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Redis分布式锁,避免由于方法执行时间过长而redis锁自动过

Redis分布式锁,避免由于方法执行时间过长而redis锁自动过

作者: 突突兔007 | 来源:发表于2019-08-22 18:13 被阅读0次

使用lua脚本删除redis中匹配value的key,可以避免由于方法执行时间过长而redis锁自动过期失效的时候误删其他线程的锁

public static final String UNLOCK_LUA;

    static {
        StringBuilder sb = new StringBuilder();
        sb.append("if redis.call(\"get\",KEYS[1]) == ARGV[1] ");
        sb.append("then ");
        sb.append("    return redis.call(\"del\",KEYS[1]) ");
        sb.append("else ");
        sb.append("    return 0 ");
        sb.append("end ");
        UNLOCK_LUA = sb.toString();
    }
public boolean setLock(String key, long expire) {
        try {
            RedisCallback<String> callback = (connection) -> {
                JedisCommands commands = (JedisCommands) connection.getNativeConnection();
                String uuid = UUID.randomUUID().toString();
                return commands.set(key, uuid, "NX", "PX", expire);
            };
            String result = (String) redisTemplate2.execute(callback);

            return !StringUtils.isEmpty(result);
        } catch (Exception e) {
            e.printStackTrace();
        }
        return false;
    }
    try {
            RedisCallback<String> callback = (connection) -> {
                JedisCommands commands = (JedisCommands) connection.getNativeConnection();
                return commands.get(key);
            };
            String result = (String) redisTemplate2.execute(callback);
            return result;
        } catch (Exception e) {
            e.printStackTrace();
        }
        return "";
    }
public boolean releaseLock(String key, String requestId) {
        // 释放锁的时候,有可能因为持锁之后方法执行时间大于锁的有效期,此时有可能已经被另外一个线程持有锁,所以不能直接删除
        try {
            List<String> keys = new ArrayList<>();
            keys.add(key);
            List<String> args = new ArrayList<>();
            args.add(requestId);

            // 使用lua脚本删除redis中匹配value的key,可以避免由于方法执行时间过长而redis锁自动过期失效的时候误删其他线程的锁
            // spring自带的执行脚本方法中,集群模式直接抛出不支持执行脚本的异常,所以只能拿到原redis的connection来执行脚本
            RedisCallback<Long> callback = (connection) -> {
                Object nativeConnection = connection.getNativeConnection();
                // 集群模式和单机模式虽然执行脚本的方法一样,但是没有共同的接口,所以只能分开执行
                // 集群模式
                if (nativeConnection instanceof JedisCluster) {
                    return (Long) ((JedisCluster) nativeConnection).eval(UNLOCK_LUA, keys, args);
                }

                // 单机模式
                else if (nativeConnection instanceof Jedis) {
                    return (Long) ((Jedis) nativeConnection).eval(UNLOCK_LUA, keys, args);
                }
                return 0L;
            };
            Long result = (Long) redisTemplate2.execute(callback);

            return result != null && result > 0;
        } catch (Exception e) {
            e.printStackTrace();
        } finally {
            // 清除掉ThreadLocal中的数据,避免内存溢出
            // lockFlag.remove();
        }
        return false;
    }

完整代码如下:

import java.math.BigDecimal;
import java.util.ArrayList;
import java.util.Date;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Set;
import java.util.UUID;
import javax.annotation.Resource;
import org.apache.commons.lang3.StringUtils;
import org.springframework.amqp.rabbit.annotation.RabbitHandler;
import org.springframework.amqp.rabbit.annotation.RabbitListener;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.RedisCallback;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.stereotype.Component;
import org.springframework.stereotype.Service;
import com.google.common.collect.Maps;
import com.threeb.robot.producer.EntrustBalanceProducer;
import com.threeb.robot.rabbitMq.RabbitConfig;
import com.threeb.robot.service.ub.EntrustService;
import com.threeb.robot.utils.JsonUtils;
import redis.clients.jedis.Jedis;
import redis.clients.jedis.JedisCluster;
import redis.clients.jedis.JedisCommands;

@Component
@RabbitListener(queues = { RabbitConfig.QUEUE_PUT_1 })
@Service
public class EntrustPutReceiver {
    
    ......
    ......

    public static final String UNLOCK_LUA;

    static {
        StringBuilder sb = new StringBuilder();
        sb.append("if redis.call(\"get\",KEYS[1]) == ARGV[1] ");
        sb.append("then ");
        sb.append("    return redis.call(\"del\",KEYS[1]) ");
        sb.append("else ");
        sb.append("    return 0 ");
        sb.append("end ");
        UNLOCK_LUA = sb.toString();
    }

    
    public void updateBalance(String entrustNum, Map<String, Object> map, String id, String direction, String main_cur,
            String secondary_cur, BigDecimal total, BigDecimal price, String userId) {
        try {
            boolean lockOk_userId_main_cur = setLock(userId + "_" + main_cur + "_lock", 10000);
            boolean lockOk_userId_secondary_cur = setLock(userId + "_" + secondary_cur + "_lock", 10000);
            if (lockOk_userId_main_cur && lockOk_userId_secondary_cur) {
                requestId1 = get(userId + "_" + main_cur + "_lock");
                requestId2 = get(userId + "_" + secondary_cur + "_lock");
                
                //设置锁成功之后,执行相关业务逻辑
            } else {
                //设置锁失败,说明此锁存在,则递归调用,如果递归调用的时候设置锁成功,则会执行if逻辑。
                updateBalance(entrustNum, map, id, direction, main_cur, secondary_cur, total, price, userId);
            }
        } catch (Exception ex) {
            ex.printStackTrace();
        } finally {
            if (requestId1 != null && requestId2 != null) {
                releaseLock(userId + "_" + main_cur + "_lock", requestId1);
                releaseLock(userId + "_" + secondary_cur + "_lock", requestId2);
            }
        }
    }

    public boolean setLock(String key, long expire) {
        try {
            RedisCallback<String> callback = (connection) -> {
                JedisCommands commands = (JedisCommands) connection.getNativeConnection();
                String uuid = UUID.randomUUID().toString();
                return commands.set(key, uuid, "NX", "PX", expire);
            };
            String result = (String) redisTemplate2.execute(callback);

            return !StringUtils.isEmpty(result);
        } catch (Exception e) {
            e.printStackTrace();
        }
        return false;
    }

    public String get(String key) {
        try {
            RedisCallback<String> callback = (connection) -> {
                JedisCommands commands = (JedisCommands) connection.getNativeConnection();
                return commands.get(key);
            };
            String result = (String) redisTemplate2.execute(callback);
            return result;
        } catch (Exception e) {
            e.printStackTrace();
        }
        return "";
    }

    public boolean releaseLock(String key, String requestId) {
        // 释放锁的时候,有可能因为持锁之后方法执行时间大于锁的有效期,此时有可能已经被另外一个线程持有锁,所以不能直接删除
        try {
            List<String> keys = new ArrayList<>();
            keys.add(key);
            List<String> args = new ArrayList<>();
            args.add(requestId);

            // 使用lua脚本删除redis中匹配value的key,可以避免由于方法执行时间过长而redis锁自动过期失效的时候误删其他线程的锁
            // spring自带的执行脚本方法中,集群模式直接抛出不支持执行脚本的异常,所以只能拿到原redis的connection来执行脚本
            RedisCallback<Long> callback = (connection) -> {
                Object nativeConnection = connection.getNativeConnection();
                // 集群模式和单机模式虽然执行脚本的方法一样,但是没有共同的接口,所以只能分开执行
                // 集群模式
                if (nativeConnection instanceof JedisCluster) {
                    return (Long) ((JedisCluster) nativeConnection).eval(UNLOCK_LUA, keys, args);
                }

                // 单机模式
                else if (nativeConnection instanceof Jedis) {
                    return (Long) ((Jedis) nativeConnection).eval(UNLOCK_LUA, keys, args);
                }
                return 0L;
            };
            Long result = (Long) redisTemplate2.execute(callback);

            return result != null && result > 0;
        } catch (Exception e) {
            e.printStackTrace();
        } finally {
            // 清除掉ThreadLocal中的数据,避免内存溢出
            // lockFlag.remove();
        }
        return false;
    }
}

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