Google Cloud Datastore Inside-Out
Explaining an index structure of Google Cloud Datastore as well as underlying components such as Google File System (Colossus), Bigtable and Megastore. Session video (Japanese) https://youtu.be/H-tZUZGBo60?t=8524 2016/11/08 ver1.0 Published 2016/11/11 ver2.0 Add notes on Spanner 2017/02/09 ver2.1 Fix on Spanner's consistency description.Read less
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æ±èŠã¯ã€ã“ã‚Œã¾ã§GridStoreã¨ã—ã¦ã‚¨ãƒãƒ«ã‚®ãƒ¼ç®¡ç†ã‚·ã‚¹ãƒ†ãƒ ãªã©ã®ç¤¾ä¼šã‚¤ãƒ³ãƒ•ãƒ©ã§åˆ©ç”¨ã•ã‚Œã¦ããŸå•†ç”¨ã®NoSQLデータベースをã€ã€ŒGridDBã€ã¨ã—ã¦ã‚ªãƒ¼ãƒ—ンソース化ã—ãŸã“ã¨ã‚’発表ã—ã¾ã—ãŸã€‚ GridDBã¯ã‚ーãƒãƒªãƒ¥ãƒ¼åž‹ã‚’æ‹¡å¼µã—ãŸã‚ーコンテナ型ã®ãƒ‡ãƒ¼ã‚¿ãƒ¢ãƒ‡ãƒ«ã§ã€æ™‚系列データや2次元ã€3次元ã®ç©ºé–“データもサãƒãƒ¼ãƒˆã™ã‚‹NoSQL型データベース。 データをストレージã§ã¯ãªãサーãƒãƒ¼ã®ãƒ¡ã‚¤ãƒ³ãƒ¡ãƒ¢ãƒªã«é…ç½®ã—ã€ã‚¤ãƒ³ãƒ¡ãƒ¢ãƒªã§å‡¦ç†ã™ã‚‹ã“ã¨ã§ã€ãƒšã‚¿ãƒã‚¤ãƒˆã‚¯ãƒ©ã‚¹ã®ãƒ“ッグデータã§ã‚‚高速ã«å‡¦ç†ãŒå¯èƒ½ã€‚ ãƒŽãƒ¼ãƒ‰ã‚’è¿½åŠ ã™ã‚‹ã ã‘ã§å®¹é‡ã‚„性能を拡張ã€ç¸®é€€ã§ãるスケールアウト機能ã€ãƒžã‚¹ã‚¿ã‚¹ãƒ¬ãƒ¼ãƒ–åž‹ã¨ãƒ”アツーピア型ã®ç‰¹é•·ã‚’åˆã‚ã›æŒã¤ãƒã‚¤ãƒ–リッド型クラスタ管ç†æ–¹å¼ã®è‡ªå¾‹åˆ¶å¾¡ã‚¯ãƒ©ã‚¹ã‚¿ç®¡ç†ã«ã‚ˆã‚Šã€SPOF（Single Point of Failure：å˜ä¸€éšœå®³ç‚¹ï¼‰ã‚’排除ã—ãŸé«˜ã„å¯ç”¨æ€§ãªã©ãŒç‰¹é•·ã§ã™ã€‚ æ±èŠã¯ã‚ªãƒ¼ãƒ—ンソース化ã®ç‹™ã„
NoSQLデータモデリング技法
NoSQLデータモデリング技法.markdown #NoSQLデータモデリング技法 原文：NoSQL Data Modeling Techniques « Highly Scalable Blog I translated this article for study. contact matope[dot]ono[gmail] if any problem. NoSQLデータベースã¯ã‚¹ã‚±ãƒ¼ãƒ©ãƒ“リティã€ãƒ‘フォーマンスã€ä¸€è²«æ€§ã¨ã„ã£ãŸæ§˜ã€…ãªéžæ©Ÿèƒ½è¦ä»¶ã‹ã‚‰æ¯”較ã•ã‚Œã‚‹ã€‚NoSQLã®ã“ã®å´é¢ã¯å®Ÿè·µã¨ç†è«–ã®ä¸¡é¢ã‹ã‚‰ã‚ˆãç ”ç©¶ã•ã‚Œã¦ã„る。ã‚る種ã®éžæ©Ÿèƒ½ç‰¹æ€§ã¯NoSQLを利用ã™ã‚‹ä¸»ãªå‹•æ©Ÿã§ã‚ã‚Šã€NoSQLシステムã«ã‚ˆãé©ç”¨ã•ã‚Œã‚‹CAP定ç†ãŒãã†ã§ã‚るよã†ã«åˆ†æ•£ã‚·ã‚¹ãƒ†ãƒ ã®åŸºæœ¬çš„原則ã ã‹ã‚‰ã 。一方ã§ã€NoSQLデータモデリングã¯ã‚ã¾ã‚Šç ”究ã•ã‚Œã¦ãŠã‚‰ãšã€ãƒªãƒ¬ãƒ¼ã‚·ãƒ§ãƒŠãƒ«ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã«è¦‹ã‚‰ã‚Œã‚‹ã‚ˆã†ãªã‚·ã‚¹ãƒ†ãƒžãƒ†ã‚£ãƒƒã‚¯
Try Redis
Welcome to Try Redis, a demonstration of the Redis database! Please type TUTORIAL to begin a brief tutorial, HELP to see a list of supported commands, or any valid Redis command to play with the database. This site is open source software, you can find the current version here. It's now maintained by the Redis community and hosted by Redis Ltd.
Redis - The Real-time Data Platform
Build better experiences that grow with you—with accessible, enterprise-grade caching built by the devs who brought you open source Redis. res11 = r.json().set("newbike", "$", ["Deimos", {"crashes": 0}, None]) print(res11) # >>> True res12 = r.json().get("newbike", "$") print(res12) # >>> ['["Deimos", { "crashes": 0 }, null]'] res13 = r.json().get("newbike", "$[1].crashes") print(res13) # >>> ['0'
LevelDB: A Fast Persistent Key-Value Store
LevelDB is a fast key-value storage engine written at Google that provides an ordered mapping from string keys to string values. We are pleased to announce that we are open sourcing LevelDB under a BSD-style license. LevelDB is a C++ library that can be used in many contexts. For example, LevelDB may be used by a web browser to store a cache of recently accessed web pages, or by an operating syste
Cybozu Open Source: Released ordered KVS Mio 0.0.1alpha
We have released Mio - a distributed Skip Graph based orderd KVS 0.0.1alpha.(mio-0.0.1-alpha.tar.gz) What is Mio? In short, Mio is memcached + "range search". Mio suports range search queries like "get 10 datum which key are between key1 and key2". N.B. At present, it is in alpha quality. Building and Installing Install a recent version of Erlang. make make install with Environment variables for c
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2010å¹´05月25æ—¥ Riak 㨠Cassandra 㨠HBaseã€ã‚らã¾ãƒ¼! Mozilla Blog Riak and Cassandra and HBase, Oh My!ã®å‹æ‰‹è¨³ã€‚å„分散 KVS ã®ç‰¹å¾´ãŒåˆ†æžã•ã‚Œã¦ã„ã¦èˆˆå‘³æ·±ã„……ã¨æ€ã£ã¦è¨³ã—ã¦ã¿ãŸã€‚ã“ã®ç„¡æ§˜ãªã‚¿ã‚¤ãƒˆãƒ«ã¯ Google 翻訳ã«ã‚ˆã‚‹ã€‚ Riak 㨠Cassandra 㨠HBaseã€ã‚らã¾ãƒ¼! 我々ã¯ã€SoCorro Crash プãƒã‚¸ã‚§ã‚¯ãƒˆã«ãŠã„㦠HBase ã¨ã®çµ±åˆã‚’進ã‚ã¦ã„ã‚‹ãŒã€ãã®è©±ã¯ã¡ã‚‡ã£ã¨ç½®ã„ã¦ãŠã„ã¦ã€ä»Šå›žã¯ãƒ¡ãƒˆãƒªãƒƒã‚¯ãƒ»ãƒãƒ¼ãƒ ãŒå·»ãè¾¼ã¾ã‚Œã¦ã„る別ã®ãƒ—ãƒã‚¸ã‚§ã‚¯ãƒˆã«ã¤ã„ã¦è©±ã‚’ã—よã†ã€‚ Mozilla Labs Test Pilotã¯ã€å®Ÿä¸–界㮠Firefox ユーザをã‹ã‚‰é›†ã‚ãŸãƒ‡ãƒ¼ã‚¿ã‚’分æžã—ã¦ã€ãƒ¦ãƒ¼ã‚¶ãƒ»ã‚¨ã‚¯ã‚¹ãƒšãƒªã‚¨ãƒ³ã‚¹ã‚’å‘上ã•ã›ã‚‹ãŸã‚ã®å®Ÿé¨“ã‚’ã—ãŸã‚Šã€å®šé‡çš„データを集ã‚ãŸã‚Šã™ã‚‹ãŸã‚ã®ãƒ—ãƒã‚¸ã‚§ã‚¯ãƒˆã 。 ç§
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