Redis is an in-memory data structure store that may be used as a distributed, in-memory key–value database, cache, and message broker with configurable persistence.
Strings, lists, maps, sets, sorted sets, streams, and geographical indices are among the abstract data structures supported by Redis.
We can use it to store key value mechanism data, and it's extremely quick. It also has a TTL, so if we want to expire a key after a certain period of time, the Redis algorithm will automatically detect and delete it.
Redis may now be used in a variety of ways, including session management, realtime tracking, pub-sub, and many others.
To test your knowledge, here is a selection of Redis MCQs. You may take these tests as many times as you like, and the results will appear as soon as you select an option.
We also have MCQ questions for Redis and MySQL quizzes, as well as other programming languages and technological stacks.
Using Redis in our tech stack is quite beneficial since it offers a variety of services, including key-value storage, streams and lists, and publisher-subscriber functionality.
It provides multiple data structures that store our data in disc and ram. Even if our programme crashes, those data are still in our storage, so rather than recalculating those events and increasing CPU load, redis helps us to provide those data structures to store in DB and share with us whenever we need them.
If we use our software to produce a sorted list for a large file and then need to restart it, the programme will compute all over again. Redis assists us in storing the data and saving our calculations.
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