Question
Explain the uses of Map Reduce in Pig?
Answers
Apache Pig programs are written in Pig Latin query language which is similar to the SQL query language. To execute this queries, there requires an execution engine. The Pig engine enables to convert the queries into MapReduce jobs and thus MapReduce acts as the execution engine and is designed to run the programs as per the requirements.
Pigs’ operators are using Hadoops’ API depending upon the configurations the job is executed in local mode or Hadoop cluster. Pig is never passes any outputs to Hadoop instead set the inputs and data locations for map-reduce.
Pig Latin provides a set of standard Data-processing operations, such as join, filter, group by, order by, union, etc which are mapped to do the map-reduce tasks. A Pig Latin script describes a (DAG) directed acyclic graph, where the edges are data flows and the nodes are operators that process the data.   Your Comment




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