Build Akka development on IntelliJ idea.Reason for using idea: there is no need to spend time learning to configure; using idea will make it more natural and more intelligent.Support is better on MAVEN,SBT.Some of Maven's features are described, and Maven is much more used.Sample word Count code for a simple explanation.DT Big Data Dream Factory public account: Dt_spark.DT Big Data Dream Factory's public number is Dt_spark, every day will have big dat
Masteractor the way to initialize Mapactor,reduceactor,aggregateactor.DT Big Data Dream Factory public account: Dt_spark.DT Big Data Dream Factory's public number is Dt_spark, every day will have big data actual combat video release, please continue to study.Liaoliang DT Big Data dream factory Scala all videos, PPT and code in Baidu Cloud disk link:http://pan.baidu.com/share/home?uk=4013289088#category/type=0 Qq-pf-to=pcqq.groupQQ Group:DT Big Data Dream Factory ①:462923555DT Big Data Dream Fact
Actorsystem Jian Masteractor.Akka's actor is a tree-shaped structure that can be used to find actors that are distributed across multiple machines, as well as to inherit some of the configuration to sub-actors.The Masteractor is the receiving and forwarding side of the message.Actorsystem run out to shutdown.650) this.width=650; "src=" http://s3.51cto.com/wyfs02/M00/73/0C/wKioL1Xy6jLg3na0AAHWtddXN6k639.jpg "title=" Akka_ Practice.png "alt=" Wkiol1xy6jlg3na0aahwtddxn6k639.jpg "/>DT Big Data Dream
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
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
= actorsystem.create ("Mysystem") using props;
Final Actorref Actor1 = system.actorof (Props1, "Actor1");
Final Actorref Actor2 = system.actorof (PROPS2, "Actor2");
Actor2.tell (Msg.hi, Actor1);
System.stop (Actor1);
System.stop (ACTOR2);
System.shutdown ();
} public static void Main (string[] args) {communication ();
}
}
The props1 created above, the parameters passed are Actor1.class, "Actor1", 1. where "Actor1" and 1 correspond to two parameters of a constructor. Back to Act
This document has been translated from building Analytics Engine Using Akka, Kafka ElasticSearch, and has been licensed by the original author Satendra Kumar and the website.In this article, I'll share with you my experience in building large, distributed, fault-tolerant, extensible analysis engines with Scala, Akka, Play, Kafka, and Elasticsearch.My analysis engine is mainly used for text analysis. Input
Actor model and Akka
I. Actor model
Actor Model ConceptA conceptual model for dealing with concurrency computation the state of an actor is maintained by its own behavior, and external threads cannot invoke the behavior of the object directly, and must pass the message to excite the behavior, thus guaranteeing that the actor's internal data is modified only by itself
Actor Model Composition
The Actor model is detailed in the Actor model, everything
Want to get Akka http, used for our open source project football, found Akka http in the case of a large number of Akka stream, and Akka HTTP is built on the Akka stream.So let's take a look at Akka stream first to understand the
Akka entry-become and unbecome, akkaunbecomeAkka supports real-time replacement of the role message loop (such as its implementation) at runtime: Call the getContext. become method in the role. Hot replacement code is stored in a stack and can be pushed (replacing or adding at the top) and popped.A particularly good example of become is to use it to implement a finite state machine.The Become/Unbecome feature can also be used to conveniently implement
. The good news is that akka's actor, in terms of concept, contains a lightweight thread of its own, which is completely separated from other parts of the system. This means that you do not need to consider synchronization locks.In the background, akka runs multiple actor objects on a physical thread. Generally, several actors share a physical thread, the subsequent calls of an actor may use different physical threads, but these implementation details
Akka
What is akka? Directly reference the above description on the akka Website:
Akka is a toolkit and runtime for building highly concurrent, distributed, and fault tolerant event-driven applications on the JVM.
Anyway, I think akka is difficult to get starte
"
}
Remote {
enabled-transports = ["Akka.remote.netty.tcp"]
netty.tcp {
hostname = "127.0.0.1"
port = 5155
}
}
}
Object Local extends App {
val system = Actorsystem ("LocalSystem")
val localactor = system.actorof (props[ Localactor], name = "Localactor")//The local actor
Localactor! "Start"//Start the action
}
Class Localactor extends Actor {
//Create the remote actor
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 performance, you will need to manually select t
What is Akka. It provides the Actor programming model on the JVM-both concurrency and distribution. It was written by Scala, instead of the Actor of Scala itself. The Actor's vision is a heavyweight resource, capable of higher concurrency with a small amount of memory, something like a fiber, a process. One data comparison is the same 1GB memory, can create 2.7M actors, and threads can only create 4,096, for reference only, of course, Java will also b
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