What data does redis generally cache?
redis mainly has the following data types:
string
##hash
## listset
sorted set
This is the simplest type, which is ordinary set and get, and does simple KV caching.
set college szu
This is a structure similar to map. This generally allows structured data, such as an object (provided that the object is not nested Other objects) are cached in redis, and then every time you read or write the cache, you can operate a certain field in the hash.
hset person name bingo hset person age 20 hset person id 1 hget person name person = { "name": "bingo", "age": 20, "id": 1 }
list is an ordered list, which can be used in many ways.
For example, you can use list to store some list-type data structures, such as fan lists, article comment lists, and the like.
For example, you can use the lrange command to read elements in a certain closed range, and you can implement paging queries based on list. This is a great function. Based on redis, you can implement simple high-performance paging, and you can do things like micro Bo is something like drop-down and continuous pagination. It has high performance and can go page by page.
# 0 starting position, -1 ending position. When the ending position is -1, it means the last position in the list, that is, view all.
lrange mylist 0 -1
For example, you can create a simple message queue, enter it from the head of the list, and get it out from the tail of the list.
lpush mylist 1 lpush mylist 2 lpush mylist 3 4 5 # 1 rpop mylist
set is an unordered set that automatically removes duplicates.
Throw the data that needs to be deduplicated in the system directly based on the set, and it will be automatically deduplicated. If you need to quickly global deduplication of some data, you can of course also use the HashSet in the jvm memory. Perform deduplication, but what if one of your systems is deployed on multiple machines? Global set deduplication must be performed based on redis.
You can play intersection, union, and difference operations based on set. For example, if you intersect, you can combine the fan lists of two people to see who their common friends are. Right.
Put the fans of the two big Vs into two sets, and make an intersection between the two sets.
#-------操作一个set------- # 添加元素 sadd mySet 1 # 查看全部元素 smembers mySet # 判断是否包含某个值 sismember mySet 3 # 删除某个/些元素 srem mySet 1 srem mySet 2 4 # 查看元素个数 scard mySet # 随机删除一个元素 spop mySet #-------操作多个set------- # 将一个set的元素移动到另外一个set smove yourSet mySet 2 # 求两set的交集 sinter yourSet mySet # 求两set的并集 sunion yourSet mySet # 求在yourSet中而不在mySet中的元素 sdiff yourSet mySet
sorted set is a sorted set, which removes duplication but can be sorted. When writing in, a score is given and it is automatically sorted according to the score.
zadd board 85 zhangsan zadd board 72 lisi zadd board 96 wangwu zadd board 63 zhaoliu # 获取排名前三的用户(默认是升序,所以需要 rev 改为降序) zrevrange board 0 3 # 获取某用户的排名 zrank board zhaoliu
The above is the detailed content of What data does redis generally cache?. 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.

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)

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 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.

There are two types of Redis data expiration strategies: periodic deletion: periodic scan to delete the expired key, which can be set through expired-time-cap-remove-count and expired-time-cap-remove-delay parameters. Lazy Deletion: Check for deletion expired keys only when keys are read or written. They can be set through lazyfree-lazy-eviction, lazyfree-lazy-expire, lazyfree-lazy-user-del parameters.

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
