Synchronized is Java’s traditional concurrency mechanism. Although it is probably not something we see often these days, it is still fueling. A programmer reminisces about his first experience with Akka and how cake, the vendor was even ready to maintain this system free of cost. Akka Concurrency and millions of other books are available for Amazon Kindle. . Note: Available at a lower price from other sellers that may not offer free Prime .

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Kasey Speakman 3, 11 So let us get our hands dirty and write a Hello World program. There are more than public projects registered on GitHub which use Akka.

Build powerful reactive, concurrent, and distributed applications more easily

Not so efficient Because of enforced immutability and because many actors have to switch in using the same thread actors won’t be as efficient as lock-based concurrency.

Think about the joy a bank would feel. If you read how the above problem is implemented, it is implemented using a pull strategy, where what a consumer thread will do is pull in a new task after it is finished with the current task.


I keep reading that one of the main points to choose Akka is the way it manages concurrency. This is a very basic cash withdraw method.

If you’re still using Synchronized, you should try Akka Actor instead — here’s why

Other modules are available to add features such as network distribution of actors, cluster support, Command and Event Sourcing, integration with various third-party systems e. I need something like a thread pool to limit the number of threads. The problem is, synchronized is both blocking and complicated.

Language bindings exist for both Java and Scala. Simple and high-level abstractions for concurrency and parallelism. Organizations with extreme requirements rely on Akka and other Lightbend technologies.

So return true if x is positive. Actor model solves this issue by enforcing immutability. As easy as that, and you don’t need to think about synchronization.

Dealing with multiple locks is particularly risky. When the actor goes to process the change, it notices that the 2nd user thinks it’s updating Version 5 when the form is actually at Version 6 because of the first user’s update. With transactional memory however you are guaranteed deadlock free. Distributed systems without conxurrency points of failure. So I tried to understand this concept. Although it is probably not something we see often these days, it is still fueling many libraries.


Pages using Infobox software with unknown parameters. It also happens to be dangerous. Examples are taken from the Akka documentation. Then I realized I forgot about error handling.

So thinking in a similar analogy to conchrrency bank, previously we used to stand concurrenct a queue for our turn, and the bank had a headache of maintaining this queue. Besides many web articles describe the commercial use of Akka [34] [35] there are also overview articles about it. Covers Play, Akka and Reactive Streams. Archived from the original on 13 August Every lecture or article on Threading always mentions a Consumer and producer problem.

If you’re still using Synchronized, you should try Akka Actor instead — here’s why

This set works like the queue at the bank counter. Get updates Get updates. No need to grasp and use low-level concepts such as the memory akkw. From Wikipedia, the free encyclopedia.

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