CN113535529A - Service log analysis method and device and computer readable storage medium - Google Patents
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Abstract
The application provides a service log analysis method, a service log analysis device and a computer readable storage medium, wherein the method comprises the following steps: the method comprises the steps that at least one service log is obtained, each service log comprises a text section and a code section, the text section is a log text, and the code section is a code which is in a text form and accords with at least one preset grammar; extracting the code segments in the service log to form program codes; compiling and operating the program code to obtain an analysis result of the service log. By using the method, the service log analysis process is efficient and has strong expansibility.
Description
Technical Field
The application belongs to the field of service log data processing, and particularly relates to a service log analysis method and device and a computer readable storage medium.
Background
This section is intended to provide a background or context to the embodiments of the application. The description herein is not admitted to be prior art by inclusion in this section.
Although the text of the service log has a fixed format, statistical analysis of a large number of service logs still requires engineering personnel to manually extract service data in the relevant logs, and to arrange and count the data in the logs, which results in huge workload. Although some external script tools for assisting in extracting service log information also exist at present, once a service type is updated, the format of a service log is changed, and at this time, an external script file needs to be re-developed or an original script file needs to be modified, so that statistical analysis of the service log after service updating is adapted. This makes the processing system that performs the service log analysis poorly scalable and labor cost for scaling or modifying high.
Disclosure of Invention
In view of the foregoing problems in the prior art, embodiments of the present application provide a method, an apparatus, and a computer-readable storage medium. With such a method and device, the above-mentioned problems can be at least partially solved.
The examples of the present application provide the following: a method for analyzing a service log, comprising:
the method comprises the steps that at least one service log is obtained, each service log comprises a text section and a code section, the text section is a log text, and the code section is a code which is in a text form and accords with at least one preset grammar;
extracting the code segments in the service log to form program codes;
compiling and operating the program code to obtain an analysis result of the service log.
The examples of the present application provide the following: a service log analysis apparatus, comprising:
the system comprises an acquisition module, a storage module and a processing module, wherein the acquisition module is used for acquiring at least one service log, each service log comprises a text section and a code segment, the text section is a log text, and the code segment is a code which is in a text form and accords with at least one preset grammar;
the extracting module is used for extracting the code segments in the service log to form program codes;
and the analysis module is used for compiling and operating the program code to obtain an analysis result of the service log.
The examples of the present application provide the following: a service log analysis apparatus, comprising:
at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to cause the at least one processor to perform: the service log analysis method is described in the foregoing.
The examples of the present application provide the following: a computer-readable storage medium, characterized in that the computer-readable storage medium stores a program that, when executed by a processor, causes the processor to perform: the service log analysis method is described in the foregoing.
The embodiment of the application adopts at least one technical scheme which can achieve the following beneficial effects: the code segments added in the service log can be subjected to subsequent processing logic, and a large number of service logs can be rapidly subjected to statistical analysis only by compiling and running the code segments. If the service information needs to be added or modified in the service log, the code segment only needs to be written according to the predefined grammar, and because the grammar of the code segment is predefined, the code segment is often simple to write, and the development workload is far less than that of a mode of capturing the log information and performing statistical analysis through a manual mode or a script file mode after the common service log is generated. When the service log is analyzed subsequently, the compiling and the running of the code segments are carried out according to the same mode, and the service log after the format is updated can be analyzed. And the logic processing capacity of the code segment is flexible, and the service log analysis process is efficient and has strong expansibility.
It should be understood that the above description is only an overview of the technical solutions of the present application, so as to enable the technical solutions of the present application to be more clearly understood, and thus can be implemented according to the content of the description. In order to make the aforementioned and other objects, features and advantages of the present application more comprehensible, embodiments of the present application are described below.
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The advantages and benefits described herein, as well as other advantages and benefits, will be apparent to those of ordinary skill in the art upon reading the following detailed description of the exemplary embodiments. The drawings are only for purposes of illustrating exemplary embodiments and are not to be construed as limiting the application. Also, like reference numerals are used to refer to like elements throughout. In the drawings:
fig. 1 is a schematic flow chart of a service log analysis method according to an embodiment of the present application;
FIG. 2 is an example of a grammar used in a method of service log analysis according to an embodiment of the present application;
fig. 3 is an example of 3 service logs in a service log analysis method according to an embodiment of the present application;
FIG. 4 is an example of program code derived from the traffic log shown in FIG. 3;
FIG. 5 is a schematic diagram of an apparatus according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of an apparatus according to an embodiment of the present application.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
In this application, it is to be understood that terms such as "including" or "having" are intended to indicate the presence of the disclosed features, integers, steps, acts, components, parts, or combinations thereof, and do not preclude the presence or addition of one or more other features, integers, steps, acts, components, parts, or groups thereof.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
Fig. 1 is a schematic flow chart of a method according to an embodiment of the present application, in which, from a device perspective, an execution subject may be one or more electronic devices, and more specifically, a processing module; from the program perspective, the execution main body may accordingly be a program loaded on these electronic devices.
The flow in fig. 1 may include the following steps 101 to 104.
The text section and the code section synchronously generate and write the service log in the service processing process.
And 102, extracting the code segments in the service log to form a program code.
And 103, compiling and operating the program code to obtain an analysis result of the service log.
The code segments added in the service log can be subjected to subsequent processing logic, and a large number of service logs can be rapidly subjected to statistical analysis only by compiling and running the code segments. If the service information needs to be added or modified in the service log, the code segment only needs to be written according to the predefined grammar, and because the grammar of the code segment is predefined, the code segment is often simple to write, and the development workload is far less than that of a mode of capturing the log information and performing statistical analysis through a manual mode or a script file mode after the common service log is generated. When the service log is analyzed subsequently, the compiling and the running of the code segments are carried out according to the same mode, and the service log after the format is updated can be analyzed. And the logic processing capacity of the code segment is flexible, and the service log analysis process is efficient and has strong expansibility.
Based on the service log analysis method in fig. 1, some embodiments of the present application further provide some specific embodiments and extension schemes of the service log analysis method, which are explained below.
In some embodiments, the code segments are identified and extracted by specific identifying words. For example, code fragments are located in parentheses after a particular identifying word. Thus, the text in the parentheses of the set identification words is actually the code.
In some embodiments, the code segments conform to a predetermined grammar. The preset grammar can be a grammar of a general programming language or a self-defined grammar. The preset grammar can be one grammar or a plurality of grammars. For example, the text in a code segment is identified by a particular character that one segment is grammar a compliant and the other segment is grammar B compliant.
In some embodiments, step 102 comprises: combining the code segments in each service log according to a preset rule to form a program code consisting of a plurality of code segments; step 103 comprises: compiling and operating the program code to obtain a comprehensive analysis result of the service log, wherein the analysis result comprises a plurality of service log information.
The predetermined rule is, for example, to arrange the code fragments in chronological order of the service log.
The process of running the program code is the analysis process of the information contained in the service log.
In some embodiments, the code segment includes assignment statements, and includes operation statements and/or conditional judgment statements. The assignment statement may embody the information contained in the text segment in the journal text. The operation statement can embody the operation to be executed when the service log is analyzed subsequently. The conditional judgment statement embodies the logic of analyzing and processing the service log.
In some embodiments, the operation statement includes: at least one of summation, averaging, frequency statistics, interval distribution statistics, normal distribution parameters, variance and alarm. The operation to be actually completed by the budget statement can be flexibly set according to the requirement of the user.
In some embodiments, the service log includes at least one specific service field and service log information corresponding to the specific service field, and the analysis result includes a statistical result of the service log information corresponding to the specific service field.
The traffic-specific field is, for example, "trans _ tp" in the following, which indicates a certain transaction type. Statistical information relating to the transaction type can be obtained after running the program code.
Referring now to FIG. 2, a developer of a business log may implement a definition grammar. How grammars are defined can be set according to the prior art.
For example "block: the | block exp EOL' is a recursive representation method, and the block can be an empty string or can be composed of bolck + exp + EOL (end symbol)
Fig. 3 shows 3 service logs conforming to the grammar shown in fig. 2.
In FIG. 3, "NOICE: 085959.083669first trans success is a log header set according to the usual format of a service log.
"syntax { }" identifies that the text in { } is actually program code.
Text information of the conventional service log, i.e., the content of the text segment, is identified by the ellipses in fig. 3.
"trans _ tp ═ 1" is an assignment statement indicating that the transaction type is 1.
"buss _ tp ═ 2" is an assignment statement, indicating that the traffic type is 2.
The "type [2] + +" assignment statement, the count of the 2 nd category is incremented by 1.
"@ process ═ 2000" is an assignment statement, indicating that the processing time of this time is 2000 (millimeters).
"$ resp _ code ═ 000'" is an assignment statement, indicating that the response code of this time is "000" (success).
"if error _ cd ═ 1then & error _ msg ═ sodium error' ″, is a conditional judgment statement, meaning that if the error code is 1, alarm information is assigned.
When the service diary needs to be subjected to statistical analysis, the code segments only need to be extracted and spliced into a program. Fig. 4 shows a program formed by the 3 code segments in fig. 3. Of course, not all statements in a code segment need necessarily be present in the program code. For example, a set function may be used to define which information in a code segment needs to be extracted.
FIG. 4 illustrates program code derived from the service log of FIG. 3.
For example, a command of the form: "./parse to be analyzed file trans _ tp buss _ tp".
"./parse" is the generated code interpreter, and this command means that both trans _ tp and buss _ tp are analyzed in the text to be analyzed (i.e., the aforementioned traffic log shown in FIG. 3).
The following analytical results were obtained:
trans_tp＝1，buss_tp＝2。
the average of the processes was 2500, and the number of statistics was 2.
The number of times that the distribution of resp _ code is 000 is 2.
type[2]＝2。
trans_tp＝1，buss_tp＝3。
The average of the processes was 1500, and the statistical number was 1.
The number of times that the distribution of resp _ code is 001 is 1.
type[3]＝1。
”
error_msg＝some error。
It should be noted that the code segments in the service log may be manually input, or may be automatically generated by the device for generating the service log. This is not a limitation of the present application.
Based on the same technical concept, an embodiment of the present application further provides a service log analysis device, configured to execute the service log analysis method provided in any of the embodiments. Fig. 5 is a schematic structural diagram of a service log analysis device according to an embodiment of the present application.
As shown in fig. 5, the service log analysis apparatus includes:
the system comprises an acquisition module 1, a storage module and a processing module, wherein the acquisition module 1 is used for acquiring at least one service log, each service log comprises a text section and a code segment, the text section is a log text, and the code segment is a code which is in a text form and accords with at least one preset grammar;
the extraction module 2 is used for extracting the code segments in the service log to form program codes;
and the analysis module 3 is used for compiling and running the program code to obtain an analysis result of the service log.
In some embodiments, the code segments are identified and extracted by specific identifying words.
In some embodiments, the extraction module 2 is specifically configured to: combining the code segments in each service log according to a preset rule to form a program code consisting of a plurality of code segments; the analysis module 3 is specifically configured to: compiling and operating the program code to obtain a comprehensive analysis result of the service log, wherein the analysis result comprises a plurality of service log information.
In some embodiments, the code segments include assignment statements and operation statements.
In some embodiments, the service log includes at least one specific service field and service log information corresponding to the specific service field, and the analysis result includes a statistical result of the service log information corresponding to the specific service field.
It should be noted that the service log analysis device in the embodiment of the present application may implement each process of the foregoing method embodiment, and achieve the same effect and function, which is not described herein again.
Fig. 6 is a service log analysis apparatus according to an embodiment of the present application, configured to execute the service log analysis method shown in fig. 1, where the service log analysis apparatus includes: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to cause the at least one processor to perform: the service log analysis method is described in the foregoing.
According to some embodiments of the application, there is provided a non-transitory computer storage medium of a method having stored thereon computer-executable instructions configured to, when executed by a processor, perform: the service log analysis method is described in the foregoing.
The embodiments in the present application are described in a progressive manner, and the same and similar parts among the embodiments can be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, the description of the apparatus and computer-readable storage medium embodiments is simplified because they are substantially similar to the method embodiments, and reference may be made to some descriptions of the method embodiments for their relevance.
The apparatus and the computer-readable storage medium provided in the embodiment of the present application correspond to the method one to one, and therefore, the apparatus and the computer-readable storage medium also have similar advantageous technical effects to the corresponding method.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus, and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. Further, while the operations of the methods of the present application are depicted in the drawings in a particular order, this does not require or imply that these operations must be performed in this particular order, or that all of the illustrated operations must be performed, to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step execution, and/or one step broken down into multiple step executions.
While the spirit and principles of the application have been described with reference to several particular embodiments, it is to be understood that the application is not limited to the disclosed embodiments, nor is the division of aspects, which is for convenience only as the features in such aspects may not be combined to benefit from the description. The application is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.
Claims (12)
1. A method for analyzing a service log, comprising:
the method comprises the steps that at least one service log is obtained, each service log comprises a text section and a code section, the text section is a log text, and the code section is a code which is in a text form and accords with at least one preset grammar;
extracting the code segments in the service log to form program codes;
compiling and operating the program code to obtain an analysis result of the service log.
2. The method of claim 1, wherein the code segments are identified and extracted by specific identifying words.
3. The method of claim 1,
extracting the code segments in the service log to form program codes, wherein the program codes comprise: combining the code segments in each service log according to a preset rule to form a program code consisting of a plurality of code segments;
compiling and running the program code to obtain an analysis result of the service log, wherein the analysis result comprises the following steps: compiling and operating the program code to obtain a comprehensive analysis result of the service log, wherein the analysis result comprises a plurality of service log information.
4. The method according to claim 1, characterized in that the code segments contain assignment statements, operation statements and/or conditional judgment statements.
5. The method of claim 4, wherein the service log comprises at least one specific service field and service log information corresponding to the specific service field, and the analysis result comprises a statistical result of the service log information corresponding to the specific service field.
6. A service log analysis apparatus, comprising:
the system comprises an acquisition module, a storage module and a processing module, wherein the acquisition module is used for acquiring at least one service log, each service log comprises a text section and a code segment, the text section is a log text, and the code segment is a code which is in a text form and accords with at least one preset grammar;
the extracting module is used for extracting the code segments in the service log to form program codes;
and the analysis module is used for compiling and operating the program code to obtain an analysis result of the service log.
7. The apparatus according to claim 6, characterized in that said code segment is identified and extracted by a specific identifying word.
8. The apparatus of claim 6,
the extraction module is specifically configured to: combining the code segments in each service log according to a preset rule to form a program code consisting of a plurality of code segments;
the analysis module is specifically configured to: compiling and operating the program code to obtain a comprehensive analysis result of the service log, wherein the analysis result comprises a plurality of service log information.
9. The apparatus according to claim 6, wherein the code segment comprises assignment statements, operation statements and/or conditional judgment statements.
10. The apparatus of claim 6, wherein the service log comprises at least one specific service field and service log information corresponding to the specific service field, and the analysis result comprises a statistical result of the service log information corresponding to the specific service field.
11. A service log analysis apparatus, comprising:
at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to cause the at least one processor to perform: the method according to any one of claims 1 to 5.
12. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a program that, when executed by a processor, causes the processor to perform: the method according to any one of claims 1 to 5.
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| CN112114817A (en) * | 2020-09-28 | 2020-12-22 | 中国银行股份有限公司 | COBOL language-based data dictionary field information acquisition method and device |
| CN113064874A (en) * | 2021-04-29 | 2021-07-02 | 北京数字认证股份有限公司 | Method and device for recording log |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113992537A (en) * | 2021-10-26 | 2022-01-28 | 上海网达软件股份有限公司 | Log management method, system, equipment and storage medium for online transcoding |
| CN113992537B (en) * | 2021-10-26 | 2023-06-20 | 上海网达软件股份有限公司 | Log management method, system, equipment and storage medium for online transcoding |
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