What is the job of blend () and repartition () in Map Reduce?
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In which kind of scenarios MapReduce jobs will be more useful than PIG in Hadoop?
Explain the sequence of execution of all the components of MapReduce like a map, reduce, recordReader, split, combiner, partitioner, sort, shuffle.
What is a partitioner and how the user can control which key will go to which reducer?
Can MapReduce program be written in any language other than Java?
what happens when Hadoop spawned 50 tasks for a job and one of the task failed?
Is it important for Hadoop MapReduce jobs to be written in Java?
What is InputFormat in Hadoop MapReduce?
What are combiners? When should I use a combiner in my MapReduce Job?
How to get the single file as the output from MapReduce Job?
how is data partitioned before it is sent to the reducer if no custom partitioner is defined in Hadoop?
What is the difference between HDFS block and input split?
What is the difference between Job and Task in MapReduce?
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