scala
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Scala会議に参加してきました「ScalaからGPUを使ってみる ScalaCL Compiler Plugin」 勉強会はBlogを書くところまでが勉強会です。ということで久しぶりに書きます。あいかわらずのLTの時間破り魔っぷりでした。申し訳ありませんでした。
Scala会議に参加してきました「ScalaからGPUを使ってみる ScalaCL Compiler Plugin」 - chimerastのエレガント指向プログラミング日記
■ [ Java ][ .NET ][ Groovy ][ Scala ][ F# ] 非同期処理でWebコンテンツを ダウンロード する方法 - Groovy , Scala , F# 前回（ id:fits:20110925 ）、並列コレクション等で Web コンテンツを ダウンロード する処理を実装してみましたが、今回はその非同期処理版を Groovy , Scala , F# で実装してみました。（主な仕様は前回と同じ） 実行例 groovy async_download_web.groovy destdir < urls.txt
非同期処理でWebコンテンツをダウンロードする方法 - Groovy, Scala, F# - なんとなくな Developer のメモ
Instance Type (Abstract type gotcha 1)
In a previous post about abstract types I showed one of the benefits of using abstract types over parameterized types. Abstract Types vs Parameter . The next several posts will feature potential problems you may encounter when using Abstract Types. I should point out that abstract types are not inherently difficult to understand but they are rather different from anything you will see when you come from the Java world so if you are new to them I would use them with caution at first. In the abstract types example you will notice that the abstract type 'I' in Foreach is not within the trait Source rather it is outside in the Foreach trait. At first one might consider putting the type in Source rather than Foreach.並列処理でWebコンテンツをダウンロードする方法 - Groovy, Scala, C#, Java, Ruby - なんとなくな Developer のメモ
■ [ Java ][ C# ][ Groovy ][ Scala ][ Ruby ] 並列処理でWebコンテンツを ダウンロード する方法 - Groovy , Scala , C# , Java , Ruby 複数のWebコンテンツ（ HTML や画像など）を ダウンロード する際に 1件ずつ処理していたのでは非効率です。 というわけで、並列的にWebコンテンツを ダウンロード する プログラム を Groovy , Scala , C# , Java , Ruby で実装してみました。 主な仕様は以下で、外部 ライブラリ を使用せずに実装しました。 実行時の第1 引数 で出力先 ディレクトリ を指定 ダウンロード 対象の URL を 標準入力 で指定（改行区切りで複数指定） URL 内のファイル名を出力ファイル名として使用
monad
Still loving the Scala - Richard Dallaway
May 10, 2009 The other night I sat down to satisfy just one more quick-fix screen-scraping twitter-based itch. Of course I decided to scratch using Scala, and it really is an attractive language for "doing stuff". It also made me reflect on how Scala has already started to changed the way I write software.
Sending Play Framework File Uploads to Amazon S3
UPDATE: I’ve released a S3 Play Module based on this project. A couple of questions [ 1 , 2 ] on StackOverflow.com led me to look into how we can send file uploads in a Play Framework application to Amazon S3 instead of the local disk. For applications running on Heroku this is especially important because the local disk is not persistent. Persistent disk storage makes it hard to scale apps. Instead of using the file system, it’s better to use an external service which is independent of the web tier. While at JavaZone I sat down with Peter Hilton and Nicolas Leroux to come up with a way to handle this.
You can get a feeling of the product by starting the demo application in the distribution package. No additional installation, except Java 6 or later, is required to run the demo. The Typesafe Console consists of the tracing and backend analytics, which is referred to as Atmos, and the frontend is the Graphical Console .
Getting Started — Typesafe Console Documentation
In this article we'll look at how you can connect from Scala to RabbitMQ so you can support the AMQP protocol from your applications. In this example I'll use the Play Framework 2.0 as container (for more info on this see my other article on this subject) to run the application in, since Play makes developing with Scala a lot easier. This article will also use Akka actors to send and receive the messages from RabbitMQ. What is AMQP First, a quick introduction into AMQP.
Connect to RabbitMQ Using Scala, Play and Akka
Tutorial: Play Framework 2 with Scala, Anorm, JSON, CoffeeScript, jQuery & Heroku
Play Framework 2 RC2 has been released and it is quickly becoming a mature and productive way to build modern web apps. Lets walk through building a quick app with Play 2, Scala, Anorm, JSON, CoffeeScript, and jQuery. Once the app works locally we will deploy it on the cloud with Heroku.
ついったーさんやってますか? ついったーさんのバックエンドは、実は scala で書かれているってご存じですか? 急成長するついったーさんのバックエンドを支えるなんてすごいですね scala ! ついったーさんと scala のお話は、こちらを参考に。
twitterでも利用されているメッセージキュー Kestrelを試す - ゆるよろ・オブ・ザ・( ;ﾟ皿ﾟ)ﾉｼΣ ﾌｨﾝｷﾞｨｨｰｰｯ!!! 日記
Using Akka Actor in Play2.0
I 've been learning Play framework 2.0 for a while. The documentation did a relatively decent job, it has some minor typos and doesn't cover all the framework features, which are totally understandable since it is still a working progress. The samples ship with the framework are really really good, you can really learn lots from the samples, and of course there is scala doc. However, if you like me: a scala newbie doesn't have too much experiences with Akka, SBT, and other scala libraries play based on; Learning play seems to be an overwhelming task at the beginning.Bootstrap、Hogan.js、Finagleなど注目のTwitter系オープンソース
<IMG SRC="http://img.itmedia.jp/so/images/sa/b/286/293644/300692295/brocade_rec_6.jpg" WIDTH="300" HEIGHT="300" usemap="#map_730043182" BORDER="0" ALT=""> <iframe height=300 width=300 marginwidth=0 marginheight=0 hspace=0 vspace=0 frameborder=0 scrolling=no src="http://dlv.itmedia.jp/adsv/v1?posall=ITR&id=2075500908"></iframe> 「Twitter Open House」はTwitter社のエンジニアと直接情報交換ができるオフラインイベントで、すでにサンフランシスコの本社では何度か開催している。Let it crash • 50 million messages per second - on a single machine
50 million messages per second on a single machine is mind blowing! We have measured this for a micro benchmark of Akka 2.0. As promised in Scalability of Fork Join Pool I will here describe one of the tuning settings that can be used to achieve even higher throughput than the amazing numbers presented previously. Using the same benchmark as in Scalability of Fork Join Pool and only changing the configuration we go from 20 to 50 million messages per second. The micro benchmark use pairs of actors sending messages to each other, classical ping-pong. All sharing the same fork join dispatcher.Play 2.0 の Cache API が使うに耐えない Play 2.0（厳密にはこの記事の執筆時の最新 2.0.3）の Cache API はほんとうに使うに耐えません（Scala での話。Java ではどうだか試してません）。Ehcache を直で扱ったほうがよっぽどよさそうです。