CN113177036A - Storage method, query method and display method of monitoring data - Google Patents
Storage method, query method and display method of monitoring data Download PDFInfo
- Publication number
- CN113177036A CN113177036A CN202110400633.1A CN202110400633A CN113177036A CN 113177036 A CN113177036 A CN 113177036A CN 202110400633 A CN202110400633 A CN 202110400633A CN 113177036 A CN113177036 A CN 113177036A
- Authority
- CN
- China
- Prior art keywords
- data
- server
- monitoring data
- monitoring
- relational database
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 118
- 238000000034 method Methods 0.000 title claims abstract description 71
- 238000004891 communication Methods 0.000 claims abstract description 12
- 238000012806 monitoring device Methods 0.000 claims abstract description 11
- 238000004364 calculation method Methods 0.000 claims description 4
- 238000010586 diagram Methods 0.000 description 8
- 238000012986 modification Methods 0.000 description 7
- 230000004048 modification Effects 0.000 description 7
- 238000004590 computer program Methods 0.000 description 4
- 239000000463 material Substances 0.000 description 4
- 238000013499 data model Methods 0.000 description 2
- 238000013500 data storage Methods 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 239000004973 liquid crystal related substance Substances 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000002457 bidirectional effect Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000002688 persistence Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—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
- G06F16/245—Query processing
- G06F16/2455—Query execution
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/25—Integrating or interfacing systems involving database management systems
- G06F16/254—Extract, transform and load [ETL] procedures, e.g. ETL data flows in data warehouses
-
- 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
- G06F16/28—Databases characterised by their database models, e.g. relational or object models
-
- 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
- G06F16/28—Databases characterised by their database models, e.g. relational or object models
- G06F16/284—Relational databases
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 relates to a storage method, a query method and a display method of monitoring data, wherein the storage method of the monitoring data comprises the following steps: the monitoring device generates monitoring data in a monitoring process and is in communication connection with the server, and the method comprises the following steps: s1, the monitoring device transmits the monitoring data to a server through a TCP protocol; the server comprises first data receiving software and second data receiving software; s2, storing the monitoring data in a non-relational database in the server by first data receiving software in the server; and S3, the server persists the monitoring data in the non-relational database into the relational database according to a preset time interval. The invention can monitor and calculate the monitoring value in real time, and realizes data timeliness, storage space reduction and rapid data retrieval.
Description
Technical Field
The invention relates to the technical field of data processing of the Internet of things, in particular to a storage method, a query method and a display method of monitoring data.
Background
The monitoring equipment of the internet of things can generate mass data in the monitoring process, for example, GNSS equipment can generate a relatively rough monitoring value (called as a real-time monitoring value) every two seconds, and a high-precision detection value (called as a resolved monitoring value) can be generated within two hours after software resolving. The real-time monitoring value can reflect the monitoring condition of a site in real time and is an important guarantee for the safety timeliness of a monitoring project, but the real-time monitoring value can generate a large amount of data, occupies a large amount of storage space of a computer and is low in retrieval efficiency in a long period of time.
Therefore, a certain strategy is needed, the real-time monitoring value is fully utilized and the monitoring value is calculated, and the timeliness, the storage space reduction and the rapid data retrieval of the data are realized.
Disclosure of Invention
In view of the above disadvantages and shortcomings of the prior art, the present invention provides a storage method, an inquiry method, and a display method of monitoring data, which solve the technical problems of low utilization rate of computer storage space and low retrieval efficiency.
In order to achieve the purpose, the invention adopts the main technical scheme that:
in a first aspect, an embodiment of the present invention provides a method for storing monitoring data, where monitoring data is generated by a monitoring device in a monitoring process, and the monitoring device is in communication connection with a server, and the method includes:
s1, the monitoring device transmits the monitoring data to a server through a TCP protocol;
the server comprises first data receiving software and second data receiving software;
s2, storing the monitoring data in a non-relational database in the server by first data receiving software in the server;
and S3, the server persists the monitoring data in the non-relational database into the relational database according to a preset time interval.
Preferably, the first and second liquid crystal materials are,
the non-relational database is Redis.
Preferably, the first and second liquid crystal materials are,
the relational database is MySQL.
Preferably, the method further comprises:
and S4, resolving the monitoring data by second data receiving software in the server to obtain corresponding resolving data, and storing the resolving data into a relational database.
The monitoring data is relatively rough data generated by monitoring equipment;
the calculation data is data obtained by calculating the monitoring data.
Preferably, the method further comprises:
and S5, exporting the corresponding SQL file from the monitoring data before the preset time period in the relational database, and deleting the monitoring data before the preset time period.
In a second aspect, this embodiment further provides a method for querying monitoring data, where the monitoring data is stored in a server according to any one of the foregoing methods, and the server is connected to at least one client, where the method for querying monitoring data includes:
a1, receiving a monitoring data instruction inquired by a user, and determining the time corresponding to the monitoring data inquired by the user according to the instruction;
a2, judging whether the time corresponding to the monitoring data inquired by the user is within a preset time period or not;
and A3, if so, acquiring corresponding monitoring data in the relational database according to the instruction.
Preferably, the method further comprises:
a4, if not, determining a corresponding SQL file according to the instruction;
a5, importing the SQL file into a relational database to obtain corresponding monitoring data.
In a third aspect, this embodiment further provides a method for displaying monitoring data, where the monitoring data is stored in a server according to any one of the foregoing methods, the server is connected to at least one client, and the client and the server have an HTTP communication protocol and a Websocket communication protocol; the display method comprises the following steps:
after the client receives a calculation data display instruction input by a user, the client calculates a data time request to the server by adopting an HTTP (hyper text transport protocol) communication protocol;
and the server sends corresponding resolving data to the client according to the data resolving time request and displays the resolving data in an icon form.
Preferably, the method further comprises:
after the server receives a data monitoring request which is carried out by the client in a Websocket mode, the server sends the monitoring data to the client and displays the monitoring data in an icon mode.
The invention has the beneficial effects that: according to the method for storing the monitoring data, the monitoring data are transmitted to the server through the TCP protocol, the monitoring data are firstly stored in non-relational data (such as Redis), the monitoring data are persisted periodically, the monitoring data are converted into hard disk data from memory data, on the premise that the normal operation of the server is guaranteed, the latest real-time data are rapidly stored and retrieved, meanwhile, the relational database is put in storage for a long time, operations such as frequent locking and index modification are not needed on the relational database, and the defects of the relational database in a frequent storage scene are effectively overcome.
According to the method for querying the monitoring data, the monitoring data before the preset time period is exported from the database, the SQL file deletes the content of the SQL file in the data, so that the monitoring data in the latest time period can be queried more quickly while the traceability of the intensive monitoring data is ensured.
According to the display method of the monitoring data, the Websocket is adopted to establish the connection between the client and the server, so that data exchange is carried out in real time, and the front-end browsing performance and the server performance are improved.
Drawings
Fig. 1 is a flowchart of a method for storing monitoring data according to the present invention;
FIG. 2 is a schematic structural diagram of a monitoring data storage method according to the present invention;
FIG. 3 is a schematic diagram of a monitoring data storage method according to the present invention;
FIG. 4 is a flowchart of a monitoring data query method according to the present invention;
FIG. 5 is a schematic diagram of a monitoring data query method according to the present invention;
fig. 6 is a schematic view of a method for displaying monitoring data according to the present invention.
Detailed Description
For the purpose of better explaining the present invention and to facilitate understanding, the present invention will be described in detail by way of specific embodiments with reference to the accompanying drawings.
In order to better understand the above technical solutions, exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention can be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
In a first aspect, referring to fig. 1, an embodiment of the present invention provides a method for storing monitoring data, referring to fig. 2, in which a monitoring device generates monitoring data during a monitoring process, and the monitoring device is communicatively connected to a server, the method includes:
s1, the monitoring device transmits the monitoring data to a server through a TCP protocol;
the server comprises first data receiving software and second data receiving software;
s2, storing the monitoring data in a non-relational database in the server by first data receiving software in the server;
and S3, the server persists the monitoring data in the non-relational database into the relational database according to a preset time interval.
In this embodiment, the data persistence is a general term for converting the data model in the memory into the storage model and converting the storage model into the data model in the memory.
In this embodiment, the relational database: refers to a database that uses a relational model to organize data, which stores data in rows and columns, typically stored on a hard disk. Non-relational database: a non-relational database system for storing and retrieving data generally stores data in a memory at a faster retrieval rate than a relational database.
Preferably, the non-relational database is Redis.
Preferably, the relational database is MySQL.
Preferably, the method further comprises:
and S4, resolving the monitoring data by second data receiving software in the server to obtain corresponding resolving data, and storing the resolving data into a relational database.
Referring to fig. 3, preferably, the method further comprises:
and S5, exporting the corresponding SQL file from the monitoring data before the preset time period in the relational database, and deleting the monitoring data before the preset time period.
According to the method for storing the monitoring data, the monitoring data are transmitted to the server through the TCP protocol, the monitoring data are firstly stored in non-relational data (such as Redis), the monitoring data are persisted periodically, the monitoring data are converted into hard disk data from memory data, on the premise that the normal operation of the server is guaranteed, the latest real-time data are rapidly stored and retrieved, meanwhile, the relational database is put in storage for a long time, operations such as frequent locking and index modification are not needed on the relational database, and the defects of the relational database in a frequent storage scene are effectively overcome.
In a second aspect, referring to fig. 4 and 5, this embodiment further provides a method for querying monitoring data, where the monitoring data is stored in a server according to any one of the foregoing methods, the server is connected to at least one client, and the method for querying monitoring data includes:
a1, receiving a monitoring data instruction inquired by a user, and determining the time corresponding to the monitoring data inquired by the user according to the instruction;
a2, judging whether the time corresponding to the monitoring data inquired by the user is within a preset time period or not;
and A3, if so, acquiring corresponding monitoring data in the relational database according to the instruction.
Preferably, the method further comprises:
a4, if not, determining a corresponding SQL file according to the instruction;
a5, importing the SQL file into a relational database to obtain corresponding monitoring data.
In the method for querying monitoring data in the embodiment, because the monitoring data before the preset time period is exported from the database, the SQL file deletes the content of the SQL file in the data, so that the monitoring data in the latest time period can be queried more quickly while the traceability of the intensive monitoring data is ensured.
In a third aspect, this embodiment further provides a method for displaying monitoring data, where the monitoring data is stored in a server according to any one of the foregoing methods, referring to fig. 6, the server is connected to at least one client, and the client and the server have an HTTP communication protocol and a Websocket communication protocol; the display method comprises the following steps:
the HTTP request process in this embodiment: the client sends a request to the server, and the server returns corresponding content according to the request content sent to the client by the client.
In this embodiment, the WebSocket is a protocol for performing full duplex communication on a single TCP connection, and is significantly characterized by bidirectional data exchange.
After the client receives a calculation data display instruction input by a user, the client calculates a data time request to the server by adopting an HTTP (hyper text transport protocol) communication protocol;
and the server sends corresponding resolving data to the client according to the data resolving time request and displays the resolving data in an icon form.
Preferably, the method further comprises:
after the server receives a data monitoring request which is carried out by the client in a Websocket mode, the server sends the monitoring data to the client and displays the monitoring data in an icon mode.
In the method for displaying monitoring data in this embodiment, because Websocket is used to establish connection between the client and the server, data exchange is performed in real time, and front-end browsing performance and server performance are improved.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions.
It should be noted that in the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The use of the terms first, second, third and the like are for convenience only and do not denote any order. These words are to be understood as part of the name of the component.
Furthermore, it should be noted that in the description of the present specification, the description of the term "one embodiment", "some embodiments", "examples", "specific examples" or "some examples", etc., means that a specific feature, structure, material or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, the claims should be construed to include preferred embodiments and all changes and modifications that fall within the scope of the invention.
It will be apparent to those skilled in the art that various modifications and variations can be made in the present invention without departing from the spirit or scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention should also include such modifications and variations.
Claims (9)
1. A method for storing monitoring data, wherein monitoring data is generated by a monitoring device during a monitoring process, and the monitoring device is communicatively connected to a server, the method comprising:
s1, the monitoring device transmits the monitoring data to a server through a TCP protocol;
the server comprises first data receiving software and second data receiving software;
s2, storing the monitoring data in a non-relational database in the server by first data receiving software in the server;
and S3, the server persists the monitoring data in the non-relational database into the relational database according to a preset time interval.
2. The storage method according to claim 1,
the non-relational database is Redis.
3. The storage method according to claim 1,
the relational database is MySQL.
4. The storage method according to claim 3, wherein the method further comprises:
and S4, resolving the monitoring data by second data receiving software in the server to obtain corresponding resolving data, and storing the resolving data into a relational database.
5. The storage method according to claim 4, wherein the method further comprises:
and S5, exporting the corresponding SQL file from the monitoring data before the preset time period in the relational database, and deleting the monitoring data before the preset time period.
6. A method for querying monitoring data, wherein the monitoring data is stored in a server according to any one of claims 1 to 5, the server is connected to at least one client, and the method for querying monitoring data comprises:
a1, receiving a monitoring data instruction inquired by a user, and determining the time corresponding to the monitoring data inquired by the user according to the instruction;
a2, judging whether the time corresponding to the monitoring data inquired by the user is within a preset time period or not;
and A3, if so, acquiring corresponding monitoring data in the relational database according to the instruction.
7. The method of claim 6, further comprising:
a4, if not, determining a corresponding SQL file according to the instruction;
a5, importing the SQL file into a relational database to obtain corresponding monitoring data.
8. A display method of monitoring data is characterized in that the monitoring data is stored in a server according to the method of any one of claims 1 to 5, the server is connected with at least one client, and the client and the server have an HTTP (hyper text transport protocol) communication protocol and a Websocket communication protocol; the display method comprises the following steps:
after the client receives a calculation data display instruction input by a user, the client calculates a data time request to the server by adopting an HTTP (hyper text transport protocol) communication protocol;
and the server sends corresponding resolving data to the client according to the data resolving time request and displays the resolving data in an icon form.
9. The method of claim 8, further comprising:
after the server receives a data monitoring request which is carried out by the client in a Websocket mode, the server sends the monitoring data to the client and displays the monitoring data in an icon mode.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110400633.1A CN113177036A (en) | 2021-04-14 | 2021-04-14 | Storage method, query method and display method of monitoring data |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110400633.1A CN113177036A (en) | 2021-04-14 | 2021-04-14 | Storage method, query method and display method of monitoring data |
Publications (1)
Publication Number | Publication Date |
---|---|
CN113177036A true CN113177036A (en) | 2021-07-27 |
Family
ID=76923363
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202110400633.1A Pending CN113177036A (en) | 2021-04-14 | 2021-04-14 | Storage method, query method and display method of monitoring data |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN113177036A (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN117056405A (en) * | 2023-07-19 | 2023-11-14 | 中国船舶集团有限公司第七一九研究所 | Ship software monitoring data acquisition processing method, system and storage medium |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105426421A (en) * | 2015-11-03 | 2016-03-23 | 武汉地大信息工程股份有限公司 | Tense monitoring data quick visualization method and system |
KR20160117965A (en) * | 2015-04-01 | 2016-10-11 | 삼성에스디에스 주식회사 | Method and apparatus for generating NoSQL model |
CN107134853A (en) * | 2017-05-26 | 2017-09-05 | 青岛卓迅电子科技有限公司 | A kind of electric energy meter remote monitoring system and its method |
CN108268217A (en) * | 2018-01-10 | 2018-07-10 | 北京航天云路有限公司 | A kind of bedding storage method based on the cold and hot classification of time series data |
CN108319654A (en) * | 2017-12-29 | 2018-07-24 | 中国银联股份有限公司 | Computing system, cold and hot data separation method and device, computer readable storage medium |
CN109327543A (en) * | 2018-11-21 | 2019-02-12 | 科大智能电气技术有限公司 | A kind of implementation method of internet of things equipment data transmission |
CN111639114A (en) * | 2020-04-07 | 2020-09-08 | 北京邮电大学 | Distributed data fusion management system based on Internet of things platform |
-
2021
- 2021-04-14 CN CN202110400633.1A patent/CN113177036A/en active Pending
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20160117965A (en) * | 2015-04-01 | 2016-10-11 | 삼성에스디에스 주식회사 | Method and apparatus for generating NoSQL model |
CN105426421A (en) * | 2015-11-03 | 2016-03-23 | 武汉地大信息工程股份有限公司 | Tense monitoring data quick visualization method and system |
CN107134853A (en) * | 2017-05-26 | 2017-09-05 | 青岛卓迅电子科技有限公司 | A kind of electric energy meter remote monitoring system and its method |
CN108319654A (en) * | 2017-12-29 | 2018-07-24 | 中国银联股份有限公司 | Computing system, cold and hot data separation method and device, computer readable storage medium |
CN108268217A (en) * | 2018-01-10 | 2018-07-10 | 北京航天云路有限公司 | A kind of bedding storage method based on the cold and hot classification of time series data |
CN109327543A (en) * | 2018-11-21 | 2019-02-12 | 科大智能电气技术有限公司 | A kind of implementation method of internet of things equipment data transmission |
CN111639114A (en) * | 2020-04-07 | 2020-09-08 | 北京邮电大学 | Distributed data fusion management system based on Internet of things platform |
Non-Patent Citations (1)
Title |
---|
赫高进等: "基于内存空间数据库的空气质量实时监测系统", 《计算机研究与发展》 * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN117056405A (en) * | 2023-07-19 | 2023-11-14 | 中国船舶集团有限公司第七一九研究所 | Ship software monitoring data acquisition processing method, system and storage medium |
CN117056405B (en) * | 2023-07-19 | 2024-02-09 | 中国船舶集团有限公司第七一九研究所 | Ship software monitoring data acquisition processing method, system and storage medium |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
AU2020203027B2 (en) | Generating, accessing, and displaying lineage metadata | |
CN108920588B (en) | Knowledge graph updating method and system for man-machine interaction | |
US10409650B2 (en) | Efficient access scheduling for super scaled stream processing systems | |
US8694488B1 (en) | Identifying sibling queries | |
US20200372007A1 (en) | Trace and span sampling and analysis for instrumented software | |
US10459932B2 (en) | Visualizing large data volumes utilizing initial sampling and multi-stage calculations | |
US9026550B2 (en) | Temporal pattern matching in large collections of log messages | |
CN105373541B (en) | The processing method and system of the data operation request of database | |
WO2017096892A1 (en) | Index construction method, search method, and corresponding device, apparatus, and computer storage medium | |
CN106919685A (en) | Mass data file processing method | |
JP2016513300A (en) | Variable duration window for continuous data stream | |
CN108446305A (en) | The system and method for various dimensions service data statistics | |
CN104778123B (en) | A kind of method and device of detecting system performance | |
KR102233867B1 (en) | Extracting similar group elements | |
WO2019120093A1 (en) | Cardinality estimation in databases | |
US20180107722A1 (en) | Managing queries in business intelligence platforms | |
CN112182238A (en) | Knowledge graph construction system and method based on graph database | |
US9069681B1 (en) | Real-time log joining on a continuous stream of events that are approximately ordered | |
CN104834719B (en) | Applied to the Database Systems under real-time big data scene | |
CN113177036A (en) | Storage method, query method and display method of monitoring data | |
CN107181729B (en) | Data encryption in a multi-tenant cloud environment | |
CN109614417B (en) | Data flow-based report index display method and device and terminal | |
CN111258819A (en) | Data acquisition method, device and system for MySQL database backup file | |
US20100010979A1 (en) | Reduced Volume Precision Data Quality Information Cleansing Feedback Process | |
US20160217203A1 (en) | Systems, Methods, and Apparatuses for Creating, Linking and Discovering Business Navigation Maps for Analyzing Data |
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 | ||
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210727 |