CN109284251A - Blog management method, device, computer equipment and storage medium - Google Patents
Blog management method, device, computer equipment and storage medium Download PDFInfo
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- CN109284251A CN109284251A CN201810924837.3A CN201810924837A CN109284251A CN 109284251 A CN109284251 A CN 109284251A CN 201810924837 A CN201810924837 A CN 201810924837A CN 109284251 A CN109284251 A CN 109284251A
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Abstract
The embodiment of the invention discloses a kind of blog management method, device, computer equipment and storage mediums, wherein the described method includes: the log information that the system of acquisition generates, and the log information is output in kafka message queue；The log information in kafka message queue is stored to preset data storage platform according to default middleware；If detecting system exception occur, the corresponding abnormal mark of system exception and Exception Type are obtained；Corresponding log information is obtained from the preset data storage platform according to the abnormal mark and Exception Type, and acquired log information is determined as abnormal log information；Based on preset pattern analysis tool, processing is patterned to acquired abnormal log information, and the abnormal log information of graphical treatment is generated into graphical report and is shown.The embodiment of the present invention can be collected and show to log, can be applied to cloud computing, do not need O&M engineer and obtain log by hand.
Description
Technical field
The present invention relates to field of computer technology more particularly to a kind of blog management method, device, computer equipment and
Storage medium.
Background technique
When computer system breaks down, generally require to analyze the reason of leading to failure by journal file, therefore,
It is to solve the problems, such as the important means of the system failure by the analysis to journal file.
In the prior art, it in order to obtain journal file, is usually protected immediately by hand to when breaking down by O&M engineer
It deposits cash a journal file, the journal file saved immediately is recycled to remove analyzing failure cause, such mode for obtaining journal file,
When checking journal file the content of single filter condition query log files can only be arranged, for example, every time in O&M engineer
A keyword can only be arranged to be inquired, for a failure problems generally require repeatedly and be arranged different keywords into
Row inquiry, process are very time-consuming and inefficient.
With the continuous innovation of technology and being increasing for computer system failure problems, journal file is obtained by hand
And single query log files content is no longer satisfied business demand and development instantly in a manner of solving failure problems.
Summary of the invention
It is situated between in view of this, the embodiment of the present invention provides a kind of blog management method, device, computer equipment and storage
Matter can be collected and show to log, do not need O&M engineer and obtain log by hand.
On the one hand, the embodiment of the invention provides a kind of blog management methods, this method comprises:
The log information that acquisition system generates, and the log information is output in kafka message queue；
The log information in kafka message queue is stored to preset data storage platform according to default middleware；
If detecting system exception occur, the corresponding abnormal mark of system exception and Exception Type are obtained；
Corresponding log letter is obtained from the preset data storage platform according to the abnormal mark and Exception Type
Breath, and acquired log information is determined as abnormal log information；
Based on preset pattern analysis tool, processing is patterned to acquired abnormal log information, and will scheme
The abnormal log information of shapeization processing generates graphical report and is shown.
On the other hand, the embodiment of the invention provides a kind of log management apparatus, described device includes:
The log information for obtaining the log information of system generation, and is output to kafka and disappeared by first acquisition unit
It ceases in queue；
Storage unit, for being stored the log information in kafka message queue to preset data according to default middleware
Storage platform；
Second acquisition unit, if for detecting system exception occur, obtain the corresponding abnormal mark of system exception and
Exception Type；
Third acquiring unit is used for according to the abnormal mark and Exception Type from the preset data storage platform
Corresponding log information is obtained, and acquired log information is determined as abnormal log information；
Display unit is patterned acquired abnormal log information for being based on preset pattern analysis tool
Processing, and the abnormal log information of graphical treatment is generated into graphical report and is shown.
Another aspect the embodiment of the invention also provides a kind of computer equipment, including memory, processor and is stored in
On the memory and the computer program that can run on the processor, when the processor executes the computer program
Realize blog management method as described above.
It is described computer-readable to deposit in another aspect, the embodiment of the invention also provides a kind of computer readable storage medium
Storage media be stored with one perhaps more than one program the one or more programs can by one or more than one
Processor execute, to realize blog management method as described above.
The embodiment of the present invention provides a kind of blog management method, device, computer equipment and storage medium, wherein method
Include: the log information that acquisition system generates, and the log information is output in kafka message queue；In default
Between part the log information in kafka message queue is stored to preset data storage platform；There is system exception if detecting, obtains
Take the corresponding abnormal mark of system exception and Exception Type；According to the abnormal mark and Exception Type from the present count
According to obtaining corresponding log information in storage platform, and acquired log information is determined as abnormal log information；Based on pre-
If graphical analysis tool, processing is patterned to acquired abnormal log information, and by the exception of graphical treatment
Log information generates graphical report and is shown.The embodiment of the present invention can be collected and show to log, not need
O&M engineer obtains log by hand.
Detailed description of the invention
Technical solution in order to illustrate the embodiments of the present invention more clearly, below will be to needed in embodiment description
Attached drawing is briefly described, it should be apparent that, drawings in the following description are some embodiments of the invention, general for this field
For logical technical staff, without creative efforts, it is also possible to obtain other drawings based on these drawings.
Fig. 1 is a kind of schematic flow diagram of blog management method provided in an embodiment of the present invention；
Fig. 2 is a kind of schematic illustration of blog management method provided in an embodiment of the present invention；
Fig. 3 is a kind of schematic flow diagram of blog management method provided in an embodiment of the present invention；
Fig. 4 is a kind of schematic flow diagram of blog management method provided in an embodiment of the present invention；
Fig. 5 be another embodiment of the present invention provides a kind of blog management method schematic flow diagram；
Fig. 6 is a kind of schematic block diagram of log management apparatus provided in an embodiment of the present invention；
Fig. 7 is a kind of another schematic block diagram of log management apparatus provided in an embodiment of the present invention；
Fig. 8 is a kind of another schematic block diagram of log management apparatus provided in an embodiment of the present invention；
Fig. 9 is a kind of another schematic block diagram of log management apparatus provided in an embodiment of the present invention；
Figure 10 is a kind of structure composition schematic diagram of computer equipment provided in an embodiment of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are some of the embodiments of the present invention, instead of all the embodiments.Based on this hair
Embodiment in bright, every other implementation obtained by those of ordinary skill in the art without making creative efforts
Example, shall fall within the protection scope of the present invention.
It should be appreciated that ought use in this specification and in the appended claims, term " includes " and "comprising" instruction
Described feature, entirety, step, operation, the presence of element and/or component, but one or more of the other feature, whole is not precluded
Body, step, operation, the presence or addition of element, component and/or its set.
It is also understood that mesh of the term used in this description of the invention merely for the sake of description specific embodiment
And be not intended to limit the present invention.As description of the invention and it is used in the attached claims, unless on
Other situations are hereafter clearly indicated, otherwise " one " of singular, "one" and "the" are intended to include plural form.
Referring to Fig. 1, Fig. 1 is a kind of schematic flow diagram of blog management method provided in an embodiment of the present invention.This method
It may operate in smart phone (such as Android phone, IOS mobile phone), tablet computer, laptop and smart machine etc.
In terminal.Fig. 1 is the schematic flow diagram of blog management method provided in an embodiment of the present invention.As shown in Figure 1, this method includes step
Rapid S101~S105.
S101 obtains the log information that system generates, and the log information is output in kafka message queue.
In embodiments of the present invention, the log information of system is the letter of hardware, software and system problem in record system
Breath obtains the log information that system generates, and exports into kafka message queue, for example, can pass through log output precision pair
The log information generated in system is collected, and then collected log information is directly output in kafka message queue；
Wherein, log output precision includes log4j2 component, and kafka message queue is the queue formed by topic message, a topic
Message may include multiple and different storage catalogues, and kafka message queue is stored by storage catalogue by log output precision institute
The log information of collection.
Specifically, the log information of the acquisition is output in kafka message queue, i.e., by acquired log information
Output is into the storage catalogue of kafka message queue；It should be noted that the mode that the storage catalogue carries out log storage is more
A different storage catalogue, which can be averaged, is assigned to multiple equal-sized daily record datas, i.e., daily record data is equal in magnitude, but
The quantity of daily record data is not necessarily equal, and the quantity of daily record data can be identical, can not also be identical.Kafka message queue can
Using the intermediate storage as log information in transmission process, it can be ensured that the high efficiency of log information and safety it is lasting
Change, and meets the intermediate storage of large capacity.
S102 stores the log information in kafka message queue to preset data storage platform according to default middleware.
In embodiments of the present invention, the preset data storage platform refers to the Cloud Server of big data storage, cloud number
According to library, for example, (International Business Machine is public by Ali's cloud platform, AWS (Amazon, Amazon Web Service) cloud platform and IBM
Department, International Business Machines Corporation) cloud platform etc..What the default middleware referred to
It is that log information collects engine, such as logstash middleware, which can unify to filter collected log letter
Breath, and export log information to specified destination according to the specification pre-established, so that the readable high, side of log information
Just O&M engineer observes log information.Wherein, as shown in Fig. 2, the default middleware 10 includes input module
10a, output precision 10b and filter assemblies 10c, in the present embodiment, the default middleware 10 pass through input module 10a
Log information is obtained from kafka message queue 20, by filter assemblies 10c by acquired log information according to specified
Data format is modified, and the log information modified is written to designated destination H by output precision 10c, this is specified
Destination H can be by user's self-setting, this is not restricted.
Further, the default middleware includes logstash middleware, and the logstash middleware is by input group
Part, filter assemblies and output precision composition, as shown in figure 3, the step S102 includes step S202~S206.
S202 obtains the log information according to the input module of logstash middleware from kafka message queue.
In particular it is required that configuring to the content of the input module, the following institute of format of input module content is configured
Show: input { ... } can configure multiple information sources, for example, input in the present embodiment in input module input { }
{ file 1 { 1 address of log } file 2 { 2 address of log } ... file n { address log n } }, can also be in input module
A specific information source is configured in input { }, for example, input { file { log address } }, to realize from multiple information sources
Or log information is obtained in specific information source.
S204 is filtered acquired log information according to the filter assemblies of logstash middleware.
In particular it is required that configuring to the content of the filter assemblies, the format of the configurating filtered device component content is such as
Shown in lower: filter { ... } can configure multiple filter plug-ins in the present embodiment in filter assemblies filter { },
A filter plug-in can also be configured in filter assemblies, use grok plug-in unit to input module in the embodiment of the present invention
Log information acquired in input { } is filtered, so that log information structuring, and increase the readability of log.For example,
Filter { grok plug-in unit }.
Filtered log information is stored to preset data according to the output precision of logstash middleware and is stored by S206
Platform.
In particular it is required that configuring to the content of the output precision, the following institute of format of output precision content is configured
Show: output { ... } can configure multiple information sources in the present embodiment in input module output { }, for example,
Output { { destination address 1 } { destination address 2 } ... { destination address n } }, can also the configuration one in output precision output { }
A specific destination address can configure output group for example, the present embodiment exports log information into elasticsearch
The content of part is output { elasticsearch { } }, will be saved by the log information that output precision output { } is exported
Into elasticsearch, the index name of log information is the format of index parameter setting.
S103 obtains the corresponding abnormal mark of system exception and Exception Type if detecting system exception occur.
In embodiments of the present invention, system exception is the various exceptions for influencing system function in system operation and using
Situation, system exception such as system host is rolled up, CPU usage is excessively high etc., it should be noted that system host is rolled up finger
It is that hard-disc storage insufficient space, disk have been expired；It is high that the excessively high program for referring to operation of CPU usage occupies cpu resource ratio.Greatly
In most cases, system exception will lead to system host and cannot run well, and cause the application program in system cannot be just
Often operation.
Specifically, in the present embodiment, the system exception includes that system host is rolled up and CPU usage is excessively high, if
The system exception is rolled up for system host, if described detect system exception occur, obtains the corresponding abnormal mark of system exception
Knowledge and Exception Type, comprising: the threshold value of system host memory space is set in pre-set monitoring system, if setting in advance
The memory space that the monitoring system set monitors current system host is more than set threshold value, then judges in current system host
In there is system host and be rolled up, and obtain the corresponding abnormal mark of the system exception and Exception Type.If the system exception
It is excessively high for CPU usage, if described detect system exception occur, obtain the corresponding abnormal mark of system exception and exception class
Type, comprising: the threshold value of CPU usage is set in pre-set monitoring system, if pre-set monitoring system monitors
The CPU usage of current system host is more than set threshold value, then judges that CPU usage is excessively high in current system host,
And obtain the corresponding abnormal mark of the system exception and Exception Type.Wherein, in the present embodiment, in pre-set monitoring
Set threshold value can be not limited thereto by user's self-setting in system.
More specifically, each system exception corresponds to an associated abnormality code, correspondingly the exception is identified as
The corresponding abnormality code of system exception, the Exception Type be occur abnormal system hardware class (hardware class, such as
CPU, memory and host etc.)；Wherein, the reference listing of system exception and abnormality code is provided in system, such as 1 institute of table
Show:
Table 1
| System exception | Exception level | Abnormality code |
| System host is rolled up | A | 1001 |
| CPU usage is high | A | 1002 |
| ... | ... | ... |
| Memory overflows | C | 1196 |
The corresponding abnormality code of each system exception is listed in table 1, and shows exception level, under normal circumstances,
When system emerged in operation exception, it can show that current exception information, exception information include at least abnormal in current display interface
Type and abnormality code.
S104 obtains corresponding day from the preset data storage platform according to the abnormal mark and Exception Type
Will information, and acquired log information is determined as abnormal log information.
In embodiments of the present invention, correspondence is searched from preset data storage platform by abnormal mark and Exception Type
Log information, in preset data storage platform, as long as log information relevant to abnormal mark or Exception Type quilt
It finds, using the log information found as abnormal log information；When the abnormal log information includes detailed description, is abnormal
Between, frequency of abnormity and abnormal corresponding thread information etc..For example, being rolled up for system host, the use of system host is obtained
Situation, host are rolled up corresponding thread, host is rolled up the time of generation, host is rolled up number of generation etc., and CPU is used
Rate is excessively high, obtain the service condition of CPU, the corresponding thread of CPU, CPU usage it is excessively high when occur time, CPU usage mistake
Number occurred when high etc..
S105 is based on preset pattern analysis tool, is patterned processing to acquired abnormal log information, and will
The abnormal log information of graphical treatment generates graphical report and is shown.
In embodiments of the present invention, using preset pattern analysis tool, acquired abnormal log information is subjected to figure
Shapeization processing, i.e., by acquired abnormal log information according to certain dimension (such as time dimension or resource ratio dimension)
Some graphical reports (such as curve graph, histogram, cake chart etc.) are produced to be shown.
Further, as shown in figure 4, the step S105 includes step S302~S306.
S302 extracts the abnormal log information to be processed, and by the abnormal log information to be processed with table knot
The form of structure is stored.
Specifically, writing sql sentence by database extracts the abnormal log information to be processed, and with table structure
Form storage.The column name of the table structure should be consistent with the report finally to be shown as far as possible, without secondary when showing
Processing or few secondary operation, so that it may guarantee the efficiency of graphical report form showing.
The abnormal log information to be processed stored is packaged into the data of XML format by S304.
Specifically, since FusionCharts plug-in unit only connects the data of XML format, so using preceding needing first to seal data
Dress up the data of XML format.The data query that graphical report to be showed is come out by writing SQL statement, is then encapsulated
At the data of XML format.
S306 is arranged graphical report style in default JSP page, and calls FusionCharts plug-in unit by XML lattice
The data of formula carry out parsing and are generated as report, and show report generated in default JSP page.
Specifically, the major function of FusionCharts plug-in unit is that the log information that will need to show is encapsulated into XML file
In, then according to the figure presentation parameter of selection, data are intuitively graphically reflected with cake chart, histogram, curve graph etc.
Situation of change, distribution situation.
More specifically, FusionCharts plug-in unit does not support customized graphical report style, it is therefore desirable at JSP pages
Graphical report style is arranged in face, and settable graphical report style includes histogram, district figure, 3D/2D pie chart, 3D/2D
Ring figure, administrative division map, stack diagram, joint figure, candlestick chart, crater blasting and Gantt chart etc..
As seen from the above, the log information that the embodiment of the present invention is generated by acquisition system, and the log information is defeated
Out into kafka message queue；The log information in kafka message queue is stored to preset data according to default middleware and is deposited
Store up platform；If detecting system exception occur, the corresponding abnormal mark of system exception and Exception Type are obtained；According to described different
Often mark and Exception Type obtain corresponding log information from the preset data storage platform, and by acquired log
Information is determined as abnormal log information；Based on preset pattern analysis tool, figure is carried out to acquired abnormal log information
Change processing, and the abnormal log information of graphical treatment is generated into graphical report and is shown.The embodiment of the present invention can
Log can be collected and be shown, do not needed O&M engineer and obtain log by hand.
Referring to Fig. 5, Fig. 5 be another embodiment of the present invention provides a kind of blog management method schematic flow diagram.It should
Method may operate in smart phone (such as Android phone, IOS mobile phone), tablet computer, laptop and intelligence and set
In the terminals such as standby.Fig. 5 is the schematic flow diagram of blog management method provided in an embodiment of the present invention.As shown in figure 5, this method packet
Include step S401~S406.
S401 obtains the log information that system generates, and the log information is output in kafka message queue.
In embodiments of the present invention, the log information of system is the letter of hardware, software and system problem in record system
Breath obtains the log information that system generates, and exports into kafka message queue, for example, can pass through log output precision pair
The log information generated in system is collected, and then collected log information is directly output in kafka message queue；
Wherein, log output precision includes log4j2 component, and kafka message queue is the queue formed by topic message, a topic
Message may include multiple and different storage catalogues, and kafka message queue is stored by storage catalogue by log output precision institute
The log information of collection.
S402 stores the log information in kafka message queue to preset data storage platform according to default middleware.
In embodiments of the present invention, the preset data storage platform refers to the Cloud Server of big data storage, cloud number
According to library, for example, (International Business Machine is public by Ali's cloud platform, AWS (Amazon, Amazon Web Service) cloud platform and IBM
Department, International Business Machines Corporation) cloud platform etc..What the default middleware referred to
It is that log information collects engine, such as logstash middleware, which can unify to filter collected log letter
Breath, and export log information to specified destination according to the specification pre-established, so that the readable high, side of log information
Just O&M engineer observes log information.
S403 obtains the corresponding abnormal mark of system exception and Exception Type if detecting system exception occur.
In embodiments of the present invention, system exception is the various exceptions for influencing system function in system operation and using
Situation, system exception such as system host is rolled up, CPU usage is excessively high etc., it should be noted that system host is rolled up finger
It is that hard-disc storage insufficient space, disk have been expired；It is high that the excessively high program for referring to operation of CPU usage occupies cpu resource ratio.Greatly
In most cases, system exception will lead to system host and cannot run well, and cause the application program in system cannot be just
Often operation.
S404 creates the temporary buffer for caching acquired log information.
In embodiments of the present invention, the temporary buffer can cache different log informations, for example, root can be cached
According to the log information obtained from preset data storage platform is identified extremely, can also cache according to Exception Type from default storage
The log information obtained in platform, it is corresponding to be specifically as follows log cache information for the form of log cache information in temporary buffer
Data block address and the corresponding cache-time of log cache information etc., the specific form that caches is in the embodiment of the present invention
In without limitation.Different log informations can be carried out concentration preservation by the temporary buffer by creating log cache information,
When system needs to obtain the log information of temporary buffer, may be implemented uniformly to export, improve system task executes effect
Rate.
S405 obtains corresponding day from the preset data storage platform according to the abnormal mark and Exception Type
Will information, and acquired log information is determined as abnormal log information.
In embodiments of the present invention, correspondence is searched from preset data storage platform by abnormal mark and Exception Type
Log information, in preset data storage platform, as long as log information relevant to abnormal mark or Exception Type quilt
It finds, using the log information found as abnormal log information；When the abnormal log information includes detailed description, is abnormal
Between, frequency of abnormity and abnormal corresponding thread information etc..For example, being rolled up for system host, the use of system host is obtained
Situation, host are rolled up corresponding thread, host is rolled up the time of generation, host is rolled up number of generation etc., and CPU is used
Rate is excessively high, obtain the service condition of CPU, the corresponding thread of CPU, CPU usage it is excessively high when occur time, CPU usage mistake
Number occurred when high etc..
S406 is based on preset pattern analysis tool, is patterned processing to acquired abnormal log information, and will
The abnormal log information of graphical treatment generates graphical report and is shown.
In embodiments of the present invention, using preset pattern analysis tool, acquired abnormal log information is subjected to figure
Shapeization processing, i.e., by acquired abnormal log information according to certain dimension (such as time dimension or resource ratio dimension)
Some graphical reports (such as curve graph, histogram, cake chart etc.) are produced to be shown.
Referring to Fig. 6, a kind of corresponding above-mentioned blog management method, the embodiment of the present invention also proposes a kind of log management dress
Set, the device 100 include: first acquisition unit 101, storage unit 102, second acquisition unit 103, third acquiring unit 104,
Display unit 105.
Wherein, the first acquisition unit 101, for obtaining the log information of system generation, and by the log information
It is output in kafka message queue.
Storage unit 102, for being stored the log information in kafka message queue to present count according to default middleware
According to storage platform.
Second acquisition unit 103, if for detecting system exception occur, obtain the corresponding abnormal mark of system exception with
And Exception Type.
Third acquiring unit 104, it is flat for being stored according to the abnormal mark and Exception Type from the preset data
Corresponding log information is obtained in platform, and acquired log information is determined as abnormal log information.
Display unit 105 carries out figure to acquired abnormal log information for being based on preset pattern analysis tool
Change processing, and the abnormal log information of graphical treatment is generated into graphical report and is shown.
As seen from the above, the log information that the embodiment of the present invention is generated by acquisition system, and the log information is defeated
Out into kafka message queue；The log information in kafka message queue is stored to preset data according to default middleware and is deposited
Store up platform；If detecting system exception occur, the corresponding abnormal mark of system exception and Exception Type are obtained；According to described different
Often mark and Exception Type obtain corresponding log information from the preset data storage platform, and by acquired log
Information is determined as abnormal log information；Based on preset pattern analysis tool, figure is carried out to acquired abnormal log information
Change processing, and the abnormal log information of graphical treatment is generated into graphical report and is shown.The embodiment of the present invention can
Log can be collected and be shown, do not needed O&M engineer and obtain log by hand.
As shown in fig. 7, the default middleware includes logstash middleware, the logstash middleware is by input group
Part, filter assemblies and output precision composition, the storage unit 102, comprising:
4th acquiring unit 102a, for being obtained from kafka message queue according to the input module of logstash middleware
Take the log information.
Filter element 102b, for being carried out according to the filter assemblies of logstash middleware to acquired log information
Filtering.
Storing sub-units 102c, for being stored filtered log information according to the output precision of logstash middleware
To preset data storage platform.
As shown in figure 8, the display unit 105, comprising:
Extraction unit 105a, for extracting the abnormal log information to be processed, and by the abnormal day to be processed
Will information is stored in the form of table structure.
Encapsulation unit 105b, for the abnormal log information to be processed stored to be packaged into the number of XML format
According to.
It shows subelement 105c, for graphical report style to be arranged in default JSP page, and calls
The data of XML format are carried out parsing and are generated as report by FusionCharts plug-in unit, and are shown and generated in default JSP page
Report.
Referring to Fig. 9, a kind of corresponding above-mentioned blog management method, the embodiment of the present invention also proposes a kind of log management dress
It sets, which includes: first acquisition unit 201, storage unit 202, second acquisition unit 203, creating unit 204, third
Acquiring unit 205, display unit 206.
Wherein, the first acquisition unit 201, for obtaining the log information of system generation, and by the log information
It is output in kafka message queue.
Storage unit 202, for being stored the log information in kafka message queue to present count according to default middleware
According to storage platform.
Second acquisition unit 203, if for detecting system exception occur, obtain the corresponding abnormal mark of system exception with
And Exception Type.
Creating unit 204, for creating the temporary buffer for caching acquired log information.
Third acquiring unit 205, it is flat for being stored according to the abnormal mark and Exception Type from the preset data
Corresponding log information is obtained in platform, and acquired log information is determined as abnormal log information.
Display unit 206 carries out figure to acquired abnormal log information for being based on preset pattern analysis tool
Change processing, and the abnormal log information of graphical treatment is generated into graphical report and is shown.
Above-mentioned log management apparatus and above-mentioned data processing method one-to-one correspondence, specific principle and process and above-mentioned reality
It is identical to apply the method, repeats no more.
Above-mentioned log management apparatus can be implemented as a kind of form of computer program, and computer program can be in such as Figure 10
Shown in run in computer equipment.
Figure 10 is a kind of structure composition schematic diagram of computer equipment of the present invention.The equipment can be terminal, be also possible to
Server, wherein terminal can be smart phone, tablet computer, laptop, desktop computer, personal digital assistant and wear
Wear the electronic device that formula device etc. has communication function.Server can be independent server, be also possible to multiple servers
The server cluster of composition.Referring to Fig.1 0, the computer equipment 500 include the processor 502 connected by system bus 501,
Non-volatile memory medium 503, built-in storage 504 and network interface 505.Wherein, the non-volatile of the computer equipment 500 is deposited
Storage media 503 can storage program area 5031 and computer program 5032, which is performed, and may make place
Reason device 502 executes a kind of blog management method.The processor 502 of the computer equipment 500 is calculated for offer and control ability,
Support the operation of entire computer equipment 500.The built-in storage 504 is the computer program in non-volatile memory medium 503
5032 operation provides environment, when which is executed by processor, processor 502 may make to execute a kind of log management
Method.The network interface 505 of computer equipment 500 such as sends the task dispatching of distribution for carrying out network communication.Art technology
Personnel are appreciated that structure shown in Figure 10, and only the block diagram of part-structure relevant to application scheme, is not constituted
Restriction to the computer equipment that application scheme is applied thereon, specific computer equipment may include than as shown in the figure
More or fewer components perhaps combine certain components or with different component layouts.
Wherein, following operation is realized when the processor 502 executes the computer program:
The log information that acquisition system generates, and the log information is output in kafka message queue；
The log information in kafka message queue is stored to preset data storage platform according to default middleware；
If detecting system exception occur, the corresponding abnormal mark of system exception and Exception Type are obtained；
Corresponding log letter is obtained from the preset data storage platform according to the abnormal mark and Exception Type
Breath, and acquired log information is determined as abnormal log information；
Based on preset pattern analysis tool, processing is patterned to acquired abnormal log information, and will scheme
The abnormal log information of shapeization processing generates graphical report and is shown.
In one embodiment, the default middleware includes logstash middleware, the logstash middleware by
Input module, filter assemblies and output precision composition, the basis preset middleware for the log in kafka message queue
Information is stored to preset data storage platform, comprising:
The log information is obtained from kafka message queue according to the input module of logstash middleware；
Acquired log information is filtered according to the filter assemblies of logstash middleware；
Filtered log information is stored to preset data storage platform according to the output precision of logstash middleware.
In one embodiment, described to be based on preset pattern analysis tool, acquired abnormal log information is carried out
Graphical treatment, and the abnormal log information of graphical treatment is generated into graphical report and is shown, comprising:
The abnormal log information to be processed is extracted, and by the abnormal log information to be processed with the shape of table structure
Formula is stored；
The abnormal log information to be processed stored is packaged into the data of XML format；
Graphical report style is set in default JSP page, and calls FusionCharts plug-in unit by the number of XML format
It is generated as report according to parsing is carried out, and shows report generated in default JSP page.
In one embodiment, it is described according to the abnormal mark and Exception Type from the preset data storage platform
It is middle to obtain corresponding log information, and before the step of acquired log information is determined as abnormal log information, further includes:
Create the temporary buffer for caching acquired log information.
In one embodiment, the system exception includes that system host is rolled up and CPU usage is excessively high；If the system
System is abnormal to be rolled up for system host, if described detect system exception occur, obtain the corresponding abnormal mark of system exception and
Exception Type, comprising:
The threshold value of system host memory space is set in pre-set monitoring system, if pre-set monitoring system
The memory space for monitoring current system host is more than set threshold value, then judges occur system master in current system host
Machine is rolled up, and obtains the corresponding abnormal mark of the system exception and Exception Type；
If the system exception is that CPU usage is excessively high, if described detect system exception occur, system exception pair is obtained
The abnormal mark and Exception Type answered, comprising:
The threshold value of CPU usage is set in pre-set monitoring system, if pre-set monitoring system monitors
The CPU usage of current system host is more than set threshold value, then judges that CPU usage is high in current system host, and
Obtain the corresponding abnormal mark of the system exception and Exception Type.
It will be understood by those skilled in the art that the embodiment of computer equipment shown in Figure 10 is not constituted to computer
The restriction of equipment specific composition, in other embodiments, computer equipment may include components more more or fewer than diagram, or
Person combines certain components or different component layouts.For example, in some embodiments, computer equipment only includes memory
And processor, in such embodiments, the structure and function of memory and processor are consistent with embodiment illustrated in fig. 10, herein
It repeats no more.
The present invention provides a kind of computer readable storage medium, computer-readable recording medium storage has one or one
A above computer program, the one or more computer program can be held by one or more than one processor
Row, to perform the steps of
The log information that acquisition system generates, and the log information is output in kafka message queue；
The log information in kafka message queue is stored to preset data storage platform according to default middleware；
If detecting system exception occur, the corresponding abnormal mark of system exception and Exception Type are obtained；
Corresponding log letter is obtained from the preset data storage platform according to the abnormal mark and Exception Type
Breath, and acquired log information is determined as abnormal log information；
Based on preset pattern analysis tool, processing is patterned to acquired abnormal log information, and will scheme
The abnormal log information of shapeization processing generates graphical report and is shown.
In one embodiment, the default middleware includes logstash middleware, the logstash middleware by
Input module, filter assemblies and output precision composition, the basis preset middleware for the log in kafka message queue
Information is stored to preset data storage platform, comprising:
The log information is obtained from kafka message queue according to the input module of logstash middleware；
Acquired log information is filtered according to the filter assemblies of logstash middleware；
Filtered log information is stored to preset data storage platform according to the output precision of logstash middleware.
In one embodiment, described to be based on preset pattern analysis tool, acquired abnormal log information is carried out
Graphical treatment, and the abnormal log information of graphical treatment is generated into graphical report and is shown, comprising:
The abnormal log information to be processed is extracted, and by the abnormal log information to be processed with the shape of table structure
Formula is stored；
The abnormal log information to be processed stored is packaged into the data of XML format；
Graphical report style is set in default JSP page, and calls FusionCharts plug-in unit by the number of XML format
It is generated as report according to parsing is carried out, and shows report generated in default JSP page.
In one embodiment, it is described according to the abnormal mark and Exception Type from the preset data storage platform
It is middle to obtain corresponding log information, and before the step of acquired log information is determined as abnormal log information, further includes:
Create the temporary buffer for caching acquired log information.
In one embodiment, the system exception includes that system host is rolled up and CPU usage is excessively high；If the system
System is abnormal to be rolled up for system host, if described detect system exception occur, obtain the corresponding abnormal mark of system exception and
Exception Type, comprising:
The threshold value of system host memory space is set in pre-set monitoring system, if pre-set monitoring system
The memory space for monitoring current system host is more than set threshold value, then judges occur system master in current system host
Machine is rolled up, and obtains the corresponding abnormal mark of the system exception and Exception Type；
If the system exception is that CPU usage is excessively high, if described detect system exception occur, system exception pair is obtained
The abnormal mark and Exception Type answered, comprising:
The threshold value of CPU usage is set in pre-set monitoring system, if pre-set monitoring system monitors
The CPU usage of current system host is more than set threshold value, then judges that CPU usage is excessively high in current system host,
And obtain the corresponding abnormal mark of the system exception and Exception Type.
Present invention storage medium above-mentioned include: magnetic disk, CD, read-only memory (Read-Only Memory,
The various media that can store program code such as ROM).
Unit in all embodiments of the invention can pass through universal integrated circuit, such as CPU (Central
Processing Unit, central processing unit), or pass through ASIC (Application Specific Integrated
Circuit, specific integrated circuit) it realizes.
Step in blog management method of the embodiment of the present invention can according to actual needs the adjustment of carry out sequence, merge and delete
Subtract.
Unit in log management apparatus of the embodiment of the present invention can be combined, divided and deleted according to actual needs.
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any
Those familiar with the art in the technical scope disclosed by the present invention, can readily occur in various equivalent modifications or replace
It changes, these modifications or substitutions should be covered by the protection scope of the present invention.Therefore, protection scope of the present invention should be with right
It is required that protection scope subject to.
Claims (10)
1. a kind of blog management method, which is characterized in that the described method includes:
The log information that acquisition system generates, and the log information is output in kafka message queue；
The log information in kafka message queue is stored to preset data storage platform according to default middleware；
If detecting system exception occur, the corresponding abnormal mark of system exception and Exception Type are obtained；
Corresponding log information is obtained from the preset data storage platform according to the abnormal mark and Exception Type, and
Acquired log information is determined as abnormal log information；
Based on preset pattern analysis tool, processing is patterned to acquired abnormal log information, and will graphically
The abnormal log information of processing generates graphical report and is shown.
2. the method as described in claim 1, which is characterized in that the default middleware includes logstash middleware, described
Logstash middleware is made of input module, filter assemblies and output precision, and the basis presets middleware for kafka
Log information in message queue is stored to preset data storage platform, comprising:
The log information is obtained from kafka message queue according to the input module of logstash middleware；
Acquired log information is filtered according to the filter assemblies of logstash middleware；
Filtered log information is stored to preset data storage platform according to the output precision of logstash middleware.
3. the method as described in claim 1, which is characterized in that it is described to be based on preset pattern analysis tool, to acquired
Abnormal log information is patterned processing, and the abnormal log information of graphical treatment is generated graphical report and is opened up
Show, comprising:
Extract the abnormal log information to be processed, and by the abnormal log information to be processed in the form of table structure into
Row storage；
The abnormal log information to be processed stored is packaged into the data of XML format；
Graphical report style is set in default JSP page, and call FusionCharts plug-in unit by the data of XML format into
Row parsing is generated as report, and shows report generated in default JSP page.
4. the method as described in claim 1, which is characterized in that it is described according to the abnormal mark and Exception Type from described
Corresponding log information is obtained in preset data storage platform, and acquired log information is determined as abnormal log information
Before step, further includes:
Create the temporary buffer for caching acquired log information.
5. the method as described in claim 1, which is characterized in that the system exception includes that system host is rolled up and CPU makes
It is excessively high with rate；If the system exception is rolled up for system host, if described detect system exception occur, system exception pair is obtained
The abnormal mark and Exception Type answered, comprising:
The threshold value of system host memory space is set in pre-set monitoring system, if pre-set monitoring system monitors
Memory space to current system host is more than set threshold value, then judges occur system host volume in current system host
It is full, and obtain the corresponding abnormal mark of the system exception and Exception Type；
If the system exception is that CPU usage is excessively high, if described detect system exception occur, it is corresponding to obtain system exception
Abnormal mark and Exception Type, comprising:
The threshold value of CPU usage is set in pre-set monitoring system, if pre-set monitoring system monitors currently
The CPU usage of system host is more than set threshold value, then judges that CPU usage is excessively high in current system host, and obtain
Take the corresponding abnormal mark of the system exception and Exception Type.
6. a kind of log management apparatus, which is characterized in that described device includes:
The log information for obtaining the log information of system generation, and is output to kafka message team by first acquisition unit
In column；
Storage unit is stored for being stored the log information in kafka message queue to preset data according to default middleware
Platform；
Second acquisition unit, if obtaining the corresponding abnormal mark of system exception and exception for detecting system exception occur
Type；
Third acquiring unit, for being obtained from the preset data storage platform according to the abnormal mark and Exception Type
Corresponding log information, and acquired log information is determined as abnormal log information；
Display unit, for being patterned processing to acquired abnormal log information based on preset pattern analysis tool,
And the abnormal log information of graphical treatment is generated into graphical report and is shown.
7. device as claimed in claim 6, which is characterized in that the default middleware includes logstash middleware, described
Logstash middleware is made of input module, filter assemblies and output precision, the storage unit, comprising:
4th acquiring unit, for obtaining the day from kafka message queue according to the input module of logstash middleware
Will information；
Filter element, for being filtered according to the filter assemblies of logstash middleware to acquired log information；
Storing sub-units, for being stored filtered log information to present count according to the output precision of logstash middleware
According to storage platform.
8. device as claimed in claim 6, which is characterized in that the display unit, comprising:
Extraction unit, for extracting the abnormal log information to be processed, and by the abnormal log information to be processed with
The form of table structure is stored；
Encapsulation unit, for the abnormal log information to be processed stored to be packaged into the data of XML format；
It shows subelement, for graphical report style to be arranged in default JSP page, and calls FusionCharts plug-in unit will
The data of XML format carry out parsing and are generated as report, and show report generated in default JSP page.
9. a kind of computer equipment, including memory, processor and it is stored on the memory and can be on the processor
The computer program of operation, which is characterized in that the processor realizes that claim 1-5 such as appoints when executing the computer program
Blog management method described in one.
10. a kind of computer readable storage medium, which is characterized in that the computer-readable recording medium storage have one or
More than one computer program, the one or more computer program can be by one or more than one processors
It executes, to realize blog management method as described in any one in claim 1-5.
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| CN201810924837.3A CN109284251A (en) | 2018-08-14 | 2018-08-14 | Blog management method, device, computer equipment and storage medium |
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