akka framework

The Akka provides scalable, real-time transaction processing capabilities.The Akka is based on actor and provides location transparency.The 1GB heap can have 2.5 million actors.Horizontal expansion, vertical expansion, fault tolerance 3 ways to solve.The actor of the tree structure, each actor has state and behavior.DT Big Data Dream Factory public account: Dt_spark.DT Big Data Dream Factory's public number

Scala Beginner's intermediate-Advanced Classic (66th: Scala concurrent programming experience and its application in Spark source code) content introduction and video link2015-07-24DT Big Data Dream FactoryFrom tomorrow onwards, be a diligent person.Watch videos, videos, share videosDT Big Data Dream Factory-scala--Advanced Classic: 66th: The first experience of Scala concurrent programming and its application in spark source codeThis video illustrates the drawbacks of the Java language-based co

. The basic principle of the CQRS mode is to detach the read and write of the database in order to improve the response of the large data type network application. Of course, from another aspect, event-sourcing as a new database operation mode, should be able to solve any database application software commonly faced with the lack of data replay, and the use of database pressure and other issues. The initial intention is to focus on the Persistenceactor-based ES schema database application and th

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 pr

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

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

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

Akka is a concurrent processing framework based on the actor model. Based on the event-driven concurrent processing model, each actor has its own attributes and operations, thus avoiding the need to share attributes (data) between multiple threads) instead, the lock mechanism is used for processing. This mechanism is well applied in Scala and cloure languages. It puts operations and attributes in an indepen

(Scala sends the message asynchronously). Such as:Actor! MessageAkka is the Advanced class library of the actor programming model, which is similar to the increasingly rich concurrency toolkit after JDK 1.5, simplifying programmer concurrency. The Akka is a toolset and runtime environment for building highly concurrent, distributed, scalable, Java Virtual machine-based message-driven applications. You can see the simplicity of

processing framework that uses the Actor model and STM (software Transactional Memory) to enhance the idle sector, providing a better concurrency processing platform and high scalability. Akka Features: Simpler scalability, high fault tolerance, concurrency control and remote control with actor Akka Concrete Implementation Create Actor:akka to create an actor i

includes Spark, Mesos, Akka, Cassandra, and Kafka, with the following features: Contains lightweight toolkits that are widely used in big data processing scenarios Powerful community support with open source software that is well-tested and widely used Ensures scalability and data backup at low latency. A unified cluster management platform to manage diverse, different load applications. When deploying specific applications,

= 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

combinations. Each combined Actor stores the number of events in the last 30 minutes (in seconds) through the ring buffer. Every second, the buffer will scroll to a position, and the Actor will calculate the event frequency, check whether the frequency has exceeded the threshold value set by the system and send the result to ElasticSearch Actor. ElasticSearch Actor is just an ActorPublisher, responsible for sending data to ElasticSearch stream-driven The process of the second solution is as

Introduction Akka Before you need to say a little bit scala,scala claims to be the next generation JVM language, The integration of the object-oriented Java, as well as functional programming in one, unusually powerful, but also complex, this article is not controversial, let's briefly introduce. The Akka framework is based on Scala and a small amount of Java co

includes Spark, Mesos, Akka, Cassandra, and Kafka, with the following features: Contains lightweight toolkits that are widely used in big data processing scenarios Powerful community support with open source software that is well-tested and widely used Ensures scalability and data backup at low latency. A unified cluster management platform to manage diverse, different load applications. When deploying specific applications,

Because of the recent work relationship, you want to split the asynchronous task from the application server into a dedicated asynchronous processing server.Programme Iis to use MQ to send a task message to the server for processing, as shown in:This scheme uses MQ as the intermediate medium, using the thread pool asynchronous processing task on the server side, after processing completes sends the result to the MQ, the client listens the way obtains the result to continue processing. T