之前分别写过RDB持久化以及AOF持久化的文章,他们各有各的优缺点。rdb文件体积小,加载速度快,但不能做到实时持久化。aof可以做到实时持久化,但是文件体积比起rdb太过巨大。那有没有办法把这两种方式结合起来,文件体积小,另外还能做到实时持久化呢?
非常幸运,redis从4.0后就支持rdb-aof混合持久化了。而且是现在比较推荐的方式。
配置也非常简单,只需要配置两个选项即可。
appendonly yes aof-use-rdb-preamble yes
注意,appendonly也必须设为yes。
案例
通过一个案例,展示给大家看看rdb-aof混合持久化的过程。
目前,我redis数据是空的
cat appendonly.aof
该文件目前没有任务内容。现在,我们执行一条set命令,再来看看
# 执行了一条命令后 127.0.0.1:6379> set name gwx OK # appendonly.aof里面有内容了 # cat appendonly.aof *3 $3 set $4 name $3 gwx
现在aof文件里存放的是正常的aof格式内容。然后再执行bgrewriteaof及一个set命令后,再看看appendonly.aof内容。
127.0.0.1:6379> bgrewriteaof Background append only file rewriting started 127.0.0.1:6379> set age 28 OK # cat appendonly.aof REDIS0009 redis-ver5.0.5 redis-bits
The above is the detailed content of rdb-aof hybrid persistence. For more information, please follow other related articles on the PHP Chinese website!

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.

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.

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

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.

Use of zset in Redis cluster: zset is an ordered collection that associates elements with scores. Sharding strategy: a. Hash sharding: Distribute the hash value according to the zset key. b. Range sharding: divide into ranges according to element scores, and assign each range to different nodes. Read and write operations: a. Read operations: If the zset key belongs to the shard of the current node, it will be processed locally; otherwise, it will be routed to the corresponding shard. b. Write operation: Always routed to shards holding the zset key.


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

DVWA
Damn Vulnerable Web App (DVWA) is a PHP/MySQL web application that is very vulnerable. Its main goals are to be an aid for security professionals to test their skills and tools in a legal environment, to help web developers better understand the process of securing web applications, and to help teachers/students teach/learn in a classroom environment Web application security. The goal of DVWA is to practice some of the most common web vulnerabilities through a simple and straightforward interface, with varying degrees of difficulty. Please note that this software

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

MinGW - Minimalist GNU for Windows
This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.

ZendStudio 13.5.1 Mac
Powerful PHP integrated development environment

WebStorm Mac version
Useful JavaScript development tools