How to read the latest cache in redis

Redis provides multiple 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 reads the latest cache

Redis is a popular in-memory database known for its high performance and Known for its flexible data structures. Redis provides multiple methods of reading the cache to meet different application needs.

Read directly

The most direct method is to use the GET command to directly read a single key-value pair:

<code>GET key</code>

This command will return the value corresponding to key key.

Traverse keys

To iterate over all keys and read their latest values, you can use the SCAN command:

<code>SCAN 0</code>

The SCAN command will return a cursor and a set of keys. You can reuse the cursor to get the next set of keys until the returned cursor is 0.

Listen for keys

To listen for keys and read their latest values, you can use the SUBSCRIBE command:

<code>SUBSCRIBE channel</code>

When When a key is updated, the Redis server will push a message to the specified channel.

Pipeline command

If you need to read multiple key-value pairs at the same time, you can use the pipeline command. Pipeline commands reduce the number of network round trips by packaging multiple commands into a single request.

<code>PIPELINE
GET key1
GET key2
EXEC</code>

Atomic operations

To read multiple key-value pairs atomically, you can use the MULTI and EXEC commands :

<code>MULTI
GET key1
GET key2
EXEC</code>

MULTI command starts a transaction, EXEC command commits the transaction and returns the result.

Choose the appropriate method

Choosing the most appropriate read method depends on the specific requirements of the application. For small data sets, direct reading may be sufficient. For large data sets or when real-time updates are required, traversing keys, listening keys, or pipe commands are better choices.

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