CN106790718A - Service call link analysis method and system - Google Patents
Service call link analysis method and system Download PDFInfo
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- CN106790718A CN106790718A CN201710157586.6A CN201710157586A CN106790718A CN 106790718 A CN106790718 A CN 106790718A CN 201710157586 A CN201710157586 A CN 201710157586A CN 106790718 A CN106790718 A CN 106790718A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/60—Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/069—Management of faults, events, alarms or notifications using logs of notifications; Post-processing of notifications
Abstract
The service call link analysis method and system that the embodiment of the present application is provided, after service end receives the service invocation request of client transmission, uniquely corresponding calling follows the trail of mark to generate the service invocation request, and this calls the transmission in entirely link is called of tracking mark.Service end is obtained and calls corresponding whole log informations, then, log information process is obtained this and is called the tracking corresponding recalls information of mark, and by recalls information storage to database.Finally, the recalls information for being stored in off-line analysis database, obtains call relation and call parameters between each node in whole service calling system.Then the method carries out off-line analysis by call relation data storage storehouse to the data in database, obtains the call relation of whole service calling system, calls the information such as time-consuming, dependency degree.So as to the performance bottleneck in next step Analysis Service calling system and optimize.
Description
Technical field
The invention belongs to field of computer technology, more particularly to a kind of service call link analysis method and system.
Background technology
With Internet technology high speed development, in order to support growing huge portfolio, generally by service assembly, tear open
Point so that service can not only keep out flow attack by clustered deploy(ment), can carry out flexible expansion according to service needed again.
But, a request is completed by three, four service calls at least, at most across tens even up to a hundred services
Node.Even if the developer of distributed system, it is also difficult to clearly say the link that calls of certain service, and, service call
Link dynamic change.Which node how this distributed frame, if mistake and abnormal occurs in Business Stream, to position and occur in that and ask
Topic, how Analysis Service link bottleneck and it is optimized.Therefore, a kind of distributed call chain tracking system is needed badly, its
In, zipkin is a distributed real-time data tracing system increased income, and its major function is focused on from each heterogeneous system
Real-time monitoring data, for following the trail of the system delay problem under distributed micro services framework, but, zipkin unitary functions,
Can only in real time analyze and call situation, it is impossible to obtain the call relation in whole system between each application, call the parameter such as time-consuming,
The weak spot of links can not well be estimated.
The content of the invention
In view of this, the embodiment of the present application provides a kind of service call analysis method and device, to solve existing calling
D-chain trace system cannot obtain the call relation of whole system, call the parameter such as time-consuming, it is impossible to estimate each and call the thin of link
The problem of weakness.
In a first aspect, the application provides a kind of service call link analysis method, service end is applied to, including：
The corresponding log information of service invocation request is obtained, the log information includes that described calling follows the trail of mark, clothes
Business name, call type, allocating time information, call nodal information, call result and abnormal information, it is described call tracking mark with
The service invocation request is corresponded, and it is described call tracking mark service invocation request is corresponding call link in pass
Pass；
The corresponding recalls information of tracking mark is called according to the log information is obtained, the recalls information includes whole
In individual service call link each call the corresponding allocating time of node, Service name, call it is time-consuming, call source-information and call
Relation；
By the recalls information and described tracking mark correspondence storage is called in database；
Each calls the tracking corresponding recalls information of mark in analytical database, obtains each in whole service calling system
Call relation between individual node, and each node call parameters.
Alternatively, by the recalls information and it is described call tracking mark correspondence storage in database, including：
Tracking is called to be designated row/column keyword with described, to call nodal information as column/row keyword, correspondence storage
The recalls information, and call the sequencing of node to call tracking mark is corresponding calls with described described in the database
Relationship consistency.
Alternatively, methods described also includes：
Indexed for the recalls information is created, the index includes Service name, calls time-consuming, abnormal information and called side to believe
Breath.
Alternatively, it is described to call tracking to identify corresponding recalls information according to the log information is obtained, including：
According to the allocating time information calculate each node it is corresponding call it is time-consuming；
Analysis bag containing the whole log informations for calling and following the trail of and identify, obtain it is described call tracking mark it is corresponding each
Call relation between node；
Analysis bag obtains described calling that tracking mark is corresponding to be called containing the whole log informations for calling and following the trail of and identify
Source-information.
Alternatively, each calls the corresponding recalls information of tracking mark in the analytical database, is entirely serviced
Call relation between each node in calling system, and each node call parameters, including：
Call tracking to be designated unit to read corresponding recalls information from the database with described；
The corresponding recalls information of tracking mark is called described in parsing, the call-tree with dependence is obtained, it is described to call
The value of each node includes call number, frequency of abnormity and calls time-consuming in tree；
Value to each node in the call-tree carries out polymerization analysis, obtains query rate per second, averagely takes, calls pass
It is and calls source.
Alternatively, the log information for obtaining the service invocation request, including：
The corresponding log information of the service invocation request is read from log information queue, in the log information queue
Information obtained by the collection of burying for being arranged on the contextual information of client and service end.
Second aspect, the application provides a kind of service call link analysis system, is applied to service end, including：
Data acquisition module, the corresponding log information for obtaining service invocation request, the log information includes institute
State and call tracking mark, Service name, call type, allocating time information, call nodal information, call result and abnormal information,
It is described to call tracking mark to be corresponded with the service invocation request, and described calling follows the trail of mark in service invocation request pair
That answers calls transmission in link；
Real-time processing module, for calling the corresponding recalls information of tracking mark described in being obtained according to the log information,
The recalls information include whole service call link in each call the corresponding allocating time of node, Service name, call it is time-consuming,
Call source-information and call relation；
Data memory module, for by the recalls information and described calling tracking mark correspondence storage in database；
Off-line analysis module, in analytical database each call the tracking corresponding recalls information of mark, obtain whole
Call relation between each node in individual service calling system, and each node call parameters.
Alternatively, the data memory module specifically for：
Tracking is called to be designated row/column keyword with described, to call nodal information as column/row keyword, correspondence storage
The recalls information, and call the sequencing of node to call tracking mark is corresponding calls with described described in the database
Relationship consistency.
Alternatively, the system also includes：
Index creation module, for be the recalls information create index, it is described index include Service name, call it is time-consuming,
Abnormal information and called side information.
Alternatively, the off-line analysis module specifically for：
Call tracking to be designated unit to read corresponding recalls information from the database with described；
The corresponding recalls information of tracking mark is called described in parsing, the call-tree with dependence is obtained, it is described to call
The value of each node includes call number, frequency of abnormity and calls time-consuming in tree；
Value to each node in the call-tree carries out polymerization analysis, obtains query rate per second, averagely takes, calls pass
It is and calls source.
The service call link analysis method that the embodiment of the present application is provided, the service that service end receives client transmission is adjusted
After with request, generate unique corresponding the calling of the service invocation request and follow the trail of mark, and this calls tracking mark entirely calling
Transmitted in link.Service end is obtained and calls corresponding whole log informations, then, log information process is obtained this and is called
The corresponding recalls information of mark is followed the trail of, and by recalls information storage to database.Finally, stored in off-line analysis database
Recalls information, obtain call relation and call parameters between each node in whole service calling system.The method will be adjusted
With in relation data storage storehouse, off-line analysis then is carried out to the data in database, obtain the tune of whole service calling system
With relation, call the information such as time-consuming, dependency degree.So as to the performance bottleneck in next step Analysis Service calling system and carry out excellent
Change.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
The accompanying drawing to be used needed for having technology description is briefly described, it should be apparent that, drawings in the following description are the present invention
Some embodiments, for those of ordinary skill in the art, on the premise of not paying creative work, can also basis
These accompanying drawings obtain other accompanying drawings.
Fig. 1 is a kind of configuration diagram of typical service system；
Fig. 2 is a kind of service call link analysis method flow diagram of the embodiment of the present application；
Fig. 3 is the flow chart of the embodiment of the present application another kind service call link analysis method；
Fig. 4 is a kind of schematic diagram of service call link analysis system of the embodiment of the present application；
Fig. 5 is the schematic diagram of the embodiment of the present application another kind service call link analysis system.
Specific embodiment
To make the purpose, technical scheme and advantage of the embodiment of the present invention clearer, below in conjunction with the embodiment of the present invention
In accompanying drawing, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is
A part of embodiment of the present invention, rather than whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art
The every other embodiment obtained under the premise of creative work is not made, belongs to the scope of protection of the invention.
Fig. 1 is referred to, a kind of typical service architecture schematic diagram is shown, the service system includes six micro services difference
It is：A, B, C, D, E and F.For example, comprising 3 micro services routes in the service system：New user's registration is by micro services A, B, C and E
Realize, wherein, the call relation between micro services is that A calls B, B to call C, C to call E；Place an order by micro services A, B, C and D reality
It is existing；Pay by micro services A, B, C, D and F are realized.
The call relation of complexity is there is in micro services framework, between micro services, causes the developer of system to be all difficult
Make the call relation between micro services in whole micro services system clear, when it is whole call link performance bottleneck occur when, it is difficult to
Which node is positioning go wrong on.Service call link analysis method provided in an embodiment of the present invention, collects invoked procedure
In recalls information, and store in database, then, off-line analysis is carried out to the recalls information in database, obtain whole
The call relation of service system, call the information such as time-consuming.So as to the performance according to the whole service calling system of these information analyses
Bottleneck is simultaneously optimized.
Fig. 2 is referred to, a kind of service call link analysis method flow diagram of the embodiment of the present application, the method application is shown
In service end, as shown in Fig. 2 the method may comprise steps of：
S110, obtains the log information of service invocation request；
The log information includes described calling tracking mark, Service name, call type, allocating time information, calling section
Point information, call result and abnormal information.
After service end in service system receives the service invocation request that client sends, generation please with the service call
Asking uniquely corresponding calls tracking to identify, that is, call tracking mark and service invocation request to correspond, and call tracking to identify
Service invocation request is corresponding call link in transmit.
Client and service end in service system are respectively provided with buries a little, by burying the number in a collection service invocation procedure
According to.The four-stage that data bury a little includes：Point, service end are buried when burying point, service end reception request during client initiation request to return
To return hospitality buried when asking when point, client receive request and bury a little.
Each buries the data is activation that will a little collect to data collection module.Wherein, daily record data includes：Tracking is called to mark
Know, call time started, call type, protocol type, called side IP and port, request Service name, call it is time-consuming, call knot
Really, the information such as abnormal information and message packet.
S120, calls the corresponding recalls information of tracking mark according to the log information is obtained；The recalls information
Including in whole service call link each call the corresponding allocating time of node, Service name, call it is time-consuming, call source-information
And call relation.
The log information being collected into is analyzed in real time, and the corresponding recalls information of tracking mark, the recalls information bag are called in acquisition
Include：Allocating time, call and time-consuming call source-information and the whole call relation for calling link.
Wherein, call it is time-consuming by calculating call the time started and receive call result between the time difference obtain.
In a kind of possible implementation of the application, it is possible to use Storm clusters read data and go forward side by side from message queue
Row Treatment Analysis are filtered, and improve the concurrency performance of system.
S130, by the recalls information and described calls tracking mark correspondence storage in database.
It is row to call nodal information (for example, calling node ID) to call tracking to be designated row (or row) keyword
(OK) keyword, is corresponding by row/column defined location to call tracking mark and call the recalls information corresponding to node
Data message.
And, call the sequencing of node consistent with the call relation in link is called described in the database.Example
Such as, the call relation for entirely calling link is A-C-D-E-F, then the order that node ID is called when storing is A-C-D-E-F.
S140, each calls the corresponding recalls information of tracking mark in analytical database, obtains whole service call system
Call relation between each node in system, and each node call parameters.
In a kind of possible implementation of the application, call tracking to be designated unit to read from the database with described
Take corresponding recalls information；The corresponding recalls information of tracking mark is called described in parsing, the call-tree with dependence is obtained,
The value of each node includes call number, frequency of abnormity and calls time-consuming in the call-tree；To each section in the call-tree
The value of point carries out polymerization analysis, obtains query rate per second, average time-consuming, call relation and calls source.
For example, off-line analysis is carried out to the data in HBase clusters using Hadoop clusters, wherein, using Hadoop
MapReduce reads data from HBase and carries out off-line analysis, in the map stages, calls the link to be with single from HBase
Unit read data, then parse, composition with dependence call-tree, with call number, frequency of abnormity, call it is time-consuming etc.
Information writes reduce as value；Polymerization analysis is carried out to data in the reduce stages, QPS (Query Per are obtained
Second, query rate per second), average time-consuming, dependence, call the information such as source.
The service call link analysis method that the embodiment of the present application is provided, the service that service end receives client transmission is adjusted
After with request, generate unique corresponding the calling of the service invocation request and follow the trail of mark, and this calls tracking mark entirely calling
Transmitted in link.Service end is obtained and calls corresponding whole log informations, then, log information process is obtained this and is called
The corresponding recalls information of mark is followed the trail of, and by recalls information storage to database.Finally, stored in off-line analysis database
Recalls information, obtain call relation and call parameters between each node in whole service calling system.The method will be adjusted
With in relation data storage storehouse, off-line analysis then is carried out to the data in database, obtain the tune of whole service calling system
With relation, call the information such as time-consuming, dependency degree.So as to the performance bottleneck in next step Analysis Service calling system and carry out excellent
Change.
Fig. 3 is referred to, the flow chart of the embodiment of the present application another kind service call link analysis method, the method is shown
It is applied to service end.The present embodiment is further comprising the steps of on the basis of embodiment illustrated in fig. 2：
S210, using ElasticSearch be recalls information create index, it is described index include Service name, call it is time-consuming,
Abnormal information and called side information.
ElasticSearch is a search server based on Lucene, and it provides a distributed multi-user energy
The full-text search engine of power.
When being that recalls information creates index using ElasticSearch, index is set up in units of whole link, only needed
Want the data of root node in a service call link.Therefore, it is necessary to filter out kafka when to log information real-time processing
Non-root node data in queue, obtain root knot point data.And, the number required by two stages of real-time processing and index creation
Differed according to form, accordingly, it would be desirable to the data after real-time processing are entered with row format conversion.
In the real-time processing stage, data are read from kafka queues and ineligible data, then, logarithm are filtered out
Time-consuming, analysis is called to call source combined message, and analysis result is supplied to according to row format conversion, calculating is entered
ElasticSearch。
ElasticSearch create index can be entirely call link Service name, call time-consuming, allocating time,
The information such as abnormal information, ID, user can utilize these search indexs to call the tracking of calling in list of link to identify, so
Afterwards, follow the trail of mark and this is searched from data memory module call the corresponding recalls information of link using calling.
The service call link analysis method that the present embodiment is provided, the recalls information to being obtained after real-time processing creates service
Link index is called, search efficiency is improved, is identified from the database of storage recalls information according to the tracking of calling that inquiry is obtained
Inquiry obtains the corresponding data of service call link.
For foregoing each method embodiment, in order to be briefly described, therefore it is all expressed as a series of combination of actions, but
It is that those skilled in the art should know, the present invention is not limited by described sequence of movement, because according to the present invention, certain
A little steps can sequentially or simultaneously be carried out using other.Secondly, those skilled in the art should also know, be retouched in specification
The embodiment stated belongs to preferred embodiment, necessary to involved action and the module not necessarily present invention.
Corresponding to above-mentioned service call link analysis embodiment of the method, present invention also provides service call link analysis
System embodiment.
Fig. 4 is referred to, a kind of schematic diagram of service call link analysis system of the embodiment of the present application is shown, such as Fig. 4 institutes
Show, the system includes data acquisition module 110, real-time processing module 120, data memory module 130 and off-line analysis module
140, wherein, data acquisition module 110 includes burying a little and data collection module.
Data acquisition module 110, the log information for obtaining service invocation request.
It is provided with client and service end and is buried a little, by buries the daily record data in a collection service invocation procedure；Number
Include according to the four-stage for burying a little：Client is initiated to be buried during request and point, service end return request is buried when point, service end receive request
When bury point, client receive request when bury a little.
Each buries the data is activation that will a little collect to data collection module.Wherein, daily record data includes：Tracking is called to mark
Know, call time started, call type, protocol type, called side IP and port, request Service name, call it is time-consuming, call knot
Really, the information such as abnormal information and message packet.
The daily record data being a little collected into that buries of client and service end is supplied to data collection module, wherein, Data Collection
Module is kafka queues.Kafka queues are the distributed Message Queuing systems developed by Linkedin.By burying a little
Kakfa queues are sent data to, engineering decoupling is realized, message asynchronous transmission improves concurrent.
In order to mitigate the influence for uploading daily record data to business, service call link analysis system is reported to using asynchronous system
The backstage of system.
Real-time processing module 120, for calling described in being obtained according to the log information, tracking mark is corresponding to call letter
Breath, each calls the corresponding allocating time of node, Service name, calls consumption during the recalls information includes whole service call link
When, call source-information and call relation.
Real-time processing module 120 can realize that Storm is applied to the potential unlimited streaming number for the treatment of by storm clusters
According to.Data are read from message queue and carry out Treatment Analysis filtering, improve the concurrency performance of system.
Real-time processing module 120 reads data from kafka queues and carries out real-time processing, and main processes include：
The time-consuming and analysis of calling for filter out ineligible data (for example, filtering repeated data), calculating each node is called
Origination message etc., and by the result storage after treatment to data memory module 130.
Data memory module 130 realizes that the data in data memory module follow the trail of mark work to call using HBase clusters
It is row (or row) keyword, calls node ID as column (or row) keyword, and, call the sequencing i.e. node of node ID
Call order, so, the link that calls of a whole piece can be aggregating.
Off-line analysis module 140, in analytical database each call the tracking corresponding recalls information of mark, obtain
Call relation between each node in whole service calling system, and each node call parameters.
In a kind of possible implementation of the application, off-line analysis module 140 can be realized by Hadoop clusters.
Hadoop is a distributed system architecture developed by Apache funds club.User can not know about
In the case of distributed low-level details, distributed program is developed, making full use of the power of cluster carries out high-speed computation and storage.
The design of Hadoop framework cores is：HDFS (Hadoop Distributed File System, Hadoop distributed field systems
System) and MapReduce.HDFS provides storage for the data of magnanimity, and MapReduce provides calculating for the data of magnanimity,
MapReduce is a kind of programming model, for the concurrent operation of large-scale dataset (being more than 1TB).
In a kind of possible implementation of the application, data are read simultaneously from HBase using Hadoop MapReduce
Carry out off-line analysis, in the map stages, from HBase by it is single call link in units of read data, then parse, composition tool
There is the call-tree of dependence, using call number, frequency of abnormity, call the information such as time-consuming to write reduce as value；
The reduce stages carry out polymerization analysis to data, obtain QPS (Query Per Second, query rate per second), it is average time-consuming, according to
Rely relation, call source etc. information.
The service call link analysis system that the embodiment of the present application is provided, the service that service end receives client transmission is adjusted
After with request, generate unique corresponding the calling of the service invocation request and follow the trail of mark, and this calls tracking mark entirely calling
Transmitted in link.Service end is obtained and calls corresponding whole log informations, then, log information process is obtained this and is called
The corresponding recalls information of mark is followed the trail of, and by recalls information storage to database.Finally, stored in off-line analysis database
Recalls information, obtain call relation and call parameters between each node in whole service calling system.Using the device
By in call relation data storage storehouse, off-line analysis then is carried out to the data in database, obtain whole service calling system
Call relation, call the information such as time-consuming, dependency degree.So as to the performance bottleneck in next step Analysis Service calling system and carry out
Optimization.
Fig. 5 is referred to, the schematic diagram of the embodiment of the present application another kind service call link analysis system, this implementation is shown
Example can also include index creation module 160 on the basis of embodiment illustrated in fig. 2.
Index creation module 160, receives the data result after real-time processing module treatment, and create rope to data result
Draw.
Index creation module 160 realizes that ElasticSearch is one and is based on using elasticsearch clusters
The search server of Lucene, it provides a full-text search engine for distributed multi-user ability.
When index creation module is that recalls information creates index, index is set up in units of whole link, it is only necessary to one
The data of root node in service call link, therefore, real-time processing module 130 needs to filter out the non-root knot in kafka queues
Point data, obtains root knot point data.And, the data form required by real-time processing module and index creation module is differed,
Accordingly, it would be desirable to real-time processing module enters row format conversion to the data after treatment.
Real-time processing module 130 reads data from kafka queues and filters out ineligible data, then, right
Data enter row format conversion, calculate and call time-consuming, analysis to call source combined message, and analysis result is write into index creation mould
In block 160.
The index of index creation module creation can entirely be called the Service name of link, call time-consuming, allocating time, different
The information such as normal information, ID, user can utilize these search indexs to call the tracking of calling in list of link to identify, so
Afterwards, follow the trail of mark and this is searched from data memory module call the corresponding recalls information of link using calling.
The service call link analysis system that the present embodiment is provided, the recalls information to being obtained after real-time processing creates service
Link index is called, search efficiency is improved, is identified from the database of storage recalls information according to the tracking of calling that inquiry is obtained
Inquiry obtains the corresponding data of service call link.
It should be noted that each embodiment in this specification is described by the way of progressive, each embodiment weight
Point explanation is all difference with other embodiment, between each embodiment identical similar part mutually referring to.
For device class embodiment, because it is substantially similar to embodiment of the method, so description is fairly simple, related part ginseng
See the part explanation of embodiment of the method.
Finally, in addition it is also necessary to explanation, herein, such as first and second or the like relational terms be used merely to by
One entity or operation make a distinction with another entity or operation, and not necessarily require or imply these entities or operation
Between there is any this actual relation or order.And, term " including ", "comprising" or its any other variant meaning
Covering including for nonexcludability, so that process, method, article or equipment including a series of key elements not only include that
A little key elements, but also other key elements including being not expressly set out, or also include for this process, method, article or
The intrinsic key element of equipment.In the absence of more restrictions, the key element limited by sentence "including a ...", does not arrange
Except also there is other identical element in the process including the key element, method, article or equipment.
The foregoing description of the disclosed embodiments, enables those skilled in the art to realize or uses the present invention.To this
Various modifications of a little embodiments will be apparent for a person skilled in the art, and generic principles defined herein can
Without departing from the spirit or scope of the present invention, to realize in other embodiments.Therefore, the present invention will not be limited
It is formed on the embodiments shown herein, and is to fit to consistent with principles disclosed herein and features of novelty most wide
Scope.
The above is only the preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art
For member, under the premise without departing from the principles of the invention, some improvements and modifications can also be made, these improvements and modifications also should
It is considered as protection scope of the present invention.
Claims (10)
1. a kind of service call link analysis method, is applied to service end, it is characterised in that including：
Obtain the corresponding log information of service invocation request, the log information include it is described call tracking mark, Service name,
Call type, allocating time information, call nodal information, call result and abnormal information, it is described call tracking mark with it is described
Service invocation request correspond, and it is described call tracking mark service invocation request is corresponding call link in transmit；
The corresponding recalls information of tracking mark, the recalls information are called according to the log information is obtained includes whole clothes
Business call in link each call the corresponding allocating time of node, Service name, call it is time-consuming, call source-information and call pass
System；
By the recalls information and described tracking mark correspondence storage is called in database；
Each calls the corresponding recalls information of tracking mark in analytical database, obtains each section in whole service calling system
Point between call relation, and each node call parameters.
2. method according to claim 1, it is characterised in that by the recalls information and described call tracking mark correspondence
In storing database, including：
Tracking is called to be designated row/column keyword with described, to call nodal information as column/row keyword, correspondence storage is described
Recalls information, and call the sequencing of node to call the tracking corresponding call relation of mark with described described in the database
Unanimously.
3. method according to claim 1, it is characterised in that methods described also includes：
Indexed for the recalls information is created, the index includes Service name, calls time-consuming, abnormal information and called side information.
4. method according to claim 1, it is characterised in that described that tracking is called according to the log information is obtained
Corresponding recalls information is identified, including：
According to the allocating time information calculate each node it is corresponding call it is time-consuming；
Analysis bag contains the whole log informations for calling and following the trail of and identify, and obtains described calling and follows the trail of corresponding each node of mark
Between call relation；
Analysis bag obtains described calling that tracking mark is corresponding to call source containing the whole log informations for calling and following the trail of and identify
Information.
5. method according to claim 1, it is characterised in that each calls tracking mark right in the analytical database
The recalls information answered, obtain in whole service calling system call relation between each node, and each node calls ginseng
Number, including：
Call tracking to be designated unit to read corresponding recalls information from the database with described；
The corresponding recalls information of tracking mark is called described in parsing, the call-tree with dependence is obtained, in the call-tree
The value of each node includes call number, frequency of abnormity and calls time-consuming；
Value to each node in the call-tree carries out polymerization analysis, obtain query rate per second, average time-consuming, call relation and
Call source.
6. method according to claim 1, it is characterised in that the log information of the acquisition service invocation request,
Including：
The corresponding log information of the service invocation request, the letter in the log information queue are read from log information queue
Breath is obtained by the collection of burying for being arranged on the contextual information of client and service end.
7. a kind of service call link analysis system, is applied to service end, it is characterised in that including：
Data acquisition module, the corresponding log information for obtaining service invocation request, the log information includes the tune
It is described with following the trail of mark, Service name, call type, allocating time information, calling nodal information, call result and abnormal information
Call tracking identify and the service invocation request correspond, and it is described call tracking mark it is corresponding in service invocation request
Call transmission in link；
Real-time processing module, it is described for calling the corresponding recalls information of tracking mark described in being obtained according to the log information
Recalls information include whole service call link in each call the corresponding allocating time of node, Service name, call it is time-consuming, call
Source-information and call relation；
Data memory module, for by the recalls information and described calling tracking mark correspondence storage in database；
Off-line analysis module, in analytical database each call the tracking corresponding recalls information of mark, entirely taken
Call relation between each node in business calling system, and each node call parameters.
8. system according to claim 7, it is characterised in that the data memory module specifically for：
Tracking is called to be designated row/column keyword with described, to call nodal information as column/row keyword, correspondence storage is described
Recalls information, and call the sequencing of node to call the tracking corresponding call relation of mark with described described in the database
Unanimously.
9. system according to claim 7, it is characterised in that the system also includes：
Index creation module, for being indexed for the recalls information is created, the index includes Service name, calls time-consuming, exception
Information and called side information.
10. system according to claim 7, it is characterised in that the off-line analysis module specifically for：
Call tracking to be designated unit to read corresponding recalls information from the database with described；
The corresponding recalls information of tracking mark is called described in parsing, the call-tree with dependence is obtained, in the call-tree
The value of each node includes call number, frequency of abnormity and calls time-consuming；
Value to each node in the call-tree carries out polymerization analysis, obtain query rate per second, average time-consuming, call relation and
Call source.
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