Oozie快速入门系列(2) | 一文带你快速了解Oozie的使用(超详细！！！)

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  此篇为大家带来的是Oozie的使用。

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一. Oozie调度shell脚本

  目标：使用Oozie调度Shell脚本
  大体过程如下：

• 1. 创建工作目录

[bigdata@hadoop002 oozie-4.0.0-cdh5.3.6]$ mkdir oozie-apps/
[bigdata@hadoop002 oozie-apps]$ mkdir shell
[bigdata@hadoop002 oozie-apps]$ cd shell/

• 2. 新建所需要的两个文件——job.properties和workflow.xml文件

// 定义工作流程
[bigdata@hadoop002 shell]$ touch workflow.xml
// 
[bigdata@hadoop002 shell]$ touch job.properties

• 3. 修改job.properties和workflow.xml文件

// 1. job.properties
#HDFS地址
nameNode=hdfs://hadoop002:8020
#ResourceManager地址
jobTracker=hadoop003:8032
#队列名称
queueName=default
examplesRoot=oozie-apps
oozie.wf.application.path=${nameNode}/user/${user.name}/${examplesRoot}/shell


// 2. workflow.xml
<workflow-app xmlns="uri:oozie:workflow:0.4" name="shell-wf">
<!--开始节点-->
<start to="shell-node"/>
<!--动作节点-->
<action name="shell-node">
    <!--shell动作-->
    <shell xmlns="uri:oozie:shell-action:0.2">
        <job-tracker>${jobTracker}</job-tracker>
        <name-node>${nameNode}</name-node>
        <configuration>
            <property>
                <name>mapred.job.queue.name</name>
                <value>${queueName}</value>
            </property>
        </configuration>
        <!--要执行的脚本-->
        <exec>mkdir</exec>
        <argument>/opt/module/d</argument>
        <capture-output/>
    </shell>
    <ok to="end"/>
    <error to="fail"/>
</action>
<!--kill节点-->
<kill name="fail">
    <message>Shell action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
</kill>
<!--结束节点-->
<end name="end"/>
</workflow-app>

• 4. 上传任务配置

[bigdata@hadoop002 hadoop-2.5.0-cdh5.3.6]$ bin/hadoop fs -put /opt/module/oozie-4.0.0-cdh5.3.6/oozie-apps/ /user/bigdata

• 5. 执行任务

[bigdata@hadoop002 oozie-4.0.0-cdh5.3.6]$ bin/oozie job -oozie http://hadoop002:11000/oozie -config oozie-apps/shell/job.properties -run

  web端查看

  程序流程图对比

二. Oozie逻辑调度执行多个Job

  使用Oozie执行多个Job调度，过程如下图

• 1. 新建文件夹及文件

[bigdata@hadoop002 oozie-apps]$ mkdir xshell
[bigdata@hadoop002 oozie-apps]$ cd xshell/
[bigdata@hadoop002 xshell]$ touch workflow.xml
[bigdata@hadoop002 xshell]$ touch job.properties

• 2. 编辑job.properties和workflow.xml文件

// 1. job.properties

nameNode=hdfs://hadoop002:8020
jobTracker=hadoop003:8032
queueName=default
examplesRoot=oozie-apps
oozie.wf.application.path=${nameNode}/user/${user.name}/${examplesRoot}/xshell

// 2. workflow.xml

<workflow-app xmlns="uri:oozie:workflow:0.4" name="shell-wf">
    <start to="p1-shell-node"/>
    <action name="p1-shell-node">
        <shell xmlns="uri:oozie:shell-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>
            <exec>mkdir</exec>
            <argument>/opt/module/d1</argument>
            <capture-output/>
        </shell>
        <ok to="forking"/>
        <error to="fail"/>
    </action>

    <action name="p2-shell-node">
        <shell xmlns="uri:oozie:shell-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>
            <exec>mkdir</exec>
            <argument>/opt/module/d2</argument>
            <capture-output/>
        </shell>
        <ok to="joining"/>
        <error to="fail"/>
    </action>
    
    <action name="p3-shell-node">
        <shell xmlns="uri:oozie:shell-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>
            <exec>mkdir</exec>
            <argument>/opt/module/d3</argument>
            <capture-output/>
        </shell>
        <ok to="joining"/>
        <error to="fail"/>
    </action>

    <action name="p4-shell-node">
        <shell xmlns="uri:oozie:shell-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>
            <exec>mkdir</exec>
            <argument>/opt/module/d4</argument>
            <capture-output/>
        </shell>
        <ok to="end"/>
        <error to="fail"/>
    </action>

	<fork name="forking">
		<path start = "p2-shell-node"/>
		<path start = "p3-shell-node"/>
	</fork>

	<join name="joining" to="p4-shell-node"/>
		
    
    <kill name="fail">
        <message>Shell action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
    </kill>
    <end name="end"/>
</workflow-app>

  下图为流程图

• 3. 上传任务配置

[bigdata@hadoop002 hadoop-2.5.0-cdh5.3.6]$ bin/hadoop fs -rm -r -f  /user/bigdata/oozie-apps/
[bigdata@hadoop002 hadoop-2.5.0-cdh5.3.6]$ bin/hadoop fs -put /opt/module/oozie-4.0.0-cdh5.3.6/oozie-apps/ /user/bigdata/

• 4. 执行任务

[bigdata@hadoop002 oozie-4.0.0-cdh5.3.6]$ bin/oozie job -oozie http://hadoop002:11000/oozie -config oozie-apps/xshell/job.properties -run

三. Oozie调度MapReduce任务

目标：使用Oozie调度MapReduce任务

• 1. 解压oozie官方案例到ozzie根目录下
  

[bigdata@hadoop002 oozie-4.0.0-cdh5.3.6]$ tar -zxvf oozie-examples.tar.gz 

• 2. 进入到所解压的目录下

[bigdata@hadoop002 oozie-4.0.0-cdh5.3.6]$ cd examples/
[bigdata@hadoop002 examples]$ cd apps/

• 3.拷贝官方模板到oozie-apps

[bigdata@hadoop002 apps]$ cp -r map-reduce/ ../../oozie-apps/
[bigdata@hadoop002 oozie-4.0.0-cdh5.3.6]$ cd oozie-apps/

// 删除多余的这两个文件，暂时用不到
[bigdata@hadoop002 map-reduce]$ rm job-with-config-class.properties workflow-with-config-class.xml

// 官方案例jar包
[bigdata@hadoop002 map-reduce]$ cp /opt/module/cdh/hadoop-2.5.0-cdh5.3.6/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.5.0-cdh5.3.6.jar lib/

• 4. 配置map-reduce任务的job.properties以及workflow.xml

// 1. job.properties
nameNode=hdfs://hadoop002:8020
jobTracker=hadoop003:8032
queueName=default
examplesRoot=oozie-apps
#hdfs://hadoop002:8020/user/admin/oozie-apps/map-reduce/workflow.xml
oozie.wf.application.path=${nameNode}/user/${user.name}/${examplesRoot}/map-reduce/workflow.xml
outputDir=map-reduce

// 2. workflow.xml
<workflow-app xmlns="uri:oozie:workflow:0.2" name="map-reduce-wf">
    <start to="mr-node"/>
    <action name="mr-node">
        <map-reduce>
            <job-tracker>${jobTracker}</job-tracker>
            <name-node>${nameNode}</name-node>
            <prepare>
                <delete path="${nameNode}/output/"/>
            </prepare>
            <configuration>
                <property>
                    <name>mapred.job.queue.name</name>
                    <value>${queueName}</value>
                </property>
                <!-- 配置调度MR任务时，使用新的API -->
                <property>
                    <name>mapred.mapper.new-api</name>
                    <value>true</value>
                </property>

                <property>
                    <name>mapred.reducer.new-api</name>
                    <value>true</value>
                </property>

                <!-- 指定Job Key输出类型 -->
                <property>
                    <name>mapreduce.job.output.key.class</name>
                    <value>org.apache.hadoop.io.Text</value>
                </property>

                <!-- 指定Job Value输出类型 -->
                <property>
                    <name>mapreduce.job.output.value.class</name>
                    <value>org.apache.hadoop.io.IntWritable</value>
                </property>

                <!-- 指定输入路径 -->
                <property>
                    <name>mapred.input.dir</name>
                    <value>/input/</value>
                </property>

                <!-- 指定输出路径 -->
                <property>
                    <name>mapred.output.dir</name>
                    <value>/output/</value>
                </property>

                <!-- 指定Map类 -->
                <property>
                    <name>mapreduce.job.map.class</name>
                    <value>org.apache.hadoop.examples.WordCount$TokenizerMapper</value>
                </property>

                <!-- 指定Reduce类 -->
                <property>
                    <name>mapreduce.job.reduce.class</name>
                    <value>org.apache.hadoop.examples.WordCount$IntSumReducer</value>
                </property>

                <property>
                    <name>mapred.map.tasks</name>
                    <value>1</value>
                </property>
            </configuration>
        </map-reduce>
        <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>

• 5. 上传配置好的app文件夹到HDFS

[bigdata@hadoop002 hadoop-2.5.0-cdh5.3.6]$ bin/hdfs dfs -put /opt/module/oozie-4.0.0-cdh5.3.6/oozie-apps/map-reduce/ /user/bigdata/oozie-apps

• 6. 执行任务

[bigdata@hadoop002 oozie-4.0.0-cdh5.3.6]$ bin/oozie job -oozie http://hadoop002:11000/oozie -config oozie-apps/map-reduce/job.properties -run
// 下图为为正在跑的任务

  本次的分享就到这里了,

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