CN108255904B - Table structure modeling method and server - Google Patents
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- CN108255904B CN108255904B CN201710307284.2A CN201710307284A CN108255904B CN 108255904 B CN108255904 B CN 108255904B CN 201710307284 A CN201710307284 A CN 201710307284A CN 108255904 B CN108255904 B CN 108255904B
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Abstract
The invention is applicable to the technical field of data processing, and provides a table structure modeling method and a server. The method comprises the following steps: uploading at least one table structure, wherein each table structure comprises corresponding code information, and the code information contained in each table structure is different; detecting each table structure and acquiring associated information among the table structures; detecting whether data modeling between the table structures is abnormal or not according to the incidence relation between the table structures; and when the data modeling among the table structures is not detected to be abnormal, performing data modeling on the table structures, wherein the data model comprises the association information among the table structures. The method can enable the workers participating in the project to visually and quickly know the structure of the data model and the associated information between the table structures, improve the working efficiency, make association impact analysis and eliminate the risk brought by code modification.
Description
Technical Field
The invention belongs to the technical field of data processing, and particularly relates to a table structure modeling method and a server.
Background
When a project is developed, a data model is usually established, but in order to improve the project development efficiency, only a table structure is usually in the data model, and when a new person takes over the project to process, the work efficiency is low, the correlation influence analysis cannot be performed, and the risk brought by code modification may be caused due to unclear data model structure.
Disclosure of Invention
In view of this, embodiments of the present invention provide a table structure modeling method and a server, so as to solve the problem in the prior art that a data model structure is unclear, association impact analysis cannot be performed, and a risk brought by code modification may be caused.
In a first aspect of the embodiments of the present invention, a table structure modeling method is provided, including:
transmitting to at least one table structure, wherein each table structure comprises corresponding code information, and the code information contained in each table structure is different;
detecting each table structure and acquiring associated information among the table structures;
detecting whether the modeling between the table structures is abnormal or not according to the incidence relation between the table structures;
and when the modeling between the table structures is not detected to be abnormal, modeling the table structures, wherein the modeling model comprises the association information between the table structures.
Optionally, the table structure further includes a number and a field; the detecting each table structure and obtaining the association information between each table structure specifically includes:
detecting numbers and fields contained in each table structure;
and acquiring the associated information among the table structures according to the numbers and the fields contained in the table structures.
Optionally, the method further includes:
and displaying the modeling model as a visual image, wherein the visual image is displayed with each table structure and the associated information between the table structures.
Optionally, the detecting whether the modeling between the table structures has an abnormality according to the association relationship between the table structures specifically includes:
and generating a script from the associated information among the table structures, and detecting whether the modeling among the table structures is abnormal or not by performing pre-execution processing on the script.
Optionally, the method further includes: and outputting abnormal information when the data modeling among the table structures is detected to be abnormal.
In a second aspect of the embodiments of the present invention, a server is provided, where the server includes a memory, a processor, and a table structure modeling program stored in the memory and executable on the processor, and the processor implements the following steps when executing the table structure modeling program:
uploading at least one table structure, wherein each table structure comprises corresponding code information, and the code information contained in each table structure is different;
detecting each table structure and acquiring associated information among the table structures;
detecting whether the modeling between the table structures is abnormal or not according to the detected incidence relation between the table structures;
and when the modeling between the table structures is not detected to be abnormal, modeling the table structures, wherein the modeling model comprises the association information between the table structures.
Optionally, the table structure further includes a number and a field; the table structure also contains a number and a field; the detecting each table structure and acquiring the association information between each table structure specifically includes:
the number and field contained in each said table structure;
and acquiring the associated information among the table structures according to the numbers and the fields contained in the table structures.
Optionally, the processor is further configured to execute the table structure modeling program to implement the following steps:
and displaying the modeling model as a visual image, wherein the visual image is displayed with each table structure and the associated information between the table structures.
Optionally, the detecting whether the data modeling between the table structures is abnormal according to the association relationship between the table structures detected by the association detection module is as follows: and generating a script from the associated information among the table structures, and detecting whether the modeling among the table structures is abnormal or not by performing pre-execution processing on the script.
Optionally, the processor is further configured to execute the table structure modeling program to implement the following steps:
and outputting abnormal information when the data modeling among the table structures is detected to be abnormal.
In a third aspect of the embodiments of the present invention, a computer-readable storage medium is provided, where a table structure modeling program is stored, and when the table structure modeling program is executed by at least one processor, the table structure modeling program implements the steps of any one of the table structure modeling methods.
Compared with the prior art, the embodiment of the invention has the following beneficial effects: according to the embodiment of the invention, whether the data modeling between the table structures is abnormal or not is detected by detecting each table structure and acquiring the association information between the table structures according to the association relationship between the table structures, and when the data modeling between the table structures is not detected to be abnormal, the data modeling is carried out on each table structure, and the data model comprises the association information between the table structures, so that the working personnel participating in the project can intuitively and quickly know the structure of the data model, the association information between the table structures and the like, the working efficiency is improved, the association influence analysis can be well done, and the risk brought by code modification is eliminated.
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In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
FIG. 1 is a flow chart of a table structure modeling method provided by an embodiment of the invention;
FIG. 2 is a flowchart of an implementation of step S102 in FIG. 1;
FIG. 3 is a detailed flowchart of a table structure modeling method according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of an operating environment of a table structure modeling program provided by an embodiment of the invention;
FIG. 5 is a functional block diagram of a table structure modeling program provided by an embodiment of the present invention.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.
In order to explain the technical means of the present invention, the following description will be given by way of specific examples.
Fig. 1 shows an implementation flow of the table structure modeling method provided by the embodiment of the present invention, which is detailed as follows:
step S101, uploading at least one table structure, wherein each table structure comprises corresponding code information, and the code information contained in each table structure is different.
The table structure may be an excel file type table structure, each table structure includes corresponding code information to implement a corresponding function, and the corresponding code information is basically different due to different functional partitions of the respective table structures.
Step S102, detecting each table structure and obtaining the associated information among the table structures.
Wherein the table structure may further comprise a number and a field. Specifically, each table structure may include a number, and the number is a unique identifier of the corresponding table structure; the fields contained in each table structure may have certain relevance according to design needs.
Referring to fig. 2, in one embodiment, step S102 may be implemented by the following process:
step S201, detecting the numbers and fields contained in each table structure.
Specifically, each table structure may include a number, and the numbers between the table structures may have a certain relevance according to design requirements; fields contained in each table structure have certain relevance according to design requirements, so that the relevance information among the table structures can be obtained by detecting numbers and fields contained in the table structures.
Step S202, obtaining the association information between the table structures according to the numbers and the fields contained in the table structures.
The associated information between the table structures includes, but is not limited to, a business relationship, a data flow relationship, etc. between the table structures. The association information between the table structures further includes: an association between any two table structures, an association between a plurality of table structures, and the like. Through the acquired association relationship among the table structures, the association relationship network among the table structures can be preliminarily known.
In addition, each table structure may further include information such as name, length, primary key, and index, according to actual needs.
Step S103, detecting whether the data modeling between the table structures is abnormal or not according to the incidence relation between the table structures.
After the association relationship between the table structures is obtained in step S102, it is unclear whether data modeling between the table structures is successful, so whether an anomaly may exist in data modeling between the table structures is detected in advance.
As an implementation manner, the specific implementation process of step S103 may be: and generating a script from the associated information among the table structures, and detecting whether the data modeling among the table structures is abnormal or not by performing pre-execution processing on the script.
Specifically, a script may be generated by associating relationships between the table structures, and then the generated script may be pre-executed to detect whether and what exceptions exist in the data modeling between the table structures.
Optionally, after step S103, the table structure modeling method may further include: and when the data modeling between the table structures is detected to be abnormal, outputting abnormal information to remind workers of the abnormal information which can exist in the data modeling between the table structures, and outputting the abnormal information to the workers, so that the workers can perform targeted processing according to the abnormal information.
And step S104, when the data modeling among the table structures is not detected to be abnormal, performing data modeling on the table structures, wherein the data model comprises the association information among the table structures.
Specifically, when it is not detected in step S103 that there is an abnormality in data modeling between the respective table structures, data modeling is performed on the respective table structures, and a data model including association information between the respective table structures is formed. In addition, the data model can also comprise the association relationship among various businesses and the association relationship among various systems. The services are developed by the user through each table structure according to actual needs, and each service is embodied through a plurality of table structures, so that the information of each service and the associated information between each service can be generated and put in a data model. Similarly, the system is developed by each table structure according to actual needs by a user, and each system is embodied by a plurality of table structures, so that the information of each system and the associated information among the systems can be generated and put in a data model.
Optionally, the table structure modeling method may further include: and displaying the data model as a visual image, wherein the visual image is displayed with each table structure and the associated information between the table structures. Specifically, the data model is displayed as a visual image, and then the table structures and the associated information between the table structures are displayed in the visual image mode, so that a user can visually and quickly know the associated relationship between the table structures, the associated relationship between businesses and the associated relationship between systems.
For example, the association information between a certain table structure and other table structures can be displayed by clicking the table structure or inputting the number of the table structure; the business process can be displayed by inputting a certain business name or number.
Optionally, the table structure modeling method may further include: and generating a business data graph according to the data model. Specifically, a data diagram of each service can be generated through the established data model, so that a user can conveniently and visually know the data flow of each service.
Referring to fig. 3, in an embodiment, the table structure modeling method may specifically include the following processes:
step S301, uploading at least one table structure, wherein each table structure comprises corresponding code information, and the code information contained in each table structure is different.
Step S302, detecting the numbers and fields contained in each table structure.
Step S303, obtaining the association information between the table structures according to the numbers and fields contained in the table structures.
Step S304, generating a script from the associated information among the table structures, and detecting whether the data modeling among the table structures is abnormal or not by performing pre-execution processing on the script.
Step S305, when the data modeling among the table structures is not detected to be abnormal, performing data modeling on the table structures, wherein the data model comprises the association information among the table structures.
Step S306, displaying the data model as a visual image, wherein the visual image displays each table structure and the associated information between the table structures.
And step S307, outputting abnormal information when the data modeling among the table structures is detected to be abnormal.
The table structure modeling method detects whether data modeling between the table structures is abnormal or not by detecting the table structures and acquiring the association information between the table structures and according to the association relationship between the table structures, and performs data modeling on the table structures when the data modeling between the table structures is not detected to be abnormal, wherein the data model comprises the association information between the table structures, so that workers participating in the project can intuitively and quickly know the structure of the data model and the association information between the table structures, the working efficiency is improved, association influence analysis can be well done, and risks brought by code modification are eliminated.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
Fig. 4 is a schematic diagram of an operating environment of a table structure modeling program provided in an embodiment of the present invention, corresponding to the table structure modeling method described in the above embodiment. For convenience of explanation, only the portions related to the present embodiment are shown.
In the present embodiment, the table structure modeling program 400 is installed and executed in the server 40. The server 40 may include, but is not limited to, a memory 401 and a processor 402. FIG. 4 only shows server 40 having components 401 and 402, but it is to be understood that not all of the shown components are required and that more or fewer components may alternatively be implemented.
The storage 401 may in some embodiments be an internal storage unit of the server 40, such as a hard disk or a memory of the server 40. The memory 401 may also be an external storage device of the server 40 in other embodiments, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are provided on the server 40. Further, the memory 401 may also include both an internal storage unit of the server 40 and an external storage device. The memory 401 is used for storing application software installed in the server 40 and various types of data, such as program codes of the table structure modeling program 400. The memory 401 may also be used to temporarily store data that has been output or is to be output.
The processor 402 may be, in some embodiments, a Central Processing Unit (CPU), microprocessor or other data processing chip, and is used for executing the program codes stored in the memory 401 or processing data, such as executing the table structure modeling program 400.
The display 403 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch device, or the like in some embodiments. The display 403 is used for displaying information processed in the server 40 and for displaying a visualized user interface, such as an application menu interface, an application icon interface, and the like. The components 401 and 403 of the server 40 communicate with each other via a system bus.
Referring to fig. 5, a functional block diagram of a table structure modeling program 400 according to an embodiment of the present invention is shown. In this embodiment, the table structure modeling program 400 may be divided into one or more modules, and the one or more modules are stored in the memory 401 and executed by one or more processors (in this embodiment, the processor 402) to complete the present invention. For example, in FIG. 5, the table structure modeling program 400 can be divided into an upload module 501, an association detection module 502, an anomaly detection module 503, and a modeling module 504. The modules referred to in the present invention refer to a series of computer program instruction segments capable of performing specific functions, and are more suitable than programs for describing the execution process of the table structure modeling program 400 in the server 40. The following description will specifically describe the functions of the upload module 501, the association detection module 502, the anomaly detection module 503, and the modeling module 504.
The uploading module 501 is configured to upload at least one table structure, where each table structure includes corresponding code information, and the code information included in each table structure is different.
An association detecting module 502, configured to detect each table structure and obtain association information between the table structures.
An anomaly detection module 503, configured to detect whether there is an anomaly in the data modeling between the table structures according to the association relationship between the table structures detected by the association detection module 502.
A modeling module 504, configured to perform data modeling on each table structure when the anomaly detection module 503 does not detect that there is an anomaly in modeling between each table structure, where the data model includes association information between each table structure.
Optionally, the table structure further comprises a number and a field. Referring to fig. 5, in one embodiment, the association detection module may include a detection unit 601 and an acquisition unit 602.
The detecting unit 601 is configured to detect numbers and fields included in the table structures.
An obtaining unit 602, configured to obtain association information between the table structures according to numbers and fields included in the table structures.
Optionally, the table structure modeling program may further include a display module 505. A display module 505, configured to display the data model as a visual image, where the visual image displays each table structure and associated information between the table structures.
Optionally, the anomaly detection module 503 may be specifically configured to: and generating a script from the associated information among the table structures, and detecting whether the modeling among the table structures is abnormal or not by performing pre-execution processing on the script.
Optionally, the table structure modeling program may further include an information output module 506. An information output module 506, configured to output the abnormal information when the abnormality detection module 503 detects that there is an abnormality in the data modeling between the table structures.
In summary, the table structure modeling program 400 installed and running in the server 40 detects each table structure and obtains association information between each table structure, and detects whether data modeling between each table structure is abnormal according to an association relationship between each table structure, and performs data modeling on each table structure when data modeling between each table structure is not detected to be abnormal, and the data model includes the association information between each table structure, so that a worker participating in the project can intuitively and quickly know the structure of the data model and the association information between each table structure, and the like, thereby improving the work efficiency, making association impact analysis, and eliminating risks caused by code modification.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described system embodiments are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the embodiments of the present invention may be implemented in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, a network device, or the like) or a processor (processor) to execute all or part of the steps of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.
Claims (8)
1. A method for modeling a table structure, comprising:
uploading at least one table structure, wherein each table structure comprises corresponding code information, and the code information contained in each table structure is different;
detecting each table structure and acquiring associated information among the table structures;
detecting whether data modeling between the table structures is abnormal or not according to the incidence relation between the table structures;
when the data modeling among the table structures is not detected to be abnormal, performing data modeling on the table structures, wherein the data model comprises the association information among the table structures;
the detecting whether the data modeling between the table structures is abnormal or not according to the incidence relation between the table structures specifically comprises the following steps:
and generating a script from the associated information among the table structures, and detecting whether the data modeling among the table structures is abnormal or not by performing pre-execution processing on the script.
2. The table structure modeling method of claim 1, said table structure further comprising a number and a field; the detecting each table structure and obtaining the association information between each table structure specifically includes:
detecting numbers and fields contained in each table structure;
and acquiring the associated information among the table structures according to the numbers and the fields contained in the table structures.
3. The table structure modeling method of claim 1, further comprising:
and displaying the data model as a visual image, wherein the visual image is displayed with each table structure and the associated information between the table structures.
4. The table structure modeling method of any of claims 1 to 3, further comprising:
and outputting abnormal information when the data modeling among the table structures is detected to be abnormal.
5. A computer-readable storage medium storing a table structure modeling program, characterized in that the table structure modeling program, when executed by at least one processor, implements the steps of the table structure modeling method of any one of claims 1 to 4.
6. A server, comprising a memory, a processor, and a table structure modeling program stored on the memory and executable on the processor, the processor implementing the following steps when executing the table structure modeling program:
uploading at least one table structure, wherein each table structure comprises corresponding code information, and the code information contained in each table structure is different;
detecting each table structure and acquiring associated information among the table structures;
detecting whether data modeling between the table structures is abnormal or not according to the detected incidence relation between the table structures;
when the data modeling among the table structures is not detected to be abnormal, performing data modeling on the table structures, wherein the data model comprises the association information among the table structures;
the detecting whether the data modeling between the table structures is abnormal or not according to the incidence relation between the table structures detected by the incidence detection module specifically comprises:
and generating a script from the associated information among the table structures, and detecting whether the data modeling among the table structures is abnormal or not by performing pre-execution processing on the script.
7. The server according to claim 6, wherein the table structure further comprises a number and a field; the detecting each table structure and acquiring the association information between each table structure specifically includes:
detecting numbers and fields contained in each table structure;
and acquiring the associated information among the table structures according to the numbers and the fields contained in the table structures.
8. The server according to claim 6, wherein the processor is further configured to execute the table structure modeling program to perform the steps of:
and displaying the data model as a visual image, wherein the visual image is displayed with each table structure and the associated information between the table structures.
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| CN201710307284.2A CN108255904B (en) | 2017-05-04 | 2017-05-04 | Table structure modeling method and server |
| PCT/CN2018/083552 WO2018201896A1 (en) | 2017-05-04 | 2018-04-18 | List structure modelling method and apparatus, server and medium |
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| CN1870024A (en) * | 2005-05-27 | 2006-11-29 | 国际商业机器公司 | System model building auxiliary method and equipment |
| CN101211360A (en) * | 2006-12-28 | 2008-07-02 | 鸿富锦精密工业（深圳）有限公司 | System and method for processing a plurality of data form of report forms data source |
| CN102968306B (en) * | 2012-11-29 | 2016-01-20 | 广东全通教育股份有限公司 | A kind of code automatic generation method based on data model driving and system |
| CN104408045A (en) * | 2014-10-24 | 2015-03-11 | 浪潮软件股份有限公司 | Method for realizing ECLIPSE plug-in for data model management and application |
| CN104573100B (en) * | 2015-01-29 | 2017-11-14 | 无锡江南计算技术研究所 | A kind of distributed data base synchronous method with independent increment mark |
| CN105095436B (en) * | 2015-07-23 | 2018-07-17 | 苏州国云数据科技有限公司 | Data source data method for automatic modeling |
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