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Amazon DynamoDB ã®ãƒ™ã‚¹ãƒˆãƒ—ラクティスã«å¾“ã†ã¨ã„ㆠ2019 å¹´ã®è¨ˆã‚’ç«‹ã¦ã‚‹ | Amazon Web Services
Amazon Web Services ブãƒã‚° Amazon DynamoDB ã®ãƒ™ã‚¹ãƒˆãƒ—ラクティスã«å¾“ã†ã¨ã„ㆠ2019 å¹´ã®è¨ˆã‚’ç«‹ã¦ã‚‹ AWS ã§ã¯ã“ã® 2019 å¹´ã€DynamoDB ã§ã®ä½œæ¥æ™‚ã«ãƒŸãƒƒã‚·ãƒ§ãƒ³ã‚¯ãƒªãƒ†ã‚£ã‚«ãƒ«ãªãƒ¯ãƒ¼ã‚¯ãƒãƒ¼ãƒ‰ã®ãƒ‘フォーマンスを最大化ã—ã¦ã€ã‚³ã‚¹ãƒˆã‚’最é©åŒ–ã™ã‚‹ãŸã‚ã«å½¹ç«‹ã¤ Amazon DynamoDB ã®ãƒ™ã‚¹ãƒˆãƒ—ラクティスã«å¾“ã†ã“ã¨ã‚’ãŠå‹§ã‚ã—ã¾ã™ã€‚ã“ã®è¨˜äº‹ã¯ã€ã“ã®ã‚ˆã†ãªæŠ±è² ã®ç¶æŒã‚’助ã‘ã‚‹ DynamoDB ã®ã‚³ãƒ³ãƒ†ãƒ³ãƒ„ã«ç„¦ç‚¹ã‚’当ã¦ã¦è¡Œãã¾ã™ã€‚ パーティションã‚ーを効率的ã«è¨è¨ˆã—ã¦ä½¿ç”¨ã™ã‚‹ DynamoDB テーブルã«ã‚ã‚‹å„アイテムを固有ã«è˜åˆ¥ã™ã‚‹ãƒ—ライマリーã‚ーã¯ã€ã‚·ãƒ³ãƒ—ルãªã‚ー (パーティションã‚ーã®ã¿) ã¾ãŸã¯è¤‡åˆã‚ー (ソートã‚ーã¨çµ„ã¿åˆã‚ã•ã‚ŒãŸãƒ‘ーティションã‚ー) ã«ã™ã‚‹ã“ã¨ãŒã§ãã¾ã™ã€‚アプリケーションã¯ã€ãƒ†ãƒ¼ãƒ–ルã¨ãã®ã‚»ã‚«ãƒ³ãƒ€ãƒªã‚¤ãƒ³ãƒ‡ãƒƒã‚¯ã‚¹ã®è«–ç†ãƒ‘ーテ
Coffee Meets Bagel ãŒã€Amazon ElastiCache for Redis を使用ã—ã¦ãƒªã‚³ãƒ¡ãƒ³ãƒ‡ãƒ¼ã‚·ãƒ§ãƒ³ãƒ¢ãƒ‡ãƒ«ã‚’強化 | Amazon Web Services
Amazon Web Services ブãƒã‚° Coffee Meets Bagel ãŒã€Amazon ElastiCache for Redis を使用ã—ã¦ãƒªã‚³ãƒ¡ãƒ³ãƒ‡ãƒ¼ã‚·ãƒ§ãƒ³ãƒ¢ãƒ‡ãƒ«ã‚’強化 Coffee Meets Bagel (CMB) ã¯ã€æ¯Žæ—¥ 150 万人以上ã®ãƒ¦ãƒ¼ã‚¶ãƒ¼ã«å‡ºä¼šã„ã®æ©Ÿä¼šã‚’æä¾›ã™ã‚‹ãƒžãƒƒãƒãƒ³ã‚°ã‚¢ãƒ—リã§ã™ã€‚有æ„義ãªé–¢ä¿‚ã‚’ã‚‚ãŸã‚‰ã™ã€æ¥½ã—ã安全ã§è³ªã®é«˜ã„出会ã„ã®çµŒé¨“ã‚’ã‚‚ãŸã‚‰ã™ã“ã¨ã«ç„¦ç‚¹ã‚’当ã¦ã¦ã„ã‚‹ãŸã‚ã€å½“社ã®ãƒ¢ãƒƒãƒˆãƒ¼ã¯ã€Œé‡ã‚ˆã‚Šã‚‚質ã€ã§ã™ã€‚ã“ã†ã—ãŸç´„æŸã‚’æžœãŸã™ãŸã‚ã«ã€ç§ãŸã¡ãŒæä¾›ã™ã‚‹ã™ã¹ã¦ã®ãƒžãƒƒãƒãƒ³ã‚°ã¯ã€ãƒ¦ãƒ¼ã‚¶ãƒ¼ãŒæ±‚ã‚ã‚‹åŽ³æ ¼ãªåŸºæº–を満ãŸã™å¿…è¦ãŒã‚ã‚Šã¾ã™ã€‚ ã¨ã“ã‚ãŒã€ç¾åœ¨ã®ãƒˆãƒ©ãƒ•ã‚£ãƒƒã‚¯ã§ã¯ã€é«˜å“質ã®ãƒžãƒƒãƒãƒ³ã‚°ã‚’作æˆã™ã‚‹ã“ã¨ã¯å›°é›£ãªå•é¡Œã¨ãªã£ã¦ã„ã¾ã™ã€‚当社㯠30 人ã®ã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ã§æ§‹æˆã•ã‚Œã¦ã„ã¾ã™ (データãƒãƒ¼ãƒ ã«ã¯ 3 人ã®ã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ã—ã‹ã„ã¾ã›ã‚“)。 ã“ã‚Œã¯ã€ã™ã¹ã¦ã®ã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ãŒå½“社
Using pipelining to speedup Redis queries
How to optimize round-trip times by batching Redis commands Redis pipelining is a technique for improving performance by issuing multiple commands at once without waiting for the response to each individual command. Pipelining is supported by most Redis clients. This document describes the problem that pipelining is designed to solve and how pipelining works in Redis. Request/Response protocols an
セット型 — redis 2.0.3 documentation
セット型¶ Redisセット型ã¯Redisæ–‡å—列型ã®é †ä¸åŒã®é›†åˆã§ã™ã€‚Redisセット型ã§ã¯ãƒ¡ãƒ³ãƒã®è¿½åŠ ã€å‰Šé™¤ã€ç¢ºèªã‚’ã™ã¹ã¦O(1)ã§è¡Œã†ã“ã¨ãŒã§ãã¾ã™ã€‚ Redisセットã¯ãƒ¡ãƒ³ãƒã®é‡è¤‡ã‚’許å¯ã—ãªã„ã¨ã„ã†ä¾¡å€¤ã®ã‚る性質をæŒã£ã¦ã„ã¾ã™ã€‚åŒã˜è¦ç´ ã‚’ä½•åº¦ã‚‚è¿½åŠ ã—ã¦ã‚‚çµæžœã¨ã—ã¦ã‚»ãƒƒãƒˆå†…ã«ã¯ãã®è¦ç´ ã¯å˜ä¸€ã®ã‚³ãƒ”ーã—ã‹æŒã¡åˆã‚ã›ã¾ã›ã‚“。事実上ã€ã“ã®ã“ã¨ã¯ãƒ¡ãƒ³ãƒã‚’è¿½åŠ ã™ã‚‹éš›ã«ã€Œãã®ãƒ¡ãƒ³ãƒãŒå˜åœ¨ã™ã‚‹ã‹ç¢ºèªã—ãŸå¾Œã«è¿½åŠ ã™ã‚‹ã€ã¨ã„ã†æ“作を必è¦ã¨ã—ãªã„ã€ã¨ã„ã†ã“ã¨ã‚’æ„味ã—ã¾ã™ã€‚ セットをæ“作ã™ã‚‹ã‚³ãƒžãƒ³ãƒ‰ã¯ã‚¢ãƒ—リケーションã«ãƒ¡ãƒ³ãƒãŒå˜åœ¨ã—ãŸã“ã¨ã‚’è¦å‘Šã™ã‚‹ã®ã«ä¾¿åˆ©ãªå€¤ã‚’è¿”ã™ã‚ˆã†ã«ãªã£ã¦ã„ã¾ã™ã€‚ãŸã¨ãˆã° SADD コマンドã¯ã‚‚ã—è¦ç´ ãŒã¾ã セットã®ãƒ¡ãƒ³ãƒã§ãªã‹ã£ãŸã‚‰ 1 ã‚’è¿”ã—ã€ãã†ã§ãªã‹ã£ãŸã‚‰ 0 ã‚’è¿”ã™ã‚ˆã†ã«ãªã£ã¦ã„ã¾ã™ã€‚ セットã®è¦ç´ æ•°ã®æœ€å¤§å€¤ã¯ 2^32-1（4294967295, 1セットã‚ãŸã‚Š4億以上ã®ãƒ¡ãƒ³
ãƒãƒƒã‚·ãƒ¥åž‹ — redis 2.0.3 documentation
ãƒãƒƒã‚·ãƒ¥åž‹Â¶ Redisãƒãƒƒã‚·ãƒ¥åž‹ã¯é †ç•ªãŒãªã„Redisæ–‡å—列型ã®ãƒ•ã‚£ãƒ¼ãƒ«ãƒ‰ã¨å€¤ã®ãƒžãƒƒãƒ—ã§ã™ã€‚フィールドã®è¿½åŠ ã€å‰Šé™¤ã€ç¢ºèªã‚’ãªã‚‰ã—ã¦O(1)ã§è¡Œã†ã“ã¨ãŒã§ãã¾ã™ã€‚ã™ã¹ã¦ã®ã‚ーã€å€¤ã€ã¾ãŸã¯ãã®ä¸¡æ–¹ã‚’一覧ã™ã‚‹ã®ã¯O(N)ã§è¡Œã†ã“ã¨ãŒã§ãã¾ã™ã€‚（Nã¯ãƒãƒƒã‚·ãƒ¥å†…ã®ãƒ•ã‚£ãƒ¼ãƒ«ãƒ‰ã®æ•°ã§ã™ï¼‰ Redisãƒãƒƒã‚·ãƒ¥åž‹ã¯é¢ç™½ã„作りã«ãªã£ã¦ã„ã¾ã™ã€‚ã©ã®ã‚ˆã†ãªç‚¹ãŒé¢ç™½ã„ã‹ã¨ã„ã†ã¨ã€ã‚ªãƒ–ジェクトを表ç¾ã™ã‚‹ã®ã«ã¨ã¦ã‚‚é©ã—ãŸå½¢ã«ãªã£ã¦ã„ã‚‹ã¨ã“ã‚ã§ã™ã€‚例ãˆã°ã€ã‚¦ã‚§ãƒ–アプリケーションユーザã¯ãŸã¨ãˆã°ãƒ¦ãƒ¼ã‚¶åã€æš—å·åŒ–ã•ã‚ŒãŸãƒ‘スワードã€æœ€çµ‚ãƒã‚°ã‚¤ãƒ³æ™‚刻ãªã©ã®ãƒ•ã‚£ãƒ¼ãƒ«ãƒ‰ã‚’æŒã£ãŸRedisãƒãƒƒã‚·ãƒ¥ã§è¡¨ç¾ã•ã‚Œã¾ã™ã€‚ ä»–ã®ã¨ã¦ã‚‚é‡è¦ãªæ©Ÿèƒ½ã¨ã—ã¦ã€å°‘ãªã„フィールド数ã§æ§‹ç¯‰ã•ã‚ŒãŸRedisãƒãƒƒã‚·ãƒ¥ã¯éžå¸¸ã«ãƒ¡ãƒ¢ãƒªã‚’使ã†é‡ãŒå°‘ãªãã€ã™ã¹ã¦ã®ãƒ•ã‚£ãƒ¼ãƒ«ãƒ‰ã‚’Redisã‚ーã®æœ€ä¸Šä½ãƒ¬ãƒ™ãƒ«ã«åˆ·ã‚‹ã®ã¨æ¯”ã¹ã‚‹ã¨ä¸€ç›®çžç„¶ã§ã™ã€‚（ã“ã®å€¤ã¯è¨å®šå¯èƒ½ã§ã™ã€‚詳細ã¯re
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