CN110908726A - Data management method, device, equipment and computer readable storage medium - Google Patents
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- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
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- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
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Abstract
The invention provides a data management method, a data management device, data management equipment and a computer readable storage medium. The method comprises the following steps: sending a plug-in data requirement to a data distribution module so that the data distribution module sends data according to the plug-in data requirement; receiving data sent by a data distribution module; when the plug-in is initialized, loading data into a preset container through loading of a loading interface; when the card is run, the load data is read from the container. The scheme provided by the invention loads the business data depended by the plug-in through the loading interface arranged in the online service system, thereby isolating the plug-in from the business data, and enabling the business data management to be transparent under the condition that a plurality of plug-ins exist.
Description
Technical Field
The present invention relates to data management technologies, and in particular, to a data management method, apparatus, device, and computer readable storage medium.
Background
With the development of internet technology, the application of online service systems is becoming more and more widespread. For example, in the fields of medical treatment, education and the like, the online service system can be used for providing corresponding business functions.
In the prior art, in order to improve flexibility of access and iteration of an online service system, business logic is often plugged in. These plug-ins have certain business logic that relies on large amounts of data to provide online services to users.
However, when there are many plug-ins in the online service system, the amount of data that the plug-ins rely on is also increased, which results in that the online service system needs to manage a large amount of data, and only if the data is managed efficiently, the online service system can operate efficiently. Therefore, how to efficiently manage data that a service plug-in depends on is a technical problem that needs to be solved urgently by those skilled in the art.
Disclosure of Invention
The invention provides a data management method, a device, equipment and a computer readable storage medium, which aim to efficiently manage service data depended by service plug-ins.
A first aspect of the present invention provides a data management method, including:
sending a plug-in data requirement to a data distribution module so that the data distribution module sends data according to the plug-in data requirement;
receiving the data sent by the data distribution module;
when the plug-in is initialized, loading the data into a preset container through a loading interface;
and when the plug-in is operated, reading the loading data from the container.
Another aspect of the present invention provides a data management apparatus, including:
the sending module is used for sending the plug-in data requirement to the data distribution module so that the data distribution module sends data according to the plug-in data requirement;
the receiving module is used for receiving the data sent by the data distribution module;
the loading module is used for loading the data into a preset container through loading of a loading interface when the plug-in is initialized;
and the reading module is used for reading the loading data from the container when the plug-in is operated.
Still another aspect of the present invention is to provide a data management apparatus including:
a memory;
a processor; and
a computer program;
wherein the computer program is stored in the memory and configured to be executed by the processor to implement the data management method as described in the first aspect above.
Yet another aspect of the present invention provides a computer-readable storage medium having stored thereon a computer program for execution by a processor to implement the data management method according to the first aspect described above.
The data management method, the device, the equipment and the computer readable storage medium provided by the invention have the technical effects that:
the data management method, the data management device, the data management equipment and the computer-readable storage medium provided by the embodiment comprise the steps of sending plug-in data requirements to a data distribution module so that the data distribution module sends data according to the plug-in data requirements; receiving data sent by a data distribution module; when the plug-in is initialized, loading data into a preset container through loading of a loading interface; when the card is run, the load data is read from the container. The data management method, apparatus, device, and computer-readable storage medium provided in this embodiment receive service data on which a plug-in depends, and load the service data on which the plug-in depends through a loading interface set in an online service system when the plug-in is initialized, thereby isolating the plug-in from the service data itself, enabling the plug-in to be responsible for executing service logic, and not needing to process flows such as service data distribution, so that service data management can be made transparent under the condition that there are many plug-ins. And moreover, a container for storing and loading data is arranged, so that resources can be released in time after the plug-in is closed, and node resources are saved.
Drawings
FIG. 1 is a flow chart illustrating a method of data management in accordance with an exemplary embodiment of the present invention;
FIG. 2 is a flow chart illustrating a method of data management according to another exemplary embodiment of the present invention;
FIG. 3 is a block diagram illustrating a data management apparatus according to an exemplary embodiment of the present invention;
fig. 4 is a block diagram illustrating a data management apparatus according to another exemplary embodiment of the present invention;
fig. 5 is a block diagram illustrating a data management apparatus according to an exemplary embodiment of the present invention.
Detailed Description
Fig. 1 is a flowchart illustrating a data management method according to an exemplary embodiment of the present invention.
As shown in fig. 1, the data management method provided in this embodiment includes:
The method provided by the embodiment can be applied to an online service system, and the device with the online service system is used for executing the method provided by the embodiment. The online service system is a platform for providing services to users through a network-connectable system, such as an OA system for an enterprise. The online service system may be provided with a variety of functions, which may be implemented by plug-ins deployed in the system.
Specifically, when the online service system has a plurality of functions, the online service system may be distributed in a plurality of nodes, and the nodes may be servers, and the functions of the entire online service system may be supported by the plurality of nodes.
The online service system mainly comprises: the service framework, the service plug-in and the service dependent data. A service framework can be defined as a reusable design and incomplete implementation of a class of services. The service framework can provide basic service functions, for example, functions of logging in an account are required in each online service system, and therefore, the service framework can include the functions of logging in the account. The service plug-ins implement the service logic based on service dependent data, e.g., one service plug-in may calculate an average value from the data it depends on.
When the online service system is deployed on a computing node, in order to maximally utilize a single machine resource, a single online service node often supports multiple business logics, and in the scheme in the prior art, a plug-in executes the business logics and calls business data, so that the multiple business logics are not easy to maintain and manage when being simultaneously served.
In the data management method provided in this embodiment, a node of the online service system may send a plug-in data requirement to the data distribution module, and the node may specifically determine the plug-in data requirement according to a deployed plug-in. For example, after the online service system is started, the node with the online service system may send the plug-in data requirement to the data distribution module. The data distribution module can acquire corresponding data according to the plug-in data requirements and send the acquired data to the online service node.
Specifically, the data distribution module may obtain data from the online service system itself, or may obtain data from a database. For example, when plug-ins in the online service system have a logical relationship, if plug-in B provides a service using data generated by plug-in a, the data distribution module may acquire data generated by plug-in a and send the data to a node where plug-in B is located.
Further, all the nodes with the online service system may send the demand to the data distribution module, or some of the nodes may send the demand to the data distribution module. Each node can send plug-in data requirements to the data distribution module according to plug-ins in the deployed online service system. If the plug-ins deployed in the node a are a1 and a2, the plug-ins send requests for obtaining the service data depended by a1 and a2 to the data distribution module.
In actual application, when the plug-ins are deployed in a development stage, the dependent data of each plug-in can be configured. Therefore, the plug-in identification can be added into the plug-in data requirement, so that the data distribution module acquires the data corresponding to the plug-in according to the identification.
And 102, receiving the data sent by the data distribution module.
The data distribution module may be disposed in a server, and the server may be the same server as a node where the online service system is deployed, or may be a different server. If the server is a different server, the server where the data distribution module is located is connected with the node of the online system through the network, so that the node of the online service system can receive the data sent by the data distribution module through the network.
Specifically, the data distribution module is connected with the nodes of the online system in a wired and/or wireless manner.
Furthermore, a path for storing data can be preset in the node, and the received data can be stored in the preset path. For example, a folder named "data" is created on the C-disc, and the received data may be stored in the folder.
And 103, loading data into a preset container through loading interface loading when the plug-in is initialized.
In actual application, the plug-in needs to be initialized before running, so as to prepare for normal running of the plug-in, for example, data, memory space and the like required by the running of the plug-in.
In the method provided by this embodiment, an abstract load interface Loader is set in the online service system. The loading interface Loader is used for loading the service data depended by the plug-in.
Specifically, when the plug-in is initialized, the node may load the received data through a loading interface set in the online service system, and if the node is provided with a path for storing the data, the node may load the data from the preset path. In the method provided by the embodiment, the plug-in is only used for realizing the business logic, and the data of the plug-in is loaded by the loading interface in the online service system, so that the plug-in and the business data depended by the plug-in can be isolated, and the business data can be managed more conveniently.
Further, the data stored in the path may be service data that all plug-ins deployed in the node depend on, and when loading the data, only the service data that the started plug-in depends on may be loaded. For example, A, B, C plug-ins are deployed in a node, data on which A, B, C depends may be stored in a preset path of the node. When the plug-in A is initialized, the data corresponding to the plug-in A can be loaded only through the loading interface.
In practical applications, in the related field of computers, loading refers to loading of files or information when a program is started. When the plug-in is running, the corresponding function needs to be realized according to the service data on which the plug-in depends, so that the service data corresponding to the plug-in needs to be loaded.
A global container can be maintained for storing loading data successfully loaded. The functionality of maintaining a container may be provided in the service framework, and the node may maintain the container according to the configuration information of the service framework. When the data is loaded successfully, it is stored in the container. In one embodiment, one container may be maintained for storing the service data of each plug-in deployed by the node, in another embodiment, one container may be maintained for each plug-in for storing the service data of the plug-in, and when the plug-in is closed, the resources occupied by the container may be released.
Specifically, the container may be a memory of the node, and when the plug-in is started, the service data on which the plug-in depends is loaded to the container, and when the plug-in is closed, the container storing the part of the service data may be released, thereby reasonably utilizing the node resources.
And 104, reading the loading data from the container when the plug-in is operated.
Further, the plug-in may be run after initialization is completed. When the plug-in is running, the node can read the previously loaded data from the container and run the plug-in based on the loaded data, thereby providing the corresponding service to the user.
In practical application, when the plug-in is operated, corresponding data can be acquired from the container according to the operation condition. A plug-in may have multiple business dependent data, but at run-time, it may not be necessary to use these data at the same time, and the data currently needed by the plug-in at run-time may be retrieved from the container.
In the method provided by the embodiment, the plug-in is only responsible for executing the business logic, and the service framework of the online service system realizes the distribution and loading of the data, so that the plug-ins can be directly added or deleted when the plug-ins are added or deleted, and the business data cannot be influenced.
When the plug-in is closed, the service data corresponding to the plug-in stored in the container can be deleted, so that the resources are released.
The method provided by the embodiment is used for managing data, and is executed by a device provided with the method provided by the embodiment, and the device is generally realized in a hardware and/or software mode.
The data management method provided by the embodiment comprises the steps of sending plug-in data requirements to a data distribution module so that the data distribution module sends data according to the plug-in data requirements; receiving data sent by a data distribution module; when the plug-in is initialized, loading data into a preset container through loading of a loading interface; when the card is run, the load data is read from the container. The data management method provided by this embodiment receives the service data on which the plug-in depends, and loads the service data on which the plug-in depends through the loading interface set in the online service system when the plug-in is initialized, so as to isolate the plug-in from the service data itself, and enable the plug-in to be responsible for executing the service logic without processing the flows of service data distribution and the like, thereby enabling the service data management to be transparent under the condition that there are many plug-ins. And moreover, a container for storing and loading data is arranged, so that resources can be released in time after the plug-in is closed, and node resources are saved.
Fig. 2 is a flowchart illustrating a data management method according to another exemplary embodiment of the present invention.
As shown in fig. 2, the data management method provided in this embodiment includes:
The specific principles and implementation of steps 201-202 are similar to those of steps 101-102, and are not described herein again.
And when the plug-in is initialized, calling a loading interface, and loading the data into a preset container according to the configuration information corresponding to the data.
Wherein, a loading interface for loading data can be arranged in the online service system. And a preset container for storing data can be further arranged, and the data which is successfully loaded is placed in the container.
Specifically, after the plug-in is started, the plug-in needs to be initialized, and the plug-in is ready to run. The service data on which the plug-in depends can be loaded based on the loading interface, so that the plug-in is ready to run.
In a real-time manner, the type of data may also be determined when loading the data. In the method provided by this embodiment, the data includes at least two types: built-in type, custom type. The built-in type data refers to general data configured in the online service system, and the custom type data refers to data configured individually according to user requirements. For example, the online service system can be used by different users, and the data required by different users is built-in data, which can be configured in the system in advance. According to the requirements of different users, user-defined data can be configured in the systems used by different users.
If the data includes custom data, step 203 is executed, and if the data includes built-in data, step 205 is executed.
And step 203, determining the custom configuration information according to the custom data.
The user-defined data is service data which is configured in a personalized mode according to user requirements. Configuration information of the custom data can be set in the system in advance, for example, the storage form of the custom data in the container is an array.
Specifically, new custom data may be added to the system, and at this time, the original address of the custom data, the storage form in the container, and the like may be configured through the front end of the system.
And 204, calling a loading interface, and loading the custom data into a preset container according to the custom configuration information.
Further, a load interface may be invoked. And defining a loading interface in the system in advance, so that the loading interface can be directly called, and custom data can be loaded into a preset container according to the custom configuration information. Specifically, the data is loaded into a preset container according to the custom configuration information corresponding to the custom data, for example, the storage form of the custom data in the container included in the custom configuration information is an array, and when the custom data is loaded by the loading interface, the custom data is placed in the preset container in the array form.
In actual application, the form of the user-defined data may be different from the built-in data, and the storage mode of the user-defined data may also be different from the built-in data, so that the user-defined data is loaded according to the user requirements, and the flexibility of data management can be improved.
If the service data of the plug-in does not include the custom data, step 203 and step 204 do not need to be executed.
And step 205, calling a loading interface, and loading the built-in data into a preset container according to preset configuration information.
Configuration information can be preset in the online system and used for loading built-in data. The built-in data refers to general data configured in the online service system, so that configuration information can be preset on the data without a user configuring the data independently. For example, the preset configuration information is that data is stored in a preset container in a map form, and the loading interface may directly store the built-in data in the preset container in the map form when loading the built-in data.
Specifically, different preset configuration information may be set for different built-in data, and at this time, the corresponding preset configuration information may be determined according to the specific built-in data, and the built-in data is loaded into the preset container based on the configuration information. The timing sequence of steps 203, 204 and 205 is not limited. In the method provided by the embodiment, the plug-in can be loaded according to the type of the service data depended on by the plug-in, so that the flexibility of data management is improved. And the data is loaded through the set loading interface, the plug-in and the data depending on the plug-in can be isolated, and the data depending on the plug-in cannot be influenced when the plug-in is adjusted, so that the plug-in is convenient to adjust.
Optionally, the method provided in this embodiment may further include:
and step 206, receiving the new version data sent by the data distribution module.
In the service process of the online service, a scene of service data update often appears. In the method provided in this embodiment, when the service data is updated, the data distribution module may send new data to the service node.
After the service data is updated, the data distribution module sends the updated data to the service node, and specifically, the node to be sent can be determined according to the plug-in data requirement. For example, the node a sends the data a to be used to the data distribution module, and after the data a is updated, the data distribution module may send the new version data a to the node a, but not send the new version data a to other nodes.
Specifically, the data distribution module is connected with a database or other modules for storing and generating data, and when the data is updated, the data distribution module can acquire new version data.
And step 207, loading the new version data to the preset container through the loading interface, and replacing original data in the preset container with the new version data.
After receiving the new version data, the new version data can be stored in the designated path, a loading interface set in the online system is called, and the new version data is loaded into a preset container through the loading interface.
The method for loading the new version of data is similar to the method for loading the original data, and can judge whether the new version of data is self-defined data or built-in data and execute a corresponding recording method according to the type of the data.
Wherein the original data in the pre-set container can be replaced with the new version data.
Specifically, the data may include a data identifier, and the new version data may be used to replace original data that is the same as the new version data identifier, for example, if the new version data identifier is k, the original data identified as k is found in a preset container, and data content in the new version data k is used to replace data content in the original data k, thereby implementing data update.
And in the running process of the plug-in, when the data is acquired from the preset container again, the acquired data is the new version data. Therefore, according to the method provided by the embodiment, by setting the loading interface for loading the data, when the data is updated, the plug-in can be operated based on the new version of data without restarting the online system or the plug-in, and the cost for maintaining the plug-in can be reduced when the mobile phone is upgraded.
Fig. 3 is a block diagram illustrating a data management apparatus according to an exemplary embodiment of the present invention.
As shown in fig. 3, the data management apparatus provided in this embodiment includes:
a sending module 31, configured to send a plug-in data requirement to a data distribution module, so that the data distribution module sends data according to the plug-in data requirement;
a receiving module 32, configured to receive the data sent by the data distribution module;
the loading module 33 is configured to load the data into a preset container through a loading interface when the plug-in is initialized;
and the reading module 34 is used for reading the loading data from the container when the plug-in is operated.
The sending module 31, the receiving module 32, the loading module 33, and the reading module 34 are connected in sequence.
The data management device provided by the embodiment comprises: the sending module is used for sending the plug-in data requirement to the data distribution module so that the data distribution module sends data according to the plug-in data requirement; the receiving module is used for receiving the data sent by the data distribution module; the loading module is used for loading data into a preset container through loading of a loading interface when the plug-in is initialized; and the reading module is used for reading the loading data from the container when the plug-in unit is operated. The data management device provided in this embodiment receives the service data that the plug-in depends on, and loads the service data that the plug-in depends on through the loading interface set in the online service system when the plug-in is initialized, so as to isolate the plug-in from the service data itself, and enable the plug-in to be responsible for executing the service logic without processing the flows of service data distribution and the like, so that the service data management can be made transparent under the condition that many plug-ins are provided. And moreover, a container for storing and loading data is arranged, so that resources can be released in time after the plug-in is closed, and node resources are saved.
The specific principle and implementation of the data management apparatus provided in this embodiment are similar to those of the embodiment shown in fig. 1, and are not described here again.
Fig. 4 is a block diagram illustrating a data management apparatus according to another exemplary embodiment of the present invention.
As shown in fig. 4, on the basis of the foregoing embodiment, in the data management apparatus provided in this embodiment, the loading module 33 is specifically configured to:
and calling the loading interface, and loading the data into the preset container according to the configuration information corresponding to the data.
Optionally, if the data includes custom data, the apparatus further includes:
a determining module 35, configured to determine custom configuration information according to the custom data;
the loading module 33 includes:
a custom loading unit 331, configured to load the custom data into the preset container according to the custom configuration information.
Optionally, if the data includes built-in data, the loading module 33 includes:
a built-in loading unit 332, configured to load the built-in data into the preset container according to preset configuration information.
Optionally, the receiving module 32 is further configured to receive the new version data sent by the data distribution module;
the loading module 33 includes:
and the update loading unit 333 is configured to load the new version data into the preset container through a loading interface, and replace the original data in the preset container with the new version data.
The specific principle and implementation of the data management apparatus provided in this embodiment are similar to those of the embodiment shown in fig. 2, and are not described here again.
Fig. 5 is a block diagram illustrating a data management apparatus according to an exemplary embodiment of the present invention.
As shown in fig. 5, the data management apparatus provided in the present embodiment includes:
a memory 51;
a processor 52; and
a computer program;
wherein the computer program is stored in the memory 51 and configured to be executed by the processor 52 to implement any of the data management methods as described above.
The present embodiments also provide a computer-readable storage medium, having stored thereon a computer program,
the computer program is executed by a processor to implement any of the data management methods described above.
Those of ordinary skill in the art will understand that: all or a portion of the steps of implementing the above-described method embodiments may be performed by hardware associated with program instructions. The program may be stored in a computer-readable storage medium. When executed, the program performs steps comprising the method embodiments described above; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (12)
1. A method for managing data, comprising:
sending a plug-in data requirement to a data distribution module so that the data distribution module sends data according to the plug-in data requirement;
receiving the data sent by the data distribution module;
when the plug-in is initialized, loading the data into a preset container through a loading interface;
and when the plug-in is operated, reading the loading data from the container.
2. The method of claim 1, wherein loading the data into a preset container through a loading interface comprises:
and calling the loading interface, and loading the data into the preset container according to the configuration information corresponding to the data.
3. The method of claim 2, wherein if the data comprises custom data, the method further comprises:
determining custom configuration information according to the custom data;
the loading the data into the preset container according to the configuration information corresponding to the data includes:
and loading the custom data into the preset container according to the custom configuration information.
4. The method according to claim 2 or 3, wherein if the data includes built-in data, the loading the data into the preset container according to the configuration information corresponding to the data includes:
and loading the built-in data into the preset container according to preset configuration information.
5. The method according to any one of claims 1-3, further comprising:
receiving new version data sent by the data distribution module;
and loading the new edition data to the preset container through a loading interface, and replacing original data in the preset container with the new edition data.
6. A data management apparatus, comprising:
the sending module is used for sending the plug-in data requirement to the data distribution module so that the data distribution module sends data according to the plug-in data requirement;
the receiving module is used for receiving the data sent by the data distribution module;
the loading module is used for loading the data into a preset container through loading of a loading interface when the plug-in is initialized;
and the reading module is used for reading the loading data from the container when the plug-in is operated.
7. The apparatus of claim 6, wherein the loading module is specifically configured to:
and calling the loading interface, and loading the data into the preset container according to the configuration information corresponding to the data.
8. The apparatus of claim 7, wherein if the data comprises custom data, the apparatus further comprises:
the determining module is used for determining the custom configuration information according to the custom data;
the loading module comprises:
and the custom loading unit is used for loading the custom data into the preset container according to the custom configuration information.
9. The apparatus of claim 7 or 8, wherein if the data comprises built-in data, the loading module comprises:
and the built-in loading unit is used for loading the built-in data into the preset container according to preset configuration information.
10. The apparatus according to any one of claims 6 to 8,
the receiving module is also used for receiving the new version data sent by the data distribution module;
the loading module comprises:
and the updating and loading unit is used for loading the new edition data to the preset container through a loading interface and replacing the original data in the preset container with the new edition data.
11. A data management apparatus, characterized by comprising:
a memory;
a processor; and
a computer program;
wherein the computer program is stored in the memory and configured to be executed by the processor to implement the method of any of claims 1-5.
12. A computer-readable storage medium, having stored thereon a computer program,
the computer program is executed by a processor to implement the method according to any of claims 1-5.
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| CN201811075628.2A CN110908726B (en) | 2018-09-14 | 2018-09-14 | Data management method, device, equipment and computer readable storage medium |
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| CN201811075628.2A CN110908726B (en) | 2018-09-14 | 2018-09-14 | Data management method, device, equipment and computer readable storage medium |
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| CN110908726B CN110908726B (en) | 2024-09-17 |
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