CN112328704A - Method, system, computer equipment and storage medium for realizing multi-data source combined query - Google Patents

Method, system, computer equipment and storage medium for realizing multi-data source combined query Download PDF

Info

Publication number
CN112328704A
CN112328704A CN202011209584.5A CN202011209584A CN112328704A CN 112328704 A CN112328704 A CN 112328704A CN 202011209584 A CN202011209584 A CN 202011209584A CN 112328704 A CN112328704 A CN 112328704A
Authority
CN
China
Prior art keywords
platform
query
grade
authority
platforms
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202011209584.5A
Other languages
Chinese (zh)
Other versions
CN112328704B (en
Inventor
周道华
詹飞
杨陈
周涛
曾俊
黄泓蓓
李武鸿
黄维
伏彦林
刘杰
王小腊
洪江
彭容
罗玉
周林
张明娟
许江泽
吴婷婷
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Chengdu Zhongke Daqi Software Co ltd
Original Assignee
Chengdu Zhongke Daqi Software Co ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Chengdu Zhongke Daqi Software Co ltd filed Critical Chengdu Zhongke Daqi Software Co ltd
Priority to CN202011209584.5A priority Critical patent/CN112328704B/en
Publication of CN112328704A publication Critical patent/CN112328704A/en
Application granted granted Critical
Publication of CN112328704B publication Critical patent/CN112328704B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/28Databases characterised by their database models, e.g. relational or object models
    • G06F16/283Multi-dimensional databases or data warehouses, e.g. MOLAP or ROLAP
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D10/00Energy efficient computing, e.g. low power processors, power management or thermal management

Landscapes

  • Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Computational Linguistics (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

The invention discloses a method, a system, computer equipment and a storage medium for realizing the joint query of a plurality of data sources, wherein the method comprises the following steps: receiving a data query instruction sent by a first platform; acquiring the inquiry authority of the first platform to obtain the types of other platforms which the first platform has authority to inquire; converting the data query instruction into a conversion query instruction corresponding to the platform type; sending a corresponding conversion query instruction to other platforms; and obtaining query results of other platforms, converting the query results and sending the converted query results to the first platform. The invention can realize the query of various data sources by the query data conversion of the total number bin platform.

Description

Method, system, computer equipment and storage medium for realizing multi-data source combined query
Technical Field
The present invention relates to the field of data storage, and in particular, to a method, system, computer device, and storage medium for implementing a multi-data source joint query.
Background
The data warehouse platform is a core module for data management, bears the functions of data processing and business in the data management process, and is dedicated to: (1) and constructing a uniform data classification system for managing all service data in a catalogue manner, and facilitating classification, search, evaluation and use of the data. (2) And constructing a unified data standard system, based on national or industrial standards, for standardizing each row of data and the specific value of each field, and improving the data quality and the usability. (3) A unified data model system is built, an enterprise data layered system is built from top to bottom through standard definition and data modeling, an enterprise data common layer and a subject library are precipitated, data circulation, sharing, creation and innovation are facilitated, data use efficiency is improved, and data redundancy, chaos, isolation, inconsistency, spurious and the like are greatly reduced. However, in the prior art, one total number bin platform manages a plurality of other fractional bin platforms, and data query needs also exist among the fractional bin platforms, on the premise that the total number bin platform has authority; however, the types of databases of the respective fractional warehouse platforms are different, so that the languages used by the fractional warehouse platforms are also different, which results in that the query codes used by the fractional warehouse platform cannot be accepted by other fractional warehouse platforms, and thus, the multi-data source joint query cannot be performed. Therefore, it is an urgent problem in the art to provide a method, a system, a computer device and a storage medium for implementing a joint query of multiple data sources.
Disclosure of Invention
It is an object of the present invention to overcome the deficiencies of the prior art and to provide a method, system, computer device and storage medium related to enabling a federated query of multiple data sources.
The purpose of the invention is realized by the following technical scheme:
the first aspect of the present invention provides a method for implementing a multiple data source joint query, including the following steps:
receiving a data query instruction sent by a first platform;
acquiring the inquiry authority of the first platform to obtain the types of other platforms which the first platform has authority to inquire;
converting the data query instruction into a conversion query instruction corresponding to the platform type;
sending a corresponding conversion query instruction to other platforms;
and obtaining query results of other platforms, converting the query results and sending the converted query results to the first platform.
Further, the type is a database type of the platform, including Mysql, Oracal, Hive.
Further, the method for setting the query authority comprises the following steps:
setting authority according to the self grade of the platform, wherein the high-grade platform has inquiry authority to the low-grade platform; and/or
And selecting other platforms with the authority for inquiring the platform according to the self setting of the platform.
Further, the levels are related to unit levels, including country level, provincial level, city level, and district level.
In a second aspect of the present invention, a system for implementing a multiple data source join query is provided, including:
the query instruction receiving module: the system comprises a first platform, a second platform and a data query command, wherein the first platform is used for receiving the data query command sent by the first platform;
a platform type acquisition module: the system comprises a first platform, a second platform and a third platform, wherein the first platform is used for acquiring the inquiry authority of the first platform and acquiring the types of other platforms which the first platform has authority to inquire;
the instruction conversion module: the conversion query instruction is used for converting the data query instruction into a conversion query instruction corresponding to the platform type;
a conversion instruction query module: the system is used for sending a corresponding conversion query instruction to other platforms;
the query result sending module: and the query result is used for obtaining the query results of other platforms, converting the query results and sending the converted query results to the first platform.
Further, the type is a database type of the platform, including Mysql, Oracal, Hive.
Further, the method for setting the query authority comprises the following steps:
setting authority according to the self grade of the platform, wherein the high-grade platform has inquiry authority to the low-grade platform; and/or
And selecting other platforms with the authority for inquiring the platform according to the self setting of the platform.
Further, the levels are related to unit levels, including country level, provincial level, city level, and district level.
In a third aspect of the invention, a computer device is provided, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the method when executing the computer program.
In a fourth aspect of the invention, a computer-readable storage medium is provided, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method.
The invention has the beneficial effects that:
(1) in an exemplary embodiment of the invention, the data processing method is suitable for a total number bin platform, and comprises the steps of firstly receiving data query instructions of other fraction bin platforms, namely a first platform, then determining the types of the other fraction bin platforms to be queried according to query requirements and query permissions of the first platform, then converting the data query instructions sent by the first platform according to the types, converting the data query instructions into conversion query instructions which can be adapted to the other platforms, then sending the conversion query instructions to the corresponding other platforms, after receiving the recognizable conversion query instructions, carrying out data query on the current number bin platform by the other platforms, then sending query results to the total number bin platform, and converting the query results into query results which can be recognized by the first platform by the total number bin platform and then sending the query results to the first platform. By adopting the mode, the query of various data sources can be realized through the query data conversion of the total number bin platform.
(2) In yet another exemplary embodiment of the present invention, the data transformation is performed according to a database type of the platform.
(3) In another exemplary embodiment of the present invention, a method for setting query authority includes: setting authority according to the self grade of the platform, wherein the high-grade platform has inquiry authority to the low-grade platform; and selecting other platforms with the authority for inquiring the platform according to the self setting of the platform.
(4) In yet another exemplary embodiment of the present invention, the levels are related to unit levels, including country level, province level, city level, district level.
Drawings
FIG. 1 is a schematic diagram of a platform architecture on which a method according to an exemplary embodiment of the present invention is based;
fig. 2 is a flowchart of a method disclosed in an exemplary embodiment of the invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in this application and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.
It is to be understood that although the terms first, second, third, etc. may be used herein to describe various information, such information should not be limited to these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope of the present application. The word "if" as used herein may be interpreted as "at … …" or "when … …" or "in response to a determination", depending on the context.
In addition, the technical features involved in the different embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
Referring to fig. 1, fig. 1 shows a connection diagram of a platform on which the method for implementing a multiple data source joint query according to the present invention is provided, where the connection diagram includes a total number bin platform and a plurality of fraction bin platforms connected thereto, the total number bin platform not only provides data transceiving, data development, and data cleansing for the fraction bin platforms, but also implements the data source joint query function mentioned in the following exemplary embodiments, so as to facilitate the total query of one fraction bin platform (hereinafter, referred to as a first platform) to another fraction bin platform (hereinafter, referred to as another platform).
Referring to fig. 2, fig. 2 is a flowchart illustrating a method for implementing a multiple data source join query according to an exemplary embodiment of the present invention, which specifically includes the following steps:
receiving a data query instruction sent by a first platform;
acquiring the inquiry authority of the first platform to obtain the types of other platforms which the first platform has authority to inquire;
converting the data query instruction into a conversion query instruction corresponding to the platform type;
sending a corresponding conversion query instruction to other platforms;
and obtaining query results of other platforms, converting the query results and sending the converted query results to the first platform.
Specifically, the method of the exemplary embodiment is applicable to data processing of the total number bin platform, and includes receiving a data query instruction of another fractional bin platform, that is, a first platform, determining a type of the other fractional bin platform to be queried according to a query requirement and a query authority of the first platform, converting the data query instruction sent by the first platform according to the type, converting the data query instruction into a conversion query instruction which can be adapted to the other platform, sending the conversion query instruction to the corresponding other platform, performing data query on the current number bin platform after the other platform receives the recognizable conversion query instruction, sending a query result to the total number bin platform, and sending the query result to the first platform after the total number bin platform converts the query result into a query result which can be recognized by the first platform. By adopting the mode, the query of various data sources can be realized through the query data conversion of the total number bin platform.
Preferably, in an exemplary embodiment, the type is a database type of the platform, including Mysql, Oracal, Hive.
Preferably, in an exemplary embodiment, the method for setting the query right includes:
setting authority according to the self grade of the platform, wherein the high-grade platform has inquiry authority to the low-grade platform; and/or
And selecting other platforms with the authority for inquiring the platform according to the self setting of the platform.
The first way is to set the query authority according to the characteristics of the platform itself, that is, the high level can query the low level, and in a preferred exemplary embodiment, the level is related to the unit level, including the country level, the provincial level, the city level, and the district level, that is, the level can be related to the unit of the corresponding database; in yet another exemplary embodiment, the level may be set according to the level of the company's internal department. The second mode is self-setting of a plurality of warehouse platforms, and can be provided for other platforms to carry out data query.
The same inventive concept as the above exemplary embodiment, and yet another exemplary embodiment of the present invention discloses a system for implementing a multiple data source join query, including:
the query instruction receiving module: the system comprises a first platform, a second platform and a data query command, wherein the first platform is used for receiving the data query command sent by the first platform;
a platform type acquisition module: the system comprises a first platform, a second platform and a third platform, wherein the first platform is used for acquiring the inquiry authority of the first platform and acquiring the types of other platforms which the first platform has authority to inquire;
the instruction conversion module: the conversion query instruction is used for converting the data query instruction into a conversion query instruction corresponding to the platform type;
a conversion instruction query module: the system is used for sending a corresponding conversion query instruction to other platforms;
the query result sending module: and the query result is used for obtaining the query results of other platforms, converting the query results and sending the converted query results to the first platform.
Preferably, in an exemplary embodiment, the type is a database type of the platform, including Mysql, Oracal, Hive.
Preferably, in an exemplary embodiment, the method for setting the query right includes:
setting authority according to the self grade of the platform, wherein the high-grade platform has inquiry authority to the low-grade platform; and/or
And selecting other platforms with the authority for inquiring the platform according to the self setting of the platform.
More preferably, in an exemplary embodiment, the levels are associated with unit levels, including country level, province level, city level, district level.
Based on the preferred exemplary embodiments of the method described above, a further exemplary embodiment of the invention provides a computer arrangement comprising a memory, a processor and a computer program stored on the memory and executable on the processor, which when executing the computer program performs the steps of the method.
Based on the preferred exemplary embodiment of the method described above, a further exemplary embodiment of the invention provides a computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method described.
Based on such understanding, the technical solutions of the present embodiments may be essentially implemented or make a contribution to the prior art, or may be implemented in the form of a software product stored in a storage medium and including several instructions for causing an apparatus to execute all or part of the steps of the methods according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
It is to be understood that the above-described embodiments are illustrative only and not restrictive of the broad invention, and that various other modifications and changes in light thereof will be suggested to persons skilled in the art based upon the above teachings. And are neither required nor exhaustive of all embodiments. And obvious variations or modifications of the invention may be made without departing from the spirit or scope of the invention.

Claims (10)

1. The method for realizing the joint query of the multiple data sources is characterized in that: the method comprises the following steps:
receiving a data query instruction sent by a first platform;
acquiring the inquiry authority of the first platform to obtain the types of other platforms which the first platform has authority to inquire;
converting the data query instruction into a conversion query instruction corresponding to the platform type;
sending a corresponding conversion query instruction to other platforms;
and obtaining query results of other platforms, converting the query results and sending the converted query results to the first platform.
2. The method for implementing multi-data source joint query according to claim 1, wherein: the type is a database type of the platform, and comprises Mysql, Oracal and Hive.
3. The method for implementing multi-data source joint query according to claim 1, wherein: the method for setting the query authority comprises the following steps:
setting authority according to the self grade of the platform, wherein the high-grade platform has inquiry authority to the low-grade platform; and/or
And selecting other platforms with the authority for inquiring the platform according to the self setting of the platform.
4. The method for implementing multi-data source joint query according to claim 3, wherein: the grades are related to unit grades, including country grade, provincial grade, city grade, and district grade.
5. The system for realizing the joint query of the multiple data sources is characterized in that: the method comprises the following steps:
the query instruction receiving module: the system comprises a first platform, a second platform and a data query command, wherein the first platform is used for receiving the data query command sent by the first platform;
a platform type acquisition module: the system comprises a first platform, a second platform and a third platform, wherein the first platform is used for acquiring the inquiry authority of the first platform and acquiring the types of other platforms which the first platform has authority to inquire;
the instruction conversion module: the conversion query instruction is used for converting the data query instruction into a conversion query instruction corresponding to the platform type;
a conversion instruction query module: the system is used for sending a corresponding conversion query instruction to other platforms;
the query result sending module: and the query result is used for obtaining the query results of other platforms, converting the query results and sending the converted query results to the first platform.
6. The system for implementing multi-data source joint query according to claim 5, wherein: the type is a database type of the platform, and comprises Mysql, Oracal and Hive.
7. The system for implementing multi-data source joint query according to claim 5, wherein: the method for setting the query authority comprises the following steps:
setting authority according to the self grade of the platform, wherein the high-grade platform has inquiry authority to the low-grade platform; and/or
And selecting other platforms with the authority for inquiring the platform according to the self setting of the platform.
8. The system for implementing multi-data source joint query of claim 7, wherein: the grades are related to unit grades, including country grade, provincial grade, city grade, and district grade.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the steps of the method of any of claims 1 to 4 are implemented when the computer program is executed by the processor.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 4.
CN202011209584.5A 2020-11-03 2020-11-03 Method, system, computer device and storage medium for implementing multiple data source joint inquiry Active CN112328704B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011209584.5A CN112328704B (en) 2020-11-03 2020-11-03 Method, system, computer device and storage medium for implementing multiple data source joint inquiry

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011209584.5A CN112328704B (en) 2020-11-03 2020-11-03 Method, system, computer device and storage medium for implementing multiple data source joint inquiry

Publications (2)

Publication Number Publication Date
CN112328704A true CN112328704A (en) 2021-02-05
CN112328704B CN112328704B (en) 2024-02-23

Family

ID=74322997

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011209584.5A Active CN112328704B (en) 2020-11-03 2020-11-03 Method, system, computer device and storage medium for implementing multiple data source joint inquiry

Country Status (1)

Country Link
CN (1) CN112328704B (en)

Citations (20)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101447842A (en) * 2008-09-27 2009-06-03 百视通网络电视技术发展有限责任公司 Distributed digital rights management (DRM) system adopting 2-level framework
CN101464894A (en) * 2008-12-30 2009-06-24 北京中创信测科技股份有限公司 Data query method and system
CN201270520Y (en) * 2008-04-11 2009-07-08 北京亿企通信息技术有限公司 Information monitoring apparatus for instant communication
EP2120171A2 (en) * 2008-05-14 2009-11-18 Algotec Systems Ltd. Methods, systems and a platform for managing medical data records
CN101719934A (en) * 2009-12-11 2010-06-02 杭州华三通信技术有限公司 Method, system and device for displaying uniform summary report on distributed data
CN103152352A (en) * 2013-03-15 2013-06-12 北京邮电大学 Perfect information security and forensics monitoring method and system based on cloud computing environment
CN103309977A (en) * 2013-06-14 2013-09-18 广东电网公司电力科学研究院 Heterogeneous data resource integration method
CN103366312A (en) * 2013-07-15 2013-10-23 国家电网公司 Intelligent transformer substation cloud system
CN103593422A (en) * 2013-11-01 2014-02-19 国云科技股份有限公司 Virtual access management method of heterogeneous database
WO2015005765A2 (en) * 2013-07-11 2015-01-15 Mimos Berhad Security model switching for database management system
CN104539752A (en) * 2014-12-31 2015-04-22 浙江宇视科技有限公司 Access method and system between multiple level domain platforms
CN106997393A (en) * 2017-04-10 2017-08-01 深圳乐信软件技术有限公司 Data query method, device, server and storage medium
CN107741937A (en) * 2016-09-13 2018-02-27 腾讯科技(深圳)有限公司 A kind of data query method and device
CN107818127A (en) * 2017-09-09 2018-03-20 国网浙江省电力公司 A kind of querying method and system for multi-source data
CN108648786A (en) * 2018-05-16 2018-10-12 上海术木医疗科技有限公司 A kind of medical cloud platform data-sharing systems and method based on third party's business
CN108833451A (en) * 2018-09-04 2018-11-16 郑州信大壹密科技有限公司 Multistage managing and control system and management-control method based on domestic safety control platform
CN109981772A (en) * 2019-03-22 2019-07-05 西安电子科技大学 A kind of multiple domain data share exchange platform architecture based on block chain
CN111061766A (en) * 2019-11-27 2020-04-24 上海钧正网络科技有限公司 Business data processing method and device, computer equipment and storage medium
CN111291072A (en) * 2020-01-21 2020-06-16 奇安信科技集团股份有限公司 Session data extraction method, device, computer system and readable storage medium
CN111708761A (en) * 2020-06-18 2020-09-25 浪潮云信息技术股份公司 Partitioned autonomous distributed heterogeneous database management system and method

Patent Citations (20)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN201270520Y (en) * 2008-04-11 2009-07-08 北京亿企通信息技术有限公司 Information monitoring apparatus for instant communication
EP2120171A2 (en) * 2008-05-14 2009-11-18 Algotec Systems Ltd. Methods, systems and a platform for managing medical data records
CN101447842A (en) * 2008-09-27 2009-06-03 百视通网络电视技术发展有限责任公司 Distributed digital rights management (DRM) system adopting 2-level framework
CN101464894A (en) * 2008-12-30 2009-06-24 北京中创信测科技股份有限公司 Data query method and system
CN101719934A (en) * 2009-12-11 2010-06-02 杭州华三通信技术有限公司 Method, system and device for displaying uniform summary report on distributed data
CN103152352A (en) * 2013-03-15 2013-06-12 北京邮电大学 Perfect information security and forensics monitoring method and system based on cloud computing environment
CN103309977A (en) * 2013-06-14 2013-09-18 广东电网公司电力科学研究院 Heterogeneous data resource integration method
WO2015005765A2 (en) * 2013-07-11 2015-01-15 Mimos Berhad Security model switching for database management system
CN103366312A (en) * 2013-07-15 2013-10-23 国家电网公司 Intelligent transformer substation cloud system
CN103593422A (en) * 2013-11-01 2014-02-19 国云科技股份有限公司 Virtual access management method of heterogeneous database
CN104539752A (en) * 2014-12-31 2015-04-22 浙江宇视科技有限公司 Access method and system between multiple level domain platforms
CN107741937A (en) * 2016-09-13 2018-02-27 腾讯科技(深圳)有限公司 A kind of data query method and device
CN106997393A (en) * 2017-04-10 2017-08-01 深圳乐信软件技术有限公司 Data query method, device, server and storage medium
CN107818127A (en) * 2017-09-09 2018-03-20 国网浙江省电力公司 A kind of querying method and system for multi-source data
CN108648786A (en) * 2018-05-16 2018-10-12 上海术木医疗科技有限公司 A kind of medical cloud platform data-sharing systems and method based on third party's business
CN108833451A (en) * 2018-09-04 2018-11-16 郑州信大壹密科技有限公司 Multistage managing and control system and management-control method based on domestic safety control platform
CN109981772A (en) * 2019-03-22 2019-07-05 西安电子科技大学 A kind of multiple domain data share exchange platform architecture based on block chain
CN111061766A (en) * 2019-11-27 2020-04-24 上海钧正网络科技有限公司 Business data processing method and device, computer equipment and storage medium
CN111291072A (en) * 2020-01-21 2020-06-16 奇安信科技集团股份有限公司 Session data extraction method, device, computer system and readable storage medium
CN111708761A (en) * 2020-06-18 2020-09-25 浪潮云信息技术股份公司 Partitioned autonomous distributed heterogeneous database management system and method

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
邓志宏 等: "粮食企业仓库业务管理系统的设计与实现", 《中小企业管理与科技》, no. 11, pages 291 - 292 *

Also Published As

Publication number Publication date
CN112328704B (en) 2024-02-23

Similar Documents

Publication Publication Date Title
CN108932313B (en) Data processing method and device, electronic equipment and storage medium
US8103704B2 (en) Method for database consolidation and database separation
CN111563101B (en) Execution plan optimization method, device, equipment and storage medium
US20160092596A1 (en) Database migration method and apparatus
US7774301B2 (en) Use of federation services and transformation services to perform extract, transform, and load (ETL) of unstructured information and associated metadata
US9342572B2 (en) Workflow processing system and method with database system support
CN109522312A (en) A kind of data processing method, device, server and storage medium
CN109815254B (en) Cross-region task scheduling method and system based on big data
CN102349050A (en) Creation of a data store
CN112417227B (en) Real-time data storage and query method based on hash table and red-black tree
CN111414352A (en) Database information management method and device
WO2023125718A1 (en) Data query method and system based on knowledge graph, and device and storage medium
CN104077369A (en) Multi-dimension data matching device and method
CN108073641B (en) Method and device for querying data table
CN112328704A (en) Method, system, computer equipment and storage medium for realizing multi-data source combined query
Pedrozo et al. A tool for automatic index selection in database management systems
CN106469224A (en) A kind of expansible data model for SaaS platform
CN106372121A (en) Server and data processing method
CN113190550B (en) Organization structure authority distribution method based on tree structure
CN111538795A (en) Intelligent interaction system of relational database and object database
EP4328759A1 (en) Storing and querying knowledge graphs in column stores
CN107241299B (en) Method and device for controlling and managing authority of network disk
CN108388485A (en) A kind of big data, which is accidentally deleted, gives processing system for change
US20240070136A1 (en) Storing and querying knowledge graphs in column stores using a global dictionary
US20240320208A1 (en) Storing and querying knowledge graphs in column stores using a global dictionary

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