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hamaco 2015/02/27
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hamaco 2014/08/18
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hamaco 2014/05/16
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ãƒ«ãƒ¼ã‚¯ã€ MongoLab ã‚’ä½¿ãˆï¼ - @kyanny's blog
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hamaco 2013/07/29
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Mongo DB Casual Talksã«è¡Œã£ã¦ããŸ - matsuou1ã®æ—¥è¨˜
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hamaco 2012/08/01
MongoDB
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Webãƒ™ãƒ¼ã‚¹ã®MongoDBç®¡ç†ã‚¤ãƒ³ã‚¿ãƒ•ã‚§ãƒ¼ã‚¹Â·mViewer MOONGIFT
mViewerã¯Webãƒ™ãƒ¼ã‚¹ã®ã‚·ãƒ³ãƒ—ãƒ«ãªMongo DBç®¡ç†ã‚¤ãƒ³ã‚¿ãƒ•ã‚§ãƒ¼ã‚¹ã§ã™ã€‚ æœ€è¿‘ã¯NoSQLã‚’é‹ç”¨ã®ä¸€éƒ¨ã«ä½¿ã†ã“ã¨ãŒå¢—ãˆã¦ãã¾ã—ãŸã€‚ãã†ãªã‚‹ã¨å¿…è¦ã«ãªã‚‹ã®ãŒç®¡ç†ãƒ„ãƒ¼ãƒ«ã§ã™ã€‚ã™ãã«ä½¿ãˆã¦æ‰‹è»½ãªã‚‚ã®ãŒè‰¯ã‘ã‚Œã°mViewerã‚’ä½¿ã£ã¦ã¿ã¾ã—ã‚‡ã†ã€‚èµ·å‹•ã‚³ãƒžãƒ³ãƒ‰ã‚‚ç”¨æ„ã•ã‚Œã¦ã„ã¦ç°¡å˜ã§ã™ã€‚ ãƒˆãƒƒãƒ—ãƒšãƒ¼ã‚¸ã§ã™ã€‚ãƒã‚°ã‚¤ãƒ³ã—ã¾ã™ã€‚ ãƒã‚°ã‚¤ãƒ³ã—ã¾ã—ãŸã€‚å·¦å´ã«ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ãŒä¸¦ã‚“ã§ã„ã¾ã™ã€‚ ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã‚’é¸æŠžã™ã‚‹ã¨ã‚³ãƒ¬ã‚¯ã‚·ãƒ§ãƒ³ãŒè¡¨ç¤ºã•ã‚Œã¾ã™ã€‚ ã‚³ãƒ¬ã‚¯ã‚·ãƒ§ãƒ³ã¯ãƒ„ãƒªãƒ¼ãƒ†ãƒ¼ãƒ–ãƒ«ã§è¡¨ç¤ºã‚‚ã§ãã¾ã™ã€‚ ã‚µãƒ¼ãƒã®çŠ¶æ³è¡¨ç¤ºã€‚ ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã®çŠ¶æ³è¡¨ç¤ºã€‚ ãƒ„ãƒªãƒ¼ã‚’é–‹ã„ã¦ã•ã‚‰ã«å†…éƒ¨ã®å€¤ã‚’ç¢ºèªã§ãã¾ã™ã€‚ Flashãƒ™ãƒ¼ã‚¹ã®åˆ©ç”¨çŠ¶æ³ãƒ¢ãƒ‹ã‚¿ãƒªãƒ³ã‚°ã€‚ æ–°ã—ã„ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã®ä½œæˆã‚‚ã§ãã¾ã™ã€‚ ã‚³ãƒ³ãƒ†ã‚¯ã‚¹ãƒˆãƒ¡ãƒ‹ãƒ¥ãƒ¼ã€‚ ãƒ‡ãƒ¢å‹•ç”»ã§ã™ã€‚ mViewerã¯ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã®ä½œæˆã‚„å‰Šé™¤ã€ã‚³ãƒ¬ã‚¯ã‚·ãƒ§ãƒ³ã®ä½œæˆã€æ›´æ–°ã¨å‰Šé™¤ã€GridFSãƒ•ã‚¡ã‚¤ãƒ«ã®è¿½åŠ ã€è¡¨ç¤ºã€ãƒ€ã‚¦ãƒ³
hamaco 2012/07/10
mongodb
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hamaco 2012/02/18
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MongoDB
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MongoDB: Case Study for AMN
2011/11/15 ã«é–‹å‚¬ã•ã‚ŒãŸã€Œç¬¬7å›ž Mongo DB å‹‰å¼·ä¼šã€ã§ç™ºè¡¨ã—ãŸãƒ—ãƒ¬ã‚¼ãƒ³ãƒ†ãƒ¼ã‚·ãƒ§ãƒ³ã§ã™ã€‚
hamaco 2011/11/15
MongoDB
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hamaco 2011/11/01
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MongoDB

fluent
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ã€Žmongodb - Geospatial Indexingã€
ã“ã‚“ã«ã¡ã¯ã€‚Amebaã§ã‚¢ãƒ—ãƒªã‚±ãƒ¼ã‚·ãƒ§ãƒ³ã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ã‚’ã—ã¦ã„ã¾ã™ã€å®æˆ¸ã§ã™ã€‚ ä»Šå›žã¯ã€mongo dbã®æ©Ÿèƒ½ã§ã‚ã‚‹Geospatial Indexingã«ã¤ã„ã¦ã€v1.6ç³»ã€v1.8ç³»ã€v2.0ç³»ã«ã¤ã„ã¦ç‰¹å¾´çš„ãªç‚¹ã®æ¯”è¼ƒæ¤œè¨¼ã‚’ãŠã“ãªã£ã¦ã¿ãŸçµæžœã«ã¤ã„ã¦ã¾ã¨ã‚ãŸã„ã¨æ€ã„ã¾ã™ã€‚ â– åœ°ç†ç©ºé–“ã‚¤ãƒ³ãƒ‡ãƒƒã‚¯ã‚¹ã«ã¤ã„ã¦ åœ°ç†ç©ºé–“ã®ã‚¤ãƒ³ãƒ‡ãƒƒã‚¯ã‚¹ã¯ä»¥ä¸‹ã®ã‚ˆã†ãªæ©Ÿèƒ½ã«ãªã‚Šã¾ã™ã€‚ï¼ˆæ—¥æœ¬èªžãƒ‰ã‚ãƒ¥ãƒ¡ãƒ³ãƒˆã‹ã‚‰å¼•ç”¨ï¼‰ Mongo DBã§ã¯ã€äºŒæ¬¡å…ƒã®åœ°ç†ç©ºé–“ã®ã‚¤ãƒ³ãƒ‡ãƒƒã‚¯ã‚¹(geospatial index)ã‚’æŒã£ã¦ã„ã¾ã™ã€‚ã“ã‚Œã¯ä½ç½®ã‚’ãƒ™ãƒ¼ã‚¹ã«ã—ãŸã‚¯ã‚¨ãƒªãƒ¼ã®ãŸã‚ã®ã‚‚ã§ã™ã€‚ãŸã¨ãˆã°ã€"è‡ªåˆ†ã®å ´æ‰€ã‹ã‚‰è¿‘ã„Nã‚¢ã‚¤ãƒ†ãƒ ã‚’å–å¾—"ã¨ã„ã£ãŸã“ã¨ã§ã™ã€‚ã¾ãŸ"è‡ªåˆ†ã®å ´æ‰€ã‹ã‚‰è¿‘ã„Nå€‹ã®ãƒŸãƒ¥ãƒ¼ã‚¸ã‚¢ãƒ ã‚’å–å¾—"ã¨è¨€ã£ãŸè¿½åŠ ã®ãƒ•ã‚£ãƒ«ã‚¿ãƒ¼ã‚’è¿½åŠ ã™ã‚‹ã“ã¨ã‚‚åŠ¹æžœçš„ã«ã§ãã¾ã™ã€‚ ä½ç½®æƒ…å ±ã®ä¿æŒæ–¹æ³•ã«ã¤ã„ã¦ã¯ã€å…¬å¼ãƒ‰ã‚ãƒ¥ãƒ¡ãƒ³ãƒˆã«ã‚ã‚‹ã‚ˆã†ã«ã€ç·¯åº¦ã¨çµŒåº¦ã‚’é…åˆ—ãªã©ã§ä¿æŒ
hamaco 2011/10/06
database

MongoDB

geo

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äº‹ä¾‹ï¼šã¨ã‚ã‚‹å†™çœŸå…±æœ‰ã‚¢ãƒ—ãƒªã§ã®Mongo DB - Presentation Transcript Mongo DB@just_do_neet 1 â€¢ Mongo DBâ€¢ Mongo DB Topicâ€¢ HBaseâ€¢ 2 Adoption stories of â€˜Mongo DBâ€™ Mongo DB 3 â€¢ RDBMS Mongo DB â†’ â†’â€¢ Mongo DBâ€¢ GridFS 4 NAVER Photo Album http://itunes.apple.com/jp/app/id449576650 â€¢ iPhone â€¢ â€˜Pathâ€™ like â€¢ 5 NAVER Photo Album http://itunes.apple.com/jp/app/id449576650 â€¢ iPhone â€¢ â€˜Pathâ€™ like â€¢ 6 â€¢ orâ€¢â€¢ RDB KVS 7 DBâ€¢M ySQL â†’â€¢â€¢M ongo Db
hamaco 2011/10/04
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MongoDB
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Mongo DBã‚’åŠå¹´é‹ç”¨ã—ã¦ã¿ãŸ
Mongo DB 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 Mongo DB 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
hamaco 2011/08/05
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MongoDB
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hamaco 2011/07/15
MongoDB
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The document describes Mongo DB's GridFS specification for storing and retrieving files that exceed the BSON document size limit of 16MB. It explains that GridFS splits files into chunks, which are stored as individual documents, and maintains metadata about the file such as length, MD5, and filename in a separate collection. It provides examples of using the mongofiles command line tool to list, s
hamaco 2011/06/30
slideshare

MongoDB
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This document discusses using Mongo DB to analyze user data from a game platform. It includes examples of queries on collections like user_charge, daily_charge, user_trace, and daily_trace to retrieve user activity and purchase data for a given date range. It also shows an example of retrieving user registration information and calculating metrics for user retention and engagement. The document dem
hamaco 2011/06/12
slideshare

MongoDB
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