CATALINA_OUT=${OOZIE_LOG}/catalina.out

 

3.修改全部节点的hadoop的配置文件core-site.xml,

<property> 
    <name>hadoop.proxyuser.cenyuhai.hosts</name> 
    <value>hadoop.Master</value> 
 </property> 
 <property> 
    <name>hadoop.proxyuser.cenyuhai.groups</name> 
    <value>cenyuhai</value> 
</property>

而后重启就能够执行了，里面的cenyuhai是个人本机帐号。

 

补充：在进行完上述配置以后，做业能够提交了，可是提交了MR做业以后，在web页面中查看，遇到了一个错误：

 JA006: Call to localhost/127.0.0.1:9001 failed on connection exception: java.net.ConnectException: Connection refused

 这个问题排查了好久，都没有获得解决 ，最后经过修改job.properties，把jobTracker从localhost：9001改为下面的全称才行，这个可能跟个人hadoop的

 jobTracker设置有关，因此遇到有这方面问题的童鞋能够试试。

nameNode=hdfs://192.168.1.133:9000
jobTracker=http://192.168.1.133:9001

接下来咱们接着运行hive的demo，运行以前记得修改hive的demo的job.properties，改成上面写的那样。

而后提交，提交成功了，可是在web页面上查看状态为KILLED，被干掉了。。。

错误代码：JA018，错误消息：org/apache/hadoop/hive/cli/CliDriver

而后我就想着多是jar包的问题，删掉share目录下的hive目录里的全部jar包，而后把本身机器上的hive的全部jar包复制到该目录下。

而后上传到共享目录上：

hadoop fs -put share share

再次提交，就能够查看到成功的状态啦！

oozie job -oozie http://localhost:11000/oozie -config examples/apps/hive/job.properties -run

可是这个坑爹的玩意儿，实际上是把数据插入到了Derby中。。。无语了，虽然现实成功了，可是没有用。。。由于咱们配置了外置的mysql数据库，那怎么办呢？

须要修改workflow.xml，把其中的configuration的配置节改为下面的样子。

<configuration>
                <property>
                    <name>mapred.job.queue.name</name>
                    <value>${queueName}</value>
                </property>
        <property>
                <name>hive.metastore.local</name>
                <value>true</value>
            </property>
            <property>
                <name>javax.jdo.option.ConnectionURL</name>
                <value>jdbc:mysql://192.168.1.133:3306/hive?createDatabaseIfNotExist=true</value>
            </property>
            <property>
                    <name>javax.jdo.option.ConnectionDriverName</name>
                <value>com.mysql.jdbc.Driver</value>
            </property>
            <property>
                <name>javax.jdo.option.ConnectionUserName</name>
                    <value>hive</value>
            </property>
            <property>
                <name>javax.jdo.option.ConnectionPassword</name>
                <value>mysql</value>
               </property>
        <property>  
              <name>hive.metastore.warehouse.dir</name>  
              <value>/user/hive/warehouse</value>
        </property> 
 </configuration>

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而后提交以后，在hive中就能够查询到你所创建的表啦，oh，yeah！