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9. API(app.js) â express ã§ãã£ã¹ããã 1 app.get( // ããããã¼ã¸ 2 '/', routes.index.index); 3 app.get( // ããã«ä¸è¦§ 4 '/api/panels.json', routes.api.panels); 5 app.post( // ããã«ç»åã¢ãããã¼ã 6 '/api/upload.json', routes.api.upload); 9 10. routes/api.js // ç»åä¸è¦§ exports.panels = function(req, res) { var from = req.query.from; panelManager.retrievePanels(from, function( panels ) { res.json(200, panels); }); redisãã }; ç»
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A Ruby gem that lets you create slide shows and author slides in plain text using a wiki-style markup language that's easy-to-write and easy-to-read. The Slide Show (S9) project also collects and welcomes themes and ships "out-of-the-gem" with built-in support for "loss-free" gradient vector graphics themes.
Markdownã§å ¨ã¦ãæ¸ãä¸çã£ã¦ç´ æ´ãããããï¼ ããªãã ymrlã«ä¼ã£ãæã«ã便å©ãªãã®ä½ã£ããã£ã¦è¨ããã¦ãè¦ããæ¬å½ã«ä¾¿å©ããã ã£ãã®ã§ã ã¾ã æ¬äººãããã°ã«æ¸ãã¦ãªãããããã©æ¸ãã¦ããã£ã¦è¨ãããããæ¸ãã¾ãã æ¬ã¨ã³ããªã¼ã§ã®å®è¡ç°å¢ rvm (ver 1.9.2) ruby 1.9.2p290 mdslide (ver 0.0.4) [GitHub] mdslideã®ä¾åç°å¢ã¨ãã¦ArgsParserã¨RedCarpetãäºåã«ã¤ã³ã¹ãã¼ã«ãã¦ãã ããã ã¤ã³ã¹ãã¼ã«ãã¾ãã % gem install mdslide % mdslide [options] -i <Input File> options: -help (-h) Shows Help -output (-o) Output -input (-i) Input -theme (-t) theme -serv
The video from my Seattle Ignite talk last month on Startup Metrics for Pirates is now available for your viewing pleasure below: If you don't want to watch video, 80% of the value of the talk is in these 2 pix: Please feel free to steal this talk & distribute to others; my slides are here: and of course i am *always* open to feedback on this info. ps - SlideShare.net rocks... use it. Posted by Da
1. The document discusses various issues that can cause failures when building APIs to access database systems, such as deadlocks from concurrent updates and purging data inconsistencies between master and slave databases. 2. It proposes solutions to these issues like using queues to defer updates, disabling binary logging to bypass replication, and partitioning or sharding data. 3. When building
MongoDB is a document-oriented database that stores data in flexible, JSON-like documents. It supports features like replication, auto-sharding, and indexing. The document discusses using MongoDB with Ameba Pico's photo tagging service, including initial implementation with one shard, expanding to multiple shards as user numbers grow over time, and repairing and upgrading shards over time to suppo
This document discusses Hadoop and its ecosystem. It covers Hadoop distributions like Cloudera and Amazon's Elastic MapReduce service. It also discusses running SQL-like queries using MapReduce and moving data between MySQL and Hadoop. Key algorithms like map and reduce functions are explained through examples. Different Hadoop deployment options on EC2 like standalone, Cloudera, and EMR are also
1. Elastic MapReduce - Amazonãæä¾ããHadoopãµã¼ãã¹ - Amazon Data Service Japan Shinpei Ohtani 2. èªå·±ç´¹ä» 大谷 æå¹³(ãããã« ãããºã) ã¢ãã¾ã³ãã¼ã¿ãµã¼ãã¹ã¸ã£ãã³æ ªå¼ä¼ç¤¾æå± ï§ ã½ãªã¥ã¼ã·ã§ã³ã¢ã¼ããã¯ã ã½ã¼ã·ã£ã«ãããã¯ã¼ã¯ ï§ Twitter: @shot6 ï§ Facebook: facebook.com/shot6 ï§ Mail: ohtani@amazon.co.jp Hadoopã¦ã¼ã¶ã°ã«ã¼ãã®æ«å¸ã«ããã¾ã
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