CN109408640A - Log classification method, device and storage medium - Google Patents
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- CN109408640A CN109408640A CN201811300533.6A CN201811300533A CN109408640A CN 109408640 A CN109408640 A CN 109408640A CN 201811300533 A CN201811300533 A CN 201811300533A CN 109408640 A CN109408640 A CN 109408640A
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Abstract
The present invention provides a kind of log classification method, device and storage medium, by the original log sequence for obtaining log to be sorted, original log sequence is pre-processed, the logged sequence that obtains that treated, logged sequence is compared with preset log sort tree structure, obtains the classification results of log to be sorted.The above method realizes automatic classification of the system to running log, improves the efficiency of log classification.
Description
Technical field
The present embodiments relate to log sorting technique field more particularly to a kind of log classification methods, device and storage
Medium.
Background technique
With the high speed development of Internet service, Internet enterprises increasingly pay attention to the operation maintenance of service system.Using
The operation maintenance of server directly influences the user experience of enterprise, is related to the vital interests of enterprise.It is arranged in operation maintenance
Application service problem Primary Reference system log is looked into, system log is the reference and investigation of most effective judgement system running state
File, as the promotion and application service engineering gigantism, enterprise application service of computer server performance generate all the time
Massive logs file.Therefore, the running log of application server, which carries out classification, is particularly important.
Majority application server when something goes wrong, often by the way of manually investigation log, runs system at present
Log is classified.However, as enterprise applies the increase of log quantity, the effect manually checking log, classifying to log
Rate is lower.Therefore, realize application server log is checked automatically, classify it is especially urgent.
Summary of the invention
Log classification method, device and storage medium provided by the invention realize automatic classification of the system to running log,
Improve the efficiency of log classification.
First aspect present invention provides a kind of log classification method, comprising:
Obtain the original log sequence of log to be sorted；
The original log sequence is pre-processed, the logged sequence that obtains that treated；
The logged sequence is compared with preset log sort tree structure, obtains the classification of the log to be sorted
As a result.
In a kind of possible implementation, the creation process of the log sort tree structure, comprising:
Obtain the first log that system generates in preset period of time；
First log is pre-processed, the second log is obtained；
It is resequenced according to logged sequence of the predetermined order rule to second log, obtains third log；
The log sort tree structure is constructed according to the third log.
In a kind of possible implementation, second log includes content field；It is described right according to predetermined order rule
The logged sequence of second log is resequenced, and third log is obtained, comprising:
Count the frequency that various words occur in the preset period of time in the content field；
Second log is resequenced according to the frequency that the word occurs, obtains third log.
It is described that the log sort tree structure is constructed according to the third log in a kind of possible implementation, comprising:
Initial log sort tree structure is constructed according to the third log；
Beta pruning is carried out to the initial log sort tree structure according to default branch's number, obtains the log classification tree knot
Structure.
Second aspect of the present invention provides a kind of log sorter, comprising:
Module is obtained, for obtaining the original log sequence of log to be sorted；
Preprocessing module, for being pre-processed to the original log sequence, the logged sequence that obtains that treated；
Categorization module, for the logged sequence to be compared with preset log sort tree structure, obtain it is described to
The classification results of classification log.
In a kind of possible implementation, the acquisition module is also used to obtain system generates in preset period of time first
Log；
The preprocessing module is also used to pre-process first log, obtains the second log；
Described device further include: sorting module, for the logged sequence according to predetermined order rule to second log
It resequences, obtains third log；
Creation module, for constructing the log sort tree structure according to the third log.
In a kind of possible implementation, second log includes content field；
The sorting module, is specifically used for:
Count the frequency that various words occur in the preset period of time in the content field；
Second log is resequenced according to the frequency that the word occurs, obtains third log.
In a kind of possible implementation, the creation module is specifically used for:
Initial log sort tree structure is constructed according to the third log；
Beta pruning is carried out to the initial log sort tree structure according to default branch's number, obtains the log classification tree knot
Structure.
Third aspect present invention provides a kind of log sorter, comprising:
Memory；
Processor；And
Computer program；
Wherein, the computer program stores in the memory, and is configured as being executed by the processor with reality
Now such as the described in any item methods of first aspect present invention.
Fourth aspect present invention provides a kind of computer readable storage medium, is stored thereon with computer program, the meter
Calculation machine program is executed by processor to realize such as the described in any item methods of first aspect present invention.
Log classification method, device and storage medium provided by the invention, by the original log for obtaining log to be sorted
Sequence pre-processes original log sequence, the logged sequence that obtains that treated, and logged sequence and preset log are classified
Tree construction is compared, and obtains the classification results of log to be sorted.The above method realizes automatic classification of the system to running log,
Improve the efficiency of log classification.
Detailed description of the invention
The drawings herein are incorporated into the specification and forms part of this specification, and shows and meets implementation of the invention
Example, and be used to explain the principle of the present invention together with specification.
Fig. 1 is the flow diagram for the log classification method that one embodiment of the invention provides；
Fig. 2 is the flow diagram of the creation process for the log sort tree structure that one embodiment of the invention provides；
Fig. 3 is the schematic diagram that log sort tree structure is constructed according to third log that one embodiment of the invention provides；
Fig. 4 is the structural schematic diagram for the log sorter that one embodiment of the invention provides；
Fig. 5 be another embodiment of the present invention provides log sorter structural schematic diagram；
Fig. 6 is the hardware structural diagram for the log sorter that one embodiment of the invention provides.
Through the above attached drawings, it has been shown that the specific embodiment of the present invention will be hereinafter described in more detail.These attached drawings
It is not intended to limit the scope of the inventive concept in any manner with verbal description, but is by referring to specific embodiments
Those skilled in the art illustrate idea of the invention.
Specific embodiment
Example embodiments are described in detail here, and the example is illustrated in the accompanying drawings.Following description is related to
When attached drawing, unless otherwise indicated, the same numbers in different drawings indicate the same or similar elements.Following exemplary embodiment
Described in embodiment do not represent all embodiments consistented with the present invention.On the contrary, they be only with it is such as appended
The example of device and method being described in detail in claims, some aspects of the invention are consistent.
Term " includes " and " having " and their any deformations in description and claims of this specification, it is intended that
It is to cover and non-exclusive includes.Such as the process, method, system, product or equipment for containing a series of steps or units do not have
It is defined in listed step or unit, but optionally further comprising the step of not listing or unit, or optionally also wrap
Include the other step or units intrinsic for these process, methods, product or equipment.
"and/or" in the present invention describes the incidence relation of affiliated partner, indicates may exist three kinds of relationships, for example, A
And/or B, can indicate: individualism A exists simultaneously A and B, these three situations of individualism B.Before character "/" typicallys represent
Affiliated partner is a kind of relationship of "or" afterwards.
Log classification method provided in an embodiment of the present invention, by creating log sort tree structure, by the day of system generation
Will is compared with preset log sort tree structure, obtains the classification results of log, is manually checked without operation maintenance personnel,
It determines Log Types, improves the efficiency of log classification.
Technical solution of the present invention is described in detail with specific embodiment below.
Fig. 1 is the flow diagram for the log classification method that one embodiment of the invention provides, and this method can be by arbitrarily holding
The device of row log classification method executes, which can pass through software and or hardware realization.
As shown in Figure 1, log classification method provided in this embodiment includes the following steps:
S101, the original log sequence for obtaining log to be sorted；
In the present embodiment, the original log sequence of log to be sorted includes time field, content field and other character words
Section.
Since system provides a variety of application services, a large amount of system log sequence, different application can be all generated all the time
Corresponding logged sequence has differences, and main difference is in content field.Illustratively, following is what system application program generated
One original log sequence:
2018-01-2120:54:45101.201.*.*POST/mediasite/JobFarm/Controller.svc/
Worker-443-101.*.*.*--200 0 0 29
Wherein, " 2018-01-2120:54:45 " is time field；
“101.201.*.*POST/mediasite/JobFarm/Controller.svc/Worker-443-
101.*.*.*--200 00 29 " is content field, includes other character fields, such as "-" or space in content field.
It should be pointed out that the original log sequence of the log to be sorted of the present embodiment can be a logged sequence,
It can be a plurality of logged sequence, this present embodiment be not especially limited.If the original log sequence of log to be sorted be it is a plurality of,
Subsequent log integrity and log mechanized classification then are done to each original log sequence one by one.
S102, original log sequence is pre-processed, the logged sequence that obtains that treated；
In the present embodiment, log sorter first locates the original log sequence of the log to be sorted got in advance
Reason, filters out unnecessary field, for example, time field (" 2018-01-2120:54:45 " in such as examples detailed above) and its
His character field (i.e. useless character field, such as the "-" or space field " " in examples detailed above) only retains original log sequence
In content field.
Illustratively, following for by pretreated logged sequence:
101.201.*.*POST/mediasite/JobFarm/Controller.svc/Worker 443 101.*.*.*
200 0 0 29
S103, logged sequence is compared with preset log sort tree structure, obtains the classification knot of log to be sorted
Fruit.
Specifically, the log sort tree structure sequence of the present embodiment and saving a large amount of character string and (but being not limited only to word
Symbol string), the text word frequency statistics being normally used in search engine.The present embodiment is real by building the tree construction of logged sequence
Show the automatic classification to system log, improves the classified inquiry efficiency to system log.
Based on preset log sort tree structure, log sorter is by treated in S102 logged sequence and log point
Class tree construction is compared, can the quick obtaining log classification results, convenient for operation maintenance personnel according to classification results to log
It is analyzed and is checked.
Specifically, by treated in S102 logged sequence by order of the field successively with each layer section of log sort tree structure
Point is compared, and determines the node of the corresponding log sort tree structure of each field of logged sequence, until the end of logged sequence
Field；Using the node of the corresponding log sort tree structure of logged sequence end field as the classification results of the log.
Log classification method provided in an embodiment of the present invention, by obtaining the original log sequence of log to be sorted, to original
Beginning logged sequence is pre-processed, the logged sequence that obtains that treated, by logged sequence and preset log sort tree structure into
Row compares, and obtains the classification results of log to be sorted.By the above method, realizes automatic classification of the system to running log, mention
The high efficiency of log classification.
Log classification method shown in above-described embodiment carries out log to be sorted according to preset log sort tree structure
Classification has preferable inquiry classifying quality, with reference to the accompanying drawing to the creation of the log sort tree structure in above-described embodiment
Process is described in detail.
Fig. 2 is the flow diagram of the creation process for the log sort tree structure that one embodiment of the invention provides, such as Fig. 2 institute
Show, the creation process of log sort tree structure provided in this embodiment includes the following steps:
S201, the first log that system generates in preset period of time is obtained；
In the present embodiment, the first log is all history log sequences that system generates in preset period of time, exemplary
, the first log that system generates in preset period of time is as follows:
2018-01-2120:54:45101.201.*.*POST/mediasite/JobFarm/Controller.svc/
Worker-443-101.*.*.*--200 0 0 29
2018-01-2120:54:45101.201.*.*POST/mediasite/JobFarm/Controller.svc/
Worker-443-101.*.*.*--500 0 0 39
2018-01-2120:54:45101.201.*.*POST/mediasite/JobFarm/Controller.svc/
Worker-443-101.*.*.*--200 0 0 129
2018-01-2120:54:45101.201.*.*POST/mediasite/JobFarm/Controller.svc/
Worker-443-101.*.*.*--500 0 0 339
2018-01-2120:54:45101.201.*.*POST/mediasite/JobFarm/Controller.svc/
Worker-443-101.*.*.*--200 0 0 52
2018-01-2120:54:45101.201.*.*POST/mediasite/JobFarm/Controller.svc/
Worker-443-101.*.*.*--200 0 0 54
2018-01-2120:54:45101.201.*.*POST/mediasite/JobFarm/Controller.svc/
Worker-443-101.*.*.*--500 0 0 35
S202, the first log is pre-processed, obtains the second log；
Same above-described embodiment of pretreatment in the present embodiment, filters out unnecessary field in the first log, such as time
Field and other character fields (such as space field etc.), only retain the content field in the first log.
Illustratively, following for by pretreated second log:
101.201.*.*POST/mediasite/JobFarm/Controller.svc/Worker 443 101.*.*.*
200 0 0 29
101.201.*.*POST/mediasite/JobFarm/Controller.svc/Worker 443 101.*.*.*
500 0 0 39
101.201.*.*POST/mediasite/JobFarm/Controller.svc/Worker 443 101.*.*.*
200 0 0 129
101.201.*.*POST/mediasite/JobFarm/Controller.svc/Worker 443 101.*.*.*
500 0 0 339
101.201.*.*POST/mediasite/JobFarm/Controller.svc/Worker 443 101.*.*.*
200 0 0 52
101.201.*.*POST/mediasite/JobFarm/Controller.svc/Worker 443 101.*.*.*
200 0 0 54
101.201.*.*POST/mediasite/JobFarm/Controller.svc/Worker 443 101.*.*.*
500 0 0 35
S203, it is resequenced according to logged sequence of the predetermined order rule to the second log, obtains third log；
Specifically, log sorter counts what various words in the content field of the second log occurred in preset period of time
Frequency；
Second log is resequenced according to the frequency that word occurs, obtains third log.
Illustratively, table 1 is the log word frequency list of the second log.It is appreciated that high frequency word is fixed vocabulary, with day
Will is classified, and correlation is high, and low frequency word is on-fixed vocabulary, little with log classification correlation.
Table 1
| Word | Word frequency |
| 101.201.*.* | 7 |
| POST | 7 |
| /mediasite/JobFarm/Controller.svc/Worker | 7 |
| 443 | 7 |
| 101.*.*.* | 7 |
| 200 | 4 |
| 500 | 3 |
| 29 | 1 |
| 39 | 1 |
| 129 | 1 |
| 339 | 1 |
| 52 | 1 |
| 54 | 1 |
| 0 | 14 |
According to table 1, the content field of the second log can be sorted according to word frequency, constitute new third log.It is as follows:
0 0 101.201.*.*POST/mediasite/JobFarm/Controller.svc/Worker 443
101.*.*.*200 29
0 0 101.201.*.*POST/mediasite/JobFarm/Controller.svc/Worker 443
101.*.*.*500 39
0 0 101.201.*.*POST/mediasite/JobFarm/Controller.svc/Worker 443
101.*.*.*200 129
0 0 101.201.*.*POST/mediasite/JobFarm/Controller.svc/Worker 443
101.*.*.*500 339
0 0 101.201.*.*POST/mediasite/JobFarm/Controller.svc/Worker 443
101.*.*.*200 52
0 0 101.201.*.*POST/mediasite/JobFarm/Controller.svc/Worker 443
101.*.*.*200 54
0 0 101.201.*.*POST/mediasite/JobFarm/Controller.svc/Worker 443
101.*.*.*500 35
S204, log sort tree structure is constructed according to third log.
Specifically, constructing initial log sort tree structure according to third log；
Beta pruning is carried out to initial log sort tree structure according to default branch's number, obtains final log sort tree structure.
Fig. 3 is the schematic diagram that log sort tree structure is constructed according to third log that one embodiment of the invention provides, such as Fig. 3
It is shown, give the building process according to the third log building log sort tree structure in examples detailed above:
(1) third log is inserted into tree construction since root node root；
(2) if next word of third log is the child node of present node, its corresponding child node is constructed；
(3) (2) are repeated until whole words of third log are inserted into tree construction；
(4) according to branch's number is preset to tree construction progress beta pruning, final log sort tree structure is obtained.
Illustratively, if default branch's number is 2, retain the node in tree construction comprising two child nodes, delete the section
Two child nodes of point, such as the child node " 29 " in Fig. 3, " 129 ", " 39 ", " 339 ".
Classified unrelated word by deleting with log, obtains final log sort tree structure.
According to the creation process of above-mentioned log sort tree structure it is found that if will by pretreated logged sequence with it is preset
Log sort tree structure is compared, the classification results of the available logged sequence, which includes log classification tree
Terminal note information in structure, such as " 200 " or " 500 " in Fig. 3.
It should be pointed out that there is a situation where a kind of possible, length by pretreated logged sequence is less than preset
The length of logged sequence to be sorted, at this point, log sorter sends prompt information to operation maintenance personnel, so that operation maintenance personnel is to this
Logged sequence is manually checked and is analyzed.
Optionally, system can periodically be updated above-mentioned log sort tree structure, it is ensured that log sort tree structure
Classification results accuracy.
The creation process of log sort tree structure provided in this embodiment, after the history log of system is pre-processed,
It is resequenced according to predetermined order rule to all logged sequences, according to the log creation log classification tree after rearrangement
Structure, obtained log sort tree structure can determine the terminal node of logged sequence to be sorted, which is log
Classification results.The periodic Update log sort tree structure of system, to improve the accurate of log sort tree structure classification results
Property.
The embodiment of the present invention also provides a kind of log sorter, and shown in Figure 4, the embodiment of the present invention is only with Fig. 4
Example is illustrated, and is not offered as that present invention is limited only to this.
Fig. 4 is the structural schematic diagram for the log sorter that one embodiment of the invention provides, as shown in figure 4, the present embodiment
The log sorter 40 of offer includes:
Module 41 is obtained, for obtaining the original log sequence of log to be sorted；
Preprocessing module 42, for being pre-processed to the original log sequence, the logged sequence that obtains that treated；
Categorization module 43 obtains described for the logged sequence to be compared with preset log sort tree structure
The classification results of log to be sorted.
Log sorter provided in an embodiment of the present invention, including module, preprocessing module and categorization module are obtained, it obtains
Module obtains the original log sequence of log to be sorted, and preprocessing module pre-processes original log sequence, handled
Logged sequence is compared with preset log sort tree structure for logged sequence afterwards, categorization module, obtains log to be sorted
Classification results.Above-mentioned apparatus realizes automatic classification of the system to running log, improves the efficiency of log classification.
On the basis of the above embodiments, in a kind of possible implementation, the acquisition module 41 is also used to obtain pre-
If the first log that system generates in the period；
The preprocessing module 42 is also used to pre-process first log, obtains the second log.
Fig. 5 be another embodiment of the present invention provides log sorter structural schematic diagram, the base of device shown in Fig. 4
On plinth, as shown in figure 5, log sorter 40 provided in this embodiment, further includes:
Sorting module 44, for being resequenced according to logged sequence of the predetermined order rule to second log,
Obtain third log；
Creation module 45, for constructing the log sort tree structure according to the third log.
In a kind of possible implementation, second log includes content field；
The sorting module 44, is specifically used for:
Count the frequency that various words occur in the preset period of time in the content field；
Second log is resequenced according to the frequency that the word occurs, obtains third log.
In a kind of possible implementation, the creation module 45 is specifically used for:
Initial log sort tree structure is constructed according to the third log；
Beta pruning is carried out to the initial log sort tree structure according to default branch's number, obtains the log classification tree knot
Structure.
Log sorter provided in this embodiment can execute the technical solution of above method embodiment, realize former
Reason is similar with technical effect, and details are not described herein again.
The embodiment of the present invention also provides a kind of log sorter, and shown in Figure 6, the embodiment of the present invention is only with Fig. 6
Example is illustrated, and is not offered as that present invention is limited only to this.
Fig. 6 is the hardware structural diagram for the log sorter that one embodiment of the invention provides, as shown in fig. 6, this reality
Applying the log sorter 60 that example provides includes:
Memory 61；
Processor 62；And
Computer program；
Wherein, computer program is stored in memory 61, and is configured as being executed by processor 62 to realize as aforementioned
The technical solution of any one embodiment of the method, it is similar that the realization principle and technical effect are similar, and details are not described herein again.
Optionally, memory 61 can also be integrated with processor 62 either independent.
When device except memory 61 is independently of processor 62, log sorter 60 further include:
Bus 63, for connecting memory 61 and processor 62.
The embodiment of the present invention also provides a kind of computer readable storage medium, is stored thereon with computer program, computer
Program is executed by processor 62 to realize each step performed by log sorter 60 in embodiment of the method as above.
It should be understood that above-mentioned processor can be central processing unit (English: Central Processing Unit, letter
Claim: CPU), can also be other general processors, digital signal processor (English: Digital Signal Processor,
Referred to as: DSP), specific integrated circuit (English: Application Specific Integrated Circuit, referred to as:
ASIC) etc..General processor can be microprocessor or the processor is also possible to any conventional processor etc..In conjunction with hair
The step of bright disclosed method, can be embodied directly in hardware processor and execute completion, or with hardware in processor and soft
Part block combiner executes completion.
Memory may include high speed RAM memory, it is also possible to and it further include non-volatile memories NVM, for example, at least one
Magnetic disk storage can also be USB flash disk, mobile hard disk, read-only memory, disk or CD etc..
Bus can be industry standard architecture (Industry Standard Architecture, ISA) bus, outer
Portion's apparatus interconnection (Peripheral Component, PCI) bus or extended industry-standard architecture (Extended
Industry Standard Architecture, EISA) bus etc..Bus can be divided into address bus, data/address bus, control
Bus etc..For convenient for indicating, the bus in illustrations does not limit only a bus or a type of bus.
Above-mentioned storage medium can be by any kind of volatibility or non-volatile memory device or their combination
It realizes, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable
Read-only memory (EPROM), programmable read only memory (PROM), read-only memory (ROM), magnetic memory, flash memory,
Disk or CD.Storage medium can be any usable medium that general or specialized computer can access.
A kind of illustrative storage medium is coupled to processor, believes to enable a processor to read from the storage medium
Breath, and information can be written to the storage medium.Certainly, storage medium is also possible to the component part of processor.It processor and deposits
Storage media can be located at specific integrated circuit (Application Specific Integrated Circuits, referred to as:
ASIC in).Certainly, pocessor and storage media can also be used as discrete assembly and be present in electronic equipment or main control device.
Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention., rather than its limitations；To the greatest extent
Pipe present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that: its according to
So be possible to modify the technical solutions described in the foregoing embodiments, or to some or all of the technical features into
Row equivalent replacement；And these are modified or replaceed, various embodiments of the present invention technology that it does not separate the essence of the corresponding technical solution
The range of scheme.
Claims (10)
1. a kind of log classification method characterized by comprising
Obtain the original log sequence of log to be sorted；
The original log sequence is pre-processed, the logged sequence that obtains that treated；
The logged sequence is compared with preset log sort tree structure, obtains the classification knot of the log to be sorted
Fruit.
2. the method according to claim 1, wherein the creation process of the log sort tree structure, comprising:
Obtain the first log that system generates in preset period of time；
First log is pre-processed, the second log is obtained；
It is resequenced according to logged sequence of the predetermined order rule to second log, obtains third log；
The log sort tree structure is constructed according to the third log.
3. according to the method described in claim 2, it is characterized in that, second log includes content field；The basis is pre-
If ordering rule resequences to the logged sequence of second log, third log is obtained, comprising:
Count the frequency that various words occur in the preset period of time in the content field；
Second log is resequenced according to the frequency that the word occurs, obtains third log.
4. according to the method described in claim 2, it is characterized in that, described construct the log classification according to the third log
Tree construction, comprising:
Initial log sort tree structure is constructed according to the third log；
Beta pruning is carried out to the initial log sort tree structure according to default branch's number, obtains the log sort tree structure.
5. a kind of log sorter characterized by comprising
Module is obtained, for obtaining the original log sequence of log to be sorted；
Preprocessing module, for being pre-processed to the original log sequence, the logged sequence that obtains that treated；
Categorization module obtains described to be sorted for the logged sequence to be compared with preset log sort tree structure
The classification results of log.
6. device according to claim 5, which is characterized in that
The acquisition module is also used to obtain the first log that system generates in preset period of time；
The preprocessing module is also used to pre-process first log, obtains the second log；
Described device further include: sorting module, for being carried out according to logged sequence of the predetermined order rule to second log
Rearrangement, obtains third log；
Creation module, for constructing the log sort tree structure according to the third log.
7. device according to claim 6, which is characterized in that second log includes content field；The sequence mould
Block is specifically used for:
Count the frequency that various words occur in the preset period of time in the content field；
Second log is resequenced according to the frequency that the word occurs, obtains third log.
8. device according to claim 6, which is characterized in that the creation module is specifically used for:
Initial log sort tree structure is constructed according to the third log；
Beta pruning is carried out to the initial log sort tree structure according to default branch's number, obtains the log sort tree structure.
9. a kind of log sorter characterized by comprising
Memory；
Processor；And
Computer program；
Wherein, the computer program stores in the memory, and is configured as being executed by the processor to realize such as
The described in any item methods of claim 1-4.
10. a kind of computer readable storage medium, which is characterized in that be stored thereon with computer program, the computer program
It is executed by processor to realize method according to any of claims 1-4.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112115030A (en) * | 2020-09-28 | 2020-12-22 | 曙光信息产业(北京)有限公司 | Node determination method and device, electronic equipment and storage medium |
| CN112445912A (en) * | 2020-11-06 | 2021-03-05 | 苏州浪潮智能科技有限公司 | Fault log classification method, system, device and medium |
| CN113934701A (en) * | 2021-10-12 | 2022-01-14 | 网易（杭州）网络有限公司 | Log processing method, device, server and storage medium |
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