CN105787132A - Method and system for controlling user behavior analysis - Google Patents
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- CN105787132A CN105787132A CN201610200741.3A CN201610200741A CN105787132A CN 105787132 A CN105787132 A CN 105787132A CN 201610200741 A CN201610200741 A CN 201610200741A CN 105787132 A CN105787132 A CN 105787132A
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Abstract
The invention provides a method and a system for controlling user behavior analysis.The method for controlling the user behavior analysis includes acquiring user behavior data reported by software development kits; storing the user behavior data in distributed file systems so as to determine to-be-analyzed data; processing the to-be-analyzed data by the aid of universal spark map reduce so as to completely analyze the user behavior data.The user behavior data are semi-formatted data.According to the technical scheme, the method and the system have the advantages that the user behavior data can be iteratively processed at high speeds on the basis of updated analysis templates, and real-time query and offline computation effects and the like can be realized.
Description
Technical field
The present invention relates to technical field of software development, in particular to a kind of user behavior analysis
Control method and the control system of a kind of user behavior analysis.
Background technology
In the related, along with the development of mobile Internet Yu cloud service, Mobile solution software presents
Blowout formula increases, and in order to improve and optimize Mobile solution product, improves user to Mobile solution software
Consumer's Experience, developer needs to add up the use habit of mobile phone users, and the behavior of user divides
The related datas such as analysis, the performance of application software and quality.
Although the statistical tool of special Mobile solution software has occurred, but these works
Have user location and personalized customization in terms of the most perfect, and in statistic processes it is impossible to ensure that
The accuracy of user profile, and the data interaction pressure that off-line process generation is bigger.
Therefore, how to design the control program of a kind of new user behavior analysis with improve analysis efficiency and
Calculated off line and search efficiency become technical problem urgently to be resolved hurrily.
Summary of the invention
The present invention is based at least one above-mentioned technical problem, it is proposed that a kind of new user behavior divides
The control program of analysis, achieves user behavior by the analysis template after distributed file system and renewal
The high speed iterative processing of data, is simultaneously achieved the effect such as real-time query and calculated off line, makes product open
The personnel of sending out are more comprehensive and complete to the understanding of user behavior, improve the exploitation matter of Mobile solution software
Amount and the stability of associated server, improve user's experience to product, such that it is able to promote
The popularity of product, increases the number of users of product.
In view of this, the present invention proposes the control method of a kind of user behavior analysis, including: obtain
The user behavior data that SDK reports；Described user behavior data is stored to distributed literary composition
Part system, to be defined as data to be analyzed；Institute is processed by universal parallel mapping-reduction programming model
State data to be analyzed, to complete the analysis to described user behavior data, wherein, described user behavior
Data are half formatting data.
In this technical scheme, by parallel mapping-reduction programming model (i.e. Spark Map
Reduce, hereinafter Spark MR) user behavior data is analyzed, it addition, based on dividing
Analysis template after cloth file system (i.e. hdfs) and renewal achieves the high speed of user behavior data
Iterative processing, is simultaneously achieved the effect such as real-time query and calculated off line, make product development personnel to
The understanding of family behavior, more comprehensively with complete, improves the development quality of Mobile solution software and relevant clothes
The stability of business device, improves user's experience to product, such that it is able to improving product is well-known
Degree, increases the number of users of product.
Specifically, by message-oriented middleware such as kafka from SDK (Soft Development
Kit, i.e. sdk) obtain user behavior data, user behavior data uses half to format data such as json
(Java Script Object Notation, data interchange format), in view of json spirit based on key assignments
Form of living is highly susceptible to extension, and can determine corresponding json by event types based on json data
Assembly.
Wherein, be converted to format the laggard column criterion of data by half formatting data by Spark MR
Off-line data processes and calculates, namely on the one hand realizes Spark SQL query, on the other hand realizes off-line
Calculate hive, further, according to the user behavior data production Methods type query statement analyzed (i.e.
SQL) and non-relational query statement (i.e. NoSQL), and by form display systems to analyzing after
User behavior data be shown, meanwhile, provide a user with data call interface for user visit
Ask.
In technique scheme, it is preferable that processed by universal parallel mapping-reduction programming model
Described data to be analyzed, to complete the analysis to described user behavior data, specifically include following step
Rapid: described user behavior data to be formatted data by half and is converted to format data, to obtain form
The data to be analyzed changed；Whether Test database exists Administrator Client's renewal letter to analyzing template
Breath；Detecting that described data base exists described Administrator Client and believes the renewal of described analysis template
During breath, by the analysis template after updating, the user behavior data being converted to described formatting data is entered
Row inquiry and/or off-line analysis.
In this technical scheme, analyzed the more fresh information of template by detection, to realize data analysis mistake
The renewal of journey, further increasing practicality and the motility of data analysis process.
In any of the above-described technical scheme, it is preferable that also include: according to complete inquiry and/or from
The user behavior data production Methods type query statement of line analysis and/or non-relational query statement.
In this technical scheme, by according to completing inquiry and/or the user behavior data of off-line analysis
Production Methods type query statement and/or non-relational query statement, wherein, relational query statement has
Help improve the relatedness of analytical data, rather than relational data contribute to reducing data interaction pressure,
And then improve data access amount.
In technique scheme, it is preferable that also include: by increasing income, visualization tool has created
The visualization interface of the user behavior data of inquiry and/or off-line analysis, and it is prompted to user.
In this technical scheme, by increasing income, visualization tool creates visualization interface, improves user
The real-time analyzed and Consumer's Experience, wherein, a kind of embodiment of visualization tool of increasing income is Baidu
Echart instrument.
In technique scheme, it is preferable that also include: inquiry and/or off-line analysis will be completed
User behavior data sends to calling interface, for user by described calling interface to described inquiry with
/ or the user behavior data of off-line analysis conduct interviews.
In this technical scheme, by the user behavior data completing inquiry and/or off-line analysis is sent out
Deliver to calling interface, improve user's inquiry and/or the convenience of off-line analysis data and expansible
Property.
According to a second aspect of the present invention, it is also proposed that the control system of a kind of user behavior analysis, bag
Include: acquiring unit, obtain the user behavior data that SDK reports；Memory element, is used for
Described user behavior data is stored to distributed file system, to be defined as data to be analyzed；Analyze
Unit, for processing described data to be analyzed by universal parallel mapping-reduction programming model, with complete
The analysis of paired described user behavior data, wherein, described user behavior data is half formatting number
According to.
By parallel mapping-reduction programming model (i.e. Spark Map Reduce, hereinafter Spark
MR) user behavior data is analyzed, it addition, based on distributed file system (i.e. hdfs)
High speed iterative processing with the analysis template after renewal achieves user behavior data, is simultaneously achieved reality
Time inquiry and the effect such as calculated off line, make product development personnel to the understanding of user behavior more comprehensively with
Completely, improve the development quality of Mobile solution software and the stability of associated server, improve use
The family experience to product, such that it is able to the popularity of improving product, increases the number of users of product
Amount.
Specifically, by message-oriented middleware such as kafka from SDK (Soft Development
Kit, i.e. sdk) obtain user behavior data, user behavior data uses half to format data such as json
(Java Script Object Notation, data interchange format), in view of json spirit based on key assignments
Form of living is highly susceptible to extension, and can determine corresponding json by event types based on json data
Assembly.
Wherein, be converted to format the laggard column criterion of data by half formatting data by Spark MR
Off-line data processes and calculates, namely on the one hand realizes Spark SQL query, on the other hand realizes off-line
Calculate hive, further, according to the user behavior data production Methods type query statement analyzed (i.e.
SQL) and non-relational query statement (i.e. NoSQL), and by form display systems to analyzing after
User behavior data be shown, meanwhile, provide a user with data call interface for user visit
Ask.
In technique scheme, it is preferable that described analytic unit includes: converting unit, being used for will
Described user behavior data is formatted data by half and is converted to format data, to obtain treating of formatting
Analytical data；Whether detector unit, exist Administrator Client to analyzing template for Test database
More fresh information, described analytic unit is additionally operable to: detecting that described data base exists described manager
When client is to the more fresh information of described analysis template, by the analysis template after updating to being converted to
The user behavior data stating formatting data carries out inquiring about and/or off-line analysis.
The more fresh information of template is analyzed, to realize the renewal of data analysis process, further by detection
Improve practicality and the motility of data analysis process.
In any of the above-described technical scheme, it is preferable that also include: signal generating unit, for according to complete
Become inquiry and/or the user behavior data production Methods type query statement of off-line analysis and/or non-relational
Query statement.
By according to the user behavior data production Methods type inquiry language completing inquiry and/or off-line analysis
Sentence and/or non-relational query statement, wherein, relational query statement is favorably improved analytical data
Relatedness, rather than relational data contribute to reduce data interaction pressure, and then improve data access
Amount.
In technique scheme, it is preferable that also include: creating unit, for visual by increasing income
Chemical industry tool has created the visualization interface of the user behavior data of inquiry and/or off-line analysis, and carries
Show to user.
In this technical scheme, by increasing income, visualization tool creates visualization interface, improves user
The real-time analyzed and Consumer's Experience, wherein, a kind of embodiment of visualization tool of increasing income is Baidu
Echart instrument.
In technique scheme, it is preferable that also include: transmitting element, for will complete inquire about with
/ or the user behavior data of off-line analysis send to calling interface, for user pass through described in call and connect
The user behavior data of described inquiry and/or off-line analysis is conducted interviews by mouth.
In this technical scheme, by the user behavior data completing inquiry and/or off-line analysis is sent out
Deliver to calling interface, improve user's inquiry and/or the convenience of off-line analysis data and expansible
Property.
By above technical scheme, by parallel mapping-reduction programming model (i.e. Spark Map
Reduce, hereinafter Spark MR) user behavior data is analyzed, it addition, based on dividing
Analysis template after cloth file system (i.e. hdfs) and renewal achieves the high speed of user behavior data
Iterative processing, is simultaneously achieved the effect such as real-time query and calculated off line, make product development personnel to
The understanding of family behavior, more comprehensively with complete, improves the development quality of Mobile solution software and relevant clothes
The stability of business device, improves user's experience to product, such that it is able to improving product is well-known
Degree, increases the number of users of product.
Accompanying drawing explanation
Fig. 1 shows the signal stream of the control method of user behavior analysis according to an embodiment of the invention
Cheng Tu；
Fig. 2 shows the schematic block of the control system of user behavior analysis according to an embodiment of the invention
Figure；
Fig. 3 shows showing of the control method of user behavior analysis according to an embodiment of the invention
Meaning flow chart.
Detailed description of the invention
In order to be more clearly understood that the above-mentioned purpose of the present invention, feature and advantage, below in conjunction with attached
The present invention is further described in detail by figure and detailed description of the invention.It should be noted that not
In the case of conflict, the feature in embodiments herein and embodiment can be mutually combined.
Elaborate a lot of detail in the following description so that fully understanding the present invention, but,
The present invention can implement to use third party to be different from third party's mode described here, therefore, and this
The protection domain of invention is not limited by following public specific embodiment.
Fig. 1 shows the signal stream of the control method of user behavior analysis according to an embodiment of the invention
Cheng Tu.
As it is shown in figure 1, the control method of user behavior analysis according to an embodiment of the invention, bag
Include: step 102, obtain the user behavior data that SDK reports；Step 104, by institute
State user behavior data to store to distributed file system, to be defined as data to be analyzed；Step
106, process described data to be analyzed by universal parallel mapping-reduction programming model, to complete institute
Stating the analysis of user behavior data, wherein, described user behavior data is half formatting data.
In this technical scheme, by parallel mapping-reduction programming model (i.e. Spark Map
Reduce, hereinafter Spark MR) user behavior data is analyzed, it addition, based on dividing
Analysis template after cloth file system (i.e. hdfs) and renewal achieves the high speed of user behavior data
Iterative processing, is simultaneously achieved the effect such as real-time query and calculated off line, make product development personnel to
The understanding of family behavior, more comprehensively with complete, improves the development quality of Mobile solution software and relevant clothes
The stability of business device, improves user's experience to product, such that it is able to improving product is well-known
Degree, increases the number of users of product.
Specifically, by message-oriented middleware such as kafka from SDK (Soft Development
Kit, i.e. sdk) obtain user behavior data, user behavior data uses half to format data such as json
(Java Script Object Notation, data interchange format), in view of json spirit based on key assignments
Form of living is highly susceptible to extension, and can determine corresponding json by event types based on json data
Assembly.
Wherein, be converted to format the laggard column criterion of data by half formatting data by Spark MR
Off-line data processes and calculates, namely on the one hand realizes Spark SQL query, on the other hand realizes off-line
Calculate hive, further, according to the user behavior data production Methods type query statement analyzed (i.e.
SQL) and non-relational query statement (i.e. NoSQL), and by form display systems to analyzing after
User behavior data be shown, meanwhile, provide a user with data call interface for user visit
Ask.
In technique scheme, it is preferable that processed by universal parallel mapping-reduction programming model
Described data to be analyzed, to complete the analysis to described user behavior data, specifically include following step
Rapid: described user behavior data to be formatted data by half and is converted to format data, to obtain form
The data to be analyzed changed；Whether Test database exists Administrator Client's renewal letter to analyzing template
Breath；Detecting that described data base exists described Administrator Client and believes the renewal of described analysis template
During breath, by the analysis template after updating, the user behavior data being converted to described formatting data is entered
Row inquiry and/or off-line analysis.
In this technical scheme, analyzed the more fresh information of template by detection, to realize data analysis mistake
The renewal of journey, further increasing practicality and the motility of data analysis process.
In any of the above-described technical scheme, it is preferable that also include: according to complete inquiry and/or from
The user behavior data production Methods type query statement of line analysis and/or non-relational query statement.
In this technical scheme, by according to completing inquiry and/or the user behavior data of off-line analysis
Production Methods type query statement and/or non-relational query statement, wherein, relational query statement has
Help improve the relatedness of analytical data, rather than relational data contribute to reducing data interaction pressure,
And then improve data access amount.
In technique scheme, it is preferable that also include: by increasing income, visualization tool has created
The visualization interface of the user behavior data of inquiry and/or off-line analysis, and it is prompted to user.
In this technical scheme, by increasing income, visualization tool creates visualization interface, improves user
The real-time analyzed and Consumer's Experience, wherein, a kind of embodiment of visualization tool of increasing income is Baidu
Echart instrument.
In technique scheme, it is preferable that also include: inquiry and/or off-line analysis will be completed
User behavior data sends to calling interface, for user by described calling interface to described inquiry with
/ or the user behavior data of off-line analysis conduct interviews.
In this technical scheme, by the user behavior data completing inquiry and/or off-line analysis is sent out
Deliver to calling interface, improve user's inquiry and/or the convenience of off-line analysis data and expansible
Property.
Fig. 2 shows the schematic block of the control system of user behavior analysis according to an embodiment of the invention
Figure.
As in figure 2 it is shown, the control system 200 of user behavior analysis according to an embodiment of the invention,
Including: acquiring unit 202, obtain the user behavior data that SDK reports；Memory element
204, for described user behavior data is stored to distributed file system, to be analyzed to be defined as
Data；Analytic unit 206, for treating point described in the process of universal parallel mappings-reduction programming model
Analysis data, to complete the analysis to described user behavior data, wherein, described user behavior data is
Partly format data.
By parallel mapping-reduction programming model (i.e. Spark Map Reduce, hereinafter Spark
MR) user behavior data is analyzed, it addition, based on distributed file system (i.e. hdfs)
High speed iterative processing with the analysis template after renewal achieves user behavior data, is simultaneously achieved reality
Time inquiry and the effect such as calculated off line, make product development personnel to the understanding of user behavior more comprehensively with
Completely, improve the development quality of Mobile solution software and the stability of associated server, improve use
The family experience to product, such that it is able to the popularity of improving product, increases the number of users of product
Amount.
Specifically, by message-oriented middleware such as kafka from SDK (Soft Development
Kit, i.e. sdk) obtain user behavior data, user behavior data uses half to format data such as json
(Java Script Object Notation, data interchange format), in view of json spirit based on key assignments
Form of living is highly susceptible to extension, and can determine corresponding json by event types based on json data
Assembly.
Wherein, be converted to format the laggard column criterion of data by half formatting data by Spark MR
Off-line data processes and calculates, namely on the one hand realizes Spark SQL query, on the other hand realizes off-line
Calculate hive, further, according to the user behavior data production Methods type query statement analyzed (i.e.
SQL) and non-relational query statement (i.e. NoSQL), and by form display systems to analyzing after
User behavior data be shown, meanwhile, provide a user with data call interface for user visit
Ask.
In technique scheme, it is preferable that described analytic unit 206 includes: converting unit
2062, be converted to format data, to obtain for described user behavior data is formatted data by half
Take the data to be analyzed of formatting；Whether detector unit 2064, exist management for Test database
Member's client more fresh information to analysis template, described analytic unit 206 is additionally operable to: detecting
State data base when there is described Administrator Client to the more fresh information of described analysis template, by updating
After analysis template the user behavior data being converted to described formatting data is inquired about and/or from
Line analysis.
The more fresh information of template is analyzed, to realize the renewal of data analysis process, further by detection
Improve practicality and the motility of data analysis process.
In any of the above-described technical scheme, it is preferable that also include: signal generating unit 208, for root
According to completing inquiry and/or the user behavior data production Methods type query statement of off-line analysis and/or non-pass
It it is type query statement.
By according to the user behavior data production Methods type inquiry language completing inquiry and/or off-line analysis
Sentence and/or non-relational query statement, wherein, relational query statement is favorably improved analytical data
Relatedness, rather than relational data contribute to reduce data interaction pressure, and then improve data access
Amount.
In technique scheme, it is preferable that also include: creating unit 210, for by increasing income
Visualization tool has created the visualization interface of the user behavior data of inquiry and/or off-line analysis,
And it is prompted to user.
In this technical scheme, by increasing income, visualization tool creates visualization interface, improves user
The real-time analyzed and Consumer's Experience, wherein, a kind of embodiment of visualization tool of increasing income is Baidu
Echart instrument.
In technique scheme, it is preferable that also include: transmitting element 212, for completing to look into
Ask and/or the user behavior data of off-line analysis sends to calling interface, for user by described tune
With interface, the user behavior data of described inquiry and/or off-line analysis is conducted interviews.
In this technical scheme, by the user behavior data completing inquiry and/or off-line analysis is sent out
Deliver to calling interface, improve user's inquiry and/or the convenience of off-line analysis data and expansible
Property.
Fig. 3 shows showing of the control method of user behavior analysis according to an embodiment of the invention
Meaning flow chart.
As it is shown on figure 3, the control method of user behavior analysis according to an embodiment of the invention,
Including: step 302, obtain the user behavior data that SDK reports；Step 304, will
User behavior data stores to distributed file system, to be defined as data to be analyzed；Step 306,
Data to be analyzed are processed, to complete user behavior number by universal parallel mapping-reduction programming model
According to analysis, wherein, user behavior data is half formatting data；Step 310, by user behavior
Analysis task sends to corresponding analysis executive module, with by analyzing executive module to user behavior number
According to being analyzed；Step 312, is formatted data by user behavior data by half and is converted to format number
According to, to obtain the data to be analyzed formatted；Step 314, whether Test database exists manager
The client more fresh information to analyzing template；Step 316, is detecting that data base exists manager visitor
Family end to analyze template more fresh information time, by update after analysis template to be converted to format number
According to user behavior data carry out inquiring about and/or off-line analysis；Step 318, according to complete inquiry and/
Or the user behavior data production Methods type query statement of off-line analysis and/or non-relational inquiry language
Sentence；The user behavior data of inquiry and/or off-line analysis has been created by visualization tool of increasing income
Visualization interface, and it is prompted to user；Step 320, will complete inquiry and/or the user of off-line analysis
Behavioral data sends to calling interface, for user by calling interface to inquiry and/or off-line analysis
User behavior data conduct interviews.
Technical scheme is described in detail, it is contemplated that in correlation technique how above in association with accompanying drawing
Design the control program of a kind of new user behavior analysis to improve analysis efficiency and calculated off line and inquiry
The technical problem of efficiency, the present invention proposes the control program of a kind of new user behavior analysis, passes through
Analysis template after distributed file system and renewal achieves at the high speed iteration of user behavior data
Reason, is simultaneously achieved the effect such as real-time query and calculated off line, makes product development personnel to user behavior
Understanding more comprehensively with complete, improve development quality and the associated server of Mobile solution software
Stability, improves user's experience to product, such that it is able to the popularity of improving product, increases
Add the number of users of product.
The foregoing is only the preferred embodiments of the present invention, be not limited to the present invention, for
For those skilled in the art, the present invention can have various modifications and variations.All essences in the present invention
Within god and principle, any modification, equivalent substitution and improvement etc. made, should be included in the present invention
Protection domain within.
Claims (10)
1. the control method of a user behavior analysis, it is characterised in that including:
Obtain the user behavior data that SDK reports；
Described user behavior data is stored to distributed file system, to be defined as data to be analyzed；
Described data to be analyzed are processed, to complete institute by universal parallel mapping-reduction programming model
State the analysis of user behavior data,
Wherein, described user behavior data is half formatting data.
The control method of user behavior analysis the most according to claim 1, it is characterised in that
Described data to be analyzed are processed, to complete described use by universal parallel mapping-reduction programming model
The analysis of family behavioral data, specifically includes following steps:
By half, described user behavior data is formatted data be converted to format data, to obtain form
The data to be analyzed changed；
Whether Test database exists the Administrator Client's more fresh information to analyzing template；
Detecting that described data base exists described Administrator Client and believes the renewal of described analysis template
During breath, by the analysis template after updating, the user behavior data being converted to described formatting data is entered
Row inquiry and/or off-line analysis.
The control method of user behavior analysis the most according to claim 1 and 2, its feature exists
In, also include:
According to complete inquiry and/or off-line analysis user behavior data production Methods type query statement and/
Or non-relational query statement.
The control method of user behavior analysis the most according to claim 3, it is characterised in that
Also include:
The user behavior number of described inquiry and/or off-line analysis has been created by visualization tool of increasing income
According to visualization interface, and be prompted to user.
The control method of user behavior analysis the most according to claim 3, it is characterised in that
Also include:
The user behavior data completing described inquiry and/or off-line analysis is sent to calling interface, with
The user behavior data of described inquiry and/or off-line analysis is carried out by described calling interface for user
Access.
6. the control system of a user behavior analysis, it is characterised in that including:
Acquiring unit, obtains the user behavior data that SDK reports；
Memory element, for storing described user behavior data to distributed file system, to determine
For data to be analyzed；
Analytic unit, for processing described number to be analyzed by universal parallel mapping-reduction programming model
According to, to complete the analysis to described user behavior data,
Wherein, described user behavior data is half formatting data.
The control system of user behavior analysis the most according to claim 6, it is characterised in that
Described analytic unit includes:
Converting unit, is converted to format number for described user behavior data is formatted data by half
According to, to obtain the data to be analyzed formatted；
Whether detector unit, exist Administrator Client's renewal to analyzing template for Test database
Information,
Described analytic unit is additionally operable to: detecting that described data base exists described Administrator Client couple
During the more fresh information of described analysis template, by the analysis template after updating to being converted to described formatting
The user behavior data of data carries out inquiring about and/or off-line analysis.
8., according to the control system of the user behavior analysis described in claim 6 or 7, its feature exists
In, also include:
Signal generating unit, closes for generating according to the user behavior data completing inquiry and/or off-line analysis
It is type query statement and/or non-relational query statement.
The control system of user behavior analysis the most according to claim 8, it is characterised in that
Also include:
Creating unit, is used for having created described inquiry by visualization tool of increasing income and/or off-line divides
The visualization interface of the user behavior data of analysis, and it is prompted to user.
The control system of user behavior analysis the most according to claim 8, it is characterised in that
Also include: transmitting element, for the user behavior of described inquiry and/or off-line analysis will be completed
Data send to calling interface, for user by described calling interface to described inquiry and/or off-line
The user behavior data analyzed conducts interviews.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN106446170A (en) * | 2016-09-27 | 2017-02-22 | 努比亚技术有限公司 | Data querying method and device |
| CN107784076A (en) * | 2017-09-25 | 2018-03-09 | 北京京东尚科信息技术有限公司 | The method and apparatus of visualization structure user behavior data |
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