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A tour of (advanced) Akka features in 40 minutes
- 1. A Tour of (Advanced) Akka Features in 40 Minutes Johan Janssen, Info Support @johanjanssen42
- 2. Content ▪ Why Akka? ▪ Local actor ▪ Remote actor ▪ Scheduling ▪ Cluster ▪ Routing ▪ Cluster singleton ▪ Sharding ▪ Persistence ▪ Akka HTTP ▪ Finite State Machines ▪ Conclusion ▪ Questions
- 3. Why Akka?
- 4. Why Akka? ▪ Concurrent ▪ Scalable ▪ Fault tolerant ▪ More natural programming experience when connecting to other systems ▪ Easy to use?
- 6. Local actor
- 9. Local actor Coordinator Actor println("Hello conference")
- 10. class Worker extends Actor { def receive = { case x => println(x) } } val system = ActorSystem("ExampleActorSystem") val workerActorRef = system.actorOf(Props[Worker]) workerActorRef ! "Hello conference" Scala
- 11. Remote actor
- 12. Remote actor Actor on JVM 1 Actor on JVM 2
- 13. val workerActorRef = system.actorOf(Props[Worker]) workerActorRef ! "Hello conference" val workerActorRef = context.actorSelection("akka.tcp:// ExampleActorSystem@127.0.0.1:9005 /user/workerActor") workerActorRef ! "Hello conference"
- 14. akka { actor { provider = "akka.remote.RemoteActorRefProvider" } remote { enabled-transports = ["akka.remote.netty.tcp"] netty.tcp { hostname = "127.0.0.1" port = 9002
- 16. Remote actor Coordinator actor Worker actor WorkerMessage Greetings from the coordinator: Hello Conference
- 18. Scheduling
- 19. Scheduling Actor Scheduled once after 1 second Tick Scheduled every 5 seconds Tock system.scheduler.scheduleOnce(1 seconds, scheduleReceiveActor, Tick) system.scheduler.schedule(0 seconds, 5 seconds, scheduleReceiveActor, Tock)
- 20. Scheduling ▪ Does not work for fixed point in time like 17:00 – Use Quartz
- 21. Cluster
- 22. Cluster ActorSystem on JVM 1 ActorSystem on JVM 3 ActorSystem on JVM 2 ActorSystem on JVM 4
- 23. Seed nodes ▪ Contact points for automatically joining a cluster
- 24. akka { cluster { seed-nodes = [ "akka.tcp://ClusterNode@127.0.0.1:2551", "akka.tcp://ClusterNode@127.0.0.1:2552" ] } }
- 25. Cluster Worker Node Port 2551 Association failed with [akka.tcp://ClusterSystem@127.0.0.1:2552
- 26. Cluster Worker Node Port 2551 Worker Node Port 2552 Member Up with IP: 127.0.0.1 and port: 2551 Member Up with IP: 127.0.0.1 and port: 2552 Member Up with IP: 127.0.0.1 and port: 2551 Member Up with IP: 127.0.0.1 and port: 2552
- 27. Cluster Worker Node Port 2551 Worker Node Port 2552 Member Up with IP: 127.0.0.1 and port: 2550 Member Up with IP: 127.0.0.1 and port: 2550 Coordinator Node Port 2550
- 28. Cluster Worker Node Port 2551 Worker Node Port 2552 Coordinator Node Port 2550 RegisterWorker RegisterWorker
- 29. Cluster Worker Node Port 2551 Worker Node Port 2552 Coordinator Node Port 2550 Worker registered with IP: 127.0.0.1 and port: 2551 Worker registered with IP: 127.0.0.1 and port: 2552
- 30. Routing
- 31. Routing Actor on JVM 1 Actor on JVM 3 Actor on JVM 4 Actor on JVM 2 Loadbalancer
- 32. akka { actor { provider = "akka.cluster.ClusterActorRefProvider" deployment { /coordinator/router { router = round-robin-pool nr-of-instances = 10 routees.paths = ["/user/emptystringactor"] cluster { enabled = on allow-local-routees = off } } } } }
- 33. Routing Coordinator Actor on JVM 1 EmptyString Actor on JVM 3 EmptyString Actor on JVM 4 EmptyString Actor on JVM 2""
- 34. Routing Coordinator Actor on JVM 1 EmptyString Actor on JVM 3 EmptyString Actor on JVM 4 EmptyString Actor on JVM 2"" HashMap[hostname, counter]
- 35. Routing Coordinator Actor on JVM 1 EmptyString Actor on JVM 3 EmptyString Actor on JVM 4 EmptyString Actor on JVM 2 ""
- 36. Routing Coordinator Actor on JVM 1 EmptyString Actor on JVM 3 EmptyString Actor on JVM 4 EmptyString Actor on JVM 2 ""
- 38. Cluster singleton ▪ Only one instance of the actor in the cluster ▪ (Re)created on the oldest node ▪ Can be used for instance for scheduling/caching
- 39. Cluster singleton Actor on JVM 1 Other actors on JVM 3 Other actors on JVM 4 Singleton actor and other actors on JVM 2
- 40. Cluster singleton Coordinator EmptyString Actor on JVM 3 EmptyString Actor on JVM 4 EmptyString Actor on JVM 2""
- 41. Cluster singleton Coordinator EmptyString Actor on JVM 3 EmptyString Actor on JVM 4 EmptyString Actor on JVM 2"" HashMap[hostname, counter]
- 42. Cluster singleton Coordinator EmptyString Actor on JVM 3 EmptyString Actor on JVM 4 EmptyString Actor on JVM 2""
- 43. Cluster singleton Coordinator EmptyString Actor on JVM 3 EmptyString Actor on JVM 4 EmptyString Actor on JVM 2"" HashMap[hostname, counter]
- 44. Cluster singleton Coordinator EmptyString Actor on JVM 3 EmptyString Actor on JVM 4 EmptyString Actor on JVM 2 Crash
- 45. Cluster singleton Coordinator EmptyString Actor on JVM 3 EmptyString Actor on JVM 4 ""
- 46. Cluster singleton Coordinator EmptyString Actor on JVM 3 EmptyString Actor on JVM 4 "" HashMap[hostname, counter]
- 47. Cluster singleton Coordinator EmptyString Actor on JVM 3 EmptyString Actor on JVM 4 ""
- 48. Cluster singleton Coordinator EmptyString Actor on JVM 3 EmptyString Actor on JVM 4 "" HashMap[hostname, counter]
- 49. Sharding
- 50. Sharding ▪ Dividing a set of actors over a cluster ▪ Actors will be divided into groups called shards ▪ It will divide based on a logical identifier
- 51. Sharding Actor on JVM 1 odd Shard on JVM 3 even Shard on JVM 2 0, 2, 4, 6, 8 1, 3, 5, 7, 9
- 52. Persistence
- 53. Persistence ▪ Store actor information ▪ Recover after crash ▪ Possibility to take snapshots
- 57. Example without persistence Actor Java Cobol
- 71. Snapshots Journal PersistentActor Snapshot store State until Event C++ C++ Cobol
- 72. Snapshots Journal PersistentActor Snapshot store State until Event C++ C++ Cobol
- 73. Snapshots Journal PersistentActor Snapshot store State until Event C++ C++ Cobol
- 74. Snapshots Journal PersistentActor Snapshot store State until Event C++ Java C++ Cobol
- 75. Snapshots Journal PersistentActor Snapshot store State until Event C++ Crash Restart C++ Cobol Java
- 76. Snapshots Journal PersistentActor Snapshot store State until Event C++ C++ Cobol Java
- 77. Snapshots Cobol C++ Journal PersistentActor Snapshot store State until Event C++ C++ Cobol Java
- 78. Snapshots Cobol C++ Java Journal PersistentActor Snapshot store State until Event C++ C++ Cobol Java
- 79. Snapshots Cobol C++ Java Scala Journal PersistentActor Snapshot store State until Event C++ C++ Cobol Java
- 80. Akka HTTP
- 81. Akka HTTP Actor on JVM 1 Actor on JVM 2
- 83. Finite State Machine ▪ State ▪ Event
- 84. Finite State Machines (FSM) Inprogress Project Crappy Project New Project Progress, iteration Progress, iteration Progress, iteration NoProgress Progress, 2
- 85. Finite State Machines (FSM) Inprogress Project Crappy Project New Project Work harder Iteration: 0
- 86. Finite State Machines (FSM) Inprogress Project Crappy Project New Project Good job! Iteration: 0
- 87. Finite State Machines (FSM) Inprogress Project Crappy Project New Project Wrong direction Iteration: 0
- 88. Finite State Machines (FSM) Inprogress Project Crappy Project New Project Use Akka Iteration: 0
- 89. Finite State Machines (FSM) Inprogress Project Crappy Project New Project Good job! Iteration: 1
- 90. Finite State Machines (FSM) Inprogress Project Crappy Project New Project Wrong direction Iteration: 1
- 91. Finite State Machines (FSM) Inprogress Project Crappy Project New Project Use Akka Iteration: 1
- 92. Finite State Machines (FSM) Inprogress Project Crappy Project New Project Get another job! Iteration: 2
- 93. Conclusion
- 94. Conclusion ▪ Akka can be used with Scala or Java ▪ There is even a .NET version of Akka ▪ Akka is really powerful ▪ Akka is quite easy to use ▪ Some features are still experimental
- 95. Questions Johan Janssen @johanjanssen42 GitHub: https://github.com/johanjanssen/Akka-examples