CN106709057A - Distributed cluster visualized database - Google Patents
Distributed cluster visualized database Download PDFInfo
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- CN106709057A CN106709057A CN201710013004.7A CN201710013004A CN106709057A CN 106709057 A CN106709057 A CN 106709057A CN 201710013004 A CN201710013004 A CN 201710013004A CN 106709057 A CN106709057 A CN 106709057A
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- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/27—Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
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Abstract
The invention discloses a distributed cluster visualized database. The distributed cluster visualized database comprises a data source for storing monitoring data of servers in a distributed cluster, a visualization module for obtaining the monitoring data stored in the data source to draw data drawing lists of indexes and sending the data drawing lists to a front-end interface for display, a data analysis module for obtaining the monitoring data stored in the data source, respectively comparing the data of the indexes in the monitoring data with corresponding preset threshold values and recording the fault situations of the index data exceeding the corresponding preset threshold values to obtain abnormality analysis results; a user performs fault control processing according to the abnormality analysis results. The abnormality analysis process of the distributed cluster visualized database can be simplified without calling of data from the data source through an outside third-party tool.
Description
Technical field
The present invention relates to server failure monitoring technology field, more particularly to a kind of distributed type assemblies visualization data
Storehouse.
Background technology
Visible database is provided with the management server of general distributed type assemblies, the visible database has number
According to storage and the visualization function of data, generally during design, distribution can all be collected according to the visible database
The visualization that carries out of monitoring data of group each node shows, facilitates user to observe cluster each node data situation of change, logical
Cross node data situation of change analysis cluster system running state.
At present, accident analysis is carried out to the data for visualizing data database usually using third party's instrument.But, the mistake
In journey, it is necessary to download third party's instrument first, and configure series of parameters and ensure third party's instrument and management server
Between fitting relation, it is necessary to the matching operation of complexity.
Therefore, how to provide a kind of distributed type assemblies visible database that can solve the problem that above mentioned problem is art technology
Personnel need the problem for solving at present.
The content of the invention
It is an object of the invention to provide a kind of distributed type assemblies visible database, it is not necessary to by extraneous third party's work
Have to call the data in data source, the anomaly analysis process of visible database can be simplified.
In order to solve the above technical problems, the invention provides a kind of distributed type assemblies visible database, including：
Data source, the monitoring data for depositing each server in the distributed type assemblies；
Visualization component, the monitoring data for obtaining and according to being stored in the data source draws the data of each index
Chart and sending to front-end interface is shown；
Components of data analysis, for obtaining the monitoring data stored in the data source；Respectively by the monitoring data
The data of each index be compared with corresponding predetermined threshold value, and to the achievement data beyond corresponding predetermined threshold value therefore
Barrier situation is recorded, and obtains anomaly analysis result；For user Fault Control treatment is carried out according to the anomaly analysis result.
Preferably, the components of data analysis is specifically included：
Acquiring unit, for obtaining the monitoring data stored in the data source；
Comparing unit, for respectively carrying out the data of each index in the monitoring data with corresponding predetermined threshold value
Compare, obtain comparative result；
Analytic unit, for according to the comparative result, to the failure feelings of the achievement data beyond corresponding predetermined threshold value
Condition is analyzed, and determines fault type；
File generating unit, for calling default processing scheme according to the fault type, and by the failure situation,
The fault type and the processing scheme generate the anomaly analysis result；Enter according to the anomaly analysis result for user
The treatment of row Fault Control.
Preferably, the components of data analysis also includes：
Mark unit, in the front-end interface to corresponding to the data of the index beyond corresponding predetermined threshold value
Data drawing list carries out failure mark display.
Preferably, the components of data analysis also includes：
Triggering call unit, the trigger action for receiving data drawing list of the user to being marked with the failure, response
In the trigger action, anomaly analysis result corresponding with the index shown by toggled data drawing list is called to be shown
Show.
Preferably, the components of data analysis also includes：
Communication unit, for the anomaly analysis result to be sent into user by default communication mode.
Preferably, the components of data analysis also includes：
Alarm Unit, for the anomaly analysis result to be shown in pop-up form in the front-end interface.
It is the invention provides a kind of distributed type assemblies visible database including data source for data storage, visual
Change component and components of data analysis, the components of data analysis can directly obtain monitoring data from data source and carry out failure
Analysis, obtains anomaly analysis result, for for carrying out troubleshooting.I.e. the present invention is integrated with distributed collection by components of data analysis
In the visible database of group, it is not necessary to calling the data in data source by extraneous third party's instrument, it is not required that enter
The complicated parameter adaptation operation of row, it is only necessary to set the corresponding predetermined threshold value of each index, simplify visualization data
The anomaly analysis process in storehouse.
Brief description of the drawings
Technical scheme in order to illustrate more clearly the embodiments of the present invention, below will be to institute in prior art and embodiment
The accompanying drawing for needing to use is briefly described, it should be apparent that, drawings in the following description are only some implementations of the invention
Example, for those of ordinary skill in the art, on the premise of not paying creative work, can also obtain according to these accompanying drawings
Obtain other accompanying drawings.
A kind of structural representation of distributed type assemblies visible database that Fig. 1 is provided for the present invention.
Specific embodiment
Core of the invention is to provide a kind of distributed type assemblies visible database, it is not necessary to by extraneous third party's work
Have to call the data in data source, the anomaly analysis process of visible database can be simplified.
To make the purpose, technical scheme and advantage of the embodiment of the present invention clearer, below in conjunction with the embodiment of the present invention
In accompanying drawing, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is
A part of embodiment of the present invention, rather than whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art
The every other embodiment obtained under the premise of creative work is not made, belongs to the scope of protection of the invention.
Shown in Figure 1 the invention provides a kind of distributed type assemblies visible database, Fig. 1 is provided for the present invention
A kind of structural representation of distributed type assemblies visible database.The visible database includes：
Data source 1, the monitoring data for depositing each server in distributed type assemblies；
Visualization component 2, the monitoring data for obtaining and according to being stored in data source 1 draws the datagram of each index
Table and sending to front-end interface is shown；
Components of data analysis 3, for obtaining the monitoring data stored in data source 1；Respectively by each in monitoring data
The data of index are compared with corresponding predetermined threshold value, and to the failure situation of the achievement data beyond corresponding predetermined threshold value
Recorded, obtained anomaly analysis result；For user Fault Control treatment is carried out according to anomaly analysis result.
Wherein, monitoring data here refers to the data of each index for being monitored, and index here includes distribution
The cpu busy percentage of each server node, memory usage, throughput of system, network traffics, hardware temperatures etc. in cluster, number
The data of the These parameters that monitoring is obtained are stored according to source 1.Certainly, index here can also be other guide, and the present invention is to this
It is not construed as limiting.
In addition, components of data analysis 3 here is specifically included：
Acquiring unit, for obtaining the monitoring data stored in data source 1；
Comparing unit, for respectively being compared the data of each index in monitoring data with corresponding predetermined threshold value
Compared with obtaining comparative result；
Wherein, predetermined threshold value here can be set by User Defined.
Analytic unit, for according to comparative result, the failure situation to the achievement data beyond corresponding predetermined threshold value to be entered
Row analysis, determines fault type；
File generating unit, for calling default processing scheme according to fault type, and by failure situation, fault type
And processing scheme generation anomaly analysis result；For user Fault Control treatment is carried out according to anomaly analysis result.
Preferably, components of data analysis 3 also includes：
Mark unit, in the front-end interface to the data corresponding to the data of the index beyond corresponding predetermined threshold value
Chart carries out failure mark display.
It is understood that being labeled by front-end interface, user can be made to find in time and which is recognized
The corresponding data of index occur in that failure, and then the data (maximum temperature of such as hardware) in chart, it is determined that occur
Fault type etc..
It is further known that, components of data analysis 3 also includes：
Triggering call unit, the trigger action for receiving data drawing list of the user to being marked with failure, in response to touching
Hair operation, calls anomaly analysis result corresponding with the index shown by toggled data drawing list to be shown.
I.e. on the basis of above-mentioned mark unit, by receiving triggering of the user to data drawing list, can be in front-end interface
The toggled corresponding anomaly analysis result of data drawing list of upper display so that user oneself need not be gone in calculating analysis chart
Data, but understand the failure situation got information about to occurring, convenience is strong.
Certainly, if not comprising mark unit in components of data analysis 3, components of data analysis 3 can still be called including triggering
Unit, now trigger call unit receive trigger action after, if the index corresponding to toggled data drawing list have it is different
Normal analysis result, then shown anomaly analysis result, if the corresponding index of toggled data drawing list does not break down,
The prompting do not broken down then now is called to be shown.
Preferably, components of data analysis 3 also includes：
Communication unit, for anomaly analysis result to be sent into user by default communication mode.
Wherein, default communication mode here can be wechat, mail, short message etc., and certainly, the present invention is not limited this
It is fixed.
Preferably, components of data analysis 3 also includes：
Alarm Unit, for anomaly analysis result to be shown in pop-up form in front-end interface.
I.e. when components of data analysis 3 is during analysis, once generation anomaly analysis result, will the anomaly analysis result
Carry out pop-up to show, allow users to recognize in time the failure of generation.
In addition, Alarm Unit can also show after the generation anomaly analysis result of components of data analysis 3 in front-end interface
Fault cues, after user is received to the trigger action of fault cues, call anomaly analysis result to be shown.
Certainly, specific which kind of mode present invention more than is not especially limited.
It is the invention provides a kind of distributed type assemblies visible database including data source for data storage, visual
Change component and components of data analysis, the components of data analysis can directly obtain monitoring data from data source and carry out failure
Analysis, obtains anomaly analysis result, for for carrying out troubleshooting.I.e. the present invention is integrated with distributed collection by components of data analysis
In the visible database of group, it is not necessary to calling the data in data source by extraneous third party's instrument, it is not required that enter
The complicated parameter adaptation operation of row, it is only necessary to set the corresponding predetermined threshold value of each index, simplify visualization data
The anomaly analysis process in storehouse.
It should be noted that in this manual, term " including ", "comprising" or its any other variant be intended to
Nonexcludability is included, so that process, method, article or equipment including a series of key elements not only will including those
Element, but also other key elements including being not expressly set out, or also include being this process, method, article or equipment
Intrinsic key element.In the absence of more restrictions, the key element limited by sentence "including a ...", it is not excluded that
Also there is other identical element in process, method, article or equipment including the key element.
The foregoing description of the disclosed embodiments, enables professional and technical personnel in the field to realize or uses the present invention.
Various modifications to these embodiments will be apparent for those skilled in the art, as defined herein
General Principle can be realized in other embodiments without departing from the spirit or scope of the present invention.Therefore, the present invention
The embodiments shown herein is not intended to be limited to, and is to fit to and principles disclosed herein and features of novelty phase one
The scope most wide for causing.
Claims (6)
1. a kind of distributed type assemblies visible database, it is characterised in that including：
Data source, the monitoring data for depositing each server in the distributed type assemblies；
Visualization component, the monitoring data for obtaining and according to being stored in the data source draws the data drawing list of each index
And transmission to front-end interface is shown；
Components of data analysis, for obtaining the monitoring data stored in the data source；Respectively will be each in the monitoring data
The data of individual index are compared with corresponding predetermined threshold value, and to the failure feelings of the achievement data beyond corresponding predetermined threshold value
Condition is recorded, and obtains anomaly analysis result；For user Fault Control treatment is carried out according to the anomaly analysis result.
2. visible database according to claim 1, it is characterised in that the components of data analysis is specifically included：
Acquiring unit, for obtaining the monitoring data stored in the data source；
Comparing unit, for respectively being compared the data of each index in the monitoring data with corresponding predetermined threshold value
Compared with obtaining comparative result；
Analytic unit, for according to the comparative result, the failure situation to the achievement data beyond corresponding predetermined threshold value to be entered
Row analysis, determines fault type；
File generating unit, for calling default processing scheme according to the fault type, and by the failure situation, described
Fault type and the processing scheme generate the anomaly analysis result；For user event is carried out according to the anomaly analysis result
Barrier control process.
3. visible database according to claim 2, it is characterised in that the components of data analysis also includes：
Mark unit, in the front-end interface to the data corresponding to the data of the index beyond corresponding predetermined threshold value
Chart carries out failure mark display.
4. method according to claim 3, it is characterised in that the components of data analysis also includes：
Triggering call unit, the trigger action for receiving data drawing list of the user to being marked with the failure, in response to institute
Trigger action is stated, calls anomaly analysis result corresponding with the index shown by toggled data drawing list to be shown.
5. method according to claim 1, it is characterised in that the components of data analysis also includes：
Communication unit, for the anomaly analysis result to be sent into user by default communication mode.
6. method according to claim 1, it is characterised in that the components of data analysis also includes：
Alarm Unit, for the anomaly analysis result to be shown in pop-up form in the front-end interface.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710013004.7A CN106709057A (en) | 2017-01-09 | 2017-01-09 | Distributed cluster visualized database |
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| CN201710013004.7A CN106709057A (en) | 2017-01-09 | 2017-01-09 | Distributed cluster visualized database |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107818448A (en) * | 2017-09-29 | 2018-03-20 | 北京博泰创智科技有限公司 | A kind of integrated service system and method for human resources |
| CN109542722A (en) * | 2018-11-08 | 2019-03-29 | 东软集团股份有限公司 | Anomaly analysis processing method, device and storage medium |
| CN110210705A (en) * | 2019-04-29 | 2019-09-06 | 德邦物流股份有限公司 | A kind of data analysing method and system |
| CN110750414A (en) * | 2019-09-06 | 2020-02-04 | 上海陆家嘴国际金融资产交易市场股份有限公司 | Mobile data monitoring and analyzing method and device, computer equipment and storage medium |
| CN111258888A (en) * | 2020-01-09 | 2020-06-09 | 上海丰蕾信息科技有限公司 | Data report generation and analysis system |
| CN112434198A (en) * | 2020-11-24 | 2021-03-02 | 深圳市明源云科技有限公司 | Chart component recommendation method and device |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN107818448A (en) * | 2017-09-29 | 2018-03-20 | 北京博泰创智科技有限公司 | A kind of integrated service system and method for human resources |
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| CN112434198A (en) * | 2020-11-24 | 2021-03-02 | 深圳市明源云科技有限公司 | Chart component recommendation method and device |
| CN112434198B (en) * | 2020-11-24 | 2024-05-24 | 深圳市明源云科技有限公司 | Chart component recommending method and device |
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