CN117406964A - Data architecture model design method, device, electronic equipment and storage medium - Google Patents

Data architecture model design method, device, electronic equipment and storage medium Download PDF

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Publication number
CN117406964A
CN117406964A CN202311390845.1A CN202311390845A CN117406964A CN 117406964 A CN117406964 A CN 117406964A CN 202311390845 A CN202311390845 A CN 202311390845A CN 117406964 A CN117406964 A CN 117406964A
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China
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data
upstream
design
determining
data table
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Inventor
罗珍明
赵铭
易文峰
沈宇红
杜祺
徐文娟
杨赛
张涛
赵于权
杨正刚
李雄俊
李小强
章尊志
李忠文
毛极
符志强
黄曌
周小兵
戴建晖
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China Southern Power Grid Digital Platform Technology Guangdong Co ltd
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China Southern Power Grid Digital Platform Technology Guangdong Co ltd
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Priority to CN202311390845.1A priority Critical patent/CN117406964A/en
Publication of CN117406964A publication Critical patent/CN117406964A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F8/00Arrangements for software engineering
    • G06F8/20Software design
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/21Design, administration or maintenance of databases
    • G06F16/211Schema design and management
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/22Indexing; Data structures therefor; Storage structures
    • G06F16/2282Tablespace storage structures; Management thereof

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Software Systems (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Databases & Information Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

The invention discloses a data architecture model design method, a data architecture model design device, electronic equipment and a storage medium. The method comprises the following steps: receiving upstream data sent by upstream design, determining a database type corresponding to the upstream data, determining characteristic parameters of the upstream data, determining a business data table converted by the upstream data based on the characteristic parameters, acquiring a first association relationship, and determining to store the business data table in a corresponding database based on the first association relationship so as to form a final data architecture model. The technical scheme solves the problem of low design efficiency caused by unreasonable distribution of service data resources, realizes the connection with upstream design, and improves the accuracy of software design results.

Description

Data architecture model design method, device, electronic equipment and storage medium
Technical Field
The present invention relates to the field of software design technologies, and in particular, to a data architecture model design method, apparatus, electronic device, and storage medium.
Background
The software design comprises several important steps of business field design, application service design, technical architecture design, development architecture design, data architecture design, application detailed design and the like, wherein the step of data architecture design is used by a data architect for carrying out data analysis design on a system, so that the data architecture design is important for storage planning of business data involved in the data architecture design.
At present, the planning of service data is to simply store a list of class definitions, attributes and structures of the service data, but the method cannot reasonably allocate service data resources, and is too complex to plan, so that the design efficiency is low.
Disclosure of Invention
The invention provides a data architecture model design method, a device, electronic equipment and a storage medium, which are used for solving the problem of low design efficiency caused by unreasonable distribution of business data resources, realizing connection with upstream design and improving the accuracy of software design results.
According to an aspect of the present invention, there is provided a data architecture model design method applied to data architecture design in software design, the method comprising:
receiving upstream data sent by an upstream design, and determining a database type corresponding to the upstream data, wherein the upstream design is all designs before data architecture design in software design, and the upstream data is a design result generated after the completion of the upstream design;
determining characteristic parameters of the upstream data, and determining a service data table of the upstream data conversion based on the characteristic parameters, wherein the characteristic parameters at least comprise data attribute characteristics, data application methods and data structure characteristics, and the service data table consists of key fields required for describing services;
acquiring a first association relation, determining to store the service data table into a corresponding database based on the first association relation, and forming a final data architecture model, wherein the first association relation is used for describing association relation between each database type and the service data table, the data architecture model at least comprises the first association relation, a second association relation and the service data table, and the second association relation is used for describing the correspondence relation between the upstream data and the database types.
According to another aspect of the present invention, there is provided a data architecture model design apparatus applied to a data architecture design in a software design, the apparatus comprising:
the system comprises a database type determining module, a database type determining module and a database type determining module, wherein the database type determining module is used for receiving upstream data sent by an upstream design and determining a database type corresponding to the upstream data, the upstream design is all designs before data architecture design in software design, and the upstream data is a design result generated after the completion of the upstream design;
the data table determining module is used for determining characteristic parameters of the upstream data and determining a service data table converted by the upstream data based on the characteristic parameters, wherein the characteristic parameters at least comprise data attribute characteristics, data application methods and data structure characteristics, and the service data table consists of key fields required for describing services;
the system comprises a model building module, a data architecture model and a data processing module, wherein the model building module is used for obtaining a first incidence relation, determining and storing the business data table into a corresponding database based on the first incidence relation to form a final data architecture model, the first incidence relation is used for describing the incidence relation between each database type and the business data table, the data architecture model at least comprises the first incidence relation, a second incidence relation and the business data table, and the second incidence relation is used for describing the corresponding relation between the upstream data and the database types.
According to another aspect of the present invention, there is provided an electronic apparatus including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the data architecture model design method of any one of the embodiments of the present invention.
According to another aspect of the present invention, there is provided a computer readable storage medium storing computer instructions for causing a processor to implement the data architecture model design method according to any one of the embodiments of the present invention when executed.
According to the technical scheme, upstream data sent by an upstream design are received, the type of a database corresponding to the upstream data is determined, the characteristic parameters of the upstream data are determined, a service data table for converting the upstream data is determined based on the characteristic parameters, a first association relation is obtained, and the service data table is determined to be stored in the corresponding database based on the first association relation so as to form a final data architecture model. The technical scheme solves the problem of low design efficiency caused by unreasonable distribution of service data resources, realizes the connection with upstream design, and improves the accuracy of software design results.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a data architecture model design method provided in accordance with an embodiment of the present invention;
FIG. 2 is a schematic diagram of a data architecture model design apparatus according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an electronic device implementing a data architecture model design method according to an embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
Fig. 1 is a flowchart of a data architecture model design method according to an embodiment of the present invention, where the method may be performed by a data architecture model design device, and the data architecture model design device may be implemented in hardware and/or software, and the data architecture model design device may be configured in any electronic device having a network communication function. As shown in fig. 1, the method includes:
s110, receiving upstream data sent by the upstream design, and determining a database type corresponding to the upstream data.
The upstream design is all designs before the data architecture design in the software design, and the upstream data is the design result generated after the completion of the upstream design.
The software design of the application comprises several important steps of business field design, application service design, technical architecture design, development architecture design, data architecture design, application detailed design and the like. The application mainly aims at a data architecture design, the data architecture design is used by a data architect when carrying out data analysis design on a system, the data architecture design mainly relates to a service data table and how to store the service data table, a data architecture model comprises the service data table and the storage of the service data table, and the data architecture model mainly describes information such as a data structure, data integrity constraint, data performance, a relation structure among the data structure and the data integrity constraint. The data architecture model is constructed by taking a technical model selection result (technical architecture design) as a constraint, adapting an application service model result (application service design) and analyzing. The data architecture design is to perform storage planning, structural design and performance design on service data to meet corresponding service requirements.
Specifically, a second association relationship is obtained, and the database type corresponding to the upstream data is determined based on the upstream data and the second association relationship. The second association is used for describing the correspondence between the upstream data and the database type.
The step is to plan a storage structure in the data architecture model, namely, the architecture of the data architecture model is built, specifically, upstream data corresponds to supported micro services, and different micro services correspond to different database types, so that a second association relationship is built, the database types corresponding to the upstream data are obtained through the upstream data and the second association relationship, the connection between the upstream data and the data architecture design is built, and the overall accuracy of the software design is ensured.
S120, determining characteristic parameters of the upstream data, and determining a service data table for converting the upstream data based on the characteristic parameters.
The characteristic parameters at least comprise data attribute characteristics, data application methods and data structure characteristics, and the service data table consists of key fields required for describing the service.
Specifically, the target type (the target type may be information such as model architecture and model selection corresponding to the model) of the class model designed upstream is obtained, and the upstream data is analyzed based on the target type, so as to obtain the characteristic parameters of the upstream data. That is, the present application constrains the business data table by the type of class model of the upstream design to ensure acceptance of the upstream design. And further converting the upstream data into each key field required by the service through a conversion engine according to the characteristic parameters, and reasonably combining the key fields to form each service data table.
S130, acquiring a first association relation, and determining to store the business data table into a corresponding database based on the first association relation so as to form a final data architecture model.
The data architecture model at least comprises the first association relation, the second association relation and the service data table, wherein the second association relation is used for describing the corresponding relation between upstream data and database types.
Specifically, the service data table is stored in a designated database to ensure that a user can effectively experience each service, so that a first association relation describing the association relation between each database type and the service data table is required to be established, and therefore, after the service data table is acquired, the database type matched with the service data table can be accurately determined based on the first association relation, so that the service data table is stored in a database corresponding to the database type, a final data architecture model is constructed, and meanwhile, the data architecture model is carried out according to initial upstream data in a step-by-step manner, the consistency of overall software design can be effectively ensured, and the overall software design is prevented from going out.
After the final data architecture model is formed, the data architecture model still needs to be updated due to different service requirements, namely, the data of the service data table is increased, reduced and moved according to the service requirements so as to update the service data table, and the data of the data architecture model can be directly increased, reduced and moved according to the service requirements so as to ensure the accuracy of the data architecture model, enhance the data performance and perfect the service scene.
According to the technical scheme, upstream data sent by an upstream design are received, the type of a database corresponding to the upstream data is determined, the characteristic parameters of the upstream data are determined, a service data table for converting the upstream data is determined based on the characteristic parameters, a first association relation is obtained, and the service data table is determined to be stored in the corresponding database based on the first association relation so as to form a final data architecture model. The technical scheme solves the problem of low design efficiency caused by unreasonable distribution of service data resources, realizes the connection with upstream design, and improves the accuracy of software design results.
Example two
Fig. 2 is a schematic structural diagram of a data architecture model design device according to an embodiment of the present invention, where the embodiment is applicable to a case of designing a data architecture model in a data architecture design in a software design, the data architecture model design device may be implemented in a form of hardware and/or software, and the data architecture model design device may be configured in any electronic device having a network communication function. As shown in fig. 2, the apparatus includes:
the database type determining module 210 is configured to receive upstream data sent by an upstream design, and determine a database type corresponding to the upstream data, where the upstream design is all designs before a data architecture design in a software design, and the upstream data is a design result generated after the upstream design is completed;
a data table determining module 220, configured to determine a characteristic parameter of the upstream data, and determine a service data table for converting the upstream data based on the characteristic parameter, where the characteristic parameter includes at least a data attribute feature, a data application method, and a data structure feature, and the service data table includes key fields required for describing a service;
the model building module 230 is configured to obtain a first association relationship, determine to store the service data table in a corresponding database based on the first association relationship, so as to form a final data architecture model, where the first association relationship is used to describe association relationships between each database type and the service data table, and the data architecture model at least includes the first association relationship, a second association relationship, and the service data table, and the second association relationship is used to describe a correspondence relationship between the upstream data and the database type.
Optionally, the database type determining module includes a database type determining unit for:
and acquiring the second association relationship, and determining the database type corresponding to the upstream data based on the upstream data and the second association relationship.
Optionally, the data table determining module includes a parameter determining unit for:
and acquiring a target type of an upstream designed class model, and analyzing the upstream data based on the target type to acquire characteristic parameters of the upstream data.
Optionally, the data table determining module includes a service data table determining unit, configured to:
and converting the upstream data into each key field required by the service through a conversion engine according to the characteristic parameters, and reasonably combining the key fields to form each service data table.
Optionally, the model building module includes a storage unit, configured to:
acquiring the service data table, and determining the database type matched with the service data table based on the first association relation;
and storing the service data table into a database corresponding to the database type.
Optionally, the model building module includes an updating unit for:
and updating the service data table according to service requirements to ensure the accuracy of the data architecture model.
The data architecture model design device provided by the embodiment of the invention can execute the data architecture model design method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
Example III
According to embodiments of the present disclosure, the present disclosure also provides an electronic device, a readable storage medium and a computer program product.
Fig. 3 is a schematic diagram of an electronic device that may be used to implement the data architecture model design method according to an embodiment of the present invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic equipment may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 3, the electronic device 10 includes at least one processor 11, and a memory, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, etc., communicatively connected to the at least one processor 11, in which the memory stores a computer program executable by the at least one processor, and the processor 11 may perform various appropriate actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from the storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 may also be stored. The processor 11, the ROM 12 and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.
Various components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, etc.; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 11 performs the various methods and processes described above, such as the data architecture model design method.
In some embodiments, the data architecture model design method may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the data architecture model design method described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the data architecture model design method in any other suitable manner (e.g., by means of firmware).
Various implementations of the systems and techniques described here above can be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), complex Programmable Logic Devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for carrying out methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) through which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.
The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.

Claims (10)

1. A data architecture model design method, applied to a data architecture design in a software design, comprising:
receiving upstream data sent by an upstream design, and determining a database type corresponding to the upstream data, wherein the upstream design is all designs before data architecture design in software design, and the upstream data is a design result generated after the completion of the upstream design;
determining characteristic parameters of the upstream data, and determining a service data table of the upstream data conversion based on the characteristic parameters, wherein the characteristic parameters at least comprise data attribute characteristics, data application methods and data structure characteristics, and the service data table consists of key fields required for describing services;
acquiring a first association relation, determining to store the service data table into a corresponding database based on the first association relation, and forming a final data architecture model, wherein the first association relation is used for describing association relation between each database type and the service data table, the data architecture model at least comprises the first association relation, a second association relation and the service data table, and the second association relation is used for describing the correspondence relation between the upstream data and the database types.
2. The method of claim 1, wherein determining the database type to which the upstream data corresponds comprises:
and acquiring the second association relationship, and determining the database type corresponding to the upstream data based on the upstream data and the second association relationship.
3. The method of claim 1, wherein determining the characteristic parameter of the upstream data comprises:
and acquiring a target type of an upstream designed class model, and analyzing the upstream data based on the target type to acquire characteristic parameters of the upstream data.
4. The method of claim 1, wherein determining the upstream data-converted traffic data table based on the characteristic parameter comprises:
and converting the upstream data into each key field required by the service through a conversion engine according to the characteristic parameters, and reasonably combining the key fields to form each service data table.
5. The method of claim 1, wherein determining to store the service data table in a corresponding database based on the first association comprises:
acquiring the service data table, and determining the database type matched with the service data table based on the first association relation;
and storing the service data table into a database corresponding to the database type.
6. The method of claim 1, wherein after forming the final data architecture model, the method further comprises:
and updating the service data table according to service requirements to ensure the accuracy of the data architecture model.
7. A data architecture model design apparatus, for use in a data architecture design in a software design, comprising:
the system comprises a database type determining module, a database type determining module and a database type determining module, wherein the database type determining module is used for receiving upstream data sent by an upstream design and determining a database type corresponding to the upstream data, the upstream design is all designs before data architecture design in software design, and the upstream data is a design result generated after the completion of the upstream design;
the data table determining module is used for determining characteristic parameters of the upstream data and determining a service data table converted by the upstream data based on the characteristic parameters, wherein the characteristic parameters at least comprise data attribute characteristics, data application methods and data structure characteristics, and the service data table consists of key fields required for describing services;
the system comprises a model building module, a data architecture model and a data processing module, wherein the model building module is used for obtaining a first incidence relation, determining and storing the business data table into a corresponding database based on the first incidence relation to form a final data architecture model, the first incidence relation is used for describing the incidence relation between each database type and the business data table, the data architecture model at least comprises the first incidence relation, a second incidence relation and the business data table, and the second incidence relation is used for describing the corresponding relation between the upstream data and the database types.
8. The apparatus of claim 7, wherein the database type determination module comprises a database type determination unit configured to:
and acquiring the second association relationship, and determining the database type corresponding to the upstream data based on the upstream data and the second association relationship.
9. An electronic device, the electronic device comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the data architecture model design method of any one of claims 1-6.
10. A computer readable storage medium storing computer instructions for causing a processor to implement the data architecture model design method of any one of claims 1-6 when executed.
CN202311390845.1A 2023-10-24 2023-10-24 Data architecture model design method, device, electronic equipment and storage medium Pending CN117406964A (en)

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