{"title":"技术视角:快速连接的数据分布","authors":"L. Libkin","doi":"10.1145/2949741.2949749","DOIUrl":null,"url":null,"abstract":"In your favorite database theory papers you will surely find all these three ingredients. A recent paper that has them as well – and that serves as the basis for the highlights paper that follows – is the PODS 2015 paper by Ameloot, Geck, Ketsman, Neven, and Schwentick that considers single-round multi-way join algorithms in parallel systems. This brief overview explains why this is so, and hopefully convinces you to read the full highlights paper.","PeriodicalId":21740,"journal":{"name":"SIGMOD Rec.","volume":"62 1","pages":"32"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Technical Perspective: Data Distribution for Fast Joins\",\"authors\":\"L. Libkin\",\"doi\":\"10.1145/2949741.2949749\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In your favorite database theory papers you will surely find all these three ingredients. A recent paper that has them as well – and that serves as the basis for the highlights paper that follows – is the PODS 2015 paper by Ameloot, Geck, Ketsman, Neven, and Schwentick that considers single-round multi-way join algorithms in parallel systems. This brief overview explains why this is so, and hopefully convinces you to read the full highlights paper.\",\"PeriodicalId\":21740,\"journal\":{\"name\":\"SIGMOD Rec.\",\"volume\":\"62 1\",\"pages\":\"32\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-06-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"SIGMOD Rec.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2949741.2949749\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"SIGMOD Rec.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2949741.2949749","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Technical Perspective: Data Distribution for Fast Joins
In your favorite database theory papers you will surely find all these three ingredients. A recent paper that has them as well – and that serves as the basis for the highlights paper that follows – is the PODS 2015 paper by Ameloot, Geck, Ketsman, Neven, and Schwentick that considers single-round multi-way join algorithms in parallel systems. This brief overview explains why this is so, and hopefully convinces you to read the full highlights paper.
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