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Kanban data source generation method and device, equipment and storage medium

A data source and kanban technology, applied in the directions of database update, visual data mining, structured data retrieval, etc., can solve the problems of reducing the efficiency of data kanban generation, large CPU resources and memory consumption of business databases, etc., to improve generation efficiency, The effect of reducing CPU resources and memory consumption and reducing resource requirements

Pending Publication Date: 2021-12-31
PING AN BANK CO LTD
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AI Technical Summary

Problems solved by technology

[0003] The main purpose of this application is to provide a method, device, equipment, and storage medium for generating kanban data sources, aiming at solving the current method of using Oracle database for data summary and query when generating data kanban for distributed architecture systems , leading to excessive consumption of CPU resources and memory of the business database, the distributed architecture needs to collect the data of each node from multiple tables, which reduces the generation efficiency of the data kanban.

Method used

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  • Kanban data source generation method and device, equipment and storage medium
  • Kanban data source generation method and device, equipment and storage medium
  • Kanban data source generation method and device, equipment and storage medium

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Embodiment Construction

[0048] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0049] The application can be used in numerous general purpose or special purpose computer system environments or configurations. Examples: personal computers, server computers, handheld or portable devices, tablet-type devices, multiprocessor systems, microprocessor-based systems, set-top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, including A distributed computing environment for any of the above systems or devices, etc. This application may be described in the general context of computer-executable instructions, such as prog...

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Abstract

The invention relates to the technical field of artificial intelligence, and discloses a billboard data source generation method and device, equipment and a storage medium, and the method comprises the steps: obtaining an initial burying point summary data set sent by a target application server according to a one-way linked list blocking queue of the target application server, and storing the initial burying point summary data set in a Redis database; acquiring a data updating timing task and burying point statistical configuration data according to a second preset time interval; and executing the data updating timed task, performing burying point summarized data statistics on each burying point keyword in the burying point statistical configuration data according to the Redis database to obtain target burying point summarized data corresponding to each burying point keyword, and updating each target burying point summarized data into the target billboard data source. The resources demand of back-end processing is reduced, an Oracle database is prevented from being adopted for data summarization and query, the CPU resources and memory consumption of a service database is reduced, and the generation efficiency of the data board is improved.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence, in particular to a method, device, equipment and storage medium for generating kanban data sources. Background technique [0002] The data dashboard can visually display the progress information, thus being more and more widely used. The system adopts distributed architecture, the application is composed of a server cluster, the business function is processed by fragmentation and multi-thread processing, and the data is stored by multi-table storage. Traditionally, Oracle database (relational database management system) is used to summarize and query data, resulting in excessive CPU (central processing unit) resource and memory consumption of the business database. The distributed architecture needs to collect the data of each node from multiple tables, reducing the Improve the efficiency of data Kanban generation. Contents of the invention [0003] The main purpose ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/26G06F16/23G06F16/27
CPCG06F16/26G06F16/23G06F16/27
Inventor 江敏
Owner PING AN BANK CO LTD
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