CN109359094A - A kind of full link tracing method and device of distributed system journal - Google Patents
A kind of full link tracing method and device of distributed system journal Download PDFInfo
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Abstract
The present invention relates to a kind of full link tracing method and devices of distributed system journal.The described method includes: S1, creation configuration file configures system, executes by following below scheme: configuration cluster server；Configure cluster dependence；Configuration data logical relation；S2 is read by application program and parses configuration file acquisition key message；S3 obtains the life course of system data according to key message.Described device includes system configuration unit, information acquisition unit and cluster Traversal Unit.The full link tracing of data logging is abstracted into three configuration files, by corresponding application programs read and parse these configuration files can obtain the corresponding server info of each cluster, system upstream and downstream sequence system data between logical relation these key messages, it may be implemented to bury a little in no code, the one-touch life course for obtaining a system data, and the problem of encountered in position line or in test process.
Description
Technical field
The present invention relates to log tracing system field more particularly to a kind of full link tracing method of distributed system journal and
Device.
Background technique
There is a large amount of distributed server in present Internet company, can be through excessive after each request is routed through
A operation system simultaneously tracks, and generates the access of many DB, but the data of these dispersions are located at different servers, by
Different development group management all helps problem investigation or process optimization limited.Once going wrong on line, will go out
Now all development groups being related to are added to the queue of problem investigation, waste valuable exploit natural resources.If there is set of system energy
The time of problem generation, place, by the solution efficiency for the problem that greatly improves, when shortening the influence of problem on line is accurately positioned
Between.The complete calling link of each request is tracked, the business datum of each service in call chain road is collected, location data occurs different
Normal reason also becomes each company's urgent need.
Log management platform is built using ELK by current numerous companies, and ELK includes that (data store, is fast ElasticSearch
Quick checking is ask), logstash (log collections), the kibana graphical interfaces of ElasticSearch data (displaying).Kibana is one
A graphical interfaces can be stored in the inner data of ElasticSearch (ES) by conditional information retrieval above, be equivalent to and provide ES's
Visualized operation manager.
There is the log tracing system built based on Elasticsearch at present, wherein needing to use log transmission tool, mesh
Preceding available delivery means have: Logstash, Filebeat, Fluentd, rsyslog, syslog-ng and Logagent.Base
In the Log Analysis System of logstash+Elasticsearch+kibana combination.For logstash, the packet that needs to configure
It includes: 1, data source 2, definition data format 3, output configuration (being output to elasticsearch).The above configuration will be saved in
Then logstash.conf runs logstash, it can be seen that logstash can inquire the ownership place of IP automatically, and will ask
The device field of the inside is asked to be analyzed.It is required to be configured with for Elasticsearch and kibana: 1,
Elasticsearch uses default configuration, configuration name config/elasticsearch.yml.Wherein
Elasticsearch default is monitored in 9200 ports, can it be inquired and be managed.2, Kibana does not need special match yet
It sets, default is monitored in 5601 ports.
The major advantage of Logstash is its flexible configuration, possesses a variety of customizable plug-in units, such as: input, filtering
Device, output are stored so as to obtain data abundant and send it to target.But the disadvantage of logstash simultaneously
Clearly, cross-system data cannot be associated by being mainly reflected in one, second is that key inquiry cannot be customized, third is that performance and money
Source consumption problem, speed can be slow when big data quantity.So needing when selecting logstash in view of clothes
The performance of business device.If server performance is poor, the log transmission tool substitution an of lightweight is just needed at this time
logstash。
Know by above-mentioned analysis, Log Administration System can be realized inquiry and record to different serve logs, but not
Processing and circulation can quickly and conveniently be obtained in the data of each system.
It is buried in code a little, is also able to achieve full link to flow into the scheme of data creation one unique id of next system
Log query, but the program needs to put into more manpower and material resources, modifies original code, not only influenced the performance of system but also
It is possible that introducing new problem to system.
Summary of the invention
To solve the above-mentioned problems, the purpose of the present invention is to provide a kind of full link tracing methods of distributed system journal
And device.The full link tracing of data logging is abstracted into three configuration files, i.e. cluster server configures, and cluster dependence is matched
It sets and is configured with data logical relation, each cluster pair can be obtained by being read by corresponding application programs and parsing these configuration files
These key messages of logical relation between the upstream and downstream sequence and system data of the server info, system answered, according to above pass
Key information may be implemented to bury a little in no code, utmostly reduce the intervention of exploitation, tester, and one-touch acquisition one is
The life course for data of uniting, and the problem of encountered in position line or in test process.
In order to achieve the above purpose, the embodiment of the present application is achieved in that
A kind of full link tracing method of distributed system journal provided by the embodiments of the present application, comprising:
S1, creation configuration file configure system, execute by following below scheme:
Configure cluster server；
Configure cluster dependence；
Configuration data logical relation；
S2 is read by application program and parses configuration file acquisition key message；
S3 obtains the life course of system data according to key message.
As optimal technical scheme, the configuration cluster server, comprising:
Define the unique identification of every group of cluster server；
Increase and decrease server under every group of cluster server.
As optimal technical scheme, the configuration cluster dependence, comprising:
Define upstream cluster server and downstream cluster server；
Establish the corresponding relationship between upstream cluster server and downstream cluster server.
As optimal technical scheme, a upstream cluster server can correspond to one or more downstream cluster servers.
As optimal technical scheme, the configuration data logical relation, comprising:
Define data line index；
Configuring has the server of data variation from upstream cluster server and/or downstream cluster server under every data line
Obtain the rule of data；
Wherein, the rule includes the transition rule of data and the processing rule of data.
As optimal technical scheme, the key message in the S2 includes: the corresponding server info of each cluster, every group
Logical relation between the upstream and downstream sequence and system data of cluster server.
As optimal technical scheme, the S3 includes:
S31 provides a system data；
S32 traverses corresponding cluster service in cluster server configuration file using the key message as querying condition
Device；
S33 exports the data line where the system data.
As optimal technical scheme, the S32 is executed by following below scheme:
The system data provided using in critical data obtained in S2 and S31 writes functional based method as function parameter,
Servers-all is traversed, affairs relevant to the system data in S1 are inquired；
Upstream and downstream cluster server is inquired according to cluster dependence configuration file, is divided in two branch Ergodic Theories
Remaining cluster server, a branch are upstream searched one by one, and another branch downstream searches one by one；Search upstream or under
When swimming cluster server, needs to read mathematical logic relation configuration file and obtain currently between upstream or downstream cluster server
Data conversion relationship.
As optimal technical scheme, in S2, after traversing warning message or error message, traversal is jumped out.
The full link tracing device of a kind of distributed system journal provided by the embodiments of the present application, comprising:
System configuration unit, for create configuration file configuration system, the configuration file include cluster server configuration,
The configuration of cluster dependence and the configuration of data logical relation；
Information acquisition unit obtains key message for configuration file to be read and parsed by application program；
Cluster Traversal Unit is used for input system data, the life course of the system data is obtained according to key message.
The present invention has the advantages that
1. this programme is the scheme of complete set inquired the full link of critical data log, data warp can be provided
Cross the information that each cluster server leaves, warning and mistake etc..
2. this programme application is simple, it is not required to bury a little in original system code, it is a large amount of does not need developer's investment
Manpower and material resources.
The problem of 3. this programme is easy to operate, can be to encounter in one-touch position line or in test process, orientation problem
The time of saving is also directly proportional to the quantity of cluster.If there are five systems, it will save for 4/5 log query time.
Detailed description of the invention
Fig. 1 is the flow chart of method in the present invention.
Fig. 2 is the flow chart of S3 in the method for the present invention.
Fig. 3 is the system architecture diagram of the embodiment of the present invention.
Fig. 4 is the schematic diagram that the present invention executes S3.
Fig. 5 is the functional block diagram of apparatus of the present invention.
Specific embodiment
The preferred embodiment of this patent is described in further detail with reference to the accompanying drawing.
It is as shown in Figure 1 a kind of implementation of a kind of full link tracing method of distributed system journal, this method comprises:
S1, creation configuration file configure system, execute by following below scheme:
Configure cluster server；
Configure cluster dependence；
Configuration data logical relation.
Wherein, configuration cluster server includes the unique identification for defining every group of cluster server；In every group of cluster server
Lower increase and decrease server.
For example, generating cluster server profile using xml, the extension name of cluster server configuration file is
.clusters, cluster server configuration file xml node is as follows: including in father node clusters, child node cluseter
Id and servers.Id is the unique identification of the cluster server, not reproducible, cluster server only one id.Increase and decrease
Server operates under servers node.For example, SystemA and SystemB is used to carry out mark two group cluster clothes as id
Be engaged in device, be associated with the two-server that IP is 192.168.1.1 and 192.168.1.2 under SystemA, above-mentioned SystemA and
SystemB gives a definition in child node cluseter, increases the two-server that IP is 192.168.1.1 and 192.168.1.2
Operation is given a definition in servers.
Wherein, configuration cluster server includes defining upstream cluster server and downstream cluster server；Establish upstream collection
Corresponding relationship between group's server and downstream cluster server.One upstream cluster server can correspond under one or more
Swim cluster server.
For example, generating cluster dependence configuration file using xml, the extension name of cluster dependence configuration file is
.relations, cluster dependence configuration file xml node is as follows: in father node relations, child node relation
Include upstream and downstream.Using upstream node definition upstream cluster server, saved using downstream
The value of point definition downstream cluster server, upstream and downstream must be that cluster server configuration file has existed
Id.For example, giving a definition the upstream-downstream relationship of SystemA and SystemB in a relation node, wherein SystemA exists
Upstream node is given a definition, and SystemB gives a definition in downstream node, then knows that SystemA is the upper of SystemB
Trip.Give a definition the upstream-downstream relationship of SystemB and SystemC in another relation node, wherein SystemB exists
Upstream node is given a definition, and SystemB gives a definition in downstream node, then knows that SystemB is the upper of SystemC
Trip.The upstream-downstream relationship between any two cluster server can be defined in a manner described.In addition, a upstream cluster server
Multiple downstream cluster servers can also be corresponded to, for example, a relation node give a definition SystemA, SystemB and
The upstream-downstream relationship of SystemC, wherein SystemA gives a definition in upstream node, and SystemB and SystemC exist
Downstream node is given a definition, then knows that SystemA is the upstream of SystemB and SystemC.Wherein, SystemA,
SystemB and SystemC is id defined in cluster server configuration file.
Wherein, configuration data logical relation includes defining data line index；Configuring under every data line has data variation
Server obtains the rule of data from upstream cluster server and/or downstream cluster server；As shown in figure 3, the rule packet
Include the transition rule of data and the processing rule of data.
For example, generating mathematical logic relation configuration file using xml, the extension name of mathematical logic relation configuration file is
.logics.Defaulting all data is not no transformational relation, i.e. form and value of the data in all cluster servers are all
It is the same.We need to configure .logics file after being processed or shifting in some cluster server.Mathematical logic relationship
Configuration file xml node is as follows: this document father node is logics, in child node logic comprising businessId and
transfer.One businessId represents a data line, and multiple data lines will configure multiple logic.It is saved in Transfer
The variation pattern for needing to list the system data under point has the cluster needs of data variation to provide from upstream and downstream and obtains data
Mode, wherein from upstream obtain data mode give a definition in fromUpStream node, from upstream obtain data mode
Give a definition in fromDownStream node, no matter providing data in which cluster in this way, we can be obtained on the cluster
The data in trip or downstream.Some data be in transmittance process will not the changed or data be located at a number
According to the initiation cluster on line and terminate cluster, therefore under a Transfer node, fromUpStream and
FromDownStream can only occur one.Transfer node is the specific implementation of outbound logic above and below data, it is defined
The data of paternal system (fromUpStream) and subsystem (fromDownStream) how are inquired by the data of present node.
For example, the data of paternal system store in the database, can be come out according to the data query of current system, we can make
With sentence SELECT Id_A FROM SystemA WHERE Id_B=Value_B.The Id_A checked out is exactly our systems
The upstream data of the corresponding data of A and Value_B.Similarly, we can also inquire downstream and correspond to Id_C.Certainly herein
Should support a variety of data modes, if only simple mathematical computations, our formulations.If upstream
Id obtains downstream id divided by 2, we can directly be write as<fromUpStream>systemA/2</fromUpStream>.These
Configuration can allow program to go parsing using which kind of data mode.
S2 is read by application program and parses configuration file acquisition key message.
There is the configuration file of above-mentioned creation, so that it may which newly-built java or other kinds of application program read and parse
These configuration files.We will obtain following information: the corresponding server info of every group of cluster, every group of cluster server up and down
Logical relation between trip sequence and system data.
S3 obtains the life course of system data according to key message.
The life course of the data refers to flowing of the data in whole life cycle: from creation and initial storage,
It is out-of-date deleted to it.
As shown in Figure 2 and Figure 4, S3 includes:
S31 provides the data C in a system data, such as SystemC.For example, systematic name is selected by webUI,
Business keyword name (for example buisinessId) is worth (for example: P123456).
S32 traverses corresponding cluster service in cluster server configuration file using the key message as querying condition
Device.The S32 is executed by following below scheme:
The system data provided using in critical data obtained in S2 and S31 writes functional based method as function parameter,
Servers-all is traversed, after inquiring affairs relevant to the system data in S1, warning message or error message, is jumped out time
It goes through；Once detecting warning message or error message, current system title, machine name and specific warning or mistake are printed
Log.
Upstream and downstream cluster server is inquired according to cluster dependence configuration file, is divided in two branch Ergodic Theories
Remaining cluster server, a branch are upstream searched one by one, and another branch downstream searches one by one；Search upstream or under
When swimming cluster server, needs to read mathematical logic relation configuration file and obtain currently between upstream or downstream cluster server
Data conversion relationship.
S33 exports the data line where the system data.
The specific executive mode of S3 is illustrated by taking java application program as an example:
The method for designing three parameters of a band, for example queryDataFlow (String systemId, String
BusinessId, String value).
Corresponding server in .clusers file is obtained according to systemId, functional based method traversal is write and enters all services
Device inquires info associated with the data and jumps out traversal after warning and mistake.BusinessId is in inquiry upstream and downstream system
System relationship can be used as condition.
Upstream and downstream system is inquired according to .relations, two branches is divided to go to traverse remaining cluster.One branch to
Upstream is searched one by one, and another branch downstream searches one by one.
.logics configuration file is read when searching upstream (or downstream) cluster, obtain current and upstream (or downstream)
Data conversion relationship between cluster, if the relationship can be embodied from database, after can use data base querying conversion
Then data arrive the inquiry associated info of translated data in upstream (or downstream) cluster, warning and mistake；If the relationship
It is calculated by specific algorithm, then only needs to add the corresponding method of the algorithm in our program code, then call
This method come obtain conversion after data.
The full link tracing of a kind of distributed system journal as shown in Figure 5, shown device include:
System configuration unit 51, for creating configuration file configuration system, the configuration file includes that cluster server is matched
It sets, the configuration of cluster dependence and data logical relation configure；
Information acquisition unit 52 obtains key message for configuration file to be read and parsed by application program；
Cluster Traversal Unit 53 is used for input system data, the life course of the system data is obtained according to key message.
Claims (10)
1. a kind of full link tracing method of distributed system journal characterized by comprising
S1, creation configuration file configure system, execute by following below scheme:
Configure cluster server；
Configure cluster dependence；
Configuration data logical relation；
S2 is read by application program and parses configuration file acquisition key message；
S3 obtains the life course of system data according to key message.
2. a kind of full link tracing method of distributed system journal according to claim 1, which is characterized in that the configuration
Cluster server, comprising:
Define the unique identification of every group of cluster server；
Increase and decrease server under every group of cluster server.
3. a kind of full link tracing method of distributed system journal according to claim 1, which is characterized in that the configuration
Cluster dependence, comprising:
Define upstream cluster server and downstream cluster server；
Establish the corresponding relationship between upstream cluster server and downstream cluster server.
4. a kind of full link tracing method of distributed system journal according to claim 3, which is characterized in that a upstream
Cluster server can correspond to one or more downstream cluster servers.
5. a kind of full link tracing method of distributed system journal according to claim 1, which is characterized in that the configuration
Mathematical logic relationship, comprising:
Define data line index；
Configuring has the server of data variation to obtain from upstream cluster server and/or downstream cluster server under every data line
The rule of data；
Wherein, the rule includes the transition rule of data and the processing rule of data.
6. a kind of full link tracing method of distributed system journal according to claim 1, which is characterized in that in the S2
Key message include: the corresponding server info of every group of cluster, the upstream and downstream sequence of every group of cluster server and system data
Between logical relation.
7. a kind of full link tracing method of distributed system journal according to claim 1, which is characterized in that the S3 packet
It includes: S31 and provides a system data；
S32 traverses corresponding cluster server in cluster server configuration file using the key message as querying condition；
S33 exports the data line where the system data.
8. a kind of full link tracing method of distributed system journal according to claim 7, which is characterized in that the S32
It is executed by following below scheme:
The system data provided using in critical data obtained in S2 and S31 writes functional based method as function parameter, traversal
Servers-all inquires affairs relevant to the system data in S1；
Upstream and downstream cluster server is inquired according to cluster dependence configuration file, is divided to remaining in two branch Ergodic Theories
Cluster server, a branch are upstream searched one by one, and another branch downstream searches one by one；Searching upstream or downstream collection
When group's server, needs to read mathematical logic relation configuration file and obtain the currently number between upstream or downstream cluster server
According to transformational relation.
9. a kind of full link tracing method of distributed system journal according to claim 7, which is characterized in that in S3, time
It goes through to after warning message or error message, jumps out traversal.
10. a kind of full link tracing device of distributed system journal characterized by comprising
System configuration unit, for creating configuration file configuration system, the configuration file includes cluster server configuration, cluster
Dependence configuration and the configuration of data logical relation；
Information acquisition unit obtains key message for configuration file to be read and parsed by application program；
Cluster Traversal Unit is used for input system data, the life course of the system data is obtained according to key message.
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| CN110716842A (en) * | 2019-10-09 | 2020-01-21 | 北京小米移动软件有限公司 | Cluster fault detection method and device |
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| CN112737856A (en) * | 2020-12-31 | 2021-04-30 | 青岛海尔科技有限公司 | Link tracking method and device, storage medium and electronic device |
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| CN112486786A (en) * | 2020-11-12 | 2021-03-12 | 贝壳技术有限公司 | Calling link tracking method and device |
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| CN112737856A (en) * | 2020-12-31 | 2021-04-30 | 青岛海尔科技有限公司 | Link tracking method and device, storage medium and electronic device |
| CN114691707A (en) * | 2022-05-27 | 2022-07-01 | 云账户技术(天津)有限公司 | Online cluster service configuration method, system, network equipment and storage medium |
| CN114817340A (en) * | 2022-06-30 | 2022-07-29 | 深圳红途科技有限公司 | Data tracing method and device, computer equipment and storage medium |
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