Redis是一个开源的使用ANSI C语言编写、支持网络、可基于内存亦可持久化的日志型、Key-Value数据库，并提供多种语言的API。
redis是一个key-value存储系统，支持存储的value类型包括string(字符串)、list(链表)、set(集合)、zset(sorted set --有序集合)和hash（哈希类型）。
一、pom.xml引入redis模块
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-redis</artifactId>
</dependency>二、application.properties配置
server.port = 9001
# Redis数据库索引（默认为0）
spring.redis.database = 0
# Redis服务器地址
spring.redis.host = 127.0.0.1
# Redis服务器连接端口
spring.redis.port = 6379
# Redis服务器连接密码（如果没有则设置为空）
spring.redis.password = 123456
# 连接池最大连接数（使用负值表示没有限制）
spring.redis.pool.max-active = 8
# 连接池最大阻塞等待时间（使用负值表示没有限制）
spring.redis.pool.max-wait = -1
# 连接池中的最大空闲连接
spring.redis.pool.max-idle = 8
# 连接池中的最小空闲连接
spring.redis.pool.min-idle = 0
# 连接超时时间（毫秒）
spring.redis.timeout = 1000备注：
网上一些例子spring.redis.timeout设置为0，不能设置为0，刚开始也是照抄过来，结果报了连接超时错误
Unable to connect to Redis; nested exception is io.lettuce.core.RedisCommandTimeoutException: Command timed out
三、RedisConfig配置
代码来自：https://blog.csdn.net/lx1309244704/article/details/80696235
package com.example.demo.config;
import java.lang.reflect.Method;
import java.util.HashSet;
import java.util.Set;
import javax.annotation.Resource;
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.data.redis.cache.RedisCacheManager;
import org.springframework.data.redis.connection.lettuce.LettuceConnectionFactory;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.serializer.Jackson2JsonRedisSerializer;
import org.springframework.data.redis.serializer.RedisSerializer;
import org.springframework.data.redis.serializer.StringRedisSerializer;
import com.fasterxml.jackson.annotation.JsonAutoDetect.Visibility;
import com.fasterxml.jackson.annotation.PropertyAccessor;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.fasterxml.jackson.databind.ObjectMapper.DefaultTyping;
@Configuration
@EnableCaching
public class RedisConfig extends CachingConfigurerSupport {
@Resource
private LettuceConnectionFactory lettuceConnectionFactory;
@Bean
public KeyGenerator keyGenerator() {
return new KeyGenerator() {
@Override
public Object generate(Object target, Method method, Object... params) {
StringBuffer sb = new StringBuffer();
sb.append(target.getClass().getName());
sb.append(method.getName());
for (Object obj : params) {
sb.append(obj.toString());
}
return sb.toString();
}
};
}
// 缓存管理器
@Bean
public CacheManager cacheManager() {
RedisCacheManager.RedisCacheManagerBuilder builder =
RedisCacheManager.RedisCacheManagerBuilder.fromConnectionFactory(lettuceConnectionFactory);
@SuppressWarnings("serial")
Set<String> cacheNames = new HashSet<String>() {
{
add("codeNameCache");
}
};
builder.initialCacheNames(cacheNames);
return builder.build();
}
/**
* RedisTemplate配置
*/
@Bean
public RedisTemplate<String, Object> redisTemplate(LettuceConnectionFactory lettuceConnectionFactory) {
// 设置序列化
Jackson2JsonRedisSerializer<Object> jackson2JsonRedisSerializer = new
Jackson2JsonRedisSerializer<Object>(Object.class);
ObjectMapper om = new ObjectMapper();
om.setVisibility(PropertyAccessor.ALL, Visibility.ANY);
om.enableDefaultTyping(DefaultTyping.NON_FINAL);
jackson2JsonRedisSerializer.setObjectMapper(om);
// 配置redisTemplate
RedisTemplate<String, Object> redisTemplate = new RedisTemplate<String, Object>();
redisTemplate.setConnectionFactory(lettuceConnectionFactory);
RedisSerializer<?> stringSerializer = new StringRedisSerializer();
redisTemplate.setKeySerializer(stringSerializer);// key序列化
redisTemplate.setValueSerializer(jackson2JsonRedisSerializer);// value序列化
redisTemplate.setHashKeySerializer(stringSerializer);// Hash key序列化
redisTemplate.setHashValueSerializer(jackson2JsonRedisSerializer);// Hash value序列化
redisTemplate.afterPropertiesSet();
return redisTemplate;
}
}
四、Redis使用例子
package com.example.demo.web.controller;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.StringRedisTemplate;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RequestMethod;
import org.springframework.web.bind.annotation.RestController;
@RestController
public class DemoController {
@Autowired
private StringRedisTemplate stringRedisTemplate;
@RequestMapping(value = "/redis", method = RequestMethod.GET)
public String redis() {
stringRedisTemplate.opsForValue().set("test1", "test11111");//存入数据
String test1 = stringRedisTemplate.opsForValue().get("test1");
return test1;
}
}在浏览器访问http://localhost:9001/redis，可看到输出结果为：test11111
备注：RedisTemplate中定义了5种数据结构操作
redisTemplate.opsForValue(); //操作字符串
redisTemplate.opsForHash(); //操作hash
redisTemplate.opsForList(); //操作list
redisTemplate.opsForSet(); //操作set
redisTemplate.opsForZSet(); //操作有序set五、单元测试
package com.example.demo;
import org.junit.Assert;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.data.redis.core.StringRedisTemplate;
import org.springframework.test.context.junit4.SpringRunner;
@RunWith(SpringRunner.class)
@SpringBootTest
public class DemoApplicationTests {
@Autowired
private StringRedisTemplate stringRedisTemplate;
@Test
public void contextLoads() {
}
@Test
public void test1() throws Exception {
stringRedisTemplate.opsForValue().set("a", "123");
Assert.assertEquals("123", stringRedisTemplate.opsForValue().get("a"));
}
}