{"title":"Technical Perspective: Succinct Range Filters","authors":"Stratos Idreos","doi":"10.1145/3371316.3371334","DOIUrl":null,"url":null,"abstract":"Data structures that filter data for point or range queries are prevalent across all data-driven applications, from analytics to transactions, and modern machine learning applications. The primary objective is simple: find whether one or more data items exist in the database. Yet, this simple task is exceptionally hard to perform efficiently, and surprisingly critical for the overall properties of the dataintensive applications that rely on filtering.","PeriodicalId":21740,"journal":{"name":"SIGMOD Rec.","volume":"3 1","pages":"77"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SIGMOD Rec.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3371316.3371334","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Data structures that filter data for point or range queries are prevalent across all data-driven applications, from analytics to transactions, and modern machine learning applications. The primary objective is simple: find whether one or more data items exist in the database. Yet, this simple task is exceptionally hard to perform efficiently, and surprisingly critical for the overall properties of the dataintensive applications that rely on filtering.