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Where sorting is done in Hadoop MapReduce Job?
What are the configuration parameters in the 'MapReduce' program?
How many times combiner is called on a mapper node in Hadoop?
Explain about the partitioning, shuffle and sort phase in MapReduce?
Does Partitioner run in its own JVM or shares with another process?
Why MapReduce uses the key-value pair to process the data?
What is Distributed Cache in the MapReduce Framework?
How to create a custom key and custom value in MapReduce Job?
Is reduce-only job possible in Hadoop MapReduce?
How to optimize MapReduce Job?
In MapReduce how to change the name of the output file from part-r-00000?
In MapReduce Data Flow, when Combiner is called?
Differentiate Reducer and Combiner in Hadoop MapReduce?
What is the key- value pair in MapReduce?
A number of combiners can be changed or not in MapReduce?
