Akka Essentials by Kumar Gupta Munish PDF

By Kumar Gupta Munish

ISBN-10: 1849518289

ISBN-13: 9781849518284

A useful, step by step advisor to benefit and construct Akka's actor-based, allotted, concurrent, and scalable Java applications
* construct huge, disbursed, concurrent, and scalable functions utilizing the Akka's Actor model
* uncomplicated and transparent analogy to Java/JEE program improvement international to give an explanation for the concepts
* every one bankruptcy will educate you an idea via explaining it with transparent and lucid examples– every one bankruptcy will be learn independently

In Detail

Developers/Architects have to deal with the high-quality stability among the ever expanding load and ever lowering reaction latency. purposes must be designed for net scale, this means that try to be expert in construction huge disbursed, scalable, and concurrent functions. even if you're construction the following fb or operating for a Fortune 500 association, you have to be able to layout scalable, concurrent, and fault-tolerant purposes. Akka is a toolkit and runtime for development hugely concurrent, disbursed, and fault-tolerant event-driven functions at the JVM.

"Akka Essentials" will express you the present demanding situations with Java Scalability and concurrency version and the way Akka's Actor version can assist layout and construct functions which are inherently scalable and fault-tolerant. no matter if you're development new functions or are looking to refactor an present software, you'll research the best recommendations to construct and scale up in no time.

What you'll examine from this book
* Scale up and out your purposes utilizing dispatchers and remoting
* construct fault tolerance inside of your application
* deal with transactions inside of your application
* Unit try your Akka applications
* combine your Akka functions with present firm structures utilizing Zeromq
* visual display unit the future health of your Akka application


This is a step by step advisor the place every one bankruptcy will educate you an idea via explaining it with transparent and lucid examples– every one bankruptcy may be learn independently.

Who this ebook is written for

This publication is geared toward builders, architects who're development huge disbursed concurrent and scalable purposes utilizing Java/Scala. The ebook assumes wisdom of Java/JEE ideas yet no wisdom of Actor version is assumed.

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Define a SearchResult type, which may either fault in an error or result in a success, as presented in the following code: type SearchResult = Either SearchResultErr [String] data SearchResultErr = NoResultsErr | TooManyResultsErr | UnknownErr deriving (Show, Eq) 3. Define the POST request specified by the directory search website. Depending on the server, the POST request will be different. Instead of rewriting code, we use the myRequest function defined in the previous recipe. 4. Write a helper function to obtain the document from a HTTP POST request, as shown in the following code: getDoc query = do rsp <- simpleHTTP $ myRequest query html <- getResponseBody rsp return $ readString [withParseHTML yes, withWarnings no] html 5.

Hs ["Thu Dec 18 15:03:23 EST 2014", "Fri Dec 19 3:12:00 EST 2014"] How it works... The library function, runX, takes in an Arrow. Think of an Arrow as a more powerful version of a Monad. Arrows allow for stateful global XML processing. Specifically, the runX function in this recipe takes in IOSArrow XmlTree String and returns an IO action of the String type. We generate this IOSArrow object using the readString function, which performs a series of operations to the XML data. For a deep insight into the XML document, //> should be used whereas /> only looks at the current level.

Use the OverloadedString and ExtendedDefaultRules language extensions required by the library. Split 2. com:53788/mydb" 34 Chapter 1 3. pack $ tail $ uriPath uri 4. Create a database connection by reading the host port of the remote URI as follows: main :: IO () main = do let hostport = getHost ++ ":" ++ getPort pipe <- runIOE $ connect (readHostPort hostport) e <- access pipe master getDb run close pipe print e 5. pack getPass) getData getData = rest =<< find (select [] "people") {sort=[]} See also If the database is on a local machine, refer to the Using MongoDB queries in Haskell recipe.

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