Improving the performance of query processing using proposed resilient distributed processing technique

作     者：C.Lakshmi K.Usha Rani 

作者机构：Department of Computer ScienceSri Padmavati Mahila VisvavidyalayamTirupatiIndia 

出 版 物：《International Journal of Intelligent Computing and Cybernetics》 (智能计算与控制论国际期刊（英文）)

年 卷 期：2021年第14卷第2期

页      面：158-169页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Query processing MapReduce Scalability Resilient distributed processing Spark 

摘      要：Purpose-Resilient distributed processing technique(RDPT),in which mapper and reducer are simplified with the Spark contexts and support distributed parallel query ***/methodology/approach-The proposed work is implemented with Pig Latin with Spark contexts to develop query processing in a distributed ***-Query processing in Hadoop influences the distributed processing with the MapReduce *** caters to the works on different nodes with the implementation of complex mappers and *** results are valid for some extent size of the ***/value-Pig supports the required parallel processing framework with the following constructs during the processing of queries:FOREACH;FLATTEN;COGROUP.