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The stream is a new data type introduced with redis 5.0, which models a log data structure in a more abstract way, however the essence of the log is still intact In this comprehensive guide, we‘ll cover everything you need to know to build scalable stream processing architectures using redis streams, from basic syntax up through advanced production practices. Like a log file, often implemented as a file open in append only mode, redis streams are primarily an append only data structure.

In this article, we will dive deep into redis streams These include random access in o (1) time and complex consumption strategies, such as consumer groups. We'll start by covering its core concepts and architecture, followed by an analysis of its pros and cons

Simply put, redis streams provide highly efficient inserts and reads

See each command's time complexity for the details Redis streams provide read commands that allow consumption of the stream from an arbitrary position (random access) within the known stream content and beyond the stream end to consume new stream record.

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