Redis provides multiple memory elimination strategies to control how data is processed when there is insufficient memory. These strategies include: noeviction: disables memory eviction to ensure data is not lost. volatile-lru: Eliminate the key that has not been used for the longest time and has an expiration time set. volatile-ttl: Eliminate the key with the shortest expiration time that has set expiration time. volatile-random: Randomly eliminate keys with expiration time set. allkeys-lru: Eliminate all keys that have not been used for the longest time, including keys with no expiration time set. allkeys-random: Randomly eliminate all keys, including keys with no expiration time set. eviction-algo: Since
Redis’s memory eviction strategy
#Redis provides a variety of memory eviction strategies to Controls how data is processed and removed when the Redis instance runs out of memory. The following are the memory elimination strategies available in Redis:
1. noeviction (default)
- Description: Disable memory elimination, Redis Data is never actively cleared.
- Advantages: Ensures that data will not be lost, suitable for scenarios that require high data durability.
- Disadvantages: If memory is exhausted, Redis will stop accepting new writes, potentially causing performance issues.
2. volatile-lru
- Description: Eliminate the key that has not been used for the longest time and has an expiration time set.
- Advantages: Release expired keys and free up memory space when memory is limited.
- Disadvantages: Expired keys may still be used, resulting in data loss.
3. volatile-ttl
- #Description: Eliminate the key with the shortest expiration time that has set expiration time.
- Advantages: Free up memory space while retaining expiring keys that may still be needed.
- Disadvantages: Keys that are still valuable may be retired early.
4. volatile-random
- Description: Randomly eliminate keys with expiration time set.
- Advantages: Simple and fair, avoiding accumulation of expired keys.
- Disadvantages: Keys that are still valuable may be eliminated.
5. allkeys-lru
- Description: Eliminate all keys that have not been used for the longest time, regardless of whether the expiration time is set or not .
- Advantages: Releases memory space, suitable for scenarios where there are many keys with no expiration time set.
- Disadvantages: Keys that are still valuable may be eliminated.
6. allkeys-random
- Description: Randomly eliminate all keys, regardless of whether the expiration time is set.
- Advantages: Simple and fair, avoids key stacking.
- Disadvantages: Keys that are still valuable may be eliminated.
7. eviction-algo (new in Redis 4.0)
- Description: Customize eviction strategy, use Lua The script specifies elimination rules.
- Advantages: Provides a high degree of customizability, allowing users to create complex elimination rules based on specific needs.
- Disadvantages: Requires writing additional Lua scripts, which may involve higher development costs.
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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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