CN113535529B - Service log analysis method, device and computer readable storage medium - Google Patents
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Abstract
The application provides a business log analysis method, a business log analysis device and a computer readable storage medium, wherein the business log analysis method comprises the following steps: acquiring at least one service log, wherein each service log comprises a text segment and a code segment, the text segment is a log text, and the code segment is a code in a text form, which accords with at least one preset grammar; extracting the code segments in the service log to form a program code; compiling and operating the program codes 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, a service log analysis device and a computer readable storage medium.
Background
This section is intended to provide a background or context for embodiments of the application. The description herein is not admitted to be prior art by inclusion in this section.
Generally, although the text of the service log has a fixed format, a large number of service logs are subjected to statistical analysis, and engineering personnel are still required to manually extract service data in the related logs, sort and count the data in the logs, so that the workload is huge. Although some external script tools for assisting in extracting service log information exist at present, once the service type is updated, the format of the service log is changed accordingly, and at the moment, an external script file needs to be redeveloped or an original script file needs to be modified, so that the statistical analysis of the service log after service update is adapted. This makes the processing system performing the business log analysis poorly scalable and the labor cost of performing the expansion or modification 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 apparatus, the above-mentioned problems can be at least partially solved.
The following schemes are provided in the embodiments of the present application: a method for analyzing a service log, comprising:
acquiring at least one service log, wherein each service log comprises a text segment and a code segment, the text segment is a log text, and the code segment is a code in a text form, which accords with at least one preset grammar;
Extracting the code segments in the service log to form a program code;
Compiling and operating the program codes to obtain an analysis result of the service log.
The following schemes are provided in the embodiments of the present application: a traffic log analyzing apparatus, comprising:
the system comprises an acquisition module, a storage module and a storage module, wherein the acquisition module is used for acquiring at least one service log, each service log comprises a text segment and a code segment, the text segment is a log text, and the code segment is a code in a text form, which accords with at least one preset grammar;
the extraction 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 running the program codes to obtain the analysis result of the service log.
The following schemes are provided in the embodiments of the present application: a traffic log analyzing 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, the instructions being executable by the at least one processor to enable the at least one processor to perform: the business log analysis method.
The following schemes are provided in the embodiments of the present application: a computer-readable storage medium storing a program that, when executed by a processor, causes the processor to perform: the business log analysis method.
The above at least one technical scheme adopted by the embodiment of the application can achieve the following beneficial effects: the added code segments in the service log can carry out 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 is required to be added or modified in the service log, the code segments are only required to be written according to the predefined grammar, and because the grammar of the code segments is predefined, the writing of the code segments is easy, and the development workload is far less than that of a mode of capturing the log information and carrying out statistical analysis in a manual or script file mode after the common service log is generated. When the business log is analyzed later, the business log after the updating format can be analyzed by compiling and running the code segments in the same mode. 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 foregoing description is only an overview of the technical solutions of the present application, so that the technical means of the present application may be more clearly understood and implemented in accordance with the content of the specification. The following specific embodiments of the present application are described in order to make the above and other objects, features and advantages of the present application more comprehensible.
Drawings
The advantages and benefits described herein, as well as other advantages and benefits, will become 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 designate like parts throughout the figures. In the drawings:
FIG. 1 is a flow chart of a method for analyzing a service log according to an embodiment of the application;
FIG. 2 is an example of a grammar used in a business log analysis method according to one 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 service log shown in FIG. 3;
FIG. 5 is a schematic view of an apparatus according to an embodiment of the present application;
fig. 6 is a schematic structural view 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 the present application, it should be understood that terms such as "comprises" or "comprising," etc., are intended to indicate the presence of features, numbers, steps, acts, components, portions, or combinations thereof disclosed in the specification, and do not preclude the presence or addition of one or more other features, numbers, steps, acts, components, portions, or combinations thereof.
In addition, it should be noted that, without conflict, the embodiments of the present application and the features of the embodiments may be combined with each other. The application will be described in detail below with reference to the drawings in connection with embodiments.
FIG. 1 is a flow diagram of a method for, in this flow, from a device perspective, an execution subject being one or more electronic devices, and more particularly, processing modules, according to an embodiment of the present application; from the program perspective, the execution subject may be a program mounted on these electronic devices, accordingly.
The flow in fig. 1 may include the following steps 101 to 104.
Step 101, obtaining at least one service log, wherein each service log comprises a text segment and a code segment, the text segment is a log text, and the code segment is a code in a text form, which accords with at least one preset grammar.
The text segment and the code segment are synchronously generated and written into the service log in the service processing process.
And 102, extracting the code segments in the service log to form program codes.
And 103, compiling and running the program codes to obtain an analysis result of the service log.
The added code segments in the service log can carry out 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 is required to be added or modified in the service log, the code segments are only required to be written according to the predefined grammar, and because the grammar of the code segments is predefined, the writing of the code segments is easy, and the development workload is far less than that of a mode of capturing the log information and carrying out statistical analysis in a manual or script file mode after the common service log is generated. When the business log is analyzed later, the business log after the updating format can be analyzed by compiling and running the code segments in the same mode. 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 of fig. 1, some embodiments of the present application further provide some specific implementations and expansion schemes of the service log analysis method, which are described below.
In some embodiments, the code segments are identified and extracted by specific identification words. For example, a code segment is located in parentheses after a particular identification word. Thus, the text in brackets behind it is indicated by the set identifier as the code.
In some embodiments, the code segment conforms to a pre-set grammar. The preset grammar can be a grammar of a general programming language or a custom grammar. The preset grammar can be one grammar or a plurality of grammars. For example, text in a code segment is identified by a particular character as conforming to grammar a and another segment as conforming to grammar B.
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 codes to obtain comprehensive analysis results of the service logs, wherein the analysis results comprise a plurality of service log information.
The predetermined rule is, for example, to arrange the code segments in chronological order of the service log.
The process of running the program code is also known as the analysis 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 information contained in the text segment in the log text. The operation statement may represent an operation to be performed when the business log is analyzed later. The conditional judgment statement embodies logic for analyzing and processing the service log.
In some embodiments, the operation statement includes: at least one of summing, averaging, statistics of the number of times, statistics of the interval distribution, parameters of the normal distribution, variance and alarm. The operation to be actually completed by the budget statement can be flexibly set according to the requirements 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 specific traffic field is for example "trans_tp" hereinafter, which indicates a certain transaction type. Statistical information about 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 the grammar definition can be set according to the prior art.
Such as "block" in fig. 2: the block exp EOL "is a recursive representation method, and the block may be a null string or may be composed of bolck +exp+eol (end symbol)
Fig. 3 shows 3 service logs consistent with the grammar shown in fig. 2.
"NOTICE" in FIG. 3: 085959.083669first trans success "is a log header set in the usual format of a traffic log.
The text in "syntmax { }" identifies { } as program code.
The ellipsis in fig. 3 identifies the text information, i.e., the content of the text segment, of the conventional service log.
"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, count of category 2, is incremented by 1.
"@ Process=2000" is an assignment statement, indicating that the processing time at this time is 2000 (millimeters).
"$Resp_code= '000'" is an assignment statement indicating that the answer code of this time is "000" (success).
"If error_cd= 1the n & error_msg= 'name error'" is a conditional judgment statement, meaning that if the error code is 1, alarm information is assigned.
When the statistical analysis is needed for the business diary, only the code segments are extracted and spliced into a program. Shown in fig. 4 is a program of 3 code segments of fig. 3. Of course, statements in a code segment do not necessarily appear in program code entirely. For example, a set function may be used to define which information in a code segment needs to be extracted.
Fig. 4 shows the program code obtained from the service log shown in fig. 3.
For example, executing a command of the form: "./burst to be analyzed file trans_tp buss_tp).
"./Parameter" is the generated code interpreter, and the meaning of this command is to analyze both trans-tp and buss-tp in the text to be analyzed (i.e. the aforementioned traffic log shown in fig. 3).
The analysis results were as follows:
trans_tp＝1，buss_tp＝2。
the average value of the process was 2500, and the statistical number 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 value of the process 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 that generates the service log. The application is not limited in this regard.
Based on the same technical concept, the embodiment of the application also provides a service log analysis device, which is used for executing the service log analysis method provided by any embodiment. 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 device includes:
the system comprises an acquisition module 1, a storage module and a storage module, wherein the acquisition module 1 is used for acquiring at least one service log, each service log comprises a text segment and a code segment, the text segment is a log text, and the code segment is a code in a text form, and the code accords with at least one preset grammar;
an extracting module 2, configured to extract the code segments in the service log to form a program code;
And the analysis module 3 is used for compiling and running the program codes to obtain the analysis result of the service log.
In some embodiments, the code segments are identified and extracted by specific identification 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 codes to obtain comprehensive analysis results of the service logs, wherein the analysis results comprise a plurality of service log information.
In some embodiments, the code segment includes an assignment statement and an operation statement.
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 embodiment of the foregoing method, and achieve the same effects and functions, which are not described herein again.
Fig. 6 is a view illustrating a service log analysis apparatus for performing the service log analysis method illustrated in fig. 1 according to an embodiment of the present application, the service log analysis apparatus including: 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, the instructions being executable by the at least one processor to enable the at least one processor to perform: the business log analysis method.
According to some embodiments of the present application, there is provided a non-volatile computer storage medium of a method having stored thereon computer executable instructions arranged, when executed by a processor, to perform: the business log analysis method.
The embodiments of the present application are described in a progressive manner, and the same and similar parts of the embodiments are all referred to each other, and each embodiment is mainly described in the differences from the other embodiments. In particular, for apparatus and computer readable storage medium embodiments, the description thereof is simplified as it is substantially similar to method embodiments, as relevant may be found in part in the description of method embodiments.
The apparatus and the computer readable storage medium provided in the embodiments of the present application are in one-to-one correspondence with the methods, so that the apparatus and the computer readable storage medium also have similar beneficial technical effects as the corresponding methods, and since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the apparatus and the computer readable storage medium are not described again here.
It will be appreciated by those skilled in the art that 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 flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations 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 one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of computer-readable media.
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 storage media for a computer 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, which can be used to store information that can be accessed by a computing device. Furthermore, although the operations of the methods of the present application are depicted in the drawings in a particular order, this is not required or suggested that these operations must be performed in this particular order or that all of the illustrated operations must be performed in order to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step to perform, and/or one step decomposed into multiple steps to perform.
While the spirit and principles of the present 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 does it imply that features of the various aspects are not useful in combination, nor are they useful in any combination, such as for convenience of description. The application is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.
Claims (10)
1. A method for analyzing a service log, comprising:
Acquiring at least one service log, wherein each service log comprises a text segment and a code segment, the text segment is a log text, the code segment is a code in a text form conforming to at least one preset grammar, and the code segment comprises an assignment statement, an operation statement and/or a condition judgment statement;
Extracting the code segments in the service log to form a program code;
Compiling and operating the program codes 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 identification words.
3. The method of claim 1, wherein the step of determining the position of the substrate comprises,
Extracting the code segments in the service log to form program codes, including: 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 operating 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 codes to obtain comprehensive analysis results of the service logs, wherein the analysis results comprise a plurality of service log information.
4. The method of claim 1, wherein the service log comprises at least one specific service field and service log information corresponding to the specific service field, and wherein the analysis result comprises a statistical result of the service log information corresponding to the specific service field.
5. A traffic log analyzing apparatus, comprising:
The system comprises an acquisition module, a judgment module and a judgment module, wherein the acquisition module is used for acquiring at least one service log, each service log comprises a text segment and a code segment, the text segment is a log text, the code segment is a code which accords with at least one preset grammar in a text form, and the code segment comprises an assignment statement, an operation statement and/or a condition judgment statement;
the extraction 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 running the program codes to obtain the analysis result of the service log.
6. The apparatus of claim 5, wherein the code segments are identified and extracted by specific identification words.
7. The apparatus of claim 5, wherein the device comprises a plurality of sensors,
The extraction module is specifically used for: 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 used for: compiling and operating the program codes to obtain comprehensive analysis results of the service logs, wherein the analysis results comprise a plurality of service log information.
8. The apparatus of claim 5, wherein the service log comprises at least one specific service field and service log information corresponding to the specific service field, and wherein the analysis result comprises a statistical result of the service log information corresponding to the specific service field.
9. A traffic log analyzing 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, the instructions being executable by the at least one processor to enable the at least one processor to perform: the method according to any one of claims 1 to 4.
10. A computer-readable storage medium storing a program that, when executed by a processor, causes the processor to perform: the method according to any one of claims 1 to 4.
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