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The mapper also generates some small blocks of data while processing the input records as a key-value pair. The input data has to be converted to key-value pairs as Mapper can not process the raw input records or tuples(key-value pairs). It produces the output by returning new key-value pairs. Hadoop Mapper is a function or task which is used to process all input records from a file and generate the output which works as input for Reducer. The Hadoop Java programs are consist of Mapper class and Reducer class along with the driver class. It is designed for processing the data in parallel which is divided on various machines(nodes). Map-Reduce is a programming model that is mainly divided into two phases Map Phase and Reduce Phase. ISRO CS Syllabus for Scientist/Engineer Exam.
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