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What Is The Difference Between Mapreduce 1 And Mapreduce 2/yarn? |
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Answer» In MapReduce 1, Hadoop centralized all tasks to the Job Tracker. It ALLOCATES resources and scheduling the jobs across the cluster. In YARN, de-centralized this to ease the work pressure on the Job Tracker. Resource Manager responsibility allocate resources to the particular nodes and Node manager schedule the jobs on the application MASTER. YARN allows parallel EXECUTION and Application Master managing and execute the job. This approach can ease many Job Tracker problems and improves to scale up ability and optimize the job performance. Additionally YARN can allows to CREATE multiple applications to scale up on the distributed ENVIRONMENT. In MapReduce 1, Hadoop centralized all tasks to the Job Tracker. It allocates resources and scheduling the jobs across the cluster. In YARN, de-centralized this to ease the work pressure on the Job Tracker. Resource Manager responsibility allocate resources to the particular nodes and Node manager schedule the jobs on the application Master. YARN allows parallel execution and Application Master managing and execute the job. This approach can ease many Job Tracker problems and improves to scale up ability and optimize the job performance. Additionally YARN can allows to create multiple applications to scale up on the distributed environment. |
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