在實際工作當中,肯定會存在多個任務需要執行,並且存在上一個任務的輸出結果作爲下一個任務的輸入數據這樣的情況,所以我們需要在workflow.xml配置文件當中配置多個action,實現多個任務之間的相互依賴關係
需求:首先執行一個shell腳本,執行完了之後再執行一個MR的程序,最後再執行一個hive的程序
第一步:準備工作目錄
cd /export/servers/oozie-4.1.0-cdh5.14.0/oozie_works
mkdir -p sereval-actions
第二步:準備調度文件
將我們之前的hive,shell,以及MR的執行,進行串聯成到一個workflow當中去,準備資源文件
cd /export/servers/oozie-4.1.0-cdh5.14.0/oozie_works
cp hive2/script.q sereval-actions/
cp shell/hello.sh sereval-actions/
cp -ra map-reduce/lib sereval-actions/
第三步:開發調度的配置文件
cd /export/servers/oozie-4.1.0-cdh5.14.0/oozie_works/sereval-actions
創建配置文件workflow.xml並編輯
vim workflow.xml
<workflow-app xmlns="uri:oozie:workflow:0.4" name="shell-wf">
<start to="shell-node"/>
<action name="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>${queueName}</value>
</property>
</configuration>
<exec>${EXEC}</exec>
<!-- <argument>my_output=Hello Oozie</argument> -->
<file>/user/root/oozie_works/sereval-actions/${EXEC}#${EXEC}</file>
<capture-output/>
</shell>
<ok to="mr-node"/>
<error to="mr-node"/>
</action>
<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>
-->
<!-- 開啓使用新的API來進行配置 -->
<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的輸出key的類型 -->
<property>
<name>mapreduce.job.output.key.class</name>
<value>org.apache.hadoop.io.Text</value>
</property>
<!-- 指定MR的輸出的value的類型-->
<property>
<name>mapreduce.job.output.value.class</name>
<value>org.apache.hadoop.io.IntWritable</value>
</property>
<!-- 指定輸入路徑 -->
<property>
<name>mapred.input.dir</name>
<value>${nameNode}/${inputdir}</value>
</property>
<!-- 指定輸出路徑 -->
<property>
<name>mapred.output.dir</name>
<value>${nameNode}/${outputDir}</value>
</property>
<!-- 指定執行的map類 -->
<property>
<name>mapreduce.job.map.class</name>
<value>org.apache.hadoop.examples.WordCount$TokenizerMapper</value>
</property>
<!-- 指定執行的reduce類 -->
<property>
<name>mapreduce.job.reduce.class</name>
<value>org.apache.hadoop.examples.WordCount$IntSumReducer</value>
</property>
<!-- 配置map task的個數 -->
<property>
<name>mapred.map.tasks</name>
<value>1</value>
</property>
</configuration>
</map-reduce>
<ok to="hive2-node"/>
<error to="fail"/>
</action>
<action name="hive2-node">
<hive2 xmlns="uri:oozie:hive2-action:0.1">
<job-tracker>${jobTracker}</job-tracker>
<name-node>${nameNode}</name-node>
<prepare>
<delete path="${nameNode}/user/${wf:user()}/${examplesRoot}/output-data/hive2"/>
<mkdir path="${nameNode}/user/${wf:user()}/${examplesRoot}/output-data"/>
</prepare>
<configuration>
<property>
<name>mapred.job.queue.name</name>
<value>${queueName}</value>
</property>
</configuration>
<jdbc-url>${jdbcURL}</jdbc-url>
<script>script.q</script>
<param>INPUT=/user/${wf:user()}/${examplesRoot}/input-data/table</param>
<param>OUTPUT=/user/${wf:user()}/${examplesRoot}/output-data/hive2</param>
</hive2>
<ok to="end"/>
<error to="fail"/>
</action>
<decision name="check-output">
<switch>
<case to="end">
${wf:actionData('shell-node')['my_output'] eq 'Hello Oozie'}
</case>
<default to="fail-output"/>
</switch>
</decision>
<kill name="fail">
<message>Shell action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
</kill>
<kill name="fail-output">
<message>Incorrect output, expected [Hello Oozie] but was [${wf:actionData('shell-node')['my_output']}]</message>
</kill>
<end name="end"/>
</workflow-app>
開發job.properties配置文件
cd /export/servers/oozie-4.1.0-cdh5.14.0/oozie_works/sereval-actions
vim job.properties
nameNode=hdfs://node01:8020
jobTracker=node01:8032
queueName=default
examplesRoot=oozie_works
EXEC=hello.sh
outputDir=/oozie/output
inputdir=/oozie/input
jdbcURL=jdbc:hive2://node03:10000/default
oozie.use.system.libpath=true
# 配置我們文件上傳到hdfs的保存路徑 實際上就是在hdfs 的/user/root/oozie_works/sereval-actions這個路徑下
oozie.wf.application.path=${nameNode}/user/${user.name}/${examplesRoot}/sereval-actions/workflow.xml
第四步:上傳資源文件夾到hdfs對應路徑
cd /export/servers/oozie-4.1.0-cdh5.14.0/oozie_works/
hdfs dfs -put sereval-actions/ /user/root/oozie_works/
第五步:執行調度任務
cd /export/servers/oozie-4.1.0-cdh5.14.0/
bin/oozie job -oozie http://node03:11000/oozie -config oozie_works/serveral-actions/job.properties -run