RedisUtil LettuceFutures.awaitAll

import com.google.common.base.Joiner;
import com.google.common.collect.Lists;
import com.google.common.collect.Maps;
import io.lettuce.core.KeyValue;
import io.lettuce.core.LettuceFutures;
import io.lettuce.core.RedisFuture;
import io.lettuce.core.cluster.api.async.RedisClusterAsyncCommands;
import org.apache.commons.codec.digest.DigestUtils;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.connection.RedisConnectionFactory;
import org.springframework.data.redis.connection.lettuce.LettuceConnection;
import org.springframework.data.redis.core.BoundListOperations;
import org.springframework.data.redis.core.RedisConnectionUtils;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.serializer.Jackson2JsonRedisSerializer;
import org.springframework.data.redis.serializer.RedisSerializer;
import org.springframework.data.redis.serializer.StringRedisSerializer;
import org.springframework.lang.Nullable;
import org.springframework.stereotype.Component;
import org.springframework.util.CollectionUtils;

import java.util.*;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.TimeUnit;

import static com.xxx.ConstantConfiguration.REDIS_KEY_SERVER_PREFIX;

@Component
public class RedisUtil {

    @Autowired
    private RedisTemplate<String, Object> redisTemplate;

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

    /**
     * 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;
        }
    }


    /**
     * 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) {
        return redisTemplate.getExpire(key, TimeUnit.SECONDS);
    }

    /**
     * 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;
        }
    }

    /**
     * 批量添加数据
     * @param data
     * @return
     */
    public boolean hmsetPipelined(Map<Object, Map<String, Object>> data) {
        try {
            RedisConnectionFactory connectionFactory = redisTemplate.getConnectionFactory();
            LettuceConnection connection = null;
            try {
                connection = (LettuceConnection) RedisConnectionUtils.getConnection(connectionFactory);
                RedisClusterAsyncCommands<byte[], byte[]> commands = connection.getNativeConnection();
                commands.setAutoFlushCommands(true);
                List<RedisFuture<?>> futures = Lists.newArrayList();
                RedisSerializer redisSerializer = new StringRedisSerializer();
                RedisSerializer redisSerializerKey = new StringRedisSerializer();
                data.forEach((k, v) -> {
                    futures.add(commands.hmset(redisSerializerKey.serialize(k.toString()), mapSerializer(v, redisSerializer)));
                });
                commands.flushCommands();
                return LettuceFutures.awaitAll(60, TimeUnit.SECONDS,
                        futures.toArray(new RedisFuture[futures.size()]));
            } finally {
                if (connection != null) {
                    RedisConnectionUtils.releaseConnection(connection, connectionFactory, false);
                }
            }
        } catch (Exception e) {
            e.printStackTrace();
            return false;
        }
    }

    private Map<byte[], byte[]> mapSerializer(Map<String, Object> v, RedisSerializer redisSerializer) {
        Map<byte[], byte[]> hashes = new HashMap<>(v.size());
        if (!v.isEmpty()) {
            Iterator var5 = v.entrySet().iterator();
            while (var5.hasNext()) {
                Map.Entry<String, Object> entry = (Map.Entry) var5.next();
               Object value = entry.getValue();
                if (value != null) {
                    value = value.toString();
                }
                hashes.put(redisSerializer.serialize((entry.getKey())), redisSerializer.serialize(value));
            }
        }
        return hashes;
    }

    public boolean hdelPipelined(Set<Object> keys) {
        try {
            RedisConnectionFactory connectionFactory = redisTemplate.getConnectionFactory();
            LettuceConnection connection = null;
            try {
                connection = (LettuceConnection) RedisConnectionUtils.getConnection(connectionFactory);
                RedisClusterAsyncCommands<byte[], byte[]> commands = connection.getNativeConnection();
                commands.setAutoFlushCommands(true);
                List<RedisFuture<?>> futures = Lists.newArrayList();
                RedisSerializer redisSerializerKey = new StringRedisSerializer();
                keys.forEach(k -> {
                    futures.add(commands.del(redisSerializerKey.serialize(k)));
                });
                commands.flushCommands();
                return LettuceFutures.awaitAll(60, TimeUnit.SECONDS,
                        futures.toArray(new RedisFuture[futures.size()]));
            } finally {
                if (connection != null) {
                    RedisConnectionUtils.releaseConnection(connection, connectionFactory, false);
                }
            }
        } catch (Exception e) {
            e.printStackTrace();
            return false;
        }
    }

    public boolean hdelPipelinedHashKey(Map<Object, Set<String>> data) {
        try {
            RedisConnectionFactory connectionFactory = redisTemplate.getConnectionFactory();
            LettuceConnection connection = null;
            try {
                connection = (LettuceConnection) RedisConnectionUtils.getConnection(connectionFactory);
                RedisClusterAsyncCommands<byte[], byte[]> commands = connection.getNativeConnection();
                commands.setAutoFlushCommands(true);
                List<RedisFuture<?>> futures = Lists.newArrayList();
                RedisSerializer redisSerializerKey = new StringRedisSerializer();
                data.forEach((k,v) -> {
                    v.forEach(itemKey->{
                        futures.add(commands.hdel(redisSerializerKey.serialize(k),redisSerializerKey.serialize(itemKey)));
                    });
                });
                commands.flushCommands();
                return LettuceFutures.awaitAll(60, TimeUnit.SECONDS,
                        futures.toArray(new RedisFuture[futures.size()]));
            } finally {
                if (connection != null) {
                    RedisConnectionUtils.releaseConnection(connection, connectionFactory, false);
                }
            }
        } catch (Exception e) {
            e.printStackTrace();
            return false;
        }
    }

    public List<Map<String, Object>> hgetPipelined(Set<String> keys) {
        RedisConnectionFactory connectionFactory = redisTemplate.getConnectionFactory();
        LettuceConnection connection = null;
        try {
            connection = (LettuceConnection) RedisConnectionUtils.getConnection(connectionFactory);
            RedisClusterAsyncCommands<byte[], byte[]> commands = connection.getNativeConnection();
            commands.setAutoFlushCommands(true);
            List<RedisFuture<Map<byte[], byte[]>>> futures = Lists.newArrayList();
//                StringRedisSerializer redisSerializerKey = new StringRedisSerializer();
            StringRedisSerializer redisSerializer = new StringRedisSerializer();
            keys.forEach(k -> {
                futures.add(commands.hgetall(redisSerializer.serialize(k)));
            });
            commands.flushCommands();
            LettuceFutures.awaitAll(60, TimeUnit.SECONDS,
                    futures.toArray(new RedisFuture[futures.size()]));
            List<Map<String, Object>> list = Lists.newArrayList();
            futures.forEach(item -> {
                try {
                   list.add(deserializeHashMap(item.get(),redisSerializer));
                } catch (InterruptedException e) {
                    e.printStackTrace();
                } catch (ExecutionException e) {
                    e.printStackTrace();
                }
            });
            return list;
        } finally {
            if (connection != null) {
                RedisConnectionUtils.releaseConnection(connection, connectionFactory, false);
            }
        }

    }

    private Map<String, Object> deserializeHashMap(@Nullable Map<byte[], byte[]> entries,RedisSerializer redisSerializer) {
        // connection in pipeline/multi mode

        if (entries == null) {
            return null;
        }

        Map<String, Object> map = Maps.newHashMap();

        for (Map.Entry<byte[], byte[]> entry : entries.entrySet()) {
            map.put((String) redisSerializer.deserialize(entry.getKey()), (Object) redisSerializer.deserialize(entry.getValue()));
        }

        return map;
    }

    /**
     * 删除缓存
     *
     * @param key 可以传一个值 或多个
     */
    @SuppressWarnings("unchecked")
    public void del(String... key) {
        if (key != null && key.length > 0) {
            if (key.length == 1) {
                redisTemplate.delete(key[0]);
            } else {
                redisTemplate.delete(CollectionUtils.arrayToList(key));
            }
        }
    }

    //============================String=============================

    /**
     * 普通缓存获取
     *
     * @param key 键
     * @return 值
     */
    public Object get(String key) {
        return key == null ? null : redisTemplate.opsForValue().get(key);
    }

    /**
     * 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;
        }
    }

    /**
     * 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;
        }
    }

    /**
     * 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");
        }
        return redisTemplate.opsForValue().increment(key, delta);
    }

    /**
     * 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");
        }
        return redisTemplate.opsForValue().increment(key, -delta);
    }

    //================================Map=================================

    /**
     * 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);
    }

    /**
     * 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);
    }

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

    /**
     * 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 hmset(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;
        }
    }

    /**
     * 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 hset(String key, String item, Object value) {
        try {
            redisTemplate.opsForHash().put(key, item, value);
            return true;
        } catch (Exception e) {
            e.printStackTrace();
            return false;
        }
    }

    /**
     * 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 hset(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;
        }
    }

    /**
     * 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);
    }

    /**
     * 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);
    }

    /**
     * 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);
    }

    /**
     * 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);
    }

    //============================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;
        }
    }

    /**
     * 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;
        }
    }

    /**
     * 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;
        }
    }

    /**
     * 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;
        }
    }

    /**
     * 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;
        }
    }

    /**
     * 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;
        }
    }
    //===============================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;
        }
    }

    /**
     * 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;
        }
    }

    /**
     * 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;
        }
    }

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

    /**
     * 将list放入缓存
     *
     * @param key   键
     * @param value 值
     * @param time  时间(秒)
     * @return
     */
    public boolean lSet(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;
        }
    }

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

    /**
     * 将list放入缓存
     *
     * @param key   键
     * @param value 值
     * @param time  时间(秒)
     * @return
     */
    public boolean lSet(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;
        }
    }

    /**
     * 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;
        }
    }

    /**
     * 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;
        }
    }

    /**
     * 模糊查询获取key值
     *
     * @param pattern
     * @return
     */
    public Set keys(String pattern) {
        return redisTemplate.keys(pattern);
    }

    /**
     * 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);
    }


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

    /**
     * 将数据添加到Redis的list中（从右边添加）
     *
     * @param listKey
     * @param expireEnum 有效期的枚举类
     * @param values     待添加的数据
     */
    public void addToListRight(String listKey, Status.ExpireEnum expireEnum, 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
        boundValueOperations.expire(expireEnum.getTime(), expireEnum.getTimeUnit());
    }

    /**
     * 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();
    }

    public List<Object> multiGet(Set<String> keys) {
        //绑定操作
        return redisTemplate.opsForValue().multiGet(keys);
    }

    public String getRedisKeyMD5(String key, Object... objects) {
        String finalKey;
        StringBuilder digestHexKey = new StringBuilder(key);
        for (Object o : objects) {
            digestHexKey.append('_').append(o == null ? "null" : o.toString());
        }
        finalKey = key + "_" + DigestUtils.md5Hex(digestHexKey.toString());
        return finalKey;
    }

    /**
     * REDIS_KEY_SERVER_PREFIX + "_" + key
     *
     * @return
     */
    public String getRedisKey(String... key) {
        return REDIS_KEY_SERVER_PREFIX + Joiner.on("_").join(key);
    }

    public Set<Object> hkey(String key) {
        return redisTemplate.opsForHash().keys(key);
    }

}