{"title":"Oracle TimesTen Scaleout: A New Scale-Out In-Memory Database Architecture for Extreme OLTP","authors":"Y. Chou, A. Raghavan, T. Lahiri","doi":"10.1145/3242153.3271881","DOIUrl":null,"url":null,"abstract":"Oracle TimesTen Scaleout is a shared-nothing scale-out inmemory database designed for extreme OLTP workloads, such as IoT, real-time fraud detection, telecommunications etc. TimesTen Scaleout features rich SQL including complex queries with joins, aggregations and analytic functions, transparent distributed execution, full ACID multi-statement transactions, global secondary indexes and sequences. The design features built-in high availability using a k-safe data duplication mechanism, and transparent failure handling in order to minimize application down time. All management functions such as installation, configuration, and monitoring are provided via a centralized management repository. We describe some of the challenges in developing such a scale-out in-memory database architecture and show extreme performance results exceeding 100 million transactions per second and 1 billion SQL selects per second.","PeriodicalId":407894,"journal":{"name":"Proceedings of the International Workshop on Real-Time Business Intelligence and Analytics","volume":"32 4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the International Workshop on Real-Time Business Intelligence and Analytics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3242153.3271881","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Oracle TimesTen Scaleout is a shared-nothing scale-out inmemory database designed for extreme OLTP workloads, such as IoT, real-time fraud detection, telecommunications etc. TimesTen Scaleout features rich SQL including complex queries with joins, aggregations and analytic functions, transparent distributed execution, full ACID multi-statement transactions, global secondary indexes and sequences. The design features built-in high availability using a k-safe data duplication mechanism, and transparent failure handling in order to minimize application down time. All management functions such as installation, configuration, and monitoring are provided via a centralized management repository. We describe some of the challenges in developing such a scale-out in-memory database architecture and show extreme performance results exceeding 100 million transactions per second and 1 billion SQL selects per second.