akka performance

I have been learning to use akka for a year. At present, I am still used to writing programs under akka in Java. For native Scala, there is still no time and interest to learn it. After all, learning a language requires interest and time. Akka learning resources are not rich yet. I have read the official Programming Manual and the

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 independent unit for processing, thus improving the

First part: Actor Architecture Akka version 2.5.8Copyright NOTICE: This article for Bo Master original article, without Bo Master permission not reproduced. Akka provides you with some basic functionality for creating an actor system, and has implemented the underlying code necessary to control basic behavior. To understand this, let's take a look at the relationship between the actor role you created and

SOURCE Https://www.playframework.com/documentation/2.5.x/JavaAkka#Scheduling-asynchronous-tasksAkka uses the Actor model to provide an abstraction layer, providing a better platform to build the right multi-threaded and extensible applications. In terms of fault tolerance, the ' Let it Crash ' model, which has been successfully used in communications, is used primarily to build a never-stop self-health system. Actors provides an abstraction for transport distribution, providing the basis for sca

more efficient than threadpool, we choose the Dispatcher classification by default Dispatcher: The default dispatcher type, which uses the defined excutor to process messages in the actor, often provides the best performance pinneddispatcher: Assigning a unique thread to each actor, and creating a threadpool for each actor Excutor, each excutor contains a thread that can handle many important tasks in a single actor using this dispatcher, otherwise

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,

Route is the core part of Akka-http routing DSL, which makes it easy for users to filter http-request from Http-server, perform server operations, and build replies Http-response. The main purpose of the so-called screening http-request is to allow request to enter the next inner route, or to reject reject request. For example, this ~ symbol: it connects up and down two separate route. If the route above rejects a request, the following route will the

Use Akka to optimize quasi-real-time systems of Spark + ElasticSearch In this scenario, the system receives a large number of events every second. Each event contains many parameters, in addition to quasi-real-time data, you must periodically determine whether the combination of each event and event parameter value has exceeded the threshold value set by the system. In this scenario, what kind of solutions should users adopt? Recently, Android Camilo,

Echoserver In the previous article, we used akka to write a simpleHelloworldFor exampleActorMode) has a preliminary understanding. This article uses akka to writeEchoserverTo see how to use actor in the worldTCP protocol. GitHub Project As usual, the echoserver code is put on GitHub. Echoserver is a little more complex than helloworld. There are three classes, as shown in: Main Start with the main

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 code, and Scala replaces its own underlying act

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,

Akka send a message to the actor in the following way! Tell means "Fire-and-forget", that is, asynchronously sending a message without waiting for the result to be returned ? Ask asynchronously sends a message and returns a future that represents a possible reply. Messages are ordered on a per-sender basis. MailBox The Akka mailbox contains messages destined for the actor. Usually each actor has its own mai

 Http://www.tuicool.com/articles/m2muui The original http://2014.54chen.com/blog/2014/04/17/how-to-use-akka-in-java-3/ An example is also a classic example of Typesafe. Examples of services provided are the transmission of text. When the text is sent to the frontend node, it delegates the backend node, backend performs the transformation task, and returns the result to the original client. The new backend nodes and Frontend nodes can be dynamically

1. Test Objective: verify that Akka ensures that each instance of the actor runs in its own lightweight thread and has its own queue, guaranteeing FIFO processing of each message. 2, Akka actor is both a transmitter and receiver, send messages and receive messages must pass their own OnReceive method. 3. If you use the same instance test obtained from spring, the result is that each actor instance is self-

Akka-persistence-hbase-master is the component responsible for Akka persistence, using the Async method to manipulate HBase, Akka logs persisted into hbase.Akka-persistence-hbase-master to create a journal table before persisting, the configuration of the table is stored in the application.conf file.The Akka.persistence.hbase.journal.HBaseJournalInit object is re

Title, to test the Akka Actor model remote transmission restrictions, the results have really found a point.The design test cases are as follows:Client side:1 Packagecn.wanda.local2 3 ImportAkka.actor.Actor4 Importmodule. {ListType, Jsontype, Seqtype}5 6 Importjava.util.ArrayList7 /**8 * Created by Administrator on 2014/11/17.9 */Ten classLocalactorextendsActor { One AVal remote = context.actorselection ("Akka.tcp://[email protected]:8000/user/remo

Main content:1. Typed actor Definition2. Typed actor Created3. Message sent 1. Typed actor Definition The typed actor in Akka is the implementation of the active objects design pattern, and the active objects mode will decouple the execution of the method and the invocation of the method, thus introducing concurrency into the program. The Typed actor is composed of a common interface and a corresponding implementation, and its underlying implementatio

What should I do if I want to fault tolerance? The parent actor first needs to know the failure status of the sub-actor, and then determine what to do. What to do is called supervisorstrategy ". // Restart the storage child when storageexception is thrown. // After 3 restarts within 5 seconds it will be stopped. Override Val supervisorstrategy = oneforonestrategy (maxnrofretries = 3, Withintimerange = 5 seconds ){ Case _: storage. storageexception => restart } What does supervisorstrategy do?An

Spark is a distributed computing framework, and there must be communication between multiple machines. Spark was implemented in earlier versions using Akka. A rpcenv is now abstracted from the upper Akka. The rpcenv is responsible for managing communication between machines.The RPCENV consists of three main cores: Rpcendpoint the message loop body, which is responsible for receiving and processing

. 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