Redis cluster expansion plan and implementation details
Redis is a high-performance open source memory data storage service. It is increasingly favored by developers because of its fast read and write speed, persistent storage and support for multiple data structures. As the business continues to grow, the storage capacity of Redis can no longer meet the demand, and it needs to be expanded. This article will introduce the Redis cluster expansion plan and its implementation details.
- The concept of Redis cluster
Redis cluster refers to connecting multiple Redis instances together to form a large set of Redis instances, which can improve the availability and capacity of Redis . In a Redis cluster, each instance is responsible for saving part of the data, and all instances work together to form a logical Redis instance. When there is new data that needs to be stored, hash calculation is performed based on the Key value of the data, and the corresponding instance is selected for storage.
- Expansion plan of Redis cluster
The expansion of Redis cluster is divided into two methods: vertical expansion and horizontal expansion.
2.1 Vertical expansion
Vertical expansion refers to improving the capacity and performance of the Redis cluster by increasing the hardware performance of the server, including the upgrade of CPU, memory, hard disk and other hardware. The advantage of vertical expansion is that it is simple to operate, does not require data migration, and has a small impact on the business. However, the disadvantage is that it is more expensive, cannot meet high concurrent read and write requirements, and is difficult to ensure high system availability.
2.2 Horizontal expansion
Horizontal expansion refers to expanding the capacity and performance of the Redis cluster by increasing the number of server nodes, including splitting, merging, horizontal expansion and other methods. The advantage of horizontal expansion is that the cost is relatively low and it can meet high concurrent reading and writing requirements. The disadvantage is that data migration is required, which has a greater impact on the business.
- Redis cluster expansion implementation
Generally, we expand the Redis cluster by adding Redis nodes. The specific implementation steps are as follows:
3.1 Create a new Redis node
First, we need to install the Redis service on the new server, and then modify the configuration file. The configuration file needs to specify the port of the node, the IP address of the node, the node type as slave, and the IP address and port of the master node.
3.2 Add the new node to the cluster
Run the command redis-trib.rb to bind the original node and the new node:
redis-trib.rb add-node new_node_ip:new_node_port old_node_ip:old_node_port
3.3 Data migration after adding nodes
At this time, the new node has joined the Redis cluster, but there is no data yet. We need to transfer data through data migration, migrating part of the data from the original node to the new node. Redis provides migration instructions as follows:
redis-cli --cluster reshard old_node_ip:old_node_port
After the instruction is executed, you will be prompted to enter the amount of data to be migrated and the IP of the target Redis node. Address and port number, etc. During the migration process, the original Redis node needs to use part of the bandwidth to send data to the new Redis node, which may have a certain impact on the business. Therefore, data migration should be carried out during low business peak periods to avoid affecting service quality.
- Redis cluster maintenance after expansion
After the Redis cluster is expanded, the Redis cluster needs to be maintained to ensure the high availability of the system. The main maintenance methods include:
4.1 Monitor the running status of the Redis cluster
It is necessary to monitor the running status of the Redis cluster in real time and understand the read and write QPS, memory usage, request response delay, and network of the cluster. Bandwidth occupancy and other indicators, problems can be discovered and dealt with in a timely manner.
4.2 Unified management of Redis cluster
Conduct unified management of Redis cluster, including cluster backup, recovery, fault handling, upgrade and other important tasks. In addition, cluster data also needs to be backed up and restored to ensure data availability and security.
- Summary
Redis cluster is a high-availability, high-performance, and scalable data storage solution that can meet the needs of different businesses. During the Redis cluster expansion process, we need to choose an appropriate expansion plan, migrate data during low business peak periods, and conduct unified management and maintenance of the expanded Redis cluster to ensure system stability and high availability.
The above is the detailed content of Redis cluster expansion plan and implementation details. For more information, please follow other related articles on the PHP Chinese website!

Redis is an open source memory data structure storage used as a database, cache and message broker, suitable for scenarios where fast response and high concurrency are required. 1.Redis uses memory to store data and provides microsecond read and write speed. 2. It supports a variety of data structures, such as strings, lists, collections, etc. 3. Redis realizes data persistence through RDB and AOF mechanisms. 4. Use single-threaded model and multiplexing technology to handle requests efficiently. 5. Performance optimization strategies include LRU algorithm and cluster mode.

Redis's functions mainly include cache, session management and other functions: 1) The cache function stores data through memory to improve reading speed, and is suitable for high-frequency access scenarios such as e-commerce websites; 2) The session management function shares session data in a distributed system and automatically cleans it through an expiration time mechanism; 3) Other functions such as publish-subscribe mode, distributed locks and counters, suitable for real-time message push and multi-threaded systems and other scenarios.

Redis's core functions include memory storage and persistence mechanisms. 1) Memory storage provides extremely fast read and write speeds, suitable for high-performance applications. 2) Persistence ensures that data is not lost through RDB and AOF, and the choice is based on application needs.

Redis'sServer-SideOperationsofferFunctionsandTriggersforexecutingcomplexoperationsontheserver.1)FunctionsallowcustomoperationsinLua,JavaScript,orRedis'sscriptinglanguage,enhancingscalabilityandmaintenance.2)Triggersenableautomaticfunctionexecutionone

Redisisbothadatabaseandaserver.1)Asadatabase,itusesin-memorystorageforfastaccess,idealforreal-timeapplicationsandcaching.2)Asaserver,itsupportspub/submessagingandLuascriptingforreal-timecommunicationandserver-sideoperations.

Redis is a NoSQL database that provides high performance and flexibility. 1) Store data through key-value pairs, suitable for processing large-scale data and high concurrency. 2) Memory storage and single-threaded models ensure fast read and write and atomicity. 3) Use RDB and AOF mechanisms to persist data, supporting high availability and scale-out.

Redis is a memory data structure storage system, mainly used as a database, cache and message broker. Its core features include single-threaded model, I/O multiplexing, persistence mechanism, replication and clustering functions. Redis is commonly used in practical applications for caching, session storage, and message queues. It can significantly improve its performance by selecting the right data structure, using pipelines and transactions, and monitoring and tuning.

The main difference between Redis and SQL databases is that Redis is an in-memory database, suitable for high performance and flexibility requirements; SQL database is a relational database, suitable for complex queries and data consistency requirements. Specifically, 1) Redis provides high-speed data access and caching services, supports multiple data types, suitable for caching and real-time data processing; 2) SQL database manages data through a table structure, supports complex queries and transaction processing, and is suitable for scenarios such as e-commerce and financial systems that require data consistency.


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

VSCode Windows 64-bit Download
A free and powerful IDE editor launched by Microsoft

MantisBT
Mantis is an easy-to-deploy web-based defect tracking tool designed to aid in product defect tracking. It requires PHP, MySQL and a web server. Check out our demo and hosting services.

PhpStorm Mac version
The latest (2018.2.1) professional PHP integrated development tool

Zend Studio 13.0.1
Powerful PHP integrated development environment

mPDF
mPDF is a PHP library that can generate PDF files from UTF-8 encoded HTML. The original author, Ian Back, wrote mPDF to output PDF files "on the fly" from his website and handle different languages. It is slower than original scripts like HTML2FPDF and produces larger files when using Unicode fonts, but supports CSS styles etc. and has a lot of enhancements. Supports almost all languages, including RTL (Arabic and Hebrew) and CJK (Chinese, Japanese and Korean). Supports nested block-level elements (such as P, DIV),
