Problem: Shared mutable variables/state One solution: Isolated Mutability Lots of work writing/debugging the “plumbing” rather than application logic Easy to create deadlock and hard to recover from Allows you to write at a higher level than jvm concurrency tools Most of the “plumbing” is taken care of for you – focus on application logic instead Send them messages, stored in message queue Only one message is processed at a time from the queue Client sends messages to actor Actor has a receive method Thread pool serves an actor, when message is finished processing, thread is returned to the thread pool Deadlocks still possible, but you can recover and get the thread back via timeouts Actor doesn’t always get the same thread, this is abstracted away Actors only process one message at a time Useful when you have tasks you want to run at the same time but each task must be sequential No handling locks, etc. – can focus on writing higher level code Actors treat reads and writes exactly the same Readers are not given any more priority than writers (lots of reads will be delayed until reads and writes in front of them are finished)
Deadlock still possible with two way communication Try to avoid using two-way communication Pattern: Give actor a message to go do something, when it’s done it sends another actor its answer (rather than blocking waiting for a response) Need immutable messages to send to actors, if they are both accessing mutable state, we have a problem Can include as a dependency in your sbt projects Using g8 template for example % brew install giter8
% g8 typesafehub/akka-scala-sbt
% cd <dir>
Open PingPong.scala and walk through the code Ping and Pong are two actors that exchange messages a pre-determined number of times It’s a good practice to include the messages that an object responds to in Protocol objects Open the Scala REPL and paste in the object and class definitions Try to instantiate a Pong instance directly and explain why that is not possible val pong = new Pong
Run the PingPongTest example and explain how the threads are managed by the default dispatcher Allows messages to be processed in parallel (mice) RabbitMQ client integrates AMQP messaging with Akka Scribe - communicate with persistent datastores with Akka-style messaging
