Query arrangement method and device based on business request data analysis

Abstract

The invention provides a query arrangement method and device based on business request data analysis, and relates to the technical field of information query service, the method comprises the following steps: setting feature fields according to field information in business request data, and configuring priority parameters corresponding to each feature field; obtaining a query instruction packet initiated by the authorized authority, and analyzing and storing the query instruction packet; reading business request data of the query instruction in the database, extracting a feature field in the business request data, performing query arrangement according to a priority parameter of the feature field, and calling a background host to query corresponding transaction details according to the query arrangement; and after completing the query of the transaction details, forming a feedback packet according to a preset requirement, and sending the feedback packet to the query system of the corresponding authority. By analyzing the business request data and adjusting the priority of the query instruction, the frequency of overdue and non-returned instructions is reduced, the frequency of instruction query failure caused by query timeout is reduced, and the network query obligation is better achieved.

Description

technical field [0001] The invention relates to the technical field of information query services, in particular to a query arrangement method and device based on business request data analysis. Background technique [0002] In the field of network supervision and investigation and control, at the request of the competent authorities, various assisting enforcement agencies have the obligation to inquire about a large number of account transaction details every day. [0003] In order to improve the response efficiency of network queries, some assisting executive agencies mainly process the entire network query process by optimizing the entire network query process into multiple asynchronous processing steps such as command reading, command query, result packaging, and result feedback, and finally feed back to the query of the authority. system. However, with the continuous increase of network query requirements and limited device processing capabilities, it is impossible to ...

AI Technical Summary

Problems solved by technology

However, with the continuous increase of network query requirements and limited device processing capabilities, it is impossible to increase the concurrency of command queries without limit. Therefore, if some account query spans in a certain batch of commands are too large, related account queries will occur. The detailed query cannot return the query results according to the agreed time, which leads to other query commands in the same batch are also directly treated as query failure due to time limitation issues (usually the organization and the competent authority agree that instructions that are not returned after a certain time must be returned as query failure. )

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