1. Execute in the redis-cli command line:
# 调用redis命令设置缓存 # 不传参数 eval "return redis.call('set', 'name1', 'Tom')" 0 # 传入1个值参数 eval "return redis.call('set', 'name2', ARGV[1])" 0 "Tom" # 传入1个键名参数和1个值参数 eval "return redis.call('set', KEYS[1], ARGV[1])" 1 "name3" "Tom"
2. Execute in the linux command line:
# 指定lua脚本路径,后面可跟上参数,与redis-cli中不同,此处不需要指定KEYS的数量,但是需要用英文逗号隔开KEYS和ARGV参数,逗号前后至少保留1个空格,否则报错 redis-cli -a password --eval ./sadd_script.lua subjects , math redis-cli -a password --eval ./sadd_script.lua subjects , history
Define your own needs in the lua script Business code, demo:
local setName = KEYS[1] local setValue = ARGV[1] if string.len(setName) > 0 and string.len(setValue) > 0 then return redis.call('sadd', setName, setValue) else return 0 end
3, executed in php code:
<?php $redis = new Redis(); $redis->connect('192.168.1.201', 6379); $redis->auth('123456'); $script = <<<EOF return redis.call('lpush', KEYS[1], ARGV[1]) EOF; $key1 = 'goods_list'; $value1 = mt_rand(10000, 99999); //eval($script, $args = array(), $numKeys = 0),numKeys声明args参数中KEYS数量,剩下的则都为ARGV参数 $res = $redis->eval($script, [$key1, $value1], 1); var_dump($res);
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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.

Redisactsasbothadatastoreandaservice.1)Asadatastore,itusesin-memorystorageforfastoperations,supportingvariousdatastructureslikekey-valuepairsandsortedsets.2)Asaservice,itprovidesfunctionalitieslikepub/submessagingandLuascriptingforcomplexoperationsan

Compared with other databases, Redis has the following unique advantages: 1) extremely fast speed, and read and write operations are usually at the microsecond level; 2) supports rich data structures and operations; 3) flexible usage scenarios such as caches, counters and publish subscriptions. When choosing Redis or other databases, it depends on the specific needs and scenarios. Redis performs well in high-performance and low-latency applications.

Redis plays a key role in data storage and management, and has become the core of modern applications through its multiple data structures and persistence mechanisms. 1) Redis supports data structures such as strings, lists, collections, ordered collections and hash tables, and is suitable for cache and complex business logic. 2) Through two persistence methods, RDB and AOF, Redis ensures reliable storage and rapid recovery of data.

Redis is a NoSQL database suitable for efficient storage and access of large-scale data. 1.Redis is an open source memory data structure storage system that supports multiple data structures. 2. It provides extremely fast read and write speeds, suitable for caching, session management, etc. 3.Redis supports persistence and ensures data security through RDB and AOF. 4. Usage examples include basic key-value pair operations and advanced collection deduplication functions. 5. Common errors include connection problems, data type mismatch and memory overflow, so you need to pay attention to debugging. 6. Performance optimization suggestions include selecting the appropriate data structure and setting up memory elimination strategies.

The applications of Redis in the real world include: 1. As a cache system, accelerate database query, 2. To store the session data of web applications, 3. To implement real-time rankings, 4. To simplify message delivery as a message queue. Redis's versatility and high performance make it shine in these scenarios.

Redis stands out because of its high speed, versatility and rich data structure. 1) Redis supports data structures such as strings, lists, collections, hashs and ordered collections. 2) It stores data through memory and supports RDB and AOF persistence. 3) Starting from Redis 6.0, multi-threaded I/O operations have been introduced, which has improved performance in high concurrency scenarios.


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