{"title":"通过缓存感知中间件使用查询团队进行多个查询优化","authors":"K. O'Gorman, D. Agrawal, A. E. Abbadi","doi":"10.1109/ICDE.2002.994728","DOIUrl":null,"url":null,"abstract":"Queries with common sequences of disk accesses can make maximal use of a buffer pool. We developed middleware to promote the necessary conditions in concurrent query streams, and achieved a speedup of 2.99 in executing a workload derived from the TCP-H benchmark.","PeriodicalId":191529,"journal":{"name":"Proceedings 18th International Conference on Data Engineering","volume":"53 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"30","resultStr":"{\"title\":\"Multiple query optimization by cache-aware middleware using query teamwork\",\"authors\":\"K. O'Gorman, D. Agrawal, A. E. Abbadi\",\"doi\":\"10.1109/ICDE.2002.994728\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Queries with common sequences of disk accesses can make maximal use of a buffer pool. We developed middleware to promote the necessary conditions in concurrent query streams, and achieved a speedup of 2.99 in executing a workload derived from the TCP-H benchmark.\",\"PeriodicalId\":191529,\"journal\":{\"name\":\"Proceedings 18th International Conference on Data Engineering\",\"volume\":\"53 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-08-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"30\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings 18th International Conference on Data Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDE.2002.994728\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings 18th International Conference on Data Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDE.2002.994728","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multiple query optimization by cache-aware middleware using query teamwork
Queries with common sequences of disk accesses can make maximal use of a buffer pool. We developed middleware to promote the necessary conditions in concurrent query streams, and achieved a speedup of 2.99 in executing a workload derived from the TCP-H benchmark.
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