Optimizations to reduce the number of map

In this recipe, you will learn how to reduce the number of mappers in Hive.

Getting ready

The number of mappers that is used in a map reduce job depends heavily on the input split. The number of mappers is directly proportional to the number of HDFS blocks, that is, the total number of blocks for the input files. Input split is a logical concept that is used to control the number of mappers. If there is no size defined for an input split in map reduce job, then the number of mappers will be equal to the number of HDFS blocks.

However, if you have defined a particular size for an input split, then the number of mappers will be equal to the number of input splits in the MapReduce job and not to the number of HDFS blocks for that MapReduce job.

Let's suppose that there is a file of 150 MB, and it is broken down into two parts. One part is equal to 128 MB, and the other part is equal to 22 MB. Now consider that the block configuration of HDFS block by default...