How SpringBoot integrates Druid and Redis

1. Integrate Druid

1.1 Introduction to Druid

A large part of Java programs need to operate the database. In order to improve performance, when operating the database, you have to use the database connection pool.

Druid is a database connection pool implementation on Alibaba's open source platform. It combines the advantages of DB pools such as C3P0 and DBCP, and also adds log monitoring.

Druid is a database connection pool designed for monitoring, which can effectively monitor the connection status of the database connection pool and SQL execution status.

1.2 Add Druid data source dependency

<dependency>
            <groupId>com.alibaba</groupId>
            <artifactId>druid-spring-boot-starter</artifactId>
            <version>1.2.8</version>
        </dependency>

1.3 Use Druid data source

server:
  port: 8080
spring:
  datasource:
    druid:
      url: jdbc:mysql://localhost:3306/eshop?useSSL=false&serverTimezone=Asia/Shanghai&useUnicode=true&characterEncoding=utf-8&allowPublicKeyRetrieval=true
      username: xxx
      password: xxx
      driver-class-name: com.mysql.cj.jdbc.Driver
      initial-size: 10
      max-active: 20
      min-idle: 10
      max-wait: 60000
      time-between-eviction-runs-millis: 60000
      min-evictable-idle-time-millis: 300000
      stat-view-servlet:
        enabled: true
        login-username: admin
        login-password: 1234
logging:
  level:
    com.wyy.spring.Dao: debug

Test to see if it is successful!

package com.wyy.spring;
import com.wyy.spring.Dao.StudentMapper;
import com.wyy.spring.service.StudentService;
import org.junit.jupiter.api.Test;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import javax.sql.DataSource;
@SpringBootTest
class SpringBoot04ApplicationTests {
    @Autowired
    DataSource dataSource;
    @Test
    void contextLoads() {
        System.out.println(dataSource.getClass());
    }
}

Print results

2. Integrate redis

2.1 Add redis dependency

<dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-data-redis</artifactId>
        </dependency>

2.2 yml adds redis configuration information

redis:
    database: 0
    host: 120.0.0.0
    port: 6379
    password: xxxx
    jedis:
      pool:
        max-active: 8
        max-wait: -1
        max-idle: 8
        min-idle: 0
    timeout: 10000

2.3 redis configuration class

package com.wyy.spring.conf;
 
import org.springframework.cache.CacheManager;
import org.springframework.cache.annotation.CachingConfigurerSupport;
import org.springframework.cache.annotation.EnableCaching;
import org.springframework.cache.interceptor.KeyGenerator;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.context.annotation.Primary;
import org.springframework.data.redis.cache.RedisCacheConfiguration;
import org.springframework.data.redis.cache.RedisCacheManager;
import org.springframework.data.redis.connection.RedisConnectionFactory;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.serializer.GenericJackson2JsonRedisSerializer;
import org.springframework.data.redis.serializer.RedisSerializationContext;
import org.springframework.data.redis.serializer.RedisSerializer;
import org.springframework.data.redis.serializer.StringRedisSerializer;
import org.springframework.util.ClassUtils;
import java.lang.reflect.Array;
import java.lang.reflect.Method;
import java.time.Duration;
@Configuration
@EnableCaching
public class RedisConfiguration extends CachingConfigurerSupport {
    @Bean
    @Primary
    /**
     * 缓存管理器
     */
    CacheManager cacheManager(RedisConnectionFactory factory) {
        RedisCacheConfiguration cacheConfiguration = RedisCacheConfiguration.defaultCacheConfig()
                .computePrefixWith(cacheName -> cacheName + ":-cache-:")
                /*设置缓存过期时间*/
                .entryTtl(Duration.ofHours(1))
                /*禁用缓存空值,不缓存null校验*/
                .disableCachingNullValues()
                /*设置CacheManager的值序列化方式为json序列化,可使用加入@Class属性*/
                .serializeValuesWith(RedisSerializationContext.SerializationPair.fromSerializer(
                        new GenericJackson2JsonRedisSerializer()
                ));
        /*使用RedisCacheConfiguration创建RedisCacheManager*/
        RedisCacheManager manager = RedisCacheManager.builder(factory)
                .cacheDefaults(cacheConfiguration)
                .build();
        return manager;
    }
    public RedisTemplate redisTemplate(RedisConnectionFactory factory) {
        RedisTemplate<String, Object> redisTemplate = new RedisTemplate<String, Object>();
        redisTemplate.setConnectionFactory(factory);
        RedisSerializer stringSerializer = new StringRedisSerializer();
        /* key序列化 */
        redisTemplate.setKeySerializer(stringSerializer);
        /* value序列化 */
        redisTemplate.setValueSerializer(new GenericJackson2JsonRedisSerializer());
        /* Hash key序列化 */
        redisTemplate.setHashKeySerializer(stringSerializer);
        /* Hash value序列化 */
        redisTemplate.setHashValueSerializer(new GenericJackson2JsonRedisSerializer());
        redisTemplate.afterPropertiesSet();
        return redisTemplate;
    @Override
    public KeyGenerator keyGenerator() {
        return (Object target, Method method, Object... params) -> {
            final int NO_PARAM_KEY = 0;
            final int NULL_PARAM_KEY = 53;
            StringBuilder key = new StringBuilder();
            /* Class.Method: */
            key.append(target.getClass().getSimpleName())
                    .append(".")
                    .append(method.getName())
                    .append(":");
            if (params.length == 0) {
                return key.append(NO_PARAM_KEY).toString();
            }
            int count = 0;
            for (Object param : params) {
                /* 参数之间用,进行分隔 */
                if (0 != count) {
                    key.append(&#39;,&#39;);
                }
                if (param == null) {
                    key.append(NULL_PARAM_KEY);
                } else if (ClassUtils.isPrimitiveArray(param.getClass())) {
                    int length = Array.getLength(param);
                    for (int i = 0; i < length; i++) {
                        key.append(Array.get(param, i));
                        key.append(&#39;,&#39;);
                    }
                } else if (ClassUtils.isPrimitiveOrWrapper(param.getClass()) || param instanceof String) {
                    key.append(param);
                } else {
                    /*JavaBean一定要重写hashCode和equals*/
                    key.append(param.hashCode());
                count++;
            return key.toString();
        };
}

@CacheConfig A class-level annotation that allows sharing of cached cacheNames, KeyGenerator, CacheManager and CacheResolver

@Cacheable Used to declare that a method is cacheable. Cache the results of an executed method so that subsequent calls with the same parameters do not need to execute the actual method again. Get the value directly from the cache

The method marked with @CachePut will not check whether there is a previously executed result in the cache before execution. Instead, the method will be executed every time and the execution result will be expressed as a key value. The correct form is stored in the specified cache.

The function of @CacheEvict is mainly for method configuration and can clear the cache according to certain conditions

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