CN110888939A - A data management method and device - Google Patents

Abstract

The invention discloses a data management method and device, and relates to the technical field of computers. A specific implementation of the method includes: performing full field analysis on the target data table in the database, and determining the header field of the target data table; creating an entity object in the memory according to the header field, and performing the analysis in the target data table. The full amount of data is queried to obtain the full amount of data; the full amount of data is stored in the entity object, so as to realize the extraction of the data in the database into the memory. After the data in the database is extracted into the memory in this implementation manner, the utilization rate of the memory can be improved; in addition, since the data in the memory is transparent, the data in the memory can be obtained without additional processing of database query requests, and only the data in the memory can be obtained. A query is required, which is close to a closed loop, so the query efficiency can be further improved.

Description

A data management method and device

technical field

The present invention relates to the field of computer technology, and in particular, to a data management method and device.

Background technique

At present, there are many reading schemes for data in relational data tables, such as: 1. Direct query; 2. Cache and multi-level cache after query.

In the process of realizing the present invention, the inventor found that there are at least the following problems in the prior art:

1. Direct query: no memory is used to store a large amount of relational data, and the utilization rate of memory is low; when the amount of data to be queried is large, the database needs to be queried many times, and the query efficiency is low;

2. Cache and multi-level cache after query: Querying data from the cache can improve query efficiency to a certain extent, but when querying data, it is necessary to process relational data according to different business requirements, and then customize the encoded query statement to After completing the query of relational data in the cache, the query efficiency is still not high.

SUMMARY OF THE INVENTION

In view of this, the embodiments of the present invention provide a data management method and device, which can improve the utilization rate of the memory after the data in the database is extracted into the memory; in addition, since the data in the memory is transparent, no additional processing is required The data in the memory can be obtained by the database query request, and only one query is required, which is close to the application closed loop, so the query efficiency can be further improved.

To achieve one or more of the above objects, according to an aspect of the embodiments of the present invention, a data management method is provided.

The data management method according to the embodiment of the present invention includes:

Perform full field analysis on the target data table in the database to determine the header field of the target data table;

Create an entity object in memory according to the header field, and perform full data query in the target data table to obtain full data;

The full amount of data is stored in the entity object, so as to extract the data in the database into the memory.

Optionally, user configuration information is obtained when the application is initialized, and the target data table is determined according to the user configuration information; wherein, the user configuration information includes: database domain name or IP address, database name, and table name.

Optionally, the data management method according to the embodiment of the present invention further includes: querying data in the memory according to the following steps:

Intercept database query requests for querying target data tables in the database;

Parse the query condition from the database query request, and convert the database query request into a memory query request corresponding to the memory according to the query condition;

Data query is performed in memory according to the memory query request.

Optionally, the data management method of the embodiment of the present invention further includes: presetting a key field of each target data table; when the query request contains the key field, determining that the query request is a database query for the target table ask.

According to yet another aspect of the embodiments of the present invention, a data management apparatus is provided.

A data management apparatus according to an embodiment of the present invention includes:

The parsing module performs full field analysis on the target data table in the database, and determines the header field of the target data table; performs full data query in the target data table according to the header field to obtain full data;

Create a module and create an entity object in memory based on the header field;

The storage module stores the full amount of data in the entity object, so as to extract the data in the database into the memory.

Optionally, the parsing module is also used to: obtain user configuration information when the application is initialized, and determine the target data table according to the user configuration information; wherein, the user configuration information includes: database domain name or IP address, database name, table name.

Optionally, the data management apparatus in the embodiment of the present invention further includes:

The interception module intercepts the database query request for querying the target data table in the database;

The conversion module parses the query condition from the database query request, and converts the database query request into a memory query request corresponding to the memory according to the query condition;

The query module performs data query in the memory according to the memory query request.

Optionally, the interception module is further configured to: preset a key field of each target data table; when the query request contains the key field, determine that the query request is a database query request for the target table.

According to another aspect of the embodiments of the present invention, a data management electronic device is provided.

The data management electronic device according to the embodiment of the present invention includes:

one or more processors;

storage means for storing one or more programs,

When the one or more programs are executed by the one or more processors, the one or more processors implement the data management method provided by the first aspect of the embodiments of the present invention.

According to another aspect of the embodiments of the present invention, a computer-readable medium is provided.

A computer-readable medium according to an embodiment of the present invention stores a computer program thereon, and when the program is executed by a processor, implements the data management method provided by the first aspect of the embodiment of the present invention.

An embodiment of the above invention has the following advantages or beneficial effects: creating an entity object in the memory according to the header field of the target data table in the database, and then storing the full data of the target data table in the entity object, which can realize the The data is extracted to the memory, which improves the utilization of the memory. Since the full amount of data in the target data table is stored in the memory, there is no need to query the data from the database, so the query efficiency can be greatly improved. Intercept the database query request for querying the target data table in the database, and convert the database query request into a memory query request corresponding to the memory according to the parsed query conditions, so that the data in the memory is transparent, and no additional processing of the database query request is required. The data in the memory can be obtained, and only one query is required, which is close to the application closed loop, so the query efficiency can be further improved.

Further effects of the above non-conventional alternatives will be described below in conjunction with specific embodiments.

Description of drawings

The accompanying drawings are used for better understanding of the present invention and do not constitute an improper limitation of the present invention. in:

1 is a schematic diagram of the main flow of a data management method according to an embodiment of the present invention;

2 is a schematic diagram of the main flow of a data management method according to some embodiments of the present invention;

3 is a schematic diagram of a main flow of a data management method according to further embodiments of the present invention;

4 is a schematic diagram of the main flow of a data management method according to still some embodiments of the present invention;

5 is a schematic diagram of main modules of a data management apparatus according to an embodiment of the present invention;

FIG. 6 is an exemplary system architecture diagram to which an embodiment of the present invention may be applied;

FIG. 7 is a schematic structural diagram of a computer system suitable for implementing a terminal device or a server according to an embodiment of the present invention.

Detailed ways

Exemplary embodiments of the present invention are described below with reference to the accompanying drawings, which include various details of the embodiments of the present invention to facilitate understanding and should be considered 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 invention. Also, descriptions of well-known functions and constructions are omitted from the following description for clarity and conciseness.

Some technical terms mentioned in the present invention are explained below:

Relational data: It is a database based on the relational model, and the data in the database is processed by means of mathematical concepts and methods such as set algebra.

Read-only: only query operations, not update or delete operations.

Memory: Memory is one of the important components in the computer, it is the bridge to communicate with the CPU.

Interceptor: Provides a mechanism that allows developers to define code that is executed before and after an action is executed, and can also prevent an action from executing before it is executed. It also provides a mechanism that can be reused in extraction actions part of the way. In AOP (Aspect-Oriented Programming), interceptors are used to intercept a method or field before it is accessed, and then add certain operations before or after it.

According to an aspect of the embodiments of the present invention, a data management method is provided.

FIG. 1 is a schematic diagram of a main flow of a data management method according to an embodiment of the present invention. As shown in FIG. 1 , the data management method according to an embodiment of the present invention includes step S101 , step S102 and step S103 .

Step S101 , perform full field analysis on the target data table in the database, and determine the header field of the target data table.

In the actual application process, the tool using the data management method of the embodiment of the present invention can provide a user-defined configuration service to the user accessing the tool, and the user can complete the designation of each target data table through the service. The application program connected to this tool can trigger the full field parsing service of this tool when it is initialized, and confirm which target data tables need to be parsed by reading the data in the user-defined configuration.

Optionally, user configuration information is obtained when the application is initialized, and the target data table is determined according to the user configuration information; wherein, the user configuration information includes: database domain name or IP address, database name, and table name.

Suppose there is the following read-only relational quotation data table, where the database domain name is: mysql.storage.com, the database name is: quote_db, and the table name is: storage_quote. User-defined configuration needs to specify the specific information of the table, the configuration information should be: mysql,storage,com/quote_db? table_name=storage_quote. In this way, the data table storage_quote is specified as the target data table.

Table 1 Read-only relational quotation data table

id quote_code quote_name service_code service_name 1 BOOK001 book quotes storage01 warehousing services 2 FRESH001 Fresh offer storage01 warehousing services 3 GLOBAL001 Global Buying Quote storage01 warehousing services

Perform full field analysis on the target data table in Table 1, and analyze the structure of the target data table, that is, read the header information of the target data table to obtain the following fields: id, quote_code, quote_name, service_code, service_name.

Step S102 , creating an entity object in the memory according to the header field, and querying the full amount of data in the target data table to obtain the full amount of data.

Taking the embodiment corresponding to Table 1 as an example, the name of the target data table storage_quote may be used as the name of the entity object, and an entity: storage_quote may be created in the memory. Next, perform full data query. Full data refers to all data in the target data table.

Step S103: Store the full amount of data in the entity object, so as to extract the data in the database into the memory.

Taking the embodiment corresponding to Table 1 as an example, the specific information stored in the memory is as follows:

In the prior art, when relational data is required, it is necessary to code and query the relational database in order to obtain the relational data. The main solution for obtaining relational data is to obtain it in the relational database in real time, instead of using memory to store a large number of relationships. type data, the utilization of memory is low.

The invention creates an entity object in the memory according to the header field of the target data table in the database, and then stores the full data of the target data table in the entity object, so that the data in the database can be extracted into the memory, and the utilization rate of the memory is improved. . Since the full amount of data in the target data table is stored in the memory, there is no need to query the data from the database, so the query efficiency can be greatly improved. In addition, since the target data table is read in full, theoretically, there is no return to the source (that is, if no data is obtained in the memory, then continue to query and extract from the database).

It should be noted that the method in the embodiment of the present invention is applicable to various types of data, such as relational data or relational data, and read-only data or other non-read-only data.

FIG. 2 is a schematic diagram of the main flow of a data management method according to some embodiments of the present invention. As shown in Figure 2, the main flow of the data management method includes:

First, provide a custom configuration service for users who access this tool, and users can complete the designation of the required target data table through this service;

When the application system connected to this tool is initialized, read the data in the custom configuration service to confirm which target data tables need to be parsed;

If there is no configuration in the custom configuration service, it means that there is no target data table to be parsed, and the process ends;

Otherwise, initialize the relational data full field parsing service; parse the target table according to the user-defined configuration, generate an in-memory data structure, and query the full amount of data in the target data table; trigger the memory read/storage service to store the full amount of data in memory ; at this point, the initialization of the application system is completed, and the process ends.

Optionally, the data management method according to the embodiment of the present invention further includes: querying data in memory according to the following steps: intercepting a database query request for querying a target data table in a database; parsing query conditions from the database query request, according to the The query condition converts the database query request into a memory query request corresponding to the memory; and performs data query in the memory according to the memory query request.

After the relational data is stored in the memory in the prior art, the relational data needs to be processed according to different business requirements, and then customized coding is required to complete the query of the relational data in the memory, and the query efficiency is low.

The invention intercepts the database query request for querying the target data table in the database, and converts the database query request into a memory query request corresponding to the memory according to the parsed query conditions, so that the data in the memory is transparent, and no additional processing of the database is required. The data in memory can be obtained by query request, and only one query is required, which is close to the application closed loop, so the query efficiency can be further improved.

Optionally, the data management method of the embodiment of the present invention further includes: presetting a key field of each target data table; when the query request contains the key field, determining that the query request is a database query for the target table ask.

Taking the embodiment shown in Table 1 as an example, when the keyword select&&storage_quote is intercepted (select&&storage_quote is a preset keyword, indicating a query operation for the target data table), that is, the query request contains the keyword select&&storage_quote, and the current query is determined. The database query request against the target data table when requested. When executing the command conversion operation of converting the database query request into a memory query request corresponding to the memory according to the query condition, the specific conversion operation is as follows:

Example 1: The user expects to execute the command (ie database query request): select*from mstorage_quotewhere id=1;

Then it is converted to: storage_quote_set.foreach(if(storage_quote::getId()==1)return storage_quote;)); that is, match the data whose id is equal to 1 in the storage quotation set.

Example 2: The user expects to execute the command: select*from storage_quote where quote_code='GLOABL001'and service_code='storage01';

Then it is converted to: storage_quote_set.foreach(storage_quote::getQuote_code().equals("GLOABL001")&&getService_code.equals("storage01")){return storage_quote;}); that is, match quote_code equal to "GLOABL001" in the storage quote set and service_code is equal to the data of "storage01".

FIG. 3 is a schematic diagram of a main flow of a data management method according to further embodiments of the present invention. As shown in Figure 3, the main flow of the data management method includes:

First, the method in the embodiment of the present invention is used to extract the full amount of data in the target data table in the database into the memory. For the specific extraction method, refer to the embodiment shown in FIG. 2 or steps S101 to S103, which will not be repeated here;

Receive a query command (ie, query request);

Query command interceptor (the interceptor is used to intercept the database query request for querying the target data table in the database) to intercept;

Read the data in the custom configuration service;

If the current query command does not need to be intercepted, that is, the current query command does not query the target data table in the database, the process ends;

Otherwise, call the query command conversion service to convert the database query request into a memory query request corresponding to the memory; the query command conversion service transmits the conversion result (that is, the memory query request) to the memory data read/storage service; memory data read/storage The service executes the memory data read command (that is, the memory query request) and returns the result. At this point, the process ends.

FIG. 4 is a schematic diagram of a main flow of a data management method according to further embodiments of the present invention. As shown in Figure 4, the main flow of the data management method includes:

First, provide a custom configuration service for users who access this tool, and users can complete the designation of the required target data table through this service;

When the application system connected to this tool is initialized, read the data in the custom configuration service to confirm which target data tables need to be parsed;

When the application system is initialized, the full field analysis service of the relational data table is invoked to extract the full amount of data in the target data table into the memory. For specific steps, refer to the flow of the embodiment shown in FIG. 2 , which will not be repeated here;

When a query command (ie, query request) is received, the command interceptor (the interceptor is used to intercept the database query request for querying the target data table in the database) is called to intercept; if the current query command needs to be intercepted, that is, the current query command is For querying the target data table in the database, the query command conversion service is called to convert the database query request into a memory query request corresponding to the memory; then the memory data read/storage service is called to execute the memory data read command (that is, the memory query request). ) and return the result, at this point, the process ends.

According to yet another aspect of the embodiments of the present invention, a data management apparatus is provided.

FIG. 5 is a schematic diagram of main modules of a data management apparatus according to an embodiment of the present invention. As shown in FIG. 5 , a data management apparatus 500 according to an embodiment of the present invention includes:

The parsing module 501 performs full field analysis on the target data table in the database, and determines the header field of the target data table; performs full data query in the target data table according to the header field to obtain full data;

The creating module 502 creates an entity object in memory according to the header field;

The storage module 503 stores the full amount of data in the entity object, so as to extract the data in the database into the memory.

Optionally, the parsing module is also used to: obtain user configuration information when the application is initialized, and determine the target data table according to the user configuration information; wherein, the user configuration information includes: database domain name or IP address, database name, table name.

Optionally, the data management apparatus in the embodiment of the present invention further includes:

The interception module (not shown in the figure) intercepts the database query request for querying the target data table in the database;

a conversion module (not shown in the figure), which parses the query condition from the database query request, and converts the database query request into a memory query request corresponding to the memory according to the query condition;

The query module (not shown in the figure) performs data query in the memory according to the memory query request.

Optionally, the interception module is further configured to: preset a key field of each target data table; when the query request contains the key field, determine that the query request is a database query request for the target table.

According to another aspect of the embodiments of the present invention, a data management electronic device is provided.

The data management electronic device according to the embodiment of the present invention includes:

one or more processors;

storage means for storing one or more programs,

When the one or more programs are executed by the one or more processors, the one or more processors implement the data management method provided by the first aspect of the embodiments of the present invention.

According to another aspect of the embodiments of the present invention, a computer-readable medium is provided.

A computer-readable medium according to an embodiment of the present invention stores a computer program thereon, and when the program is executed by a processor, implements the data management method provided by the first aspect of the embodiment of the present invention.

An embodiment of the above invention has the following advantages or beneficial effects: creating an entity object in the memory according to the header field of the target data table in the database, and then storing the full data of the target data table in the entity object, which can realize the The data is extracted to the memory, which improves the utilization of the memory. Since the full amount of data in the target data table is stored in the memory, there is no need to query the data from the database, so the query efficiency can be greatly improved. Intercept the database query request for querying the target data table in the database, and convert the database query request into a memory query request corresponding to the memory according to the parsed query conditions, so that the data in the memory is transparent, and no additional processing of the database query request is required. The data in the memory can be obtained, and only one query is required, which is close to the application closed loop, so the query efficiency can be further improved.

FIG. 6 shows an exemplary system architecture 600 to which a data management method or data management apparatus of an embodiment of the present invention may be applied.

As shown in FIG. 6 , the system architecture 600 may include terminal devices 601 , 602 , and 603 , a network 604 and a server 605 . The network 604 is a medium used to provide a communication link between the terminal devices 601 , 602 , 603 and the server 605 . Network 604 may include various connection types, such as wired, wireless communication links, or fiber optic cables, among others.

The user can use the terminal devices 601, 602, 603 to interact with the server 605 through the network 604 to receive or send messages and the like. Various communication client applications may be installed on the terminal devices 601 , 602 and 603 , such as shopping applications, web browser applications, search applications, instant messaging tools, email clients, social platform software, etc. (just examples).

The terminal devices 601, 602, 603 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, laptop computers, desktop computers, and the like.

The server 605 may be a server that provides various services, such as a background management server that supports shopping websites browsed by the terminal devices 601 , 602 , and 603 (just an example). The background management server can analyze and process the received product information query request and other data, and feed back the processing results (such as target push information, product information—just an example) to the terminal device.

It should be noted that the data management method provided by the embodiment of the present invention is generally executed by the server 605 , and accordingly, the data management apparatus is generally set in the server 605 .

It should be understood that the numbers of terminal devices, networks and servers in FIG. 6 are merely illustrative. There can be any number of terminal devices, networks and servers according to implementation needs.

Referring next to FIG. 7 , it shows a schematic structural diagram of a computer system 700 suitable for implementing a terminal device according to an embodiment of the present invention. The terminal device shown in FIG. 7 is only an example, and should not impose any limitations on the functions and scope of use of the embodiments of the present invention.

As shown in FIG. 7, a computer system 700 includes a central processing unit (CPU) 701 which can be loaded into a random access memory (RAM) 703 according to a program stored in a read only memory (ROM) 702 or a program from a storage section 708 Instead, various appropriate actions and processes are performed. In the RAM 703, various programs and data necessary for the operation of the system 700 are also stored. The CPU 701 , the ROM 702 , and the RAM 703 are connected to each other through a bus 704 . An input/output (I/O) interface 705 is also connected to bus 704 .

The following components are connected to the I/O interface 705: an input section 706 including a keyboard, a mouse, etc.; an output section 707 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage section 708 including a hard disk, etc. ; and a communication section 709 including a network interface card such as a LAN card, a modem, and the like. The communication section 709 performs communication processing via a network such as the Internet. A drive 710 is also connected to the I/O interface 705 as needed. A removable medium 711, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is mounted on the drive 710 as needed so that a computer program read therefrom is installed into the storage section 708 as needed.

In particular, the processes described above with reference to the flowcharts may be implemented as computer software programs in accordance with the disclosed embodiments of the present invention. For example, embodiments disclosed herein include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the method illustrated in the flowchart. In such an embodiment, the computer program may be downloaded and installed from the network via the communication portion 709 and/or installed from the removable medium 711 . When the computer program is executed by the central processing unit (CPU) 701, the above-described functions defined in the system of the present invention are executed.

It should be noted that the computer-readable medium shown in the present invention may be a computer-readable signal medium or a computer-readable storage medium, or any combination of the above two. The computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus or device, or a combination of any of the above. More specific examples of computer readable storage media may include, but are not limited to, electrical connections with one or more wires, portable computer disks, hard disks, random access memory (RAM), read only memory (ROM), erasable Programmable read only memory (EPROM or flash memory), fiber optics, portable compact disk read only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing. In the present invention, a computer-readable storage medium may be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. In the present invention, however, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, carrying computer-readable program code therein. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the foregoing. A computer-readable signal medium can also be any computer-readable medium other than a computer-readable storage medium that can transmit, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device . Program code embodied on a computer readable medium may be transmitted using any suitable medium including, but not limited to, wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

The flowchart and block diagrams in the Figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code that contains one or more logical functions for implementing the specified functions executable instructions. It should also be noted that, in some alternative implementations, the functions noted in the blocks may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It is also noted that each block of the block diagrams or flowchart illustrations, and combinations of blocks in the block diagrams or flowchart illustrations, can be implemented in special purpose hardware-based systems that perform the specified functions or operations, or can be implemented using A combination of dedicated hardware and computer instructions is implemented.

The modules involved in the embodiments of the present invention may be implemented in a software manner, and may also be implemented in a hardware manner. The described module can also be set in the processor, for example, it can be described as: a processor includes: a parsing module, which performs full field analysis on the target data table in the database, and determines the header field of the target data table; The header field performs full data query in the target data table to obtain full data; the creation module creates an entity object in the memory according to the header field; the storage module stores the full data in the entity object to realize Fetch data from the database into memory. Among them, the names of these modules do not constitute a limitation of the module itself under certain circumstances. For example, the parsing module can also be described as "a module that creates an entity object in memory according to the header field".

As another aspect, the present invention also provides a computer-readable medium, which may be included in the device described in the above embodiments; or may exist alone without being assembled into the device. The above-mentioned computer-readable medium carries one or more programs, and when the above-mentioned one or more programs are executed by a device, the device includes: performing full field analysis on the target data table in the database, and determining the table of the target data table. Header field; create an entity object in memory according to the header field, and perform full data query in the target data table to obtain full data; store the full data in the entity object to extract data from the database into memory.

According to the technical solution of the embodiment of the present invention, an entity object is created in the memory according to the header field of the target data table in the database, and then the full data of the target data table is stored in the entity object, so that the data in the database can be extracted into the memory. , which improves memory utilization. Since the full amount of data in the target data table is stored in the memory, there is no need to query the data from the database, so the query efficiency can be greatly improved. Intercept the database query request for querying the target data table in the database, and convert the database query request into a memory query request corresponding to the memory according to the parsed query conditions, so that the data in the memory is transparent, and no additional processing of the database query request is required. The data in the memory can be obtained, and only one query is required, which is close to the application closed loop, so the query efficiency can be further improved.

The above-mentioned specific embodiments do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may occur depending on design requirements and other factors. Any modifications, equivalent replacements and improvements made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims (10)

1. a data management method, is characterized in that, comprises: Perform full field analysis on the target data table in the database to determine the header field of the target data table; Create an entity object in memory according to the header field, and perform full data query in the target data table to obtain full data; The full amount of data is stored in the entity object, so as to extract the data in the database into the memory. 2. The method according to claim 1, wherein, user configuration information is obtained when an application is initialized, and the target data table is determined according to the user configuration information; wherein, the user configuration information comprises: a database domain name or a IP address, database name, table name. 3. The method of claim 1, further comprising: querying the data in the memory according to the following steps: Intercept database query requests for querying target data tables in the database; Parse the query condition from the database query request, and convert the database query request into a memory query request corresponding to the memory according to the query condition; The data query is performed in the memory according to the memory query request. 4. The method of claim 3, further comprising: presetting key fields of each of the target data tables; when the query request contains the key fields, determining that the query request is A database query request for the target table. 5. A data management device, characterized in that, comprising: The parsing module performs full field analysis on the target data table in the database, and determines the header field of the target data table; performs full data query in the target data table according to the header field to obtain full data; Create a module to create an entity object in memory according to the header field; The storage module stores the full amount of data in the entity object, so as to extract the data in the database into the memory. 6. The apparatus according to claim 5, wherein the parsing module is further configured to: acquire user configuration information when an application is initialized, and determine the target data table according to the user configuration information; wherein, the user configuration The information includes: database domain name or IP address, database name, table name. 7. The apparatus of claim 5, further comprising: The interception module intercepts the database query request for querying the target data table in the database; A conversion module, which parses query conditions from the database query request, and converts the database query request into a memory query request corresponding to the memory according to the query conditions; The query module performs data query in the memory according to the memory query request. 8. The apparatus according to claim 7, wherein the interception module is further configured to: preset key fields of each of the target data tables; when the query request contains the key fields, determine the The query request is a database query request for the target table. 9. A data management electronic device, characterized in that, comprising: one or more processors; storage means for storing one or more programs, The one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-4. 10. A computer-readable medium on which a computer program is stored, characterized in that, when the program is executed by a processor, the method according to any one of claims 1-4 is implemented.

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