Data processing method and device

Abstract

The invention discloses a data processing method and device, and relates to the technical field of computers. The method comprises the steps that a service request sent by a web server is received; a corresponding request object and various corresponding statistics types are obtained according to the service request; a recording account ID is established by the request object and the various statistics types, responding data of a target server are obtained from the corresponding server of the request object through the web server, and recording is conducted according to the recording account ID. Accordingly, the data processing method and device solves the problems that the data size of analysis processing is large, the efficiency is low, the transaction process can not be recorded clearly, and logic errors can occur easily when late statistics is conducted. The advantages that the data size of analysis processing can be lowered, the processing efficiency is improved, interaction process data are recorded clearly, the service logic in the late statistics can be simple, and the statistics accuracy can be improved are achieved.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a data processing method and device. Background technique [0002] With the development of the internet and computer technology, more and more people are shopping online, such as recharging mobile phone bills, purchasing electronic products online, etc. In this process, the first client (corresponding to consumers), the second The second client (corresponding to the merchant) connects to the servers of each bank through the platform server system to perform various transactions such as payment and refund. In this process, both the consumer client and the merchant client may use different bank servers for payment, transfer and other operations when conducting transactions. In order to ensure that the first client or the second client, the platform server system, and each bank server are exchanging data, all parties will record the transmitted transaction data (such as t...

AI Technical Summary

Problems solved by technology

In order to ensure that the first client or the second client, the platform server system, and each bank server are exchanging data, all parties will record the transmitted transaction data (such as the order number and amount), then the platform server In the system, for a business request initiated by a certain account ID, after processing, the response data returned by the corresponding bank server is received, and then a record table is created under the account ID to record the transaction data, such as the data of a certain expenditure How much is the amount of data received, etc., but the data obtained by this recording method will cause many problems for the data analysis of the later platform server system. When the server enters the statistical analysis of certain fields, it is recorded according to an account ID In the data, it is necessary to obtain all the record items under the account ID for extraction and analysis. The data processing volume is huge and the efficiency is low, and because it is recorded in a table according to the time when various transaction behaviors occur, but for the same A business request may correspond to multiple stages of transaction behavior in the same line, and the transaction behaviors of each stage corresponding to different business requests may be crossed in time, so it cannot clearly record the data of a certain transaction process in a continuous line , and based on this recording method, its recording logic is chaotic, which complicates the business logic of later statistical analysis, resulting in low statistical accuracy

One of its application scenarios is: for an account ID, the data generated by all its transaction behaviors (such as the amount in the account) can only be directly recorded with the ID to build a record table, such as how much money is received, how much is spent, etc. during various transactions For the generated data, if this method needs to perform statistical analysis on various accounting subjects, it is necessary to extract the entire table under the account ID. The amount of data processed is huge and the efficiency is low, and this method cannot clearly express the accounting Due to the confusion of its processing logic, it may lead to various financial accounting errors and low statistical accuracy

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