CN112559561A - Data processing method and related device - Google Patents
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Abstract
The disclosure provides a data processing method and a related device, relates to the technical field of system integration, and can automatically supervise all data in an integrated system and perform integral analysis, thereby solving the problem of high maintenance cost of the existing integrated system. The specific technical scheme is as follows: acquiring access request information; sequentially filtering the access request information according to a preset filtering chain to obtain filtering data corresponding to each filter; and analyzing the filtering data corresponding to each filter according to a preset analysis model to obtain an analysis result. The invention is used for data integration analysis.
Description
Technical Field
The present disclosure relates to the field of system integration technologies, and in particular, to a data processing method and a related apparatus.
Background
Software system integration is a necessary approach for integrating information systems towards large platforms, large systems and large data. In order to meet the requirements of the comprehensive business system, the business systems of a plurality of manufacturers are integrated to form the comprehensive business system. However, since each service system belongs to different manufacturers, when a problem occurs, the problem can be determined and solved only by removing the problem of the manufacturer one by one, which results in high maintenance cost.
Disclosure of Invention
The embodiment of the disclosure provides a data processing method and a related device, which can automatically monitor all data in an integrated system and perform integral analysis, and solve the problem of high maintenance cost of the existing integrated system. The technical scheme is as follows:
according to a first aspect of embodiments of the present disclosure, there is provided a data processing method, including:
acquiring access request information;
sequentially filtering the access request information according to a preset filtering chain to obtain filtering data corresponding to each filter, wherein the preset filtering chain comprises at least one filter which is sequentially connected according to a preset filtering sequence, each filtering data comprises first data and second data, the first data are data obtained by each filter from the access request information according to a preset filtering rule, and the second data are running data obtained according to the first data;
and analyzing the filtering data corresponding to each filter according to a preset analysis model to obtain an analysis result.
All data of the integrated system are automatically monitored, and overall analysis is carried out through data quantification, so that the conditions of all systems can be accurately analyzed, the maintenance difficulty of system integration is greatly reduced, and the problem that the existing integrated system is high in maintenance cost is solved.
In an embodiment, before sequentially filtering the access request information according to the preset filter chain, the method further includes:
acquiring at least one filter from a filter set according to a preset filtering rule;
and sequentially connecting at least one filter according to a preset filtering sequence to obtain a filtering chain.
In one embodiment, the method further comprises: and sending the analysis result to a display device so that the display device displays the analysis result.
In one embodiment, the method further comprises:
and classifying and storing the filtering data and the analysis result corresponding to each filter.
According to a second aspect of the embodiments of the present disclosure, there is provided a data processing apparatus including:
the first acquisition module is used for acquiring access request information;
the filtering module is used for filtering the access request information according to a preset filtering chain to obtain filtering data corresponding to each filter, the preset filtering chain comprises at least one filter which is sequentially connected according to a preset filtering sequence, each filtering data comprises first data and second data, the first data are data which are obtained by each filter from the access request information according to a preset filtering rule, and the second data are running data which are obtained according to the first data;
and the analysis module is used for analyzing the filtering data corresponding to each filter according to a preset analysis model to obtain an analysis result.
In one embodiment, the data processing apparatus further comprises: the second acquisition module and the processing module;
the second obtaining module is used for obtaining at least one filter from the filter set according to a preset filtering rule;
and the processing module is used for sequentially connecting at least one filter according to a preset filtering sequence to obtain a filtering chain.
In one embodiment, the data processing apparatus further comprises: a sending module;
and the sending module is used for sending the analysis result to the display equipment so that the display equipment can display the analysis result.
In one embodiment, the data processing apparatus further comprises: a storage module;
and the storage module is used for storing the filtering data corresponding to each filter in a classified manner.
According to a third aspect of the embodiments of the present disclosure, there is provided a data processing device, which includes a processor and a memory, where at least one computer instruction is stored, and the instruction is loaded and executed by the processor to implement the steps performed in the data processing method described in any one of the first aspect and the first aspect.
According to a third aspect of the embodiments of the present disclosure, there is provided a computer-readable storage medium, in which at least one computer instruction is stored, the instruction being loaded and executed by a processor to implement the steps performed in the data processing method described in any one of the first aspect and the first aspect.
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 disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure.
Fig. 1 is a flowchart of a data processing method provided by an embodiment of the present disclosure;
FIG. 2 is a block diagram of a data processing system according to an embodiment of the present disclosure;
FIG. 3 is a block diagram of a data processing apparatus provided in an embodiment of the present disclosure;
FIG. 4 is a block diagram of a data processing apparatus provided in an embodiment of the present disclosure;
FIG. 5 is a block diagram of a data processing apparatus provided in an embodiment of the present disclosure;
FIG. 6 is a block diagram of a data processing apparatus provided in an embodiment of the present disclosure;
fig. 7 is a block diagram of a data processing device according to an embodiment of the present disclosure.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.
The embodiment of the present disclosure provides a data processing method, which is applied to a proxy server, and as shown in fig. 1, the data processing method includes the following steps:
101. and obtaining the access request information.
In the embodiment of the present disclosure, the obtaining, by the proxy server, the access request information includes: the proxy server obtains access request information sent by the request service system, wherein the access request information comprises request data information, identification information of a target service system and identification information of the request service system. The proxy server may verify the identification information of the requesting business system and the identification information of the target business system, and after the verification is passed, execute step 102.
102. And filtering the access request information according to a preset filtering chain to obtain filtering data corresponding to each filter.
In this embodiment of the present disclosure, before filtering the access request information according to a preset filter chain to obtain at least one filter data, the method further includes: and acquiring at least one filter from the filter set according to a preset filtering rule, and sequentially connecting the at least one filter according to a preset filtering sequence to obtain a filtering chain. That is, the preset filtering chain includes at least one filter connected in sequence according to a preset filtering order, each filtering data includes first data and second data, the first data is data acquired by each filter from the access request information according to a preset filtering rule, and the second data is operation data acquired according to the first data. Each filter in the filter chain has a corresponding filtering requirement, so when the access request data is acquired, the related first data is filtered from the access request data according to the corresponding filtering requirement, and the second data is data which is additionally operated in the filtering process. If the first data is the identification information of the request service system, the second data is the current request time, the request times and other related information.
103. And analyzing the filtering data corresponding to each filter according to a preset analysis module to obtain an analysis result.
The preset analysis model is used for indicating at least one of an interface calling condition analysis model, a data transmission condition analysis model, a real-time operation analysis model, an interface resource analysis model and a service stability analysis model. The interface calling condition analysis module analyzes calling number, success number, failure number, peak value and the like; the data transmission condition analysis model comprises the steps of analyzing transmission quantity, peak values and the like; the real-time operation analysis model comprises real-time analysis of interface call, real-time analysis of data transmission and the like. In the disclosed embodiment, before analyzing the filtered data, each filtered data may be classified and stored before being analyzed.
Further, the method further comprises: and sending the analysis result to a display device so that the display device displays the analysis result. And the analysis result is displayed by a visual means, so that the user can conveniently manage the integrated system.
The data processing method provided by the embodiment of the disclosure acquires access request information; filtering the access request information according to a preset filtering chain; and analyzing the filtering data corresponding to each filter according to a preset analysis module to obtain an analysis result. All data of the integrated system are automatically monitored, and overall analysis is carried out through data quantification, so that the conditions of all systems can be accurately analyzed, the maintenance difficulty of system integration is greatly reduced, and the problem that the existing integrated system is high in maintenance cost is solved.
Based on the data processing method provided by the embodiment corresponding to fig. 1, another embodiment of the present disclosure provides a data processing method, which may be applied to the data processing system 200 shown in fig. 2, where the data processing system 200 includes a proxy server 2001 and at least one business system 2002, the proxy server 2002 is communicatively connected to each business system 2002 in the at least one business system, and only three business systems are shown in fig. 2. In this embodiment, two service systems of at least one service system are taken as an example for explanation, which does not represent that the present disclosure is limited thereto, where the service system a is a request service system, i.e., a request initiating system, the service system B is a target service system, and the platform is a proxy server. The data processing method provided by the embodiment comprises the following steps:
the proxy server issues a unique transfer interface, mutual requests among the service systems are all transferred by the transfer interface proxy, after the transfer interface acquires an access request of the service system A, basic processing (such as judging whether the service system A is legal) is carried out, and then the access request is transferred to a filtering chain, wherein the filtering chain consists of a plurality of filters with single specific functions, each filter in the filtering chain acquires data information concerned by the filter from the acquired access request, supplements additional running data and the like, and carries out classified storage on all data. The effect analysis module analyzes and counts the data by different analysis modules and finally displays the data by a visualization means. The dimensions of the analysis include: interface call condition analysis (call number, success number, failure number, peak value), data transmission condition analysis (transmission quantity, peak value), real-time operation analysis (interface call real-time analysis, data transmission real-time analysis), interface resource analysis, service stability analysis and the like.
In an embodiment of the present disclosure, the implementation of the filter chain includes: a filter interface definition for indicating filtering conditions performed by all filters in the filter chain, and grouping the plurality of filters into a chain structure.
Exemplary, filter interface definition for PortaLFilter:
boolean accessCheck(
HttpServletRequest request,HttpServletResponse response
)
all filters in the filter chain need to filter requests and responses over the http protocol. Wherein, http servletrequest request is used for indicating the request of the business system a, and http servletresponse is used for indicating the response of the business system B.
In the embodiment of the disclosure, filters manage all filters, and each filter has identification information of the filter; the filterChainDefinitionMap manages which requests each filter filters. The method comprises the steps of configuring a filter chain by PortaLFilterFactoryBean, forming a plurality of filters into a chain structure, and managing the filter chain by two sequence sets of Map < String, PortaLFilter > filters, Map < String, String > filter ChainDefinitionMap.
The embodiment of the disclosure is based on a system integration mode of an agent mechanism, and a filter chain is constructed in an agent process and consists of a plurality of filters with single specific functions; the filter processes, sorts and stores various data information when the acquisition request is switched; the effect analysis module analyzes and counts the data by different analysis models and finally displays the data by a visualization means. The method has the advantages that the overall analysis is carried out by automatically monitoring all data returning and interface calling conditions of the integrated system, the operation stability of the data quantization integrated project is ensured, the integration effect is analyzed, the conditions of each system and the generation time of a problem are accurately analyzed, the maintenance difficulty of the integrated project is greatly reduced, the service application efficiency is improved, and the continuous operation of the integrated project is ensured.
Based on the data processing method described in the embodiment corresponding to fig. 1, the following is an embodiment of the apparatus of the present disclosure, which can be used to execute an embodiment of the method of the present disclosure.
The embodiment of the present disclosure provides a data processing apparatus, as shown in fig. 3, the data processing apparatus 30 includes: a first acquisition module 301, a filtering module 302 and an analysis module 303;
a first obtaining module 301, configured to obtain access request information;
the filtering module 302 is configured to filter the access request information according to a preset filtering chain to obtain filtering data corresponding to each filter, where the preset filtering chain includes at least one filter connected in sequence according to a preset filtering order, each filtering data includes first data and second data, the first data is data obtained by each filter from the access request information according to a preset filtering rule, and the second data is operation data obtained according to the first data;
and the analysis module 303 is configured to analyze the filtered data corresponding to each filter according to a preset analysis model to obtain an analysis result.
In one embodiment, as shown in fig. 4, the data processing apparatus 30 further includes: a second obtaining module 304, a processing module 305;
a second obtaining module 304, configured to obtain at least one filter from the filter set according to a preset filtering rule;
and a processing module 305, configured to sequentially connect at least one filter according to a preset filtering order to obtain a filtering chain.
In one embodiment, as shown in fig. 5, the data processing apparatus 30 further includes: a sending module 306;
a sending module 306, configured to send the analysis result to a display device, so that the display device displays the analysis result.
In one embodiment, as shown in fig. 6, the data processing apparatus 30 further includes: a storage module 307;
the storage module 307 is configured to store the filtered data corresponding to each filter in a classified manner.
The data processing device provided by the embodiment of the disclosure acquires access request information; filtering the access request information according to a preset filtering chain; and analyzing the filtering data corresponding to each filter according to a preset analysis module to obtain an analysis result. All data of the integrated system are automatically monitored, and overall analysis is carried out through data quantification, so that the conditions of all systems can be accurately analyzed, the maintenance difficulty of system integration is greatly reduced, and the problem that the existing integrated system is high in maintenance cost is solved.
Referring to fig. 7, an embodiment of the present disclosure further provides a data processing apparatus, where the data processing apparatus includes a receiver 701, a transmitter 702, a memory 703 and a processor 704, where the transmitter 702 and the memory 703 are respectively connected to the processor 704, the memory 703 has at least one computer instruction stored therein, and the processor 704 is configured to load and execute the at least one computer instruction to implement the data processing method described in the embodiment corresponding to fig. 1.
Based on the data processing method described in the embodiment corresponding to fig. 1, an embodiment of the present disclosure further provides a computer-readable storage medium, for example, the non-transitory computer-readable storage medium may be a Read Only Memory (ROM), a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like. The storage medium has at least one computer instruction stored thereon for executing the data processing method described in the embodiment corresponding to fig. 1.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, where the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
Claims (10)
1. A method of data processing, the method comprising:
acquiring access request information;
filtering the access request information according to a preset filtering chain to obtain filtering data corresponding to each filter, wherein the preset filtering chain comprises at least one filter which is sequentially connected according to a preset filtering sequence, each filtering data comprises first data and second data, the first data are data obtained by each filter from the access request information according to a preset filtering rule, and the second data are running data obtained according to the first data;
and analyzing the filtering data corresponding to each filter according to a preset analysis model to obtain an analysis result.
2. The method of claim 1, wherein before the sequentially filtering the access request messages according to a preset filter chain, the method further comprises:
acquiring the at least one filter from the filter set according to a preset filtering rule;
and sequentially connecting the at least one filter according to a preset filtering sequence to obtain the filter chain.
3. The method of claim 1, further comprising:
and sending the analysis result to a display device so that the display device displays the analysis result.
4. The method of claim 1, further comprising:
and classifying and storing the filtering data corresponding to each filter.
5. A data processing apparatus, comprising:
the first acquisition module is used for acquiring access request information;
the filtering module is configured to filter the access request information according to a preset filtering chain to obtain filtering data corresponding to each filter, where the preset filtering chain includes at least one filter connected in sequence according to a preset filtering order, each filtering data includes first data and second data, the first data is data obtained by each filter from the access request information according to a preset filtering rule, and the second data is operation data obtained according to the first data;
and the analysis module is used for analyzing the filtering data corresponding to each filter according to a preset analysis model to obtain an analysis result.
6. The apparatus of claim 5, wherein the data processing apparatus further comprises: the second acquisition module and the processing module;
the second obtaining module is configured to obtain the at least one filter from the filter set according to a preset filtering rule;
and the processing module is used for sequentially connecting the at least one filter according to a preset filtering sequence to obtain the filtering chain.
7. The apparatus of claim 5, wherein the data processing apparatus further comprises: a sending module;
the sending module is configured to send the analysis result to a display device, so that the display device displays the analysis result.
8. The apparatus of claim 5, wherein the data processing apparatus further comprises: a storage module;
and the storage module is used for storing the filtering data corresponding to each filter in a classified manner.
9. A data processing apparatus comprising a processor and a memory, said memory having stored therein at least one computer instruction, said instruction being loaded and executed by said processor to perform the steps performed in the data processing method of any one of claims 1 to 4.
10. A computer-readable storage medium having stored thereon at least one computer instruction, which is loaded and executed by a processor to perform the steps performed in the data processing method of any one of claims 1 to 4.
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