CN114064148B - Data processing method, device, electronic device and storage medium - Google Patents

Abstract

The disclosure provides a data processing method, a device, electronic equipment and a storage medium, relates to the technical field of computers, and further relates to the field of databases, so as to at least solve the technical problems of complex operation process and high development cost in initializing a data set in a database in the related technology. The specific implementation scheme is as follows: implanting configuration information in the target starting container, wherein the configuration information is used for creating a plurality of data sets of the target type database and/or creating corresponding indexes for the plurality of data sets in the process of loading operation of the target starting container; and controlling the target starting container to execute the loading operation process, and calling configuration information at the target stage of the loading operation process to create a plurality of data sets and/or indexes corresponding to the plurality of data sets.

Description

Data processing method, device, electronic device and storage medium

technical field

The present disclosure relates to the field of computer technology, further to the field of databases, and in particular to a data processing method, device, electronic equipment, and storage medium.

Background technique

The database (MongoDB) based on distributed file storage can provide scalable high-performance data storage solutions for WEB applications. When privatizing a lightweight open source framework (such as Spring) project or deploying it on a public cloud, it is necessary to initialize the data set in the MongoDB database.

In related technologies, when initializing, commands or statement scripts for creating data collections and indexes can be executed, or the data collections and indexes can be created when the MongoDB document is operated for the first time through file annotations and index annotations in the Spring project data. However, in the related art, the operation process of initializing the MongoDB database is cumbersome and the development cost is relatively high.

Contents of the invention

The present disclosure provides a data processing method, device, electronic device and storage medium, so as to at least solve the technical problems of cumbersome operation process and high development cost of initializing a data set in a database in the related art.

According to an aspect of the present disclosure, there is provided a data processing method, including: implanting configuration information in the target startup container, wherein the configuration information is used to create a plurality of data of the target type database during the loading operation of the target startup container collection and/or create corresponding indexes for multiple data collections; control the target startup container to execute the loading operation process, and call the configuration information at the target stage of the loading operation process to create multiple data collections and/or multiple data collections corresponding to index.

According to yet another aspect of the present disclosure, a data processing device is provided, including: a configuration module configured to embed configuration information in a target startup container, wherein the configuration information is used to create a target when the target startup container executes a loading operation Multiple data collections of type database and/or create corresponding indexes for multiple data collections; create a module to control the target startup container to execute the loading operation process, and call the configuration information at the target stage of the loading operation process to create multiple A data set and/or indexes corresponding to multiple data sets.

According to yet another aspect of the present disclosure, an electronic device is provided, including: at least one processor; and a memory communicatively connected to the at least one processor; wherein, the memory stores instructions executable by the at least one processor, and the instructions are Execution by at least one processor, so that at least one processor can execute the data processing method proposed in the present disclosure.

According to yet another aspect of the present disclosure, there is provided a non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to cause a computer to execute the data processing method proposed in the present disclosure.

According to yet another aspect of the present disclosure, a computer program product is provided, including a computer program, and the computer program is executed by a processor to execute the data processing method proposed in the present disclosure.

In this disclosure, by embedding configuration information in the target startup container, the configuration information is used to create multiple data collections of the target type database and/or create corresponding indexes for multiple data collections during the loading operation of the target startup container , and then control the target startup container to execute the loading operation process, and call the configuration information at the target stage of the loading operation process to create multiple data sets and/or indexes corresponding to multiple data sets, achieving efficient creation of data sets in the database and The purpose of corresponding to the index of the data set realizes the simplification of the operation process of initializing the data set in the database, thereby reducing the effect of development cost, thus solving the cumbersome operation process of initializing the data set in the database in related technologies and the development Costly technical issues.

It should be understood that what is described in this section is not intended to identify key or important features of the embodiments of the present disclosure, nor is it intended to limit the scope of the present disclosure. Other features of the present disclosure will be readily understood through the following description.

Description of drawings

The accompanying drawings are used to better understand the present solution, and do not constitute a limitation to the present disclosure. in:

Fig. 1 is a schematic diagram of a data processing method in the related art;

FIG. 2 is a schematic diagram of another data processing method in the related art;

3 is a block diagram of a hardware structure of a computer terminal (or mobile device) for implementing a data processing method according to an embodiment of the present disclosure;

Fig. 4 is a flow chart of a data processing method according to an embodiment of the present disclosure;

Fig. 5a is a schematic diagram of an operation process of creating a data set and an index in the related art;

Fig. 5b is a schematic diagram of an operation process of creating a data set and an index according to an embodiment of the present disclosure;

FIG. 6a is a schematic diagram of an entity correspondence relationship in the related art;

Fig. 6b is a schematic diagram of entity correspondence according to an embodiment of the present disclosure;

Fig. 7 is a structural block diagram of a data processing device according to an embodiment of the disclosure.

Detailed ways

Exemplary embodiments of the present disclosure are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present disclosure to facilitate understanding, and they should be regarded as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

It should be noted that the terms "first" and "second" in the specification and claims of the present disclosure and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances such that the embodiments of the disclosure described herein can be practiced in sequences other than those illustrated or described herein. Furthermore, the terms "comprising" and "having", as well as any variations thereof, are intended to cover a non-exclusive inclusion, for example, a process, method, system, product or device comprising a sequence of steps or elements is not necessarily limited to the expressly listed instead, may include other steps or elements not explicitly listed or inherent to the process, method, product or apparatus.

The initialization process of the data collection in the MongoDB database includes creating the data collection and the index of the corresponding collection. In the existing scheme, the following two methods are usually used to initialize the data collection:

Method 1: Execute commands or statement scripts to create data sets and indexes in the MongoDB database. Although this method is simple and direct, when some user servers that cannot access the external network are deployed privately, they may not be able to log in to the MongoDB database, and thus cannot execute the corresponding statement. Also for public cloud projects, the MongoDB database in the production environment cannot be manually connected directly to execute statement operations, and when using manual operations for initialization, you also need to pay attention to the order and dependencies of creating tables and indexes.

For example, Figure 1 is a schematic diagram of a data processing method of related technologies. As shown in Figure 1, after initializing the data collection in the MongoDB database, manually create the data collection of the MongoDB database and its corresponding index, and then perform The project starts and finally ends the creation process.

Method 2: Create data collections and indexes when operating MongoDB documents for the first time through the Document annotation and Indexed annotation in the Spring project data. In this way, there is no need to log in to the device where the MongoDB database is located, and the program automatically creates collections and indexes when operating the database. However, this solution has shortcomings when the amount of user data is large and the MongoDB database needs to be divided into tables with the same structure.

Since the persistent class modified by the Document annotation can only create a field index modified by the Indexed annotation corresponding to a fixed data set, it cannot create an index for a data set with another name specified. Therefore, when the amount of user data is large and the MongoDB database needs to be divided into tables with the same structure, it is still necessary to log in to the MongoDB database to perform manual command operations. It also faces the problem that the corresponding server in Solution 1 cannot be connected and cannot be operated.

Although you can also use Document annotations to create the number of sub-tables as needed, create a large number of persistent entities with the same structure one by one, and then create collections and indexes by yourself when operating the database. However, this method will create a large number of repetitive structural entities, increase the burden of container loading when the service starts, and consume more server resources such as memory, and the repetitive code will also increase exponentially. And if the persistence layer code needs to be modified in the future, all persistent entity codes of the same structure will face modification, which increases a lot of development costs and is not conducive to the maintenance of the system itself.

For example, Figure 2 is a schematic diagram of another data processing method of the related technology. As shown in Figure 2, after initializing the data collection in the MongoDB database, the project is started first, and after the project is started, the first Create datasets and add indexes when manipulating MongoDB documents.

In the existing solution, when the Spring project is privatized or deployed on the public cloud, there are technical problems such as the cumbersome operation process of initializing the data collection in the database and the high development cost.

According to an embodiment of the present disclosure, a data processing method is provided. It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and, although the steps shown in the flowcharts Although a logical order is shown, in some cases the steps shown or described may be performed in an order different from that shown or described herein.

The method embodiments provided by the embodiments of the present disclosure may be executed in mobile terminals, computer terminals or similar electronic devices. Electronic device is intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other suitable computers. Electronic devices may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are by way of example only, and are not intended to limit implementations of the disclosure described and/or claimed herein. Fig. 3 shows a block diagram of a hardware structure of a computer terminal (or mobile device) for implementing the data processing method.

As shown in FIG. 3 , a computer terminal 300 includes a computing unit 301, which can perform calculations according to a computer program stored in a read-only memory (ROM) 302 or a computer program loaded from a storage unit 308 into a random access memory (RAM) 303. Various appropriate actions and processes are performed. In the RAM 303, various programs and data necessary for the operation of the computer terminal 300 can also be stored. The computing unit 301 , ROM 302 and RAM 303 are connected to each other through a bus 304 . An input/output (I/O) interface 305 is also connected to the bus 304 .

Multiple components in the computer terminal 300 are connected to the I/O interface 305, including: an input unit 306, such as a keyboard, a mouse, etc.; an output unit 307, such as various types of displays, speakers, etc.; a storage unit 308, such as a magnetic disk, an optical disk etc.; and a communication unit 309, such as a network card, a modem, a wireless communication transceiver, and the like. The communication unit 309 allows the computer terminal 300 to exchange information/data with other devices through a computer network such as the Internet and/or various telecommunication networks.

The computing unit 301 may be various general-purpose and/or special-purpose processing components having processing and computing capabilities. Some examples of computing units 301 include, but are not limited to, central processing units (CPUs), graphics processing units (GPUs), various dedicated artificial intelligence (AI) computing chips, various computing units that run machine learning model algorithms, digital signal processing processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 301 executes the data processing method described herein. For example, in some embodiments, the data processing method may be implemented as a computer software program tangibly embodied on a machine-readable medium, such as the storage unit 308 . In some embodiments, part or all of the computer program may be loaded and/or installed on the computer terminal 300 via the ROM 302 and/or the communication unit 309 . When a computer program is loaded into RAM 303 and executed by computing unit 301, one or more steps of the data processing methods described herein may be performed. Alternatively, in other embodiments, the computing unit 301 may be configured to execute the data processing method in any other suitable manner (for example, by means of firmware).

Various implementations of the systems and techniques described herein may be implemented in digital electronic circuitry, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), system-on-chip system (SOC), load programmable logic device (CPLD), computer hardware, firmware, software, and/or a combination thereof. These various embodiments may include being implemented in one or more computer programs executable and/or interpreted on a programmable system including at least one programmable processor, the programmable processor Can be special-purpose or general-purpose programmable processor, can receive data and instruction from storage system, at least one input device, and at least one output device, and transmit data and instruction to this storage system, this at least one input device, and this at least one output device an output device.

It should be noted here that, in some optional embodiments, the electronic device shown in FIG. 3 may include hardware components (including circuits), software components (including computer codes stored on computer-readable media), or hardware components. Combination of both Components and Software Components. It should be noted that FIG. 3 is only one example of a particular embodiment, and is intended to illustrate the types of components that may be present in the electronic devices described above.

Under the above operating environment, the present disclosure provides a data processing method as shown in FIG. 4 , which can be executed by the computer terminal shown in FIG. 3 or a similar electronic device. Fig. 4 is a flowchart of a data processing method provided according to an embodiment of the present disclosure. As shown in Figure 4, the method may include the following steps:

Step S40, implanting configuration information in the target startup container, wherein the configuration information is used to create multiple data sets of the target type database and/or create corresponding indexes for the multiple data sets during the loading operation of the target startup container;

The above target startup container is an open source application framework, for example, the target startup container may be an open source application framework Springboot container.

The aforementioned target type databases include but are not limited to MongoDB databases, relational database management system (MySQL) databases, and the like. The above multiple data collections may be multiple collections in the MongoDB database, or multiple data tables in MySQL.

Optionally, implanting the configuration information in the target startup container includes: implanting automatically executable code in the target startup container, the code can be used to create multiple data sets of the target type database and/or create the corresponding index.

Optionally, configuration information is implanted in the target startup container, and the configuration information is used to create multiple data sets of the target type database when the target startup container executes the loading operation.

Optionally, configuration information is embedded in the target startup container, and the configuration information is used to create corresponding indexes for multiple data sets during the loading operation of the target startup container.

Optionally, configuration information is embedded in the target startup container, and the configuration information is used to create multiple data sets of the target type database and create corresponding indexes for the multiple data sets during the loading operation of the target startup container.

Specifically, for the implementation process of embedding configuration information in the target startup container, reference may be made to the further introduction of the embodiments of the present disclosure, and details are not repeated here.

Step S42, control the target to start the container to execute the loading operation process, and call the configuration information at the target stage of the loading operation process, so as to create multiple data sets and/or indexes corresponding to the multiple data sets.

The target phase above is the last operational step before the load operation is complete.

According to the above step S40 to step S42 of the present disclosure, by embedding configuration information in the target startup container, the configuration information is used to create multiple data sets of the target type database and/or create multiple data sets for multiple data sets during the loading operation of the target startup container. The collection creates corresponding indexes, and then controls the target startup container to execute the loading operation process, and calls the configuration information at the target stage of the loading operation process to create multiple data collections and/or indexes corresponding to multiple data collections, achieving efficient database creation The purpose of the data set in the database and the index of the corresponding data set is to simplify the operation process of initializing the data set in the database, thereby reducing the development cost, thus solving the problem of initializing the data set in the database in related technologies Technical problems with cumbersome operation process and high development cost.

The data processing method in the foregoing embodiment will be further introduced below.

As an optional implementation manner, in step S40, implanting the configuration information in the target startup container includes: implanting the configuration information during the loading operation of the target startup container.

As an optional implementation manner, during the loading operation of the target startup container, implanting configuration information includes any of the following steps:

Step S401, during the loading operation process of the target startup container, based on the instance object provided by the target startup container, implant configuration information in the target startup container;

Specifically, based on the instance object provided by the target startup container, the implementation process of embedding configuration information in the target startup container can refer to the further introduction of the following embodiments.

Step S402, during the loading operation process of the target startup container, based on the native mode of the target type database, implant configuration information in the target startup container.

Wherein, the native mode is used to indicate that a native control command of the target type database is used to perform a control operation on the target type database.

Specifically, based on the native method of the target type database, the implementation process of embedding configuration information in the target startup container can refer to the further introduction of the following embodiments.

Based on the above step S401 or step S402, during the loading operation process of the target startup container, based on the instance object provided by the target startup container respectively, or based on the native mode of the target type database, configuration information can be implanted in the target startup container, so that In the subsequent loading operation, the configuration information is directly called, thereby improving the efficiency of creating multiple data sets and their corresponding indexes.

As an optional implementation manner, in step S401, based on the instance object provided by the target startup container, implanting configuration information in the target startup container includes:

Step S4011, initialize the first instance object, wherein the first instance object is provided by the target startup container, and the bottom layer of the first instance object establishes a connection with the target type database;

The above-mentioned first instance object may be a Mongo template instance object, that is, a MongoTemplate object. Among them, the MongoTemplate object can be provided by the Springboot container, and the bottom layer of the instance object establishes a connection with the MongoDB database.

Step S4012, embedding configuration information through the initialized first instance object to create multiple data sets and/or indexes corresponding to the multiple data sets.

Specifically, configuration information is implanted into the initialized first instance object to directly operate the MongoDB database, thereby creating multiple data sets and/or indexes corresponding to the multiple data sets.

Based on the above steps S4011 to S4012, configuration information can be embedded in the target startup container based on the instance objects provided by the target startup container, so as to use the first instance object to create multiple data sets and/or indexes corresponding to the multiple data sets.

As an optional implementation manner, in step S402, based on the native mode of the target type database, implanting configuration information in the target startup container includes:

Step S4021, creating a second instance object through a native control command of the target type database, wherein the second instance object is used to connect to the target type database;

The above-mentioned second instance object is a Mongo client object, that is, a MongoClient object, and the MongoClient object can establish a connection with the MongoDB database through the Internet Protocol (Internet Protocol, IP) address and port introduced by parameters.

Step S4022, acquire the third instance object of the target type database through the second instance object;

The above-mentioned third instance object may be a Mongo database object, that is, a MongoDataBase object.

Step S4023, acquire the target collection object of the target type database through the third instance object;

The above target collection object is a Mongo collection object, that is, a MongoCollection object.

Step S4024, embedding configuration information through the target collection object to create multiple data sets and/or indexes corresponding to multiple data sets.

For example, directly operate the MongoDB database through the MongoCollection object to create multiple data collections and indexes corresponding to multiple data collections.

Based on the above steps S4021 to S4024, configuration information can be embedded in the target startup container based on the native mode of the target type database, so as to create multiple data sets and/or indexes corresponding to multiple data sets.

As an optional implementation, in step S42, controlling the target startup container to execute the loading operation process, and invoking configuration information at the target stage includes: controlling the target startup container to execute the loading operation process, and the last operation before the loading operation is completed Step call configuration information.

Specifically, during the loading operation process of the control target startup container, the target startup container is first loaded with the required resources, and the configuration information is called in the last operation step before the loading operation is completed, which can make full use of the resources already loaded during the loading operation. resource.

As an optional implementation manner, multiple data sets have the same data structure.

Specifically, the persistent entity classes of multiple data collections are the same. Since the index has been created for the corresponding collection of the MongoDB database when the target startup container is initialized, there is no need to create an index through the annotation in the persistent entity. At this point, multiple collection sub-tables with the same data structure in the MongoDB database can be operated by using a persistent entity class.

The data processing method of the embodiment of the present disclosure will be introduced below with reference to schematic diagrams.

Figure 5a is a schematic diagram of the operation process of creating data sets and indexes in related technologies. As shown in Figure 5a, the deployer needs to manually create multiple data sets and indexes corresponding to multiple data sets in the MongoDB database. After the creation is completed Start the project service.

Fig. 5b is a schematic diagram of an operation process for creating data collections and indexes according to an embodiment of the present disclosure. As shown in Fig. 5b, after executing the data processing method of the embodiment of the present disclosure, the deployer can directly start the project service, and execute the loading in the project service During the operation, configuration information can be invoked to automatically create multiple data collections in multiple MongoDB databases and indexes corresponding to multiple data collections.

This disclosure invokes configuration information during the loading operation process of the target startup container to create multiple data sets and indexes corresponding to multiple data sets, which can realize automatic execution of initialization tasks when the project service is started, and can simplify the manual operation of logging into the database in related technologies to initialize the process. Furthermore, abnormal data that does not conform to the table structure or index caused by the manual execution time being later than the service startup time can be avoided, and at the same time. The loading process of the service container does not need to wait for the collection and index creation in the database to be completed, thereby reducing the service unavailable time when the project is released.

Figure 6a is a schematic diagram of an entity correspondence relationship in related technologies. As shown in Figure 6a, when adding Document annotations and Indexed annotations to a persistent entity class to operate a database table or collection, a persistent entity class can only The only corresponding index to initialize a collection with a name. For multiple collection sub-tables of the same structure, it is necessary to create the same number of persistent entity classes as the number of collections to achieve the purpose of initializing each collection sub-table. That is, when creating n data collections in the MongoDB database, it is necessary to create n persistent entity classes in the project container in one-to-one correspondence. This method is not conducive to subsequent operations on the MongoDB database and management of persistent entity classes.

Fig. 6b is a schematic diagram of entity correspondence according to an embodiment of the present disclosure. As shown in Fig. 6b, in the embodiment of the present disclosure, configuration information can be implanted in the target startup container, wherein the configuration information can be customized, and then can be customized as required Create multiple MongoDB data collections with the same data structure, and complete the creation of corresponding indexes for the data collections after the container is initialized. Therefore, when operating data collections of the same data structure, it is only necessary to create a persistent entity class in the project container, so as to realize convenient management of the persistent entity class.

In the embodiment of the present disclosure, configuration information is implanted in the target startup container, and the configuration information is used to create multiple data sets of the target type database and/or create corresponding indexes for multiple data sets during the loading operation of the target startup container. Then control the target to start the container to execute the loading operation process, and call the configuration information at the target stage of the loading operation process to create multiple data sets and/or indexes corresponding to multiple data sets, achieving efficient creation of data sets in the database and corresponding The purpose of indexing the data set is to simplify the operation process of initializing the data set in the database, thereby reducing the development cost, thus solving the cumbersome operation process and the development cost of initializing the data set in the database in related technologies Higher technical issues.

In the technical solution of this disclosure, the collection, storage, use, processing, transmission, provision, and disclosure of user personal information involved are all in compliance with relevant laws and regulations, and do not violate public order and good customs.

Through the description of the above embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be implemented by means of software plus a necessary general-purpose hardware platform, and of course also by hardware, but in many cases the former is better implementation. Based on this understanding, the essence of the technical solution of the present disclosure or the part that contributes to the related technology can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions to make a A terminal device (which may be a mobile phone, a computer, a server, or a network device, etc.) executes the methods described in various embodiments of the present disclosure.

The present disclosure also provides a data processing device, which is used to implement the above-mentioned embodiments and preferred implementation modes, and those that have been explained will not be repeated here. As used below, the term "module" may be a combination of software and/or hardware that realizes a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, implementations in hardware, or a combination of software and hardware are also possible and contemplated.

Fig. 7 is a structural block diagram of a data processing device according to one embodiment of the present disclosure. As shown in Fig. 7, a data processing device 700 includes:

The configuration module 701 is configured to embed configuration information in the target startup container, wherein the configuration information is used to create multiple data sets of the target type database and/or create corresponding index of;

The creation module 702 is configured to control the target startup container to execute the loading operation process, and call the configuration information during the target stage of the loading operation process, so as to create multiple data sets and/or indexes corresponding to the multiple data sets.

Optionally, the configuration module 701 is further configured to: implant configuration information when the target startup container executes a loading operation.

Optionally, the configuration module 701 is further configured to: during the loading operation process of the target startup container, based on the instance object provided by the target startup container, implant configuration information in the target startup container; or, during the loading operation process of the target startup container In , based on the native mode of the target type database, the configuration information is implanted in the target startup container, wherein the native mode is used to indicate that the target type database is controlled by the native control command of the target type database.

Optionally, the configuration module 701 is also used to: initialize the first instance object, wherein the first instance object is provided by the target startup container, and the bottom layer of the first instance object establishes a connection with the target type database; An instance object is embedded with configuration information to create multiple data sets and/or indexes corresponding to multiple data sets.

Optionally, the configuration module 701 is further configured to: create a second instance object through a native control command of the target type database, wherein the second instance object is used to connect to the target type database; obtain the third instance object of the target type database through the second instance object The instance object; the target collection object of the target type database is obtained through the third instance object; the configuration information is implanted through the target collection object, so as to create multiple data sets and indexes corresponding to the multiple data sets.

Optionally, the creation module 702 is further configured to: control the target startup container to execute a loading operation process, and invoke configuration information in the last operation step before the loading operation is completed.

Optionally, multiple data sets have the same data structure.

It should be noted that the above-mentioned modules can be realized by software or hardware. For the latter, it can be realized by the following methods, but not limited to this: the above-mentioned modules are all located in the same processor; or, the above-mentioned modules can be combined in any combination The forms of are located in different processors.

According to an embodiment of the present disclosure, the present disclosure also provides an electronic device, including a memory and at least one processor, where computer instructions are stored in the memory, and the processor is configured to execute the computer instructions to perform any one of the methods described above steps in the example.

Optionally, the above-mentioned electronic device may further include a transmission device and an input-output device, wherein the transmission device is connected to the above-mentioned processor, and the input-output device is connected to the above-mentioned processor.

Optionally, in the present disclosure, the above-mentioned processor may be configured to execute the following steps through a computer program:

S1. Embedding configuration information in the target startup container, wherein the configuration information is used to create multiple data sets of the target type database and/or create corresponding indexes for the multiple data sets during the loading operation of the target startup container;

S2, the control target starts the container to execute the loading operation process, and invokes the configuration information during the target phase of the loading operation process, so as to create multiple data sets and/or indexes corresponding to the multiple data sets.

Optionally, for specific examples in this embodiment, reference may be made to the examples described in the foregoing embodiments and optional implementation manners, and details are not repeated in this embodiment.

According to an embodiment of the present disclosure, the present disclosure also provides a non-transitory computer-readable storage medium storing computer instructions, the non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are set to run When performing the steps in any one of the above method embodiments.

Optionally, in this embodiment, the above-mentioned non-transitory computer-readable storage medium may be configured to store a computer program for performing the following steps:

S1. Embedding configuration information in the target startup container, wherein the configuration information is used to create multiple data sets of the target type database and/or create corresponding indexes for the multiple data sets during the loading operation of the target startup container;

S2, the control target starts the container to execute the loading operation process, and invokes the configuration information during the target phase of the loading operation process, so as to create multiple data sets and/or indexes corresponding to the multiple data sets.

Optionally, in this embodiment, the above-mentioned non-transitory computer-readable storage medium may include, but not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or equipment, or any of the above-mentioned any suitable combination. More specific examples of readable storage media would include one or more wire-based electrical connections, portable computer diskettes, hard disks, random access memory (RAM), read only memory (ROM), erasable programmable read only memory ( EPROM or flash memory), optical fiber, compact disk read only memory (CD-ROM), optical storage, magnetic storage, or any suitable combination of the foregoing.

According to an embodiment of the present disclosure, the present disclosure also provides a computer program product. Program codes for implementing the audio processing method of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general-purpose computer, a special purpose computer, or other programmable data processing devices, so that the program codes, when executed by the processor or controller, make the functions/functions specified in the flow diagrams and/or block diagrams Action is implemented. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package partly on the machine and partly on a remote machine or entirely on the remote machine or server.

In the above-mentioned embodiments of the present disclosure, the descriptions of each embodiment have their own emphases, and for parts not described in detail in a certain embodiment, reference may be made to relevant descriptions of other embodiments.

In the several embodiments provided in the present disclosure, it should be understood that the disclosed technical content can be realized in other ways. Wherein, the device embodiments described above are only illustrative. For example, the division of the units may be a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components may be combined or may be Integrate into another system, or some features may be ignored, or not implemented. In another point, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces, and the indirect coupling or communication connection of units or modules may be in electrical or other forms.

The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple units. Part or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present disclosure may be integrated into one processing unit, each unit may exist separately physically, or two or more units may be integrated into one unit. The above-mentioned integrated units can be implemented in the form of hardware or in the form of software functional units.

If the integrated unit is realized in the form of a software function unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, the essence of the technical solution of the present disclosure or the part that contributes to the related technology or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium. Several instructions are included to make a computer device (which may be a personal computer, server or network device, etc.) execute all or part of the steps of the methods described in the various embodiments of the present disclosure. The aforementioned storage media include: various media capable of storing program codes such as U disk, read-only memory (ROM), random access memory (RAM), removable hard disk, magnetic disk or optical disk.

The above descriptions are only preferred implementations of the present disclosure. It should be pointed out that those skilled in the art can make some improvements and modifications without departing from the principles of the present disclosure. These improvements and modifications are also It should be regarded as the protection scope of the present disclosure.

Claims (10)

1. A data processing method, comprising:

implanting configuration information in a target launch container, wherein the configuration information is used for creating a plurality of data sets of a target type database and/or creating corresponding indexes for the plurality of data sets in the process of loading operation of the target launch container;

controlling the target starting container to execute the loading operation process, and calling the configuration information in a target stage of the loading operation process to create the multiple data sets and/or indexes corresponding to the multiple data sets;

wherein implanting the configuration information in the target launch container comprises: implanting the configuration information during the execution of the loading operation by the target boot container;

wherein implanting the configuration information during execution of the loading operation by the target boot container comprises: implanting the configuration information in the target boot container based on an instance object provided by the target boot container during execution of the loading operation by the target boot container; or, in the process of executing the loading operation by the target starting container, implanting the configuration information in the target starting container based on a native mode of the target type database, wherein the native mode is used for representing that a native control command of the target type database is adopted to perform a control operation on the target type database;

wherein the plurality of data sets have the same data structure.

2. The method of claim 1, wherein implanting the configuration information in the target launch container based on an instance object provided by the target launch container comprises:

initializing a first instance object, wherein the first instance object is provided by the target launch container, and the bottom layer of the first instance object is connected with the target type database;

and implanting the configuration information through the initialized first instance object to create the multiple data sets and/or indexes corresponding to the multiple data sets.

3. The method of claim 1, wherein implanting the configuration information in the target launch container based on a native manner of the target type database comprises:

creating a second instance object through a native control command of the target type database, wherein the second instance object is used for connecting with the target type database;

acquiring a third instance object of the target type database through the second instance object;

acquiring a target set object of the target type database through the third instance object;

and implanting the configuration information through the target set object to create the plurality of data sets and/or indexes corresponding to the plurality of data sets.

4. The method of claim 1, wherein controlling the target boot container to perform the load operation procedure and invoking the configuration information at the target stage comprises:

and controlling the target starting container to execute the loading operation process, and calling the configuration information in the last operation step before the loading operation is completed.

5. A data processing apparatus comprising:

the configuration module is used for implanting configuration information into the target starting container, wherein the configuration information is used for creating a plurality of data sets of a target type database and/or creating corresponding indexes for the plurality of data sets in the process of loading operation of the target starting container;

the creating module is used for controlling the target starting container to execute the loading operation process and calling the configuration information in a target stage of the loading operation process so as to create the data sets and/or indexes corresponding to the data sets;

wherein the configuration module is further configured to: implanting the configuration information during the execution of the loading operation by the target boot container;

wherein the configuration module is further configured to: implanting the configuration information in the target boot container based on an instance object provided by the target boot container during execution of the loading operation by the target boot container; or, in the process of executing the loading operation by the target starting container, implanting the configuration information in the target starting container based on a native mode of the target type database, wherein the native mode is used for representing that a native control command of the target type database is adopted to perform a control operation on the target type database;

wherein the plurality of data sets have the same data structure.

6. The apparatus of claim 5, wherein the configuration module is further to:

initializing a first instance object, wherein the first instance object is provided by the target launch container, and the bottom layer of the first instance object is connected with the target type database;

and implanting the configuration information through the initialized first instance object to create the multiple data sets and/or indexes corresponding to the multiple data sets.

7. The apparatus of claim 5, wherein the configuration module is further to:

creating a second instance object through a native control command of the target type database, wherein the second instance object is used for connecting with the target type database;

acquiring a third instance object of the target type database through the second instance object;

acquiring a target set object of the target type database through the third instance object;

and implanting the configuration information through the target set object to create the plurality of data sets and/or indexes corresponding to the plurality of data sets.

8. The apparatus of claim 5, wherein the creation module is further to:

and controlling the target starting container to execute the loading operation process, and calling the configuration information in the last operation step before the loading operation is completed.

9. An electronic device, comprising:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein,,

the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-4.

10. A non-transitory computer readable storage medium storing computer instructions for causing the computer to perform the method of any one of claims 1-4.