CN111240737B - Redis-based dynamic service parameter configuration method - Google Patents
Redis-based dynamic service parameter configuration method Download PDFInfo
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Abstract
The invention discloses a method for configuring dynamic service parameters based on Redis, and relates to the technical field of Internet. The invention comprises the steps of establishing a database model supporting dynamic configuration business parameters and establishing a cache API module based on Java language: and packaging a set of dynamic service parameter loader based on the Redis database, and caching configured parameters into the Redis database when the server is started, so as to provide functions of real-time query, real-time maintenance and real-time refreshing of service parameters. According to the invention, by adopting the Redis as the cache server of the service parameters, the read-write efficiency of the service parameters can be greatly improved, and the problem of parameter synchronization among a plurality of application servers in a cluster environment is solved; meanwhile, the data model of the dynamic service parameters can be used for realizing flexible configuration and maintenance of the service parameters, reducing the design, use and maintenance difficulties of the service parameters and improving the development, test and implementation efficiency.
Description
Technical Field
The invention belongs to the technical field of Internet, and particularly relates to a method for configuring dynamic service parameters based on Redis.
Background
With the development of the internet and software industry, various industries have used more and more software products. To meet different customer sites, software products typically require personalized configuration of parameters necessary for software operation according to the actual situation of the customer, thereby meeting the differentiated requirements of each site. Therefore, a flexible service parameter configuration and management method is becoming more important. Moreover, application software often adopts clustered deployment based on the high scalability and availability of software products. When modifying configuration parameters on a server in a clustered environment, to ensure consistency of configuration parameters for multiple servers in the clustered environment, the modified parameters must be synchronized to other servers. Therefore, a simple and efficient configuration parameter synchronization method is also important.
Aiming at parameter configuration and management schemes, the following two main modes exist at present:
scheme one: and managing through the configuration file. The application software configures the required parameters in the file, and when the software is started, relevant parameters are loaded from the file, so that the software can normally run. This approach is only suitable for the case of fewer parameters in the configuration file, and when the number of parameters is large, the parameters are searched and modified from the file, which is difficult to operate and is easy to make mistakes;
scheme II: and managing through a database parameter table. The application software maintains the required parameters in the database table, and when the software is started, the relevant configuration parameters are obtained from the database, so that the software can normally run. When the method is adopted, the database is required to be queried each time the service parameters are acquired in the running process of the application software, so that the pressure of a database server is increased, and the overall performance of the software product is reduced.
Aiming at the scheme for parameter synchronization in the cluster environment, the following two main modes exist at present:
scheme 1: after a certain server modifies the configuration file, the configuration file is deployed on each server of the cluster environment, and parameter synchronization among a plurality of application servers is completed. In the scheme, the manual deployment operation is complicated, and the error is very easy to occur;
scheme 2: in the database parameter table management mode, all the servers are connected with the same database, so that the parameter synchronization problem can be avoided. In the scheme, all servers need to be connected with a database for acquiring parameters, and the performance bottleneck is large.
Disclosure of Invention
The invention aims to provide a dynamic service parameter configuration method based on Redis, which can greatly improve the read-write efficiency of service parameters by adopting the Redis as a cache server of the service parameters, solve the problem of parameter synchronization among a plurality of application servers in a cluster environment, improve the flexibility of service parameter configuration in the software design and code development process, and reduce the difficulty of software development and implementation deployment.
In order to solve the technical problems, the invention is realized by the following technical scheme:
a method for configuring dynamic service parameters based on Redis comprises the following steps:
establishing a database model supporting dynamic configuration service parameters;
packaging a dynamic service parameter loader based on a Redis database, and caching configured parameters into the Redis database when a server is started;
based on the Redis database and the database model supporting the dynamic configuration service parameters, a cache API module is established, and parameter change is enabled to be effective immediately by refreshing the cache function.
Optionally, the method further comprises:
a foreground interaction module is established, the foreground interaction module supports the addition, deletion and modification of dynamic service parameters from a foreground, and the foreground interaction module comprises a service parameter definition module and a service parameter maintenance module;
the service parameter definition module is used for defining, modifying and deleting service parameter types;
the service parameter maintenance module is used for configuring corresponding service parameter examples according to the selected service parameter types.
Optionally, the service parameter definition module is further used for maintaining, creating and defining new parameter types of parameter basic information and configuring specific parameter attributes for the created service parameter types;
wherein, the parameter basic information includes:
a service parameter name, wherein the service parameter name is a name describing the parameter;
and (3) service parameter coding: the service parameter codes are unique identifiers of the service parameters in the system;
whether leaf parameters: describing whether the parameter is a parent node or a leaf node;
service parameter description: describing the use of the parameter;
wherein, the parameter attribute includes:
a field name, the field name being a field attribute in the parameter;
a field code, the field code being a unique code for the field;
a field length, the field length being a maximum length of the field;
and the field sequence is used for controlling the display sequence of the field in the business parameter maintenance module table.
Optionally, the specific method for configuring the corresponding service parameter instance by the service parameter maintenance module according to the selected service parameter type includes:
by clicking a new button, a parameter instance is maintained for the currently defined parameter type, and the maximum length of each field attribute of the parameter accords with the field length maintained by the parameter basic information;
after one parameter instance is selected, editing and deleting operations are performed.
Optionally, the database model includes a dynamic service parameter definition entity table, a dynamic service parameter field definition entity table, and a dynamic service parameter field data instance table;
the dynamic service parameter definition entity table stores service parameter type main body data, wherein the service parameter type main body data comprises a unique identifier, a service parameter code, a service parameter name, whether leaf parameters, a unique identifier of an upper-level parameter and remarks;
the dynamic service parameter field definition entity table stores service parameter type field related data, wherein the service parameter type field related data comprises unique identification, service parameter coding, field name, field length, field ordering and remarks;
the dynamic service parameter field data instance table stores service parameter instance data corresponding to the service parameter type, wherein the service parameter instance data corresponding to the service parameter type comprises a unique identifier, a field code, a group ID and a field value.
Optionally, the method for caching the configured parameters into the Redis database when the server is started based on the Redis database packaging dynamic service parameter loader comprises the following steps:
traversing a service parameter definition table, and completely storing the service parameter definition table into an ArrayList set according to service parameter codes;
according to the relation between the dynamic service parameter field definition entity table, the dynamic service parameter field data instance table and the dynamic service parameter definition entity table, respectively storing the instances corresponding to the service parameters into the HashMap according to the service parameter codes;
saving the service parameter instance HashMap into a set ArrayList;
defining a List data structure in Redis, and caching the service parameter instance set ArrayList into the List data structure through a method provided by Jeddis.
Optionally, the calling API may flexibly obtain any target parameter or parameter set from the dynamic service parameter set.
Optionally, the method for calling the API to obtain any target parameter or parameter group from the dynamic service parameter set includes:
acquiring a target parameter Map or a parameter group List < Map > from a List data structure through an incoming service parameter code based on a Jeddis encapsulation API, thereby acquiring all configuration data of the service parameter;
based on the Jeddis packaging API, the target parameter Map is obtained from the List data structure according to the filtering condition by entering the service parameter coding and filtering condition, thereby obtaining all service configuration data of the changed parameters.
Optionally, the method for providing the refresh cache function based on the Redis database and the dynamic service parameter database model comprises the following steps:
the parameters are obtained again from the database model through the coding of the incoming service parameters based on the Jeddis encapsulation API and are saved in the memory Redis database again;
all the service parameters are obtained from the database model based on the Jeddis encapsulation API and are saved in the memory Redis database again.
Optionally, when the buffer API module is built based on Java language, a cluster environment of Redis is built, at least 3 nodes of Master and Slave are configured, and synchronization and availability of buffering are realized by using a Redis Master-Slave copy strategy and a Redis Sentinel architecture.
The invention has the following beneficial effects:
the invention adopts Redis as the cache server of the service parameters, can greatly improve the read-write efficiency of the service parameters, solves the problem of parameter synchronization among a plurality of application servers in a cluster environment, improves the flexibility of service parameter configuration in the software design and code development process, and reduces the difficulty of software development and implementation deployment; the service parameters can be flexibly configured and maintained. And the design, use and maintenance difficulties of the service parameters are reduced.
Of course, it is not necessary for any one product to practice the invention to achieve all of the advantages set forth above at the same time.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of an implementation method of Redis-based dynamic service parameters of the present invention;
FIG. 2 is a functional diagram of a database model according to the present invention;
FIG. 3 is a functional diagram of a service parameter definition module according to the present invention;
fig. 4 is a functional diagram of a service parameter maintenance module in the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1-4, the present invention is a method for configuring dynamic service parameters based on dis, comprising the following steps:
SS01: designing a set of simple and easy-to-operate dynamic parameter maintenance pages, and establishing a foreground interaction module;
SS02: establishing a database model supporting dynamic configuration service parameters;
SS03: a buffer API module is established based on Java language:
wherein, S031: packaging a dynamic service parameter loader based on a Redis database, and caching configured parameters into the Redis database when a server is started;
s032: based on the Redis database and the dynamic service parameter database model, a cache API module is established;
s033: based on the Redis database and the dynamic service parameter database model, a refreshing cache function is provided, so that parameter change is immediately effective.
The foreground interaction module supports adding, deleting and modifying dynamic service parameters from a foreground, and comprises a service parameter definition module and a service parameter maintenance module; the service parameter definition module is used for defining, modifying and deleting the service parameter types; the service parameter maintenance module is used for configuring corresponding service parameter examples according to the selected service parameter types.
Wherein, as shown in fig. 3, the service parameter definition module is further used for maintaining, creating and defining new parameter types of parameter basic information and configuring specific parameter attributes (supporting configuration of any plurality of attributes) for the created service parameter types; wherein, the parameter basic information includes: business parameter names, which are names describing the parameters; and (3) service parameter coding: the service parameter codes are unique identifiers of the service parameter in the system; whether leaf parameters: describing whether the parameter is a father node or a leaf node (supporting parameter father-son relationship, upper-lower relationship maintenance); a service parameter description, which is the use of describing the parameter; wherein, the parameter attribute includes: a field name, the field name being a field attribute in the parameter; a field code, the field code being a unique code for the field; a field length, the field length being a maximum length of the field; the field sequence is used for controlling the display sequence of the field in the service parameter maintenance module table.
As shown in fig. 4, the service parameter maintenance module configures a corresponding service parameter instance according to the selected service parameter type by: s01: by clicking a new button, a parameter instance is maintained for the currently defined parameter type, and the maximum length of each field attribute of the parameter must conform to the field length maintained by the parameter basic information; s02: after one parameter instance is selected, editing and deleting operations are performed.
Wherein, as shown in fig. 2, the database model comprises a dynamic service parameter definition entity table, a dynamic service parameter field definition entity table and a dynamic service parameter field data instance table; the dynamic service parameter definition entity table stores service parameter type main body data, wherein the service parameter type main body data comprises a unique identifier, a service parameter code, a service parameter name, a leaf parameter or not, a superior parameter unique identifier and remarks; the dynamic service parameter field definition entity table stores service parameter type field related data, wherein the service parameter type field related data comprises unique identification, service parameter coding, field name, field length, field ordering and remarks; the dynamic service parameter field data instance table stores service parameter instance data corresponding to the service parameter type, wherein the service parameter instance data corresponding to the service parameter type comprises a unique identifier, a field code, a group ID and a field value.
In the step S031, a set of dynamic service parameter loader is packaged based on the Redis database, and when the server is started, the specific method for caching the configured parameters into the Redis database is as follows:
s0311: traversing a service parameter definition table, and completely storing the service parameter definition table into an ArrayList set according to service parameter codes;
s0312: according to the relation between the dynamic service parameter field definition entity table, the dynamic service parameter field data instance table and the dynamic service parameter definition entity table, respectively storing the instances corresponding to the service parameters into the HashMap according to the service parameter codes;
s0313: saving the service parameter instance HashMap into a set ArrayList;
s0314: defining a List data structure in Redis, and caching the service parameter instance set ArrayList into the List data structure through a method provided by Jeddis.
Wherein, the API in step S032 is called to flexibly obtain any target parameter or parameter group from the dynamic service parameter set. The method for calling the API in the step S032 to acquire any target parameter or parameter group from the dynamic service parameter set is as follows:
s0321: acquiring a target parameter Map or a parameter group List < Map > from a List data structure through an incoming service parameter code based on a Jeddis encapsulation API, thereby acquiring all configuration data of the service parameter;
s0322: based on the Jeddis packaging API, the target parameter Map is obtained from the List data structure according to the filtering condition by entering the service parameter coding and filtering condition, thereby obtaining all service configuration data of the changed parameters.
In step S033, a refresh cache function is provided based on the Redis database and the dynamic service parameter database model, and the method for immediately effecting the operation change of adding, deleting and modifying the service parameters without restarting the server is as follows:
s0331: the parameters are re-acquired from the database model through the coding of the incoming service parameters based on the Jeddis encapsulation API and are re-saved in the memory Redis database, so that the effect of refreshing a certain parameter in real time is achieved;
s0332: all service parameters are obtained from the database model based on the Jeddis encapsulation API and are saved in the memory Redis database again, so that the effect of fully refreshing the parameter cache is achieved.
When the buffer API module is built based on Java language in the step SS03, a cluster environment of Redis is built, at least 3 nodes of Master and Slave are configured, and buffer synchronization and high availability are realized by using a Redis Master-Slave copy strategy and a Redis Sentinel (Sentinel) architecture.
The invention discloses a method for configuring dynamic service parameters based on Redis, which comprises a front-end maintenance page based on a dynamic service parameter model, a service parameter model capable of being configured dynamically, a dynamic parameter cache design based on Redis, a dynamic service parameter loader, a parameter acquisition public API, cache real-time refreshing and the like, wherein the Redis is adopted as a cache server of the service parameters, so that the read-write efficiency of the service parameters can be greatly improved, the problem of parameter synchronization in a multi-server cluster is solved, the characteristics of building a product scheme with high concurrency and high reliability are achieved, the flexibility of service parameter configuration in the software design and code development process is improved, and the difficulty of software development and implementation deployment is reduced; the service parameters can be flexibly configured and maintained, and the design, use and maintenance difficulties of the service parameters are reduced.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (9)
1. The method for configuring the dynamic service parameters based on Redis is characterized by comprising the following steps:
designing a set of simple and easy-to-operate dynamic parameter maintenance pages, and establishing a foreground interaction module;
establishing a database model supporting dynamic configuration service parameters;
based on the Redis database encapsulation dynamic service parameter loader, when the server is started, the configured parameters are cached in the Redis database, and the specific method for caching the configured parameters in the Redis database is as follows:
traversing a service parameter definition table, and completely storing the service parameter definition table into an ArrayList set according to service parameter codes;
according to the relation between the dynamic service parameter field definition entity table, the dynamic service parameter field data instance table and the dynamic service parameter definition entity table, respectively storing the instances corresponding to the service parameters into the HashMap according to the service parameter codes;
saving the service parameter instance HashMap into a set ArrayList;
defining a List data structure in Redis, and caching a service parameter instance set ArrayList into the List data structure by a method provided by Jeddis;
based on the Redis database and the database model supporting the dynamic configuration service parameters, a cache API module is established, and parameter change is enabled to be effective immediately by refreshing the cache function.
2. The method for configuring dynamic service parameters based on Redis according to claim 1, further comprising:
a foreground interaction module is established, the foreground interaction module supports the addition, deletion and modification of dynamic service parameters from a foreground, and the foreground interaction module comprises a service parameter definition module and a service parameter maintenance module;
the service parameter definition module is used for defining, modifying and deleting service parameter types;
the service parameter maintenance module is used for configuring corresponding service parameter examples according to the selected service parameter types.
3. The method for configuring dynamic service parameters based on Redis according to claim 2, wherein:
the service parameter definition module is also used for maintaining, creating and defining new parameter types of parameter basic information and configuring specific parameter attributes for the created service parameter types;
wherein, the parameter basic information includes:
a service parameter name, wherein the service parameter name is a name describing the parameter;
and (3) service parameter coding: the service parameter codes are unique identifiers of the service parameters in the system;
whether leaf parameters: describing whether the parameter is a parent node or a leaf node;
service parameter description: describing the use of the parameter;
wherein, the parameter attribute includes:
a field name, the field name being a field attribute in the parameter;
a field code, the field code being a unique code for the field;
a field length, the field length being a maximum length of the field;
and the field sequence is used for controlling the display sequence of the field in the business parameter maintenance module table.
4. The method for configuring dynamic service parameters based on dis according to claim 2, wherein the service parameter maintenance module configures the corresponding service parameter instance according to the selected service parameter type, which is as follows:
by clicking a new button, a parameter instance is maintained for the currently defined parameter type, and the maximum length of each field attribute of the parameter accords with the field length maintained by the parameter basic information;
after one parameter instance is selected, editing and deleting operations are performed.
5. The method for configuring dynamic service parameters based on Redis according to claim 1, wherein:
the database model comprises a dynamic service parameter definition entity table, a dynamic service parameter field definition entity table and a dynamic service parameter field data instance table;
the dynamic service parameter definition entity table stores service parameter type main body data, wherein the service parameter type main body data comprises a unique identifier, a service parameter code, a service parameter name, whether leaf parameters, a unique identifier of an upper-level parameter and remarks;
the dynamic service parameter field definition entity table stores service parameter type field related data, wherein the service parameter type field related data comprises unique identification, service parameter coding, field name, field length, field ordering and remarks;
the dynamic service parameter field data instance table stores service parameter instance data corresponding to the service parameter type, wherein the service parameter instance data corresponding to the service parameter type comprises a unique identifier, a field code, a group ID and a field value.
6. The method for configuring dynamic service parameters based on Redis according to claim 1, wherein the calling API can flexibly obtain any target parameter or parameter group from the dynamic service parameter set.
7. The method for configuring dynamic service parameters based on Redis according to claim 6, wherein the method for calling the API to obtain any target parameter or parameter group from the dynamic service parameter set is as follows:
acquiring a target parameter Map or a parameter group List < Map > from a List data structure through an incoming service parameter code based on a Jeddis encapsulation API, thereby acquiring all configuration data of the service parameter;
based on the Jeddis packaging API, the target parameter Map is obtained from the List data structure according to the filtering condition by entering the service parameter coding and filtering condition, thereby obtaining all service configuration data of the changed parameters.
8. The method for configuring dynamic service parameters based on Redis according to claim 1, wherein the method for providing the refresh cache function based on the Redis database and the dynamic service parameter database model comprises the following steps:
the parameters are obtained again from the database model through the coding of the incoming service parameters based on the Jeddis encapsulation API and are saved in the memory Redis database again;
all the service parameters are obtained from the database model based on the Jeddis encapsulation API and are saved in the memory Redis database again.
9. The method for configuring dynamic service parameters based on Redis according to claim 1, wherein when a buffer API module is established based on Java language, a cluster environment of Redis is established, at least 3 nodes of Master and Slave are configured, and synchronization and availability of buffering are achieved by using a Redis Master-Slave copy strategy and a Redis Sentinel architecture.
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| CN112988502A (en) * | 2020-12-28 | 2021-06-18 | 紫光云技术有限公司 | Method for cooperatively inspecting Kafka middleware examples by multiple sentinels |
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