(1) key query
1. Query all keys
KEY *
2. Query the key containing a certain character
KEY *字符*
For example, query key containing the character chen is available
KEY *chen*
3. Query the type of key
TYPE key
4. Query whether a key exists
EXISTS key
(2) Query commands for 5 data types
1 .string query
1.1 Query the value of string type key
GET string_key
1.2 Query the length of string type key
STRLEN string_key
1.3 Query the value of multiple string type key
MGET string_key1 [string_key2........]
2.Hash query
2.1. Query a certain filed value of a single hash type key
HGET hash_key filed
2.2. Query multiple filed values of a hash type key
HMGET hash_key filed1 [filed2.......]
2.3. Query all filed values of hash type keys and their corresponding values
HGETALL hash_key
2.4. Query all filed values of hash type keys
HKEYS hash_key
2.5. Query all filed values of hash type keys
HVALS hash_key
2.6 Query the length of hash type key
HLEN hash_key
3.Set query
3.1.Query all elements of set type key
SMEMBERS set_key
3.2.Query the number of elements of set type key
SCARD set_key
4.zset query
4.1. Query the elements whose zset type key index is within a certain range
ZRNAGE zset_key start stop [withsocres]
4.2. Query the elements whose zset type key score is within a certain range
ZRNAGEBYSCORE zset_key start stop [withsocres]
5.list query
5.1.Query elements whose list type key index is within a certain range
LRANGE list_key start stop
5.2.Query a certain index value of list type key
LINDEX list_key index
5.3. Query the length of list type key
LLEN list_key
The above is the detailed content of What are the basic data query commands in redis?. For more information, please follow other related articles on the PHP Chinese website!

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.

Redis's database methods include in-memory databases and key-value storage. 1) Redis stores data in memory, and reads and writes fast. 2) It uses key-value pairs to store data, supports complex data structures such as lists, collections, hash tables and ordered collections, suitable for caches and NoSQL databases.

Redis is a powerful database solution because it provides fast performance, rich data structures, high availability and scalability, persistence capabilities, and a wide range of ecosystem support. 1) Extremely fast performance: Redis's data is stored in memory and has extremely fast read and write speeds, suitable for high concurrency and low latency applications. 2) Rich data structure: supports multiple data types, such as lists, collections, etc., which are suitable for a variety of scenarios. 3) High availability and scalability: supports master-slave replication and cluster mode to achieve high availability and horizontal scalability. 4) Persistence and data security: Data persistence is achieved through RDB and AOF to ensure data integrity and reliability. 5) Wide ecosystem and community support: with a huge ecosystem and active community,

Key features of Redis include speed, flexibility and rich data structure support. 1) Speed: Redis is an in-memory database, and read and write operations are almost instantaneous, suitable for cache and session management. 2) Flexibility: Supports multiple data structures, such as strings, lists, collections, etc., which are suitable for complex data processing. 3) Data structure support: provides strings, lists, collections, hash tables, etc., which are suitable for different business needs.

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.


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