CROSS2015 C4 ã®çºè¡¨è³æã§ã http://2015.cross-party.com/program/c4
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2. ï® åå: è è°·ä¿¡ä» ï® æå±: N2SM, Inc. ï® ãªã¼ãã³ã½ã¼ã¹æ´»å: ï° Apache Portals (Jetspeed2ãªã©) ã³ããã¿ ï° Seasarããã¸ã§ã¯ãã³ããã¿(S2Container, Teeda, SAStruts, DBFlute, S2Portlet, S2Robot..) ï° Fessããã¸ã§ã¯ãéå¶ ãªã©ãªã©ã»ã»ã» ï® Github: https://github.com/codelibs ï® Blog: http://www.chazine.com/ ï® Twitter: https://twitter.com/shinsuke_sugaya/ èªå·±ç´¹ä»
Both search engines have great benefits. Solr has a big variety of ResponseWriters, very good language support and advanced distributed capabilities with SolrCloud. On the other hand, ElasticSearch is built for the cloud from the beginning. ES is schemaless, it supports nested documents, multiple document types and it has a great feature named âPercolatorâ for Prospective Search. On the contra-sid
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6. è¦åºãèªï¼ï¼ååèªï¼ é¡ç¾©èªï¼ï¼ç¥èªãæ¥æ¬èªçé åèªï¼ å ¥å½ç®¡çå± å ¥ç®¡ ææ¿å · æå · 社å¡é£å ç¤¾é£ å½éé£ç å½é£ ãªããã¿ã³D ãªãD ãã«ãµã¤ã¦ã®ã°ã ãã«ã°ã æ¨ææå ãã ã¿ã¯ Universal Serial Bus USB ï¼æ¥æ¬èªã«ãããé åèªã®ä¾ï¼ Copyright (c) 2012 RONDHUIT Co.,Ltd. 6 7. è¾æ¸åã³ã¼ãã¹ ï¼è¦åºãèª,説æï¼Ã M é ç® è¨å®ãã¡ã¤ã« ï¼é¡ç¾©èªç¥èã®ç²å¾ï¼ ãã¹ã¦ã®è¦åºãèªã«é¢ã以ä¸ã ã«ã¼ãå¦ç Lucene/Solr ã¤ã³ããã¯ã¹ 1. é¡ç¾©èªåè£tBã®åå® ã¤ã³ããã¯ã¹ä½æ 2. è¦åºãèªtAã¨é¡ç¾©èªåè£tBã® é¡ä¼¼åº¦S(tA, tB)ã®è¨ç® 3. é¡ä¼¼ãªãã°åºå ⢠⢠⢠説è¦è¦ æåºåº ãã èªèª ã® èª CSVãã¡ã¤ã« ã¿ Copyright (c) 2012 RONDHUIT Co.,Ltd
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Sematextã®ããã°ã«ã¦é£è¼ããã"Solr vs ElasticSearch"ã®ç¿»è¨³ã ç¾å¨ãPart 6ã¾ã§åå¨ãããã®å ¨ã¦ã翻訳ããã Part 1 â æ¦è¦³ Part 2 â ã¤ã³ããã¯ã¹ä½æã¨è¨èªã®åæ± Part 3 â æ¤ç´¢ Part 4 â Faceting Part 5 - 管çAPIã®æ©è½ Part 6 â ã¦ã¼ã¶ã¨éçºè ã®ã³ãã¥ããã£æ¯è¼ ãªãããªãªã¸ãã«ã®è¨äºã¯ãã¡ãã®Part1ããå ¨ã¦è¾¿ããã¨ãã§ããã http://blog.sematext.com/2012/08/23/solr-vs-elasticsearch-part-1-overview/ ãã®é£è¼ã¯ã¾ã ç¶ãã¯ãã ãPart 7ããã¤åºãã®ãã¯ããããªããã¾ãåºãæã«ç¿»è¨³ãç¶ããããããããããªãã ãªãã訳è ã¯SolrãElasticSearchã大ããç¥èãæã£ã¦ããªãã誤訳çè¦ã¤ããããããã²ã³
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Designed to be small, yet full featured, Lunr enables you to provide a great search experience without the need for external, server-side, search services. Add powerful language processors to give more accurate results to user queries, or tweak the built-in processors to better fit your content. Lunr has no external dependencies and works in your browser or on the server with node.js
Plugins are a way to enhance the basic Elasticsearch functionality in a custom manner. They range from adding custom mapping types, custom analyzers (in a more built in fashion), custom script engines, custom discovery and more. For information about selecting and installing plugins, see Elasticsearch Plugins and Integrations. For information about developing your own plugin, see Help for plugin a
ä»æ¥ã®ã¹ã©ã¤ã http://swdyh.github.com ãã©ã¦ã¶æ¡å¼µéçº AutoPagerize ãã¼ã¸ã®èªåç¶ã足ã http://autopagerize.net JavaScriptãRubyãGoã«èå³ ã·ã¹ãã éçºã«æ¤ç´¢ã¯ã¤ããã® å°è¦æ¨¡ãªãå ¨ä»¶èµ°æ» LIKE '%query%' ããã§éã«åããªããªã£ã¦ããã¨å ¨ææ¤ç´¢ã¨ã³ã¸ã³ ãããããindexãä½ããæ¬ã®æå¾ã«ããindex Namazu, Hyper Estraier, Senna, Tritonn, Groonga, Sphinx, Lucene, Solr, elasticsearch
All the power of the Solr search engine; all the beauty of Ruby. Sunspot exposes all of Solr's most powerful search features using an API of elegant DSLs. That means robust, flexible fulltext search with no boolean queries and no string programming. Index your objects. class Post < ActiveRecord::Base searchable do text :title, :body text :comments do comments.map { |comment| comment.body } end int
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