【摘要】 重离子加速器波形数据具有数据量大、重复性较强的特点。在波形数据的存储研究中,传统的关系型数据库以BLOB格式存储波形数据,当数据频繁存储和检索时,其效率低下难以满足用户需求。为解决传统关系型数据库在对大量波形数据存储和访问的效率瓶颈问题,建立了NOSQL非关系型数据库MongoDB,提出一种基于MongoDB数据库的数据存储系统方案。同时,对关系型数据库Oracle和非关系型数据库MongoDB的操作耗时做了对比,MongoDB显示出了更快的处理速度。在后续工作中,将考虑存储加速器物理实验数据,并考虑保证MongoDB的权限安全性。更多还原

【Abstract】 The waveform data of heavy ion accelerator has the characteristics of large data volume and strong repeatability. In the storage study of waveform data,traditional relational databases store waveform data in BLOB format. When data is frequently stored and retrieved,its inefficiency can not satisfy users’ demand. In order to solve the traditional relational database on a large number of waveform data storage and access efficiency bottleneck problem,this paper set up MongoDB which is a kind of NOSQL database,and put forward a data storage system solution based on MongoDB. At the same time,in the paper,the operation time of the relational database Oracle and NOSQL database MongoDB was compared and MongoDB showed faster processing speed. In the follow-up work,the storage accelerator physics experiment data will be considered,and the security of the permission of MongoDB will be considered.更多还原