添加依赖

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

<!-- Sa-Token 整合 Redis (使用 jackson 序列化方式) -->
<dependency>
<groupId>cn.dev33</groupId>
<artifactId>sa-token-dao-redis-jackson</artifactId>
<version>1.33.0</version>
</dependency>
<!-- 提供Redis连接池 -->
<dependency>
<groupId>org.apache.commons</groupId>
<artifactId>commons-pool2</artifactId>
</dependency>

application.yml配置

spring:
redis:
# Redis数据库索引(默认为0)
database: 0
# Redis服务器地址
host: 127.0.0.1
# Redis服务器连接端口
port: 6379
# Redis服务器连接密码(默认为空)
# password:
# 连接超时时间
timeout: 10s
lettuce:
pool:
# 连接池最大连接数
max-active: 200
# 连接池最大阻塞等待时间(使用负值表示没有限制)
max-wait: -1ms
# 连接池中的最大空闲连接
max-idle: 10
# 连接池中的最小空闲连接
min-idle: 0

Redis三部曲

使用StringRedisTemplate

//如果redis里面的key和value都是字符串可以用这个操作
@Autowired
StringRedisTemplate stringRedisTemplate;
private static final long TIME_IN_MS5 = 5 * 60 * 1000; // 表示5分钟的毫秒数
String key = Constants.EMAIL_CODE + emailPrefix + email;
Integer code = Integer.valueOf(RandomUtil.randomNumbers(6));
stringRedisTemplate.opsForValue().set(key, code, TIME_IN_MS5, TimeUnit.MICROSECONDS);
// 如果这样设置过期时间,是存不进去的
//TimeUnit.MILLISECONDS 是微秒,会导致过期时间过快,很快就没了

String code = stringRedisTemplate.opsForValue().get(key);
stringRedisTemplate.opsForValue().set(key,"“);

项目中Redis的使用_spring

使用RedisTemplate

private final RedisTemplate<String, Object> redisTemplate;
redisTemplate.delete(key);

防止键和值默认的jdk序列化方式出现二进制码:

package com.partner.boot.common;

import com.fasterxml.jackson.annotation.JsonAutoDetect;
import com.fasterxml.jackson.annotation.JsonTypeInfo;
import com.fasterxml.jackson.annotation.PropertyAccessor;
import com.fasterxml.jackson.databind.DeserializationFeature;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.fasterxml.jackson.databind.jsontype.impl.LaissezFaireSubTypeValidator;
import org.springframework.cache.annotation.EnableCaching;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.redis.connection.RedisConnectionFactory;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.serializer.Jackson2JsonRedisSerializer;
import org.springframework.data.redis.serializer.StringRedisSerializer;

@Configuration
@EnableCaching
public class RedisConfig {

@Bean
public RedisTemplate<String, Object> redisTemplate(RedisConnectionFactory connectionFactory) {
RedisTemplate<String, Object> redisTemplate = new RedisTemplate<>();
// 设置 key的序列化方式 防止默认的jdk序列化方式出现二进制码 看不懂
redisTemplate.setKeySerializer(new StringRedisSerializer());

ObjectMapper objectMapper = new ObjectMapper();
objectMapper.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);
objectMapper.activateDefaultTyping(LaissezFaireSubTypeValidator.instance ,
ObjectMapper.DefaultTyping.NON_FINAL, JsonTypeInfo.As.PROPERTY);
objectMapper.configure(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES, false);

Jackson2JsonRedisSerializer jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer(Object.class);
jackson2JsonRedisSerializer.setObjectMapper(objectMapper);

redisTemplate.setValueSerializer(jackson2JsonRedisSerializer); // value的序列化类型

redisTemplate.setConnectionFactory(connectionFactory);
return redisTemplate;
}
}

使用RedisUtils封装

基本使用工具类:

package com.partner.boot.utils;

import lombok.extern.slf4j.Slf4j;
import org.springframework.data.redis.connection.RedisConnectionCommands;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.stereotype.Component;

import javax.annotation.PostConstruct;
import java.util.concurrent.TimeUnit;

@SuppressWarnings(value = {"unchecked"})
@Component
@Slf4j
public class RedisUtils {
private static RedisTemplate<String, Object> staticRedisTemplate;

private final RedisTemplate<String, Object> redisTemplate;

public RedisUtils(RedisTemplate<String, Object> redisTemplate) {
this.redisTemplate = redisTemplate;
}

// Springboot启动成功之后会调用这个方法
@PostConstruct
public void initRedis() {
// 初始化设置 静态staticRedisTemplate对象,方便后续操作数据
staticRedisTemplate = redisTemplate;
}

/**
* 缓存基本的对象,Integer、String、实体类等
*
* @param key 缓存的键值
* @param value 缓存的值
*/
public static <T> void setCacheObject(final String key, final T value) {
staticRedisTemplate.opsForValue().set(key, value);
}

/**
* 缓存基本的对象,Integer、String、实体类等
*
* @param key 缓存的键值
* @param value 缓存的值
* @param timeout 时间
* @param timeUnit 时间颗粒度
*/
public static <T> void setCacheObject(final String key, final T value, final long timeout, final TimeUnit timeUnit) {
staticRedisTemplate.opsForValue().set(key, value, timeout, timeUnit);
}

/**
* 获得缓存的基本对象。
*
* @param key 缓存键值
* @return 缓存键值对应的数据
*/
public static <T> T getCacheObject(final String key) {
return (T) staticRedisTemplate.opsForValue().get(key);
}

/**
* 删除单个对象
*
* @param key
*/
public static boolean deleteObject(final String key) {
return Boolean.TRUE.equals(staticRedisTemplate.delete(key));
}

/**
* 获取单个key的过期时间
*
* @param key
* @return
*/
public static Long getExpireTime(final String key) {
return staticRedisTemplate.getExpire(key);
}

/**
* 发送ping命令
* redis 返回pong
*/
public static void ping() {
String res = staticRedisTemplate.execute(RedisConnectionCommands::ping);
log.info("Redis ping ==== {}", res);
}

}

完整工具类:

import com.fasterxml.jackson.annotation.JsonAutoDetect;
import com.fasterxml.jackson.annotation.JsonTypeInfo;
import com.fasterxml.jackson.annotation.PropertyAccessor;
import com.fasterxml.jackson.databind.DeserializationFeature;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.fasterxml.jackson.databind.jsontype.impl.LaissezFaireSubTypeValidator;
import org.springframework.data.redis.core.BoundSetOperations;
import org.springframework.data.redis.core.HashOperations;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.core.ValueOperations;
import org.springframework.data.redis.serializer.Jackson2JsonRedisSerializer;
import org.springframework.data.redis.serializer.StringRedisSerializer;
import org.springframework.stereotype.Component;

import javax.annotation.PostConstruct;
import java.util.*;
import java.util.concurrent.TimeUnit;

/**
* redis 工具类
**/
@SuppressWarnings(value = {"unchecked", "rawtypes"})
@Component
public class RedisUtils {
private static RedisTemplate staticRedisTemplate;

private final RedisTemplate redisTemplate;

public RedisUtils(RedisTemplate redisTemplate) {
// 防止key中文乱码
redisTemplate.setKeySerializer(new StringRedisSerializer()); // key的序列化类型

Jackson2JsonRedisSerializer jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer(Object.class);
ObjectMapper objectMapper = new ObjectMapper();
objectMapper.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);
objectMapper.activateDefaultTyping(LaissezFaireSubTypeValidator.instance ,
ObjectMapper.DefaultTyping.NON_FINAL, JsonTypeInfo.As.PROPERTY);
objectMapper.configure(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES, false);

jackson2JsonRedisSerializer.setObjectMapper(objectMapper);
redisTemplate.setValueSerializer(jackson2JsonRedisSerializer); // value的序列化类型
redisTemplate.setHashKeySerializer(new StringRedisSerializer());
redisTemplate.setHashValueSerializer(jackson2JsonRedisSerializer);
redisTemplate.afterPropertiesSet();
this.redisTemplate = redisTemplate;
}

@PostConstruct
public void initRedis() {
// 初始化设置 静态redis对象,方便后续操作数据
staticRedisTemplate = redisTemplate;
}

/**
* 缓存基本的对象,Integer、String、实体类等
*
* @param key 缓存的键值
* @param value 缓存的值
*/
public static <T> void setCacheObject(final String key, final T value) {
staticRedisTemplate.opsForValue().set(key, value);
}

/**
* 缓存基本的对象,Integer、String、实体类等
*
* @param key 缓存的键值
* @param value 缓存的值
* @param timeout 时间
* @param timeUnit 时间颗粒度
*/
public static <T> void setCacheObject(final String key, final T value, final Integer timeout, final TimeUnit timeUnit) {
staticRedisTemplate.opsForValue().set(key, value, timeout, timeUnit);
}

public static <T> void setCacheObject(final String key, final T value, final long timeoutInSecond) {
setCacheObject(key, value, timeoutInSecond, TimeUnit.SECONDS);
}

/**
* 设置有效时间
*
* @param key Redis键
* @param timeout 超时时间
* @return true=设置成功;false=设置失败
*/
public static boolean expire(final String key, final long timeout) {
return expire(key, timeout, TimeUnit.SECONDS);
}

/**
* 设置有效时间
*
* @param key Redis键
* @param timeout 超时时间
* @param unit 时间单位
* @return true=设置成功;false=设置失败
*/
public static boolean expire(final String key, final long timeout, final TimeUnit unit) {
return Boolean.TRUE.equals(staticRedisTemplate.expire(key, timeout, unit));
}

/**
* 获取单个key的过期时间
* @param key
* @return
*/
public static Long getExpireTime(final String key) {
return staticRedisTemplate.getExpire(key);
}

/**
* 获得缓存的基本对象。
*
* @param key 缓存键值
* @return 缓存键值对应的数据
*/
public static <T> T getCacheObject(final String key) {
ValueOperations<String, T> operation = staticRedisTemplate.opsForValue();
return operation.get(key);
}

/**
* 删除单个对象
*
* @param key
*/
public static boolean deleteObject(final String key) {
return Boolean.TRUE.equals(staticRedisTemplate.delete(key));
}

/**
* 删除集合对象
*
* @param collection 多个对象
* @return
*/
public static Long deleteObject(final Collection collection) {
return staticRedisTemplate.delete(collection);
}

/**
* 缓存List数据
*
* @param key 缓存的键值
* @param dataList 待缓存的List数据
* @return 缓存的对象
*/
public static <T> long setCacheList(final String key, final List<T> dataList) {
Long count = staticRedisTemplate.opsForList().rightPushAll(key, dataList);
return count == null ? 0 : count;
}

/**
* 获得缓存的list对象
*
* @param key 缓存的键值
* @return 缓存键值对应的数据
*/
public static <T> List<T> getCacheList(final String key) {
return staticRedisTemplate.opsForList().range(key, 0, -1);
}

/**
* 缓存Set
*
* @param key 缓存键值
* @param dataSet 缓存的数据
* @return 缓存数据的对象
*/
public static <T> BoundSetOperations<String, T> setCacheSet(final String key, final Set<T> dataSet) {
BoundSetOperations<String, T> setOperation = staticRedisTemplate.boundSetOps(key);
Iterator<T> it = dataSet.iterator();
while (it.hasNext()) {
setOperation.add(it.next());
}
return setOperation;
}

/**
* 获得缓存的set
*
* @param key
* @return
*/
public static <T> Set<T> getCacheSet(final String key) {
return staticRedisTemplate.opsForSet().members(key);
}

/**
* 缓存Map
*
* @param key
* @param dataMap
*/
public static <T> void setCacheMap(final String key, final Map<String, T> dataMap) {
if (dataMap != null) {
staticRedisTemplate.opsForHash().putAll(key, dataMap);
}
}

/**
* 获得缓存的Map
*
* @param key
* @return
*/
public static <T> Map<String, T> getCacheMap(final String key) {
return staticRedisTemplate.opsForHash().entries(key);
}

/**
* 往Hash中存入数据
*
* @param key Redis键
* @param hKey Hash键
* @param value 值
*/
public static <T> void setCacheMapValue(final String key, final String hKey, final T value) {
staticRedisTemplate.opsForHash().put(key, hKey, value);
}

/**
* 获取Hash中的数据
*
* @param key Redis键
* @param hKey Hash键
* @return Hash中的对象
*/
public static <T> T getCacheMapValue(final String key, final String hKey) {
HashOperations<String, String, T> opsForHash = staticRedisTemplate.opsForHash();
return opsForHash.get(key, hKey);
}

/**
* 删除Hash中的数据
*
* @param key
* @param hKey
*/
public static void delCacheMapValue(final String key, final String hKey) {
HashOperations hashOperations = staticRedisTemplate.opsForHash();
hashOperations.delete(key, hKey);
}

/**
* 获取多个Hash中的数据
*
* @param key Redis键
* @param hKeys Hash键集合
* @return Hash对象集合
*/
public static <T> List<T> getMultiCacheMapValue(final String key, final Collection<Object> hKeys) {
return staticRedisTemplate.opsForHash().multiGet(key, hKeys);
}

/**
* 获得缓存的基本对象列表
*
* @param pattern 字符串前缀
* @return 对象列表
*/
public static Collection<String> keys(final String pattern) {
return staticRedisTemplate.keys(pattern);
}
}