Data search method, device and equipment and computer readable storage medium

Abstract

The invention discloses a data search method which comprises the following steps: displaying a retrieval component which comprises a first input box component and a multi-choice component; if a firstcontent input on the basis of the first input box component is detected, determining a replacement option corresponding to the first content, and updating and displaying an option of the multi-choicecomponent on the basis of the replacement option; and if a first search instruction triggered based on the option is detected, determining a target option corresponding to the first search instruction, and determining a first query result corresponding to the first search instruction based on the target option. The invention furthermore discloses a data search apparatus and device, and a computerreadable storage medium. According to the method, more search options are provided while tedious input operations are reduced in a mode of dynamically loading the options, and a user only needs to check the target options in the options, so that a desired query result can be searched, and flexible search of data is realized.

Description

technical field [0001] The present invention relates to the technical field of financial technology (Fintech), in particular to a data search method, device, equipment and computer-readable storage medium. Background technique [0002] In recent years, with the continuous development of financial technology (Fintech), especially Internet finance, data search technology has been introduced into the daily services of financial institutions such as banks. In the daily service process of financial institutions such as banks, a large amount of metadata, such as business data and user data, is accumulated. In order to meet the business needs of different business scenarios, metadata needs to be retrieved to filter out the target results, such as Screen out female customers from user data. Therefore, how to effectively retrieve metadata is a technical problem that banks and other financial institutions need to solve. [0003] Existing search engines generally provide a search entr...

AI Technical Summary

Problems solved by technology

[0004] However, the former can only be applied to text search scenarios. If you enter non-text, you cannot search; while the latter provides options, but the options are static. If the amount of data increases and the search requirements increase In this case, the retrieval system can only be updated to provide more options

In addition, due to the limitation of page display, the options are limited, which cannot meet the data governance scenarios of large-scale data sets of financial institutions such as banks. For example, if user data has multiple filtering features, such as 100, due to the limitation of page display, Only 50 filter features can be displayed for users to check

Obviously, the existing data search methods are not flexible enough to apply to more application scenarios

Images