{"title":"SparkSQL+:基于Spark的下一代查询规划","authors":"Binyang Dai, Qichen Wang, K. Yi","doi":"10.1145/3555041.3589715","DOIUrl":null,"url":null,"abstract":"We will demonstrate SparkSQL+, a SQL processing engine built on top of Spark. Unlike the vanilla SparkSQL that uses classical query plans, SparkSQL+ adopts some of the recently developed new query plans, including generalized hypertree decompositions(GHD), worst-case optimal join (WCOJ) algorithms, and conjunctive queries with comparisons (CQC). SparkSQL+ also provides a platform for users to explore different query plans for a given query through a web-based interface, and compare their performance with classical query plans on the same Spark core.","PeriodicalId":161812,"journal":{"name":"Companion of the 2023 International Conference on Management of Data","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"SparkSQL+: Next-generation Query Planning over Spark\",\"authors\":\"Binyang Dai, Qichen Wang, K. Yi\",\"doi\":\"10.1145/3555041.3589715\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We will demonstrate SparkSQL+, a SQL processing engine built on top of Spark. Unlike the vanilla SparkSQL that uses classical query plans, SparkSQL+ adopts some of the recently developed new query plans, including generalized hypertree decompositions(GHD), worst-case optimal join (WCOJ) algorithms, and conjunctive queries with comparisons (CQC). SparkSQL+ also provides a platform for users to explore different query plans for a given query through a web-based interface, and compare their performance with classical query plans on the same Spark core.\",\"PeriodicalId\":161812,\"journal\":{\"name\":\"Companion of the 2023 International Conference on Management of Data\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Companion of the 2023 International Conference on Management of Data\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3555041.3589715\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Companion of the 2023 International Conference on Management of Data","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3555041.3589715","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
SparkSQL+: Next-generation Query Planning over Spark
We will demonstrate SparkSQL+, a SQL processing engine built on top of Spark. Unlike the vanilla SparkSQL that uses classical query plans, SparkSQL+ adopts some of the recently developed new query plans, including generalized hypertree decompositions(GHD), worst-case optimal join (WCOJ) algorithms, and conjunctive queries with comparisons (CQC). SparkSQL+ also provides a platform for users to explore different query plans for a given query through a web-based interface, and compare their performance with classical query plans on the same Spark core.
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