I have a stream - Insights in Reactive Programming - Jan Carsten Lohmuller - Codemotion Rome 2017
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The document discusses the concept of reactive programming, a paradigm focused on data flows and change propagation, alongside practical coding examples and operators. It highlights various programming languages and tools related to reactive programming, offers examples of observable patterns, and mentions error handling techniques like the circuit breaker pattern. Additionally, it provides resources for further learning and feedback channels.
![Plankalkül
R1.1(V0[:sig]) => R0
R1.2(V0[:m x sig]) => R0
0 => i | m + 1 => j
[W [ i < j -> [ R1.1(V0[i: m x sig]) => R0 | i + 1 => i ] ] ]
END
R1.3() => R0
'H';'e';'l';'l';'o';',';' ';'w';'o';'r';'l';'d';'!' => Z0[: m x sig]
R1.2(Z0) => R0
END](https://image.slidesharecdn.com/rim9ppptr5wlx5lrylki-signature-cf603996e2434e8daa8f510b54bb5de84e1e2fbbae209df07d8939a22eeadcd3-poli-170403074900/85/I-have-a-stream-Insights-in-Reactive-Programming-Jan-Carsten-Lohmuller-Codemotion-Rome-2017-10-320.jpg)
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![[ 2 , 4, 8 ]](https://image.slidesharecdn.com/rim9ppptr5wlx5lrylki-signature-cf603996e2434e8daa8f510b54bb5de84e1e2fbbae209df07d8939a22eeadcd3-poli-170403074900/85/I-have-a-stream-Insights-in-Reactive-Programming-Jan-Carsten-Lohmuller-Codemotion-Rome-2017-25-320.jpg)
I have a stream - Insights in Reactive Programming - Jan Carsten Lohmuller - Codemotion Rome 2017
- 1. Jan Carsten Lohmüller I have a stream Insights in Reactive Programming
- 4. wps.de
- 5. @wps_de
- 7. Reactive may refer to: Generally, capable of having a reaction (disambiguation) -Wikipedia
- 8. Reactive programming is a programming paradigm ... -Wikipedia
- 9. Procedural
- 10. Plankalkül R1.1(V0[:sig]) => R0 R1.2(V0[:m x sig]) => R0 0 => i | m + 1 => j [W [ i < j -> [ R1.1(V0[i: m x sig]) => R0 | i + 1 => i ] ] ] END R1.3() => R0 'H';'e';'l';'l';'o';',';' ';'w';'o';'r';'l';'d';'!' => Z0[: m x sig] R1.2(Z0) => R0 END
- 11. Object oriented
- 12. OOP to me means only messaging, local retention and protection and hiding of state-process , and extreme late binding of all things. -Alan Kay
- 13. Architecture
- 15. Functional
- 16. Purely functional programming is different. You don’t tell the computer what to do – you tell him what stuff is. -Miran Lipovaca
- 17. Math! f = f = 1 f = f + f für n > 2 0 1 n n−1 n−2
- 18. In Haskell fib 0 = 0 fib 1 = 1 fib n = fib (n-1) + fib (n-2)
- 19. Reactive
- 20. Excel
- 21. Reactive programming is a programming paradigm oriented around data flows and the propagation of change. -Wikipedia
- 22. Reactive programming is programming with asynchronous data streams. -André Staltz
- 23. [ 1 , 2 , 3 , 4 , 5 , 8 , 13 ]
- 24. .filter(x -> x%2 == 0)
- 25. [ 2 , 4, 8 ]
- 26. Mouse events x=200 y=50 → x=689 y=324 → x=195 y=142 → x=982 y=897 → x=87 y=964 →
- 28. .filter(c -> c.x < 200)
- 30. Iterator
- 32. Pull
- 33. Observer
- 35. Push
- 37. Observable
- 38. onNext()
- 39. onCompleted()
- 40. onError()
- 41. Subscription s = Observable.just( "Hello, world!") .subscribe(new Subscriber<String>() { @Override public void onCompleted() { // do sth } @Override public void onError(Throwable e) { // handle error stuff } @Override public void onNext(String s) { // next! } } );
- 43. Operators
- 47. DEMO
- 48. Manifesto
- 49. Message Driven
- 50. Elastic
- 51. Resilient
- 52. Responsive
- 53. But how?
- 54. Michael Nygard
- 57. Circuit Breaker Example Observable<String> query = db.rxExecuteLongRunningQuery(); query.timeout(2, TimeUnit.SECONDS, sched) .doOnError(e -> System.out.println( "Timeout!")) .retry(4) .onErrorReturn(e -> "Damn!") .subscribe(sub);
- 59. Observable<String> query = db.rxExecuteLongRunningQuery(); query.timeout(2, TimeUnit.SECONDS, sched)
- 60. Observable<String> query = db.rxExecuteLongRunningQuery(); query.timeout(2, TimeUnit.SECONDS, sched) .doOnError(e -> System.out.println( "Timeout!")) // everytime the timeout is hit
- 61. Observable<String> query = db.rxExecuteLongRunningQuery(); query.timeout(2, TimeUnit.SECONDS, sched) .doOnError(e -> System.out.println( "Timeout!")) .retry(4) // please retry!
- 62. Observable<String> query = db.rxExecuteLongRunningQuery(); query.timeout(2, TimeUnit.SECONDS, sched) .doOnError(e -> System.out.println( "Timeout!")) .retry(4) .onErrorReturn(e -> "Damn!") // failover...
- 63. Observable<String> query = db.rxExecuteLongRunningQuery(); query.timeout(2, TimeUnit.SECONDS, sched) .doOnError(e -> System.out.println( "Timeout!")) .retry(4) .onErrorReturn(e -> "Damn!") .subscribe(sub); // and subscribe.
- 65. http://reactivex.io/tutorials.html by André Staltz2 minute introduction to Rx a video lecture by Erik MeijerA Playful Introduction to Rx
- 66. Version 2.x
- 69. Wrap Up
- 71. Feedback!
- 72. @nachkonvention
- 73. Thank you!