CN112527792A - Data storage method, device, equipment and storage medium - Google Patents
Data storage method, device, equipment and storage medium Download PDFInfo
- Publication number
- CN112527792A CN112527792A CN201910883658.4A CN201910883658A CN112527792A CN 112527792 A CN112527792 A CN 112527792A CN 201910883658 A CN201910883658 A CN 201910883658A CN 112527792 A CN112527792 A CN 112527792A
- Authority
- CN
- China
- Prior art keywords
- data
- field
- storage
- target data
- field type
- 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
- 238000013500 data storage Methods 0.000 title claims abstract description 56
- 238000000034 method Methods 0.000 title claims abstract description 49
- 238000013507 mapping Methods 0.000 claims description 51
- 238000004891 communication Methods 0.000 claims description 3
- 238000010586 diagram Methods 0.000 description 11
- 238000004590 computer program Methods 0.000 description 6
- 238000012986 modification Methods 0.000 description 4
- 230000004048 modification Effects 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 238000012545 processing Methods 0.000 description 3
- 230000003287 optical effect Effects 0.000 description 2
- 230000006978 adaptation Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 238000011144 upstream manufacturing Methods 0.000 description 1
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
- G06F16/22—Indexing; Data structures therefor; Storage structures
- G06F16/2282—Tablespace storage structures; Management thereof
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Software Systems (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The invention discloses a data storage method, a data storage device, data storage equipment and a data storage medium. The method comprises the following steps: collecting data from a target data source; determining the field type mapped by the field information according to the field information in the data; and storing the data into a storage space corresponding to the field type in a database table corresponding to the target data source. The method and the device provide a unified storage structure for the data sources with different data structures by setting different field types for the storage space of the database table, avoid setting different data storage structures for the data sources with different data structures respectively, reduce the storage complexity of different target data sources, simplify the data storage steps, improve the data storage efficiency, and facilitate the unified storage of the data of the target data sources with different data structures by reusing the storage logic of the method and the device.
Description
Technical Field
The present invention relates to the field of computer technologies, and in particular, to a data storage method, apparatus, device, and storage medium.
Background
In the prior art, the acquisition and storage of mass data is a project with huge workload, and from the viewpoint of performance and stability, the acquisition and storage of mass data needs to be processed in a streaming manner. Currently, different data sources employ different data structures, such as: WeChat data sources, microblog data sources, question and answer data sources and the like, wherein each data source follows a respective data structure. This results in the need to design a matching data structure for each data source to store data from that data source when designing the underlying storage, i.e., to provide customized data structures for different data sources.
In summary, since different data sources correspond to different data structures, the data storage efficiency for different data sources is low. Particularly, when a new data source is created, a corresponding data structure needs to be designed for the data source first, so that the workload required for creating the new data source is large.
Disclosure of Invention
The invention mainly aims to provide a data storage method, a data storage device, data storage equipment and a data storage medium, and aims to solve the problem that different data structures need to be designed for data sources with different data structures in the existing data storage mode.
Aiming at the technical problems, the invention solves the technical problems by the following technical scheme:
the invention provides a data storage method, which comprises the following steps: collecting data from a target data source; determining the field type mapped by the field information according to the field information in the data; and storing the data into a storage space corresponding to the field type in a database table corresponding to the target data source.
Wherein, before the acquiring data from the target data source, further comprising: when the target data source is newly added, a database table corresponding to the target data source is created; the database table comprises a plurality of storage spaces, and each storage space is used for storing field information corresponding to one field type; and/or setting a mapping relation table according to the data structure of the target data source; wherein the mapping relation table includes: and each kind of field information in the target data source is respectively mapped to a field type.
Wherein the determining the field type of the field information mapping includes: and determining the field type of the field information mapping by inquiring the mapping relation table.
Wherein, prior to storing the data in the storage space corresponding to the field type, the method further comprises: determining a field type corresponding to each field information in the data; determining a storage space in the database table respectively corresponding to each field type; the storing the data into a storage space corresponding to the field type in a database table includes: respectively storing each field information in the data into corresponding storage space in the database table; and/or, when storing the data in the storage space, if data is already stored in the storage space, overwriting the already stored data with the acquired data.
The database comprises a plurality of database tables with at least partially same storage structures; wherein each database table is used for storing data collected from one target data source.
Wherein the field type includes: a general field and a specific field; the universal field is used for mapping the same field between target data sources of different data structures; the specific fields are used for mapping different fields between target data sources of different data structures.
Wherein the field type further includes: an extension field; and the extension field is used for mapping the newly extended field in the target data source.
The present invention also provides a data storage device comprising: the acquisition module is used for acquiring data from a target data source; the query module is used for determining the field type mapped by the field information according to the field information in the data; and the storage module is used for storing the data in a database table corresponding to the target data source into a storage space corresponding to the field type.
The present invention also provides a data storage device, comprising: at least one processor, and at least one memory, bus connected with the processor; the processor and the memory complete mutual communication through the bus; the processor is used for calling the program instructions in the memory so as to execute the data storage method.
The present invention also provides a storage medium characterized in that the storage medium stores one or more programs executable by one or more processors to implement the above-described data storage method.
The invention has the following beneficial effects:
according to the invention, a unified storage structure is provided for the data sources with different data structures by setting different field types for the storage space in the database table, so that the problem that different data storage structures are respectively set for the data sources with different data structures is avoided, the storage complexity of different target data sources is reduced, the data storage steps are simplified, the data storage efficiency is improved, the target data sources with different data structures can reuse the warehousing logic of the invention, and the unified warehousing of the data of the target data sources with different data structures is facilitated.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
FIG. 1 is a flow diagram of a data storage method according to an embodiment of the invention;
FIG. 2 is a flowchart of the steps for setting the mapping relationships according to one embodiment of the invention;
FIG. 3 is a block diagram of a data storage device according to an embodiment of the present invention;
FIG. 4 is a block diagram of a data storage device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail below with reference to the accompanying drawings and specific embodiments.
According to an embodiment of the present invention, a data storage method is provided. The embodiment can be executed in a platform layer, namely, in a data receiving and storing end. Fig. 1 is a flow chart of a data storage method according to an embodiment of the invention.
Step S110, data is collected from a target data source.
The target data source refers to a data source needing data acquisition. In other words, the target data source is the source platform of the data. Further, the target data source refers to upstream data. For example: a microblog data source, a WeChat data source, a question and answer data source and the like. The embodiment of the present invention does not limit the specific type of the target data source, and in principle, any data source that needs to perform data acquisition and storage may be used as the target data source in the embodiment of the present invention.
Step S120, according to the field information in the data, determining the field type mapped by the field information.
The field information refers to a field in the data. Further, the data may include a plurality of field information.
The field type refers to a category to which the field information belongs.
In the present embodiment, the field type is set according to the characteristics of the field between different target data sources. The characteristics of the fields are, for example, commonality (commonality) and personality between the fields.
For example: a field type, including: general fields and specific fields. The common field is used for mapping the same field, namely the common field, among target data sources of different data structures. The special fields are used for mapping different fields, namely individual fields, among target data sources of different data structures.
For another example: the field type includes, in addition to general fields and specific fields: an extension field. And the extension field is used for mapping the newly extended field in the target data source.
Further, before acquiring data from the target data source, the method may further include: when the target data source is newly added, a database table corresponding to the target data source is created; the database table comprises a plurality of storage spaces, and each storage space is used for storing field information corresponding to one field type; and/or setting a mapping relation table according to the data structure of the target data source; wherein the mapping relation table includes: and each kind of field information in the target data source is respectively mapped to a field type.
The determining the field type of the field information mapping includes: and determining the field type of the field information mapping by inquiring the mapping relation table.
And step S130, storing the data in a database table corresponding to the target data source into a storage space corresponding to the field type.
In this embodiment, before the data is stored in the storage space corresponding to the field type, a field type corresponding to each piece of field information in the data may also be determined; determining a storage space in the database table respectively corresponding to each field type; respectively storing each field information in the data into corresponding storage space in the database table; and/or, when storing the data in the storage space, if data is already stored in the storage space, overwriting the already stored data with the acquired data.
In this embodiment, the database includes a plurality of database tables with at least partially identical storage structures; wherein each database table is used for storing data collected from one target data source. The part with the same storage structure in the plurality of database tables is divided into a plurality of storage spaces, and each storage space is used for storing field information corresponding to one field type. Further, the storage structure of the multiple database tables may be the same, namely: each database table is divided into a plurality of storage spaces, and each storage space is used for storing field information corresponding to one field type. In this way, although the data structures of different target data sources are the same or different, the storage structures of the database tables corresponding to different target data sources are the same.
For example: the database comprises a plurality of database tables, each database table corresponds to one target data source, and the same two field types are set for each database table in the plurality of database tables, wherein one field type is used for mapping general fields among the plurality of target data sources, and the other field type is used for mapping personalized fields among the plurality of target data sources. Such as: the 'praise' is a general field of a microblog data source and a WeChat data source, and the 'hot search ranking' is a personalized field of microblog data.
Further, the storage space corresponding to each field type is a field set, and each field set comprises a plurality of fields. When the data is stored in the storage space, each field information in the data may be stored in a corresponding field in the storage space of a corresponding field type. For example: and storing the 'approval number of 2000' into an 'approval number' field in the storage space of the corresponding field type.
In the embodiment, a unified storage structure is provided for the data sources with different data structures by setting different field types for the storage space in the database table, so that the problem that different data storage structures are respectively set for the data sources with different data structures is avoided, the storage complexity of different target data sources is reduced, the data storage steps are simplified, the data storage efficiency is improved, the target data sources with different data structures can reuse the warehousing logic of the invention, and the unified warehousing of the data of the target data sources with different data structures is facilitated.
In the embodiment, the same and different target data sources are abstracted into the same storage structure, and when the target data sources are newly added, as long as the target data sources are structured into the storage structure agreed by the invention, the platform layer can adapt to the newly added target data sources without any modification, so that the data of each target data source can be unified, the storage complexity of each target data source is reduced, and the workload and the development cost are reduced.
The present embodiment may perform data acquisition and storage in a streaming manner for each target data source.
Based on the above embodiment, the following describes the steps of setting the mapping relationship. Fig. 2 is a flowchart illustrating a setting procedure of mapping relationships according to an embodiment of the present invention.
Step S210, when a target data source is newly added, a database table corresponding to the target data source is created.
In this embodiment, the storage structure of the database table corresponding to the target data source is the same as the storage structure of the database tables corresponding to other target data sources.
In a database table, include: and each storage space is used for storing field information corresponding to one field type.
Step S220, the data structure of the target data source is analyzed.
The data structure of the target data source is parsed for determining the fields involved in the target data source.
Step S230, setting a mapping relation table according to the data structure of the target data source.
In the mapping relationship table, the following are included: each kind of field information in the target data source is mapped to a field type respectively.
Specifically, the field types may include: a common field common and a special field special.
A common field for mapping the same field between target data sources of different data structures. The storage space corresponding to the general field can store similar field information between different target data sources. For example: ID (Identity document), mainContent, updateTime, etc. Further, the same field between target data sources of different data structures refers to a field with the same meaning between target data sources of different data structures. For example: the "praise number" and the "support number" have the same meaning.
Unique fields, also known as personalization fields, are used to map different fields between target data sources of different data structures. The storage space corresponding to the specific field can store the field information specially held by the target data source. Further, different fields between target data sources of different data structures refer to special holding fields between target data sources of different data structures. For example: compared with the situation that the microblog data source does not have the 'hot search ranking', the microblog data source has the 'hot search ranking' which is the personalized field of the microblog data source.
Further, the field type may further include: the extension field dynamic. And the extension field is used for mapping the newly extended field in the target data source. Furthermore, because the data content of the target data source is not strictly unchanged, the extension field is set to be prepared in advance for adding a new field to the target data source, and when a certain target data source needs to add a new field, the data adaptation can be realized without any modification.
After a database table corresponding to a target data source is established, according to a data structure of the target data source, fields contained in the target data source can be determined, and then the field type to be mapped by each field of the target data source is determined; according to the field type to be mapped of each field of the target data source, the storage space corresponding to the field type in the database table can be determined, and then a mapping relation table can be set.
According to the set mapping relation table, when data storage is executed, the field type of the field information mapped in the database table can be inquired in the mapping relation table, and then the storage space in which the field information should be stored is determined.
In this embodiment, when a data source is newly added, a database table having the same storage structure as other target data sources may be directly created without setting a corresponding data structure for the newly added data source, and data storage of different target data sources may be implemented by the database table.
In this embodiment, for the problem that the data structures of different target data sources are different, a general field, a specific field, and an extended field are provided for all the target data sources, and are respectively used to store data with the same meaning of each target data source, specially-held data, and newly-added field data, so that the target data sources can be adapted without modifying a database table during data storage.
A data storage device is provided below. The data storage device may be disposed at a platform layer.
Fig. 3 is a block diagram of a data storage device according to an embodiment of the present invention.
The data storage device includes: an acquisition module 310, a query module 320, and a storage module 330.
An acquisition module 310 for acquiring data from a target data source.
A determining module 320, configured to determine, according to field information in the data, a field type mapped by the field information.
A storage module 330, configured to store the data in a database table corresponding to the target data source into a storage space corresponding to the field type.
Wherein the device further comprises a setting module (not shown in the figures). The setting module is used for creating a database table corresponding to a target data source when the target data source is newly added before the data is collected from the target data source; the database table comprises a plurality of storage spaces, and each storage space is used for storing field information corresponding to one field type; and/or setting a mapping relation table according to the data structure of the target data source; wherein the mapping relation table includes: and each kind of field information in the target data source is respectively mapped to a field type.
Wherein the determining module 320 is configured to: and determining the field type of the field information mapping by inquiring the mapping relation table.
Wherein the determining module 320 is configured to: before the data is stored in a storage space corresponding to the field type, determining the field type corresponding to each field information in the data; determining a storage space in the database table respectively corresponding to each field type; the storage module 330 is configured to: respectively storing each field information in the data into corresponding storage space in the database table; and/or, when storing the data in the storage space, if data is already stored in the storage space, overwriting the already stored data with the acquired data.
The database comprises a plurality of database tables with at least partially same storage structures; wherein each database table is used for storing data collected from one target data source.
Wherein the field type includes: a general field and a specific field; the universal field is used for mapping the same field between target data sources of different data structures; the specific fields are used for mapping different fields between target data sources of different data structures.
Wherein the field type further includes: an extension field; and the extension field is used for mapping the newly extended field in the target data source.
The functions of the apparatus of the present invention have been described in the method embodiments shown in fig. 1 to fig. 2, so that reference may be made to the related descriptions in the foregoing embodiments for details in the description of the present embodiment, which are not repeated herein.
The data storage device comprises a processor and a memory, the acquisition module 310, the query module 320, the storage module 330 and the like are all stored in the memory as program units, and the processor executes the program units stored in the memory to realize corresponding functions.
The processor comprises a kernel, and the kernel calls the corresponding program unit from the memory. The kernel can be set to be one or more, and the data storage method is realized by adjusting the kernel parameters. Since the data storage method has already been described above, it is not described herein.
An embodiment of the present invention provides a storage medium (computer-readable storage medium) having a program stored thereon, the program implementing the data storage method when executed by a processor. Further, the storage medium stores one or more programs, which are executable by one or more processors to implement the data storage method. Since the data storage method has already been described above, it is not described herein.
The embodiment of the invention provides a processor, which is used for running a program, wherein the data storage method is executed when the program runs. Since the data storage method has already been described above, it is not described herein.
The embodiment of the invention provides a data storage device. Fig. 4 is a block diagram of a data storage device according to an embodiment of the present invention.
The data storage device 40 includes at least one processor 410, and at least one memory 420 connected to the processor, a bus 430; the processor 410 and the memory 420 complete communication with each other through the bus 430; processor 410 is operative to call program instructions in memory 420 to perform the data storage methods described above. Since the data storage method has already been described above, it is not described herein. The device herein may be a server, a PC, a PAD, a mobile phone, etc.
The invention also provides a computer program product. When executed on a data processing device, is adapted to perform a procedure for initializing the following method steps: collecting data from a target data source; determining the field type mapped by the field information according to the field information in the data; and storing the data into a storage space corresponding to the field type in a database table corresponding to the target data source.
Wherein, before the acquiring data from the target data source, further comprising: when the target data source is newly added, a database table corresponding to the target data source is created; the database table comprises a plurality of storage spaces, and each storage space is used for storing field information corresponding to one field type; and/or setting a mapping relation table according to the data structure of the target data source; wherein the mapping relation table includes: and each kind of field information in the target data source is respectively mapped to a field type.
Wherein the determining the field type of the field information mapping includes: and determining the field type of the field information mapping by inquiring the mapping relation table.
Wherein, prior to storing the data in the storage space corresponding to the field type, the method further comprises: determining a field type corresponding to each field information in the data; determining a storage space in the database table respectively corresponding to each field type; the storing the data into a storage space corresponding to the field type in a database table includes: respectively storing each field information in the data into corresponding storage space in the database table; and/or, when storing the data in the storage space, if data is already stored in the storage space, overwriting the already stored data with the acquired data.
The database comprises a plurality of database tables with at least partially same storage structures; wherein each database table is used for storing data collected from one target data source.
Wherein the field type includes: a general field and a specific field; the universal field is used for mapping the same field between target data sources of different data structures; the specific fields are used for mapping different fields between target data sources of different data structures.
Wherein the field type further includes: an extension field; and the extension field is used for mapping the newly extended field in the target data source.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a device includes one or more processors (CPUs), memory, and a bus. The device may also include input/output interfaces, network interfaces, and the like.
The memory may include volatile memory in a computer readable medium, Random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip. The memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. A method of storing data, comprising:
collecting data from a target data source;
determining the field type mapped by the field information according to the field information in the data;
and storing the data into a storage space corresponding to the field type in a database table corresponding to the target data source.
2. The method of claim 1, further comprising, prior to said acquiring data from a target data source:
when the target data source is newly added, a database table corresponding to the target data source is created; the database table comprises a plurality of storage spaces, and each storage space is used for storing field information corresponding to one field type; and/or the presence of a gas in the gas,
setting a mapping relation table according to the data structure of the target data source; wherein the mapping relation table includes: and each kind of field information in the target data source is respectively mapped to a field type.
3. The method of claim 2, wherein the determining the field type of the field information mapping comprises:
and determining the field type of the field information mapping by inquiring the mapping relation table.
4. The method of claim 1, wherein prior to storing the data in the storage space corresponding to the field type, the method further comprises:
determining a field type corresponding to each field information in the data;
determining a storage space in the database table respectively corresponding to each field type;
the storing the data into a storage space corresponding to the field type in a database table includes:
respectively storing each field information in the data into corresponding storage space in the database table; and/or the presence of a gas in the gas,
when storing the data in the storage space, if the data is stored in the storage space, the acquired data is used for overwriting the stored data.
5. The method of claim 1, wherein:
the database comprises a plurality of database tables with at least partially same storage structures; wherein each database table is used for storing data collected from one target data source.
6. The method according to any one of claims 1 to 5,
the field type includes: a general field and a specific field; wherein,
the general field is used for mapping the same field between target data sources of different data structures;
the specific fields are used for mapping different fields between target data sources of different data structures.
7. The method of claim 6,
the field type further includes: an extension field; wherein,
and the extension field is used for mapping the newly extended field in the target data source.
8. A data storage device, comprising:
the acquisition module is used for acquiring data from a target data source;
the query module is used for determining the field type mapped by the field information according to the field information in the data;
and the storage module is used for storing the data in a database table corresponding to the target data source into a storage space corresponding to the field type.
9. A data storage device, comprising: at least one processor, and at least one memory, bus connected with the processor; the processor and the memory complete mutual communication through the bus; the processor is configured to invoke program instructions in the memory to perform the data storage method of any of claims 1 to 7.
10. A storage medium storing one or more programs, the one or more programs being executable by one or more processors to implement the data storage method of any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910883658.4A CN112527792A (en) | 2019-09-18 | 2019-09-18 | Data storage method, device, equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910883658.4A CN112527792A (en) | 2019-09-18 | 2019-09-18 | Data storage method, device, equipment and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112527792A true CN112527792A (en) | 2021-03-19 |
Family
ID=74975229
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910883658.4A Pending CN112527792A (en) | 2019-09-18 | 2019-09-18 | Data storage method, device, equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112527792A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113643110A (en) * | 2021-07-14 | 2021-11-12 | 多点生活(成都)科技有限公司 | Configurable financial unified settlement system |
| CN114489497A (en) * | 2022-01-14 | 2022-05-13 | 深圳市汇川技术股份有限公司 | Data mapping method, server and computer readable storage medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160162480A1 (en) * | 2014-12-03 | 2016-06-09 | Hans-Peter Schaerges | Adaptive computerized mapping technique in database systems |
| CN106547786A (en) * | 2015-09-22 | 2017-03-29 | 阿里巴巴集团控股有限公司 | A kind of date storage method and device |
| CN108446283A (en) * | 2017-02-16 | 2018-08-24 | 杭州海康威视数字技术股份有限公司 | Date storage method and device |
| CN108710667A (en) * | 2018-05-15 | 2018-10-26 | 成都宇友科技有限公司 | A kind of character types conversion method based on big data |
| CN109739867A (en) * | 2018-12-29 | 2019-05-10 | 北京航天数据股份有限公司 | A kind of industry metadata management method and system |
-
2019
- 2019-09-18 CN CN201910883658.4A patent/CN112527792A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160162480A1 (en) * | 2014-12-03 | 2016-06-09 | Hans-Peter Schaerges | Adaptive computerized mapping technique in database systems |
| CN106547786A (en) * | 2015-09-22 | 2017-03-29 | 阿里巴巴集团控股有限公司 | A kind of date storage method and device |
| CN108446283A (en) * | 2017-02-16 | 2018-08-24 | 杭州海康威视数字技术股份有限公司 | Date storage method and device |
| CN108710667A (en) * | 2018-05-15 | 2018-10-26 | 成都宇友科技有限公司 | A kind of character types conversion method based on big data |
| CN109739867A (en) * | 2018-12-29 | 2019-05-10 | 北京航天数据股份有限公司 | A kind of industry metadata management method and system |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113643110A (en) * | 2021-07-14 | 2021-11-12 | 多点生活(成都)科技有限公司 | Configurable financial unified settlement system |
| CN114489497A (en) * | 2022-01-14 | 2022-05-13 | 深圳市汇川技术股份有限公司 | Data mapping method, server and computer readable storage medium |
| CN114489497B (en) * | 2022-01-14 | 2024-05-28 | 深圳市汇川技术股份有限公司 | Data mapping method, server side and computer readable storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110704037B (en) | Rule engine implementation method and device | |
| JP6535031B2 (en) | Data query method and apparatus | |
| CN107239479B (en) | Block chain based data storage and query method and device | |
| CN109857755B (en) | Rule checking method and device | |
| CN106547784B (en) | Data splitting and storing method and device | |
| CN111813805A (en) | Data processing method and device | |
| CN108268609B (en) | File path establishing and accessing method and device | |
| CN112527792A (en) | Data storage method, device, equipment and storage medium | |
| CN114372064B (en) | Data processing apparatus, method, computer readable medium and processor | |
| CN111784468A (en) | Account association method and device and electronic equipment | |
| CN114138745A (en) | Data integration method and device, storage medium and processor | |
| CN110019497B (en) | Data reading method and device | |
| CN110825764A (en) | SQL script generation method, system, storage medium and processor | |
| CN112491943B (en) | Data request method, device, storage medium and electronic equipment | |
| CN107220265B (en) | Database statement compiling and executing method and device | |
| CN112541001A (en) | Data query method, device, storage medium and equipment | |
| CN108228604B (en) | Model construction method based on memory object, information query method and device | |
| CN114238407A (en) | Pre-compiling method and system based on sub-library and sub-table middleware | |
| CN112749189A (en) | Data query method and device | |
| CN114281461A (en) | Management method, equipment and medium for configurable data source attributes | |
| CN108062329B (en) | Data import method and device | |
| CN113761400A (en) | Access request forwarding method, device and equipment | |
| CN111143711A (en) | Object searching method and system | |
| CN107078919B (en) | Method, device and equipment for acquiring reliability configuration strategy | |
| CN111368146A (en) | Path information query method and device, storage medium and processor |
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 | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20210319 |