Learn about Redis Cluster caching technology
Redis Cluster is a distributed cache technology based on Redis, which can effectively solve the problem of Redis single point of failure and performance bottleneck. The principles and implementation methods of Redis Cluster have some relatively complex technical details. This article will start from the following aspects to provide readers with a reference for in-depth understanding of Redis Cluster:
1. Basic concepts of Redis Cluster
1.1 Node: Redis Cluster nodes are divided into two types, master node and slave node. A Redis Cluster cluster requires at least 6 nodes, 3 master nodes and 3 slave nodes.
1.2 Handshake: Redis Cluster nodes communicate with each other through a handshake protocol.
1.3 Fault detection and recovery: Redis Cluster can automatically detect node failures. When a node failure is found, it will automatically promote the slave node to the master node to ensure the stability of the cluster.
2. Working principle of Redis Cluster
2.1 Slot allocation: Redis Cluster uses hash slots to implement data sharding. Redis Cluster allocates 16384 hash slots to different nodes, and each node handles a portion of the hash slots.
2.2 Command forwarding: Redis Cluster performs hash calculation on the command sent by the client, and then determines which node the command should be distributed to for processing.
2.3 Data replication: Redis Cluster uses master-slave replication to realize data backup. When the master node fails, it will automatically promote the slave node to the master node.
2.4 Failure recovery: When Redis Cluster discovers that the master node has failed, it will elect a new master node through voting, and then switch the slave node to the new master node.
3. Advantages and Disadvantages of Redis Cluster
3.1 Advantages: Redis Cluster can efficiently handle a large number of concurrent requests, while supporting functions such as read-write separation, horizontal expansion and failover.
3.2 Disadvantages: Compared with traditional single-node Redis, Redis Cluster has a certain degree of complexity. It requires in-depth understanding and mastery of Redis Cluster, and more complex operation and maintenance management.
4. Usage scenarios of Redis Cluster
4.1 High concurrency scenarios: Redis Cluster can efficiently handle a large number of concurrent requests and is suitable for business scenarios that require high concurrency support.
4.2 Multi-data center scenario: Redis Cluster supports deployment across data centers and has good applicability in multi-data center scenarios.
4.3 Read-write separation scenario: Redis Cluster supports the read-write separation function and is suitable for read-write separation scenarios.
In short, Redis Cluster, as a distributed caching technology, has a wide range of application scenarios and is one of the key technologies used by many large Internet companies. Redis Cluster is a good choice for applications that need to handle high concurrent requests and require high availability. At the same time, the configuration and management of Redis Cluster is also a very important part. Users need to fully understand the principles and implementation methods of Redis Cluster in order to better utilize the advantages of Redis Cluster.
The above is the detailed content of Learn about Redis Cluster caching technology. For more information, please follow other related articles on the PHP Chinese website!

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

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



Redis cluster mode deploys Redis instances to multiple servers through sharding, improving scalability and availability. The construction steps are as follows: Create odd Redis instances with different ports; Create 3 sentinel instances, monitor Redis instances and failover; configure sentinel configuration files, add monitoring Redis instance information and failover settings; configure Redis instance configuration files, enable cluster mode and specify the cluster information file path; create nodes.conf file, containing information of each Redis instance; start the cluster, execute the create command to create a cluster and specify the number of replicas; log in to the cluster to execute the CLUSTER INFO command to verify the cluster status; make

How to clear Redis data: Use the FLUSHALL command to clear all key values. Use the FLUSHDB command to clear the key value of the currently selected database. Use SELECT to switch databases, and then use FLUSHDB to clear multiple databases. Use the DEL command to delete a specific key. Use the redis-cli tool to clear the data.

To read a queue from Redis, you need to get the queue name, read the elements using the LPOP command, and process the empty queue. The specific steps are as follows: Get the queue name: name it with the prefix of "queue:" such as "queue:my-queue". Use the LPOP command: Eject the element from the head of the queue and return its value, such as LPOP queue:my-queue. Processing empty queues: If the queue is empty, LPOP returns nil, and you can check whether the queue exists before reading the element.

Using the Redis directive requires the following steps: Open the Redis client. Enter the command (verb key value). Provides the required parameters (varies from instruction to instruction). Press Enter to execute the command. Redis returns a response indicating the result of the operation (usually OK or -ERR).

Using Redis to lock operations requires obtaining the lock through the SETNX command, and then using the EXPIRE command to set the expiration time. The specific steps are: (1) Use the SETNX command to try to set a key-value pair; (2) Use the EXPIRE command to set the expiration time for the lock; (3) Use the DEL command to delete the lock when the lock is no longer needed.

The best way to understand Redis source code is to go step by step: get familiar with the basics of Redis. Select a specific module or function as the starting point. Start with the entry point of the module or function and view the code line by line. View the code through the function call chain. Be familiar with the underlying data structures used by Redis. Identify the algorithm used by Redis.

Redis data loss causes include memory failures, power outages, human errors, and hardware failures. The solutions are: 1. Store data to disk with RDB or AOF persistence; 2. Copy to multiple servers for high availability; 3. HA with Redis Sentinel or Redis Cluster; 4. Create snapshots to back up data; 5. Implement best practices such as persistence, replication, snapshots, monitoring, and security measures.

Use the Redis command line tool (redis-cli) to manage and operate Redis through the following steps: Connect to the server, specify the address and port. Send commands to the server using the command name and parameters. Use the HELP command to view help information for a specific command. Use the QUIT command to exit the command line tool.
