CN106250303A - Business diary collection and early warning system and business diary collection and method for early warning - Google Patents
Business diary collection and early warning system and business diary collection and method for early warning Download PDFInfo
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- CN106250303A CN106250303A CN201610609350.7A CN201610609350A CN106250303A CN 106250303 A CN106250303 A CN 106250303A CN 201610609350 A CN201610609350 A CN 201610609350A CN 106250303 A CN106250303 A CN 106250303A
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- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
- G06F11/3466—Performance evaluation by tracing or monitoring
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- G—PHYSICS
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- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
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Abstract
This application discloses a kind of business diary collection and early warning system and business diary collection and method for early warning, business diary collection and early warning system include: acceptance division, for obtaining configuration information, configuration information includes business diary kind to be received and receives rule, business diary kind to be received is the subset of pre-set business daily record kind set, receives business diary according to configuration information and is stored in search server according to default key element establishment index;Configuration section, is used for obtaining early warning rule;Scheduling unit, for according to early warning rule invocation early warning task;Analysis unit, is used for resolving early warning task, and carries out statistical analysis according to the business diary to being stored in search server of the early warning task after resolving, generate early warning result and be stored in data base;Display part, is used for showing early warning result.When business diary kind to be received is modified by needs, it is only necessary to utilize acceptance division to input new configuration information and can carry out collection and the storage of business diary according to new configuration information.
Description
Technical field
The application designs data collection and processing technology field, more particularly, it relates to a kind of business diary is collected and pre-
Alarm system and business diary collection and method for early warning.
Background technology
In IT technical field, the set of mass data is referred to as big data, and big data are that one has magnanimity, high growth rate
With the information assets of variation characteristic, this information assets is for all having huge applications meaning from the point of view of certain industry or certain enterprise
Justice.Along with the development of big data technique, the memory technology of business diary is increasingly paid attention to by enterprise, builds depositing of business diary
Storage platform can make enterprise that internal business diary is collected and is stored, and the business diary to storage carries out concentrate tube
Reason, find in advance the exception in these business diaries and process to reduce enterprise loss be significant;And business day
The storage platform of will can make the operation system integrated level of enterprise higher, it is simple to management, additionally the centralized stores of business diary is also
It is convenient for the correlation analysis between enterprise's different business daily record, business administration and development are significant.
But, the versatility of business diary of the prior art storage platform is poor and do not have warning function, when along with
The development of enterprise occur new business diary kind need storage or data volume excessive need business diary storage platform carry out from
During dynamic early warning, technical professional is needed to carry out script edit to realize the upgrading to business diary storage platform, this mistake
Journey is not only complicated but also general enterprise personnel cannot grasp the technology of script edit.
Summary of the invention
For solving above-mentioned technical problem, the invention provides a kind of business diary collection and early warning system and business diary is received
Collection and method for early warning, to realize providing a kind of versatility preferably and to have the business diary collection of warning function and early warning system
Purpose.
For realizing above-mentioned technical purpose, embodiments provide following technical scheme:
A kind of business diary collection and early warning system, including:
Acceptance division, is used for obtaining configuration information, and described configuration information includes business diary kind to be received and receives rule,
Described business diary kind to be received is the subset of pre-set business daily record kind set, receives business day according to described configuration information
Will is also stored in search server according to default key element establishment index;
Configuration section, is used for obtaining early warning rule;
Scheduling unit, for according to described early warning rule invocation early warning task;
Analysis unit, is used for resolving described early warning task, and according to the early warning task after resolving to being stored in described search clothes
Business diary in business device carries out statistical analysis, generates early warning result and is stored in data base;
Display part, is used for showing described early warning result.
Preferably, described default key element is the date.
Preferably, described early warning rule is made up of at least one parameter preset, and described parameter preset includes business diary kind
Class, time period, field value, preset rules and occurrence number.
Preferably, described scheduling unit is specifically for setting predeterminated frequency, and adjusts according to described predeterminated frequency and early warning rule
Use early warning task.
Preferably, described acceptance division is that daily record collection processes framework.
A kind of business diary collection and method for early warning, including:
Obtaining configuration information, described configuration information includes business diary kind to be received and receives rule, described to be received
Business diary kind is the subset of pre-set business daily record kind set;
Receive business diary according to described configuration information and be stored in search server according to default key element establishment index;
Acquisition early warning rule;
According to described early warning rule invocation early warning task;
Resolve described early warning task, and according to the business to being stored in described search server of the early warning task after resolving
Daily record carries out statistical analysis, generates early warning result;
Described early warning result is stored in data base;
Show described early warning result.
Preferably, described default key element is the date.
Preferably, described early warning rule is made up of at least one parameter preset, described parameter preset include daily record kind, time
Between section, field value, preset rules and occurrence number.
Preferably, described include according to described early warning rule invocation early warning task:
Set predeterminated frequency;
According to described predeterminated frequency and early warning rule invocation early warning task.
Preferably, described acquisition configuration information includes:
Process framework by daily record collection and generate configuration information.
From technique scheme it can be seen that embodiments provide a kind of business diary collection and early warning system and
Business diary collection and method for early warning, wherein, the acceptance division of described business diary collection and early warning system is used for obtaining configuration letter
Breath also receives business diary according to described configuration information and is stored in search server according to default key element establishment index, described
Configuration information includes business diary kind to be received and receives rule, and described business diary kind to be received is pre-set business day
The subset of will kind set, when enterprise needs to be modified business diary kind to be received, it is only necessary to utilize described reception
Portion inputs new configuration information can carry out collection and the storage of business diary according to new configuration information.
It addition, described business diary collection and early warning system can also carry out the defeated of early warning rule by described configuration section
Enter, call and resolve early warning task by described scheduling unit and analysis unit, and according to the early warning task after resolving to being stored in
State the business diary in search server and carry out statistical analysis, generate early warning result and be stored in data base, it is achieved to business day
The early warning of will;Same, when early warning rule is updated by needs, it is only necessary to by the pre-police regulations that the input of described configuration section is new
Then, the versatility of the most described business diary collection and early warning system is higher, it is not necessary to technical professional carries out foot
Originally write and system is updated, only can realize new business diary by the renewal of simple configuration information and early warning rule
The collection storage of kind, and realize warning function according to new early warning rule.
Accompanying drawing explanation
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
In having technology to describe, the required accompanying drawing used is briefly described, it should be apparent that, the accompanying drawing in describing below is only this
Inventive embodiment, for those of ordinary skill in the art, on the premise of not paying creative work, it is also possible to according to
The accompanying drawing provided obtains other accompanying drawing.
A kind of business diary collection of the embodiment offer that Fig. 1 is the application and the structural representation of early warning system;
A kind of business diary collection of the embodiment offer that Fig. 2 is the application and the schematic flow sheet of method for early warning.
Detailed description of the invention
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Describe, it is clear that described embodiment is only a part of embodiment of the present invention rather than whole embodiments wholely.Based on
Embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained under not making creative work premise
Embodiment, broadly falls into the scope of protection of the invention.
The embodiment of the present application provides a kind of business diary collection and early warning system, as it is shown in figure 1, include:
Acceptance division 100, is used for obtaining configuration information, and described configuration information includes business diary kind to be received and receives rule
Then, described business diary kind to be received is the subset of pre-set business daily record kind set, receives industry according to described configuration information
Business daily record is also stored in search server according to default key element establishment index;
Configuration section 200, is used for obtaining early warning rule;
Scheduling unit 300, for according to described early warning rule invocation early warning task;
Analysis unit 400, is used for resolving described early warning task, and according to the early warning task after resolving to being stored in described search
Business diary in server carries out statistical analysis, generates early warning result and is stored in data base;
Display part 500, is used for showing described early warning result.
It should be noted that described pre-set business daily record kind set includes the business diary kind in conventional source,
Such as be stored in the business diary in data base, syslog business diary, the business diary stored in the form of text and with
The business diary data etc. that http mode or webservice mode send.The application is to described pre-set business daily record kind set
Concrete business diary kind included by does not limit, concrete depending on practical situation.Described configuration information includes
Business diary kind to be received is the subset of described pre-set business daily record kind set, i.e. needs business day to be received when enterprise
When will kind is modified, can be able to realize needs are collected by inputting different configuration informations to described acceptance division 100
The renewal of the business diary with early warning, this renewal can be at the original base needing to collect the kind of the business diary with early warning
Increase on plinth, it is also possible to be the deletion on the basis of the original business diary kind needing collection and early warning, it is also possible to be
Replace original needs completely to collect and the business diary kind of early warning.
It addition, described reception rule is the data cryptogram for different types of business diary, such as being stored in number
For the business diary in storehouse, owing to data base itself does not possess sending function, described acceptance division 100 is needed to go in data base
Obtain data, it is therefore desirable to arrange for such business diary and receive rule accordingly.Same, other kinds of industry
Business daily record needs to receive rule accordingly too, owing to arranging corresponding reception rule according to different types of business diary
Method is well known to those skilled in the art, and therefore not to repeat here for the application.
It addition, described business diary collection and early warning system can also carry out early warning rule by described configuration section 200
Input, calls and resolves early warning task by described scheduling unit 300 and analysis unit 400, and according to the early warning task pair after resolving
It is stored in the business diary in described search server and carries out statistical analysis, generate early warning result and be stored in data base, it is achieved
Early warning to business diary;Same, when early warning rule is updated by needs, it is only necessary to defeated by described configuration section 200
Entering new early warning rule, the versatility of the most described business diary collection and early warning system is higher, can be by simple
The renewal of configuration information and early warning rule realizes the collection storage of new business diary kind, and real according to new early warning rule
Existing warning function.
Also, it should be noted described search server is preferably Elasticsearch, but other kinds of search services
Device also can, the data base storing described early warning result is preferably mysql data base, and same, other kinds of data base also fits
The described business diary collection provided for the application and early warning system.
On the basis of above-described embodiment, in an embodiment of the application, described default key element is the date.
In the present embodiment, after described acceptance division 100 receives business diary according to described configuration information, it is rope according to the date
Draw and be stored in search server, in order to described analysis unit 400 is easy to being stored in described search clothes in prealarming process
The statistical analysis of the business diary in business device.This is because all have stronger ageing generally for the early warning of business diary,
It is that index carries out storing the business day advantageously reducing described analysis unit 400 to being stored in described search server according to the date
Will carries out the workload of statistical analysis, promotes work efficiency.
But in other embodiments of the application, described default key element can also be big for business diary kind or business diary
Little or business diary title.The concrete kind of described default key element is not limited by the application, concrete depending on practical situation.
On the basis of above-described embodiment, in another embodiment of the application, described early warning rule is by least one
Presetting key element to constitute, described default key element includes business diary kind, time period, field value, preset rules and occurrence number.
In the present embodiment, described early warning rule has general expression formula, and described expression formula is that certain class business diary exists
In certain time period, certain field value meets the number of times that the daily record of certain ad hoc rule occurs.Including default key element (industry
Business daily record kind, time period, field value, preset rules and occurrence number) can be combined (at least including according to practical situation
One described default key element), and the value of described default key element can also be set according to practical situation.The application is to this also
Do not limit, specifically depending on practical situation.Such as using identification card number as the particular content of described field value, when being stored in
When stating the numeric string occurring meeting identification card number rule in the business diary in search server, then it is assumed that this business diary is different
Often business diary, by the typing texts such as the description of the generation time of this business diary, the content comprised and early warning reason, raw
Described early warning result is become to be stored in data base and show, to realize the early warning to abnormal traffic daily record.It can in addition contain with certain
One class business diary kind as described early warning rule composition, such as when A service daily record be a certain enterprise forbid occur
During business diary, when the business diary being stored in described search server is carried out statistical analysis, as long as finding described A class
During business diary, can be by typing texts such as the descriptions of the generation time of this business diary, the content comprised and early warning reason
In, generate described early warning result and be stored in data base and show, to realize the early warning to abnormal traffic daily record.
On the basis of above-described embodiment, in another embodiment of the application, described scheduling unit 300 is specifically for setting
Determine predeterminated frequency, and according to described predeterminated frequency and early warning rule invocation early warning task.
In the present embodiment, described predeterminated frequency refers to call the frequency of early warning task every the some time, is such as setting
After reserving described early warning rule, described scheduling unit 300 can carry out calling of early warning task at certain time point of every day, it is possible to
Every ten minutes or often to carry out calling of early warning task every other hour.The size of described predeterminated frequency can be according to actual peace
Depending on full level requirements, when needing to carry out frequently the business diary being stored in described search server being carried out early warning,
Can be arranged by described predeterminated frequency is smaller, the most each minute or every five minutes etc.;When to being stored in described search clothes
When the early warning demand of the business diary in business device is relatively low, can the size of described predeterminated frequency be arranged is larger, the most often
24 hours or per hour etc..The concrete value of described predeterminated frequency is not limited by the application, concrete depending on practical situation.
On the basis of above-described embodiment, in a preferred embodiment of the application, described acceptance division 100 is searched for daily record
Collection processes framework.Such as logstash etc., the concrete kind that the application processes framework to above-mentioned daily record collection does not limit, tool
Depending on stereoscopic practical situation.
Accordingly, the embodiment of the present application additionally provides a kind of business diary collection and method for early warning, as in figure 2 it is shown, include:
S101: obtain configuration information, described configuration information include business diary kind to be received and receive rule, described in treat
Receive the subset that business diary kind is pre-set business daily record kind set;
S102: receive business diary according to described configuration information and be stored in search service according to default key element establishment index
In device;
S103: obtain early warning rule;
S104: according to described early warning rule invocation early warning task;
S105: resolve described early warning task, and according to the early warning task after resolving to being stored in described search server
Business diary carry out statistical analysis, generate early warning result;
S106: described early warning result is stored in data base;
S107: show described early warning result.
It should be noted that described pre-set business daily record kind set includes the business diary kind in conventional source,
Such as be stored in the business diary in data base, syslog business diary, the business diary stored in the form of text and with
The business diary data etc. that http mode or webservice mode send, the application is to described pre-set business daily record kind set
Concrete business diary kind included by does not limit, concrete depending on practical situation.Described configuration information includes
Business diary kind to be received is the subset of described pre-set business daily record kind set, i.e. needs business day to be received when enterprise
When will kind is modified, can realize by the way of the configuration information that input is different needing to collect and the business day of early warning
The renewal of will, this renewal can be the increase on the basis of the kind of the original business diary needing collection and early warning, also
Can be the deletion on the basis of the original business diary kind needing collection and early warning, it is also possible to be to replace originally to need completely
Collect the business diary kind with early warning.
It addition, described reception rule is the data cryptogram for different types of business diary, such as database sector
For business daily record, data base itself does not possess sending function, needs described acceptance division 100 to go in data base and obtains data, therefore
It is required for such data bank service daily record to arrange and receive rule accordingly.Same, other kinds of business diary
Need too to receive rule accordingly, owing to having arranged the method for corresponding reception rule according to different types of business diary
Being well known to those skilled in the art, therefore not to repeat here for the application.
It addition, then described business diary collection and early warning system can also be called by configuring early warning rule and resolve
Early warning task, and carry out statistical according to the business diary to being stored in described search server of the early warning task after resolving
Analysis, the mode generating early warning result realizes the early warning to business diary;Same, when early warning rule is updated by needs,
Having only to input new early warning rule, the versatility of the most described business diary collection and early warning system is higher, Ke Yitong
The renewal crossing simple configuration information and early warning rule realizes the collection storage of new business diary kind, and according to new pre-
Police regulations then realize warning function.
Also, it should be noted described search server is preferably Elasticsearch, but other kinds of search services
Device also can, the data base storing described early warning result is preferably mysql data base, and same, other kinds of data base also fits
The described business diary collection provided for the application and early warning system.
On the basis of above-described embodiment, in an embodiment of the application, described default key element is the date.
In the present embodiment, after described acceptance division 100 receives business diary according to described configuration information, it is rope according to the date
Draw and be stored in search server, in order to described analysis unit 400 is easy to being stored in described search clothes in prealarming process
The statistical analysis of the business diary in business device.This is because all have stronger ageing generally for the early warning of business diary,
It is that index carries out storing the business day advantageously reducing described analysis unit 400 to being stored in described search server according to the date
Will carries out the workload of statistical analysis, promotes work efficiency.
But in other embodiments of the application, described default key element can also be big for business diary kind or business diary
Little or business diary title.The concrete kind of described default key element is not limited by the application, concrete depending on practical situation.
On the basis of above-described embodiment, in another embodiment of the application, described early warning rule is by least one
Presetting key element to constitute, described default key element includes business diary kind, time period, field value, preset rules and occurrence number.
In the present embodiment, described early warning rule has general expression formula, and described expression formula is that certain class business diary exists
In certain time period, certain field value meets the number of times that the daily record of certain ad hoc rule occurs.Including default key element (industry
Business daily record kind, time period, field value, preset rules and occurrence number) can be combined (at least including according to practical situation
One described default key element), and the value of described default key element can also be set according to practical situation.The application is to this also
Do not limit, specifically depending on practical situation.Such as using identification card number as the particular content of described field value, when being stored in
When stating the numeric string occurring meeting identification card number rule in the business diary in search server, then it is assumed that this business diary is different
Often business diary, by the typing texts such as the description of the generation time of this business diary, the content comprised and early warning reason, raw
Become described early warning result and show, to realize the early warning to abnormal traffic daily record.It can in addition contain with a certain class business day
Will kind is as the composition of described early warning rule, such as when A service daily record is the business diary that a certain enterprise forbids appearance,
When the business diary being stored in described search server is carried out statistical analysis, as long as find described A service daily record,
Can generate described by the typing texts such as the description of the generation time of this business diary, the content comprised and early warning reason
Early warning result is stored in data base and shows, to realize the early warning to abnormal traffic daily record.
On the basis of above-described embodiment, in another embodiment of the application, described according to described early warning rule tune
Include by early warning task:
Set predeterminated frequency;
According to described predeterminated frequency and early warning rule invocation early warning task.
In the present embodiment, described predeterminated frequency refers to call the frequency of early warning task every the some time, is such as setting
After reserving described early warning rule, described scheduling unit 300 can carry out calling of early warning task at certain time point of every day, it is possible to
Every ten minutes or often to carry out calling of early warning task every other hour.The size of described predeterminated frequency can be according to actual peace
Depending on full level requirements, when needing to carry out frequently the business diary being stored in described search server being carried out early warning,
Can be arranged by described predeterminated frequency is smaller, the most each minute or every five minutes etc.;When to being stored in described search clothes
When the early warning demand of the business diary in business device is relatively low, can the size of described predeterminated frequency be arranged is larger, the most often
24 hours or per hour etc..The concrete value of above-mentioned predeterminated frequency is not limited by the application, concrete depending on practical situation.
On the basis of above-described embodiment, in a preferred embodiment of the application, described acquisition configuration information includes:
Process framework by daily record collection and generate configuration information.
In an embodiment of the application, it is logstash that described daily record collection processes framework, and the application is to above-mentioned day
Will collection processes the concrete kind of framework and does not limit, concrete depending on practical situation.
In sum, the embodiment of the present application provides a kind of business diary collection and early warning system and business diary is collected and
Method for early warning, wherein, acceptance division 100 term of described business diary collection and early warning system obtains configuration information and according to described
Configuration information receives business diary and is stored in search server according to default key element establishment index, wraps in described configuration information
Including business diary kind to be received and accept rule, described business diary kind to be received is pre-set business daily record kind set
Subset, when enterprise needs to be modified business diary kind to be received, it is only necessary to utilize described acceptance division 100 to input new
Configuration information can carry out collection and the storage of business diary according to new configuration information.
It addition, described business diary collection and early warning system can also carry out early warning rule by described configuration section 200
Input, calls and resolves early warning task by described scheduling unit 300 and analysis unit 400, and according to the early warning task pair after resolving
It is stored in the business diary in described search server and carries out statistical analysis, generate early warning result and be stored in data base, it is achieved
Early warning to business diary;Same, when early warning rule is updated by needs, it is only necessary to defeated by described configuration section 200
Entering new early warning rule, the versatility of the most described business diary collection and early warning system is higher, it is not necessary to the skill of specialty
Art personnel carry out script edit and are updated system, can only be realized by the renewal of simple configuration information and early warning rule
The collection storage of new business diary kind, and realize warning function according to new early warning rule.
In this specification, each embodiment uses the mode gone forward one by one to describe, and what each embodiment stressed is and other
The difference of embodiment, between each embodiment, identical similar portion sees mutually.
Described above to the disclosed embodiments, makes professional and technical personnel in the field be capable of or uses the present invention.
Multiple amendment to these embodiments will be apparent from for those skilled in the art, as defined herein
General Principle can realize without departing from the spirit or scope of the present invention in other embodiments.Therefore, the present invention
It is not intended to be limited to the embodiments shown herein, and is to fit to and principles disclosed herein and features of novelty phase one
The widest scope caused.
Claims (10)
1. a business diary collection and early warning system, it is characterised in that including:
Acceptance division, is used for obtaining configuration information, and described configuration information includes business diary kind to be received and receives rule, described
Business diary kind to be received is the subset of pre-set business daily record kind set, receives business diary also according to described configuration information
Create index according to default key element to be stored in search server;
Configuration section, is used for obtaining early warning rule;
Scheduling unit, for according to described early warning rule invocation early warning task;
Analysis unit, is used for resolving described early warning task, and according to the early warning task after resolving to being stored in described search server
In business diary carry out statistical analysis, generate early warning result and be stored in data base;
Display part, is used for showing described early warning result.
Business diary collection the most according to claim 1 and early warning system, it is characterised in that described default key element is day
Phase.
Business diary collection the most according to claim 1 and early warning system, it is characterised in that described early warning rule is by least
One parameter preset is constituted, and described parameter preset includes business diary kind, time period, field value, preset rules and goes out occurrence
Number.
Business diary collection the most according to claim 1 and early warning system, it is characterised in that described scheduling unit specifically for
Set predeterminated frequency, and according to described predeterminated frequency and early warning rule invocation early warning task.
Business diary collection the most according to claim 1 and early warning system, it is characterised in that described acceptance division is that daily record is searched
Collection processes framework.
6. a business diary collection and method for early warning, it is characterised in that including:
Obtaining configuration information, described configuration information includes business diary kind to be received and receives rule, described business to be received
Daily record kind is the subset of pre-set business daily record kind set;
Receive business diary according to described configuration information and be stored in search server according to default key element establishment index;
Acquisition early warning rule;
According to described early warning rule invocation early warning task;
Resolve described early warning task, and according to the business diary to being stored in described search server of the early warning task after resolving
Carry out statistical analysis, generate early warning result;
Described early warning result is stored in data base;
Show described early warning result.
Business diary collection the most according to claim 6 and method for early warning, it is characterised in that described default key element is day
Phase.
Business diary collection the most according to claim 6 and method for early warning, it is characterised in that described early warning rule is by least
One parameter preset is constituted, and described parameter preset includes daily record kind, time period, field value, preset rules and occurrence number.
Business diary collection the most according to claim 6 and method for early warning, it is characterised in that described according to described pre-police regulations
Then call early warning task to include:
Set predeterminated frequency;
According to described predeterminated frequency and early warning rule invocation early warning task.
Business diary collection the most according to claim 6 and method for early warning, it is characterised in that described acquisition configuration information
Including:
Process framework by daily record collection and generate configuration information.
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CN107766219A (en) * | 2017-10-30 | 2018-03-06 | 郑州云海信息技术有限公司 | Automated testing log collection method, system, equipment and computer memory device |
CN108520052A (en) * | 2018-04-04 | 2018-09-11 | 武汉斗鱼网络科技有限公司 | Slow Query Information search method, device, server and readable storage medium storing program for executing |
CN109144817A (en) * | 2018-08-03 | 2019-01-04 | 江苏满运软件科技有限公司 | A kind of daily record data monitoring system and method |
CN110765125A (en) * | 2018-07-25 | 2020-02-07 | 杭州海康威视数字技术股份有限公司 | Data storage method and device |
CN112365206A (en) * | 2020-11-05 | 2021-02-12 | 上海东普信息科技有限公司 | Express scanning data return abnormity early warning method and device |
CN112463570A (en) * | 2020-12-15 | 2021-03-09 | 航天信息股份有限公司 | Log statistical method, device and system |
CN113391990A (en) * | 2021-06-30 | 2021-09-14 | 未鲲(上海)科技服务有限公司 | System log monitoring method, device, equipment and storage medium |
CN113722194A (en) * | 2021-08-02 | 2021-11-30 | 中移(杭州)信息技术有限公司 | Log statistical method, device, equipment and storage medium |
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Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20140172919A1 (en) * | 2012-12-18 | 2014-06-19 | Cisco Technology, Inc. | Automatic correlation of dynamic system events within computing devices |
CN104537015A (en) * | 2014-12-19 | 2015-04-22 | 电信科学技术第十研究所 | Log analysis computer implementation method, computer and system |
CN105183609A (en) * | 2015-09-16 | 2015-12-23 | 焦点科技股份有限公司 | Real-time monitoring system and method applied to software system |
CN105577445A (en) * | 2015-12-30 | 2016-05-11 | 北京京东尚科信息技术有限公司 | Method and device for collecting and reporting logs |
-
2016
- 2016-07-28 CN CN201610609350.7A patent/CN106250303A/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20140172919A1 (en) * | 2012-12-18 | 2014-06-19 | Cisco Technology, Inc. | Automatic correlation of dynamic system events within computing devices |
CN104537015A (en) * | 2014-12-19 | 2015-04-22 | 电信科学技术第十研究所 | Log analysis computer implementation method, computer and system |
CN105183609A (en) * | 2015-09-16 | 2015-12-23 | 焦点科技股份有限公司 | Real-time monitoring system and method applied to software system |
CN105577445A (en) * | 2015-12-30 | 2016-05-11 | 北京京东尚科信息技术有限公司 | Method and device for collecting and reporting logs |
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CN107766219A (en) * | 2017-10-30 | 2018-03-06 | 郑州云海信息技术有限公司 | Automated testing log collection method, system, equipment and computer memory device |
CN108520052A (en) * | 2018-04-04 | 2018-09-11 | 武汉斗鱼网络科技有限公司 | Slow Query Information search method, device, server and readable storage medium storing program for executing |
CN108520052B (en) * | 2018-04-04 | 2021-02-02 | 武汉斗鱼网络科技有限公司 | Slow query information retrieval method and device, server and readable storage medium |
CN110765125A (en) * | 2018-07-25 | 2020-02-07 | 杭州海康威视数字技术股份有限公司 | Data storage method and device |
CN109144817A (en) * | 2018-08-03 | 2019-01-04 | 江苏满运软件科技有限公司 | A kind of daily record data monitoring system and method |
CN112365206A (en) * | 2020-11-05 | 2021-02-12 | 上海东普信息科技有限公司 | Express scanning data return abnormity early warning method and device |
CN112463570A (en) * | 2020-12-15 | 2021-03-09 | 航天信息股份有限公司 | Log statistical method, device and system |
CN112463570B (en) * | 2020-12-15 | 2024-04-09 | 航天信息股份有限公司 | Log statistics method, device and system |
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CN113722194B (en) * | 2021-08-02 | 2024-05-24 | 中移(杭州)信息技术有限公司 | Log statistics method, device, equipment and storage medium |
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