地震资料分布式存取的效率优化设计

Efficiency Optimization Design of Seismic Data Distributed Access

目前,存取海量非结构化地震数据的常用方法,存在着在物理层和应用层添加了逻辑层影响访问速度,降低访问效率的弊端。为了在不增加额外成本的基础上,改善数据的存储方法、提高地震数据的访问效率,论文研究一种基于hadoop框架下地震资料分布式存取设计的思想,采用混合索引查询方法进行统一访问。采用对数据请求按操作进行预处理,通过建立基于关键字的索引、数据库索引等技术,优化因为了缩短开发周期,节约软件运行成本而增加逻辑层带来的查询速度慢的问题,提高数据的存取效率。

At present,the conventional methods of mass unstructured seismic data have lower access speed and access efficiency caused by the addition of logic layer between physical layer and application layer.In order not to add extra cost,improve data storage method and access efficiency of seismic data,an idea of seismic data distriuted access under the Hadoop framework,and Hybrid technology is used to conduct unified access.The data request is preprocessing,and some technologies,such as primany key index technology are used to fastern the quety speed and improve the efficiency of data access.