{"title":"硬件综合技术在数据库查询优化中的应用","authors":"V. Komaragiri, M. Thornton, R. Drechsler","doi":"10.1109/PACRIM.2001.953732","DOIUrl":null,"url":null,"abstract":"The size of a typical modern database is on the order of hundreds of Gigabytes (GB) and the need for developing systems for processing such huge amounts of data has emerged. A highly efficient information retrieval method is required to make the process quicker and easier. This paper focuses on this aspect and presents a method to optimize an SQL query for efficient information retrieval. It is shown that an SQL query can be optimized using AND/OR graphs. Experimental results, which show the efficiency of this method, are provided.","PeriodicalId":261724,"journal":{"name":"2001 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (IEEE Cat. No.01CH37233)","volume":"124 11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Application of a hardware synthesis technique for database query optimization\",\"authors\":\"V. Komaragiri, M. Thornton, R. Drechsler\",\"doi\":\"10.1109/PACRIM.2001.953732\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The size of a typical modern database is on the order of hundreds of Gigabytes (GB) and the need for developing systems for processing such huge amounts of data has emerged. A highly efficient information retrieval method is required to make the process quicker and easier. This paper focuses on this aspect and presents a method to optimize an SQL query for efficient information retrieval. It is shown that an SQL query can be optimized using AND/OR graphs. Experimental results, which show the efficiency of this method, are provided.\",\"PeriodicalId\":261724,\"journal\":{\"name\":\"2001 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (IEEE Cat. No.01CH37233)\",\"volume\":\"124 11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-08-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2001 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (IEEE Cat. No.01CH37233)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PACRIM.2001.953732\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2001 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (IEEE Cat. No.01CH37233)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PACRIM.2001.953732","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of a hardware synthesis technique for database query optimization
The size of a typical modern database is on the order of hundreds of Gigabytes (GB) and the need for developing systems for processing such huge amounts of data has emerged. A highly efficient information retrieval method is required to make the process quicker and easier. This paper focuses on this aspect and presents a method to optimize an SQL query for efficient information retrieval. It is shown that an SQL query can be optimized using AND/OR graphs. Experimental results, which show the efficiency of this method, are provided.