Data model construction method, device and apparatus and computer readable storage medium

Abstract

The invention provides a data model construction method, device and apparatus and a computer readable storage medium. The method comprises the steps of continuously splitting each standard data modelin a preset standard data model pool into field units through a preset first thread concurrence strategy, gathering the field units to form a field unit pool, wherein the standard data models comprisedata tables, and the data tables comprise field units; according to the data constraint information in each standard data model, determining a field relationship between field units in the field unitpool and a table relationship between data tables to which the field units belong; and concurrently constructing a target data model corresponding to each scene field group in a preset scene field group pool according to the field unit pool, the field relationship and the table relationship through a preset second thread concurrency strategy. The invention relates to data processing, which can improve construction efficiency of a data model.

Description

technical field [0001] The present application relates to the technical field of data processing, and in particular to a data model construction method, device, equipment and computer-readable storage medium. Background technique [0002] The data model is the abstraction of data characteristics. The data model describes the static characteristics, dynamic behavior and constraints of the system from the abstract level, and provides an abstract framework for the information representation and operation of the database system. Different business scenarios require different data models. Engineers are usually required to sort out table structures, fields, constraints, relationships, primary keys, foreign keys, and naming rules based on business scenarios, and then based on the sorted table structures, fields, Constraints, relationships, primary keys, foreign keys, and naming rules to build a data model that meets the needs of business scenarios. However, sorting out the logic of...

AI Technical Summary

Problems solved by technology

Different business scenarios require different data models. Engineers are usually required to sort out table structures, fields, constraints, relationships, primary keys, foreign keys, and naming rules based on business scenarios, and then based on the sorted table structures, fields, Constraints, relationships, primary keys, foreign keys, and naming rules to build a data model that meets the needs of business scenarios. However, sorting out the logic of table structures, fields, constraints, relationships, primary keys, foreign keys, and naming rules is more complicated, requiring engineers to spend more More time to sort out, and the efficiency of data model construction is low

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