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- 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.
- Redis 716 2024-04-19 22:24:20
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- 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.
- Redis 645 2024-04-19 22:23:29
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- 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).
- Redis 763 2024-04-19 22:18:18
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- 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.
- Redis 761 2024-04-19 22:15:44
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- 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.
- Redis 1598 2024-04-19 22:12:28
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- 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.
- Redis 1319 2024-04-19 22:09:21
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- 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.
- Redis 987 2024-04-19 22:04:48
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- 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.
- Redis 809 2024-04-19 22:01:08
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- How to read the latest cache in redis
- Redis provides several ways to read the cache: Direct read: Use the GET command to retrieve a single key-value pair. Iterate over keys: Use the SCAN command to iterate over all keys and get the values. Listen for keys: Use the SUBSCRIBE command to listen for key updates. Pipeline command: Read multiple key-value pairs at the same time to reduce the number of network round-trips. Atomic operations: Use the MULTI and EXEC commands to read multiple key-value pairs atomically.
- Redis 690 2024-04-19 21:57:18
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- How to separate reading and writing in redis
- Redis achieves read-write separation through master-slave replication and client configuration. Benefits include improved read throughput, guaranteed write consistency, and improved availability. It is necessary to pay attention to data consistency, configuration complexity and suitability for high read and write load scenarios.
- Redis 864 2024-04-19 21:54:18
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- How does redis maintain consistency with database data
- Redis and database data consistency maintenance can be achieved in the following ways: regular data synchronization using Redis publish/subscribe mechanism using Redis transactions using Redis Sentinel or Redis Cluster. Notes include: synchronization frequency, database transaction support, data consistency monitoring and regular inspections.
- Redis 856 2024-04-19 21:48:21
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- How to keep redis cache consistent with database
- It is crucial to keep the Redis cache consistent with the database data. The following methods can achieve data consistency: 1. Update the cache when writing (immediately update the Redis cache); 2. Check the cache when writing (store the update in the queue, and the background process updates the Redis cache); 3. Separate reading and writing ( Use master-slave database replication to avoid write conflicts with the master database); 4. Update the cache regularly (background tasks are updated to the Redis cache synchronously); 5. Use an event-driven mechanism (receive database update notifications and update the Redis cache accordingly). Choosing the appropriate strategy depends on application needs and consistency requirements.
- Redis 550 2024-04-19 21:45:32
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- Are redis cache and redis database the same thing?
- Similarities: Based on Redis in-memory database, it supports multiple data structures. Differences: Purpose: The cache is used to store commonly used data and reduce latency; the database is used to store persistent data. Persistence: The cache does not provide persistence, the database supports persistence. Features: The database supports master-slave replication, transactions, and complex queries; caches generally do not support these features.
- Redis 1430 2024-04-19 21:39:19
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- Redis cache penetration breakdown avalanche solution
- Common cache problems and solutions: Cache penetration: Use bloom filters or default values to avoid invalid queries when they do not exist in the cache and database. Cache breakdown: When accessing expired keys with high concurrency, use mutex locks or never-expired hotspot data to solve the problem. Cache avalanche: When a large number of keys expire at the same time, set different expiration times, diversion and current limiting, cache preheating, and disaster recovery solutions to deal with it.
- Redis 812 2024-04-19 21:33:20
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- How many commands are divided into redis database?
- Redis database commands can be divided into five types: 1. String operations; 2. Hash tables store key-value pairs; 3. List management of ordered elements; 4. Set operations of unordered unique elements; 5. Ordered sets by scores Sort elements and support range queries.
- Redis 860 2024-04-19 21:31:12
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