Automatic expiration mechanism in Redis
Implementation requirements: processing automatic cancellation of expired orders, for example, automatically changing the order status if the order is not paid for 30 minutes
1. Use Redis Key to automatically expire the event Notification
2. Check after 30 minutes using a scheduled task
3. Check according to every minute rotation
CREATE TABLE `order_number` ( `id` int(11) NOT NULL AUTO_INCREMENT, `order_name` varchar(255) DEFAULT NULL, `order_status` int(11) DEFAULT NULL, `order_token` varchar(255) DEFAULT NULL, `order_id` varchar(255) DEFAULT NULL, PRIMARY KEY (`id`) ) ENGINE=InnoDB AUTO_INCREMENT=20 DEFAULT CHARSET=utf8;
1. Use the Redis Key automatic expiration mechanism
When our key expires , we can execute our client callback listening method.
Requires configuration in Redis:
1. Open the redis.conf configuration file
vi redis.conf
2. Find notify in the configuration file -keyspace-events
/notify-keyspace-events
3. Modify to notify-keyspace-events Ex
4. Restart redis
@Configuration
public class RedisListenerConfig {
@Bean
RedisMessageListenerContainer container(RedisConnectionFactory connectionFactory) {
RedisMessageListenerContainer container = new RedisMessageListenerContainer();
container.setConnectionFactory(connectionFactory);
return container;
}
}
@Component
public class RedisKeyExpirationListener extends KeyExpirationEventMessageListener {
public RedisKeyExpirationListener(RedisMessageListenerContainer listenerContainer) {
super(listenerContainer);
}
@Resource
private OrderMapper orderMapper;
/**
* 待支付
*/
private static final Integer ORDER_STAYPAY = 0;
/**
* 失效
*/
private static final Integer ORDER_INVALID = 2;
/**
* 使用该方法监听 当我们的key失效的时候执行该方法
*
* @param message
* @param pattern
*/
@Override
public void onMessage(Message message, byte[] pattern) {
String expiraKey = message.toString();
System.out.println("该key:expiraKey:" + expiraKey + "失效啦~");
// 前缀判断 orderToken
OrderEntity orderNumber = orderMapper.getOrderNumber(expiraKey);
if (orderNumber == null) {
return;
}
// 获取订单状态
Integer orderStatus = orderNumber.getOrderStatus();
// 如果该订单状态为待支付的情况下,直接将该订单修改为已经超时
if (orderStatus.equals(ORDER_STAYPAY)) {
orderMapper.updateOrderStatus(expiraKey, ORDER_INVALID);
// 库存加上1
}
}
}
@RestController
public class MemberController {
@Autowired
private UserMapper userMapper;
/**
*
* @return
*/
@RequestMapping("/getListMember")
@Cacheable(cacheNames = "member", key = "'getListMember'")
public List<MemberEntity> getListMember() {
return userMapper.findMemberAll();
}
}
@Data
public class OrderEntity {
private Long id;
private String orderName;
/**
* 0 待支付 1 已经支付
*/
private Integer orderStatus;
private String orderToken;
private String orderId;
public OrderEntity(Long id, String orderName, String orderId, String orderToken) {
this.id = id;
this.orderName = orderName;
this.orderId = orderId;
this.orderToken = orderToken;
}
}
public interface OrderMapper {
@Insert("insert into order_number values (null,#{orderName},0,#{orderToken},#{orderId})")
int insertOrder(OrderEntity OrderEntity);
@Select("SELECT ID AS ID ,order_name AS ORDERNAME ,order_status AS orderstatus,order_token as ordertoken,order_id as orderid FROM order_number\n" +
"where order_token=#{orderToken};")
OrderEntity getOrderNumber(String orderToken);
@Update("\n" +
"\n" +
"update order_number set order_status=#{orderStatus} where order_token=#{orderToken};")
int updateOrderStatus(String orderToken, Integer orderStatus);
}
1. Access the addOrder interface
##3. Redis expires after 10 seconds and executes the callback mechanism
4. Check the database again, the status has been modified
The above is the detailed content of How to use the automatic expiration mechanism in Redis. For more information, please follow other related articles on the PHP Chinese website!

Redis plays a key role in data storage and management, and has become the core of modern applications through its multiple data structures and persistence mechanisms. 1) Redis supports data structures such as strings, lists, collections, ordered collections and hash tables, and is suitable for cache and complex business logic. 2) Through two persistence methods, RDB and AOF, Redis ensures reliable storage and rapid recovery of data.

Redis is a NoSQL database suitable for efficient storage and access of large-scale data. 1.Redis is an open source memory data structure storage system that supports multiple data structures. 2. It provides extremely fast read and write speeds, suitable for caching, session management, etc. 3.Redis supports persistence and ensures data security through RDB and AOF. 4. Usage examples include basic key-value pair operations and advanced collection deduplication functions. 5. Common errors include connection problems, data type mismatch and memory overflow, so you need to pay attention to debugging. 6. Performance optimization suggestions include selecting the appropriate data structure and setting up memory elimination strategies.

The applications of Redis in the real world include: 1. As a cache system, accelerate database query, 2. To store the session data of web applications, 3. To implement real-time rankings, 4. To simplify message delivery as a message queue. Redis's versatility and high performance make it shine in these scenarios.

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.

RedisisclassifiedasaNoSQLdatabasebecauseitusesakey-valuedatamodelinsteadofthetraditionalrelationaldatabasemodel.Itoffersspeedandflexibility,makingitidealforreal-timeapplicationsandcaching,butitmaynotbesuitableforscenariosrequiringstrictdataintegrityo

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'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.


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

MantisBT
Mantis is an easy-to-deploy web-based defect tracking tool designed to aid in product defect tracking. It requires PHP, MySQL and a web server. Check out our demo and hosting services.

Dreamweaver Mac version
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

PhpStorm Mac version
The latest (2018.2.1) professional PHP integrated development tool

WebStorm Mac version
Useful JavaScript development tools