{"title":"利用数据流中的标点语义","authors":"Peter A. Tucker, D. Maier","doi":"10.1109/ICDE.2002.994733","DOIUrl":null,"url":null,"abstract":"Applications that process data streams are becoming common. These applications are often queries over streams, so it seems natural to use a database management system instead of a custom application. However, some traditional relational operators are not conducive to stream processing. We propose embedding punctuations into data streams. A punctuation is a predicate that describes a subset of tuples. It informs a stream processor that no tuples exist after that punctuation that satisfy its predicate.","PeriodicalId":191529,"journal":{"name":"Proceedings 18th International Conference on Data Engineering","volume":"1606 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Exploiting punctuation semantics in data streams\",\"authors\":\"Peter A. Tucker, D. Maier\",\"doi\":\"10.1109/ICDE.2002.994733\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Applications that process data streams are becoming common. These applications are often queries over streams, so it seems natural to use a database management system instead of a custom application. However, some traditional relational operators are not conducive to stream processing. We propose embedding punctuations into data streams. A punctuation is a predicate that describes a subset of tuples. It informs a stream processor that no tuples exist after that punctuation that satisfy its predicate.\",\"PeriodicalId\":191529,\"journal\":{\"name\":\"Proceedings 18th International Conference on Data Engineering\",\"volume\":\"1606 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-08-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings 18th International Conference on Data Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDE.2002.994733\",\"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.2002.994733","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Applications that process data streams are becoming common. These applications are often queries over streams, so it seems natural to use a database management system instead of a custom application. However, some traditional relational operators are not conducive to stream processing. We propose embedding punctuations into data streams. A punctuation is a predicate that describes a subset of tuples. It informs a stream processor that no tuples exist after that punctuation that satisfy its predicate.