CN111736853A - Gray scale distribution method, device, equipment and storage medium - Google Patents
Gray scale distribution method, device, equipment and storage medium Download PDFInfo
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Abstract
The invention relates to the technical field of operation and maintenance, and discloses a gray scale publishing method, which comprises the following steps: the method comprises the steps of pre-configuring a gray level publishing strategy of a target publishing object, and receiving an access request sent by a user through a client, wherein the access request comprises the target publishing object and a user identifier; analyzing whether the user is a target user of the target release object or not according to the user identification and the gray release strategy; determining a target server corresponding to the user according to the analysis result; and sending the access request to the target server, receiving target data of the target release object fed back by the target server, and returning the target data to the client. The invention also relates to a blockchain technology, and the gray level issuing strategy can be stored in blockchain nodes. The invention also discloses a gray scale release device, electronic equipment and a computer storage medium. By using the invention, the gray level issuing efficiency can be improved.
Description
Technical Field
The present invention relates to the field of operation and maintenance technologies, and in particular, to a method and an apparatus for issuing a gray level, an electronic device, and a computer-readable storage medium.
Background
The gray release is also called canary release, and refers to a release mode capable of realizing smooth transition between black and white. The specific form of gray release is that a part of users continue to use the product characteristics A of the Internet products (or application programs), a part of users start to use the product characteristics B of the Internet products (or application programs), and if the users do not have any objection to the product characteristics B, the range is gradually expanded, and more users experience the product characteristics B. Therefore, it is important to determine the target user for gray release.
In the existing gray release mode, a remainder operation is performed on an Identity (Identity, abbreviated as ID) of a user carried in a data request sent by a client, and the user whose remainder is a designated number is determined as a target user. Or the user in the specified area is determined as the target user according to an Internet Protocol Address (IP for short) of the user carried in the data request. However, the two methods are coarse in user division granularity, and the obtained target user is not accurate enough.
In addition, the gray monitoring completely depends on manual adjustment, a specially-assigned person is arranged to watch on the real-time value, manual adjustment is carried out according to various data of the gray in the same day, the gray scale proportion completely depends on calculation of management personnel, and production faults can be caused if the calculation is wrong. Due to excessive dependence on manual processing and empirical data, the gray scale is not adjusted timely, the accuracy is poor, and the risk is high; the gray monitoring personnel have heavy work load and large labor cost.
In addition, the existing gray scale publishing scheme has the following disadvantages: 1. operation and maintenance personnel are required to participate and manually deploy, and a large error probability exists; 2. the supported gray strategies are single, and various gray strategies are not supported; 3. advanced features such as intelligent interception and current limiting are not supported.
Disclosure of Invention
In view of the above, the present invention provides a gradation issuing method, apparatus, electronic device, and computer-readable storage medium, and a main object thereof is to improve the efficiency of gradation issuing.
In order to achieve the above object, the present invention provides a gray scale issuing method, including:
the method comprises the following steps of configuring a gray scale release strategy of a target release object in advance, wherein the gray scale release strategy comprises the following steps: the method comprises the following steps of (1) obtaining a plurality of gray scale release rules, priorities of the gray scale release rules and user matching conditions corresponding to the gray scale release rules;
receiving an access request sent by a user through a client, wherein the access request comprises a target issuing object and a user identifier;
analyzing whether the user is a target user of the target release object or not according to the user identification and the gray release strategy;
when the user is a target user of the target publishing object, taking a first server as a target server corresponding to the user, and when the user is not the target user of the target publishing object, taking a second server as the target server corresponding to the user; and
and sending the access request to the target server, receiving target data of the target release object fed back by the target server, and returning the target data to the client.
Further, to achieve the above object, the present invention also provides a gradation issuing apparatus comprising:
the configuration module is used for configuring a gray level publishing strategy of a target publishing object in advance;
the system comprises a receiving module, a sending module and a receiving module, wherein the receiving module is used for receiving an access request sent by a user through a client, and the access request comprises a target issuing object and a user identifier;
the judging module is used for analyzing whether the user is a target user of the target issuing object or not according to the user identification and the gray level issuing strategy;
the confirmation module is used for taking a first server as a target server corresponding to the user when the user is a target user of the target publishing object, and taking a second server as a target server corresponding to the user when the user is not the target user of the target publishing object; and
and the issuing module is used for sending the access request to the target server, receiving the target data of the target issuing object fed back by the target server and returning the target data to the client.
Further, to achieve the above object, the present invention also provides an electronic apparatus, including: the system comprises a memory and a processor, wherein the memory stores a gray scale distribution program which can run on the processor, and the gray scale distribution program can realize any step of the gray scale distribution method when being executed by the processor.
Further, to achieve the above object, the present invention also provides a computer-readable storage medium including a gradation issuing program, which, when executed by a processor, can implement any of the steps in the gradation issuing method as described above.
Compared with a single gray scale release rule, the gray scale release method, the gray scale release device, the electronic equipment and the computer readable storage medium provided by the invention are more in line with actual needs, and improve gray scale release efficiency and user experience; in the process of determining the target user, different target user matching conditions are sequentially called according to the priority order to determine whether the current user is the target user, the target user determined by the method is more representative, and the problem of inaccuracy of the target user caused by rough granularity of division of the target user is avoided; when the abnormal rate of the target issuing object is calculated, the abnormal rate is calculated according to the granularity of the gray level issuing rule, then the comprehensive abnormal rate of the target issuing object is comprehensively calculated, the accuracy of the abnormal rate of the target issuing object is improved, and the efficiency of gray level issuing is improved.
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FIG. 1 is a schematic diagram of an alternative application environment according to various embodiments of the present invention;
FIG. 2 is a diagram of an alternative hardware architecture of the electronic device of the present invention;
FIG. 3 is a flowchart illustrating a gray level distribution method according to a first embodiment of the present invention;
FIG. 4 is a flowchart illustrating the steps of a gray level distribution method according to a second embodiment of the present invention;
fig. 5 is a block diagram of a gray scale display device according to a preferred embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the description relating to "first", "second", etc. in the present invention is for descriptive purposes only and is not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In addition, technical solutions between various embodiments may be combined with each other, but must be realized by a person skilled in the art, and when the technical solutions are contradictory or cannot be realized, such a combination should not be considered to exist, and is not within the protection scope of the present invention.
Referring to fig. 1, a schematic diagram of an alternative application environment according to various embodiments of the present invention is shown.
In the embodiment, the present invention can be applied to an application environment including, but not limited to, the client 1, the electronic device 2, the first server 3 and the second server 4. The client 1 may be a terminal device of a mobile phone, a smart phone, a desktop computer, a notebook computer, a PAD (tablet computer), and the like. The electronic device 2 may be a server, a smart phone, a tablet computer, a portable computer, a desktop computer, or other terminal device having a data processing function. The first server 3 and the second server 4 may be rack servers, blade servers, tower servers, or cabinet servers. The client 1, the electronic device 2, the first server 3 and the second server 4 perform data transmission through a network (not shown). The network may be a wireless or wired network such as an Intranet (Intranet), the Internet (Internet), a global system for Mobile communications (GSM), Wideband Code Division Multiple Access (WCDMA), a 4G network, a 5G network, Bluetooth (Bluetooth), Wi-Fi, or a communication network.
The electronic device 2 is in communication connection with one or more of the clients 1 (only one is shown in the figure), the first server 3 and the second server 4 through the network 3, and a client application corresponding to the electronic device 2 is installed and operated in each of the clients 1. The client application is configured to respond to an operation of a client user, and create a connection between the client application and the electronic device 2, so that the client application can perform data transmission and interaction with the electronic device 2.
In this embodiment, when the gray scale publishing program 20 is installed and operated in the electronic device 2, and when the gray scale publishing program 20 is operated, the electronic device 2 configures a gray scale publishing policy of a target publishing object in advance, detects access request information sent by a client user, queries the gray scale publishing policy when receiving the access request information, further determines whether a user is a target user, sends an access request to the first server 3 or the first server 4 according to a determination result, and receives target data returned by the first server 3 or the first server 4.
The invention provides an electronic device 2.
Referring to fig. 2, a schematic diagram of an alternative hardware architecture of the electronic device 2 according to the present invention is shown.
In the present embodiment, the application electronic device 2 may include, but is not limited to, a memory 21, a processor 22, and a network interface 23, which are communicatively connected to each other through a system bus.
The memory 21 includes at least one type of readable storage medium, which includes a flash memory, a hard disk, a multimedia card, a card type memory (e.g., SD or DX memory, etc.), a magnetic memory, a magnetic disk, an optical disk, and the like. The memory 21 may in some embodiments be an internal storage unit of the electronic device 2, for example a hard disk of the electronic device 2. The memory 21 may also be an external storage device of the electronic device 2 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 electronic device 2. Further, the memory 21 may also include both an internal storage unit and an external storage device of the electronic device 2.
The memory 21 may be used not only to store application software installed in the electronic device 2 and various types of data, such as the gradation issuing program 20, but also to temporarily store data that has been output or is to be output.
The processor 22 may be, in some embodiments, a Central Processing Unit (CPU), controller, microcontroller, microprocessor or other data Processing chip for running program codes stored in the memory 21 or Processing data, such as the gray scale publishing program 20.
The network interface 23 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface), and is typically used to establish a communication link between the electronic device 2 and another electronic device, such as a client (not shown).
It is noted that fig. 2 only shows the electronic device 2 with the components 21-23, and it will be understood by a person skilled in the art that the structure shown in fig. 2 does not constitute a limitation of the electronic device 2, and may comprise fewer or more components than shown, or a combination of certain components, or a different arrangement of components.
Optionally, the electronic device 2 may further comprise a user interface, the user interface may comprise a Display (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface may further comprise a standard wired interface, a wireless interface.
Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an Organic Light-Emitting Diode (OLED) touch screen, or the like. The display, which may also be referred to as a display screen or display unit, is used for displaying information processed in the electronic device 2 and for displaying a visualized user interface.
In the embodiment of the electronic device 2 shown in fig. 2, the memory 21 as a kind of computer storage medium stores the program code of the gray scale issuing program 20, and when the processor 22 executes the program code of the gray scale issuing program 20, the following steps are implemented:
step A1, pre-configuring a gray scale distribution strategy of a target distribution object, wherein the gray scale distribution strategy comprises: the user matching conditions comprise a plurality of gray scale distribution rules, priorities of the gray scale distribution rules and the user matching conditions corresponding to the gray scale distribution rules.
The target release object may be any new software product released on the internet, or may be a certain functional module in the software product, for example, a new interface color of the software product, a sharing function newly added by an application program, a mode of approval, a mode of paying attention to a friend, and the like, and the new product characteristics specifically refer to what contents are not limited here.
Before the target issuing object is subjected to gray scale issuing, a gray scale issuing manager sets a gray scale issuing policy, which includes a plurality of gray scale issuing rules, a plurality of user matching conditions (i.e., gray scale issuing ranges), and priorities.
It is emphasized that, in order to further ensure the privacy and security of the gray-scale distribution strategy, the gray-scale distribution strategy can also be stored in a node of a block chain.
In this embodiment, the policy supports multiple gray scale release rules simultaneously, including: switching according to a white list, switching according to flow, switching according to regions and switching according to mechanisms; wherein:
1) switching according to a white list:
the method comprises the steps that a white list for gray scale release is preset, for example, the white list is a tester list, the tester can be used as a target user of a target release object in the white list, of course, besides the tester, an online user with high loyalty to the target release object can be used as a release user of the target object in the white list, the user in the white list is preferentially selected for gray scale release, and intelligent switching is carried out according to an internal test result;
user matching conditions are as follows: and (5) white list.
2) Switching according to the flow:
presetting a user proportion of gray release, randomly distributing some requests to a gray environment by a system, and distributing the rest requests to a formal environment, such as distributing 5% of flow to gray and distributing 95% of flow to the formal environment;
user matching conditions are as follows: the old users are limited, and the number of the current gray-level users does not exceed 5% of the user group.
3) Switching according to regions:
presetting a gray release area, and performing gray verification and intelligent switching according to an account number or an affiliated area of a user;
user matching conditions are as follows: and (4) a target geographic position area (determining the area to which the user belongs according to the IP address, and judging whether the area to which the user belongs is matched with the target geographic position area).
4) Switching by a given enterprise user (e.g., organization):
the mechanism for gray scale distribution is set in advance, for example, the 211 mechanism verifies the information in advance, and distributes the information to the national institution after the information is verified to be free from problems.
User matching conditions are as follows: and issuing a list according to the gray level generated by the specified enterprise user.
After the gray scale release rules are determined, priorities corresponding to the gray scale release rules are set, for example, switching according to a white list, switching according to flow, switching according to regions and switching according to mechanisms.
And determining a mapping relation according to the different gray scale release rules, the priorities and the user matching conditions, generating mapping data and storing the mapping data to a preset storage path. It should be noted that the priorities of different gray-scale distribution rules and the user matching conditions can be adjusted according to actual requirements.
Step A2, receiving an access request sent by a user through a client, wherein the access request comprises a target issuing object and a user identification.
In this embodiment, the client is installed with a client application, and the current user operates through the application on the client to send an access request.
The user identifier uniquely indicates a user, and may be information that can reflect the user identity, such as a contact way, a social account, a client machine code (i.e., a machine identification code, which can be obtained by hashing a network card address or an IMEI code of a machine and is carried by the machine itself), a user IP, and the like of the user. The user identifier may also be account information registered in the application program by the user, such as an account name.
Step A3, analyzing whether the user is the target user of the target issuing object according to the user identification and the gray level issuing strategy.
After receiving an access request of a target release object sent by a current user, it needs to be judged whether the user is a target user of the target release object. Specifically, the analyzing whether the user is a target user of the target publishing object according to the user identifier and the gray level publishing policy includes:
a1. acquiring priorities and user matching conditions corresponding to the gray scale release rules from the gray scale release strategy;
a2. calling a user matching condition corresponding to the gray release rule with the highest priority in the gray release strategy as a target user matching condition;
a3. matching the user identification and the target user matching condition;
a4. if the matching is successful, determining that the gray scale release rule corresponding to the target user matching condition is the target gray scale release rule corresponding to the user, and determining that the user is the target user corresponding to the target gray scale release rule;
a5. if the matching fails, judging whether an un-called user matching condition exists in the gray scale release strategy, if so, selecting the user matching condition with the priority next to the target user matching condition as the next target user matching condition, returning to execute a3, and if not, executing a 6;
a6. and judging that the user is not the target user of the target issuing object.
For example, the gray scale distribution strategy configured in advance in step a1 includes:
gray release rule X1-priority 1-user match condition X1;
gray release rule X2-priority 2-user match condition X2;
gray release rule X3-priority 3-user match condition X3;
grey release rule X4-priority 4-user match condition X4.
According to the mapping data, determining the calling sequence of the matching conditions as follows in sequence: user matching condition X1 > user matching condition X2 > user matching condition X3 > user matching condition X4. And sequentially calling the target matching conditions and the user identification of the current user according to the calling sequence for matching, if the matching is successful, determining that the current user is the target user of the gray scale release rule corresponding to the successfully matched user matching conditions, executing the next step of determining a target server, if the matching is failed, calling the next target matching condition for matching, and if all the user matching conditions are failed to match, judging that the current user is not the target user.
Step a4, when the user is a target user of the target publishing object, taking the first server as a target server corresponding to the user, and when the user is not the target user of the target publishing object, taking the second server as a target server corresponding to the user.
In this embodiment, the first server stores gray-scale version data of a target distribution object, and the second server stores original version data of the target distribution object.
In other embodiments, the first server includes a plurality of servers, and when a target server corresponding to a target user is determined, the real-time load of each server in the first server is calculated, and the server with the smallest load is selected as the target server of the current user; similarly, the second server comprises a plurality of servers, when the target server corresponding to the non-target user is determined, the real-time load of each server in the second server is calculated, and the server with the minimum load is selected as the target server of the current user.
Step A5, sending the access request to the target server, receiving the target data of the target publishing object fed back by the target server, and returning the target data to the client.
And after receiving the access request, the target server responds to the request and returns target object data corresponding to the access request. For example, if the current user is a target user, the first target data, that is, the grayscale version data of the target release object, is returned, and if the current user is not a target user, the second target data, that is, the original version data of the target release object, is returned.
And the client side receives the returned target data and then installs or updates the target data.
In other embodiments, the gray scale issuance policy further includes: and the same or different gray scale distribution contents correspond to different gray scale distribution rules.
For example, the tone distribution rule X1 may correspond one-to-one to the tone distribution content Y1 of the application level, the tone distribution rule X3 and the tone distribution rule X4 may correspond to the tone distribution content Y3 of the application level, the tone distribution rule X4 may correspond to the tone distribution content Y2 of the application level, and the tone distribution rule X2 may correspond to the tone distribution content Y2 of the application level.
By establishing the mapping relationship between the gray scale release rule, the priority, the user matching condition and the gray scale release content, and then, when determining the target data, according to the mapping relationship between the gray scale release rule and the gray scale release content, the gray scale release content corresponding to the gray scale release rule corresponding to the target user is used as the target data returned to the target user, which is not described herein again.
In other embodiments, when the processor 22 executes the program code of the gray release program 20, the following steps are further implemented:
step A6, receiving feedback information sent by all target users through the client based on the target data, and respectively calculating abnormal rates corresponding to the gray scale release rules in the gray scale release strategy according to the feedback information;
a step a7 of calculating a total abnormality rate of the target distribution object based on the abnormality rates corresponding to the plurality of gray scale distribution rules; and
step A8, when the comprehensive abnormal rate of the target release object is less than or equal to a preset threshold value, updating the user matching conditions corresponding to the gray release rules; and when the comprehensive abnormal rate of the target release object is greater than a preset threshold value, suspending gray release or rolling back the version.
It can be understood that when the target user uses the target release object in the grayscale version, the feedback information is sent to the target server, and the feedback information includes: service normal/service abnormal.
Firstly, taking the gray scale distribution rule as the granularity, calculating the abnormal rate of the target distribution object corresponding to the gray scale distribution rule, taking the gray scale distribution rule X1 as an example, acquiring the feedback information of all target users corresponding to the gray scale distribution rule X1, and calculating the abnormal rate EX1 corresponding to the gray scale distribution rule X1, wherein the calculation formula is as follows:
EX1＝NX1/TX1
wherein, NX1 represents that the feedback information of the gray scale distribution rule X1 is the number of the service abnormality, and TX1 represents the total amount of the target users corresponding to the gray scale distribution rule X1. The default is that the service is normal when the feedback information is not sent.
Then, the corresponding weight is determined according to the priority of each gray scale distribution rule, for example, the weights in the order of priority from high to low are: 0.35, 0.3, 0.25 and 0.1, and the weight can be adjusted according to actual conditions.
And finally, comprehensively calculating the comprehensive abnormal rate E corresponding to each gray level release rule, wherein the calculation formula is as follows:
E＝γi*EXi
where γ i represents a weight corresponding to the ith tone distribution rule, and EXi represents an abnormality rate corresponding to the ith tone distribution rule.
It can be understood that when the comprehensive abnormal rate is less than or equal to the preset threshold, the gray scale version is basically satisfied with the requirement, so that the range of gray scale distribution can be expanded, and the user matching condition needs to be updated. The number of users of the updated user matching condition is larger than that of the users of the user matching condition before updating. When the comprehensive abnormal rate is larger than the preset threshold value, the gray level version has obvious problems, the gray level release can be selected to stop, and the gray level release is carried out again after the problems are well processed, or the version is rolled back.
The invention also provides a gray scale publishing method. The method may be performed by an electronic device, which may be implemented by software and/or hardware.
Referring to fig. 3, a flowchart of a gray level distribution method according to a first embodiment of the present invention is shown.
In this embodiment, the gray scale issuing method includes: step S1-step S5.
Step S1, pre-configuring a gray scale distribution policy of a target distribution object, the gray scale distribution policy including: the user matching conditions comprise a plurality of gray scale distribution rules, priorities of the gray scale distribution rules and the user matching conditions corresponding to the gray scale distribution rules.
The target release object may be any new software product released on the internet, or may be a certain functional module in the software product, for example, a new interface color of the software product, a sharing function newly added by an application program, a mode of approval, a mode of paying attention to a friend, and the like, and the new product characteristics specifically refer to what contents are not limited here.
Before the target issuing object is subjected to gray scale issuing, a gray scale issuing manager sets a gray scale issuing policy, which includes a plurality of gray scale issuing rules, a plurality of user matching conditions (i.e., gray scale issuing ranges), and priorities.
It is emphasized that, in order to further ensure the privacy and security of the gray-scale distribution strategy, the gray-scale distribution strategy can also be stored in a node of a block chain.
In this embodiment, the policy supports multiple gray scale release rules simultaneously, including: switching according to a white list, switching according to flow, switching according to regions and switching according to mechanisms; wherein:
1) switching according to a white list:
the method comprises the steps that a white list for gray scale release is preset, for example, the white list is a tester list, the tester can be used as a target user of a target release object in the white list, of course, besides the tester, an online user with high loyalty to the target release object can be used as a target user of the target release object in the white list, the user in the white list is preferentially selected for gray scale release, and intelligent switching is carried out according to an internal test result;
user matching conditions are as follows: and (5) white list.
2) Switching according to the flow:
presetting a user proportion of gray release, randomly distributing some requests to a gray environment by a system, and distributing the rest requests to a formal environment, such as distributing 5% of flow to gray and distributing 95% of flow to the formal environment;
user matching conditions are as follows: the old users are limited, and the number of the current gray-level users does not exceed 5% of the user group.
3) Switching according to regions:
presetting a gray release area, and performing gray verification and intelligent switching according to an account number or an affiliated area of a user;
user matching conditions are as follows: and (4) a target geographic position area (determining the area to which the user belongs according to the IP address, and judging whether the area to which the user belongs is matched with the target geographic position area).
4) Switching by a given enterprise user (e.g., organization):
the mechanism for gray scale distribution is set in advance, for example, the 211 mechanism verifies the information in advance, and distributes the information to the national institution after the information is verified to be free from problems.
User matching conditions are as follows: and issuing a list according to the gray level generated by the specified enterprise user.
After the gray scale release rules are determined, priorities corresponding to the gray scale release rules are set, for example, switching according to a white list, switching according to flow, switching according to regions and switching according to mechanisms.
And determining a mapping relation according to the different gray scale release rules, the priorities and the user matching conditions, generating mapping data and storing the mapping data to a preset storage path. It should be noted that the priorities of different gray-scale distribution rules and the user matching conditions can be adjusted according to actual requirements.
Step S2, receiving an access request sent by a user through a client, where the access request includes a target publishing object and a user identifier.
In this embodiment, the client is installed with a client application, and the current user operates through the application on the client to send an access request.
The user identifier uniquely indicates a user, and may be information that can reflect the user identity, such as a contact way, a social account, a client machine code (i.e., a machine identification code, which can be obtained by hashing a network card address or an IMEI code of a machine and is carried by the machine itself), a user IP, and the like of the user. The user identifier may also be account information registered in the application program by the user, such as an account name.
In order to intercept the malicious access request, in other embodiments, before step S2, the grayscale issuing method further includes:
acquiring token information carried by the access request, and judging the legality of the user token information carried by the access request;
when the user token information is legal, judging that the access request is a legal request, and executing step S2; and
and when the user token information is illegal, judging that the access request is an illegal request, and intercepting the access request.
By intelligently intercepting the illegal request, the system is prevented from being maliciously attacked, and the stability of the system is improved.
And step S3, analyzing whether the user is the target user of the target issuing object or not according to the user identification and the gray level issuing strategy.
After receiving an access request of a target release object sent by a current user, it needs to be judged whether the user is a target user of the target release object. Specifically, the analyzing whether the user is a target user of the target publishing object according to the user identifier and the gray level publishing policy includes:
a1. acquiring priorities and user matching conditions corresponding to the gray scale release rules from the gray scale release strategy;
a2. calling a user matching condition corresponding to the gray release rule with the highest priority in the gray release strategy as a target user matching condition;
a3. matching the user identification and the target user matching condition;
a4. if the matching is successful, determining that the gray scale release rule corresponding to the target user matching condition is the target gray scale release rule corresponding to the user, and determining that the user is the target user corresponding to the target gray scale release rule;
a5. if the matching fails, judging whether an un-called user matching condition exists in the gray scale release strategy, if so, selecting the user matching condition with the priority next to the target user matching condition as the next target user matching condition, returning to execute a3, and if not, executing a 6;
a6. and judging that the user is not the target user of the target issuing object.
For example, the gradation issuance policy configured in advance in step S1 includes:
gray release rule X1-priority 1-user match condition X1;
gray release rule X2-priority 2-user match condition X2;
gray release rule X3-priority 3-user match condition X3;
grey release rule X4-priority 4-user match condition X4.
According to the mapping data, determining the calling sequence of the matching conditions as follows in sequence: user matching condition X1 > user matching condition X2 > user matching condition X3 > user matching condition X4. And sequentially calling the target matching conditions and the user identification of the current user according to the calling sequence for matching, if the matching is successful, determining that the current user is the target user of the gray scale release rule corresponding to the successfully matched user matching conditions, executing the next step of determining a target server, if the matching is failed, calling the next target matching condition for matching, and if all the user matching conditions are failed to match, judging that the current user is not the target user.
Step S4, when the user is a target user of the target publishing object, the first server is used as a target server corresponding to the user, and when the user is not a target user of the target publishing object, the second server is used as a target server corresponding to the user.
In this embodiment, the first server stores gray-scale version data of a target distribution object, and the second server stores original version data of the target distribution object.
In other embodiments, the first server includes a plurality of servers, and when a target server corresponding to a target user is determined, the real-time load of each server in the first server is calculated, and the server with the smallest load is selected as the target server of the current user; similarly, the second server comprises a plurality of servers, when the target server corresponding to the non-target user is determined, the real-time load of each server in the second server is calculated, and the server with the minimum load is selected as the target server of the current user.
Step S5, sending the access request to the target server, receiving the target data of the target publishing object fed back by the target server, and returning the target data to the client.
And after receiving the access request, the target server responds to the request and returns target object data corresponding to the access request. For example, if the current user is a target user, the first target data, that is, the grayscale version data of the target release object, is returned, and if the current user is not a target user, the second target data, that is, the original version data of the target release object, is returned.
And the client side receives the returned target data and then installs or updates the target data.
In order to further improve the efficiency of the gray scale publishing, in another embodiment, the sending the access request to the target server includes:
calculating the comprehensive load rate of the target server in real time, and acquiring a load rate threshold of the target server, wherein the load rate threshold is related to the number of servers; and
and when the comprehensive load rate exceeds the load rate threshold, generating capacity expansion prompt information and feeding the capacity expansion prompt information back to a preset terminal.
The preset terminal is a terminal device used by operation and maintenance personnel, and the operation and maintenance personnel can perform capacity expansion processing on the server after receiving the capacity expansion prompt information.
In this embodiment, different numbers of servers correspond to different load rate thresholds. For example, taking the target server as the first server as an example, when the first number of servers is 1, the load rate threshold is 80%, when the first number of servers is 2, the load rate threshold is 85%, when the first number of servers is 3, the load rate threshold is 90%, and when the first number of servers is 4, the load rate threshold is 95%, …. By setting different load rate thresholds and flow monitoring, the capacity expansion reminding is more in line with the actual situation, the capacity expansion reminding can be more timely sent out, and the system stability is ensured.
In other embodiments, the gray scale issuance policy further includes: and the same or different gray scale distribution contents correspond to different gray scale distribution rules.
For example, the tone distribution rule X1 may correspond one-to-one to the tone distribution content Y1 of the application level, the tone distribution rule X3 and the tone distribution rule X4 may correspond to the tone distribution content Y3 of the application level, the tone distribution rule X4 may correspond to the tone distribution content Y2 of the application level, and the tone distribution rule X2 may correspond to the tone distribution content Y2 of the application level.
By establishing the mapping relationship between the gray scale release rule, the priority, the user matching condition and the gray scale release content, and then, when determining the target data, according to the mapping relationship between the gray scale release rule and the gray scale release content, the gray scale release content corresponding to the gray scale release rule corresponding to the target user is used as the target data returned to the target user, which is not described herein again.
Fig. 4 is a flowchart showing the steps of the second embodiment of the gray scale distribution method according to the present invention.
In the present embodiment, the gradation issuance method includes steps S1 to S8. The specific implementation of steps S1-S5 is substantially the same as that of the first embodiment, and will not be described herein.
Step S6, receiving feedback information sent by all target users through the client based on the target data, and respectively calculating abnormal rates corresponding to the gray scale release rules in the gray scale release strategy according to the feedback information;
step S7, calculating a total abnormality rate of the target distribution object based on the abnormality rates corresponding to the plurality of gray scale distribution rules; and
step S8, when the comprehensive abnormal rate of the target release object is less than or equal to a preset threshold value, updating the user matching conditions corresponding to the gray release rules; and when the comprehensive abnormal rate of the target release object is greater than a preset threshold value, suspending gray release or rolling back the version.
It can be understood that when the target user uses the target release object in the grayscale version, the feedback information is sent to the target server, and the feedback information includes: service normal/service abnormal.
Firstly, taking the gray scale distribution rule as the granularity, calculating the abnormal rate of the target distribution object corresponding to the gray scale distribution rule, taking the gray scale distribution rule X1 as an example, acquiring the feedback information of all target users corresponding to the gray scale distribution rule X1, and calculating the abnormal rate EX1 corresponding to the gray scale distribution rule X1, wherein the calculation formula is as follows:
EX1＝NX1/TX1
wherein, NX1 represents that the feedback information of the gray scale distribution rule X1 is the number of the service abnormality, and TX1 represents the total amount of the target users corresponding to the gray scale distribution rule X1. The default is that the service is normal when the feedback information is not sent.
Then, the corresponding weight is determined according to the priority of each gray scale distribution rule, for example, the weights in the order of priority from high to low are: 0.35, 0.3, 0.25 and 0.1, and the weight can be adjusted according to actual conditions.
And finally, comprehensively calculating the comprehensive abnormal rate E corresponding to each gray level release rule, wherein the calculation formula is as follows:
E＝γi*EXi
where γ i represents a weight corresponding to the ith tone distribution rule, and EXi represents an abnormality rate corresponding to the ith tone distribution rule.
It can be understood that when the comprehensive abnormal rate is less than or equal to the preset threshold, the gray scale version is basically satisfied with the requirement, so that the range of gray scale distribution can be expanded, and the user matching condition needs to be updated. The number of users of the updated user matching condition is larger than that of the users of the user matching condition before updating. When the comprehensive abnormal rate is larger than the preset threshold value, the gray level version has obvious problems, the gray level release can be selected to stop, and the gray level release is carried out again after the problems are well processed, or the version is rolled back.
The gray scale publishing method provided by the embodiment is characterized in that a gray scale publishing strategy supporting diversified gray scale publishing rules is configured in advance, and compared with a single gray scale publishing rule, the gray scale publishing method provided by the embodiment of the invention better meets the actual requirement, and improves the gray scale publishing efficiency and the user experience; in the process of determining the target user, different target user matching conditions are sequentially called according to the priority order to determine whether the current user is the target user, the target user determined by the method is more representative, and the problem of inaccuracy of the target user caused by rough granularity of division of the target user is avoided; when the abnormal rate of the target issuing object is calculated, the abnormal rate is calculated according to the granularity of the gray level issuing rule, then the comprehensive abnormal rate of the target issuing object is comprehensively calculated, the accuracy of the abnormal rate of the target issuing object is improved, and the efficiency of gray level issuing is improved.
The invention also provides a gray scale issuing device.
Referring to fig. 5, a block diagram of a preferred embodiment of the gray scale releasing apparatus of the present invention is shown.
The gray scale issuing device 10 according to the present embodiment may include, according to the implemented functions: module 110-module 150. A module according to the present invention, which may also be referred to as a unit, refers to a series of computer program segments that can be executed by a processor of an electronic device and that can perform a fixed function, and that are stored in a memory of the electronic device.
In an embodiment of the gray scale releasing apparatus 10 of the present invention, the functions of each module/unit are as follows:
a configuration module 110, configured to pre-configure a gray level publishing policy of a target publishing object;
a receiving module 120, configured to receive an access request sent by a user through a client, where the access request includes a target publishing object and a user identifier;
a judging module 130, configured to analyze whether the user is a target user of the target publishing object according to the user identifier and the grayscale publishing policy;
a confirmation module 140, configured to, when the user is a target user of the target publishing object, use a first server as a target server corresponding to the user, and when the user is not the target user of the target publishing object, use a second server as a target server corresponding to the user; and
the publishing module 150 is configured to send the access request to the target server, receive target data of the target publishing object fed back by the target server, and return the target data to the client.
The functions or operational steps performed by the modules 110-150 are similar to those described above and will not be described in detail herein.
In addition, an embodiment of the present invention further provides a computer-readable storage medium, where the computer-readable storage medium includes a gray scale publishing program 20, and when being executed by a processor, the gray scale publishing program 20 implements any step of the gray scale publishing method. The specific implementation of the computer-readable storage medium of the present invention is substantially the same as the above method embodiments, and is not repeated herein.
Further, the integrated modules/units of the electronic device 2 may be stored in a computer readable storage medium if they are implemented in the form of software functional units and sold or used as separate products. The computer-usable storage medium may store an operating system, an application program required for at least one function, such as the gradation issuance program 20. The computer-readable medium may include: any entity or device capable of carrying said computer program code, recording medium, U-disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM).
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, apparatus, article, or method that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, apparatus, article, or method. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, apparatus, article, or method that includes the element.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) as described above and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
The block chain is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, a consensus mechanism, an encryption algorithm and the like. A block chain (Blockchain), which is essentially a decentralized database, is a series of data blocks associated by using a cryptographic method, and each data block contains information of a batch of network transactions, so as to verify the validity (anti-counterfeiting) of the information and generate a next block. The blockchain may include a blockchain underlying platform, a platform product service layer, an application service layer, and the like.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A gray scale issuing method applied to an electronic device, the method comprising:
the method comprises the following steps of configuring a gray scale release strategy of a target release object in advance, wherein the gray scale release strategy comprises the following steps: the method comprises the following steps of (1) obtaining a plurality of gray scale release rules, priorities of the gray scale release rules and user matching conditions corresponding to the gray scale release rules;
receiving an access request sent by a user through a client, wherein the access request comprises a target issuing object and a user identifier;
analyzing whether the user is a target user of the target release object or not according to the user identification and the gray release strategy;
when the user is a target user of the target publishing object, taking a first server as a target server corresponding to the user, and when the user is not the target user of the target publishing object, taking a second server as the target server corresponding to the user; and
and sending the access request to the target server, receiving target data of the target release object fed back by the target server, and feeding back the target data to the client.
2. The gray scale publishing method according to claim 1, wherein the analyzing whether the user is a target user of the target publishing object according to the user identifier and the gray scale publishing policy comprises:
a1. acquiring priorities and user matching conditions corresponding to the gray scale release rules from the gray scale release strategy;
a2. calling a user matching condition corresponding to the gray release rule with the highest priority in the gray release strategy as a target user matching condition;
a3. matching the user identification and the target user matching condition;
a4. if the matching is successful, determining that the gray scale release rule corresponding to the target user matching condition is the target gray scale release rule corresponding to the user, and determining that the user is the target user corresponding to the target gray scale release rule;
a5. if the matching fails, judging whether an un-called user matching condition exists in the gray scale release strategy, if so, selecting the user matching condition with the priority next to the target user matching condition as the next target user matching condition, returning to execute a3, and if not, executing a 6;
a6. and judging that the user is not the target user of the target issuing object.
3. The gray scale publishing method of claim 1, wherein sending the access request to the target server comprises:
calculating the comprehensive load rate of the target server in real time, and acquiring a load rate threshold of the target server, wherein the load rate threshold is related to the number of servers; and
and when the comprehensive load rate exceeds the load rate threshold, generating capacity expansion prompt information and feeding the capacity expansion prompt information back to a preset terminal.
4. A gradation issuance method according to claim 1, wherein the first server stores therein gradation version data of the target issuance object, and the second server stores therein original version data of the target issuance object.
5. The gray scale publishing method according to any one of claims 1 to 4, wherein the gray scale publishing strategy further comprises: and the same or different gray scale distribution contents correspond to different gray scale distribution rules.
6. A gray scale publishing method according to any one of claims 1 to 4, wherein before receiving an access request issued by a user through a client, the method further comprises:
acquiring token information carried by the access request, and judging the legality of the user token information carried by the access request;
when the user token information is legal, judging that the access request is a legal request, and receiving the access request sent by a user through a client; and
and when the user token information is illegal, judging that the access request is an illegal request, and intercepting the access request.
7. A gray scale publishing method according to claim 1, further comprising:
receiving feedback information sent by all target users through the client based on the target data, and respectively calculating abnormal rates corresponding to the gray scale release rules in the gray scale release strategy according to the feedback information;
calculating the comprehensive abnormal rate of the target issuing object based on the abnormal rates corresponding to the gray level issuing rules; and
and when the comprehensive abnormal rate of the target release object is smaller than or equal to a preset threshold value, updating the user matching conditions corresponding to the gray release rules, and when the comprehensive abnormal rate of the target release object is larger than the preset threshold value, suspending gray release or rolling back the version.
8. A gradation issuance apparatus, characterized by comprising:
the configuration module is used for configuring a gray level publishing strategy of a target publishing object in advance;
the system comprises a receiving module, a sending module and a receiving module, wherein the receiving module is used for receiving an access request sent by a user through a client, and the access request comprises a target issuing object and a user identifier;
the judging module is used for analyzing whether the user is a target user of the target issuing object or not according to the user identification and the gray level issuing strategy;
the confirmation module is used for taking a first server as a target server corresponding to the user when the user is a target user of the target publishing object, and taking a second server as a target server corresponding to the user when the user is not the target user of the target publishing object; and
and the issuing module is used for sending the access request to the target server, receiving the target data of the target issuing object fed back by the target server and returning the target data to the client.
9. An electronic device, characterized in that the device comprises a memory and a processor, wherein the memory stores a gray scale distribution program operable on the processor, and the gray scale distribution program, when executed by the processor, implements the steps of the gray scale distribution method according to any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium includes a gray-scale distribution program, and when the gray-scale distribution program is executed by a processor, the steps of the gray-scale distribution method according to any one of claims 1 to 7 can be implemented.
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| CN114125067A (en) * | 2021-02-10 | 2022-03-01 | 北京沃东天骏信息技术有限公司 | Front-end and back-end separated gray scale publishing method, front-end server and configuration server |
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