October 2019
Intermediate to advanced
444 pages
10h 37m
English
Content preview from Rust Programming Cookbook
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Managing multiple threads
Single threads are great, but in reality, many use cases demand a wealth of threads to execute on a large-scale data set in parallel. This has been popularized by the map/reduce pattern, published several years ago, and is still a great way to process something distinct such as multiple files, rows in a database result, and many more in parallel. Whatever the source, as long as the processing is not inter-dependent, it can be chunked and mapped—both of which Rust can make easy and free of data-race conditions.
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