CN103778041B - Data monitoring method and device for internet - Google Patents
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- CN103778041B CN103778041B CN201210398199.9A CN201210398199A CN103778041B CN 103778041 B CN103778041 B CN 103778041B CN 201210398199 A CN201210398199 A CN 201210398199A CN 103778041 B CN103778041 B CN 103778041B
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Abstract
The invention discloses a kind of data monitoring methods and device for internet.The data monitoring method of the internet includes: acquisition request data；Request data is written in tables of data；The data in tables of data are counted according to default rule, and will be in the data write-in result table after statistics；Data in result table are written in shared drive；And report data in shared drive.Through the invention, it solves the problems, such as that data monitoring method in the prior art is difficult to realize to data overall monitor, and then has achieved the effect that internet data overall monitor.
Description
Technical field
The present invention relates to internet areas, in particular to a kind of data monitoring method and device for internet.
Background technique
With the continuous development of Internet technology, the user of magnanimity, the fast propagation of terminal and information abundant, both
The content of internet is enriched, and higher requirement is provided to internet QoS in turn.
In order to preferably provide the user with service, needs to be monitored the data on internet, mention in the prior art
A kind of data monitoring method for internet is supplied, as shown in Figure 1, business process after receiving external request, is incited somebody to action
The request is forwarded to bypath system, and shared drive is written in monitoring data by bypath system, the agent process being deployed in kiosk
Data in shared drive are reported to the process AgentSrv, AgentSrv at monitoring service end real-time by AgentClient timing
The data that AgentClient is reported are received, and monitoring data is analyzed, in the alarm that notes abnormalities.Due to bypath system
Design comparison it is simple, can only do it is some simply report, such as packet amount, business source, terminal source.For in the slice time
Independent number, data access section distribution, all cannot achieve and report.
For the content that bypath system can not report, the mode for bypath system record Log is taken to carry out offline analysis
Mode be monitored, it is contemplated that the daily access number of Internet Server accordingly T count, the packet amount of every 40W/s, write Log almost at
One impossible mission, and offline analysis occupies disk, cpu resource, thus, it is difficult to realize pair by the prior art
The overall monitor of data.
Aiming at the problem that data monitoring method in the prior art is difficult to realize to data overall monitor, not yet propose at present
Effective solution scheme.
Summary of the invention
It is existing to solve the main purpose of the present invention is to provide a kind of data monitoring method and device for internet
Data monitoring method in technology is difficult to realize the problem of to data overall monitor.
To achieve the goals above, according to an aspect of the invention, there is provided a kind of data monitoring for internet
Method.The data monitoring method of the internet includes: acquisition request data；Request data is written in tables of data；According to default
Rule the data in tables of data are counted, and by after statistics data write-in result table in；By the data in result table
It is written in shared drive；And report data in shared drive.
Further, according to default rule to the data in tables of data carry out statistics include using it is following any one or
Person's various ways count: distinguishing statistics to the data in tables of data according to the source of access；According to every message
Access times carry out subregion statistics to the data in tables of data；And the distribution according to access times statistical iteration message.
Further, the data in result table are written in shared drive includes: acquisition prefixed time interval；And it is every
It is spaced prefixed time interval and executes write-once.
Further, the data in result table are written in shared drive includes: data write-in the by result table
One shared drive, wherein the first shared drive be and be deployed in kiosk agent process communication shared drive, report altogether
Enjoy the data in memory include: by agent process by the data in the first shared drive report to the monitoring at monitoring service end into
Journey.
Further, acquisition request data include: reception data request packet；And data request packet is analyzed, it obtains
To request data.
Further, carrying out statistics to the data in tables of data according to default rule includes: according to the first preset rules
Data in tables of data are counted；The second preset rules are received, and the first preset rules are updated to the second preset rules；
And the data in tables of data are counted according to the second preset rules；
To achieve the goals above, according to another aspect of the present invention, a kind of data monitoring for internet is provided
Device.The data monitoring device of the internet includes: acquiring unit, is used for acquisition request data；First writing unit, being used for will
Request data is written in tables of data；Statistic unit, for being counted according to default rule to the data in tables of data, and will
In data write-in result table after statistics；Second writing unit, for the data in result table to be written in shared drive；With
And reporting unit, for reporting the data in shared drive.
Further, statistic unit includes any one following or multiple statistic unit: the first statistic unit, is used for root
Statistics is distinguished to the data in tables of data according to the source of access；Second statistic unit, for the access according to every message
Number carries out subregion statistics to the data in tables of data；And third statistic unit, for being disappeared according to access times statistical iteration
The distribution of breath.
Further, the second writing unit includes: acquisition module, for obtaining prefixed time interval；And writing module,
For executing write-once at interval of prefixed time interval.
Further, the second writing unit is used to the data in result table the first shared drive is written, wherein first is total
Save as and be deployed in the shared drive of the agent process communication in kiosk in enjoying, reporting unit is used for the through agent process
Data in one shared drive report to the monitoring process at monitoring service end.
Further, acquiring unit includes: receiving unit, for receiving data request packet；And analytical unit, for pair
Data request packet is analyzed, and request data is obtained.
Further, statistic unit includes: the 4th statistic unit, for according to the first preset rules to the number in tables of data
According to being counted；First preset rules for receiving the second preset rules, and are updated to the second preset rules by updating unit；
And the 5th statistic unit, for being counted according to the second preset rules to the data in tables of data.
Through the invention, data write-in is carried out respectively due to using tables of data and result table, tables of data is for being written original
Beginning data, as a result table reports the data in result table by shared drive, solves existing for statistical data to be written
Data monitoring method in technology is difficult to realize the problem of to data overall monitor, and then has reached and supervised comprehensively to internet data
The effect of control.
Detailed description of the invention
The attached drawing constituted part of this application is used to provide further understanding of the present invention, schematic reality of the invention
It applies example and its explanation is used to explain the present invention, do not constitute improper limitations of the present invention.In the accompanying drawings:
Fig. 1 is the schematic diagram of data monitoring method according to prior art；
Fig. 2 is the schematic diagram of data monitoring method according to an embodiment of the present invention；
Fig. 3 is the flow chart of data monitoring method according to an embodiment of the present invention；
Fig. 4 is the schematic diagram of tables of data in data monitoring method according to an embodiment of the present invention；
Fig. 5 is the schematic diagram of result table in data monitoring method according to an embodiment of the present invention；
Fig. 6 is a kind of flow chart of preferred embodiment of data monitoring method according to an embodiment of the present invention；
Fig. 7 is the schematic diagram of data monitoring device according to an embodiment of the present invention；
Fig. 8 is the schematic diagram of the first preferred embodiment of data monitoring device according to an embodiment of the present invention；
Fig. 9 is the schematic diagram of the second preferred embodiment of data monitoring device according to an embodiment of the present invention；And
Figure 10 is the schematic diagram of the third preferred embodiment of data monitoring device according to an embodiment of the present invention.
Specific embodiment
It should be noted that in the absence of conflict, the features in the embodiments and the embodiments of the present application can phase
Mutually combination.The present invention will be described in detail below with reference to the accompanying drawings and embodiments.
Fig. 2 is the schematic diagram of data monitoring method according to an embodiment of the present invention.The present invention is implemented below in conjunction with the figure
The data monitoring method of example is described.
As shown in Fig. 2, in the data monitoring method of the embodiment of the present invention, firstly, business process receives external user
Request, and the request packet is forwarded to bypath system, the bypath system at this is the program module of setting on the server,
For being monitored to the business process for providing online service, itself can not provide any online service, below with side
Data monitoring method of the invention is illustrated for the system of road, business process provides the process of online service for user, right
The request of user responds.Secondly, the request packet that bypath system forwards business process is analyzed, and will be after analysis
In obtained request data write-in tables of data, and the data in result table are calculated in real time.Then, bypath system is according to business need
It wants, in the shared drive for periodically communicating the data in result table, write-in and AgentClient.Finally, AgentClient is fixed
When AgentSrv that the data in shared drive are reported.Wherein, AgentClient be the agency that is deployed in kiosk into
Journey, for being communicated with shared drive, AgentSrv is the process for being deployed in monitoring service end, for the number on internet
According to executing monitoring.
Fig. 3 is the flow chart of data monitoring method according to an embodiment of the present invention.This method can be, but not limited in Fig. 2 institute
The schematic diagram shown executes, as shown in figure 3, the data monitoring method the following steps are included:
Step S102, bypath system acquisition request data.
Business process receives the request of external user first, and the request packet is forwarded to bypath system.Bypath system will
The request packet that business process forwards is analyzed, and gets request data by analysis.
For external request, the request for pulling microblogging homepage data can be.
Request data is written in tables of data for step S104, bypath system.
Tables of data can use tables of data shown in Fig. 4, in the tables of data, using business id+ data id as key, and
The location information of the hash node of request packet is mainly calculated according to business id+ data id, access times are a timeslices
Interior access times, when which is mainly used for section jump, if having 100 is a jump section critical point, it is as a result previous in table
A section will subtract 100, and the latter section will+100.Access time, which combines, calls time in last time for judging the section
Whether point is invalid node (the access data in a upper timeslice).
Step S106, bypath system count the data in tables of data according to default rule, and will be after statistics
Data are written in result table.
Preferably, it includes using following any that bypath system, which carries out statistics to the data in tables of data according to default rule,
One or more kinds of modes are counted.
Mode one:
Statistics is distinguished to the data in tables of data according to the source of access.
For example, the data in different access source are counted respectively, so as to respectively obtain different access source
Statistical data.
Mode two:
Subregion statistics is carried out to the data in tables of data according to the access times of every message.
For example, the data to the message for reaching certain access times are counted respectively, obtained by different access times
To different sections, the data in tables of data are counted for different sections.By this kind of mode, root can also be realized
According to access times, divides data into segment and counted.
Mode three:
According to the distribution of access times statistical iteration message.
Tables of data and result table can be set in shared drive, the data structure as shared drive.
Preferably, in order to enable the monitoring of data can need to carry out flexibly adjustment according to business monitoring, in the step
In rapid, bypath system can in accordance with the following methods be counted the data in tables of data, it is possible to further show that hot spot disappears
The distribution situation and message of breath learn pressure distribution situation through hearsay:
Firstly, bypath system counts the data in tables of data according to the first preset rules.
Then, bypath system receives the second preset rules, and the first preset rules are updated to the second preset rules.
Finally, bypath system counts the data in tables of data according to the second preset rules.
In this way, receiving setting of the user to rule by bypath system, and the rule of statistics is constantly updated, after update
Rule counted, achieved the purpose that business monitoring content is adjusted flexibly.
Data in result table are written in shared drive by step S108, bypath system.
The shared drive of the part can be bypass process application, be used for data statistics.
Preferably, in order to reduce write-in frequency and computing system consumption, bypath system writes the data in result table
Entering into shared drive can be in the following ways:
Firstly, bypath system obtains prefixed time interval.
Then, bypath system executes write-once at interval of prefixed time interval.
The prefixed time interval can be a preset Fixed Time Interval, is also possible to the demand based on user and carries out
The time interval of adjustment, in this manner it is possible to execute write-once at interval of certain time interval.
In order to improve the efficiency that reports in data monitoring, the data in result table are written in shared drive by bypath system
When, in the following ways:
The first shared drive is written in data in result table by bypath system, wherein the first shared drive is and is deployed in
The shared drive of agent process communication in kiosk.
That is, improving and writing in the shared drive that the data write-in in result table is communicated with the agent process in kiosk
The speed entered.
As a result table can use result table shown in fig. 5, have recorded the following contents in the result table:
A accesses independent counting number, number of the access times at section (T1, T2, T3 ...) in the data slicer time and divides
The independent strips number of cloth and access times at section (T1, T2, T3 ...) is distributed.
Step S110 reports the data in shared drive.
The first shared drive is written into the data in result table corresponding to the bypath system in step S108, in the step
In, the data in the first shared drive are reported to the monitoring process at monitoring service end by agent process.
The monitoring process AgentSrv at monitoring service end analyzes monitoring data, in the alarm that notes abnormalities.
In the data monitoring method of the embodiment of the present invention, data are carried out respectively and are write due to using tables of data and result table
Enter, tables of data is for being written initial data, and as a result table is for being written statistical data, by shared drive to the data in result table
It is reported, realizes the purpose of comprehensive data monitoring.
Fig. 6 is a kind of flow chart of preferred embodiment of data monitoring method according to an embodiment of the present invention.Such as Fig. 6 institute
Show, method includes the following steps:
Step S601 receives external request.
Step S602 judges whether to meet: calling time on current time-last time >=time interval is reported, in judging result
When to be, step S603 is executed, when the judgment result is No, executing step S604.
Distinguished by the judgement is in business reports in last timeslice request (that is, invalid data) or this
The data that the business in piece that calls time reports.
Step S603, reported result head statistical result value, and empty this statistical result value.
Step S604 finds corresponding back end according to hash value.
The back end can refer to an element in a Hash table, user's request, according to Hash function, energy
Enough calculating data should be stored in that data element.
Step S605, judges whether the value of the time of the first data access in timeslice in back end reported less than last time
Time value, when the judgment result is yes, execute step S606, when the judgment result is No, execute step S607.
Step S606 executes following operation:
1) back end is emptied, data are written
2) first time intervals+1 on result head
3) Id number+1 of result head independence
Step S407 executes following operation:
1) back end+1
2) some section number+1 of result head adjusts two bin counts if there is jump
3) if there is jump, in result head, bin count adds and subtracts 1 adjustment, two bin counts respectively.
It should be noted that step shown in the flowchart of the accompanying drawings can be in such as a group of computer-executable instructions
It is executed in computer system, although also, logical order is shown in flow charts, and it in some cases, can be with not
The sequence being same as herein executes shown or described step.
The embodiment of the invention also provides a kind of data monitoring devices for internet, it should be noted that the present invention
The data monitoring method of embodiment can through the embodiment of the present invention provided by data monitoring device execute, the present invention is implemented
The data monitoring device of example can be used for executing data monitoring method provided by the embodiment of the present invention.
Fig. 7 is the schematic diagram of data monitoring device according to an embodiment of the present invention.As shown in fig. 7, the data monitoring device
Including acquiring unit 10, the first writing unit 20, statistic unit 30, the second writing unit 40, reporting unit 50.
Acquiring unit 10 is used to pass through bypath system acquisition request data.
First writing unit 20 is used to that request data to be written in tables of data by bypath system.
Statistic unit 30 is used to count the data in tables of data according to default rule by bypath system, and will
In data write-in result table after statistics.
Data in result table for being written in shared drive by the second writing unit 40 by bypath system.
Reporting unit 50 is used for by reporting the data in shared drive.
It should be noted that above-mentioned the first writing unit 20 and the second writing unit 40 can be the same write-in list
Member is also possible to two independent writing units.
Fig. 8 is the schematic diagram of the first preferred embodiment of data monitoring device according to an embodiment of the present invention.
The data monitoring device of the embodiment includes acquiring unit 10, the first writing unit 20, statistic unit 30, second writes
Enter unit 40, reporting unit 50.Also, statistic unit 30 includes following any one or multiple statistic units:
First statistic unit 31, for distinguishing statistics to the data in tables of data according to the source of access.
Second statistic unit 32, for carrying out subregion system to the data in tables of data according to the access times of every message
Meter.And
Third statistic unit 33, for the distribution according to access times statistical iteration message.
Acquiring unit 10, the first writing unit 20, the second writing unit 40, reporting unit 50 effect with it is shown in Fig. 7
Embodiment is identical, and details are not described herein.
Fig. 9 is the schematic diagram of the second preferred embodiment of data monitoring device according to an embodiment of the present invention.
The data monitoring device of the embodiment includes acquiring unit 10, the first writing unit 20, statistic unit 30, second writes
Enter unit 40, reporting unit 50.Also, acquiring unit 10 includes:
Receiving unit 11, for receiving data request packet by bypath system.
Analytical unit 12 obtains request data for analyzing by bypath system data request packet.
First writing unit 20, statistic unit 30, the second writing unit 40, reporting unit 50 effect with it is shown in Fig. 7
Embodiment is identical, and details are not described herein.
Figure 10 is the schematic diagram of the third preferred embodiment of data monitoring device according to an embodiment of the present invention.
The data monitoring device of the embodiment includes acquiring unit 10, the first writing unit 20, statistic unit 30, second writes
Enter unit 40, reporting unit 50.Also, statistic unit 30 includes:
4th statistic unit 34, for being united according to the first preset rules to the data in tables of data by bypath system
Meter.
First preset rules for by bypath system the second preset rules of reception, and are updated to the by updating unit 35
Two preset rules.
5th statistic unit 36, for being united according to the second preset rules to the data in tables of data by bypath system
Meter.
It should be noted that the 4th above-mentioned statistic unit 34 and the 5th statistic unit 36 can be the same statistics list
Member is also possible to two independent statistic units.
In the data monitoring device of the embodiment of the present invention, the second writing unit 40 may include obtaining module and write-in mould
Block (not shown).
Module is obtained, for obtaining prefixed time interval by the bypath system；And
Writing module, for executing write-once at interval of the prefixed time interval by the bypath system.
Preferably, the second writing unit is used to that the first shared drive to be written in the data in result table by bypath system,
Wherein, the shared drive of agent process communication that the first shared drive is and is deployed in kiosk, reporting unit is for passing through
Data in first shared drive are reported to the monitoring process at monitoring service end by agent process.
It should be noted that the different technologies feature in above-mentioned each embodiment can be combined with each other.
The data monitoring method or data monitoring device of the embodiment of the present invention can be by the shared drives of 64 machines
It realizes, shared drive is divided into result and reports part and raw requests data portion, and real-time statistics calculate, and have evaded Log, line
The resource consumption of lower calculating.It is advantageous in that using 64 machines, a process can occupy bigger memory address space.Cause
For for 32 machines, process address space maximum only has 4G.
Through the embodiment of the present invention, it introduces full memory real time monitoring to calculate, has abandoned traditional Log mode.It can be with
According to business monitoring needs, flexibly adjustment monitors demand, such as can be distinguished and be counted according to the source of access, can be according to every
The access times subregion of message counts (pressure distribution), (can independently be disappeared according to the distribution of access times statistical iteration message
Breath distribution, can be clear and understand hot spot message bar number etc.), it gives the correct time in addition, cleverly having evaded on every time, disposably empties
The memory (judging whether node is invalid stale data when write-in) of back end part.
Through the embodiment of the present invention, the real-time overall monitor to business datum is realized.
For convenience of description, it is divided into various units when description apparatus above with function to describe respectively.Certainly, implementing this
The function of each unit can be realized in the same or multiple software and or hardware when application.
As seen through the above description of the embodiments, those skilled in the art can be understood that the application can
It realizes by means of software and necessary general hardware platform.Based on this understanding, the technical solution essence of the application
On in other words the part that contributes to existing technology can be embodied in the form of software products, the computer software product
It can store in storage medium, such as ROM/RAM, magnetic disk, CD, including some instructions are used so that a computer equipment
(can be personal computer, server or the network equipment etc.) executes the certain of each embodiment of the application or embodiment
Method described in part.
All the embodiments in this specification are described in a progressive manner, same and similar portion between each embodiment
Dividing may refer to each other, and each embodiment focuses on the differences from other embodiments.Especially for system reality
For applying example, since it is substantially similar to the method embodiment, so being described relatively simple, related place is referring to embodiment of the method
Part explanation.
The application can be used in numerous general or special purpose computing system environments or configuration.Such as: personal computer, service
Device computer, handheld device or portable device, laptop device, multicomputer system, microprocessor-based system, top set
Box, programmable consumer-elcetronics devices, network PC, minicomputer, mainframe computer, including any of the above system or equipment
Distributed computing environment etc..
Obviously, those skilled in the art should be understood that each module of the above invention or each step can be with general
Computing device realize that they can be concentrated on a single computing device, or be distributed in multiple computing devices and formed
Network on, optionally, they can be realized with the program code that computing device can perform, it is thus possible to which they are stored
Be performed by computing device in the storage device, perhaps they are fabricated to each integrated circuit modules or by they
In multiple modules or step be fabricated to single integrated circuit module to realize.In this way, the present invention is not limited to any specific
Hardware and software combines.
The foregoing is only a preferred embodiment of the present invention, is not intended to restrict the invention, for the skill of this field
For art personnel, the invention may be variously modified and varied.All within the spirits and principles of the present invention, made any to repair
Change, equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.
Claims (12)
1. a kind of data monitoring method for internet characterized by comprising
Acquisition request data；
The request data is written in tables of data；
The data in the tables of data are counted according to default rule, and the data after statistics are written in result table,
Wherein, the data in the result table are calculated in real time；
Data in the result table are written in shared drive；And
Report the data in the shared drive；
Wherein, the tables of data is written with the original request data, and the result table is written with the data reported.
2. data monitoring method according to claim 1, which is characterized in that according to default rule in the tables of data
Data to carry out statistics include being counted using following any one or various ways:
Statistics is distinguished to the data in the tables of data according to the source of access；
Subregion statistics is carried out to the data in the tables of data according to the access times of every message；And
According to the distribution of access times statistical iteration message.
3. data monitoring method according to claim 1, which is characterized in that be written to the data in the result table altogether
It enjoys in memory and includes:
Obtain prefixed time interval；And
Write-once is executed at interval of the prefixed time interval.
4. data monitoring method according to claim 1, which is characterized in that
It includes: to share the data write-in first in the result table that data in the result table, which are written in shared drive,
Memory, wherein first shared drive be and be deployed in kiosk agent process communication shared drive,
Reporting the data in the shared drive to include: will be in the data in first shared drive by the agent process
It reports to the monitoring process at monitoring service end.
5. data monitoring method according to claim 1, which is characterized in that obtaining the request data includes:
Receive data request packet；And
The data request packet is analyzed, the request data is obtained.
6. data monitoring method according to claim 1, which is characterized in that
Carrying out statistics to the data in the tables of data according to default rule includes:
The data in the tables of data are counted according to the first preset rules；
The second preset rules are received, and first preset rules are updated to second preset rules；And
The data in the tables of data are counted according to second preset rules.
7. a kind of data monitoring device for internet characterized by comprising
Acquiring unit is used for acquisition request data；
First writing unit, for the request data to be written in tables of data；
Statistic unit, for being counted according to default rule to the data in the tables of data, and by the data after statistics
It is written in result table, wherein calculate the data in the result table in real time；
Second writing unit, for the data in the result table to be written in shared drive；And
Reporting unit, for reporting the data in the shared drive；
Wherein, the tables of data is written with the original request data, and the result table is written with the data reported.
8. data monitoring device according to claim 7, which is characterized in that the statistic unit include it is following any one
Or multiple statistic units:
First statistic unit, for distinguishing statistics to the data in the tables of data according to the source of access；
Second statistic unit, for carrying out subregion statistics to the data in the tables of data according to the access times of every message；
And
Third statistic unit, for the distribution according to access times statistical iteration message.
9. data monitoring device according to claim 7, which is characterized in that second writing unit includes:
Module is obtained, for obtaining prefixed time interval；And
Writing module, for executing write-once at interval of the prefixed time interval.
10. data monitoring device according to claim 7, which is characterized in that
Second writing unit is used to the data in the result table the first shared drive is written, wherein described first is total
The shared drive of the agent process communication in kiosk is saved as and is deployed in enjoying,
The reporting unit is used to that the data in first shared drive to be reported to monitoring service by the agent process
The monitoring process at end.
11. data monitoring device according to claim 7, which is characterized in that the acquiring unit includes:
Receiving unit, for receiving data request packet；And
Analytical unit obtains the request data for analyzing the data request packet.
12. data monitoring device according to claim 7, which is characterized in that the statistic unit includes:
4th statistic unit, for being counted according to the first preset rules to the data in the tables of data；
First preset rules for receiving the second preset rules, and are updated to second preset rules by updating unit；
And
5th statistic unit, for being counted according to second preset rules to the data in the tables of data.
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| CN201210398199.9A CN103778041B (en) | 2012-10-18 | 2012-10-18 | Data monitoring method and device for internet |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105302691B (en) * | 2015-10-20 | 2018-04-24 | 浪潮(北京)电子信息产业有限公司 | A kind of metadata method for monitoring performance and system |
| CN108038171B (en) * | 2017-12-07 | 2020-07-03 | 杭州电魂网络科技股份有限公司 | Data writing method and device and data server |
| CN109167685A (en) * | 2018-08-27 | 2019-01-08 | 杭州领智云画科技有限公司 | CDN quality of service monitoring system and method based on index system |
| CN109284174A (en) * | 2018-09-07 | 2019-01-29 | 郑州云海信息技术有限公司 | A kind of multi-service process performance statistical method, device and system |
| CN112311616B (en) * | 2019-08-01 | 2022-07-19 | 北京百度网讯科技有限公司 | Data communication frequency statistical method, device and storage medium |
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