CN110674162A - Database statement execution method and related device - Google Patents
Database statement execution method and related device Download PDFInfo
- Publication number
- CN110674162A CN110674162A CN201910899839.6A CN201910899839A CN110674162A CN 110674162 A CN110674162 A CN 110674162A CN 201910899839 A CN201910899839 A CN 201910899839A CN 110674162 A CN110674162 A CN 110674162A
- Authority
- CN
- China
- Prior art keywords
- statement
- database
- native
- sql
- self
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/242—Query formulation
- G06F16/2433—Query languages
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2455—Query execution
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Computational Linguistics (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Mathematical Physics (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
- Stored Programmes (AREA)
Abstract
The application discloses a database statement execution method, which comprises the following steps: acquiring a self-defined SQL (structured query language) statement to be executed; executing statement conversion operation on the self-defined SQL statement according to the type of the target database to obtain a native SQL statement; and sending the native SQL statement to the target database so that the target database executes the native SQL statement. The native SQL sentences are obtained by carrying out conversion operation on the self-defined SQL sentences, so that different databases are operated, and the cost of being compatible with different databases is reduced due to the adoption of the self-defined SQL sentences. The application also discloses a database statement execution device, a server and a computer readable storage medium, which have the beneficial effects.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to a database statement execution method, a database statement execution apparatus, a server, and a computer-readable storage medium.
Background
With the continuous development of information technology, database products with different standards of different manufacturers exist in the market of data storage software. Therefore, when different products are used for the application database, adaptation to the different database products is required. For example, the functions of the same operation are not the same across different database products. Therefore, when the database product corresponds to a different database product, the function to be operated needs to be replaced by the corresponding function. In a normal application environment, different databases need to be switched, and a set of corresponding programs is developed corresponding to different products, which consumes a large amount of manpower products, prolongs the development period of the programs, and is not beneficial to the rapid development of the programs.
Therefore, Mybatis is commonly used in the prior art to implement interaction with the data warehouse through SQL statements configured in xml (Extensible Markup Language). However, the method is developed by java, a certain java basis is needed when the product is used, and meanwhile, for the same functional target, independent SQL sentences still need to be written for different data warehouses in the product, so that the cost and the threshold of using the tool are increased, and the development efficiency and speed are reduced.
Therefore, how to reduce the cost of implementing a database compatible with multiple SQL databases is a major concern for those skilled in the art.
Disclosure of Invention
The application aims to provide a database statement execution method, a database statement execution device, a server and a computer readable storage medium, native SQL statements are obtained by carrying out conversion operation on self-defined SQL statements, operation on different databases is achieved, and due to the fact that the self-defined SQL statements are adopted, cost of compatibility with different databases is reduced.
In order to solve the above technical problem, the present application provides a database statement execution method, including:
acquiring a self-defined SQL (structured query language) statement to be executed;
executing statement conversion operation on the self-defined SQL statement according to the type of the target database to obtain a native SQL statement;
and sending the native SQL statement to the target database so that the target database executes the native SQL statement.
Optionally, the method further includes:
and when the execution of the native SQL statement is completed, releasing the connection resources of the target database.
Optionally, the obtaining of the self-defined SQL statement to be executed includes:
initializing a connection pool according to database login information in system configuration;
and acquiring the self-defined SQL statement to be executed from the initialized connection pool.
Optionally, executing a statement conversion operation on the self-defined SQL statement according to the type of the target database to obtain a native SQL statement, where the operation includes:
analyzing the self-defined SQL statement according to a preset format to obtain a function identifier and a function parameter;
replacing the function identifier and the function parameter with a native function name with the same function according to the type of the target database;
and replacing the native function name into the self-defined SQL statement to obtain the native SQL statement.
The present application further provides a database statement executing apparatus, including:
the custom statement acquisition module is used for acquiring a custom SQL statement to be executed;
the statement conversion module is used for executing statement conversion operation on the self-defined SQL statement according to the type of the target database to obtain a native SQL statement;
and the native statement execution module is used for sending the native SQL statement to the target database so that the target database can execute the native SQL statement.
Optionally, the method further includes:
and the resource release module is used for releasing the connection resources of the target database when the execution of the native SQL statement is completed.
Optionally, the custom statement obtaining module includes:
the connection pool initialization unit is used for initializing a connection pool according to the database login information in the system configuration;
and the statement acquisition unit is used for acquiring the to-be-executed self-defined SQL statement from the initialized connection pool.
Optionally, the statement conversion module includes:
the statement analysis unit is used for analyzing the self-defined SQL statement according to a preset format to obtain a function identifier and a function parameter;
the function replacing unit is used for replacing the function identifier and the function parameter with a native function name with the same function according to the type of the target database;
and the native statement acquisition unit is used for replacing the native function name into the self-defined SQL statement to obtain the native SQL statement.
The present application further provides a server, comprising:
a memory for storing a computer program;
a processor for implementing the steps of the database statement execution method as described above when executing the computer program.
The present application also provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the database statement execution method as described above.
The application provides a database statement execution method, which comprises the following steps: acquiring a self-defined SQL (structured query language) statement to be executed; executing statement conversion operation on the self-defined SQL statement according to the type of the target database to obtain a native SQL statement; and sending the native SQL statement to the target database so that the target database executes the native SQL statement.
The method comprises the steps of firstly obtaining a self-defined SQL statement, then carrying out statement conversion operation on the obtained self-defined SQL statement according to the type of a target database needing to be operated so as to convert the self-defined SQL statement into a native SQL statement, and then executing the target database by using the native SQL statement, so that the database statement is executed. Because the compatibility of various databases is realized by adopting the self-defining type, the difficulty and the cost of the realization are reduced, and the development efficiency is improved.
The present application further provides a database statement execution device, a server, and a computer-readable storage medium, which have the above beneficial effects, and are not described herein again.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a flowchart of a database statement execution method according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of a database statement execution device according to an embodiment of the present application.
Detailed Description
The core of the application is to provide a database statement execution method, a database statement execution device, a server and a computer readable storage medium, the native SQL statement is obtained by converting the self-defined SQL statement, and the operation on different databases is realized.
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
In the prior art, Mybatis is commonly used, and the interaction with the data warehouse is realized through SQL statements configured in xml (Extensible Markup Language). However, the method is developed by java, a certain java basis is needed when the product is used, and meanwhile, for the same functional target, independent SQL sentences still need to be written for different data warehouses in the product, so that the cost and the threshold of using the tool are increased, and the development efficiency and speed are reduced.
Therefore, the method for executing the database statements provided by the application comprises the steps of firstly obtaining the self-defined SQL statements, then carrying out statement conversion operation on the obtained self-defined SQL statements according to the type of the target database needing to be operated so as to convert the self-defined SQL statements into the native SQL statements, and then executing the target database by using the native SQL statements, thereby executing the database statements. Because the compatibility of various databases is realized by adopting the self-defining type, the difficulty and the cost of the realization are reduced, and the development efficiency is improved.
Referring to fig. 1, fig. 1 is a flowchart illustrating a database statement execution method according to an embodiment of the present disclosure.
In this embodiment, the method may include:
s101, acquiring a self-defined SQL statement to be executed;
the method aims to acquire the custom SQL sentences which need to be executed currently. In the prior art, the SQL language of the database is generally designed by other languages. The use of different languages increases the cost of data manipulation and reduces the efficiency of compatibility with different databases.
Therefore, the self-defined SQL-like statement is adopted in the embodiment, and the self-defined SQL-like statement refers to the SQL92 standard syntax and is equivalent to a subset of SQL 92. And expressing the SQL in an execution statement through a preset format so as to identify the syntax of the self-defined SQL class in the subsequent step.
Optionally, the process of acquiring the self-defined SQL statement in this step may include:
initializing a connection pool according to database login information in system configuration;
and acquiring the self-defined SQL-like statement to be executed from the initialized connection pool.
S102, executing statement conversion operation on the self-defined SQL statement according to the type of the target database to obtain a native SQL statement;
on the basis of S101, this step aims to perform a statement conversion operation on the custom SQL-like statement to obtain a native SQL statement. The conversion operation is mainly performed according to the type of the target database. The target database refers to a database which needs to be operated by the statement. Specifically, because of the type of the obtained target database, the corresponding conversion operation may be performed on the self-defined SQL-like statement according to the syntax of the database of the type.
Therefore, the performing a statement conversion operation on the self-defined SQL statement in this step may include:
analyzing the self-defined SQL statement according to a preset format to obtain a function identifier and a function parameter;
replacing the function identifier and the function parameter with the native function name with the same function according to the type of the target database;
and replacing the native function name into the self-defined SQL statement to obtain the native SQL statement.
As can be seen, in this alternative, the function identifier and the function parameter included in the preset format are firstly analyzed from the self-defined SQL statement according to the preset format, then the function identifier is converted into a function with the same function in the target database according to the type of the target database, and then the function parameter is converted into a parameter with a corresponding format and is filled into the converted function identifier, so as to obtain the native function name. And finally, replacing the native function name into the self-defined SQL statement to obtain a native SQL statement.
S103, sending the native SQL statement to a target database so that the target database can execute the native SQL statement.
On the basis of the S102, the step aims to send the converted SQL statement to the target database, so that the target database executes the native SQL statement, thus implementing the operation on different target databases by using the self-defined SQL statement, and reducing the cost of being compatible with different target databases.
In addition, the present application may further include:
and when the execution of the native SQL statement is completed, releasing the connection resources of the target database.
In summary, in the embodiment, the database statement is executed by first acquiring the self-defined SQL statement, then performing statement conversion operation on the acquired self-defined SQL statement according to the type of the target database that needs to be operated, so as to convert the self-defined SQL statement into the native SQL statement, and then executing the target database by using the native SQL statement. Because the compatibility of various databases is realized by adopting the self-defining type, the difficulty and the cost of the realization are reduced, and the development efficiency is improved.
The following further describes a database statement execution method provided by the present application, by way of another specific embodiment.
In this embodiment, the method may include:
step 1, loading database login information from system configuration to initialize a connection pool. The database login information comprises a database type, a login user, a login password, a login address and the like;
step 2, the system reads the self-defined SQL statements written by the data developer;
step 3, the system analyzes the read SQL-like statements according to the type of the database connected with the current database, and converts the SQL-like statements to generate a native SQL language in the target database;
step 3.1, the system firstly identifies double braces in the SQL-like data;
step 3.2, then extracting the function name in the double-flower brackets and the parameters in the function;
step 3.3, converting the extracted function and the parameters thereof into the native function name with the same function in the target data warehouse;
step 3.4, replacing the converted function information in the target data warehouse into the current SQL-like statement to generate the native SQL and the function call of the target database;
step 4, submitting the native SQL which accords with the semantics of the target data warehouse into a data warehouse for execution;
and 5, releasing the database connection after the execution is finished.
The custom SQL-like syntax refers to SQL92 standard syntax, is equivalent to a subset of SQL92, and does not have the characteristics of things, primary key constraints, indexes and the like. In this embodiment, another most important feature of the custom SQL-like is that in written SQL, each custom function is enclosed by double-flower brackets, for example, the acquisition system time function is defined as sysdate, and at the same time, the custom SQL-like function is enclosed by double-flower brackets at both ends and written in an SQL statement, i.e., { { sysdate } }. The double-curly brackets are preset formats in the self-defined SQL-like statement. Meanwhile, the system supports the nesting of double braces, for example, after two days (48 hours) of the current system time is acquired, SQL: select { { add _ days ({ { sysdate } },2) } } from dual, here, two custom functions sysdate and add _ dyas are used, respectively representing that the current time is obtained and that the time is added or subtracted by days, and the platform automatically converts it into selected (getdate ()), cast (2as destination) 24 × 3600as binary) 'ss') from dual when interfacing to ODPS while processing the SQL statement; when docked to ORACLE, automatically convert it to select sysdate +2from dual;
as can be seen, in the embodiment, the database statement is executed by first acquiring the self-defined SQL statement, then performing statement conversion operation on the acquired self-defined SQL statement according to the type of the target database that needs to be operated, so as to convert the self-defined SQL statement into the native SQL statement, and then executing the target database by using the native SQL statement. Because the compatibility of various databases is realized by adopting the self-defining type, the difficulty and the cost of the realization are reduced, and the development efficiency is improved.
In the following, a database statement execution device provided in an embodiment of the present application is introduced, and a database statement execution device described below and a database statement execution method described above may be referred to in correspondence with each other.
Referring to fig. 2, fig. 2 is a schematic structural diagram of a database statement execution device according to an embodiment of the present application.
In this embodiment, the apparatus may include:
the custom statement acquisition module 100 is configured to acquire a custom SQL statement to be executed;
the statement conversion module 200 is configured to perform statement conversion operation on the custom SQL statement according to the type of the target database to obtain a native SQL statement;
the native statement execution module 300 is configured to send the native SQL statement to the target database, so that the target database executes the native SQL statement.
Optionally, the apparatus may further include:
and the resource release module is used for releasing the connection resources of the target database when the execution of the native SQL statement is completed.
Optionally, the custom statement obtaining module 100 may include:
the connection pool initialization unit is used for initializing a connection pool according to the database login information in the system configuration;
and the statement acquisition unit is used for acquiring the self-defined SQL statement to be executed from the initialized connection pool.
Optionally, the statement conversion module 200 may include:
the statement analysis unit is used for analyzing the self-defined SQL statement according to a preset format to obtain a function identifier and a function parameter;
the function replacing unit is used for replacing the function identifier and the function parameter with the native function name with the same function according to the type of the target database;
and the native statement acquisition unit is used for replacing the native function name into the self-defined SQL statement to obtain the native SQL statement.
An embodiment of the present application further provides a server, including:
a memory for storing a computer program;
a processor for implementing the steps of the database statement execution method according to the above embodiments when executing the computer program.
The present application also provides a computer readable storage medium, on which a computer program is stored, and when executed by a processor, the computer program implements the steps of the database statement execution method according to the above embodiment.
The computer-readable storage medium may include: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The embodiments are described in a progressive manner in the specification, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The above detailed description is provided for a database statement execution method, a database statement execution device, a server, and a computer-readable storage medium. The principles and embodiments of the present application are explained herein using specific examples, which are provided only to help understand the method and the core idea of the present application. It should be noted that, for those skilled in the art, it is possible to make several improvements and modifications to the present application without departing from the principle of the present application, and such improvements and modifications also fall within the scope of the claims of the present application.
Claims (10)
1. A database statement execution method, comprising:
acquiring a self-defined SQL (structured query language) statement to be executed;
executing statement conversion operation on the self-defined SQL statement according to the type of the target database to obtain a native SQL statement;
and sending the native SQL statement to the target database so that the target database executes the native SQL statement.
2. The database statement execution method according to claim 1, further comprising:
and when the execution of the native SQL statement is completed, releasing the connection resources of the target database.
3. The database statement execution method according to claim 1, wherein acquiring the custom SQL-like statement to be executed includes:
initializing a connection pool according to database login information in system configuration;
and acquiring the self-defined SQL statement to be executed from the initialized connection pool.
4. The database statement execution method according to claim 1, wherein performing a statement translation operation on the custom SQL-like statement according to a type of a target database to obtain a native SQL statement comprises:
analyzing the self-defined SQL statement according to a preset format to obtain a function identifier and a function parameter;
replacing the function identifier and the function parameter with a native function name with the same function according to the type of the target database;
and replacing the native function name into the self-defined SQL statement to obtain the native SQL statement.
5. A database statement execution apparatus, comprising:
the custom statement acquisition module is used for acquiring a custom SQL statement to be executed;
the statement conversion module is used for executing statement conversion operation on the self-defined SQL statement according to the type of the target database to obtain a native SQL statement;
and the native statement execution module is used for sending the native SQL statement to the target database so that the target database can execute the native SQL statement.
6. The database statement execution apparatus according to claim 5, further comprising:
and the resource release module is used for releasing the connection resources of the target database when the execution of the native SQL statement is completed.
7. The database statement execution apparatus according to claim 5, wherein the custom statement acquisition module includes:
the connection pool initialization unit is used for initializing a connection pool according to the database login information in the system configuration;
and the statement acquisition unit is used for acquiring the to-be-executed self-defined SQL statement from the initialized connection pool.
8. The database sentence execution apparatus of claim 5, wherein the sentence conversion module comprises:
the statement analysis unit is used for analyzing the self-defined SQL statement according to a preset format to obtain a function identifier and a function parameter;
the function replacing unit is used for replacing the function identifier and the function parameter with a native function name with the same function according to the type of the target database;
and the native statement acquisition unit is used for replacing the native function name into the self-defined SQL statement to obtain the native SQL statement.
9. A server, comprising:
a memory for storing a computer program;
a processor for implementing the steps of the database statement execution method according to any one of claims 1 to 4 when executing said computer program.
10. A computer-readable storage medium, having stored thereon a computer program which, when being executed by a processor, carries out the steps of the database statement execution method according to any one of claims 1 to 4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910899839.6A CN110674162A (en) | 2019-09-23 | 2019-09-23 | Database statement execution method and related device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910899839.6A CN110674162A (en) | 2019-09-23 | 2019-09-23 | Database statement execution method and related device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110674162A true CN110674162A (en) | 2020-01-10 |
Family
ID=69077308
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910899839.6A Pending CN110674162A (en) | 2019-09-23 | 2019-09-23 | Database statement execution method and related device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110674162A (en) |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111367893A (en) * | 2020-03-31 | 2020-07-03 | 中国建设银行股份有限公司 | Method and device for database version iteration |
| CN112069239A (en) * | 2020-08-27 | 2020-12-11 | 苏州浪潮智能科技有限公司 | Method, system, device and storage medium for using database based on HTTP request |
| CN112486880A (en) * | 2020-12-17 | 2021-03-12 | 北京北信源软件股份有限公司 | USB storage device based on database access interface |
| CN112866348A (en) * | 2020-12-31 | 2021-05-28 | 金蝶软件（中国）有限公司 | Database access method and device, computer equipment and storage medium |
| CN113177094A (en) * | 2021-04-23 | 2021-07-27 | 远光软件股份有限公司 | Data processing method and device for time sequence database, server and storage medium |
| CN113792027A (en) * | 2021-08-23 | 2021-12-14 | 浙江金惠科技有限公司 | Universal database conversion device |
| CN113821526A (en) * | 2020-12-23 | 2021-12-21 | 京东科技信息技术有限公司 | Method, device and equipment for querying data and storage medium |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6212513B1 (en) * | 1997-06-27 | 2001-04-03 | International Business Machines Corporation | Database access system |
| CN101158975A (en) * | 2007-11-21 | 2008-04-09 | 金蝶软件（中国）有限公司 | Method and system for accessing distinct type data-base |
| CN101788992A (en) * | 2009-05-06 | 2010-07-28 | 厦门东南融通系统工程有限公司 | Method and system for converting query sentence of database |
| CN104615713A (en) * | 2015-02-05 | 2015-05-13 | 浪潮通用软件有限公司 | SQL executing method and device based on multiple database types |
| CN105260403A (en) * | 2015-09-22 | 2016-01-20 | 广东同望科技股份有限公司 | Universal cross-database access method |
| CN106294468A (en) * | 2015-06-02 | 2017-01-04 | 阿里巴巴集团控股有限公司 | The method and apparatus processing business datum |
| CN108710662A (en) * | 2018-05-14 | 2018-10-26 | 上海跬智信息技术有限公司 | Language transfer method and device, storage medium, data query system and method |
-
2019
- 2019-09-23 CN CN201910899839.6A patent/CN110674162A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6212513B1 (en) * | 1997-06-27 | 2001-04-03 | International Business Machines Corporation | Database access system |
| CN101158975A (en) * | 2007-11-21 | 2008-04-09 | 金蝶软件（中国）有限公司 | Method and system for accessing distinct type data-base |
| CN101788992A (en) * | 2009-05-06 | 2010-07-28 | 厦门东南融通系统工程有限公司 | Method and system for converting query sentence of database |
| CN104615713A (en) * | 2015-02-05 | 2015-05-13 | 浪潮通用软件有限公司 | SQL executing method and device based on multiple database types |
| CN106294468A (en) * | 2015-06-02 | 2017-01-04 | 阿里巴巴集团控股有限公司 | The method and apparatus processing business datum |
| CN105260403A (en) * | 2015-09-22 | 2016-01-20 | 广东同望科技股份有限公司 | Universal cross-database access method |
| CN108710662A (en) * | 2018-05-14 | 2018-10-26 | 上海跬智信息技术有限公司 | Language transfer method and device, storage medium, data query system and method |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111367893A (en) * | 2020-03-31 | 2020-07-03 | 中国建设银行股份有限公司 | Method and device for database version iteration |
| CN112069239A (en) * | 2020-08-27 | 2020-12-11 | 苏州浪潮智能科技有限公司 | Method, system, device and storage medium for using database based on HTTP request |
| CN112069239B (en) * | 2020-08-27 | 2022-06-03 | 苏州浪潮智能科技有限公司 | Method, system, device and storage medium for using database based on HTTP request |
| CN112486880A (en) * | 2020-12-17 | 2021-03-12 | 北京北信源软件股份有限公司 | USB storage device based on database access interface |
| CN112486880B (en) * | 2020-12-17 | 2024-02-20 | 北京北信源软件股份有限公司 | USB storage device based on database access interface |
| CN113821526A (en) * | 2020-12-23 | 2021-12-21 | 京东科技信息技术有限公司 | Method, device and equipment for querying data and storage medium |
| CN112866348A (en) * | 2020-12-31 | 2021-05-28 | 金蝶软件（中国）有限公司 | Database access method and device, computer equipment and storage medium |
| CN113177094A (en) * | 2021-04-23 | 2021-07-27 | 远光软件股份有限公司 | Data processing method and device for time sequence database, server and storage medium |
| CN113792027A (en) * | 2021-08-23 | 2021-12-14 | 浙江金惠科技有限公司 | Universal database conversion device |
| CN113792027B (en) * | 2021-08-23 | 2023-06-16 | 浙江金惠科技有限公司 | General database conversion device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110674162A (en) | Database statement execution method and related device | |
| CN110968325B (en) | Applet conversion method and device | |
| WO2022002030A1 (en) | Data processing method, apparatus, and device, and computer readable storage medium | |
| US9244709B2 (en) | Automatic recognition of web application | |
| RU2351976C2 (en) | Mechanism for provision of output of data-controlled command line | |
| CN111459889B (en) | Equipment data model generation method and device for Internet of things platform | |
| CN111160045B (en) | Game resource file translation method, device and equipment | |
| US20020162093A1 (en) | Internationalization compiler and process for localizing server applications | |
| US20110179073A1 (en) | Method for Localizing Text in a Software Application | |
| KR20170112171A (en) | Framework supporting apparatus for developing client application under multi-platform environment, and method using the same | |
| US10693962B1 (en) | Language and mechanism for modeling and exporting storage platform topologies, attributes, and behaviors | |
| CN113076167A (en) | Code processing method and related equipment | |
| WO2021259290A1 (en) | Stored procedure conversion method and apparatus, and device and storage medium | |
| CN111309751A (en) | Big data processing method and device | |
| CN106776779B (en) | Method for generating entity file by JSON data based on Mac platform | |
| Rinner et al. | Creating ISO/EN 13606 archetypes based on clinical information needs | |
| CN112883088B (en) | Data processing method, device, equipment and storage medium | |
| US20050177818A1 (en) | Integration of external tools into an existing design environment | |
| CN111240681A (en) | Method and device for converting different programming languages | |
| CN114116683B (en) | Multi-language processing method and device for computing platform and readable storage medium | |
| US20220138437A1 (en) | Methods and systems for integrating machine translations into software development workflows | |
| CN113343036A (en) | Data blood relationship analysis method and system based on key topological structure analysis | |
| CN111913695A (en) | Code conversion method, device and storage medium | |
| US20200042297A1 (en) | Property filtering | |
| CN113485684B (en) | ORM (object relational management) implementation method and related equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200110 |
|
| RJ01 | Rejection of invention patent application after publication |