Same points: 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 cache and Redis database: similarities and differences
Same points:
- Use the same basic technology: Redis cache and Redis database are based on the Redis in-memory database, providing fast and efficient data storage and retrieval.
- Supports a variety of data structures: They can all store various data structures such as strings, hash tables, lists, sets, and ordered sets.
Differences:
Purpose and usage:
- Cache:Redis cache is primarily used to store frequently accessed data to reduce the latency of retrieving data from slower data sources such as databases. It prioritizes speed and low latency.
- Database: Redis database is used to store persistent data, which usually requires higher reliability and durability. It is typically used to store application state, user data, and other data that needs to be retained for a long time.
Persistence:
- Cache: Redis cache generally does not provide persistence, which means that across server restarts Or in the event of a failure, the stored data will be lost.
- Database: The Redis database supports persistence, allowing data to be recovered after a server failure or restart.
Other features:
- Replication: Redis database can achieve data redundancy through master-slave replication, and Redis cache This feature is generally not supported.
- Transactions: The Redis database supports transactions, allowing atomic operations on multiple keys, while the Redis cache generally does not support transactions.
- Query Language: The Redis database can perform complex queries through Redis Query Language (RQL), while the Redis cache usually provides more limited query capabilities.
Summary:
Although Redis cache and Redis database use the same technology, they differ in purpose, persistence, and other characteristics. Redis cache focuses on speed and low latency and is suitable for frequently accessed data, while Redis database provides durability, higher reliability and more comprehensive functions for data that requires long-term storage.
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The core function of Redis is a high-performance in-memory data storage and processing system. 1) High-speed data access: Redis stores data in memory and provides microsecond-level read and write speed. 2) Rich data structure: supports strings, lists, collections, etc., and adapts to a variety of application scenarios. 3) Persistence: Persist data to disk through RDB and AOF. 4) Publish subscription: Can be used in message queues or real-time communication systems.

Redis supports a variety of data structures, including: 1. String, suitable for storing single-value data; 2. List, suitable for queues and stacks; 3. Set, used for storing non-duplicate data; 4. Ordered Set, suitable for ranking lists and priority queues; 5. Hash table, suitable for storing object or structured data.

Redis counter is a mechanism that uses Redis key-value pair storage to implement counting operations, including the following steps: creating counter keys, increasing counts, decreasing counts, resetting counts, and obtaining counts. The advantages of Redis counters include fast speed, high concurrency, durability and simplicity and ease of use. It can be used in scenarios such as user access counting, real-time metric tracking, game scores and rankings, and order processing counting.

Use the Redis command line tool (redis-cli) to manage and operate Redis through the following steps: Connect to the server, specify the address and port. Send commands to the server using the command name and parameters. Use the HELP command to view help information for a specific command. Use the QUIT command to exit the command line tool.

Redis cluster mode deploys Redis instances to multiple servers through sharding, improving scalability and availability. The construction steps are as follows: Create odd Redis instances with different ports; Create 3 sentinel instances, monitor Redis instances and failover; configure sentinel configuration files, add monitoring Redis instance information and failover settings; configure Redis instance configuration files, enable cluster mode and specify the cluster information file path; create nodes.conf file, containing information of each Redis instance; start the cluster, execute the create command to create a cluster and specify the number of replicas; log in to the cluster to execute the CLUSTER INFO command to verify the cluster status; make

To read a queue from Redis, you need to get the queue name, read the elements using the LPOP command, and process the empty queue. The specific steps are as follows: Get the queue name: name it with the prefix of "queue:" such as "queue:my-queue". Use the LPOP command: Eject the element from the head of the queue and return its value, such as LPOP queue:my-queue. Processing empty queues: If the queue is empty, LPOP returns nil, and you can check whether the queue exists before reading the element.

Use of zset in Redis cluster: zset is an ordered collection that associates elements with scores. Sharding strategy: a. Hash sharding: Distribute the hash value according to the zset key. b. Range sharding: divide into ranges according to element scores, and assign each range to different nodes. Read and write operations: a. Read operations: If the zset key belongs to the shard of the current node, it will be processed locally; otherwise, it will be routed to the corresponding shard. b. Write operation: Always routed to shards holding the zset key.

How to clear Redis data: Use the FLUSHALL command to clear all key values. Use the FLUSHDB command to clear the key value of the currently selected database. Use SELECT to switch databases, and then use FLUSHDB to clear multiple databases. Use the DEL command to delete a specific key. Use the redis-cli tool to clear the data.


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