Hbase - non SQL Database, Performances Evaluation
Hbase - non SQL Database, Performances Evaluation
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DOI：
10.4156/ijact.vol2.issue5.4
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发表时间：
2010-12
期刊：
影响因子：
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通讯作者：
D. Carstoiu;Elena Lepadatu;M. Gaspar
中科院分区：
文献类型：
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作者：
D. Carstoiu;Elena Lepadatu;M. Gaspar
HBase是谷歌开发的BigTable分布式存储系统的开源版本，用于管理大容量的结构化数据。HBase模拟了BigTable提供的大部分功能。像大多数非SQL数据库系统一样，HBase是用Java编写的。当前工作的目的是评估HBase实现与SQL数据库的性能，当然，也与BigTable提供的性能进行比较。测试的目的是评估随机写入和随机读取行、顺序写入和顺序读取的性能，以及增加列族数量和使用MapReduce函数对它们的影响。
HBase is the open source version of BigTable distributed storage system developed by Google for the management of large volume of structured data. HBase emulates most of the functionalities provided by BigTable. Like most non SQL database systems, HBase is written in Java. The current work’s purpose is to evaluate the performances of the HBase implementation in comparison with SQL database, and, of course, with the performances offered by BigTable. The tests aim at evaluating the performances regarding the random writing and random reading of rows, sequential writing and sequential reading, how are they affected by increasing the number of column families and using MapReduce functions.