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LIBRA Lightweight Data Skew Mitigation in MapReduce Net Pku Edu Form

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so what is MapReduce MapReduce in very simple words is a programming paradigm to help us solve big data problems Hadoop MapReduce is the framework that works on this paradigm this is specifically great for tasks which are sorting or discrete intensive ideally you would write two functions or pieces of logic mapper and reducer the mapper converts every record from the input into key value pairs reducer aggregates values for each key as defined by mapper or the map phase MapReduce is also supported by many other systems such as Apache spark MongoDB CouchDB and Cassandra MapReduce in Hadoop can be written in Java shell Python or any binaries let's take a quick look at how MapReduce gets executed in this diagram we have three machines containing data on which map functions are getting executed mapper is the logic that you have defined this logic takes a record as input and converts it into key value pairs please note that map logic is provided by you this logic can be very complex

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