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Can you elaborate Mapreduce Job architecture?

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First Hadoop programmer submit Mpareduce program to JobClient. Job Client request the JobTracker to get Job id, Job tracker provide JobID, its’s in the form of Job_HadoopStartedtime_00001. It’s unique ID. Once JobClient receive received Job ID copy the Job resources (job.xml, job.jar) to File System (HDFS) and submit job to JobTracker. JobTracker initiate Job and schedule the job. Based on configuration, job split the input splits and submit to HDFS. TaskTracker retrive the job resources from HDFS and launch Child JVM. In this Child JVM, run the map and reduce tasks and notify to the Job tracker the job status.

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