CN114401187A - Gray scale distribution method and device, computer equipment and storage medium - Google Patents
Gray scale distribution method and device, computer equipment and storage medium Download PDFInfo
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Abstract
The application relates to a gray scale publishing method, a gray scale publishing device, computer equipment, a storage medium and a computer program product, which 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 scale release can be automatically realized according to the pre-configured gray scale release configuration information without consuming a large amount of manpower for development and deployment, thereby improving the gray scale release efficiency.
Description
Technical Field
The present application relates to the field of artificial intelligence technologies, and in particular, to a method, an apparatus, a computer device, a storage medium, and a computer program product for gray scale publishing.
Background
With the development of internet technology, when a system or a product needs to be upgraded, a gray scale publishing process needs to be performed in order to ensure the stability of external services.
In the conventional technology, when gray scale distribution is performed, each system generally implements itself, for example, after receiving a request, the system itself needs to implement operations such as distributing and routing the request. However, in this case, each system needs to implement a set of gray deployment strategy, and development and operation and maintenance personnel often need to spend a lot of time to complete development and deployment, which is complicated in process and results in low gray release efficiency.
Disclosure of Invention
In view of the above, it is necessary to provide a gray scale distribution method, apparatus, computer device, computer readable storage medium, and computer program product capable of improving gray scale distribution efficiency in view of the above technical problems.
In a first aspect, the present application provides a gray scale publishing 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, according to the pre-configured gray scale distribution configuration information corresponding to the target server, a processing server corresponding to the service processing request includes:
determining a processing server allocation judgment value of the service processing request under the condition that the gray scale release configuration information comprises gray scale dependency configuration information and a last service processing request depended by the service processing request is processed by a gray scale server or under the condition that the gray scale release configuration information does not comprise the gray scale dependency configuration information;
determining the processing server corresponding to the service processing request as a gray scale server under the condition that the allocation judgment value of the processing server is smaller than a preset judgment value included in the gray scale release configuration information;
and determining the processing server corresponding to the service processing request as a normal server under the condition that the allocation judgment value of the processing server is greater than or equal to the preset judgment value.
In one embodiment, the determining a processing server allocation judgment value of the service processing request includes:
counting a check value of the service processing request;
carrying out digital conversion on the check value to obtain a target check value;
and acquiring the remainder of the target check value aiming at a preset numerical value, and using the remainder as a processing server distribution judgment value of the service processing request.
In one embodiment, the determining, according to pre-configured gray scale distribution configuration information corresponding to the target server, a processing server corresponding to the service processing request further includes:
and determining that the processing server corresponding to the service processing request is a normal server under the condition that the gray release configuration information comprises gray dependence configuration information and the last service processing request depended by the service processing request is not processed by the gray server.
In one embodiment, after sending the service processing request to a corresponding processing server and enabling the processing server to process the service processing request, the method further includes:
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.
In one embodiment, before obtaining 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 apparatus. The device comprises:
the request acquisition module is used for acquiring a service processing request sent to a target server;
the server determining module is used for 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 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 implementing the following steps when executing the computer program:
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 further 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 further provides a computer program product. The computer program product comprising 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.
The gray scale publishing method, the gray scale publishing device, the computer equipment, the storage medium and the computer program product are used for obtaining the service processing request sent to the target server; then, 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 finally, sending the service processing request to a corresponding processing server, so that the processing server processes the service processing request. Therefore, the gray scale publishing system can automatically realize the gray scale publishing of the target server according to the pre-configured gray scale publishing configuration information corresponding to the target server, the server does not need to perform operations such as distribution routing and the like on the request after receiving the request, and the development and deployment of the gray scale publishing strategy are not needed to be performed independently by consuming a large amount of manpower and time, so that the gray scale publishing flow is simplified, and the gray scale publishing efficiency is improved.
Drawings
FIG. 1 is a diagram of an exemplary embodiment of a gray scale publishing process;
FIG. 2 is a flow chart illustrating a gray scale publishing process in one embodiment;
FIG. 3 is a flowchart illustrating steps of determining a processing server corresponding to a service processing request according to an embodiment;
FIG. 4 is a flowchart illustrating a gray scale publishing method according to another embodiment;
FIG. 5 is a flowchart illustrating steps of configuring gray scale distribution configuration information in one embodiment;
FIG. 6 is a flowchart illustrating steps for registering a node in one embodiment;
FIG. 7 is a flowchart illustrating the processing steps of a caller request in one embodiment;
FIG. 8 is a flowchart illustrating the processing steps in one embodiment for the grayscale platform to receive a service provider forwarding request;
FIG. 9 is a flowchart illustrating the steps of generating a report in one embodiment;
fig. 10 is a block diagram showing the configuration of a gradation issuance apparatus in one embodiment;
FIG. 11 is a diagram illustrating an internal structure 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 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 present application and are not intended to limit the present application.
The gray release is a common risk avoiding method for software development; the main idea is to provide a test point function, when a product or a system needs to be upgraded, a small number of machines are used for installing and upgrading new versions, and the new and old versions provide services to the outside. When the request is made, part of the traffic is directed to the new machine; in a period of parallel operation, if no problem is found, all the old machines are upgraded to new versions to serve the outside in a unified time, and the gray level release process is completed.
The gray scale publishing method provided by the embodiment of the application can be applied to the application environment shown in fig. 1. The terminal 102 communicates with the target server 104 through a network, the target server 104 is connected with the gray scale distribution system 106, and the gray scale distribution system 106 communicates with the processing server 108 through the network. Specifically, referring to fig. 1, in the process of sending a service processing request from the terminal 102 to the target server 104, the gray scale issuing system 106 obtains the service processing request sent from 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 scale release configuration information corresponding to the target server 104; the processing server 108 is a normal server or a grayscale 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, and the internet of things devices may be smart speakers, smart televisions, smart air conditioners, smart car-mounted devices, and the like. The portable wearable device can be a smart watch, a smart bracelet, a head-mounted device, and 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 distribution system 106 refers to a system that provides a gradation distribution function.
In one embodiment, as shown in fig. 2, a gray scale distribution method is provided, which is exemplified by the application of the method to the gray scale distribution system in fig. 1, and includes the following steps:
step S201, a service processing request sent to the target server is acquired.
The service processing request refers to a processing request related to a service, and is sent to the target server by the terminal, and the request enters the target server for processing. A service may refer to various types of services, such as an approval service.
Specifically, the terminal sends a service processing request to a target server; and intercepting the service processing request sent to the target server by the gray scale issuing system connected with the target server to obtain the service processing request sent to the target server.
Step S202, determining a processing server corresponding to the service processing request according to the pre-configured gray scale release configuration information corresponding to the target server; the processing server is a normal server or a grayscale server.
The gray scale distribution configuration information refers to configuration information related to gray scale distribution, and includes but is not limited to gray scale flow ratio, gray scale server IP, and whether there is a dependency. It should be noted that, the gray scale distribution configuration information of any server or system can be configured on the gray scale distribution system to implement gray scale distribution, and there is no need to separately develop and deploy a gray scale distribution strategy on each server or system that needs to be upgraded.
The processing server refers to a server provided by a service provider where the target server is located. The normal server is a normal machine, and the grayscale server is a grayscale machine. It should be noted that each service processing request can be processed by only one processing server.
Specifically, the gray scale publishing system acquires pre-configured gray scale publishing configuration information corresponding to the target server from a local database, and identifies the service processing request according to the gray scale publishing 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 scale publishing system determines, according to the gray scale publishing 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 scale server B.
Step S203, sending the service processing request to a corresponding processing server, so that the processing server processes the service processing request.
Sending the service processing request to the corresponding processing server means routing the service processing request to the corresponding processing server, and processing the service processing request by the processing server.
Specifically, the gray scale issuing system sends the service processing request to the corresponding processing server according to the server identifier 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 scale release method, a service processing request sent to a target server is acquired; then, 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 finally, sending the service processing request to a corresponding processing server, so that the processing server processes the service processing request. Therefore, the gray scale publishing system can automatically realize the gray scale publishing of the target server according to the pre-configured gray scale publishing configuration information corresponding to the target server, the server does not need to perform operations such as distribution routing and the like on the request after receiving the request, and the development and deployment of the gray scale publishing strategy are not needed to be performed independently by consuming a large amount of manpower and time, so that the gray scale publishing flow is simplified, and the gray scale publishing efficiency is improved.
In an embodiment, as shown in fig. 3, the step S202, determining a processing server corresponding to the service processing request according to the pre-configured gray scale distribution configuration information corresponding to the target server, specifically includes the following steps:
step S301, in a case where the gray scale distribution configuration information includes the gray scale dependent configuration information and the last service processing request to which the service processing request depends is processed by the gray scale server, or in a case where the gray scale distribution configuration information does not include the gray scale dependent configuration information, determining a processing server allocation judgment value of the service processing request.
Here, the gradation-dependent configuration information refers to a gradation-dependent configuration item. If the gray scale release configuration information contains a gray scale dependency configuration item, the service processing request needs to enter a gray scale server for processing, and needs to be subjected to gray scale processing of an interface corresponding to the dependency ID first and then gray scale ratio judgment control is performed. And if the gray level releasing configuration information does not contain the gray level dependent configuration item, performing normal gray level control processing.
Wherein, the processing server allocation judgment value is used for judging whether the service processing request is allocated to the normal server or the gray server. Different gray scale flow ratios can be determined by setting different preset judgment values.
Step S302, when the allocation judgment value of the processing server is smaller than the preset judgment value included in the gray release configuration information, determining that the processing server corresponding to the service processing request is a gray server.
Step S303, determining that the processing server corresponding to the service processing request is a normal server when the allocation determination value of the processing server is greater than or equal to the preset determination value.
Specifically, the gray scale issuing system judges whether gray scale issuing configuration information includes gray scale dependency configuration information, and inputs a service processing request into an allocation judgment value statistical model under the condition that the gray scale issuing configuration information does not include the gray scale dependency configuration information to obtain a processing server allocation judgment value of the service processing request; when the allocation judgment value of the processing server is smaller than a preset judgment value (such as 2), determining the processing server corresponding to the service processing request as a gray scale server; and when the allocation judgment value of the processing server is greater than or equal to the preset judgment value, determining the processing server corresponding to the service processing request as a normal server.
Further, in the case that the gray scale publishing configuration information includes gray scale dependency configuration information, the gray scale publishing system determines whether a previous service processing request, on which the service processing request depends, is processed by the gray scale server; under the condition that the last service processing request depending on the service processing request is processed by the gray scale server, inputting the service processing request into the distribution judgment value statistical model to obtain a distribution judgment value of the processing server of the service processing request; when the allocation judgment value of the processing server is smaller than a preset judgment value (such as 2), determining the processing server corresponding to the service processing request as a gray scale server; and when the allocation judgment value of the processing server is greater than or equal to the preset judgment value, determining the processing server corresponding to the service processing request as a normal server.
In the embodiment, the processing server corresponding to the service processing request is determined through the pre-configured gray scale 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 a gray scale release strategy does not need to be separately developed and deployed on each server or system needing to be upgraded, the gray scale release cost is reduced, and meanwhile, the reusability is improved.
In addition, the step S202 of 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 determining that the processing server corresponding to the service processing request is a normal server under the condition that the gray scale release configuration information comprises gray scale dependency configuration information and the last service processing request depended by the service processing request is not processed by the gray scale server.
Specifically, the gray scale issuing system judges whether gray scale issuing configuration information includes gray scale dependency configuration information, and under the condition that the gray scale issuing configuration information includes the gray scale dependency configuration information, judges whether a last service processing request depended on by a service processing request is processed by a gray scale server; and under the condition that the last service processing request depended by the service processing request is not processed by the gray server, determining that the processing server corresponding to the service processing request is a normal server.
In this embodiment, when determining the processing server corresponding to the service processing request, whether the gray scale publishing configuration information includes the gray scale dependency configuration information and whether the last service processing request dependent on the service processing request is processed by the gray scale 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 scale traffic ratio and avoiding an error in the gray scale publishing process.
In an embodiment, in step S301, determining a processing server allocation judgment value of the service processing request specifically includes: counting a check value of the service processing request; carrying out digital conversion on the check value to obtain a target check value; and acquiring the remainder of the target check value aiming at the preset numerical value, and taking the remainder as a processing server distribution judgment value of the service processing request.
The check value of the service processing request specifically refers to a digest calculation value, 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 scale issuing system performs summary calculation on the whole service processing request according to the summary calculation instruction to obtain a summary calculation value of the service processing request, and the summary calculation value is used as a check value of the service processing request; according to the digital conversion instruction, coding each character in the check value to obtain a code corresponding to each character in the check value; converting the code corresponding to each character into a shaping number to obtain the shaping number corresponding to each character; adding the shaping numbers corresponding to each character to obtain a target check value; and dividing the target check value by a preset numerical value to obtain a corresponding remainder which is used as a processing server distribution judgment value of the service processing request.
For example, the gray-scale distribution system performs summary calculation of the HMAC MD5 on the whole service processing request to obtain summary calculation values, such as 771093e83aeb659d125100fa465bd34 e; performing digital conversion on the digest calculation value, for example, performing ASCII code conversion on each character of the digest calculation value, respectively obtaining an ASCII code corresponding to each character, then converting each ASCII code into a shaping number, and adding all the shaping numbers to obtain a digest shaping value; and (4) taking the remainder of the digest integer value to be 10 to obtain a remainder from 0 to 9, and taking the remainder as a processing server distribution judgment value of the service processing request.
In the embodiment, the processing server allocation judgment value is obtained by converting the service processing request, 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 overcome, and the determination accuracy of the processing server is improved.
Further, step S203, after sending the service processing request to the corresponding processing server and causing the processing server to process the service processing request, further includes: 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.
The gray release report is a report used for displaying the gray release condition, so that testers can know the gray release condition in time.
For example, in the process of sending a service processing request to a corresponding processing server and enabling the processing server to process the service processing request, the gray scale issuing system simultaneously returns the gray scale information (such as a gray scale interface control ID, a state of whether the service processing request is processed by the gray scale server, and the like) of the service processing request to the server of the service provider; after receiving the service processing request forwarded by the gray release system, the server of the service provider processes the service processing request; and the processing result interacts with the gray scale release system through a standardized interface again. The gray level issuing system processes the interaction result, stores the current processing result in a database server of the gray level issuing system, and simultaneously performs asynchronous processing on the service processing request; for example, after sending the service processing request to the corresponding processing server, the service processing request is saved in the kafka message queue. A background of the gray scale issuing system starts a consumer thread to analyze and process the service processing request; analyzing the service processing request into a json object, further acquiring a key value pair of the service processing request, recording information such as a gray mark and a processing result of the service processing request, and storing the information in a hbase database; and counting the information in the hbase database through spark and hive technologies to generate a gray release report.
In this embodiment, after the service processing request is sent to the corresponding processing server and the processing server processes the service processing request, the service processing result of the service processing request returned by the processing server is received; and performing asynchronous processing on the service processing request and the service processing result to obtain a gray release report, so that a tester can know the gray release condition in time and expand the test point in time or perform full-scale alignment.
In one embodiment, before obtaining 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 is a processing server that is registered in the gray scale distribution system. The processing server refers to a finally 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 scale publishing system according to a preset time interval, where the heartbeat message is used for the gray scale publishing system to activate the initial processing server; if the long-time activity detection fails, marking the initial processing server; and finally, deleting the marked initial processing servers in the initial processing servers to obtain the rest initial processing servers as the processing servers.
In the embodiment, before a service processing request sent to a target server is acquired, 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 the processing server, so that the effective processing server is determined firstly, and the smooth proceeding of the subsequent gray level issuing process is favorably ensured.
In one embodiment, as shown in fig. 4, another gray scale distribution method is provided, which is exemplified by the application of the method to the gray scale distribution system in fig. 1, and 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, acquiring the service processing request sent to the target server.
Step S403, determining a processing server corresponding to the service processing request according to the pre-configured gray scale release configuration information corresponding to the target server; the processing server is a normal server or a grayscale server.
Step S404, sending the service processing request to a corresponding processing server, so that the processing server processes the service processing request.
Step S405, receiving a service processing result for 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.
In the gray scale publishing method, the gray scale publishing system can automatically publish the gray scale of the target server according to the pre-configured gray scale publishing configuration information corresponding to the target server, the server does not need to perform operations such as distribution routing and the like on the request after receiving the request, and large manpower and time are not needed to be consumed to develop and deploy the gray scale publishing strategy independently, so that the gray scale publishing flow is simplified, and the gray scale publishing efficiency is improved. Meanwhile, the business processing request and the business processing result are processed asynchronously to obtain a gray release report, so that testers can know the gray release condition in time, and the test points are enlarged in time or the whole amount of pull-up is carried out.
In one embodiment, in order to clarify the gray scale distribution method provided in the embodiments of the present application more clearly, the gray scale distribution method is described in detail below with a specific embodiment. In one embodiment, a gray scale publishing method is provided, wherein all application systems are registered on a gray scale platform, and information such as gray scale flow, a full-flow transaction link and the like is configured on the platform. When a request comes in, the routing gray scale is carried out according to the configuration, and meanwhile, the gray scale test point on the whole link can be realized. When the gray scale is successful, the configuration is only needed to be modified on the platform, and the versions can be completely aligned. The system mainly comprises two parts, namely a gray release configuration platform and a provider access gray release system configuration.
A first part: and (4) a gray scale distribution configuration platform. As shown in fig. 5, the gray scale distribution configuration platform mainly includes 5 aspects of user initialization configuration, gray scale flow setting, and the like.
Step S501: the user initializes the basic information of the publishing system. The gray release configuration platform provides basic management functions, and users need to register basic information of their own release applications, mainly including but not limited to system names in and out, operating systems, JDK versions, service groups, and the like, as shown in table 1.
TABLE 1
| Application system current information | Information description |
| APP_NAME | English abbreviation of application system, checking 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. dual campus deployment domains |
| DATE | Application registration time |
And step S502, configuring a version library of the gray scale and the normal version of the application system. The gray level platform is combined with the continuous integration module; the user completes the generation and production of the version package of the self application system in a continuously integrated system, including but not limited to the version media of war package, jar package, mirror image and the like. The gray scale platform can read corresponding version media from the continuous platform for the user to select and configure according to the standard interface interaction with the continuous integration platform, and the gray scale versions are aligned or backed to confirm the version media through the function. The user needs to perform corresponding configuration on the grayscale platform page, which is specifically 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 the platform such as PAAS cloud, the information of the table is updated through a standardized interface after a provider accesses the gray scale platform. This table is used to control the flow of the flow, and the request for discrimination is processed by the grayscale machine or the normal machine, as shown in table 3.
TABLE 3
Step S504, dispose information such as the gray scale flow, occupation ratio, etc. And configuring information such as an interface, request parameters, gray ratio, keyword hit and the like which need to perform gray flow control on a gray platform page. The subsequent gray scale platform transfers the gray scale request to a corresponding I configured in the configuration unit 13 according to the hit result of the request according to the proportion; the details are shown in Table 4.
TABLE 4
Step S505, providing a one-key pull-up grayscale version and a rollback function. The grayscale system page provides a one-click snap-to-snap or rollback version. The grayscale platform interacts with a standard interface of a continuous integration platform (such as but not limited to jenkins and other systems). After the trigger event, the grayscale platform generates a relevant message to initiate a version update request to the persistent integration platform, and the main information includes the corresponding application, the deployment mode, the version media type, the version media ID, and the like, that is, the relevant information defined in step S502. And the continuous integration platform performs corresponding processing and returns associated data such as a gray level alignment state, a log file and the like according to the convention of a standard interface. If the versions are pulled up or returned back to fail, the failure reason is further returned, early warning information is sent, and an error report is generated.
A second part: and the service provider accesses the gray scale release system. Fig. 6 illustrates a premise that a service provider accesses a grayscale publishing platform, which specifically includes the following contents:
step S601: before using the gray release platform, a service provider needs to configure relevant information of an application system on a page, and introduces jar packets provided by the gray platform. After the relevant configuration is completed, the server of the normal version and the server of the gray-scale version send messages containing basic information (such as a system, a deployment platform and the like), IP (Internet protocol), version medium relevant information, registration time and the like of the server to the gray-scale platform. And after the gray level platform node receives the message, analyzing the message information. And after normal analysis, storing the information into a gray scale platform database, and returning registration success information to the service provider.
Step S602: after the incidence relation of the registered nodes is established, the background thread introducing jar packets realizes that the registered nodes send heartbeat messages to the gray-scale platform at intervals of 30S. The heartbeat message is mainly used for a platform to detect active nodes. If long-time failure of detection occurs, when the gray-scale platform receives a request, the routing server returns to reject the corresponding server.
Step S603: request interaction is the most important link of gray control. And the introduced jar packet realizes request drainage, namely the request of the calling party is transmitted to the gray level platform. The grey-scale platform carries out routing distribution processing on the request, a routing result is attached, and the rule ID information is returned through an RPC (remote procedure call) context. Referring to fig. 7, 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 set basic information of the application, such as gray-scale traffic ratio (e.g., 20%), gray-scale machine IP, presence or absence of dependency, etc., for gray-scale traffic drainage in step S501 and step S503.
Step S702: and the caller 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 is connected with the gray scale release platform and is registered on the gray scale release 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 performs logical processing on the request message. Referring to fig. 8, fig. 8 describes a processing flow of the grayscale platform receiving a service provider forwarding request, which specifically includes the following contents:
step S801: after receiving the forwarded request, the grayscale platform acquires the configuration item in step S503. If the dependent configuration is not included, the process proceeds to the next step S803. If the dependency configuration is included, the process proceeds to the next step S802.
Step S802: the content of the request message is analyzed, whether the interface-dependent request in the RPC or HTTP context on the request is processed by the gray scale server or not is analyzed (since the interface has a gray scale dependent item, the interface gray scale request only processes the previous request and also processes the returned result through the gray scale server, the result data is returned by step S807, and the subsequent requests are sent to the gray scale platform together through the provided jar packet in the RPC or HTTP context mode). If the analysis message finds that the previous request depending on the request is processed by the grayscale server, the next step S803 is performed. Otherwise, the request is directly forwarded to a normal server configured by the corresponding interface for processing.
Step S803: the summary calculation of the HMAC MD5 (which can be calculated using java's MessageDigest class) is performed on the entire request packet, as calculated value 771093e83aeb659d125100fa465bd34 e.
Step S804: and (2) carrying out digital conversion on the abstract value (the method is adopted here, each character of the abstract calculated value is subjected to ascii code conversion, all characters in the abstract calculated value are respectively subjected to corresponding asci codes, then the characters are converted into shaping numbers, and all the shaping numbers are added to obtain an abstract calculated result).
Step S805: the digest calculation is left over 10, resulting in a remainder of 0 to 9.
Step S806: the platform system reads the gray configuration (e.g., 20%, gray machine IP, gray conditions, etc.) of the provider. If the remainder value is less than 2, the request is routed to the gray-scale machine of the service provider, otherwise the request is routed to the normal server of the service provider. Simultaneously returning the gray scale information of the current request, which mainly comprises a gray scale interface control ID and whether the gray scale server processes the gray scale information, to the server of the service provider for the subsequent judgment of the next request depending on the gray scale processing result of the interface in the step S802; the main return values refer to table 5.
TABLE 5
Step S807: and the service provider server receives the request forwarded by the gray scale platform and then processes the request. The processing result interacts 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 a database server of the gray level platform.
Step S706: the grayscale platform system will also process the requests asynchronously. After the request message is forwarded by the route, the message is simultaneously stored in the kafka message queue. And starting a consumer thread by the system background, and analyzing and processing the message. And analyzing the message into a json object, further acquiring the key value pair of the request message, recording information such as a gray mark and a processing result of the request, and performing hbase storage. The visual views of the reports and the like displayed by the subsequent platforms are obtained from the detail information through statistics by using spark and hive technologies, and refer to fig. 9.
The gray level publishing method can achieve the following technical effects: 1. the development cost is reduced, and the platform portability and reusability are high. The gray scale platform is used for managing and issuing in a unified mode, and gray scale issuing management can be better performed. The unified platform system provides customizable configuration access, and the repeated wheel manufacturing operation of developers is greatly reduced. 2. Convenience. The full-scale visual view is provided on the platform, so that the gray scale drainage condition of the current self application can be conveniently observed by an application system in real time, and the test point is enlarged or full-scale alignment is carried out in due time. 3. The frame platform similar to the dubbo can be realized, and the potential of becoming a gray scale release unified solution in the industry is achieved.
It should be understood that, although the steps in the flowcharts related to the embodiments as described above are sequentially displayed as indicated by arrows, the steps are not necessarily performed sequentially as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a part of the steps in the flowcharts related to the embodiments described above may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the execution order of the steps or stages is not necessarily sequential, but may be rotated or alternated with other steps or at least a part of the steps or stages in other steps.
Based on the same inventive concept, the embodiment of the present application further provides a gray scale distribution device for implementing the gray scale distribution method. The solution of the problem provided by the device is similar to the solution described in the above method, so the specific definition in one or more embodiments of the gray scale publishing device provided below can refer to the definition of the gray scale publishing method in the above, and details are not described here.
In one embodiment, as shown in fig. 10, there is provided a gradation issuance apparatus including: a request acquisition module 1001, a server determination module 1002, and a request transmission module 1003, wherein:
a request obtaining module 1001, configured to obtain a service processing request sent to a target server.
A server determining module 1002, configured to determine, according to pre-configured gray release configuration information corresponding to a target server, a processing server corresponding to a service processing request; the processing server is a normal server or a grayscale 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 a processing server allocation judgment value of the service processing request in a case that the gray scale distribution configuration information includes gray scale dependency configuration information and a last service processing request on which the service processing request depends is processed by the gray scale server, or in a case that the gray scale distribution configuration information does not include the gray scale dependency configuration information; determining a processing server corresponding to the service processing request as a gray scale server under the condition that the distribution judgment value of the processing server is smaller than a preset judgment value included in the gray scale release configuration information; and under the condition that the allocation judgment value of the processing server is greater 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 server determining module 1002 is further configured to count a check value of the service processing request; carrying out digital conversion on the check value to obtain a target check value; and acquiring the remainder of the target check value aiming at the preset numerical value, and taking the remainder as a processing server distribution judgment value of the service processing request.
In an embodiment, the server determining module 1002 is further configured to determine that a processing server corresponding to a service processing request is a normal server if the gray release configuration information includes gray-level-dependent configuration information and a last service processing request on which the service processing request depends is not processed by a gray server.
In one embodiment, the gray scale publishing device further comprises a report generating module, configured to receive 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.
In one embodiment, the gray scale publishing device further comprises a server updating module, configured to receive 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 respective modules in the above-mentioned gray scale distribution apparatus can be wholly or partially implemented by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram 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 comprises a nonvolatile 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 an operating system and computer programs in the non-volatile storage medium. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless communication 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 publishing 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, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.
Those skilled in the art will appreciate that the architecture shown in fig. 11 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is further provided, which includes a memory and a processor, the memory stores a computer program, and the processor implements the steps of the above method embodiments when executing the computer program.
In an embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when being executed by a processor, carries out the steps of the above-mentioned method embodiments.
In an embodiment, a computer program product is provided, comprising a computer program which, when being executed by a processor, carries out the steps of the above-mentioned method embodiments.
It should be noted that, the user information (including but not limited to user device 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.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, database, or other medium used in the 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 (MRAM), Ferroelectric Random Access Memory (FRAM), Phase Change Memory (PCM), graphene Memory, and the like. Volatile Memory can include Random Access Memory (RAM), external cache Memory, and the like. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others. The databases referred to in various embodiments provided herein may include at least one of relational and non-relational databases. The non-relational database may include, but is not limited to, a block chain 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 devices, quantum computing based data processing logic devices, etc., without limitation.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present application shall be subject to the appended claims.
Claims (10)
1. A gray scale issuing method is applied to a gray scale issuing system, and 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.
2. 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 comprises:
determining a processing server allocation judgment value of the service processing request under the condition that the gray scale release configuration information comprises gray scale dependency configuration information and a last service processing request depended by the service processing request is processed by a gray scale server or under the condition that the gray scale release configuration information does not comprise the gray scale dependency configuration information;
determining the processing server corresponding to the service processing request as a gray scale server under the condition that the allocation judgment value of the processing server is smaller than a preset judgment value included in the gray scale release configuration information;
and determining the processing server corresponding to the service processing request as a normal server under the condition that the allocation judgment value of the processing server is greater than or equal to the preset judgment value.
3. The method of claim 2, wherein determining the processing server allocation decision value for the service processing request comprises:
counting a check value of the service processing request;
carrying out digital conversion on the check value to obtain a target check value;
and acquiring the remainder of the target check value aiming at a preset numerical value, and using the remainder as a processing server distribution judgment value of the service processing request.
4. The method according to claim 2, wherein the determining a processing server corresponding to the service processing request according to pre-configured gray scale distribution configuration information corresponding to the target server further comprises:
and determining that the processing server corresponding to the service processing request is a normal server under the condition that the gray release configuration information comprises gray dependence configuration information and the last service processing request depended by the service processing request is not processed by the gray server.
5. The method according to claim 1, wherein after sending the service processing request to a corresponding processing server to enable the processing server to process the service processing request, the method further comprises:
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.
6. The method of claim 1, prior to obtaining the service processing request sent to the target server, further comprising:
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.
7. A gradation issuance apparatus applied to a gradation issuance system, comprising:
the request acquisition module is used for acquiring a service processing request sent to a target server;
the server determining module is used for 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 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.
8. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method of any of claims 1 to 6.
9. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 6.
10. A computer program product comprising a computer program, characterized in that the computer program realizes the steps of the method of any one of claims 1 to 6 when executed by a processor.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115103028A (en) * | 2022-07-22 | 2022-09-23 | 深圳竹云科技股份有限公司 | SaaS application request processing method and device and computer equipment |
| CN116132284A (en) * | 2022-12-19 | 2023-05-16 | 江苏红网技术股份有限公司 | Method and system for realizing gray level release in service grid by service interface |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111736853A (en) * | 2020-06-24 | 2020-10-02 | 中国平安财产保险股份有限公司 | Gray scale distribution method, device, equipment and storage medium |
| CN112685075A (en) * | 2020-12-31 | 2021-04-20 | 五八有限公司 | Gray scale distribution method and device, electronic equipment and computer readable medium |
| US20210158066A1 (en) * | 2018-10-11 | 2021-05-27 | Ping An Technology (Shenzhen) Co., Ltd. | Man-machine interaction method and system, computer device, and storage medium |
| CN113867782A (en) * | 2021-09-30 | 2021-12-31 | 平安普惠企业管理有限公司 | Gray scale distribution method and device, computer equipment and storage medium |
| CN113918237A (en) * | 2021-09-23 | 2022-01-11 | 广州品唯软件有限公司 | Gray scale publishing method, device, equipment and computer readable medium |
-
2022
- 2022-01-17 CN CN202210047949.1A patent/CN114401187B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20210158066A1 (en) * | 2018-10-11 | 2021-05-27 | Ping An Technology (Shenzhen) Co., Ltd. | Man-machine interaction method and system, computer device, and storage medium |
| CN111736853A (en) * | 2020-06-24 | 2020-10-02 | 中国平安财产保险股份有限公司 | Gray scale distribution method, device, equipment and storage medium |
| CN112685075A (en) * | 2020-12-31 | 2021-04-20 | 五八有限公司 | Gray scale distribution method and device, electronic equipment and computer readable medium |
| CN113918237A (en) * | 2021-09-23 | 2022-01-11 | 广州品唯软件有限公司 | Gray scale publishing method, device, equipment and computer readable medium |
| CN113867782A (en) * | 2021-09-30 | 2021-12-31 | 平安普惠企业管理有限公司 | Gray scale distribution method and device, computer equipment and storage medium |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115103028A (en) * | 2022-07-22 | 2022-09-23 | 深圳竹云科技股份有限公司 | SaaS application request processing method and device and computer equipment |
| CN115103028B (en) * | 2022-07-22 | 2022-11-15 | 深圳竹云科技股份有限公司 | SaaS application request processing method and device and computer equipment |
| CN116132284A (en) * | 2022-12-19 | 2023-05-16 | 江苏红网技术股份有限公司 | Method and system for realizing gray level release in service grid by service interface |
| CN116132284B (en) * | 2022-12-19 | 2023-09-08 | 江苏红网技术股份有限公司 | Method and system for realizing gray level release in service grid by service interface |
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