There are 16384 hash slots built into the Redis cluster. When a key-value needs to be placed in the Redis cluster, redis first uses the crc16 algorithm to calculate a result for the key, and then calculates the result against 16384 Remainder, so that each key will correspond to a hash slot numbered between 0-16383, and redis will map the hash slots to different nodes roughly equally according to the number of nodes. Redis cluster does not use consistent hashing, but introduces the concept of hash slots.
The Redis cluster has 16384 hash slots. Each key is checked modulo 16384 after CRC16 verification to determine which slot to place. Each node in the cluster is responsible for a part of the hash. groove. This structure makes it easy to add or delete nodes, and whether a node is added, deleted, or modified, it will not cause the cluster to become unavailable.
The advantage of using hash slot is that you can easily add or remove nodes.
When you need to add a node, you only need to move some hash slots of other nodes to the new node;
When you need to remove a node, Just move the hash slot on the removed node to other nodes;
At this point, we don’t need to stop all redis services when adding or removing nodes in the future. .
In redis, the simplest way to put a key-value pair is to set key value, as shown below:
127.0.0.1:7000> set key value -> Redirected to slot [12539] located at 192.168.39.153:7002 OK 192.168.39.153:7002> get key "value" 192.168.39.153:7002>
It can be seen that when we When setting the key value to value, the client was redirected to another node 192.168.39.153:7002. This is because the slot corresponding to the key is 12359, so our key-value is placed in the slot corresponding to 12359. Node, 192.168.39.153:7002.
Redis Cluster is a simple hash algorithm of crc16 made by myself, without consistent hashing. The author of Redis believes that the effect of its crc16(key) mod 16384 is already good. Although it is not as flexible as consistent hashing, the implementation is very simple, and it is also very convenient to handle when nodes are added or deleted.
Not losing data when nodes are added or deleted has nothing to do with the hash algorithm. What is required to not lose data is that one piece of data has multiple copies. When you add a Key to Redis Cluster, it will be calculated according to crc16(key) mod 16384 which hash slot the key should be distributed to. There will be many keys and values in a hash slot. You can understand it as table partition. When using redis on a single node, there is only one table, and all keys are placed in this table. After switching to Redis Cluster, 16384 partition tables will be automatically generated for you. When you insert data, it will be based on The above simple algorithm determines which partition your key should exist in. There are many keys in each partition.The above is the detailed content of How many slots does redis have?. For more information, please follow other related articles on the PHP Chinese website!

Redis improves application performance and scalability by caching data, implementing distributed locking and data persistence. 1) Cache data: Use Redis to cache frequently accessed data to improve data access speed. 2) Distributed lock: Use Redis to implement distributed locks to ensure the security of operation in a distributed environment. 3) Data persistence: Ensure data security through RDB and AOF mechanisms to prevent data loss.

Redis's data model and structure include five main types: 1. String: used to store text or binary data, and supports atomic operations. 2. List: Ordered elements collection, suitable for queues and stacks. 3. Set: Unordered unique elements set, supporting set operation. 4. Ordered Set (SortedSet): A unique set of elements with scores, suitable for rankings. 5. Hash table (Hash): a collection of key-value pairs, suitable for storing objects.

Redis's database methods include in-memory databases and key-value storage. 1) Redis stores data in memory, and reads and writes fast. 2) It uses key-value pairs to store data, supports complex data structures such as lists, collections, hash tables and ordered collections, suitable for caches and NoSQL databases.

Redis is a powerful database solution because it provides fast performance, rich data structures, high availability and scalability, persistence capabilities, and a wide range of ecosystem support. 1) Extremely fast performance: Redis's data is stored in memory and has extremely fast read and write speeds, suitable for high concurrency and low latency applications. 2) Rich data structure: supports multiple data types, such as lists, collections, etc., which are suitable for a variety of scenarios. 3) High availability and scalability: supports master-slave replication and cluster mode to achieve high availability and horizontal scalability. 4) Persistence and data security: Data persistence is achieved through RDB and AOF to ensure data integrity and reliability. 5) Wide ecosystem and community support: with a huge ecosystem and active community,

Key features of Redis include speed, flexibility and rich data structure support. 1) Speed: Redis is an in-memory database, and read and write operations are almost instantaneous, suitable for cache and session management. 2) Flexibility: Supports multiple data structures, such as strings, lists, collections, etc., which are suitable for complex data processing. 3) Data structure support: provides strings, lists, collections, hash tables, etc., which are suitable for different business needs.

The core function of Redis is a high-performance in-memory data storage and processing system. 1) High-speed data access: Redis stores data in memory and provides microsecond-level read and write speed. 2) Rich data structure: supports strings, lists, collections, etc., and adapts to a variety of application scenarios. 3) Persistence: Persist data to disk through RDB and AOF. 4) Publish subscription: Can be used in message queues or real-time communication systems.

Redis supports a variety of data structures, including: 1. String, suitable for storing single-value data; 2. List, suitable for queues and stacks; 3. Set, used for storing non-duplicate data; 4. Ordered Set, suitable for ranking lists and priority queues; 5. Hash table, suitable for storing object or structured data.

Redis counter is a mechanism that uses Redis key-value pair storage to implement counting operations, including the following steps: creating counter keys, increasing counts, decreasing counts, resetting counts, and obtaining counts. The advantages of Redis counters include fast speed, high concurrency, durability and simplicity and ease of use. It can be used in scenarios such as user access counting, real-time metric tracking, game scores and rankings, and order processing counting.


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

EditPlus Chinese cracked version
Small size, syntax highlighting, does not support code prompt function

WebStorm Mac version
Useful JavaScript development tools

Safe Exam Browser
Safe Exam Browser is a secure browser environment for taking online exams securely. This software turns any computer into a secure workstation. It controls access to any utility and prevents students from using unauthorized resources.

SublimeText3 English version
Recommended: Win version, supports code prompts!

Zend Studio 13.0.1
Powerful PHP integrated development environment