CN111400281B - GIS data quality inspection and storage method for OSS object storage - Google Patents
GIS data quality inspection and storage method for OSS object storage Download PDFInfo
- Publication number
- CN111400281B CN111400281B CN202010182804.3A CN202010182804A CN111400281B CN 111400281 B CN111400281 B CN 111400281B CN 202010182804 A CN202010182804 A CN 202010182804A CN 111400281 B CN111400281 B CN 111400281B
- Authority
- CN
- China
- Prior art keywords
- data packet
- quality inspection
- warehousing
- fme
- gis data
- 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.)
- Expired - Fee Related
Links
- 238000007689 inspection Methods 0.000 title claims abstract description 86
- 238000000034 method Methods 0.000 title claims abstract description 33
- 238000004806 packaging method and process Methods 0.000 claims description 6
- 238000010276 construction Methods 0.000 claims description 4
- 238000003908 quality control method Methods 0.000 claims description 3
- 235000013410 fast food Nutrition 0.000 claims description 2
- 238000005516 engineering process Methods 0.000 abstract description 6
- 230000008569 process Effects 0.000 abstract description 5
- 230000009286 beneficial effect Effects 0.000 description 9
- 230000008901 benefit Effects 0.000 description 3
- 230000007547 defect Effects 0.000 description 3
- 238000007726 management method Methods 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000005538 encapsulation Methods 0.000 description 1
- 238000000265 homogenisation Methods 0.000 description 1
- 230000001737 promoting effect Effects 0.000 description 1
- 230000009466 transformation Effects 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
- G06F16/21—Design, administration or maintenance of databases
-
- 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
- G06F16/21—Design, administration or maintenance of databases
- G06F16/217—Database tuning
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/242—Query formulation
- G06F16/2433—Query languages
Landscapes
- Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Mathematical Physics (AREA)
- Computational Linguistics (AREA)
- Data Exchanges In Wide-Area Networks (AREA)
- General Factory Administration (AREA)
Abstract
The invention provides a GIS data quality inspection and storage method for OSS object storage, which comprises the following steps: uploading the GIS data packet to an OSS; constructing an FME service module; integrating the FME service module into API service supporting distributed and OSS object storage; recording the GIS data packet which is uploaded successfully into a control table, and setting the processing state as unprocessed; and searching the unprocessed GIS data packet in the control table, calling the API service according to the processing type corresponding to the GIS data packet to execute a corresponding FME service module, and performing quality inspection and warehousing processing on the GIS data packet by using the FME service module. The technologies such as OSS and distributed technologies adopted by the design are utilized to realize flexible scheduling of resources and improve the processing capacity and throughput of the system as required, the process of quality inspection and warehousing of the GIS data of the user is effectively simplified, the use threshold of the user is reduced, the user operation is simpler, and the working efficiency is improved.
Description
Technical Field
The invention belongs to the technical field of data quality inspection and warehousing, and particularly relates to a GIS data quality inspection and warehousing method for OSS object storage.
Background
The GIS data quality inspection and warehousing are used as core functions, are necessary conditions for promoting modernized construction of a homeland space management system and management capacity, implementation planning and natural resource management and accurate construction, and the existing GIS data quality inspection and warehousing methods have two kinds, one is that a user is connected with a database to be warehoused after completing quality inspection through an application program locally, and the method has the defects that the user must be equipped with expensive auxiliary equipment, install the local application program and master the operation method of the local application program, the user name and the password of the database and other connection information are easy to leak; the other method is that a file server is built at a server side, and a user calls an API or a function module to complete GIS data quality inspection and warehousing after uploading a data file, so that the method simplifies the operation process and better ensures the database security, but the existing file server has the problems of low read-write speed, low transmission speed, inconvenient sharing, serious resource contention and the like under the environment of multi-user and high concurrent application, does not support distributed and clustered application and flexible resource scheduling, has higher time and technical cost for developing the corresponding API function module, and is not beneficial to comprehensive popularization and application.
Disclosure of Invention
Aiming at the defects in the prior art, the GIS data quality inspection and warehousing method for OSS object storage provided by the invention solves the problems of low efficiency, serious resource contention, potential safety hazard of a database and the like in a multi-user and high-concurrency application environment in the prior art.
In order to achieve the above purpose, the invention adopts the technical scheme that:
the scheme provides a GIS data quality inspection and storage method for OSS object storage, which comprises the following steps:
s1, packaging the GIS data to be quality checked and put in storage, and uploading the GIS data packet to an OSS;
s2, constructing an FME service module according to the uploaded GIS data packet and the corresponding quality inspection and storage rules;
s3, integrating the FME service module into API service supporting distribution and OSS;
s4, judging whether the GIS data packet is uploaded successfully, if so, recording the generated GIS data packet into a control table, setting the processing state as unprocessed, and entering the step S5, otherwise, repeating the step S4;
s5, searching GIS data packets with unprocessed processing states in a control table, calling API (application programming interface) service to execute a corresponding FME (fast food inspection) service module according to the processing types corresponding to the GIS data packets, and performing quality inspection and warehousing processing on the GIS data packets by using the FME service module;
and S6, judging whether all unprocessed GIS data packets in the control table are processed completely, if so, finishing the processing of data quality inspection and warehousing, otherwise, returning to the step S5 until all unprocessed GIS data packets are processed.
The invention has the beneficial effects that: the invention fully utilizes OSS technology to realize distributed and clustered deployment and application of GIS data quality inspection and warehousing, provides GIS data quality inspection and warehousing in a high-concurrency, distributed and clustered environment, solves the problems of low efficiency, serious resource contention, potential safety hazard of a database and the like in a multi-user and high-concurrency application environment in the prior art, realizes flexible resource scheduling and improves the system processing capacity and throughput as required by utilizing the OSS, distributed and other technologies adopted by the design, effectively simplifies the flow of GIS data quality inspection and warehousing of users, reduces the use threshold of the users, simplifies the operation of the users, and improves the working efficiency.
Further, the step S2 is specifically:
and combining the uploaded GIS data packets and the corresponding quality inspection and warehousing rules thereof, representing a class of combinations by using a code, and constructing an FME service module by using all the combinations to complete the construction of the FME service module, wherein one combination corresponds to one FME service module.
The beneficial effects of the further scheme are as follows: the invention utilizes the FME to modularize the GIS data quality inspection and warehousing rules, and randomly combines the rules to form a corresponding FME service module according to the requirements, thereby effectively avoiding the repeated development of a system homogenization function module generated by the change of the requirements of a user, and improving the flexibility of the GIS data quality inspection and warehousing through the rule modularization and the combination of the rules.
The step S3 specifically includes:
the method comprises the steps of issuing a constructed FME service module as a request service supporting HTTP and HTTPS by using an FME Server platform, packaging the service into a standard micro service by adopting a micro service framework, and registering the standard micro service to a micro service registration center, so that the FME service module is integrated into an API service supporting distributed and OSS.
The beneficial effects of the further scheme are as follows: the micro-service framework adopted by the design is utilized to carry out encapsulation transformation aiming at the defects of single-user or localized operation of the FME service module, the FME service module is operated under a multi-user and high-concurrency environment, the resource utilization rate is improved through resource flexible scheduling, and the system high availability, the system processing capacity and the throughput are improved as required by utilizing the distributed characteristic.
Further, the information of the control table in step S4 includes: the method comprises the steps of user name, data packet address, data packet uploading time, data packet processing type, data packet processing state, data packet quality inspection starting time, GIS data packet quality inspection ending time, data packet quality inspection result, data packet warehousing starting time, data packet warehousing ending time and data packet warehousing result.
The beneficial effects of the further scheme are as follows: the invention can effectively realize the stable, efficient and orderly operation of the GIS data quality inspection and warehousing under the multi-user and high-concurrency environment through the control table, provides support for dynamically outputting the progress and process information of the GIS data quality inspection and warehousing, and has the particularly important function under the conditions of multiple users, high concurrency, large data volume, complex quality inspection and warehousing and long time consumption.
And the data packet processing type is used for generating an FME service template according to the quality inspection and warehousing rule corresponding to the data packet.
The beneficial effects of the further scheme are as follows: aiming at the characteristics of uncertainty, diversity and complexity of quality inspection and warehousing rules required by different data, on the basis of the step S2, codes are used for representing the quality inspection and warehousing rules required by each type of data, namely the data packet processing type, so that the readability of the quality inspection and warehousing rules is improved, the identification and the use are easier, and the operation and the deployment of a system are more facilitated.
Still further, the packet processing state includes: the method comprises five states of unprocessed data packets, processed data packets, failed quality inspection of the data packets, failed storage of the data packets and successful storage of the data packets.
The beneficial effects of the further scheme are as follows: the invention can effectively identify the progress of quality inspection and warehousing of the data packet according to the processing state of the data packet, and provides support for a user to dynamically master the quality inspection and warehousing processing processes of the data packet.
Further, in step S5, the FME service module is used to perform quality inspection and warehousing on the data, which specifically includes:
a1, acquiring control table information of a GIS data packet to be quality inspected and put in storage, and setting the processing state as processing;
a2, according to the data packet file information in the control table information, automatically caching GIS data packets from OSS to the local temporary directory of the server where the FME service module is executed;
a3, quality inspection is carried out on the cache data packet by utilizing an FME service template, whether the cache data pass the quality inspection or not is judged, if yes, the step A4 is carried out, and if not, the step A6 is carried out;
a4, recording the quality inspection result in the control table, updating the data packet processing state, and performing warehousing processing on the cache data packet by using an FME service template according to API service;
a5, judging whether the warehousing processing is finished, if so, recording warehousing information, and entering the step A7, otherwise, recording warehousing error information, and entering the step A7;
a6, recording quality control error information in the control table, updating the processing state of the data packet, and entering the step A7;
and A7, deleting the cache data packet and finishing executing the FME service template.
The beneficial effects of the further scheme are as follows: the invention utilizes the FME service module to carry out quality inspection and warehousing processing on the data, realizes the running and automatic processing of GIS data quality inspection and warehousing at the server end, does not need to install any software and configure expensive hardware, and can finish the quality inspection and warehousing of the data by uploading the data packet which is consistent with the processing type through the browser according to the requirement of the user, thereby greatly simplifying the flow of the GIS data quality inspection and warehousing, reducing the use threshold of the user, leading the user to operate more simply and improving the working efficiency.
Still further, when the processing state is set in the step a1 as being processed, the SQL statement is integrated into the FME service module, and it is ensured that the GIS packet is executed once and only once.
The beneficial effects of the further scheme are as follows: in order to ensure that the quality inspection and warehousing of GIS data are prevented from running disorderly and repeatedly in a multi-user and high-concurrency environment, the invention designs that SQL sentences correctly acquire the information of the data packet to be processed from the control table information of the GIS data packet to be inspected and warehoused, and integrate the SQL sentences into an FME service module, thereby realizing the automatic and intelligent running of the FME service module and the GIS data quality inspection and warehousing, and fully exerting the advantages of the invention.
Drawings
FIG. 1 is a flow chart of the method of the present invention.
Fig. 2 is a flow chart of quality inspection and warehousing processing of data by using an FME service module in the present invention.
Detailed Description
The following description of the embodiments of the present invention is provided to facilitate the understanding of the present invention by those skilled in the art, but it should be understood that the present invention is not limited to the scope of the embodiments, and it will be apparent to those skilled in the art that various changes may be made without departing from the spirit and scope of the invention as defined and defined in the appended claims, and all matters produced by the invention using the inventive concept are protected.
Examples
As shown in fig. 1, the present invention provides a GIS data quality inspection and storage method for OSS object storage, which includes:
s1, packaging the GIS data to be quality checked and put in storage, and uploading the GIS data packet to an OSS;
s2, constructing an FME service module according to the uploaded GIS data packet and the corresponding quality inspection and storage rules;
s3, integrating the FME service module to support distributed and OSS API service;
s4, judging whether the GIS data packet is uploaded successfully, if so, recording the generated GIS data packet into a control table, setting the processing state as unprocessed, and entering the step S5, otherwise, repeating the step S4;
s5, searching the GIS data packet with unprocessed processing state in the control table, calling API service to execute a corresponding FME service module according to the processing type corresponding to the GIS data packet, and performing quality inspection and warehousing processing on the GIS data packet by using the FME service module;
and S6, judging whether all unprocessed GIS data packets in the control table are processed completely, if so, finishing the processing of data quality inspection and warehousing, otherwise, returning to the step S5 until all unprocessed GIS data packets are processed.
In this embodiment, a user packs the GIS data to be subjected to quality inspection and warehousing according to actual conditions, for example, if the GIS data is in a Shape format, the four files of the same name, shx, shp, dbf, and prj, are packed into a zip format; if the GIS data to be checked and put in storage is a single file, packaging can be omitted, such as the files of MapGIS, WP,. WT,. WL, and ArcGIS, mdb.
In this embodiment, the uploaded GIS data packets and the corresponding quality inspection and warehousing rules thereof are combined, one code represents one type of combination, and an FME service module is constructed by using all combinations, wherein one combination corresponds to one FME service module.
In this embodiment, the FME service module constructed by using the FME Server platform is issued as a request service supporting HTTP and HTTPs, and the service is encapsulated as a standard microservice by using a microservice architecture and registered in a microservice registry, thereby integrating the FME service module as an API service supporting distributed and OSS.
In this embodiment, as shown in table 1, the information of the control table includes: the user name, the data packet address, the data packet uploading time, the data packet processing type, the data packet processing state, the data packet quality inspection starting time, the data packet quality inspection ending time, the data packet quality inspection result, the data packet warehousing starting time, the data packet warehousing ending time and the data packet warehousing result.
TABLE 1
In this embodiment, the data packet processing type is used to generate an FME service template according to the quality inspection and warehousing rule corresponding to the data packet.
In this embodiment, the packet processing state includes: the method comprises five states of unprocessed data packets, processed data packets, failed quality inspection of the data packets, failed storage of the data packets and successful storage of the data packets.
As shown in fig. 2, the FME service module is used to perform quality inspection and warehousing on data, and specifically includes:
a1, acquiring control table information of a GIS data packet to be quality inspected and put in storage, and setting the processing state as processing;
a2, according to the data packet file information in the control table information, automatically caching GIS data packets from OSS to the local temporary directory of the server where the FME service module is executed;
a3, quality inspection is carried out on the cache data packet by utilizing an FME service template, whether the cache data pass the quality inspection or not is judged, if yes, the step A4 is carried out, and if not, the step A6 is carried out;
a4, recording the quality inspection result in the control table, updating the data packet processing state, and performing warehousing processing on the cache data packet by using an FME service template according to API service;
a5, judging whether the warehousing processing is finished, if so, recording warehousing information, and entering the step A7, otherwise, recording warehousing error information, and entering the step A7;
a6, recording quality control error information in the control table, updating the processing state of the data packet, and entering the step A7;
and A7, deleting the cache data packet and finishing executing the FME service template.
In this embodiment, control table information of the to-be-inspected and warehoused data packets is acquired, the processing state is set to be in processing, and the FME template is executed under a distributed condition to exert the high concurrency advantage of the OSS in combination with the high concurrency advantage of the OSS.
update control table set FileStatus'
where crown ═ 1 and FileStatus ═ untreated'
returning fid,FileAddress。
Through the design, the GIS data quality inspection and warehousing method under the high-concurrency, distributed and clustered environment is provided, and the problems of complex user operation, high technical requirement, potential safety hazard of the database and low working efficiency in the prior art are solved. The technologies such as OSS and distributed technologies adopted by the design are utilized to realize flexible scheduling of resources and improve the processing capacity and throughput of the system as required, the process of quality inspection and warehousing of the GIS data of the user is effectively simplified, the use threshold of the user is reduced, the user operation is simpler, and the working efficiency is improved.
Claims (8)
1. A GIS data quality inspection and storage method for OSS object storage is characterized by comprising the following steps:
s1, packaging the GIS data to be quality checked and put in storage, and uploading the GIS data packet to an OSS;
s2, constructing an FME service module according to the uploaded GIS data packet and the corresponding quality inspection and storage rules;
s3, integrating the FME service module into API service supporting distribution and OSS;
s4, judging whether the GIS data packet is uploaded successfully, if so, recording the generated GIS data packet into a control table, setting the processing state as unprocessed, and entering the step S5, otherwise, repeating the step S4;
s5, searching GIS data packets with unprocessed processing states in a control table, calling API (application programming interface) service to execute a corresponding FME (fast food inspection) service module according to the processing types corresponding to the GIS data packets, and performing quality inspection and warehousing processing on the GIS data packets by using the FME service module;
and S6, judging whether all unprocessed GIS data packets in the control table are processed completely, if so, finishing the processing of data quality inspection and warehousing, otherwise, returning to the step S5 until all unprocessed GIS data packets are processed.
2. The method for quality inspection and warehousing of GIS data stored for OSS object according to claim 1, wherein the step S2 specifically is:
and combining the uploaded GIS data packets and the corresponding quality inspection and warehousing rules thereof, representing a class of combinations by using a code, and constructing an FME service module according to all the combinations to complete the construction of the FME service module, wherein one combination corresponds to one FME service module.
3. The method for quality inspection and warehousing of GIS data stored for OSS object according to claim 1, wherein the step S3 specifically is:
the method comprises the steps of issuing a constructed FME service module as a request service supporting HTTP and HTTPS by using an FME Server platform, packaging the service into a standard micro service by adopting a micro service framework, and registering the standard micro service to a micro service registration center, so that the FME service module is integrated into an API service supporting distributed and OSS.
4. The method for quality inspection and warehousing of GIS data for OSS object storage according to claim 1, wherein the information of the control table in step S4 includes: the user name, the data packet address, the data packet uploading time, the data packet processing type, the data packet processing state, the data packet quality inspection starting time, the data packet quality inspection ending time, the data packet quality inspection result, the data packet warehousing starting time, the data packet warehousing ending time and the data packet warehousing result.
5. The GIS data quality inspection and warehousing method oriented to OSS object storage according to claim 4, characterized in that the data packet processing type is an FME service template generated according to quality inspection and warehousing rules corresponding to GIS data packets.
6. The OSS object storage oriented GIS data quality inspection and warehousing method of claim 4, wherein the packet processing state comprises: the method comprises three states of unprocessed data packets, processed data packets and failed quality inspection of the data packets.
7. The OSS object storage oriented GIS data quality inspection and warehousing method according to claim 1, wherein in step S5, the FME service module is used to perform quality inspection and warehousing on the data, which specifically includes:
a1, acquiring control table information of a GIS data packet to be quality inspected and put in storage, and setting the processing state as processing;
a2, according to the data packet file information in the control table information, automatically caching GIS data packets from OSS to the local temporary directory of the server where the FME service module is executed;
a3, quality inspection is carried out on the cache data packet by utilizing an FME service template, whether the cache data pass the quality inspection or not is judged, if yes, the step A4 is carried out, and if not, the step A6 is carried out;
a4, recording the quality inspection result in the control table, updating the data packet processing state, and performing warehousing processing on the cache data packet by using an FME service template according to API service;
a5, judging whether the warehousing processing is finished, if so, recording warehousing information, and entering the step A7, otherwise, recording warehousing error information, and entering the step A7;
a6, recording quality control error information in the control table, updating the processing state of the data packet, and entering the step A7;
and A7, deleting the cache data packet and finishing executing the FME service template.
8. The method for quality inspection and warehousing of the GIS data stored facing the OSS object as claimed in claim 7, wherein when the processing status is set to be processing in step a1, the SQL statement is integrated into the FME service module and the GIS data packet is guaranteed to be executed once and only once.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010182804.3A CN111400281B (en) | 2020-03-16 | 2020-03-16 | GIS data quality inspection and storage method for OSS object storage |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010182804.3A CN111400281B (en) | 2020-03-16 | 2020-03-16 | GIS data quality inspection and storage method for OSS object storage |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111400281A CN111400281A (en) | 2020-07-10 |
| CN111400281B true CN111400281B (en) | 2020-10-27 |
Family
ID=71428855
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010182804.3A Expired - Fee Related CN111400281B (en) | 2020-03-16 | 2020-03-16 | GIS data quality inspection and storage method for OSS object storage |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111400281B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111970162B (en) * | 2020-10-26 | 2021-02-02 | 武大吉奥信息技术有限公司 | Heterogeneous GIS platform service central control system under super-integration framework |
| CN116431752A (en) * | 2023-04-28 | 2023-07-14 | 西北核技术研究所 | GIS data quality inspection and warehousing method oriented to distributed storage |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP3336726A1 (en) * | 2016-12-19 | 2018-06-20 | Palantir Technologies Inc. | Systems and methods for facilitating data transformation |
| CN108460107A (en) * | 2018-02-07 | 2018-08-28 | 重庆市地理信息中心 | Survey and draw geography information quality control system |
| US10068002B1 (en) * | 2017-04-25 | 2018-09-04 | Palantir Technologies Inc. | Systems and methods for adaptive data replication |
| CN109299202A (en) * | 2018-08-08 | 2019-02-01 | 中国地质大学（武汉） | A GeoSciML-based Geospatial Data Sharing Method |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11017127B2 (en) * | 2018-01-31 | 2021-05-25 | Seagate Technology Llc | Storage compute appliance with internal data encryption |
-
2020
- 2020-03-16 CN CN202010182804.3A patent/CN111400281B/en not_active Expired - Fee Related
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP3336726A1 (en) * | 2016-12-19 | 2018-06-20 | Palantir Technologies Inc. | Systems and methods for facilitating data transformation |
| US10068002B1 (en) * | 2017-04-25 | 2018-09-04 | Palantir Technologies Inc. | Systems and methods for adaptive data replication |
| CN108460107A (en) * | 2018-02-07 | 2018-08-28 | 重庆市地理信息中心 | Survey and draw geography information quality control system |
| CN109299202A (en) * | 2018-08-08 | 2019-02-01 | 中国地质大学（武汉） | A GeoSciML-based Geospatial Data Sharing Method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111400281A (en) | 2020-07-10 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106778351B (en) | Data desensitization method and device | |
| CN113407362A (en) | SOMEIP communication intermediate layer implementation method and system based on SOA architecture of vehicle-mounted Android system | |
| CN110245029A (en) | A kind of data processing method, device, storage medium and server | |
| CN113467972B (en) | Communication interface construction method and device, computer equipment and storage medium | |
| US20060200802A1 (en) | Systems, methods and architecture for facilitating software access to acceleration technology | |
| CN111400281B (en) | GIS data quality inspection and storage method for OSS object storage | |
| CN111159265B (en) | ETL data migration method and system | |
| CN110069248A (en) | Call method, device, equipment and the computer readable storage medium of interface data | |
| CN112395736A (en) | Parallel simulation job scheduling method of distributed interactive simulation system | |
| CN110647316A (en) | Method and device for generating universal business object, computer equipment and storage medium | |
| WO2015062494A1 (en) | Method and device for sdk uploading and downloading of a file | |
| CN109597611A (en) | Front end data flow control Components Development system, method, equipment and storage medium | |
| CN109739666A (en) | Striding course call method, device, equipment and the storage medium of singleton method | |
| CN112905461A (en) | Method and device for executing automatic interface test case | |
| CN116466983A (en) | Code management device, method, storage medium and electronic device | |
| CN112612427B (en) | Vehicle stop data processing method and device, storage medium and terminal | |
| CN107391272A (en) | The method and terminal of multi-process data interaction | |
| CN101321178A (en) | Portal workflow engine system and its implementing method | |
| CN114217796A (en) | Application rendering method, device and medium based on metadata | |
| CN101969442B (en) | Process running environment perception and migration based network analog framework implementation method | |
| CN112163029A (en) | Virtual database system and query method | |
| CN103077078A (en) | Method for defining state transition in software and application control management object | |
| CN108073389A (en) | A kind of automotive engine system based on script | |
| CN113961194B (en) | Flutter cross-application-based engineering construction method, system, terminal and medium | |
| CN113626001B (en) | API dynamic arrangement method and device based on script |
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 | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20201027 |
|
| CF01 | Termination of patent right due to non-payment of annual fee |