Home Database Redis Introduction to Redis binary protocol and API

Introduction to Redis binary protocol and API

May 10, 2023 pm 09:51 PM
redis api binary protocol

Redis is a fast, lightweight key-value storage database that is widely used in web applications, caching, messaging and real-time analysis. In Redis, key-value pairs are a basic data structure that can store any type of data, including strings, integers, lists, sets, ordered sets, hash tables, etc. Redis uses memory-based storage, which has faster read and write performance and higher concurrency performance than traditional disk storage.

Redis’ binary protocol

Redis provides a variety of different client interfaces, including command line interfaces, Redis client libraries, and RESTful interfaces. Among them, the most basic client interface is the binary protocol of Redis. The binary protocol of Redis is a protocol based on the TCP/IP protocol stack, which is used for communication between the Redis client and the Redis server. The binary protocol of Redis adopts a concise text format. Each command ends with "
", with "$" indicating the parameter length, and "*" indicating the number of parameters.

The following is an example of a Redis binary protocol:

*3

$3

SET

$5

mykey

$7

myvalue

This command means to set a key-value pair with the key "mykey" and the value "myvalue" to the Redis server. Among them, "*3" indicates that the number of parameters is 3, "$3" indicates that the length of the first parameter is 3, "SET" indicates that the first parameter is "SET", "$5" indicates that the length of the second parameter is 5, "mykey" means that the second parameter is "mykey", "$7" means that the length of the third parameter is 7, and "myvalue" means that the third parameter is "myvalue".

API introduction to Redis

In addition to the binary protocol, Redis also provides API interfaces for a variety of client libraries, including client libraries in C/C, Java, Python and other languages. These client libraries provide more convenient and easy-to-use API interfaces, allowing developers to use Redis functions more conveniently.

C/C client library

C/C client library is the client library officially provided by Redis. It supports low-level operations, is simple in design, and runs quickly. C/C client libraries include hiredis and redis-plus-plus. hiredis is a Redis client library for C. It provides an API interface for interacting with the Redis server and supports both blocking and non-blocking operation modes. redis-plus-plus is a C Redis client library, which is implemented based on hiredis and provides a more easy-to-use C API interface.

Java Client Library

Jedis is a Redis client library in Java language. It supports high-level operations, provides a Java-based API interface, and supports connection pools, distributed locks, Functions such as transactions and Scripting. Jedis provides API interfaces for operating data structures such as Redis key-value pairs, hash tables, lists, sets, ordered sets, etc., and supports features such as asynchronous operations and connection reuse.

Python client library

redis-py is a Redis client library in Python language. It provides a Pythonic style API interface and supports connection pooling, Pub/Sub, transactions, and Lua Scripting. and other functions. redis-py provides API interfaces for operating data structures such as Redis key-value pairs, hash tables, lists, sets, ordered sets, etc., and supports features such as asynchronous operations and connection reuse.

Summary

The binary protocol and API of Redis are the basis for communication between the Redis client and the Redis server. The binary protocol of Redis adopts a concise and efficient text format and provides basic Redis server command and parameter parsing methods. The Redis client library provides a more convenient and easy-to-use API interface and supports high-level functions, allowing developers to use Redis functions more conveniently. Whether using the Redis binary protocol or API interface, developers need to choose the appropriate method based on specific application scenarios to achieve more efficient Redis applications.

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