310 lines
8.2 KiB
Plaintext
310 lines
8.2 KiB
Plaintext
package com.sercurityControl.proteam.util;
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import org.springframework.data.redis.connection.RedisConnection;
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import org.springframework.data.redis.connection.RedisConnectionFactory;
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import org.springframework.data.redis.core.*;
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import org.springframework.stereotype.Component;
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import org.springframework.util.ObjectUtils;
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import javax.annotation.Resource;
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import java.util.*;
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import java.util.concurrent.TimeUnit;
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@SuppressWarnings(value = {"unchecked", "rawtypes"})
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@Component
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public class RedisCache {
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@Resource
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public RedisTemplate redisTemplate;
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/**
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* 缓存基本的对象，Integer、String、实体类等
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* 默认30min
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*
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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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*/
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public <T> void setCacheObject(final String key, final T value) {
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redisTemplate.opsForValue().set(key, value, 30, TimeUnit.MINUTES);
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}
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/**
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* 缓存基本的对象，Integer、String、实体类等
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*
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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 timeout 时间
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* @param timeUnit 时间颗粒度
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*/
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public <T> void setCacheObject(final String key, final T value, final long timeout, final TimeUnit timeUnit) {
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redisTemplate.opsForValue().set(key, value, timeout, timeUnit);
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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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* @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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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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return redisTemplate.expire(key, timeout, unit);
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}
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/**
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* 模糊匹配key前缀删除
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*/
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public void deleteByPrefix(String prefix) {
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Set<String> keys = redisTemplate.keys(prefix + "*");
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if (!ObjectUtils.isEmpty(keys)) {
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redisTemplate.delete(keys);
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}
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}
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/**
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* 模糊匹配key
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*/
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public List<String> getKeyByPrefix(String prefix) {
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Set<String> keys = redisTemplate.keys(prefix + "*");
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assert keys != null;
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return new ArrayList<>(keys);
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}
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/**
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* 查找匹配key
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*
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* @param pattern key
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* @return /
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*/
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public List<String> scan(String pattern) {
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ScanOptions options = ScanOptions.scanOptions().match(pattern).build();
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RedisConnectionFactory factory = redisTemplate.getConnectionFactory();
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RedisConnection rc = Objects.requireNonNull(factory).getConnection();
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Cursor<byte[]> cursor = rc.scan(options);
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List<String> result = new ArrayList<>();
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while (cursor.hasNext()) {
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result.add(new String(cursor.next()));
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}
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try {
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RedisConnectionUtils.releaseConnection(rc, factory);
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} catch (Exception e) {
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e.printStackTrace();
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}
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return result;
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}
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/**
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* 判断是否有key所对应的值
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*
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* @param key 缓存的键值
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* @return 有则返回true，没有则返回false
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*/
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public Boolean hasKey(String key) {
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return redisTemplate.hasKey(key);
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}
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/**
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* 获得缓存的基本对象。
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*
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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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*/
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public <T> T getCacheObject(final String key) {
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ValueOperations<String, T> operation = redisTemplate.opsForValue();
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return operation.get(key);
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}
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/**
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* 删除单个对象
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*/
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public Boolean deleteObject(final String key) {
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return redisTemplate.delete(key);
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}
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/**
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* 删除集合对象
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*
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* @param collection 多个对象
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*/
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public Long deleteObject(final Collection collection) {
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return redisTemplate.delete(collection);
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}
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/**
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* 缓存List数据
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*
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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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* @return 缓存的对象
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*/
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public <T> long setCacheList(final String key, final List<T> dataList) {
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Long count = redisTemplate.opsForList().rightPushAll(key, dataList);
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return count == null ? 0 : count;
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}
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/**
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* 获得缓存的list对象
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*
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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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*/
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public <T> List<T> getCacheList(final String key) {
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return redisTemplate.opsForList().range(key, 0, -1);
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}
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/**
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* 缓存Set
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*
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* @param key 缓存键值
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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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*/
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public <T> BoundSetOperations<String, T> setCacheSet(final String key, final Set<T> dataSet) {
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BoundSetOperations<String, T> setOperation = redisTemplate.boundSetOps(key);
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for (T t : dataSet) {
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setOperation.add(t);
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}
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return setOperation;
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}
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/**
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* 获得缓存的set
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*/
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public <T> Set<T> getCacheSet(final String key) {
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return redisTemplate.opsForSet().members(key);
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}
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/**
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* 缓存Map
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*/
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public <T> void setCacheMap(final String key, final Map<String, T> dataMap) {
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if (dataMap != null) {
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redisTemplate.opsForHash().putAll(key, dataMap);
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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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*/
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public <T> Map<String, T> getCacheMap(final String key) {
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return redisTemplate.opsForHash().entries(key);
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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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redisTemplate.opsForHash().put(key, hKey, value);
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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, long time) {
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redisTemplate.opsForHash().put(key, hKey, value);
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if (time > 0) {
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expire(key, time);
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}
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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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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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return redisTemplate.opsForHash().multiGet(key, hKeys);
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}
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/**
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* 删除hash表中的值
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*
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* @param key 键 不能为null
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* @param item 项 可以使多个 不能为null
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*/
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public void deleteHashData(String key, Object... item) {
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redisTemplate.opsForHash().delete(key, item);
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}
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/**
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* 获得缓存的基本对象列表
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*
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* @param pattern 字符串前缀
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* @return 对象列表
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*/
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public Collection<String> keys(final String pattern) {
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return redisTemplate.keys(pattern);
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}
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/**
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* 根据 key 获取过期时间
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*
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* @param key 键 不能为null
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* @return 时间(秒) 返回0代表为永久有效
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*/
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public Long getExpire(Object key) {
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return redisTemplate.getExpire(key, TimeUnit.SECONDS);
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}
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/**
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* @param prefix 前缀
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* @param ids id
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*/
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public void delByKeys(String prefix, Set<String> ids) {
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Set<String> keys = new HashSet<>();
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for (String id : ids) {
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keys.addAll(keys(prefix + id));
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}
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long count = deleteObject(keys);
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}
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/**
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* 根据前缀多对象模糊删除
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*/
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public void delByPrefixKeys(String prefix, Set<String> ids) {
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Set<String> keys = new HashSet<>();
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for (String id : ids) {
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keys.addAll(keys(prefix + id));
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}
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keys.parallelStream().forEach(this::deleteByPrefix);
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}
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}
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