CN113806813A - Data isolation switching method and system for multiple data sources - Google Patents
Data isolation switching method and system for multiple data sources Download PDFInfo
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- G06—COMPUTING; CALCULATING OR COUNTING
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Abstract
The invention relates to a data isolation switching method and a system of multiple data sources, wherein the method comprises the steps of acquiring data source information, connecting a corresponding data source according to the data source information, creating a data source connection pool, registering the data source connection pool in a context container, and generating a unique identifier of the data source; in the data processing process, the unique identification of the data source required by the data processing is obtained, so that the corresponding data source connection pool is obtained from the context container for data processing. Compared with the prior art, the invention can realize the modes of dynamically loading and dynamically destroying the data source, does not need to modify the program again, release the application program and the like, has stronger instantaneity and operability, and supports the loading of a plurality of different data sources so as to support different business requirements.
Description
Technical Field
The invention relates to the technical field of data source control, in particular to a data isolation switching method and system for multiple data sources.
Background
In present IT systems, data source control is the core of the core, any business function eventually falls into the data store, and data is also the most important IT asset of the enterprise.
The basic principle of the data source is that a program acquires connection information of the data source, when the data source needs to be used, the data service is connected through the connection information and a data source protocol, a specific data operation instruction is transmitted to the data service, the data service executes corresponding operation, and a result is returned to a calling party.
The current data source using methods are divided into the following two types: and connecting in real time and initializing a connection pool. Both data source management and usage approaches have their drawbacks.
1. The real-time connection mode is that when the data source is used for operation, the relevant connection parameter information of the data source is taken, the connection is established through a specific protocol, the relevant operation is sent, the corresponding connection is released after the action is completed, and the object information of the connection is destroyed. This solution is flexible, but has three major drawbacks:
one is that each data source needs to acquire connection information before operation, establish corresponding connection, and destroy the connection in time, which brings great redundancy work to code programming and couples business logic;
secondly, the operation of connecting and releasing the connection alone will bring about serious performance loss, and the establishment, communication and closing of the network connection is an important bottleneck of the system performance.
And thirdly, there is no unified place to manage data source connection parameters and configuration. Scattered in each different business logic, difficult to maintain and upgrade.
2. When an application program is started, the initialized data source connection pool reads the relevant connection parameter information of the data source through configuration, establishes connection through a protocol, and stores the data source object in a memory for all places to use. The scheme has the advantages that the data source connection parameters and the configuration information are uniformly managed, and only the data source connection pool is required to be established during program initialization, so that the new energy is improved. However, this solution also has the following disadvantages:
first, this scheme is not flexible enough, and only loads the corresponding data source connection pool when the program is initialized.
Secondly, only one available global data source is connected, and the service requirements of a plurality of data sources cannot be met.
Thirdly, if the data source connection information needs to be modified, the corresponding code and configuration need to be modified, and the whole service is redeployed, for a network web service, the shutdown deployment and the update directly affect the business and the enterprise work, and great efficiency loss is brought.
Disclosure of Invention
The present invention aims to overcome the defects of the prior art and provide a data isolation switching method and system for multiple data sources, which has stronger real-time performance and easy operability and supports loading of multiple different data sources.
The purpose of the invention can be realized by the following technical scheme:
a data isolation switching method for multiple data sources comprises the steps of obtaining data source information, connecting corresponding data sources according to the data source information, creating a data source connection pool, registering the data source connection pool in a context container, and generating a unique identifier of the data source;
in the data processing process, the unique identification of the data source required by the data processing is obtained, so that the corresponding data source connection pool is obtained from the context container for data processing.
Further, the method further includes a new data source registration step, and the new data source registration step specifically includes:
s101: acquiring data source information of a data source to be registered,
s102: performing data source connection test according to the data source information, if the connection is successful, executing the step S103, otherwise, returning to the step S101;
s103: judging whether the successfully connected data source exists in the current context container, if so, returning to the step S101, otherwise, executing the step S104;
s104: and connecting the data source according to the data source information, creating a data source connection pool, registering the data source connection pool into a context container, and generating a unique identifier of the data source.
Further, the method further comprises a data source logout step, wherein the data source logout step specifically comprises the following steps:
s201: generating a remove data source event;
s202: monitoring and acquiring the data source event, and judging whether a data source corresponding to the data source event has a movable connection in use, if so, executing a step S203, otherwise, executing a step S204;
s203: and deleting the registration information of the data source in the context container, deleting all connections of the data source after the current active connection finishes work, and destroying the corresponding data source connection pool.
S204: and deleting all connections of the data source, destroying the corresponding data source connection pool, and deleting the registration information of the data source in the context container.
Further, a snowflake algorithm is adopted to generate the unique identification of the data source.
Further, the obtaining of the corresponding data source connection pool from the context container for data processing specifically includes:
and acquiring a corresponding data source connection pool from the context container, binding the data source connection pool to the thread context of the current thread, and processing data.
Further, in the data processing process, the specific step of acquiring the unique identifier of the data source required by the data processing is as follows:
adding a unique identifier of a required data source into a global parameter in session control;
in the data processing process, the unique identifier of the data source required by data processing is acquired by analyzing the global parameter in the session control.
The invention also provides a data isolation switching system of multiple data sources, which comprises a memory and a processor, wherein the memory stores a computer program, and the processor calls the computer program to execute the steps of the method.
Compared with the prior art, the invention has the following advantages:
(1) on the basis of establishing a data source connection pool according to a data source, the data source connection pool is registered in a context container and is provided with a unique identifier; in the data processing process, the corresponding data source connection pool can be loaded for calling and processing according to the unique identifier;
in the prior art, each data source connection pool is directly established during program initialization, a program code is directly associated with the data source connection pool, and when data source connection information needs to be modified, the data source connection pool cannot be realized during program operation, the program code and configuration need to be modified, the whole service is redeployed, and the data source connection pool is loaded during initialization again, so that great efficiency loss is brought;
the method and the device set corresponding unique identifiers for each data source connection pool, the program loads the corresponding data source connection pool according to the unique identifiers, if a data source needs to be newly added or destroyed, the corresponding data source can be recorded according to the unique identifiers through session control when the program runs, and the data source in the context container is destroyed by generating and removing a data source event, so that the shutdown deployment, the program modification, the application program release and the like are not needed, the instantaneity and the operability are higher, and the loading of a plurality of different data sources is supported to support different service requirements.
(2) The invention adopts session global parameters to transmit the data source identification required by the current operation, realizes the decoupling with the specific code and the frame, and does not depend on the code development control and the technical frame limitation.
(3) The invention uses thread context, which can ensure the consistent data source in the whole logic of a thread, and the granularity can not only solve the problem that different operations need to use different data sources, but also can meet the requirement that the same data source is used in the execution process of the same batch of programs, and does not need to establish connection separately, thereby greatly improving the performance and simplifying the logic.
Drawings
Fig. 1 is a flowchart of a data source dynamic registration loading management provided in an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, 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 some, but not all, embodiments of the present invention. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. 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.
Example 1
The embodiment provides a data isolation switching method for multiple data sources, which comprises the steps of obtaining data source information, connecting corresponding data sources according to the data source information, creating a data source connection pool, registering the data source connection pool in a context container, and generating a unique identifier of the data source;
in the data processing process, the unique identification of the data source required by the data processing is obtained, so that the corresponding data source connection pool is obtained from the context container for data processing.
When a new data source is registered, generating a unique identifier of the data source by using a snowflake algorithm, and loading a data source connection pool instantiated by the data source into a global context container; when the data source is logged off, destroying the mapping relation between the data source connection pool and the global context, wherein the process comprises the following steps:
a new data source registration step:
s101: the user creates or maintains new data source information, i.e. data source connection information,
s102: after receiving the data source information, the server tries to test connection with the data source connection information, if the connection is successful, step S103 is executed, otherwise, the step S101 is returned;
s103: judging whether the successfully connected data source exists in the current context container, if so, returning to the step S101, otherwise, executing the step S104;
s104: according to the data source information, the server side is connected with the data source, a data source connection pool is created, the data source connection pool is registered in the context container, and the unique identification of the data source is generated.
A data source logout step:
s201: if the data source is no longer in use, a remove data source event needs to be sent;
s202: monitoring and acquiring a data source event, judging whether a data source corresponding to the data source event has a movable connection in use, if so, executing a step S203, otherwise, executing a step S204;
s203: and deleting the registration information of the data source in the context container, deleting all connections of the data source after the current active connection finishes work, and destroying the corresponding data source connection pool.
S204: and deleting all connections of the data source, destroying the corresponding data source connection pool, and deleting the registration information of the data source in the context container.
The data source dynamic loading and dynamic logout flow describes the full life cycle of a certain data source, in the using process of the data source, parameters in the session are dynamically analyzed according to context information switching of the current session (session control), the parameters are converted into snowflake id of the data source, a connection pool of the data source is obtained through the snowflake id, the information of the connection pool is bound to Thread context of the current Thread, the connection pool in the data source is enabled to be usable and Thread isolated, and the content in the Thread is destroyed after the Thread is executed, so that errors during Thread reuse are prevented;
fig. 1 shows a data source dynamic registration loading management flow in the method of this embodiment, which completes dynamic registration and loading control of multiple data sources. The following description will be made in detail with reference to fig. 1, taking a new data source connection as an example:
in step 401, the client sends new data source connection information to the server, wherein the address is localhost:3306, the user name is defenses, and the password is defenses;
in step 402, the server receives the connection information and tries to establish a data source connection;
in step 403, determining whether the connection is successful, and if so, executing step 404; if not, ending;
in step 404, analyzing the current data source connection parameter, acquiring a unique identifier, and executing 405;
in step 405, it is determined whether the current data source connection pool has been registered in the container of the global context, and if so, the process is ended and a success is returned; if not, then 406 is performed;
in step 406, creating a data source connection pool according to the data source parameters, generating a unique identifier by using a snowflake algorithm, and executing 407;
in step 407, this data source connection pool instance is registered into the global context container and uses the snowflake id as a unique identification.
The embodiment also provides a data isolation switching system for multiple data sources, which includes a memory and a processor, where the memory stores a computer program, and the processor calls the computer program to perform the steps of the data isolation switching method for multiple data sources as described above.
The foregoing detailed description of the preferred embodiments of the invention has been presented. It should be understood that numerous modifications and variations could be devised by those skilled in the art in light of the present teachings without departing from the inventive concepts. Therefore, the technical solutions available to those skilled in the art through logic analysis, reasoning and limited experiments based on the prior art according to the concept of the present invention should be within the scope of protection defined by the claims.
Claims (10)
1. A data isolation switching method of multiple data sources is characterized by comprising the steps of obtaining data source information, connecting corresponding data sources according to the data source information, creating a data source connection pool, registering the data source connection pool in a context container, and generating a unique identifier of the data source;
in the data processing process, the unique identification of the data source required by the data processing is obtained, so that the corresponding data source connection pool is obtained from the context container for data processing.
2. The data isolation switching method for multiple data sources according to claim 1, further comprising a new data source registration step, where the new data source registration step specifically includes:
s101: acquiring data source information of a data source to be registered,
s102: performing data source connection test according to the data source information, if the connection is successful, executing the step S103, otherwise, returning to the step S101;
s103: judging whether the successfully connected data source exists in the current context container, if so, returning to the step S101, otherwise, executing the step S104;
s104: and connecting the data source according to the data source information, creating a data source connection pool, registering the data source connection pool into a context container, and generating a unique identifier of the data source.
3. The method for data isolation switching between multiple data sources according to claim 1, wherein the method further comprises a data source logout step, and the data source logout step specifically comprises:
s201: generating a remove data source event;
s202: monitoring and acquiring the data source event, and judging whether a data source corresponding to the data source event has a movable connection in use, if so, executing a step S203, otherwise, executing a step S204;
s203: deleting the registration information of the data source in the context container, deleting all connections of the data source after finishing the work of the current active connection, and destroying the corresponding data source connection pool;
s204: and deleting all connections of the data source, destroying the corresponding data source connection pool, and deleting the registration information of the data source in the context container.
4. The method of claim 1, wherein a snowflake algorithm is used to generate the unique identifier of the data source.
5. The method for data isolation switching between multiple data sources according to claim 1, wherein the obtaining of the corresponding data source connection pool from the context container for data processing specifically includes:
and acquiring a corresponding data source connection pool from the context container, binding the data source connection pool to the thread context of the current thread, and processing data.
6. The data isolation switching method for multiple data sources according to claim 1, wherein in the data processing process, the obtaining of the unique identifier of the data source required for data processing specifically includes:
adding a unique identifier of a required data source into a global parameter in session control;
in the data processing process, the unique identifier of the data source required by data processing is acquired by analyzing the global parameter in the session control.
7. A data isolation switching system for multiple data sources, comprising a memory and a processor, wherein the memory stores a computer program, and the processor calls the computer program to execute the following steps:
acquiring data source information, connecting a corresponding data source according to the data source information, creating a data source connection pool, registering the data source connection pool in a context container, and generating a unique identifier of the data source;
in the data processing process, the unique identification of the data source required by the data processing is obtained, so that the corresponding data source connection pool is obtained from the context container for data processing.
8. The system for data isolation switching between multiple data sources according to claim 7, wherein the execution process of the processor further includes a new data source registration step, and the new data source registration step specifically includes:
s101: acquiring data source information of a data source to be registered,
s102: performing data source connection test according to the data source information, if the connection is successful, executing the step S103, otherwise, returning to the step S101;
s103: judging whether the successfully connected data source exists in the current context container, if so, returning to the step S101, otherwise, executing the step S104;
s104: and connecting the data source according to the data source information, creating a data source connection pool, registering the data source connection pool into a context container, and generating a unique identifier of the data source.
9. The system for switching data isolation of multiple data sources according to claim 7, wherein the execution process of the processor further includes a data source logout step, and the data source logout step specifically includes:
s201: generating a remove data source event;
s202: monitoring and acquiring the data source event, and judging whether a data source corresponding to the data source event has a movable connection in use, if so, executing a step S203, otherwise, executing a step S204;
s203: deleting the registration information of the data source in the context container, deleting all connections of the data source after finishing the work of the current active connection, and destroying the corresponding data source connection pool;
s204: and deleting all connections of the data source, destroying the corresponding data source connection pool, and deleting the registration information of the data source in the context container.
10. The system for data isolation switching between multiple data sources according to claim 7, wherein in the data processing process, the unique identifier of the data source required for acquiring data processing specifically includes:
adding a unique identifier of a required data source into a global parameter in session control;
in the data processing process, the unique identifier of the data source required by data processing is acquired by analyzing the global parameter in the session control.
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