Data compensation method and system and computer readable storage medium

A data compensation and data technology, applied in the field of data compensation, can solve the problem of inability to precisely control the range of data compensation and deduplication, and achieve the effect of avoiding data processing, preventing duplication, and achieving precise control.

Pending Publication Date: 2021-02-02
成都中科大旗软件股份有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention mainly provides a data compensation method, system and computer-readable storage medium, which can solve the problems in the prior art that the range of data compensation cannot be accurately controlled and deduplication

Method used

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  • Data compensation method and system and computer readable storage medium
  • Data compensation method and system and computer readable storage medium
  • Data compensation method and system and computer readable storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0028] In order to solve the problem that the range of data compensation cannot be accurately controlled in the prior art, a method of data compensation is provided in this embodiment, such as figure 1 As shown, the method includes the following:

[0029] Create a supplementary recording task list according to the supplementary recording requirements; obtain specific supplementary recording information according to the supplementary recording task list;

[0030] Said obtaining specific supplementary recording information according to the supplementary recording task includes: obtaining supplementary recording data from the database by means of access coding;

[0031] Deduplication processing is performed on the supplementary data.

[0032] Further, a data compensation method includes a step of data import before creating a supplementary recording order according to supplementary recording requirements, and the data import includes accessing data containing supplementary recor...

Embodiment 2

[0042] When the system fails and cannot work normally, it will lead to the loss of data for a period of time and the system failure may cause data damage. On the basis of Embodiment 1, a method for data compensation is also provided, wherein the monotonously obtaining specific supplementary recording information according to the supplementary recording task includes: obtaining supplementary recording data from a database by means of an access code.

[0043] The step of acquiring specific supplementary recording information according to the supplementary recording task further includes: acquiring supplementary recording data from a database through an interface. When the system fails and cannot work normally, such as power outage, etc., it will cause data loss for a period of time and system failure may cause data damage. At this time, data can be supplemented by manual compensation. Specifically, through The interface uploads the supplementary data to the platform.

Embodiment 3

[0045] On the basis of Embodiment 1, a method for data compensation is provided, the method includes the following content: create a supplementary recording task list according to the supplementary recording requirements; obtain specific supplementary recording information according to the supplementary recording task list; The monotonous acquisition of specific re-recording information includes: obtaining re-recording data from the database by means of access codes; performing deduplication processing on the re-recording data.

[0046] The way of accessing codes is to obtain supplementary data from the database. The key is to fill in the coding information in the supplementary recording requirements.

[0047] Further, in a data compensation method, the re-recorded information includes FTP placeholders. For data access to supplementary data and functional iteration research results, the default supplementary information is generally directly used in the way of data access codi...

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Abstract

The invention discloses a data compensation method and system and a computer readable storage medium. The method comprises the steps of: creating a supplementary recording task list according to supplementary recording requirements; and calling specific additional recording information according to the additional recording task list, wherein the step of calling the specific additional recording information according to the additional recording task list comprises the step of obtaining additional recording data from a database in an access coding mode. The additional recording task list is created according to additional recording requirements, the corresponding task list is searched for or a new task list is added through a task allocation function, additional recording information is filled in through the additional recording function in the task list, and the coding access mode comprises the following steps that: the parameter value of the FTP placeholder comprises starting time andending time / the parameter value of the FTP placeholder only comprises one time field / the parameter value of the FTP placeholder is consistent with the parameter value in the FTP configuration placeholder. According to the invention, data compensation can be carried out through an active request or a time dimension setting mode, so that automatic data updating and additional recording change on abnormal data are facilitated.

Description

technical field [0001] The present invention relates to the field of data processing, in particular to a data compensation method, system and computer-readable storage medium. Background technique [0002] Big data refers to huge data sets collected from many sources in multiple forms, often in real time. In the case of business-to-business sales, this data may come from social networks, e-commerce sites, customer visit records, and many other sources. These data are not the normal data group of the company's customer relationship management database. From a technical point of view, the relationship between big data and cloud computing is as inseparable as the front and back of a coin. Big data cannot be processed by a single computer, and a distributed computing architecture must be adopted. Its characteristic lies in the mining of massive data, but it must rely on cloud computing's distributed processing, distributed database, cloud storage and / or virtualization technol...

Claims

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Application Information

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IPC IPC(8): G06F16/215G06F16/23
CPCG06F16/215G06F16/23
Inventor 周道华詹飞杨陈周涛曾俊黄泓蓓李武鸿黄维伏彦林刘杰王小腊洪江彭容罗玉周林张明娟许江泽吴婷婷
Owner 成都中科大旗软件股份有限公司
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