What are the various configuration parameters required to run a mapreduce job?
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How to set the number of reducers?
What is the sequence of execution of map, reduce, recordreader, split, combiner, partitioner?
In Hadoop, which file controls reporting in Hadoop?
Can we submit the mapreduce job from slave node?
How is Spark not quite the same as MapReduce? Is Spark quicker than MapReduce?
Explain JobConf in MapReduce.
what is the Hadoop MapReduce APIs contract for a key and value class?
If reducers do not start before all mappers finish then why does the progress on mapreduce job shows something like map(50%) reduce(10%)? Why reducers progress percentage is displayed when mapper is not finished yet?
How data is spilt in Hadoop?
What do you understand by compute and storage nodes?
How do you stop a running job gracefully?
Explain the input type/format in mapreduce by default?
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