June 2014
Intermediate to advanced
300 pages
7h 12m
English
Content preview from Seven Concurrency Models in Seven WeeksBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Day 1: MapReduce
MapReduce is a broad term. Sometimes it’s used to describe the common pattern of breaking an algorithm down into two steps: a map over a data structure, followed by a reduce operation. Our functional word count (see the code) is an example of exactly this (remember that frequencies is implemented using reduce). As we saw in Day 2: Functional Parallelism, one of the benefits of breaking an algorithm down in this way is that it lends itself to parallelization.
But MapReduce can also be used to mean something more specific—a system that takes an algorithm encoded as a map followed by a reduce and efficiently distributes it across a cluster of computers. Not only does such a system automatically partition both the data and ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.