Design And Implementation Of Crown Size Query System Base On Hadoop

At present,there are phenomenon that people had sometimes withdraw counterfeit money from the ATM machine and counter from mainland.It is difficult for consumers to provide the evidences and it is not easy to rectify the responsibility.In order to provide effectively the proof for solving the dispute for counterfeit money and to rectify the responsibility,the people's Bank of China had issued ” the instructive idea from the general office of the people's Bank of China about the special treatment for banking financial institutions paying to public with counterfeit money wrongly” and " the guidelines for banking financial institutions to check the RMB crown size query to solve the dispute caused by counterfeit money”,etc.docs requiring that the commercial banks should build the system of crown size query.The main contents of the crown size querying contains "One system,Two objects,Three channels"."One system" refers to the establishment of system which can store and query the crown size when the bank paying the public cash;"Two objects" refers to the bills of 100 RMB and 50 RMB from the fifth set of RMB;"Three channel" refers to the ATM withdrawing channel,CRS deposit and withdraw unit channel and counter channel,these three channels will need to get the crown size data from system.The paper will introduce the design and implementation of the system of the brand name query from the software project development life cycle,including demand analysis,system design,system construction.In the technical framework of the application,the acquisition of crown size data files using nodeJs,data warehousing and storage using Hadoop and HBase,the front end of the function to show the use of SSH(struts+spring+hibernate)framework.The design and implementation of the system has been successfully put online in a commercial bank.It is now running stably,reliably and practically.The advantage of this system is safe and reliable without loss of data,real-time query of billionaire level data,the query speed is within seconds.