Redis pipeline communication-based message passing method and system

Abstract

The invention provides a Redis pipeline communication-based message passing method. The method comprises the following steps: 1, receiving data messages, reading basic data, packaging the basic data, calling an issue instruction, issuing the data messages into different channels of a Redis server according to the types of the data messages, and storing the packaged basic data in the Redis server; 2, calling a subscription instruction by a business processing platform to obtain the data messages in corresponding channels; 3, filtering the subscribed data messages by the business processing platform; 4, carrying out format conversion on the filtered data messages by the business processing platform through using a packaged interface, and analyzing the filtered data messages according to the packaged basic data messages; and 5, obtaining the analyzed data messages by the business processing platform, and transmitting the data messages to user software to display. The invention furthermore provides a Redis pipeline communication-based message passing system through which the messages can be rapidly and effectively transmitted and the failover can be carried out automatically.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a message delivery method and system based on Redis pipeline communication. Background technique [0002] Redis is an open source, network-enabled, memory-based key-value pair storage database that supports multiple data types and operations, and has powerful data management functions. The emergence of Redis largely compensates for the lack of key / value storage such as memcached, and can play a very good supplementary role in relational databases in some occasions. It provides clients such as Java, C / C++, C#, PHP, JavaScript, Perl, Object-C, Python, Ruby, Erlang, etc., which are very convenient to use. Due to its high performance and simple operation commands, Redis can be used as a buffer between software and traditional databases, ensuring high performance while ensuring data validity. [0003] Redis supports master-slave synchronization. Data can be synchronized f...

AI Technical Summary

Problems solved by technology

[0005] 1. The reading and writing of the database are not separated. Mutex locks will lead to low reading and writing efficiency. The more servers the business processing platform load balances, the more frequent the data access and the slower the reading;

[0006] 2. The business data is stored and retrieved in bulk, and the business processing platform will fetch more redundant data, which increases the data processing pressure of the business processing platform

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