CN110120971B - Gray scale publishing method and device and electronic equipment - Google Patents

Gray scale publishing method and device and electronic equipment Download PDF

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Publication number
CN110120971B
CN110120971B CN201910308834.1A CN201910308834A CN110120971B CN 110120971 B CN110120971 B CN 110120971B CN 201910308834 A CN201910308834 A CN 201910308834A CN 110120971 B CN110120971 B CN 110120971B
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user
server
information
data request
portrait information
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CN110120971A (en
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尚岩
程启健
王睿宇
张笑强
刘凯
张若晨
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Beijing QIYI Century Science and Technology Co Ltd
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Beijing QIYI Century Science and Technology Co Ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/955—Retrieval from the web using information identifiers, e.g. uniform resource locators [URL]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L45/00—Routing or path finding of packets in data switching networks
    • H04L45/50—Routing or path finding of packets in data switching networks using label swapping, e.g. multi-protocol label switch [MPLS]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/10—Protocols in which an application is distributed across nodes in the network
    • H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
    • H04L67/1004—Server selection for load balancing
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/10—Protocols in which an application is distributed across nodes in the network
    • H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
    • H04L67/1004—Server selection for load balancing
    • H04L67/1008—Server selection for load balancing based on parameters of servers, e.g. available memory or workload
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/10—Protocols in which an application is distributed across nodes in the network
    • H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
    • H04L67/1004—Server selection for load balancing
    • H04L67/1023—Server selection for load balancing based on a hash applied to IP addresses or costs
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/14—Session management
    • H04L67/146—Markers for unambiguous identification of a particular session, e.g. session cookie or URL-encoding
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/50—Network services
    • H04L67/535—Tracking the activity of the user

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • General Engineering & Computer Science (AREA)
  • Computer Hardware Design (AREA)
  • Databases & Information Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The embodiment of the invention provides a gray scale release method, a gray scale release device and electronic equipment, relates to the technical field of communication, and can improve the accuracy of determining a target user in a gray scale release mode. The embodiment of the application comprises the following steps: and receiving a first data request, wherein the first data request comprises a user identifier. And then acquiring user portrait information of the user according to the user identification, wherein the user portrait information is used for reflecting the attributes of the user and/or the behaviors of the user. And judging whether the user portrait information is matched with gray characteristic information, wherein the gray characteristic information is used for reflecting the designated attributes and/or designated behaviors. If the user portrait information matches the gray feature information, forwarding the first data request to a first server, wherein the first service is as follows: servers that do not publish new services; if the user portrait information is not matched with the gray characteristic information, the first data request is forwarded to a second server, and the second server is as follows: servers that do not publish new services.

Description

Gray scale publishing method and device and electronic equipment
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a method and an apparatus for gray scale publishing, and an electronic device.
Background
With the rapid development of the internet of things, the updating and the publishing of the online service are in a rapid iterative state, and the current publishing modes of the online service comprise full publishing and gray publishing. Full publishing refers to having all clients using the online service interact with the server that published the new version of the service. The gray release is to make the client used by the target user perform data interaction with the server releasing the new version service, while the clients used by other users still perform data interaction with the server releasing the original version service. When the full release mode is adopted, if a new version of service has errors, the service on the line is influenced in a large range. Therefore, in order to ensure the accuracy of the released new version of service, the released new version of service can be adjusted and modified in time according to the use condition of the user, and the on-line service is usually tested and adjusted by adopting a gray release mode. It is particularly important to determine the target user for gray scale distribution.
In the existing gray release mode, a remainder operation is performed on an Identity (Identity, abbreviated as ID) of a user carried in a data request sent by a client, and the user whose remainder is a designated number is determined as a target user. Or the user in the specified area is determined as the target user according to an Internet Protocol Address (IP for short) of the user carried in the data request. However, the two methods are coarse in user division granularity, and the obtained target user is not accurate enough.
Disclosure of Invention
The embodiment of the invention aims to provide a gray scale publishing method, a gray scale publishing device and electronic equipment, so as to improve the accuracy of determining a target user in a gray scale publishing mode. The specific technical scheme is as follows:
in a first aspect, a method for issuing grayscale is provided, where the method includes:
receiving a first data request, wherein the first data request comprises a user identifier;
acquiring user portrait information of the user according to the user identification, wherein the user portrait information is used for reflecting attributes of the user and/or behaviors of the user;
judging whether the user portrait information is matched with gray characteristic information or not, wherein the gray characteristic information is used for reflecting specified attributes and/or specified behaviors;
if the user portrait information matches the grayscale feature information, forwarding the first data request to a first server, where the first server is: a server that has published a new service;
or, if the user portrait information does not match the grayscale feature information, forwarding the first data request to a second server, where the second server is: a server that does not publish the new service.
Optionally, before the receiving the first data request, the method further includes:
determining user portrait information of each user according to attribute information and behavior information of each user in a user pool, wherein the user portrait information comprises characteristics of the user in each dimension;
correspondingly storing each user identification and user portrait information corresponding to the user identification into a user characteristic library;
the obtaining of the user portrait information of the user according to the user identifier includes:
and acquiring user portrait information corresponding to the user identification from the user feature library.
Optionally, the first data request further includes a uniform resource locator URL; the judging whether the user portrait information is matched with the gray feature information includes:
acquiring the target service requested by the user according to the URL;
acquiring gray characteristic information corresponding to the target service, wherein the gray characteristic information comprises a characteristic of a specified dimension;
judging whether the characteristics of the user portrait information in the specified dimension are the same as or consistent with the characteristics of the gray characteristic information in the specified dimension;
if the characteristics of the user portrait information in the specified dimension are the same as or consistent with the characteristics of the gray scale characteristic information in the specified dimension, determining that the user portrait information is matched with the gray scale characteristic information;
or if the characteristic of the user portrait information in the specified dimension is different from or does not accord with the characteristic of the gray scale characteristic information in the specified dimension, determining that the user portrait information is not matched with the gray scale characteristic information.
Optionally, the forwarding the first data request to the first server includes:
determining the first server according to the label corresponding to each server and the identification of the target service, wherein the new service is obtained after the target service is upgraded;
forwarding the first data request to the first server;
the forwarding the first data request to a second server includes:
determining the second server according to the label corresponding to each server and the identification of the target service;
forwarding the first data request to the second server.
Optionally, after forwarding the first data request to the first server, the method further includes:
receiving a second data request sent by the first server, wherein the second data request comprises the user identifier and the identifier of the target service, and the second data request is used for requesting to call a specified function;
judging whether the user is a target user or not according to the user identification, wherein the target user is a user with user portrait information matched with gray characteristic information;
if the user is a target user, determining a third server according to the label corresponding to each server and the identification of the target service, wherein the third server is as follows: a server for performing the specified function and having published the new service;
forwarding the second data request to the third server.
In a second aspect, there is provided a gradation issuance apparatus, comprising:
the device comprises a receiving module, a sending module and a receiving module, wherein the receiving module is used for receiving a first data request which comprises a user identifier;
the acquisition module is used for acquiring user portrait information of the user according to the user identification received by the receiving module, wherein the user portrait information is used for reflecting the attribute of the user and/or the behavior of the user;
the judging module is used for judging whether the user portrait information acquired by the acquiring module is matched with gray characteristic information, and the gray characteristic information is used for reflecting designated attributes and/or designated behaviors;
a forwarding module, configured to forward the first data request to a first server when the user portrait information matches the grayscale feature information, where the first server is: a server that has published a new service;
the forwarding module is further configured to forward the first data request to a second server when the user portrait information does not match the grayscale feature information, where the second server is: a server that does not publish the new service.
Optionally, the apparatus further comprises: a determining module and a storing module;
the determining module is used for determining user portrait information of each user according to attribute information and behavior information of each user in the user pool, wherein the user portrait information comprises characteristics of the user in each dimension;
the storage module is used for correspondingly storing the user portrait information corresponding to each user identification and the user identification into a user characteristic library;
the acquisition module is specifically configured to: and acquiring user portrait information corresponding to the user identification from the user feature library.
Optionally, the first data request further includes a uniform resource locator URL; the judgment module is specifically configured to:
acquiring a target service requested by the user according to the URL;
acquiring gray characteristic information corresponding to the target service, wherein the gray characteristic information comprises a characteristic of a specified dimension;
judging whether the characteristics of the user portrait information in the specified dimension are the same as or consistent with the characteristics of the gray characteristic information in the specified dimension;
determining that the user portrait information matches the grayscale feature information when the features of the user portrait information in the specified dimension are the same as or consistent with the features of the grayscale feature information in the specified dimension;
and when the characteristics of the user portrait information in the specified dimension are not the same as or consistent with the characteristics of the gray scale characteristic information in the specified dimension, determining that the user portrait information is not matched with the gray scale characteristic information.
Optionally, the forwarding module is specifically configured to:
when the user portrait information is matched with the gray characteristic information, determining the first server according to the labels corresponding to the servers and the identification of the target service, wherein the new service is obtained after the target service is upgraded;
forwarding the first data request to the first server;
when the user portrait information is not matched with the gray characteristic information, determining the second server according to the labels corresponding to the servers and the identification of the target service;
forwarding the first data request to the second server.
Optionally, the receiving module is further configured to receive a second data request sent by the first server, where the second data request includes the user identifier and the identifier of the target service, and the second data request is used to request to invoke a specified function;
the judging module is further used for judging whether the user is a target user according to the user identification received by the receiving module, wherein the target user is a user with user portrait information matched with gray characteristic information;
the determining module is further configured to determine, when the user is a target user, a third server according to the tag corresponding to each server and the identifier of the target service, where the third server is: a server for performing the specified function and having published the new service;
the forwarding module is further configured to forward the second data request to the third server determined by the determining module.
In a third aspect, an embodiment of the present invention provides an electronic device, which is characterized by including a processor, a communication interface, a memory, and a communication bus, where the processor, the communication interface, and the memory complete mutual communication through the communication bus;
a memory for storing a computer program;
and the processor is used for realizing the steps of any gray scale issuing method when executing the program stored in the memory.
In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored in the computer-readable storage medium, and when the computer program is executed by a processor, the computer program implements the steps of any one of the grayscale issuing methods.
In a fifth aspect, embodiments of the present invention further provide a computer program product including instructions, which when run on a computer, cause the computer to execute any of the above grayscale issuing methods.
The gray level publishing method, the gray level publishing device and the electronic equipment provided by the embodiment of the invention can acquire the user portrait information of the user according to the user identification carried in the user request, wherein the user portrait information is used for reflecting the attribute of the user and/or the behavior of the user. And then judging whether the user image information of the user is matched with the gray characteristic information, wherein the gray characteristic information is used for reflecting the specified attribute and/or the specified behavior. If the user portrait information matches the gray characteristic information, forwarding the data request to a first server, wherein the first server is as follows: a server that has published a new service; if the user portrait information is not matched with the gray characteristic information, the data request is forwarded to a second server, and the second server is as follows: servers that do not publish new services. According to the embodiment of the invention, whether the server which issues the new service is utilized to perform data interaction with the terminal of the user is determined according to the attribute of the user and/or the matching result of the behavior of the user and the designated attribute and/or the designated behavior, namely, whether the user is the target user is determined, and the target user can be determined according to the attribute information and the behavior habit of the user.
Of course, it is not necessary for any product or method to achieve all of the above-described advantages at the same time for practicing the invention.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the prior art descriptions will be briefly described below.
Fig. 1 is a schematic structural diagram of a gray scale publishing system according to an embodiment of the present invention;
fig. 2 is a flowchart of a gray scale publishing method according to an embodiment of the present invention;
fig. 3 is a flowchart of another gray scale publishing method according to an embodiment of the present invention;
fig. 4 is a flowchart of another gray scale publishing method according to an embodiment of the present invention;
fig. 5 is an exemplary schematic diagram of a gray scale publishing method according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of a gray scale issuing device according to an embodiment of the present invention;
fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be described below with reference to the drawings in the embodiments of the present invention.
The gray scale publishing method provided by the embodiment of the invention can be applied to the gray scale publishing system shown in fig. 1, and the system comprises the following steps: the system comprises a terminal, a load balancing server and a service system.
The terminal can use the online service provided by the service system, and the terminal sends a data request to the load balancing server when requesting the online service.
The load balancing server is used for receiving a data request sent by the terminal, then selecting a server which can serve the terminal in the service system through the user characteristic library and the gray characteristic library, and forwarding the data request to the selected server. The gray feature library is used for storing gray feature information and labels of all servers in the service system. The user feature library is used for storing user portrait information of each user in the user pool.
Optionally, the load balancing server may be a load balancer or an Application Programming Interface (API) gateway, or the load balancing server integrates the load balancer and the API gateway.
The service system includes: servers that have published new services and servers that have not published new services. The server in the service system can support the terminal to use the online service.
With reference to fig. 1, an embodiment of the present invention provides a gray scale publishing method, which is applied to a load balancing server in the gray scale publishing system shown in fig. 1, and as shown in fig. 2, the method includes:
step 201, a first data request is received.
The first data request is used for requesting online service, and the first data request comprises user identification.
In one embodiment, the user identification may be obtained from a Cookie in the first data request. The Cookie is used to store basic information (e.g., user identification) of the user.
For example, the user identifier may be a user Identity (ID).
Step 202, obtaining user portrait information of the user according to the user identification.
Wherein the user representation information is used to reflect attributes of the user and/or behaviors of the user.
In one embodiment, the user portrait information corresponding to the user identifier may be obtained from the user feature library according to the user identifier.
In the embodiment of the invention, before receiving the first data request, user portrait information of each user needs to be determined according to attribute information and behavior information of each user in a user pool; wherein, the user portrait information comprises the characteristics of the user in each dimension; then, the user portrait information corresponding to each user identifier and the user identifier is correspondingly stored in the user feature library of the gray scale distribution system shown in fig. 1.
Illustratively, the attribute information includes: sex, age, and location, etc. The behavior information includes: a system environment to be used, a browser environment to be used, a time of use and a general function for each service, and the like.
In the embodiment of the present invention, the user portrait information includes features of multiple dimensions, and taking 4 dimensions of a user ID, an Internet Protocol (IP) address, a used system environment, and a common function as examples, assuming that the user portrait information includes the features of the 4 dimensions, the user portrait information of one user may be represented as: < UID =3, ip =36.7.72.139, env = w7, func = gam >, representing that the user ID is 3, the ip address is 36.7.72.139, the system environment used is windows7 (window operating system 7), and the commonly used function is a game.
In the embodiment of the present invention, all users who have accessed the service system may be determined as users in the user pool.
Step 203, determining whether the user portrait information matches the gray feature information. If the user portrait information matches the grayscale characterization information, go to step 204; if the user portrait information does not match the grayscale characterization information, go to step 205.
Wherein the gray scale feature information is used for reflecting the specified attribute and/or the specified behavior.
The judging method specifically comprises the following steps:
step one, according to a Uniform Resource Locator (URL) included in the first data request, a target service requested by the user is obtained.
In the embodiment of the present invention, the target service may be extracted from the URL address carried in the first data request. For example: if the URL address is: http:// api. Example. Com/api/video-stat/1.0/album/summery type = movie & datatype =1, then the target service is extracted from the URL address as: video-stat, indicating that the target service is in video state.
And step two, acquiring gray characteristic information corresponding to the target service from a gray characteristic library.
Wherein the grayscale feature information includes a feature of a specified dimension.
The features in the embodiment of the invention can be basic features or advanced features, the granularity of representation of the basic features on the features is coarser, and the granularity of representation of the advanced features on the features is finer. For example: basic feature LOC = bj, which indicates that the region where the user is located is beijing; the high-level feature LOC = bj-xc represents that the region of the user is the Western city of Beijing.
It is to be understood that when the user representation information in the user pool includes a basic feature, the gradation feature information may be set as the basic feature. When the user portrait information in the user pool includes a high-level feature, the grayscale feature information may be set to a basic feature or a high-level feature.
And step three, judging whether the characteristics of the user portrait information of the user in the specified dimension are the same as or consistent with the characteristics of the gray characteristic information in the specified dimension.
If the characteristics of the user portrait information of the user in the specified dimension are the same as or consistent with the characteristics of the gray scale characteristic information in the specified dimension, matching the user portrait information of the user with the gray scale characteristic information; if the user portrait information of the user in the specified dimension is not the same as or consistent with the grayscale feature information in the specified dimension, the user portrait information of the user is not matched with the grayscale feature information. In the embodiment of the present invention, if both the features are the basic feature or the advanced feature, the relationship between the two features may be the same or different. For example: feature 1= bj, and feature 2= bj, then feature 1 and feature 2 are the same.
If one of the two features is a base feature and one is an advanced feature, the relationship of the two features may or may not be identical. For example: feature 1= bj, feature 3= bj-xc, then feature 1 and feature 3 coincide.
In the embodiment of the present invention, whether the two features match or not is determined by determining whether prefixes of the two features are the same or according to a preset correspondence between the advanced feature and the basic feature.
For example: the correspondence between the high-level features and the basic features can be shown as table one:
watch 1
Basic features High level features
1 A. B, C, D, E, F or G
a 01. 02, 03, 04 or 05
Step 204, forwarding the first data request to the first server.
The first server is a server which has issued a new service in the grayscale issuing system shown in fig. 1, and the new service is a service obtained after upgrading a target service.
Step 205, the first data request is forwarded to the second server.
The second server is a server which does not issue a new service in the gray scale issuing system shown in fig. 1.
The gray level publishing method provided by the embodiment of the invention can acquire the user portrait information of the user according to the user identification carried in the user request, wherein the user portrait information is used for reflecting the attribute of the user and/or the behavior of the user. And then judging whether the user image information of the user is matched with the gray characteristic information, wherein the gray characteristic information is used for reflecting the specified attribute and/or the specified behavior. If the user portrait information matches the gray feature information, forwarding the data request to a first server, the first server being: a server that has published a new service; if the user portrait information does not match the gray characteristic information, forwarding the data request to a second server, wherein the second server is as follows: servers that do not publish new services. According to the embodiment of the invention, whether the server which issues the new service is utilized to perform data interaction with the terminal of the user is determined according to the attribute of the user and/or the matching result of the behavior of the user and the designated attribute and/or the designated behavior, namely, whether the user is the target user is determined, and the target user can be determined according to the attribute information and the behavior habit of the user.
Alternatively, in the embodiment corresponding to fig. 2, if the user portrait information matches the grayscale characterization information, as shown in fig. 3, the first data request may be processed as follows.
Step 301, the load balancing server determines the first server according to the label corresponding to each server and the identifier of the target service.
The first server is a server which has issued a new service in the grayscale issuing system shown in fig. 1, and the new service is a service obtained after the target service is upgraded.
In the embodiment of the present invention, the labels corresponding to the servers in the service system of the grayscale distribution system shown in fig. 1 may be obtained from the grayscale feature library. The tags of the servers in the service system may include: the IP of the server (or the ID of the server), the service corresponding to the server, whether the server has issued a new service, and the function corresponding to the server.
For example: the label of one server of the service system is: ID =1, feature = PERF1, version = Gray1, function = Response1. The service corresponding to the server with the ID of 1 is PERF1, and a new service is issued for responding to the first data request.
Another example is: the label of one server of the service system is: ID =2, feature = PERF1, version = Gray1. The server corresponding to the ID 2 is denoted PERF1 and a new service has been published for responding to the first data request. It will be appreciated that Gray1 may be set to indicate that the server has published a new service and the server is used to respond to the first data request (Gray 2 may be set to indicate that the server has published a new service and the server is used to obtain the page parameters).
It can be understood that, if there are multiple servers that have issued new services in the service system of the gray scale publishing system shown in fig. 1, one of the multiple servers may be selected as the first server responding to the first data request, or the server with the lowest load may be selected as the first server responding to the first data request according to the load conditions of the multiple servers, so as to achieve the effect of balancing the loads of the servers in the service system.
In step 302, the load balancing server forwards the first data request to the first server.
In the embodiment of the present invention, after step 302, the embodiment of the present invention includes two implementation manners:
in one embodiment, if the load balancing server receives the first data response, step 303 is executed. The load balancing server receives the first data response, which indicates that the first server can independently complete the response to the first data request.
In another embodiment, if the load balancing server receives the second data request, step 304 to step 307 are executed. And the load balancing server receives the second data request, which indicates that the first server cannot directly respond to the first data request and needs to call functions executed by other servers which issue new services.
Wherein, the second data request may include: a user identification and an identification of a target service, the second data request requesting invocation of a specified function. Optionally, when the first server needs to invoke the computing function, the second data request may also carry parameters required for using the computing function.
Step 303, the load balancing server receives the first data response sent by the first server, and forwards the first data response to the terminal.
And step 304, the load balancing server judges whether the user is a target user or not according to the user identification. If the user is the target user, step 305 is performed.
The target user is a user with user portrait information matched with the gray feature information. (the method for determining whether the user portrait information of the user matches the gray feature information is the same as that of step 203, and is not repeated here.)
It should be noted that the user profile information of each user in the user pool is stored in the user feature library; labels corresponding to all servers of the service system are stored in the gray level feature library; the gray level release rule base stores gray level feature information corresponding to each service.
And 305, the load balancing server determines a third server according to the label corresponding to each server in the service system and the identifier of the target service.
Wherein the third server is: a server for executing a specified function and having issued a new service in the service system of the gradation issuance system shown in fig. 1.
In step 306, the load balancing server forwards the second data request to the third server.
Optionally, the load balancing server may receive one or more second data requests sent by the first server, where each second data request is used to request to invoke a function.
And 307, the load balancing server receives the first data response sent by the first server and forwards the first data response to the terminal.
In the embodiment of the present invention, the load balancing server shown in fig. 3 is the load balancing server shown in fig. 1, and the load balancing server integrates a load balancer and an API gateway. Wherein steps 301-303 and 307 are performed by the integrated load balancer; steps 304-306 are performed by the integrated API gateway.
Alternatively, in the embodiment corresponding to fig. 2, if the user portrait information does not match the gray scale feature information, as shown in fig. 4, the first data request may be processed as follows.
Step 401, the load balancing server determines a second server according to the label corresponding to each server and the identifier of the target service.
The second server is a server that does not issue a new service in the gray scale issuing system shown in fig. 1, and the new service is a service obtained after the target service is upgraded.
In the embodiment of the present invention, the labels corresponding to the servers in the service system of the grayscale distribution system shown in fig. 1 may be obtained from the grayscale feature library. The tags of the servers in the service system may include: the IP of the server (or the ID of the server), the service corresponding to the server, whether the server has issued a new service, and the function corresponding to the server.
For example: the label of one server of the service system is: ID =3, feature = PERF1, version = White1, function = Get1. The service corresponding to the server with the ID of 3 is PERF1, and no new service is issued and used for acquiring data.
Another example is: the label of one server of the service system is: ID =4, feature = PERF1, version = White2. The service corresponding to the server with the ID of 4 is PERF1, and no new service is issued and used for acquiring the page parameters. It will be appreciated that White2 may be set to indicate that the server has not published a new service and the server is used to obtain the page parameters (White 1 may be set to indicate that the server has not published a new service and the server is used to respond to the first data request).
It can be understood that, if there are a plurality of servers that do not issue new services and execute the same function in the service system of the gray scale distribution system shown in fig. 1, the second data request may be received from any one of the plurality of servers, or the server with the lowest load may be selected to receive the second data request according to the load conditions of the plurality of servers, so as to achieve the effect of balancing the loads of the servers in the service system.
At step 402, the load balancing server forwards the first data request to the second server.
In the embodiment of the present invention, after step 402, the embodiment of the present invention includes two implementation manners:
in one embodiment, if the load balancing server receives the first data response, step 403 is executed. The load balancing server receives the first data response, which indicates that the second server can independently complete the response to the first data request.
In another embodiment, if the load balancing server receives the second data request, step 404 to step 407 are performed. And the load balancing server receives the second data request, which indicates that the second server cannot directly respond to the first data request and needs to call functions executed by other servers which do not issue new services.
The second data request may include: a user identification and an identification of a target service, the second data request requesting to invoke a specified function. Optionally, when the second server needs to invoke the computing function, the second data request may also carry parameters required for using the computing function.
In step 403, the load balancing server receives the first data response sent by the second server, and forwards the first data response to the terminal.
In step 404, the load balancing server determines whether the user is a target user according to the user identifier.
The target user is a user with user portrait information matched with the gray feature information. (the method for determining whether the user portrait information of the user matches the gray feature information is the same as that in step 203, and is not repeated here.)
Step 405, the load balancing server determines a fourth server according to the label corresponding to each server in the service system and the identifier of the target service.
Wherein, the fourth server is: a server for executing a specified function and not issuing a new service in the service system of the gradation issuance system shown in fig. 1.
At step 406, the load balancing server forwards the second data request to the fourth server.
Optionally, the load balancing server may receive one or more second data requests sent by the second server, where each second data request is used to request to invoke a function.
Step 407, the load balancing server receives the first data response sent by the second server, and forwards the first data response to the terminal.
In the embodiment of the present invention, the load balancing server shown in fig. 4 is the load balancing server shown in fig. 1, and the load balancing server integrates a load balancer and an API gateway. Wherein steps 401-403 and 407 are performed by the integrated load balancer; steps 404-406 are performed by the integrated API gateway.
Optionally, after the gray release is completed, whether the gray verification passes may be determined according to the use condition of the target user for the new service (for example, whether the new service is running normally may be determined according to the use log of the new service). And if the gray scale verification is passed, new service can be issued to each server corresponding to the target service.
The gray scale publishing method provided by the embodiment of the invention can determine whether the user is the target user according to the matching result of the user attribute and/or the user behavior and the designated attribute and/or the designated behavior, and can determine the target user according to the attribute information and the behavior habit of the user.
In addition, the gray release method provided by the embodiment of the invention can realize gray release of the online service based on the user portrait information, and can adjust in time if a new version of the online service has a problem, thereby avoiding large-scale influence, improving the stability of the service system and improving the user experience.
The load balancing server in fig. 3 and fig. 4 integrates the load balancer and the API gateway, and in the embodiment of the present invention, the load balancer and the API gateway may also be two independent devices, and the following describes a gray scale publishing method in this scenario.
Fig. 5 is an exemplary schematic diagram of another gray scale issuing method provided in the embodiment of the present invention, and with reference to fig. 5, the gray scale issuing method provided in the embodiment of the present invention is as follows:
the method comprises the steps that firstly, a load balancer receives a first data request sent by a terminal, then, a user identification and a target service are determined according to the first data request, user portrait information corresponding to the user identification is obtained from a gray feature library, and gray feature information corresponding to the target service is obtained from the gray feature library. And determining whether to forward the first data request to a server which has issued a new service in the service system according to the user portrait information corresponding to the user identification and the gray characteristic information corresponding to the target service.
If the first data request is determined to be forwarded to a server which has issued a new service in the service system, executing the second step to the fifth step; and if the first data request is determined to be forwarded to the server which does not issue the new service in the service system, executing the sixth step to the ninth step.
In a second step, the load balancer forwards the first data request to the server 1 in the service system.
And thirdly, if the server 1 needs to call the specified function 1 and the specified function 2, the server 1 sends two second data requests to the API gateway. One of the second data requests is for requesting a call to the specified function 1 and the other second data request is for requesting a call to the specified function 2.
If the server 3 is used for executing the specified function 1, the server 4 is used for executing the specified function 2, and both the server 3 and the server 4 are servers which issue new services, the API gateway forwards the second data request requesting to call the specified function 1 to the server 3, and forwards the second data request requesting to call the specified function 2 to the server 4.
The API gateway maintains a server set for executing the specified function, can forward the second data request, and can achieve the effect of load balancing.
And fourthly, the API gateway receives the second data response sent by the server 3 and the server 4 and forwards the second data response to the server 1.
And fifthly, the load balancer receives a first data response which is sent by the server 1 and responds to the first data request, and forwards the first data response to the terminal.
And sixthly, the load balancer forwards the first data request to the server 2 in the service system.
And seventhly, if the server 2 needs to call the specified function 3, the server 2 sends a second data request for requesting to call the specified function 3 to the API gateway.
If the server 5 is used to execute the specified function 3 and the server 5 is a server that does not issue a new service, the API gateway forwards a second data request requesting a call to the specified function 3 to the server 5.
And step eight, the API gateway receives the second data response sent by the server 5 and forwards the second data response to the server 2.
And step nine, the load balancer receives a first data response which is sent by the server 2 and responds to the first data request, and forwards the first data response to the terminal.
Corresponding to the above method embodiment, as shown in fig. 6, an embodiment of the present invention provides a gray scale distribution apparatus, which is applied to a load balancing server in the gray scale distribution system shown in fig. 1, and the apparatus includes: a receiving module 601, an obtaining module 602, a judging module 603 and a forwarding module 604;
a receiving module 601, configured to receive a first data request, where the first data request includes a user identifier;
an obtaining module 602, configured to obtain user portrait information of the user according to the user identifier received by the receiving module, where the user portrait information is used to reflect an attribute of the user and/or a behavior of the user;
the judging module 603 is configured to judge whether the user portrait information acquired by the acquiring module matches with grayscale feature information, where the grayscale feature information is used to reflect a specified attribute and/or a specified behavior;
a forwarding module 604, configured to forward the first data request to a first server when the user portrait information matches the grayscale characteristic information, where the first server is: a server that has published a new service;
the forwarding module 604 is further configured to forward the first data request to a second server when the user portrait information does not match the grayscale feature information, where the second server is: servers that do not publish new services.
Optionally, the apparatus may further include: a determining module and a storing module;
the determining module is used for determining user portrait information of each user according to the attribute information and the behavior information of each user in the user pool, wherein the user portrait information comprises the characteristics of the user in each dimension;
the storage module is used for correspondingly storing the user portrait information corresponding to each user identification and the user identification into a user characteristic library;
the obtaining module 602 is specifically configured to: and acquiring user portrait information corresponding to the user identification from the user feature library.
Optionally, the first data request further includes a uniform resource locator URL; the determining module 603 may be specifically configured to:
according to the URL, acquiring a target service requested by a user;
acquiring gray characteristic information corresponding to a target service, wherein the gray characteristic information comprises a characteristic of a specified dimension;
judging whether the characteristics of the user portrait information in the specified dimension are the same as or consistent with the characteristics of the gray characteristic information in the specified dimension;
when the characteristics of the user portrait information in the specified dimension are the same as or consistent with the characteristics of the gray scale characteristic information in the specified dimension, determining that the user portrait information is matched with the gray scale characteristic information;
when the features of the user portrait information in the specified dimension are not the same as or match the features of the grayscale feature information in the specified dimension, it is determined that the user portrait information does not match the grayscale feature information.
Optionally, the forwarding module 604 may be specifically configured to:
when the user portrait information is matched with the gray characteristic information, determining a first server according to the labels corresponding to the servers and the identification of the target service, wherein the new service is obtained after the target service is upgraded;
forwarding the first data request to a first server;
when the user portrait information is not matched with the gray characteristic information, determining a second server according to the labels corresponding to the servers and the identification of the target service;
the first data request is forwarded to a second server.
Optionally, the receiving module 601 is further configured to receive a second data request sent by the first server, where the second data request includes a user identifier and an identifier of a target service, and the second data request is used to request to invoke a specified function;
the judging module 603 is further configured to judge, according to the user identifier received by the receiving module, whether the user is a target user, where the target user is a user whose user portrait information matches the grayscale feature information;
the determining module is further configured to determine, when the user is the target user, a third server according to the tag corresponding to each server and the identifier of the target service, where the third server is: a server for performing a specified function and having released a new service;
the forwarding module 604 is further configured to forward the second data request to the third server determined by the determining module.
An embodiment of the present invention further provides an electronic device, as shown in fig. 7, including a processor 701, a communication interface 702, a memory 703 and a communication bus 704, where the processor 701, the communication interface 702, and the memory 703 complete mutual communication through the communication bus 704,
a memory 703 for storing a computer program;
the processor 701 is configured to implement the steps executed by the load balancing server in the foregoing method embodiment when executing the program stored in the memory 703.
The communication bus mentioned in the electronic device may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The communication bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown, but this does not mean that there is only one bus or one type of bus.
The communication interface is used for communication between the electronic equipment and other equipment.
The Memory may include a Random Access Memory (RAM) or a Non-Volatile Memory (NVM), such as at least one disk Memory. Alternatively, the memory may be at least one memory device located remotely from the processor.
The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), application Specific Integrated Circuits (ASICs), field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components.
In another embodiment of the present invention, a computer-readable storage medium is further provided, in which a computer program is stored, and the computer program realizes the steps of any one of the above gray scale publishing methods when being executed by a processor.
In yet another embodiment provided by the present invention, there is also provided a computer program product containing instructions which, when run on a computer, cause the computer to perform any of the above described embodiments of the method of gray scale publishing.
In the above embodiments, all or part of the implementation may be realized by software, hardware, firmware, or any combination thereof. When implemented in software, it may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the invention to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website site, computer, server, or data center to another website site, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid State Disk (SSD)), among others.
It should be noted that, in this document, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus 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, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising a," "8230," "8230," or "comprising" does not exclude the presence of additional like elements in a process, method, article, or apparatus that comprises the element.
All the embodiments in the present specification are described in a related manner, and the same and similar parts among the embodiments may be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, as for the apparatus embodiment, since it is substantially similar to the method embodiment, the description is relatively simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The above description is only for the preferred embodiment of the present invention, and is not intended to limit the scope of the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention shall fall within the protection scope of the present invention.

Claims (9)

1. A gray scale publishing method, comprising:
receiving a first data request, wherein the first data request comprises a user identifier and a Uniform Resource Locator (URL);
acquiring a target service of the first data request according to the URL;
acquiring user portrait information of the user according to the user identification, wherein the user portrait information is used for reflecting the behavior of the user, or the attribute of the user and the behavior of the user;
judging whether the user portrait information is matched with gray characteristic information or not, wherein the gray characteristic information is used for reflecting a specified behavior, or specifying an attribute and the specified behavior; the user portrait information includes basic features or advanced features, the grayscale feature information includes basic features or advanced features, the feature granularity represented by the basic features is larger than the feature granularity represented by the advanced features, and when the feature granularities corresponding to the user portrait information and the grayscale feature information are different, the determining whether the user portrait information and the grayscale feature information are matched includes: judging whether prefixes of corresponding features of the user portrait information and the gray feature information are the same or not, or determining whether the user portrait information is matched with the gray feature information or not according to a corresponding relation between a preset high-level feature and a basic feature;
if the user portrait information matches the grayscale feature information, forwarding the first data request to a first server, where the first server is: a server that has published a new service;
or, if the user portrait information does not match the grayscale feature information, forwarding the first data request to a second server, where the second server is: a server that does not publish the new service;
the forwarding the first data request to a first server comprises:
determining the first server according to the label corresponding to each server and the identification of the target service, wherein the new service is obtained after the target service is upgraded;
forwarding the first data request to the first server;
receiving a second data request sent by the first server, wherein the second data request comprises the user identifier and the identifier of the target service, and the second data request is used for requesting to call a specified function;
judging whether the user is a target user or not according to the user identification, wherein the target user is a user with user portrait information matched with gray characteristic information;
if the user is a target user, determining a third server according to the label corresponding to each server and the identification of the target service, wherein the third server is as follows: a server for performing the specified function and having published the new service;
forwarding the second data request to the third server.
2. The method of claim 1, prior to said receiving the first data request, further comprising:
determining user portrait information of each user according to attribute information and behavior information of each user in a user pool, wherein the user portrait information comprises characteristics of the user in each dimension;
correspondingly storing each user identification and user portrait information corresponding to the user identification into a user characteristic library;
the obtaining of the user portrait information of the user according to the user identifier includes:
and acquiring user portrait information corresponding to the user identification from the user feature library.
3. The method of claim 2, wherein determining whether the user representation information matches grayscale feature information comprises:
acquiring gray characteristic information corresponding to the target service, wherein the gray characteristic information comprises a characteristic of a specified dimension;
judging whether the characteristics of the user portrait information in the specified dimension are the same as or consistent with the characteristics of the gray characteristic information in the specified dimension;
if the characteristics of the user portrait information in the specified dimension are the same as or consistent with the characteristics of the gray scale characteristic information in the specified dimension, determining that the user portrait information is matched with the gray scale characteristic information;
or if the characteristic of the user portrait information in the specified dimension is different from or does not accord with the characteristic of the gray scale characteristic information in the specified dimension, determining that the user portrait information is not matched with the gray scale characteristic information.
4. The method of claim 3, wherein forwarding the first data request to a second server comprises:
determining the second server according to the label corresponding to each server and the identification of the target service;
forwarding the first data request to the second server.
5. A gradation issuance apparatus, characterized by comprising:
the device comprises a receiving module, a sending module and a receiving module, wherein the receiving module is used for receiving a first data request which comprises a user identifier and a Uniform Resource Locator (URL);
the acquisition module is used for acquiring the target service of the first data request according to the URL; acquiring user portrait information of a user according to the user identification received by the receiving module, wherein the user portrait information is used for reflecting the behavior of the user, or the attribute of the user and the behavior of the user;
the judging module is used for judging whether the user portrait information acquired by the acquiring module is matched with gray characteristic information, and the gray characteristic information is used for reflecting a specified behavior or specifying an attribute and a specified behavior; the user portrait information includes a basic feature or an advanced feature, the grayscale feature information includes a basic feature or an advanced feature, a feature granularity represented by the basic feature is larger than a feature granularity represented by the advanced feature, and when the feature granularity corresponding to the user portrait information is different from the feature granularity corresponding to the grayscale feature information, the determining module is specifically configured to: judging whether prefixes of corresponding features of the user portrait information and the gray feature information are the same or not, or determining whether the user portrait information is matched with the gray feature information or not according to a preset corresponding relation between high-level features and basic features;
a forwarding module, configured to forward the first data request to a first server when the user portrait information matches the grayscale feature information, where the first server is: a server that has published a new service;
the forwarding module is further configured to forward the first data request to a second server when the user portrait information does not match the grayscale feature information, where the second server is: a server that does not publish the new service;
the forwarding module is specifically configured to:
when the user portrait information is matched with the gray feature information, determining the first server according to the labels corresponding to the servers and the identification of the target service, wherein the new service is obtained after the target service is upgraded;
forwarding the first data request to the first server;
the receiving module is further configured to receive a second data request sent by the first server, where the second data request includes the user identifier and the identifier of the target service, and the second data request is used to request to invoke a specified function;
the judging module is further used for judging whether the user is a target user according to the user identification received by the receiving module, wherein the target user is a user with user portrait information matched with gray characteristic information;
the determining module is further configured to determine, when the user is a target user, a third server according to the tag corresponding to each server and the identifier of the target service, where the third server is: a server for performing the specified function and having published the new service;
the forwarding module is further configured to forward the second data request to the third server determined by the determining module.
6. The apparatus of claim 5, further comprising: the device comprises a determining module and a storing module;
the determining module is used for determining user portrait information of each user according to attribute information and behavior information of each user in the user pool, wherein the user portrait information comprises characteristics of the user in each dimension;
the storage module is used for correspondingly storing the user portrait information corresponding to each user identification and the user identification into a user characteristic library;
the acquisition module is specifically configured to: and acquiring user portrait information corresponding to the user identification from the user feature library.
7. The apparatus of claim 6, wherein the determining module is specifically configured to:
acquiring gray characteristic information corresponding to the target service, wherein the gray characteristic information comprises a characteristic of a specified dimension;
judging whether the characteristics of the user portrait information in the specified dimension are the same as or consistent with the characteristics of the gray characteristic information in the specified dimension;
determining that the user portrait information matches the grayscale feature information when the features of the user portrait information in the specified dimension are the same as or consistent with the features of the grayscale feature information in the specified dimension;
when the features of the user portrait information in the specified dimension are not the same as or consistent with the features of the grayscale feature information in the specified dimension, determining that the user portrait information does not match the grayscale feature information.
8. The apparatus according to claim 7, wherein the forwarding module is specifically configured to:
when the user portrait information is not matched with the gray characteristic information, determining the second server according to the labels corresponding to the servers and the identification of the target service;
forwarding the first data request to the second server.
9. The electronic equipment is characterized by comprising a processor, a communication interface, a memory and a communication bus, wherein the processor and the communication interface are used for realizing the communication between the processor and the memory through the communication bus;
a memory for storing a computer program;
a processor for implementing the method steps of any one of claims 1 to 4 when executing a program stored in the memory.
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