oozie——mapreduce、mysql2hdfs、hdfs2hive

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<workflow-app xmlns="uri:oozie:workflow:0.1" name="wfmaven">
<start to="mr-node" />
<action name="mr-node">
<map-reduce>
<job-tracker>${jobTracker}</job-tracker>
<name-node>${nameNode}</name-node>
<prepare>
<delete path="${nameNode}/user/${wf:user()}/output-data/${outputDir}" />
</prepare>
<configuration>
<property>
<name>mapred.job.queue.name</name>
<value>${queueName}</value>
</property>
<property>
<name>mapred.mapper.class</name>
<value>com.example.WordCount$TokenizerMapper</value>
</property>
<property>
<name>mapred.reducer.class</name>
<value>com.example.WordCount$IntSumReducer</value>
</property>
<property>
<name>mapred.mapoutput.key.class</name>
<value>org.apache.hadoop.io.Text</value>
</property>
<property>
<name>mapred.mapoutput.value.class</name>
<value>org.apache.hadoop.io.IntWritable</value>
</property>
<property>
<name>mapred.output.key.class</name>
<value>org.apache.hadoop.io.Text</value>
</property>
<property>
<name>mapred.output.value.class</name>
<value>org.apache.hadoop.io.IntWritable</value>
</property>
<property>
<name>mapred.map.tasks</name>
<value>1</value>
</property>
<property>
<name>mapred.input.dir</name>
<value>/user/${wf:user()}/input-data/text</value>
</property>
<property>
<name>mapred.output.dir</name>
<value>/user/${wf:user()}/output-data/${outputDir}</value>
</property>
</configuration>
</map-reduce>
<ok to="db_dimAd_import" />
<error to="fail" />
</action>
 <action name="db_dimAd_import">
    <sqoop xmlns="uri:oozie:sqoop-action:0.2">
      <job-tracker>${jobTracker}</job-tracker>
 <name-node>${nameNode}</name-node>
      <prepare>
        <delete path="${wf_job_base_path}/sqoop/dimAd/old"/>
      </prepare>
      <configuration>
        <property>
          <name>mapred.job.queue.name</name>
          <value>${queueName}</value>
        </property>
      </configuration>
      <arg>import</arg>
      <arg>-D</arg>
      <arg>mapred.output.compress=false</arg>
      <arg>--connect</arg>
      <arg>jdbc:mysql://${db_hostname}/${db_name}</arg>
      <arg>--table</arg>
      <arg>dimAd</arg>
      <arg>--target-dir</arg>
      <arg>${wf_job_base_path}/sqoop/dimAd/old</arg>
      <arg>--num-mappers</arg>
      <arg>${sqoop_export_mappers_num}</arg>
      <arg>--username</arg>
      <arg>${db_user}</arg>
      <arg>--password</arg>
      <arg>${db_password}</arg>
      <arg>--fields-terminated-by</arg>
      <arg>\001</arg>
    </sqoop>
    <ok to="synchronize_bi_dimdb_to_hive"/>
    <error to="fail"/>
  </action>
    <action name="synchronize_bi_dimdb_to_hive">
        <hive xmlns="uri:oozie:hive-action:0.2">
            <job-tracker>${jobTracker}</job-tracker>
<name-node>${nameNode}</name-node>
            <configuration>
                <property>
          <name>mapred.output.compress</name>
          <value>false</value>
        </property>
                <property>
                    <name>mapred.job.queue.name</name>
                    <value>${queueName}</value>
                </property>
                <property>
                    <name>oozie.hive.defaults</name>
                    <value>hive-site.xml</value>
                </property>
            </configuration>
            <script>synchronize_bi_dimdb_to_hive.q</script>
            <param>app_hive_db_name=${app_hive_db_name}</param>
            <param>dimAd_input=${wf_job_base_path}/sqoop/dimAd/old</param>//此处不写old/ 则可以找到期下的part-m-00000 加了找不到
        </hive>
        <ok to="end"/>
        <error to="fail"/>
  </action>
<kill name="fail">
<message>Map/Reduce failed, error
message[${wf:errorMessage(wf:lastErrorNode())}]</message>
</kill>
<end name="end" />
</workflow-app>