银行卡跨行交易系统群的故障分析方法

Fault Analysis Method of Interbank Transaction System

当前银行卡跨行交易系统群复杂庞大,如何在交易系统群产生的海量数据中快速定位交易日志和分析交易失败原因对于支付系统的运营维护而言显得尤为重要.本文提出了一种交易日志切片的分析方法,该方法将接入用户从交易开始至交易结束整个流程的日志进行切片,主要利用Hadoop框架等相关技术进行大数据分析,帮助定位交易的故障信息以及提供对应的解决方案.采用上述方法实现了一个故障分析系统,实验结果表明:本方法可以明显提高交易日志查询和交易故障分析的效率,降低银行卡跨行交易系统群运营成本.

The current interbank transaction system is huge and complicated. How to quickly locate and analyze the cause of transaction failure from the massive amount of logs generated by the transaction system is very important. This paper proposes an analysis method based on the transaction log slice, which cuts the whole log from the start to the end of a transaction into slice. Then it leverages Hadoop framework and executes big data analysis with predefined scripts, which can locate the error information and find the solution more rapidly. A fault analysis system is implemented with this method. The experiments show that the method proposed in this paper can obviously improve the efficiency of transaction log query and fault analysis, which will reduce the operational cost of interbank transaction system.