package com.example.redis.utils;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.BoundSetOperations;
import org.springframework.data.redis.core.HashOperations;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.core.ValueOperations;
import org.springframework.stereotype.Component;
import java.util.*;
import java.util.concurrent.TimeUnit;
/**
* spring redis 工具类
**/
@SuppressWarnings(value = { "unchecked", "rawtypes" })
@Component
public class RedisCache
{
@Autowired
public RedisTemplate redisTemplate;
/**
* 缓存基本的对象,Integer、String、实体类等
*
* @param key 缓存的键值
* @param value 缓存的值
*/
public void setCacheObject(final String key, final T value)
{
redisTemplate.opsForValue().set(key, value);
}
/**
* 缓存基本的对象,Integer、String、实体类等
*
* @param key 缓存的键值
* @param value 缓存的值
* @param timeout 时间
* @param timeUnit 时间颗粒度
*/
public void setCacheObject(final String key, final T value, final Integer timeout, final TimeUnit timeUnit)
{
redisTemplate.opsForValue().set(key, value, timeout, timeUnit);
}
/**
* 设置有效时间
*
* @param key Redis键
* @param timeout 超时时间
* @return true=设置成功;false=设置失败
*/
public boolean expire(final String key, final long timeout)
{
return expire(key, timeout, TimeUnit.SECONDS);
}
/**
* 设置有效时间
*
* @param key Redis键
* @param timeout 超时时间
* @param unit 时间单位
* @return true=设置成功;false=设置失败
*/
public boolean expire(final String key, final long timeout, final TimeUnit unit)
{
return redisTemplate.expire(key, timeout, unit);
}
/**
* 获取有效时间
*
* @param key Redis键
* @return 有效时间
*/
public long getExpire(final String key)
{
return redisTemplate.getExpire(key);
}
/**
* 判断 key是否存在
*
* @param key 键
* @return true 存在 false不存在
*/
public Boolean hasKey(String key)
{
return redisTemplate.hasKey(key);
}
/**
* 获得缓存的基本对象。
*
* @param key 缓存键值
* @return 缓存键值对应的数据
*/
public T getCacheObject(final String key)
{
ValueOperations operation = redisTemplate.opsForValue();
return operation.get(key);
}
/**
* 删除单个对象
*
* @param key
*/
public boolean deleteObject(final String key)
{
return redisTemplate.delete(key);
}
/**
* 删除集合对象
*
* @param collection 多个对象
* @return
*/
public boolean deleteObject(final Collection collection)
{
return redisTemplate.delete(collection) > 0;
}
/**
* 缓存List数据
*
* @param key 缓存的键值
* @param dataList 待缓存的List数据
* @return 缓存的对象
*/
public long setCacheList(final String key, final List dataList)
{
Long count = redisTemplate.opsForList().rightPushAll(key, dataList);
return count == null ? 0 : count;
}
/**
* 获得缓存的list对象
*
* @param key 缓存的键值
* @return 缓存键值对应的数据
*/
public List getCacheList(final String key)
{
return redisTemplate.opsForList().range(key, 0, -1);
}
/**
* 缓存Set
*
* @param key 缓存键值
* @param dataSet 缓存的数据
* @return 缓存数据的对象
*/
public BoundSetOperations setCacheSet(final String key, final Set dataSet)
{
BoundSetOperations setOperation = redisTemplate.boundSetOps(key);
Iterator it = dataSet.iterator();
while (it.hasNext())
{
setOperation.add(it.next());
}
return setOperation;
}
/**
* 获得缓存的set
*
* @param key
* @return
*/
public Set getCacheSet(final String key)
{
return redisTemplate.opsForSet().members(key);
}
/**
* 缓存Map
*
* @param key
* @param dataMap
*/
public void setCacheMap(final String key, final Map dataMap)
{
if (dataMap != null) {
redisTemplate.opsForHash().putAll(key, dataMap);
}
}
/**
* 获得缓存的Map
*
* @param key
* @return
*/
public Map getCacheMap(final String key)
{
return redisTemplate.opsForHash().entries(key);
}
/**
* 往Hash中存入数据
*
* @param key Redis键
* @param hKey Hash键
* @param value 值
*/
public void setCacheMapValue(final String key, final String hKey, final T value)
{
redisTemplate.opsForHash().put(key, hKey, value);
}
/**
* 获取Hash中的数据
*
* @param key Redis键
* @param hKey Hash键
* @return Hash中的对象
*/
public T getCacheMapValue(final String key, final String hKey)
{
HashOperations opsForHash = redisTemplate.opsForHash();
return opsForHash.get(key, hKey);
}
/**
* 获取多个Hash中的数据
*
* @param key Redis键
* @param hKeys Hash键集合
* @return Hash对象集合
*/
public List getMultiCacheMapValue(final String key, final Collection hKeys)
{
return redisTemplate.opsForHash().multiGet(key, hKeys);
}
/**
* 删除Hash中的某条数据
*
* @param key Redis键
* @param hKey Hash键
* @return 是否成功
*/
public boolean deleteCacheMapValue(final String key, final String hKey)
{
return redisTemplate.opsForHash().delete(key, hKey) > 0;
}
/**
* 获得缓存的基本对象列表
*
* @param pattern 字符串前缀
* @return 对象列表
*/
public Collection keys(final String pattern)
{
return redisTemplate.keys(pattern);
}
/**
* 存储有序集合
* @param key 键
* @param value 值
* @param score 排序
*/
public void zSet(Object key, Object value, double score){
redisTemplate.opsForZSet().add(key, value, score);
}
/**
* 存储值
* @param key 键
* @param set 集合
*/
public void zSet(Object key, Set set){
redisTemplate.opsForZSet().add(key, set);
}
/**
* 获取key指定范围的值
* @param key 键
* @param start 开始位置
* @param end 结束位置
* @return 返回set
*/
public Set zGet(Object key, long start, long end){
Set set = redisTemplate.opsForZSet().range(key, start, end);
return set;
}
/**
* 获取key对应的所有值
* @param key 键
* @return 返回set
*/
public Set zGet(Object key){
Set set = redisTemplate.opsForZSet().range(key, 0, -1);
return set;
}
/**
* 获取对用数据的大小
* @param key 键
* @return 键值大小
*/
public long zGetSize(Object key){
Long size = redisTemplate.opsForZSet().size(key);
return size;
}
}
六、User实体类
需要实现序列化接口
package com.example.redis.domain;
import lombok.AllArgsConstructor;
import lombok.Data;
import lombok.NoArgsConstructor;
import java.io.Serializable;
@Data
@AllArgsConstructor
@NoArgsConstructor
public class User implements Serializable{
private String username;
private String password;
}
七、五种基本数据类型
下面介绍一下每种代码的使用示例
7.1、String类型
@Autowired
private RedisCache redisCache;
public void string(){
User user = new User("mike","123456");
redisCache.setCacheObject("user",user);
User redisUser = redisCache.getCacheObject("user");
System.out.println(redisUser);
}
7.2、List类型
@Autowired
private RedisCache redisCache;
public void list(){
List list = new ArrayList<>();
list.add("aaa");
list.add("bbb");
redisCache.setCacheList("list",list);
List redisList = redisCache.getCacheList("list");
System.out.println(redisList);
}
7.3、Set类型
@Autowired
private RedisCache redisCache;
public void set(){
Set set = new HashSet<>();
set.add("aaa");
set.add("bbb");
redisCache.setCacheSet("set",set);
Set redisSet = redisCache.getCacheSet("set");
System.out.println(redisSet);
}
7.4、Map类型
@Autowired
private RedisCache redisCache;
public void map(){
User user = new User("mike","123456");
Map map = new HashMap<>(16);
map.put("username", user.getUsername());
map.put("password", user.getPassword());
redisCache.setCacheMap("map",map);
Map redisMap = redisCache.getCacheMap("map");
System.out.println(redisMap);
}
7.5、ZSet类型
@Autowired
private RedisCache redisCache;
public void ZSet(){
String key = "ZSet_key";
User user1 = new User("Tom", "123");
User user2 = new User("Jack", "123");
Set hashSet = new HashSet<>();
hashSet.add(user1);
hashSet.add(user2);
redisCache.zSet(key,user1,0);
redisCache.zSet(key,user2,1);
Set set = redisCache.zGet(key, 0, -1);
System.out.println(set);
}
package spark.examples.scala.grammars.caseclasses
object CaseClass_Test00 {
def simpleMatch(arg: Any) = arg match {
case v: Int => "This is an Int"
case v: (Int, String)