首先在pom文件中加入redis依赖

<!--redis依赖-->
<dependency>
    <groupId>org.springframework.boot</groupId>
    <artifactId>spring-boot-starter-data-redis</artifactId>
</dependency>
<dependency>
    <groupId>redis.clients</groupId>
    <artifactId>jedis</artifactId>
    <version>3.0.1</version>
</dependency>
在application-dev.yml文件中配置redis属性

springboot3 redis springboot3 redis配置_spring

 

 然后在springboot项目中配置redis实体类

import com.fasterxml.jackson.annotation.JsonAutoDetect;
import com.fasterxml.jackson.annotation.PropertyAccessor;
import com.fasterxml.jackson.databind.ObjectMapper;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.cache.annotation.CachingConfigurerSupport;
import org.springframework.cache.annotation.EnableCaching;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.redis.connection.RedisConnectionFactory;
import org.springframework.data.redis.connection.jedis.JedisConnectionFactory;
import org.springframework.data.redis.core.*;
import org.springframework.data.redis.serializer.Jackson2JsonRedisSerializer;
import org.springframework.data.redis.serializer.StringRedisSerializer;
import redis.clients.jedis.JedisPoolConfig;

@Configuration
@EnableCaching
public class RedisConfig extends CachingConfigurerSupport {

    @Value("${spring.redis.host}")
    private String host;
    @Value("${spring.redis.port}")
    private Integer port;
    @Value("${spring.redis.password}")
    private String password;
    @Value("${spring.redis.timeout}")
    private Integer timout;
    @Value("${spring.redis.jedis.pool.max-idle}")
    private Integer maxIdl;//链接池最大空闲数
    @Value("${spring.redis.jedis.pool.min-idle}")
    private Integer minIdl;//链接池最小空闲数
    @Value("${spring.redis.jedis.pool.max-active}")
    private Integer maxActive;//链接池最大链接数
    @Value("${spring.redis.jedis.pool.max-wait}")
    private Integer maxWait;//连接池最大阻塞时间
    @Value("${spring.redis.database}")
    private Integer database;//redis数据库索引数

    @Bean
    public RedisConnectionFactory getfactory(){
        JedisPoolConfig config=new JedisPoolConfig();
        config.setMaxIdle(maxIdl);
        config.setMinIdle(minIdl);
        config.setMaxWaitMillis(maxWait);
        config.setMaxTotal(maxActive);
        //获取链接检查有效性
        config.setTestOnBorrow(false);
        //部署时为true
//        config.setTestOnCreate(false);
        //返回验证信息
        config.setTestOnReturn(false);
        //链接最近是否阻塞
        config.setBlockWhenExhausted(true);
        JedisConnectionFactory jedisConnectionFactory=new JedisConnectionFactory(config);
        jedisConnectionFactory.setHostName(host);
        jedisConnectionFactory.setPort(port);
        jedisConnectionFactory.setDatabase(database);
        if(!password.isEmpty()){
            jedisConnectionFactory.setPassword(password);
        }
        jedisConnectionFactory.setTimeout(timout);
        return jedisConnectionFactory;
    }


    @Bean
    public RedisTemplate<String,Object> redisTemplate(){

        RedisTemplate<String,Object> redisTemplate=new RedisTemplate<>();
        //配置链接工厂
        redisTemplate.setConnectionFactory(getfactory());
        //使用Jackson2JsonRedisSerializer来序列化和反序列化redis的value值(默认使用JDK的序列化方式)
        Jackson2JsonRedisSerializer jsonRedisSerializer=new Jackson2JsonRedisSerializer(Object.class);

        ObjectMapper om=new ObjectMapper();
        // 指定要序列化的域,field,get和set,以及修饰符范围,ANY是都有包括private和public
        om.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);
        // 指定序列化输入的类型,类必须是非final修饰的,final修饰的类,比如String,Integer等会跑出异常
        om.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL);
        jsonRedisSerializer.setObjectMapper(om);
        //值采用json系列化
        redisTemplate.setValueSerializer(jsonRedisSerializer);
        //使用StringRedisSerializer来序列化和反序列化redis的key值
        redisTemplate.setKeySerializer(new StringRedisSerializer());

        //设置hash key和value的序列化模式
        redisTemplate.setHashKeySerializer(new StringRedisSerializer());
        redisTemplate.setHashValueSerializer(jsonRedisSerializer);
        redisTemplate.afterPropertiesSet();
        return redisTemplate;
    }

    /**
     * 对hash类型的数据操作
     * @param redisTemplate
     * @return
     */
    @Bean
    public HashOperations<String,String,Object> hashOperations(RedisTemplate<String,Object> redisTemplate){
           return redisTemplate.opsForHash();
    }


    /**
     * 对redis字符串类型的操作
     * @param redisTemplate
     * @return
     */
    @Bean
    public ValueOperations<String,Object> valueOperations(RedisTemplate<String,Object> redisTemplate){
            return redisTemplate.opsForValue();
    }

    /**
     * 对链表类型的操作
     * @param redisTemplate
     * @return
     */
    @Bean
    public ListOperations<String,Object> listOperations(RedisTemplate<String,Object> redisTemplate){
            return redisTemplate.opsForList();
    }

    /**
     * 对redis无序集合类型的数据操作
     * @param redisTemplate
     * @return
     */
    @Bean
    public SetOperations<String,Object> setOperations(RedisTemplate<String,Object> redisTemplate){
            return redisTemplate.opsForSet();
    }

    /**
     * 对redis有序集合类型的数据操作
     * @param redisTemplate
     * @return
     */
    public ZSetOperations<String,Object> zSetOperations(RedisTemplate<String,Object> redisTemplate){
            return redisTemplate.opsForZSet();
    }
}



创建redisUitls工具类
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.BoundListOperations;
import org.springframework.data.redis.core.RedisConnectionUtils;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.stereotype.Component;

import java.util.List;
import java.util.Map;
import java.util.Set;
import java.util.concurrent.TimeUnit;

@Component
public class RedisUtil {

    @Autowired
    private RedisTemplate<String,Object> redisTemplate;

    public RedisUtil(RedisTemplate<String,Object> redisTemplate) {
        this.redisTemplate=redisTemplate;
    }

    //释放连接池资源
    public void backRedis(){
        RedisConnectionUtils.unbindConnection(redisTemplate.getConnectionFactory());
    }

    /**
     * 指定缓存失效时间
     * @param key 键
     * @param time 时间(秒)
     * @return
     */
    public boolean expire(String key,long time){
        try {
            if(time>0){
                redisTemplate.expire(key,time, TimeUnit.SECONDS);
            }
            return true;
        } catch (Exception e) {
            e.printStackTrace();
            return false;
        }finally{
            backRedis();//释放连接资源

        }
    }

    /**
     * 根据key 获取过期时间
     * @param key 键 不能为null
     * @return 时间(秒) 返回0代表为永久有效
     */
    public long getExpire(String key){
        try {
            return redisTemplate.getExpire(key,TimeUnit.SECONDS);
        } catch (Exception e) {
            e.printStackTrace();
            return 0;
        }finally{
            backRedis();//释放连接资源
        }
    }

    /**
     * 判断key是否存在
     * @param key 键
     * @return true 存在 false不存在
     */
    public boolean hasKey(String key){
        try {
            return redisTemplate.hasKey(key);
        } catch (Exception e) {
            e.printStackTrace();
            return false;
        }finally{
            backRedis();//释放连接资源
        }
    }

    /**
     * 删除一个缓存
     * @param key 可以传一个值
     */
    public void delOne(String key){

        try {
            redisTemplate.delete(key);
        } catch (Exception e) {
            e.printStackTrace();
        }finally{
            backRedis();//释放连接资源
        }
    }

    /**
     * 删除多个缓存
     * @param keys
     */
    public void delKeys(List<String> keys){

        try {
            redisTemplate.delete(keys);
        } catch (Exception e) {
            e.printStackTrace();
        }finally{
            backRedis();//释放连接资源
        }
    }

    //***************** String **********************

    /**
     * 普通缓存获取
     * @param key 键
     * @return 值
     */
    public Object get(String key){

        try {
            return key==null?null:redisTemplate.opsForValue().get(key);
        } catch (Exception e) {
            e.printStackTrace();
            return null;
        }finally{
            backRedis();//释放连接资源
        }
    }

    /**
     * 普通缓存放入
     * @param key 键
     * @param value 值
     * @return true成功 false失败
     */
    public boolean set(String key,Object value) {
        try {
            redisTemplate.opsForValue().set(key, value);
            return true;
        } catch (Exception e) {
            e.printStackTrace();
            return false;
        }finally{
            backRedis();//释放连接资源
        }
    }

    /**
     * 普通缓存放入并设置时间
     * @param key 键
     * @param value 值
     * @param time 时间(秒) time要大于0 如果time小于等于0 将设置无限期
     * @return true成功 false 失败
     */
    public boolean set(String key,Object value,long time){
        try {
            if(time>0){
                redisTemplate.opsForValue().set(key, value, time, TimeUnit.SECONDS);
            }else{
                set(key, value);
            }
            return true;
        } catch (Exception e) {
            e.printStackTrace();
            return false;
        }finally{
            backRedis();
        }
    }


    /**
     * 递增
     * @param key 键
     * @param delta 要增加几(大于0)
     * @return
     */
    public long incr(String key, long delta){
        if(delta<0){
            throw new RuntimeException("递增因子必须大于0");
        }
        try {
            return redisTemplate.opsForValue().increment(key, delta);
        } catch (Exception e) {
            e.printStackTrace();
            return 0;
        }finally{
            backRedis();//释放连接资源
        }
    }

    /**
     * 递减
     * @param key 键
     * @param delta 要减少几(小于0)
     * @return
     */
    public long decr(String key, long delta){
        if(delta<0){
            throw new RuntimeException("递减因子必须大于0");
        }
        try {
            return redisTemplate.opsForValue().increment(key, -delta);
        } catch (Exception e) {
            e.printStackTrace();
            return 0;
        }finally{
            backRedis();//释放连接资源
        }
    }

    //============================== Hash ===============================

    /**
     * HashGet
     * @param key 键 不能为null
     * @param item 项 不能为null
     * @return 值
     */
    public Object hGet(String key,String item){
//        return redisTemplate.opsForHash().get(key, item);
        try {
            return redisTemplate.opsForHash().get(key, item);
        } catch (Exception e) {
            e.printStackTrace();
            return null;
        }finally{
            backRedis();//释放连接资源
        }
    }

    /**
     * 获取hashKey对应的所有键值
     * @param key 键
     * @return 对应的多个键值
     */
    public Map<Object,Object> hmGet(String key){
//        return redisTemplate.opsForHash().entries(key);
        try {
            return redisTemplate.opsForHash().entries(key);
        } catch (Exception e) {
            e.printStackTrace();
            return null;
        }finally{
            backRedis();//释放连接资源
        }
    }

    /**
     * HashSet
     * @param key 键
     * @param map 对应多个键值
     * @return true 成功 false 失败
     */
    public boolean hMapSet(String key, Map<String,Object> map){
        try {
            redisTemplate.opsForHash().putAll(key, map);
            return true;
        } catch (Exception e) {
            e.printStackTrace();
            return false;
        }finally{
            backRedis();
        }
    }

    /**
     * HashSet 并设置时间
     * @param key 键
     * @param map 对应多个键值
     * @param time 时间(秒)
     * @return true成功 false失败
     */
    public boolean hmSetTime(String key, Map<String,Object> map, long time){
        try {
            redisTemplate.opsForHash().putAll(key, map);
            if(time>0){
                expire(key, time);
            }
            return true;
        } catch (Exception e) {
            e.printStackTrace();
            return false;
        }finally{
            backRedis();
        }
    }

    /**
     * 向一张hash表中放入数据,如果不存在将创建
     * @param key 键
     * @param item 项
     * @param value 值
     * @return true 成功 false失败
     */
    public boolean hSave(String key,String item,Object value) {
        try {
            redisTemplate.opsForHash().put(key, item, value);
            return true;
        } catch (Exception e) {
            e.printStackTrace();
            return false;
        }finally{
            backRedis();
        }
    }

    /**
     * 向一张hash表中放入数据,如果不存在将创建
     * @param key 键
     * @param item 项
     * @param value 值
     * @param time 时间(秒)  注意:如果已存在的hash表有时间,这里将会替换原有的时间
     * @return true 成功 false失败
     */
    public boolean hSaveTime(String key,String item,Object value,long time) {
        try {
            redisTemplate.opsForHash().put(key, item, value);
            if(time>0){
                expire(key, time);
            }
            return true;
        } catch (Exception e) {
            e.printStackTrace();
            return false;
        }finally{
            backRedis();
        }
    }

    /**
     * 删除hash表中的值
     * @param key 键 不能为null
     * @param item 项 可以使多个 不能为null
     */
    public void hDel(String key, Object item){
//        redisTemplate.opsForHash().delete(key,item);
        try {
            redisTemplate.opsForHash().delete(key,item);
        } catch (Exception e) {
            e.printStackTrace();
        }finally{
            backRedis();
        }
    }

    /**
     * 判断hash表中是否有该项的值
     * @param key 键 不能为null
     * @param item 项 不能为null
     * @return true 存在 false不存在
     */
    public boolean hHasKey(String key, String item){
//        return redisTemplate.opsForHash().hasKey(key, item);
        try {
            return redisTemplate.opsForHash().hasKey(key, item);
        } catch (Exception e) {
            e.printStackTrace();
            return false;
        }finally{
            backRedis();
        }
    }

    /**
     * hash递增 如果不存在,就会创建一个 并把新增后的值返回
     * @param key 键
     * @param item 项
     * @param by 要增加几(大于0)
     * @return
     */
    public double hIncr(String key, String item,double by){
//        return redisTemplate.opsForHash().increment(key, item, by);
        try {
            return redisTemplate.opsForHash().increment(key, item, by);
        } catch (Exception e) {
            e.printStackTrace();
            return 0;
        }finally{
            backRedis();
        }
    }

    /**
     * hash递减
     * @param key 键
     * @param item 项
     * @param by 要减少记(小于0)
     * @return
     */
    public double hDecr(String key, String item,double by){
//        return redisTemplate.opsForHash().increment(key, item,-by);
        try {
            return redisTemplate.opsForHash().increment(key, item,-by);
        } catch (Exception e) {
            e.printStackTrace();
            return 0;
        }finally{
            backRedis();
        }
    }

    //=========================== set ============================

    /**
     * 根据key获取Set中的所有值
     * @param key 键
     * @return
     */
    public Set<Object> sGet(String key){
        try {
            return redisTemplate.opsForSet().members(key);
        } catch (Exception e) {
            e.printStackTrace();
            return null;
        }finally{
            backRedis();
        }
    }

    /**
     * 根据value从一个set中查询,是否存在
     * @param key 键
     * @param value 值
     * @return true 存在 false不存在
     */
    public boolean sHasKey(String key,Object value){
        try {
            return redisTemplate.opsForSet().isMember(key, value);
        } catch (Exception e) {
            e.printStackTrace();
            return false;
        }finally{
            backRedis();
        }
    }

    /**
     * 将数据放入set缓存
     * @param key 键
     * @param values 值 可以是多个
     * @return 成功个数
     */
    public long sSet(String key, Object values) {
        try {
            return redisTemplate.opsForSet().add(key, values);
        } catch (Exception e) {
            e.printStackTrace();
            return 0;
        }finally{
            backRedis();
        }
    }

    /**
     * 将set数据放入缓存
     * @param key 键
     * @param time 时间(秒)
     * @param values 值 可以是多个
     * @return 成功个数
     */
    public long sSetAndTime(String key,long time,Object values) {
        try {
            Long count = redisTemplate.opsForSet().add(key, values);
            if(time>0) {
                expire(key, time);
            }
            return count;
        } catch (Exception e) {
            e.printStackTrace();
            return 0;
        }finally{
            backRedis();
        }
    }

    /**
     * 获取set缓存的长度
     * @param key 键
     * @return
     */
    public long sGetSetSize(String key){
        try {
            return redisTemplate.opsForSet().size(key);
        } catch (Exception e) {
            e.printStackTrace();
            return 0;
        }finally{
            backRedis();
        }
    }

    /**
     * 移除值为value的
     * @param key 键
     * @param values 值 可以是多个
     * @return 移除的个数
     */
    public long setRemove(String key, Object values) {
        try {
            Long count = redisTemplate.opsForSet().remove(key, values);
            return count;
        } catch (Exception e) {
            e.printStackTrace();
            return 0;
        }finally{
            backRedis();
        }
    }
    //===============================list=================================

    /**
     * 获取list缓存的内容
     * @param key 键
     * @param start 开始
     * @param end 结束  0 到 -1代表所有值
     * @return
     */
    public List<Object> lGet(String key, long start, long end){
        try {
            return redisTemplate.opsForList().range(key, start, end);
        } catch (Exception e) {
            e.printStackTrace();
            return null;
        }finally{
            backRedis();
        }
    }

    /**
     * 获取list缓存的长度
     * @param key 键
     * @return
     */
    public long lGetListSize(String key){
        try {
            return redisTemplate.opsForList().size(key);
        } catch (Exception e) {
            e.printStackTrace();
            return 0;
        }finally{
            backRedis();
        }
    }

    /**
     * 通过索引 获取list中的值
     * @param key 键
     * @param index 索引  index>=0时, 0 表头,1 第二个元素,依次类推;index<0时,-1,表尾,-2倒数第二个元素,依次类推
     * @return
     */
    public Object lGetIndex(String key,long index){
        try {
            return redisTemplate.opsForList().index(key, index);
        } catch (Exception e) {
            e.printStackTrace();
            return null;
        }finally{
            backRedis();
        }
    }

    /**
     * 将list放入缓存
     * @param key 键
     * @param value 值
     * @return
     */
    public boolean lpush(String key, Object value) {
        try {
            redisTemplate.opsForList().rightPush(key, value);
            return true;
        } catch (Exception e) {
            e.printStackTrace();
            return false;
        }finally{
            backRedis();
        }
    }

    /**
     * 将list放入缓存
     * @param key 键
     * @param value 值
     * @param time 时间(秒)
     * @return
     */
    public boolean lpushTime(String key, Object value, long time) {
        try {
            redisTemplate.opsForList().rightPush(key, value);
            if (time > 0) {
                expire(key, time);
            }
            return true;
        } catch (Exception e) {
            e.printStackTrace();
            return false;
        }finally{
            backRedis();
        }
    }

    /**
     * 将list放入缓存
     * @param key 键
     * @param value 值
     * @return
     */
    public boolean lpushAll(String key, List value) {
        try {
            redisTemplate.opsForList().rightPushAll(key, value);
            return true;
        } catch (Exception e) {
            e.printStackTrace();
            return false;
        }finally{
            backRedis();
        }
    }

    /**
     * 将list放入缓存
     * @param key 键
     * @param value 值
     * @param time 时间(秒)
     * @return
     */
    public boolean lpushAllTime(String key, List<Object> value, long time) {
        try {
            redisTemplate.opsForList().rightPushAll(key, value);
            if (time > 0) {
                expire(key, time);
            }
            return true;
        } catch (Exception e) {
            e.printStackTrace();
            return false;
        }finally{
            backRedis();
        }
    }

    /**
     * 根据索引修改list中的某条数据
     * @param key 键
     * @param index 索引
     * @param value 值
     * @return
     */
    public boolean lUpdateIndex(String key, long index,Object value) {
        try {
            redisTemplate.opsForList().set(key, index, value);
            return true;
        } catch (Exception e) {
            e.printStackTrace();
            return false;
        }finally{
            backRedis();
        }
    }

    /**
     * 移除N个值为value
     * @param key 键
     * @param count 移除多少个
     * @param value 值
     * @return 移除的个数
     */
    public long lRemove(String key,long count,Object value) {
        try {
            Long remove = redisTemplate.opsForList().remove(key, count, value);
            return remove;
        } catch (Exception e) {
            e.printStackTrace();
            return 0;
        }finally{
            backRedis();
        }
    }

    /**
     * 模糊查询获取key值
     * @param pattern
     * @return
     */
    public Set keys(String pattern){
//        return redisTemplate.keys(pattern);
        try {
            return redisTemplate.keys(pattern);
        } catch (Exception e) {
            e.printStackTrace();
            return null;
        }finally{
            backRedis();
        }
    }

    /**
     * 使用Redis的消息队列
     * @param channel
     * @param message 消息内容
     */
    public void convertAndSend(String channel, Object message){
//        redisTemplate.convertAndSend(channel,message);
        try {
            redisTemplate.convertAndSend(channel,message);
        } catch (Exception e) {
            e.printStackTrace();
        }finally{
            backRedis();
        }
    }

    //=========BoundListOperations 用法 start============

    /**
     *将数据添加到Redis的list中(从右边添加)
     * @param listKey
     * @param values 待添加的数据
     */
    public void addToListRight(String listKey,Object values) {
        //绑定操作
        BoundListOperations<String, Object> boundValueOperations = redisTemplate.boundListOps(listKey);
        //插入数据
        boundValueOperations.rightPushAll(values);
        //设置过期时间

    }
    /**
     * 根据起始结束序号遍历Redis中的list
     * @param listKey
     * @param start  起始序号
     * @param end  结束序号
     * @return
     */
    public List<Object> rangeList(String listKey, long start, long end) {
        //绑定操作
        BoundListOperations<String, Object> boundValueOperations = redisTemplate.boundListOps(listKey);
        //查询数据
        return boundValueOperations.range(start, end);
    }
    /**
     * 弹出右边的值 --- 并且移除这个值
     * @param listKey
     */
    public Object rifhtPop(String listKey){
        //绑定操作
        BoundListOperations<String, Object> boundValueOperations = redisTemplate.boundListOps(listKey);
        return boundValueOperations.rightPop();
    }

    //=========BoundListOperations 用法 End============

}

在方法中注入redisUtils既可使用
import com.qh.chat.common.utils.Const;
import com.qh.chat.common.utils.RedisUtil;
import com.qh.chat.system.entity.RecordBroadcast;
import com.qh.chat.system.entity.RecordCustomer;
import com.qh.chat.system.entity.RecordPrivate;
import com.qh.chat.system.entity.RecordRoom;
import com.qh.chat.system.service.IRecordBroadcastService;
import com.qh.chat.system.service.IRecordCustomerService;
import com.qh.chat.system.service.IRecordPrivateService;
import com.qh.chat.system.service.IRecordRoomService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.scheduling.annotation.Scheduled;
import org.springframework.stereotype.Component;
import org.springframework.transaction.annotation.Isolation;
import org.springframework.transaction.annotation.Propagation;
import org.springframework.transaction.annotation.Transactional;import javax.annotation.Resource;
import java.time.LocalDate;
import java.util.ArrayList;
import java.util.List;
import java.util.Set;@Component
public class RecordChatTask {    @Resource
    private RedisUtil redisUtil;    @Autowired
    private IRecordBroadcastService broadService;    @Autowired
    private IRecordPrivateService privateService;    @Autowired
    private IRecordRoomService roomService;    @Autowired
    private IRecordCustomerService customerService;    /**
     * 将聊天信息从redis缓存中取出保存到数据中,并将redis中取出的缓存删除
     */
    //每隔10分钟执行一次
//    @Scheduled(cron="0 */10 * * * ? ")
    @Transactional(propagation = Propagation.REQUIRED,isolation = Isolation.DEFAULT, readOnly = false, rollbackFor = Exception.class)
    public void savePrivateChatRecord(){
        //从redis缓存中取私聊信息
        String privateKey= Const.RECORD_PRIVATE_KEY;
        String pp=privateKey+"*";
        //模糊查询所有符合规定的key
        Set pset = redisUtil.keys(pp);
        //取私聊信息,分别获取所有的私聊key
         List<RecordPrivate> privatelist=new ArrayList();
         if (pset.size()==0||pset.isEmpty()){
             return ;
         }
         for (Object obj:pset) {
             //根据key之获取对应的list集合
             String key= (String)obj;
             //获取key对应的链表
             List<Object> plist = redisUtil.lGet(key,0,-1);
             String from_to=key.substring(9);
             String [] arr=from_to.split("-");
             RecordPrivate pchat=new RecordPrivate();
             //设置pchat的属性
             pchat.setPcontent(plist);
             //设置发送人和接收人
             pchat.setSendId(Long.parseLong(arr[0]));
             pchat.setReceiveId(Long.parseLong(arr[1]));
             // 设置当天日期
             pchat.setPtime(LocalDate.now());
             privatelist.add(pchat);
         }        if(!privatelist.isEmpty()&&privatelist.size()>0) {
            boolean presult = privateService.saveBatch(privatelist);
            if (presult) {
                //如果插入数据库成功,则将对应的链表从缓存中删除掉
                List list = new ArrayList(pset);
                redisUtil.delKeys(list);
            }
        }    }
    /**
     * 每隔10分钟将聊天室记录保存并删除
     */
//    @Scheduled(cron="0 */10 * * * ? ")
    @Transactional(propagation = Propagation.REQUIRED,isolation = Isolation.DEFAULT, readOnly = false, rollbackFor = Exception.class)
    public void saveRoomChatRecord(){
        //取聊天室信息获取所有的聊天室key
        String roomKey=Const.RECORD_ROOM_KEY;
        String rr=roomKey+"*";
        Set rset = redisUtil.keys(rr);
        List<RecordRoom> roomlist=new ArrayList<>();
        if (rset.isEmpty()||rset.size()==0){
            return ;
        }
        for (Object obj:rset) {
            String key=(String)obj;
            //获取key对应的链表内容
            List<Object> rlist = redisUtil.lGet(key, 0, -1);
            String roomNo=key.substring(9);
            RecordRoom roomchat=new RecordRoom();
            roomchat.setRoomNo(Long.parseLong(roomNo));
            roomchat.setRcontent(rlist);
            roomchat.setRtime(LocalDate.now());
            roomlist.add(roomchat);
        }        if(!roomlist.isEmpty()&&roomlist.size()>0) {
            boolean result = roomService.saveBatch(roomlist);
            if (result) {
                //如果插入数据库成功,则将对应的链表从缓存中删除掉
                List list = new ArrayList(rset);
                redisUtil.delKeys(list);
            }
        }
    }    /**
     * 每天晚上凌晨2点执行清除缓存等待操作
     */
    @Scheduled(cron="0 0 2 * * ?")
    @Transactional(propagation = Propagation.REQUIRED,isolation = Isolation.DEFAULT, readOnly = false, rollbackFor = Exception.class)
    public void saveBroadChatRecord(){
        //取通知信息,分别获取所有的广播key
        String broadKey=Const.RECORD_BROADCAST_KEY;
        String bb=broadKey+"*";
        Set bset = redisUtil.keys(bb);
        List<RecordBroadcast> broadlist=new ArrayList();
        if (bset.isEmpty()||bset.size()==0){
            return ;
        }
        //便利bset集合,分别获取所有的通知key
        for (Object obj:bset) {
            String key = (String) obj;
            //根据key获取链表内容
            List<Object> blist = redisUtil.lGet(key, 0, -1);
            String from=key.substring(9);
            RecordBroadcast broadcast=new RecordBroadcast();
            broadcast.setBcontent(blist);
            broadcast.setSendId(Long.parseLong(from));
            broadcast.setBtime(LocalDate.now());
        }
        //将聊天内容批量插入数据库中并将所有取出的聊天key从redis缓存中删除掉
        if(!broadlist.isEmpty()&&broadlist.size()>0){
            boolean bresult=broadService.saveBatch(broadlist);
            if(bresult){
                //如果插入数据库成功,则将对应的链表从缓存中删除掉
                List list=new ArrayList(bset);
                redisUtil.delKeys(list);
            }
        }
    }    /**
     * 每天晚上凌晨1点执行清除缓存等待操作
     */
    @Scheduled(cron="0 0 1 * * ?")
    public void clearWaitRedis(){
        String key=Const.WAIT_CUSTOMER_KEY;
        redisUtil.delOne(key);
    }    /**
     * 每天晚上凌晨1点执行清除缓存等待操作
     */    @Scheduled(cron="0 0 1 * * ?")
    public void saveCustomerRecord(){
        String customkey=Const.RECORD_CUSTOMER_KEY;
        String bb=customkey+"*";
        Set cset = redisUtil.keys(bb);
        List<RecordCustomer> customlist=new ArrayList<>();
        if (cset.isEmpty()||cset.size()==0){
            return ;
        }
        //便利bset集合,分别获取所有的通知key
        for (Object obj:cset) {
            String key = (String) obj;
            //根据key获取链表内容
            List<Object> clist = redisUtil.lGet(key, 0, -1);
            String from_to=key.substring(10);
            String [] arr=from_to.split("-");
            RecordCustomer customer=new RecordCustomer();
            customer.setContent(clist);
            customer.setCustomerId(Long.parseLong(arr[0]));
            customer.setUserId(Long.parseLong(arr[1]));
            // 设置当天日期
            customer.setCtime(LocalDate.now());
            customlist.add(customer);
        }
        //将聊天内容批量插入数据库中并将所有取出的聊天key从redis缓存中删除掉
        if(!customlist.isEmpty()&&customlist.size()>0){
            boolean cresult=customerService.saveBatch(customlist);
            if(cresult){
                //如果插入数据库成功,则将对应的链表从缓存中删除掉
                List list=new ArrayList(cset);
                redisUtil.delKeys(list);
            }
        }
    }}