钛冶金数据库条目性能优化设计研究
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摘要
钛冶金数据库是基于传统数据库软件开发的,其中最重要的一部分就是各种钛冶金数据的数学计算模型。钛化合物的热力学计算数据存储形式复杂、计算过程繁琐,查询和分析计算速度都受到数据库性能的影响。为此把数据库索引建立在基础数据库上,成为索引数据库,使数据索引单独存放在该数据库中。索引数据库可以按照经济性能的比较,规划成标准大小的索引数据库,新增数据根据自身数据特点形成新的索引加入到索引数据库中,这样就利用已有数据库的处理能力对条目性能进行了优化,大大提高了钛冶金数据库的数据检索效率。
Titanium Metallurgy database is developed on the base of traditional database software. The most important part of these data is the math calculation model of Titanium Metallurgy. Because the storage format of the molecular formula and calculation of appearance state on the titanium compound is complicated,the calculation speed of the query and analyzing is determined by capability of the database. So we take data entry of the database as a base of the whole database. The index of the database is stored alone in the index database. The work of the index production can design index database in standard size according to the best efficiency of the computer. The new index of these index databases will be built and become a new layer upon the index databases. The computer can build new index during clearance of the work. So we can use processing capability which we have already to optimize the capability of the data entry. This way can advance the efficiency greatly in query of the titanium metallurgy database.
Titanium Metallurgy database is developed on the base of traditional database software. The most important part of these data is the math calculation model of Titanium Metallurgy. Because the storage format of the molecular formula and calculation of appearance state on the titanium compound is complicated,the calculation speed of the query and analyzing is determined by capability of the database. So we take data entry of the database as a base of the whole database. The index of the database is stored alone in the index database. The work of the index production can design index database in standard size according to the best efficiency of the computer. The new index of these index databases will be built and become a new layer upon the index databases. The computer can build new index during clearance of the work. So we can use processing capability which we have already to optimize the capability of the data entry. This way can advance the efficiency greatly in query of the titanium metallurgy database.
引文
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[4]KITTLER J,ILLINGWORTH J.Minimum error thresholding[J].Pattern Recognition,1986,19(1):41-47.
[5]DITH M.Designing distributed applications MSDN library for visual studio.NET[M].USA:Microsoft Corporation,2001.
[6]CORONEL C,MORRIS S,ROB P,et al.Database dystems:design,implementation,and management[M].Course Technology,2014,2(4):16-28.
[7]JOHANNESSON P,PERJONS E.Design principles for process modeling in enterprise application integration[J].Information System,2001,26(3):165-184.
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[10]AOYAMA M.New age of software development:how component-based software engineering changes the way of software development?[C]//International Workshop on CBSE,IC SE,1998,7:124-128.