redis 幾種數據類型往數據庫存數據和取數據的幫助類

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緩存幫助類
 * Created by DELL on 2016/5/23.
 */
@Service
public class RedisCacheUtil<T> {

    @Autowired
    public RedisTemplate redisTemplate;

    /**
     * 緩存基本的對象，Integer、String、實體類等
     *
     * @param key   緩存的鍵值
     * @param value 緩存的值
     * @return 緩存的對象
     */
    public <T> ValueOperations<String, T> setCacheObject(String key, T value) {
        ValueOperations<String, T> operation = redisTemplate.opsForValue();
        operation.set(key, value);
        return operation;
    }

    /**
     * 獲得緩存的基本對象。
     *
     * @param key 緩存鍵值
     * @return 緩存鍵值對應的數據
     */
    public <T> T getCacheObject(String key) {
        ValueOperations<String, T> operation = redisTemplate.opsForValue();
        return operation.get(key);
    }

    /**
     * 緩存List數據
     *
     * @param key      緩存的鍵值
     * @param dataList 待緩存的List數據
     * @return 緩存的對象
     */
    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;
    }

    /**
     * 獲得緩存的list對象
     *
     * @param key 緩存的鍵值
     * @return 緩存鍵值對應的數據
     */
    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;
    }

    /**
     * 緩存Set
     *
     * @param key     緩存鍵值
     * @param dataSet 緩存的數據
     * @return 緩存數據的對象
     */
    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;
    }

    /**
     * 獲得緩存的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;
    }

    /**
     * 緩存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;
    }

    /**
     * 獲得緩存的Map
     *
     * @param key
     * @return
     */
    public <T> Map<String, T> getCacheMap(String key) {
        Map<String, T> map = redisTemplate.opsForHash().entries(key);
        return map;
    }


    /**
     * 緩存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;
    }

    /**
     * 獲得緩存的Map
     *
     * @param key
     * @return
     */
    public <T> Map<Integer, T> getCacheIntegerMap(String key) {
        Map<Integer, T> map = redisTemplate.opsForHash().entries(key);
        return map;
    }
}

以下是存儲list對象的測試方法：

 /**
     * redis緩存list對象
     */
    @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("保存數據成功！");
    }

    @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());
        }
    }

 切記被緩存的實例化對象必須系列化：

public class Code implements Serializable {}


另外還可以對將要保存的key設置有效時間，超過此有效時間，該key會自動刪除失效：

redisTemplate.expire(key, 1, TimeUnit.HOURS);//此處TimeUnit.HOURS設置有效時長的單位為小時