monix in practice
play

Monix in practice Ilya Murzinov https://twitter.com/ilyamurzinov - PowerPoint PPT Presentation

Feb 16, 2023 •690 likes •1.19k views

Monix in practice Ilya Murzinov https://twitter.com/ilyamurzinov https://github.com/ilya-murzinov Slides: https://ilya-murzinov.github.io/slides/scalaspb2018.pdf 1 / 30 Monix in practice - Ilya Murzinov, slides:

  1. Monix in practice Ilya Murzinov https://twitter.com/ilyamurzinov https://github.com/ilya-murzinov Slides: https://ilya-murzinov.github.io/slides/scalaspb2018.pdf 1 / 30

  2. Monix in practice - Ilya Murzinov, slides: https://ilya-murzinov.github.io/slides/scalaspb2018.pdf 2 / 30

  3. Referential transparency def goodFunction () = 2 + 2 Monix in practice - Ilya Murzinov, slides: https://ilya-murzinov.github.io/slides/scalaspb2018.pdf 3 / 30

  4. Referential transparency def goodFunction () = 2 + 2 def badFunction () = { sendMessage() 2 + 2 } Monix in practice - Ilya Murzinov, slides: https://ilya-murzinov.github.io/slides/scalaspb2018.pdf 3 / 30

  5. Monix Monix in practice - Ilya Murzinov, slides: https://ilya-murzinov.github.io/slides/scalaspb2018.pdf 4 / 30

  6. Monix modules monix-eval - Task, Coeval, MVar etc. monix-reactive - Observable, Observer (push-based streaming) monix-tail - Iterant (pull-based streaming) monix-execution - Scheduler & bunch of performance hacks Monix in practice - Ilya Murzinov, slides: https://ilya-murzinov.github.io/slides/scalaspb2018.pdf 5 / 30

  7. Task[A] Monix in practice - Ilya Murzinov, slides: https://ilya-murzinov.github.io/slides/scalaspb2018.pdf 6 / 30

  8. Task vs Future Monix in practice - Ilya Murzinov, slides: https://ilya-murzinov.github.io/slides/scalaspb2018.pdf 7 / 30

  9. Task vs Future scala.concurrect.Future : Eager (thus not ref. transparent) Monix in practice - Ilya Murzinov, slides: https://ilya-murzinov.github.io/slides/scalaspb2018.pdf 7 / 30

  10. Task vs Future scala.concurrect.Future : Eager (thus not ref. transparent) Not cancellable Monix in practice - Ilya Murzinov, slides: https://ilya-murzinov.github.io/slides/scalaspb2018.pdf 7 / 30

  11. Task vs Future scala.concurrect.Future : Eager (thus not ref. transparent) Not cancellable Always asyncronous Monix in practice - Ilya Murzinov, slides: https://ilya-murzinov.github.io/slides/scalaspb2018.pdf 7 / 30

  12. Task vs Future scala.concurrect.Future : Eager (thus not ref. transparent) Not cancellable Always asyncronous Not stack-safe Monix in practice - Ilya Murzinov, slides: https://ilya-murzinov.github.io/slides/scalaspb2018.pdf 7 / 30

  13. Task vs Future scala.concurrect.Future : Eager (thus not ref. transparent) Not cancellable Always asyncronous Not stack-safe monix.Task : Lazy (ref. transparent) Monix in practice - Ilya Murzinov, slides: https://ilya-murzinov.github.io/slides/scalaspb2018.pdf 7 / 30

  14. Task vs Future scala.concurrect.Future : Eager (thus not ref. transparent) Not cancellable Always asyncronous Not stack-safe monix.Task : Lazy (ref. transparent) Cancellable Monix in practice - Ilya Murzinov, slides: https://ilya-murzinov.github.io/slides/scalaspb2018.pdf 7 / 30

  15. Task vs Future scala.concurrect.Future : Eager (thus not ref. transparent) Not cancellable Always asyncronous Not stack-safe monix.Task : Lazy (ref. transparent) Cancellable Not always asyncronous Monix in practice - Ilya Murzinov, slides: https://ilya-murzinov.github.io/slides/scalaspb2018.pdf 7 / 30

  16. Task vs Future scala.concurrect.Future : Eager (thus not ref. transparent) Not cancellable Always asyncronous Not stack-safe monix.Task : Lazy (ref. transparent) Cancellable Not always asyncronous Stack (and heap) safe Monix in practice - Ilya Murzinov, slides: https://ilya-murzinov.github.io/slides/scalaspb2018.pdf 7 / 30

  17. Scheduler Schedule delayed execution Schedule periodic execution Provide cancellation token Use different execution models Monix in practice - Ilya Murzinov, slides: https://ilya-murzinov.github.io/slides/scalaspb2018.pdf 8 / 30

  18. ExecutionModel AlwaysAsyncExecution SynchronousExecution BatchedExecution Monix in practice - Ilya Murzinov, slides: https://ilya-murzinov.github.io/slides/scalaspb2018.pdf 9 / 30

  19. Scheduler Scheduler .computation(name = "my-computation") Scheduler .io(name = "my-io") Monix in practice - Ilya Murzinov, slides: https://ilya-murzinov.github.io/slides/scalaspb2018.pdf 10 / 30

  20. Scheduler Scheduler .computation(name = "my-computation") Scheduler .io(name = "my-io") Scheduler .fixedPool("my-fixed-pool", 10) Scheduler .singleThread("my-single-thread") Monix in practice - Ilya Murzinov, slides: https://ilya-murzinov.github.io/slides/scalaspb2018.pdf 10 / 30

  21. Creating a task import monix.eval. Task // eagerly evaluates the argument Task .now(42) Task .now(println(42)) // suspends argument evaluation Task .eval(println(42)) // suspends evaluation + makes it asynchronous Task (println(42)) ... Task .evalOnce(...) Task .defer(...) Task .deferFuture(...) Task .deferFutureAction(...) ... Monix in practice - Ilya Murzinov, slides: https://ilya-murzinov.github.io/slides/scalaspb2018.pdf 11 / 30

  22. Thread shifting val t = Task .eval(println(42)) t.executeAsync t.executeOn(io) t.asyncBoundary(io) Monix in practice - Ilya Murzinov, slides: https://ilya-murzinov.github.io/slides/scalaspb2018.pdf 12 / 30

  23. Thread shifting import monix.execution. Scheduler import monix.execution. Scheduler . Implicits .global lazy val io = Scheduler .io(name = "my-io") val source = Task .eval(println( s"Running on thread: ${Thread.currentThread.getName}")) val async = source.executeAsync val forked = source.executeOn(io) val onFinish = Task .eval(println( s"Ends on thread: ${Thread.currentThread.getName}")) source // executes on main .flatMap(_ => source) // executes on main .flatMap(_ => async) // executes on global .flatMap(_ => forked) // executes on io .asyncBoundary // switch back to global .doOnFinish(_ => onFinish) // executes on global .runAsync Monix in practice - Ilya Murzinov, slides: https://ilya-murzinov.github.io/slides/scalaspb2018.pdf 13 / 30

  24. Composing tasks val extract: Task [ Seq [ String ]] = ??? val transform: Seq [ String ] => Task [ Seq [ WTF ]] = ??? val load: Seq [ WTF ] => Task [ Unit ] = ??? for { strings <- extract transformed <- transform(strings) _ <- load(transformed) } yield () Monix in practice - Ilya Murzinov, slides: https://ilya-murzinov.github.io/slides/scalaspb2018.pdf 14 / 30

  25. Composing tasks val extract: Task [ Seq [ String ]] = ??? val transform: Seq [ String ] => Task [ Seq [ WTF ]] = ??? val load: Seq [ WTF ] => Task [ Unit ] = ??? for { strings <- extract transformed <- transform(strings) _ <- load(transformed) } yield () val extract1: Task [ Seq [ String ]] = ??? val extract2: Task [ Seq [ String ]] = ??? val extract3: Task [ Seq [ String ]] = ??? val extract = Task .parMap3(extract1, extract2, extract3)(_ :+ _ :+ _) Monix in practice - Ilya Murzinov, slides: https://ilya-murzinov.github.io/slides/scalaspb2018.pdf 14 / 30

  26. Composing tasks val tasks: Seq [ Task [ A ]] = Seq (task1, task2, ...) // Seq[Task[A]] => Task[Seq[A]] Task .sequence(tasks) Task .gather(tasks) Task .gatherUnordered(tasks) Monix in practice - Ilya Murzinov, slides: https://ilya-murzinov.github.io/slides/scalaspb2018.pdf 15 / 30

  27. Composing tasks val tasks: Seq [ Task [ A ]] = Seq (task1, task2, ...) // Seq[Task[A]] => Task[Seq[A]] Task .sequence(tasks) Task .gather(tasks) Task .gatherUnordered(tasks) // Seq[Task[A]] => Task[A] Task .raceMany(tasks) Monix in practice - Ilya Murzinov, slides: https://ilya-murzinov.github.io/slides/scalaspb2018.pdf 15 / 30

  28. Task cancellation val task = ??? val f: CancelableFuture [ Unit ] = t.runAsync f.cancel() Monix in practice - Ilya Murzinov, slides: https://ilya-murzinov.github.io/slides/scalaspb2018.pdf 16 / 30

  29. Task cancellation val task = ??? val f: CancelableFuture [ Unit ] = t.runAsync f.cancel() Task { Thread .sleep(100); println(42) } .doOnCancel( Task .eval(println("On cancel"))) .runAsync .cancel() Thread .sleep(1000) Monix in practice - Ilya Murzinov, slides: https://ilya-murzinov.github.io/slides/scalaspb2018.pdf 16 / 30

  30. Task cancellation import monix.execution. Scheduler . Implicits .global val sleep = Task ( Thread .sleep(100)) val t = sleep.flatMap(_ => Task .eval(println(42))) t.runAsync.cancel() Thread .sleep(1000) Monix in practice - Ilya Murzinov, slides: https://ilya-murzinov.github.io/slides/scalaspb2018.pdf 17 / 30

  31. Task cancellation import monix.execution. Scheduler . Implicits .global val sleep = Task ( Thread .sleep(100)).cancelable val t = sleep.flatMap(_ => Task .eval(println(42))) t.runAsync.cancel() Thread .sleep(1000) Monix in practice - Ilya Murzinov, slides: https://ilya-murzinov.github.io/slides/scalaspb2018.pdf 18 / 30

  32. Observable[A] Monix in practice - Ilya Murzinov, slides: https://ilya-murzinov.github.io/slides/scalaspb2018.pdf 19 / 30

  33. Observable[A] Lazy (ref. transparent) Monix in practice - Ilya Murzinov, slides: https://ilya-murzinov.github.io/slides/scalaspb2018.pdf 20 / 30

  34. Observable[A] Lazy (ref. transparent) Cancellable Monix in practice - Ilya Murzinov, slides: https://ilya-murzinov.github.io/slides/scalaspb2018.pdf 20 / 30

  35. Observable[A] Lazy (ref. transparent) Cancellable Safe (doesn't expose unsafe or blocking operations) Monix in practice - Ilya Murzinov, slides: https://ilya-murzinov.github.io/slides/scalaspb2018.pdf 20 / 30

  36. Observable[A] Lazy (ref. transparent) Cancellable Safe (doesn't expose unsafe or blocking operations) Allows fine-grained control over execution Monix in practice - Ilya Murzinov, slides: https://ilya-murzinov.github.io/slides/scalaspb2018.pdf 20 / 30

Download Presentation
Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend

Outline A brief tour of practice diversity Its everywhere you look! Is practice diversity

Outline A brief tour of practice diversity Its everywhere you look! Is practice diversity

5/30/2014 I think Medicine has Practice diversity: What does it mean when everybody does it differently? 1. Too much practice diversity 2. Just enough practice diversity 3. Not enough practice diversity Avery Tung, M.D. FCCM Quality Chief

816 views • 24 slides
Micropipetting Doing it the correct way Practice, practice, practice! Why Take the Time to

Micropipetting Doing it the correct way Practice, practice, practice! Why Take the Time to

Micropipetting Doing it the correct way Practice, practice, practice! Why Take the Time to Practice? Micropipetting is the foundation to many future experiments Correct pipetting insures correct volumes which creates a greater chance

544 views • 19 slides
VIRTUAL ARCHITECTURAL PRACTICE - AN ALTERNATE REALITY PRODUCED BY AIA PMKC + AIA TRUST 1.5

VIRTUAL ARCHITECTURAL PRACTICE - AN ALTERNATE REALITY PRODUCED BY AIA PMKC + AIA TRUST 1.5

Peter S. Macrae, AIA SPEAKERS: VIRTUAL PRACTICE FRAMEWORK Charles R. Heuer, Esq, FAIA MANAGING RISK WHEN RUNNING A VIRTUAL PRACTICE Kevin J. Collins, RPLU, Associate AIA CHALLENGES TO PROFESSION AND PRACTICE IN A VIRTUAL PRACTICE Lira Luis,

630 views • 37 slides
Communities of Practice Contents Communities of Practice Why and How? Proposed

Communities of Practice Contents Communities of Practice Why and How? Proposed

COP1.1 Establishing Communities of Practice Contents Communities of Practice Why and How? Proposed Thematic Streams Next Steps Community of Practice What and Why? Theory - A community of practice is a group of practitioners

431 views • 6 slides
MA Creative Practice DR Sam Broadhead SFHEA MA Creative Practice course Leader MA Creative

MA Creative Practice DR Sam Broadhead SFHEA MA Creative Practice course Leader MA Creative

MA Creative Practice DR Sam Broadhead SFHEA MA Creative Practice course Leader MA Creative Practice A Masters level course drawing upon the specialist provision, community of practice and expertise available at Leeds College of Art. Focused

788 views • 32 slides
Best practice in lipid management Delivering best practice: 5 Steps / Interactive Case Study

Best practice in lipid management Delivering best practice: 5 Steps / Interactive Case Study

Best practice in lipid management Delivering best practice: 5 Steps / Interactive Case Study Dr Chris Harris &amp; Dr Youssef Beaini Chair: Jean Hayhurst In association with Heart UK MAKING BEST PRACTICE EVERYDAY PRACTICE Bold and

915 views • 70 slides
Good Practice Department Victoria Heath 2 April 2014 What is good practice? What the DPA

Good Practice Department Victoria Heath 2 April 2014 What is good practice? What the DPA

Information Commissioners Office Good Practice Department Victoria Heath 2 April 2014 What is good practice? What the DPA says? Good practice is defined as such practice for processing personal data as appears to be desirable.

854 views • 12 slides
Theory or Practice? Theory : Without theory, practice is but routine born out of habit.

Theory or Practice? Theory : Without theory, practice is but routine born out of habit.

Theory or Practice? Theory : Without theory, practice is but routine born out of habit. Theory alone can bring forth and develop the spirit of inventions Louis Pasteur, 1822-1895 Practice : It is a capital mistake to theorize before

548 views • 42 slides
Presentation Practice education in the context of agency practice models: the implications for

Presentation Practice education in the context of agency practice models: the implications for

Presentation Practice education in the context of agency practice models: the implications for practice education and the commodification of social work knowledge . Tom Wilks Approaches to theory A specific theoretical orientation A

437 views • 20 slides
Take away for today: Know the format! Judge from the positive! Practice, Practice,

Take away for today: Know the format! Judge from the positive! Practice, Practice,

3/19/2018 2018 Hippology/Horse Bowl/Judging Clinic Amanda Thompson 4-H and PAS Judge Take away for today: Know the format! Judge from the positive! Practice, Practice, Practice! 1 3/19/2018 What is the purpose of oral

279 views • 7 slides
Best Practice Wool Scouring Dr. Jock Christoe Best Practice - Definition Make a profit by

Best Practice Wool Scouring Dr. Jock Christoe Best Practice - Definition Make a profit by

Best Practice Wool Scouring Dr. Jock Christoe Best Practice - Definition Make a profit by producing a product in an environmentally sustainable way that is acceptable to the customer at the lowest possible cost Factors Affecting Best Practice

643 views • 35 slides
Setting up your own Practice Members in Practice Morning Holiday Inn Kensington Forum 21 June

Setting up your own Practice Members in Practice Morning Holiday Inn Kensington Forum 21 June

Setting up your own Practice Members in Practice Morning Holiday Inn Kensington Forum 21 June 2014 John A W Lawrenson MIoEE Business Consultant SFEDI Accredited Setting up your own Practice Agenda Support for Start Up Businesses

416 views • 27 slides
Doctor of Nursing Practice (DNP) Program College of Nursing Background Practice-Focused

Doctor of Nursing Practice (DNP) Program College of Nursing Background Practice-Focused

Curricular Recommendations Doctor of Nursing Practice (DNP) Program College of Nursing Background Practice-Focused doctoral programs in nursing are designed to prepare experts in specialized advanced practice nursing(AACN, 2006).

742 views • 9 slides
Good Clinical Practice Sarah Temkin, MD What is Good Clinical Practice? Good Clinical

Good Clinical Practice Sarah Temkin, MD What is Good Clinical Practice? Good Clinical

Good Clinical Practice Sarah Temkin, MD What is Good Clinical Practice? Good Clinical Practice (GCP) is an international ethical and scientific standard for conducting biomedical and behavioral research involving human participants. The

599 views • 20 slides
ALL TEACHERS CAN PRACTICE AND ACT AS CONSULTANTS FOR FREE OR FOR A FEE: THE CASE OF LAW PRACTICE BY

ALL TEACHERS CAN PRACTICE AND ACT AS CONSULTANTS FOR FREE OR FOR A FEE: THE CASE OF LAW PRACTICE BY

ALL TEACHERS CAN PRACTICE AND ACT AS CONSULTANTS FOR FREE OR FOR A FEE: THE CASE OF LAW PRACTICE BY LAW TEACHERS 1 Abdulkarim A. Kana Ph.D* A Paper presented at the 2015 Annual General Conference of the Nigerian Bar Association (NBA) on the 25 th

564 views • 25 slides
Presentation of Best Practice-1 1. Title of the Practice : Timely Examinations and Publication of

Presentation of Best Practice-1 1. Title of the Practice : Timely Examinations and Publication of

Presentation of Best Practice-1 1. Title of the Practice : Timely Examinations and Publication of Results sticking to the Academic Calendar prepared at the beginning of the Academic Session. 2 . Goal : The practice of following the academic

61 views • 3 slides
Metals in the outskirts of high-redshift galaxies Valentina D Odorico INAF Trieste

Metals in the outskirts of high-redshift galaxies Valentina D Odorico INAF Trieste

Metals in the outskirts of high-redshift galaxies Valentina D Odorico INAF Trieste Astronomical Observatory In collaboration with: G. Becker, F. Calura, R. Carswell, M. Centurion, S. Cristiani, G. Cupani, C. Mongardi, S. Perrotta,

238 views • 19 slides
how many source rocks do I have? 1 Samuel Rivas, J. Grimmer, A. Alaminos, J. Navarro.

how many source rocks do I have? 1 Samuel Rivas, J. Grimmer, A. Alaminos, J. Navarro.

Basin modeling at the Songkhla Basin (Gulf of Thailand) or: how many source rocks do I have? 1 Samuel Rivas, J. Grimmer, A. Alaminos, J. Navarro. Cepsa E.P., S.A. April, 5 th . 2016 Outline Conclusions, first! Introduction (from

631 views • 23 slides
HOW FEASIBLY CAN WE DISTINGUISH MODELS OF THE EOR WITH UP AND COMING EXPERIMENTS? TOM BINNIE

HOW FEASIBLY CAN WE DISTINGUISH MODELS OF THE EOR WITH UP AND COMING EXPERIMENTS? TOM BINNIE

HOW FEASIBLY CAN WE DISTINGUISH MODELS OF THE EOR WITH UP AND COMING EXPERIMENTS? TOM BINNIE IMPERIAL COLLEGE LONDON Who am I ? https://arxiv.org/abs/1903.09064 Talk Plan Intros to The EoR 21cm Telescope Bayesian Statistics

768 views • 47 slides
Rediscovering star clusters with CSS-OS Jing Zhong ng (SHAO) AO) Li Chen (SHAO), Chao Liu

Rediscovering star clusters with CSS-OS Jing Zhong ng (SHAO) AO) Li Chen (SHAO), Chao Liu

Rediscovering star clusters with CSS-OS Jing Zhong ng (SHAO) AO) Li Chen (SHAO), Chao Liu (NAOC) , Zhou Fan (NAOC), Xiangxiang Xue (NAOC), Haining Li (NAOC ), Jian Gao (BNU), Zhengyi Shao (SHAO), Jinliang Hou (SHAO), et al. Why star clusters ?

346 views • 15 slides
Spite &amp; Spite (1981) in: IAU colloquium 68 Astrophysical Parameters for Globular

Spite &amp; Spite (1981) in: IAU colloquium 68 Astrophysical Parameters for Globular

Spite &amp; Spite (1981) in: IAU colloquium 68 Astrophysical Parameters for Globular Clusters, Schenectady, NY , October 1981 Lithium in the Cosmos February 27-29, 2012 Andreas Korn Uppsala University Swedish Research Council

815 views • 21 slides
The Fundamental Importance of Brown Dwarf Binaries Quinn M.

The Fundamental Importance of Brown Dwarf Binaries Quinn M.

The Fundamental Importance of Brown Dwarf Binaries Quinn M. Konopacky Dunlap Ins&gt;tute University of Toronto May 22, 2013 Outline Surveys for

370 views • 26 slides
Universe Cosmology and fundamental physics with current and future ESO facilities Massimo

Universe Cosmology and fundamental physics with current and future ESO facilities Massimo

H 0 and the Age of the Universe Cosmology and fundamental physics with current and future ESO facilities Massimo DallOra, Italian Institute for Astrophysics On behalf of Giuseppe Bono, Giuliana Fiorentino, Matteo Monelli, Clara Martinez-

1.03k views • 60 slides
Giant Planets in Open Clusters S.N. Quinn 1 , 3 , R.J. White 1 , D.W. Latham 2 Talk given at

Giant Planets in Open Clusters S.N. Quinn 1 , 3 , R.J. White 1 , D.W. Latham 2 Talk given at

Twenty years of giant exoplanets - Proceedings of the Haute Provence Observatory Colloquium, 5-9 October 2015 Edited by I. Boisse, O. Demangeon, F. Bouchy &amp; L. Arnold Giant Planets in Open Clusters S.N. Quinn 1 , 3 , R.J. White 1 , D.W. Latham

275 views • 8 slides

More recommend