CN108984583A - A kind of searching method based on journal file - Google Patents
A kind of searching method based on journal file Download PDFInfo
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- CN108984583A CN108984583A CN201810471333.0A CN201810471333A CN108984583A CN 108984583 A CN108984583 A CN 108984583A CN 201810471333 A CN201810471333 A CN 201810471333A CN 108984583 A CN108984583 A CN 108984583A
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Abstract
The big data analysis method based on log that the invention discloses a kind of, the big data analysis method based on log is mainly applied by related Beats and carries out data acquisition in each server according to its configuration file, then collects the data by Beats application acquisition by LogStash and is deposited into ElasticSearch by the sequence that automatic indexing generates.ElasticSearch externally provides the query interface of succinct Restful style.Elasticsearch, which is developed by java applet and used Lucene as its core, calls inquiry data to realize, realize the function of all indexes and search, it can be realized accurate positioning search log information and analyze related data, obtain the effect of accurately business datum.It is visually shown finally by Echart, to hide the complexity of Lucene itself, so that index and search be allowed to become convenient intuitive.
Description
Technical field
The present invention relates to journal file technical fields, particularly relate to a kind of searching method based on journal file.
Background technique
In recent years, since data are in the sustainable growth of internet area, the process demand of each company all face amount data.Number
Support is provided according to the O&M decision that analysis is mainly company, the log that each server generates is based primarily upon to be analyzed, is based on
Data information provided by these logs is scanned for and is positioned to specific target, is realized and is carried out specific aim to specific target
Processing analysis.The journal file includes: by the journal file of operation system output, by the journal file of system service output
It is responsible for acquiring the serve log and system log that are distributed on physical host or virtual machine with being serviced by Filebeat.
Prior art is using ELK Stack (elasticsearch, logstash&kibana, analysis visualization
Platform) frame scans for data, as shown in Figure 1, being prior art ELK-Stack block schematic illustration, comprising:
Elasticsearch (elasticity retrieval frame), IKAnalyzer (IK Chinese word segmentation machine), Logstash (log storage), Beats
(data acquisition applications) are built-up.
Beats application, to acquire the daily record data generated by system and service, wherein Beats includes file acquisition again
Metricbeat (light-type index collection device) is applied using Filebeat (light-type log collector) and equipment detection,
Beats is applied to acquire
System log and serve log, collect finally by LogStash and store ElasticSearch.
LogStash, to collector journal, interface service state and equipment operation condition and storage is arrived
ElasticSearch。
ElasticSearch to collect by the collected data of LogStash, and establishes index and provides retrieval behaviour
Make, search for target information and provides query interface to outside.
WebService (network service, a kind of technology of service orientation framework), to the data that Intranet is collected
It is stored in index database, and provides query interface to outside.
Oracle (Oracle Database, oracle database, a relational database management system), returns Intranet
The data that collection gets up are stored in index database, store blog search historical record and search hot spot and provide query interface to outside.
The shortcomings that prior art, mainly has:
1, when disposing Beats, if when one host of monitoring or several services, operating or fairly simple, but being distributed
In formula system, face phase be tens physical host or virtual machine even up to a hundred or thousands of when, then to spend a large amount of manpower
It completes, it is not only time-consuming and laborious but also may result in maloperation due to manual operation；
2, Logstash is configurable to different log or service and establishes corresponding index, but is servicing numerous feelings
Under condition, configuration information foundation correctly indexes relatively complicated；
3, the generic configuration that Elasticsearch is provided, establishing index and search operaqtion in high load for document becomes
Accordingly relatively slow, part operation needs the waiting time longer.
For total, the prior art haves the shortcomings that search efficiency is lower.
Summary of the invention
In view of this, realizing rapid deployment it is an object of the invention to propose a kind of searching method based on journal file
Related service, efficient execute establish index and search operaqtion, that is, improve search efficiency when processing big data.
It is top-down to be respectively arranged with based on a kind of above-mentioned purpose searching method based on journal file provided by the invention
Represent layer, control layer, service layer, basic data layer；
The basic data layer is the data source of whole system, comprising: data acquisition, data analysis, data storage, number
According to caching；The basic data layer is interacted with data collection layer downwards, is equipped with a set of automatically dispose script, is data collection layer
Basic data support is provided；
The data collection layer is used to acquire and collect the data such as log, data packet, service interface state and facility information；
The data collection layer is interacted with basic data layer, receives the data that basic data layer uploads, and these data according to log
Corresponding service type creation index；The data collection layer is interacted with service layer, provides information retrieval interface for service layer；If
There is a set of Logstash script creation index creation index, Elasticsearch is optimized later；
The service layer is responsible for and data collection layer, represent layer interaction, receives retrieval or analysis request that represent layer issues,
And the format that the data conversion of request is identified at acquisition layer, and the Retrieval Interface for calling data collection layer to provide, the service
It is equipped with general purpose converter in layer, the data processing retrieved from data collection layer and is output to represent layer；
The represent layer carries out data interaction to the service of user's display systems and service layer by WEB page, from service
The data that layer obtains show user in the form of several show.
As one embodiment, the automatically dispose script is by Shell script edit, by the Shell script
Sed order operates the associated profile of Beat, and server ip address is configured by Sed order in Metricbeat
Configuration file in IP node, the IP address of the installed service of LogStash is configured in MetricBeat by Sed order
Output node in；FileBeat configures the path of wanted collector journal in filebeatpath.conf file, then leads to
It crosses in the path node for official's configuration file that Sed order is read into Filebeat, then by Sed order by LogStash
The IP address for the service of installing configures in the output node of MetricBeat, completes the configuration of FileBeat.
As one embodiment, data that are described collected and collecting include but is not limited to: Filebeat is monitored each
The memory of system service log and system log and the collected physical machine of Metricbeat or virtual machine, CPU, hard disk occupy
Rate.
As one embodiment, the general purpose converter is used as input according to the result inquired, in general purpose converter
Data encapsulation transition is carried out, corresponding data format is exported.
As one embodiment, the display form includes but is not limited to line chart, histogram, pie chart, table and map.
As one embodiment, it is described Elasticsearch is optimized the problem of including: about JVM Memory Allocation,
Modify the value of heap size.
As one embodiment, the basic step of the Logstash script creation index is as follows:
Newly-built Logstash_to_es.conf file；
Configure the port 5044 of the specified Beat of input of LogStash；
The output output for configuring LogStash, is output to ElasticSeach, specifies its IP and corresponding port, and refer to
Its fixed format for automatically generating index name.
As one embodiment, the Logstash_to_es.conf is the text configuration file of Logstash, wherein wrapping
It includes but is not limited to: defining data source, configuration output port, define data format and define timestamp format.
From the above it can be seen that a kind of searching method based on journal file provided by the invention, using it is a set of from
Dynamicization deployment script realizes the configuration file for conveniently and efficiently configuring Beats, is applied by related Beats according to its configuration text
Part carries out data acquisition in each server.Using a set of efficient Logstash script, for the information collected is quick
Divide to create according to classification and index, there will be the data of the Beats application acquisition to be simultaneously deposited by the sequence of automatic indexing generation
ElasticSearch.Elasticsearch is optimized, to improve the handling capacity of system.Reach the mesh for improving whole efficiency
's.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
It obtains other drawings based on these drawings.
Fig. 1 is prior art ELK-Stack block schematic illustration；
Fig. 2 is total system of embodiment of the present invention logical architecture schematic diagram；
Fig. 3 is the homologous commutator principle schematic diagram of the embodiment of the present invention.
Specific embodiment
To make the objectives, technical solutions, and advantages of the present invention clearer, below in conjunction with specific embodiment, and reference
Attached drawing, the present invention is described in more detail.
In order to realize that index and search operaqtion are established in rapid deployment related service, efficient execute, that is, improve the big number of processing
According to when search efficiency purpose.
This programme is top-down be respectively arranged with represent layer (View), control layer (Control), service layer (Service),
Basic data layer.Wherein, the basic data layer includes: data acquisition, data analysis, data storage, data buffer storage.
As shown in Fig. 2, being total system of embodiment of the present invention logical architecture schematic diagram.
The basic data layer is the data source of whole system, is interacted with data collection layer downwards, is data collection layer
Basic data support is provided.It is time-consuming and laborious and be easy to appear maloperation in order to solve the problems, such as to dispose Beats in the prior art, this
Invention is equipped with a set of automatically dispose script, the configuration file of automatic configuration Beats may be implemented, it is only necessary in respective service
A small amount of configuration file is modified under device can be completed configuration to Beats.The automatically dispose script is carried out by Shell script
It writes, the associated profile of Beat is operated by Sed order in Shell script, server ip address is passed through into Sed
Order configuration is in the configuration file of Metricbeat in IP node, by Sed order by the IP of the installed service of LogStash
Address configuration is in the output node of MetricBeat.To complete the automatically dispose of MetricBeat.FileBeat is needed
The path that wanted collector journal is configured in filebeatpath.conf file, is then read by Sed order
In the path node of official's configuration file of Filebeat, then by Sed order by the IP address of the installed service of LogStash
Configuration is in the output node of MetricBeat, to complete the configuration of FileBeat.So as to mass deployment Beats clothes
Business, greatly reduces manpower and the time of the consumption of deployment services.
The data collection layer is used to acquire and collect the data such as log, data packet, service interface state and facility information.
Data that are described collected and collecting include but is not limited to: each system service log and system log that Filebeat is monitored and
The memory of the collected physical machine of Metricbeat or virtual machine, CPU, hard disk occupancy.The data collection layer and basic number
According to layer interaction, the data that basic data layer uploads are received, and these data according to the corresponding service type creation index of log；
The data collection layer is also interacted with service layer, provides information retrieval interface for service layer.
The present invention uses a set of Logstash foot to solve the problems, such as that it is relatively complicated that Logstash foundation correctly indexes
This, indexes for the information collected point is created according to classification, and basic step is as follows:
Newly-built Logstash_to_es.conf file；
The port 5044 for configuring the specified Beat of input of LogStash, because monitoring of tools does not need filtration treatment,
Filter is not needed；
The output output for configuring LogStash, is output to ElasticSeach, specifies its IP and corresponding port, and refer to
Its fixed format for automatically generating index name.
The Logstash_to_es.conf is the text configuration file of Logstash, including but not limited to: definition
Data source, configuration output port define data format and define timestamp format
It can be seen that the logstash script simple structure may be implemented conveniently to create rope there is no redundancy step
Draw.
After LogStash script creation index, Elasticsearch is optimized, to improve system
Handling capacity achievees the purpose that improve whole efficiency.Described optimize to Elasticsearch includes: to solve JVM memory point
With the problem of, modify the value of heap size ,-Xmx2g be changed to-Xmx256m, that is, heap size [268435456]/
1024/1024 value.
The service layer is responsible for and data collection layer, represent layer interaction, this layer receive the retrieval or analysis that represent layer issues
Request, and the format that the data conversion of request is identified at acquisition layer, and the Retrieval Interface for calling data collection layer to provide, then
The data retrieved from data collection layer are processed and return to represent layer.In the service layer, present invention exploitation makes
With a kind of general purpose converter, Fig. 3 is the homologous commutator principle schematic diagram of the embodiment of the present invention, and the general purpose converter is equivalent to one
A special JSON data format carries out data conversion according to the result inquired.The realization principle of the converter be by from
The data that data source is got carry out data encapsulation transition, by its front end Echart chart as input in general purpose converter
The data format needed improves the efficiency of output image conversion result as output.
The represent layer carries out data interaction to the service of user's display systems and service layer by WEB page.The layer is responsible for
The data obtained from service layer are showed user in the form of more intuitive, display form includes but is not limited to line chart, column
Figure, pie chart, table, map etc..
In conclusion a kind of searching method based on journal file provided by the invention, uses a set of automatically dispose foot
This, realizes the configuration file for conveniently and efficiently configuring Beats, is applied according to its configuration file by related Beats in each service
Device carries out data acquisition.Using a set of efficient Logstash script, created for the information collected is quickly divided according to classification
It indexes, by the data for having the Beats application acquisition and is deposited into ElasticSearch by the sequence that automatic indexing generates.
Elasticsearch is optimized, to improve the handling capacity of system.Achieve the purpose that improve whole efficiency.
It should be understood by those ordinary skilled in the art that: the discussion of any of the above embodiment is exemplary only, not
It is intended to imply that the scope of the present disclosure (including claim) is limited to these examples；Under thinking of the invention, above embodiments
Or can also be combined between the technical characteristic in different embodiments, step can be realized with random order, and be existed such as
Many other variations of the upper different aspect of the invention, for simplicity, they are not provided in details.Therefore, it is all
Within the spirit and principles in the present invention, any omission, modification, equivalent replacement, improvement for being made etc. be should be included in of the invention
Within protection scope.
Claims (8)
1. a kind of searching method based on journal file, which is characterized in that it is top-down be respectively arranged with represent layer, control layer,
Service layer, basic data layer；
The basic data layer is the data source of whole system, comprising: data acquisition, data analysis, data storage, data are slow
It deposits；The basic data layer is interacted with data collection layer downwards, is equipped with a set of automatically dispose script, is provided for data collection layer
Basic data support；
The data collection layer is used to acquire and collect the data such as log, data packet, service interface state and facility information；It is described
Data collection layer is interacted with basic data layer, receives the data that basic data layer uploads, and these data are corresponding according to log
Service type create index；The data collection layer is interacted with service layer, provides information retrieval interface for service layer；Equipped with one
Logstash script creation index creation index is covered, Elasticsearch is optimized later；
The service layer is responsible for and data collection layer, represent layer interaction, receives retrieval or analysis request that represent layer issues, and handle
The format that the data conversion of request is identified at acquisition layer, and the Retrieval Interface of data collection layer offer is provided, in the service layer
Equipped with general purpose converter, the data processing retrieved from data collection layer and it is output to represent layer；
The represent layer carries out data interaction to the service of user's display systems and service layer by WEB page, obtaining from service layer
The data taken show user in the form of several show.
2. the searching method according to claim 1 based on journal file, which is characterized in that the automatically dispose script
By Shell script edit, the associated profile of Beat is operated by Sed order in the Shell script, will be serviced
Device IP address is configured in the configuration file of Metricbeat in IP node by Sed order, by Sed order by LogStash
The IP address for the service of installing configures in the output node of MetricBeat；FileBeat is in filebeatpath.conf
The path that wanted collector journal is configured in file, is then read into official's configuration file of Filebeat by Sed order
Path node in, then by Sed order the IP address of the installed service of LogStash is configured MetricBeat's
In output node, the configuration of FileBeat is completed.
3. the searching method according to claim 1 based on journal file, which is characterized in that described collected and collect
Data include but is not limited to: each system service log and system log and Metricbeat that Filebeat is monitored are collected
The memory of physical machine or virtual machine, CPU, hard disk occupancy.
4. the searching method according to claim 1 based on journal file, which is characterized in that the general purpose converter according to
The result inquired carries out data encapsulation transition in general purpose converter, exports corresponding data format as input.
5. the searching method according to claim 1 based on journal file, which is characterized in that the display form include but
It is not limited to line chart, histogram, pie chart, table and map.
6. the searching method according to claim 1 based on journal file, which is characterized in that described right
The value that Elasticsearch optimizes the problem of including: about JVM Memory Allocation, modifies heap size.
7. the searching method according to claim 1 based on journal file, which is characterized in that the Logstash script wound
The basic step indexed is as follows:
Newly-built Logstash_to_es.conf file；
Configure the port 5044 of the specified Beat of input of LogStash；
The output output for configuring LogStash, is output to ElasticSeach, specifies its IP and corresponding port, and specify it
Automatically generate the format of index name.
8. the searching method according to claim 7 based on journal file, which is characterized in that the Logstash_to_
Es.conf is the text configuration file of Logstash, including but not limited to: define data source, configuration output port, definition
Data format and definition timestamp format.
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Application publication date: 20181211 |