Oozie实现sqoop数据直接导入hive表

1. 创建Oozie工作流目录
2. 在工作流目录下创建lib目录用于添加依赖库文件
3. 编辑workflow.xml(定义Oozie工作流)

<?xml version="1.0" encoding="UTF-8"?>
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  to you under the Apache License, Version 2.0 (the
  "License"); you may not use this file except in compliance
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<workflow-app xmlns="uri:oozie:workflow:0.2" name="${workflowName}">
    <start to="create-hive-table"/>

    <fork name="create-hive-table">
        <path start="import-data-to-hdfs" />
        <path start="import-data-into-hive" />
    </fork>

    <action name="import-data-into-hive">
        <sqoop xmlns="uri:oozie:sqoop-action:0.2">
            <job-tracker>${jobTracker}</job-tracker>
            <name-node>${nameNode}</name-node>
            <prepare>
                <delete path="${nameNode}/apps/hive/warehouse/inner_${mysqlTable}"/>
            </prepare>
            <job-xml>${nameNode}/user/${wf:user()}/${workflowName}/hive-site.xml</job-xml>
            <configuration>
                <property>
                    <name>mapred.job.queue.name</name>
                    <value>${queueName}</value>
                </property>
            </configuration>
            <arg>import</arg>
            <arg>--connect</arg>
            <arg>jdbc:mysql://${mysqlHost}:${mysqlPort}/${mysqlDatabase}</arg>
            <arg>--username</arg>
            <arg>${mysqlUser}</arg>
            <arg>--password</arg>
            <arg>${mysqlPassword}</arg>
            <arg>--table</arg>
            <arg>${mysqlTable}</arg>            
            <arg>--target-dir</arg>
            <arg>/apps/hive/warehouse/inner_${mysqlTable}</arg>
            <arg>--hive-import</arg>
            <arg>--hive-database</arg>
            <arg>default</arg>
            <arg>--hive-table</arg>
            <arg>inner_${mysqlTable}</arg>
            <arg>-m</arg>
            <arg>1</arg>
        </sqoop>
        <ok to="finish-create-hive-table"/>
        <error to="fail"/>
    </action>

    <action name="import-data-to-hdfs">
        <sqoop xmlns="uri:oozie:sqoop-action:0.2">
            <job-tracker>${jobTracker}</job-tracker>
            <name-node>${nameNode}</name-node>
            <prepare>
                <delete path="${nameNode}/user/${wf:user()}/${workflowName}/output/import-data"/>
                <mkdir path="${nameNode}/user/${wf:user()}/${workflowName}/output"/>
            </prepare>
            <configuration>
                <property>
                    <name>mapred.job.queue.name</name>
                    <value>${queueName}</value>
                </property>
            </configuration>
            <arg>import</arg>
            <arg>--connect</arg>
            <arg>jdbc:mysql://${mysqlHost}:${mysqlPort}/${mysqlDatabase}</arg>
            <arg>--username</arg>
            <arg>${mysqlUser}</arg>
            <arg>--password</arg>
            <arg>${mysqlPassword}</arg>
            <arg>--table</arg>
            <arg>${mysqlTable}</arg>            
            <arg>--target-dir</arg>
            <arg>/user/${wf:user()}/${workflowName}/output/import-data</arg>
            <arg>-m</arg>
            <arg>1</arg>
        </sqoop>
        <ok to="decide-import-data"/>
        <error to="fail"/>
    </action>

    <decision name="decide-import-data">
        <switch>
            <case to="create-hive-external-table">${fs:exists(concat(concat(concat(concat("/user/",wf:user()),"/"), workflowName),"/output/import-data"))}</case> 
            <default to="fail"/>
        </switch>
    </decision>

    <action name="create-hive-external-table">
        <hive xmlns="uri:oozie:hive-action:0.2">
            <job-tracker>${jobTracker}</job-tracker>
            <name-node>${nameNode}</name-node>
            <configuration>
                <property>
                    <name>mapred.job.queue.name</name>
                    <value>${queueName}</value>
                </property>
            </configuration>
            <script>create-hive-external-table.q</script>
            <param>INPUT=/user/${wf:user()}/${workflowName}/output/import-data</param>
            <param>TABLE_NAME=external_${mysqlTable}</param>
        </hive>
        <ok to="finish-create-hive-table"/>
        <error to="fail"/>
    </action>

    <join name="finish-create-hive-table" to="end"/>

    <kill name="fail">
        <message>example failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
    </kill>
    <end name="end"/>
</workflow-app>

4. 编辑job.properties（配置工作流）

workflowName=example
nameNode=hdfs://xxxx:8020 # hdfs-site.xml中dfs.namenode.rpc-address指定的地址
jobTracker=xxxx:8050 # yarn-site.xml中yarn.resourcemanager.address指定的地址
queueName=default
oozie.wf.application.path=${nameNode}/user/${user.name}/${workflowName}
oozie.use.system.libpath=true
oozie.action.sharelib.for.sqoop=hive,sqoop #指定具体action使用的共享库
mysqlHost=xxxx
mysqlPort=xxxx
mysqlDatabase=xxxx
mysqlUser=xxxx
mysqlPassword=xxxx
mysqlTable=xxxx

5. 上传Oozie工作流目录至HDFS
6. 上传Oozie共享库至HDFS

hadoop fs -put ${oozie-path}/share /user/oozie

oozie.action.sharelib.for.sqoop=hive,sqoop
修改Oozie工作流配置文件job.properties指定具体action使用的共享库，用于解决异常：Encountered IOException running import job: java.io.IOException: Cannot run program "hive": error=2, No such file or directory。

7. 启动工作流

oozie job -oozie http://xxxx:11000/oozie -config job.properties -run