CAJ | 학술논문

在Matlab开发环境下,采用ODBC、JDBC和ADO三种数据库访问方式,实现了与Oracle数据库的交互功能。给出了访问过程中典型问题的处理方法,解决了MATLAB Database Toolbox无法对LOB型大对象数据进行访问与操作的难题。最后,比较分析了三种访问方式的特点与使用范围,得出结论：ODBC使用简单但访问速度慢且可移植性差；JDBC继承于ODBC,使用与Matlab一致的Java语言风格,支持跨平台作业,可移植性好,且与Matlab的兼容性最好；而ADO比ODBC、JDBC访问速度快,扩展性好,能处理LOB型大对象数据,但Matlab Database Toolbox对ADO不提供函数支持。
재Matlab개발배경하,채용ODBC、JDBC화ADO삼충수거고방문방식,실현료여Oracle수거고적교호공능。급출료방문과정중전형문제적처리방법,해결료MATLAB Database Toolbox무법대LOB형대대상수거진행방문여조작적난제。최후,비교분석료삼충방문방식적특점여사용범위,득출결론：ODBC사용간단단방문속도만차가이식성차；JDBC계승우ODBC,사용여Matlab일치적Java어언풍격,지지과평태작업,가이식성호,차여Matlab적겸용성최호；이ADO비ODBC、JDBC방문속도쾌,확전성호,능처리LOB형대대상수거,단Matlab Database Toolbox대ADO불제공함수지지。
Three database access technology including ODBC, JDBC and ADO are applied to communicate with Oracle database in Matlab development environment. Solutions of typical connecting problems were presented and an approach to access Large Object Binary ( LOB) data was proposed. In the end, the characteristics and scope of the three database access methods in Matlab were compared and analyzed to conclude that ODBC is simple to use but has low access speed; JDBC inherits from ODBC, takes full advantage of the Java language style as Matlab with portability, safety and compatibility; ADO has higher access speed, better scalability performance than ODBC and JDBC, and can process data of LOB type, but Matlab Database Toolbox provides no functions to support such application.