{"title":"谓词树:一种优化关系查询操作的方法","authors":"G. Gardarin, P. Valduriez, Y. Viémont","doi":"10.1109/ICDE.1984.7271304","DOIUrl":null,"url":null,"abstract":"With the advent of relational database systems, multi-key searching problems have became the focus of a great deal of research. In this paper, we present a new data structure called predicate trees for clustering tuples of a relation in a way that allows the system to accelerate a large number of multi-dimensional queries. The directories used for the implementation of predicate trees in SABRE are organized as relations which are searched efficiently by filters. One of the most significant advantages of predicate trees is the possibility of defining logical addresses based on content, called signatures, and to use filters to manage directories.","PeriodicalId":365511,"journal":{"name":"1984 IEEE First International Conference on Data Engineering","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1984-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Predicate trees: An approach to optimize relational query operations\",\"authors\":\"G. Gardarin, P. Valduriez, Y. Viémont\",\"doi\":\"10.1109/ICDE.1984.7271304\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the advent of relational database systems, multi-key searching problems have became the focus of a great deal of research. In this paper, we present a new data structure called predicate trees for clustering tuples of a relation in a way that allows the system to accelerate a large number of multi-dimensional queries. The directories used for the implementation of predicate trees in SABRE are organized as relations which are searched efficiently by filters. One of the most significant advantages of predicate trees is the possibility of defining logical addresses based on content, called signatures, and to use filters to manage directories.\",\"PeriodicalId\":365511,\"journal\":{\"name\":\"1984 IEEE First International Conference on Data Engineering\",\"volume\":\"52 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1984-04-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1984 IEEE First International Conference on Data Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDE.1984.7271304\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1984 IEEE First International Conference on Data Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDE.1984.7271304","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Predicate trees: An approach to optimize relational query operations
With the advent of relational database systems, multi-key searching problems have became the focus of a great deal of research. In this paper, we present a new data structure called predicate trees for clustering tuples of a relation in a way that allows the system to accelerate a large number of multi-dimensional queries. The directories used for the implementation of predicate trees in SABRE are organized as relations which are searched efficiently by filters. One of the most significant advantages of predicate trees is the possibility of defining logical addresses based on content, called signatures, and to use filters to manage directories.