{"title":"The tree property is fundamental for query processing","authors":"N. Goodman, O. Shmueli","doi":"10.1145/588111.588119","DOIUrl":null,"url":null,"abstract":"One can partition the class of relational database schemas into tree schemas and cyclic schemas. In this paper we examine query processing implications of the partitioning; other areas impacted include dependency theory, schema design and graph theory.We consider a class of queries that compute the join of all relations in the database projected onto a prescribed set of attributes. We show that solving such queries (using the join, project and semijoin operators) is tantamount to creating an \"embedded\" tree schema which we call a tree projection. This lends further credibility to the pivotal nature of the tree/cyclic partitioning.Using the tree projection concept we analyze the problem of determining how many joins are needed to solve a query.","PeriodicalId":126896,"journal":{"name":"Proceedings of the 1st ACM SIGACT-SIGMOD symposium on Principles of database systems","volume":"74 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1982-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"28","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 1st ACM SIGACT-SIGMOD symposium on Principles of database systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/588111.588119","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 28
Abstract
One can partition the class of relational database schemas into tree schemas and cyclic schemas. In this paper we examine query processing implications of the partitioning; other areas impacted include dependency theory, schema design and graph theory.We consider a class of queries that compute the join of all relations in the database projected onto a prescribed set of attributes. We show that solving such queries (using the join, project and semijoin operators) is tantamount to creating an "embedded" tree schema which we call a tree projection. This lends further credibility to the pivotal nature of the tree/cyclic partitioning.Using the tree projection concept we analyze the problem of determining how many joins are needed to solve a query.