implementation(‘mysql:mysql-connector-java')
implementation(‘org.springframework.boot:spring-boot-starter-data-jpa')

spring:
 datasource:
   url: jdbc:mysql://localhost:3306/user_info
   username: root
   password: root
 jpa:
   show-sql: true

implementation(‘org.springframework.boot:spring-boot-starter-data-redis')
implementation(‘org.springframework.boot:spring-boot-starter-cache')

spring:
  datasource:
    url: jdbc:mysql://localhost:3306/user_info
    username: root
    password: root
  jpa:
    show-sql: true
  ## Redis 配置
  redis:
    ## Redis數(shù)據(jù)庫索引（默認(rèn)為0）
    database: 0
    ## Redis服務(wù)器地址
    host: localhost
    ## Redis服務(wù)器連接端口
    port: 6379
    ## Redis服務(wù)器連接密碼（默認(rèn)為空）
    password:
    jedis:
      pool:
        ## 連接池最大連接數(shù)（使用負(fù)值表示沒有限制）
        #spring.redis.pool.max-active=8
        max-active: 8
        ## 連接池最大阻塞等待時(shí)間（使用負(fù)值表示沒有限制）
        #spring.redis.pool.max-wait=-1
        max-wait: -1
        ## 連接池中的最大空閑連接
        #spring.redis.pool.max-idle=8
        max-idle: 8
        ## 連接池中的最小空閑連接
        #spring.redis.pool.min-idle=0
        min-idle: 0
    ## 連接超時(shí)時(shí)間（毫秒）
    timeout: 1200

package com.example.restservice.config;

import com.fasterxml.jackson.annotation.JsonAutoDetect;
import com.fasterxml.jackson.annotation.PropertyAccessor;
import com.fasterxml.jackson.databind.ObjectMapper;
import org.springframework.cache.CacheManager;
import org.springframework.cache.annotation.CachingConfigurerSupport;
import org.springframework.cache.annotation.EnableCaching;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.redis.cache.RedisCacheConfiguration;
import org.springframework.data.redis.cache.RedisCacheManager;
import org.springframework.data.redis.cache.RedisCacheWriter;
import org.springframework.data.redis.connection.RedisConnectionFactory;
import org.springframework.data.redis.core.*;
import org.springframework.data.redis.serializer.Jackson2JsonRedisSerializer;
import org.springframework.data.redis.serializer.StringRedisSerializer;

import java.time.Duration;

/**
 * @author lzh
 * create 2019-09-24-15:07
 */
@Configuration
@EnableCaching
public class RedisConfig extends CachingConfigurerSupport {

    /**
     * 選擇redis作為默認(rèn)緩存工具
     * @param redisConnectionFactory
     * @return
     */
    /*@Bean
    //springboot 1.xx
    public CacheManager cacheManager(RedisTemplate redisTemplate) {
        RedisCacheManager rcm = new RedisCacheManager(redisTemplate);
        return rcm;
    }*/
    @Bean
    public CacheManager cacheManager(RedisConnectionFactory redisConnectionFactory) {
        RedisCacheConfiguration redisCacheConfiguration = RedisCacheConfiguration.defaultCacheConfig()
                .entryTtl(Duration.ofHours(1)); // 設(shè)置緩存有效期一小時(shí)
        return RedisCacheManager
                .builder(RedisCacheWriter.nonLockingRedisCacheWriter(redisConnectionFactory))
                .cacheDefaults(redisCacheConfiguration).build();
    }

    /**
     * retemplate相關(guān)配置
     * @param factory
     * @return
     */
    @Bean
    public RedisTemplate<String, Object> redisTemplate(RedisConnectionFactory factory) {

        RedisTemplate<String, Object> template = new RedisTemplate<>();
        // 配置連接工廠
        template.setConnectionFactory(factory);

        //使用Jackson2JsonRedisSerializer來序列化和反序列化redis的value值（默認(rèn)使用JDK的序列化方式）
        Jackson2JsonRedisSerializer jacksonSeial = new Jackson2JsonRedisSerializer(Object.class);

        ObjectMapper om = new ObjectMapper();
        // 指定要序列化的域，field,get和set,以及修飾符范圍，ANY是都有包括private和public
        om.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);
        // 指定序列化輸入的類型，類必須是非final修飾的，final修飾的類，比如String,Integer等會(huì)跑出異常
        om.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL);
        jacksonSeial.setObjectMapper(om);

        // 值采用json序列化
        template.setValueSerializer(jacksonSeial);
        //使用StringRedisSerializer來序列化和反序列化redis的key值
        template.setKeySerializer(new StringRedisSerializer());

        // 設(shè)置hash key 和value序列化模式
        template.setHashKeySerializer(new StringRedisSerializer());
        template.setHashValueSerializer(jacksonSeial);
        template.afterPropertiesSet();

        return template;
    }

    /**
     * 對(duì)hash類型的數(shù)據(jù)操作
     *
     * @param redisTemplate
     * @return
     */
    @Bean
    public HashOperations<String, String, Object> hashOperations(RedisTemplate<String, Object> redisTemplate) {
        return redisTemplate.opsForHash();
    }

    /**
     * 對(duì)redis字符串類型數(shù)據(jù)操作
     *
     * @param redisTemplate
     * @return
     */
    @Bean
    public ValueOperations<String, Object> valueOperations(RedisTemplate<String, Object> redisTemplate) {
        return redisTemplate.opsForValue();
    }

    /**
     * 對(duì)鏈表類型的數(shù)據(jù)操作
     *
     * @param redisTemplate
     * @return
     */
    @Bean
    public ListOperations<String, Object> listOperations(RedisTemplate<String, Object> redisTemplate) {
        return redisTemplate.opsForList();
    }

    /**
     * 對(duì)無序集合類型的數(shù)據(jù)操作
     *
     * @param redisTemplate
     * @return
     */
    @Bean
    public SetOperations<String, Object> setOperations(RedisTemplate<String, Object> redisTemplate) {
        return redisTemplate.opsForSet();
    }

    /**
     * 對(duì)有序集合類型的數(shù)據(jù)操作
     *
     * @param redisTemplate
     * @return
     */
    @Bean
    public ZSetOperations<String, Object> zSetOperations(RedisTemplate<String, Object> redisTemplate) {
        return redisTemplate.opsForZSet();
    }
}