CN112765117A - Industrial internet identification analysis system based on micro-service architecture - Google Patents
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Abstract
The invention discloses an industrial internet identification analysis system based on a micro-service architecture, which comprises: the user interface layer is used for inputting a micro-service request of a user and displaying a service result corresponding to the micro-service request; the gateway layer is used for forwarding the micro-service request to a corresponding micro-service in a back-end micro-service cluster, and realizing user identity authentication, service flow limitation and service degradation; the service layer comprises the back-end micro-service cluster, a distributed search engine, a distributed cache service component, a distributed message service component and a container management tool; and the storage layer comprises a relational database and a non-relational database. According to the invention, the problem that the storage capacity and the retrieval capacity of the conventional industrial internet identification analysis system are poor can be solved.
Description
Technical Field
The invention belongs to the field of industrial internet, and particularly relates to an industrial internet identification analysis system based on a micro-service architecture.
Background
In the existing industrial internet identification analysis system, each level of nodes stores identification and attributes thereof by using a relational database, and meanwhile, indexes are built for the identification for retrieval. With the popularization of identification work, the code quantity of industry secondary nodes and large enterprise nodes reaches hundreds of millions to more than billions of scales, and the search needs to be carried out according to the attributes such as code sending categories, article characteristics, application positions and the like, so that the storage and search capacity of the existing architecture cannot well meet the requirements.
Disclosure of Invention
The invention aims to solve the problem that the existing industrial Internet identification analysis system is poor in storage capacity and retrieval capacity.
In order to achieve the above object, the present invention provides an industrial internet identifier parsing system based on micro service architecture, including:
the user interface layer is used for inputting a micro-service request of a user and displaying a service result corresponding to the micro-service request;
the gateway layer is used for forwarding the micro-service request to a corresponding micro-service in a back-end micro-service cluster, and realizing user identity authentication, service flow limitation and service degradation;
the service layer comprises the back-end micro-service cluster, a distributed search engine, a distributed cache service component, a distributed message service component and a container management tool;
and the storage layer comprises a relational database and a non-relational database.
Preferably, the micro service request includes a resolution micro service request, a business micro service request, a data micro service request, a version micro service request, a statistics micro service request, an ETL micro service request, and an API micro service request.
Preferably, the back-end micro-service cluster is constructed based on Spring Cloud and related components thereof, the back-end micro-service cluster comprises an analysis center, a service center and a data center, the analysis center comprises an interface service and a cache management micro-service, and the service center comprises an enterprise management micro-service, a rule micro-service and an identification micro-service.
Preferably, the distributed search engine is an Elasticsearch-based distributed search engine, and is configured to store data obtained by processing, by the parsing center, the code data according to a preset word segmentation rule and a parsing template.
Preferably, the distributed cache service component is a Redis-based distributed cache service component, and is configured to store an identifier coding rule preset by an enterprise forwarded by a rule micro service of the service center, a code sending template, an analysis hotword, and an index template set by the identifier micro service of the service center;
and the analysis hot words are analyzed by recording analysis logs in real time and analyzing the analysis logs based on the cache management micro-service of the analysis center, and real-time refreshing is realized by combining historical data.
Preferably, the distributed message service component is a Kafka-based distributed message service component for implementing data synchronization among the backend microservice cluster, the relational and non-relational databases, and the distributed search engine.
Preferably, the container management tool is a Kubernetes-based container management tool.
Preferably, the relational database is a MySQL database for storing system management data, and the system management data is data generated during enterprise registration and management.
Preferably, the non-relational database is a MongoDB database for storing identification data and identification attribute data.
Preferably, the service layer further comprises an OSS-based distributed file system.
The invention has the beneficial effects that:
the invention relates to an industrial internet identification analysis system based on a micro-service architecture, which constructs an application micro-service cluster by using SpringCloud and related components thereof, stores node management data by using a relational database, stores identification and attribute data thereof by using a MongoDB database, establishes a full-text search library by using an elastic search, caches hot spot data and templates by using Redis, realizes data synchronization between micro-services and between a storage library and the search library by using Kafka, and manages containers by using Kubernets, thereby realizing the requirements of completely storing all identification code sending information of lower nodes at management nodes such as secondary nodes, large group enterprise nodes and the like of the industrial internet identification analysis system, quickly searching according to attributes such as categories, article characteristics, application positions and the like, and effectively controlling cost.
Additional features and advantages of the invention will be set forth in the detailed description which follows.
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The above and other objects, features and advantages of the present invention will become more apparent by describing in more detail exemplary embodiments thereof with reference to the attached drawings, in which like reference numerals generally represent like parts throughout.
FIG. 1 illustrates an overall architecture diagram of a microservice architecture-based industrial Internet identity resolution system, according to an embodiment of the invention;
fig. 2 illustrates a detailed architecture diagram of an industrial internet identity resolution system based on a microservice architecture according to an embodiment of the present invention.
Detailed Description
Preferred embodiments of the present invention will be described in more detail below. While the following describes preferred embodiments of the present invention, it should be understood that the present invention may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
Example (b): fig. 1 shows an overall architecture diagram of an industrial internet identity resolution system based on a microservice architecture according to an embodiment of the present invention. Referring to fig. 1, the micro service architecture based industrial internet identity resolution system of the present embodiment includes:
the user interface layer is used for inputting a micro-service request of a user and displaying a service result corresponding to the micro-service request;
the gateway layer is used for forwarding the micro-service request to a corresponding micro-service in a back-end micro-service cluster, and realizing user identity authentication, service flow limitation and service degradation;
the service layer comprises the back-end micro-service cluster, a distributed search engine, a distributed cache service component, a distributed message service component and a container management tool;
and the storage layer comprises a relational database and a non-relational database.
In this embodiment, the micro service request includes an analysis micro service request, a service micro service request, a data micro service request, a version micro service request, a statistics micro service request, an ETL micro service request, and an API micro service request.
In this embodiment, the back-end micro-service cluster is constructed based on Spring Cloud and related components thereof, the back-end micro-service cluster includes an analysis center, a service center and a data center, the analysis center includes an interface service and a cache management micro-service, and the service center includes an enterprise management micro-service, a rule micro-service and an identifier micro-service.
The Spring Cloud is a Cloud native application development tool realized based on Spring Boot, and provides a simple development mode for operations such as configuration management, service discovery, fuses, intelligent routing, micro-agents, control buses, distributed sessions, cluster state management and the like involved in the Cloud native application development based on JVM.
In this embodiment, the distributed search engine is an Elasticsearch-based distributed search engine, and is configured to store data obtained by processing, by the parsing center, the code data according to a preset word segmentation rule and a parsing template.
The Elasticsearch is a Lucene-based search server. It provides a distributed multi-user capable full-text search engine based on RESTful web interface.
In this embodiment, the distributed cache service component is a Redis-based distributed cache service component, and is configured to store an identifier encoding rule preset by an enterprise and forwarded by a rule micro service of the service center, a code sending template, an analysis hot word, and an index template set by the identifier micro service of the service center;
and the analysis hot words are analyzed by recording analysis logs in real time and analyzing the analysis logs based on the cache management micro-service of the analysis center, and real-time refreshing is realized by combining historical data.
Redis (remote Dictionary Server), which is an open source log-type and Key-Value database written in ANSI C language, supporting network, based on memory and persistent, and provides API of multiple languages.
In this embodiment, the distributed message service component is a Kafka-based distributed message service component, and is configured to implement data synchronization among the backend microservice cluster, the relational database, the non-relational database, and the distributed search engine.
Kafka is a high-throughput distributed publish-subscribe messaging system that can handle all the action flow data of a consumer in a web site.
In this embodiment, the container management tool is a Kubernetes-based container management tool.
kubernets, an open source, is used to manage containerized applications on multiple hosts in a cloud platform.
In this embodiment, the relational database is a MySQL database and is used to store system management data, and the system management data is data generated during enterprise registration and management.
In this embodiment, the non-relational database is a MongoDB database, and is used to store the identification data and the identification attribute data.
MongoDB is a database based on distributed file storage. Written in the C + + language. It is intended to provide an extensible high performance data storage solution for WEB applications.
In this embodiment, the service layer further includes an OSS-based distributed file system.
The micro-service architecture-based industrial internet identification analysis system of the embodiment constructs an application micro-service cluster by using SpringCloud and related components thereof, stores node management data by using a relational database, stores identification and attribute data thereof by using a MongoDB database, establishes a full-text search library by using an elastic search, caches hot spot data and templates by using Redis, realizes data synchronization among micro-services, a storage library and the search library by using Kafka, performs container management by using Kubernets, and can realize billion-level identification storage, throughput more than ten thousand times per second and millisecond-level identification full-attribute analysis.
Fig. 2 illustrates a detailed architecture diagram of an industrial internet identity resolution system based on a microservice architecture according to an embodiment of the present invention. The micro-service architecture based industrial internet identity resolution system of the present embodiment is described in more detail below with reference to fig. 2:
when the enterprise is registered and managed, the enterprise management micro-service of the service center processes the data and stores the data in a relational database, specifically a MySQL cluster.
Before sending the code, the enterprise sets the corresponding rule of the identification code, and the rule micro-service of the business center stores the rule into the Redis cache for quick calling when sending the code.
When the identification codes are sent, the identification data and the identification attribute data are processed by the identification micro-service of the service center and are stored in the MongoDB cluster. In particular, if a code-sending template is set, the template is also stored in the Redis cache.
And pushing the corresponding code sending data to the Kafka cluster while identifying the completion of code sending. The read is polled by the interface service of the resolution center, typically every 500 milliseconds. After acquiring the code sending data, the analysis center processes the code sending data according to a preset word segmentation rule and an analysis template, and stores the code sending data in an Elasticissearch cluster.
Particularly, the cache management micro-service of the analysis center records and analyzes the analysis log in real time, and refreshes the analysis hot words stored in the Redis cache in real time by combining historical data.
When the identification is analyzed, the analysis micro-service firstly queries a Redis cache, and if a result is obtained, the result is returned; and if no result exists, performing query in the Elasticissearch cluster.
When the identification relationship is retrieved, for example, when all the devices of one ship and the dependency relationship of the devices are retrieved, a specific index template is read from Redis, and the obtained result is retrieved in the Elasticissearch cluster according to the index.
The embodiment also simulates the industrial internet identification analysis system based on the micro-service architecture
And (3) testing environment: a test environment storing billions of identification data is constructed by referring to real data simulation by using a 3-station 8-core 16G memory X86 architecture server.
And (3) concurrent counting: 10000 users.
And (3) retrieval efficiency:
1. and (3) searching according to the identifier: the average of 3-5ms gives the return result.
2. And searching according to any attribute: the average of 5-10ms gives the return result.
3. All equipment and its dependencies are retrieved on ship: the average of 5-20ms gives the return result.
Having described embodiments of the present invention, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments.
Claims (10)
1. Industry internet mark analytic system based on little service architecture, its characterized in that includes:
the user interface layer is used for inputting a micro-service request of a user and displaying a service result corresponding to the micro-service request;
the gateway layer is used for forwarding the micro-service request to a corresponding micro-service in a back-end micro-service cluster, and realizing user identity authentication, service flow limitation and service degradation;
the service layer comprises the back-end micro-service cluster, a distributed search engine, a distributed cache service component, a distributed message service component and a container management tool;
and the storage layer comprises a relational database and a non-relational database.
2. The industrial internet identity resolution system of claim 1, wherein the micro-service requests include resolution micro-service requests, business micro-service requests, data micro-service requests, version micro-service requests, statistics micro-service requests, ETL micro-service requests, and API micro-service requests.
3. The system of claim 2, wherein the back-end micro service cluster is constructed based on Spring Cloud and related components thereof, the back-end micro service cluster comprises a resolution center, a service center and a data center, the resolution center comprises an interface service and a cache management micro service, and the service center comprises an enterprise management micro service, a rule micro service and an identification micro service.
4. The system for analyzing industrial internet identification according to claim 3, wherein the distributed search engine is an Elasticsearch-based distributed search engine, and is configured to store data obtained by the analysis center processing the code data according to a preset word segmentation rule and an analysis template.
5. The system according to claim 4, wherein the distributed cache service component is a Redis-based distributed cache service component, and is configured to store an enterprise pre-set identification coding rule forwarded by a rule micro service of the service center, a code sending template, an analysis hotword, and an index template set by the rule micro service of the service center;
and the analysis hot words are analyzed by recording analysis logs in real time and analyzing the analysis logs based on the cache management micro-service of the analysis center, and real-time refreshing is realized by combining historical data.
6. The industrial internet identity resolution system of claim 5, wherein the distributed message service component is a Kafka-based distributed message service component for enabling data synchronization between the backend microservices cluster, the relational and non-relational databases, and the distributed search engine.
7. The industrial internet identity resolution system of claim 6, wherein the container management tool is a Kubernetes-based container management tool.
8. The system of claim 7, wherein the relational database is a MySQL database for storing system management data generated during enterprise registration and management.
9. The industrial internet identity resolution system of claim 8, wherein the non-relational database is a MongoDB database for storing identity data and identity attribute data.
10. The industrial internet identity resolution system of claim 9, wherein the service layer further comprises an OSS-based distributed file system.
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| CN114500589A (en) * | 2021-12-22 | 2022-05-13 | 烟台东方瑞创达电子科技有限公司 | Public service supporting platform for industrial internet identification analysis |
| CN114866571A (en) * | 2022-05-31 | 2022-08-05 | 广东三维睿新科技有限公司 | Enterprise resource library system |
| CN114900448A (en) * | 2022-05-30 | 2022-08-12 | 上海亿通国际股份有限公司 | Micro-service gateway flow management method and device and electronic equipment |
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