{"title":"技术角度:带有比较的连接查询","authors":"Stijn Vansummeren","doi":"10.1145/3604437.3604449","DOIUrl":null,"url":null,"abstract":"Query processing, the art of efficiently executing a relational query on a given database, is a foundational and core area in data management research. Established at the dawn of relational database systems in the 1970's, relational query processing remains a highly relevant and vibrant research topic today as recent work shows that, apart from its application in traditional database scenarios, it is also highly effective in optimizing machine learning workloads [1].","PeriodicalId":346332,"journal":{"name":"ACM SIGMOD Record","volume":"86 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Technical Perspective: Conjunctive Queries with Comparisons\",\"authors\":\"Stijn Vansummeren\",\"doi\":\"10.1145/3604437.3604449\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Query processing, the art of efficiently executing a relational query on a given database, is a foundational and core area in data management research. Established at the dawn of relational database systems in the 1970's, relational query processing remains a highly relevant and vibrant research topic today as recent work shows that, apart from its application in traditional database scenarios, it is also highly effective in optimizing machine learning workloads [1].\",\"PeriodicalId\":346332,\"journal\":{\"name\":\"ACM SIGMOD Record\",\"volume\":\"86 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM SIGMOD Record\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3604437.3604449\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM SIGMOD Record","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3604437.3604449","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Technical Perspective: Conjunctive Queries with Comparisons
Query processing, the art of efficiently executing a relational query on a given database, is a foundational and core area in data management research. Established at the dawn of relational database systems in the 1970's, relational query processing remains a highly relevant and vibrant research topic today as recent work shows that, apart from its application in traditional database scenarios, it is also highly effective in optimizing machine learning workloads [1].