pom.xml
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-redis</artifactId>
</dependency>
application.properties
里面添加
# 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(默认为空)
spring.redis.password=
# 连接超时时间(毫秒)
spring.redis.timeout=3000
#最大空闲数
redis.maxIdle=300
#连接池的最大数据库连接数。设为0表示无限制,如果是jedis 2.4以后用redis.maxTotal
#redis.maxActive=600
#控制一个pool可分配多少个jedis实例,用来替换上面的redis.maxActive,如果是jedis 2.4以后用该属性
redis.maxTotal=1000
#最大建立连接等待时间。如果超过此时间将接到异常。设为-1表示无限制。
redis.maxWaitMillis=1000
#连接的最小空闲时间 默认1800000毫秒(30分钟)
redis.minEvictableIdleTimeMillis=300000
#每次释放连接的最大数目,默认3
redis.numTestsPerEvictionRun=1024
#逐出扫描的时间间隔(毫秒) 如果为负数,则不运行逐出线程, 默认-1
redis.timeBetweenEvictionRunsMillis=30000
#是否在从池中取出连接前进行检验,如果检验失败,则从池中去除连接并尝试取出另一个
redis.testOnBorrow=true
#在空闲时检查有效性, 默认false
redis.testWhileIdle=true
创建RedisUtil类
package cn.itcast.ssm.util;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.*;
import org.springframework.stereotype.Service;
import org.springframework.util.CollectionUtils;
import java.io.Serializable;
import java.util.*;
import java.util.concurrent.TimeUnit;
/**
* @author wsw
* @Package cn.itcast.ssm.util
* @Description:
* @date 19-3-21 上午11:30
*/
@Service
public class RedisUtil {
@Autowired
private RedisTemplate 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<Serializable, 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<Serializable, 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<Serializable, Object> operations = redisTemplate.opsForValue();
operations.set(key, value);
result = true;
} catch (Exception e) {
e.printStackTrace();
}
return result;
}
/**
* 写入缓存并设置有效时间
*
* @param key
* @param value
* @return
*/
public boolean settime(final String key, Object value,long time) {
boolean result = false;
try {
ValueOperations<Serializable, Object> operations = redisTemplate.opsForValue();
operations.set(key, value,time,TimeUnit.SECONDS);
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<Serializable, 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<Serializable, 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);
}
/**
* 列表添加
*
* @param k
* @param v
*/
public void lPushtime(String k, Object v,long time) {
ListOperations<String, Object> list = redisTemplate.opsForList();
list.rightPush(k, v,time);
}
/* *//**
* 将list放入缓存
* @param key 键
* @param value 值
* @param time 时间(秒)
* @return
*/
public boolean lSetlist(String key, Object value, long time) {
try {
redisTemplate.opsForList().rightPush(key, value);
if (time > 0) redisTemplate.expire(key, time, TimeUnit.SECONDS);
return true;
} catch (Exception e) {
e.printStackTrace();
return false;
}
}
/**
* 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;
}
}
在service中使用
@Autowired
CropMapper cropMapper;
@Autowired
RedisUtil redisUtil;
@Override
public List<Crop> selectAllCropName() {
//从缓存中获取
List namelist= redisUtil.lRange("namelist",0,-1);
//如果缓存中没有,则从mysql中获取
if(namelist.size()==0){
List list=cropMapper.selectByExample(null);
for(Object crop:list){
Crop crop1=(Crop)crop;
namelist.add(crop1.getName());
}
}
//加入缓存中并设置过期时间120s
redisUtil.lSetlist("namelist",namelist,120);
return namelist;
}