WO2023029850A1

WO2023029850A1 - Data processing method and apparatus, and electronic device and medium

Info

Publication number: WO2023029850A1
Application number: PCT/CN2022/109352
Authority: WO
Inventors: 张祎; 陈文航; 陈昌源; 罗旋
Original assignee: 北京火山引擎科技有限公司
Priority date: 2021-09-01
Filing date: 2022-08-01
Publication date: 2023-03-09
Also published as: CN113722326A

Abstract

Provided is a data processing method. The method comprises: in response to a change in the data structure of a first source table, acquiring a first data structure of a data model, wherein the first data structure is a data structure corresponding to the data model before the data structure of the first source table changes (S101); matching the data structure in the first source table with the first data structure of the data model, so as to obtain a matching result, wherein the data structure of the first source table is a data structure corresponding to the changed first source table (S102); and adjusting the first data structure of the data model according to the matching result, so as to obtain a second data structure of the data model (S103). It can be seen that, by means of the method provided in the present application, the data structure of a data model is kept consistent with the data structure of a first source table, thereby improving the accuracy of data analysis.

Description

A data processing method, device, electronic equipment and medium

This application claims the priority of the Chinese patent application with the application number 202111022842.3 and the title of the invention "a data processing method, device, electronic device and medium" submitted to the State Intellectual Property Office of China on September 1, 2021, the entire content of which Incorporated in this application by reference.

technical field

The invention belongs to the technical field of computer processing, and in particular relates to a data processing method, device, electronic equipment and medium.

Background technique

With the development of big data technology and applications, the amount of data managed by enterprises is becoming larger and larger, and big data analysis has become an essential means to drive business development of enterprises. The accuracy of data analysis depends on the accuracy of the data model, which is obtained from the source data table (source table). However, when the fields in the source data table change, because the data model cannot change the structure synchronously, the structure of the source table is inconsistent with the structure of the data model, which in turn causes the accuracy of the data model to decrease or even fail to synchronize the data.

Contents of the invention

In view of this, the embodiments of the present application provide a data processing method, device, electronic device, and medium, so as to update the structure of the data model when the data structure of the source table changes, and improve the accuracy of data analysis.

In order to achieve the above purpose, the technical solutions provided by the embodiments of the present application are as follows:

In the first aspect of the embodiment of the present application, a data processing method is provided, the method comprising:

In response to a change in the data structure of the first source table, the first data structure of the data model is acquired, the data model is a corresponding data table when analyzing the data in the first source table, and the first data The structure is the data structure corresponding to the data model before the data structure of the first source table changes;

Matching the data structure of the first source table with the first data structure of the data model to obtain a matching result, the data structure of the first source table is the data structure corresponding to the first source table after the change ;

The first data structure of the data model is adjusted according to the matching result to obtain the second data structure of the data model.

In the second aspect of the embodiment of the present application, a data processing device is provided, and the device includes:

An acquiring unit, configured to acquire a first data structure of a data model in response to a change in the data structure of the first source table, where the data model is a corresponding data table when analyzing data in the first source table, The first data structure is a data structure corresponding to the data model before the data structure of the first source table changes;

A matching unit, configured to match the data structure in the first source table with the first data structure of the data model to obtain a matching result, where the data structure of the first source table is the first The data structure corresponding to the source table;

An adjustment unit, configured to adjust the first data structure of the data model according to the matching result to obtain a second data structure of the data model.

In the third aspect of the embodiment of the present application, an electronic device is provided, and the device includes: a processor and a memory;

said memory for storing instructions or computer programs;

The processor is configured to execute the instructions or computer programs in the memory, so that the electronic device executes the data processing method described in the first aspect.

In a fourth aspect of the embodiments of the present application, there is provided a computer-readable storage medium, including instructions, which, when run on a computer, cause the computer to execute the data processing method described in the first aspect.

It can be seen that the embodiment of the present application has the following beneficial effects:

In this embodiment of the present application, the data structure of the first source table can be monitored. When it is detected that the data structure of the first source table changes, the first data structure of the data model is acquired. The first data structure is the data structure corresponding to the data model before the data structure of the first source table changes. Wherein, the data model is used to analyze the data in the first source table, and the data model physically corresponds to a data table, and the data table is obtained according to the data in the first source table. Match the data structure (the changed data structure) in the first source table with the first data structure of the data model to obtain a matching result. And adjust the first data structure of the data model according to the matching result to obtain the second data structure of the data model. It can be seen that, through the method provided by the embodiment of the present application, the data structure of the data model is kept consistent with the data structure of the first source table, thereby improving the accuracy of data analysis.

Description of drawings

The accompanying drawings are used to provide a further understanding of the present invention, and constitute a part of the description, and are used together with the embodiments of the present invention to explain the present invention, and do not constitute a limitation to the present invention. In the attached picture:

Fig. 1 is a flow chart of a data processing method provided by the embodiment of the present application;

Fig. 2a is a schematic diagram of data structure adjustment of a data source table provided by the embodiment of the present application;

Fig. 2b is a schematic diagram of a comparison of data structure adjustment provided by the embodiment of the present application;

FIG. 2c is a schematic diagram of another data structure adjustment comparison provided by the embodiment of the present application;

Figure 3a is a data structure framework diagram of an automatically updated data model provided by the embodiment of the present application;

FIG. 3b is a data structure framework diagram of a manual update data model provided by the embodiment of the present application;

FIG. 4 is a structural diagram of a data processing device provided in an embodiment of the present application;

FIG. 5 is a structural diagram of an electronic device provided by an embodiment of the present application.

Detailed ways

In order to make the above objects, features and advantages of the present application more obvious and understandable, the embodiments of the present application will be further described in detail below in conjunction with the accompanying drawings and specific implementation methods. It can be understood that the specific embodiments described here are only used to explain the present application, but not to limit the present application. In addition, it should be noted that, for the convenience of description, only parts relevant to the present application are shown in the drawings, not all structures.

In order to facilitate the understanding of the technical solutions provided by the embodiments of the present application, technical terms involved in the embodiments of the present application will first be described below.

Source table: The data source table is the original table used to store data, which is the data on the user side.

Data model: used to analyze the data in the source table, which physically corresponds to a bottom table.

Bottom table: A data table used to store the structure of the data model and the data in the source table. The structure of the data model is consistent with the structure of the bottom table. Among them, the reading speed of the data in the bottom table is higher than that of the data in the source table.

Field: The column name in the source table or the column name in the bottom table.

Synchronization task: used to synchronize the data in the source table to the bottom table.

In practical applications, after obtaining the source table, the user can generate a bottom table based on the data and related configuration of the source table to store the structure and data of the data model. When the data in the source table is updated, the synchronization task will automatically synchronize the new data from the source table to the bottom table. However, when the data structure of the source table changes, for example, a new field is added to the source table, because the structure of the bottom table has not changed accordingly, the data structure of the bottom table is inconsistent with the data structure of the source table, resulting in data loss and synchronization mission failed.

Based on this, in a data processing method provided by an embodiment of the present application, when a change in the data structure of the first source table is detected, the first data structure of the data model is acquired. The first data structure is the data structure corresponding to the data model before the data structure of the first source table changes, and the data structure of the first source table (the data structure after the change) and the first data structure of the data model Match and get the matching result. After the matching result is obtained, the first data structure of the data model is adjusted according to the matching result to obtain the second data structure of the data model. That is, before the data structure of the first source table is detected to be changed and the data in the data model is synchronized, the data structure of the first source table is compared with the first data structure of the data model to obtain the comparison result , and adjust the first data structure of the data model according to the comparison result. Therefore, the second data structure of the data model is consistent with the data structure of the first source table, thereby ensuring the smooth progress of the synchronization task and improving the accuracy of data analysis.

For ease of understanding, the technical solutions provided by the embodiments of the present application will be described below with reference to the accompanying drawings.

Referring to Fig. 1, this figure is a flow chart of a data processing method provided by the embodiment of the present application. As shown in Fig. 1, the method may include:

S101: In response to a change in the data structure of the first source table, acquire a first data structure of the data model.

In this embodiment, the data structure of the first source table can be monitored. When it is detected that the data structure of the first source table changes, the first data structure of the data model is acquired. Wherein, the first data structure is the data structure corresponding to the data model before the data structure of the first source table changes. The data model is a new data table generated according to the first source table, and the data table can analyze the data in the first source table. That is, the data included in the data model is consistent with the data in the first source table, but the data in the data model may have attribute information, such as life cycle. Wherein, the change of the data structure of the first source table may be operations such as adding fields, deleting fields, and modifying fields in the first source table. For example, as shown in Figure 2a, taking the modified field as an example, before modification, the field is password, and after modification, the field is pwd.

S102: Match the data structure of the first source table with the first data structure of the data model to obtain a matching result.

After obtaining the first data structure of the data model, match the data structure of the first source table with the first data structure of the data model, thereby determining the data structure of the first data structure of the data model and the first source table Inconsistent content, so as to get matching results. Wherein, the data structure of the first source table is the data structure corresponding to the first source table after the change. Wherein, the matching result may include one or more of adding fields, deleting fields, and modifying fields. For example, as shown in FIG. 2b, the data structure of the first source table is compared with the first data structure of the data model, and the matching result is a modified field. As shown in 2c, the data structure of the first source table is compared with the first data structure of the data model, and the matching result is an added field.

S103: Adjust the first data structure of the data model according to the matching result to obtain a second data structure of the data model.

After the matching result is determined, the first data structure of the data model is adjusted according to the matching result to obtain the second data structure of the data model. Further, after the first data structure of the data model is adjusted, the data corresponding to the second data structure of the data model is updated according to the data corresponding to the data structure of the first source table, thereby completing the synchronization task.

Specifically, when the matching result is adding a field, a corresponding field is added to the first data structure of the data model. When the matching result is to delete a field, delete the corresponding field in the first data structure of the data model. When the matching result is a modified field, the field before modification in the first data structure of the data model is deleted first, and then the field after modification is added in the first data structure of the data model. For example, if the field password in the first source table is changed to the field pwd, then when adjusting the first data structure of the data model, the field password is deleted first, and then the field pwd is added to obtain the second data structure of the data model.

It should be noted that, in some application scenarios, one data model can correspond to multiple source tables. When the field name added and/or the modified field name in the data structure of the first source table is duplicated with the field name in the data structure of the second source table, and the first data structure of the data model is adjusted , then add the corresponding source table identifier after the field name to distinguish fields from different source tables. For example, a data model corresponds to a first source table and a second source table. Among them, the field password in the first source table is changed to the field pwd, and the second source table includes the field pwd, then when the data model is modified, the field password of the first source table in the first data structure of the data model is modified is pwd.1, and the field pwd in the second source table in the first data structure of the data model is changed to pwd.2. In addition, when the delete operation is performed on the first source table, the first data structure of the data model may not be adjusted.

It should be noted that after the matching result is determined, the task of updating the first data structure of the data model may be automatically triggered, or the user may be notified to perform manual updating. When manual update and automatic update are performed at the same time, it will not only cause waste of resources, but also may cause update errors. Based on this, in order to solve the above-mentioned problems, an adjustment flag is added to avoid simultaneous execution of manual update and automatic update. Specifically, if the automatic update task is initiated first, the adjustment flag bit may be modified to the second information. For example, modify the adjustment flag bit to "modifying". When the user manually initiates the update task, the update operation is no longer performed because the flag is adjusted to be the second information at this time. After the adjustment of the first data structure of the data model is completed, the adjustment flag bit is modified to the first information, for example, the adjustment flag bit is set to null or no modification.

Therefore, before adjusting the first data structure of the data model according to the matching result, the information corresponding to the adjustment flag bit is acquired first. When the information of the adjustment flag bit is the first information, it indicates that there is no other update operation currently, the information of the adjustment flag bit is changed to the second information, and the first data structure of the data model is adjusted. After the adjustment of the first data structure of the data model is completed, the information of the adjustment flag is modified to the first information. Wherein, the adjustment flag bit is used to indicate whether the first data structure of the data model is being modified.

To facilitate the understanding of the implementation of the processing of adjusting the flag bits, refer to FIG. 3a and FIG. 3b respectively. Wherein, FIG. 3a is a processing flow of updating the first data structure of the data model automatically triggered in the synchronization task. First, it is determined whether the adjustment flag is being modified, and if not, the adjustment flag is configured as "modifying", and the first data structure of the data model is modified. After the modification is complete, execute the data update task. After executing the data update task, set the adjustment flag bit to "null". If the adjustment flag is "modifying", then end. Fig. 3b is a processing flow of manually updating the first data structure of the data model. First judge whether the adjustment flag is being modified, if not, configure the adjustment flag as "modifying". Manually modify the first data structure of the data model, and save the modified data structure, that is, the second data structure. After the modification of the first data structure of the data model is completed, the adjustment flag bit is configured as "empty". If the adjustment flag is "modifying", then end.

It can be seen that before the data structure of the first source table is detected to be changed and the data in the data model is synchronized, the data structure of the first source table (the changed data structure) and the first data structure of the data model ( Compare the data structure corresponding to the data model before the data structure of the first source table changes, and obtain a comparison result. And adjust the first data structure of the data model according to the comparison result, so that the second data structure of the data model is consistent with the data structure of the first source table, thereby ensuring the smooth progress of the synchronization task and improving the accuracy of data analysis.

Based on the foregoing method embodiments, an embodiment of the present application provides a data processing device, which will be described below with reference to the accompanying drawings.

Referring to FIG. 4, this figure is a structural diagram of a data processing device provided in the embodiment of the present application. As shown in FIG. 4, the device may include:

An acquisition unit 401, configured to acquire a first data structure of a data model in response to a change in the data structure of the first source table, where the data model is a corresponding data table when analyzing data in the first source table , the first data structure is the data structure corresponding to the data model before the data structure of the first source table changes;

The matching unit 402 is configured to match the data structure in the first source table with the first data structure of the data model to obtain a matching result. The data structure of the first source table is the first data structure after the change. A data structure corresponding to a source table;

The adjustment unit 403 is configured to adjust the first data structure of the data model according to the matching result to obtain a second data structure of the data model.

In a specific implementation manner, the matching result includes one or more of adding fields, deleting fields and modifying fields.

In a specific implementation manner, the adjustment unit 403 is specifically configured to delete the field before modification in the first data structure in the data model when the matching result is the modified field; The modified field is added to the first data structure in the data model to obtain the second data structure of the data model.

In a specific implementation manner, the device further includes: an adding unit;

The adding unit is specifically used to, when the field name of the added field and/or the field name of the modified field is repeated with the field name in the second source table, the field name of the corresponding field in the second data structure of the data model A corresponding source table identifier is added afterwards, and the data model is a corresponding data table when analyzing the data in the second source table.

In a specific implementation manner, the device further includes: a modifying unit;

The acquiring unit is further configured to acquire information corresponding to the adjustment flag bit;

A modifying unit, configured to modify the adjustment flag bit to second information when the adjustment flag bit is the first information.

In a specific implementation manner, the modifying unit is further configured to modify the adjustment flag bit to the first information after obtaining the second data structure of the data model.

In a specific implementation manner, the device further includes: an updating unit;

The updating unit is configured to update the data corresponding to the second data structure of the data model according to the data corresponding to the data structure of the first source table.

It should be noted that, for implementation of each unit in this embodiment, reference may be made to relevant descriptions of the foregoing method embodiments, and details are not repeated in this embodiment.

Referring to FIG. 5 , it shows a schematic structural diagram of an electronic device 500 suitable for implementing the embodiment of the present application. The terminal equipment in the embodiment of the present application may include but not limited to mobile phones, notebook computers, digital broadcast receivers, PDA (Personal Digital Assistant, personal digital assistant), PAD (portable android device, tablet computer), PMP (Portable Media Player, portable multimedia player), mobile terminals such as vehicle-mounted terminals (such as vehicle-mounted navigation terminals), and fixed terminals such as digital TVs (television, television sets), desktop computers, and the like. The electronic device shown in FIG. 5 is only an example, and should not limit the functions and scope of use of this embodiment of the present application.

As shown in FIG. 5, an electronic device 500 may include a processing device (such as a central processing unit, a graphics processing unit, etc.) 501, which may be randomly accessed according to a program stored in a read-only memory (ROM) 502 or loaded from a storage device 508. Various appropriate actions and processes are executed by programs in the memory (RAM) 503 . In the RAM 503, various programs and data necessary for the operation of the electronic device 500 are also stored. The processing device 501, ROM 502, and RAM 503 are connected to each other through a bus 504. An input/output (I/O) interface 505 is also connected to the bus 504 .

Typically, the following devices can be connected to the I/O interface 505: input devices 506 including, for example, a touch screen, touchpad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; including, for example, a liquid crystal display (LCD), speaker, vibration an output device 507 such as a computer; a storage device 508 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 509. The communication means 509 may allow the electronic device 500 to perform wireless or wired communication with other devices to exchange data. While FIG. 5 shows electronic device 500 having various means, it is to be understood that implementing or having all of the means shown is not a requirement. More or fewer means may alternatively be implemented or provided.

In particular, according to the embodiments of the present application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, the embodiments of the present application include a computer program product, which includes a computer program carried on a non-transitory computer readable medium, where the computer program includes program code for executing the method shown in the flowchart. In such an embodiment, the computer program may be downloaded and installed from a network via communication means 509 , or from storage means 508 , or from ROM 502 . When the computer program is executed by the processing device 501, the above-mentioned functions defined in the method of the embodiment of the present application are executed.

The electronic device provided in the embodiment of the present application and the data processing method provided in the above embodiment belong to the same inventive concept. For technical details not described in detail in this embodiment, please refer to the above embodiment, and this embodiment has the same features as the above embodiment. Beneficial effect.

An embodiment of the present application provides a computer-readable medium on which a computer program is stored, wherein, when the program is executed by a processor, the data processing method as described in any of the foregoing embodiments is implemented.

It should be noted that the computer-readable medium mentioned above in this application may be a computer-readable signal medium or a computer-readable storage medium, or any combination of the above two. A computer readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to, electrical connections with one or more wires, portable computer diskettes, hard disks, random access memory (RAM), read-only memory (ROM), erasable Programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination of the above. In the present application, a computer-readable storage medium may be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. In this application, however, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, carrying computer-readable program code therein. Such propagated data signals may take many forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the foregoing. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, which can transmit, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device . Program code embodied on a computer readable medium may be transmitted by any appropriate medium, including but not limited to wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

In some embodiments, the client and the server can communicate using any currently known or future network protocols such as HTTP (HyperText Transfer Protocol, Hypertext Transfer Protocol), and can communicate with digital data in any form or medium The communication (eg, communication network) interconnections. Examples of communication networks include local area networks ("LANs"), wide area networks ("WANs"), internetworks (e.g., the Internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed network of.

The above-mentioned computer-readable medium may be included in the above-mentioned electronic device, or may exist independently without being incorporated into the electronic device.

The above-mentioned computer-readable medium carries one or more programs, and when the above-mentioned one or more programs are executed by the electronic device, the electronic device is made to execute the above-mentioned data processing method.

Computer program code for carrying out the operations of this application may be written in one or more programming languages, or combinations thereof, including but not limited to object-oriented programming languages—such as Java, Smalltalk, C++, and Includes conventional procedural programming languages - such as the "C" language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In cases involving a remote computer, the remote computer can be connected to the user computer through any kind of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computer (such as through an Internet service provider). Internet connection).

The flowchart and block diagrams in the Figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in a flowchart or block diagram may represent a module, program segment, or portion of code that contains one or more logical functions for implementing specified executable instructions. It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or they may sometimes be executed in the reverse order, depending upon the functionality involved. It should also be noted that each block of the block diagrams and/or flowchart illustrations, and combinations of blocks in the block diagrams and/or flowchart illustrations, can be implemented by a dedicated hardware-based system that performs the specified functions or operations , or may be implemented by a combination of dedicated hardware and computer instructions.

The units involved in the embodiments described in the present application may be implemented by means of software or by means of hardware. Wherein, the name of the unit/module does not constitute a limitation on the unit itself under certain circumstances, for example, the voice data collection module can also be described as a "data collection module".

The functions described herein above may be performed at least in part by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: Field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), System on Chips (SOCs), Complex Programmable Logical device (CPLD) and so on.

In the context of the present application, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media would include one or more wire-based electrical connections, portable computer discs, hard drives, random access memory (RAM), read only memory (ROM), erasable programmable read only memory (EPROM or flash memory), optical fiber, compact disk read only memory (CD-ROM), optical storage, magnetic storage, or any suitable combination of the foregoing.

It should be noted that each embodiment in this specification is described in a progressive manner, each embodiment focuses on the differences from other embodiments, and the same and similar parts of each embodiment can be referred to each other. As for the system or device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and for relevant details, please refer to the description of the method part.

It should be understood that in this application, "at least one (item)" means one or more, and "multiple" means two or more. "And/or" is used to describe the association relationship of associated objects, indicating that there can be three types of relationships, for example, "A and/or B" can mean: only A exists, only B exists, and A and B exist at the same time , where A and B can be singular or plural. The character "/" generally indicates that the contextual objects are an "or" relationship. "At least one of the following" or similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one item (piece) of a, b or c can mean: a, b, c, "a and b", "a and c", "b and c", or "a and b and c ", where a, b, c can be single or multiple.

It should also be noted that in this article, relational terms such as first and second etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply that these entities or operations Any such actual relationship or order exists between. Furthermore, the term "comprises", "comprises" or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, method, article, or apparatus comprising a set of elements includes not only those elements, but also includes elements not expressly listed. other elements of or also include elements inherent in such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of additional identical elements in the process, method, article or apparatus comprising said element.

The above description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the application. Therefore, the present application will not be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

A data processing method, characterized in that the method comprises:

In response to a change in the data structure of the first source table, the first data structure of the data model is acquired, the data model is a corresponding data table when analyzing the data in the first source table, and the first data The structure is the data structure corresponding to the data model before the data structure of the first source table changes;

Matching the data structure of the first source table with the first data structure of the data model to obtain a matching result, the data structure of the first source table is the data structure corresponding to the first source table after the change ;

The first data structure of the data model is adjusted according to the matching result to obtain the second data structure of the data model.
The method according to claim 1, wherein the matching result includes one or more of adding fields, deleting fields and modifying fields.
The method according to claim 2, wherein the adjusting the first data structure of the data model according to the matching result to obtain the second data structure of the data model comprises:

When the matching result is the modified field, delete the field before modification in the first data structure in the data model;

The modified field is added to the first data structure in the data model to obtain the second data structure of the data model.
The method according to claim 2 or 3, characterized in that the method further comprises:

When the field name of the added field and/or the field name of the modified field is repeated with the field name in the second source table, the corresponding source table identifier is added after the field name of the corresponding field in the second data structure of the data model, The data model is a corresponding data table when analyzing the data in the second source table.
The method according to claim 1, wherein, before adjusting the first data structure of the data model according to the matching result to obtain the second data structure of the data model, the method further comprises:

Obtain the information corresponding to the adjustment flag, and the adjustment flag is used to indicate whether the first data structure of the data model is being modified;

When the adjustment flag bit is the first information, modify the adjustment flag bit to the second information.
The method according to claim 5, wherein the method further comprises:

After obtaining the second data structure of the data model, modify the adjustment flag bit to the first information.
The method according to claim 1, further comprising:

The data corresponding to the second data structure of the data model is updated according to the data corresponding to the data structure of the first source table.
A data processing device, characterized in that the device comprises:

An acquiring unit, configured to acquire a first data structure of a data model in response to a change in the data structure of the first source table, where the data model is a corresponding data table when analyzing data in the first source table, The first data structure is a data structure corresponding to the data model before the data structure of the first source table changes;

A matching unit, configured to match the data structure in the first source table with the first data structure of the data model to obtain a matching result, where the data structure of the first source table is the first The data structure corresponding to the source table;

An adjustment unit, configured to adjust the first data structure of the data model according to the matching result to obtain a second data structure of the data model.
An electronic device comprising: a processor and a memory;

said memory for storing instructions or computer programs;

The processor is configured to execute the instructions or computer programs in the memory, so that the electronic device executes the data processing method according to any one of claims 1-7.
A computer-readable storage medium, including instructions, which, when run on a computer, cause the computer to execute the data processing method described in any one of claims 1-7 above.