CN111930861A - Kafka-based real-time data analysis subscription processing method and device - Google Patents
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Abstract
The invention discloses a Kafka-based real-time data analyzing and subscribing method in the technical field of data analyzing and processing, which comprises the steps that a subscribing terminal sends a subscribing data model to a cloud server; the two establish a data push channel; the server receives the user data and carries out authority verification; the server side sends a message to the middleware for data forwarding; the server side receives the subscription relation through the message middleware and stores the subscription relation locally; the server side reports the data to the middleware after receiving the data; after receiving the data, the server side carries out data merging processing with the subscription relation; and the server side sends real-time data to the subscriber side. The Kafka-based real-time data analyzing and subscribing processing method can timely and conveniently enable users to obtain real-time data wanted by the users, thereby reducing the pressure of the users on processing the data, having high throughput and effective blocks, and ensuring that the data accurately and accurately reach the user side in real time.
Description
Technical Field
The invention relates to the technical field of data analysis and processing, in particular to a method and a device for analyzing, subscribing, processing and distributing data based on Kafka real-time data.
Background
The real-time data analysis subscription processing refers to a behavior that the cloud performs subscription and distribution according to a user subscription relationship after device data is reported to the cloud, in order to meet the requirement of a user on data security, the user subscription relationship is stored in a server database, the user is required to initiate a subscription behavior, the server verifies the authority processing of the user on the device, and therefore the data can be guaranteed to safely and accurately reach a user system, traditional data capture is performed in an active polling mode through a client, but the traditional data acquisition mode is low in throughput, slow in actual effect and incapable of fragment consumption, the current commonly used message queues are Kafka source open flow processing platform developed by an Apache software foundation, written by Scala and Java, the Kafka is a high-throughput distributed publishing subscription message system, and can process all actions of a user consumer in a website, in order to meet the requirement of high throughput and realize distributed deployment, the Kafka technology is adopted to realize distributed deployment and fragmented consumption so as to achieve high throughput, the effect is fast, and data is ensured to accurately arrive at a user client in real time.
Disclosure of Invention
The invention aims to provide a method and a device for analyzing, subscribing, processing and distributing data based on Kafka real-time data.
In order to achieve the purpose, the invention adopts the following technical scheme:
a Kafka-based real-time data analysis and subscription processing method comprises the following steps:
step 1: the subscription end sends a subscription data model to the cloud server;
step 2: a data pushing channel is established between the subscription side and the server side;
and step 3: the server receives the user data and carries out authority verification;
and 4, step 4: after the server side checks, sending a message to the middleware for data forwarding;
and 5: the subscription relation part of the server receives the subscription relation through the message middleware and stores the subscription relation locally;
step 6: the data analysis part of the server reports the data to the middleware after receiving the data;
and 7: the data distribution part of the server side receives the data and then performs data combination processing with the subscription relation;
and 8: and the server side sends real-time data to the subscriber side.
Further, the authority check in step 3 is a validity check of the user subscription relationship.
Further, the middleware in the step 4 is a Kafka cluster server.
Further, the step 5 of receiving the subscription relationship through the message middleware by the subscription relationship part of the server includes the following steps:
s51: the subscription end initiates a subscription relation to the cloud server;
s52: the server judges the equipment authority and processes the subscription relationship;
s53: consuming user subscription relationships through Kafka;
s54: storing the user relation model data to a local library;
s55: and storing the user relation model data for database storage.
Further, the step 7 comprises the following steps:
s71: the equipment side sends user data;
s72: the server side analyzes the data;
s73: the server side loads a subscription relation model;
s74: the server analyzes the data into the data required by the user and then performs composite operation with the subscription relationship;
s75: the server side filters and screens the user data;
s76: the server side uploads the user data to Kafka;
s77: and the cloud server transmits the data in the Kafka for consumption and then forwards the data according to the user.
A device of a Kafka-based real-time data parsing and subscribing processing method comprises the following steps:
the data pushing module is used for establishing a data pushing channel with the server;
the authority verification module is used for receiving the user data and performing authority verification;
the data forwarding module is used for sending a message to the Kafka for data forwarding;
the data analysis module is used for analyzing the user data;
the storage module is used for storing the user subscription relationship;
the composite operation module is used for analyzing the data into the data required by the user and then carrying out composite operation on the subscription relation;
and the filtering and screening module is used for filtering and screening the data required by the user.
A Kafka-based system for a real-time data parsing and subscribing processing method comprises the following steps:
the data source end is used for reading the Kafka cache message in the message queue, adding the amount of data in one day of temporary cache, and storing the Kafka cache message after analysis in the storage module after the client analyzes the Kafka cache message;
and the client is used for analyzing the content of the Kafka cache message after initialization.
By adopting the technical scheme, the invention has the following advantages:
1. the invention provides a Kafka-based real-time data distribution and subscription processing method, which establishes a relationship with device data through a user subscription relationship to be matched and sends the device data to a user subscription end, and the user subscription relationship is initiated by a user, so that the user can define the relationship according to the actual requirements of the user without modifying any configuration file, thereby reducing resource consumption, ensuring that the data is sent to a user end according to the user-defined requirement, carrying out authority verification in a server, judging whether the device is mounted under the name of a subscriber to carry out verification, and ensuring the safety of the data.
2. The invention is based on the traditional data distribution, temporarily caches the data volume of one day, so that the user can inquire the history and analyze the data of one day, the future predictability behavior can be analyzed, the user can obtain the real-time data wanted by the user in time and conveniently by analyzing the subscription relationship of the real-time data, the data processing efficiency is high, and the pressure of the user on processing the data is reduced. The Kafka technology is adopted to realize distributed deployment and fragmentation consumption, high throughput and effective blocks can be achieved, and data can be ensured to accurately reach a user side in real time.
Drawings
Other features, objects and advantages of the present invention will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, with reference to the accompanying drawings.
FIG. 1 is a flow chart of a Kafka-based real-time data parsing subscription processing method of the present invention;
FIG. 2 is a flow chart of a subscriber initiating a subscription relationship and storing a database in accordance with the present invention;
FIG. 3 is a flow chart of data distribution after reporting of device data according to the present invention;
FIG. 4 is a schematic structural diagram of an apparatus of the Kafka-based real-time data parsing and subscribing processing method of the present invention;
fig. 5 is a schematic system structure diagram of the Kafka-based real-time data parsing and subscribing processing method of the present invention.
Detailed Description
The technical scheme of the invention is specifically explained in the following with the accompanying drawings of the specification.
The detailed features and advantages of the present invention are described in detail in the detailed description which follows, and will be sufficient for anyone skilled in the art to understand the technical content of the present invention and to implement the present invention, and the related objects and advantages of the present invention will be easily understood by those skilled in the art from the description, claims and drawings disclosed in the present specification.
First embodiment
As shown in fig. 1, a method for processing real-time data parsing and subscribing based on Kafka includes the following steps:
step 1: the subscription end sends a subscription data model to the cloud server;
step 2: a data pushing channel is established between the subscription side and the server side;
and step 3: the server receives the user data and carries out authority verification;
and 4, step 4: after the server side checks, sending a message to the middleware for data forwarding;
and 5: the subscription relation part of the server receives the subscription relation through the message middleware and stores the subscription relation locally;
step 6: the data analysis part of the server reports the data to the middleware after receiving the data;
and 7: the data distribution part of the server side receives the data and then performs data combination processing with the subscription relation;
and 8: and the server side sends real-time data to the subscriber side.
Wherein: the subscription data model is an access subscription platform in the prior art, and comprises a subscription end and a cloud server, wherein the subscription end subscribes a data platform system through the cloud server to realize subscription and acquisition of data.
And the authority verification in the step 3 is the validity verification of the user subscription relationship, if the user subscription relationship is the legal authority, the next operation is carried out, and if the user subscription relationship is the illegal authority, the step 1 is returned until the legal authority is obtained.
The middleware in the step 4 is a Kafka cluster server, the Kafka is a distributed message publishing-subscribing system, the Kafka can be used as a data source of a stream computing system and supports partitioning of messages through the Kafka cluster server and a consumer cluster, the Kafka cluster server can read messages sent after verification by a server side and can process all action stream data of a consumer user in a website, and after the action stream data is processed by the Kafka cluster server, disk data can be persisted, the throughput is high, and the throughput can reach millions of messages per second.
Second embodiment
As shown in fig. 2, the second embodiment of the present invention is similar to the first embodiment except for the following design changes. The step 5 of receiving the subscription relationship through the message middleware by the subscription relationship part of the server includes the following steps:
s51: the subscription end initiates a subscription relation to the cloud server;
s52: the server judges the equipment authority and processes the subscription relationship;
s53: consuming user subscription relationships through Kafka;
s54: storing the user relation model data to a local library;
s55: and storing the user relation model data for database storage.
Wherein: the subscription relation is initiated to a cloud server by a subscription end, the server judges equipment authority and processes the subscription relation, the processed subscription relation is sent to a middleware Kafka cluster server to ensure that data are not lost, the server receives the subscription relation to store the database (the database and a relational database are simultaneously stored to ensure that the data are not lost), the user subscription relation uses a RocksDB database to quickly respond, the calculation speed is high, and the timeliness of the data is ensured; the subscription relation data is also cached, and the data processing efficiency is high. And calculating the relation between the real-time data and the subscriber by receiving the real-time data of the equipment, and pushing the real-time data to the user.
Third embodiment
As shown in fig. 3, a third embodiment of the present invention is similar to the second embodiment except for the following design changes. Wherein: step 7 comprises the following steps:
s71: the equipment side sends user data;
s72: the server side analyzes the data;
s73: the server side loads a subscription relation model;
s74: the server analyzes the data into the data required by the user and then performs composite operation with the subscription relationship;
s75: the server side filters and screens the user data;
s76: the server side uploads the user data to Kafka;
s77: and the cloud server transmits the data in the Kafka for consumption and then forwards the data according to the user.
After the equipment end data are reported, the server end analyzes the data into data required by the user, then compound operation is carried out on the data and the subscription relation, the data required by the user are filtered and screened, the data are uploaded to the Kafka to ensure that the data are not lost, and finally the server sends the data to be consumed in the Kafka and then forwards the data according to the user. The subscription relation is initiated by the user side, so that the composite processing layer cancels the user data pushing only by sending the cancellation subscription to the middleware when the user cancels the subscription relation.
Fourth embodiment
As shown in fig. 4, the fourth embodiment of the present invention is similar to the third embodiment except for the following design changes. A device of a Kafka-based real-time data parsing and subscribing processing method comprises the following steps:
the data pushing module is used for establishing a data pushing channel with the server;
the authority verification module is used for receiving the user data and performing authority verification;
the data forwarding module is used for sending a message to the Kafka for data forwarding;
the data analysis module is used for analyzing the user data;
the storage module is used for storing the user subscription relationship;
the composite operation module is used for analyzing the data into the data required by the user and then carrying out composite operation on the subscription relation;
and the filtering and screening module is used for filtering and screening the data required by the user.
Fifth embodiment
As shown in fig. 5, a fifth embodiment of the present invention is similar to the fourth embodiment except for the following design changes. A Kafka-based system for a real-time data parsing and subscribing processing method comprises the following steps:
the data source end is used for reading the Kafka cache message in the message queue, adding the amount of data in one day of temporary cache, and storing the Kafka cache message after analysis in the storage module after the client analyzes the Kafka cache message;
and the client is used for analyzing the content of the Kafka cache message after initialization.
Finally, it should be noted that while the present invention has been described with reference to the specific embodiments thereof, it should be understood by those skilled in the art that the above embodiments are only for illustrating the present invention and are not to be construed as limiting the present invention, and various equivalent changes and substitutions may be made therein without departing from the spirit of the present invention, and therefore, it is intended that all changes and modifications to the above embodiments within the spirit and scope of the present invention be covered by the appended claims.
Claims (8)
1. A Kafka-based real-time data analysis and subscription processing method is characterized by comprising the following steps:
step 1: the subscription end sends a subscription data model to the cloud server;
step 2: a data pushing channel is established between the subscription side and the server side;
and step 3: the server receives the user data and carries out authority verification;
and 4, step 4: after the server side checks, sending a message to the middleware for data forwarding;
and 5: the subscription relation part of the server receives the subscription relation through the message middleware and stores the subscription relation locally;
step 6: the data analysis part of the server reports the data to the middleware after receiving the data;
and 7: the data distribution part of the server side receives the data and then performs data combination processing with the subscription relation;
and 8: and the server side sends real-time data to the subscriber side.
2. The Kafka-based real-time data parsing and subscribing processing method according to claim 1, wherein the permission check in step 3 is a validity check of a user subscription relationship.
3. The Kafka-based real-time data parsing and subscribing processing method of claim 1, wherein the middleware in the step 4 is a Kafka cluster server.
4. The Kafka-based real-time data parsing subscription processing method of claim 1, wherein the step 5 of receiving the subscription relationship through the message middleware by the subscription relationship part of the server side includes the following steps:
s51: the subscription end initiates a subscription relation to the cloud server;
s52: the server judges the equipment authority and processes the subscription relationship;
s53: consuming user subscription relationships through Kafka;
s54: storing the user relation model data to a local library;
s55: and storing the user relation model data for database storage.
5. The Kafka-based real-time data parsing and subscribing processing method according to claim 1, wherein the step 7 comprises the steps of:
s71: the equipment side sends user data;
s72: the server side analyzes the data;
s73: the server side loads a subscription relation model;
s74: the server analyzes the data into the data required by the user and then performs composite operation with the subscription relationship;
s75: the server side filters and screens the user data;
s76: the server side uploads the user data to Kafka;
s77: and the cloud server transmits the data in the Kafka for consumption and then forwards the data according to the user.
6. The Kafka-based real-time data parsing and subscribing processing method according to claim 1, wherein the real-time data in step 8 is device data, that is, data reported by the device terminal, and the data reported by the device terminal is reported to the server through an internet of things gateway.
7. A device for analyzing and subscribing a processing method of real-time data based on Kafka is characterized by comprising the following steps:
the data pushing module is used for establishing a data pushing channel with the server;
the authority verification module is used for receiving the user data and performing authority verification;
the data forwarding module is used for sending a message to the Kafka for data forwarding;
the data analysis module is used for analyzing the user data;
the storage module is used for storing the user subscription relationship;
the composite operation module is used for analyzing the data into the data required by the user and then carrying out composite operation on the subscription relation;
and the filtering and screening module is used for filtering and screening the data required by the user.
8. A Kafka-based system for a real-time data parsing and subscribing processing method is characterized by comprising the following steps:
the data source end is used for reading the Kafka cache message in the message queue, adding the amount of data in one day of temporary cache, and storing the Kafka cache message after analysis in the storage module after the client analyzes the Kafka cache message;
and the client is used for analyzing the content of the Kafka cache message after initialization.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115938085A (en) * | 2023-03-13 | 2023-04-07 | 青岛安工数联信息科技有限公司 | Alarm method and device applied to process industry, storage medium and processor |
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