CN116303649A - A multi-data source management method, device, equipment and storage medium - Google Patents

Abstract

The present application relates to the field of computer technology and data processing technology, and more particularly, to a method, an apparatus, a device, and a storage medium for managing multiple data sources. The method comprises the following steps: intercepting a target method function of a target application program when an execution instruction aiming at the target application program is received; determining a data source extraction object in a target method function; inquiring a target data source according to a data source extraction object and a preset annotation associated with a target method function, and performing target processing on data in the target data source based on service requirements; and when a switching instruction for a target application program is received, continuing to execute the step of intercepting the target method function of the target application program according to the switching instruction. The method and the device solve the directory limitation or file name limitation when the multiple data sources are used, manage the multiple data sources more simply and efficiently, and realize free dynamic switching on the multiple data sources.

Description

A multi-data source management method, device, equipment and storage medium

technical field

The present application relates to the fields of computer technology and data processing technology, and more specifically, the present application relates to a method, device, device and storage medium for managing multiple data sources.

Background technique

Data is required by all engineering systems. When an external request accesses engineering system data, the engineering system will process the data and return it to the outside. To some extent, an engineering system is a combination of data and algorithms.

The data is stored in the database. Generally speaking, the engineering system only uses one database, but for relatively large or complex systems, there will be multiple types or multiple databases, so the data has to be stored in a distributed manner. Multiple databases are multiple data sources. In the existing technology, data stored in multiple data sources will be processed according to different business requirements. When performing related processing, multiple data sources are generally linked, and different directories are used to link different data sources. However, this The method of managing data sources is not flexible enough, and it is not efficient enough, and it is cumbersome to deal with the problem of database switching.

Contents of the invention

Based on the above technical problems, the present invention provides a multi-data source management method, which intercepts the target method function of the target application program when receiving an execution instruction for the target application program, and determines the data in the target method function The source extraction object is used to query the target data source according to the data source extraction object and the preset annotation associated with the target method function.

The first aspect of the present invention provides a method for managing multiple data sources, which is applied to a microservice application system, and the method includes:

Intercepting the target method function of the target application program when receiving the execution instruction for the target application program;

Determine the data source extraction object in the target method function;

Querying the target data source according to the data source extraction object combined with the preset annotation associated with the target method function, and performing target processing on the data in the target data source based on business requirements;

When receiving the switching instruction for the target application program, continue to execute the step of intercepting the target method function of the target application program according to the switching instruction.

In some embodiments of the present invention, the determining the data source extraction object in the target method function includes:

Acquiring connection point information corresponding to the target method function from the target method function;

Analyzing the connection point information and determining a data source extraction object.

In some embodiments of the present invention, the querying the target data source according to the data source extraction object combined with the preset annotation associated with the target method function includes:

creating an annotation with a preset name, and associating the annotation with the preset name with the target method function;

Realize the aspect enhancement of the target method function through the aspect-oriented programming of the Spring container through the annotation of the preset name;

Objects are extracted according to the data source, and the target data source is queried in combination with the annotation of the preset name.

In some embodiments of the present invention, implementing the aspect enhancement of the target method function through the aspect-oriented programming of the Spring container through the annotation of the preset name includes:

An annotation of the preset name is stored through an additional configuration file for aspect-oriented programming of the Spring container;

A key-value pair is stored in the annotation of the preset name, wherein the key-value pair represents a mapping relationship between the data source extraction object and the target data source and a link path of the target data source.

In some embodiments of the present invention, the extracting the object according to the data source, and querying the target data source in combination with the annotation of the preset name includes:

Searching for a data source ID corresponding to the data source extraction object according to the mapping relationship between the data source extraction object and the target data source;

The data source corresponding to the data source extraction object is queried according to the link path of the target data source, the data source ID and thread information.

In some embodiments of the present invention, before the annotation of the preset name is implemented through the aspect-oriented programming of the Spring container to enhance the aspect of the target method function, it also includes weaving into the pre-advice to obtain the connection of the Spring container resources; after the annotation of the preset name is implemented through the aspect-oriented programming of the Spring container to enhance the aspect of the target method function, it also includes weaving into the post-notification to release the connection resources of the Spring container.

In some embodiments of the present invention, after querying the target data source, it also includes connecting the target data source by using a data source link template, and connecting the target data source by using a data source link template includes:

Define preset data source link templates;

Establish connection information with the data source according to the preset data source link template, the connection information at least includes a data source ID, a data source name, a data source account password, and a path where the data source is located;

The data source extraction object in the data source to be connected is obtained according to the connection information of the data source.

The second aspect of the present invention provides a multi-data source management device, the device comprising:

The method determination module is configured to intercept the target method function of the target application program when receiving an execution instruction for the target application program;

an object determination module configured to determine the data source extraction object in the target method function;

The processing module is configured to query the target data source according to the data source extraction object combined with the preset annotation associated with the target method function, and perform data processing based on business requirements;

The switching module is configured to continue to execute the step of intercepting the target method function of the target application program according to the switching command when receiving the switching command for the target application program.

The third aspect of the present invention provides a computer device, including a memory and a processor, where computer-readable instructions are stored in the memory, and when the computer-readable instructions are executed by the processor, the processor is made to perform the following steps:

Intercepting the target method function of the target application program when receiving the execution instruction for the target application program;

Determine the data source extraction object in the target method function;

Querying the target data source according to the data source extraction object combined with the preset annotation associated with the target method function, and performing target processing on the data in the target data source based on business requirements;

When receiving the switching instruction for the target application program, continue to execute the step of intercepting the target method function of the target application program according to the switching instruction.

A fourth aspect of the present invention provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

Intercepting the target method function of the target application program when receiving the execution instruction for the target application program;

Determine the data source extraction object in the target method function;

Querying the target data source according to the data source extraction object combined with the preset annotation associated with the target method function, and performing target processing on the data in the target data source based on business requirements;

When receiving the switching instruction for the target application program, continue to execute the step of intercepting the target method function of the target application program according to the switching instruction.

The technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

When the present application receives an execution instruction for the target application program, intercept the target method function of the target application program, determine the data source extraction object in the target method function, and combine the target method according to the data source extraction object The preset annotations associated with the function query the target data source, and perform target processing on the data in the target data source based on business requirements, which solves the problem that the method of managing data sources in the prior art is not flexible enough and efficient, and it is relatively difficult to handle database switching. The cumbersome technical issues make the management of the data source flexible and efficient; the application proposes that when a switching instruction for the target application program is received, continue to execute the target method function of determining and intercepting the target application program according to the switching instruction The steps of multiple data sources can be dynamically switched, thus greatly improving the management efficiency of multiple data sources. Not only that, the prior art relies too much on the way of using different directories to link different data sources, but the method described in this application can remove the restrictions on directory or file names when using multiple data sources, and realize a more concise and efficient multi-data source manage.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention.

Description of drawings

Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiment. The drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the application. Also throughout the drawings, the same reference numerals are used to designate the same components. In the attached picture:

FIG. 1 shows a schematic diagram of the steps of a method for managing multiple data sources in an exemplary embodiment of the present application;

Fig. 2 shows a schematic diagram of the effect of a multi-data source management method in an exemplary embodiment of the present application;

FIG. 3 shows a schematic diagram of a process of dynamically switching data sources in a multi-data source management method in an exemplary embodiment of the present application;

FIG. 4 shows a schematic structural diagram of a microservice application system in an exemplary embodiment of the present application;

Fig. 5 shows a schematic structural diagram of a computer device provided by an exemplary embodiment of the present application.

Detailed ways

Hereinafter, embodiments of the present application will be described with reference to the drawings. However, it should be understood that these descriptions are illustrative only and are not intended to limit the scope of the present application. Also, in the following description, descriptions of well-known structures and techniques are omitted to avoid unnecessarily obscuring the concept of the present application. It will be apparent to those skilled in the art that the present application may be practiced without one or more of these details. In other examples, some technical features known in the art are not described in order to avoid confusion with the present application.

It should be noted that the terminology used herein is only for describing specific embodiments, and is not intended to limit the exemplary embodiments according to the present application. As used herein, singular forms are intended to include plural forms unless the context clearly dictates otherwise. In addition, it should also be understood that when the terms "comprising" and/or "comprising" are used in this specification, it indicates the presence of the features, integers, steps, operations, elements and/or components, but does not exclude the presence or One or more other features, integers, steps, operations, elements, components and/or combinations thereof are added.

Now, exemplary embodiments according to the present application will be described in more detail with reference to the accompanying drawings. These example embodiments may, however, be embodied in many different forms and should not be construed as limited to only the embodiments set forth herein. The figures are not drawn to scale, in which certain details may be exaggerated and certain details may be omitted for the purpose of clarity of presentation. The shapes of the various regions and layers shown in the figure, as well as their relative sizes and positional relationships are only exemplary, and may deviate due to manufacturing tolerances or technical limitations in practice, and those skilled in the art will Regions/layers with different shapes, sizes, and relative positions can be additionally designed as needed.

Several embodiments are given below in conjunction with accompanying drawings 1 to 5 of the specification to describe exemplary implementations according to the present application. It should be noted that the following application scenarios are only shown for easy understanding of the spirit and principle of the present application, and the implementation manners of the present application are not limited in this regard. On the contrary, the embodiments of the present application can be applied to any applicable scene.

Data is a necessary resource for all engineering systems. External requests access to the data of the engineering system, and the engineering system processes the data and returns it to the outside. To some extent, an engineering system is a combination of data and algorithms. The data will be stored in the database. Generally speaking, the engineering system will only use one database, but for relatively large systems or complex systems, there will be multiple types or multiple databases used. For example, larger engineering systems have to disperse data in multiple databases because of domain model division or huge data. Or in a relatively complex engineering system, it may be linked to multiple different types of database sources, such as Oracle-type databases and Mysql-type databases. This complex large-scale engineering system will link multiple data sources when dealing with multiple databases of this type, and use the method of linking different data sources under different directories (setting different data sources in different directories). This method is supported by the original engineering system. The sql.xml (data execution method of the database) under different directories is used to link different databases, and the directory is used as an identifier to link different types of databases and multiple databases. However, this method of managing data sources is not flexible enough, nor efficient enough, and it is cumbersome to deal with the problem of database switching.

Therefore, in some embodiments of the present application, a method for managing multiple data sources is provided, as shown in FIG. 1 , the method includes:

S1. Intercepting a target method function of the target application when receiving an execution instruction for the target application;

S2. Determine the data source extraction object in the target method function;

S3. Query the target data source according to the data source extraction object combined with the preset annotation associated with the target method function, and perform target processing on the data in the target data source based on business requirements;

S4. When receiving a switching instruction for the target application program, continue to execute the step of intercepting the target method function of the target application program according to the switching instruction.

First of all, it should be explained that the microservice application system is a cluster in which the microservice application is deployed; the cluster includes: N nodes, where N is a positive integer; each node corresponds to a server or a cloud host. Essentially a microservices architecture in which a single application is composed of many smaller components or services that are loosely coupled and independently deployable.

In a specific implementation manner, when determining the data source extraction object in the target method function, the connection point information corresponding to the target method function is first obtained from the target method function, and then the connection point information is Parse and determine the data source extraction object. The data source extraction object here can be a data table, or it can be different fields in the data table, depending on the result extracted from the function.

In some implementations of the present application, querying the target data source according to the preset annotation associated with the data source extraction object and the target method function includes: creating an annotation with a preset name, and combining the annotation with the preset name with the The target method function is associated; the annotation of the preset name is implemented through the aspect-oriented programming of the Spring container to enhance the aspect of the target method function; the object is extracted according to the data source, and combined with the annotation of the preset name to query target data source.

In a preferred implementation mode, when the annotation of the preset name is implemented through the aspect-oriented programming of the Spring container to enhance the aspect of the target method function, the additional configuration file of the aspect-oriented programming of the Spring container is first stored. An annotation with a preset name, storing a key-value pair in the annotation with a preset name, wherein the key-value pair represents the mapping relationship between the data source extraction object and the target data source and the target data source link path. For example: the microservice application system refers to switchdata.jar, and adds the annotation DynamicSwitchDataSource to the specified additional process method. The DynamicSwitchDataSource here is configured with Spring’s AOP, that is, aspect-oriented programming, as the underlying technology. DynamicSwitchDataSource stores key-value pairs, that is, the key Word Key and its corresponding Value.

It should be noted that the Spring container is the core of the Spring framework and is used to manage objects. The container will create objects, connect them together, configure them, and manage them through IoC technology, serializing their entire life cycle from creation to destruction. AOP (abbreviation for Aspect-Oriented Programming), which means aspect-oriented programming, is a programming idea described in Spring's official documentation: Aspect-Oriented Programming (AOP) provides another way to think about program structure. To supplement and improve object-oriented programming (OOP), the key in object-oriented programming (OOP) is the object, and the key in aspect-oriented programming (AOP) is the aspect. OOP is aimed at the attributes and behaviors of entities in the process of business processing, unlike AOP, which is aimed at a certain step or stage in the process of business processing. Aspects in AOP can realize the modularization of concerns (that is, unified extraction and improved reuse), such as transaction management across multiple types and objects. This concern is usually called cross-cutting concern in AOP literature. Therefore, the above-mentioned annotation of the preset name realizes the aspect enhancement of the target method in the target application through the aspect-oriented programming of the Spring container, which basically uses the dynamic proxy function of AOP, and makes the target method more "characteristic" in the way of annotation , to enhance its enforceability.

In some embodiments of the present application, when extracting the object according to the data source, and querying the target data source in combination with the annotation of the preset name, first extract the mapping relationship between the object and the target data source according to the data source Find the data source ID corresponding to the data source extraction object. For example, during specific execution, to obtain the information of the data source on the annotation, the dynamic configuration can be obtained from the remote config or redis through the code of "String dataSourceKey=annotationClass.dataSource()" information to get the real value. Then query the data source corresponding to the data source extraction object according to the link path of the target data source, the data source ID and thread information. For example, a.1=Master, b.2=Slave, c.3=Oracle, etc. are set in the key-value pair, the data source IDs are 1, 2, and 3 respectively, and the target data objects are a, b, and c respectively. As shown in Figure 2, it is simple and efficient to search for different data sources corresponding to the target data object according to the target method after aspect enhancement. The aforementioned data sources refer to databases, such as Oracle.

In some embodiments of the present application, before the annotation of the preset name is implemented through the aspect-oriented programming of the Spring container to enhance the aspect of the target method function, it also includes weaving the pre-advice to obtain the connection resource of the Spring container; After the annotation of the preset name is implemented through the aspect-oriented programming of the Spring container to enhance the aspect of the target method function, it also includes weaving post notifications to release the connection resources of the Spring container. Specifically, @Before: pre-notification, executed before the method is executed, is to prepare for the connection of resources, @After: post-notification, executed after the method is executed, that is, to release resources.

In some other embodiments of the present application, after the target data source is queried, it also includes connecting the target data source by means of a data source link template. When connecting the target data source by means of a data source link template, first define Preset the data source link template, and then establish connection information with the data source according to the preset data source link template, wherein the connection information includes at least the data source ID, the data source name, the data source account password and the path where the data source is located, Obtain the data source extraction object in the data source to be connected according to the connection information of the data source. The so-called definition of the default data source link template here, for example, can use the code: class.forName("com.mysql.jdbc.Driver"), and the establishment of a connection with the data source can be established with the code conn DriverManger.getConnection, and its parameters include The data source ID, data source name, data source account password, and data source path can be used to obtain the runtime data source JDBC URL address. As shown in Figure 3, use the Aop (aspect programming) of the Spring container to enhance the aspect of the method (target method) to be modified, and generate a dynamic proxy class when the application starts, which is mainly responsible for monitoring the data source of the method, from the remote config or redis Get the real data source information in the configuration, and pass the data source to spring's jdbc (database link template) for processing to help spring handle database-related operations. When jdbc gets the data source information obtained by aspect programming, then go to link the Data source, when a database operation occurs, the data source will be accessed, so as to achieve the technical effect of dynamically switching data sources and optimizing the use of multiple data sources.

During specific implementation, target processing is performed on the data in the target data source based on business requirements. The target processing may be an operation of adding new data records, deleting existing data records, or modifying data. Specifically, according to actual Depends on business needs.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.

In an exemplary embodiment of the present application, a multi-data source management device is also provided, which executes the multi-data source management method in each embodiment. As shown in FIG. 4, the device includes:

The method determination module 401 is configured to intercept the target method function of the target application program when receiving an execution instruction for the target application program;

The object determination module 402 is configured to determine the data source extraction object in the target method function;

The processing module 403 is configured to query the target data source according to the data source extraction object and the preset annotation associated with the target method function, and perform data processing based on business requirements;

The switching module 404 is configured to continue to execute the step of intercepting the target method function of the target application according to the switching instruction when receiving the switching instruction for the target application.

In some embodiments of the present application, when the processing module 403 implements the function of querying the target data source according to the data source extraction object combined with the preset annotation associated with the target method function, and performing data processing based on business requirements, it specifically executes The following steps: establish the annotation of the preset name, and associate the annotation of the preset name with the target method function; realize the aspect of the target method function through the aspect-oriented programming of the Spring container with the annotation of the preset name Enhancement: extract the object according to the data source, and query the target data source in combination with the annotation of the preset name.

It should also be emphasized that the system provided in the embodiment of the present application can acquire and process related data based on artificial intelligence technology. Among them, artificial intelligence (AI) is the theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results. . Artificial intelligence basic technologies generally include technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, big data processing technology, operation/interaction systems, and mechatronics. Artificial intelligence software technology mainly includes computer vision technology, robotics technology, biometrics technology, speech processing technology, natural language processing technology, and machine learning/deep learning.

Please refer to FIG. 5 below, which shows a schematic diagram of a computer device provided by some embodiments of the present application. As shown in Figure 5, described computer device 2 comprises: processor 200, memory 201, bus 202 and communication interface 203, described processor 200, communication interface 203 and memory 201 are connected by bus 202; There is a computer program that can run on the processor 200, and when the processor 200 runs the computer program, it executes the multi-data source management method provided in any one of the foregoing embodiments of the present application.

Wherein, the memory 201 may include a high-speed random access memory (RAM: Random Access Memory), and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory. The communication connection between the system network element and at least one other network element is realized through at least one communication interface 203 (which may be wired or wireless), and Internet, wide area network, local network, metropolitan area network, etc. can be used.

The bus 202 may be an ISA bus, a PCI bus, or an EISA bus, etc. The bus can be divided into address bus, data bus, control bus and so on. Wherein, the memory 201 is used to store a program, and the processor 200 executes the program after receiving an execution instruction, and the multi-data source management method disclosed in any implementation mode of the foregoing embodiments of the present application can be applied to the processor 200 in, or implemented by the processor 200.

The processor 200 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method may be implemented by an integrated logic circuit of hardware in the processor 200 or instructions in the form of software. The above-mentioned processor 200 can be a general-purpose processor, including a central processing unit (Central Processing Unit, referred to as CPU), a network processor (Network Processor, referred to as NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), off-the-shelf programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components. Various methods, steps, and logic block diagrams disclosed in the embodiments of the present application may be implemented or executed. A general-purpose processor may be a microprocessor, or the processor may be any conventional processor, or the like. The steps of the method disclosed in connection with the embodiments of the present application may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module can be located in a mature storage medium in the field such as random access memory, flash memory, read-only memory, programmable read-only memory or electrically erasable programmable memory, register. The storage medium is located in the memory 201, and the processor 200 reads the information in the memory 201, and completes the steps of the above method in combination with its hardware.

Embodiments of the present application also provide a computer-readable storage medium corresponding to the multi-data source management method provided in the foregoing embodiments, on which a computer program is stored, and when the computer program is run by a processor, it will execute any of the foregoing The multi-data source management method provided by the embodiment.

In addition, examples of the computer-readable storage medium may also include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other optical and magnetic storage media, which will not be repeated here.

Embodiments of the present application also provide a computer program product, including a computer program. When the computer program is executed by a processor, the steps of the multi-data source management method provided in any of the foregoing embodiments are implemented, including: When executing the instruction, intercept the target method function of the target application program; determine the data source extraction object in the target method function; query the target according to the data source extraction object combined with the preset annotation associated with the target method function data source, and perform target processing on the data in the target data source based on business requirements; when receiving a switching instruction for the target application program, continue to execute the target method for intercepting the target application program according to the switching instruction The steps of the function.

It should be noted that the algorithms and displays presented here are not inherently related to any particular computer, virtual appliance, or other device. Various general purpose devices can also be used with the teachings based on this. The structure required to construct such an apparatus will be apparent from the foregoing description. Furthermore, this application is not directed to any particular programming language. It should be understood that various programming languages can be used to implement the content of the application described here, and the description of specific languages above is to disclose the best implementation mode of the application. In the description provided herein, numerous specific details are set forth. However, it is understood that the embodiments of the application may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure the understanding of this description.

Those skilled in the art can understand that the modules in the device in the embodiment can be adaptively changed and arranged in one or more devices different from the embodiment. Modules or units or components in the embodiments may be combined into one module or unit or component, and furthermore may be divided into a plurality of sub-modules or sub-units or sub-assemblies. All features and/or procedures or elements disclosed in this specification, as well as all procedures or elements of any method or apparatus so disclosed, may be combined in any combination, unless at least some of such features and/or procedures or elements are mutually exclusive. Unless expressly stated otherwise, each feature disclosed in this specification may be replaced by alternative features serving the same, equivalent or similar purpose.

The various component embodiments of the present application may be realized in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art should understand that a microprocessor or a digital signal processor (DSP) may be used in practice to implement some or all functions of some or all components in the device for creating a virtual machine according to the embodiment of the present application. The present application can also be implemented as a device or an apparatus program for performing a part or all of the methods described herein. The program implementing the present application may be stored on a computer-readable medium, or may be in the form of one or more signals. Such a signal may be downloaded from an Internet site, or provided on a carrier signal, or provided in any other form.

The above is only a preferred embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any person familiar with the technical field can easily conceive of changes or changes within the technical scope disclosed in this application Replacement should be covered within the protection scope of this application. Therefore, the protection scope of the present application should be determined by the protection scope of the claims.

Claims (10)

1. A multi-data source management method applied to a micro-service application system, the method comprising:

intercepting a target method function of a target application program when an execution instruction aiming at the target application program is received;

determining a data source extraction object in the target method function;

inquiring a target data source according to the data source extraction object and a preset annotation associated with the target method function, and performing target processing on data in the target data source based on service requirements;

and when a switching instruction for a target application program is received, continuing to execute the step of intercepting the target method function of the target application program according to the switching instruction.

2. The method of claim 1, wherein determining the data source extraction object in the objective method function comprises:

acquiring connection point information corresponding to the target method function from the target method function;

and analyzing the connection point information and determining a data source extraction object.

3. The method according to claim 1, wherein querying the target data source according to the data source extraction object in combination with the preset annotation associated with the target method function comprises:

establishing annotation of a preset name, and associating the annotation of the preset name with the target method function;

the annotation of the preset name is subjected to section-oriented programming of a Spring container to realize section enhancement of the target method function;

and extracting an object according to the data source, and inquiring a target data source by combining the annotation of the preset name.

4. A multi-data source management method according to claim 3, wherein said enhancing the tangent plane of the target method function by tangent plane oriented programming of the Spring container with the annotation of the preset name comprises:

storing notes of the preset names through an additional configuration file of the Spring container, which is used for programming the section;

and storing a key value pair in the annotation of the preset name, wherein the key value pair characterizes the mapping relation between the data source extraction object and the target data source and the link path of the target data source.

5. The method of claim 4, wherein extracting the object from the data source and querying the target data source in combination with the annotation of the preset name comprises:

searching a data source ID corresponding to the data source extraction object according to the mapping relation between the data source extraction object and the target data source;

and inquiring the data source corresponding to the data source extraction object according to the link path of the target data source, the data source ID and the thread information.

6. The method for managing multiple data sources according to claim 3, wherein before the enhancing the section of the objective method function by the annotating of the preset name through the section-oriented programming of the Spring container, the method further comprises the step of weaving a pre-notification to acquire connection resources of the Spring container; and after the annotation of the preset name realizes the tangent plane enhancement of the objective method function through the tangent plane-oriented programming of the Spring container, the method further comprises the step of weaving in a post notification to release the connection resource of the Spring container.

7. The method of claim 1, further comprising connecting the target data source by using a data source link template after the target data source is queried, wherein connecting the target data source by using the data source link template comprises:

defining a preset data source link template;

establishing connection information with a data source according to the preset data source link template, wherein the connection information at least comprises a data source ID, a data source name, a data source account password and a path of the data source;

and obtaining a data source extraction object in the data source to be connected according to the connection information of the data source.

8. A multiple data source management apparatus, the apparatus comprising:

a method determination module configured to intercept a target method function of a target application upon receiving an execution instruction for the target application;

an object determination module configured to determine a data source extraction object in the objective method function;

the processing module is configured to query a target data source according to the data source extraction object and the preset annotation related to the target method function, and perform data processing based on service requirements;

and the switching module is configured to continuously execute the step of intercepting the target method function of the target application program according to the switching instruction when the switching instruction for the target application program is received.

9. A computer device comprising a memory and a processor, wherein the memory has stored therein computer readable instructions which, when executed by the processor, cause the processor to perform the method of any of claims 1-7.

10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the method according to any of claims 1-7.

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