CN107862033A - A kind of user behavior analysis method and system - Google Patents
A kind of user behavior analysis method and system Download PDFInfo
- Publication number
- CN107862033A CN107862033A CN201711070484.7A CN201711070484A CN107862033A CN 107862033 A CN107862033 A CN 107862033A CN 201711070484 A CN201711070484 A CN 201711070484A CN 107862033 A CN107862033 A CN 107862033A
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- China
- Prior art keywords
- user behavior
- mongodb
- server
- client
- behavior data
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- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
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Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/27—Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2462—Approximate or statistical queries
Abstract
A kind of user behavior analysis method and system of disclosure.The system is mainly using the tp frameworks of latest domestic, it is combined with Mongodb cachings, Mongodb can quickly extract the behavioral data of user in the situation of big data quantity using distributed caching and can quickly count various abnormal user by Mongodb MapReduce simultaneously this be compared by the SQL statement of complexity with traditional Mysql, improve very big systematic function.
Description
Technical field
The application is related to computer realm, more specifically to a kind of user behavior analysis method and system.
Background technology
In order to prevent the bootlegging broadcasting of the live circle of gold in user couple in the middle live platform of gold, relevant technical staff develops one
Kind of user behavior analysis software, accesses the user of abnormal behavior with fast positioning, and by the behaviour blocking of these users, to prevent
User obtains corresponding information (such as circle live information), the loss of the information of reduction by illegal act.
Current user behavior analysis system is typically based on Mysql relevant databases, to count access abnormal behavior
User, the database is slower to the processing speed of user behavior data, causes the performance of user behavior analysis system relatively low.
The content of the invention
In view of this, the application provides a kind of user behavior analysis method and system, by improving user behavior analysis system
The processing speed united to user behavior data, to realize the purpose for improving user behavior analysis system performance.
To achieve these goals, it is proposed that scheme it is as follows：
A kind of user behavior analysis method, methods described are applied to include：
Obtain user behavior data, and the Mongodb client/server moulds that user behavior data write-in is pre-established
The master server of type；
User behavior data in the master server is synchronized to the master server of the Mongodb client/servers model
More from server；
Described more are called from the user behavior data in server, according to the user behavior analysis rule pre-established
Parallel statistical disposition then is carried out to the user behavior data, to determine whether user is Lawful access user.
Preferably, establishing the process of the Mongodb client/servers model includes：
Mongodb caching classes are write, and the Mongodb cachings class is write in TP frameworks；
The Mongodb cachings class is instantiated, to establish the Mongodb client/servers model.
Preferably, it is described that the user behavior data is united parallel according to the user behavior analysis rule pre-established
Meter, including：
MapReduce based on the Mongodb client/servers model is counted parallel to the user behavior data.
Preferably, including：
Data acquisition module, for obtaining user behavior data, and user behavior data write-in is pre-established
The master server of Mongodb client/server models；
Data simultaneous module, for the user behavior data in the master server to be synchronized into the Mongodb principals and subordinates
More of the master server of framework model are from server；
Data analysis module, for calling described more from the user behavior data in server, according to building in advance
Vertical user behavior analysis rule carries out parallel statistical disposition to the user behavior data, to determine whether user is legal visit
Ask user.
Preferential, in addition to：
Mongodb client/server model building modules, for writing Mongodb caching classes, and by the Mongodb
In caching class write-in TP frameworks, the Mongodb cachings class is instantiated, to establish the Mongodb client/servers
Model.
Preferential, the data analysis module is used for the MapReduce based on the Mongodb client/servers model to institute
User behavior data is stated to be counted parallel.
Through as shown from the above technical solution, a kind of user behavior analysis method and system of disclosure.The system
Mainly using the tp frameworks of latest domestic, it is combined with Mongodb cachings, Mongodb is using distributed caching
The behavioral data that user can be quickly extracted in the situation of big data quantity simultaneously can be fast by Mongodb MapReduce
This is compared the various abnormal user of statistics of speed with traditional Mysql by the SQL statement of complexity, improves very big system
Performance.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
There is the required accompanying drawing used in technology description to be briefly described, it should be apparent that, drawings in the following description are only this
The embodiment of invention, for those of ordinary skill in the art, on the premise of not paying creative work, can also basis
The accompanying drawing of offer obtains other accompanying drawings.
Fig. 1 shows a kind of schematic flow sheet of user behavior analysis method disclosed in one embodiment of the invention；
Fig. 2 shows a kind of structural representation of user behavior analysis system disclosed in one embodiment of the invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation describes, it is clear that described embodiment is only part of the embodiment of the present invention, rather than whole embodiments.It is based on
Embodiment in the present invention, those of ordinary skill in the art are obtained every other under the premise of creative work is not made
Embodiment, belong to the scope of protection of the invention.
A kind of schematic flow sheet of user behavior analysis method disclosed in one embodiment of the invention is shown referring to Fig. 1.
As shown in Figure 1, the present invention includes：
S101：Obtain user behavior data, and Mongodb principal and subordinate's framves that user behavior data write-in is pre-established
The master server of structure model.
The system is mainly the extension mangodb.dll using PHP, while writes Mongodb caching class (this
Individual class includes Mongodb various operations), and this class is incorporated into the caching that framework is made inside TP frameworks
Class, this Mongodb class of direct instanceization when use, such words can are wanted to operate using TP inside framework
Mongodb, also can using Mongodb MapReduce functions come statistics.
S102：User behavior data in the master server is synchronized to the master of the Mongodb client/servers model
More of server are from server.
Mongodb client/servers model includes a master server and Duo Tai from server.Master server is mainly used in counting
According to write-in, be mainly used in the readings of data from server.The present invention will make Mongdb (the read-write point of master-salve distributed pattern
From), such foreground is right by not interfering with inquiry of the backstage to user behavior data when API typing user behavior datas
The performance of system is greatly improved for the system of this big data quantity of behavior analysis system.
S103：Described more are called from the user behavior data in server, according to the user behavior pre-established
Analysis rule carries out parallel statistical disposition to the user behavior data, to determine whether user is Lawful access user.
Multiple user behavior rules can be set whether to be validated user to user on backstage.Such as：Can be fixed on backstage
For adopted user to the access frequency of some interface or the page, the last page entered for defining the interface or the page is that is several
It is individual, the login times of user are set, pirate IP storehouses are set.If the access frequency of certain user beyond defined value or into this
The last URL of the individual page or interface not inside defined URL, or access IP inside pirate IP storehouses, then
Determine that the user is disabled user.
A kind of structural representation of user behavior analysis system disclosed in another embodiment of the present invention is shown referring to Fig. 2
Figure.
As shown in Figure 2, the system includes：Data acquisition module 1, data simultaneous module 2 and data analysis module 3.
Wherein, data acquisition module, built in advance for obtaining user behavior data, and by user behavior data write-in
The master server of vertical Mongodb client/server models.
Data simultaneous module, for the user behavior data in the master server to be synchronized into the Mongodb principals and subordinates
More of the master server of framework model are from server.
Data analysis module, for calling described more from the user behavior data in server, according to building in advance
Vertical user behavior analysis rule carries out parallel statistical disposition to the user behavior data, to determine whether user is legal visit
Ask user.
Specifically, the data analysis module is used for the MapReduce based on the Mongodb client/servers model to institute
User behavior data is stated to be counted parallel.
It should be noted that in other embodiment disclosed by the invention, the system also includes Mongodb client/server moulds
Type establishes module 4.
Mongodb client/server model building modules are mainly used in establishing Mongodb client/server models.Specific process
For：Mongodb caching classes are write, and the Mongodb cachings class is write in TP frameworks, described in instantiation
Mongodb caching classes, to establish the Mongodb client/servers model.
It should be noted that the system embodiment is corresponding with embodiment of the method, its implementation procedure is identical with implementation principle,
Therefore not to repeat here.
Finally, it is to be noted that, herein, such as first and second or the like relational terms be used merely to by
One entity or operation make a distinction with another entity or operation, and not necessarily require or imply these entities or operation
Between any this actual relation or order be present.Moreover, term " comprising ", "comprising" or its any other variant meaning
Covering including for nonexcludability, so that process, method, article or equipment including a series of elements not only include that
A little key elements, but also the other element including being not expressly set out, or also include for this process, method, article or
The intrinsic key element of equipment.In the absence of more restrictions, the key element limited by sentence "including a ...", is not arranged
Except other identical element in the process including the key element, method, article or equipment being also present.
Each embodiment is described by the way of progressive in this specification, what each embodiment stressed be and other
The difference of embodiment, between each embodiment identical similar portion mutually referring to.
The foregoing description of the disclosed embodiments, professional and technical personnel in the field are enable to realize or using the present invention.
A variety of modifications to these embodiments will be apparent for those skilled in the art, as defined herein
General Principle can be realized in other embodiments without departing from the spirit or scope of the present invention.Therefore, it is of the invention
The embodiments shown herein is not intended to be limited to, and is to fit to and principles disclosed herein and features of novelty phase one
The most wide scope caused.
Claims (6)
- A kind of 1. user behavior analysis method, it is characterised in that methods described is applied to include：User behavior data is obtained, and the user behavior data is write to the Mongodb client/server models pre-established Master server；User behavior data in the master server is synchronized to the more of the master server of the Mongodb client/servers model Platform is from server；Described more are called from the user behavior data in server, it is right according to the user behavior analysis rule pre-established The user behavior data carries out parallel statistical disposition, to determine whether user is Lawful access user.
- 2. according to the method for claim 1, it is characterised in that establish the process bag of the Mongodb client/servers model Include：Mongodb caching classes are write, and the Mongodb cachings class is write in TP frameworks；The Mongodb cachings class is instantiated, to establish the Mongodb client/servers model.
- 3. according to the method for claim 1, it is characterised in that described right according to the user behavior analysis rule pre-established The user behavior data is counted parallel, including：MapReduce based on the Mongodb client/servers model is counted parallel to the user behavior data.
- A kind of 4. user behavior analysis system, it is characterised in that including：Data acquisition module, for obtaining user behavior data, and user behavior data write-in is pre-established The master server of Mongodb client/server models；Data simultaneous module, for the user behavior data in the master server to be synchronized into the Mongodb client/servers More of the master server of model are from server；Data analysis module, for calling described more from the user behavior data in server, according to what is pre-established User behavior analysis rule carries out parallel statistical disposition to the user behavior data, to determine whether user is that Lawful access is used Family.
- 5. system according to claim 4, it is characterised in that also include：Mongodb client/server model building modules, cached for writing Mongodb caching classes, and by the Mongodb Operate in class write-in TP frameworks, the Mongodb cachings class is instantiated, to establish the Mongodb client/servers model.
- 6. system according to claim 4, it is characterised in that the data analysis module is used to be based on the Mongodb The MapReduce of client/server model is counted parallel to the user behavior data.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201711070484.7A CN107862033A (en) | 2017-11-03 | 2017-11-03 | A kind of user behavior analysis method and system |
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| CN201711070484.7A CN107862033A (en) | 2017-11-03 | 2017-11-03 | A kind of user behavior analysis method and system |
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Family
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| CN201711070484.7A Pending CN107862033A (en) | 2017-11-03 | 2017-11-03 | A kind of user behavior analysis method and system |
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| CN108920948A (en) * | 2018-05-25 | 2018-11-30 | 众安信息技术服务有限公司 | A kind of anti-fraud streaming computing device and method |
| CN109727027A (en) * | 2018-06-01 | 2019-05-07 | 平安普惠企业管理有限公司 | Account recognition methods, device, equipment and storage medium |
| CN111782694A (en) * | 2020-06-28 | 2020-10-16 | 百度在线网络技术（北京）有限公司 | Information writing method and device and electronic equipment |
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Application publication date: 20180330 |