CN103778041A - Data monitoring method and device for internet - Google Patents

Data monitoring method and device for internet Download PDF

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Publication number
CN103778041A
CN103778041A CN201210398199.9A CN201210398199A CN103778041A CN 103778041 A CN103778041 A CN 103778041A CN 201210398199 A CN201210398199 A CN 201210398199A CN 103778041 A CN103778041 A CN 103778041A
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data
shared drive
tables
unit
writing
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CN103778041B (en
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邢玉东
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Tencent Technology Beijing Co Ltd
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Tencent Technology Beijing Co Ltd
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Abstract

The invention discloses a data monitoring method and a device for internet. The data monitoring method for the internet comprises obtaining request data; writing the request data into a data table; performing statistic on data in the data table according to a preset rule and writing the data being performed statistic into a result table and writing the data in the result table in a shared memory; reporting the data in the shared memory. The data monitoring method for the internet has the advantages of solving the problem that data monitoring methods in the prior art cannot achieve comprehensive monitoring of the data and accordingly achieving the effect of comprehensively monitoring the internet data.

Description

For data monitoring method and the device of internet
Technical field
The present invention relates to internet arena, in particular to a kind of data monitoring method for internet and device.
Background technology
Along with the development of Internet technology, the user of magnanimity, abundant terminal, and the fast propagation of information, both enriched the content of internet, provides higher requirement conversely again to internet QoS.
In order better to provide service to user, need to monitor the data on internet, a kind of data monitoring method for internet is provided in the prior art, as shown in Figure 1, business process is after receiving outside request, this request is forwarded to bypath system, monitor data is write shared drive by bypath system, be deployed in the process AgentSrv that agent process AgentClient on business machine timing is reported to the data in shared drive at monitor service end, AgentSrv receives the data that AgentClient reports in real time, and monitor data is analyzed, at the alarm that notes abnormalities.Because the design comparison of bypath system is simple, can only do some and simply report, for example bag amount, business source, terminal source.For the independent number in the section time, between the access region of data, distribute, all cannot realize and reporting.
The content that cannot report for bypath system, taking to record for bypath system the mode that the mode of Log carries out analyzing under line monitors, consider that Internet Server visit data every day is in T, the bag amount of every 40W/s, write Log and almost become an impossible mission, and analyze and take disk, cpu resource under line, thereby, be difficult to realize the overall monitor to data by prior art.
Be difficult to realize the problem to data overall monitor for data monitoring method of the prior art, not yet propose at present effective solution.
Summary of the invention
Fundamental purpose of the present invention is to provide a kind of data monitoring method for internet and device, is difficult to realize the problem to data overall monitor to solve data monitoring method of the prior art.
To achieve these goals, according to an aspect of the present invention, provide a kind of data monitoring method for internet.The data monitoring method of this internet comprises: obtain request msg; By in request msg data writing table; According to default rule, the data in tables of data are added up, and the data after statistics are write in result table; Data in result table are written in shared drive; And report the data in shared drive.
Further, according to default rule, the data in tables of data are added up and comprised and adopt following any one or various ways to add up: according to the source of access, the data in tables of data are distinguished to statistics; According to the access times of every message, the data in tables of data are carried out to subregion statistics; And according to the distribution of access times statistics independent message.
Further, the data in result table being written to shared drive comprises: obtain Preset Time interval; And carry out write-once at interval of Preset Time interval.
Further, data in result table are written to shared drive to be comprised: the data in result table are write to the first shared drive, wherein, the first shared drive is the shared drive of communicating by letter with the agent process being deployed on business machine, reports the data in shared drive to comprise: the monitoring process that by agent process, the data in the first shared drive is reported to monitor service end.
Further, obtaining request msg comprises: receive data request packet; And data request packet is analyzed, obtain request msg.
Further, according to default rule, the data in tables of data are added up and comprised: according to the first preset rules, the data in tables of data are added up; Receive the second preset rules, and the first preset rules is updated to the second preset rules; And according to the second preset rules, the data in tables of data are added up;
To achieve these goals, according to a further aspect in the invention, provide a kind of data monitoring device for internet.The data monitoring device of this internet comprises: acquiring unit, for obtaining request msg; The first writing unit, for by request msg data writing table; Statistic unit, adds up the data of tables of data for the rule according to default, and the data after statistics are write in result table; The second writing unit, for being written to the data of result table in shared drive; And report unit, for reporting the data of shared drive.
Further, statistic unit comprises following any one or multiple statistic unit: the first statistic unit, for the data of tables of data being distinguished to statistics according to the source of access; The second statistic unit, for carrying out subregion statistics according to the access times of every message to the data of tables of data; And the 3rd statistic unit, for according to the distribution of access times statistics independent message.
Further, the data in result table are written to shared drive and comprise: acquisition module, for by obtaining Preset Time interval; And writing module, carry out write-once for passing through at interval of Preset Time interval.
Further, the second writing unit is for writing the first shared drive by the data of result table, wherein, the first shared drive is the shared drive of communicating by letter with the agent process being deployed on business machine, reports unit for the data of the first shared drive being reported to by agent process to the monitoring process of monitor service end.
Further, acquiring unit comprises: receiving element, for receiving data request packet; And analytic unit, for data request packet is analyzed, obtain request msg.
Further, statistic unit comprises: the 4th statistic unit, for the data of tables of data being added up according to the first preset rules; Updating block, for receiving the second preset rules, and is updated to the second preset rules by the first preset rules; And the 5th statistic unit, for the data of tables of data being added up according to the second preset rules.
By the present invention, write owing to having adopted tables of data and result table to carry out respectively data, tables of data is used for writing raw data, result table is used for writing statistics, by shared drive, the data in result table are reported, solve data monitoring method of the prior art and be difficult to realize the problem to data overall monitor, and then reached the effect to internet data overall monitor.
Accompanying drawing explanation
The accompanying drawing that forms the application's a part is used to provide a further understanding of the present invention, and schematic description and description of the present invention is used for explaining the present invention, does not form inappropriate limitation of the present invention.In the accompanying drawings:
Fig. 1 is according to the schematic diagram of the data monitoring method of prior art;
Fig. 2 is according to the schematic diagram of the data monitoring method of the embodiment of the present invention;
Fig. 3 is according to the process flow diagram of the data monitoring method of the embodiment of the present invention;
Fig. 4 is according to the schematic diagram of tables of data in the data monitoring method of the embodiment of the present invention;
Fig. 5 is according to the schematic diagram of result table in the data monitoring method of the embodiment of the present invention;
Fig. 6 is according to the process flow diagram of a kind of preferred embodiment of the data monitoring method of the embodiment of the present invention;
Fig. 7 is according to the schematic diagram of the data monitoring device of the embodiment of the present invention;
Fig. 8 is according to the schematic diagram of the first preferred embodiment of the data monitoring device of the embodiment of the present invention;
Fig. 9 is according to the schematic diagram of the second preferred embodiment of the data monitoring device of the embodiment of the present invention; And
Figure 10 is according to the schematic diagram of the 3rd preferred embodiment of the data monitoring device of the embodiment of the present invention.
Embodiment
It should be noted that, in the situation that not conflicting, the feature in embodiment and embodiment in the application can combine mutually.Describe below with reference to the accompanying drawings and in conjunction with the embodiments the present invention in detail.
Fig. 2 is according to the schematic diagram of the data monitoring method of the embodiment of the present invention.Below in conjunction with this figure, the data monitoring method of the embodiment of the present invention is described.
As shown in Figure 2, in the data monitoring method of the embodiment of the present invention, first, business process receives the request of external user, and this request bag is forwarded to bypath system, the bypath system at this place is the program module being arranged on server, for the business process that online service is provided is monitored, itself can not provide any online service, as an example of bypath system example, data monitoring method of the present invention is set forth below, business process, for the process that user provides online service, is made response to user's request.Secondly, the request bag that bypath system forwards business process is analyzed, and by the request msg data writing table obtaining after analyzing, and calculate in real time the data in result table.Then, bypath system is according to service needed, and timing, by the data in result table, writes in the shared drive of communicating by letter with AgentClient.Finally, the AgentSrv that AgentClient timing reports the data in shared drive.Wherein, AgentClient is the agent process being deployed on business machine, and for communicating with shared drive, AgentSrv is the process that is deployed in monitor service end, carries out monitoring for the data on internet.
Fig. 3 is according to the process flow diagram of the data monitoring method of the embodiment of the present invention.The method can be, but not limited to carry out at the schematic diagram shown in Fig. 2, and as shown in Figure 3, this data monitoring method comprises the following steps:
Step S102, bypath system is obtained request msg.
First business process receives the request of external user, and this request bag is forwarded to bypath system.The request bag that bypath system forwards business process is analyzed, and gets request msg by analysis.
For external request, it can be the request that pulls microblogging homepage data.
Step S104, bypath system is by request msg data writing table.
Tables of data can adopt the tables of data shown in Fig. 4, in this tables of data, using business id+ data id as key, and be mainly the positional information that calculates the hash node of request bag according to business id+ data id, access times are the access times in timeslice, when this value is mainly used in interval saltus step, if having 100 to be the interval critical points of a saltus step, in result table, previous interval will deduct 100, a rear interval will+100.Access time calls time for judging whether this node is invalid node (visit data in a upper timeslice) on last.
Step S106, bypath system is added up the data in tables of data according to default rule, and the data after statistics are write in result table.
Preferably, bypath system is added up and is comprised and adopt following any one or various ways to add up the data in tables of data according to default rule.
Mode one:
According to the source of access, the data in tables of data are distinguished to statistics.
For example, the data in different access source are added up respectively, thereby can obtain respectively the statistics that different access is originated.
Mode two:
According to the access times of every message, the data in tables of data are carried out to subregion statistics.
For example, the data of the message that reaches certain access times are added up respectively, obtain different intervals by different access times, for different intervals, the data in tables of data are added up.By this kind of mode, can also realize according to access times, data are divided into segment and add up.
Mode three:
According to the distribution of access times statistics independent message.
Tables of data and result table all can be arranged in shared drive, as the data structure of shared drive.
Preferably, for the monitoring that makes data can be adjusted flexibly according to the needs of business monitoring, in this step, bypath system can be added up the data in tables of data in accordance with the following methods, further, can show that the distribution situation of focus message and message learns pressure distribution situation through hearsay:
First, bypath system is added up 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 is updated to the second preset rules.
Finally, bypath system is added up the data in tables of data according to the second preset rules.
Like this, receive user to regular setting by bypath system, and the rule of continuous Pleistocene series meter, utilize the rule after upgrading to add up, reach the object that business monitoring content is adjusted flexibly.
Step S108, bypath system is written to the data in result table in shared drive.
The shared drive of this part can be bypass process application, for data statistics.
Preferably, in order to reduce the frequency that writes and the consumption of computing system, bypath system is written to the data in result table in shared drive can be in the following ways:
First, bypath system is obtained Preset Time interval.
Then, bypath system is carried out write-once at interval of Preset Time interval.
This Preset Time interval can be a default Fixed Time Interval, can be also the time interval that the demand based on user is adjusted, and like this, just can carry out write-once at interval of certain time interval.
In order to improve the efficiency that reports in data monitoring, when bypath system is written in shared drive by the data in result table, in the following ways:
The data in result table are write the first shared drive by bypath system, and wherein, the first shared drive is the shared drive of communicating by letter with the agent process being deployed on business machine.
That is, the data in result table are write in the shared drive of communicating by letter with the agent process on business machine, improved the speed writing.
Result table can adopt the result table shown in Fig. 5, has recorded following content in this result table:
An independence counting number in the A visit data section time, access times are at interval (T1, T2, T3 ...) number of times distribute and access times at interval (T1, T2, T3 ...) independent number distribute.
Step S110, reports the data in shared drive.
Corresponding to the bypath system in step S108, the data in result table are write to the first shared drive, in this step, by agent process, the data in the first shared drive are reported to the monitoring process of monitor service end.
The monitoring process AgentSrv of monitor service end analyzes monitor data, at the alarm that notes abnormalities.
In the data monitoring method of the embodiment of the present invention, write owing to having adopted tables of data and result table to carry out respectively data, tables of data is used for writing raw data, result table is used for writing statistics, by shared drive, the data in result table are reported, realized the object of comprehensive data monitoring.
Fig. 6 is according to the process flow diagram of a kind of preferred embodiment of the data monitoring method of the embodiment of the present invention.As shown in Figure 6, the method comprises the following steps:
Step S601, receives external request.
Step S602, judges whether to meet: the >=that called time on current time-last time reports the time interval, in judged result when being, execution step S603, in judged result while being no, execution step S604.
Distinguishing by this judgement is the request that in last timeslice, business reports (also, invalid data), or this reports the data that in timeslice, business reports.
Step S603, reported result head statistics value, and empty this statistics value.
Step S604, according to hash value, finds corresponding back end.
This back end can refer to an element in Hash table, and user's request, according to Hash function, can calculate data and 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 is less than the time value reporting last time, and in judged result, when being, execution step S606, while being no, performs step S607 in judged result.
Step S606, carries out following operation:
1) empty this back end, data writing
2) first time intervals+1 of result head
3) Id number+1 of result head independence
Step S407, carries out following operation:
1) back end+1
2) certain interval number of times+1 of result head, if there is saltus step, adjusts two interval countings
3), if there is saltus step, in result head, interval counting is added and subtracted respectively two interval countings of 1 adjustment.
It should be noted that, can in the computer system such as one group of computer executable instructions, carry out in the step shown in the process flow diagram of accompanying drawing, and, although there is shown logical order in flow process, but in some cases, can carry out shown or described step with the order being different from herein.
The embodiment of the present invention also provides a kind of data monitoring device for internet, it should be noted that, the data monitoring device that the data monitoring method of the embodiment of the present invention can provide by the embodiment of the present invention is carried out, the data monitoring method that the data monitoring device of the embodiment of the present invention also can provide for carrying out the embodiment of the present invention.
Fig. 7 is according to the schematic diagram of the data monitoring device of the embodiment of the present invention.As shown in Figure 7, this data monitoring device comprises acquiring unit 10, the first writing unit 20, statistic unit 30, the second writing unit 40, reports unit 50.
Acquiring unit 10 is for obtaining request msg by bypath system.
The first writing unit 20 for by bypath system by request msg data writing table.
Statistic unit 30 is for the data of tables of data being added up according to default rule by bypath system, and the data after statistics are write in result table.
The second writing unit 40 is for being written to the data of result table in shared drive by bypath system.
Report unit 50 for by the data that report shared drive.
It should be noted that, above-mentioned the first writing unit 20 and the second writing unit 40 can be same writing units, can be also two independently writing units.
Fig. 8 is according to the schematic diagram of the first preferred embodiment of the data monitoring device of the embodiment of the present invention.
The data monitoring device of this embodiment comprises acquiring unit 10, the first writing unit 20, statistic unit 30, the second writing unit 40, reports unit 50.And statistic unit 30 comprises following any one or multiple statistic unit:
The first statistic unit 31, for distinguishing statistics according to the source of access to the data of tables of data.
The second statistic unit 32, for carrying out subregion statistics according to the access times of every message to the data of tables of data.And
The 3rd statistic unit 33, for adding up the distribution of independent message according to access times.
Acquiring unit 10, the first writing unit 20, the second writing unit 40, report the effect of unit 50 identical with the embodiment shown in Fig. 7, do not repeat them here.
Fig. 9 is according to the schematic diagram of the second preferred embodiment of the data monitoring device of the embodiment of the present invention.
The data monitoring device of this embodiment comprises acquiring unit 10, the first writing unit 20, statistic unit 30, the second writing unit 40, reports unit 50.And acquiring unit 10 comprises:
Receiving element 11, for receiving data request packet by bypath system.
Analytic unit 12, for data request packet being analyzed by bypath system, obtains request msg.
The first writing unit 20, statistic unit 30, the second writing unit 40, report the effect of unit 50 identical with the embodiment shown in Fig. 7, do not repeat them here.
Figure 10 is according to the schematic diagram of the 3rd preferred embodiment of the data monitoring device of the embodiment of the present invention.
The data monitoring device of this embodiment comprises acquiring unit 10, the first writing unit 20, statistic unit 30, the second writing unit 40, reports unit 50.And statistic unit 30 comprises:
The 4th statistic unit 34, for adding up the data of tables of data according to the first preset rules by bypath system.
Updating block 35, for receive the second preset rules by bypath system, and is updated to the second preset rules by the first preset rules.
The 5th statistic unit 36, for adding up the data of tables of data according to the second preset rules by bypath system.
It should be noted that, above-mentioned the 4th statistic unit 34 and the 5th statistic unit 36 can be same statistic units, can be also two independently statistic units.
In the data monitoring device of the embodiment of the present invention, the second writing unit 40 can comprise acquisition module and writing module (not shown).
Acquisition module, for obtaining Preset Time interval by described bypath system; And
Writing module, for carrying out write-once by described bypath system at interval of described Preset Time interval.
Preferably, the second writing unit is for writing the first shared drive by bypath system by the data of result table, wherein, the first shared drive is the shared drive of communicating by letter with the agent process being deployed on business machine, reports unit for the data of the first shared drive being reported to by agent process to the monitoring process of monitor service end.
It should be noted that, the different technologies feature in above-mentioned each embodiment can mutually combine.
The data monitoring method of the embodiment of the present invention or data monitoring device can be realized by the shared drive of 64 machines, shared drive is divided into result and reports part and raw requests data division, real-time statistics is calculated, and has evaded Log, the resource consumption calculating under line.Adopt the benefit of 64 machines to be, a process can take larger memory address space.Because for 32 machines, process address space maximum only has 4G.
By the embodiment of the present invention, introduce the real-time monitoring calculation of full internal memory, abandon traditional Log mode.Can also be according to business monitoring needs, adjust flexibly monitoring demand, for example can distinguish statistics according to the source of access, can be according to the access times subregion statistics (pressure distribution) of every message, can add up according to access times the distribution (independent message distributes, and can be well understood to very much focus message number etc.) of independent message, in addition, on having evaded cleverly at every turn, give the correct time, the disposable internal memory (whether write fashionable decision node is invalid stale data) that empties back end part.
By the embodiment of the present invention, realize the real-time overall monitor to business datum.
For convenience of description, while describing above device, being divided into various unit with function describes respectively.Certainly, in the time implementing the application, the function of each unit can be realized in same or multiple software and/or hardware.
As seen through the above description of the embodiments, those skilled in the art can be well understood to the mode that the application can add essential general hardware platform by software and realizes.Based on such understanding, the part that the application's technical scheme contributes to prior art in essence in other words can embody with the form of software product, this computer software product can be stored in storage medium, as ROM/RAM, magnetic disc, CD etc., comprise that some instructions (can be personal computers in order to make a computer equipment, server, or the network equipment etc.) carry out the method described in some part of each embodiment of the application or embodiment.
Each embodiment in this instructions all adopts the mode of going forward one by one to describe, between each embodiment identical similar part mutually referring to, what each embodiment stressed is and the difference of other embodiment.Especially,, for system embodiment, because it is substantially similar in appearance to embodiment of the method, so description is fairly simple, relevant part is referring to the part explanation of embodiment of the method.
The application can be used in numerous general or special purpose computingasystem environment or configuration.For example: personal computer, server computer, handheld device or portable set, plate equipment, multicomputer system, system, set top box, programmable consumer-elcetronics devices, network PC, small-size computer, mainframe computer based on microprocessor, comprise distributed computing environment of above any system or equipment etc.
Obviously, those skilled in the art should be understood that, above-mentioned of the present invention each module or each step can realize with general calculation element, they can concentrate on single calculation element, or be distributed on the network that multiple calculation elements form, alternatively, they can be realized with the executable program code of calculation element, thereby, they can be stored in memory storage and be carried out by calculation element, or they are made into respectively to each integrated circuit modules, or the multiple modules in them or step are made into single integrated circuit module to be realized.Like this, the present invention is not restricted to any specific hardware and software combination.
The foregoing is only the preferred embodiments of the present invention, be not limited to the present invention, for a person skilled in the art, the present invention can have various modifications and variations.Within the spirit and principles in the present invention all, any modification of doing, be equal to replacement, improvement etc., within all should being included in protection scope of the present invention.

Claims (12)

1. for a data monitoring method for internet, it is characterized in that, comprising:
Obtain request msg;
By in described request data data writing table;
According to default rule, the data in described tables of data are added up, and the data after statistics are write in knot table;
Data in described result table are written in shared drive; And
Report the data in described shared drive.
2. data monitoring method according to claim 1, is characterized in that, according to default rule, the data in described tables of data is added up and is comprised and adopt following any one or various ways to add up:
According to the source of access, the data in described tables of data are distinguished to statistics;
According to the access times of every message, the data in described tables of data are carried out to subregion statistics; And
According to the distribution of access times statistics independent message.
3. data monitoring method according to claim 1, is characterized in that, the data in described result table is written to shared drive and comprises:
Obtain Preset Time interval; And
Carry out write-once at interval of described Preset Time interval.
4. data monitoring method according to claim 1, is characterized in that,
Data in described result table are written to shared drive to be comprised: the data in described result table are write to the first shared drive, and wherein, described the first shared drive is the shared drive of communicating by letter with the agent process being deployed on business machine,
Report the data in described shared drive to comprise: the monitoring process that by described agent process, the data in described the first shared drive is reported to monitor service end.
5. data monitoring method according to claim 1, is characterized in that, obtains described request data and comprises:
Receive data request packet; And
Described data request packet is analyzed, obtained described request data.
6. data monitoring method according to claim 1, is characterized in that,
According to default rule, the data in described tables of data are added up and are comprised:
According to the first preset rules, the data in described tables of data are added up;
Receive the second preset rules, and described the first preset rules is updated to described the second preset rules; And
According to described the second preset rules, the data in described tables of data are added up;
7. for a data monitoring device for internet, it is characterized in that, comprising:
Acquiring unit, for obtaining request msg;
The first writing unit, for by described request data data writing table;
Statistic unit, adds up the data of described tables of data for the rule according to default, and the data after statistics are write in result table;
The second writing unit, for being written to the data of described result table in shared drive; And
Report unit, for reporting the data of described shared drive.
8. data monitoring device according to claim 7, is characterized in that, described statistic unit comprises following any one or multiple statistic unit:
The first statistic unit, for distinguishing statistics according to the source of access to the data of described tables of data;
The second statistic unit, for carrying out subregion statistics according to the access times of every message to the data of described tables of data; And
The 3rd statistic unit, for adding up the distribution of independent message according to access times.
9. data monitoring device according to claim 7, is characterized in that, the data in described result table is written to shared drive and comprises:
Acquisition module, for by obtaining Preset Time interval; And
Writing module, carries out write-once for passing through at interval of described Preset Time interval.
10. data monitoring device according to claim 7, is characterized in that,
Described the second writing unit is for writing the first shared drive by the data of described result table, and wherein, described the first shared drive is the shared drive of communicating by letter with the agent process being deployed on business machine,
The described unit that reports is for reporting to the data of described the first shared drive by described agent process the monitoring process of monitor service end.
11. data monitoring devices according to claim 7, is characterized in that, described acquiring unit comprises:
Receiving element, for receiving data request packet; And
Analytic unit, for described data request packet is analyzed, obtains described request data.
12. data monitoring devices according to claim 7, is characterized in that, described statistic unit comprises:
The 4th statistic unit, for adding up the data of described tables of data according to the first preset rules;
Updating block, for receiving the second preset rules, and is updated to described the second preset rules by described the first preset rules; And
The 5th statistic unit, for adding up the data of described tables of data according to described the second preset rules.
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