What dictates the number of Mappers and reducers that are run in MapReduce?
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No of mappers is completely depends on input format you use. For example TextInputFormat splits data based on lines. If you have 1000 lines in your input data, it will create 1000 splits. Each split is termed to be a mapper. So you cannot have a hold on number of mappers in your job.
When it comes to reducer you can always specify number of reducers you want to use in the job configuration. For example you can specify 5reducers for your job. Partitioner will decide which reducer will get what data.
When it comes to number of jobs run in parallel(either it is a mapper or reducer job), it completely depends on your cluster availablity.
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What dictates the number of Mappers and reducers that are run in MapReduce?
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