基于HBase的海量文件的检索方案研究

Research on the Retrieval Scheme of Massive Data Based on HBase

在互联网(尤其是移动互联网)、物联网、云计算、大数据等高速发展的大背景下,数据呈现爆炸式地增长。这类数据不规则的特性决定了其无法再按照传统基于属性列的方式进行检索,而是需要具备更加庞大的水平扩展性。使用No SQL数据库HBase和搜索引擎Elastic Search相结合,通过对检索方案进行设计,对关键字匹配、语意检索、逻辑关系等检索策略进行测试和分析,实现能够快速、准确的适用于海量数据的检索方案。

With the developing of Internet(especially mobile Internet), Internet of things, cloud computing and big data,the information on the internet showing the situation of the 'explosive' growth. The irregular characteristics of data can not be searched through the traditional way of attribute based retrieval. This need to have a more extensive level of scalability. By combine No SQL database HBase and search engine Elastic Search, can quickly and accurately the massive data to achieve the retrieval subsystem.