摘要
随着铁路电子支付平台业务的发展和客运12306互联网售票系统售票支付量的大幅提升,支付系统在交易日志和快照环节遇到了性能瓶颈。研究运用Spark、Kafka、HBase等关键技术,基于Hadoop平台和Java开发工具设计数据处理架构,满足高性能和基于双活双中心的交易日志处理。经实际应用,大幅提升了系统处理能力,更好地支撑了铁路业务系统的发展需求。
With the development of railway electronic payment platform business and the substantial increase in ticket sales and payment for the 12306 Internet ticketing and reservation system,the payment system has encountered bottlenecks in the transaction log and snapshot link.This paper studied the use of spark,Kafka,HBase and other key technologies,and designed data processing architecture based on Hadoop platform and Java development tools to meet the requirements of high performance and processing based on double active centers processing.Through practical application,it greatly improves the system processing capacity and better supports the development needs of railway business system.
作者
王宁
王胜
WANG Ning;WANG Sheng(Beijing Jingwei Information Technology Co.Ltd.,Beijing 100081,China;Institute of Computing Technologies,China Academy of Railway Sciences Corporation Limited,Beijing 100081,China)
出处
《铁路计算机应用》
2021年第1期43-46,共4页
Railway Computer Application
基金
中国铁道科学研究院集团有限公司科技研究开发计划项目(2019YJ117)。
关键词
大数据技术
电子支付平台
双活中心
流计算
12306互联网售票系统
big data technology
electronic payment platform
double active centers
streaming computing
12306 Internet ticketing and reservation system
