CN111259047A - Data loading method, device, equipment and storage medium thereof - Google Patents
Data loading method, device, equipment and storage medium thereof Download PDFInfo
- Publication number
- CN111259047A CN111259047A CN201811476628.3A CN201811476628A CN111259047A CN 111259047 A CN111259047 A CN 111259047A CN 201811476628 A CN201811476628 A CN 201811476628A CN 111259047 A CN111259047 A CN 111259047A
- Authority
- CN
- China
- Prior art keywords
- data
- data source
- source
- interface
- database
- 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.)
- Granted
Links
- 238000011068 loading method Methods 0.000 title claims abstract description 24
- 238000000034 method Methods 0.000 claims abstract description 22
- 238000004590 computer program Methods 0.000 claims description 12
- 238000013507 mapping Methods 0.000 claims description 6
- 230000006870 function Effects 0.000 description 14
- 238000010586 diagram Methods 0.000 description 8
- 238000004891 communication Methods 0.000 description 4
- 230000003287 optical effect Effects 0.000 description 4
- 238000011161 development Methods 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 238000012545 processing Methods 0.000 description 3
- 230000009471 action Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000000644 propagated effect Effects 0.000 description 2
- 239000004065 semiconductor Substances 0.000 description 2
- 230000008859 change Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 239000000835 fiber Substances 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
Images
Landscapes
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The application discloses a data loading method, a data loading device, data loading equipment and a storage medium of the data loading device. The method comprises the following steps: creating a data source object, wherein the data source object inherits a predefined data source base class, and the data source base class defines a data acquisition interface, a data return interface and a data acquisition mode; and when the data is loaded, calling at least one data source according to the data obtaining mode to obtain the data. According to the technical scheme of the embodiment of the application, the unification of a plurality of different data sources is realized by creating the data source object, so that the different data sources do not need to be developed independently, and the program development efficiency is improved.
Description
Technical Field
The present application relates generally to the field of computer technologies, and in particular, to a data loading method, apparatus, device, and storage medium.
Background
With the increasing demand for service access and the increasing integration and personalization of services, data from multiple data sources may be needed to provide certain services, such as the process of loading pages at client startup.
The data loading may be, for example, a data source master control mode or an independent loader master control mode. In the loading method adopting data source master control, due to the difference of data sources, loading needs to be repeatedly developed for different data sources, so that development efficiency is not high.
Therefore, a new data loading method is desired to solve the above problem.
Disclosure of Invention
In view of the foregoing defects or shortcomings in the prior art, it is desirable to provide a data loading method, device, apparatus and storage medium, which implement data recording by unifying data sources, thereby improving development efficiency.
In a first aspect, an embodiment of the present application provides a data loading method, where the method includes:
creating a data source object, wherein the data source object inherits a predefined data source base class, and the data source base class defines a data acquisition interface, a data return interface and a data acquisition mode;
and when the data is loaded, calling at least one data source according to the data obtaining mode to obtain the data.
In a second aspect, an embodiment of the present application provides a data loading apparatus, including:
the data source object inherits a predefined data source base class, and an acquisition data interface, a return data interface and a data acquisition mode are defined in the data source base class;
and the data acquisition unit is used for calling at least one data source according to the data acquisition mode to acquire the data when the data is loaded.
In a third aspect, embodiments of the present application provide a computer device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the method as described in embodiments of the present application when executing the program.
In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored, the computer program being configured to:
which when executed by a processor implements a method as described in embodiments of the present application.
According to the data source object creating method and device, the data source object is created to achieve unification of a plurality of different data sources, the data source object inherits the predefined data source base class, and the data obtaining interface, the data returning interface and the data obtaining mode are defined in the data source base class, so that independent development of different data sources is not needed, and program development efficiency is improved.
Drawings
Other features, objects and advantages of the present application will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, made with reference to the accompanying drawings in which:
fig. 1 shows a schematic flowchart of a data loading method provided in an embodiment of the present application;
fig. 2 is a schematic structural diagram illustrating a data loading apparatus according to an embodiment of the present application;
FIG. 3 illustrates a schematic diagram of a computer system suitable for use in implementing a server according to embodiments of the present application.
Detailed Description
The present application will be described in further detail with reference to the following drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the relevant invention and not restrictive of the invention. It should be noted that, for convenience of description, only the portions related to the present invention are shown in the drawings.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
Referring to fig. 1, fig. 1 is a schematic flowchart illustrating a data loading method according to an embodiment of the present application.
As shown in fig. 1, the method includes:
In the embodiment of the application, corresponding data, such as page data, needs to be loaded when the application program is started. The page data may be obtained from different data sources.
Data sources refer to the paths connected to the storage regions. For example, a path to a database. The data source may be, for example, a file data source, a database data source, a network data source, and the like.
In the predefined data source base, an acquisition data interface, a return data interface and an acquisition data mode can be defined. For example, a base class XYBaseDataSource may be defined, in which a function of acquiring a data interface, a function of returning a data interface, a data acquisition mode, and the like are defined. The get data interface may be, for example, a getDataStart () function defined in the base class for getting data through the corresponding data source.
The return data interface may be, for example, a callback that distinguishes between different data sources by defining a filter parameter in the base class. For example, the function that returns the data interface may be a _ dataSource: didGetData: XYBaseDataSource.
And the data acquisition mode specifies the sequence of the data source interface acquisition so as to realize the ordered access to different data sources.
In the embodiment of the present application, creating the data source object may be, for example, generating an xybase data source object, where the data source object may be implemented by inheriting a predefined data source base class. For example, the related properties of the xybase data source base class are privately inherited to become a subclass of the base class, and then a data source object is created through a constructor. The complexity of the code can be effectively reduced through inheritance, and the efficiency of the code is improved. In the embodiment of the present application, the data obtaining manner specifies the order of obtaining the data sources. For example, it is specified that the data is obtained from the file data source, and if the corresponding data is obtained, the obtained result is returned through the return data interface. If the corresponding data is not obtained, obtaining the corresponding data from the database data source, and if the corresponding data is obtained, returning the corresponding data through the data returning interface. And if the corresponding data is not acquired, acquiring from a network data source.
And step 120, when the data is loaded, calling at least one data source according to the data obtaining mode to obtain the data.
When loading data, the data source object automatically calls at least one data source to acquire the data according to the data acquisition mode. And after the data are acquired, returning the data to the data requester through the data return interface, and displaying the data after the data requester analyzes the data.
In the embodiment of the application, at least one data source is called according to the data obtaining mode to obtain data, and the data can be read through the access mode predefined by the data source. The predefined access mode, such as a file data source, is defined to be read from a cache built in the file data source by a cache key.
A database data source defining data to be read from a database based on an Object Relational Mapping (ORM) (object Relational mapping) by having a data access object (Dao object) within the database data source.
And the network data source defines the reading of data through the http object of the network data source.
According to the embodiment of the application, before the data is loaded, the data source object can be initialized through the file data source, the database data source and the network data source. Namely, the access interface of each data source is assigned to the data source object to complete the initialization of the data source object.
According to the embodiment of the application, unified access to different data sources is realized by defining the data source objects, program development aiming at the data sources independently is avoided, and the efficiency of the program development is improved.
It should be noted that while the operations of the method of the present invention are depicted in the drawings in a particular order, this does not require or imply that the operations must be performed in this particular order, or that all of the illustrated operations must be performed, to achieve desirable results. Rather, the steps depicted in the flowcharts may change the order of execution. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step execution, and/or one step broken down into multiple step executions.
Referring to fig. 2 further, fig. 2 is a schematic structural diagram of a data loading apparatus according to an embodiment of the present disclosure.
As shown in fig. 2, the apparatus 200 includes:
an object creating unit 210, configured to create a data source object, where the data source object inherits a predefined data source base class.
In the embodiment of the application, corresponding data, such as page data, needs to be loaded when the application program is started. The page data may be obtained from different data sources.
Data sources refer to the paths connected to the storage regions. For example, a path to a database. The data source may be, for example, a file data source, a database data source, a network data source, and the like.
In the predefined data source base, an acquisition data interface, a return data interface and an acquisition data mode can be defined. For example, a base class XYBaseDataSource may be defined, in which a function of acquiring a data interface, a function of returning a data interface, a data acquisition mode, and the like are defined.
The get data interface may be, for example, a getDataStart () function defined in the base class for getting data through the corresponding data source.
The return data interface may be, for example, a callback that distinguishes between different data sources by defining a filter parameter in the base class. For example, the function that returns the data interface may be a _ dataSource: didGetData: XYBaseDataSource.
And the data acquisition mode specifies the sequence of the data source interface acquisition so as to realize the ordered access to different data sources.
In the embodiment of the present application, creating the data source object may be, for example, generating an xybase data source object, where the data source object may be implemented by inheriting a predefined data source base class. For example, the related properties of the xybase data source base class are privately inherited to become a subclass of the base class, and then a data source object is created through a constructor. The complexity of the code can be effectively reduced through inheritance, and the efficiency of the code is improved.
In the embodiment of the present application, the data obtaining manner specifies the order of obtaining the data sources. For example, it is specified that the data is obtained from the file data source, and if the corresponding data is obtained, the obtained result is returned through the return data interface. If the corresponding data is not obtained, obtaining the corresponding data from the database data source, and if the corresponding data is obtained, returning the corresponding data through the data returning interface. And if the corresponding data is not acquired, acquiring from a network data source.
The data obtaining unit 220 is configured to, when the data is loaded, call at least one data source according to a data obtaining manner to obtain the data.
When loading data, the data source object automatically calls at least one data source to acquire the data according to the data acquisition mode. And after the data are acquired, returning the data to the data requester through the data return interface, and displaying the data after the data requester analyzes the data.
In the embodiment of the application, at least one data source is called according to the data obtaining mode to obtain data, and the data can be read through the access mode predefined by the data source. The predefined access mode, such as a file data source, is defined to be read from a cache built in the file data source by a cache key.
A database data source defining data to be read from a database based on an Object Relational Mapping (ORM) (object Relational mapping) by having a data access object (Dao object) within the database data source.
And the network data source defines the reading of data through the http object of the network data source.
According to the embodiment of the application, before the data is loaded, the data source object can be initialized through the file data source, the database data source and the network data source. Namely, the access interface of each data source is assigned to the data source object to complete the initialization of the data source object. According to the embodiment of the application, unified access to different data sources is realized by defining the data source objects, program development aiming at the data sources independently is avoided, and the efficiency of the program development is improved.
It should be understood that the units or modules recited in the apparatus 200 correspond to the various steps in the method described with reference to fig. 1. Thus, the operations and features described above for the method are equally applicable to the apparatus 200 and the units included therein, and are not described in detail here. The apparatus 200 may be implemented in a browser or other security applications of the electronic device in advance, or may be loaded into the browser or other security applications of the electronic device by downloading or the like. Corresponding elements in the apparatus 200 may cooperate with elements in the electronic device to implement aspects of embodiments of the present application.
Referring now to FIG. 3, a block diagram of a computer system 300 suitable for implementing a terminal device or server of the embodiments of the present application is shown.
As shown in fig. 3, the computer system 300 includes a Central Processing Unit (CPU)301 that can perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)302 or a program loaded from a storage section 308 into a Random Access Memory (RAM) 303. In the RAM 303, various programs and data necessary for the operation of the system 300 are also stored. The CPU 301, ROM 302, and RAM 303 are connected to each other via a bus 304. An input/output (I/O) interface 305 is also connected to bus 304.
The following components are connected to the I/O interface 305: an input portion 306 including a keyboard, a mouse, and the like; an output section 307 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage section 308 including a hard disk and the like; and a communication section 309 including a network interface card such as a LAN card, a modem, or the like. The communication section 309 performs communication processing via a network such as the internet. A drive 310 is also connected to the I/O interface 305 as needed. A removable medium 311 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 310 as necessary, so that a computer program read out therefrom is mounted into the storage section 308 as necessary.
In particular, according to an embodiment of the present disclosure, the process described above with reference to the flowchart fig. 1 may be implemented as a computer software program. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a machine-readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 309, and/or installed from the removable medium 311. The above-described functions defined in the system of the present application are executed when the computer program is executed by the Central Processing Unit (CPU) 301.
It should be noted that the computer readable medium shown in the present invention can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present invention, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present invention, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic 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, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block 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 will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units or modules described in the embodiments of the present application may be implemented by software or hardware. The described units or modules may also be provided in a processor, and may be described as: a processor includes an object creating unit and a data acquiring unit. Where the names of such units or modules do not in some cases constitute a limitation on the unit or module itself, for example, an object creation unit may also be described as a "unit for creating data source objects".
As another aspect, the present application also provides a computer-readable storage medium, which may be included in the electronic device described in the above embodiments; or may be separate and not incorporated into the electronic device. The computer-readable storage medium stores one or more programs which, when executed by one or more processors, perform the data loading methods described herein. For example, the electronic device may implement the following as shown in fig. 1: step 110, creating a data source object, wherein the data source object inherits a predefined data source base class; and step 120, when the data is loaded, calling at least one data source according to the data obtaining mode to obtain the data.
It should be noted that although in the above detailed description several modules or units of the device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit, according to embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into embodiments by a plurality of modules or units.
Moreover, although the steps of the methods of the present disclosure are depicted in the drawings in a particular order, this does not require or imply that the steps must be performed in this particular order, or that all of the depicted steps must be performed, to achieve desirable results. Additionally or alternatively, some steps may be omitted, multiple steps may be combined into one step execution, and/or one step may be broken down into multiple step executions, etc., depending on the circumstances.
The above description is only a preferred embodiment of the application and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention herein disclosed is not limited to the particular combination of features described above, but also encompasses other arrangements formed by any combination of the above features or their equivalents without departing from the spirit of the invention as defined above. For example, the above features may be replaced with (but not limited to) features having similar functions disclosed in the present application.
Claims (10)
1. A method for loading data, the method comprising:
creating a data source object, wherein the data source object inherits a predefined data source base class, and a data obtaining interface, a data returning interface and a data obtaining mode are defined in the data source base class;
and when the data is loaded, calling at least one data source according to the data obtaining mode to obtain the data.
2. The method of claim 1, wherein the data source comprises at least one of: file data source, database data source, network data source.
3. The method of claim 2, wherein the means for obtaining data comprises:
and sequentially accessing the file data source, the database data source and the network data source through the data acquisition interface to acquire the data.
4. The method of any one of claims 1-3, wherein invoking at least one data source to obtain data in the obtain data manner comprises:
if the file data source is accessed, the data acquisition interface reads the data from a built-in cache of the file through a cache secret key; and/or the presence of a gas in the gas,
if the data source of the database is accessed, the data access object is accessed by the data acquisition interface, and the data is read from the database based on the object relational mapping; and/or the presence of a gas in the gas,
and if the network data source is accessed, the data acquisition interface reads the data through the http object.
5. A data loading apparatus, comprising:
the data source object inherits a predefined data source base class, and an acquisition data interface, a return data interface and a data acquisition mode are defined in the data source base class;
and the data acquisition unit is used for calling at least one data source to acquire data according to the data acquisition mode when the data is loaded.
6. The apparatus of claim 5, wherein the data source comprises at least one of: file data source, database data source, network data source.
7. The apparatus of claim 6, wherein the means for obtaining data comprises: and calling the data acquisition interface to orderly access the file data source, the database data source and the network data source to acquire the data.
8. The apparatus according to any one of claims 5-7, wherein the data acquisition unit is further configured to:
if the file data source is accessed, the data acquisition interface reads the data from a built-in cache of the file through a cache secret key; and/or the presence of a gas in the gas,
if the data source of the database is accessed, the data access object is accessed by the data acquisition interface, and the data is read from the database based on the object relational mapping; and/or the presence of a gas in the gas,
and if the network data source is accessed, the data acquisition interface reads the data through the http object.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the method according to any of claims 1-4 when executing the program.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1-4.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811476628.3A CN111259047B (en) | 2018-12-03 | 2018-12-03 | Data loading method, device, equipment and storage medium thereof |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811476628.3A CN111259047B (en) | 2018-12-03 | 2018-12-03 | Data loading method, device, equipment and storage medium thereof |
Publications (2)
Publication Number | Publication Date |
---|---|
CN111259047A true CN111259047A (en) | 2020-06-09 |
CN111259047B CN111259047B (en) | 2024-06-14 |
Family
ID=70945031
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201811476628.3A Active CN111259047B (en) | 2018-12-03 | 2018-12-03 | Data loading method, device, equipment and storage medium thereof |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN111259047B (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113742364A (en) * | 2021-09-10 | 2021-12-03 | 拉卡拉支付股份有限公司 | Data access method, data access device, electronic equipment, storage medium and program product |
CN114756612A (en) * | 2022-03-22 | 2022-07-15 | 阿里巴巴(中国)有限公司 | Data processing method |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101957863A (en) * | 2010-10-14 | 2011-01-26 | 广州从兴电子开发有限公司 | Data parallel processing method, device and system |
CN102270138A (en) * | 2011-08-15 | 2011-12-07 | 青岛海信传媒网络技术有限公司 | Entity object creation method and entity object creation device |
CN103634611A (en) * | 2012-08-21 | 2014-03-12 | 浙江大华技术股份有限公司 | A video server data source processing method and a url mapping method |
CN106126670A (en) * | 2016-06-28 | 2016-11-16 | 努比亚技术有限公司 | Operation data sequence processing method and processing device |
CN108363741A (en) * | 2018-01-22 | 2018-08-03 | 中国平安人寿保险股份有限公司 | Big data unified interface method, apparatus, equipment and storage medium |
-
2018
- 2018-12-03 CN CN201811476628.3A patent/CN111259047B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101957863A (en) * | 2010-10-14 | 2011-01-26 | 广州从兴电子开发有限公司 | Data parallel processing method, device and system |
CN102270138A (en) * | 2011-08-15 | 2011-12-07 | 青岛海信传媒网络技术有限公司 | Entity object creation method and entity object creation device |
CN103634611A (en) * | 2012-08-21 | 2014-03-12 | 浙江大华技术股份有限公司 | A video server data source processing method and a url mapping method |
CN106126670A (en) * | 2016-06-28 | 2016-11-16 | 努比亚技术有限公司 | Operation data sequence processing method and processing device |
CN108363741A (en) * | 2018-01-22 | 2018-08-03 | 中国平安人寿保险股份有限公司 | Big data unified interface method, apparatus, equipment and storage medium |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113742364A (en) * | 2021-09-10 | 2021-12-03 | 拉卡拉支付股份有限公司 | Data access method, data access device, electronic equipment, storage medium and program product |
CN113742364B (en) * | 2021-09-10 | 2023-12-26 | 拉卡拉支付股份有限公司 | Data access method, device, electronic equipment, storage medium and program product |
CN114756612A (en) * | 2022-03-22 | 2022-07-15 | 阿里巴巴(中国)有限公司 | Data processing method |
Also Published As
Publication number | Publication date |
---|---|
CN111259047B (en) | 2024-06-14 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN111177231B (en) | Report generation method and report generation device | |
US9262237B2 (en) | Automating software availability management based on API versioning | |
GB2589658A (en) | Method and apparatus for running an applet | |
CN110554876A (en) | Method and device for compiling android project | |
CN110865889A (en) | Method and apparatus for transferring events between components | |
CN111259047B (en) | Data loading method, device, equipment and storage medium thereof | |
US9135001B2 (en) | Dynamically configuring an integrated development environment | |
CN113032004B (en) | Method, apparatus and program product for managing development jobs in a development environment | |
CN112433713A (en) | Application program design graph processing method and device | |
CN111124523A (en) | Method and apparatus for initializing applications | |
CN113722007B (en) | Configuration method, device and system of VPN branch equipment | |
CN113760240B (en) | Method and device for generating data model | |
US11726818B1 (en) | System for executing tasks in different programming languages | |
CN115098530A (en) | Data acquisition method and device | |
CN115080077A (en) | Plug-in updating method, device, electronic equipment, system and storage medium | |
CN112650598A (en) | Multi-application access method for workflow system | |
US10120664B2 (en) | Incremental build generation | |
US9378225B2 (en) | Core service build / deployment for hierarchical database | |
CN113468487B (en) | Interface watermark rendering method and device, electronic equipment and computer readable medium | |
CN114090418A (en) | Page testing method and device | |
CN117472716A (en) | Non-invasive application log acquisition method, device, equipment and storage medium | |
CN113779078A (en) | Cache data acquisition method and device | |
CN113900643A (en) | Method and device for generating code | |
CN106687999B (en) | Generating a set of instructions implementing rules designed to update objects specified according to an application data model | |
CN113760921A (en) | Method and device for creating dictionary value |
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 | ||
GR01 | Patent grant | ||
GR01 | Patent grant |