CAJ | 학술논문

在基于Web的数据库应用中,读取和传输含有大对象(LOB)类型数据的查询结果集时若采用传统的方法易导致服务器端内存不足和网络拥塞.提出一种数据结果集块状读取(SBBR)算法,可以基于动态设定的内存块大小来读取结果集.该算法已应用到科学数据网格的数据访问中间件DAS系统中.测试结果表明,SBBR算法能较好地处理包含LOB数据的结果集.
재기우Web적수거고응용중,독취화전수함유대대상(LOB)류형수거적사순결과집시약채용전통적방법역도치복무기단내존불족화망락옹새.제출일충수거결과집괴상독취(SBBR)산법,가이기우동태설정적내존괴대소래독취결과집.해산법이응용도과학수거망격적수거방문중간건DAS계통중.측시결과표명,SBBR산법능교호지처리포함LOB수거적결과집.
In the application of database on Web, when Large OBject(LOB) type columns exist in the result set of a database querying, it can easily result in some problems like running out of memory of server and network traffic if using the general methods to read and transfer the result set in the network. A novel algorithm--SBBR is provided to avoid those problems, it can handle the result set in chunks and the block size can be dynamically set. SBBR is implemented in the grid middleware-DAS of science data grid. Test results show it can handle the result set which includes LOB well.