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Label processing method and system based on user data, equipment, and storage medium

A technology of user data and processing methods, applied in the field of data processing, can solve the problems of low efficiency of tens of millions of data, and achieve the effect of improving efficiency

Pending Publication Date: 2021-05-25
平安消费金融有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of this, the purpose of the embodiment of the present invention is to provide a label processing method, system, device and storage medium based on user data, which is used to solve the problem of low efficiency when timing tasks process tens of millions of data

Method used

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  • Label processing method and system based on user data, equipment, and storage medium
  • Label processing method and system based on user data, equipment, and storage medium
  • Label processing method and system based on user data, equipment, and storage medium

Examples

Experimental program
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Embodiment 1

[0049] refer to figure 1 , shows a flow chart of the steps of the user data-based tag processing method according to Embodiment 1 of the present invention. It can be understood that the flowchart in this method embodiment is not used to limit the sequence of execution steps. The computer device 2 is used as an exemplary description below. The computer device 2 can be a distributed cluster system. The distributed cluster includes a master control server and multiple execution servers. The master control server is used for scheduling The execution server. details as follows.

[0050] In step S100, the master control server receives a trigger operation of a timed task, generates a task processing instruction according to the trigger operation, and sends the task processing instruction to an execution server corresponding to the timed task.

[0051]Specifically, when the amount of user data processed by the timing task is too large, it is processed through a distributed cluster...

Embodiment 2

[0094] read on figure 2 , shows a schematic diagram of program modules of Embodiment 2 of the user data-based label processing system of the present invention. In this embodiment, the label processing system 20 based on user data may include or be divided into one or more program modules, and one or more program modules are stored in a storage medium and executed by one or more processors , to complete the present invention, and realize the above-mentioned tag processing method based on user data. The program module referred to in the embodiment of the present invention refers to a series of computer program instruction segments capable of completing specific functions, which is more suitable than the program itself to describe the execution process of the label processing system 20 based on user data in the storage medium. The following description will specifically introduce the functions of each program module of the present embodiment:

[0095] The main control server 2...

Embodiment 3

[0122] refer to image 3 , is a schematic diagram of the hardware architecture of the computer device according to Embodiment 3 of the present invention. In this embodiment, the computer device 2 is a device capable of automatically performing numerical calculation and / or information processing according to preset or stored instructions. The computer device 2 may be a rack server, a blade server, a tower server or a cabinet server (including an independent server, or a server cluster composed of multiple servers) and the like. Such as image 3 As shown, the computer device 2 at least includes, but is not limited to, a memory 21, a processor 22, a network interface 23, and a label processing system 20 based on user data that can communicate with each other through a system bus. in:

[0123]In this embodiment, the memory 21 includes at least one type of computer-readable storage medium, and the readable storage medium includes flash memory, hard disk, multimedia card, card-ty...

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Abstract

The invention discloses a label processing method based on user data, which comprises the following steps that: a master control server receives a trigger operation of a timed task, schedules and generates a task processing instruction according to the trigger operation, and sends the task processing instruction to an execution server corresponding to the timed task; the execution server obtain a token number and a query label corresponding to the timed task according to the task processing instruction ; the execution server obtains at least one piece of target user data of the line number corresponding to the token number from a preset database according to the obtained token number and the query label; the execution server groups the at least one piece of target user data according to a preset grouping strategy to obtain multiple groups of target user data; and the execution server creates a corresponding number of thread pools according to the number of the target user data groups, and labels a group of target user data associated with the thread pool through each thread pool. According to the invention, the data processing efficiency of the timed task is improved.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of data processing, and in particular to a tag processing method, system, device and storage medium based on user data. Background technique [0002] Customer data is changing in real time. In order to adapt to this change, the system needs to calculate various business labels of customers in real time, such as credit line, credit qualification, historical loan data, etc., but many of the business labels are not time-sensitive, such as whether There have been loans, whether the historical overdue days have reached X days, etc. According to the timeliness, this type of label can remain unchanged in the time dimension of year, month, week, day, hour, etc. The calculation of this type of label is frequently calculated when it is used It is very time-consuming and labor-intensive. [0003] Generally, a type of optimization scheme for this type of data is to run batches at regular inter...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/2457G06F16/248G06Q40/04
CPCG06F16/2457G06F16/248G06Q40/04
Inventor 李扬
Owner 平安消费金融有限公司