{"title":"Invest Once, Save a Million Times - LLVM-based Expression Compilation in PostgreSQL","authors":"D. Butterstein, Torsten Grust","doi":"10.15496/publikation-25721","DOIUrl":null,"url":null,"abstract":"We demonstrate how a surgical change to PostgreSQL’s evaluation strategy for SQL expressions can have a noticeable impact on overall query runtime performance. (This is an abridged version of [BG16], originally demonstrated at VLDB 2016.) The evaluation of scalar or Boolean expressions often takes the backseat in a discussion of query processing although table scans, filters, aggregates, projections","PeriodicalId":421643,"journal":{"name":"Datenbanksysteme für Business, Technologie und Web","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Datenbanksysteme für Business, Technologie und Web","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15496/publikation-25721","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
We demonstrate how a surgical change to PostgreSQL’s evaluation strategy for SQL expressions can have a noticeable impact on overall query runtime performance. (This is an abridged version of [BG16], originally demonstrated at VLDB 2016.) The evaluation of scalar or Boolean expressions often takes the backseat in a discussion of query processing although table scans, filters, aggregates, projections