CN103916463A - Network access statistical analysis method and system - Google Patents
Network access statistical analysis method and system Download PDFInfo
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- CN103916463A CN103916463A CN201410101198.2A CN201410101198A CN103916463A CN 103916463 A CN103916463 A CN 103916463A CN 201410101198 A CN201410101198 A CN 201410101198A CN 103916463 A CN103916463 A CN 103916463A
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Abstract
The invention discloses a network access statistical analysis method. The network access statistical analysis method comprises the steps that a server side receives an access request sent by a client side; the server side judges the access request, if the access request is a statistics request, the server side responds to the statistics request, obtains statistical data requested by the statistics request from a statistics service unit, sends the statistical data back to the client side, and quits, and if the access request is not the statistics request, the server side responds to a service related request and executes service logic corresponding to the service related request; monitoring data generated when the server side executes the service logic serve as original data to be stored; the server side carries out statistics on the original data to obtain the statistical data and stores the statistical data in the statistics service unit. According to the network access statistical analysis method, the problem that due to the fact that a JS module is adopted for the client side, statistics is inaccurate is solved, and statistical accuracy is improved.
Description
Technical field
The present invention relates to access to netwoks correlative technology field, particularly a kind of access to netwoks statistical analysis technique and system.
Background technology
In most Web application, all need the access situation of register system, and it is carried out to Classified statistics, the running status of monitoring application and the service condition of each business function, also facilitate data supporting to the operation of product is provided simultaneously.So the access request of record application is gone forward side by side, line number is very important according to one's analysis.
Existing based on Web application memory and the method for analyzing access request, mostly adopt client to introduce JS(Javascript) assembly, service end is unified the scheme of reception & disposal visit data.
Its general step is as follows:
Relating to the applications client introducing JS assembly of storage with analysis request;
JS component detection, to access request, sends request link or data in real time to service end;
Service end receives request msg and carries out synchronous or asynchronous processing;
Service end timed task regularly carries out statistics and the analysis of data, generates result.
But, this by the mode of monitoring at customer end adopted JS assembly, there is following shortcoming:
One, client JS monitors to exist to the access of server and postpones, so there is the risk of losing visit data;
Two, in prior art, statistical analysis service end is all to dispose separately conventionally, so can cause submitting to access request data too to rely on statistical analysis service end, or may can not connect statistic analysis server because network reason causes service application, cause loss of data;
Three, prior art is monitored the access to server in client by JS mostly, so server side logic is sightless for client, can not record request carry out the consuming time of service logic at application service end;
Four, request record is generally tackled and obtained to prior art by JS in client, but due to security limitations, client JS may obtain less than the partial information of http protocol header and parameter.
Summary of the invention
Based on this, be necessary the inaccurate technical problem of data statistics for prior art, a kind of access to netwoks statistical analysis technique and system are provided.
A kind of access to netwoks statistical analysis technique, comprising:
Step 11, service end receives the access request that client is initiated;
Step 12, service end judges described access request, if described access request is for statistics request, performs step 13, if described access request is traffic aided request, execution step 14;
Step 13, service end is in response to described statistics request, obtains the statistics that described statistics request asks and return to client and exit from described statistics service unit;
Step 14, service end responds described traffic aided request, carries out service logic corresponding to described traffic aided request;
Step 15, the monitor data that service end produces in carrying out described service logic process is preserved as initial data;
Step 16, service end is added up and is obtained statistics and be stored in statistics service unit described initial data.
A kind of access to netwoks statistical analysis system, comprising:
Access request initiation module, receives for service end the access request that client is initiated;
Judge module, judges described access request for service end, if described access request is statistics request, carries out statistics respond module, if described access request is traffic aided request, carries out service response module;
Statistics respond module, service end is in response to described statistics request, obtains the statistics that described statistics request asks and return to client and exit from described statistics service unit;
Service logic respond module, responds described traffic aided request for service end, carries out service logic corresponding to described traffic aided request;
Initial data is preserved module, and the monitor data described service logic process of execution being produced for service end is preserved as initial data;
Data statistics module, adds up and obtains statistics and be stored in statistics service unit described initial data for service end.
The present invention moves on to service end by the access statistics to client and carries out, the service logic of client being asked by service end is carried out comprehensive and accurate statistics, thereby avoid various because the not statistical uncertainty true problem of bringing at customer end adopted JS assembly has improved statistical accuracy.
Brief description of the drawings
Fig. 1 is the workflow diagram of a kind of access to netwoks statistical analysis technique of the present invention;
Fig. 2 is the construction module figure of a kind of access to netwoks statistical analysis system of the present invention;
Fig. 3 is the system construction drawing of one of them example of a kind of access to netwoks statistical analysis system of the present invention;
Fig. 4 is the workflow diagram of one of them example of a kind of access to netwoks statistical analysis technique of the present invention.
Embodiment
Below in conjunction with the drawings and specific embodiments, the present invention will be further described in detail.
The workflow diagram that is illustrated in figure 1 a kind of access to netwoks statistical analysis technique of the present invention, comprising:
Step 11, service end receives the access request that client is initiated;
Step 12, service end judges described access request, if described access request is for statistics request, performs step 13, if described access request is traffic aided request, execution step 14;
Step 13, service end is in response to described statistics request, obtains the statistics that described statistics request asks and return to client and exit from described statistics service unit;
Step 14, service end responds described traffic aided request, carries out service logic corresponding to described traffic aided request;
Step 15, the monitor data that service end produces in carrying out described service logic process is preserved as initial data;
Step 16, service end is added up and is obtained statistics and be stored in statistics service unit described initial data.
Client, in the time that needs conduct interviews, is initiated access request to service end, and this access request can be that common traffic aided request can be also statistics request.If traffic aided request, perform step 14 and carry out according to original service logic, if statistics request, represent that client need to obtain statistical data analysis, now perform step 13, obtain statistics and return to client from statistics service unit.
The statistics of statistics service unit, is gathered statistic of classification and obtains service logic being monitored to the monitor data obtaining by service end.
In an embodiment, also comprise therein:
Service end records the time that receives described access request as business initial time;
Service end executes the difference of calculating current time and described business initial time after described service logic as business duration;
Service end is preserved described business duration and described monitor data as initial data.
Compared with mode at client statistical service duration, statistical work has been put into service end by the present embodiment, and therefore, the calculating of business duration, without considering network delay problem, is the duration that real execution service logic spends, and therefore data more accurately and reliably.
In an embodiment, described monitor data comprises therein: the access times of the URL that the access times of the business module associated with described service logic, described service logic are asked or ask the user of described service logic.
In an embodiment, also comprise therein:
Described monitor data is put into buffer queue by service end, and timing is taken out described monitor data and preserves as initial data from described buffer queue.
Initial data can directly be preserved and be persisted as to monitor data, also can be as the present embodiment, be first placed in buffer queue, and then timing is once taken out multiple monitor datas and is preserved and is persisted as initial data.
In an embodiment, described service end is the server of the distributed setting of multiple employings therein.
By adopting multiple servers of distributed setting, can avoid all statistical works to be all placed on and on a server, to cause server load overweight or reduce because the loss that fault obliterated data causes.
In an embodiment, start therein timing and gather task in a described server therein, described timing gathers task timing described initial data is added up and obtained statistics.
The construction module figure that is illustrated in figure 2 a kind of access to netwoks statistical analysis system of the present invention, comprising:
Access request initiation module 201, receives for service end the access request that client is initiated;
Judge module 202, judges described access request for service end, if described access request is statistics request, carries out statistics respond module 203, if described access request is traffic aided request, carries out service response module 204;
Statistics respond module 203, service end is in response to described statistics request, obtains the statistics that described statistics request asks and return to client and exit from described statistics service unit;
Service logic respond module 204, responds described traffic aided request for service end, carries out service logic corresponding to described traffic aided request;
Initial data is preserved module 205, and the monitor data described service logic process of execution being produced for service end is preserved as initial data;
Data statistics module 206, adds up and obtains statistics and be stored in statistics service unit described initial data for service end.
In an embodiment, also comprise therein:
Business duration calculation module, specifically for:
Service end records the time that receives described access request as business initial time;
Service end executes the difference of calculating current time and described business initial time after described service logic as business duration;
Service end is preserved described business duration and described monitor data as initial data.
In an embodiment, described monitor data comprises therein: the access times of the URL that the access times of the business module associated with described service logic, described service logic are asked or ask the user of described service logic.
In an embodiment, also comprise therein:
Timing persistence module, puts into buffer queue for service end by described monitor data, and timing is taken out described monitor data and preserves as initial data from described buffer queue.
In an embodiment, described service end is the server of the distributed setting of multiple employings therein.
In an embodiment, start therein timing summarizing module in a described server therein, described timing summarizing module timing is added up and is obtained statistics described initial data.
Be illustrated in figure 3 the system construction drawing of one of them example of a kind of access to netwoks statistical analysis system of the present invention.
Service end 31 comprises: interception and pretreatment unit 311, business actuating logic 312, parsing/memory cell 313, buffer queue 314, timing persistence task 315, timing gather task 316, clean-up task 317 and statistics service unit 318.
Interception and pretreatment unit 311 receive and tackle the request from client 32, judge whether it is traffic aided request by the method for fuzzy matching or full character match.
Interception and pretreatment unit 312 record traffic logics are carried out time, the contextual information of front system.
Business actuating logic 312 is carried out service logic, after standby service logic is complete, asks whether to meet storage condition according to application configuration or system default rule with request attribute comparison to judge.
The 313 computing service times of implementation of parsing/memory cell, resolve HTTP request header and message body data (alternative discarded part divided data).Analytic method can directly use the realization of Web container.
Meanwhile, parsing/memory cell 313 judges that whether buffer queue 314 length exceed permission maximum, put into buffer queue 314 as do not exceeded by the request that meets warehouse-in condition.As shown in the figure 3, also can not use buffer queue 314, directly by the data persistence after resolving in initial data.
Timing persistence task 315 is regularly done persistent storage to the data in buffer queue 314 by the mechanism of affairs.Also can reach certain number and trigger according to data in queue the switch of task herein.
Timing gathers task 316 and regularly initial data is carried out to Classifying Sum statistics by module, user or access links, and is persisted in statistics.
Clean-up task 317 carries out periodic cleaning according to application configuration or system default rule to initial data, to affect the performance of performance statistics service unit.This TU task unit is not essential.
Statistics service unit 318 receives the request of obtaining statistics, and statistics or initial data are done after simple process, returns to client 32.
In sum, adopt the technical method of recording in the present invention to realize based on the storage of Web application service end and analysis access request, business that can record request consuming time with request header and parameter information, also can greatly reduce the risk of loss of data, adopt embedded mode to dispose, also can avoid too relying on the problem of statistical analysis service end.
The detailed step of this example as shown in Figure 4, comprising:
Step S401, interception and pretreatment unit 311 receive the Web request from client, the instantaneous state (time, contextual information) of register system, the then type of judgement request;
Step S402, interception and pretreatment unit 311 judge whether it is traffic aided request by the method for fuzzy matching or full character match, if traffic aided request, perform step S404, if not traffic aided request, forward statistics service unit 318 to, execution step S403;
Step S403, statistics service unit 318 obtains statistics or initial data according to request content, and by corresponding masterplate engine or server language dynamically generates html or other static resources respond to client, and finish;
Step S404, carries out concrete business if traffic aided request forwards business actuating logic 312 to, after business is complete, judges whether to meet storage condition;
Step S405, compares the attribute of the configuration of application or system default rule and request, judges whether current request meets the condition of storage, if met, forwards parsing/memory cell 313 to, execution step S407.
Step S406, if do not meet storage condition, directly returns to service executing result to client, and request finishes;
Step S407, parsing/memory cell 313 calculates business execution duration according to the time of step S401 record and current time, and resolves (realization that analytic method uses Web container) HTTP request header and message body data.
Step S408, if buffer queue 314 length do not exceed permission maximum, the result data after resolving is put into buffer queue 314 by parsing/memory cell 313.This step also can not used buffer queue 314, directly result data is carried out to persistence.
Step S409, buffer queue 314 is simultaneous with timing persistence task 315, timing persistence task 315 regularly or according to other conditions such as buffer queue sizes triggers the data persistence in buffer queue in initial data (can be file, database or other media), when persistence, use affair mechanism, ensure the integrality of data.Persistence method: by the mode written document of stream or by sql mode data inserting storehouse
Step S410, timing gathers task 316 by asking the dimension such as the URL of corresponding business module, request and the user of request that initial data is carried out statistical analysis and is aggregated in statistics, so that statistics service unit uses.Statistical analysis technique: taking the access time as benchmark, according to cumulative mode Classifying Sum for different dimension (time, sky, the moon, year).Statistical content: the access times of business module, the number of times of synchronous/asynchronous request, GET/PSOT number of request, the visit capacity of URL, chain rate increment, user's click volume, chain rate increment.
In addition, can also increase following steps:
Clean-up task 317 regularly or according to request record sum triggers " cleaning historical data ", or historical data is compressed to storage, and this step or " clean-up task " assembly are omissible in whole system.
The present invention is general for different application, can be used as assembly and is deployed in different service application service ends by embedded mode, improves the durability of analyzing with statistical function, and has realized zero intrusion to actual service logic.
Service end obtains complete request essential information and subsidiary header and parameter by the mode of interception, and that carries out in conjunction with business is consuming time, writes buffer memory asynchronous being persisted in storage medium, reduces the impact on operation system.Timed task regularly gathers initial data, generates statistics from different dimensions, in retaining historical data, data supporting is provided also to the operation of product.
The example that the task of record request data is asked by processing completes, and can not concentrate and depend on some service ends.In addition, the persistence of request msg is used to affair mechanism, guaranteed the integrality of data.
The above embodiment has only expressed several execution mode of the present invention, and it describes comparatively concrete and detailed, but can not therefore be interpreted as the restriction to the scope of the claims of the present invention.It should be pointed out that for the person of ordinary skill of the art, without departing from the inventive concept of the premise, can also make some distortion and improvement, these all belong to protection scope of the present invention.Therefore, the protection range of patent of the present invention should be as the criterion with claims.
Claims (12)
1. an access to netwoks statistical analysis technique, is characterized in that, comprising:
Step (11), service end receives the access request that client is initiated;
Step (12), service end judges described access request, if described access request is statistics request, execution step (13), if described access request is traffic aided request, execution step (14);
Step (13), service end is in response to described statistics request, obtains the statistics that described statistics request asks and return to client and exit from described statistics service unit;
Step (14), service end responds described traffic aided request, carries out service logic corresponding to described traffic aided request;
Step (15), the monitor data that service end produces in carrying out described service logic process is preserved as initial data;
Step (16), service end is added up and is obtained statistics and be stored in statistics service unit described initial data.
2. access to netwoks statistical analysis technique according to claim 1, is characterized in that, also comprises:
Service end records the time that receives described access request as business initial time;
Service end executes the difference of calculating current time and described business initial time after described service logic as business duration;
Service end is preserved described business duration and described monitor data as initial data.
3. access to netwoks statistical analysis technique according to claim 1, it is characterized in that, described monitor data comprises: the access times of the URL that the access times of the business module associated with described service logic, described service logic are asked or ask the user of described service logic.
4. access to netwoks statistical analysis technique according to claim 1, is characterized in that, also comprises:
Described monitor data is put into buffer queue by service end, and timing is taken out described monitor data and preserves as initial data from described buffer queue.
5. access to netwoks statistical analysis technique according to claim 1, is characterized in that, described service end is the server of the distributed setting of multiple employings.
6. access to netwoks statistical analysis technique according to claim 5, is characterized in that, starts therein timing and gather task in a described server, and described timing gathers task timing described initial data is added up and obtained statistics.
7. an access to netwoks statistical analysis system, is characterized in that, comprising:
Access request initiation module, receives for service end the access request that client is initiated;
Judge module, judges described access request for service end, if described access request is statistics request, carries out statistics respond module, if described access request is traffic aided request, carries out service response module;
Statistics respond module, service end is in response to described statistics request, obtains the statistics that described statistics request asks and return to client and exit from described statistics service unit;
Service logic respond module, responds described traffic aided request for service end, carries out service logic corresponding to described traffic aided request;
Initial data is preserved module, and the monitor data described service logic process of execution being produced for service end is preserved as initial data;
Data statistics module, adds up and obtains statistics and be stored in statistics service unit described initial data for service end.
8. access to netwoks statistical analysis system according to claim 7, is characterized in that, also comprises:
Business duration calculation module, specifically for:
Service end records the time that receives described access request as business initial time;
Service end executes the difference of calculating current time and described business initial time after described service logic as business duration;
Service end is preserved described business duration and described monitor data as initial data.
9. access to netwoks statistical analysis system according to claim 7, it is characterized in that, described monitor data comprises: the access times of the URL that the access times of the business module associated with described service logic, described service logic are asked or ask the user of described service logic.
10. access to netwoks statistical analysis system according to claim 7, is characterized in that, also comprises:
Timing persistence module, puts into buffer queue for service end by described monitor data, and timing is taken out described monitor data and preserves as initial data from described buffer queue.
11. access to netwoks statistical analysis systems according to claim 7, is characterized in that, described service end is the server of the distributed setting of multiple employings.
12. access to netwoks statistical analysis systems according to claim 11, is characterized in that, start therein timing summarizing module in a described server, and described timing summarizing module timing is added up and obtained statistics described initial data.
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| CN103916463B (en) | 2020-03-31 |
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