How to replicate the redis cluster
Redis cluster replication is a data redundancy mechanism that uses the master-slave model to implement: the master instance handles writes and reads, sending data changes to the replica. The replica instance is only responsible for reading, receiving and storing data changes from the primary instance. Through the replication protocol implementation, the master instance tracks the replica status and sends database changes incrementally. Provides high availability, scalability, and data protection. Configuration includes selecting the primary instance, creating a replica, enabling replication, and monitoring the replication process.
Redis cluster replication
What is cluster replication?
Redis cluster replication is a data redundancy mechanism that allows data to be replicated from one Redis instance to multiple other instances (called replicas).
How does cluster replication work?
Cluster Replication is a master-slave model where:
- Master instance: Responsible for handling write and read operations and sending data changes to the replica instance.
- Replica instance: Receive data changes from the primary instance and store them in its local database. They are only responsible for read operations.
Implementation of cluster replication
Redis cluster replication uses a mechanism called the replication protocol . This protocol allows the primary instance to track the status of the replica instance and send changes to its database incrementally.
Advantages of cluster replication
- High Availability: If the primary instance fails, the replica instance can be taken over immediately without losing any data.
- Scalability: You can improve read performance of your cluster by adding more replica instances.
- Data protection: Data redundancy protects against accidental data loss or corruption.
Configure cluster replication
To configure replication in a Redis cluster, you need to perform the following steps:
- Select a main instance: This will become an instance containing the original data.
- Create replica instances: Configure these instances to receive data from the primary instance.
- Enable replication: Enable replication settings in the primary and replica instances.
- Monitor replication: Use commands such as
INFO REPLICATION
to monitor the status and progress of the replication process.
Things to note
- Replica instances always lag behind the primary instance, so there may be data latency.
- If the replica instance loses contact with the primary instance, it will attempt to reconnect.
- It is recommended to use Sentinel tools to automate failover and replica management.
The above is the detailed content of How to replicate the redis cluster. 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

On CentOS systems, you can limit the execution time of Lua scripts by modifying Redis configuration files or using Redis commands to prevent malicious scripts from consuming too much resources. Method 1: Modify the Redis configuration file and locate the Redis configuration file: The Redis configuration file is usually located in /etc/redis/redis.conf. Edit configuration file: Open the configuration file using a text editor (such as vi or nano): sudovi/etc/redis/redis.conf Set the Lua script execution time limit: Add or modify the following lines in the configuration file to set the maximum execution time of the Lua script (unit: milliseconds)

The steps to update a Docker image are as follows: Pull the latest image tag New image Delete the old image for a specific tag (optional) Restart the container (if needed)

Common problems and solutions for Hadoop Distributed File System (HDFS) configuration under CentOS When building a HadoopHDFS cluster on CentOS, some common misconfigurations may lead to performance degradation, data loss and even the cluster cannot start. This article summarizes these common problems and their solutions to help you avoid these pitfalls and ensure the stability and efficient operation of your HDFS cluster. Rack-aware configuration error: Problem: Rack-aware information is not configured correctly, resulting in uneven distribution of data block replicas and increasing network load. Solution: Double check the rack-aware configuration in the hdfs-site.xml file and use hdfsdfsadmin-printTopo

CentOS will be shut down in 2024 because its upstream distribution, RHEL 8, has been shut down. This shutdown will affect the CentOS 8 system, preventing it from continuing to receive updates. Users should plan for migration, and recommended options include CentOS Stream, AlmaLinux, and Rocky Linux to keep the system safe and stable.

In Debian systems, readdir system calls are used to read directory contents. If its performance is not good, try the following optimization strategy: Simplify the number of directory files: Split large directories into multiple small directories as much as possible, reducing the number of items processed per readdir call. Enable directory content caching: build a cache mechanism, update the cache regularly or when directory content changes, and reduce frequent calls to readdir. Memory caches (such as Memcached or Redis) or local caches (such as files or databases) can be considered. Adopt efficient data structure: If you implement directory traversal by yourself, select more efficient data structures (such as hash tables instead of linear search) to store and access directory information

To improve the performance of PostgreSQL database in Debian systems, it is necessary to comprehensively consider hardware, configuration, indexing, query and other aspects. The following strategies can effectively optimize database performance: 1. Hardware resource optimization memory expansion: Adequate memory is crucial to cache data and indexes. High-speed storage: Using SSD SSD drives can significantly improve I/O performance. Multi-core processor: Make full use of multi-core processors to implement parallel query processing. 2. Database parameter tuning shared_buffers: According to the system memory size setting, it is recommended to set it to 25%-40% of system memory. work_mem: Controls the memory of sorting and hashing operations, usually set to 64MB to 256M

Enable Redis slow query logs on CentOS system to improve performance diagnostic efficiency. The following steps will guide you through the configuration: Step 1: Locate and edit the Redis configuration file First, find the Redis configuration file, usually located in /etc/redis/redis.conf. Open the configuration file with the following command: sudovi/etc/redis/redis.conf Step 2: Adjust the slow query log parameters in the configuration file, find and modify the following parameters: #slow query threshold (ms)slowlog-log-slower-than10000#Maximum number of entries for slow query log slowlog-max-len
