redis 几种数据类型往数据库存数据和取数据的帮助类

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());
        }
    }

 切记被缓存的实例化对象必须系列化：

public class Code implements Serializable {}


另外还可以对将要保存的key设置有效时间，超过此有效时间，该key会自动删除失效：

redisTemplate.expire(key, 1, TimeUnit.HOURS);//此处TimeUnit.HOURS设置有效时长的单位为小时