Timeseries in Redis with Streams

01-Feb-2019 2349
Redis Streams represent an append-only timeseries of key-value pairs.Any number of clients can write to a Stream and each time they do they receive a unique ascending ID of the item that was inserted into the timeseries.Clients reading data can block while listening for new data coming in, can maintain a “bookmark” of the last message read for batch processing, or can be organized into more complex “consumer groups” for sharing workloads and acknowledging messages.Streams are a large topic, so this post will just look briefly at how to use them to model timeseries data in Redis. The new data structure makes this dramatically more simple than previous approaches like using List or Sorted Set types to model timeseries.For the code examples here we’ll use redis-rb:.
Use coupon code:

RUBYONRAILS

to get 30% discount on our bundle!
Prepare for your next tech interview with our comprehensive collection of programming interview guides. Covering JavaScript, Ruby on Rails, React, and Python, these highly-rated books offer thousands of essential questions and answers to boost your interview success. Buy our 'Ultimate Job Interview Preparation eBook Bundle' featuring 2200+ questions across multiple languages. Ultimate Job Interview Preparation eBook Bundle