{"title":"对TigerGraph中现代图形分析的聚合支持","authors":"Alin Deutsch, Yu Xu, Mingxi Wu, Victor E. Lee","doi":"10.1145/3318464.3386144","DOIUrl":null,"url":null,"abstract":"We describe how GSQL, TigerGraph's graph query language, supports the specification of aggregation in graph analytics. GSQL makes several unique design decisions with respect to both the expressive power and the evaluation complexity of the specified aggregation. We detail our design showing how our ideas transcend GSQL and are eminently portable to the upcoming graph query language standards as well as the existing pattern-based declarative query languages.","PeriodicalId":436122,"journal":{"name":"Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":"{\"title\":\"Aggregation Support for Modern Graph Analytics in TigerGraph\",\"authors\":\"Alin Deutsch, Yu Xu, Mingxi Wu, Victor E. Lee\",\"doi\":\"10.1145/3318464.3386144\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We describe how GSQL, TigerGraph's graph query language, supports the specification of aggregation in graph analytics. GSQL makes several unique design decisions with respect to both the expressive power and the evaluation complexity of the specified aggregation. We detail our design showing how our ideas transcend GSQL and are eminently portable to the upcoming graph query language standards as well as the existing pattern-based declarative query languages.\",\"PeriodicalId\":436122,\"journal\":{\"name\":\"Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-05-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"21\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3318464.3386144\",\"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 of the 2020 ACM SIGMOD International Conference on Management of Data","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3318464.3386144","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Aggregation Support for Modern Graph Analytics in TigerGraph
We describe how GSQL, TigerGraph's graph query language, supports the specification of aggregation in graph analytics. GSQL makes several unique design decisions with respect to both the expressive power and the evaluation complexity of the specified aggregation. We detail our design showing how our ideas transcend GSQL and are eminently portable to the upcoming graph query language standards as well as the existing pattern-based declarative query languages.