CN107229556A - Log Analysis System based on elastic components - Google Patents
Log Analysis System based on elastic components Download PDFInfo
- Publication number
- CN107229556A CN107229556A CN201710433659.XA CN201710433659A CN107229556A CN 107229556 A CN107229556 A CN 107229556A CN 201710433659 A CN201710433659 A CN 201710433659A CN 107229556 A CN107229556 A CN 107229556A
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- Prior art keywords
- daily record
- record data
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- analysis
- elastic components
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
- G06F11/3466—Performance evaluation by tracing or monitoring
- G06F11/3476—Data logging
Abstract
The invention discloses a kind of Log Analysis System based on elastic components, including：Server and monitor terminal；Server includes acquisition module, creation module, processing module, sending module, analysis module；Acquisition module is used for, and obtains daily record data；Creation module is used for, and creates message queue, daily record data is write into message queue；Processing module is used for, and daily record data is read from message queue, and daily record data is pre-processed according to default processing rule, obtains pre-processing daily record data；Sending module is used for, and pretreatment daily record data is sent into elastic components is stored；Analysis module is used for, and pretreatment daily record data is analyzed and processed according to presupposition analysis rule, analysis result is obtained；Sending module is additionally operable to, and when analysis result exceedes predetermined threshold value, analysis result and prompt message are sent to monitor terminal；Monitor terminal is used for, and by analysis result and prompt message generation visual analyzing report, and is shown.
Description
Technical field
The present invention relates to technical field of data processing, more particularly to a kind of Log Analysis System based on elastic components.
Background technology
With flourishing for Internet technology, user becomes increasingly popular to handle various industry by terminal access internet
Business.Business scale constantly expands, and systemic-function can become to become increasingly complex, in order to deal with the fast development of business, reduction exploitation
Difficulty, excludes performance bottleneck, and system can constantly be split, and is evolved into the distributed system for including a variety of sub-services, and each sub-services are led to
Cross remote procedure call protocol (Remote Procedure Call Protocol, RPC) mutually to call, finally complete Business Stream
Journey.This process for splitting and evolving is irreversible, and subsystem becomes more and more, and various special function components can constantly be drawn
Enter, system and machine scale expand rapidly.
When business development is to certain scale, several O＆Ms or developer at all can not be comprehensively in understanding systems
Each logic, each server is logged in after failure, goes in daily record to look into using the Linux wscript.exes such as grep/sed/awk
Failure cause is looked for, the troubleshooting time is long, it is not easy to find fault rootstock in time.
Log Analysis System of the prior art, such as splunk, daily record easily, logz.io system prices it is expensive, data peace
Full property can not ensure, not high with specified service logic conjugation.
The content of the invention
The invention provides a kind of Log Analysis System based on elastic components, to solve daily record of the prior art
Analysis system is expensive, and Information Security can not ensure, with specified service logic conjugation it is not high the problem of.
The embodiments of the invention provide a kind of Log Analysis System based on elastic components, including：Server and monitoring
Terminal；
The server includes acquisition module, creation module, processing module, sending module, analysis module；
The acquisition module is used for, and obtains daily record data, and the daily record data includes system journal and business diary；
The creation module is used for, and creates message queue, and the daily record data is write into the message queue；
The processing module is used for, and the daily record data is read from the message queue, right according to default processing rule
The daily record data is pre-processed, and obtains pre-processing daily record data；
The sending module is used for, and the pretreatment daily record data is sent into elastic components is stored；
The analysis module is used for, and the pretreatment daily record data is analyzed and processed according to presupposition analysis rule, obtained
To analysis result；
The sending module is additionally operable to, and when the analysis result exceedes predetermined threshold value, is sent and is divided to the monitor terminal
Analyse result and prompt message；
The monitor terminal is used for, and the analysis result and prompt message generation visual analyzing report are gone forward side by side
Row display.
Further, the processing module specifically for：
The daily record data is filtered according to field, and by the daily record data after filtering according to type of service addition point
Class is identified.
Further, the server also includes enquiry module；
The enquiry module is used for, and the inquiry request that receiving terminal is sent, the inquiry request includes querying condition；
According to the querying condition in elastic components real-time query daily record data, and be sent to the terminal.
Further, the analysis module specifically for：
The error message of the first business in pretreatment daily record data is counted according to the default rule that reports an error, obtained
The error number of times of first business.
Further, the system also includes alarm module；
The alarm module is used for, when first business error number of times more than first business report an error threshold value when,
Warning message is sent to the monitor terminal.
Further, the analysis module specifically for：
User in preset time period is extracted from pretreatment daily record data according to URL addresses, MAC Address, IP address respectively
Access data；
According to the access data, the clicking rate of user in preset time period is counted.
Log Analysis System provided in an embodiment of the present invention based on elastic components, server obtains daily record data, day
Will packet contains system journal and business diary；Message queue is created, daily record data is write into message queue；From message queue
Daily record data is read, daily record data is pre-processed according to default processing rule, obtains pre-processing daily record data；Will pretreatment
Daily record data is sent to elastic components and stored；Pretreatment daily record data is carried out at analysis according to presupposition analysis rule
Reason, obtains analysis result；When analysis result exceedes predetermined threshold value, analysis result and prompt message are sent to monitor terminal；Prison
Control terminal is shown analysis result and prompt message generation visual analyzing report.System provided in an embodiment of the present invention
System, is handled daily record data based on the elastic components increased income, reduces cost；Analyzed according to default analysis rule
Daily record data, can effectively be combined with specified service logic；Participated in without third-party analysis system, improve the safety of data
Property.
Brief description of the drawings
Fig. 1 is the schematic diagram of the Log Analysis System provided in an embodiment of the present invention based on elastic components.
Embodiment
In order that the object, technical solutions and advantages of the present invention are clearer, below in conjunction with accompanying drawing the present invention is made into
One step it is described in detail, it is clear that described embodiment is only embodiment of the invention a part of, rather than whole implementation
Example.Based on the embodiment in the present invention, what those of ordinary skill in the art were obtained under the premise of creative work is not made
All other embodiment, belongs to the scope of protection of the invention.
With reference to the schematic diagram of the Log Analysis System based on elastic components shown in Fig. 1, to the embodiment of the present invention
The Log Analysis System based on elastic components provided is described in detail.
As shown in figure 1, the Log Analysis System based on elastic components that the present invention is provided mainly includes：The He of server 1
Monitor terminal 2.
Server 1 includes acquisition module 11, creation module 12, processing module 13, sending module 14, analysis module 15.
Acquisition module 11 is used for, and obtains daily record data, and daily record data includes system journal and business diary.
The server end in need for collecting information pass through light weight DBMS and send instrument fiilebeat or linux systems
Log collection of uniting sends the log path and screen journal format that instrument rsyslog configurations need to collect, and is obtained according to log path
Filtered out to system journal and business diary, and by the daily record for being unsatisfactory for call format.
It should be noted that collection of log data sends instrument in addition to fiilebeat and rsyslog, can also
Other instruments are selected as needed, and the present invention is including but not limited to this.
Creation module 12 is used for, and creates message queue, daily record data is write into message queue.
In a specific embodiment, cluster tool zookeeper and the message queue establishment instrument of increasing income of increasing income are utilized
Kafka cluster creates message queue.
In a distributed system, a distributed transaction association is multiple nodes, and each of which node goes wrong
The bottleneck in whole issued transaction flow will be turned into.If neither one plays cushioning effect between logical node and database
Node, that is, operation will access database every time, can reduce the response speed and stability of system, create message queue
Purpose be exactly to set up buffer joint between logical node and database, system response time is improved, moreover, message team
Row can also play a part of decoupling, improve the stability of system.
Processing module 13 is used for, and daily record data is read from message queue, and daily record data is entered according to default processing rule
Row pretreatment, obtains pre-processing daily record data；
Specifically, being filtered to daily record data according to field, and the daily record data after filtering is added according to type of service
Plus class indication.
The step of this step is cleaned for daily record, filters to daily record data according to field, and by the daily record number after filtering
Class indication is added according to according to type of service.
In a specific embodiment, it is possible to use daily record cleaning tool logstatsh carries out daily record cleaning, in daily record
The filtering rule and some label informations of log field are set in cleaning system.
Sending module 14 is used for, and pretreatment daily record data is sent into elastic components is stored.
The daily record data after cleaning is collected to be stored by distributed search and analysis engine ElasticSearch,
ElasticSearch is open source technology, so that avoid using expensive Log Analysis System in the prior art, moreover,
ElasticSearch can provide the real-time query of data.
Analysis module 15 is used for, and pretreatment daily record data is analyzed and processed according to presupposition analysis rule, analyzed
As a result.
The service logic rule specified can be combined and demand information presets various analysis rules and daily record data is divided
Analysis, obtains corresponding analysis result.
Alternatively, analysis module 15 is used for according to the default rule that reports an error to the first business in pretreatment daily record data
Error message is counted, and obtains the error number of times of the first business.
Alternatively, server also includes alarm module 17；
Alarm module 17 is used for, when the first business error number of times more than the first business report an error threshold value when, to monitor terminal
Send warning message.
Alternatively, analysis module 15 is used for respectively according to URL addresses, MAC Address, IP address from pretreatment daily record data
Extract the access data of user in preset time period；According to the clicking rate for accessing user in data, statistics preset time period.
Sending module 14 is additionally operable to, and when analysis result exceedes predetermined threshold value, is sent analysis result to monitor terminal and is carried
Show information.
The result data of the value type obtained for analysis, judges whether the result value exceedes corresponding default threshold
Value, if it does, it is whole that analysis result and prompt message then are sent into specific monitoring personnel by way of information or mail
End.
Optionally, when the error number of times that the first business is performed reports an error threshold value more than the first business, sending module 14 is to prison
Control terminal sends warning message.
Server receives original log, is managed collectively and sets up index, searching analysis result can be returned in seconds, helps
Help positioning failure cause in time.With reference to alarm monitoring, failure occur or it is imminent when be issued by alarm.Pass through foreground
Displaying function can check system status at any time, system situation be had at fingertips, it is to avoid that puts out a fire afterwards is passive.
In addition, server also includes enquiry module 16；
Enquiry module 16 is used for, and the inquiry request that receiving terminal is sent, inquiry request includes querying condition；According to inquiry bar
Part real-time query daily record data in elastic components, and it is sent to terminal.
Monitor terminal 2 is used for, and by analysis result and prompt message generation visual analyzing report, and is shown.
For example, the data result that analysis is calculated can be by data visualization to warning message and related initial data
Demonstration tool Kibana, grafana etc. are shown, and are easy to monitor terminal side system attendant to pinpoint the problems in time, in time
Take measures on customs clearance and solved.
Log Analysis System provided in an embodiment of the present invention based on elastic components, server obtains daily record data, day
Will packet contains system journal and business diary；Message queue is created, daily record data is write into message queue；From message queue
Daily record data is read, daily record data is pre-processed according to default processing rule, obtains pre-processing daily record data；Will pretreatment
Daily record data is sent to elastic components and stored；Pretreatment daily record data is carried out at analysis according to presupposition analysis rule
Reason, obtains analysis result；When analysis result exceedes predetermined threshold value, analysis result and prompt message are sent to monitor terminal；Prison
Control terminal is shown analysis result and prompt message generation visual analyzing report.System provided in an embodiment of the present invention
System, is handled daily record data based on the elastic components increased income, reduces cost；Analyzed according to default analysis rule
Daily record data, can effectively be combined with specified service logic；Participated in without third-party analysis system, improve the safety of data
Property.
Professional should further appreciate that, each example described with reference to the embodiments described herein
Unit and algorithm steps, can be realized with electronic hardware, be generally described respectively according to function in the above description
The composition and step of example.Function described by being realized to each specific application using distinct methods, but this reality
Now it is not considered that beyond the scope of the embodiment of the present invention.Specifically, the computing and control section can dredging collateral logic hardwares
Realize, it can be the logical integrated circuit manufactured using integrated circuit technology, and the present embodiment is not construed as limiting to this.
The method that is described with reference to the embodiments described herein can use hardware, computing device the step of algorithm
Software module, or the two combination are implemented.Software module can be placed in random access memory (RAM), internal memory, read-only storage
(ROM), electrically programmable ROM, electrically erasable ROM, register, hard disk, moveable magnetic disc, CD-ROM or technical field
In any other form of storage medium well known to interior.
Above-described embodiment, purpose, technical scheme and beneficial effect to the embodiment of the present invention are carried out
It is further described, should be understood that the embodiment that the foregoing is only the embodiment of the present invention, and without
It is all within the spirit and principle of the embodiment of the present invention in the protection domain for limiting the embodiment of the present invention, any modification for being made,
Equivalent substitution, improvement etc., should be included within the protection domain of the embodiment of the present invention.
Claims (6)
1. a kind of Log Analysis System based on elastic components, it is characterised in that the system includes：Server and monitoring
Terminal；
The server includes acquisition module, creation module, processing module, sending module, analysis module；
The acquisition module is used for, and obtains daily record data, and the daily record data includes system journal and business diary；
The creation module is used for, and creates message queue, and the daily record data is write into the message queue；
The processing module is used for, and the daily record data is read from the message queue, according to default processing rule to described
Daily record data is pre-processed, and obtains pre-processing daily record data；
The sending module is used for, and the pretreatment daily record data is sent into elastic components is stored；
The analysis module is used for, and the pretreatment daily record data is analyzed and processed according to presupposition analysis rule, divided
Analyse result；
The sending module is additionally operable to, and when the analysis result exceedes predetermined threshold value, analysis knot is sent to the monitor terminal
Fruit and prompt message；
The monitor terminal is used for, and by the analysis result and prompt message generation visual analyzing report, and is shown
Show.
2. the Log Analysis System according to claim 1 based on elastic components, it is characterised in that the processing mould
Block specifically for：
The daily record data is filtered according to field, and the daily record data after filtering is added into contingency table according to type of service
Know.
3. the Log Analysis System according to claim 1 based on elastic components, it is characterised in that the server
Also include enquiry module；
The enquiry module is used for, and the inquiry request that receiving terminal is sent, the inquiry request includes querying condition；
According to the querying condition in elastic components real-time query daily record data, and be sent to the terminal.
4. the Log Analysis System according to claim 1 based on elastic components, it is characterised in that the analysis mould
Block specifically for：
The error message of the first business in pretreatment daily record data is counted according to the default rule that reports an error, obtains described
The error number of times of first business.
5. the Log Analysis System according to claim 4 based on elastic components, it is characterised in that the system is also
Including alarm module；
The alarm module is used for, when first business error number of times more than first business report an error threshold value when, to institute
State monitor terminal and send warning message.
6. the Log Analysis System according to claim 1 based on elastic components, it is characterised in that the analysis mould
Block specifically for：
Extract the visit of user in preset time period from pretreatment daily record data according to URL addresses, MAC Address, IP address respectively
Ask data；
According to the access data, the clicking rate of user in preset time period is counted.
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| CN107273267A (en) * | 2017-06-09 | 2017-10-20 | 环球智达科技（北京）有限公司 | Log analysis method based on elastic components |
| CN107943904A (en) * | 2017-11-17 | 2018-04-20 | 北京锐安科技有限公司 | The method and device of a kind of big data analysis |
| CN108259269A (en) * | 2017-12-30 | 2018-07-06 | 上海陆家嘴国际金融资产交易市场股份有限公司 | The monitoring method and system of the network equipment |
| CN108256096A (en) * | 2018-01-30 | 2018-07-06 | 北京搜狐新媒体信息技术有限公司 | A kind of data processing method and device |
| CN108874559A (en) * | 2018-05-31 | 2018-11-23 | 康键信息技术（深圳）有限公司 | electronic device, distributed system service link analysis method and storage medium |
| CN109684370A (en) * | 2018-09-07 | 2019-04-26 | 平安普惠企业管理有限公司 | Daily record data processing method, system, equipment and storage medium |
| CN109582537A (en) * | 2018-11-07 | 2019-04-05 | 阿里巴巴集团控股有限公司 | Service security means of defence and its system |
| CN109274556A (en) * | 2018-11-09 | 2019-01-25 | 四川长虹电器股份有限公司 | A kind of collection and analysis system of web log |
| CN109299042A (en) * | 2018-11-12 | 2019-02-01 | 郑州云海信息技术有限公司 | A kind of log processing method and system |
| CN110309030A (en) * | 2019-07-05 | 2019-10-08 | 亿玛创新网络(天津)有限公司 | Log analysis monitoring system and method based on ELK and Zabbix |
| CN110764968A (en) * | 2019-10-21 | 2020-02-07 | 北京明略软件系统有限公司 | Information processing method and device |
| CN110852812B (en) * | 2019-11-20 | 2023-11-14 | 满江(上海)软件科技有限公司 | Advertisement information monitoring system |
| CN110852812A (en) * | 2019-11-20 | 2020-02-28 | 满江(上海)软件科技有限公司 | Advertisement information monitoring system |
| CN111368039A (en) * | 2020-03-10 | 2020-07-03 | 澳克多普有限公司 | Data management system |
| CN111368039B (en) * | 2020-03-10 | 2024-03-22 | 澳克多普有限公司 | Data management system |
| CN111581054A (en) * | 2020-04-30 | 2020-08-25 | 重庆富民银行股份有限公司 | ELK-based log point-burying service analysis and alarm system and method |
| CN111581054B (en) * | 2020-04-30 | 2024-04-09 | 重庆富民银行股份有限公司 | Log embedded point service analysis alarm system and method based on ELK |
| CN113190423A (en) * | 2021-04-20 | 2021-07-30 | 北京异乡旅行网络科技有限公司 | Service data monitoring method, device and system |
| CN113190423B (en) * | 2021-04-20 | 2024-02-20 | 北京异乡旅行网络科技有限公司 | Method, device and system for monitoring service data |
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Application publication date: 20171003 |