redis增删查改数据Util

目录

• (1)需要导入的包
• (2)redis配置文件
• (3)RedisUtil类

(1)需要导入的包

<dependency>
    <groupId>org.springframework.data</groupId>
    <artifactId>spring-data-redis</artifactId>
    <version>1.5.0.RELEASE</version>
</dependency>

<dependency>
	<groupId>redis.clients</groupId>
	<artifactId>jedis</artifactId>
	<version>2.8.0</version>
</dependency>

(2)redis配置文件

如果是springboot项目，可自己根据实际情况修改成类配置

<?xml version="1.0" encoding="UTF-8"?>
<beans xmlns="http://www.springframework.org/schema/beans"
	xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:context="http://www.springframework.org/schema/context"
	xmlns:p="http://www.springframework.org/schema/p"
	xsi:schemaLocation="http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans.xsd
		http://www.springframework.org/schema/context http://www.springframework.org/schema/context/spring-context.xsd">

	<bean id="jedisPoolConfig" class="redis.clients.jedis.JedisPoolConfig">
		<property name="maxTotal" value="150"></property>
		<property name="maxIdle" value="30"></property>
		<property name="minIdle" value="10"></property>
		<property name="maxWaitMillis" value="15000"></property>
		<property name="minEvictableIdleTimeMillis" value="300000"></property>
		<property name="numTestsPerEvictionRun" value="3"></property>
		<property name="timeBetweenEvictionRunsMillis" value="60000"></property>
		<property name="testOnBorrow" value="true"></property>
		<property name="testOnReturn" value="true"></property>
		<property name="testWhileIdle" value="true"></property>
	</bean>

	<bean id="jedisConnectionFactory" class="org.springframework.data.redis.connection.jedis.JedisConnectionFactory" destroy-method="destroy">
		<property name="hostName" value="127.0.0.1" />
		 <property name="port" value="6379" />
		<property name="timeout" value="15000" />
		<property name="database" value="0" />
		<property name="password" value="" />
		<property name="usePool" value="true" />
		<property name="poolConfig" ref="jedisPoolConfig" />
	</bean>

	<!-- redis template definition p表示对该bean里面的属性进行注入，格式为p:属性名=注入的对象 效果与在bean里面使用<property>标签一样 -->
	<bean id="redisTemplate" class="org.springframework.data.redis.core.RedisTemplate"
		p:connection-factory-ref="jedisConnectionFactory">
		<!-- 序列化方式 建议key/hashKey采用StringRedisSerializer。 -->
		<property name="keySerializer">
			<bean class="org.springframework.data.redis.serializer.StringRedisSerializer" />
		</property>
		<property name="hashKeySerializer">
			<bean class="org.springframework.data.redis.serializer.StringRedisSerializer" />
		</property>
		<property name="valueSerializer">
			<bean class="org.springframework.data.redis.serializer.JdkSerializationRedisSerializer" />
		</property>
		<property name="hashValueSerializer">
			<bean class="org.springframework.data.redis.serializer.JdkSerializationRedisSerializer" />
		</property>
	</bean>

</beans>

(3)RedisUtil类

import java.io.Serializable;
import java.util.HashSet;
import java.util.Iterator;
import java.util.List;
import java.util.Map;
import java.util.Set;
import java.util.concurrent.TimeUnit;

import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Qualifier;
import org.springframework.dao.DataAccessException;
import org.springframework.data.redis.connection.RedisConnection;
import org.springframework.data.redis.core.BoundSetOperations;
import org.springframework.data.redis.core.HashOperations;
import org.springframework.data.redis.core.ListOperations;
import org.springframework.data.redis.core.RedisCallback;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.core.ValueOperations;
import org.springframework.data.redis.serializer.RedisSerializer;
import org.springframework.stereotype.Service;

@Service
public class RedisUtil
{

    @Autowired
    @Qualifier("redisTemplate")
    public RedisTemplate<String, Object> redisTemplate;

    @Autowired
    @Qualifier("redisTemplate")
    protected RedisTemplate<Serializable, Serializable> redisTemplateSerializable;

    /**
     * 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 void setCacheObject(String key, Object value)
    {
        redisTemplate.opsForValue().set(key,value);

    }

    public void removeCacheObject(String key){

        redisTemplate.delete(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 Object getCacheObject(String key/*,ValueOperations<String,T> operation*/)
    {
        return redisTemplate.opsForValue().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 Object setCacheList(String key, List<Object> dataList)
    {
        ListOperations<String, Object> listOperation = redisTemplate.opsForList();
        if(null != dataList)
        {
            int size = dataList.size();
            for(int i = 0; i < size ; i ++)
            {
                listOperation.rightPush(key,dataList.get(i));
            }
        }
//        redisTemplate.delete(key);
//        listOperation.rightPushAll(key, dataList);
        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 List<Object> getCacheList(String key) {//        List<Object> dataList = new ArrayList<Object>();
        ListOperations<String, Object> listOperation = redisTemplate.opsForList();
        List<Object> dataList = listOperation.range(key, 0, -1);
        /*Long size = listOperation.size(key);
        for(int i = 0 ; i < size ; i ++) {
            dataList.add(listOperation.leftPop(key));
        }*/
        return dataList;
    }

    /**
     * 根据多个key获取多个值
     * @param keySet
     * @return
     */
    public List<Object> getCacheValueByKeySet(Set<String> keySet) {
        ValueOperations<String, Object> valueOperation = redisTemplate.opsForValue();
        List<Object> dataObject = valueOperation.multiGet(keySet);
        return dataObject;
    }

    public List<Object> pipelineGetCacheValueByKeySet(final Set<String> keySet){
        //pipeline
        RedisCallback<List<Object>> pipelineCallback = new RedisCallback<List<Object>>() {
            @Override
            public List<Object> doInRedis(RedisConnection connection) throws DataAccessException {
                connection.openPipeline();
                for (String key : keySet) {
                    connection.incr(key.getBytes());
                }
                return connection.closePipeline();
            }
        };
        List<Object> results = (List<Object>)redisTemplate.execute(pipelineCallback);
        return results;
    }

    /**
     * 获得缓存的list对象
     * @Title: range
     * @Description: TODO(这里用一句话描述这个方法的作用)
     * @param @param key
     * @param @param start
     * @param @param end
     * @param @return
     * @return List<T>    返回类型
     * @throws
     */
    public List<Object> range(String key, long start, long end)
    {
        ListOperations<String, Object> listOperation = redisTemplate.opsForList();
        return listOperation.range(key, start, end);
    }

    /**
     * list集合长度
     * @param key
     * @return
     */
    public Long listSize(String key) {
        return redisTemplate.opsForList().size(key);
    }

    /**
     * 覆盖操作,将覆盖List中指定位置的值
     * @param key
     * @param  index 位置
     * @param obj 值
     * @return 状态码
     * */
    public void listSet(String key, int index, Object obj) {
        redisTemplate.opsForList().set(key, index, obj);
    }

    /**
     * 向List尾部追加记录
     *
     * @param key
     * @param obj
     * @return 记录总数
     * */
    public long leftPush(String key, Object obj) {
        return redisTemplate.opsForList().leftPush(key, obj);
    }

    /**
     * 向List头部追加记录
     *
     * @param   key
     * @param obj
     * @return 记录总数
     * */
    public long rightPush(String key, Object obj) {
        return redisTemplate.opsForList().rightPush(key, obj);
    }

    /**
     * 算是删除吧，只保留start与end之间的记录
     *
     * @param   key
     * @param  start 记录的开始位置(0表示第一条记录)
     * @param   end 记录的结束位置（如果为-1则表示最后一个，-2，-3以此类推）
     * @return 执行状态码
     * */
    public void trim(String key, int start, int end) {
        redisTemplate.opsForList().trim(key, start, end);
    }

    /**
     * 删除List中c条记录，被删除的记录值为value
     *
     * @param    key
     * @param i  要删除的数量，如果为负数则从List的尾部检查并删除符合的记录
     * @param obj 要匹配的值
     * @return 删除后的List中的记录数
     * */
    public long remove(String key, long i, Object obj) {
        return redisTemplate.opsForList().remove(key, i, obj);
    }

    /**
     * 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 BoundSetOperations<String, Object> setCacheSet(String key,Set<Object> dataSet)
    {
        BoundSetOperations<String, Object> setOperation = redisTemplate.boundSetOps(key);
        /*T[] t = (T[]) dataSet.toArray();
             setOperation.add(t);*/

        Iterator<Object> it = dataSet.iterator();
        while(it.hasNext())
        {
            setOperation.add(it.next());
        }
        return setOperation;
    }

    /**
     * 获得缓存的set
     * @param key
     * @return
     */
    public Set<Object> getCacheSet(String key/*,BoundSetOperations<String,T> operation*/)
    {
        Set<Object> dataSet = new HashSet<Object>();
        BoundSetOperations<String,Object> 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 int setCacheMap(String key,Map<Object, Object> dataMap)
    {
        if(null != dataMap)
        {
            HashOperations<String, Object, Object> hashOperations = redisTemplate.opsForHash();
            hashOperations.putAll(key,dataMap);
//            for (Map.Entry<Object, Object> entry : dataMap.entrySet()) {
//                /*System.out.println("Key = " + entry.getKey() + ", Value = " + entry.getValue());  */
//                if(hashOperations != null){
//                    hashOperations.put(key,entry.getKey(),entry.getValue());
//                } else{
//                    return 0;
//                }
//            }
        } else{
            return 0;
        }
        return dataMap.size();
    }

    /**
     * 删除缓存Map
     * @param key
     * @param dataMap
     * @return
     */
    public void removeCacheMap(String key, Map<Object, Object> dataMap) {
        if (null != dataMap) {
            HashOperations<String, Object, Object> hashOperations = redisTemplate.opsForHash();
            for (Map.Entry<Object, Object> entry : dataMap.entrySet()) {
                hashOperations.delete(key, entry.getKey(), entry.getValue());
            }
        }
    }

    /**
     * 获得缓存的Map
     * @param key
     * @return
     */
    public Map<Object, Object> getCacheMap(String key/*,HashOperations<String,String,T> hashOperation*/)
    {
        Map<Object, Object> map = redisTemplate.opsForHash().entries(key);
        /*Map<String, T> map = hashOperation.entries(key);*/
        return map;
    }

    /**
     * 缓存Map
     * @param key
     * @param dataMap
     * @return
     */
    public void setCacheIntegerMap(String key,Map<Integer, Object> dataMap)
    {
        HashOperations<String, Object, Object> hashOperations = redisTemplate.opsForHash();
        if(null != dataMap)
        {
            for (Map.Entry<Integer, Object> entry : dataMap.entrySet()) {
                /*System.out.println("Key = " + entry.getKey() + ", Value = " + entry.getValue());  */
                hashOperations.put(key,entry.getKey(),entry.getValue());
            }

        }
    }

    /**
     * 获得缓存的Map
     * @param key
     * @return
     */
    public Map<Object, Object> getCacheIntegerMap(String key/*,HashOperations<String,String,T> hashOperation*/)
    {
        Map<Object, Object> map = redisTemplate.opsForHash().entries(key);
        /*Map<String, T> map = hashOperation.entries(key);*/
        return map;
    }

    /**
     * 从hash中删除指定的存储
     *
     * @return 状态码，1成功，0失败
     * */
    public void deleteMap(String key) {
        redisTemplate.setEnableTransactionSupport(true);
        redisTemplate.opsForHash().delete(key);
    }

    /**
     * 设置过期时间
     * @param key
     * @param time
     * @param unit
     * @return
     */
    public boolean expire(String key, long time, TimeUnit unit) {
        return redisTemplate.expire(key, time, unit);
    }

    /**
     * 获取过期时间
     * @param key
     * @param unint
     * @return
     */
    public Long getExpire(String key,TimeUnit unint) {
        return redisTemplate.getExpire(key, unint);
    }

    /**
     * increment
     * @param key
     * @param step
     * @return
     */
    public long increment(String key, long step) {
        return redisTemplate.opsForValue().increment(key, step);
    }

    /**
     * 判断是否存在key
     * @param key
     * @return
     */
    public boolean hasKey(String key){
        return redisTemplate.hasKey(key);
    }

    /**
     *
     * @param map
     */
    public void batchSetObject(final Map<String, Object> map){
        redisTemplate.executePipelined(new RedisCallback() {

            @Override
            public Object doInRedis(RedisConnection connection)
                    throws DataAccessException {
                for(String key : map.keySet()){
                    byte[] rawKey 	= serialize(key, redisTemplate.getKeySerializer());
                    byte[] rawValue	= serialize(map.get(key), redisTemplate.getValueSerializer());
                    connection.set(rawKey, rawValue);
                }
                return null;
            }
        });
    }

    /**
     * 删除redis的所有数据
     */
    @SuppressWarnings({"unchecked", "rawtypes"})
    public String flushDB() {
        return redisTemplateSerializable.execute(new RedisCallback() {
            public String doInRedis(RedisConnection connection) throws DataAccessException {
                connection.flushDb();
                return "ok";
            }
        });
    }

    /**
     * 删除redis的一条数据
     */
    public long del(final byte[] key) {
        return (long) redisTemplateSerializable.execute(new RedisCallback<Object>() {
            public Long doInRedis(RedisConnection connection) {
                return connection.del(key);
            }
        });
    }

    @SuppressWarnings({"unchecked", "rawtypes"})
    public byte[] get(final byte[] key) {
        return (byte[]) redisTemplateSerializable.execute(new RedisCallback() {
            public byte[] doInRedis(RedisConnection connection) throws DataAccessException {
                return connection.get(key);
            }
        });
    }

    /**
     * @param key
     * @param value
     * @param liveTime
     */
    public void set(final byte[] key, final byte[] value, final long liveTime) {
        redisTemplateSerializable.execute(new RedisCallback<Object>() {
            public Long doInRedis(RedisConnection connection) throws DataAccessException {
                connection.set(key, value);
                if (liveTime > 0) {
                    connection.expire(key, liveTime);
                }
                return 1L;
            }
        });
    }

    /**
     * 发布信息
     * @param channel
     * @param value
     */
    public void convertAndSend(String channel, String value){
        redisTemplate.convertAndSend(channel,value);
    }

    @SuppressWarnings("unchecked")
    private byte[] serialize(Object value, RedisSerializer serializer) {
        if (serializer == null && value instanceof byte[]) {
            return (byte[]) value;
        }
        return serializer.serialize(value);
    }
}