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Executing HIVE Queries on 3-Node Cluster and AWS Cluster-Comparative Analysis

机译:在3节点集群和AWS群集比较分析上执行Hive查询

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Cloud Database Management System (CDBMS) is one of the potential services provided by various Cloud Service Providers. Cloud providers cope with different users, different data and processing or analysis of different data. Traditional Database Management Systems are insufficient to handle such variety of data, users and their requirements. Hence, at the conceptual layer of CDBMS, traditional SQL, Oracle and many more Database Languages are insufficient to provide proper services to their users. HIVE and Pig are the different types of languages which are suitable for the cloud environment which can handle such huge amount of data. In this paper, performance comparison of 3-Node cluster and Cloud Based Cluster provided by the Amazon Web Services is being done. We have compared the processing of structured data with the help of different queries provided by HIVE tool on 3-Node cluster and Amazon Web Service (AWS) cluster. It has been concluded that HIVE queries on AWS cluster gives better results as compared to 3-Node cluster.
机译:云数据库管理系统(CDBMS)是各种云服务提供商提供的潜在服务之一。云提供商应对不同的用户,不同的数据和处理或分析不同的数据。传统数据库管理系统不足以处理各种数据,用户及其要求。因此,在CDBMS的概念层,传统的SQL,Oracle和更多数据库语言不足以向用户提供适当的服务。蜂巢和猪是适合云环境的不同类型的语言,这些语言可以处理这种大量数据。在本文中,正在完成Amazon Web服务提供的3节点群集和基于云的群集的性能比较。我们将在3节点群集和Amazon Web服务(AWS)群集的Hive工具提供的不同查询的帮助下比较了结构化数据的处理。已经得出结论,AWS群集上的蜂巢查询与3节点群集相比提供更好的结果。

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