I Want to Write a Map Reduce Job to Separate Large PDF 1gb File into?

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I want to write a map reduce job to separate large pdf 1GB file into sub pdf files with the give range of page numbers . suggest me how to implement this .. what to write in mappers and reducers?

Suppose you have 10 bags full of Dollars of different denominations and you want to count the total number of dollars of each denomination. Traditional way is to start counting serially and get the result. Which is like you are counting all of them yourself opening one bag at a time and so on. In mapreduce world, you can call up your friends to help you with this and each one of your friends get a bag. each of them starts counting their own bag in parallel and finally all of them have their separate counts for each denomination. t just give those counts to you and you aggregate the counts. All your friends are behaving like mappers here. you are the reducer!

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Your job is to accumulate the cumulative counts for each denomination. Now you have done this with your friend 1, for friend 2, etc. You can see what the totals are, and how it compares to the cumulative counts from those mappers. Map Reduce has two basic components to it. Firstly it uses a function known as a map Reduce which takes a function of the form (num1, num2…) and reduces all the quantities in that function into a single sum. Map Reduce does this in parallel! In this way, you can do this with a much smaller number of mappers. Secondly it uses a function known as a reducer which takes a function of the form [num1, num2, nuns] and reduces all the quantities in each of the functions into a one. Map Reduce is now ready! You can easily do this kind of task for many data structures. You have just.