BigTable
出典: フリー百科事典『ウィキペディア（Wikipedia）』 (2023/03/16 04:18 UTC 版)
Bigtable（ビッグテーブル）とは、Googleの大規模なサーバ上の大量のデータを管理するために設計された、データ圧縮機能を持つ高性能なNoSQL型のプロプライエタリのデータストレージシステムである。Google File System、分散ロックマネージャの1種であるChubby Lock Service、SSTable（LevelDBに似たログ構造化ストレージ）、その他のいくつかのGoogleの技術を活用して構築されている。2015年5月6日、パブリックバージョンのBigtableが、Google Cloud Platformのサービスの1つとして公開された。BigtableはGoogle Cloud Datastoreのバックエンドとしても利用されている[1][2]。
- ^ “Announcing Google Cloud Bigtable: The same database that powers Google Search, Gmail and Analytics is now available on Google Cloud Platform”. Google Blog (2015年5月6日). 2016年9月21日閲覧。
- ^ “Get started with Google Cloud Datastore - a fast, powerful, NoSQL database”. 2019年6月10日閲覧。
- ^ "First an overview. BigTable has been in development since early 2004 and has been in active use for about eight months (about February 2005)." Google's BigTable
- ^ “Bigtable: A Distributed Storage System for Structured Data”. 2018年2月4日閲覧。
- ^ "Bigtable can be used with MapReduce, a framework for running large-scale parallel computations developed at Google. We have written a set of wrappers that allow a Bigtable to be used both as an input source and as an output target for MapReduce job". pg 3 of "Bigtable: A Distributed Storage System for Structured Data", 2006
- ^ "Reader is using Google's BigTable in order to create a haven for what is likely to be a massive trove of items." Official Google Reader blog.
- ^ a b "There are currently around 100 cells for services such as Print, Search History, Maps, and Orkut." Google's BigTable
- ^ "Their new solution for thumbnails is to use Google’s BigTable, which provides high performance for a large number of rows, fault tolerance, caching, etc. This is a nice (and rare?) example of actual synergy in an acquisition." YouTube Scalability Talk
- ^ "We have described Bigtable, a distributed system for storing structured data at Google....Our users like the performance and high availability provided by the Bigtable implementation, and that they can scale the capacity of their clusters by simply adding more machines to the system as their resource demands change over time...Finally, we have found that there are significant advantages to building our own storage solution at Google. We have gotten a substantial amount of flexibility from designing our own data model for Bigtable." from the Conclusion of "Bigtable: A Distributed Storage System for Structured Data", 2006
- ^ Shute, Jeffrey ‘Jeff’; Oancea, Mircea; Ellner, Stephan; Handy, Benjamin ‘Ben’; Rollins, Eric; Samwel, Bart; Vingralek, Radek; Whipkey, Chad et al. (2012), “Summary; F1 — the Fault-Tolerant Distributed RDBMS Supporting Google's Ad Business” (presentation), Research, Sigmod: Google, p. 19, "We've moved a large and critical application suite from MySQL to F1".
- ^ *"Database War Stories #7: Google File System and BigTable"
[続きの解説]
「BigTable」の続きの解説一覧
- 1 BigTableとは
- 2 BigTableの概要
- 3 歴史
- 4 関連事項
- BigTableのページへのリンク
