天玑大数据引擎及其应用  

Golaxy Big Data Engine and Its Applications

作　　者：查礼[1] 程学旗[1] 

机构地区：[1]中国科学院计算技术研究所网络数据科学与工程重点实验室,北京100190

出　　处：《集成技术》2014年第4期18-30,共13页Journal of Integration Technology

基　　金：国家高技术研究发展计划(863计划)(2013AA01A213)

摘　　要：大数据计算面对的是传统IT技术无法处理的数据量超大规模、服务请求高吞吐量和数据类型异质多样的挑战。得益于国内外各大互联网公司的实际应用和开源代码贡献,Apache Hadoop软件已成为PB量级大数据处理的成熟技术和事实标准,并且围绕不同类型大数据处理需求的软件生态环境已经建立起来。文章介绍了大数据计算系统中存储、索引和压缩解压缩的硬件加速三项研究工作,即RCFile、CCIndex和SwiftFS,有效解决了大数据计算系统的存储空间问题和查询性能等问题。这些研究成果已形成关键技术并集成在天玑大数据引擎软件栈中,直接支持了淘宝和腾讯公司的多个生产性应用。Volume, variety and velocity are the three challenges that the big data computing must be faced with, which cannot be dealt with by traditional IT technologies. Beneifting from numerous domestic and overseas Internet companies’ practical applications and continuous code contributions, the Apache Hadoop has become a mature software stack and the de facto standard of the PetaByte scale data processing. Furthermore, around different types of data processing requirements, different software ecosystems have been established. In the big data system ifeld, three research works of data placement, index construction and compression and decompression hardware acceleration, i.e. RCFile, CCIndex and SwiftFS respectively, effectively solving the storage space and query performance issues, were introduced in this paper. The above research achievements have been already integrated into the Golaxy big data engine software stack in the form of key technologies, and directly supported multiple practical applications of Taobao Inc. and Tencent Inc.

关 键 词：大数据引擎 数据存储 行列混合 聚簇索引 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论] TP333[自动化与计算机技术—计算机科学与技术]