Different ways of debugging a job in MapReduce?
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What happens when the node running the map task fails before the map output has been sent to the reducer?
Which one will you decide for an undertaking – Hadoop MapReduce or Apache Spark?
What is the sequence of execution of map, reduce, recordreader, split, combiner, partitioner?
what is distributed cache in mapreduce framework?
What combiners are and when you should use a combiner in a mapreduce job?
Explain about the basic parameters of mapper and reducer function
What is the utility of using Writable Comparable Custom Class in Map Reduce code?
How to write a custom partitioner for a Hadoop MapReduce job?
How does MapReduce framework view its input internally?
Describe what happens to a mapreduce job from submission to output?
What is the role of recordreader in hadoop mapreduce?
How is reporting controlled in hadoop?
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