在Java中操作Redis
使用Jedis操作Redis
redis的java客户端很多，官方推荐的有三种：
Jedis
Lettuce
Redisson
Spring 对Redis 客户端进行了整合，提供了Spring Date Redis ，在Spring Boot项目中还提供了对应的Starter，即spring-boot-starter-data-redis
使用Jedis操作Redis的步骤
1.获取链接
2.执行操作
3.关闭连接
package com.example.demotest;
import org.junit.jupiter.api.Test;
import redis.clients.jedis.Jedis;
import java.util.Set;
/**
* 使用Jedis操作Redis
*/
public class JedisTest {
@Test
public void testRedis(){
//1.获取连接
Jedis jedis = new Jedis("localhost",6379);
//2.执行具体的操作
jedis.set("username","huan");
String username = jedis.get("username");
System.out.println(username);
//jedis.del("username");
jedis.hset("myhash","addr","sz");
String hValue = jedis.hget("myhash", "addr");
System.out.println(hValue);
Set keys = jedis.keys("*");
for (String key : keys) {
System.out.println(key);
}
//3.关闭连接
jedis.close();
}
} 
使用Spring Data Redis来简化Redis操作
Spring Data Redis 中提供了一个高度封装的类，针对jedis客户端中大量api进行了归类封装，将同一类型操作封装为operation接口，具体分类如下：
ValueOperations：简单K-V操作
SetOperations ：set 类型数据操作
ZSetOperations：zset 类型数据操作
HashOperations：针对map类型的数据操作
ListOperations：针对list类型的数据操作
默认操作的是0号数据库，也可以切换其他数据库
设置一下序列化，这样设置key的时候不会变成乱码
package com.example.demotest;
import org.springframework.cache.annotation.CachingConfigurerSupport;
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.StringRedisSerializer;
@Configuration
public class RedisConfig extends CachingConfigurerSupport {
@Bean
public RedisTemplate redisTemplate(RedisConnectionFactory connectionFactory){
RedisTemplate redisTemplate = new RedisTemplate<>();
redisTemplate.setKeySerializer(new StringRedisSerializer());
redisTemplate.setHashKeySerializer(new StringRedisSerializer());
redisTemplate.setConnectionFactory(connectionFactory);
return redisTemplate;
}
} package com.example.demotest;
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.connection.DataType;
import org.springframework.data.redis.core.*;
import org.springframework.test.context.junit4.SpringRunner;
import java.util.List;
import java.util.Set;
import java.util.concurrent.TimeUnit;
@SpringBootTest
@RunWith(SpringRunner.class)
public class SpringDataRedisTest {
@Autowired
private RedisTemplate redisTemplate;
@Test
public void testString(){
redisTemplate.opsForValue().set("city2","sz");
String city2 = (String) redisTemplate.opsForValue().get("city2");
System.out.println("打印一下" + city2);
//指定过期时间 10 秒
redisTemplate.opsForValue().set("key1","value1",10l, TimeUnit.SECONDS);
//如果不存在key则设置
Boolean aBoolean = redisTemplate.opsForValue().setIfAbsent("city", "sz");
System.out.println(aBoolean);
}
@Test
public void testHash(){
HashOperations hashOperations = redisTemplate.opsForHash();
//存值
hashOperations.put("002","name","hh");
hashOperations.put("002","age","20");
hashOperations.put("002","address","sz");
//取值
String age = (String) hashOperations.get("002", "age");
System.out.println(age);
//获得hash结构中的所有字段
Set keys = hashOperations.keys("002");
for (Object key : keys) {
System.out.println(key);
}
//获得hash结构中的所有值
List values = hashOperations.values("002");
for (Object value : values) {
System.out.println(value);
}
}
/**
* 操作list类型的数据
*/
@Test
public void testList(){
ListOperations listOperations = redisTemplate.opsForList();
//存储
listOperations.leftPush("mylist","a");
listOperations.leftPushAll("mylist","b","c","d");
//取值
List mylist = listOperations.range("mylist", 0, -1);
for (String value : mylist) {
System.out.println(value);
}
//获得列表长度
Long size = listOperations.size("mylist");
int lSize = size.intValue();
for (int i = 0; i < lSize; i++) {
//出队列
String elment = (String) listOperations.rightPop("mylist");
System.out.println(elment);
}
}
/**
* 操作set类型的数据
*/
@Test
public void testSet(){
SetOperations setOperations = redisTemplate.opsForSet();
//存值
setOperations.add("myset","a","b","c","a");
//取值
Set myset = setOperations.members("myset");
for (String s : myset) {
System.out.println(s);
}
//删除成员
setOperations.remove("myset","a","b");
//取值
myset = setOperations.members("myset");
for (String s : myset) {
System.out.println(s);
}
}
/**
* 操作zset类型的数据
*/
@Test
public void testZset(){
ZSetOperations zSetOperations = redisTemplate.opsForZSet();
//存值
zSetOperations.add("myZset","a",10.0);
zSetOperations.add("myZset","b",11.0);
zSetOperations.add("myZset","d",12.0);
zSetOperations.add("myZset","a",13.0);
//取值
Set myZset = zSetOperations.range("myZset", 0, -1);
for (String s : myZset) {
System.out.println(s);
}
//修改分数
zSetOperations.incrementScore("myZset","b",20.0);
//取值
myZset = zSetOperations.range("myZset", 0, -1);
for (String s : myZset) {
System.out.println(s);
}
//删除成员
zSetOperations.remove("myZset","a","b");
}
@Test
public void testCommon(){
//获取Redis 中所有的key
Set keys = redisTemplate.keys("*");
for (String key : keys) {
System.out.println(key);
}
//判断某个key是否存在
Boolean hh = redisTemplate.hasKey("hh");
System.out.println(hh);
//删除指定key
redisTemplate.delete("myzset");
//获取指定key对应的value的数据类型
DataType dataType = redisTemplate.type("myset");
System.out.println(dataType.name());
}
} 