CN115391141A - Database flow analysis method, device, equipment and readable storage medium - Google Patents
Database flow analysis method, device, equipment and readable storage medium Download PDFInfo
- Publication number
- CN115391141A CN115391141A CN202211027943.4A CN202211027943A CN115391141A CN 115391141 A CN115391141 A CN 115391141A CN 202211027943 A CN202211027943 A CN 202211027943A CN 115391141 A CN115391141 A CN 115391141A
- Authority
- CN
- China
- Prior art keywords
- database
- flow
- database flow
- traffic
- flow analysis
- 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
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3003—Monitoring arrangements specially adapted to the computing system or computing system component being monitored
- G06F11/302—Monitoring arrangements specially adapted to the computing system or computing system component being monitored where the computing system component is a software system
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3065—Monitoring arrangements determined by the means or processing involved in reporting the monitored data
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/32—Monitoring with visual or acoustical indication of the functioning of the machine
- G06F11/324—Display of status information
- G06F11/327—Alarm or error message display
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/445—Program loading or initiating
- G06F9/44505—Configuring for program initiating, e.g. using registry, configuration files
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Software Systems (AREA)
- Quality & Reliability (AREA)
- Computing Systems (AREA)
- Mathematical Physics (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The application discloses a database flow analysis method, a database flow analysis device, a database flow analysis equipment and a readable storage medium, which can be applied to the field of artificial intelligence or finance. Acquiring database operation state information, a database flow configuration strategy and database flow; analyzing the database flow based on the database operation state information and the database flow configuration strategy to obtain a database flow analysis result, wherein the database flow analysis result is used for indicating the abnormal database flow and an adjustment strategy corresponding to the abnormal database flow; adjusting a configuration strategy corresponding to abnormal data traffic based on an adjustment strategy corresponding to abnormal database traffic; and analyzing the database flow analysis result to generate a database flow analysis report. Based on the scheme, the intelligent monitoring of the database flow can be realized.
Description
Technical Field
The present application relates to the field of database technologies, and in particular, to a method, an apparatus, a device, and a readable storage medium for database traffic analysis.
Background
The database flow analysis has important effects on stable operation of the database and improvement of the service quality of the database. With the increase of the scale of the database, the analysis strategies of manually monitoring the database flow and manually allocating the flow cannot be matched with the rapid increase of the operation and maintenance scale of the database, and the labor cost of an enterprise is increased.
Therefore, how to provide a database traffic analysis scheme to achieve intelligent monitoring of database traffic becomes a technical problem to be urgently solved by those skilled in the art.
Disclosure of Invention
In view of the foregoing problems, the present application provides a database traffic analysis method, apparatus, device and readable storage medium. The specific scheme is as follows:
a database traffic analysis method, the method comprising:
acquiring database running state information, a database flow configuration strategy and database flow;
analyzing the database flow based on the database operation state information and the database flow configuration strategy to obtain a database flow analysis result, wherein the database flow analysis result is used for indicating abnormal database flow and an adjustment strategy corresponding to the abnormal database flow;
adjusting a configuration strategy corresponding to the abnormal data traffic based on an adjustment strategy corresponding to the abnormal database traffic;
and analyzing the database flow analysis result to generate a database flow analysis report.
Optionally, the analyzing the database traffic based on the database operation state information and the database traffic configuration policy to obtain a database traffic analysis result includes:
inputting the database running state information, the database flow configuration strategy and the database flow into a database flow analysis model, and outputting a database flow analysis result by the database flow analysis model;
the database flow analysis model is obtained by machine learning and is established based on historical database flow, historical database operation state information, a database flow configuration strategy and a historical database flow analysis result.
Optionally, after analyzing the database traffic based on the database operation state information and the database traffic configuration policy to obtain a database traffic analysis result, the method further includes:
and generating a database flow abnormity early warning message based on the database flow analysis result, and providing the database flow abnormity early warning message for database operation and maintenance personnel.
Optionally, after analyzing the database traffic analysis result and generating a database traffic analysis report, the method further includes:
and providing the database flow analysis report to a database operation and maintenance person so that the database operation and maintenance person can view the database flow analysis report.
A database flow analysis apparatus, the apparatus comprising:
the acquisition unit is used for acquiring the running state information of the database, the flow configuration strategy of the database and the flow of the database;
the analysis unit is used for analyzing the database flow based on the database running state information and the database flow configuration strategy to obtain a database flow analysis result, wherein the database flow analysis result is used for indicating the abnormal database flow and an adjustment strategy corresponding to the abnormal database flow;
the adjusting unit is used for adjusting the configuration strategy corresponding to the abnormal data traffic based on the adjusting strategy corresponding to the abnormal database traffic;
and the generating unit is used for analyzing the database flow analysis result and generating a database flow analysis report.
Optionally, the analysis unit comprises:
the model analysis unit is used for inputting the database running state information, the database flow configuration strategy and the database flow into the database flow analysis model, and the database flow analysis model outputs a database flow analysis result;
the database flow analysis model is obtained by machine learning and is established based on historical database flow, historical database operation state information, a database flow configuration strategy and a historical database flow analysis result.
Optionally, the apparatus further comprises:
the abnormal early warning message generating unit is used for analyzing the database flow based on the database operation state information and the database flow configuration strategy to obtain a database flow analysis result and then generating a database flow abnormal early warning message based on the database flow analysis result;
and the abnormal early warning message sending unit is used for providing the database flow abnormal early warning message to database operation and maintenance personnel.
Optionally, the apparatus further comprises:
and the report sending unit is used for analyzing the database flow analysis result to generate a database flow analysis report, and then providing the database flow analysis report to a database operation and maintenance person so that the database operation and maintenance person can check the database flow analysis report.
A database traffic analysis device comprising a memory and a processor;
the memory is used for storing programs;
the processor is configured to execute the program to implement the steps of the database traffic analysis method.
A readable storage medium having stored thereon a computer program which, when executed by a processor, carries out the steps of the database traffic analysis method as described above.
By means of the technical scheme, the application discloses a database flow analysis method, a database flow analysis device and a readable storage medium. Acquiring database operation state information, a database flow configuration strategy and database flow; analyzing the database flow based on the database operation state information and the database flow configuration strategy to obtain a database flow analysis result, wherein the database flow analysis result is used for indicating abnormal database flow and an adjustment strategy corresponding to the abnormal database flow; adjusting a configuration strategy corresponding to the abnormal data traffic based on an adjustment strategy corresponding to the abnormal database traffic; and analyzing the database flow analysis result to generate a database flow analysis report. Based on the scheme, the intelligent monitoring of the database flow can be realized.
Drawings
Various additional advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the application. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
fig. 1 is a schematic structural diagram of a database traffic analysis system disclosed in an embodiment of the present application;
fig. 2 is a schematic flowchart of a database traffic analysis method disclosed in an embodiment of the present application;
fig. 3 is a schematic structural diagram of a database flow analysis apparatus disclosed in an embodiment of the present application;
fig. 4 is a block diagram of a hardware structure of a database traffic analysis device disclosed in an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be described clearly and completely with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only some embodiments of the present application, and not all embodiments. 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 application.
It should be noted that the database traffic analysis method, apparatus, device and readable storage medium provided by the present invention can be used in the field of artificial intelligence or in the field of finance. The foregoing is merely an example, and does not limit the application fields of the database traffic analysis method, apparatus, device, and readable storage medium provided in the present invention.
In order to realize intelligent monitoring of database flow, the inventor of the present application carries out research and provides a database flow analysis system.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a database traffic analysis system disclosed in an embodiment of the present application, where the system may include:
gateway, database agent module, calculation storage module, interaction module, database flow management module, database flow analysis module and message service module, wherein:
the database provides the relevant functions of the database, and can be various types of databases, such as SQL, noSQL, newSQL and the like;
the database agent module provides a database information acquisition function, acquires database flow and database running state information and forwards the database flow and the database running state information to the calculation storage module;
the calculation storage module provides a data information integration and summarization function, receives the database flow and the database running state information acquired by the database agent, and performs standard integration and summarization processing on the received database flow and the database running state information to form the database flow and the database running state information after integration and summarization and send the database flow and the database running state information to the database flow analysis module;
the interaction module provides an interaction function, and database operation and maintenance personnel can control the start and stop of the database agent module, enter and maintain a database flow configuration strategy, maintain the database flow analysis module, check a database flow analysis report provided by the database flow management module and the like through the interaction module;
the database flow analysis module provides a database flow analysis function, reads the database flow and the database running state information which are integrated and summarized by the calculation and storage module, acquires a database flow configuration strategy sent by the database flow management module, analyzes the database flow based on the database running state information and the database flow configuration strategy, and forms a database flow analysis result, wherein the database flow analysis result is used for indicating abnormal database flow and an adjustment strategy corresponding to the abnormal database flow, and provides the database flow analysis result for the database flow management module; the database running state information can comprise request waiting number, request response time, request execution time, load balancing condition, read-write resource lock condition and the like; in this module, a database traffic analysis model may be established based on the historical database traffic, the historical database operating state information, the database traffic configuration policy, and the historical database traffic analysis result through machine learning, and then the database traffic may be analyzed based on the database operating state information and the database traffic configuration policy to form a database traffic analysis result, including: and inputting the database running state information, the database flow configuration strategy and the database flow into a database flow analysis model, and outputting a database flow analysis result by the database flow analysis model.
The database flow management module provides a database flow management function, and comprises a database flow configuration strategy receiving the input of the interaction module, a synchronous database flow configuration strategy to the database flow analysis module, a database flow analysis result receiving the database flow analysis module, a configuration strategy corresponding to abnormal data flow adjusting based on the database flow analysis result, and sending the adjusted configuration strategy to the gateway, and based on the database flow analysis result, generating a database flow analysis report and a database flow abnormal early warning message, wherein the database flow analysis report can be provided for the interaction module, and the database flow abnormal early warning message can be provided for the message service module.
The message service module provides message notification capability, receives database flow abnormity early warning messages of the database flow management module and notifies the database operation and maintenance personnel.
Based on the database flow analysis system, the inventor provides a database flow analysis method, and the method can realize intelligent monitoring of the database flow. The method can be applied to a database flow analysis system. Next, the database flow analysis method provided in the present application is described by the following embodiments.
Referring to fig. 2, fig. 2 is a schematic flowchart of a database traffic analysis method disclosed in an embodiment of the present application, where the method may include:
step S101: acquiring database running state information, a database flow configuration strategy and database flow;
in the application, the database traffic analysis module may obtain the database operation state information, the database traffic configuration policy, and the database traffic. Database traffic is referred to herein specifically as application request traffic. The database running state information comprises request waiting number, request response time, request execution time, load balancing condition, read-write resource lock condition and the like.
Step S102: analyzing the database flow based on the database operation state information and the database flow configuration strategy to obtain a database flow analysis result, wherein the database flow analysis result is used for indicating abnormal database flow and an adjustment strategy corresponding to the abnormal database flow;
in the application, the database traffic analysis module may analyze the database traffic based on the database operation state information and the database traffic configuration policy to obtain a database traffic analysis result.
Step S103: adjusting a configuration strategy corresponding to the abnormal data traffic based on an adjustment strategy corresponding to the abnormal database traffic;
in the application, the database traffic analysis result may be provided to the database traffic management module, the database traffic management module adjusts the configuration policy corresponding to the abnormal data traffic based on the adjustment policy corresponding to the abnormal database traffic, and sends the adjusted configuration policy to the gateway.
Step S104: and analyzing the database flow analysis result to generate a database flow analysis report.
In the application, the database traffic analysis result can be provided to the database traffic management module, and the database traffic management module analyzes the database traffic analysis result to generate a database traffic analysis report.
The embodiment discloses a database flow analysis method. Acquiring database running state information, a database flow configuration strategy and database flow; analyzing the database flow based on the database operation state information and the database flow configuration strategy to obtain a database flow analysis result, wherein the database flow analysis result is used for indicating abnormal database flow and an adjustment strategy corresponding to the abnormal database flow; adjusting a configuration strategy corresponding to abnormal data traffic based on an adjustment strategy corresponding to abnormal database traffic; and analyzing the database flow analysis result to generate a database flow analysis report. Based on the scheme, the intelligent monitoring of the database flow can be realized.
In another embodiment of the present application, the analyzing the database traffic based on the database operation state information and the database traffic configuration policy to obtain a database traffic analysis result includes:
inputting the database running state information, the database flow configuration strategy and the database flow into a database flow analysis model, and outputting a database flow analysis result by the database flow analysis model;
the database flow analysis model is obtained by machine learning and is established based on historical database flow, historical database operation state information, a database flow configuration strategy and historical database flow analysis results.
In another embodiment of the present application, after analyzing the database traffic based on the database operation state information and the database traffic configuration policy to obtain a database traffic analysis result, the method further includes:
and generating a database flow abnormity early warning message based on the database flow analysis result, and providing the database flow abnormity early warning message for database operation and maintenance personnel.
In the application, the database flow analysis result can be provided for a database flow management module, the database flow management module generates a database flow abnormity early warning message based on the database flow analysis result, and provides the database flow abnormity early warning message for the message service module, so that the message service module provides the database flow abnormity early warning message for database operation and maintenance personnel.
In another embodiment of the present application, after parsing the database traffic analysis result to generate a database traffic analysis report, the method further includes:
and providing the database flow analysis report to a database operation and maintenance person so that the database operation and maintenance person can view the database flow analysis report.
In this application, the database traffic analysis report may be provided to an interaction module, so that the database operation and maintenance staff may view the database traffic analysis report through the interaction module.
The following describes the database traffic analysis apparatus disclosed in the embodiment of the present application, and the database traffic analysis apparatus described below and the database traffic analysis method described above may be referred to in correspondence with each other.
Referring to fig. 3, fig. 3 is a schematic structural diagram of a database flow analysis device disclosed in the embodiment of the present application. As shown in fig. 3, the database traffic analysis apparatus may include:
the acquiring unit 11 is configured to acquire database running state information, a database traffic configuration policy, and database traffic;
the analysis unit 12 is configured to analyze the database traffic based on the database operation state information and the database traffic configuration policy to obtain a database traffic analysis result, where the database traffic analysis result is used to indicate abnormal database traffic and an adjustment policy corresponding to the abnormal database traffic;
the adjusting unit 13 is configured to adjust a configuration policy corresponding to the abnormal data traffic based on an adjustment policy corresponding to the abnormal database traffic;
and a generating unit 14, configured to analyze the database traffic analysis result, and generate a database traffic analysis report.
As an implementable manner, the analysis unit includes:
the model analysis unit is used for inputting the database running state information, the database flow configuration strategy and the database flow into the database flow analysis model, and the database flow analysis model outputs a database flow analysis result;
the database flow analysis model is obtained by machine learning and is established based on historical database flow, historical database operation state information, a database flow configuration strategy and historical database flow analysis results.
As an implementable way, the apparatus further comprises:
the abnormal early warning message generating unit is used for analyzing the database flow based on the database operation state information and the database flow configuration strategy to obtain a database flow analysis result and then generating a database flow abnormal early warning message based on the database flow analysis result;
and the abnormal early warning message sending unit is used for providing the database traffic abnormal early warning message for database operation and maintenance personnel.
As an implementable manner, the apparatus further comprises:
and the report sending unit is used for analyzing the database flow analysis result to generate a database flow analysis report, and then providing the database flow analysis report to the database operation and maintenance personnel so that the database operation and maintenance personnel can check the database flow analysis report.
Referring to fig. 4, fig. 4 is a block diagram of a hardware structure of a database traffic analysis device according to an embodiment of the present application, and referring to fig. 4, the hardware structure of the database traffic analysis device may include: at least one processor 1, at least one communication interface 2, at least one memory 3 and at least one communication bus 4;
in the embodiment of the application, the number of the processor 1, the communication interface 2, the memory 3 and the communication bus 4 is at least one, and the processor 1, the communication interface 2 and the memory 3 complete mutual communication through the communication bus 4;
the processor 1 may be a central processing unit CPU, or an Application Specific Integrated Circuit ASIC (Application Specific Integrated Circuit), or one or more Integrated circuits configured to implement embodiments of the present invention, etc.;
the memory 3 may include a high-speed RAM memory, and may further include a non-volatile memory (non-volatile memory) or the like, such as at least one disk memory;
wherein the memory stores a program and the processor can call the program stored in the memory, the program for:
acquiring database running state information, a database flow configuration strategy and database flow;
analyzing the database flow based on the database operation state information and the database flow configuration strategy to obtain a database flow analysis result, wherein the database flow analysis result is used for indicating abnormal database flow and an adjustment strategy corresponding to the abnormal database flow;
adjusting a configuration strategy corresponding to the abnormal data traffic based on an adjustment strategy corresponding to the abnormal database traffic;
analyzing the flow analysis result of the database, and generating a database flow analysis report.
Alternatively, the detailed function and the extended function of the program may be as described above.
Embodiments of the present application further provide a readable storage medium, where a program suitable for being executed by a processor may be stored, where the program is configured to:
acquiring database running state information, a database flow configuration strategy and database flow;
analyzing the database flow based on the database operation state information and the database flow configuration strategy to obtain a database flow analysis result, wherein the database flow analysis result is used for indicating abnormal database flow and an adjustment strategy corresponding to the abnormal database flow;
adjusting a configuration strategy corresponding to abnormal data traffic based on an adjustment strategy corresponding to abnormal database traffic;
and analyzing the database flow analysis result to generate a database flow analysis report.
Alternatively, the detailed function and the extended function of the program may be as described above.
In summary, the present application discloses a database traffic analysis method, apparatus, device and readable storage medium. Acquiring database running state information, a database flow configuration strategy and database flow; analyzing the database flow based on the database operation state information and the database flow configuration strategy to obtain a database flow analysis result, wherein the database flow analysis result is used for indicating the abnormal database flow and an adjustment strategy corresponding to the abnormal database flow; adjusting a configuration strategy corresponding to the abnormal data traffic based on an adjustment strategy corresponding to the abnormal database traffic; and analyzing the database flow analysis result to generate a database flow analysis report. Based on the scheme, the intelligent monitoring of the database flow can be realized.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising a," "8230," "8230," or "comprising" does not exclude the presence of additional like elements in a process, method, article, or apparatus that comprises the element.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A method for database traffic analysis, the method comprising:
acquiring database operation state information, a database flow configuration strategy and database flow;
analyzing the database flow based on the database operation state information and the database flow configuration strategy to obtain a database flow analysis result, wherein the database flow analysis result is used for indicating abnormal database flow and an adjustment strategy corresponding to the abnormal database flow;
adjusting a configuration strategy corresponding to the abnormal data traffic based on an adjustment strategy corresponding to the abnormal database traffic;
and analyzing the database flow analysis result to generate a database flow analysis report.
2. The method of claim 1, wherein analyzing the database traffic based on the database operation status information and the database traffic configuration policy to obtain a database traffic analysis result comprises:
inputting the database running state information, the database flow configuration strategy and the database flow into a database flow analysis model, and outputting a database flow analysis result by the database flow analysis model;
the database flow analysis model is obtained by machine learning and is established based on historical database flow, historical database operation state information, a database flow configuration strategy and historical database flow analysis results.
3. The method of claim 1, wherein after analyzing the database traffic based on the database operation status information and the database traffic configuration policy to obtain a database traffic analysis result, the method further comprises:
and generating a database flow abnormity early warning message based on the database flow analysis result, and providing the database flow abnormity early warning message for database operation and maintenance personnel.
4. The method of claim 1, wherein after parsing the database traffic analysis results to generate a database traffic analysis report, the method further comprises:
and providing the database flow analysis report to a database operation and maintenance person so that the database operation and maintenance person can view the database flow analysis report.
5. A database flow analysis apparatus, the apparatus comprising:
the acquisition unit is used for acquiring the running state information of the database, the flow configuration strategy of the database and the flow of the database;
the analysis unit is used for analyzing the database flow based on the database operation state information and the database flow configuration strategy to obtain a database flow analysis result, wherein the database flow analysis result is used for indicating abnormal database flow and an adjustment strategy corresponding to the abnormal database flow;
the adjustment unit is used for adjusting the configuration strategy corresponding to the abnormal data traffic based on the adjustment strategy corresponding to the abnormal database traffic;
and the generating unit is used for analyzing the database flow analysis result and generating a database flow analysis report.
6. The apparatus of claim 5, wherein the analysis unit comprises:
the model analysis unit is used for inputting the database running state information, the database flow configuration strategy and the database flow into the database flow analysis model, and the database flow analysis model outputs a database flow analysis result;
the database flow analysis model is obtained by machine learning and is established based on historical database flow, historical database operation state information, a database flow configuration strategy and historical database flow analysis results.
7. The apparatus of claim 5, further comprising:
the abnormal early warning message generating unit is used for analyzing the database flow based on the database running state information and the database flow configuration strategy to obtain a database flow analysis result and then generating a database flow abnormal early warning message based on the database flow analysis result;
and the abnormal early warning message sending unit is used for providing the database traffic abnormal early warning message for database operation and maintenance personnel.
8. The apparatus of claim 5, further comprising:
and the report sending unit is used for analyzing the database flow analysis result to generate a database flow analysis report, and then providing the database flow analysis report to the database operation and maintenance personnel so that the database operation and maintenance personnel can check the database flow analysis report.
9. A database flow analysis device comprising a memory and a processor;
the memory is used for storing programs;
the processor, configured to execute the program, and implement the steps of the database traffic analysis method according to any one of claims 1 to 4.
10. A readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the database traffic analysis method according to any one of claims 1 to 4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211027943.4A CN115391141A (en) | 2022-08-25 | 2022-08-25 | Database flow analysis method, device, equipment and readable storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211027943.4A CN115391141A (en) | 2022-08-25 | 2022-08-25 | Database flow analysis method, device, equipment and readable storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115391141A true CN115391141A (en) | 2022-11-25 |
Family
ID=84122416
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211027943.4A Pending CN115391141A (en) | 2022-08-25 | 2022-08-25 | Database flow analysis method, device, equipment and readable storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115391141A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118277418A (en) * | 2024-04-25 | 2024-07-02 | 王旭 | Database management method based on intelligent network-connected automobile teaching platform |
-
2022
- 2022-08-25 CN CN202211027943.4A patent/CN115391141A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118277418A (en) * | 2024-04-25 | 2024-07-02 | 王旭 | Database management method based on intelligent network-connected automobile teaching platform |
| CN118277418B (en) * | 2024-04-25 | 2024-10-08 | 山东理工职业学院 | Database management method based on intelligent network-connected automobile teaching platform |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110086666B (en) | Alarm method, device and system | |
| RU2378689C2 (en) | Network control system and method | |
| CN111290916B (en) | Big data monitoring method, device and equipment and computer readable storage medium | |
| CN102571403B (en) | The implementation method of general data quality control adapter and device | |
| JP6160064B2 (en) | Application determination program, failure detection apparatus, and application determination method | |
| WO2019223062A1 (en) | Method and system for processing system exceptions | |
| CN109543891B (en) | Method and apparatus for establishing capacity prediction model, and computer-readable storage medium | |
| CN108804215A (en) | A kind of task processing method, device and electronic equipment | |
| CN111475369A (en) | Log monitoring adding method and device, computer equipment and storage medium | |
| CN109409948B (en) | Transaction abnormity detection method, device, equipment and computer readable storage medium | |
| CN108390793A (en) | A kind of method and device of analysis system stability | |
| CN111651595A (en) | Abnormal log processing method and device | |
| CN112910733A (en) | Full link monitoring system and method based on big data | |
| CN115391141A (en) | Database flow analysis method, device, equipment and readable storage medium | |
| CN113760634A (en) | Data processing method and device | |
| CN110677271A (en) | Big data alarm method, device, equipment and storage medium based on ELK | |
| WO2024164730A1 (en) | Anomaly real-time reporting method and system for hybrid cloud management, device and medium | |
| CN115391821A (en) | Database access request analysis method, device, equipment and readable storage medium | |
| CN115374088A (en) | Database health degree analysis method, device and equipment and readable storage medium | |
| CN107168846A (en) | The monitoring method and device of electronic equipment | |
| CN113676356A (en) | Alarm information processing method and device, electronic equipment and readable storage medium | |
| US11455558B2 (en) | Method and system for managing events using automated rule generation | |
| CN113835916A (en) | Ambari big data platform-based alarm method, system and equipment | |
| CN111429125A (en) | Account management method and device, storage medium and electronic equipment | |
| CN115208895B (en) | Automatic networking method and system for block chain technology |
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 |