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Data blood relationship mining method and device, storage medium and electronic equipment

A blood relationship and data technology, applied in the computer field, can solve the problems that the data model cannot effectively trace the blood relationship, cannot guarantee the timeliness and accuracy of the data blood relationship, and the system tools cannot be applied, so as to improve the mining speed and search Effects of Speed ​​and Accuracy

Pending Publication Date: 2020-09-29
BEIJING WODONG TIANJUN INFORMATION TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In the case of many data models, especially when a large number of additions, deletions, and changes occur in the data model every day, the method of manually combing blood relationship cannot guarantee the timeliness and accuracy of data blood relationship combing; in addition, in the development of sub-module programs or highly complex In the case of program development, etc., the existing system tools for data blood relationship analysis cannot be applied, resulting in many data models in the business system being unable to effectively trace their corresponding blood relationship

Method used

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  • Data blood relationship mining method and device, storage medium and electronic equipment
  • Data blood relationship mining method and device, storage medium and electronic equipment
  • Data blood relationship mining method and device, storage medium and electronic equipment

Examples

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Embodiment 1

[0030] figure 1 It is a schematic flowchart of a data blood relationship mining method provided in Embodiment 1 of the present invention, and the method is applicable to data blood relationship mining during data management in a big data platform. The data kinship mining method in this embodiment can be executed by a data kinship mining device, which can be implemented by software and / or hardware, and which can be integrated into an electronic device with relatively large data computing functions , such as a laptop, desktop, or server. see figure 1 , the method of this embodiment specifically includes the following steps:

[0031] Step 110, generating a preprocessing data table according to the target source data table.

[0032] Wherein, the target source data table refers to the source data table currently to be processed, and the source data table may be an original data table in the business system. There can be one or more source data tables in a business system. The ...

Embodiment 2

[0051] figure 2 It is a schematic flow chart of a data kinship mining method provided by Embodiment 2 of the present invention. On the basis of the above-mentioned embodiments, this embodiment analyzes "according to the table name of the target source data table and the number of fields contained in the target source data table. And the field type of each field, generate data table identification" has been further optimized. On this basis, it is also possible to further optimize "according to the preset identification adding rules, add the data table identification to the target source data table, and generate a preprocessed data table". The explanations of terms that are the same as or corresponding to the above-mentioned embodiments will not be repeated here. see figure 2 , the data blood relationship mining method provided in this embodiment includes:

[0052] Step 210, according to the table name of the target source data table, the number of fields contained in the t...

Embodiment 3

[0072] image 3 A structural block diagram of a data kinship mining device provided in Embodiment 3 of the present invention, the device can be realized by software and / or hardware, generally integrated in electronic equipment, and can be determined by executing a data kinship mining method Data kinship. Such as image 3 As shown, the device includes:

[0073] The preprocessing data table generating module 310 is configured to generate a preprocessing data table according to the target source data table, wherein the preprocessing data table includes a data table identifier corresponding to the target source data table, and the data table identifier has global uniqueness;

[0074] The derived data table acquisition module 320 is used to acquire at least one derived data table obtained after data processing is performed on each data table including the preprocessed data table during the business operation of the business system;

[0075] A target derived data table determinat...

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Abstract

The embodiment of the invention discloses a data blood relationship mining method and device, a storage medium and electronic equipment. The method comprises the steps of: generating a preprocessing data table according to a target source data table, wherein the preprocessing data table comprises a data table identifier corresponding to the target source data table, and the data table identifier has global uniqueness; obtaining at least one derivative data table obtained by performing data processing on each data table containing the preprocessed data table in a service operation process of aservice system; determining each target derivative data table containing the data table identifier; and sorting the target source data table and the target derived data tables according to the generation time of the target source data table and the generation time of the target derived data tables, and determining a corresponding data blood relationship according to a sorting result. Through the technical scheme, the blood relationship of the data in the business system can be quickly and accurately determined.

Description

technical field [0001] The embodiments of the present invention relate to computer technology, and in particular, to a method, device, storage medium and electronic equipment for mining blood relationship of data. Background technique [0002] In the era of big data, data is growing explosively, and massive amounts of various types of data are being generated rapidly. From the generation, processing and integration, circulation and circulation of data to the final demise, a relationship will naturally be formed between the data, which is called the blood relationship of data. By analyzing the lineage of the data, the ins and outs of the data can be traced, and at the same time, the scope of the impact of the business system data can be traced. [0003] In order to truly depict the kinship relationship of data, it is usually necessary to constrain it with the help of model design specifications and system tool specifications, and track the kinship map of the model by configu...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/22G06F16/28
Inventor 李双义
Owner BEIJING WODONG TIANJUN INFORMATION TECH CO LTD
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