IntelligentRecognition/ah-jjsp-service/.svn/pristine/df/df768162f1a94e37d0fadb39dc1...

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2024-05-24 16:09:40 +08:00
package com.sercurityControl.proteam.util;
import org.springframework.data.redis.connection.RedisConnection;
import org.springframework.data.redis.connection.RedisConnectionFactory;
import org.springframework.data.redis.core.*;
import org.springframework.stereotype.Component;
import org.springframework.util.ObjectUtils;
import javax.annotation.Resource;
import java.util.*;
import java.util.concurrent.TimeUnit;
@SuppressWarnings(value = {"unchecked", "rawtypes"})
@Component
public class RedisCache {
@Resource
public RedisTemplate redisTemplate;
/**
* 缓存基本的对象Integer、String、实体类等
* 默认30min
*
* @param key 缓存的键值
* @param value 缓存的值
*/
public <T> void setCacheObject(final String key, final T value) {
redisTemplate.opsForValue().set(key, value, 30, TimeUnit.MINUTES);
}
/**
* 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 <T> void setCacheObject(final String key, final T value, final long 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);
}
/**
* 模糊匹配key前缀删除
*/
public void deleteByPrefix(String prefix) {
Set<String> keys = redisTemplate.keys(prefix + "*");
if (!ObjectUtils.isEmpty(keys)) {
redisTemplate.delete(keys);
}
}
/**
* 模糊匹配key
*/
public List<String> getKeyByPrefix(String prefix) {
Set<String> keys = redisTemplate.keys(prefix + "*");
assert keys != null;
return new ArrayList<>(keys);
}
/**
* 查找匹配key
*
* @param pattern key
* @return /
*/
public List<String> scan(String pattern) {
ScanOptions options = ScanOptions.scanOptions().match(pattern).build();
RedisConnectionFactory factory = redisTemplate.getConnectionFactory();
RedisConnection rc = Objects.requireNonNull(factory).getConnection();
Cursor<byte[]> cursor = rc.scan(options);
List<String> result = new ArrayList<>();
while (cursor.hasNext()) {
result.add(new String(cursor.next()));
}
try {
RedisConnectionUtils.releaseConnection(rc, factory);
} catch (Exception e) {
e.printStackTrace();
}
return result;
}
/**
* 判断是否有key所对应的值
*
* @param key 缓存的键值
* @return 有则返回true没有则返回false
*/
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> T getCacheObject(final String key) {
ValueOperations<String, T> operation = redisTemplate.opsForValue();
return operation.get(key);
}
/**
* 删除单个对象
*/
public Boolean deleteObject(final String key) {
return redisTemplate.delete(key);
}
/**
* 删除集合对象
*
* @param collection 多个对象
*/
public Long deleteObject(final Collection 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
* @return 缓存的对象
*/
public <T> long setCacheList(final String key, final List<T> 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 <T> List<T> 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 <T> BoundSetOperations<String, T> setCacheSet(final String key, final Set<T> dataSet) {
BoundSetOperations<String, T> setOperation = redisTemplate.boundSetOps(key);
for (T t : dataSet) {
setOperation.add(t);
}
return setOperation;
}
/**
* 获得缓存的set
*/
public <T> Set<T> getCacheSet(final String key) {
return redisTemplate.opsForSet().members(key);
}
/**
* 缓存Map
*/
public <T> void setCacheMap(final String key, final Map<String, T> dataMap) {
if (dataMap != null) {
redisTemplate.opsForHash().putAll(key, dataMap);
}
}
/**
* 获得缓存的Map
*/
public <T> Map<String, T> 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 <T> void setCacheMapValue(final String key, final String hKey, final T value) {
redisTemplate.opsForHash().put(key, hKey, value);
}
/**
* 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, long time) {
redisTemplate.opsForHash().put(key, hKey, value);
if (time > 0) {
expire(key, time);
}
}
/**
* 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);
}
/**
* 删除hash表中的值
*
* @param key 键 不能为null
* @param item 项 可以使多个 不能为null
*/
public void deleteHashData(String key, Object... item) {
redisTemplate.opsForHash().delete(key, item);
}
/**
* 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<String> keys(final String pattern) {
return redisTemplate.keys(pattern);
}
/**
* 根据 key 获取过期时间
*
* @param key 键 不能为null
* @return 时间(秒) 返回0代表为永久有效
*/
public Long getExpire(Object key) {
return redisTemplate.getExpire(key, TimeUnit.SECONDS);
}
/**
* @param prefix 前缀
* @param ids id
*/
public void delByKeys(String prefix, Set<String> ids) {
Set<String> keys = new HashSet<>();
for (String id : ids) {
keys.addAll(keys(prefix + id));
}
long count = deleteObject(keys);
}
/**
* 根据前缀多对象模糊删除
*/
public void delByPrefixKeys(String prefix, Set<String> ids) {
Set<String> keys = new HashSet<>();
for (String id : ids) {
keys.addAll(keys(prefix + id));
}
keys.parallelStream().forEach(this::deleteByPrefix);
}
}