


Will the redis elimination strategy delete the key on the disk?
No, the Redis elimination policy will not delete the Key on the disk. This strategy only targets keys in memory to make room for new keys, while persistent data on disk is not affected.
Apr 19, 2024 pm 10:42 PM
What are the memory elimination strategies for redis?
Redis provides several memory eviction strategies to control how data is processed when memory is insufficient. 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: self
Apr 19, 2024 pm 10:39 PM
Redis cache implementation principle
The Redis caching mechanism is implemented through key-value storage, memory storage, expiration policies, data structures, replication, and persistence. It follows the steps of obtaining data, cache hit, cache miss, writing to cache, and updating cache to provide fast data access and high-performance caching services.
Apr 19, 2024 pm 10:36 PM
How to ensure that redis cache and mysql data are consistent
How to ensure the consistency of Redis cache and MySQL data? Asynchronous update: update through message queue without blocking the application. Periodic synchronization: Use scheduled jobs to synchronize data regularly to maintain data consistency. Hybrid approach: combine asynchronous and periodic synchronization for efficiency and consistency. Cache invalidation: Invalidate the Redis cache when updating MySQL data to ensure the latest data. Redis transactions: Update Redis and MySQL once to ensure consistency.
Apr 19, 2024 pm 10:33 PM
redis caching mechanism
Redis provides an efficient caching mechanism, uses key-value pair structure to store data, and uses different data structures to optimize different types of data storage. When the cache reaches capacity limit, it uses various eviction strategies (such as LRU, LFU, TTL) to evict data. The advantages of the Redis caching mechanism include improved application performance, reduced latency, improved reliability and simplified development.
Apr 19, 2024 pm 10:30 PM
Where is redis cache used?
Redis is a high-performance distributed in-memory database that improves performance, reduces load, and enhances scalability for applications. Specific use cases include: Web caching Session management Queue processing Leaderboards and scoreboards Metering and tracking Social media applications Game development
Apr 19, 2024 pm 10:28 PM
What kind of data does redis generally cache?
Redis supports multiple cache data types, including strings, hashes, lists, sets, sorted sets, geospatial data, HyperLogLog, and bitmaps. These types can be selected based on data access frequency, change frequency, size, and eviction policy to optimize cache performance.
Apr 19, 2024 pm 10:24 PM
Is redis cached in memory or hard disk?
Redis uses an in-memory storage model with low latency, high throughput, and scalability. Additionally, its key-value storage and memory eviction mechanism ensure efficient memory utilization, making it suitable for applications requiring fast data access.
Apr 19, 2024 pm 10:23 PM
What data does redis cache?
Redis' cache data types include: string, hash, list, set, ordered set, geolocation, stream, HyperLogLog, Bitmap, modular data types (such as RedisJSON, RedisGraph, RedisTimeSeries).
Apr 19, 2024 pm 10:18 PM
There are several ways to cache redis
Redis provides multiple caching methods: Memory cache: fast access, data is not persistent. Persistent cache: data persistence, slow access, and high security. Hybrid caching: balancing performance and security. Distributed cache: improving capacity and performance. Centralized cache: easy to manage, limited capacity and performance.
Apr 19, 2024 pm 10:15 PM
redis annotation sets cache expiration time
How to set cache expiration time when using Redis annotations? Import Redis dependencies. Use ttl attributes annotated with @Cacheable and @CachePut. The ttl attribute specifies the cache expiration time in seconds.
Apr 19, 2024 pm 10:12 PM
What is the use of redis cache?
Redis cache is used to: Reduce database load: Cache frequently accessed data into memory. Accelerate page loading: cache static content and page elements to shorten page loading time. Session Management: Store user session data, offload databases and facilitate access. Real-time notification: Implement a publish/subscribe system for real-time updates. Queue processing: Implement message queue for asynchronous message transmission. Rate limiting: Limit access to specific resources to prevent abuse. Leaderboards and counters: Provide atomic increment operations, suitable for storing quickly updated values.
Apr 19, 2024 pm 10:09 PM
Who developed redis
The developer of Redis is Salvatore Sanfilippo, a programmer from Italy. He developed Redis in 2009, initially to solve caching problems. Over time, Redis evolved into a widely used database for a variety of applications. Sanfilippo founded Redis Company to develop and maintain the Redis database and assembled a team of experienced engineers and database experts. Redis remains an active project with a large community and growing user base, and Sanfilippo continues to lead its development.
Apr 19, 2024 pm 10:04 PM
Is redis a development tool?
No, Redis is not a development tool. It is an in-memory database used for caching, message queuing and providing data structures. While it can support development tasks, it does not have code editing, debugging, version control, and project management capabilities that are unique to development tools.
Apr 19, 2024 pm 10:01 PM
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