{"title":"Evaluation of order preservative XQuery over unavailable data sources","authors":"V. Sans, D. Laurent","doi":"10.1109/ICDIM.2007.4444230","DOIUrl":null,"url":null,"abstract":"Today, many web-services rely on queries over distributed data sources. However, these applications suffer from the unavailability of underlying data sources. In the presence of unavailable data sources, various techniques exist. Worst solutions simply ignore the problem, or generate an error, which is relatively frustrating for the user. Other works consider partial answers or mutant query plans to delay the querying of unavailable sources. Despite of their efficiency, those works are not order sensitive. It means that the data order in the final result does not reflect the underlying data source order and the order defined by the query. In this paper, we propose an order sensitive approach for the evaluation of queries when data sources are unavailable.","PeriodicalId":198626,"journal":{"name":"2007 2nd International Conference on Digital Information Management","volume":"34 4","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 2nd International Conference on Digital Information Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDIM.2007.4444230","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
Today, many web-services rely on queries over distributed data sources. However, these applications suffer from the unavailability of underlying data sources. In the presence of unavailable data sources, various techniques exist. Worst solutions simply ignore the problem, or generate an error, which is relatively frustrating for the user. Other works consider partial answers or mutant query plans to delay the querying of unavailable sources. Despite of their efficiency, those works are not order sensitive. It means that the data order in the final result does not reflect the underlying data source order and the order defined by the query. In this paper, we propose an order sensitive approach for the evaluation of queries when data sources are unavailable.