CN116016262A - Method and device for detecting call chain consistency in real time based on union - Google Patents
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Abstract
The invention provides a method and a device for detecting call chain continuity in real time based on union collection, which comprises the following steps of S1: executing business logic by an application, and generating Span data by the agent; step S2: agent marks Span whether leaf nodes or not; step S3: the agent uploads Span data in batches; step S4: the analysis platform receives Span data; step S5: the analysis platform carries out continuity detection on Span in real time; step S6: the analysis platform carries out integrity detection on Span in real time; step S7: the analysis platform executes the call chain decision, so that the defect of tail coherent sampling is overcome, the consumption of the memory of the analysis node is effectively reduced, the analysis delay is reduced, and the performance and stability of platform service are improved.
Description
Technical Field
The invention belongs to the field of data analysis, and more particularly belongs to the technical field of micro-service architecture multilink call chain detection sampling.
Background
As internet services expand and architectures upgrade, systems become increasingly complex, and more systems begin to go to distribution. Distributed Tracing distributed call chaining is one of the most common means for monitoring the performance of distributed applications, consisting of a series of Span segments, recording the complete call chaining from user requests to distributed services. Through analysis of the call chain, performance monitoring of the application can be realized, the root of the service performance problem of the large-scale distributed application can be quickly found, and the availability of the distributed application is obviously improved.
Currently, there are many open source systems for implementing trace analysis for call chains, such as jaeger, zikpin, elasticapm, pinpoint, skywalking, and as application traffic increases, link data increases. The full-quantity acquisition mode brings calculation and storage pressure to the monitoring service, and the full-quantity storage of call chain data which is rarely accessed daily is also a waste of storage resources, and the sampling is the fastest and mainstream mode for solving the problems at present. Common approaches include both head consecutive samples and tail consecutive samples. The basic idea of head coherent sampling is to determine whether the whole link is reserved according to a proportion algorithm when an entrance service receives a request, the probability of hitting an abnormal call chain and a slow response call chain is low, the basic idea of tail coherent sampling is to buffer all Span data of the same link, then make business decisions on the whole link, such as determining whether to store the call chain according to a request result state code or whether an abnormality occurs, needing to store data for a certain time, consuming memory resources and causing delay in analysis, and then, for example, a link tracking sampling method and system, the patent proposes to judge whether the sampling rate condition is met through a request sequence, judge whether the sampling rate condition is met through a sampling feature to sample, essentially, by combining traditional head and tail sampling, firstly randomly eliminate most call chains through head sampling, then make decisions on the eliminated call chains through a tail sampling method, and reserve the call chains meeting the feature condition. The patent does not optimize the probability of head sampling hit exception and slow response call chains to be low, nor does it optimize the memory resource consumption and delay problems of tail sampling.
Aiming at the problems, the invention aims at optimizing tail coherent sampling, adopts a union algorithm based on expansion to sample in real time, relieves the pressure of analysis nodes, and can improve the performance and stability of the server
Disclosure of Invention
The present invention has been made in view of the above-described problems.
According to one aspect of the invention, a method for detecting call chain continuity in real time based on union collection is provided, and the method comprises the following steps:
step S1: executing business logic by an application, and generating Span data by the agent;
step S2: agent marks Span whether leaf nodes or not;
step S3: the agent uploads Span data in batches;
step S4: the analysis platform receives Span data;
step S5: the analysis platform carries out continuity detection on Span in real time;
step S6: the analysis platform carries out integrity detection on Span in real time;
step S7: the analysis platform performs call chain decisions.
The invention also provides a device for detecting call chain consistency in real time based on the union, which comprises:
the generation module is used for: executing business logic by an application, and generating Span data by the agent;
and a marking module: agent marks Span whether leaf nodes or not;
and an uploading module: the agent uploads Span data in batches;
and a receiving module: the analysis platform receives Span data;
detection module 1: the analysis platform carries out continuity detection on Span in real time;
detection module 2: the analysis platform carries out integrity detection on Span in real time;
the execution module: the analysis platform performs call chain decisions.
Compared with the prior art, the application has the following beneficial effects:
compared with the prior art, the method and the device have the advantages that the continuity and the integrity of the calling chain can be accurately detected in real time, meanwhile, the consumption of memory resources can be obviously reduced, and the analysis and statistics performance is improved.
Drawings
The above and other objects, features and advantages of the present invention will become more apparent from the following more particular description of embodiments of the present invention, as illustrated in the accompanying drawings. The accompanying drawings are included to provide a further understanding of embodiments of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, and not constitute a limitation to the invention. In the drawings, like reference numerals generally refer to like parts or steps.
FIG. 1 illustrates an exemplary block diagram of concurrent-collection-based real-time detection in accordance with one embodiment of the present invention;
FIG. 2 shows a visualized call chain Span presentation illustration in accordance with one embodiment of the invention;
FIG. 3 illustrates a primary flow diagram for detecting call chain continuity in real time, according to one embodiment of the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, exemplary embodiments according to the present invention will be described in detail with reference to the accompanying drawings. It should be apparent that the described embodiments are only some embodiments of the present invention and not all embodiments of the present invention, and it should be understood that the present invention is not limited by the example embodiments described herein. Based on the embodiments of the invention described in the present application, all other embodiments that a person skilled in the art would have without inventive effort shall fall within the scope of the invention.
Embodiment one:
in general, a complete call chain data is created and reported by each system respectively, and meanwhile, the traditional Span specification only defines whether a father node Span exists or not, and lacks definition of whether a child node Span exists or not, so when the Span is reported to a service platform in a traditional manner, the service platform cannot judge whether the Span contains child nodes or not, and cannot judge whether the child Span of the currently reported Span is reported or not in real time, so that whether the call chain is complete or not cannot be judged in real time.
In order to solve the problems, a method and a device for detecting call chain consistency in real time based on union collection are provided. Specifically, the technical scheme of the invention is that whether the Span has a sub Span is judged by adding a Span leaf node isLeaf identifier, meanwhile, whether the currently reported call chain meets consistency and integrity is judged by combining and checking a collection algorithm, when the Span is reported by each application, the root Span of the Span is searched recursively according to the Parentspan Id of the Span, whether all spans of the service platform have the same root Span is detected, if the same root Span indicates that all spans of the current service platform are mutually communicated, consistency detection is met, and then whether all non-leaf node spans find the corresponding sub Span is judged, and when the condition is met, the current call chain is considered to meet the integrity requirement.
Noun parsing is as follows:
trace: a call chain, which generates a final result response from a user initiated request to each inter-call between the micro services, generates a plurality of call records in the process, and the combination of the call records is called a complete call chain data, wherein the plurality of call records identify the call chain to which the same traceId belongs.
Span: call records, also called spans, record information of a call, including TraceId, spanId, parentSpanId, call service name, timestamp, input/output parameters, execution exception information, etc., and the call is generally divided into an intra-system call and an inter-RPC system call.
System internal call: typically, are method calls within the same thread that pass the TraceId information of the call chain through ThreadLocal.
RPC intersystem call: cross-system calls, commonly referred to as Http, dubbo, pass the TraceId information through a specific protocol.
Based on the above situation, the application provides a method for detecting call chain consistency in real time based on union collection.
Referring to fig. 3 specifically, a method for detecting call chain continuity based on union real-time detection according to an embodiment of the present invention includes:
step S1: executing business logic by an application, and generating Span data by the agent;
step S2: agent marks Span whether leaf nodes or not;
step S3: the agent uploads Span data in batches;
step S4: the analysis platform receives Span data;
step S5: the analysis platform carries out continuity detection on Span in real time;
step S6: the analysis platform carries out integrity detection on Span in real time;
step S7: the analysis platform performs call chain decisions.
As an example, a specific method is as follows: the user initiated request generation call chain data structure is as follows:
| current Span | Application of the genus | Father Span | Status of isLeaf |
| 1 | |
1 | False |
| 2 | |
1 | False |
| 3 | |
2 | True |
| 4 | |
1 | False |
| 5 | Application C | 4 | True |
The reporting Span time of each application cannot be determined, and may be (A, B, C), or (B, C, A), (C, B, A), (A, C, B), etc.
Taking the reporting sequence (A, B, C) as an example, the A firstly reports Span1, span2 and Span4 data to the service platform, and the service platform analyzes that all the currently reported Span reachable root nodes are Span1 by utilizing a union algorithm, so that the call chain consistency requirement is met:
| node | Span1 | Span2 | Span4 |
| Root node | Span1 | Span1 | Span1 |
| Whether or not to reach | True | True | True |
With isLeaf state analysis, the sub Span cannot be found due to Span2 and Span4, and the integrity requirement is not satisfied:
| node | Span1 | Span2 | Span4 |
| Whether or not leaf node | False | False | False |
| Presence child node | True | False | False |
After receiving Span reported by the B, the service platform detects the continuity state, and meets the continuity requirement as follows:
detecting the integrity state by using the isLeaf state, because Span4 cannot find the child Span, the integrity requirement is not satisfied:
after receiving Span reported by C, the service platform detects continuity state, and meets the continuity requirement as follows:
detecting an integrity state by using the isLeaf state, and meeting the integrity requirement:
and according to the consistency and integrity state judgment, the service platform detects that all Span data are reported by the current call chain in real time, and further can carry out subsequent sampling decision analysis.
The invention solves the defect of tail coherent sampling, effectively reduces the consumption of the memory of the analysis node, reduces the analysis delay and improves the performance and stability of platform service.
Embodiment two:
the invention also provides a device for detecting call chain consistency in real time based on the union, which comprises:
the generation module is used for: executing business logic by an application, and generating Span data by the agent;
and a marking module: agent marks Span whether leaf nodes or not;
and an uploading module: the agent uploads Span data in batches;
and a receiving module: the analysis platform receives Span data;
detection module 1: the analysis platform carries out continuity detection on Span in real time;
detection module 2: the analysis platform carries out integrity detection on Span in real time;
the execution module: the analysis platform performs call chain decisions.
As an example, a specific apparatus performs the following method: the user initiated request generation call chain data structure is as follows:
| current Span | Application of the genus | Father Span | Status of |
| 1 | |
1 | |
| 2 | |
1 | |
| 3 | |
2 | True |
| 4 | |
1 | False |
| 5 | Application C | 4 | True |
The reporting Span time of each application cannot be determined, and may be (A, B, C), or (B, C, A), (C, B, A), (A, C, B), etc.
Taking the reporting sequence (A, B, C) as an example, the A firstly reports Span1, span2 and Span4 data to the service platform, and the service platform analyzes that all the currently reported Span reachable root nodes are Span1 by utilizing a union algorithm, so that the call chain consistency requirement is met:
| node | Span1 | Span2 | Span4 |
| Root node | Span1 | Span1 | Span1 |
| Whether or not to reach | True | True | True |
With isLeaf state analysis, the sub Span cannot be found due to Span2 and Span4, and the integrity requirement is not satisfied:
after receiving Span reported by the B, the service platform detects the continuity state, and meets the continuity requirement as follows:
| node | Span1 | Span2 | Span4 | Span3 |
| Root node | Span1 | Span1 | Span1 | Span1 |
| Whether or not to reach | True | True | True | True |
Detecting the integrity state by using the isLeaf state, because Span4 cannot find the child Span, the integrity requirement is not satisfied:
after receiving Span reported by C, the service platform detects continuity state, and meets the continuity requirement as follows:
detecting an integrity state by using the isLeaf state, and meeting the integrity requirement:
and according to the consistency and integrity state judgment, the service platform detects that all Span data are reported by the current call chain in real time, and further can carry out subsequent sampling decision analysis.
The method for detecting the call chain continuity based on the parallel collection real-time detection provided by the invention realizes accurate analysis of the call chain integrity, improves the high concurrency scene analysis statistical performance, overcomes the defect of tail consecutive sampling, effectively reduces the consumption of analysis node memory, reduces analysis delay, and improves the performance and stability of platform service.
Although the illustrative embodiments have been described herein with reference to the accompanying drawings, it is to be understood that the above illustrative embodiments are merely illustrative and are not intended to limit the scope of the present invention thereto. Various changes and modifications may be made therein by one of ordinary skill in the art without departing from the scope and spirit of the invention. All such changes and modifications are intended to be included within the scope of the present invention as set forth in the appended claims.
In the description provided herein, numerous specific details are set forth. However, it is understood that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in order to streamline the invention and aid in understanding one or more of the various inventive aspects, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof in the description of exemplary embodiments of the invention. However, the method of the present invention should not be construed as reflecting the following intent: i.e., the claimed invention requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention. It will be understood by those skilled in the art that all of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or units of any method or apparatus so disclosed, may be combined in any combination, except combinations where the features are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings), may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Furthermore, those skilled in the art will appreciate that while some embodiments described herein include some features but not others included in other embodiments, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the claims, any of the claimed embodiments may be used in any combination.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The use of the words first, second, third, etc. do not denote any order. These words may be interpreted as names.
The foregoing description is merely illustrative of specific embodiments of the present invention and the scope of the present invention is not limited thereto, and any person skilled in the art can easily think about variations or substitutions within the scope of the present invention. The protection scope of the invention is subject to the protection scope of the claims.
Claims (2)
1. A method for detecting call chain consistency in real time based on a union, the method comprising:
step S1: executing business logic by an application, and generating Span data by the agent;
step S2: agent marks Span whether leaf nodes or not;
step S3: the agent uploads Span data in batches;
step S4: the analysis platform receives Span data;
step S5: the analysis platform carries out continuity detection on Span in real time;
step S6: the analysis platform carries out integrity detection on Span in real time;
step S7: the analysis platform performs call chain decisions.
2. An apparatus for detecting call chain consistency in real time based on a union, the apparatus comprising: the generation module is used for: executing business logic by an application, and generating Span data by the agent;
and a marking module: agent marks Span whether leaf nodes or not;
and an uploading module: the agent uploads Span data in batches;
and a receiving module: the analysis platform receives Span data;
detection module 1: the analysis platform carries out continuity detection on Span in real time;
detection module 2: the analysis platform carries out integrity detection on Span in real time;
the execution module: the analysis platform performs call chain decisions.
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