摘要
随着分析项目和方法的增多,油田分析化验数据库所管理的数据类别日益增多,面临着数据模型单一、系统管理不便、查询效率低等问题,研究人员通过不断的尝试,大胆跳出关系型数据库的思维定式,使用NoSQL数据库技术,特别是引入MongoDB,并建立了适合于MongoDB的数据模型后,建立了一套存储高效、查询快捷、统计方便的油田分析化验数据管理体系,为NoSQL技术在油田信息化建设中深化应用奠定了基础。
With the increase of analysis items and methods,oilfield analysis test database manages increasing data categories, faced with problems such as single data model, inconvenient system management and low query efficiency,etc.,the researchers boldly think out of the box of relational database through continuous attempts,after using NoSQL database technology,especially introducing Mongo DB,and setting up data model suitable for Mongo DB,they set up an oilfield analysis test data management system with efficient storage,speedy query and convenient statistics,this lays a foundation for the deepening application of NoSQL technology in oilfield information construction.
出处
《信息技术》
2016年第10期124-127,共4页
Information Technology
