AI - Redis

About Redis

Redis is an open-source in-memory data structure store, developed as a Unix echo server project. It specializes in using small, fast, and an in-memory key-value database with built-in support for various types of data structures like strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, and streams.

The primary focus of Redis is on speed and ease of use. It is known for its ability to process large amounts of data quickly and efficiently. The mission of Redis is to provide a flexible and powerful data structure server that can be used as a database, cache, or message broker.

Redis defines a client structure, which represents a connected client. The client structure contains essential fields such as the file descriptor (fd), query buffer, number of command arguments (argc), array of command arguments (argv), and the Redis database (db). Moreover, it has flags, a list for the reply, and a buffer to store data.

Redis offers various functions for working with these structures, such as lookupKeyRead() and lookupKeyWrite(), which are used to get a pointer to the value associated with a given key or NULL if the key does not exist. Additionally, Redis provides functions like dbAdd() and setKey() to create new keys in a Redis database, and dbDelete() for removing keys and their associated values.

The main functionalities of Redis, including handling client queries and executing commands, are defined inside files such as server.c, db.c, object.c, aof.c, and rdb.c. These files contain functions for managing various data structures like keys and values, performing persistence, and handling client interactions.

Redis implements an API to perform certain operations on the Redis dataset without directly accessing the internal data structures. This includes functions for creating new clients, writing replies to clients, reading queries from clients, processing input buffers, and freeing clients when they are disconnected.