Several data types of redis

Redis supports ten data types, providing flexibility for storing and processing different types of data: 1. String: stores a single value; 2. Hash: a data structure of key-value pairs; 3. List: Ordered sequence; 4. Set: a collection of unique values; 5. Ordered set: a weighted set; 6. Stream: a time-based sustainable data set; 7. Geography: geographical location data; 8. HyperLogLog: estimation A probabilistic data structure with a unique number of elements; 9. Bitmap: a compact data structure that represents a set of bits; 10. Module: provides other data types through extensions.

Data types of Redis

Redis is a powerful key-value database that supports a variety of complex data type. These data types provide flexibility in storing and processing different types of data, making them ideal for a variety of applications.

String

String is the most basic data type, used to store a single value. They can contain any type of character data, such as text, numbers, binary data, etc.

Hash

A hash is a key-value pair data structure that maps a field (key) to a value. This makes it easy to quickly store and retrieve information based on fields.

List

A list is an ordered sequence used to store a set of values. You can use operations such as push, pop, insert, and remove to manage values ​​in the list.

Set

A set is a collection of unique values. It provides quick operations for adding, removing, and checking membership.

ZSet

An ordered set is a weighted set in which each member is associated with a score. This allows setting priorities between members and sorting them based on scores.

Stream

A stream is a time-based, sustainable data set designed to handle an unlimited number of messages. It provides functions for appending, trimming and reading messages.

Geo

Geo is a geographic data type used to store geographic locations such as longitude and latitude. It supports geo-queries on locations, such as finding locations within a given radius.

HyperLogLog

HyperLogLog is a probabilistic data structure that estimates the number of unique elements in a large collection. It provides approximate accuracy while using very little memory overhead.

Bitmap

A bitmap is a compact data structure used to represent a group of bits. It supports setting, clearing, and checking bits, making it ideal for tracking status or counting.

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