CN115795400B - Application fusion system oriented to big data analysis - Google Patents
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- CN115795400B CN115795400B CN202310075868.7A CN202310075868A CN115795400B CN 115795400 B CN115795400 B CN 115795400B CN 202310075868 A CN202310075868 A CN 202310075868A CN 115795400 B CN115795400 B CN 115795400B
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Abstract
The invention relates to an application fusion system oriented to big data analysis, which comprises a fusion portal platform, a capability opening platform and a data management platform, wherein the fusion portal platform is used for supporting unified user management, unified application management, unified authentication, unified authorization and single sign-on; the capability open platform is used for providing unified data sharing exchange service, unified message service, unified Internet of things service and unified AI service; the data management platform is used for providing data collection and aggregation, data standardization, main data management, metadata management and data quality management. The invention realizes the fusion of service data and behavior data and provides a basis for big data application. The data sharing exchange service through the capability open platform is opened to the application, and conditions are created for analyzing the big data of the application.
Description
Technical Field
The invention relates to the technical field of big data processing analysis, in particular to an application fusion system for big data analysis.
Background
With the continuous development of the information age, the current state and characteristics of the information of government institutions and enterprises in various industries are as follows: the business applications are many, the business applications are built by different manufacturers, the applications are built in a scattered way, data among the applications cannot be effectively shared, users use business from each application inlet, experience is poor, and the application and user behavior data cannot be effectively used for big data analysis.
Business applications built by each manufacturer cannot be effectively fused, unified management is not realized between the applications and users, data standards of each application are not unified, and data cannot be effectively fused. The application behavior data and the user behavior data are not fully utilized, and the fusion and innovation of the business data and the behavior data are difficult.
Disclosure of Invention
In view of this, an object of the embodiments of the present application is to provide an application fusion system for big data analysis, where the system includes a fusion portal platform, a capability opening platform, and a data management platform, and the fusion of service data and behavior data can be implemented through a behavior registration unit and a behavior acquisition gateway, which provides a foundation for big data application.
In order to achieve the above purpose, the present invention provides the following technical solutions:
according to a first aspect of the invention, an application fusion system oriented to big data analysis is provided, comprising a fusion portal platform, a capability opening platform and a data management platform, wherein the fusion portal platform is used for supporting unified user management, unified application management, unified authentication, unified authorization and single sign-on, and comprises a behavior acquisition gateway, and the behavior acquisition gateway is used for processing all HTTP requests and responses interacted between a built-in application client and a server of the fusion portal platform;
the capability open platform is used for providing unified data sharing exchange service, unified message service, unified Internet of things service and unified AI service; the data management platform is used for providing data collection and aggregation, data standardization, main data management, metadata management and data quality management.
As a further scheme of the invention, the form of the fusion portal platform comprises a PC end and a mobile end, and the fusion portal platform is also used for a user to access an application client, and the application client accesses an application server through an HTTP protocol.
As a further aspect of the present invention, the capability opening platform is further configured to provide a unified data sharing exchange service, a unified message service, a unified internet of things service, and a unified AI service through an API (application program interface) of the HTTP protocol.
As a further scheme of the invention, the capability opening platform comprises a behavior registration unit and a behavior acquisition gateway, wherein the behavior registration unit is used for receiving the behavior registration of each application, and the behavior acquisition gateway is used for processing HTTP requests and responses of all application access capability development platform applications.
As a further scheme of the invention, the behavior acquisition gateway of the fusion portal platform accesses an application server of an application database through an HTTP protocol, and the application database is contained in the application database.
As a further scheme of the invention, the behavior acquisition gateway of the fusion portal platform and the behavior acquisition gateway of the capability opening platform are respectively provided with a behavior log database.
As a further scheme of the invention, the data management platform is also used for collecting data from the application database and the behavior log database at the same time, and classifying the data after management to form a topic library containing behavior data, wherein the topic library comprises a business data topic library and a behavior topic library.
As a further scheme of the invention, the data sharing exchange service of the capability open platform is also used for opening the data of the business data subject database and the behavior subject database to the application, thereby creating conditions for big data analysis of the application.
As a further aspect of the present invention, the behavior registration unit is further configured to implement behavior registration by defining an HTTP protocol feature of a behavior, and define an HTTP request forwarding target and a data parsing rule of the behavior, where the HTTP protocol feature includes: request type, request URL, request parameters, response status code, response header, response body; the forwarding target comprises a forwarding host and a port, and behavior registration information is stored in a database of a behavior registration unit.
As a further aspect of the present invention, the behavior acquisition gateway includes an interceptor, a forwarder, and an analyzer, and the step of processing the HTTP request by the behavior acquisition gateway includes:
the method comprises the steps that a repeater acquires a forwarding rule list, wherein the repeater acquires the forwarding rule list from a behavior registration information database, the forwarding rule list comprises HTTP features and forwarding targets, and the HTTP features comprise a request method, a URL and a forwarding host port;
the interceptor receives the HTTP request of the application and caches the received request data;
the interceptor forwards the request to the forwarder;
the repeater forwards the request, wherein a request line is analyzed from the request message to obtain a request method and a URL, a corresponding host and a port are found out from a forwarding rule list according to the request method and the URL, the request data is forwarded according to the host and the port, and the host and the port in the URL in the request line are modified to the host port of the forwarding target;
the transponder receives the response;
the repeater forwards the response data to the interceptor;
the interceptor processes the response data, wherein the cached request message and the received response message are put into a queue to be processed;
the interceptor returns the HTTP response to the application.
As a further aspect of the present invention, the step of processing the queue data by the analyzer of the behavior acquisition gateway includes:
the method comprises the steps that an analyzer obtains behavior data, wherein the analyzer obtains behaviors, HTTP features and data analysis rules from a behavior registration information database;
the analyzer acquires a data element to be processed from the queue to be processed;
the analyzer identifies behaviors, wherein the analyzer analyzes the request rows from the request messages in the data elements to obtain a request method and a URL, and identifies the corresponding behaviors according to the matching of the request method, the URL and the HTTP characteristics;
the method comprises the steps that an analyzer generates a behavior log, wherein the analyzer analyzes high-value core data from request data and response data by using a semi-structured analysis technology according to a data analysis rule to form the behavior log;
the analyzer saves the behavior log, wherein the behavior log is saved into a behavior log database.
According to a second aspect of an embodiment of the present invention, there is provided a computer device comprising:
a processor; and storage means for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to implement the steps in the big data analysis oriented application fusion system of the first aspect described above.
According to a third aspect of the present invention, there is provided a computer readable storage medium having stored thereon a computer program which when executed by a processor implements the steps in the big data analysis oriented application fusion system of the first aspect described above.
The technical scheme provided by the embodiment of the invention can have the following beneficial effects:
according to the technical scheme, in the application fusion system for big data analysis, the data management platform forms the theme library of the business data and the behavior data after management by collecting the behavior logs applied to the fusion portal and the behavior logs of the application access capability open platform, so that the fusion of the business data and the behavior data is realized, and a foundation is provided for big data application. The data sharing exchange service through the capability open platform is opened to the application, so that conditions are created for big data analysis of the application.
These and other aspects of the present application will be more readily apparent from the following description of the embodiments. It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following description will briefly introduce the drawings that are needed in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are only some embodiments of the present application. In the drawings:
FIG. 1 schematically illustrates an overall architecture diagram of an application fusion system for big data analysis in an exemplary embodiment of the invention;
FIG. 2 schematically illustrates an architecture diagram of a behavior registration unit and a behavior acquisition gateway in an application fusion system for big data analysis in an exemplary embodiment of the present invention;
FIG. 3 schematically illustrates a flow chart of a behavior acquisition gateway interceptor and forwarder processing HTTP requests in an application fusion system oriented to big data analysis in an exemplary embodiment of the invention;
FIG. 4 schematically illustrates a flow chart of a behavior acquisition gateway analyzer processing queue data in a big data analysis oriented application fusion system in an exemplary embodiment of the invention;
fig. 5 schematically shows a schematic of a computer system suitable for use in implementing the computer device of the exemplary embodiment of the invention.
The implementation, functional features and advantages of the present application will be further described with reference to the accompanying drawings in conjunction with the embodiments.
Detailed Description
The present application will be further described with reference to the drawings and detailed description, which should be understood that, on the premise of no conflict, the following embodiments or technical features may be arbitrarily combined to form new embodiments.
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
The flow diagrams depicted in the figures are merely illustrative and not necessarily all of the elements and operations/steps are included or performed in the order described. For example, some operations/steps may be further divided, combined, or partially combined, so that the order of actual execution may be changed according to actual situations.
Some embodiments of the present application are described in detail below with reference to the accompanying drawings. The following embodiments and features of the embodiments may be combined with each other without conflict.
The information current situation and characteristics of the current government institutions and enterprises in various industries are as follows: the business applications are many, the business applications are built by different manufacturers, the applications are built in a scattered way, data among the applications cannot be effectively shared, users use business from each application inlet, experience is poor, and the application and user behavior data cannot be effectively used for big data analysis. Business applications built by each manufacturer cannot be effectively fused, unified management is not realized between the applications and users, data standards of each application are not unified, and data cannot be effectively fused. The application behavior data and the user behavior data are underutilized. The business data and the behavior data are integrated and innovated difficultly.
Based on the above reasons, the embodiment of the application fusion system for big data analysis can realize the fusion of service data and behavior data by designing a fusion framework comprising a fusion portal platform, a capability opening platform and a data management platform and by a behavior registration unit and a behavior acquisition gateway, thereby providing a foundation for big data application.
In some embodiments, the application fusion system for big data analysis may be applied to a computer device, which may be a device with display and processing functions, such as a PC, a portable computer, a mobile terminal, or the like, but is not limited thereto.
Referring to fig. 1, fig. 1 is an overall architecture diagram of an application fusion system for big data analysis in the present application. In an embodiment of the present application, an application fusion system for big data analysis provided in this embodiment includes a fusion portal platform, a capability open platform, and a data management platform. The fusion portal platform is used for supporting unified user management, unified application management, unified authentication, unified authorization and single sign-on. The capability open platform is used for providing unified data sharing exchange service, unified message service, unified Internet of things service and unified AI service. The data management platform is used for providing data collection and aggregation, data standardization, main data management, metadata management and data quality management.
The fusion portal platform is used as a platform integrating all applications, the form of the fusion portal platform comprises a PC end and a mobile end, the fusion portal platform is also used for a user to access an application client, and the application client accesses an application server through an HTTP protocol. Referring to fig. 1, the converged portal platform includes a behavior acquisition gateway, where the behavior acquisition gateway is used to process all HTTP requests and responses interacted by the application client and the server in the converged portal platform.
Referring to fig. 1, the capability open platform is further used to provide a unified data sharing exchange service, a unified message service, a unified internet of things service, and a unified AI service through an API (application program interface) of the HTTP protocol.
In this embodiment, the capability open platform includes a behavior registration unit and a behavior acquisition gateway, where the behavior registration unit is configured to accept behavior registration of each application, and the behavior acquisition gateway is configured to process HTTP requests and responses of all application access capability development platform applications.
Referring to fig. 1, the behavior acquisition gateway of the fusion portal platform accesses an application server of an application database through an HTTP protocol, where the application database is included in the application database. And a behavior log database is arranged in the behavior acquisition gateway of the fusion portal platform and the behavior acquisition gateway of the capability open platform.
The data management platform is also used for collecting data from the application database and the behavior log database at the same time, classifying the data after management to form a topic library containing behavior data, wherein the topic library comprises a business data topic library and a behavior topic library.
In this embodiment, the data sharing exchange service of the capability open platform is further configured to open the data of the service data subject database and the behavior subject database to an application, so as to create a condition for big data analysis of the application.
Referring to fig. 2, in the application fusion system facing big data analysis according to the embodiment of the present invention, the behavior registration unit is further configured to implement behavior registration by defining HTTP protocol features of a behavior, and define an HTTP request forwarding target and a data parsing rule of the behavior. Wherein the HTTP protocol feature comprises: request type, request URL, request parameters, response status code, response header, response body; the forwarding target comprises a forwarding host and a port, and behavior registration information is stored in a database of a behavior registration unit.
Referring to fig. 2, the behavior acquisition gateway includes an interceptor, a repeater, and an analyzer. Referring to fig. 3, the steps of the behavior acquisition gateway processing the HTTP request through the interceptor and the forwarder include:
s1, the repeater acquires a forwarding rule list. The forwarder acquires a forwarding rule list from the behavior registration information database, wherein the forwarding rule list comprises HTTP features and forwarding targets thereof, and the HTTP features comprise a request method, a URL and a forwarding host port thereof.
S2, the interceptor receives the HTTP request of the application. And caching the received request data.
S3, the interceptor forwards the request to the forwarder.
S4, the repeater forwards the request. And analyzing the request line from the request message to obtain a request method and a URL. And finding out the corresponding host and port from the forwarding rule list according to the request method and the URL. The request data (request line, request header, message body) is forwarded according to the host and port. The hosts and ports in the URLs in the request line are modified to forward the host port of the target.
S5, the transponder receives the response.
And S6, forwarding the response data to the interceptor by the forwarder.
S7, the interceptor processes the response data. And putting the cached request message and the received response message into a waiting queue.
S8, the interceptor returns the HTTP response to the application.
Referring to fig. 4, the steps of processing queue data by the analyzer of the behavior acquisition gateway include:
s101, an analyzer acquires behavior data, wherein the analyzer acquires behaviors, HTTP features and data analysis rules from a behavior registration information database;
s102, an analyzer acquires a data element to be processed from a queue to be processed;
s103, an analyzer identifies behaviors, wherein the analyzer analyzes the request rows from the request messages in the data elements to obtain a request method and a URL, and identifies the corresponding behaviors according to the matching of the request method, the URL and the HTTP characteristics;
s104, an analyzer generates a behavior log, wherein the analyzer analyzes high-value core data from request data and response data by using a semi-structured analysis technology according to a data analysis rule to form the behavior log;
s105, the analyzer stores the behavior log, wherein the behavior log is stored in a behavior log database.
In the embodiment of the invention, when the behavior acquisition gateway is designed, the following steps are realized: the method comprises the steps of (1) uniformly processing requests initiated by the application, (2) uniformly identifying behaviors, (3) uniformly analyzing HTTP data, (4) uniformly generating behavior logs, and (5) realizing complex function decoupling by designing three modules of an interceptor, a transponder and an analyzer, and has good processing performance.
In the application fusion system for big data analysis, the data management platform forms a theme library of service data and behavior data after management by collecting the behavior logs of the application in the fusion portal and the behavior logs of the application access capability open platform, so that fusion of the service data and the behavior data is realized, and a foundation is provided for big data application. The data sharing exchange service through the capability open platform is opened to the application, so that conditions are created for big data analysis of the application.
It is noted that the above-described figures are only schematic illustrations of processes involved in a method according to an exemplary embodiment of the invention, and are not intended to be limiting. It will be readily appreciated that the processes shown in the above figures do not indicate or limit the temporal order of these processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, for example, among a plurality of modules.
Furthermore, in an exemplary embodiment of the present invention, a computer device capable of implementing the steps in the application fusion system for big data analysis described above is also provided.
Those skilled in the art will appreciate that the various aspects of the invention may be implemented as a system, method, or program product. Accordingly, aspects of the invention may be embodied in the following forms, namely: an entirely hardware embodiment, an entirely software embodiment (including firmware, micro-code, etc.) or an embodiment combining hardware and software aspects may be referred to herein as a "circuit," module "or" system.
A computer device according to such an embodiment of the invention is described below with reference to fig. 5. The computer device shown in fig. 5 is merely an example, and should not be construed as limiting the functionality and scope of use of embodiments of the present invention.
As shown in fig. 5, the computer device is in the form of a general purpose computing device. Components of a computer device may include, but are not limited to: the at least one processor 401, the at least one memory 402, a bus 403 connecting the different system components (including the memory 402 and the processor 401), a display 404.
Wherein the memory stores program code that is executable by the processor 401 such that the processor 401 performs steps according to various exemplary embodiments of the present invention described in the above section of the exemplary method of the present specification.
In an embodiment of the present application, the computer device is configured to execute the behavior acquisition gateway to process HTTP requests through the interceptor and the forwarder as follows:
the method comprises the steps that a repeater acquires a forwarding rule list, wherein the repeater acquires the forwarding rule list from a behavior registration information database, the forwarding rule list comprises HTTP features and forwarding targets, and the HTTP features comprise a request method, a URL and a forwarding host port;
the interceptor receives the HTTP request of the application and caches the received request data;
the interceptor forwards the request to the forwarder;
the repeater forwards the request, wherein a request line is analyzed from the request message to obtain a request method and a URL, a corresponding host and a port are found out from a forwarding rule list according to the request method and the URL, the request data is forwarded according to the host and the port, and the host and the port in the URL in the request line are modified to the host port of the forwarding target;
the transponder receives the response;
the repeater forwards the response data to the interceptor;
the interceptor processes the response data, wherein the cached request message and the received response message are put into a queue to be processed;
the interceptor returns the HTTP response to the application.
In one embodiment of the present application, the step of the analyzer of the behavior acquisition gateway processing the queue data comprises:
the method comprises the steps that an analyzer obtains behavior data, wherein the analyzer obtains behaviors, HTTP features and data analysis rules from a behavior registration information database;
the analyzer acquires a data element to be processed from the queue to be processed;
the analyzer identifies behaviors, wherein the analyzer analyzes the request rows from the request messages in the data elements to obtain a request method and a URL, and identifies the corresponding behaviors according to the matching of the request method, the URL and the HTTP characteristics;
the method comprises the steps that an analyzer generates a behavior log, wherein the analyzer analyzes high-value core data from request data and response data by using a semi-structured analysis technology according to a data analysis rule to form the behavior log;
the analyzer saves the behavior log, wherein the behavior log is saved into a behavior log database.
In summary, the invention forms the topic library of the business data and the behavior data after the management by collecting the behavior log of the application in the fusion portal and the behavior log of the application access capability open platform, realizes the fusion of the business data and the behavior data, and provides a foundation for big data application. The data sharing exchange service through the capability open platform is opened to the application, so that conditions are created for big data analysis of the application.
The foregoing description is only of the preferred embodiments of the present application, and is not intended to limit the scope of the claims, and all equivalent structures or equivalent processes using the descriptions and drawings of the present application, or direct or indirect application in other related technical fields are included in the scope of the claims of the present application.
Claims (2)
1. The application fusion system for big data analysis is characterized by comprising a fusion portal platform, a capability opening platform and a data management platform;
the fusion portal platform is used for supporting unified user management, unified application management, unified authentication, unified authorization and single sign-on, and comprises a behavior acquisition gateway, wherein the behavior acquisition gateway is used for processing all HTTP requests and responses interacted between a built-in application client and a server of the fusion portal platform;
the capability open platform is used for providing unified data sharing exchange service, unified message service, unified Internet of things service and unified AI service; the data management platform is used for providing data acquisition and aggregation, data standardization, main data management, metadata management and data quality management;
the capability open platform is also used for providing unified data sharing exchange service, unified message service, unified Internet of things service and unified AI service through the API of the HTTP protocol;
the capability open platform comprises a behavior registration unit and a behavior acquisition gateway, wherein the behavior registration unit is used for receiving the behavior registration of each application, and the behavior acquisition gateway is used for processing HTTP requests and responses of all application access capability development platform applications;
the behavior registration unit is further configured to implement behavior registration by defining an HTTP protocol feature of a behavior, and define an HTTP request forwarding target and a data parsing rule of the behavior, where the HTTP protocol feature includes: request type, request URL, request parameters, response status code, response header, response body; the forwarding target comprises a forwarding host and a port, and behavior registration information is stored in a database of a behavior registration unit;
the behavior acquisition gateway of the fusion portal platform accesses an application server of an application library through an HTTP protocol, wherein the application library comprises an application database;
the data management platform is also used for collecting data from the application database and the behavior log database at the same time, classifying the data after management to form a topic library containing behavior data, wherein the topic library comprises a business data topic library and a behavior topic library;
the behavior acquisition gateway of the fusion portal platform and the behavior acquisition gateway of the capability open platform are internally provided with a behavior log database;
the behavior acquisition gateway comprises an interceptor, a forwarder and an analyzer, and the steps of processing the HTTP request by the behavior acquisition gateway through the interceptor and the forwarder comprise the following steps:
the method comprises the steps that a repeater acquires a forwarding rule list, wherein the repeater acquires the forwarding rule list from a behavior registration information database, the forwarding rule list comprises HTTP features and forwarding targets, and the HTTP features comprise a request method, a URL and a forwarding host port;
the interceptor receives the HTTP request of the application and caches the received request data;
the interceptor forwards the request to the forwarder;
the repeater forwards the request, wherein a request line is analyzed from the request message to obtain a request method and a URL, a corresponding host and a port are found out from a forwarding rule list according to the request method and the URL, the request data is forwarded according to the host and the port, and the host and the port in the URL in the request line are modified to the host port of the forwarding target;
the transponder receives the response;
the repeater forwards the response data to the interceptor;
the interceptor processes the response data, wherein the cached request message and the received response message are put into a queue to be processed;
the interceptor returns the HTTP response to the application;
the step of processing the queue data by the analyzer of the behavior acquisition gateway comprises the following steps:
the method comprises the steps that an analyzer obtains behavior data, wherein the analyzer obtains behaviors, HTTP features and data analysis rules from a behavior registration information database;
the analyzer acquires a data element to be processed from the queue to be processed;
the analyzer identifies behaviors, wherein the analyzer analyzes the request rows from the request messages in the data elements to obtain a request method and a URL, and identifies the corresponding behaviors according to the matching of the request method, the URL and the HTTP characteristics;
the method comprises the steps that an analyzer generates a behavior log, wherein the analyzer analyzes high-value core data from request data and response data by using a semi-structured analysis technology according to a data analysis rule to form the behavior log;
the analyzer saves the behavior log, wherein the behavior log is saved into a behavior log database.
2. The application fusion system of claim 1, wherein the converged portal platform comprises a PC side and a mobile side, and the converged portal platform is further configured to provide a user with access to an application client, and the application client accesses to an application server through an HTTP protocol.
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