本workflow位于oozie目录下新创建的一个oozie-apps文件夹下的shell文件夹中。
作用为:用hive执行 hive -f user.sql 语句
shell:
1、job.properties
2、test.sh (shell脚本)
3、user.sql (hive的一个查询语句)
3、workflow.xml
将整个oozie-apps文件夹上传到hdfs的对应用户目录下
然后运行程序
bin/oozie job -config oozie-apps/shell/job.properties -run
user.sql
insert overwrite directory '/user/bpf/ozzie/datas/shell/output'
select * from default.user
test.sh
#!/bin/bash
/opt/cdh-5.5.0/hive-1.1.0-cdh5.5.0/bin/hive -f user.sql
job.properties
nameNode=hdfs://BPF:9000
jobTracker=BPF:8032
queueName=default
oozieappsRoot=user/bpf/oozie-apps
DataRoot=user/bpf/oozie/datas
EXEC=test.sh
script=user.sql
oozie.wf.application.path=${nameNode}/${oozieappsRoot}/shell/workflow.xml
workflow.xml
<workflow-app xmlns="uri:oozie:workflow:0.5" 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>
<file>${nameNode}/${oozieappsRoot}/shell/${EXEC}#${EXEC}</file>
<file>${nameNode}/${oozieappsRoot}/shell/${script}#${script}</file>
<capture-output/>
</shell>
<ok to="end"/>
<error to="fail"/>
</action>
<kill name="fail">
<message>Shell action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
</kill>
<end name="end"/>
</workflow-app>