这篇文章将为大家详细讲解有关如何使用Springboot中的RedisUtils工具类，小编觉得挺实用的，因此分享给大家做个参考，希望大家阅读完这篇文章后可以有所收获。
引入Redis依赖
<!-- redis-->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-redis</artifactId>
</dependency>设置Redis的Template
RedisConfig.java
package cn.wideth.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;
/**
* 编写配置类，构造RedisTemplate
* 这个springboot已经帮我们配了，
* 但是默认object，我想改成string
*/
@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;
}
}设置Redis连接信息
Redis工具类
redisTemplate API
1.opsForValue -> String
2.opsForSet -> Set
3.opsForHash -> hash
4.opsForZset -> SortSet
5.opsForList -> list队列
package cn.wideth.util.other;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.*;
import java.util.List;
import java.util.Set;
import java.util.concurrent.TimeUnit;
public class RedisUtils {
@Autowired
private RedisTemplate<String, Object> redisTemplate;
private static double size = Math.pow(2, 32);
/**
* 写入缓存
* @param key
* @param offset 位 8Bit=1Byte
* @return
*/
public boolean setBit(String key, long offset, boolean isShow) {
boolean result = false;
try {
ValueOperations<String, Object> operations = redisTemplate.opsForValue();
operations.setBit(key, offset, isShow);
result = true;
} catch (Exception e) {
e.printStackTrace();
}
return result;
}
/**
* 写入缓存
*
* @param key
* @param offset
* @return
*/
public boolean getBit(String key, long offset) {
boolean result = false;
try {
ValueOperations<String, Object> operations = redisTemplate.opsForValue();
result = operations.getBit(key, offset);
} catch (Exception e) {
e.printStackTrace();
}
return result;
}
/**
* 写入缓存
*
* @param key
* @param value
* @return
*/
public boolean set(final String key, Object value) {
boolean result = false;
try {
ValueOperations<String, Object> operations = redisTemplate.opsForValue();
operations.set(key, value);
result = true;
} catch (Exception e) {
e.printStackTrace();
}
return result;
}
/**
* 写入缓存设置时效时间
* @param key
* @param value
* @return
*/
public boolean set(final String key, Object value, Long expireTime) {
boolean result = false;
try {
ValueOperations<String, Object> operations = redisTemplate.opsForValue();
operations.set(key, value);
redisTemplate.expire(key, expireTime, TimeUnit.SECONDS);
result = true;
} catch (Exception e) {
e.printStackTrace();
}
return result;
}
/**
* 批量删除对应的value
*
* @param keys
*/
public void remove(final String... keys) {
for (String key : keys) {
remove(key);
}
}
/**
* 删除对应的value
*
* @param key
*/
public void remove(final String key) {
if (exists(key)) {
redisTemplate.delete(key);
}
}
/**
* 判断缓存中是否有对应的value
*
* @param key
* @return
*/
public boolean exists(final String key) {
return redisTemplate.hasKey(key);
}
/**
* 读取缓存
*
* @param key
* @return
*/
public Object get(final String key) {
Object result = null;
ValueOperations<String, Object> operations = redisTemplate.opsForValue();
result = operations.get(key);
return result;
}
/**
* 哈希 添加
*
* @param key
* @param hashKey
* @param value
*/
public void hmSet(String key, Object hashKey, Object value) {
HashOperations<String, Object, Object> hash = redisTemplate.opsForHash();
hash.put(key, hashKey, value);
}
/**
* 哈希获取数据
*
* @param key
* @param hashKey
* @return
*/
public Object hmGet(String key, Object hashKey) {
HashOperations<String, Object, Object> hash = redisTemplate.opsForHash();
return hash.get(key, hashKey);
}
/**
* 列表添加
*
* @param k
* @param v
*/
public void lPush(String k, Object v) {
ListOperations<String, Object> list = redisTemplate.opsForList();
list.rightPush(k, v);
}
/**
* 列表获取
*
* @param k
* @param l
* @param l1
* @return
*/
public List<Object> lRange(String k, long l, long l1) {
ListOperations<String, Object> list = redisTemplate.opsForList();
return list.range(k, l, l1);
}
/**
* 集合添加
*
* @param key
* @param value
*/
public void add(String key, Object value) {
SetOperations<String, Object> set = redisTemplate.opsForSet();
set.add(key, value);
}
/**
* 集合获取
* @param key
* @return
*/
public Set<Object> setMembers(String key) {
SetOperations<String, Object> set = redisTemplate.opsForSet();
return set.members(key);
}
/**
* 有序集合添加
* @param key
* @param value
* @param scoure
*/
public void zAdd(String key, Object value, double scoure) {
ZSetOperations<String, Object> zset = redisTemplate.opsForZSet();
zset.add(key, value, scoure);
}
/**
* 有序集合获取
* @param key
* @param scoure
* @param scoure1
* @return
*/
public Set<Object> rangeByScore(String key, double scoure, double scoure1) {
ZSetOperations<String, Object> zset = redisTemplate.opsForZSet();
redisTemplate.opsForValue();
return zset.rangeByScore(key, scoure, scoure1);
}
//第一次加载的时候将数据加载到redis中
public void saveDataToRedis(String name) {
double index = Math.abs(name.hashCode() % size);
long indexLong = new Double(index).longValue();
boolean availableUsers = setBit("availableUsers", indexLong, true);
}
//第一次加载的时候将数据加载到redis中
public boolean getDataToRedis(String name) {
double index = Math.abs(name.hashCode() % size);
long indexLong = new Double(index).longValue();
return getBit("availableUsers", indexLong);
}
/**
* 有序集合获取排名
* @param key 集合名称
* @param value 值
*/
public Long zRank(String key, Object value) {
ZSetOperations<String, Object> zset = redisTemplate.opsForZSet();
return zset.rank(key,value);
}
/**
* 有序集合获取排名
* @param key
*/
public Set<ZSetOperations.TypedTuple<Object>> zRankWithScore(String key, long start,long end) {
ZSetOperations<String, Object> zset = redisTemplate.opsForZSet();
Set<ZSetOperations.TypedTuple<Object>> ret = zset.rangeWithScores(key,start,end);
return ret;
}
/**
* 有序集合添加
* @param key
* @param value
*/
public Double zSetScore(String key, Object value) {
ZSetOperations<String, Object> zset = redisTemplate.opsForZSet();
return zset.score(key,value);
}
/**
* 有序集合添加分数
* @param key
* @param value
* @param scoure
*/
public void incrementScore(String key, Object value, double scoure) {
ZSetOperations<String, Object> zset = redisTemplate.opsForZSet();
zset.incrementScore(key, value, scoure);
}
/**
* 有序集合获取排名
* @param key
*/
public Set<ZSetOperations.TypedTuple<Object>> reverseZRankWithScore(String key, long start,long end) {
ZSetOperations<String, Object> zset = redisTemplate.opsForZSet();
Set<ZSetOperations.TypedTuple<Object>> ret = zset.reverseRangeByScoreWithScores(key,start,end);
return ret;
}
/**
* 有序集合获取排名
* @param key
*/
public Set<ZSetOperations.TypedTuple<Object>> reverseZRankWithRank(String key, long start, long end) {
ZSetOperations<String, Object> zset = redisTemplate.opsForZSet();
Set<ZSetOperations.TypedTuple<Object>> ret = zset.reverseRangeWithScores(key, start, end);
return ret;
}
}关于“如何使用Springboot中的RedisUtils工具类”这篇文章就分享到这里了，希望以上内容可以对大家有一定的帮助，使各位可以学到更多知识，如果觉得文章不错，请把它分享出去让更多的人看到。
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