How to use queues to implement historical search function in redis-Redis-php.cn

Home

Database

Redis

How to use queues to implement historical search function in redis

尚

May 30, 2020 am 09:16 AM

redis

How to use queues to implement historical search function in redis

1. Use the phpinfo() function to check your configuration and match the corresponding redis extension version (Note: The following case is performed under the window system).

2. Download redis extension

redis extension download address: https://windows.php.net/downl...

3. After downloading, put the decompressed php_redis.dll into the corresponding php Version's ext directory

4. Modify the php.ini configuration file and add extension=php_redis.dll (note that if it is phpstudy, the extension is based on the number of bits of the software, such as x86, x64)

5. Check phpinfo to see if the expansion is successful (the picture below indicates that the expansion has been successful)

How to use queues to implement historical search function in redis

6. Start the redis service

How to use queues to implement historical search function in redis

7. Core template code

How to use queues to implement historical search function in redis

8. Core PHP server code

How to use queues to implement historical search function in redis

9. Rendering As follows

How to use queues to implement historical search function in redis

For more redis knowledge, please pay attention to the redis introductory tutorial column.

The above is the detailed content of How to use queues to implement historical search function in redis. For more information, please follow other related articles on the PHP Chinese website!

Statement

This article is reproduced at:segmentfault. If there is any infringement, please contact admin@php.cn delete

Redis: Exploring Its Features and FunctionalityApr 19, 2025 am 12:04 AM

Redis stands out because of its high speed, versatility and rich data structure. 1) Redis supports data structures such as strings, lists, collections, hashs and ordered collections. 2) It stores data through memory and supports RDB and AOF persistence. 3) Starting from Redis 6.0, multi-threaded I/O operations have been introduced, which has improved performance in high concurrency scenarios.

Is Redis a SQL or NoSQL Database? The Answer ExplainedApr 18, 2025 am 12:11 AM

RedisisclassifiedasaNoSQLdatabasebecauseitusesakey-valuedatamodelinsteadofthetraditionalrelationaldatabasemodel.Itoffersspeedandflexibility,makingitidealforreal-timeapplicationsandcaching,butitmaynotbesuitableforscenariosrequiringstrictdataintegrityo

Redis: Improving Application Performance and ScalabilityApr 17, 2025 am 12:16 AM

Redis improves application performance and scalability by caching data, implementing distributed locking and data persistence. 1) Cache data: Use Redis to cache frequently accessed data to improve data access speed. 2) Distributed lock: Use Redis to implement distributed locks to ensure the security of operation in a distributed environment. 3) Data persistence: Ensure data security through RDB and AOF mechanisms to prevent data loss.

Redis: Exploring Its Data Model and StructureApr 16, 2025 am 12:09 AM

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: Classifying Its Database ApproachApr 15, 2025 am 12:06 AM

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.

Why Use Redis? Benefits and AdvantagesApr 14, 2025 am 12:07 AM

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,

Understanding NoSQL: Key Features of RedisApr 13, 2025 am 12:17 AM

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.

Redis: Identifying Its Primary FunctionApr 12, 2025 am 12:01 AM

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.

See all articles