字符串（Strings）、哈希（hashes）、列表（lists）、集合（sets）、有序集合（sorted sets）
🤩Dos操作Redis
redis-cli 连接Redis
select index 切换库（Redis内置16个库
flushdb 刷新库
字符串
set key value [EX seconds] [PX milliseconds] [NX|XX] 存入数据
get key 取出数据
incr key 对数据进行加操作
decr key 对数据进行减操作
哈希
hset key field value 存入数据
hget key field 取出数据
列表
lpush key value [value …] 从左侧向列表中传值（可一次传多个
llen key 查看列表的长度
lindex key index 根据索引取值
lrange key start stop 根据范围取值
rpop key 弹出最右边的值
集合
sadd key member [member …] 向集合中添加元素
scard key 集合中元素的个数
spop key [count] 随机弹出集合中的元素
smembers key 显示集合中的元素
有序集合
有序集合就是给集合的每个元素加了个分数（double）来实现有序的，所以他的命令和集合相似
zadd key [NX|XX] [CH] [INCR] score member [score member …] 向有序集合中添加元素和他的分数
zcard key 集合中元素的个数
zscore key member 指定元素的分数
zrank key member 指定元素的排名（从小到大，从0开始
zrange key start stop [WITHSCORES] 取出范围内的值（从小到大排序
全局命令
keys pattern 按pattern的要求去查询库里的key
type key 查询key的数据存储类型
exists key [key …] 查询库里是否存在key
del key [key …] 删除key
expire key seconds 设置key的过期时间
😠Spring整合Redis
引入依赖
<dependency>
<groupid>org.springframework.boot</groupid>
<artifactid>spring-boot-starter-data-redis</artifactid>
</dependency>
配置Redis
RedisProperties
spring.redis.database = 11
spring.redis.host = localhost
spring.redis.port = 6379
package com.oia.community.config;
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.RedisSerializer;
@Configuration
public class RedisConfig {
@Bean
public RedisTemplate<string,object> redisTemplate(RedisConnectionFactory factory){
RedisTemplate<string, object> template = new RedisTemplate<>();
template.setConnectionFactory(factory);
// 设置key的序列化方式
template.setKeySerializer(RedisSerializer.string());
// 设置value的序列化方式
template.setValueSerializer(RedisSerializer.json());
// 设置hash的key的序列化方式
template.setHashKeySerializer(RedisSerializer.string());
// 设置hash的value的序列化方式
template.setHashValueSerializer(RedisSerializer.json());
template.afterPropertiesSet();
return template;
}
}
</string,></string,object>
访问Redis
字符串
@Test
public void testStrings() {
String redisKey = "test:count";
redisTemplate.opsForValue().set(redisKey, 1);
System.out.println(redisTemplate.opsForValue().get(redisKey));
System.out.println(redisTemplate.opsForValue().increment(redisKey));
System.out.println(redisTemplate.opsForValue().decrement(redisKey));
}
哈希
@Test
public void testHash() {
String redisKey = "test:user";
redisTemplate.opsForHash().put(redisKey, "id", 1);
redisTemplate.opsForHash().put(redisKey, "username", "zhangsan");
System.out.println(redisTemplate.opsForHash().get(redisKey, "id"));
System.out.println(redisTemplate.opsForHash().get(redisKey, "username"));
}
列表
@Test
public void testLists() {
String redisKey = "test:ids";
redisTemplate.opsForList().leftPush(redisKey, 101);
redisTemplate.opsForList().leftPush(redisKey, 102);
redisTemplate.opsForList().leftPush(redisKey, 103);
System.out.println(redisTemplate.opsForList().size(redisKey));
System.out.println(redisTemplate.opsForList().index(redisKey, 0));
System.out.println(redisTemplate.opsForList().range(redisKey, 0, 2));
System.out.println(redisTemplate.opsForList().leftPop(redisKey));
System.out.println(redisTemplate.opsForList().leftPop(redisKey));
System.out.println(redisTemplate.opsForList().leftPop(redisKey));
}
集合
@Test
public void testSets() {
String redisKey = "test:teachers";
redisTemplate.opsForSet().add(redisKey, "刘备", "关羽", "张飞", "赵云", "诸葛亮");
System.out.println(redisTemplate.opsForSet().size(redisKey));
System.out.println(redisTemplate.opsForSet().pop(redisKey));//随机弹出
System.out.println(redisTemplate.opsForSet().members(redisKey));
}
有序集合
@Test
public void testSortedSets() {
String redisKey = "test:students";
redisTemplate.opsForZSet().add(redisKey, "唐僧", 80);
redisTemplate.opsForZSet().add(redisKey, "悟空", 90);
redisTemplate.opsForZSet().add(redisKey, "八戒", 50);
redisTemplate.opsForZSet().add(redisKey, "沙僧", 70);
redisTemplate.opsForZSet().add(redisKey, "白龙马", 60);
System.out.println(redisTemplate.opsForZSet().zCard(redisKey));
System.out.println(redisTemplate.opsForZSet().score(redisKey, "八戒"));
System.out.println(redisTemplate.opsForZSet().reverseRank(redisKey, "八戒"));
System.out.println(redisTemplate.opsForZSet().reverseRange(redisKey, 0, 2));
}
key
@Test
public void testkeys() {
redisTemplate.delete("test:user");
System.out.println(redisTemplate.hasKey("test:user"));
redisTemplate.expire("test:students", 10, TimeUnit.SECONDS);
}
简化方案(多次访问同一个key)
@Test
public void testBoundOperations(){
String redisKey = "test:count";
BoundValueOperations operations = redisTemplate.boundValueOps(redisKey);
operations.increment();
operations.increment();
operations.increment();
operations.increment();
operations.increment();
System.out.println(operations.get());
}
事务
Redis查询时必须待队列中的事务提交后才出结果，因此一般使用编程式事务
@Test
public void testTransactional(){
Object obj = redisTemplate.execute(new SessionCallback() {
@Override
public Object execute(RedisOperations operations) throws DataAccessException {
String redisKey = "test:tx";
operations.multi();//启用事务
operations.opsForSet().add(redisKey,"张三");//会返回影响行数
operations.opsForSet().add(redisKey,"李四");
operations.opsForSet().add(redisKey,"王五");
System.out.println(operations.opsForSet().members(redisKey));
// 在redis管理事务时中间不要做查询
return operations.exec();//提交事务
}
});
System.out.println(obj);
}
- 前三个显示0是因为之前已经插入过啦，set不重复，所以这次插入失败
Original: https://www.cnblogs.com/xiannveryao/p/16724738.html
Author: nnn~
Title: Redis 基本操作
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