用于键值存储的MapReduce连接策略

2014 11th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2014-05-14 DOI:10.1109/JCSSE.2014.6841861

Duong Van Hieu, Sucha Smanchat, P. Meesad

{"title":"用于键值存储的MapReduce连接策略","authors":"Duong Van Hieu, Sucha Smanchat, P. Meesad","doi":"10.1109/JCSSE.2014.6841861","DOIUrl":null,"url":null,"abstract":"This paper analyses MapReduce join strategies used for big data analysis and mining known as map-side and reduce-side joins. The most used joins will be analysed in this paper, which are theta-join algorithms including all pair partition join, repartition join, broadcasting join, semi join, per-split semi join. This paper can be considered as a guideline for MapReduce application developers for the selection of join strategies. The analysis of several join strategies for big data analysis and mining is accompanied by comprehensive examples.","PeriodicalId":331610,"journal":{"name":"2014 11th International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"MapReduce join strategies for key-value storage\",\"authors\":\"Duong Van Hieu, Sucha Smanchat, P. Meesad\",\"doi\":\"10.1109/JCSSE.2014.6841861\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper analyses MapReduce join strategies used for big data analysis and mining known as map-side and reduce-side joins. The most used joins will be analysed in this paper, which are theta-join algorithms including all pair partition join, repartition join, broadcasting join, semi join, per-split semi join. This paper can be considered as a guideline for MapReduce application developers for the selection of join strategies. The analysis of several join strategies for big data analysis and mining is accompanied by comprehensive examples.\",\"PeriodicalId\":331610,\"journal\":{\"name\":\"2014 11th International Joint Conference on Computer Science and Software Engineering (JCSSE)\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-05-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 11th International Joint Conference on Computer Science and Software Engineering (JCSSE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/JCSSE.2014.6841861\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 11th International Joint Conference on Computer Science and Software Engineering (JCSSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/JCSSE.2014.6841861","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 10

摘要

本文分析了用于大数据分析和挖掘的MapReduce连接策略，即map-side和reduce-side连接。本文将分析最常用的联接算法，包括全对分区联接、重分区联接、广播联接、半联接、每分割半联接。本文可以作为MapReduce应用程序开发人员选择连接策略的指南。对大数据分析与挖掘的几种联接策略进行了分析，并辅以全面的实例。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

MapReduce join strategies for key-value storage

This paper analyses MapReduce join strategies used for big data analysis and mining known as map-side and reduce-side joins. The most used joins will be analysed in this paper, which are theta-join algorithms including all pair partition join, repartition join, broadcasting join, semi join, per-split semi join. This paper can be considered as a guideline for MapReduce application developers for the selection of join strategies. The analysis of several join strategies for big data analysis and mining is accompanied by comprehensive examples.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2014 11th International Joint Conference on Computer Science and Software Engineering (JCSSE)

自引率

0.00%

发文量