redis implements batch deletion:
1. Access the redis root directory cd /usr/local/redis-2.8.19
2. Log in to redis : redis-cli -h 127.0.0.1 -p 6379 (where 127.0.0.1 can be written as the IP address of the server, and 6379 is the port number)
3. View all key values: keys *
4. Delete the value of the specified index: del key
5. Clear the data of the entire Redis server: flushall
6. Clear all keys in the current library: flushdb
[First method]:
The following is a batch deletion of all redis data starting with "key_", the number of which is 100
redis-cli -h (IP地址) -p 6379 (端口号:6379) KEYS key_* | xargs redis-cli (-h (IP地址) -p 6379 (端口号:6379)) del =>[执行后返回的结果影响数量]:(integer) 100[数量100个]
[Specific usage of the DEL function in the above command]:
DEL key [key ...]
Delete one or more given keys.
Non-existing keys will be ignored.
Time complexity:
O(N), N is the number of deleted keys.
Delete a single string type key, the time complexity is O(1).
Delete a single list, set, ordered set or hash table type key, the time complexity is O(M), M is the number of elements in the above data structure.
Return value:
The number of deleted keys.
[Example]:
# 删除单个 key redis> SET name huangz OK redis> DEL name (integer) 1 # 删除一个不存在的 key redis> EXISTS phone (integer) 0 redis> DEL phone # 失败,没有 key 被删除 (integer) 0 # 同时删除多个 key redis> SET name "redis" OK redis> SET type "key-value store" OK redis> SET website "redis.com" OK redis> DEL name type website (integer) 3
[Second method]:
Disadvantages of the first method: Such a disadvantage requires establishing a connection every time, which is small. It's acceptable if the quantity is large, but the efficiency is not good if the quantity is large.
Through the built-in Lua interpreter, you can use the EVAL command to process Lua scripts:
redis-cli -h(IP地址) -p 6379(端口号:6379) --EVAL "return redis.call('del', unpack(redis.call('keys', ARGV[1])))" 0 'Volume:*'
[Note]: However, this processing method will cause problems with unpacking the lua function when the volume is large. , an error will be reported
''' (error) ERR Error running script (call to f_e177a091510d969af3b388ee986dbe6658df6b57): @user_script:1: user_script:1: too many results to unpack '''
[After optimization of the second method]:
[Note]: First define an array keys, which stores all the pattern matching keys ending with 'Volume:' key, and then a for loop, processing 5000 keys each time, that is to say, del 5000 keys each time
redis-cli -h(IP地址) -p 6379(端口号:6379) --EVAL "local keys = redis.call('keys', ARGV[1]) for i=1,#keys,5000 do redis.call('del', unpack(keys, i, math.min(i+4999, #keys))) end return #keys" 0 'Volume:*'
[Disadvantages of the second method]:
KEYS operations are prohibited online of!
Redis is single-threaded. If the volume is large, the keys will be traversed, which will cause blocking, so other clients will not be able to connect!
[The third method]:
Since redis2.8, the scan command has been supported. Pattern matching can take the following form to batch delete a large number of keys
redis-cli -a youpassowrd -n 0 -p 6379 --scan --pattern "Volume:*" | xargs -L 5000 redis-cli -a youpassword -n 0 -p 6379 DEL
[Result]:
''' /work/app/redis/bin/redis-cli -a youpassword -n 0 -p 6379 --scan --pattern "Volume:*" | xargs -L 5000 /work/app/redis/bin/redis-cli -a youpassword -n 0 -p 6379 DEL (integer) 5000 (integer) 5000 (integer) 5000 (integer) 5000 (integer) 5000 (integer) 5000 (integer) 5000 (integer) 207 '''
For more redis knowledge, please pay attention to the redis introductory tutorial column.
The above is the detailed content of Introduction to redis commands for batch deletion. For more information, please follow other related articles on the PHP Chinese website!

Redisoutperformstraditionaldatabasesinspeedforread/writeoperationsduetoitsin-memorynature,whiletraditionaldatabasesexcelincomplexqueriesanddataintegrity.1)Redisisidealforreal-timeanalyticsandcaching,offeringphenomenalperformance.2)Traditionaldatabase

UseRedisinsteadofatraditionaldatabasewhenyourapplicationrequiresspeedandreal-timedataprocessing,suchasforcaching,sessionmanagement,orreal-timeanalytics.Redisexcelsin:1)Caching,reducingloadonprimarydatabases;2)Sessionmanagement,simplifyingdatahandling

Redis goes beyond SQL databases because of its high performance and flexibility. 1) Redis achieves extremely fast read and write speed through memory storage. 2) It supports a variety of data structures, such as lists and collections, suitable for complex data processing. 3) Single-threaded model simplifies development, but high concurrency may become a bottleneck.

Redis is superior to traditional databases in high concurrency and low latency scenarios, but is not suitable for complex queries and transaction processing. 1.Redis uses memory storage, fast read and write speed, suitable for high concurrency and low latency requirements. 2. Traditional databases are based on disk, support complex queries and transaction processing, and have strong data consistency and persistence. 3. Redis is suitable as a supplement or substitute for traditional databases, but it needs to be selected according to specific business needs.

Redisisahigh-performancein-memorydatastructurestorethatexcelsinspeedandversatility.1)Itsupportsvariousdatastructureslikestrings,lists,andsets.2)Redisisanin-memorydatabasewithpersistenceoptions,ensuringfastperformanceanddatasafety.3)Itoffersatomicoper

Redis is primarily a database, but it is more than just a database. 1. As a database, Redis supports persistence and is suitable for high-performance needs. 2. As a cache, Redis improves application response speed. 3. As a message broker, Redis supports publish-subscribe mode, suitable for real-time communication.

Redisisamultifacetedtoolthatservesasadatabase,server,andmore.Itfunctionsasanin-memorydatastructurestore,supportsvariousdatastructures,andcanbeusedasacache,messagebroker,sessionstorage,andfordistributedlocking.

Redisisanopen-source,in-memorydatastructurestoreusedasadatabase,cache,andmessagebroker,excellinginspeedandversatility.Itiswidelyusedforcaching,real-timeanalytics,sessionmanagement,andleaderboardsduetoitssupportforvariousdatastructuresandfastdataacces


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

Dreamweaver Mac version
Visual web development tools

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

WebStorm Mac version
Useful JavaScript development tools

Atom editor mac version download
The most popular open source editor

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
