CN111240737A - Dynamic service parameter configuration method based on Redis - Google Patents
Dynamic service parameter configuration method based on Redis Download PDFInfo
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Abstract
The invention discloses a configuration method of 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 of service parameters, establishing a cache API module based on Java language: a set of dynamic service parameter loader is packaged based on a Redis database, when a server is started, configured parameters are cached in the Redis database, and functions of real-time query, real-time maintenance and real-time service parameter refreshing are provided. According to the invention, Redis is used as a cache server of the service parameters, so that 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, by referring to the data model of the dynamic service parameters provided by the invention, the flexible configuration and maintenance of the service parameters can be realized, the design, use and maintenance difficulty of the service parameters is reduced, and the development, test and implementation efficiency is improved.
Description
Technical Field
The invention belongs to the technical field of internet, and particularly relates to a dynamic service parameter configuration method based on Redis.
Background
With the development of the internet and software industries, more and more software products have been used in various industries. In order to meet different customer sites, software products usually need to individually configure necessary parameters in software operation according to the actual conditions of customers, so as to meet the differentiated requirements of each site. Therefore, a flexible service parameter configuration and management method is increasingly important. In addition, based on the consideration of high scalability and high availability of software products, application software is often deployed in a cluster. When modifying the configuration parameters on a certain server in the cluster environment, in order to ensure the consistency of the configuration parameters of a plurality of servers in the cluster environment, the modified parameters must be synchronized to other servers. Therefore, a simple and efficient configuration parameter synchronization method is also very important.
For the parameter configuration and management scheme, there are two main ways at present:
the first scheme is as follows: and managing through a configuration file. The application software configures the required parameters in a file, and when the software is started, relevant parameters are loaded from the file, so that the software can run normally. The method is only suitable for the condition that the parameters in the configuration file are few, and when the number of the parameters is large, the parameters are searched and modified from the file, so that the operation is difficult and errors are easy to occur;
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 needs to be inquired every time the service parameters are acquired in the running process of the application software, the pressure of a database server is increased, and the overall performance of a software product is reduced.
For a scheme for parameter synchronization in a cluster environment, there are two main ways at present:
scheme 1: after a certain server modifies the configuration file, the configuration file is deployed to each server in the cluster environment, and parameter synchronization among a plurality of application servers is completed. In the scheme, manual deployment operation is complicated, and errors are easy to occur;
scheme 2: in the database parameter table management mode, all the servers are connected with the same database, so that the problem of parameter synchronization can be avoided. In the scheme, all the servers need to be connected with the database for acquiring the parameters, and the performance bottleneck is large.
Disclosure of Invention
The invention aims to provide a configuration method of dynamic service parameters based on Redis, which can greatly improve the read-write efficiency of the 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 processes 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 configuration method of dynamic service parameters based on Redis comprises the following steps:
establishing a database model supporting dynamic configuration of 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;
and establishing a cache API module based on a Redis database and a database model supporting dynamic configuration of service parameters, and enabling parameter change to take effect immediately by refreshing a cache function.
Optionally, the method further includes:
establishing a foreground interactive module, wherein the foreground interactive module supports the increase, deletion, check and modification of 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 service parameter types;
and the service parameter maintenance module is used for configuring a corresponding service parameter instance according to the selected service parameter type.
Optionally, the service parameter definition module is further configured to maintain, create, and define a new parameter type for the parameter basic information, and configure a specific parameter attribute for the created service parameter type;
wherein, the parameter basic information comprises:
a service parameter name, said service parameter name being a name describing the parameter;
and (3) service parameter coding: the service parameter code is the only identification of the service parameter in the system;
whether the leaf parameters are: describing whether the parameter is a parent node or a leaf node;
service parameter description: describing the use of the parameter;
wherein the parameter attributes include:
a field name, which is a field attribute in the parameter;
a field code, wherein the field code is the only code of 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 service 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 is as follows:
a parameter instance is maintained for the currently defined parameter type by clicking a newly added button, and the maximum length of each field attribute of the parameter accords with the field length maintained by the parameter basic information;
and after one parameter instance is selected, editing and deleting operations are carried out.
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 stores service parameter type main data, wherein the service parameter type main data comprises a unique identifier, a service parameter code, a service parameter name, whether a leaf parameter exists, a superior parameter unique identifier and remarks;
the dynamic service parameter field definition entity stores service parameter type field related data, and the service parameter type field related data comprises a unique identifier, a service parameter code, a field name, a field length, a field sequence and remarks;
the dynamic service parameter field data instance table stores service parameter instance data corresponding to service parameter types, and the service parameter instance data corresponding to the service parameter types comprise unique identifiers, field codes, grouping IDs and field values.
Optionally, the specific method for caching the configured parameters in the Redis database when the server is started by encapsulating the dynamic service parameter loader based on the Redis database is as follows:
traversing the service parameter definition table, coding according to the service parameters, and storing all the service parameters into an ArrayList set;
defining the relation of an entity table, a dynamic service parameter field data instance table and a dynamic service parameter definition entity table according to the dynamic service parameter field, and respectively storing instances corresponding to service parameters into a HashMap according to service parameter codes;
saving the HashMap into a set ArrayList;
a List data structure is defined in Redis, and a service parameter instance set ArrayList is cached to the List data structure through a method provided by Jedis.
Optionally, the calling API may flexibly obtain any target parameter or parameter group 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:
based on a Jedis packaging API, acquiring a target parameter Map or a parameter group List < Map > from a List data structure through transmitting a service parameter code, thereby acquiring all configuration data of the service parameter;
and based on the Jedis packaging API, acquiring a target parameter Map from the List data structure according to the filtering condition by transmitting service parameter codes and the filtering condition, thereby acquiring all service configuration data of the parameters.
Optionally, the method for providing a cache refreshing function based on the Redis database and the dynamic service parameter database model includes:
based on the Jedis packaging API, the parameters are acquired from the database model again through the transmitted service parameter codes and are stored in the memory Redis database again;
and acquiring all service parameters from the database model based on the Jedis packaging API, and storing the service parameters in the memory Redis database again.
Optionally, when the cache API module is established based on the Java language, a cluster environment of the Redis is established, at least 3 nodes of the Master and the Slave are configured, and synchronization and availability of the cache are realized by using a Redis Master-Slave copy policy and a Redis Sentinel architecture.
The invention has the following beneficial effects:
the invention adopts Redis as a 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 processes, and reduces the difficulty of software development and implementation deployment; the service parameters can be flexibly configured and maintained. The difficulty in designing, using and maintaining the service parameters is reduced.
Of course, it is not necessary for any product in which the invention is practiced to achieve all of the above-described advantages at the same time.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart of a method for implementing dynamic Redis-based service parameters according to 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 according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-4, the present invention is a method for configuring dynamic service parameters based on Redis, comprising the following steps:
SS 01: designing a set of simple and easy-to-operate dynamic parameter maintenance pages, and establishing a foreground interaction module;
SS 02: establishing a database model supporting dynamic configuration of service parameters;
SS 03: establishing a cache API module 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: establishing a cache API module based on a Redis database and a dynamic service parameter database model;
s033: based on the Redis database and the dynamic service parameter database model, a cache refreshing function is provided, so that parameter change takes effect immediately.
The foreground interaction module supports the increase, deletion, check and modification of dynamic service parameters from the 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 service parameter types; the service parameter maintenance module is used for configuring a corresponding service parameter instance according to the selected service parameter type.
As shown in fig. 3, the service parameter definition module is further configured to maintain, create, and define a new parameter type for the parameter basic information, and configure specific parameter attributes (support configuration of any multiple attributes) for the created service parameter type; wherein, the parameter basic information comprises: a service parameter name, the service parameter name being a name describing the parameter; and (3) service parameter coding: the service parameter code is the only mark of the service parameter in the system; whether the leaf parameters are: describing whether the parameter is a father node or a leaf node (supporting parameter father-son relationship and superior-subordinate relationship maintenance); a service parameter description, the service parameter description describing the use of the parameter; wherein the parameter attributes include: a field name, the field name being a field attribute in the parameter; the field code is the only code of the field; a field length, the field length being the maximum length of the field; and 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 method for configuring the corresponding service parameter instance by the service parameter maintenance module according to the selected service parameter type includes: s01: a parameter instance is maintained for the currently defined parameter type by clicking a newly added button, and the maximum length of each field attribute of the parameter must accord with the field length maintained by the parameter basic information; s02: and after one parameter instance is selected, editing and deleting operations are carried out.
As shown in fig. 2, 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 stores service parameter type main data, wherein the service parameter type main data comprises a unique identifier, a service parameter code, a service parameter name, whether a leaf parameter exists or not, a superior parameter unique identifier and remarks; the dynamic service parameter field definition entity stores service parameter type field related data, wherein the service parameter type field related data comprises a unique identifier, a service parameter code, a field name, a field length, a field sequence and remarks; the dynamic service parameter field data instance table stores service parameter instance data corresponding to service parameter types, and the service parameter instance data corresponding to the service parameter types comprise unique identifiers, field codes, grouping IDs and field values.
In the step S031, a set of dynamic service parameter loaders is packaged based on the Redis database, and when the server is started, the specific method for caching the configured parameters in the Redis database is as follows:
s0311: traversing the service parameter definition table, coding according to the service parameters, and storing all the service parameters into an ArrayList set;
s0312: defining the relation of an entity table, a dynamic service parameter field data instance table and a dynamic service parameter definition entity table according to the dynamic service parameter field, and respectively storing instances corresponding to service parameters into a HashMap according to service parameter codes;
s0313: saving the HashMap into a set ArrayList;
s0314: a List data structure is defined in Redis, and a service parameter instance set ArrayList is cached to the List data structure through a method provided by Jedis.
The API in step S032 is called to flexibly obtain any target parameter or parameter set from the dynamic service parameter set. The method for obtaining any target parameter or parameter group from the dynamic service parameter set by calling the API in step S032 includes:
s0321: based on a Jedis packaging API, acquiring a target parameter Map or a parameter group List < Map > from a List data structure through transmitting a service parameter code, thereby acquiring all configuration data of the service parameter;
s0322: and based on the Jedis packaging API, acquiring a target parameter Map from the List data structure according to the filtering condition by transmitting service parameter codes and the filtering condition, thereby acquiring all service configuration data of the parameters.
In step S033, a function of refreshing a cache is provided based on the Redis database and the dynamic service parameter database model, and the method for immediately changing the operation of adding, deleting and modifying the service parameter without restarting the server is as follows:
s0331: based on Jedis packaging API, the parameters are obtained from the database model again through the input of service parameter codes and are stored in a memory Redis database again, and 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 Jedis packaging API and stored in the Redis database again, and the effect of refreshing the parameter cache in full quantity is achieved.
When the cache API module is established based on the Java language in the step SS03, a cluster environment of Redis is established, at least 3 nodes of Master and Slave are configured, and synchronization and high availability of the cache are realized by utilizing a Redis Master-Slave copy strategy and a Redis Sentinel (Sentinel) architecture.
The invention discloses a configuration method of dynamic service parameters based on Redis, which comprises a front-end maintenance page based on a dynamic service parameter model, a dynamically configurable service parameter model and a dynamic parameter cache design based on Redis, wherein the front-end maintenance page is simple and easy to operate, the dynamic service parameter model comprises a dynamic service parameter loader, a parameter acquisition public API, cache real-time refreshing and the like, and Redis is used as a cache server of the service parameters, so that the read-write efficiency of the service parameters can be greatly improved, the parameter synchronization problem in multi-server clustering is solved, the configuration method has the characteristics of building a high-concurrency and high-reliability product scheme, the flexibility of service parameter configuration in the software design and code development processes is improved, and the difficulty of software development and implementation deployment is reduced; the method can flexibly configure and maintain the service parameters, and reduce the difficulty of design, use and maintenance of the service parameters.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to 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 invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. 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 to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise embodiments 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 utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (10)
1. A configuration method of dynamic service parameters based on Redis is characterized by comprising the following steps:
establishing a database model supporting dynamic configuration of 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;
and establishing a cache API module based on a Redis database and a database model supporting dynamic configuration of service parameters, and enabling parameter change to take effect immediately by refreshing a cache function.
2. The method of claim 1, wherein the method further comprises:
establishing a foreground interactive module, wherein the foreground interactive module supports the increase, deletion, check and modification of 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 service parameter types;
and the service parameter maintenance module is used for configuring a corresponding service parameter instance according to the selected service parameter type.
3. A method according to claim 2, characterized in that:
the service parameter definition module is also used for maintaining, creating and defining new parameter types of the parameter basic information and configuring specific parameter attributes for the created service parameter types;
wherein, the parameter basic information comprises:
a service parameter name, said service parameter name being a name describing the parameter;
and (3) service parameter coding: the service parameter code is the only identification of the service parameter in the system;
whether the leaf parameters are: describing whether the parameter is a parent node or a leaf node;
service parameter description: describing the use of the parameter;
wherein the parameter attributes include:
a field name, which is a field attribute in the parameter;
a field code, wherein the field code is the only code of 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 service parameter maintenance module table.
4. The method according to claim 2, wherein the specific method for configuring the corresponding service parameter instance by the service parameter maintenance module according to the selected service parameter type is as follows:
a parameter instance is maintained for the currently defined parameter type by clicking a newly added button, and the maximum length of each field attribute of the parameter accords with the field length maintained by the parameter basic information;
and after one parameter instance is selected, editing and deleting operations are carried out.
5. A method according to claim 1, characterized in that:
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 stores service parameter type main data, wherein the service parameter type main data comprises a unique identifier, a service parameter code, a service parameter name, whether a leaf parameter exists, a superior parameter unique identifier and remarks;
the dynamic service parameter field definition entity stores service parameter type field related data, and the service parameter type field related data comprises a unique identifier, a service parameter code, a field name, a field length, a field sequence and remarks;
the dynamic service parameter field data instance table stores service parameter instance data corresponding to service parameter types, and the service parameter instance data corresponding to the service parameter types comprise unique identifiers, field codes, grouping IDs and field values.
6. The method according to claim 1, wherein the method for configuring dynamic service parameters based on Redis is characterized in that a loader for encapsulating dynamic service parameters based on a Redis database, and when the server is started, the specific method for caching the configured parameters into the Redis database is as follows:
traversing the service parameter definition table, coding according to the service parameters, and storing all the service parameters into an ArrayList set;
defining the relation of an entity table, a dynamic service parameter field data instance table and a dynamic service parameter definition entity table according to the dynamic service parameter field, and respectively storing instances corresponding to service parameters into a HashMap according to service parameter codes;
saving the HashMap into a set ArrayList;
a List data structure is defined in Redis, and a service parameter instance set ArrayList is cached to the List data structure through a method provided by Jedis.
7. The method of claim 1, wherein the calling API flexibly obtains any target parameter or parameter group from the dynamic service parameter set.
8. The method according to claim 7, wherein the method for calling API to obtain any target parameter or parameter group from dynamic service parameter set comprises:
based on a Jedis packaging API, acquiring a target parameter Map or a parameter group List < Map > from a List data structure through transmitting a service parameter code, thereby acquiring all configuration data of the service parameter;
and based on the Jedis packaging API, acquiring a target parameter Map from the List data structure according to the filtering condition by transmitting service parameter codes and the filtering condition, thereby acquiring all service configuration data of the parameters.
9. The method for configuring dynamic service parameters based on Redis according to claim 1, wherein the method for providing the function of refreshing the cache based on the Redis database and the dynamic service parameter database model comprises:
based on the Jedis packaging API, the parameters are acquired from the database model again through the transmitted service parameter codes and are stored in the memory Redis database again;
and acquiring all service parameters from the database model based on the Jedis packaging API, and storing the service parameters in the memory Redis database again.
10. The method for configuring dynamic service parameters based on Redis according to claim 1, wherein when a cache API module is established based on Java language, a cluster environment of Redis is established, Master and Slave are configured with at least 3 nodes, and synchronization and availability of the cache are realized by utilizing a Redis Master-Slave copy policy and a Redis Sentinel architecture.
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