- First step was to create a folder called streaming on my local machine and copying of mapper.py, reducer.py into the streaming folder, i also create the place holder for job.properties and workflow.xml
- Next i did create a job.properties file like this
Now this job.properties is quite similar to the job.properties for java mapreduce job, only difference is you must set
oozie.use.system.libpath=true
, by default the streaming related jars are not included in the classpath, so unless you set that value to true you will get following error2014-07-23 06:15:13,170 WARN org.apache.hadoop.mapred.Child: Error running child java.lang.RuntimeException: java.lang.RuntimeException: java.lang.ClassNotFoundException: Class org.apache.hadoop.streaming.Pi peMapRunner not found at org.apache.hadoop.conf.Configuration.getClass(Configuration.java:1649) at org.apache.hadoop.mapred.JobConf.getMapRunnerClass(JobConf.java:1010) at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:413) at org.apache.hadoop.mapred.MapTask.run(MapTask.java:332) at org.apache.hadoop.mapred.Child$4.run(Child.java:268) at java.security.AccessController.doPrivileged(Native Method) at javax.security.auth.Subject.doAs(Subject.java:396) at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1408) at org.apache.hadoop.mapred.Child.main(Child.java:262) Caused by: java.lang.RuntimeException: java.lang.ClassNotFoundException: Class org.apache.hadoop.streaming.PipeMapRunner not f ound at org.apache.hadoop.conf.Configuration.getClass(Configuration.java:1617) at org.apache.hadoop.conf.Configuration.getClass(Configuration.java:1641) ... 8 more Caused by: java.lang.ClassNotFoundException: Class org.apache.hadoop.streaming.PipeMapRunner not found at org.apache.hadoop.conf.Configuration.getClassByName(Configuration.java:1523) at org.apache.hadoop.conf.Configuration.getClass(Configuration.java:1615) ... 9 more 2014-07-23 06:15:13,175 INFO org.apache.hadoop.mapred.Task: Runnning cleanup for the task
-
Next step in the process is to create workflow.xml file like this, make sure to add
<file>mapper.py#mapper.py</file>
element in the workflow.xml, which takes care of putting the mapper.py and reducer.py in the sharedlib and creating symbolic link to these two files. -
Upload the streaming folder with all your changes on hdfs by executing following command
hdfs dfs -put streaming streaming
- You can trigger the oozie workflow by executing following command
oozie job -oozie http://localhost:11000/oozie -config streaming/job.properties -run
Using Apache Oozie for automating streaming map-reduce job
In the
WordCount MapReduce program using Hadoop streaming and python i talked about how to create a Streaming map-reduce job using python. I wanted to figure out how to automate that program using Oozie workflow so i followed these steps
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