CN115934646A - Log query method, device, equipment and storage medium - Google Patents
Log query method, device, equipment and storage medium Download PDFInfo
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Abstract
The application discloses a log query method, a log query device, log query equipment and a storage medium. The method comprises the following steps: acquiring target parameters and log parameters, acquiring a target cluster container list according to the target parameters and the cluster container list, acquiring a target log file list according to the target parameters and the target cluster container list, and determining a target log file according to the log parameters and the target log file list to serve as a log query result. The method comprises the steps of collecting files of a plurality of containers into a cluster container list, inquiring, primarily screening out the container where a required log file is located, further inquiring a target cluster container list, determining a target log file list where the required log file is located, and finally determining the target log file according to log parameters, so that the log file is automatically inquired, and the log inquiring efficiency is improved.
Description
Technical Field
The present application relates to the field of log query technologies, and in particular, to a log query method, apparatus, device, and storage medium.
Background
With the development of science and technology, application systems become one of the important cores of various electronic devices. In order to ensure the normal operation of the application system, the application system needs to be checked periodically.
Currently, the application system is generally checked by extracting the log file and then determining whether the application system has an anomaly and a risk during the operation. In the prior art, the extraction of the log file is generally to perform manual log query on a container corresponding to an application system, but because the container corresponding to the application system includes a plurality of containers, it takes time and labor to perform manual query on the plurality of containers, and there may be a correlation between the containers, and there may also be a certain correlation between corresponding log information, so when a maintenance person wants to obtain a log file of a certain function, it may also be necessary to perform query on the plurality of containers one by one.
Based on this, how to improve the efficiency of log query is a technical problem to be solved urgently by those skilled in the art.
Disclosure of Invention
Based on the above problems, the present application provides a log query method, device, equipment and storage medium, so as to improve the efficiency of log query.
The embodiment of the application discloses the following technical scheme:
in a first aspect, an embodiment of the present application provides a log query method, where the method includes:
acquiring target parameters and log parameters;
obtaining a target cluster container list according to the target parameters and the cluster container list;
obtaining a target log file list according to the target parameters and a target cluster container list;
and determining a target log file as a log query result according to the log parameters and the target log file list.
Optionally, the obtaining the target parameter and the log parameter includes:
acquiring a product name and a log type;
determining an English abbreviation corresponding to the product name according to the product name;
determining a Chinese abbreviation corresponding to the product name according to the product name;
determining a log abbreviation corresponding to the log type according to the log type;
taking the English abbreviation and the Chinese abbreviation as target parameters;
and the log is called as a log parameter for short.
Optionally, the obtaining a target cluster container list according to the target parameter and the cluster container list includes:
matching the English abbreviation with the cluster container list to obtain one or more cluster container sub-lists;
and taking the one or more cluster container sub-lists as a target cluster container list.
Optionally, the obtaining a target log file list according to the target parameter and the target cluster container list includes:
matching the Chinese abbreviation with the target cluster container list to obtain one or more log file sub-lists;
and taking the one or more log file sub-lists as a target log file list.
Optionally, the determining a target log file according to the log parameter and the target log file list as a log query result includes:
matching the log abbreviation with the target log file to obtain one or more log subfiles;
and taking the one or more log subfiles as a log query result.
In a second aspect, an embodiment of the present application provides a log query apparatus, where the apparatus includes:
the acquisition module is used for acquiring target parameters and log parameters;
the first query module is used for obtaining a target cluster container list according to the target parameters and the cluster container list;
the second query module is used for obtaining a target log file list according to the target parameters and the target cluster container list;
and the log query result determining module is used for determining a target log file as a log query result according to the log parameters and the target log file list.
Optionally, the obtaining module includes:
the first obtaining submodule is used for obtaining the product name and the log type;
the English abbreviation determining module is used for determining the English abbreviation corresponding to the product name according to the product name;
the Chinese abbreviation determining module is used for determining the Chinese abbreviation corresponding to the product name according to the product name;
the log abbreviation determining module is used for determining the log abbreviation corresponding to the log type according to the log type;
the second obtaining submodule is used for taking the English abbreviation and the Chinese abbreviation as target parameters;
and the third obtaining submodule is used for taking the log as a log parameter for short.
Optionally, the first query module includes:
the first matching module is used for matching the English abbreviation with the cluster container list to obtain one or more cluster container sub-lists;
a first query module block to treat the one or more cluster container sub-lists as a target cluster container list.
In a third aspect, an embodiment of the present application provides a computer device, including: a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor implements the log query method according to the first aspect when executing the computer program.
In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, where instructions are stored in the computer-readable storage medium, and when the instructions are executed on a terminal device, the instructions cause the terminal device to perform the log query method according to the first aspect.
Compared with the prior art, the method has the following beneficial effects: the method comprises the steps of obtaining a target parameter and a log parameter, obtaining a target cluster container list according to the target parameter and the cluster container list, obtaining a target log file list according to the target parameter and the target cluster container list, and determining a target log file according to the log parameter and the target log file list to serve as a log query result. The method comprises the steps of collecting files of a plurality of containers into a cluster container list, inquiring, primarily screening out the container where a required log file is located, further inquiring a target cluster container list, determining a target log file list where the required log file is located, and finally determining the target log file according to log parameters, so that the log file is automatically inquired, and the log inquiring efficiency is improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the description below are only some embodiments of the present application, and for those skilled in the art, other drawings may be obtained according to these drawings without inventive labor.
Fig. 1 is a flowchart of a log query method provided in an embodiment of the present application;
fig. 2 is a schematic structural diagram of a log query device according to an embodiment of the present application.
Detailed Description
As described above, in research on log queries, it is found that currently, an application system is generally checked by extracting a log file and then determining whether the application system has an abnormality and a risk during operation. In the prior art, the extraction of the log file is generally to perform manual log query on a container corresponding to an application system, but because the container corresponding to the application system includes a plurality of containers, it takes time and labor to perform manual query on the plurality of containers, and there may be a correlation between the containers, and there may also be a certain correlation between corresponding log information, so when a maintenance person wants to obtain a log file of a certain function, it may also be necessary to perform query on the plurality of containers one by one.
In order to solve the foregoing problems, embodiments of the present application provide a log query method, apparatus, device, and storage medium. The method comprises the following steps: acquiring target parameters and log parameters, acquiring a target cluster container list according to the target parameters and the cluster container list, acquiring a target log file list according to the target parameters and the target cluster container list, and determining a target log file according to the log parameters and the target log file list to serve as a log query result.
Therefore, files of a plurality of containers are collected into a cluster container list and are inquired, the container where the required log file is located is preliminarily screened out, the target cluster container list is further inquired, the target log file list where the required log file is located is determined, the target log file is determined according to the log parameters, the log file is automatically inquired, and the log inquiring efficiency is improved.
In order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Referring to fig. 1, the figure is a flowchart of a log query method provided in an embodiment of the present application.
Referring to fig. 1, a log query method provided in an embodiment of the present application may include:
s101: and acquiring target parameters and log parameters.
The target parameter means a parameter corresponding to a log file list required for the query.
The log parameters mean parameters for querying the log file list to obtain the required log file.
S102: and obtaining a target cluster container list according to the target parameters and the cluster container list.
A container means a standardized unit of software that packages code and all its dependencies so that an application runs reliably and quickly from one computing environment to another. The container contains all that is needed when the program runs, such as code, runtime, system tools, system libraries, and settings, and in this embodiment, the container may be a Docker container.
A cluster is understood to be a group of computers that as a whole provide a set of network resources to a user, the individual computer systems being the nodes of the cluster.
It should be noted that, since a system may include a plurality of clusters, each cluster may have its corresponding container, and since there is a certain relationship between the clusters, in order to implement log query on a system, a container list corresponding to all clusters, that is, a target cluster container list, is required.
It should be noted that all clusters indicated in this embodiment mean clusters determined in actual situations, for example, taking a system as an example, the system includes 5 clusters, but 1 cluster is in a dormant state, and then all clusters mean 4 clusters in an operating state.
It should be noted that, through the primary filtering in step S102, a target cluster container list having a relationship with the final target log file may be determined, where the target cluster container list includes at least one.
S103: and obtaining a target log file list according to the target parameters and the target cluster container list.
It should be noted that, by matching a target parameter with a target cluster container list of the system, a target log file list having a matching key system with the target parameter may be determined, where the target log file list includes a required log file, the log file list includes at least one log file, and when the number of the log files is greater than or equal to 2, sources of the log files may be the same container or different containers, which is not limited specifically herein.
It should be noted that, in step S103, secondary screening is performed, a target log file list needs to be determined from at least one cluster container list, and the number of the target log file lists determined by each target cluster container list may be the same or different, which is not limited specifically herein.
S104: and determining a target log file as a log query result according to the log parameters and the target log file list.
It should be noted that, in step S104, only the log parameter corresponding to the required log file needs to be queried in the target log file list determined through the secondary screening, so as to obtain the required log file as a log query result, where the log query result may be one or more target log files.
According to the log query method provided by the embodiment of the application, a target cluster container list is obtained according to a target parameter and a cluster container list by obtaining the target parameter and the log parameter, a target log file list is obtained according to the target parameter and the target cluster container list, and a target log file is determined according to the log parameter and the target log file list and is used as a log query result. The method comprises the steps of collecting files of a plurality of containers into a cluster container list, inquiring, primarily screening out the container where a required log file is located, further inquiring a target cluster container list, determining a target log file list where the required log file is located, and finally determining the target log file according to log parameters, so that the log file is automatically inquired, the efficiency of log inquiry is improved, and meanwhile, the method is different from specific inquiry software in the prior art, such as ELK.
Based on the log query method described in the foregoing embodiment, an embodiment of the present application additionally provides a log query method, and according to implementation steps of the foregoing embodiment, a log query process of the present embodiment may be:
(1) Acquiring target parameters and log parameters:
step 11: acquiring a product name and a log type;
step 12: determining an English abbreviation corresponding to the product name according to the product name;
step 13: determining a Chinese abbreviation corresponding to the product name according to the product name;
step 14: determining a log abbreviation corresponding to the log type according to the log type;
step 15: taking the English abbreviation and the Chinese abbreviation as target parameters;
step 16: and the log is called as a log parameter for short.
The sequence numbers in the steps 11 to 16 are only used to distinguish different steps or time sequence relations between different steps, and therefore are not shown in the drawings.
Wherein, the product means
It should be noted that, by using the convention abbreviation (english abbreviation, chinese abbreviation and journal abbreviation) as a parameter, the journal search can be realized without inputting complicated container names, journal paths, journal file names and the like through the parameter, which is simple and easy to use and has more universality, and the operation complexity can be effectively reduced, and the working efficiency can be improved.
It should be noted that, in this embodiment, a chinese abbreviation and an english abbreviation are used as target parameters, and the target parameters are used for the subsequent two screening processes, but in other manners, other names or definition quantities may also be used as the target parameters, and are not limited specifically herein.
(2) Acquiring a target cluster container list:
step 21: matching the English abbreviation with the cluster container list to obtain one or more cluster container sub-lists;
step 22: and taking the one or more cluster container sub-lists as a target cluster container list.
It should be noted that, in this embodiment, according to the english abbreviation of the product name to be queried, all child process (child service) names of the product service are obtained, a container list of the entire service is obtained through a kubecect command, and the obtained container list may be stored in one variable, that is, a target cluster container list.
The sequence numbers in the above steps 21 and 22 are only used for distinguishing different steps or time sequence relations among different steps, and are not shown in the drawings.
(3) Acquiring a target log file list:
step 31: matching the Chinese abbreviation with the target cluster container list to obtain one or more log file sub-lists;
step 32: and taking the one or more log file sub-lists as a target log file list.
It should be noted that, in this embodiment, the product name is referred to by the appointed product name (i.e. chinese abbreviation) as a parameter and is transmitted to the program, and the program performs corresponding judgment according to the parameter, assigns a corresponding log file directory and defines a corresponding log name prefix. The method comprises the steps of defining and assigning a log directory variable to be a corresponding log path according to different products, defining and assigning a log file prefix variable to be a corresponding log file prefix according to different products, transmitting parameters to a date to be inquired by a program, defining and formatting the date variable according to the date parameters by a script, calling an sh command through a kubecect command, combining a plurality of commands to obtain all log file lists which start with the prefix and are used as inquiry dates, and assigning the obtained log file lists to the log file list variables.
The sequence numbers in the above steps 31 and 32 are only used to distinguish different steps or time sequence relations between different steps, and thus are not shown in the drawings.
(4) Determining a log query result:
step 41: matching the log abbreviation with the target log file to obtain one or more log subfiles;
step 42: and taking the one or more log subfiles as a log query result.
It should be noted that, in this embodiment, an agreed abbreviation (i.e., a log is abbreviated for short) is transmitted to the program according to the log category as a parameter, the program performs corresponding definition assignment on the relevant parameter according to the parameter, assigns a keyword for defining query log information, defines a log query information keyword variable according to different log categories, assigns the keyword as a corresponding log query information keyword, defines and formats a date variable according to the date parameter, and performs composite query on the filtered log through a combination of the log query information keyword and the date to obtain the required relevant log information and display the required log information on the terminal.
The sequence numbers in the above steps 41 and 42 are only used to distinguish different steps or time sequence relations between different steps, and thus are not shown in the drawings.
The other log query method provided by the embodiment performs consistent log real-time and historical query on a plurality of sub-services of a product, has the advantages of universality, light weight, self-adaptation, maintenance-free performance and the like, can realize rapid query and analysis on a plurality of logs of a cluster product service, and meets the actual requirements of health check and fault analysis through the logs. The method and the device can quickly inquire the logs in the required time of various products by providing simple parameters, avoid manually logging in a container one by one to retrieve and inquire the logs, improve the efficiency of log inquiry, avoid building a complex ELK system, and avoid additional equipment resources and later maintenance cost.
Based on the log query method provided in the foregoing embodiment, an embodiment of the present application further provides a log query device, referring to fig. 2, which is a schematic structural diagram of the log query device provided in the embodiment of the present application, and with reference to fig. 2, the device 200 may include:
an obtaining module 201, configured to obtain a target parameter and a log parameter;
a first query module 202, configured to obtain a target cluster container list according to the target parameter and the cluster container list;
the second query module 203 is configured to obtain a target log file list according to the target parameter and a target cluster container list;
and a log query result determining module 204, configured to determine a target log file according to the log parameter and the target log file list, as a log query result.
As an example, the obtaining module 201 includes:
the first obtaining submodule is used for obtaining the product name and the log type;
the English abbreviation determining module is used for determining the English abbreviation corresponding to the product name according to the product name;
the Chinese abbreviation determining module is used for determining the Chinese abbreviation corresponding to the product name according to the product name;
the log abbreviation determining module is used for determining the log abbreviation corresponding to the log type according to the log type;
the second obtaining submodule is used for taking the English abbreviation and the Chinese abbreviation as target parameters;
and the third acquisition sub-module is used for taking the log as a log parameter for short.
As an example, the first query module 202 includes:
the first matching module is used for matching the English abbreviation with the cluster container list to obtain one or more cluster container sub-lists;
a first query module block to treat the one or more cluster container sub-lists as a target cluster container list.
As an example, the second query module 203 includes:
the second matching module is used for matching the Chinese abbreviation with the target cluster container list to obtain one or more log file sub-lists;
and the second query sub-module is used for taking the one or more log file sub-lists as a target log file list.
As an example, the log query result determination module 204 includes:
the third matching module is used for matching the log abbreviation with the target log file to obtain one or more log subfiles;
and the log query result determining sub-module is used for taking the one or more log subfiles as the log query result.
The log query device provided by the embodiment of the application has the same beneficial effects as the log query method provided by the embodiment, and therefore, the description is omitted.
The embodiment of the application also provides corresponding equipment and a computer storage medium, which are used for realizing the scheme provided by the embodiment of the application.
The device comprises a memory and a processor, wherein the memory is used for storing instructions or codes, and the processor is used for executing the instructions or codes so as to enable the device to execute the log query method in any embodiment of the application.
The computer storage medium has code stored therein, and when the code is executed, an apparatus for executing the code implements the log query method according to any embodiment of the present application.
It should be noted that, in the present specification, all the embodiments are described in a progressive manner, and the same and similar parts among the embodiments may be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the apparatus and device embodiments, since they are substantially similar to the method embodiments, they are described relatively simply, and reference may be made to some of the descriptions of the method embodiments for related points. The above-described embodiments of the apparatus and device are merely illustrative, and units described as separate components may or may not be physically separate, and components indicated as units may or may not be physical units, may be located in one place, or may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
In the embodiments of the present application, the names "first" and "second" (if present) in the names "first" and "second" are used merely for name identification, and do not represent the first and second in sequence.
As can be seen from the above description of the embodiments, those skilled in the art can clearly understand that all or part of the steps in the above embodiment methods can be implemented by software plus a general hardware platform. Based on such understanding, the technical solution of the present application may be embodied in the form of a software product, which may be stored in a storage medium, such as a read-only memory (ROM)/RAM, a magnetic disk, an optical disk, or the like, and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network communication device such as a router) to execute the method according to the embodiments or some parts of the embodiments of the present application.
The above description is only one specific embodiment of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present application should be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A method of log querying, the method comprising:
acquiring target parameters and log parameters;
obtaining a target cluster container list according to the target parameters and the cluster container list;
obtaining a target log file list according to the target parameters and a target cluster container list;
and determining a target log file as a log query result according to the log parameters and the target log file list.
2. The log query method of claim 1, wherein the obtaining target parameters and log parameters comprises:
acquiring a product name and a log type;
determining an English abbreviation corresponding to the product name according to the product name;
determining a Chinese abbreviation corresponding to the product name according to the product name;
determining a log abbreviation corresponding to the log type according to the log type;
taking the English abbreviation and the Chinese abbreviation as target parameters;
and the log is called as a log parameter for short.
3. The log querying method of claim 2, wherein obtaining a target cluster container list according to the target parameter and the cluster container list comprises:
matching the English abbreviation with the cluster container list to obtain one or more cluster container sub-lists;
and taking the one or more cluster container sub-lists as a target cluster container list.
4. The log querying method according to claim 2, wherein obtaining a target log file list according to the target parameter and a target cluster container list comprises:
matching the Chinese abbreviation with the target cluster container list to obtain one or more log file sub-lists;
and taking the one or more log file sub-lists as a target log file list.
5. The log query method as claimed in claim 2, wherein said determining a target log file according to the log parameter and the target log file list as a log query result comprises:
matching the log abbreviation with the target log file to obtain one or more log subfiles;
and taking the one or more log subfiles as a log query result.
6. An apparatus for log query, the apparatus comprising:
the acquisition module is used for acquiring target parameters and log parameters;
the first query module is used for obtaining a target cluster container list according to the target parameters and the cluster container list;
the second query module is used for obtaining a target log file list according to the target parameters and a target cluster container list;
and the log query result determining module is used for determining a target log file as a log query result according to the log parameters and the target log file list.
7. The log query device of claim 6, wherein the obtaining module comprises:
the first obtaining submodule is used for obtaining the product name and the log type;
the English abbreviation determining module is used for determining the English abbreviation corresponding to the product name according to the product name;
the Chinese abbreviation determining module is used for determining the Chinese abbreviation corresponding to the product name according to the product name;
the log abbreviation determining module is used for determining the log abbreviation corresponding to the log type according to the log type;
the second obtaining submodule is used for taking the English abbreviation and the Chinese abbreviation as target parameters;
and the third acquisition sub-module is used for taking the log as a log parameter for short.
8. The log querying device of claim 7, wherein the first querying module comprises:
the first matching module is used for matching the English abbreviation with the cluster container list to obtain one or more cluster container sub-lists;
a first query module block to treat the one or more cluster container sub-lists as a target cluster container list.
9. A computer device, comprising: a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the log query method of any one of claims 1-5 when executing the computer program.
10. A computer-readable storage medium having stored therein instructions that, when run on a terminal device, cause the terminal device to perform the log query method of any one of claims 1-5.
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| CN202211650602.2A CN115934646A (en) | 2022-12-21 | 2022-12-21 | Log query method, device, equipment and storage medium |
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