CN117112680A - Data association system based on multi-level micro-service - Google Patents
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Abstract
The invention relates to the field of data processing, in particular to a data association system based on multi-level micro-services, which comprises the following steps when a computer program is executed by a processor: according to the standard micro-interface identification set and the attribute identification set, a target identification set corresponding to the original data set is obtained, the original data is updated into target data according to the original identification set and the target identification set, the target data set is obtained, the statistics data set corresponding to the micro-service set is further obtained by combining the micro-interface set and uploaded to a preset database of a target platform, the target identification is obtained by combining the standard micro-interface identification and the attribute identification, a data basis is provided for verifying the association relation between the original data and the micro-interface and the micro-service, the association relation between the original data and the micro-interface and the micro-service is accurately represented according to the comparison result between the target identification and the original identification, and the accuracy of the statistics data set corresponding to the topological structure of the multi-level micro-service and the micro-interface is further improved.
Description
Technical Field
The invention relates to the field of data processing, in particular to a data association system based on multi-level micro-services.
Background
Along with development of micro-services and micro-interfaces, data are collected on a platform, and service interfaces with standard specifications are unified, so that upper-layer applications and lower-layer internet-of-things equipment are decoupled, longitudinal and transverse linkage of information is primarily realized, and the method has important significance for data summarization tasks of a plurality of upper-layer applications under different requirements of lower-layer applications, wherein the different requirements comprise requirements of different data templates, different data types, different data contents and the like.
As more and more data providers participate in the micro-service environment in a multiplied manner, the micro-service presents the characteristics of sea quantity, mobility and individuation, so that the problems of large time span, low arrangement efficiency, high data error rate, low application degree and the like exist when the data association is manually carried out, and the association efficiency and quality of the data in the multi-level micro-service are lower.
Therefore, how to improve the association quality of data in multi-level micro services is a problem to be solved.
Disclosure of Invention
Aiming at the technical problems, the technical scheme adopted by the invention is a data association system based on multi-level micro-service, which comprises the following steps: database, processor and memory storing computer program, the database includes micro service set A = { A corresponding to target platform 1 ，A 2 ，……，A i ，……，A m Micro interface set b= { B 1 ，B 2 ，……，B i ，……，B m Raw data set c= { C corresponding to } and B 1 ，C 2 ，……，C i ，……，C m Original identification set D= { D corresponding to } and C 1 ，D 2 ，……，D i ，……，D m The generic identification set e= { E corresponding to } C 1 ，E 2 ，……，E i ，……，E m Standard micro interface identification set g= { G 1 ，G 2 ，……，G k ，……，G h }；
Wherein A is i Refers to the ith class of microservices set, A i ={A i1 ，A i2 ，……，A iji ，……，A ini }，A iji Refers to A i The ji < th > microservice of B i Refers to A i Corresponding micro interface set, B i ={B i1 ，B i2 ，……，B iji ，……，B ini }，B iji Refers to A iji Corresponding micro interface set, B iji ={B iji1 ，B iji2 ，……，B ijik ，……，B ijih }，B ijik Refers to A iji Corresponding k-th type micro interface, C i Refers to B i Corresponding raw data set, C i ={C i1 ，C i2 ，……，C iji ，……，C ini }，C iji Refers to B iji Corresponding raw data set, C iji ={C iji1 ，C iji2 ，……，C ijik ，……，C ijih }，C ijik Refers to B ijik Corresponding raw data, D i Refers to B i Corresponding original identification set, D i ={D i1 ，D i2 ，……，D iji ，……，D ini }，D iji Refers to B iji Corresponding original identification set, D iji ={D iji1 ，D iji2 ，……，D ijik ，……，D ijih }，D ijik Refers to B ijik Corresponding original identifier D ijik =(D ijik 1 ，D ijik 2 )，D ijik 1 Refers toB iji Corresponding micro-interface identifier, D ijik 2 Refers to B iji Corresponding genus identifier, E i Refers to C i Corresponding genus identifier, E i ={E i1 ，E i2 ，……，E iji ，……，E ini }，E iji Refers to C iji Corresponding genus identifier, G k Standard micro-interface identification referring to the kth type of micro-interface, i=1, 2, … …, m, m refers to the number of levels of micro-services, ji=1, 2, … …, ni, ni refers to a i Corresponding micro-service quantity, k=1, 2, … …, h, h refers to total type quantity of micro-interfaces;
when the computer program is executed by a processor, the following steps are implemented:
s1, acquiring a target identification set G corresponding to C according to G and E 0 ={G 1 0 ，G 2 0 ，……，G i 0 ，……，G m 0 }, wherein G i 0 Refers to C i Corresponding target identification set G i 0 ={G i1 0 ，G i2 0 ，……，G iji 0 ，……，G ini 0 }，G iji 0 Refers to B iji Corresponding target identification set G iji 0 ={G iji1 0 ，G iji2 0 ，……，G ijik 0 ，……，G ijih 0 }，G ijik 0 Refers to B ijik Corresponding target mark G ijik 0 Meets the following conditions:
G ijik 0 =(G k ，E iji )。
s2, according to D and G 0 If D ijik =(D ijik 1 ，D ijik 2 ) Satisfy D ijik 1 ≠G ijik 0 And D is ijik 2 ≠E iji Then update C ijik g =0。
S3, if D ijik =(D ijik 1 ，D ijik 2 ) Satisfy D ijik 1 =G ijik 0 And D is ijik 2 =E iji Then update C ijik g =C ijik 。
S4, using C ijik g Substitution C of C ijik Acquiring a target data set C g ={C 1 g ，C 2 g ，……，C i g ，……，C m g }, wherein C i g Refers to B i Corresponding target data set, C i g ={C i1 g ，C i2 g ，……，C iji g ，……，C ini g }，C iji g Refers to B iji Corresponding target data set, C iji g ={C iji1 g ，C iji2 g ，……，C ijik g ，……，C ijih g }，C ijik g Refers to B ijik Corresponding target data.
S5, according to B and C g Acquiring a statistical data set C corresponding to A 0 ={C 1 0 ，C 2 0 ，……，C i 0 ，……，C m 0 }, wherein C i 0 Refers to A i Corresponding statistical data set, C i 0 ={C i1 0 ，C i2 0 ，……，C iji 0 ，……，C im 0 }，C iji 0 Refers to A iji Corresponding statistical data set, C iji 0 ={C iji1 0 ，C iji2 0 ，……，C ijik 0 ，……，C ijih 0 }，C ijik 0 Refers to A ijik Corresponding statistical data set, C ijik 0 ={C (i+1)jik g ，C (i+2)jik g ，……，C (i+u)jik g ，……，C mjik g }，u=1，2，……，m-i，C (i+u)ji g ∈C 1 。
S6, C 0 Uploading the data to a preset database of the target platform.
The invention has at least the following beneficial effects: according to G and E, obtaining a target identification set G corresponding to C 0 ={G 1 0 ，G 2 0 ，……，G i 0 ，……，G m 0 According to D and G } 0 If D ijik =(D ijik 1 ，D ijik 2 ) Satisfy D ijik 1 ≠G ijik 0 And D is ijik 2 ≠E iji Then update C ijik g =0, if D ijik =(D ijik 1 ，D ijik 2 ) Satisfy D ijik 1 =G ijik 0 And D is ijik 2 =E iji Then update C ijik g =C ijik Using C ijik g Substitution C of C ijik Acquiring a target data set C g ={C 1 g ，C 2 g ，……，C i g ，……，C m g According to B and C } g Acquiring a statistical data set C corresponding to A 0 ={C 1 0 ，C 2 0 ，……，C i 0 ，……，C m 0 }, C 0 Uploading the data to a preset database of a target platform, acquiring a target identifier by combining a standard micro-interface identifier and a generic identifier, providing a data base for verifying the association relationship between the original data and the micro-interface and micro-service, further accurately characterizing the association relationship between the corresponding original data and the micro-interface and micro-service according to the comparison result between the target identifier and the original identifier, and further improving the accuracy of the statistical data set corresponding to the topological structures of the multi-level micro-service and the micro-interface.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a computer program executed by a data association system based on a multi-level micro service according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to fall within the scope of the invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or server that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed or inherent to such process, method, article, or apparatus, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
As shown in fig. 1, a first embodiment provides a data association system based on a multi-level micro service, including: database, processor and memory storing computer program, the database includes micro service set A = { A corresponding to target platform 1 ，A 2 ，……，A i ，……，A m Micro interface set b= { B 1 ，B 2 ，……，B i ，……，B m Raw data set c= { C corresponding to } and B 1 ，C 2 ，……，C i ，……，C m Original identification set D= { D corresponding to } and C 1 ，D 2 ，……，D i ，……，D m The generic identification set e= { E corresponding to } C 1 ，E 2 ，……，E i ，……，E m Standard micro interface identification set g= { G 1 ，G 2 ，……，G k ，……，G h }；
Wherein A is i Refers to the ith class of microservices set, A i ={A i1 ，A i2 ，……，A iji ，……，A ini }，A iji Refers to A i The ji < th > microservice of B i Refers to A i Corresponding micro interface set, B i ={B i1 ，B i2 ，……，B iji ，……，B ini }，B iji Refers to A iji Corresponding micro interface set, B iji ={B iji1 ，B iji2 ，……，B ijik ，……，B ijih }，B ijik Refers to A iji Corresponding k-th type micro interface, C i Refers to B i Corresponding raw data set, C i ={C i1 ，C i2 ，……，C iji ，……，C ini }，C iji Refers to B iji Corresponding raw data set, C iji ={C iji1 ，C iji2 ，……，C ijik ，……，C ijih }，C ijik Refers to B ijik Corresponding raw data, D i Refers to B i Corresponding original identification set, D i ={D i1 ，D i2 ，……，D iji ，……，D ini }，D iji Refers to B iji Corresponding original identification set, D iji ={D iji1 ，D iji2 ，……，D ijik ，……，D ijih }，D ijik Refers to B ijik Corresponding original identifier D ijik =(D ijik 1 ，D ijik 2 )，D ijik 1 Refers to B iji Corresponding micro-interface identifier, D ijik 2 Refers to B iji Corresponding genus identifier, E i Refers to C i Corresponding genus identifier, E i ={E i1 ，E i2 ，……，E iji ，……，E ini }，E iji Refers to C iji Corresponding genus identifier, G k Standard micro-interface identification referring to the kth type of micro-interface, i=1, 2, … …, m, m refers to the number of levels of micro-services, ji=1, 2, … …, ni, ni refers to a i Corresponding micro-service quantity, k=1, 2, … …, h, h refers to total type quantity of micro-interfaces;
when the computer program is executed by a processor, the following steps are implemented:
s1, acquiring a target identification set G corresponding to C according to G and E 0 ={G 1 0 ，G 2 0 ，……，G i 0 ，……，G m 0 }, wherein G i 0 Refers to C i Corresponding target identification set G i 0 ={G i1 0 ，G i2 0 ，……，G iji 0 ，……，G ini 0 }，G iji 0 Refers to B iji Corresponding target identification set G iji 0 ={G iji1 0 ，G iji2 0 ，……，G ijik 0 ，……，G ijih 0 }，G ijik 0 Refers to B ijik Corresponding target mark G ijik 0 Meets the following conditions:
G ijik 0 =(G k ，E iji )。
the target platform may refer to a service management platform for managing multi-level data, in which a topology structure of multi-level micro services and micro interfaces is constructed, the topology structure includes m levels of micro services, the i+1th level micro service belongs to a lower level service of the i level micro service, the i level micro service corresponds to ni micro services, each micro service includes h types of micro interfaces, and each type of micro interface calls original data corresponding to different types of data objects. For example, the micro-interface type may refer to a type such as "personal query service", "unit query service", etc., and the micro-interface of the "personal query service" type is used for calling original data corresponding to the personal query service, and the micro-interface of the "unit query service" type is used for calling original data corresponding to the unit query service.
The micro interfaces corresponding to the micro services belonging to different levels are consistent in type, the upper micro interfaces can collect data called by the lower micro interfaces belonging to the same type, and the operation states of modification, addition, deletion and the like of the called data by the lower micro interfaces can influence the data collected by the upper micro interfaces belonging to the same type.
Meanwhile, each micro-service can collect data called by the corresponding k-class micro-interfaces, the upper micro-service can further collect data collected by the corresponding lower micro-service, and the operation states of modification, addition, deletion and the like of the collected data by the lower micro-service can influence the data collected by the corresponding upper micro-service.
The original identifier may refer to an identifier corresponding to the original data, where the original identifier includes a micro-interface identifier and a generic identifier, where the micro-interface identifier is used to indicate a micro-interface that may be invoked by the original data, and the standard micro-interface identifier may refer to a standard micro-interface identifier corresponding to a k-th type micro-interface, where the generic identifier is used to indicate a region to which the micro-interface belongs.
For example, the first level micro-service may refer to the radical level micro-service A 1 The second level of microservices may be referred to as provincial level microservices a 2 For example, jiangsu province microservice A 21 Micro-service A of Zhejiang province 22 Equal n2 provincial micro-services, the third level micro-service may refer to city-level micro-services, such as Jiangsu provincial micro-service A 21 Corresponding micro services of the south China city, the Zhenjiang city and the like, and correspondingly, the micro services of the south China city comprise corresponding first type micro interfaces B 211 Micro-interface B of the second kind 212 Type k micro-connector, … …Port B 21k . Correspondingly, the attribute identifier may refer to "js", "nt", "zj" and other identifiers corresponding to Jiangsu, nantong, zhenjiang and other regions.
The specific value of n2 may be set according to practical situations, for example, n2=34 may be set in this embodiment.
Because the topological structure of the target platform is complex, the number and types of the micro interfaces are more, and the correlation between the original data and the micro interfaces and between the original data and the micro services are abnormal, the possibility that the original data cannot be accurately converged into the upper-level micro services is higher, and the summarization quality of the data in the multi-level micro services is lower. Therefore, the embodiment checks the original data based on the original identifier to determine the association relationship between the original data and the micro-interfaces and the micro-services, and further determine whether the original data can be accurately converged into the upper micro-services to perform data association between the upper micro-interfaces and the lower micro-interfaces.
Specifically, on the basis of knowing the original identifier of the original data, the embodiment can obtain the target identifier set G corresponding to the original data set C according to the standard micro-interface identifier and the generic identifier corresponding to the original data 0 ={G 1 0 ，G 2 0 ，……，G i 0 ，……，G m 0 }, wherein G i 0 Refers to C i Corresponding target identification set G iji 0 Refers to B iji Corresponding target identification set G iji 0 ={G iji1 0 ，G iji2 0 ，……，G ijik 0 ，……，G ijih 0 }，G ijik 0 Refers to B ijik Corresponding target mark G ijik 0 =(G k ，E iji ) And the method is used as a basis for verifying the association relationship between the original data and the micro interface and the micro service.
According to G and E, the embodiment obtains a target identification set G corresponding to C 0 ={G 1 0 ，G 2 0 ，……，G i 0 ，……，G m 0 Standard micro-splicingThe mouth identifier and the belonging identifier are combined to obtain the target identifier corresponding to the original data, and a data basis is provided for verifying the association relationship between the original data and the micro interface and the micro service.
S2, according to D and G 0 If D ijik =(D ijik 1 ，D ijik 2 ) Satisfy D ijik 1 ≠G ijik 0 And D is ijik 2 ≠E iji Then update C ijik g =0。
Wherein according to D and G 0 Pair D ijik 1 And G ijik 0 Compare and pair D ijik 2 And E is iji And comparing to characterize the association relationship between the original data and the micro interface and micro service according to the comparison result.
Specifically, if D ijik =(D ijik 1 ，D ijik 2 ) Satisfy D ijik 1 ≠G ijik 0 And D is ijik 2 ≠E iji Characterization of C ijik Not of B ijik Calling raw data, C ijik Failure to be B ijik Corresponding raw data is summarized to B iji And B i Corresponding statistics set, thus, update C ijik g =0 to improve the accuracy of the association between the original data and the micro interface and the micro service, and further to improve the accuracy of the statistical data set.
In this embodiment D ijik =(D ijik 1 ，D ijik 2 ) Satisfy D ijik 1 ≠G ijik 0 And D is ijik 2 ≠E iji Time characterization C ijik Not of B ijik Calling original data, C ijik Updated to C ijik g =0, the accuracy of the association relationship between the original data and the micro interface and the micro service is improved, and the accuracy of the statistical data set is further improved.
S3, if D ijik =(D ijik 1 ，D ijik 2 ) Satisfy D ijik 1 =G ijik 0 And D is ijik 2 =E iji Then update C ijik g =C ijik 。
Wherein, if D ijik =(D ijik 1 ，D ijik 2 ) Satisfy D ijik 1 =G ijik 0 And D is ijik 2 =E iji Characterization C ijik Belonging to B ijik Calling raw data, C ijik Can be used as B ijik Corresponding raw data is summarized to B iji And B i Corresponding statistics set, thus, update C ijik g =C ijik 。
S4, using C ijik g Substitution C of C ijik Acquiring a target data set C g ={C 1 g ，C 2 g ，……，C i g ，……，C m g }, wherein C i g Refers to B i Corresponding target data set, C i g ={C i1 g ，C i2 g ，……，C iji g ，……，C ini g }，C iji g Refers to B iji Corresponding target data set, C iji g ={C iji1 g ，C iji2 g ，……，C ijik g ，……，C ijih g }，C ijik g Refers to B ijik Corresponding target data.
Wherein, at update C ijik Thereafter, the updated C is used ijik g Substitution C of C ijik Acquiring a target data set C g ={C 1 g ，C 2 g ，……，C i g ，……，C m g And the data base of the statistical data set corresponding to the micro-service is used for improving the accuracy of the association relationship between the original data and the micro-interface as well as between the original data and the micro-service, so that the accuracy of the statistical data set is improved.
In a specific embodiment, S2 further comprises the following steps:
s21, if D ijik =(D ijik 1 ，D ijik 2 ) Satisfy D ijik 1 ≠G ijik 0 、D ijik 2 ≠E iji 、D ijik 1 =G ijiβ 0 And D is ijik 2 =E iji Then update C ijiβ g ={C ijiβ ，C ijik }, wherein G ijiβ 0 Refers to A iji And the corresponding target identifier of the corresponding beta type micro-interface is beta=1, 2, … …, k-1, k+1, … … and h.
Wherein, if D ijik =(D ijik 1 ，D ijik 2 ) Satisfy D ijik 1 ≠G ijik 0 、D ijik 2 ≠E iji 、D ijik 1 =G ijiβ 0 And D is ijik 2 =E iji Characterization of C ijik Not of B ijik The original data of the call, but belonging to B ijiβ Calling raw data, C ijik Failure to be B ijik Corresponding raw data is summarized to B iji Corresponding statistics set, but can be B ijiβ Corresponding raw data is summarized to B iji Corresponding statistics set, thus, update C ijiβ g ={C ijiβ ，C ijik To C (x) ijik Added to B ijiβ The accuracy of the association relation between the original data and the micro interface and between the original data and the micro service is improved in the corresponding original data set, so that the accuracy of the statistical data set is improved.
In a specific embodiment, S4 further includes the following steps:
s41, using C ijik g And C ijiβ g Substitution C of C ijik And C ijiβ C is obtained g 。
Wherein, at update C ijik g =0, update C ijiβ g ={C ijiβ ，C ijik After } the present embodiment uses C ijik g And C ijiβ g Substitution C of C ijik And C ijiβ C is obtained g As the data basis of the statistics data set corresponding to the micro-service, the accuracy of the statistics data set is improved.
In a specific embodiment, S2 further comprises the following steps:
s22, if D ijik =(D ijik 1 ，D ijik 2 ) Satisfy D ijik 1 ≠G ijik 0 、D ijik 2 ≠E iji 、D ijik 1 ≠G ijiβ 0 、D ijik 2 ≠E iji 、D ijik 1 ∈G iγ 0 And D is ijik 2 =E iγ Then update C iγ g ={C iγ ，C ijik }, wherein G iγ 0 Refers to B iγ Corresponding target identification sets, γ=1, 2, … …, ji-1, ji+1, … …, ni.
Wherein, if D ijik =(D ijik 1 ，D ijik 2 ) Satisfy D ijik 1 ≠G ijik 0 、D ijik 2 ≠E iji 、D ijik 1 ≠G ijiβ 0 、D ijik 2 ≠E iji 、D ijik 1 ∈G iγ 0 And D is ijik 2 =E iγ Characterization of C ijik Not of B iji The original data of the call, but belonging to B iγ Calling raw data, C ijik Failure to be B iji Corresponding raw data is summarized to B i Corresponding statistics set, but can be B iγ Corresponding raw data is summarized to B i Corresponding statistics set, thus, update C iγ g ={C iγ ，C ijik To C (x) ijik Added to B iγ Corresponding original data set to improve association between original data and micro interface and micro serviceThe accuracy of the relationship is further improved, and the accuracy of the statistical data set is further improved.
In a specific embodiment, S4 further includes the following steps:
s42, using C ijik g 、C ijiβ g And C iγ g Substitution C of C ijik 、C ijiβ And C iγ C is obtained g 。
Wherein, at update C ijik g =0, update C iγ g ={C iγ ，C ijik After } the present embodiment uses C ijik g 、C ijiβ g And C iγ g Substitution C of C ijik 、C ijiβ And C iγ C is obtained g As the data basis of the statistics data set corresponding to the micro-service, the accuracy of the statistics data set is improved.
In a specific embodiment, S2 further comprises the following steps:
s23, if D ijik =(D ijik 1 ，D ijik 2 ) Satisfy D ijik 1 ≠G ijik 0 、D ijik 2 ≠E iji 、D ijik 1 ≠G ijiβ 0 、D ijik 2 ≠E iji 、D ijik 1 ∉G i 0 、D ijik 2 ≠E iγ 、D ijik 1 ∈G θ 0 And D is ijik 2 ∈E θ Then update C θ g ={C θ ，C ijik }, wherein G i 0 Refers to B i Corresponding target identification set G θ 0 Refers to B θ Corresponding target identification set, θ=1, 2, … …, i-1, i+1, … …, m.
Wherein, if D ijik =(D ijik 1 ，D ijik 2 ) Satisfy D ijik 1 ≠G ijik 0 、D ijik 2 ≠E iji 、D ijik 1 ≠G ijiβ 0 、D ijik 2 ≠E iji 、D ijik 1 ∉G i 0 、D ijik 2 ≠E iγ 、D ijik 1 ∈G θ 0 And D is ijik 2 ∈E θ Characterization of C ijik Not of B i The original data of the call, but belonging to B θ Calling raw data, C ijik Failure to be B i The corresponding raw data is summarized into the corresponding statistical data set of B, but can be used as B θ The corresponding raw data is summarized into the corresponding statistical data set of B, thus updating C θ g ={C θ ，C ijik To C (x) ijik And adding the data into the original data set corresponding to the B to improve the accuracy of the association relationship between the original data and the micro interface and between the original data and the micro service, thereby improving the accuracy of the statistical data set.
In a specific embodiment, S4 further includes the following steps:
s43, use C ijik g 、C ijiβ g 、C iγ g And C θ g Substitution C of C ijik 、C ijiβ 、C iγ And C θ C is obtained g 。
Wherein, at update C ijik g =0, update C θ g ={C θ ，C ijik After } the present embodiment uses C ijik g 、C ijiβ g 、C iγ g And C θ g Substitution C of C ijik 、C ijiβ 、C iγ And C θ C is obtained g As the data basis of the statistics data set corresponding to the micro-service, the accuracy of the statistics data set is improved.
S5, according to B and C g Acquiring a statistical data set C corresponding to A 0 ={C 1 0 ，C 2 0 ，……，C i 0 ，……，C m 0 }, wherein C i 0 Refers to A i Corresponding statistical data set, C i 0 ={C i1 0 ，C i2 0 ，……，C iji 0 ，……，C im 0 }，C iji 0 Refers to A iji Corresponding statistical data set, C iji 0 ={C iji1 0 ，C iji2 0 ，……，C ijik 0 ，……，C ijih 0 }，C ijik 0 Refers to A ijik Corresponding statistical data set, C ijik 0 =C ijik 0 ={C (i+1)jik g ，C (i+2)jik g ，……，C (i+u)jik g ，……，C mjik g }，u=1，2，……，m-i，C (i+u)ji ∈C 1 。
Wherein the statistical data set refers to a set of statistical data corresponding to the micro-service, A ijik Corresponding statistical data set C ijik 0 Can be according to the target data C corresponding to the ith+1th level j micro interface (i+1)jik g Target data C corresponding to ith+2th-level jth micro interface (i+2)jik g Target data C corresponding to the jth micro-interface of the m-th level and … … mjik g Statistical results, in particular, C ijik 0 ={C (i+1)jik g ，C (i+2)jik g ，……，C (i+u)jik g ，……，C mjik g }。
S6, C 0 Uploading the data to a preset database of the target platform.
Wherein, the preset database is used for storing the statistics data corresponding to each level of micro-services in the target platform, so that the statistics data set C corresponding to A is obtained 0 Thereafter, C is as follows 0 And uploading the data to a preset database of the target platform to complete data association of the multi-level micro-service.
In a specific embodiment, the computer program when executed by the processor further implements the steps of:
s7, if D ijik =(D ijik 1 ，D ijik 2 ) Satisfy D ijik 1 ∉G 0 And D is ijik 2 ∉ E, count D ijik 2 Number of occurrences in D CS k ；
S8, if CS k ＞CS 0 Triggering an interface opening indication signal, wherein CS 0 Refers to a preset occurrence threshold;
s9, adding D into the B according to the interface opening indication signal ijik Corresponding micro-interfaces acquire updated micro-interface set B 1 。
Wherein, if D ijik =(D ijik 1 ，D ijik 2 ) Satisfy D ijik 1 ∉G 0 And D is ijik 2 ∉ E, then characterize C ijik Original data not belonging to B call, C ijik Cannot be summarized as raw data into the corresponding statistical data set B, so the embodiment calculates D ijik 2 Number of occurrences in D CS k In CS k ＞CS 0 When the micro-interface corresponding to the micro-interface identifier is characterized not to be constructed in the topology structure of the current multi-level micro-service and the micro-interface, triggering an interface start indication signal, and adding D in B ijik Corresponding micro interfaces are used for updating the micro interface set B, and the updated micro interface set B is obtained 1 To improve the accuracy of the topology structure of the multi-level micro-services and the micro-interfaces, and further to improve the accuracy of the data association of the multi-level micro-services.
In a specific embodiment, the computer program when executed by the processor further implements the steps of:
s10, if C ij =0, then the interface close indication signal is triggered;
s11, closing B according to the interface closing indication signal ij Acquiring updated micro interface set B 2 。
Wherein, if C ij =0, then characterize B ij Triggering an interface closing indication signal to close B if the corresponding original data is not called ij To obtain updated micro-interface set B 2 Increase theThe accuracy of the topology structure of the multi-level micro-service and the micro-interface is improved, and the accuracy of the data association of the multi-level micro-service is further improved.
In a specific embodiment, the database further comprises an ith level micro-interface B i ={B ii ，B i2 ，……，B iji ，……，B ini Corresponding micro interface DB to be associated= { DB } 1 ，DB 2 ，……，DB Ж ，……，DB Д }、B i Corresponding micro interface name set mc= { MC ii ，MC i2 ，……，MC iji ，……，MC ini }、B i Corresponding micro-interface identification set D i 1 ={D i1 1 ，D i2 1 ，……，D iji 1 ，……，D ini 1 Micro interface name set md= { MD corresponding to DB 1 ，MD 2 ，……，MD Ж ，……，MD Д Micro interface identification set wd= { WD corresponding to DB } 1 ，WD 2 ，……，WD Ж ，……，WD Д }；
Wherein B is iji Refers to the ji-th micro interface set in the first-level micro interface, B iji ={B iji1 ，B iji2 ，……，B ijik ，……，B ijih }，B ijik Refers to B iji Corresponding k-th micro interface, MC iji Refers to B iji Corresponding micro-interface name set, MC iji ={MC iji1 ，MC iji2 ，……，MC ijik ，……，MC ijih }，MC ijik Refers to B ijik Corresponding micro interface name, D iji 1 Refers to B iji Corresponding micro-interface identification set, D iji 1 ={D iji1 1 ，D iji2 1 ，……，D ijik 1 ，……，D ijih 1 }，D ijik 1 Refers to B ijik Corresponding micro-interface identifier, DB Ж Refers to a first micro interface to be associated, MD Ж Refers to DB Ж Corresponding micro interface name, WD Ж Refers to DB Ж Corresponding micro-interface identifiers, ji=1, 2, … …, ni, ni refer to the total number of micro-interfaces in the i-th level of micro-interfaces, and ii=1, 2, … …, d refer to the total number of micro-interfaces to be associated;
the computer program, when executed by a processor, further performs the steps of:
s01 according to B 1 、DB、MC、D i 1 MD and WD, obtain B i Corresponding micro-interface dependency set XG i ={XG i1 ，XG i2 ，……，XG iji ，……，XG ini }, where XG iji Refers to B iji Corresponding micro-interface correlation set, XG iji ={XG iji1 ，XG iji2 ，……，XG ijik ，……，XG ijih }，XG ijik Refers to B ijik Corresponding micro-interface correlation set, XG ijik ={XDB k1 ，XDB k2 ，……，XDB kЖ ，……，XDB kД }，XDB kЖ Refers to DB Ж And B is connected with ijik Micro-interface correlation between XDB kЖ Meets the following conditions:
XDB kЖ =max(|MC ijik ∩MD Ж |/|MC ijik ∪MD Ж |，|D iji 1 ∩WD Ж |/|D iji 1 ∪WD Ж |)；
s02 according to XG 1 Obtain the i+1st-level micro-interface B i+1 ={B (i+1)1 ，B (i+1)2 ，……，B (i+1)j(i+1) ，……，B (i+1)n(i+1) }, wherein B is (i+1)j(i+1) Refers to the j (i+1) th micro-interface set in the i+1 th level micro-interface, B (i+1)j(i+1) ={B (i+1)j(i+1)1 ，B (i+1)j(i+1)2 ，……，B (i+1)j(i+1)k ，……，B (i+1)j(i+1)h J (i+1) =1, 2, … …, n (i+1) referring to the total number of micro-interfaces in the i+1-th level of micro-interfaces, B (i+1)j(i+1)k The corresponding micro-interface correlation is larger than a preset micro-interface correlation threshold;
s03, associating the ith micro-interface and the (i+1) th micro-interface.
The topology structure of the multi-level micro-service and the micro-interface is built in the target platform of the embodiment, and the i+1th micro-interface belongs to the lower micro-interface of the i-th micro-interface, so that the embodiment first determines the associated i+1th micro-interface on the basis of the i-th micro-interface before executing the step S1, so as to build and obtain the topology structure in the embodiment.
Specifically, the micro-interfaces to be associated comprise the micro-interfaces associated with the ith micro-interface and the micro-interfaces not associated with the ith micro-interface, and the micro-interfaces associated with the ith micro-interface can be screened out by carrying out correlation evaluation on the micro-interfaces to be associated and the ith micro-interface so as to construct the topological structure of the multi-level micro-interface.
The micro-interface name corresponds to a micro-interface identification, for example, when the micro-interface name is "personal query", the corresponding micro-interface identification is "grcx", and when the micro-interface name is "unit query", the corresponding micro-interface identification is "dwcx".
Thus, the present embodiment is according to B 1 、DB、MC、D i 1 DB can be obtained by MD and WD Ж And B is connected with ijik Micro-interface correlation XDB between kЖ =max(|MC ijik ∩MD Ж |/|MC ijik ∪MD Ж |，|D iji 1 ∩WD Ж |/|D iji 1 ∪WD Ж I), further, by traversing B i And DB, can obtain B i Corresponding micro-interface dependency set XG i ={XG i1 ，XG i2 ，……，XG iji ，……，XG ini And the method is used for judging whether the micro-interfaces to be associated are associated with the ith level of micro-interface or not.
Then, for the micro-interface correlation and the preset micro-interface correlation threshold XDB 0 For comparison, if XDB kЖ ＞XDB 0 XDB is then provided kЖ Corresponding micro-interface DB to be associated Ж Is determined to be with B ijik Associated level i+1 micro-interfaces to provide for XG based 1 Obtain the i+1st-level micro-interface B i+1 ={B (i+1)1 ，B (i+1)2 ，……，B (i+1)j(i+1) ，……，B (i+1)n(i+1) And associating the ith level micro-interface and the (i+1) level micro-interface as a basis for constructing the multi-level micro-interface.
By traversing i=1, 2, … …, m, a micro-interface set b= { B can be obtained 1 ，B 2 ，……，B i ，……，B m And constructing a topological structure of the multi-level micro interface in the embodiment to serve as a basis for data association of multi-level micro services.
Wherein XDB 0 The specific value of (2) may be set according to the actual situation, for example, in the present embodiment, XDB is set 0 =80%。
According to G and E, the embodiment obtains a target identification set G corresponding to C 0 ={G 1 0 ，G 2 0 ，……，G i 0 ，……，G m 0 According to D and G } 0 If D ijik =(D ijik 1 ，D ijik 2 ) Satisfy D ijik 1 ≠G ijik 0 And D is ijik 2 ≠E iji Then update C ijik g =0, if D ijik =(D ijik 1 ，D ijik 2 ) Satisfy D ijik 1 =G ijik 0 And D is ijik 2 =E iji Then update C ijik g =C ijik Using C ijik g Substitution C of C ijik Acquiring a target data set C g ={C 1 g ，C 2 g ，……，C i g ，……，C m g According to B and C } g Acquiring a statistical data set C corresponding to A 0 ={C 1 0 ，C 2 0 ，……，C i 0 ，……，C m 0 }, C 0 Uploading the data to a preset database of a target platform, and acquiring a target identifier by combining a standard micro-interface identifier and a generic identifier, thereby providing a data base for verifying the association relationship between the original data and the micro-interface and micro-serviceAnd the basis is used for further accurately characterizing the association relation between the corresponding original data and the micro-interfaces and the micro-services according to the comparison result between the target identifier and the original identifier, so that the accuracy of the statistical data set corresponding to the topological structures of the multi-level micro-services and the micro-interfaces is improved.
While certain specific embodiments of the invention have been described in detail by way of example, it will be appreciated by those skilled in the art that the above examples are for illustration only and are not intended to limit the scope of the invention. Those skilled in the art will also appreciate that many modifications may be made to the embodiments without departing from the scope and spirit of the invention. The scope of the invention is defined by the appended claims.
Claims (10)
1. A data correlation system based on multi-level micro services, the system comprising: database, processor and memory storing computer program, the database includes micro service set A = { A corresponding to target platform 1 ，A 2 ，……，A i ，……，A m Micro interface set b= { B 1 ，B 2 ，……，B i ，……，B m Raw data set c= { C corresponding to } and B 1 ，C 2 ，……，C i ，……，C m Original identification set D= { D corresponding to } and C 1 ，D 2 ，……，D i ，……，D m The generic identification set e= { E corresponding to } C 1 ，E 2 ，……，E i ，……，E m Standard micro interface identification set g= { G 1 ，G 2 ，……，G k ，……，G h }；
Wherein A is i Refers to the ith class of microservices set, A i ={A i1 ，A i2 ，……，A iji ，……，A ini }，A iji Refers to A i The ji < th > microservice of B i Refers to A i Corresponding micro interface set, B i ={B i1 ，B i2 ，……，B iji ，……，B ini }，B iji Refers to A iji Corresponding micro interface set, B iji ={B iji1 ，B iji2 ，……，B ijik ，……，B ijih }，B ijik Refers to A iji Corresponding k-th type micro interface, C i Refers to B i Corresponding raw data set, C i ={C i1 ，C i2 ，……，C iji ，……，C ini }，C iji Refers to B iji Corresponding raw data set, C iji ={C iji1 ，C iji2 ，……，C ijik ，……，C ijih }，C ijik Refers to B ijik Corresponding raw data, D i Refers to B i Corresponding original identification set, D i ={D i1 ，D i2 ，……，D iji ，……，D ini }，D iji Refers to B iji Corresponding original identification set, D iji ={D iji1 ，D iji2 ，……，D ijik ，……，D ijih }，D ijik Refers to B ijik Corresponding original identifier D ijik =(D ijik 1 ，D ijik 2 )，D ijik 1 Refers to B iji Corresponding micro-interface identifier, D ijik 2 Refers to B iji Corresponding genus identifier, E i Refers to C i Corresponding genus identifier, E i ={E i1 ，E i2 ，……，E iji ，……，E ini }，E iji Refers to C iji Corresponding genus identifier, G k Standard micro-interface identification referring to the kth type of micro-interface, i=1, 2, … …, m, m refers to the number of levels of micro-services, ji=1, 2, … …, ni, ni refers to a i Corresponding micro-service quantity, k=1, 2, … …, h, h refers to total type quantity of micro-interfaces;
when the computer program is executed by a processor, the following steps are implemented:
s1, acquiring a target identification set G corresponding to C according to G and E 0 ={G 1 0 ，G 2 0 ，……，G i 0 ，……，G m 0 And } wherein,G i 0 refers to C i Corresponding target identification set G i 0 ={G i1 0 ，G i2 0 ，……，G iji 0 ，……，G ini 0 }，G iji 0 Refers to B iji Corresponding target identification set G iji 0 ={G iji1 0 ，G iji2 0 ，……，G ijik 0 ，……，G ijih 0 }，G ijik 0 Refers to B ijik Corresponding target mark G ijik 0 Meets the following conditions:
G ijik 0 =(G k ，E iji )；
s2, according to D and G 0 If D ijik =(D ijik 1 ，D ijik 2 ) Satisfy D ijik 1 ≠G ijik 0 And D is ijik 2 ≠E iji Then update C ijik g =0；
S3, if D ijik =(D ijik 1 ，D ijik 2 ) Satisfy D ijik 1 =G ijik 0 And D is ijik 2 =E iji Then update C ijik g =C ijik ；
S4, using C ijik g Substitution C of C ijik Acquiring a target data set C g ={C 1 g ，C 2 g ，……，C i g ，……，C m g }, wherein C i g Refers to B i Corresponding target data set, C i g ={C i1 g ，C i2 g ，……，C iji g ，……，C ini g }，C iji g Refers to B iji Corresponding target data set, C iji g ={C iji1 g ，C iji2 g ，……，C ijik g ，……，C ijih g }，C ijik g Refers to B ijik Corresponding target data;
s5, according to B and C g Acquiring a statistical data set C corresponding to A 0 ={C 1 0 ，C 2 0 ，……，C i 0 ，……，C m 0 }, wherein C i 0 Refers to A i Corresponding statistical data set, C i 0 ={C i1 0 ，C i2 0 ，……，C iji 0 ，……，C im 0 }，C iji 0 Refers to A iji Corresponding statistical data set, C iji 0 ={C iji1 0 ，C iji2 0 ，……，C ijik 0 ，……，C ijih 0 }，C ijik 0 Refers to A ijik Corresponding statistical data set, C ijik 0 ={C (i+1)jik g ，C (i+2)jik g ，……，C (i+u)jik g ，……，C mjik g }，u=1，2，……，m-i，C (i+u)ji g ∈C 1 ；
S6, C 0 Uploading the data to a preset database of the target platform.
2. The system of claim 1, wherein S2 further comprises the steps of:
s21, if D ijik =(D ijik 1 ，D ijik 2 ) Satisfy D ijik 1 ≠G ijik 0 、D ijik 2 ≠E iji 、D ijik 1 =G ijiβ 0 And D is ijik 2 =E iji Then update C ijiβ g ={C ijiβ ，C ijik }, wherein G ijiβ 0 Refers to A iji And the corresponding target identifier of the corresponding beta type micro-interface is beta=1, 2, … …, k-1, k+1, … … and h.
3. The system of claim 2, wherein S4 further comprises the steps of:
s41, using C ijik g And C ijiβ g Substitution C of C ijik And C ijiβ C is obtained 1 。
4. A system according to claim 3, wherein S2 further comprises the steps of:
s22, if D ijik =(D ijik 1 ，D ijik 2 ) Satisfy D ijik 1 ≠G ijik 0 、D ijik 2 ≠E iji 、D ijik 1 ≠G ijiβ 0 、D ijik 2 ≠E iji 、D ijik 1 ∈G iγ 0 And D is ijik 2 =E iγ Then update C iγ g ={C iγ ，C ijik }, wherein G iγ 0 Refers to B iγ Corresponding target identification sets, γ=1, 2, … …, ji-1, ji+1, … …, ni.
5. The system of claim 4, wherein S4 further comprises the steps of:
s42, using C ijik g 、C ijiβ g And C iγ g Substitution C of C ijik 、C ijiβ And C iγ C is obtained 1 。
6. The system of claim 5, wherein S2 further comprises the steps of:
s23, if D ijik =(D ijik 1 ，D ijik 2 ) Satisfy D ijik 1 ≠G ijik 0 、D ijik 2 ≠E iji 、D ijik 1 ≠G ijiβ 0 、D ijik 2 ≠E iji 、D ijik 1 ∉G i 0 、D ijik 2 ≠E iγ 、D ijik 1 ∈G θ 0 And D is ijik 2 ∈E θ Then update C θ g ={C θ ，C ijik }, wherein G i 0 Refers to B i Corresponding target identification set G θ 0 Refers to B θ Corresponding target identification set, θ=1, 2, … …, i-1, i+1, … …, m.
7. The system of claim 6, wherein S4 further comprises the steps of:
s43, use C ijik g 、C ijiβ g 、C iγ g And C θ g Substitution C of C ijik 、C ijiβ 、C iγ And C θ C is obtained 1 。
8. The system of claim 7, wherein the computer program when executed by the processor further performs the steps of:
s7, if D ijik =(D ijik 1 ，D ijik 2 ) Satisfy D ijik 1 ∉G 0 And D is ijik 2 ∉ E, count D ijik 2 Number of occurrences in D CS k ；
S8, if CS k ＞CS 0 Triggering an interface opening indication signal, wherein CS 0 Refers to a preset occurrence threshold;
s9, adding D in the B according to the interface opening indication signal ijik Corresponding micro-interfaces acquire updated micro-interface set B 1 。
9. The system of claim 8, wherein the computer program when executed by the processor further performs the steps of:
s10, if C ij =0, then the interface close indication signal is triggered;
s11, closing B according to the interface closing indication signal ij Acquiring updated micro interface set B 2 。
10. The system of claim 1, wherein the database further comprises an ith level micro-interface B i ={B ii ，B i2 ，……，B iji ，……，B ini Corresponding micro interface DB to be associated= { DB } 1 ，DB 2 ，……，DB Ж ，……，DB Д }、B i Corresponding micro interface name set mc= { MC ii ，MC i2 ，……，MC iji ，……，MC ini }、B i Corresponding micro-interface identification set D i 1 ={D i1 1 ，D i2 1 ，……，D iji 1 ，……，D ini 1 Micro interface name set md= { MD corresponding to DB 1 ，MD 2 ，……，MD Ж ，……，MD Д Micro interface identification set wd= { WD corresponding to DB } 1 ，WD 2 ，……，WD Ж ，……，WD Д }；
Wherein B is iji Refers to the ji-th micro interface set in the first-level micro interface, B iji ={B iji1 ，B iji2 ，……，B ijik ，……，B ijih }，B ijik Refers to B iji Corresponding k-th micro interface, MC iji Refers to B iji Corresponding micro-interface name set, MC iji ={MC iji1 ，MC iji2 ，……，MC ijik ，……，MC ijih }，MC ijik Refers to B ijik Corresponding micro interface name, D iji 1 Refers to B iji Corresponding micro-interface identification set, D iji 1 ={D iji1 1 ，D iji2 1 ，……，D ijik 1 ，……，D ijih 1 }，D ijik 1 Refers to B ijik Corresponding micro-interface identifier, DB Ж Refers to a first micro interface to be associated, MD Ж Refers to DB Ж Corresponding micro interface name, WD Ж Refers to DB Ж Corresponding micro-interface identifiers, ji=1, 2, … …, ni, ni refer to the total number of micro-interfaces in the i-th level of micro-interfaces, and ii=1, 2, … …, d refer to the total number of micro-interfaces to be associated;
the computer program, when executed by a processor, further performs the steps of:
s01 according to B 1 、DB、MC、D i 1 MD and WD, obtain B i Corresponding micro-interface dependency set XG i ={XG i1 ，XG i2 ，……，XG iji ，……，XG ini }, where XG iji Refers to B iji Corresponding micro-interface correlation set, XG iji ={XG iji1 ，XG iji2 ，……，XG ijik ，……，XG ijih }，XG ijik Refers to B ijik Corresponding micro-interface correlation set, XG ijik ={XDB k1 ，XDB k2 ，……，XDB kЖ ，……，XDB kД }，XDB kЖ Refers to DB Ж And B is connected with ijik Micro-interface correlation between XDB kЖ Meets the following conditions:
XDB kЖ =max(|MC ijik ∩MD Ж |/|MC ijik ∪MD Ж |，|D iji 1 ∩WD Ж |/|D iji 1 ∪WD Ж |)；
s02 according to XG 1 Obtain the i+1st-level micro-interface B i+1 ={B (i+1)1 ，B (i+1)2 ，……，B (i+1)j(i+1) ，……，B (i+1)n(i+1) }, wherein B is (i+1)j(i+1) Refers to the j (i+1) th micro-interface set in the i+1 th level micro-interface, B (i+1)j(i+1) ={B (i+1)j(i+1)1 ，B (i+1)j(i+1)2 ，……，B (i+1)j(i+1)k ，……，B (i+1)j(i+1)h J (i+1) =1, 2, … …, n (i+1) referring to the total number of micro-interfaces in the i+1-th level of micro-interfaces, B (i+1)j(i+1)k Corresponding micro-interfaceThe correlation is larger than a preset micro-interface correlation threshold;
s03, associating the ith micro-interface and the (i+1) th micro-interface.
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