CN111309376B - Data processing method, device, equipment and storage medium - Google Patents
Data processing method, device, equipment and storage medium Download PDFInfo
- Publication number
- CN111309376B CN111309376B CN202010090908.1A CN202010090908A CN111309376B CN 111309376 B CN111309376 B CN 111309376B CN 202010090908 A CN202010090908 A CN 202010090908A CN 111309376 B CN111309376 B CN 111309376B
- Authority
- CN
- China
- Prior art keywords
- data
- chart
- user equipment
- package
- hart
- 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.)
- Active
Links
- 238000003672 processing method Methods 0.000 title claims abstract description 32
- 230000006837 decompression Effects 0.000 claims abstract description 25
- 238000000034 method Methods 0.000 claims abstract description 22
- 238000012545 processing Methods 0.000 claims abstract description 11
- 238000004590 computer program Methods 0.000 claims description 10
- 238000009434 installation Methods 0.000 claims description 7
- 230000009286 beneficial effect Effects 0.000 abstract description 2
- 230000008569 process Effects 0.000 description 4
- 230000009471 action Effects 0.000 description 3
- 230000006978 adaptation Effects 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/70—Software maintenance or management
- G06F8/71—Version control; Configuration management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/901—Indexing; Data structures therefor; Storage structures
Abstract
The invention discloses a data processing method, a device, equipment and a storage medium, wherein the method comprises the following steps: acquiring a chart packet uploaded by user equipment; performing decompression operation on the hart packet to obtain feature data in the hart packet; and recording the characteristic data to an index file, so as to return the characteristic data to the user equipment based on the index file when receiving the operation request of the user equipment for the char packet. According to the method, the feature data in the hart package can be provided for the user equipment without periodically pulling the hart package in the hart warehouse by the chartsvc component, so that waiting of the user equipment for the pulling period of the chartsvc component is avoided, the acquisition efficiency of the feature data in the hart package by the user is relatively ensured, and the operation efficiency of the user for the hart package is improved. In addition, the invention also provides a data processing device, equipment and a storage medium, and the beneficial effects are the same as those described above.
Description
Technical Field
The present invention relates to the field of Kubernetes, and in particular, to a data processing method, apparatus, device, and storage medium.
Background
Kubernetes is an open source for managing containerized applications on multiple hosts in a cloud platform, with the goal of making deploying containerized applications simple and efficient, providing a mechanism for application deployment, planning, updating, and maintenance.
Shown in fig. 1 is a communication schematic of Kubeapps items in the current Kubernetes community. In the Kubernetes cluster, a user can install the hart package in the cluster through Kubeapps and check the characteristic data of the hart package during installation, so that the user can pertinently modify the default configuration in the hart package according to actual requirements during installation of the hart package.
The current Kubeapps implementation method for checking the feature data of the hart package is to regularly pull the hart package in the hart warehouse and decompress the hart package to obtain the feature data of the corresponding hart package, and further store the feature data in a database inside the chartsvc component, so as to provide the feature data of the operated hart package for a user. Because chartsvc components need to periodically pull the hart package in the hart warehouse, after the hart package is uploaded, users need to wait for the end of the pulling period of chartsvc components to acquire the characteristic data in the hart package, and the operation efficiency of the users on the hart package is reduced.
Therefore, the data processing method is provided to relatively ensure the acquisition efficiency of the user to the feature data in the chart package, and further improve the operation efficiency of the user to the chart package, which is a problem to be solved by the person skilled in the art.
Disclosure of Invention
The invention aims to provide a data processing method, a device, equipment and a storage medium, so as to relatively ensure the acquisition efficiency of a user on characteristic data in a chart package and further improve the operation efficiency of the user on the chart package.
In order to solve the technical problems, the present invention provides a data processing method, which is applied to a Chart warehouse, and includes:
Acquiring a chart packet uploaded by user equipment;
Performing decompression operation on the hart packet to obtain feature data in the hart packet;
and recording the characteristic data to an index file, so as to return the characteristic data to the user equipment based on the index file when receiving the operation request of the user equipment for the char packet.
Preferably, before recording the feature data to the index file, the method further comprises:
Acquiring a data structure corresponding to the abstract field in the index file, and adding a target field in the data structure;
Recording the feature data to an index file, comprising:
the feature data is recorded to a target field in the index file.
Preferably, the returning feature data to the user equipment based on the index file includes:
Retrieving an index object corresponding to the char package in an index file;
And acquiring the characteristic data of the target field in the index object, and returning the characteristic data to the user equipment.
Preferably, the returning of the feature data to the user equipment includes:
And returning the characteristic data to the user equipment through the front-end page.
Preferably, when receiving an operation request of the user equipment for the char packet, the method includes:
and when receiving an installation operation request of the user equipment for the chart package.
Preferably, when the Chart warehouse is ChartMuseum, performing a decompression operation on the Chart package to obtain feature data in the Chart package includes:
Performing decompression operation on the hart packet to obtain data of READM.md files and data of values.yaml files in the hart packet;
obtaining a data structure corresponding to the abstract field in the index file, including:
and acquiring a data structure corresponding to Entries fields in the index. Yaml file.
In addition, the invention also provides a data processing device, which is applied to the Chart warehouse and comprises:
The package acquisition module is used for acquiring a chart package uploaded by the user equipment;
The decompression module is used for performing decompression operation on the hart packet to obtain characteristic data in the hart packet;
And the index file recording module is used for recording the characteristic data to an index file so as to return the characteristic data to the user equipment based on the index file when receiving the operation request of the user equipment for the char packet.
Preferably, the method further comprises:
The field adding module is used for obtaining a data structure corresponding to the abstract field in the index file and adding a target field in the data structure;
An index file recording module comprising:
And the field recording module is used for recording the characteristic data to the target field in the index file.
In addition, the invention also provides a Chart warehouse device, which comprises:
A memory for storing a computer program;
a processor for implementing the steps of the data processing method as described above when executing the computer program.
The present invention also provides a computer-readable storage medium having a computer program stored thereon, which when executed by a processor implements the steps of the data processing method as described above.
The data processing method provided by the invention is applied to a Chart warehouse, the Chart warehouse acquires a Chart package uploaded by user equipment, further performs decompression operation on the Chart package to obtain characteristic data therein, further records the characteristic data through an index file, and further returns the characteristic data to the user equipment based on the index file when receiving an operation request of the user equipment on the Chart package. According to the method, the Chart package uploaded to the local of the user equipment is directly decompressed through the Chart warehouse to obtain the characteristic data in the Chart package, and on the basis, when the user equipment needs to operate the Chart package, the characteristic data corresponding to the Chart package can be obtained through accessing the Chart warehouse, so that the characteristic data in the Chart package can be provided for the user equipment without periodically pulling the Chart package in the Chart warehouse by using the chartsvc component, waiting of the user equipment for the chartsvc component pulling period is avoided, the characteristic data obtaining efficiency of the user on the Chart package is relatively ensured, and the operating efficiency of the user on the Chart package is further improved. In addition, the invention also provides a data processing device, equipment and a storage medium, and the beneficial effects are the same as those described above.
Drawings
For a clearer description of embodiments of the present invention, the drawings that are required to be used in the embodiments will be briefly described, it being apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to the drawings without inventive effort for those skilled in the art.
FIG. 1 is a schematic illustration of the communication of Kubeapps items in the Kubernetes community;
FIG. 2 is a flowchart of a data processing method according to an embodiment of the present invention;
FIG. 3 is a flowchart of a data processing method according to an embodiment of the present invention;
FIG. 4 is a flowchart of a data processing method according to an embodiment of the present invention;
fig. 5 is a block diagram of a data processing apparatus according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by a person of ordinary skill in the art without making any inventive effort are within the scope of the present invention.
The current Kubeapps implementation method for checking the feature data of the hart package is to regularly pull the hart package in the hart warehouse and decompress the hart package to obtain the feature data of the corresponding hart package, and further store the feature data in a database inside the chartsvc component, so as to provide the feature data of the operated hart package for a user. Because chartsvc components need to periodically pull the hart package in the hart warehouse, after the hart package is uploaded, users need to wait for the end of the pulling period of chartsvc components to acquire the characteristic data in the hart package, and the operation efficiency of the users on the hart package is reduced.
The core of the invention is to provide a data processing method so as to relatively ensure the acquisition efficiency of the user to the characteristic data in the chart package, thereby improving the operation efficiency of the user to the chart package. Another core of the present invention is to provide a data processing apparatus, a device, and a storage medium.
In order to better understand the aspects of the present invention, the present invention will be described in further detail with reference to the accompanying drawings and detailed description.
Fig. 2 is a flowchart of a data processing method according to an embodiment of the present invention, which is applied to a Chart warehouse. Referring to fig. 2, the specific steps of the data processing method include:
step S10: and acquiring a chart packet uploaded by the user equipment.
It should be noted that, the execution body of this embodiment is a Chart warehouse in Kubernetes, and the Chart warehouse is used to store a Chart package, where a plurality of columns yaml of files are packaged together according to a certain format to form a new package, similar to the rar and zip compressed files. Each chart package represents an independent application in Kubernetes. When the user installs the application in the Kubernetes, the Chart package needs to be uploaded to the Chart warehouse, and then the Chart warehouse can save the Chart package uploaded by the user equipment and provide corresponding file support when the user equipment operates the Chart package. In this step, the Chart repository obtains locally stored Chart packages that are uploaded by the user device.
Step S11: and performing decompression operation on the hart packet to obtain the characteristic data in the hart packet.
After the locally stored hart package is obtained, the hart warehouse further locally performs decompression operation on the hart package to obtain feature data in the hart package, wherein the feature data are data which can be used for describing attribute information of the hart package, a user can know configurable options of the hart package according to the attribute information, and further when the user installs the hart package, the user can configure applications installed based on the hart package in a targeted manner through the configurable options, or when the user views detailed information of the hart package, the description information of the hart package can be displayed to the user more clearly.
The key point of the step is that the Chart warehouse is used as an execution object for executing decompression operation on the Chart package, and further, the characteristic data in the Chart package is obtained locally in the Chart warehouse, that is, the step does not need to provide the local Chart package to the Kubernetes project components outside the Chart warehouse through the Chart warehouse, so that the time cost in the transmission process is relatively reduced.
Step S12: and recording the characteristic data to an index file, so as to return the characteristic data to the user equipment based on the index file when receiving the operation request of the user equipment for the char packet.
After the Chart warehouse performs decompression operation on the Chart package to obtain feature data in the Chart package, the feature data is further recorded into an index file, wherein the index file is a file which is inherent in the Chart warehouse and is used for recording information such as the index position of the Chart package, and the purpose of recording the feature data into the index file is that when an operation request of user equipment on the Chart package is received, the feature data corresponding to the Chart package can be further found on the basis of the index file and returned to the user equipment, so that the user equipment can perform relatively accurate operation on the Chart package.
The data processing method provided by the invention is applied to a Chart warehouse, the Chart warehouse acquires a Chart package uploaded by user equipment, further performs decompression operation on the Chart package to obtain characteristic data therein, further records the characteristic data through an index file, and further returns the characteristic data to the user equipment based on the index file when receiving an operation request of the user equipment on the Chart package. According to the method, the Chart package uploaded to the local of the user equipment is directly decompressed through the Chart warehouse to obtain the characteristic data in the Chart package, and on the basis, when the user equipment needs to operate the Chart package, the characteristic data corresponding to the Chart package can be obtained through accessing the Chart warehouse, so that the characteristic data in the Chart package can be provided for the user equipment without periodically pulling the Chart package in the Chart warehouse by using the chartsvc component, waiting of the user equipment for the chartsvc component pulling period is avoided, the characteristic data obtaining efficiency of the user on the Chart package is relatively ensured, and the operating efficiency of the user on the Chart package is further improved.
On the basis of the foregoing embodiment, as a preferred implementation manner, when receiving an operation request of the user equipment for the char packet, the method includes:
and when receiving an installation operation request of the user equipment for the chart package.
It should be noted that, when the user equipment performs the installation operation on the hart packet, the configuration item in the hart packet needs to be configured according to the feature information of the hart packet, so that when the user equipment receives the installation operation request of the user equipment on the hart packet, the embodiment returns the feature data to the user equipment based on the index file, and the overall reliability of the process of installing the hart packet by the user equipment can be relatively ensured.
Fig. 3 is a flowchart of a data processing method according to an embodiment of the present invention. Referring to fig. 3, the specific steps of the data processing method include:
Step S20: and acquiring a chart packet uploaded by the user equipment.
Step S21: and performing decompression operation on the hart packet to obtain the characteristic data in the hart packet.
Step S22: and obtaining a data structure corresponding to the abstract field in the index file, and adding a target field in the data structure.
It should be noted that, in this embodiment, before the feature data is recorded in the index file, the data structure corresponding to the summary field in the index file is obtained, and then the target field is added in the data structure, where the purpose of adding the target field is to add a new data space for recording the feature data in the data structure corresponding to the summary field of the index file, so as to ensure that the feature data can be recorded in the summary field in the index file relatively reliably.
Step S23: and recording the characteristic data into a target field in the index file, so as to return the characteristic data to the user equipment based on the index file when the operation request of the user equipment for the char packet is received.
It should be noted that, after the target field is added in the data structure corresponding to the abstract field of the index file, the step further records the feature data to the target field in the index file, and because the target field in the data structure further corresponds to the corresponding storage space, the embodiment can relatively ensure that the feature data can be stored independently of other data contents in the abstract field, thereby further ensuring the reliability of recording the feature data in the index file.
On the basis of the foregoing embodiment, as a preferred implementation manner, the returning, to the user device, the feature data based on the index file includes:
Retrieving an index object corresponding to the char package in an index file;
And acquiring the characteristic data of the target field in the index object, and returning the characteristic data to the user equipment.
In this embodiment, the index object corresponding to the chart package operated by the user is retrieved from the index file, and then the feature data of the target field in the index object is obtained, and the feature data is returned to the user device, so that the feature data corresponding to the chart package operated by the user device can be provided relatively accurately under the condition that the target field is added in the abstract field of the index file.
On the basis of the foregoing embodiment, as a preferred implementation manner, the returning feature data to the user equipment includes:
And returning the characteristic data to the user equipment through the front-end page.
It should be noted that, in this embodiment, when feature data is returned to the user device, the feature data is specifically displayed by using a front-end page, so as to ensure the readability of the feature data for the user, thereby further ensuring the efficiency of the user in acquiring the feature data in the chart package.
Fig. 4 is a flowchart of a data processing method according to an embodiment of the present invention. Referring to fig. 4, when the Chart warehouse is ChartMuseum, the specific steps of the data processing method include:
step S30: and acquiring a chart packet uploaded by the user equipment.
Step S31: and (3) performing decompression operation on the hart packet to obtain data of READM.md files and data of values.yaml files in the hart packet.
Step S32: and acquiring a data structure corresponding to Entries fields in the index. Yaml file, and adding a target field in the data structure.
Step S33: and recording the characteristic data into a target field in the index file, so as to return the characteristic data to the user equipment based on the index file when the operation request of the user equipment for the char packet is received.
It should be noted that, the Chart warehouse adopted in the embodiment is ChartMuseum, chartMuseum, which is specifically an open source item implemented by Go language, is used as a warehouse to store the Chart package, the supported back-end storage type includes cloud storage, and provides an API function interface to implement functions of uploading, downloading, viewing and deleting the Chart package, so in the embodiment, the user equipment has higher operability for the Chart package in ChartMuseum, on the basis of this, the characteristic data to the Chart package for executing the decompression operation in the embodiment specifically includes data of READM.md file and data of value.yaml file, wherein the READM.md file includes detailed description information for the Chart package, the value.yaml file includes a series of configuration options, and when the user installs the current Chart package, some configuration can be performed by specifying parameters and corresponding values listed in the file. In addition, the index file in this embodiment is specifically an index. Yaml file, and the summary field in the index. Yaml file is specifically a Entries field, so that in this embodiment, the target field is added in the data structure corresponding to the Entries field. The embodiment relatively ensures that the operation efficiency of the user on the Chart package in ChartMuseum is improved when the Chart warehouse is ChartMuseum.
Fig. 5 is a block diagram of a data processing apparatus according to an embodiment of the present invention. The data processing device provided by the embodiment of the invention comprises:
the package obtaining module 10 is configured to obtain a chart package uploaded by the user equipment;
A decompression module 11, configured to perform a decompression operation on the chart packet to obtain feature data in the chart packet;
The index file recording module 12 is configured to record the feature data to an index file, so as to return the feature data to the user equipment based on the index file when an operation request of the user equipment for the char packet is received.
The data processing device provided by the invention is applied to a Chart warehouse, the Chart warehouse acquires a Chart package uploaded by user equipment, further performs decompression operation on the Chart package to obtain characteristic data therein, further records the characteristic data through an index file, and further returns the characteristic data to the user equipment based on the index file when receiving an operation request of the user equipment on the Chart package. According to the device, the Chart package uploaded to the user equipment by the Chart warehouse is directly decompressed to obtain the characteristic data in the Chart package, and on the basis, when the user equipment needs to operate the Chart package, the characteristic data corresponding to the Chart package can be obtained by accessing the Chart warehouse, so that the device can provide the characteristic data in the Chart package for the user equipment without periodically pulling the Chart package in the Chart warehouse by using the chartsvc component, waiting of the user equipment for the chartsvc component pulling period is avoided, the acquisition efficiency of the characteristic data in the Chart package by the user is relatively ensured, and the operation efficiency of the user for the Chart package is further improved.
As a preferred embodiment, the data processing apparatus further includes:
The field adding module is used for obtaining a data structure corresponding to the abstract field in the index file and adding a target field in the data structure;
An index file recording module comprising:
And the field recording module is used for recording the characteristic data to the target field in the index file.
In addition, the invention also provides a Chart warehouse device, which comprises:
A memory for storing a computer program;
a processor for implementing the steps of the data processing method as described above when executing the computer program.
The Chart warehouse equipment provided by the invention acquires the Chart package uploaded by the user equipment, further performs decompression operation on the Chart package to obtain the characteristic data therein, further records the characteristic data through the index file, and further returns the characteristic data to the user equipment based on the index file when receiving the operation request of the user equipment on the Chart package. The method comprises the steps that the Chart warehouse directly decompresses the Chart package uploaded to the local of the user equipment to obtain the characteristic data in the Chart package, and on the basis, when the user equipment needs to operate the Chart package, the characteristic data corresponding to the Chart package can be obtained through accessing the Chart warehouse, so that the characteristic data in the Chart package can be provided for the user equipment without periodically pulling the Chart package in the Chart warehouse by using a chartsvc component, waiting of the user equipment for the pulling period of the chartsvc component is avoided, the obtaining efficiency of the characteristic data in the Chart package by a user is relatively ensured, and the operating efficiency of the user for the Chart package is further improved.
The present invention also provides a computer-readable storage medium having a computer program stored thereon, which when executed by a processor implements the steps of the data processing method as described above.
The computer readable storage medium provided by the invention is applied to a Chart warehouse, the Chart warehouse acquires a Chart package uploaded by user equipment, further performs decompression operation on the Chart package to obtain characteristic data therein, further records the characteristic data through an index file, and further returns the characteristic data to the user equipment based on the index file when receiving an operation request of the user equipment on the Chart package. The computer readable storage medium directly decompresses the part package uploaded to the local part thereof by the user equipment through the part warehouse to obtain the characteristic data in the part package, and on the basis, when the user equipment needs to operate the part package, the characteristic data corresponding to the part package can be obtained by accessing the part warehouse, so the computer readable storage medium can provide the characteristic data in the part package for the user equipment without periodically pulling the part package in the part warehouse by chartsvc components, thereby avoiding waiting of the user equipment for the chartsvc component pulling period, relatively ensuring the characteristic data obtaining efficiency of the user for the part package, and further improving the operation efficiency of the user for the part package.
The data processing method, the device, the equipment and the storage medium provided by the invention are described in detail. In the description, each embodiment is described in a progressive manner, and each embodiment is mainly described by the differences from other embodiments, so that the same similar parts among the embodiments are mutually referred. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant points refer to the description of the method section. It should be noted that it will be apparent to those skilled in the art that various modifications and adaptations of the invention can be made without departing from the principles of the invention and these modifications and adaptations are intended to be within the scope of the invention as defined in the following claims.
It should also be noted that in this specification, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, 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 one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
Claims (10)
1. A data processing method, applied to a Chart warehouse, comprising:
Acquiring a chart packet uploaded by user equipment;
Performing decompression operation on the hart packet to obtain feature data in the hart packet;
Recording the characteristic data to an index file, and returning the characteristic data to the user equipment based on the index file when receiving an operation request of the user equipment for the chart package;
the Chart warehouse acquires a locally stored Chart packet uploaded by the user equipment;
the feature data is data used for describing the attribute information of the hart packet in the hart packet.
2. The data processing method according to claim 1, wherein before said recording of said feature data to an index file, the method further comprises:
Acquiring a data structure corresponding to the abstract field in the index file, and adding a target field in the data structure;
The recording the characteristic data to an index file comprises the following steps:
And recording the characteristic data to a target field in the index file.
3. The data processing method according to claim 2, wherein returning the feature data to the user device based on the index file includes:
Retrieving an index object corresponding to the chart package in the index file;
And acquiring the characteristic data of the target field in the index object, and returning the characteristic data to the user equipment.
4. A data processing method according to claim 3, wherein said returning said characteristic data to said user equipment comprises:
And returning the characteristic data to the user equipment through a front-end page.
5. The data processing method according to claim 1, wherein when receiving the operation request of the user equipment for the chart packet, the method includes:
And when receiving an installation operation request of the user equipment for the chart package.
6. The data processing method according to any one of claims 2 to 5, wherein when the hart warehouse is ChartMuseum, the performing a decompression operation on the hart packet to obtain feature data in the hart packet includes:
performing decompression operation on the hart packet to obtain data of READM.md files and data of values.yaml files in the hart packet;
the obtaining the data structure corresponding to the abstract field in the index file includes:
and acquiring a data structure corresponding to Entries fields in the index. Yaml file.
7. A data processing apparatus for use in a Chart warehouse, comprising:
The package acquisition module is used for acquiring a chart package uploaded by the user equipment;
the decompression module is used for executing decompression operation on the hart packet to obtain characteristic data in the hart packet;
the index file recording module is used for recording the characteristic data to an index file so as to return the characteristic data to the user equipment based on the index file when receiving an operation request of the user equipment for the chart package;
the Chart warehouse acquires a locally stored Chart packet uploaded by the user equipment;
the feature data is data used for describing the attribute information of the hart packet in the hart packet.
8. The data processing apparatus of claim 7, further comprising:
the field adding module is used for obtaining a data structure corresponding to the abstract field in the index file and adding a target field in the data structure;
The index file recording module comprises:
and the field recording module is used for recording the characteristic data to a target field in the index file.
9. A Chart warehouse facility, comprising:
A memory for storing a computer program;
a processor for implementing the steps of the data processing method according to any one of claims 1 to 6 when executing said computer program.
10. A computer-readable storage medium, on which a computer program is stored, which computer program, when being executed by a processor, implements the steps of the data processing method according to any of claims 1 to 6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010090908.1A CN111309376B (en) | 2020-02-13 | 2020-02-13 | Data processing method, device, equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010090908.1A CN111309376B (en) | 2020-02-13 | 2020-02-13 | Data processing method, device, equipment and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111309376A CN111309376A (en) | 2020-06-19 |
| CN111309376B true CN111309376B (en) | 2024-04-30 |
Family
ID=71156567
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010090908.1A Active CN111309376B (en) | 2020-02-13 | 2020-02-13 | Data processing method, device, equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111309376B (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060156228A1 (en) * | 2004-11-16 | 2006-07-13 | Vizible Corporation | Spatially driven content presentation in a cellular environment |
| CN104346149A (en) * | 2013-07-30 | 2015-02-11 | 商业对象软件有限公司 | Descriptive framework used for data visualization |
| CN109933622A (en) * | 2019-02-26 | 2019-06-25 | 美林数据技术股份有限公司 | A kind of data visualisation system and implementation method |
| CN110018998A (en) * | 2019-04-12 | 2019-07-16 | 深信服科技股份有限公司 | A kind of file management method, system and electronic equipment and storage medium |
| CN110377655A (en) * | 2019-06-10 | 2019-10-25 | 厦门科灿信息技术有限公司 | The method and terminal device that front equipment end data are shown |
| CN110704048A (en) * | 2019-09-29 | 2020-01-17 | 北京浪潮数据技术有限公司 | Application publishing method and related device |
| CN110753121A (en) * | 2019-10-25 | 2020-02-04 | 北京浪潮数据技术有限公司 | Mirror image warehouse deployment method, device, equipment and medium |
-
2020
- 2020-02-13 CN CN202010090908.1A patent/CN111309376B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060156228A1 (en) * | 2004-11-16 | 2006-07-13 | Vizible Corporation | Spatially driven content presentation in a cellular environment |
| CN104346149A (en) * | 2013-07-30 | 2015-02-11 | 商业对象软件有限公司 | Descriptive framework used for data visualization |
| CN109933622A (en) * | 2019-02-26 | 2019-06-25 | 美林数据技术股份有限公司 | A kind of data visualisation system and implementation method |
| CN110018998A (en) * | 2019-04-12 | 2019-07-16 | 深信服科技股份有限公司 | A kind of file management method, system and electronic equipment and storage medium |
| CN110377655A (en) * | 2019-06-10 | 2019-10-25 | 厦门科灿信息技术有限公司 | The method and terminal device that front equipment end data are shown |
| CN110704048A (en) * | 2019-09-29 | 2020-01-17 | 北京浪潮数据技术有限公司 | Application publishing method and related device |
| CN110753121A (en) * | 2019-10-25 | 2020-02-04 | 北京浪潮数据技术有限公司 | Mirror image warehouse deployment method, device, equipment and medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111309376A (en) | 2020-06-19 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106569783B (en) | Method and device for executing task script | |
| CN108037961A (en) | A kind of application program collocation method, device, server and storage medium | |
| KR101083563B1 (en) | Method and System for Managing Database | |
| WO2014160107A2 (en) | Systems and methods for creating or updating an application using a pre-existing application | |
| CN106101256B (en) | Method and apparatus for synchrodata | |
| CN103577599A (en) | Method and device for storing local data through mobile terminal | |
| JP5476326B2 (en) | Web operation recording and reproducing method and apparatus | |
| US8595224B2 (en) | Smart path finding for file operations | |
| US20200356469A1 (en) | Test automation systems and methods using logical identifiers | |
| JPWO2013175560A1 (en) | Information communication system and information conversion method | |
| US7069292B2 (en) | Automatic display method and apparatus for update information, and medium storing program for the method | |
| CN113138781B (en) | CSV configuration updating method and storage medium | |
| CN105187562A (en) | System and method for operating remote file | |
| US9807180B2 (en) | Information processing apparatus, work environment linking method and work environment linking program | |
| US20140109077A1 (en) | Methods and systems for package management | |
| CN111309376B (en) | Data processing method, device, equipment and storage medium | |
| CN105813102A (en) | Automatic testing system and automatic testing method | |
| US8595251B2 (en) | Flexible interface module | |
| CN103870603A (en) | Directory management method and electronic device | |
| JP6313987B2 (en) | File management program, file management method, and file management system | |
| CN111061471B (en) | Method and system for controlling display of interface control element | |
| JP2002182811A (en) | Software support system and computer readable recording medium with support program recorded thereon | |
| KR20160093289A (en) | Method for managing property and system using the same | |
| KR100864581B1 (en) | Method and system for keeping of mobile widget contents | |
| US20120323966A1 (en) | Storage device, server device, storage system, database device, provision method of data, and program |
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 |