January 2017
Intermediate to advanced
565 pages
13h 46m
English
Content preview from Clojure: High Performance JVM ProgrammingBecome 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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Chapter 5. Composing Transducers
Let's get back to our journey of performing computations over data in Clojure. We've already discussed how reducers can be used to process collections in Chapter 3, Parallelization Using Reducers. Transducers are, in fact, a generalization of reducers that are independent of the source of data. Also, reducers are more about parallelization, while transducers are more focused on generalizing data transformations without restricting us to any particular source of data. Transducers capture the essence of the standard functions that operate on sequences, such as map and filter, for several sources of data. They allow us to define and compose transformations of data regardless of how the data is supplied to us.
Incidentally, ...
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