WO2023124366A1

WO2023124366A1 - Shadow system-based feature comparison method and apparatus, and electronic device

Info

Publication number: WO2023124366A1
Application number: PCT/CN2022/124464
Authority: WO
Inventors: 周丰; 宋荣鑫; 黄建庭; 雷柴卫; 周斌; 袁风帆; 梁伟伦
Original assignee: 上海淇玥信息技术有限公司
Priority date: 2021-12-28
Filing date: 2022-10-10
Publication date: 2023-07-06
Also published as: CN114253600B; CN114253600A

Abstract

The present invention relates to the technical field of computers, in particular to a shadow system-based feature comparison method and apparatus, and an electronic device. The method comprises: acquiring production features of a pre-released service production version, service production data of an online service production version and production features of the online service production version; running the online service production version and the shadow system to obtain second service result data; comparing the first service result data with the second service result data, and comparing the production features of the pre-released service production version with the production features of the online service production system; and performing difference analysis on the comparison result, and processing the pre-released service production version according to a difference analysis result. The present invention uses the shadow system for quickly discovering the influence of the pre-released service production version on production features in a historical version, and avoids the situation that a verification finding cannot be covered due to the influence on calculation of the production features in the historical version, and therefore production accidents are avoided.

Description

A feature comparison method, device and electronic equipment based on shadow system

technical field

The invention relates to the field of computer technology, in particular to a feature comparison method, device and electronic equipment based on a shadow system.

Background technique

At present, after software products are put into use, some functions are often added or modified to ensure that the software provides better services. In the prior art, when the software version is updated, it is necessary for technicians to manually extract the relevant program files to be changed for updating. Due to the large number of program files to be changed, and the update methods of different files are different, when the technicians manually extract the files, not only will the It takes a lot of energy to export the program files that need to be changed, and it is easy to make mistakes, resulting in low efficiency and accuracy of software version updates.

After the software version is updated, the production data will be affected due to reasons such as version stability and version anomalies. When the new software version is also launched, it is impossible to confirm in advance whether it will affect the production characteristics of the old software version, thereby affecting the user experience of the updated version. . Therefore need a kind of method that solves the above problem badly.

Contents of the invention

The present invention provides a shadow system-based feature comparison method, device and electronic equipment, which are used to verify the production effect of the pre-release business production version in advance, improve model verification and online use efficiency, and avoid production accidents.

The embodiment of this specification provides a feature comparison method based on the shadow system, including:

Establish a communication interface connection between the shadow system and the production version of the online business;

Obtaining the production characteristics of the pre-release business production version, the business production data of the online business production version, and the production characteristics of the online business production version based on the communication interface;

Running an online business production version based on the business production data to obtain first business result data;

Running the shadow system based on the production characteristics of the pre-release business production version and the business production data to obtain second business result data;

Comparing the first business result data with the second business result data, comparing the production characteristics of the pre-release business production version with the production characteristics of the online business production system, and obtaining a first comparison result and a second comparison result respectively ;

A difference analysis is performed on the first comparison result and the second comparison result, and the pre-release service production version is processed according to the difference analysis result.

Preferably, before establishing the communication interface connection between the shadow system and the online business production version, it includes:

Perform functional verification and regression testing on the production features of the pre-release business production version;

Publishing the pre-release business production version that has passed functional verification and regression testing to the shadow system.

Preferably, the establishment of a communication interface connection between the shadow system and the online business production version includes:

Judging the interface relationship between the production version of the online business and the shadow system;

When there is a strong dependency relationship between the online business production version and the interface of the shadow system, the shadow system establishes a communication interface connection with the online business production version through a grayscale association system;

When there is no strong dependency relationship between the online service production version and the interface of the shadow system, the shadow system directly establishes a communication interface connection with the online service production version.

Preferably, the acquisition of the production characteristics of the pre-release business production version, the business production data of the online business production version, and the production characteristics of the online business production version based on the communication interface includes:

Using the feature computing center to extract the production features of the pre-release business production version and the production features of the online business production version;

The service production data of the online service production version is invoked through the communication interface.

Preferably, the processing of the pre-release business production version according to the difference analysis results includes:

When the difference analysis result shows that it is normal, perform production release and production verification on the pre-release business production version, and replace the online business production version.

Preferably, the processing of the pre-release business production version according to the difference analysis results further includes:

When the difference analysis result shows an abnormality, analyze the abnormality to obtain an abnormal analysis result;

The production feature of the pre-release business production version is repaired according to the abnormality analysis result.

The embodiment of this specification also provides a feature comparison device based on the shadow system, including:

The interface connection module is used to establish the communication interface connection between the shadow system and the online business production version;

An information acquisition module, configured to acquire, based on the communication interface, the production characteristics of the pre-release business production version, the business production data of the online business production version, and the production characteristics of the online business production version;

A first running module, configured to run an online business production version based on the business production data to obtain first business result data;

A second running module, configured to run the shadow system based on the production characteristics of the pre-release business production version and the business production data, to obtain second business result data;

A comparison module, configured to compare the first business result data with the second business result data, compare the production characteristics of the pre-release business production version with the production characteristics of the online business production system, and obtain first comparison results respectively and the second comparison result;

An analysis module, configured to perform difference analysis on the first comparison result and the second comparison result, and process the pre-release service production version according to the difference analysis result.

The test module is used to perform functional verification and regression testing on the production features of the pre-release business production version;

A release module, configured to release the pre-release business production version that has passed functional verification and regression testing to the shadow system.

Preferably, the interface connection module includes:

A judging unit, configured to judge the interface relationship between the production version of the online business and the shadow system;

A first interface connection unit, configured to establish a communication interface connection between the shadow system and the online business production version through a grayscale correlation system when there is a strong dependency relationship between the online business production version and the interface of the shadow system;

The second interface connection unit is configured to directly establish a communication interface connection between the shadow system and the online service production version when there is no strong dependency relationship between the interface of the online service production version and the shadow system.

Preferably, the information acquisition module includes:

A feature extraction unit, configured to use the feature computing center to extract the production features of the pre-release business production version and the production features of the online business production version;

A data calling unit, configured to call the business production data of the online business production version through the communication interface.

Preferably, the analysis module includes:

The version replacement unit is configured to perform production release and production verification on the pre-release business production version, and replace the online business production version when the difference analysis result shows normal.

Preferably, the analysis module also includes:

An abnormality analysis unit, configured to analyze the abnormality to obtain an abnormality analysis result when the difference analysis result shows an abnormality;

A version repairing unit, configured to repair the production features of the pre-release business production version according to the abnormality analysis result.

An electronic device, wherein the electronic device includes:

A processor and a memory storing a computer-executable program that, when executed, causes the processor to perform any of the methods described above.

A computer-readable storage medium, wherein the computer-readable storage medium stores one or more programs, and when the one or more programs are executed by a processor, implement the method described in any one of the above.

The present invention uses the shadow system to quickly discover the impact of the pre-release business production version on the production features in the historical version, avoiding the inability to cover the verification discovery caused by the impact on the production feature calculation in the historical version, and verify the production effect of the pre-release business production version in advance. Improve the efficiency of model verification and online use, so as to avoid production accidents.

Description of drawings

The drawings described here are used to provide a further understanding of the application and constitute a part of the application. The schematic embodiments and descriptions of the application are used to explain the application and do not constitute an improper limitation to the application. In the attached picture:

FIG. 1 is a schematic diagram of the principle of a feature comparison method based on a shadow system provided by an embodiment of this specification;

Fig. 2 is a feature comparison flow chart based on a shadow system provided by the embodiment of this specification;

Fig. 3 is a schematic structural diagram of a feature comparison device based on a shadow system provided by an embodiment of this specification;

FIG. 4 is a schematic structural diagram of an electronic device provided by an embodiment of this specification;

Fig. 5 is a schematic diagram of the principle of a computer-readable medium provided by the embodiment of this specification.

Detailed ways

Exemplary embodiments of the present invention will now be described more fully with reference to the accompanying drawings. However, example embodiments may be embodied in many forms, and this invention should not be construed as limited to the embodiments set forth herein. On the contrary, providing these exemplary embodiments can make the present invention more comprehensive and complete, and facilitate the full transfer of the inventive concept to those skilled in the art. The same reference numerals denote the same or similar elements, components or parts in the drawings, and thus their repeated descriptions will be omitted.

On the premise of conforming to the technical concept of the present invention, the features, structures, characteristics or other details described in a specific embodiment do not exclude that they can be combined in one or more other embodiments in a suitable manner.

In the description of the specific embodiments, the features, structures, characteristics or other details described in the present invention are intended to enable those skilled in the art to fully understand the embodiments. However, it does not exclude that those skilled in the art can practice the technical solutions of the present invention without one or more of the specific features, structures, characteristics or other details.

The diagrams shown in the accompanying drawings are illustrative only, and do not necessarily include all contents and operations/steps, nor do they have to be performed in the order described. For example, some operations/steps can be decomposed, and some operations/steps can be combined or partly combined, so the actual order of execution may be changed according to the actual situation.

The block diagrams shown in the drawings are merely functional entities and do not necessarily correspond to physically separate entities. That is, these functional entities may be implemented in software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor devices and/or microcontroller devices entity.

The term "and/or" or "and/or" includes all combinations of any one or more of the associated listed items.

Referring to Figure 1, it is a schematic diagram of the principle of a feature comparison method based on the shadow system provided by the embodiment of this specification, including:

S101: Establish a communication interface connection between the shadow system and the production version of the online business;

In a preferred embodiment of the present invention, the shadow system is a system that has all the functions and features of the pre-release business version. At the same time, it can realize the comparison of business result data, production characteristics, etc. between the shadow system and the online business production version, so that Quickly discover the impact of the production characteristics of the pre-release business version on the production characteristics of the online business production version, avoiding the impact of the production characteristics of the pre-release business version on the production characteristic calculation of the online business production version, which cannot cover the verification findings, thereby avoiding production accidents .

S102: Obtain the production characteristics of the pre-release business production version, the business production data of the online business production version, and the production characteristics of the online business production version based on the communication interface;

S103: Run an online business production version based on the business production data to obtain first business result data;

In a preferred embodiment of the present invention, the online business production version runs according to the business production data to obtain the first business result data, and the first business result data is used for subsequent comparison with the result data generated during the operation of the shadow system to achieve two production verification of a version.

S104: Run the shadow system based on the production characteristics of the pre-release business production version and the business production data to obtain second business result data;

In a preferred embodiment of the present invention, the shadow system is run, the business production data used by the shadow system is the business production data used by the online business production version, and the second business result data is obtained, and the same data is used for production verification, which can quickly Discover the impact of the production characteristics in the pre-release business production version on the production characteristics of the online production business version, and improve the verification efficiency and verification accuracy.

S105: Compare the first business result data with the second business result data, compare the production characteristics of the pre-release business production version with the production characteristics of the online business production system, and obtain the first comparison result and the second business result data respectively. compare results;

In a preferred embodiment of the present invention, the shadow system automatically compares the first business result data with the second business result data, obtains the first comparison result of the business result data between the two versions, and compares the production characteristics of the pre-release business production version With the production characteristics of the online business production system, a second comparison result of the production characteristics between the two versions is obtained, and then the above comparison results are summarized for subsequent data analysis.

S106: Perform difference analysis on the first comparison result and the second comparison result, and process the pre-release service production version according to the difference analysis result.

In a preferred embodiment of the present invention, the first comparison result and the second comparison result are analyzed to determine the difference in production characteristics and business result data between the pre-release business production version and the online production business version corresponding to the shadow system. When it is found that the difference between the production characteristics has no impact on the business result data or the impact is within the allowable error range, it means that the stability of the pre-release business production version corresponding to the shadow system at this time is suitable for online production, so the pre-release The release business production version goes online to replace the online production business version to optimize the function of the version.

Further, before establishing the communication interface connection between the shadow system and the online business production version, it includes:

In a preferred embodiment of the present invention, since the production features of the pre-release business production version are additionally added or updated production features on the basis of the production features of the online production business version, it is necessary to perform functional verification, Regression testing to ensure that additional or updated production features can be used online, using real business production data to perform regression verification on the pre-release business production version, making UAT (User Acceptance Test, User Acceptance Test) regression test verification scenarios more sufficient, The data is more real and rich, improving the efficiency of UAT regression verification, improving test regression efficiency, regression coverage, and regression accuracy. In the UAT process, the production environment verification can be carried out in advance, the effect can be verified in advance, and data calculation problems can be found in advance and repaired in time, thus greatly improving the verification and online use efficiency of the model in the production version.

Further, the establishment of the communication interface connection between the shadow system and the online business production version includes:

When there is a strong dependency relationship between the online business production version and the interface of the shadow system, the shadow system establishes a communication interface connection with the online business production version through a grayscale correlation system;

In a preferred embodiment of the present invention, it is determined whether the interface between the production version of the online business and the shadow system can realize a communication connection. The interface between the production version and the shadow system is associated to realize the communication connection between the production version of the online business and the shadow system; when there is no strong dependency relationship between the production version of the online business and the shadow system interface, the shadow system and the production The interface between the versions can realize the communication connection, and the communication interface connection between the shadow system and the online business production version is established through the above method, which is convenient for the shadow system to call the business production data and production characteristics of the online production business version, which is a follow-up feature Comparison and business result data comparison provide data support.

Further, the acquisition of the production characteristics of the pre-release business production version, the business production data of the online business production version, and the production characteristics of the online business production version based on the communication interface includes:

In a preferred embodiment of the present invention, the feature computing center provides standard process logic for feature computing, core logic related to cache control, configuration loading, monitoring, and multiplexing, and differentiated shadow systems and online production service version call interfaces to realize Comparison between the shadow system and the online production business version.

Further, the processing of the pre-release business production version according to the difference analysis result includes:

Further, the processing of the pre-release service production version according to the difference analysis result also includes:

In a preferred embodiment of the present invention, when the result of the difference analysis shows normal, it means that the stability of the pre-release business production version corresponding to the shadow system is suitable for online production, so the pre-release business production version can be put online to replace the online production Business version to optimize the function of the version; when the difference analysis results show abnormalities, it means that there is a big difference between the pre-release business production version corresponding to the shadow system and the online production business version. Repair the pre-release business production version, and then perform function verification and test regression on the repaired pre-release business production version again, until the comparison and analysis between the pre-release business production version released to the shadow system and the online production business version is normal .

Further, the configuration management information of the shadow system and the online business production version are calculated independently of different cluster characteristics, the deployment service fep-online-app undertakes the online business production version and the business feature calculation service of the shadow system, and the deployment service eep-app undertakes the online business production The production feature calculation and scheduling of the version, deploying the shadow service VRP-eep-app to undertake the production feature scheduling related services of the pre-release business corresponding to the shadow system, deploying the shadow system comparison service vrp-compare to undertake the pre-release business production corresponding to the shadow system The comparison of the production characteristics of the version and the difference of the production characteristics of the production version of the online business.

Referring to Figure 2, it is a flow chart of feature comparison based on the shadow system provided by the embodiment of this specification. First, perform function verification and regression testing on the pre-release business production version. When the function verification and regression verification are normal, release to the shadow system , realize the comparison between the pre-release business production version and the online business production version through the shadow system. Before the comparison, it is necessary to establish an interface communication connection between the shadow system and the online business production version, so that the shadow system can call the online data and production characteristics of the online production business version, and judge the difference between the shadow system and the online business production version. Whether there is a strong dependency between the interfaces, determine whether to use the gray-scale association system. After the communication connection is established, the shadow system turns on the feature drainage switch, calls and runs the production data in the message queue in the online business production version, and extracts the production features of the online business production version, so as to realize the comparison between the pre-release business production version and the The message consumption results, production characteristics, etc. between the online business production versions, finally get a comparison result report, analyze the comparison result report, when the analysis shows that it is normal, release the pre-release business production version to replace the online business production version; when analyzing When an exception is displayed, analyze the cause of the exception, repair the pre-release business production version according to the abnormal reason, and then repeat the above process until the pre-release business production version can be launched. Automatic running and comparison verification, combination of statistics and details, multi-comparison strategy customization and optimization, thus greatly improving the verification efficiency of the pre-release business production version; at the same time, when developing new features and going online, quickly discover the impact of online business production The influence of the production characteristics of the version can avoid the influence on the production characteristic calculation of the production version of the online business and cannot cover the verification findings, thereby avoiding production accidents.

Fig. 3 is a schematic structural diagram of a feature comparison device based on a shadow system provided by an embodiment of this specification, including:

An interface connection module 201, configured to establish a communication interface connection between the shadow system and the online business production version;

An information acquisition module 202, configured to acquire, based on the communication interface, the production characteristics of the pre-release business production version, the business production data of the online business production version, and the production characteristics of the online business production version;

The first running module 203 is configured to run an online business production version based on the business production data to obtain first business result data;

The second running module 204 is configured to run the shadow system based on the production characteristics of the pre-release business production version and the business production data to obtain second business result data;

A comparison module 205, configured to compare the first business result data with the second business result data, compare the production characteristics of the pre-release business production version with the production characteristics of the online business production system, and obtain a first comparison result and second comparison result;

The analysis module 206 is configured to perform difference analysis on the first comparison result and the second comparison result, and process the pre-release service production version according to the difference analysis result.

The test module is used for functional verification and regression testing of the production features of the pre-release business production version;

Further, the interface connection module 201 includes:

Further, the information acquisition module 202 includes:

Further, the analysis module 206 includes:

Further, the analysis module 206 also includes:

The functions of the device in the embodiment of the present invention have been described in the above-mentioned method embodiment, so for details not described in the description of this embodiment, you can refer to the relevant description in the foregoing embodiment, and details are not repeated here.

Based on the same inventive concept, the embodiment of this specification also provides an electronic device.

An electronic device embodiment of the present invention will be described below, and the electronic device can be regarded as a specific physical implementation of the above-mentioned method and device embodiments of the present invention. The details described in the electronic device embodiments of the present invention should be regarded as supplements to the above-mentioned method or device embodiments; for the details not disclosed in the electronic device embodiments of the present invention, it can be implemented by referring to the above-mentioned method or device embodiments.

Referring to FIG. 4 , it is a schematic structural diagram of an electronic device provided by an embodiment of this specification. An electronic device 300 according to this embodiment of the present invention is described below with reference to FIG. 4 . The electronic device 300 shown in FIG. 4 is only an example, and should not limit the functions and application scope of this embodiment of the present invention.

As shown in FIG. 4, electronic device 300 takes the form of a general-purpose computing device. The components of the electronic device 300 may include, but are not limited to: at least one processing unit 310, at least one storage unit 320, a bus 330 connecting different device components (including the storage unit 320 and the processing unit 310), a display unit 340, and the like.

Wherein, the storage unit stores program codes, and the program codes can be executed by the processing unit 310, so that the processing unit 310 executes the processing methods according to various exemplary embodiments of the present invention described in the above processing method section of this specification. step. For example, the processing unit 310 may execute the steps shown in FIG. 1 .

The storage unit 320 may include a readable medium in the form of a volatile storage unit, such as a random access storage unit (RAM) 3201 and/or a cache storage unit 3202 , and may further include a read-only storage unit (ROM) 3203 .

The storage unit 320 may also include a program/utility tool 3204 having a set (at least one) of program modules 3205, such program modules 3205 including but not limited to: an operating device, one or more application programs, other program modules, and program data, each or some combination of these examples may include the realization of the network environment.

Bus 330 may represent one or more of several types of bus structures, including a memory cell bus or memory cell controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local area using any of a variety of bus structures. bus.

The electronic device 300 can also communicate with one or more external devices 400 (such as keyboards, pointing devices, Bluetooth devices, etc.), and can also communicate with one or more devices that enable the user to interact with the electronic device 300, and/or communicate with Any device (eg, router, modem, etc.) that enables the electronic device 300 to communicate with one or more other computing devices. Such communication may occur through input/output (I/O) interface 350 . Moreover, the electronic device 300 can also communicate with one or more networks (such as a local area network (LAN), a wide area network (WAN) and/or a public network such as the Internet) through the network adapter 360 . The network adapter 360 can communicate with other modules of the electronic device 300 through the bus 330 . It should be appreciated that although not shown in FIG. 4, other hardware and/or software modules may be used in conjunction with electronic device 300, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID devices, tape Drives and data backup storage devices, etc.

Through the above description of the implementation manners, those skilled in the art can easily understand that the exemplary embodiments described in the present invention can be implemented by software, or by combining software with necessary hardware. Therefore, the technical solution according to the embodiment of the present invention can be embodied in the form of a software product, and the software product can be stored in a computer-readable storage medium (which can be a CD-ROM, U disk, mobile hard disk, etc.) or on a network , including several instructions to make a computing device (which may be a personal computer, a server, or a network device, etc.) execute the above-mentioned method according to the present invention. When the computer program is executed by a data processing device, the computer-readable medium can realize the above-mentioned method of the present invention, that is, the method as shown in FIG. 1 .

Referring to FIG. 5 , it is a schematic schematic diagram of a computer readable medium provided by an embodiment of this specification.

The computer program implementing the method shown in Figure 1 can be stored on one or more computer readable media. The computer readable medium may be a readable signal medium or a readable storage medium. The readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor device, device, or device, or any combination thereof. More specific examples (non-exhaustive list) of readable storage media include: electrical connection with one or more conductors, portable disk, hard disk, 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 devices, magnetic storage devices, or any suitable combination of the foregoing.

The computer readable storage medium may include a data signal carrying readable program code in baseband or as part of a carrier wave traveling as a data signal. Such propagated data signals may take many forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the foregoing. The readable storage medium may also be any readable medium other than a readable storage medium that can send, propagate or transport a program for use by or in conjunction with an instruction execution device, apparatus or device. The program code contained on the readable storage medium may be transmitted by any suitable medium, including but not limited to wireless, cable, optical cable, RF, etc., or any suitable combination of the above.

Program code for carrying out the operations of the present invention may be written in any combination of one or more programming languages, including object-oriented programming languages—such as Java, C++, etc., as well as conventional procedural programming languages. Programming language - such as "C" or a similar programming language. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server to execute. In cases involving a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computing device (for example, using an Internet service provider). business to connect via the Internet).

To sum up, the present invention can be realized by hardware, or by software modules running on one or more processors, or by a combination thereof. Those skilled in the art should understand that general data processing devices such as microprocessors or digital signal processors (DSPs) can be used in practice to implement some or all functions of some or all components in the embodiments of the present invention. The present invention can also be implemented as an apparatus or an apparatus program (for example, a computer program and a computer program product) for performing a part or all of the methods described herein. Such a program for realizing the present invention may be stored on a computer-readable medium, or may be in the form of one or more signals. Such a signal may be downloaded from an Internet site, or provided on a carrier signal, or provided in any other form.

The specific embodiments described above have further described the purpose, technical solutions and beneficial effects of the present invention in detail. It should be understood that the present invention is not inherently related to any specific computer, virtual device or electronic device, and various general devices are also The present invention can be realized. The above descriptions are only specific embodiments of the present invention, and are not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention shall be included in the scope of the present invention. within the scope of protection.

Each embodiment in this specification is described in a progressive manner, the same and similar parts of each embodiment can be referred to each other, and each embodiment focuses on the differences from other embodiments.

The above descriptions are only examples of the present application, and are not intended to limit the present application. For those skilled in the art, various modifications and changes may occur in this application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included within the scope of the claims of the present application.

Claims

A feature comparison method based on a shadow system, characterized in that it includes:

Establish a communication interface connection between the shadow system and the production version of the online business;

Obtaining the production characteristics of the pre-release business production version, the business production data of the online business production version, and the production characteristics of the online business production version based on the communication interface;

Running an online business production version based on the business production data to obtain first business result data;

Running the shadow system based on the production characteristics of the pre-release business production version and the business production data to obtain second business result data;

Comparing the first business result data with the second business result data, comparing the production characteristics of the pre-release business production version with the production characteristics of the online business production system, and obtaining a first comparison result and a second comparison result respectively ;

A difference analysis is performed on the first comparison result and the second comparison result, and the pre-release service production version is processed according to the difference analysis result.
The feature comparison method based on the shadow system according to claim 1, characterized in that, before establishing the communication interface connection between the shadow system and the online business production version, comprising:

Perform functional verification and regression testing on the production features of the pre-release business production version;

Publishing the pre-release business production version that has passed functional verification and regression testing to the shadow system.
The feature comparison method based on the shadow system according to claim 1, wherein said establishing a communication interface connection between the shadow system and the online business production version comprises:

Judging the interface relationship between the production version of the online business and the shadow system;

When there is a strong dependency relationship between the online business production version and the interface of the shadow system, the shadow system establishes a communication interface connection with the online business production version through a grayscale association system;

When there is no strong dependency relationship between the online service production version and the interface of the shadow system, the shadow system directly establishes a communication interface connection with the online service production version.
The feature comparison method based on the shadow system according to claim 1, wherein the acquisition of the production features of the pre-release business production version, the business production data of the online business production version, and the online business production version based on the communication interface Production characteristics of the release, including:

Using the feature computing center to extract the production features of the pre-release business production version and the production features of the online business production version;

The service production data of the online service production version is invoked through the communication interface.
The feature comparison method based on the shadow system according to claim 1, wherein the processing of the pre-release business production version according to the difference analysis results includes:

When the difference analysis result shows that it is normal, perform production release and production verification on the pre-release business production version, and replace the online business production version.
The feature comparison method based on the shadow system according to claim 1, wherein the processing of the pre-release business production version according to the difference analysis results further includes:

When the difference analysis result shows an abnormality, analyze the abnormality to obtain an abnormal analysis result;

The production feature of the pre-release business production version is repaired according to the abnormality analysis result.
A feature comparison device based on a shadow system, characterized in that it includes:

The interface connection module is used to establish the communication interface connection between the shadow system and the online business production version;

An information acquisition module, configured to acquire, based on the communication interface, the production characteristics of the pre-release business production version, the business production data of the online business production version, and the production characteristics of the online business production version;

A first running module, configured to run an online business production version based on the business production data to obtain first business result data;

A second running module, configured to run the shadow system based on the production characteristics of the pre-release business production version and the business production data, to obtain second business result data;

A comparison module, configured to compare the first business result data with the second business result data, compare the production characteristics of the pre-release business production version with the production characteristics of the online business production system, and obtain first comparison results respectively and the second comparison result;

An analysis module, configured to perform difference analysis on the first comparison result and the second comparison result, and process the pre-release service production version according to the difference analysis result.
The feature comparison device based on the shadow system according to claim 7, characterized in that, before establishing the communication interface connection between the shadow system and the online business production version, comprising:

The test module is used to perform functional verification and regression testing on the production features of the pre-release business production version;

A release module, configured to release the pre-release business production version that has passed functional verification and regression testing to the shadow system.
The feature comparison device based on the shadow system according to claim 7, wherein the interface connection module comprises:

A judging unit, configured to judge the interface relationship between the production version of the online business and the shadow system;

A first interface connection unit, configured to establish a communication interface connection between the shadow system and the online business production version through a grayscale correlation system when there is a strong dependency relationship between the online business production version and the interface of the shadow system;

The second interface connection unit is configured to directly establish a communication interface connection between the shadow system and the online service production version when there is no strong dependency relationship between the interface of the online service production version and the shadow system.
The feature comparison device based on the shadow system according to claim 7, wherein the information acquisition module comprises:

A feature extraction unit, configured to use the feature computing center to extract the production features of the pre-release business production version and the production features of the online business production version;

A data calling unit, configured to call the business production data of the online business production version through the communication interface.
The feature comparison device based on the shadow system according to claim 7, wherein the analysis module comprises:

The version replacement unit is configured to perform production release and production verification on the pre-release business production version, and replace the online business production version when the difference analysis result shows normal.
The feature comparison device based on the shadow system according to claim 7, wherein the analysis module further comprises:

An abnormality analysis unit, configured to analyze the abnormality to obtain an abnormality analysis result when the difference analysis result shows an abnormality;

A version repairing unit, configured to repair the production features of the pre-release business production version according to the abnormality analysis result.
An electronic device, wherein the electronic device includes:

A processor and a memory storing a computer executable program which, when executed, causes the processor to perform the method according to any one of claims 1-6.
A computer-readable storage medium, wherein the computer-readable storage medium stores one or more programs, and when the one or more programs are executed by a processor, the implementation of any one of claims 1-6 Methods.