首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于Spark Streaming的实时流数据处理模型化研究与实现
引用本文:云惟英,苟宇,王京,王丽莉.基于Spark Streaming的实时流数据处理模型化研究与实现[J].测绘与空间地理信息,2017,40(Z1).
作者姓名:云惟英  苟宇  王京  王丽莉
作者单位:1. 北京超图软件股份有限公司,北京100015;北京市地理信息核心软件与应用工程技术研究中心,北京100015;2. 北京超图软件股份有限公司,北京,100015
摘    要:通过研究与分析,选取Spark Streaming技术实现对P实时流数据的处理.同时,研究出一套模型化的方式,实现动态装配软件的执行过程;并通过具体的实例展示了两者结合后,在数据处理的易用性、性能及吞吐量方面,都得到了大幅提升.

关 键 词:Spark  Streaming  空间大数据  时实流数据

Research and Implementation of the Modules Processing of Real Time Data Stream Based on Spark Streaming
YUN Wei-ying,GOU Yu,WANG Jing,WANG Li-li.Research and Implementation of the Modules Processing of Real Time Data Stream Based on Spark Streaming[J].Geomatics & Spatial Information Technology,2017,40(Z1).
Authors:YUN Wei-ying  GOU Yu  WANG Jing  WANG Li-li
Abstract:In this paper, Apache Spark Streaming is chosen to process real-time data stream after analyzing multiple technologies of distributed streaming computing. In addition, a set of modules are proposed to build the program for processing real-time data stream dynamically. Then an application example is shared based on the combination of these modules and Spark Streaming to prove the in-crease usability of data processing, and the substantially improved performance and throughput.
Keywords:Spark Streaming  real-time stream data  spatial big data
本文献已被 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号