… each with hundreds of thousands of records, for we use sphinx based on attributes, but memory consumption is exaggerated, so we…
Comment: Sphinx search performance optimization: multi-threaded search
Hi Robert, – you don’t actually need to merge sphinx indexes – it does that on the fly. If you are …
Comment: How fast can you sort data with MySQL ?
…‰ MySQL 找到所有记录之åŽï¼Œå†æŠŠä¸´æ—¶æ–‡ä»¶ä¸çš„记录åšä¸€æ¬¡æŽ’åºã€‚è¿™å†æ¬¡æŽ’åºå°±ä…¸´æ—¶æ–‡ä»¶æ¥å˜å†æ¬¡æŽ’åºçš„结果,所以通常会看到 Sort_merge_passes å¢žåŠ çš„æ•°å€¼æ˜¯å»ºä¸´æ—¶æ–‡ä»¶æ•°çš„ä¸¤å€ã€‚å› ä¸ºç”¨åˆ°äº†ä¸´æ—¶æ–‡ä»¶ï¼Œæ‰€ä»¥é€Ÿåº¦å¯èƒ…
Comment: InnoDB vs MyISAM vs Falcon benchmarks - part 1
…¨åœ¨æ¸¬ READ_PK_RANGE å’Œ READ_KEY_POINT 時候, MyIASM 爛掉了(ä¸éŽä¸»è§’其實是 Falcon å› ç‚ºå®ƒè¢«æ‰“è¶´äº†)ã€‚åŽŸå› æ˜¯ï…
Comment: How fast can you sort data with MySQL ?
…‰ MySQL 找到所有记录之åŽï¼Œå†æŠŠä¸´æ—¶æ–‡ä»¶ä¸çš„记录åšä¸€æ¬¡æŽ’åºã€‚è¿™å†æ¬¡æŽ’åºå°±ä…¸´æ—¶æ–‡ä»¶æ¥å˜å†æ¬¡æŽ’åºçš„结果,所以通常会看到 Sort_merge_passes å¢žåŠ çš„æ•°å€¼æ˜¯å»ºä¸´æ—¶æ–‡ä»¶æ•°çš„ä¸¤å€ã€‚å› ä¸ºç”¨åˆ°äº†ä¸´æ—¶æ–‡ä»¶ï¼Œæ‰€ä»¥é€Ÿåº¦å¯èƒ…
Comment: Derived Tables and Views Performance
…½“åŠå¨±ä¹ã€åœ¨çº¿ç”¨æˆ·ä»˜è´¹å¢žå€¼/æ— çº¿å¢žå€¼æœåŠ¡å’Œç”µåæ”¿åŠ¡è§£å†³æ–¹æ¡ˆç‰åœ¨å†…的一系列æœåŠ¡ã€‚ 专业ç å®é—¨æˆ·â€”—ä¸å›½ç å®ç½‘站预计2008年在全çƒèŒƒå›´å†…注册用户è…
Comment: Kickfire Kickfire Kickfire
…¶æž„是开放的,其他的公å¸å¯ä»¥åœ¨MySQL上åšå¾ˆå¤šå¢žå€¼çš„应用,比如å˜å‚¨å¼•擎方é¢çš„InnoDB;专注于数æ®ç´¢å…‰‡æŠ€æœ¯å’ŒMySQL相结åˆï¼Œä½¿å¾—æ•°æ®èƒ½ç»™è·‘得更快,也能进行更快速的索引ç‰ã…
Comment: Thoughts on MySQL Replication
[...] 2008-04-29 作者:hywl51 å‘表于:2008-04-29 14:02:42 æœ€åŽæ›´æ–°äºŽ:2008-04-29 14:02:42 版æƒå£°æ˜Ž:å¯ä»¥ä»»æ„è½¬è½½ï¼Œä½†è¯·åŠ¡å¿…ä»¥è¶…é“¾æŽ¥å½¢å¼æ ‡æ˜Žæ–‡ç« 原始出处和作者信æ¯ã€‚http://www.sitearchitect.cn/?p=691 Thoughts on MySQL Replication [...]
Comment: Updated msl (microslow) patch, installation walk-through!
…-21 作者:hywl51 å‘表于:2008-04-21 09:54:24 æœ€åŽæ›´æ–°äºŽ:2008-04-21 09:54:24 版æƒå£°æ˜Ž:å¯ä»¥ä»»æ„è½¬è½½ï¼Œä½†è¯·åŠ¡å¿…ä»¥è¶…é“¾æŽ¥å½¢å¼æ ‡æ˜Žæ–‡ç« 原始出处和作者信æ…
Comment: MySQL Performance Blog now uses Sphinx for Site Search
Paolo, Please check presentation page. It has full text search benchmarks for Sphinx/Lucene/MySQL FT. Though all of them are somethat improved and we need to redo them the general idea stays the same.

