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<String> 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<Object, Object> redisTemplate(RedisConnectionFactory connectionFactory){ RedisTemplate<Object,Object> 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<String> 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<String> 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<String> 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<String> 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()); } }
