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Research on Multiple Files Input Programming Method Based on MapReduce

机译:基于MapReduce的多个文件输入编程方法研究

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摘要

Hadoop is a software framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. Hadoop is widely used due to its scalability, high reliability, low-cost, high efficiency and so on. Hadoop Distributed File System (HDFS) and MapReduce programming model are respectively used for storing and processing of the data. This paper firstly carries depth research and detailed introduction on HDFS and MapReduce, then proposing a programming method that can sort output according to the order input. Experimental results demonstrate that the proposed method is feasible and effective. Through such output, it will bring great convenience in data processing on the later work.
机译:Hadoop是一种软件框架,允许使用简单的编程模型对计算机集群进行大数据集的分布式处理。由于其可扩展性,高可靠性,低成本,高效率等,因此广泛使用Hadoop。 Hadoop分布式文件系统(HDFS)和MapReduce编程模型分别用于存储和处理数据。本文首先在HDFS和MapReduce上进行深度研究和详细介绍,然后提出了一种可以根据订单输入对输出进行排序的编程方法。实验结果表明,所提出的方法是可行和有效的。通过此类输出,它将在后期工作的数据处理中带来极大的便利。

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