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Popular Posts

Mutiple Input Files In MapReduce: The Easy Way

In the previous issue of this series, we discussed a simple method of using multiple input files : Side Data Distribution . But it was ...
Serialization and Deserialization in Hadoop

Serilaization is the process of converting structured objects into a byte stream. It is done basically for two purposes one, for transm...
MapReduce Inputs And Splitting

Uptill now we have used only Text file as input files. Can we use any other file format? Can we use binary format or XML format? Let us f...
Partitioning in MapReduce

As you may know, when a job (it is a MapReduce term for program) is run it goes to the the mapper, and the output of the mapper goes t...
Shuffle and Sort

MapReduce makes the guarantee that the input to every reducer is sorted by key.The process by which the system performes the sort and tra...
Map Side Join And Reduce Side Join

Joins is one of the interesting features available in MapReduce. MapReduce can perform joins between very large datasets.Implementation o...
Multiple Input Files In MapReduce: Side Data Distribution

You may come to face problems which require more than one input files. For instance, you may want to join records from two input files. ...
Ranker: Top N values

Ranker finds the top N values in a column, for each group. Mapper: Mapper will pass each group as a key and entire row as value. U...
Compression and Decompression in MapReduce

In order to reduces the space needed to store files, and it speeds up data transfer across the network or to or from disk file compression...
Sequence File

What Is SequenceFile? SequenceFile is just a flat file consisting of binary key/value pairs. It is highly used in MapReduce as input/o...

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