By Leonardo Borges
Reactive Programming (RP) is critical to many concurrent platforms. It endeavors to make the method of constructing highly-concurrent, event-driven, and asynchronous purposes less complicated and not more error-prone. RP is available in many flavors and we'll examine a few of them during this book.
Clojure Reactive Programming is a realistic consultant geared toward exploring RP. It begins by means of describing sensible Reactive Programming (FRP) and its formulations, in addition to the way it encouraged Compositional occasion structures (CES).
It additionally offers numerous examples of Reactive purposes applied in several frameworks, permitting you to improve an realizing of the topic in addition to advance your skill to paintings with time-varying values.
By the top of the publication, you can be outfitted to unravel real-world difficulties in addition to comprehend the trade-offs among the methods proven within the publication
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Additional info for Clojure Reactive Programming
In Clojure, a simple version of the Observer pattern can be implemented using watches: (def numbers (atom )) (defn adder [key ref old-state new-state] (print "Current sum is " (reduce + new-state))) (add-watch numbers :adder adder) We start by creating our program state, in this case an atom holding an empty vector. Next, we create a watch function that knows how to sum all numbers in numbers. Finally, we add our watch function to the numbers atom under the :adder key (useful for removing watches).
When the observable changes, it pushes its changes to the observer synchronously. ) (reduce +)) This time around, the vector is the subject being observed and the functions processing it can be thought of as the observers. However, this works in a pull-based model. The vector doesn't push any elements down the sequence. Instead, map and friends ask the sequence for more elements. This is a synchronous operation. Rx makes sequences—and more—behave like observables so that you can still map, ilter, and compose them just as you would compose functions over normal sequences.
Main-frame :content price-label) As you can see, the UI is fairly simple. It consists of a single label that will display a company's share price. We also imported two Java classes, ScheduledThreadPoolExecutor and TimeUnit, which we will use shortly. The next thing we need is our polling machinery so that we can invoke the pricing service on a given schedule. We'll implement this via a thread pool so as not to block the main thread: User interface SDKs such as swing have the concept of a main—or UI—thread.