Transaction detail query method and device, electronic equipment and readable storage medium

A technology for transaction details and query methods, which is applied in electrical digital data processing, instruments, finance, etc., can solve problems such as low data collection efficiency, and achieve the effect of solving low efficiency, facilitating data migration and expansion, and improving efficiency.

Pending Publication Date: 2022-01-11
PING AN BANK CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention provides a transaction details query method, device, equipment and storage medium, the main purpose of which is to solve the problem of low collection efficiency of user behavior data

Method used

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  • Transaction detail query method and device, electronic equipment and readable storage medium
  • Transaction detail query method and device, electronic equipment and readable storage medium
  • Transaction detail query method and device, electronic equipment and readable storage medium

Examples

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specific Embodiment approach

[0110] In detail, the specific embodiments of each module of the transaction detail query device 100 are as follows:

[0111] Step 1, build multiple query clusters, and store the history transaction record obtained from a third-party database to the plurality of query clusters to obtain the transaction query cluster;

[0112] In the embodiment of the present invention, the third-party database includes a data warehouse (such as a TD data warehouse), a relational database (such as an Oracle database, DB2 database, etc.). The historical transaction record refers to detailed data of products and service transactions in different fields. For example, in the bank field, the history transaction record includes a credit card, a debit card, or the like stored in the TD data warehouse, or in the medical field, the history transaction record includes a payment record stored in a patient in an Oracle database, etc. . The transaction query cluster can be a MongoDB cluster, the MongoDB cluster...

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PUM

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Abstract

The invention relates to human artificial intelligence and digital medical technology, and discloses a transaction detail query method, which comprises the following steps: storing historical transaction records in a plurality of query clusters to obtain a transaction query cluster, configuring the transaction query cluster according to a preset time range, obtaining a data query layer, and obtaining a transaction query request, and performing validity verification on the transaction query request to obtain a legal query request, performing business distribution on the legal query request to obtain a business query request, performing dynamic routing on the business query request, and searching transaction details from the data query layer according to a dynamic routing result. In addition, the invention also relates to a block chain technology, and the historical transaction record can be transaction data of the medical user and can be stored in a node of a block chain. The invention further provides a transaction detail query method and device, electronic equipment and a computer readable storage medium. According to the invention, the problem of low transaction detail query efficiency can be solved.

Description

Technical field [0001] The present invention relates to the field of artificial intelligence, and more particularly to a transaction detail query method, device, electronic device, and computer readable storage medium. Background technique [0002] With the development of the Internet, online data has explosive surges, bringing serious challenges to data queries. For example, transaction detail data in the bank is composed of a debit card, credit card data, and the amount of data per day is around 3000W. The amount of data per month is about 900 million, the amount of data is very large, and the storage, query and other performance. Serious challenges. [0003] In the prior art, the data query is used in the prior art. There is a shorter of the following defects: 1, the storage space is limited by physical machine, unable to expand; 2, the single episode query performance is low, with the increase of traffic, query The efficiency is low. Inventive content [0004] The present in...

Claims

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Application Information

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IPC IPC(8): G06F16/9535G06Q40/04
CPCG06F16/9535G06Q40/04
Inventor 康明辉
Owner PING AN BANK CO LTD
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