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coreservlets.com – Hadoop Course - Custom Training Courses
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Course. Oozie. In this exercise, you will have a chance to implement Oozie ...
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coreservlets.com – Hadoop Course Oozie In this exercise, you will have a chance to implement Oozie workflow and get acquainted with deploying, executing and monitoring Oozie MapReduce workflows. Approx. Time: 60 minutes
Perform 1. Start Oozie 2. Implement, deploy, and execute Oozie workflow. This workflow is composed of two steps where step 2 uses the output of step 1. The first step of this workflow calculates the number of occurrences for each distinct token, and the second step computes the average number of occurrences for each start letter. Your output should look something like this: $ hdfs dfs -cat /training/playArea/oozieExerciseWorkflow/part-r-00000 " 1 # 1 ... ... ? 2 A 8 B 5 C 3 ... ... y 17 z 1
You can find a template in the Exercises project but will need to implement workflow.xml and job.properties under /src/main/resources/oozie/workflows/ Run mvn package for Exercises project to assemble and copy job’s contents to $PLAY_AREA/oozie/oozie-exercise-workflow you can then use those artifacts to deploy and run this Oozie workflow. You will need to use Oozie’s Process Definition Language to configure intermediary directory that the first job will use as output and second job as input. Make sure the workflow deletes output and intermediary directories prior starting as well as deleting intermediary directory upon success.
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Solution 1. To start Oozie exeucute start script: $ cd $OOZIE_HOME/bin $ ./oozie-start.sh 2. You will find workflow.xml and job.properties in the Solutions project: src/main/resources/oozie/workflows/workflow.xml src/main/resources/oozie/workflows/job.properties To deploy and execute, run mvn package for Exercise project then copy Oozie application directory to HDFS and utilize oozie command to initiate the workflow: $ $ $ $