package com.fndsoft.bcis.utils; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.data.redis.core.*; import org.springframework.stereotype.Service; import java.util.*; /** * redis缓存帮助类 * Created by DELL on 2016/5/23. */ @Service public class RedisCacheUtil<T> { @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 * @return 缓存的对象 */ public <T> ValueOperations<String, T> setCacheObject(String key, T value) { ValueOperations<String, T> operation = redisTemplate.opsForValue(); operation.set(key, value); return operation; } /** * 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(String key) { ValueOperations<String, T> operation = redisTemplate.opsForValue(); return operation.get(key); } /** * 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> ListOperations<String, T> setCacheList(String key, 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; } /** * 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(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; } /** * 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(String key, Set<T> dataSet) { BoundSetOperations<String, T> setOperation = redisTemplate.boundSetOps(key); Iterator<T> it = dataSet.iterator(); while (it.hasNext()) { setOperation.add(it.next()); } return setOperation; } /** * 获得缓存的set * * @param key * @return */ public Set<T> getCacheSet(String key) { Set<T> dataSet = new HashSet<T>(); BoundSetOperations<String, T> operation = redisTemplate.boundSetOps(key); Long size = operation.size(); for (int i = 0; i < size; i++) { dataSet.add(operation.pop()); } return dataSet; } /** * 缓存Map * * @param key * @param dataMap * @return */ public <T> HashOperations<String, String, T> setCacheMap(String key, 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()); } } return hashOperations; } /** * 获得缓存的Map * * @param key * @return */ public <T> Map<String, T> getCacheMap(String key) { Map<String, T> map = redisTemplate.opsForHash().entries(key); return map; } /** * 缓存Map * * @param key * @param dataMap * @return */ public <T> HashOperations<String, Integer, T> setCacheIntegerMap(String key, Map<Integer, T> dataMap) { HashOperations hashOperations = redisTemplate.opsForHash(); if (null != dataMap) { for (Map.Entry<Integer, T> entry : dataMap.entrySet()) { hashOperations.put(key, entry.getKey(), entry.getValue()); } } return hashOperations; } /** * 获得缓存的Map * * @param key * @return */ public <T> Map<Integer, T> getCacheIntegerMap(String key) { Map<Integer, T> map = redisTemplate.opsForHash().entries(key); return map; } }
以下是存储list对象的测试方法:
/** * redis缓存list对象 */ @Test public void setCatchValueForList() { String key = "user_Test7"; List<Code> codeList = new ArrayList<>(); Code code1 = new Code("436436", 533); Code code2 = new Code("214214", 53453); codeList.add(code1); codeList.add(code2); redisCacheUtil.setCacheList(key, codeList); System.out.println("保存数据成功!"); } @Test public void getValueForList() { String key = "user_Test7"; List<Code> codeList = redisCacheUtil.getCacheList(key); for (Code code : codeList) { System.out.println(code.getName() + " " + code.getAge()); } }
时间: 2024-10-14 20:36:13