Redis provides a Pub/Sub (publish/subscribe) model messaging mechanism. The publisher publishes messages to the specified channel, and subscribers who subscribe to the channel can obtain the messages. Through this mechanism, we can complete functions such as chat rooms and bulletin boards.
First, let’s introduce some commands about pub/sub.
Publish message
publish channel message Publish a message to the specified channel
If there is a car Friends group, at this time a user posted a message
127.0.0.1:6379> publish car:fans hello,everyone (integer) 0
The return value of this command is the number of subscribers who have subscribed to this channel. As you can see, no one has subscribed to this channel yet.
Subscribe message
subscribe channel [channel] Subscribers can subscribe to one or more users
127.0.0.1:6379> subscribe car:fans Reading messages... (press Ctrl-C to quit) 1) "subscribe" 2) "car:fans" 3) (integer) 1
At this time, a user has already joined the rider group. Gradually, more and more people join the group.
When a user posts a message, other group members can see the message.
127.0.0.1:6379> publish car:fans 'How are you' (integer) 2127.0.0.1:6379> subscribe car:fans Reading messages... (press Ctrl-C to quit) 1) "subscribe" 2) "car:fans" 3) (integer) 1 1) "message" 2) "car:fans" 3) "How are you"
Note: When the client executes the subscription command, it enters the subscription state and can only execute pub/sub related commands. In addition, new users who join the group cannot see previous messages because this mechanism does not persist messages. Although the functions are limited, it is simple enough.
One more thing, the more functions the better, it mainly depends on whether it is suitable for the scene. If you can do it, the simpler the better.
View the number of subscriptions
pubsub numsub [channel ...]
Want to view How many users are there in the group
127.0.0.1:6379> pubsub numsub car:fans 1) "car:fans" 2) (integer) 2
The group currently has 2 users.
Unsubscribe
unsubscribe [channel [channel ...]]
redis-cli UNSUBSCRIBE 1) "unsubscribe" 2) (nil) 3) (integer) 0
Practical combat
After introducing the above knowledge, we can complete the function of a chat room.
The pseudocode for publishing a message is very simple. The pseudocode for publishing a message is as follows:
function publist ($chanel, $message) { $redis->publist($channel, $message); }
The pseudocode for obtaining a message is as follows:
//设置php脚本执行时间 set_time_limit(0); //设置socket连接超时时间 ini_set('default_socket_timeout', -1); //声明频道名称 $channelName = "testpubsub"; try { $redis = new \Redis(); $redis->pconnect('localhost', 6379); $redis->subscribe([$channelName], function ($redis, $channel, $msg) { echo 'channel:' . $channel . ',message:' . $msg . PHP_EOL; }); } catch (\Exception $e) { echo $e->getMessage(); }
There are several points to note here:
Consumers need to create a redis long connection,
Set set_time_limit and default_socket_timeout to ensure that php does not time out when blocking the message acquisition process, and the socket connection does not time out.
Currently, Redis provides a new Stream type, which is much more powerful. Interested friends can check the relevant information themselves.
The above is the detailed content of Use Redis to complete the chat room function. For more information, please follow other related articles on the PHP Chinese website!

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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,

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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.


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