CN112328285A - Method, device, equipment and medium for producing and updating new functions of system - Google Patents
Method, device, equipment and medium for producing and updating new functions of system Download PDFInfo
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Abstract
The application relates to the technical field of artificial intelligence, and discloses a method, a device, equipment and a medium for producing and updating new functions of a system, wherein the method comprises the following steps: performing matching calculation according to the target user information and the flow distribution information to obtain a flow distribution matching result; when the flow distribution matching result is successful, performing rule version matching according to the target user information and the AB distribution rule to obtain an AB distribution matching result; when the AB distribution matching result is the B distribution rule, carrying out white list matching according to the target user information and the white list data to obtain a white list matching result; when the white list matching result is successful, shunting the system access request to a second server for processing, wherein the second server is deployed with a system with a new function; other situations shunt the system access request to the first server of the system with the old function. Therefore, gradual opening of production updating of new functions is controlled, and the fault-tolerant space is improved. The application also relates to blockchain techniques.
Description
Technical Field
The present application relates to the field of artificial intelligence technology, and in particular, to a method, an apparatus, a device, and a medium for updating new functions of a system.
Background
How to produce and update new functions of a software system is always a more important link for business and software development, and defects of the software system can be discovered as early as possible through production and update, so that influence on customers is reduced, and loss is reduced.
At present, most production functions are opened in a full amount after being directly covered with a version, the mode is simple and convenient to operate and maintain, higher requirements are provided for developers and testers, and the fault-tolerant space is small; when a problem occurs in a certain link, the function operation of the software system may be influenced, the customer experience is poor in certain specific scenes, and when the problem occurs seriously, all functions of the software system cannot be used.
Disclosure of Invention
The application mainly aims to provide a method, a device, equipment and a medium for producing and updating new functions of a system, and aims to solve the technical problems that the production and updating of the existing software system are completely opened after directly covering a version, and the fault-tolerant space is small.
In order to achieve the above object, the present application provides a method for updating new function production of a system, the method comprising:
acquiring a system access request, wherein the system access request carries target user information;
acquiring flow distribution information, and performing matching calculation according to the target user information and the flow distribution information to obtain a flow distribution matching result;
when the flow distribution matching result is failure, distributing the system access request to a first server for processing, wherein the first server is deployed with a system with an old function;
when the flow distribution matching result is successful, an AB distribution rule is obtained, and rule version matching is carried out according to the target user information and the AB distribution rule to obtain an AB distribution matching result;
when the AB distribution matching result is an A distribution rule, distributing the system access request to the first server for processing;
when the AB shunting matching result is a B shunting rule, acquiring white list data, and performing white list matching according to the target user information and the white list data to obtain a white list matching result;
and when the white list matching result is successful, shunting the system access request to a second server for processing, otherwise shunting the system access request to the first server for processing, wherein the second server is deployed with a system with a new function.
Further, the step of performing matching calculation according to the target user information and the traffic diversion information to obtain a traffic diversion matching result includes:
according to the target user information, carrying out distribution fine classification searching on the flow distribution information to obtain a distribution fine classification searching result;
when the distribution fine classification searching result is failure, determining that the flow distribution matching result is failure;
and when the distribution fine classification searching result is successful, calculating the current flow percentage according to the distribution fine classification searching result to obtain the actual flow percentage, obtaining the fine classification flow percentage of the distribution fine classification, comparing the actual flow percentage with the fine classification flow percentage, determining that the flow distribution matching result is successful when the actual flow percentage is less than or equal to the fine classification flow percentage, and otherwise determining that the flow distribution matching result is failed.
Further, the step of performing rule version matching according to the target user information and the AB offload rule to obtain an AB offload matching result includes:
carrying out rule version matching on the target user information in the AB shunting rule to obtain a rule version matching result;
when the rule version matching result is located in the A shunting and shunting matching information, determining the AB shunting matching result as the A shunting rule;
and when the rule version matching result is located in the B shunting and shunting matching information, determining the AB shunting matching result as the B shunting rule.
Further, the step of splitting the system access request to a second server for processing when the white list matching result is successful, otherwise splitting the system access request to the first server for processing, where after the step of deploying a system with a new function by the second server, the method includes:
and storing the target user information, the flow distribution matching result, the AB distribution matching result and the white list matching result to a block chain of a block chain system.
Further, after the step of performing matching calculation according to the target user information and the traffic diversion information to obtain a traffic diversion matching result, the method further includes:
acquiring preset flow control duration and latest updating time of the flow distribution information;
obtaining a result of the system with the new function responding to the system access request within the preset flow control duration by taking the latest updating time of the flow distribution information as a starting time, and obtaining a first to-be-counted response result;
calculating a normal response proportion according to the first to-be-counted response result to obtain a first normal response proportion;
acquiring a first preset proportion;
comparing the first normal response proportion with the first preset proportion to obtain a first new function verification result;
and when the first new function verification result is successful, acquiring flow percentage upgrade data and the current flow percentage, and updating the flow distribution information according to the flow percentage upgrade data and the current flow percentage.
Further, after the step of performing rule version matching according to the target user information and the AB offload rule to obtain an AB offload matching result, the method further includes:
acquiring a preset AB shunt control time length and the latest updating time of the AB shunt rule;
obtaining a result of the system with the new function responding to the system access request within the preset AB shunt control time length by taking the latest updating time of the ABAB shunt rule as a starting time, and obtaining a second response result to be counted;
calculating a normal response ratio according to the second response result to be counted to obtain a second normal response ratio;
acquiring a second preset proportion;
comparing the second normal response proportion with the second preset proportion to obtain a second new function verification result;
and when the second new function verification result is successful, acquiring a B shunt lifting rule, and updating the AB shunt rule according to the B shunt lifting rule.
Further, the step of performing white list matching according to the target user information and the white list data to obtain a white list matching result includes:
acquiring preset white list shunt control duration and latest updating time of the white list data;
acquiring a result of the system response to the system access request of the new function within the preset white list shunt control duration by taking the latest update time of the white list data as a start time, and acquiring a third response result to be counted;
calculating a normal response proportion according to the third response result to be counted to obtain a third normal response proportion;
acquiring a third preset proportion;
comparing the third normal response proportion with the third preset proportion to obtain a third new function verification result;
and when the third new function verification result is successful, acquiring a white list to be added, and updating the white list data according to the white list to be added.
The application also provides a system new function production updating device, the device includes:
the request acquisition module is used for acquiring a system access request, and the system access request carries target user information;
the flow distribution module is used for acquiring flow distribution information, performing matching calculation according to the target user information and the flow distribution information to obtain a flow distribution matching result, and distributing the system access request to a first server for processing when the flow distribution matching result is failure, wherein the first server is deployed with an old function system;
the AB shunting module is used for acquiring an AB shunting rule when the flow shunting matching result is successful, performing rule version matching according to the target user information and the AB shunting rule to obtain an AB shunting matching result, and shunting the system access request to the first server for processing when the AB shunting matching result is an A shunting rule;
and the white list shunting module is used for acquiring white list data when the AB shunting matching result is a B shunting rule, performing white list matching according to the target user information and the white list data to obtain a white list matching result, shunting the system access request to a second server for processing when the white list matching result is successful, and shunting the system access request to the first server for processing if the white list matching result is not successful, wherein the second server is deployed with a system with a new function.
The present application further proposes a computer device comprising a memory and a processor, the memory storing a computer program, the processor implementing the steps of any of the above methods when executing the computer program.
The present application also proposes a computer-readable storage medium having stored thereon a computer program which, when being executed by a processor, carries out the steps of the method of any of the above-mentioned claims.
According to the method, the device, the equipment and the medium for producing and updating the new functions and the old functions of the system, the new functions and the old functions of the system are respectively deployed on different servers, matching calculation is carried out according to target user information and flow distribution information to obtain a flow distribution matching result, when the flow distribution matching result is failure, a system access request is distributed to a first server for processing, and the first server is deployed with a system with the old functions; when the flow distribution matching result is successful, an AB distribution rule is obtained, rule version matching is carried out according to target user information and the AB distribution rule, an AB distribution matching result is obtained, and when the AB distribution matching result is the A distribution rule, a system access request is distributed to a first server for processing; when the AB distribution matching result is the B distribution rule, white list data are obtained, white list matching is conducted according to target user information and the white list data, a white list matching result is obtained, when the white list matching result is successful, the system access request is distributed to the second server to be processed, otherwise, the system access request is distributed to the first server to be processed, and the second server is provided with a system with a new function, so that multi-level distribution control is achieved according to flow distribution, AB distribution and the white list in sequence, gradual opening of production updating of the new function is controlled, fault-tolerant space is improved, software system function operation cannot be affected when a certain link is in a problem, system production stability is improved, and user experience is improved.
Drawings
FIG. 1 is a schematic flow chart illustrating a method for generating and updating new functions of a system according to an embodiment of the present application;
FIG. 2 is a block diagram illustrating a new function generation and update apparatus of the system according to an embodiment of the present application;
fig. 3 is a block diagram illustrating a structure of a computer device according to an embodiment of the present application.
The implementation, functional features and advantages of the objectives of the present application will be further explained with reference to the accompanying drawings.
Detailed Description
In order to make the objects, technical solutions and advantages of the present 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.
In order to solve the technical problems that the existing software system is completely opened after being directly covered with the previous version and has less fault-tolerant space, the method is applied to the technical field of artificial intelligence and can also be applied to the technical field of block chains. According to the method for producing and updating the new functions of the system, the new functions and the old functions of the system are respectively deployed on different servers, and then multi-level flow distribution control is performed according to flow distribution, AB flow distribution and a white list in sequence, so that gradual opening of production and updating of the new functions is controlled, a fault-tolerant space is improved, the functional operation of a software system cannot be influenced when a certain link goes wrong, the production stability of the system is improved, and the user experience is improved.
Referring to fig. 1, an embodiment of the present application provides a method for generating and updating new functions of a system, where the method includes:
s1: acquiring a system access request, wherein the system access request carries target user information;
s2: acquiring flow distribution information, and performing matching calculation according to the target user information and the flow distribution information to obtain a flow distribution matching result;
s3: when the flow distribution matching result is failure, distributing the system access request to a first server for processing, wherein the first server is deployed with a system with an old function;
s4: when the flow distribution matching result is successful, an AB distribution rule is obtained, and rule version matching is carried out according to the target user information and the AB distribution rule to obtain an AB distribution matching result;
s5: when the AB distribution matching result is an A distribution rule, distributing the system access request to the first server for processing;
s6: when the AB shunting matching result is a B shunting rule, acquiring white list data, and performing white list matching according to the target user information and the white list data to obtain a white list matching result;
s7: and when the white list matching result is successful, shunting the system access request to a second server for processing, otherwise shunting the system access request to the first server for processing, wherein the second server is deployed with a system with a new function.
In the embodiment, new and old functions of the system are respectively deployed on different servers, matching calculation is performed according to target user information and flow distribution information to obtain a flow distribution matching result, when the flow distribution matching result is failure, a system access request is distributed to a first server for processing, and the first server deploys the system with the old function; when the flow distribution matching result is successful, an AB distribution rule is obtained, rule version matching is carried out according to target user information and the AB distribution rule, an AB distribution matching result is obtained, and when the AB distribution matching result is the A distribution rule, a system access request is distributed to a first server for processing; when the AB distribution matching result is the B distribution rule, white list data are obtained, white list matching is conducted according to target user information and the white list data, a white list matching result is obtained, when the white list matching result is successful, the system access request is distributed to the second server to be processed, otherwise, the system access request is distributed to the first server to be processed, and the second server is provided with a system with a new function, so that multi-level distribution control is achieved according to flow distribution, AB distribution and the white list in sequence, gradual opening of production updating of the new function is controlled, fault-tolerant space is improved, software system function operation cannot be affected when a certain link is in a problem, system production stability is improved, and user experience is improved.
For S1, a system access request sent by the user through the terminal is obtained.
Terminals include, but are not limited to: the system comprises a webpage end, a mobile APP (mobile phone software) client and a computer client.
The system access request refers to a request of a user for accessing the system. Service requests include, but are not limited to: an HTTP request.
The target user information is user information of the terminal that transmitted the system access request. User information includes, but is not limited to: user identification, user basic information and terminal information.
The user identification may be a user name, a user ID, etc. that uniquely identifies a user.
The user basic information includes but is not limited to: user name, user identification card number, mobile phone number.
The terminal information is not limited to: the IP address of the terminal and the model of the equipment where the terminal is located. The model of the terminal includes but is not limited to: mobile phone model, computer model, tablet computer model.
For S2, acquiring flow distribution information from a database or a cache, and calculating the current flow percentage according to the target user information to obtain the actual flow percentage; comparing the actual flow percentage with the flow splitting flow percentage of the flow splitting information; and when the actual flow percentage is less than or equal to the flow splitting flow percentage of the flow splitting information, determining that the flow splitting matching result is successful, otherwise, determining that the flow splitting matching result is failed.
The traffic distribution information includes: percent split flow.
For S3, when the traffic offload matching result is failure, it means that the system access request is a request that the traffic offload information is not offloaded to the system with the new function, and at this time, the system access request needs to access the system with the old function and is served by the system with the old function.
The old functional system means that part or all of the software functional modules in the system are old versions.
For S4, when the traffic diversion matching result is successful, obtaining an AB diversion rule from a database or a cache, searching the target user information in the AB diversion rule, and taking a rule version corresponding to the user information found in the AB diversion rule as an AB diversion matching result.
The rule versions include: the system comprises an A shunting rule and a B shunting rule, wherein the A shunting rule is a rule version of a system accessing an old function, and the B shunting rule is a rule version of a system accessing a new function.
And the AB shunting matching result has only one value and is an A shunting rule or a B shunting rule.
It is to be understood that the fields of the same type are used for searching the target user information in the AB offload rule. For example, when the AB offload rule is a name, the name of the target user information is searched in a name field of the AB offload rule, which is not limited in this example.
For S5, when the AB offload matching result is the a offload rule, it means that the system access request is a request for offloading the AB offload rule to the system with the old function, and at this time, the system access request needs to access the system with the old function and is served by the system with the old function.
For S6, when the AB offload matching result is the B offload rule, it means that the system access request is a request for offloading the AB offload rule to a system that can access a new function, white list data in a database or a cache is searched for the target user information in the white list data, and when the same user information is found in the white list data, it is determined that the white list matching result is successful, otherwise it is determined that the white list matching result is failed.
It is understood that the same type of fields are used for searching the white list data for the target user information. For example, when the white list data is a name, the name of the target user information is searched for in the white list data, which is not limited in this example.
For S7, when the white list matching result is successful, it means that traffic splitting, AB splitting, and white list splitting all determine that the system access request can access the system with the new function, and at this time, the system access request can be split to the second server and served by the system with the new function. When the white list matching result is failure, it means that the traffic offload and the AB offload determine that the system access request can access the system with the new function but the white list offload determines that the system access request can only access the system with the old function, and at this time, the system access request is offloaded to the first server and served by the system with the old function.
In an embodiment, the step of performing matching calculation according to the target user information and the traffic diversion information to obtain a traffic diversion matching result includes:
s21: according to the target user information, carrying out distribution fine classification searching on the flow distribution information to obtain a distribution fine classification searching result;
s22: when the distribution fine classification searching result is failure, determining that the flow distribution matching result is failure;
s23: and when the distribution fine classification searching result is successful, calculating the current flow percentage according to the distribution fine classification searching result to obtain the actual flow percentage, obtaining the fine classification flow percentage of the distribution fine classification, comparing the actual flow percentage with the fine classification flow percentage, determining that the flow distribution matching result is successful when the actual flow percentage is less than or equal to the fine classification flow percentage, and otherwise determining that the flow distribution matching result is failed.
According to the embodiment, different distribution fine categories are adopted to carry out primary distribution on the user according to the flow distribution information, so that the flow of the system with the new function is controlled and accessed according to the respective fine category flow percentages corresponding to the distribution fine categories, personalized flow distribution is facilitated, the personalized requirements of the user are met, and the user experience is improved.
For S21, the target user information is searched in the distribution fine classification information of the traffic distribution information, and when the distribution fine classification information searched in the traffic distribution information is found, it is determined that the distribution fine classification search result is successful, otherwise, it is determined that the distribution fine classification search result is failed.
The traffic distribution information includes: the flow distribution fine classification, the flow distribution fine classification information and the flow percentage of the fine classification are set in a one-to-one correspondence mode. The distribution fine classification information includes, but is not limited to: terminal IP address, mobile phone model and mobile phone number. The percentage of the fine classification flow is a percentage of 0% to 100%, and may include 0% or 100%.
For example, the terminal IP address corresponds to the diversion fine category F1 in the city a, and the diversion fine category F1 corresponds to a fine category traffic percentage of 10% and requests can enter the system with the new function, which is not specifically limited by the example herein. For another example, a mobile phone with a mobile phone model S corresponds to the diversion fine category F2, and a request with a 20% flow rate of the diversion fine category F2 may enter a system with a new function, which is not specifically limited herein.
For S22, when the result of the forwarding subdivision search is a failure, it means that the target user information is not described in the traffic forwarding information, the default forwarding of the system access request corresponding to the target user information that is not described to the first server is serviced by the old functional system, and at this time, it is determined that the result of the traffic forwarding matching is a failure.
For S23, when the result of searching for the distribution fine category is successful, it means that the target user information is recorded in the traffic distribution information, and the distribution fine category corresponding to the distribution fine category information found in the traffic distribution information is used as the target distribution fine category; acquiring the real-time quantity and the total quantity of each batch of the system access requests shunted to the target shunting subclass; dividing the real-time number of the system access requests shunted to the target shunting subclass by the total number of each batch, and taking out a remainder as a target remainder; dividing the target remainder by the total number of each batch to obtain an actual flow percentage; comparing the actual flow percentage to the fine classification flow percentage; when the actual flow percentage is less than or equal to the fine classification flow percentage, the fact that the flow distribution in the batch can also enable a distribution user to access a system with a new function is meant, and the distribution fine classification searching result is determined to be successful; and when the actual flow percentage is larger than the fine classification flow percentage, the flow of the flow shunted to the system accessing the new function in the batch is full, and the result of shunting the fine classification search is determined to be failure.
In an embodiment, the step of performing rule version matching according to the target user information and the AB offload rule to obtain an AB offload matching result includes:
s41: carrying out rule version matching on the target user information in the AB shunting rule to obtain a rule version matching result;
s42: when the rule version matching result is located in the A shunting and shunting matching information, determining the AB shunting matching result as the A shunting rule;
s43: and when the rule version matching result is located in the B shunting and shunting matching information, determining the AB shunting matching result as the B shunting rule.
The embodiment performs rule version matching according to the target user information and the AB shunting rule, so that AB shunting is performed on the basis of flow shunting, gradual opening of new function production updating is further controlled, and fault-tolerant space is further improved.
For S41, determining fields needing to be matched for AB shunting according to the AB shunting rule; extracting information from the target user information according to the fields needing to be matched in the AB flow distribution to obtain information to be matched; carrying out rule version matching on the information to be matched in the AB shunting rule; when the information to be matched is all in the A shunting and shunting matching information in the AB shunting rule, determining that the rule version matching result is located in the A shunting and shunting matching information; and when the information to be matched is completely in the B shunting and shunting matching information in the AB shunting rule, determining that the rule version matching result is in the B shunting and shunting matching information.
Optionally, when part of the information to be matched is in the a shunt matching information in the AB shunt rule, and part of the information to be matched is in the B shunt matching information in the AB shunt rule, it is determined that the rule version matching result is located in the a shunt matching information.
And the A shunting and shunting matching information is judged according to at least one of the IP address of the terminal, the model of the mobile phone and the number of the mobile phone. And B, judging the distribution and distribution matching information according to at least one of the IP address of the terminal, the model of the mobile phone and the number of the mobile phone. For example, the mobile phone model S20 is located in the a shunt matching information, which is not limited in this example. For another example, the mobile phone model S10 is located in the B split stream matching information, which is not limited in this example.
For S42, when the rule version matching result is located in the a-split matching information, meaning that the target user information has been completely matched to the a-split matching information, it may be determined that the AB-split matching result is the a-split rule.
For S43, when the rule version matching result is located in the B-split matching information, meaning that the target user information has been completely matched to the B-split matching information, it may be determined that the AB-split matching result is the B-split rule.
In an embodiment, the step of splitting the system access request to a second server for processing when the white list matching result is successful, otherwise splitting the system access request to the first server for processing, where the second server deploys a system with a new function includes:
and storing the target user information, the flow distribution matching result, the AB distribution matching result and the white list matching result to a block chain of a block chain system.
It should be emphasized that, in order to further ensure the privacy and security of the target user information, the traffic diversion matching result, the AB diversion matching result, and the white list matching result, the target user information, the traffic diversion matching result, the AB diversion matching result, and the white list matching result may also be stored in the block chain of the block chain system.
The block chain is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, a consensus mechanism and an encryption algorithm. A block chain (Blockchain), which is essentially a decentralized database, is a series of data blocks associated by using a cryptographic method, and each data block contains information of a batch of network transactions, so as to verify the validity (anti-counterfeiting) of the information and generate a next block. The blockchain may include a blockchain underlying platform, a platform product services layer, and an application services layer.
The block chain underlying platform can comprise processing modules such as user management, basic service, intelligent contract and operation monitoring. The user management module is responsible for identity information management of all blockchain participants, and comprises public and private key generation maintenance (account management), key management, user real identity and blockchain address corresponding relation maintenance (authority management) and the like, and under the authorization condition, the user management module supervises and audits the transaction condition of certain real identities and provides rule configuration (wind control audit) of risk control; the basic service module is deployed on all block chain node equipment and used for verifying the validity of the service request, recording the service request to storage after consensus on the valid request is completed, for a new service request, the basic service firstly performs interface adaptation analysis and authentication processing (interface adaptation), then encrypts service information (consensus management) through a consensus algorithm, transmits the service information to a shared account (network communication) completely and consistently after encryption, and performs recording and storage; the intelligent contract module is responsible for registering and issuing contracts, triggering the contracts and executing the contracts, developers can define contract logics through a certain programming language, issue the contract logics to a block chain (contract registration), call keys or other event triggering and executing according to the logics of contract clauses, complete the contract logics and simultaneously provide the function of upgrading and canceling the contracts; the operation monitoring module is mainly responsible for deployment, configuration modification, contract setting, cloud adaptation in the product release process and visual output of real-time states in product operation, such as: alarm, monitoring network conditions, monitoring node equipment health status, and the like.
In an embodiment, the step of performing white list matching according to the target user information and the white list data to obtain a white list matching result includes:
s61: judging whether the target user information exists in the white list data or not;
s62: and when the target user information exists in the white list data, determining that the white list matching result is successful, otherwise, determining that the white list matching result is failed.
According to the embodiment, the white list matching is carried out according to the target user information and the white list data, so that the white list shunting is carried out on the basis of flow shunting and AB shunting in sequence, the gradual opening of new function production updating is further controlled, and the fault-tolerant space is further promoted.
For S61, determining the fields needing to be searched according to the white list data to obtain white list fields; extracting information from the target user information according to the white list field to obtain white list information to be matched; and searching the white list information to be matched in the white list data, determining that the white list matching result is successful when the same information is searched in the white list data, and determining that the white list matching result is failed when the same information is not searched in the white list data.
For S62, when the target user information exists in the white list data, it means that the target user information is still determined to be able to be distributed to a system with a new function after traffic distribution, AB distribution, and white list distribution in sequence, and at this time, it is determined that the white list matching result is successful; when the target user information does not exist in the white list data, the target user information needs to be shunted to a system with a new function through traffic shunting and AB shunting, but the white list shunting determines that the target user information needs to be shunted to a system with an old function, and at the moment, the white list matching result is determined to be failed.
In an embodiment, after the step of performing matching calculation according to the target user information and the traffic diversion information to obtain a traffic diversion matching result, the method further includes:
s811: acquiring preset flow control duration and latest updating time of the flow distribution information;
s812: obtaining a result of the system with the new function responding to the system access request within the preset flow control duration by taking the latest updating time of the flow distribution information as a starting time, and obtaining a first to-be-counted response result;
s813: calculating a normal response proportion according to the first to-be-counted response result to obtain a first normal response proportion;
s814: acquiring a first preset proportion;
s815: comparing the first normal response proportion with the first preset proportion to obtain a first new function verification result;
s816: and when the first new function verification result is successful, acquiring flow percentage upgrade data and the current flow percentage, and updating the flow distribution information according to the flow percentage upgrade data and the current flow percentage.
According to the embodiment, the flow distribution information is updated according to the normal response proportion according to the preset flow control duration, so that the flow distribution information is automatically updated, and the gradual opening of the production updating of the new function is automatically controlled.
For step S811, a preset flow control duration and the latest update time of the flow diversion information are obtained from a database or a cache.
It is understood that the preset flow control duration may also be written into a software program implementing the present application.
The preset flow control duration is a specific numerical value, which may be a default value or a numerical value input by software operation and maintenance personnel.
For S812, a result that the system of the new function responds to the system access request within the preset flow control duration is obtained by taking the latest update time of the flow diversion information as the start time, that is, a result that the system of the new function responds to the system access request after the flow diversion information is updated for the current latest time is obtained.
For S813, obtaining the number of the system access requests of normal responses from the first to-be-counted response result, to obtain a first normal response number; calculating the total number of the system access requests in the first to-be-counted response result to obtain a first total number; and dividing the first normal response quantity by the first total quantity to obtain a first normal response proportion.
For S814, the first preset ratio may be obtained from a database or a cache.
For S815, when the first normal response ratio is greater than or equal to the first preset ratio, it is determined that the first new functional verification result is successful, otherwise, it is determined that the first new functional verification result is failed.
For S816, when the first new function verification result is successful, it means that the current traffic flow splitting information is verified to be passed, and may be gradually released, so that the traffic flow percentage upgrade data and the current traffic flow percentage are obtained from the database or the cache, the current traffic flow percentage is matched and calculated in the traffic flow percentage upgrade data, the target traffic flow percentage is determined, and the target traffic flow percentage is updated by the splitting traffic flow percentage of the traffic flow splitting information, so as to automatically implement gradual opening of production update of the control new function.
For example, when the current flow percentage is 10%, the flow percentage increase data is 10% per time, and when the first new function verification result is successful, the current flow percentage is 10% and the flow percentage increase data is 10% per time, which are added to obtain a target flow percentage of 20%, and the split flow percentage of the flow split information is updated to 20%, which is not specifically limited in this example.
In an embodiment, after the step of performing rule version matching according to the target user information and the AB offload rule to obtain an AB offload matching result, the method further includes:
s821: acquiring a preset AB shunt control time length and the latest updating time of the AB shunt rule;
s822: obtaining a result of the system with the new function responding to the system access request within the preset AB shunt control time length by taking the latest updating time of the ABAB shunt rule as a starting time, and obtaining a second response result to be counted;
s823: calculating a normal response ratio according to the second response result to be counted to obtain a second normal response ratio;
s824: acquiring a second preset proportion;
s825: comparing the second normal response proportion with the second preset proportion to obtain a second new function verification result;
s826: and when the second new function verification result is successful, acquiring a B shunt lifting rule, and updating the AB shunt rule according to the B shunt lifting rule.
The embodiment realizes updating of the AB shunt rule according to the normal response proportion according to the preset AB shunt control duration, thereby realizing automatic updating of the AB shunt rule and being beneficial to automatic realization of gradual opening of production updating of new control functions.
For step S821, a preset AB shunt control duration and the latest update time of the AB shunt rule are obtained from the database or the cache.
It can be understood that the preset AB shunt control duration may also be written into a software program implementing the present application.
The preset AB shunt control duration is a specific numerical value, can be a default value, and can also be a numerical value input by software operation and maintenance personnel.
For S822, a result that the system of the new function responds to the system access request within the preset AB shunt control duration is obtained with the latest update time of the AB shunt rule as the start time, that is, a result that the system of the new function responds to the system access request after the AB shunt rule is updated for the current time most recently is obtained.
For S823, obtaining the number of the system access requests of normal responses from the second to-be-counted response result, to obtain a second normal response number; calculating the total number of the system access requests in the second response result to be counted to obtain a second total number; and dividing the second normal response quantity by the second total quantity to obtain a second normal response proportion.
For S824, the second preset ratio may be obtained from a database or a cache.
For S825, when the second normal response proportion is greater than or equal to the second preset proportion, determining that the second new function verification result is successful, otherwise, determining that the second new function verification result is failed.
For S826, when the second new function verification result is successful, it means that the current AB shunt rule is verified to be passed and may be gradually released, so that the B shunt promotion rule is obtained from a database or a cache, the information corresponding to the B shunt promotion rule is updated to the B shunt matching information of the AB shunt rule, and the information corresponding to the B shunt promotion rule is deleted from the a shunt matching information of the AB shunt rule, so as to automatically implement gradual opening of production update of the new function.
In an embodiment, the step of performing white list matching according to the target user information and the white list data to obtain a white list matching result includes:
s831: acquiring preset white list shunt control duration and latest updating time of the white list data;
s832: acquiring a result of the system response to the system access request of the new function within the preset white list shunt control duration by taking the latest update time of the white list data as a start time, and acquiring a third response result to be counted;
s833: calculating a normal response proportion according to the third response result to be counted to obtain a third normal response proportion;
s834: acquiring a third preset proportion;
s835: comparing the third normal response proportion with the third preset proportion to obtain a third new function verification result;
s836: and when the third new function verification result is successful, acquiring a white list to be added, and updating the white list data according to the white list to be added.
According to the embodiment, the white list data is updated according to the preset white list shunt control time length and the normal response proportion, so that the white list data is automatically updated, and the gradual opening of the production update of the new function is automatically controlled.
For S831, a preset white list split control duration and the latest update time of the white list data are obtained from a database or a cache.
It can be understood that the preset white list shunt control duration may also be written in a software program implementing the present application.
The preset white list shunting control duration is a specific numerical value, can be a default value, and can also be a numerical value input by software operation and maintenance personnel.
For S832, a result that the system of the new function responds to the system access request within the preset white list split control duration is obtained with the latest update time of the white list data as a start time, that is, a result that the system of the new function responds to the system access request after the white list data is updated for the current latest time is obtained.
For S833, obtaining the number of the system access requests that respond normally from the third to-be-counted response result to obtain a third normal response number; calculating the total number of the system access requests in the third response result to be counted to obtain a third total number; and dividing the third normal response quantity by the third total quantity to obtain a third normal response proportion.
For S834, a third preset proportion may be retrieved from a database or cache.
For S835, when the third normal response ratio is greater than or equal to the third preset ratio, determining that the third new function verification result is successful, otherwise, determining that the third new function verification result is failed.
For S836, when the third new function verification result is successful, it means that the current white list data passes through verification and can be gradually released, so that the to-be-added white list is obtained from the database or the cache, and the to-be-added white list is added to the white list data, so as to automatically implement gradual opening of production update of the new function.
Referring to fig. 3, the present application further proposes a system new function production updating apparatus, the apparatus including:
a request obtaining module 100, configured to obtain a system access request, where the system access request carries target user information;
the traffic distribution module 200 is configured to obtain traffic distribution information, perform matching calculation according to the target user information and the traffic distribution information to obtain a traffic distribution matching result, and distribute the system access request to the first server 500 for processing when the traffic distribution matching result is a failure, where the first server 500 deploys a system with an old function;
an AB offload module 300, configured to, when the traffic offload matching result is successful, obtain an AB offload rule, perform rule version matching according to the target user information and the AB offload rule to obtain an AB offload matching result, and when the AB offload matching result is an a offload rule, offload the system access request to the first server 500 for processing;
a white list splitting module 400, configured to, when the AB splitting matching result is a B splitting rule, obtain white list data, perform white list matching according to the target user information and the white list data to obtain a white list matching result, and when the white list matching result is successful, split the system access request to a second server 600 for processing, otherwise, split the system access request to the first server 500 for processing, where the second server 600 deploys a system with a new function.
In the embodiment, new and old functions of the system are respectively deployed on different servers, matching calculation is performed according to target user information and traffic distribution information to obtain a traffic distribution matching result, when the traffic distribution matching result is failure, a system access request is distributed to the first server 500 for processing, and the first server 500 deploys a system with the old function; when the flow distribution matching result is successful, an AB distribution rule is obtained, rule version matching is carried out according to the target user information and the AB distribution rule to obtain an AB distribution matching result, and when the AB distribution matching result is the A distribution rule, a system access request is distributed to the first server 500 for processing; when the AB distribution matching result is the B distribution rule, white list data are obtained, white list matching is conducted according to target user information and the white list data, a white list matching result is obtained, when the white list matching result is successful, the system access request is distributed to the second server 600 to be processed, otherwise, the system access request is distributed to the first server 500 to be processed, and the second server 600 is provided with a system with a new function, so that multi-level distribution control is conducted sequentially according to flow distribution, AB distribution and the white list, gradual opening of production updating of the new function is controlled, a fault-tolerant space is improved, the function operation of a software system cannot be affected when a certain link is in a problem, the production stability of the system is improved, and user experience is improved.
Referring to fig. 3, a computer device, which may be a server and whose internal structure may be as shown in fig. 3, is also provided in the embodiment of the present application. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the computer designed processor is used to provide computational 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, a computer program, and a database. The memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer equipment is used for storing data such as a system new function production updating method and the like. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a system new function production updating method. The new function production updating method of the system comprises the following steps: acquiring a system access request, wherein the system access request carries target user information; acquiring flow distribution information, and performing matching calculation according to the target user information and the flow distribution information to obtain a flow distribution matching result; when the flow distribution matching result is failure, distributing the system access request to a first server for processing, wherein the first server is deployed with a system with an old function; when the flow distribution matching result is successful, an AB distribution rule is obtained, and rule version matching is carried out according to the target user information and the AB distribution rule to obtain an AB distribution matching result; when the AB distribution matching result is an A distribution rule, distributing the system access request to the first server for processing; when the AB shunting matching result is a B shunting rule, acquiring white list data, and performing white list matching according to the target user information and the white list data to obtain a white list matching result; and when the white list matching result is successful, shunting the system access request to a second server for processing, otherwise shunting the system access request to the first server for processing, wherein the second server is deployed with a system with a new function.
In the embodiment, new and old functions of the system are respectively deployed on different servers, matching calculation is performed according to target user information and flow distribution information to obtain a flow distribution matching result, when the flow distribution matching result is failure, a system access request is distributed to a first server for processing, and the first server deploys the system with the old function; when the flow distribution matching result is successful, an AB distribution rule is obtained, rule version matching is carried out according to target user information and the AB distribution rule, an AB distribution matching result is obtained, and when the AB distribution matching result is the A distribution rule, a system access request is distributed to a first server for processing; when the AB distribution matching result is the B distribution rule, white list data are obtained, white list matching is conducted according to target user information and the white list data, a white list matching result is obtained, when the white list matching result is successful, the system access request is distributed to the second server to be processed, otherwise, the system access request is distributed to the first server to be processed, and the second server is provided with a system with a new function, so that multi-level distribution control is achieved according to flow distribution, AB distribution and the white list in sequence, gradual opening of production updating of the new function is controlled, fault-tolerant space is improved, software system function operation cannot be affected when a certain link is in a problem, system production stability is improved, and user experience is improved.
An embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements a system new function production updating method, including the steps of: acquiring a system access request, wherein the system access request carries target user information; acquiring flow distribution information, and performing matching calculation according to the target user information and the flow distribution information to obtain a flow distribution matching result; when the flow distribution matching result is failure, distributing the system access request to a first server for processing, wherein the first server is deployed with a system with an old function; when the flow distribution matching result is successful, an AB distribution rule is obtained, and rule version matching is carried out according to the target user information and the AB distribution rule to obtain an AB distribution matching result; when the AB distribution matching result is an A distribution rule, distributing the system access request to the first server for processing; when the AB shunting matching result is a B shunting rule, acquiring white list data, and performing white list matching according to the target user information and the white list data to obtain a white list matching result; and when the white list matching result is successful, shunting the system access request to a second server for processing, otherwise shunting the system access request to the first server for processing, wherein the second server is deployed with a system with a new function.
According to the method for producing and updating the new system functions, the new and old system functions are respectively deployed on different servers, matching calculation is carried out according to target user information and flow distribution information, a flow distribution matching result is obtained, when the flow distribution matching result is failure, a system access request is distributed to a first server for processing, and the first server is deployed with a system with the old function; when the flow distribution matching result is successful, an AB distribution rule is obtained, rule version matching is carried out according to target user information and the AB distribution rule, an AB distribution matching result is obtained, and when the AB distribution matching result is the A distribution rule, a system access request is distributed to a first server for processing; when the AB distribution matching result is the B distribution rule, white list data are obtained, white list matching is conducted according to target user information and the white list data, a white list matching result is obtained, when the white list matching result is successful, the system access request is distributed to the second server to be processed, otherwise, the system access request is distributed to the first server to be processed, and the second server is provided with a system with a new function, so that multi-level distribution control is achieved according to flow distribution, AB distribution and the white list in sequence, gradual opening of production updating of the new function is controlled, fault-tolerant space is improved, software system function operation cannot be affected when a certain link is in a problem, system production stability is improved, and user experience is improved.
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, storage, database, or other medium provided herein and used in the examples may include non-volatile and/or volatile memory. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), double-rate SDRAM (SSRSDRAM), Enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and bus dynamic RAM (RDRAM).
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, apparatus, article, or method that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, apparatus, article, or method. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, apparatus, article, or method that includes the element.
The above description is only a preferred embodiment of the present application, and not intended to limit the scope of the present application, and all modifications of equivalent structures and equivalent processes, which are made by the contents of the specification and the drawings of the present application, or which are directly or indirectly applied to other related technical fields, are also included in the scope of the present application.
Claims (10)
1. A method for producing and updating new functions of a system, which is characterized by comprising the following steps:
acquiring a system access request, wherein the system access request carries target user information;
acquiring flow distribution information, and performing matching calculation according to the target user information and the flow distribution information to obtain a flow distribution matching result;
when the flow distribution matching result is failure, distributing the system access request to a first server for processing, wherein the first server is deployed with a system with an old function;
when the flow distribution matching result is successful, an AB distribution rule is obtained, and rule version matching is carried out according to the target user information and the AB distribution rule to obtain an AB distribution matching result;
when the AB distribution matching result is an A distribution rule, distributing the system access request to the first server for processing;
when the AB shunting matching result is a B shunting rule, acquiring white list data, and performing white list matching according to the target user information and the white list data to obtain a white list matching result;
and when the white list matching result is successful, shunting the system access request to a second server for processing, otherwise shunting the system access request to the first server for processing, wherein the second server is deployed with a system with a new function.
2. The method for updating system new function production according to claim 1, wherein the step of performing matching calculation according to the target user information and the traffic diversion information to obtain a traffic diversion matching result comprises:
according to the target user information, carrying out distribution fine classification searching on the flow distribution information to obtain a distribution fine classification searching result;
when the distribution fine classification searching result is failure, determining that the flow distribution matching result is failure;
and when the distribution fine classification searching result is successful, calculating the current flow percentage according to the distribution fine classification searching result to obtain the actual flow percentage, obtaining the fine classification flow percentage of the distribution fine classification, comparing the actual flow percentage with the fine classification flow percentage, determining that the flow distribution matching result is successful when the actual flow percentage is less than or equal to the fine classification flow percentage, and otherwise determining that the flow distribution matching result is failed.
3. The method for updating system new function production according to claim 1, wherein the step of performing rule version matching according to the target user information and the AB offload rule to obtain an AB offload matching result comprises:
carrying out rule version matching on the target user information in the AB shunting rule to obtain a rule version matching result;
when the rule version matching result is located in the A shunting and shunting matching information, determining the AB shunting matching result as the A shunting rule;
and when the rule version matching result is located in the B shunting and shunting matching information, determining the AB shunting matching result as the B shunting rule.
4. The method for updating system new function production according to claim 1, wherein the step of offloading the system access request to a second server for processing when the white list matching result is successful, otherwise offloading the system access request to the first server for processing, and the second server deploys a system with new functions is followed by the step of:
and storing the target user information, the flow distribution matching result, the AB distribution matching result and the white list matching result to a block chain of a block chain system.
5. The method for updating system new function production according to claim 1, wherein after the step of performing matching calculation according to the target user information and the traffic diversion information to obtain a traffic diversion matching result, the method further comprises:
acquiring preset flow control duration and latest updating time of the flow distribution information;
obtaining a result of the system with the new function responding to the system access request within the preset flow control duration by taking the latest updating time of the flow distribution information as a starting time, and obtaining a first to-be-counted response result;
calculating a normal response proportion according to the first to-be-counted response result to obtain a first normal response proportion;
acquiring a first preset proportion;
comparing the first normal response proportion with the first preset proportion to obtain a first new function verification result;
and when the first new function verification result is successful, acquiring flow percentage upgrade data and the current flow percentage, and updating the flow distribution information according to the flow percentage upgrade data and the current flow percentage.
6. The method for updating system new function production according to claim 1, wherein after the step of performing rule version matching according to the target user information and the AB offload rule to obtain an AB offload matching result, the method further comprises:
acquiring a preset AB shunt control time length and the latest updating time of the AB shunt rule;
obtaining a result of the system with the new function responding to the system access request within the preset AB shunt control time length by taking the latest updating time of the ABAB shunt rule as a starting time, and obtaining a second response result to be counted;
calculating a normal response ratio according to the second response result to be counted to obtain a second normal response ratio;
acquiring a second preset proportion;
comparing the second normal response proportion with the second preset proportion to obtain a second new function verification result;
and when the second new function verification result is successful, acquiring a B shunt lifting rule, and updating the AB shunt rule according to the B shunt lifting rule.
7. The method for updating system new function production according to claim 1, wherein the step of performing white list matching according to the target user information and the white list data to obtain a white list matching result comprises:
acquiring preset white list shunt control duration and latest updating time of the white list data;
acquiring a result of the system response to the system access request of the new function within the preset white list shunt control duration by taking the latest update time of the white list data as a start time, and acquiring a third response result to be counted;
calculating a normal response proportion according to the third response result to be counted to obtain a third normal response proportion;
acquiring a third preset proportion;
comparing the third normal response proportion with the third preset proportion to obtain a third new function verification result;
and when the third new function verification result is successful, acquiring a white list to be added, and updating the white list data according to the white list to be added.
8. A system new function production updating device is characterized by comprising:
the request acquisition module is used for acquiring a system access request, and the system access request carries target user information;
the flow distribution module is used for acquiring flow distribution information, performing matching calculation according to the target user information and the flow distribution information to obtain a flow distribution matching result, and distributing the system access request to a first server for processing when the flow distribution matching result is failure, wherein the first server is deployed with an old function system;
the AB shunting module is used for acquiring an AB shunting rule when the flow shunting matching result is successful, performing rule version matching according to the target user information and the AB shunting rule to obtain an AB shunting matching result, and shunting the system access request to the first server for processing when the AB shunting matching result is an A shunting rule;
and the white list shunting module is used for acquiring white list data when the AB shunting matching result is a B shunting rule, performing white list matching according to the target user information and the white list data to obtain a white list matching result, shunting the system access request to a second server for processing when the white list matching result is successful, and shunting the system access request to the first server for processing if the white list matching result is not successful, wherein the second server is deployed with a system with a new function.
9. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor implements the steps of the method of any one of claims 1 to 7 when executing the computer program.
10. 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 7.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112995052A (en) * | 2021-04-25 | 2021-06-18 | 北京世纪好未来教育科技有限公司 | Flow control method and related device |
| CN115361452A (en) * | 2022-08-11 | 2022-11-18 | 上海浦东发展银行股份有限公司 | Shunting method, system, electronic equipment and medium for synchronous operation of new and old systems |
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2020
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112995052A (en) * | 2021-04-25 | 2021-06-18 | 北京世纪好未来教育科技有限公司 | Flow control method and related device |
| CN112995052B (en) * | 2021-04-25 | 2021-08-06 | 北京世纪好未来教育科技有限公司 | Flow control method and related device |
| CN115361452A (en) * | 2022-08-11 | 2022-11-18 | 上海浦东发展银行股份有限公司 | Shunting method, system, electronic equipment and medium for synchronous operation of new and old systems |
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