CN111324653A - Method, device and equipment for acquiring offline data and storage medium - Google Patents
Method, device and equipment for acquiring offline data and storage medium Download PDFInfo
- Publication number
- CN111324653A CN111324653A CN202010096971.6A CN202010096971A CN111324653A CN 111324653 A CN111324653 A CN 111324653A CN 202010096971 A CN202010096971 A CN 202010096971A CN 111324653 A CN111324653 A CN 111324653A
- Authority
- CN
- China
- Prior art keywords
- offline data
- data
- offline
- converted
- data set
- 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
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
- G06F16/25—Integrating or interfacing systems involving database management systems
- G06F16/258—Data format conversion from or to a database
Abstract
The embodiment of the invention discloses a method, a device, equipment and a storage medium for acquiring offline data. The method comprises the following steps: splitting the offline data to obtain a plurality of offline data sets, wherein each offline data set is smaller than a first preset capacity; performing type conversion on each offline data set to obtain a converted offline data set, wherein the converted offline data set meets the storage type requirement of a target database; and combining each converted off-line data group to obtain the acquired data. In the embodiment, the processing pressure of the data can be reduced by splitting the high-capacity offline data, the system breakdown caused by too large processed data volume is avoided, each split offline data group is converted into the data meeting the storage type requirement of the target database, developers do not need to repeatedly code for conversion, the labor consumption is reduced, and the requirements of users on offline data acquisition are met.
Description
Technical Field
The embodiment of the invention relates to the technical field of data processing, in particular to a method, a device, equipment and a storage medium for acquiring offline data.
Background
At present, a large amount of data is accumulated in the industry, the capacity, the type and the change of the data are all increased sharply, and when data processing is carried out, the data processing is usually carried out in a batch processing mode in order to improve the data processing speed.
The inventor finds that at least the following problems exist in the prior art: in addition, the data format of the acquired offline data also has a storage type which is not in accordance with the actual database, and the acquired data needs to be manually compiled and converted into a data type which is matched with the actual database, so that the conventional offline data acquisition mode not only has the risk of system crash, but also needs to consume a large amount of manpower, and thus, the actual requirements of users cannot be met.
Disclosure of Invention
The embodiment of the invention provides a method, a device, equipment and a storage medium for acquiring offline data. So as to realize the effective collection of the off-line data.
In a first aspect, an embodiment of the present invention provides an offline data acquisition method, including:
splitting offline data to obtain a plurality of offline data groups, wherein each offline data group is smaller than a first preset capacity;
performing type conversion on each offline data set to obtain a converted offline data set, wherein the converted offline data set meets the storage type requirement of a target database;
and combining each converted off-line data group to obtain collected data.
In a second aspect, an embodiment of the present invention provides an offline data acquisition apparatus, including:
the offline data group acquisition module is used for splitting offline data to acquire a plurality of offline data groups, wherein each offline data group is smaller than a first preset capacity;
the offline data group conversion module is used for carrying out type conversion on each offline data group to obtain a converted offline data group, wherein the converted offline data group meets the storage type requirement of a target database;
and the acquired data acquisition module is used for combining each converted offline data group to acquire acquired data.
In a third aspect, an embodiment of the present invention provides an apparatus, where the apparatus 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 are caused to implement the methods of any of the embodiments of the present invention.
In a fourth aspect, the embodiments of the present invention further provide a computer storage medium, on which a computer program is stored, which when executed by a processor implements the method according to any of the embodiments of the present invention.
According to the technical scheme of the embodiment of the invention, the processing pressure of data can be reduced by splitting the high-capacity offline data, the system crash caused by too large processed data volume is avoided, each split offline data group is converted into the data meeting the storage type requirement of the target database, developers do not need to repeatedly code for conversion, the labor consumption is reduced, and the requirement of users on offline data acquisition is met.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a flowchart of an off-line data acquisition method according to an embodiment of the present invention;
fig. 2 is a flowchart of an off-line data acquisition method according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of an off-line data acquisition device according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of an apparatus provided in the fourth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention.
It should be noted that, for the convenience of description, only some of the matters related to the present invention are shown in the drawings, not all of them. Before discussing exemplary embodiments in more detail, it should be noted that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart may describe the operations (or steps) as a sequential process, many of the operations can be performed in parallel, concurrently or simultaneously. In addition, the order of the operations may be re-arranged. A process may be terminated when its operations are completed, but may have additional steps not included in the figure. The processes may correspond to methods, functions, procedures, subroutines, and the like.
Example one
Fig. 1 is a flowchart of an offline data acquisition method according to an embodiment of the present invention, where the present embodiment is applicable to a case of acquiring large-capacity offline data, and the method may be executed by an offline data acquisition device according to an embodiment of the present invention, and the device may be implemented in a software and/or hardware manner. As shown in fig. 1, the method specifically includes the following operations:
Each offline data set is smaller than a first preset capacity.
Optionally, before splitting the offline data to obtain a plurality of offline data sets, the method may further include: determining that the offline data is larger than a second preset capacity, wherein the second preset capacity is larger than the first preset capacity; and intercepting the offline data.
Optionally, the data types in each offline data set are the same.
Specifically, when it is determined that offline data to be warehoused is larger than a second preset capacity, it is indicated that the offline data to be warehoused is large-capacity data, and if the offline data is directly collected and stored, a risk of system crash exists, so that the offline data is intercepted before warehousing, then the intercepted offline data is split to obtain a plurality of offline data sets, each offline data set is smaller than the first preset capacity, the number of the offline data sets is not limited, of course, the first preset capacity is set in advance and the database system can be guaranteed to normally operate, and a specific numerical value of the first preset capacity is not limited in the embodiment.
It should be noted that, in order to improve the efficiency of subsequent data processing, the same type of data is split into the same offline data group when data splitting is performed.
And 102, performing type conversion on each offline data set to obtain a converted offline data set.
And the converted offline data set meets the storage type requirement of the target database.
Optionally, performing type conversion on each offline data group to obtain a converted offline data group, which may include: acquiring a database configuration list, wherein the database configuration list comprises conversion modes corresponding to each offline data set; and performing type conversion on each offline data group according to the database configuration list to obtain a converted offline data group.
Specifically, in this embodiment, as for the offline data obtained from the external interface, the type of the offline data may not be suitable for the database to be stored, and therefore the type of the offline data group needs to be converted into the storage type conforming to the database, and the conversion manner corresponding to each offline data group is stored in the database configuration list, for example, it is determined that the data type in one offline data group is a double type, and the offline data group storing the double type in the database configuration list needs to be converted into a byte type, and then the offline data group is converted according to the configuration requirement, but this embodiment is only an example, and the specific conversion manner of the data group is not limited in this embodiment, as long as the type of the converted offline data group conforms to the storage type of the database, and is within the protection scope of this application, therefore, the present embodiment is not limited thereto.
Optionally, before obtaining the database configuration list, the method may further include: each offline data set is cleaned using a cleaning tool. Performing type conversion on each offline data group according to the database configuration list to obtain a converted offline data group, which specifically comprises: and performing type conversion on each cleaned offline data set according to the database configuration list to obtain a converted offline data set.
Specifically, before the database configuration list is obtained and the offline data sets are converted, a cleaning tool is needed to clean each offline data set, so that obviously invalid data or wrong data in the offline data sets are deleted, and the data processing efficiency is further ensured.
And 103, combining each converted off-line data group to obtain collected data.
Specifically, in this embodiment, after each offline data group is converted, in order to ensure the integrity of the offline data, each converted offline data group needs to be merged, and the merged result is used as the collected data. The large-capacity offline data is processed in a splitting mode, so that the problem of system breakdown caused by too large capacity of the processed offline data is solved.
According to the technical scheme of the embodiment of the invention, the processing pressure of data can be reduced by splitting the high-capacity offline data, the system crash caused by too large processed data volume is avoided, each split offline data group is converted into the data meeting the storage type requirement of the target database, developers do not need to repeatedly code for conversion, the labor consumption is reduced, and the requirement of users on offline data acquisition is met.
Example two
Fig. 2 is a flowchart of an offline data acquisition method according to an embodiment of the present invention, where the embodiment is based on the foregoing embodiment, and after combining each converted offline data set to obtain acquired data, the method further includes: carrying out quality detection on the acquired data; and loading the acquired data into the target database when the acquired data is determined to meet the standard of the target database. Correspondingly, the method of the embodiment specifically includes the following operations:
And step 203, merging each converted off-line data group to obtain collected data.
And step 204, carrying out quality detection on the acquired data.
Specifically, after each converted offline data is merged to obtain stimulus data, a data scrambling condition may occur due to network failure in the merging process, so that data merging failure is caused, and therefore, the accuracy of data processing can be further ensured by performing quality inspection on the acquired data.
It should be noted that, when quality detection is performed on the collected data, if quality problems such as garbled code and error of the collected data occur, an alarm prompt, specifically a voice prompt or a text prompt, is also issued to prompt a user to perform processing in time.
When quality problems such as messy codes and the like do not exist in the acquired data by detecting the off-line data, the acquired data can be timely loaded into a target database for storage.
Optionally, after the collected data is loaded into the target database, the method may further include: and updating a log table according to the data loading result of the target database, wherein the log table is used for recording the data change of the target database in real time.
The data change of the database can be recorded in time by updating the log table, so that maintenance personnel can maintain and adjust the database according to the log table under the condition that the database fails.
According to the technical scheme of the embodiment of the invention, the processing pressure of data can be reduced by splitting the high-capacity offline data, the system crash caused by too large processed data volume is avoided, each split offline data group is converted into the data meeting the storage type requirement of the target database, developers do not need to repeatedly code for conversion, the labor consumption is reduced, and the requirement of users on offline data acquisition is met. And through carrying out quality detection on the acquired data, when the acquired data is determined to accord with the standard of the target database, the acquired data is loaded into the target database, so that the accuracy of the data can be further ensured.
EXAMPLE III
Fig. 3 is a schematic structural diagram of an off-line data acquisition apparatus provided in a third embodiment of the present invention, where the apparatus includes: an offline data obtaining module 301, an offline data group converting module 302 and a collected data obtaining module 303.
The offline data group obtaining module 301 is configured to split offline data to obtain multiple offline data groups, where each offline data group is smaller than a first preset capacity;
an offline data set conversion module 302, configured to perform type conversion on each offline data set to obtain a converted offline data set, where the converted offline data set meets the storage type requirement of the target database;
and an acquired data acquiring module 303, configured to combine each converted offline data group to acquire acquired data.
The device can execute the method for acquiring the off-line data provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method. For technical details not described in detail in this embodiment, reference may be made to the method provided in any embodiment of the present invention.
Example four
Fig. 4 is a schematic structural diagram of an apparatus according to an embodiment of the present invention. Fig. 4 illustrates a block diagram of an exemplary device 412 suitable for use in implementing embodiments of the present invention. The device 412 shown in fig. 4 is only an example and should not impose any limitation on the functionality or scope of use of embodiments of the present invention.
As shown in FIG. 4, device 412 is in the form of a general purpose computing device. The components of device 412 may include, but are not limited to: one or more processors 416, a memory 428, and a bus 418 that couples the various system components (including the memory 428 and the processors 416).
The memory 428 is used to store instructions. Memory 428 can include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM)430 and/or cache memory 432. The device 412 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 434 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 4, commonly referred to as a "hard drive"). Although not shown in FIG. 4, a magnetic disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to bus 418 by one or more data media interfaces. Memory 428 can include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the invention.
A program/utility 440 having a set (at least one) of program modules 442 may be stored, for instance, in memory 428, such program modules 442 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which examples or some combination thereof may comprise an implementation of a network environment. The program modules 442 generally perform the functions and/or methodologies of the described embodiments of the invention.
The device 412 may also communicate with one or more external devices 414 (e.g., keyboard, pointing device, display 424, etc.), with one or more devices that enable a user to interact with the device 412, and/or with any devices (e.g., network card, modem, etc.) that enable the device 412 to communicate with one or more other computing devices. Such communication may occur via input/output (I/O) interfaces 422. Also, the device 412 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the internet) through the network adapter 420. As shown, network adapter 420 communicates with the other modules of device 412 over bus 418. It should be appreciated that although not shown in FIG. 4, other hardware and/or software modules may be used in conjunction with device 412, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
The processor 416 executes instructions stored in the memory 428 to perform various functional applications and data processing, for example, implement the offline data collection method provided by the embodiment of the present invention: splitting the offline data to obtain a plurality of offline data sets, wherein each offline data set is smaller than a first preset capacity; performing type conversion on each offline data set to obtain a converted offline data set, wherein the converted offline data set meets the storage type requirement of a target database; and combining each converted off-line data group to obtain the acquired data.
EXAMPLE five
An embodiment five of the present invention provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the method for acquiring offline data, provided by all the inventive embodiments of the present application:
splitting the offline data to obtain a plurality of offline data sets, wherein each offline data set is smaller than a first preset capacity; performing type conversion on each offline data set to obtain a converted offline data set, wherein the converted offline data set meets the storage type requirement of a target database; and combining each converted off-line data group to obtain the acquired data.
Any combination of one or more computer-readable media may be employed. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. 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 (a non-exhaustive list) of the computer readable storage medium would include the following: 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 context of this document, 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.
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 any of a variety of 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, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (10)
1. An off-line data acquisition method, comprising:
splitting offline data to obtain a plurality of offline data groups, wherein each offline data group is smaller than a first preset capacity;
performing type conversion on each offline data set to obtain a converted offline data set, wherein the converted offline data set meets the storage type requirement of a target database;
and combining each converted off-line data group to obtain collected data.
2. The method of claim 1, wherein before splitting the offline data into a plurality of offline data groups, further comprising:
determining that the offline data is larger than a second preset capacity, wherein the second preset capacity is larger than the first preset capacity;
and intercepting the offline data.
3. The method of claim 1, wherein the type-converting each of the offline data sets to obtain a converted offline data set comprises:
acquiring a database configuration list, wherein the database configuration list comprises conversion modes corresponding to each offline data set;
and performing type conversion on each offline data group according to the database configuration list to obtain the converted offline data group.
4. The method of claim 3, wherein after combining each of the converted offline data sets to obtain the collected data, further comprising:
performing quality detection on the acquired data;
loading the collected data into the target database upon determining that the collected data meets criteria of the target database.
5. The method of claim 3, wherein prior to obtaining the database configuration list, further comprising:
cleaning each off-line data set by using a cleaning tool;
the type conversion of each offline data set according to the database configuration list to obtain the converted offline data set specifically includes:
and performing type conversion on each cleaned offline data set according to the database configuration list to obtain the converted offline data set.
6. The method of claim 4, wherein after loading the acquisition data into the target database, further comprising:
and updating a log table according to the data loading result of the target database, wherein the log table is used for recording the data change of the target database in real time.
7. The method of any one of claims 1 to 6, wherein the data types in each of the offline data sets are the same.
8. An apparatus for acquiring offline data, comprising:
the offline data group acquisition module is used for splitting offline data to acquire a plurality of offline data groups, wherein each offline data group is smaller than a first preset capacity;
the offline data group conversion module is used for carrying out type conversion on each offline data group to obtain a converted offline data group, wherein the converted offline data group meets the storage type requirement of a target database;
and the acquired data acquisition module is used for combining each converted offline data group to acquire acquired data.
9. An apparatus, characterized in that the apparatus comprises:
one or more processors;
storage means for storing 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 1-7.
10. A computer storage medium on which a computer program is stored, which program, when being executed by a processor, carries out the method according to any one of claims 1-7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010096971.6A CN111324653B (en) | 2020-02-17 | 2020-02-17 | Method, device and equipment for acquiring offline data and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010096971.6A CN111324653B (en) | 2020-02-17 | 2020-02-17 | Method, device and equipment for acquiring offline data and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111324653A true CN111324653A (en) | 2020-06-23 |
| CN111324653B CN111324653B (en) | 2021-03-16 |
Family
ID=71163535
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010096971.6A Active CN111324653B (en) | 2020-02-17 | 2020-02-17 | Method, device and equipment for acquiring offline data and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111324653B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111866164A (en) * | 2020-07-29 | 2020-10-30 | 钱秀英 | Information acquisition system and method for data transmission among communication devices |
| CN115221184A (en) * | 2022-09-01 | 2022-10-21 | 北京理工大学 | Basic geographic data sending method, device, equipment and computer readable medium |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104516967A (en) * | 2014-12-25 | 2015-04-15 | 国家电网公司 | Electric power system mass data management system and use method thereof |
| GB2535579A (en) * | 2014-11-12 | 2016-08-24 | Greyheller Llc | Preventing unauthorized access to an application server |
| CN106095959A (en) * | 2016-06-16 | 2016-11-09 | 北京中电普华信息技术有限公司 | A kind of collecting method, Apparatus and system |
| CN106469158A (en) * | 2015-08-17 | 2017-03-01 | 杭州海康威视系统技术有限公司 | Method of data synchronization and device |
| CN106598979A (en) * | 2015-10-15 | 2017-04-26 | 北京国双科技有限公司 | Data writing method and device |
| CN110046137A (en) * | 2017-12-20 | 2019-07-23 | 宏碁云端技术公司 | By data stream packet and the system and method that store into cloud storage file |
| CN110096541A (en) * | 2019-04-28 | 2019-08-06 | 新华三大数据技术有限公司 | Method for interchanging data and device between a kind of database |
| US10476860B1 (en) * | 2016-08-29 | 2019-11-12 | Amazon Technologies, Inc. | Credential translation |
-
2020
- 2020-02-17 CN CN202010096971.6A patent/CN111324653B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| GB2535579A (en) * | 2014-11-12 | 2016-08-24 | Greyheller Llc | Preventing unauthorized access to an application server |
| CN104516967A (en) * | 2014-12-25 | 2015-04-15 | 国家电网公司 | Electric power system mass data management system and use method thereof |
| CN106469158A (en) * | 2015-08-17 | 2017-03-01 | 杭州海康威视系统技术有限公司 | Method of data synchronization and device |
| CN106598979A (en) * | 2015-10-15 | 2017-04-26 | 北京国双科技有限公司 | Data writing method and device |
| CN106095959A (en) * | 2016-06-16 | 2016-11-09 | 北京中电普华信息技术有限公司 | A kind of collecting method, Apparatus and system |
| US10476860B1 (en) * | 2016-08-29 | 2019-11-12 | Amazon Technologies, Inc. | Credential translation |
| CN110046137A (en) * | 2017-12-20 | 2019-07-23 | 宏碁云端技术公司 | By data stream packet and the system and method that store into cloud storage file |
| CN110096541A (en) * | 2019-04-28 | 2019-08-06 | 新华三大数据技术有限公司 | Method for interchanging data and device between a kind of database |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111866164A (en) * | 2020-07-29 | 2020-10-30 | 钱秀英 | Information acquisition system and method for data transmission among communication devices |
| CN115221184A (en) * | 2022-09-01 | 2022-10-21 | 北京理工大学 | Basic geographic data sending method, device, equipment and computer readable medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111324653B (en) | 2021-03-16 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109471851B (en) | Data processing method, device, server and storage medium | |
| CN111324653B (en) | Method, device and equipment for acquiring offline data and storage medium | |
| CN110688544A (en) | Method, device and storage medium for querying database | |
| CN110737594A (en) | Database standard conformance testing method and device for automatically generating test cases | |
| CN113468128A (en) | Data processing method and device, electronic equipment and storage medium | |
| CN110647318A (en) | Method, device, equipment and medium for creating instance of stateful application | |
| CN112860706A (en) | Service processing method, device, equipment and storage medium | |
| CN111241043A (en) | Multimedia file sharing method, terminal and storage medium | |
| CN111274130A (en) | Automatic testing method, device, equipment and storage medium | |
| CN110597704B (en) | Pressure test method, device, server and medium for application program | |
| CN111563172B (en) | Academic hot spot trend prediction method and device based on dynamic knowledge graph construction | |
| CN111061740B (en) | Data synchronization method, device and storage medium | |
| CN112069158A (en) | Data restoration method, device, equipment and storage medium | |
| CN111784176A (en) | Data processing method, device, server and medium | |
| CN109284108B (en) | Unmanned vehicle data storage method and device, electronic equipment and storage medium | |
| CN112395141B (en) | Data page management method and device, electronic equipment and storage medium | |
| CN110955645B (en) | Big data integration processing method and system | |
| CN110134435B (en) | Code repair case acquisition method, device, equipment and storage medium | |
| CN112818204A (en) | Service processing method, device, equipment and storage medium | |
| CN111262727A (en) | Service capacity expansion method, device, equipment and storage medium | |
| CN113760696A (en) | Program problem positioning method and device, electronic equipment and storage medium | |
| CN111522832B (en) | Big data real-time updating method, system, equipment and storage medium | |
| CN112485554B (en) | Electrical performance test platform for complex product | |
| CN117555765A (en) | Performance analysis method and device based on accelerator card, electronic equipment and medium | |
| CN114708355A (en) | Rigidity test data processing method and device, electronic equipment and storage medium |
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 | ||
| CP02 | Change in the address of a patent holder | ||
| CP02 | Change in the address of a patent holder |
Address after: 215000 17F, friendship time building, No. 68, Qitai Road, Suzhou Industrial Park, Suzhou area, China (Jiangsu) pilot Free Trade Zone, Suzhou, Jiangsu Patentee after: SUZHOU YIGE NETWORK TECHNOLOGY Co.,Ltd. Address before: Room 201-203, No.55 Qunxing Road, Suzhou Industrial Park, Suzhou, Jiangsu, 215006 Patentee before: SUZHOU YIGE NETWORK TECHNOLOGY Co.,Ltd. |