CN114401187B - Gray scale issuing method, device, computer equipment and storage medium - Google Patents
Gray scale issuing method, device, computer equipment and storage medium Download PDFInfo
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Abstract
The application relates to a gray level publishing method, a gray level publishing device, a gray level publishing computer device, a gray level publishing storage medium and a gray level publishing computer program product, and can be used in the technical field of artificial intelligence. The method comprises the following steps: acquiring a service processing request sent to a target server; determining a processing server corresponding to the service processing request according to pre-configured gray release configuration information corresponding to the target server; the processing server is a normal server or a gray server; and sending the service processing request to a corresponding processing server, so that the processing server processes the service processing request. By adopting the method, the gray level release can be automatically realized according to the pre-configured gray level release configuration information, and development and deployment do not need to be carried out with great labor consumption, so that the gray level release efficiency is improved.
Description
Technical Field
The present application relates to the field of artificial intelligence technology, and in particular, to a gray scale publishing method, apparatus, computer device, storage medium, and computer program product.
Background
With the development of internet technology, when a system or a product needs to be upgraded, in order to ensure the stability of external service, a gray level release process is required.
In the conventional technology, when gray level distribution is performed, each system is generally implemented by itself, for example, after the system itself receives a request, operations such as distributing a route to the request are implemented. However, in this case, each system needs to implement a set of gray level deployment strategies, so development and operation personnel often need to consume a great deal of time to complete development and deployment, the process is relatively complex, and the gray level release efficiency is low.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a gradation release method, apparatus, computer device, computer-readable storage medium, and computer program product that can improve gradation release efficiency.
In a first aspect, the present application provides a gray scale distribution method. The method comprises the following steps:
acquiring a service processing request sent to a target server;
determining a processing server corresponding to the service processing request according to pre-configured gray release configuration information corresponding to the target server; the processing server is a normal server or a gray server;
And sending the service processing request to a corresponding processing server, so that the processing server processes the service processing request.
In one embodiment, the determining the processing server corresponding to the service processing request according to the pre-configured gray level release configuration information corresponding to the target server includes:
when the gray release configuration information comprises gray dependent configuration information and the last service processing request on which the service processing request depends is processed by a gray server, or when the gray release configuration information does not comprise gray dependent configuration information, determining a processing server allocation judgment value of the service processing request;
determining that the processing server corresponding to the service processing request is a gray server under the condition that the distribution judgment value of the processing server is smaller than the preset judgment value included in the gray release configuration information;
and under the condition that the distribution judgment value of the processing server is larger than or equal to the preset judgment value, determining the processing server corresponding to the service processing request as a normal server.
In one embodiment, the determining the processing server allocation judgment value of the service processing request includes:
Counting the check value of the service processing request;
performing digital conversion on the check value to obtain a target check value;
and obtaining the remainder of the target check value aiming at a preset numerical value as a processing server of the service processing request to distribute a judgment value.
In one embodiment, the determining the processing server corresponding to the service processing request according to the preconfigured gray release configuration information corresponding to the target server further includes:
and when the gray release configuration information comprises gray dependent configuration information and the last service processing request on which the service processing request depends is not processed by a gray server, determining that the processing server corresponding to the service processing request is a normal server.
In one embodiment, after the service processing request is sent to the corresponding processing server and the processing server processes the service processing request, the method further includes:
receiving a service processing result returned by the processing server for the service processing request;
and carrying out asynchronous processing on the service processing request and the service processing result to obtain a gray release report.
In one embodiment, before acquiring the service processing request sent to the target server, the method further includes:
receiving a heartbeat message sent by an initial processing server associated with the target server;
and updating the initial processing server according to the request result of the heartbeat message to obtain the processing server.
In a second aspect, the present application further provides a gray scale issuing device. The device comprises:
the request acquisition module is used for acquiring a service processing request sent to the target server;
the server determining module is used for determining a processing server corresponding to the service processing request according to the pre-configured gray release configuration information corresponding to the target server; the processing server is a normal server or a gray server;
and the request sending module is used for sending the service processing request to a corresponding processing server so that the processing server processes the service processing request.
In a third aspect, the present application also provides a computer device. The computer device comprises a memory storing a computer program and a processor which when executing the computer program performs the steps of:
Acquiring a service processing request sent to a target server;
determining a processing server corresponding to the service processing request according to pre-configured gray release configuration information corresponding to the target server; the processing server is a normal server or a gray server;
and sending the service processing request to a corresponding processing server, so that the processing server processes the service processing request.
In a fourth aspect, the present application also provides a computer-readable storage medium. The computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of:
acquiring a service processing request sent to a target server;
determining a processing server corresponding to the service processing request according to pre-configured gray release configuration information corresponding to the target server; the processing server is a normal server or a gray server;
and sending the service processing request to a corresponding processing server, so that the processing server processes the service processing request.
In a fifth aspect, the present application also provides a computer program product. The computer program product comprises a computer program which, when executed by a processor, implements the steps of:
Acquiring a service processing request sent to a target server;
determining a processing server corresponding to the service processing request according to pre-configured gray release configuration information corresponding to the target server; the processing server is a normal server or a gray server;
and sending the service processing request to a corresponding processing server, so that the processing server processes the service processing request.
The gray level issuing method, the gray level issuing device, the computer equipment, the storage medium and the computer program product are used for acquiring a service processing request sent to a target server; then, according to the pre-configured gray release configuration information corresponding to the target server, determining a processing server corresponding to the service processing request; the processing server is a normal server or a gray server; and finally, sending the service processing request to a corresponding processing server, so that the processing server processes the service processing request. In this way, the gray level release system can automatically realize the gray level release of the target server according to the pre-configured gray level release configuration information corresponding to the target server, the server does not need to carry out operations such as the distribution route and the like on the request after receiving the request, and does not need to consume a great deal of manpower and time to independently develop and deploy the gray level release strategy, thereby simplifying the gray level release process and further improving the gray level release efficiency.
Drawings
FIG. 1 is an application environment diagram of a gray scale distribution method in one embodiment;
FIG. 2 is a flowchart of a gray scale distribution method according to an embodiment;
FIG. 3 is a flowchart illustrating steps for determining a processing server corresponding to a service processing request in one embodiment;
FIG. 4 is a flowchart of a gray level distribution method according to another embodiment;
FIG. 5 is a flowchart illustrating steps for configuring gray scale release configuration information in one embodiment;
FIG. 6 is a flow diagram illustrating steps for registering a node in one embodiment;
FIG. 7 is a flow diagram that illustrates the processing steps of a caller request in one embodiment;
FIG. 8 is a flowchart illustrating steps performed by the grayscale platform in receiving a service provider forwarding request according to one embodiment;
FIG. 9 is a flowchart illustrating steps for generating a report in one embodiment;
FIG. 10 is a block diagram showing a configuration of a gradation issuing apparatus in one embodiment;
FIG. 11 is an internal block diagram of a computer device in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
Gray level release is a method for commonly avoiding risks in software development; the main idea is to provide the test point function, when the product or system needs to be upgraded, a small number of sub-machines are used for installing and upgrading new versions, and the new and old versions provide services for the outside. When the request is made, partial flow is led to a new machine; in the parallel operation for a period of time, if no problem is found, the old machine is updated to the new version external service in the unified time, and the gray level release process is completed.
The gray level publishing method provided by the embodiment of the application can be applied to an application environment shown in fig. 1. The terminal 102 communicates with the target server 104 via a network, the target server 104 is connected to the gradation release system 106, and the gradation release system 106 communicates with the processing server 108 via the network. Specifically, referring to fig. 1, in the process of the terminal 102 sending a service processing request to the target server 104, the gray scale distribution system 106 obtains the service processing request sent by the terminal 102 to the target server 104; determining a processing server 108 corresponding to the service processing request according to the pre-configured gray release configuration information corresponding to the target server 104; the processing server 108 is a normal server or a gray server; the service processing request is sent to the corresponding processing server 108, so that the processing server 108 processes the service processing request. The terminal 102 may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, internet of things devices, and portable wearable devices, where the internet of things devices may be smart speakers, smart televisions, smart air conditioners, smart vehicle devices, and the like. The portable wearable device may be a smart watch, smart bracelet, headset, or the like. The target server 104 and the processing server 108 may be implemented as separate servers or as a server cluster of multiple servers. The gradation release system 106 refers to a system that provides a gradation release function.
In one embodiment, as shown in fig. 2, a gray scale distribution method is provided, and the gray scale distribution system in fig. 1 is taken as an example for describing the application of the method, and the method includes the following steps:
step S201, a service processing request sent to a target server is acquired.
The service processing request refers to a processing request related to a service, the processing request is sent to a target server by a terminal, and the request enters the target server for processing. The service may refer to various types of services, such as approval services.
Specifically, the terminal sends a service processing request to a target server; and the gray level release system connected with the target server intercepts the service processing request sent to the target server to obtain the service processing request sent to the target server.
Step S202, determining a processing server corresponding to a service processing request according to pre-configured gray release configuration information corresponding to a target server; the processing server is a normal server or a gray server.
The gray scale distribution configuration information refers to configuration information related to gray scale distribution, including but not limited to gray scale traffic ratio, gray scale server IP, and whether dependency exists. It should be noted that, the gray level distribution configuration information of any server or system may be configured on the gray level distribution system to implement gray level distribution, and it is not necessary to develop and deploy a gray level distribution policy on each server or system that needs to be upgraded separately.
The processing server refers to a server provided by a service provider where the target server is located. The normal server refers to a normal machine, and the gradation server refers to a gradation machine. It should be noted that, each service processing request can only be processed by one processing server.
Specifically, the gray level release system acquires pre-configured gray level release configuration information corresponding to a target server from a local database, and identifies a service processing request according to the gray level release configuration information to obtain an identification result; and determining a processing server corresponding to the service processing request according to the identification result.
For example, the gray level distribution system determines, according to the gray level distribution configuration information, that the processing server corresponding to the service processing request a is the normal server a, and determines that the processing server corresponding to the service processing request B is the gray level server B.
Step S203, the business processing request is sent to the corresponding processing server, so that the processing server processes the business processing request.
The service processing request is sent to the corresponding processing server, that is, the service processing request is routed to the corresponding processing server, and the processing server processes the service processing request.
Specifically, the gray level release system sends the service processing request to the corresponding processing server according to the server identification of the processing server corresponding to the service processing request; after receiving the service processing request, the processing server processes the service processing request to obtain a corresponding service processing result, such as an approval service processing result.
In the gray level release method, a service processing request sent to a target server is acquired; then, according to the pre-configured gray release configuration information corresponding to the target server, determining a processing server corresponding to the service processing request; the processing server is a normal server or a gray server; and finally, sending the service processing request to a corresponding processing server, so that the processing server processes the service processing request. In this way, the gray level release system can automatically realize the gray level release of the target server according to the pre-configured gray level release configuration information corresponding to the target server, the server does not need to carry out operations such as the distribution route and the like on the request after receiving the request, and does not need to consume a great deal of manpower and time to independently develop and deploy the gray level release strategy, thereby simplifying the gray level release process and further improving the gray level release efficiency.
In one embodiment, as shown in fig. 3, the step S202 determines, according to the pre-configured gray-scale distribution configuration information corresponding to the target server, a processing server corresponding to the service processing request, and specifically includes the following steps:
in step S301, in the case where the gradation release configuration information includes gradation dependent configuration information and the last service processing request on which the service processing request depends is processed by the gradation server, or in the case where the gradation release configuration information does not include gradation dependent configuration information, a processing server allocation judgment value of the service processing request is determined.
The gray-scale dependent configuration information refers to gray-scale dependent configuration items. If the gray release configuration information contains gray dependent configuration items, the service processing request needs to enter a gray server for processing, and the gray processing of the interface corresponding to the dependent ID needs to be performed first, and then gray duty ratio judgment control is performed. And if the gray release configuration information does not contain the gray dependent configuration item, performing normal gray control processing.
Wherein the processing server allocation judgment value is used for judging whether to allocate the service processing request to a normal server or a gray server. By setting different preset judgment values, different gray scale flow rates can be determined.
In step S302, when the processing server allocation judgment value is smaller than the preset judgment value included in the gray scale distribution configuration information, it is determined that the processing server corresponding to the service processing request is the gray scale server.
In step S303, when the processing server allocation judgment value is greater than or equal to the preset judgment value, it is determined that the processing server corresponding to the service processing request is a normal server.
Specifically, the gray level release system judges whether gray level dependent configuration information is included in gray level release configuration information, and inputs a service processing request into an allocation judgment value statistical model to obtain a processing server allocation judgment value of the service processing request under the condition that the gray level dependent configuration information is not included in the gray level release configuration information; when the distribution judgment value of the processing server is smaller than a preset judgment value (such as 2), determining that the processing server corresponding to the service processing request is a gray server; and when the distribution judgment value of the processing server is larger than or equal to the preset judgment value, determining that the processing server corresponding to the service processing request is a normal server.
Further, in the case that the gradation release configuration information includes gradation dependent configuration information, the gradation release system judges whether or not a last service processing request on which the service processing request depends is processed by the gradation server; under the condition that the last service processing request on which the service processing request depends is processed by the gray server, inputting the service processing request into an allocation judgment value statistical model to obtain a processing server allocation judgment value of the service processing request; when the distribution judgment value of the processing server is smaller than a preset judgment value (such as 2), determining that the processing server corresponding to the service processing request is a gray server; and when the distribution judgment value of the processing server is larger than or equal to the preset judgment value, determining that the processing server corresponding to the service processing request is a normal server.
In this embodiment, the processing server corresponding to the service processing request is determined through the pre-configured gray release configuration information corresponding to the target server, and then the service processing request is sent to the corresponding processing server for processing, so that it is not necessary to develop and deploy gray release policies on each server or system to be upgraded separately, thereby reducing gray release cost and improving reusability.
In addition, in the step S202, the determining the processing server corresponding to the service processing request according to the pre-configured gray-scale distribution configuration information corresponding to the target server further includes: and when the gray release configuration information comprises gray dependent configuration information and the last service processing request on which the service processing request depends is not processed by the gray server, determining that the processing server corresponding to the service processing request is a normal server.
Specifically, the gray level release system judges whether gray level dependent configuration information is included in the gray level release configuration information, and judges whether a last service processing request on which a service processing request depends is processed by the gray level server under the condition that the gray level release configuration information includes the gray level dependent configuration information; and determining that the processing server corresponding to the service processing request is a normal server under the condition that the last service processing request on which the service processing request depends is not processed by the gray server.
In this embodiment, when determining the processing server corresponding to the service processing request, whether the gray level release configuration information includes gray level dependent configuration information and whether the last service processing request on which the service processing request depends is processed by the gray level server are comprehensively considered, which is beneficial to improving the determination accuracy of the processing server of the service processing request, thereby ensuring the gray level flow ratio and avoiding errors in the gray level release process.
In one embodiment, the step S301 of determining the processing server allocation judgment value of the service processing request specifically includes: counting the check value of the service processing request; performing digital conversion on the check value to obtain a target check value; and obtaining the remainder of the target check value aiming at the preset numerical value, and using the remainder as a processing server of the service processing request to distribute a judgment value.
The check value of the service processing request specifically refers to a value to be calculated, such as an MD5 value. The target check value is a numerical value obtained by digitally converting the check value, such as a digest integer value. The preset value refers to a preset value, such as 10.
Specifically, the gray level issuing system performs abstract calculation on the whole service processing request according to the abstract calculation instruction to obtain an abstract calculation value of the service processing request as a check value of the service processing request; according to the digital conversion instruction, each character in the check value is encoded to obtain the code corresponding to each character in the check value; converting the codes corresponding to each character into shaping numbers to obtain shaping numbers corresponding to each character; adding the shaping numbers corresponding to each character to obtain a target check value; dividing the target check value with a preset value to obtain a corresponding remainder, and using the remainder as a processing server of the service processing request to distribute a judging value.
For example, the gray level publishing system performs a digest calculation of HMAC MD5 on the entire service processing request to obtain a digest calculation value, such as 771093e83aeb659d125100fa465bd34e; performing digital conversion on the abstract calculated value, for example, performing ASCII code conversion on each character of the abstract calculated value to respectively obtain ASCII codes corresponding to each character, converting each ASCII code into a shaping number, and performing all addition to obtain an abstract integer value; taking the remainder of the digest integer value to 10, a remainder of 0 to 9 is obtained, and the remainder is used as a processing server of the service processing request to allocate a judgment value.
In this embodiment, the service processing request is converted to obtain the processing server allocation judgment value, so that the processing server corresponding to the service processing request can be directly determined according to the processing server allocation judgment value, the defect that the processing server corresponding to the service processing request cannot be directly determined according to the service processing request is avoided, and meanwhile, the determination accuracy of the processing server is improved.
Further, in the step S203, after sending the service processing request to the corresponding processing server, the processing server processes the service processing request, the method further includes: receiving a service processing result returned by the processing server for the service processing request; and carrying out asynchronous processing on the service processing request and the service processing result to obtain a gray release report.
The gray level release report is a report for displaying gray level release conditions, and is convenient for testers to know the gray level release conditions in time.
For example, in the process of sending the service processing request to the corresponding processing server and making the processing server process the service processing request, the gray level distribution system returns the gray level information (such as the gray level interface control ID, whether the gray level information is processed by the gray level server, etc.) of the service processing request to the server of the service provider; after receiving the service processing request forwarded by the gray level release system, the server of the service provider processes the service processing request; the processing result interacts with the gray level publishing system again through the standardized interface. The gray level release system processes the interaction result, stores the current processing result in a database server of the gray level release system, and simultaneously asynchronously processes the service processing request; for example, after the service processing request is transmitted to the corresponding processing server, the service processing request is saved in the kafka message queue. The background of the gray level release system starts a consumer thread to analyze and process the service processing request; analyzing the service processing request into json objects, further acquiring key value pairs of the service processing request, recording information such as gray marks and processing results of the service processing request, and storing the information into a hbase database; and counting the information in the hbase database through spark and hive technologies, and generating a gray release report.
In this embodiment, after sending a service processing request to a corresponding processing server, so that the processing server processes the service processing request, a service processing result returned by the processing server for the service processing request is received; and asynchronous processing is carried out on the service processing request and the service processing result to obtain a gray level release report, so that a tester can know the gray level release condition in time, and the test point is enlarged or the whole amount of the test point is pulled up in time.
In one embodiment, before acquiring the service processing request sent to the target server, the method further includes: receiving a heartbeat message sent by an initial processing server associated with a target server; and updating the initial processing server according to the request result of the heartbeat message to obtain the processing server.
The initial processing server associated with the target server refers to a processing server which completes registration on the gray level release system. The processing server refers to the final determined server.
For example, before acquiring a service processing request sent to a target server, an initial processing server associated with the target server sends a heartbeat message to a gray level release system according to a preset time interval, wherein the heartbeat message is used for the gray level release system to probe the initial processing server; if the long-time failure of the living detection occurs, the initial processing server is marked; and finally, deleting the marked initial processing servers in the initial processing servers to obtain the rest initial processing servers serving as the processing servers.
In this embodiment, before acquiring a service processing request sent to a target server, a heartbeat message sent by an initial processing server associated with the target server is received; and updating the initial processing server according to the request result of the heartbeat message to obtain a processing server, so that the effective processing server is determined first, and the smooth proceeding of the subsequent gray level release flow is ensured.
In one embodiment, as shown in fig. 4, another gray scale distribution method is provided, and the gray scale distribution system in fig. 1 is taken as an example for describing the application of the method, and the method includes the following steps:
step S401, receiving a heartbeat message sent by an initial processing server associated with a target server; and updating the initial processing server according to the request result of the heartbeat message to obtain the processing server.
Step S402, a service processing request sent to the target server is acquired.
Step S403, determining a processing server corresponding to the service processing request according to the pre-configured gray release configuration information corresponding to the target server; the processing server is a normal server or a gray server.
Step S404, the business processing request is sent to the corresponding processing server, so that the processing server processes the business processing request.
Step S405, receiving a service processing result of the service processing request returned by the processing server; and carrying out asynchronous processing on the service processing request and the service processing result to obtain a gray release report.
According to the gray level release method, the gray level release system can automatically release the gray level of the target server according to the pre-configured gray level release configuration information corresponding to the target server, the server does not need to carry out operations such as routing of the request after receiving the request, and development and deployment of a gray level release strategy are not required to be independently carried out with great labor and time consumption, so that the gray level release process is simplified, and the gray level release efficiency is improved. And meanwhile, the service processing request and the service processing result are asynchronously processed to obtain a gray level release report, so that a tester can know the gray level release condition in time, and the test point is timely enlarged or the whole amount of the test point is pulled up.
In one embodiment, in order to more clearly clarify the gray scale distribution method provided in the embodiment of the present application, the gray scale distribution method is specifically described in the following with a specific embodiment. In one embodiment, a gray scale publishing method is provided, all application systems are registered on a gray scale platform, and information such as gray scale flow configuration, full-flow transaction links and the like is configured on the platform. When the request comes in, the gray scale is routed according to the configuration, and meanwhile, gray scale test points on the whole link can be realized. When the gray level is successful, the versions can be completely leveled by only modifying the configuration on the platform. The system mainly comprises two parts, namely a gray level release configuration platform and a provider access gray level release system configuration.
A first part: and a gray level release configuration platform. As shown in fig. 5, the gray scale release configuration platform mainly includes 5 aspects of user initialization configuration, gray scale flow setting, and the like.
Step S501: the user initializes basic information of the distribution system. The gray level release configuration platform provides basic management functions, and users need to register basic information of self release applications, wherein the basic information mainly comprises but is not limited to Chinese and English names of a system, an operating system, a JDK version, a service group and the like, and the basic information is specifically shown in a table 1.
TABLE 1
| Application systemPre-information | Information description |
| APP_NAME | English abbreviation of application system, check uniqueness |
| APP_NAME_NLS | Chinese name of application system |
| OPER_SYSTEM | Operating system for application deployment |
| JDK_VER | JDK version number |
| DEPLOY_GROUP | Application deployment groups, e.g. double park deployment scope, etc |
| DATE | Application registration time |
Step S502, configuring a version library of the gray level and the normal version of the application system. The gray scale platform is combined with the continuous integration module; the user completes the generation and the production of version packages of the self application system in the continuously integrated system, including but not limited to war packages, jar packages, mirror images and other version media. The gray scale platform can read the corresponding version medium from the continuous platform for the user to select configuration according to the standard interface interaction with the continuous integrated platform, and the gray scale version is pulled up or retracted to confirm the version medium through the function. The user needs to perform corresponding configuration on the gray scale platform page, as shown in table 2.
TABLE 2
In step S503, information such as machine IP association is configured. And deploying version media, deploying IP and other information on the gray scale platform page. If the deployment is to use a PAAS cloud platform and the like, the provider accesses the gray scale platform and updates the table information through a standardized interface. This table is used to control the flow of traffic and distinguish between requests being processed by either the grayscale machine or the normal machine, as shown in table 3.
TABLE 3 Table 3
In step S504, information such as gray scale flow, duty ratio, etc. is configured. And configuring information such as interfaces, request parameters, gray scale duty ratio, keyword hit and the like which need gray scale flow control on the gray scale platform page. The subsequent gray level platform transfers the gray level request to the corresponding I configured in the configuration unit 13 according to the ratio of the gray level request according to the hit result of the request; specifically, the results are shown in Table 4.
TABLE 4 Table 4
In step S505, a push-to-pull Ji Huidu version and a rollback function are provided. The grayscale system page provides a one-click-to-zoom-out or back-off version. The grayscale platform interacts with a standard interface of a continuously integrated platform (e.g., jenkins et al system, but not limited thereto). After the triggering event, the gray scale platform generates a related message and initiates a version update request to the continuous integration platform, wherein the main information comprises corresponding application, deployment mode, version medium type, version medium ID and the like, namely the related information defined in step S502. And the continuous integration platform carries out corresponding processing and returns related data such as gray level leveling state, log file and the like according to standard interface convention. If the version is pulled up or the rollback fails, further returning the failure reason and sending the early warning information, and generating an error report.
A second part: the service provider accesses the gray level distribution system. Fig. 6 illustrates a precondition that a service provider accesses a gray level publishing platform, which specifically includes the following contents:
step S601: before using the grayscale publishing platform, the service provider needs to configure related information of the application system on the page, and meanwhile introduces jar packets provided by the grayscale platform. After the relevant configuration is completed, the normal version server and the gray level version server can send messages containing basic information (such as a system, a deployment platform and the like) of the server, IP, version medium relevant information, registration time and the like to the gray level platform. After receiving the message, the gray scale platform node analyzes the message information. After the analysis is normal, the information is stored in a gray scale platform database, and the registration success information is returned to the service provider.
Step S602: after the association relation of the registered nodes is established, the node which realizes registration by a background thread introducing the jar packet sends a heartbeat message to the gray scale platform at intervals of 30S. The heartbeat message is mainly used for detecting the active node by the platform. If long-time failure of detecting activity occurs, the routing server returns to reject the corresponding server when the gray scale platform receives the request.
Step S603: the request interaction is the most important link of gray control. The introduced jar packet realizes request drainage, namely, the request of the calling party is transmitted to the gray scale platform. The grayscale platform performs route distribution processing on its request, with the route result, and rule ID information is returned through RPC (remote procedure call) context. Referring to fig. 7 for a specific flow, fig. 7 describes a processing flow of a caller request after a service provider accesses a grayscale platform, which specifically includes the following contents:
step S701: the provider has previously set the basic information of the application in step S501 and step S503, the gray scale flow ratio (e.g. 20%), the gray scale machine IP, whether there is dependency, etc. information for gray scale flow drainage.
Step S702: the calling party initiates a service request to the service provider through RPC or HTTP, and the request enters the application server of the service provider for processing.
Step S703: the service provider has access to the gray level distribution platform and is registered on the gray level distribution platform. The request is automatically intercepted by the interceptor of the gray scale platform and then forwarded to the gray scale publishing platform system for processing.
Step S704: after receiving the forwarded request, the gray scale platform carries out logic processing on the request message. Referring to fig. 8, fig. 8 describes a process flow of the grayscale platform receiving a service provider forwarding request, specifically including the following:
Step S801: after receiving the forwarded request, the grayscale platform obtains the configuration item of step S503. If the dependent configuration is not included, the next step S803 is performed. If there is a dependent configuration, the process proceeds to the next step S802.
Step S802: the content of the request message is analyzed, and whether the RPC or HTTP context on the request is processed by the gray server is analyzed, wherein the interface gray request only processes the last request and is the result returned by the gray server because the interface has gray dependency, the result data is returned by the step S807, and the subsequent request is sent to the gray platform together by the provided jar package through the RPC or HTTP context mode. If the last request dependent on the analysis message discovery request is processed by the gray server, the next step S803 is performed. Otherwise, the request is directly forwarded to the normal server corresponding to the interface configuration for processing.
Step S803: the whole request message is subjected to a digest calculation of HMAC MD5 (which may be calculated using the MessageDigest class of java) as calculated value 771093e83aeb659d125100fa465bd34e.
Step S804: the abstract value is subjected to digital conversion (the method adopted here is to perform ascii code conversion on each character of the abstract calculation value, obtain corresponding asci codes for all the characters in the abstract calculation value respectively, then convert the corresponding asci codes into shaping numbers, and finally add all the shaping numbers to obtain the abstract calculation result).
Step S805: the result of the digest calculation is a remainder of 0 to 9, with the remainder being a remainder of 10.
Step S806: the platform system reads the grayscale configuration of the provider (e.g., 20%, grayscale machine IP, grayscale condition, etc.). If the remainder value is less than 2, the request is routed to the grayscale machine of the service provider, otherwise the request is routed to the normal server of the service provider. Simultaneously, the currently requested gray information mainly comprises a gray interface control ID and a state of whether the gray information is processed by a gray server or not is returned to a service provider server, and the next request is carried out in step S802 to judge the result of the gray processing of the interface; the primary return values refer to table 5.
TABLE 5
Step S807: the service provider server receives the request forwarded by the gray scale platform and processes the request. The processing result is interacted with the gray scale platform again through the standardized interface.
Step S705: the gray level platform processes the interaction result and stores the current processing result in the database server.
Step S706: the grayscale platform system processes the request asynchronously. After the request message is routed and forwarded, the message is simultaneously stored in a kafka message queue. And starting a consumer thread by the system background, and analyzing and processing the message. Analyzing the message into json objects, further obtaining key value pairs of the request message, recording information such as a gray scale mark and a processing result of the request, and carrying out hbase warehousing. A visual view of a report or the like presented by a subsequent platform will be statistically derived from this detail information using spark and hive techniques, see fig. 9.
The gray level release method can achieve the following technical effects: 1. the development cost is reduced, and the platform portability and the reusability are high. The gray level platform is used for unified management and release, so that gray level release management can be better carried out. And the unified platform system provides customizable configuration access, so that repeated wheel manufacturing operations of developers are greatly reduced. 2. Convenience. And a full-volume visual view is provided on the platform, so that a personal application system can conveniently observe the current gray level drainage condition of self-application in real time, and the test point is enlarged or full-volume alignment is performed in time. 3. A framework platform similar to dubbo can be realized, and the framework platform has the potential of becoming a uniform solution for gray scale release in the industry.
It should be understood that, although the steps in the flowcharts related to the embodiments described above are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.
Based on the same inventive concept, the embodiment of the application also provides a gray scale distribution device for realizing the gray scale distribution method. The implementation of the solution provided by the device is similar to the implementation described in the above method, so the specific limitation in the embodiments of the gray scale distribution device or devices provided below may refer to the limitation of the gray scale distribution method hereinabove, and will not be repeated here.
In one embodiment, as shown in fig. 10, there is provided a gradation issuing apparatus including: a request acquisition module 1001, a server determination module 1002, and a request transmission module 1003, wherein:
a request acquisition module 1001, configured to acquire a service processing request sent to a target server.
A server determining module 1002, configured to determine a processing server corresponding to the service processing request according to the pre-configured gray release configuration information corresponding to the target server; the processing server is a normal server or a gray server.
The request sending module 1003 is configured to send the service processing request to a corresponding processing server, so that the processing server processes the service processing request.
In one embodiment, the server determining module 1002 is further configured to determine, when the gray release configuration information includes gray dependent configuration information and a previous service processing request on which the service processing request depends is processed by the gray server, or when the gray release configuration information does not include gray dependent configuration information, a processing server allocation judgment value of the service processing request; determining that the processing server corresponding to the service processing request is a gray server under the condition that the distribution judgment value of the processing server is smaller than the preset judgment value included in the gray release configuration information; and under the condition that the distribution judgment value of the processing server is larger than or equal to the preset judgment value, determining that the processing server corresponding to the service processing request is a normal server.
In one embodiment, the server determining module 1002 is further configured to count a check value of the service processing request; performing digital conversion on the check value to obtain a target check value; and obtaining the remainder of the target check value aiming at the preset numerical value, and using the remainder as a processing server of the service processing request to distribute a judgment value.
In one embodiment, the server determining module 1002 is further configured to determine that the processing server corresponding to the service processing request is a normal server when the gray-scale release configuration information includes gray-scale dependent configuration information and the last service processing request on which the service processing request depends is not processed by the gray-scale server.
In one embodiment, the gray level publishing device further comprises a report generating module, which is used for receiving a service processing result returned by the processing server for the service processing request; and carrying out asynchronous processing on the service processing request and the service processing result to obtain a gray release report.
In one embodiment, the gray level publishing device further includes a server update module, configured to receive a heartbeat message sent by an initial processing server associated with the target server; and updating the initial processing server according to the request result of the heartbeat message to obtain the processing server.
The respective modules in the gradation issuing apparatus described above may be implemented in whole or in part by software, hardware, and a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a terminal, and the internal structure thereof may be as shown in fig. 11. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless mode can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. The computer program is executed by a processor to implement a gray scale distribution method. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, can also be keys, a track ball or a touch pad arranged on the shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
It will be appreciated by those skilled in the art that the structure shown in fig. 11 is merely a block diagram of a portion of the structure associated with the present application and is not limiting of the computer device to which the present application applies, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
In an embodiment, there is also provided a computer device comprising a memory and a processor, the memory having stored therein a computer program, the processor implementing the steps of the method embodiments described above when the computer program is executed.
In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when executed by a processor, carries out the steps of the method embodiments described above.
In an embodiment, a computer program product is provided, comprising a computer program which, when executed by a processor, implements the steps of the method embodiments described above.
It should be noted that, user information (including but not limited to user equipment information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, presented data, etc.) referred to in the present application are information and data authorized by the user or sufficiently authorized by each party.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in the various embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magnetic random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (Phase Change Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like. The databases referred to in the various embodiments provided herein may include at least one of relational databases and non-relational databases. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processors referred to in the embodiments provided herein may be general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic units, quantum computing-based data processing logic units, etc., without being limited thereto.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples only represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the present application. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application shall be subject to the appended claims.
Claims (10)
1. A gray scale distribution method, characterized by being applied to a gray scale distribution system, the method comprising:
acquiring a service processing request sent to a target server;
determining a processing server corresponding to the service processing request according to pre-configured gray release configuration information corresponding to the target server; the processing server is a normal server or a gray server;
The service processing request is sent to a corresponding processing server, so that the processing server processes the service processing request;
the determining the processing server corresponding to the service processing request according to the pre-configured gray level release configuration information corresponding to the target server comprises the following steps:
when the gray release configuration information comprises gray dependent configuration information and the last service processing request on which the service processing request depends is processed by a gray server, or when the gray release configuration information does not comprise gray dependent configuration information, performing abstract calculation on the service processing request to obtain an abstract calculation value of the service processing request as a check value of the service processing request;
converting codes corresponding to each character in the check value into shaping numbers to obtain shaping numbers corresponding to each character; adding the shaping numbers corresponding to each character to obtain a target check value;
obtaining the remainder of the target check value aiming at a preset numerical value as a processing server distribution judgment value of the service processing request;
And determining a processing server corresponding to the service processing request according to the size relation between the distribution judgment value of the processing server of the service processing request and the preset judgment value included in the gray release configuration information.
2. The method according to claim 1, wherein the determining the processing server corresponding to the service processing request according to the magnitude relation between the processing server distribution judgment value of the service processing request and the preset judgment value included in the gray-scale distribution configuration information includes:
determining that the processing server corresponding to the service processing request is a gray server under the condition that the distribution judgment value of the processing server is smaller than the preset judgment value included in the gray release configuration information;
and under the condition that the distribution judgment value of the processing server is larger than or equal to the preset judgment value, determining the processing server corresponding to the service processing request as a normal server.
3. The method according to claim 1, wherein the determining the processing server corresponding to the service processing request according to the pre-configured gray scale distribution configuration information corresponding to the target server further comprises:
And when the gray release configuration information comprises gray dependent configuration information and the last service processing request on which the service processing request depends is not processed by a gray server, determining that the processing server corresponding to the service processing request is a normal server.
4. The method of claim 1, further comprising, after sending the service processing request to a corresponding processing server, causing the processing server to process the service processing request:
receiving a service processing result returned by the processing server for the service processing request;
and carrying out asynchronous processing on the service processing request and the service processing result to obtain a gray release report.
5. The method of claim 1, further comprising, prior to obtaining the service processing request sent to the target server:
receiving a heartbeat message sent by an initial processing server associated with the target server;
and updating the initial processing server according to the request result of the heartbeat message to obtain the processing server.
6. A gradation issuing apparatus, characterized by being applied to a gradation issuing system, comprising:
The request acquisition module is used for acquiring a service processing request sent to the target server;
the server determining module is used for determining a processing server corresponding to the service processing request according to the pre-configured gray release configuration information corresponding to the target server; the processing server is a normal server or a gray server; the processing server corresponding to the service processing request distributes a judgment value according to the processing server of the service processing request and determines the size relation between the judgment value and a preset judgment value included in the gray release configuration information; the distribution judgment value of the processing server is determined according to the check value of the service processing request;
the request sending module is used for sending the service processing request to a corresponding processing server so that the processing server processes the service processing request;
the server determining module is further configured to perform summary calculation on the service processing request to obtain a summary calculation value of the service processing request as a check value of the service processing request when the gray release configuration information includes gray dependent configuration information and a previous service processing request on which the service processing request depends is processed by a gray server or when the gray release configuration information does not include gray dependent configuration information; converting codes corresponding to each character in the check value into shaping numbers to obtain shaping numbers corresponding to each character; adding the shaping numbers corresponding to each character to obtain a target check value; obtaining the remainder of the target check value aiming at a preset numerical value as a processing server distribution judgment value of the service processing request; and determining a processing server corresponding to the service processing request according to the size relation between the distribution judgment value of the processing server of the service processing request and the preset judgment value included in the gray release configuration information.
7. The apparatus of claim 6, further comprising a server update module configured to receive a heartbeat message sent by an initial processing server associated with the target server; and updating the initial processing server according to the request result of the heartbeat message to obtain the processing server.
8. The apparatus of claim 6, further comprising a report generation module configured to receive a service processing result returned by the processing server for the service processing request; and carrying out asynchronous processing on the service processing request and the service processing result to obtain a gray release report.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any one of claims 1 to 5 when the computer program is executed.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 5.
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