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Bigtable: A Distributed Storage System for Structured Data

机译:Bigtable:用于结构化数据的分布式存储系统

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摘要

Bigtable is a distributed storage system for managing structured data that is designed to scale to a very large size: petabytes of data across thousands of commodity servers. Many projects at Google store data in Bigtable, including web indexing, Google Earth, and Google Finance. These applications place very different demands on Bigtable, both in terms of data size (from URLs to web pages to satellite imagery) and latency requirements (from backend bulk processing to realtime data serving). Despite these varied demands, Bigtable has successfully provided a flexible, high-performance solution for all of these Google products. In this article, we describe the simple data model provided by Bigtable, which gives clients dynamic control over data layout and format, and we describe the design and implementation of Bigtable.
机译:Bigtable是用于管理结构化数据的分布式存储系统,该系统旨在扩展到非常大的规模:数千个商用服务器中的PB级数据。 Google的许多项目都将数据存储在Bigtable中,包括网络索引,Google Earth和Google Finance。这些应用程序在数据大小(从URL到网页到卫星图像)和延迟要求(从后端批量处理到实时数据服务)方面对Bigtable提出了截然不同的要求。尽管需求千差万别,Bigtable已成功为所有这些Google产品提供了一种灵活的高性能解决方案。在本文中,我们描述了Bigtable提供的简单数据模型,该模型为客户提供了对数据布局和格式的动态控制,并描述了Bigtable的设计和实现。

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