CN112579412A - User behavior acquisition method, device, system and medium - Google Patents
User behavior acquisition method, device, system and medium Download PDFInfo
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- G06F11/30—Monitoring
- G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
- G06F11/3438—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment monitoring of user actions
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- G06F11/3003—Monitoring arrangements specially adapted to the computing system or computing system component being monitored
- G06F11/302—Monitoring arrangements specially adapted to the computing system or computing system component being monitored where the computing system component is a software system
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- G06F11/3089—Monitoring arrangements determined by the means or processing involved in sensing the monitored data, e.g. interfaces, connectors, sensors, probes, agents
- G06F11/3093—Configuration details thereof, e.g. installation, enabling, spatial arrangement of the probes
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- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
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Abstract
The invention provides a user behavior acquisition method, and belongs to the technical field of data acquisition. The method comprises the following steps: acquiring front-end data based on a preset front-end buried point and acquiring back-end data based on a preset back-end buried point, wherein the front-end data records the operation behavior of a user at a client, and the back-end data records the log requested by the client to the server; transmitting the front-end data and the back-end data to a message queue. Compared with the prior art that only the operation behavior of the user on the client side can be collected, the user behavior collection method provided by the invention is provided with the front-end buried point and the rear-end buried point, so that the operation behavior of the user on the client side can be collected, the request log of the client side to the server can be collected, the user behavior can be collected more comprehensively, and the user behavior can be analyzed more accurately.
Description
Technical Field
The invention relates to the technical field of data acquisition, in particular to a user behavior acquisition method, device, system and medium.
Background
In user behavior collection, it is usually necessary to collect user behaviors by using a buried point.
The general embedded point scheme can only collect some basic user behavior data, such as only collecting the operation behavior of a user on a client, but cannot collect log data requested by the client to a server.
Data on the client and the server cannot be comprehensively collected, so that the data collected by user behaviors are not comprehensive, and the data cannot be accurately analyzed subsequently.
Disclosure of Invention
Aiming at the defects of the prior art, the invention aims to provide a user behavior acquisition method, a device, a system and a medium.
In a first aspect, the present invention provides a method for collecting user behavior, where the method includes:
acquiring front-end data based on a preset front-end buried point and acquiring back-end data based on a preset back-end buried point, wherein the front-end data records the operation behavior of a user at a client, and the back-end data records the log requested by the client to the server;
transmitting the front-end data and the back-end data to a message queue.
In a second aspect, the present invention provides a user behavior acquisition apparatus, including:
the data acquisition module is used for acquiring front end data based on a preset front end buried point and acquiring rear end data based on a preset rear end buried point, wherein the front end data records the operation behavior of a user at a client, and the rear end data records the log requested by the client to the server;
and the data transmission module is used for transmitting the front-end data and the back-end data to a message queue.
In a third aspect, the invention provides a system, a memory, a processor and a computer program stored on the memory and executable on the processor, the computer program, when executed by the processor, implementing the steps of the method as defined in any one of the above.
In a fourth aspect, the invention provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the method as defined in any one of the above.
Compared with the prior art that only the operation behavior of the user on the client side can be collected, the user behavior collection method provided by the invention is provided with the front-end buried point and the rear-end buried point, so that the operation behavior of the user on the client side can be collected, the request log of the client side to the server can be collected, the user behavior can be collected more comprehensively, and the user behavior can be analyzed more accurately.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention and not to limit the invention. In the drawings:
fig. 1 is a schematic flow chart of a user behavior acquisition method according to embodiment 1 of the present invention;
fig. 2 is a schematic flowchart of acquiring front-end data in embodiment 2 of the present invention;
fig. 3 is a schematic flowchart of obtaining backend data in embodiment 2 of the present invention;
fig. 4 is a schematic block diagram of user behavior acquisition according to embodiment 3 of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described below with reference to the specific embodiments of the present invention and the accompanying drawings. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
First, the terms involved in the embodiments of the present invention are briefly explained as follows:
POM (Project Object Model), which is a file in the Maven Project, is expressed in XML and is called POM.
SDK (Software Development Kit), which is generally a collection of Development tools used by some Software engineers to build application Software for a specific Software package, Software framework, hardware platform, operating system, etc. In practice, an SDK contains a definition of an API that defines a capability, a specification of an interface, and an SDK may contain both such capability and such specification. However, the SDK does not completely contain only the API and the implementation of the API, and the SDK has many other auxiliary functions, so the SDK contains the necessary data to use the API.
JDK (Java Development Kit, Java Development toolkit) is a Java Development tool, which is a software Development toolkit for Java developers.
An API (Application Programming Interface) is a call Interface left by an operating system to an Application program, and the Application program makes the operating system execute a command (action) of the Application program by calling the API of the operating system.
kafka is a distributed message queue that can be applied to production consumption patterns. The production consumer mode means that a producer continuously pushes data to a message center, different consumers take the data out of the message center for processing, and all the consumers take the same data under the same category. The producer writes messages into the queue, and the consumer cancels messages from the queue to perform business logic. kafka uses the concept of topic externally, where producers write data into topic and consumers read messages from topic. Topic, a category of messages under Kafka, is a logical concept used to distinguish and isolate different message data, and shields a bottom-layer complex storage mode.
And (3) http request, wherein the behavior of the user triggers a http request of the browser to the counted page, which is equivalent to that the behavior of the user is to open the webpage. When a web page is opened, the buried point code for the buried point in the page is executed.
Example 1
The embodiment of the invention provides a user behavior acquisition method, wherein an execution main body of the user behavior acquisition method can be a server for acquiring data or a message queue, and the execution main bodies of all the steps can be the same or different. As shown in fig. 1, the user behavior collection method includes:
s106, acquiring front end data based on a preset front end buried point and acquiring rear end data based on a preset rear end buried point, wherein the front end data records the operation behavior of a user at a client, and the rear end data records the log requested by the client to the server;
s108: transmitting the front-end data and the back-end data to a message queue.
Compared with the prior art that only the operation behavior of the user on the client side can be collected, the user behavior collection method provided by the embodiment of the invention is provided with the front-end buried point and the rear-end buried point, so that the operation behavior of the user on the client side can be collected, the request log of the client side to the server can be collected, the user behavior can be collected more comprehensively, and the user behavior can be analyzed more accurately.
Before S106, comprising S102: and arranging a front end buried point.
Specifically, S102 includes:
s1022: and each application accesses the corresponding software development toolkit according to the attribute of the client where the application is located. And accessing the corresponding SDK for each application according to the attribute of the client side where the application is located. According to the attributes of the client, the client can be divided into: PC client, Aanroid client, iOS client, etc. For example, if the client of an application is iSO client, the SDK embedded in the application is ios SDK.
S1024: and configuring parameters for each application and the client side where the application is located. The configured parameters include a basic parameter, a heatmap parameter, a scrollmap parameter, and the like.
S1026: and configuring an application programming interface for each application, wherein the application programming interface is used for transmitting the front-end data.
Correspondingly, in S106, the front-end data is obtained based on the application programming interface corresponding to each application.
Before S106, further comprising S104: and arranging a rear end buried point.
S104 specifically comprises the following steps:
s1042: and accessing a java development toolkit in the server.
S1044: and setting a configuration file for the java development kit, wherein the configuration file comprises the configuration of parameters. The parameters may include a basic parameter, a heatmap parameter, a scrollmap parameter, and the like.
S1046: and configuring an application programming interface for each server, wherein the application programming interface is used for transmitting the backend data.
Correspondingly, in S106, the front-end data is obtained based on the application programming interface corresponding to each server.
In S106, the front-end data may include at least one of: and (4) based on the data of H5 pages displayed by the browser, APP clients and PC clients. Of course, the premise for obtaining front-end data from different clients is to set a front-end buried point on different clients.
In S106, the backend data includes at least one of the following: data based on the data layer, data based on the business logic layer. Of course, the premise of obtaining the post data from different servers is to set the back-end buried point on different servers.
In the embodiment of the present invention, the message queue in S108 is a distributed message queue, which may be specifically kafka, and kafka adopts a producer-consumer mode, so that the front-end data and the back-end data are written into topic in kafka by using the producer of kafka.
In the embodiment of the invention, the method further comprises the following steps:
s110: and taking the front-end data and the back-end data out of the message queue. Specifically, when the message queue is kafka, and kafka adopts the produce consumer mode, the consumer in kafka is utilized to read the front-end data and the back-end data from topic in kafka.
S112: and converting the front-end data and the back-end data into at least two formats, and outputting a log file for analyzing user behaviors. Specifically, the front-end data and the back-end data are converted into three, four or more formats, so that a matching format is selected from the multiple formats in subsequent data analysis. Moreover, a log file is output based on the front-end data and the back-end data for subsequent analysis of the user's behavior.
Example 2
The embodiment 1 discloses a user behavior acquisition method, and a specific user behavior acquisition method is introduced in the embodiment in combination with practical application.
The step of setting the front end buried point comprises the following steps: 1.1) embedding a section of script code which is executed immediately in a head label of html, asynchronously loading a real JS (JS) SDK (software description framework) of a core, and then calling an interface initialization method of the SDK to finish initialization operation. 1.2) parameter configuration: including configuration base parameters, heatmap-related parameters, and scrollmap-related parameters. 1.3) calling a related method of the Web SDK to finish the access of the front-end embedded point scheme. 1.4) deploying a data acquisition server and a data processing server, wherein the data acquisition server is used for receiving front-end data of a front-end buried point and placing the front-end data into corresponding kafka topic according to a project number, and the data processing server is used for consuming the front-end data placed into the kafka topic, converting the front-end data into a corresponding format according to configuration and outputting the format to a log file.
The step of setting the rear end buried point comprises the following steps: 2.1) introduction of starter dependence of the buried point protocol in pom.xml. 2.2) configuring relevant parameters. 2.3) introducing a relevant method of a buried point scheme starter into the java code to complete the access of the buried point scheme. And 2.4) deploying a data acquisition server and a data processing server, wherein the data acquisition server is used for receiving the back-end data of the back-end embedded point and putting the back-end data into corresponding kafka topic according to the project number, and the data processing server is used for consuming the back-end data put into the kafka topic, converting the back-end data into a corresponding format according to the configuration and outputting the format to a log file.
Referring to fig. 2, the application includes an APP client or an embedded H5 application, and after each application accesses a corresponding SDK according to the attribute of the started client, the step of obtaining front-end data includes: 1.5) each application calls a corresponding API interface at the client side where the application is located, and initiates an http request to an application server A. 1.6) the application server A integrates the producers of the kafka, does not process the transmitted data and pushes the data to the kafka service directly. 1.7) the application server B integrated with the kafka consumer consumes the messages in the kafka, processes the consumed messages into files with different formats according to requirements, and finally transmits the files with different formats to the big data platform in a well-agreed mode with the big data platform. A
Referring to fig. 3, the step of acquiring backend data includes: 2.5) the application server of each application calls a corresponding API interface to initiate an http request to the application server A. 2.6) the application server A integrates the producers of the kafka, does not process the transmitted data and pushes the data to the kafka service directly. 2.7) the application server B integrated with the kafka consumer consumes the messages in the kafka, processes the consumed messages into files with different formats according to requirements, and finally transmits the files with different formats to the big data platform in a well-agreed mode with the big data platform.
Example 3
An embodiment of the present invention provides a user behavior acquisition apparatus 400, as shown in fig. 4, including:
a data obtaining module 410, configured to obtain front-end data based on a preset front-end buried point, and obtain back-end data based on a preset back-end buried point, where the front-end data records an operation behavior of a user at a client, and the back-end data records a log requested by the client to the server;
a data transmission module 420, configured to transmit the front-end data and the back-end data to a message queue.
The device also comprises a front end buried point setting module which is used for setting a front end buried point;
the front end buries a set module, includes:
the access submodule is used for accessing each application into a corresponding software development kit according to the attribute of the client where the application is located;
the parameter configuration submodule is used for configuring parameters for each application and the client side where the application is located;
an interface configuration submodule configured to configure an application programming interface for each of the applications, the application programming interface being configured to transmit the front-end data;
the acquiring front-end data comprises: and acquiring the front-end data based on the application programming interface corresponding to each application.
The device also comprises a rear end buried point setting module: used for setting a rear end buried point.
Rear end buries a set module, includes:
and the tool kit access submodule is used for accessing the java development tool kit in the server.
And the parameter configuration submodule is used for setting a configuration file for the java development kit, and the configuration file comprises configuration of parameters.
And the interface configuration submodule is used for configuring an application programming interface for each server, and the application programming interface is used for transmitting the backend data.
The front-end data at least comprises one of the following data: and (4) based on the data of H5 pages displayed by the browser, APP clients and PC clients.
The backend data at least comprises one of the following data: data based on the data layer, data based on the business logic layer.
The message queue is a distributed message queue.
The device, still include:
a data fetching module for fetching the front-end data and the back-end data from the message queue;
and the data conversion and output module is used for converting the front-end data and the back-end data into at least two formats and outputting a log file for analyzing user behaviors.
The device provided by the embodiment of the present invention may further execute the user behavior acquisition method in fig. 1, and implement the functions of the embodiment shown in fig. 1, which are not described herein again.
Example 4
An apparatus provided in an embodiment of the present invention includes: the network quality difference analysis method comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the computer program realizes the steps of the network quality difference analysis method when being executed by the processor.
The embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the computer program implements each process of the data distribution method embodiment, and can achieve the same technical effect, and in order to avoid repetition, details are not repeated here. The computer-readable storage medium may be a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are only exemplary embodiments of the present invention, and are not intended to limit the present invention, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A method for collecting user behavior, the method comprising:
acquiring front-end data based on a preset front-end buried point and acquiring back-end data based on a preset back-end buried point, wherein the front-end data records the operation behavior of a user at a client, and the back-end data records the log requested by the client to the server;
transmitting the front-end data and the back-end data to a message queue.
2. The method of claim 1, wherein before obtaining the front-end data based on the pre-defined front-end buried point, the method comprises: arranging a front end buried point;
set up front end buried point, include:
each application accesses a corresponding software development kit according to the attribute of the client where the application is located;
configuring parameters for each application and the client side thereof;
configuring an application programming interface for each application, wherein the application programming interface is used for transmitting the front-end data;
the acquiring front-end data comprises: and acquiring the front-end data based on the application programming interface corresponding to each application.
3. The method of claim 1, wherein before the obtaining backend data based on the preset backend data, the method comprises: setting a rear end buried point;
set up rear end and bury the point, include:
accessing a java development toolkit into a server;
setting a configuration file for the java development kit, wherein the configuration file comprises configuration of parameters;
and configuring an application programming interface for each server, wherein the application programming interface is used for transmitting the backend data.
4. The method of claim 1,
the front-end data at least comprises one of the following data: and (4) based on the data of H5 pages displayed by the browser, APP clients and PC clients.
5. The method of claim 1,
the backend data at least comprises one of the following data: data based on the data layer, data based on the business logic layer.
6. The method of claim 1,
the message queue is a distributed message queue.
7. The method of claim 6, further comprising, after said passing said front-end data and said back-end data into a message queue:
fetching the front-end data and the back-end data from the message queue;
and converting the front-end data and the back-end data into at least two formats, and outputting a log file for analyzing user behaviors.
8. A user behavior acquisition apparatus, characterized in that the apparatus comprises:
the data acquisition module is used for acquiring front end data based on a preset front end buried point and acquiring rear end data based on a preset rear end buried point, wherein the front end data records the operation behavior of a user at a client, and the rear end data records the log requested by the client to the server;
and the data transmission module is used for transmitting the front-end data and the back-end data to a message queue.
9. A system, comprising: memory, processor and computer program stored on the memory and executable on the processor, which computer program, when executed by the processor, carries out the steps of the method according to any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that a computer program is stored on the computer-readable storage medium, which computer program, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 6.
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Application publication date: 20210330 |