MapReduce Concise summary--turn

Source: Internet
Author: User

MapReduce Streamlined generalization

We want to count all the books in the library. You count up shelf #1, and I count up shelf #2. That ' s map. The more people we get, the faster it goes.

We need to count all the books in the library. You count 1th bookshelves, I'll count 2nd. This is "Map". The more we are, the faster we can count the books.

Now we get together and add our individual counts. That ' s reduce.

Now let's get together and put together the statistics of all. This is "Reduce".

MapReduce Concise summary--turn

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