akka performance

capability and is supervised locally/remotely.* High Performance (performance)You can send 50 million messages per second in a single machine. The memory footprint is small, and 2.5 million actors can be saved in 1GB memory.* Elasticity, no center (elastic-decentralized)Adaptive responsible Equalization, routing, partitioning, configuration* Extensible (extensible) can be extended using the

This blog gradually analyze the source of Akka streams, of course, must be gradual, and estimates will be divided into many, after all, Akka streams is more complex. Implicit val system = Actorsystem ("QuickStart") implicit val Materializer = Actormaterializer () When using streams-related APIs, the above two objects must be created. Actorsystem no longer said, we came to see Actormaterializer. Actormateri

Akkais a concurrent processing framework based on the Actor model implementation. Event-driven concurrency processing model, each actor has its own properties and operations, which avoids the usual situation because multiple threads share attributes (data) instead of locking mechanisms. This mechanism is applied well in the Scala,cloure language, and the operations and attributes are processed in a separate unit to improve the ability of concurrent processing. Five characteristics of

A period of time has been immersed in functional programming mode, one of the main purposes is to master a set of safe and reliable concurrent programming method (concurrent programming), finally through the Open source project Funda implementation of the single-machine multi-core CPU program parallel operation. However, although the parallel operation in the terminal can make full use of the computing power of multi-core CPU to distribute data processing operations to the foreground can greatly

As we all know, Akka system is a distributed computing system based on actor mode, which is very suitable for building big data platform. As a result, there is an unavoidable need to integrate between standalone systems, with heterogeneous systems, and with mobile systems. Because of the heterogeneous and mobile systems involved, the system docking must be conducted on a set of open standards, including data format and transmission standards. In fact,

Scala has been using Akka as a concurrency model since 2.10, and this article is the first example of Akka.1.Akka Getting Started instance PackageCom.tv189.actorImportAkka.actor. {Actor, Actorsystem, Props}/*** Created by Molyeo on 2015/8/6.*/Object AkkaTest01extendsApp {val system= Actorsystem ("Akkatest") Val Helloactor= System.actorof (Props[helloactor], name

server and sends the task to the Akka cluster. Using Clusterclient is a very wrong decision because it does not maintain a long connection to the Akka cluster, so it often reports a connection error, and also restarts the JVM where the client resides when the connection is re-established. Elasticsearch is used as the query engine and data store, including raw data and analysis results. The Kibana i

Often people ask: what is the difference between Akka's actor and Scala's actor? The answer here is that, from the Actor model point of view, there is no difference, they all implement the actor model.Akka actors and Scala actors are both implementations of that model.All actors model says that your concurrency primitives is actors, which can: receive a message and decide what does next depending on the content of the message, including: send messages to any actors they know abo

to the actor it represents, and the actor can use the self () or sender () method to obtain the actor's reference to itself or the sender of the message, and in the actor system, the actor never communicates directly between the actors, The communication actor path must be established through their proxy actorref Father and son actorTree structure, hierarchical management, and the atomization of complex transactions by recursion The actor Path:actor system uniquely identifies the local actor"

created by Actors.' Stop ' is often applied to ' self '.10. Complete ExamplePackage Week5import Akka.actor.Actorimport Akka.actor.Propsclass Countermain extends actor {val counter = Context.actoroF (Props[counter], "Counter") Counter!"INCR" Counter!"INCR" Counter! "GET" def receive = {Case Count:int = println (S "Count is $count") Context.stop (self)}Package Week5import Akka.actor.Actorclass Counter extends actor {var count = 0 def receive = {case "incr" = = CouNT + = 1 case "Get" = sender! Cou

Before play 2.6.x, the play defaults to using the Netty service backend. By 2.6.x, the default service backend is replaced with Akka HTTP, but it is still possible to manually select the Netty service backend. To upgrade to 2.6.x, you need to be aware of this. Because Akka HTTP servers are slower than Netty HTTP servers. So if you are particularly sensitive to performan