hdfs dfs -mkdir -p /oozie/input

vim wordcount.txt

hdfs dfs -put wordcount.txt /oozie/input

hadoop jar /export/servers/hadoop-2.6.0-cdh5.14.0/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.6.0-cdh5.14.0.jar   wordcount  /oozie/input/  /oozie/output

第三步：准备调度的资源

将需要调度的资源都准备好放到一个文件夹下面去，包括jar包，job.properties，以及workflow.xml。

拷贝MR的任务模板

删掉MR任务模板lib目录下自带的jar包

第三步：拷贝的jar包到对应目录

从上一步的删除当中，可以看到需要调度的jar包存放在了

/export/servers/oozie-4.1.0-cdh5.14.0/oozie_works/map-reduce/lib这个目录下，所以我们把我们需要调度的jar包也放到这个路径下即可

cp /export/servers/hadoop-2.6.0-cdh5.14.0/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.6.0-cdh5.14.0.jar /export/servers/oozie-4.1.0-cdh5.14.0/oozie_works/map-reduce/lib/

第四步：修改配置文件

修改job.properties

cd /export/servers/oozie-4.1.0-cdh5.14.0/oozie_works/map-reduce

vim job.properties

nameNode=hdfs://node01:8020
jobTracker=node01:8032
queueName=default
examplesRoot=oozie_worksoozie.wf.application.path=${nameNode}/user/${user.name}/${examplesRoot}/map-reduce/workflow.xml
outputDir=/oozie/output
inputdir=/oozie/input

修改workflow.xml

cd /export/servers/oozie-4.1.0-cdh5.14.0/oozie_works/map-reduce

vim workflow.xml

<?xml version="1.0" encoding="UTF-8"?>
<!--Licensed to the Apache Software Foundation (ASF) under oneor more contributor license agreements.  See the NOTICE filedistributed with this work for additional informationregarding copyright ownership.  The ASF licenses this fileto you under the Apache License, Version 2.0 (the"License"); you may not use this file except in compliancewith the License.  You may obtain a copy of the License athttp://www.apache.org/licenses/LICENSE-2.0Unless required by applicable law or agreed to in writing, softwaredistributed under the License is distributed on an "AS IS" BASIS,WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.See the License for the specific language governing permissions andlimitations under the License.
-->
<workflow-app xmlns="uri:oozie:workflow:0.5" 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="${nameNode}/${outputDir}"/></prepare><configuration><property><name>mapred.job.queue.name</name><value>${queueName}</value></property><!--  <property><name>mapred.mapper.class</name><value>org.apache.oozie.example.SampleMapper</value></property><property><name>mapred.reducer.class</name><value>org.apache.oozie.example.SampleReducer</value></property><property><name>mapred.map.tasks</name><value>1</value></property><property><name>mapred.input.dir</name><value>/user/${wf:user()}/${examplesRoot}/input-data/text</value></property><property><name>mapred.output.dir</name><value>/user/${wf:user()}/${examplesRoot}/output-data/${outputDir}</value></property>--><!-- 开启使用新的API来进行配置 --><property><name>mapred.mapper.new-api</name><value>true</value></property><property><name>mapred.reducer.new-api</name><value>true</value></property><!-- 指定MR的输出key的类型 --><property><name>mapreduce.job.output.key.class</name><value>org.apache.hadoop.io.Text</value></property><!-- 指定MR的输出的value的类型--><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>${nameNode}/${inputdir}</value></property><!-- 指定输出路径 --><property><name>mapred.output.dir</name><value>${nameNode}/${outputDir}</value></property><!-- 指定执行的map类 --><property><name>mapreduce.job.map.class</name><value>org.apache.hadoop.examples.WordCount$TokenizerMapper</value></property><!-- 指定执行的reduce类 --><property><name>mapreduce.job.reduce.class</name><value>org.apache.hadoop.examples.WordCount$IntSumReducer</value></property><!--  配置map task的个数 --><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>

第五步：上传调度任务到hdfs对应目录

第六步：执行调度任务

执行调度任务，然后通过oozie的11000端口进行查看任务结果

cd /export/servers/oozie-4.1.0-cdh5.14.0

bin/oozie job -oozie http://node03:11000/oozie -config oozie_works/map-reduce/job.properties -run

第七步：查看调度结果