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in this video we are discussing replicated join pattern overview in this particular join pattern a long or huge data set will be joined with multiple smaller data sets and here we will be having only mapper no reducer this operation will be done in two different phases the first phase is known as set up phase so in the setup phase the mapper will read these record sets from different distributed cache and that those data sets will be written on to the sdfs and there one lookup table will be created and later this records will be read from this sdfs and the mapper will go for the joining so there is a basic principle in this replicated joint pattern so let us go for some more discussion on this topic so what is replicated joint pattern this is one special joint pattern and in this pattern will be used to join one large and many small data sets so one large data set and multiple different small data sets so this pattern has no reduced phase at all so joining will be done only at the map