Data high-concurrency processing method of healthy social platform Feed stream system

A technology of social platform and processing method, which is applied in the field of high concurrency processing of data, can solve problems such as inability to dynamically transmit data to subscribers, high concurrency performance bottlenecks, connection timeouts, etc., to improve user experience, reduce memory requirements, and reduce difficulty Effect
CN112861016AInactive Publication Date: 2021-05-28深圳市蟠桃树科技有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
深圳市蟠桃树科技有限公司
Publication Date
2021-05-28
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention belongs to the technical field of a data high-concurrency processing method for saving tweet into a database so that tweetmeta is saved into timeline. The method comprises the following steps of S1, when a user issues the tweet, writing the tweet meta into a timeline list by fanout according to a local graph; only saving metadata and supporting pushing a large amount of metadata by Redis; S2, when the user checks the own timeline, enabling the user to directly take the tweetmeta from the own timeline, and then obtain the corresponding tweet data from the DB; by upgrading an SNS social system, design and development of a ten-million-level data Feed stream service system can be realized, and better system performance is provided; a processing method optimizes and enhances a social recommendation algorithm, optimizes accurate data matching and solves the problem of data repetition in the social relationship; and the user is effectively promoted to increase the communication frequency and activeness, and the user experience is improved.
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Description

technical field

[0001] The invention belongs to the technical field of high-concurrency data processing methods, and in particular relates to a high-concurrency data processing method for a health social platform Feed flow system. Background technique

[0002] The data collection of big data is based on the determination of the user's goals, and aims at the collection of all structured, semi-structured and unstructured data within the scope, and processes these data after collection, and analyzes and excavates valuable information from them. Information. In the process of collecting big data, it faces two main challenges. One is the diversity of communication protocols and data protocols of heterogeneous IoT devices; the two most critical cores of the feed stream system are storage, One is push. The content that needs to be stored in the feed stream system is divided into two parts, one is social relations (such as friends, community members, watch list), and the other is ...

Claims

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