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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

This commit is contained in:
liguonan 2020-07-02 19:35:37 +08:00
parent 338f661d41
commit 3a69a31d07
1 changed files with 90 additions and 70 deletions
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160
ruoyi/src/main/java/com/ruoyi/framework/redis/RedisCache.java
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@ -1,17 +1,12 @@
package com.ruoyi.framework.redis;
import java.util.ArrayList;
import java.util.Collection;
import java.util.HashSet;
import java.util.Iterator;
import java.util.List;
import java.util.Map;
import java.util.Set;
import java.util.concurrent.TimeUnit;
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.ListOperations;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.core.ValueOperations;
import org.springframework.stereotype.Component;
@ -33,13 +28,10 @@ public class RedisCache
*
* @param key 缓存的键值
* @param value 缓存的值
* @return 缓存的对象
*/
public <T> ValueOperations<String, T> setCacheObject(String key, T value)
public <T> void setCacheObject(final String key, final T value)
{
ValueOperations<String, T> operation = redisTemplate.opsForValue();
operation.set(key, value);
return operation;
redisTemplate.opsForValue().set(key, value);
}
/**
@ -49,13 +41,35 @@ public class RedisCache
* @param value 缓存的值
* @param timeout 时间
* @param timeUnit 时间颗粒度
* @return 缓存的对象
*/
public <T> ValueOperations<String, T> setCacheObject(String key, T value, Integer timeout, TimeUnit timeUnit)
public <T> void setCacheObject(final String key, final T value, final Integer timeout, final TimeUnit timeUnit)
{
ValueOperations<String, T> operation = redisTemplate.opsForValue();
operation.set(key, value, timeout, timeUnit);
return operation;
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);
}
/**
@ -64,7 +78,7 @@ public class RedisCache
* @param key 缓存键值
* @return 缓存键值对应的数据
*/
public <T> T getCacheObject(String key)
public <T> T getCacheObject(final String key)
{
ValueOperations<String, T> operation = redisTemplate.opsForValue();
return operation.get(key);
@ -75,40 +89,33 @@ public class RedisCache
*
* @param key
*/
public void deleteObject(String key)
public boolean deleteObject(final String key)
{
redisTemplate.delete(key);
return redisTemplate.delete(key);
}
/**
* 删除集合对象
*
* @param collection
* @param collection 多个对象
* @return
*/
public void deleteObject(Collection collection)
public long deleteObject(final Collection collection)
{
redisTemplate.delete(collection);
return redisTemplate.delete(collection);
}
/**
* 缓存List数据
*
* @param key 缓存的键值
* @param dataList 待缓存的List数据
* @param values 待缓存的List数据
* @return 缓存的对象
*/
public <T> ListOperations<String, T> setCacheList(String key, List<T> dataList)
public <T> long setCacheList(final String key, final List<T> dataList)
{
ListOperations listOperation = redisTemplate.opsForList();
if (null != dataList)
{
int size = dataList.size();
for (int i = 0; i < size; i++)
{
listOperation.leftPush(key, dataList.get(i));
}
}
return listOperation;
Long count = redisTemplate.opsForList().rightPushAll(key, dataList);
return count == null ? 0 : count;
}
/**
@ -117,17 +124,9 @@ public class RedisCache
* @param key 缓存的键值
* @return 缓存键值对应的数据
*/
public <T> List<T> getCacheList(String key)
public <T> List<T> getCacheList(final String key)
{
List<T> dataList = new ArrayList<T>();
ListOperations<String, T> listOperation = redisTemplate.opsForList();
Long size = listOperation.size(key);
for (int i = 0; i < size; i++)
{
dataList.add(listOperation.index(key, i));
}
return dataList;
return redisTemplate.opsForList().range(key, 0, -1);
}
/**
@ -137,15 +136,10 @@ public class RedisCache
* @param dataSet 缓存的数据
* @return 缓存数据的对象
*/
public <T> BoundSetOperations<String, T> setCacheSet(String key, Set<T> dataSet)
public <T> long setCacheSet(final String key, final Set<T> dataSet)
{
BoundSetOperations<String, T> setOperation = redisTemplate.boundSetOps(key);
Iterator<T> it = dataSet.iterator();
while (it.hasNext())
{
setOperation.add(it.next());
}
return setOperation;
Long count = redisTemplate.opsForSet().add(key, dataSet);
return count == null ? 0 : count;
}
/**
@ -154,12 +148,9 @@ public class RedisCache
* @param key
* @return
*/
public <T> Set<T> getCacheSet(String key)
public <T> Set<T> getCacheSet(final String key)
{
Set<T> dataSet = new HashSet<T>();
BoundSetOperations<String, T> operation = redisTemplate.boundSetOps(key);
dataSet = operation.members();
return dataSet;
return redisTemplate.opsForSet().members(key);
}
/**
@ -167,19 +158,12 @@ public class RedisCache
*
* @param key
* @param dataMap
* @return
*/
public <T> HashOperations<String, String, T> setCacheMap(String key, Map<String, T> dataMap)
public <T> void setCacheMap(final String key, final Map<String, T> dataMap)
{
HashOperations hashOperations = redisTemplate.opsForHash();
if (null != dataMap)
{
for (Map.Entry<String, T> entry : dataMap.entrySet())
{
hashOperations.put(key, entry.getKey(), entry.getValue());
}
if (dataMap != null) {
redisTemplate.opsForHash().putAll(key, dataMap);
}
return hashOperations;
}
/**
@ -188,10 +172,46 @@ public class RedisCache
* @param key
* @return
*/
public <T> Map<String, T> getCacheMap(String key)
public <T> Map<String, T> getCacheMap(final String key)
{
Map<String, T> map = redisTemplate.opsForHash().entries(key);
return map;
return redisTemplate.opsForHash().entries(key);
}
/**
* 往Hash中存入数据
*
* @param key Redis键
* @param hKey Hash键
* @param value 值
*/
public <T> 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> T getCacheMapValue(final String key, final String hKey)
{
HashOperations<String, String, T> 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 <T> List<T> getMultiCacheMapValue(final String key, final Collection<Object> hKeys)
{
return redisTemplate.opsForHash().multiGet(key, hKeys);
}
/**
@ -200,7 +220,7 @@ public class RedisCache
* @param pattern 字符串前缀
* @return 对象列表
*/
public Collection<String> keys(String pattern)
public Collection<String> keys(final String pattern)
{
return redisTemplate.keys(pattern);
}