1 import time 2 import redis 3 from redis.exceptions import WatchError 4 5 6 class RedisUtil(): 7 def __init__(self): 8 self.redis = redis.Redis(host="redis账户url", 9 port=6379,10 password="你的redis密码",11 decode_responses=True)12 self.online_set_name = "palm_online_devices"13 14 # 获取锁15 def acquire_lock(self, key, val, acquire_time=60, time_out=60):16 start_time = time.time()17 # 阻塞等待,轮询去获取锁,获取不到,轮询等待,直到拿到锁或者超时18 while True:19 if time.time() - start_time > acquire_time:20 return False21 # 用setnx实现分布式锁,当key存在时候,setnx不做任何动作,如果key不存在,将value值设置为val22 # 如果 SETNX 返回1,说明该进程获得锁,SETNX将键 lock.foo 的值设置为锁的超时时间(当前时间 + 锁的有效时间)。23 # 如果 SETNX 返回0,说明其他进程已经获得了锁,进程不能进入临界区。进程可以在一个循环中不断地尝试 SETNX 操作,以获得锁24 if self.redis.setnx(name=key, value=val):25 # 设置key的时长为60秒,如果超过60秒,key销毁26 self.redis.expire(key, time_out)27 return True28 29 # 释放锁30 def release_lock(self, key, val):31 pip = self.redis.pipeline(True)32 while True:33 try:34 pip.watch(key)35 lock_value = self.redis.get(key)36 if not lock_value:37 return True38 if lock_value == val:39 pip.multi()40 pip.delete(key)41 pip.execute()42 return True43 pip.unwatch()44 break45 except WatchError:46 pass47 return False
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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.

RedisisclassifiedasaNoSQLdatabasebecauseitusesakey-valuedatamodelinsteadofthetraditionalrelationaldatabasemodel.Itoffersspeedandflexibility,makingitidealforreal-timeapplicationsandcaching,butitmaynotbesuitableforscenariosrequiringstrictdataintegrityo

Redis improves application performance and scalability by caching data, implementing distributed locking and data persistence. 1) Cache data: Use Redis to cache frequently accessed data to improve data access speed. 2) Distributed lock: Use Redis to implement distributed locks to ensure the security of operation in a distributed environment. 3) Data persistence: Ensure data security through RDB and AOF mechanisms to prevent data loss.

Redis's data model and structure include five main types: 1. String: used to store text or binary data, and supports atomic operations. 2. List: Ordered elements collection, suitable for queues and stacks. 3. Set: Unordered unique elements set, supporting set operation. 4. Ordered Set (SortedSet): A unique set of elements with scores, suitable for rankings. 5. Hash table (Hash): a collection of key-value pairs, suitable for storing objects.


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