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RedisCache中所有方法参数添加final,并优化list取出效率,添加其它常用redis方法
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@ -1,17 +1,12 @@
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package com.ruoyi.framework.redis;
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package com.ruoyi.framework.redis;
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import java.util.ArrayList;
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import java.util.Collection;
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import java.util.Collection;
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import java.util.HashSet;
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import java.util.Iterator;
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import java.util.List;
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import java.util.List;
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import java.util.Map;
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import java.util.Map;
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import java.util.Set;
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import java.util.Set;
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import java.util.concurrent.TimeUnit;
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import java.util.concurrent.TimeUnit;
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import org.springframework.beans.factory.annotation.Autowired;
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import org.springframework.beans.factory.annotation.Autowired;
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import org.springframework.data.redis.core.BoundSetOperations;
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import org.springframework.data.redis.core.HashOperations;
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import org.springframework.data.redis.core.HashOperations;
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import org.springframework.data.redis.core.ListOperations;
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import org.springframework.data.redis.core.RedisTemplate;
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import org.springframework.data.redis.core.RedisTemplate;
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import org.springframework.data.redis.core.ValueOperations;
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import org.springframework.data.redis.core.ValueOperations;
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import org.springframework.stereotype.Component;
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import org.springframework.stereotype.Component;
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@ -33,13 +28,10 @@ public class RedisCache
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*
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*
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* @param key 缓存的键值
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* @param key 缓存的键值
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* @param value 缓存的值
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* @param value 缓存的值
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* @return 缓存的对象
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*/
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*/
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public <T> ValueOperations<String, T> setCacheObject(String key, T value)
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public <T> void setCacheObject(final String key, final T value)
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{
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{
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ValueOperations<String, T> operation = redisTemplate.opsForValue();
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redisTemplate.opsForValue().set(key, value);
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operation.set(key, value);
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return operation;
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}
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}
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/**
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/**
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@ -49,13 +41,35 @@ public class RedisCache
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* @param value 缓存的值
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* @param value 缓存的值
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* @param timeout 时间
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* @param timeout 时间
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* @param timeUnit 时间颗粒度
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* @param timeUnit 时间颗粒度
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* @return 缓存的对象
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*/
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*/
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public <T> ValueOperations<String, T> setCacheObject(String key, T value, Integer timeout, TimeUnit timeUnit)
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public <T> void setCacheObject(final String key, final T value, final Integer timeout, final TimeUnit timeUnit)
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{
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{
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ValueOperations<String, T> operation = redisTemplate.opsForValue();
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redisTemplate.opsForValue().set(key, value, timeout, timeUnit);
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operation.set(key, value, timeout, timeUnit);
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}
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return operation;
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/**
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* 设置有效时间
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*
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* @param key Redis键
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* @param timeout 超时时间
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* @return true=设置成功;false=设置失败
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*/
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public boolean expire(final String key, final long timeout)
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{
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return expire(key, timeout, TimeUnit.SECONDS);
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}
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/**
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* 设置有效时间
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*
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* @param key Redis键
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* @param timeout 超时时间
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* @param unit 时间单位
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* @return true=设置成功;false=设置失败
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*/
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public boolean expire(final String key, final long timeout, final TimeUnit unit)
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{
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return redisTemplate.expire(key, timeout, unit);
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}
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}
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/**
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/**
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@ -64,7 +78,7 @@ public class RedisCache
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* @param key 缓存键值
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* @param key 缓存键值
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* @return 缓存键值对应的数据
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* @return 缓存键值对应的数据
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*/
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*/
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public <T> T getCacheObject(String key)
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public <T> T getCacheObject(final String key)
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{
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{
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ValueOperations<String, T> operation = redisTemplate.opsForValue();
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ValueOperations<String, T> operation = redisTemplate.opsForValue();
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return operation.get(key);
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return operation.get(key);
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@ -75,40 +89,33 @@ public class RedisCache
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*
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*
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* @param key
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* @param key
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*/
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*/
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public void deleteObject(String key)
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public boolean deleteObject(final String key)
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{
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{
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redisTemplate.delete(key);
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return redisTemplate.delete(key);
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}
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}
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/**
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/**
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* 删除集合对象
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* 删除集合对象
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*
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*
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* @param collection
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* @param collection 多个对象
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* @return
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*/
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*/
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public void deleteObject(Collection collection)
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public long deleteObject(final Collection collection)
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{
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{
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redisTemplate.delete(collection);
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return redisTemplate.delete(collection);
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}
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}
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/**
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/**
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* 缓存List数据
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* 缓存List数据
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*
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*
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* @param key 缓存的键值
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* @param key 缓存的键值
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* @param dataList 待缓存的List数据
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* @param values 待缓存的List数据
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* @return 缓存的对象
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* @return 缓存的对象
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*/
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*/
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public <T> ListOperations<String, T> setCacheList(String key, List<T> dataList)
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public <T> long setCacheList(final String key, final List<T> dataList)
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{
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{
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ListOperations listOperation = redisTemplate.opsForList();
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Long count = redisTemplate.opsForList().rightPushAll(key, dataList);
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if (null != dataList)
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return count == null ? 0 : count;
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{
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int size = dataList.size();
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for (int i = 0; i < size; i++)
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{
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listOperation.leftPush(key, dataList.get(i));
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}
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}
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return listOperation;
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}
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}
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/**
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/**
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@ -117,17 +124,9 @@ public class RedisCache
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* @param key 缓存的键值
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* @param key 缓存的键值
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* @return 缓存键值对应的数据
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* @return 缓存键值对应的数据
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*/
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*/
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public <T> List<T> getCacheList(String key)
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public <T> List<T> getCacheList(final String key)
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{
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{
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List<T> dataList = new ArrayList<T>();
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return redisTemplate.opsForList().range(key, 0, -1);
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ListOperations<String, T> listOperation = redisTemplate.opsForList();
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Long size = listOperation.size(key);
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for (int i = 0; i < size; i++)
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{
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dataList.add(listOperation.index(key, i));
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}
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return dataList;
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}
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}
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/**
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/**
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@ -137,15 +136,10 @@ public class RedisCache
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* @param dataSet 缓存的数据
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* @param dataSet 缓存的数据
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* @return 缓存数据的对象
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* @return 缓存数据的对象
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*/
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*/
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public <T> BoundSetOperations<String, T> setCacheSet(String key, Set<T> dataSet)
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public <T> long setCacheSet(final String key, final Set<T> dataSet)
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{
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{
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BoundSetOperations<String, T> setOperation = redisTemplate.boundSetOps(key);
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Long count = redisTemplate.opsForSet().add(key, dataSet);
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Iterator<T> it = dataSet.iterator();
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return count == null ? 0 : count;
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while (it.hasNext())
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{
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setOperation.add(it.next());
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}
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return setOperation;
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}
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}
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/**
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/**
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@ -154,12 +148,9 @@ public class RedisCache
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* @param key
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* @param key
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* @return
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* @return
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*/
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*/
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public <T> Set<T> getCacheSet(String key)
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public <T> Set<T> getCacheSet(final String key)
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{
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{
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Set<T> dataSet = new HashSet<T>();
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return redisTemplate.opsForSet().members(key);
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BoundSetOperations<String, T> operation = redisTemplate.boundSetOps(key);
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dataSet = operation.members();
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return dataSet;
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}
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}
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/**
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/**
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@ -167,20 +158,13 @@ public class RedisCache
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*
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*
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* @param key
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* @param key
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* @param dataMap
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* @param dataMap
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* @return
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*/
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*/
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public <T> HashOperations<String, String, T> setCacheMap(String key, Map<String, T> dataMap)
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public <T> void setCacheMap(final String key, final Map<String, T> dataMap)
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{
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{
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HashOperations hashOperations = redisTemplate.opsForHash();
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if (dataMap != null) {
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if (null != dataMap)
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redisTemplate.opsForHash().putAll(key, dataMap);
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{
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for (Map.Entry<String, T> entry : dataMap.entrySet())
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{
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hashOperations.put(key, entry.getKey(), entry.getValue());
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}
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}
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}
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}
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return hashOperations;
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}
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/**
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/**
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* 获得缓存的Map
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* 获得缓存的Map
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@ -188,10 +172,46 @@ public class RedisCache
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* @param key
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* @param key
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* @return
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* @return
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*/
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*/
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public <T> Map<String, T> getCacheMap(String key)
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public <T> Map<String, T> getCacheMap(final String key)
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{
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{
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Map<String, T> map = redisTemplate.opsForHash().entries(key);
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return redisTemplate.opsForHash().entries(key);
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return map;
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}
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/**
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* 往Hash中存入数据
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*
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* @param key Redis键
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* @param hKey Hash键
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* @param value 值
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*/
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public <T> void setCacheMapValue(final String key, final String hKey, final T value)
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{
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redisTemplate.opsForHash().put(key, hKey, value);
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}
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/**
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* 获取Hash中的数据
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*
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* @param key Redis键
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* @param hKey Hash键
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* @return Hash中的对象
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*/
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public <T> T getCacheMapValue(final String key, final String hKey)
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{
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HashOperations<String, String, T> opsForHash = redisTemplate.opsForHash();
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return opsForHash.get(key, hKey);
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}
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/**
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* 获取多个Hash中的数据
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*
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* @param key Redis键
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* @param hKeys Hash键集合
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* @return Hash对象集合
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*/
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public <T> List<T> getMultiCacheMapValue(final String key, final Collection<Object> hKeys)
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{
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return redisTemplate.opsForHash().multiGet(key, hKeys);
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}
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}
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/**
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/**
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@ -200,7 +220,7 @@ public class RedisCache
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* @param pattern 字符串前缀
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* @param pattern 字符串前缀
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* @return 对象列表
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* @return 对象列表
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*/
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*/
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public Collection<String> keys(String pattern)
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public Collection<String> keys(final String pattern)
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{
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{
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return redisTemplate.keys(pattern);
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return redisTemplate.keys(pattern);
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}
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}
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