redisson看门狗 tryLock redisson看门狗死锁bug

手写Redis分布式锁

面试题：
1.Redis除了拿来做缓存，你还见过基于Redis的什么用法?
数据共享，分布式session分布式锁
全局ID
计算器、点赞位统计
购物车
轻量级消息队列（list，stream）
抽奖
点赞、签到、打卡
差集交集并集，用户关注、可能认识的人，推荐模型
热点新闻、热搜排行榜
2.Redis做分布式锁的时候有需要注意的问题?
3.你们公司自己实现的分布式锁是否用的setnx命令实现?这个是最合适的吗?你如何考虑分布式锁的可重入问题?
4.如果是Redis是单点部署的，会带来什么问题?
5.Redis集群模式下，比如主从模式，CAP方面有没有什么问题呢?
6.那你简单的介绍一下Redlock 吧?你简历上写redisson，你谈谈
7.Redis分布式锁如何续期?看门狗知道吗?

锁的种类

单机版同一个JVM虚拟机内，synchronized或者Lock接口
分布式多个不同JVM虚拟机，单机的线程锁机制不再起作用，资源类在不同的服务器之间共享了。

一个靠谱分布式锁需要具备的条件和刚需

独占性：OnlyOne，任何时刻只能有且仅有一个线程持有
高可用：若redis集群环境下，不能因为某一个节点挂了而出现获取锁和释放锁失败的情况。高并发请求下，依旧性能OK好使
防死锁：杜绝死锁，必须有超时控制机制或者撤销操作，有个兜底终止跳出方案
不乱抢：防止张冠李戴，不能私下unlock别人的锁，只能自己加锁自己释放，自己约的锁含着泪也要自己解
重入性：同一个节点的同一个线程如果获得锁之后，它也可以再次获取这个锁。

分布式锁

setnx key value：

set key value [ EX seconds ] [ PX milliseconds ] [NX|XX]

重点：

JUC中AQs锁的规范落地参考+可重入锁考虑+Lua脚本+Redis命令一步步实现分布式锁

Base案例(boot+redis)：

使用场景：多个服务间保证同一时刻同一时间段内同一用户只能有一个请求(防止关键业务出现并发攻击)
建Module：redis_distributed_lock2，redis_distributed_lock3
改POM：

<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
         xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
    <modelVersion>4.0.0</modelVersion>

    <groupId>com.atguigu.redislock</groupId>
    <artifactId>redis_distributed_lock2</artifactId>
    <version>1.0-SNAPSHOT</version>


    <parent>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-parent</artifactId>
        <version>2.6.12</version>
        <relativePath/> <!-- lookup parent from repository -->
    </parent>


    <properties>
        <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
        <maven.compiler.source>8</maven.compiler.source>
        <maven.compiler.target>8</maven.compiler.target>
        <lombok.version>1.16.18</lombok.version>
    </properties>



    <dependencies>
        <!--SpringBoot通用依赖模块-->
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-web</artifactId>
        </dependency>
        <!--SpringBoot与Redis整合依赖-->
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-data-redis</artifactId>
        </dependency>
        <dependency>
            <groupId>org.apache.commons</groupId>
            <artifactId>commons-pool2</artifactId>
        </dependency>
        <!--swagger2-->
        <dependency>
            <groupId>io.springfox</groupId>
            <artifactId>springfox-swagger2</artifactId>
            <version>2.9.2</version>
        </dependency>
        <dependency>
            <groupId>io.springfox</groupId>
            <artifactId>springfox-swagger-ui</artifactId>
            <version>2.9.2</version>
        </dependency>
        <!--通用基础配置boottest/lombok/hutool-->
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-test</artifactId>
            <scope>test</scope>
        </dependency>
        <dependency>
            <groupId>org.projectlombok</groupId>
            <artifactId>lombok</artifactId>
            <version>${lombok.version}</version>
            <optional>true</optional>
        </dependency>
        <dependency>
            <groupId>cn.hutool</groupId>
            <artifactId>hutool-all</artifactId>
            <version>5.8.8</version>
        </dependency>
    </dependencies>

    <build>
        <plugins>
            <plugin>
                <groupId>org.springframework.boot</groupId>
                <artifactId>spring-boot-maven-plugin</artifactId>
            </plugin>
        </plugins>
    </build>

</project>

写YML：

server.port=7777

spring.application.name=redis_distributed_lock
# ========================swagger2=====================
# http://localhost:7777/swagger-ui.html
swagger2.enabled=true
spring.mvc.pathmatch.matching-strategy=ant_path_matcher

# ========================redis单机=====================
spring.redis.database=0
spring.redis.host=192.168.111.185
spring.redis.port=6379
spring.redis.password=111111
spring.redis.lettuce.pool.max-active=8
spring.redis.lettuce.pool.max-wait=-1ms
spring.redis.lettuce.pool.max-idle=8
spring.redis.lettuce.pool.min-idle=0

主启动：

package com.atguigu.redislock;

import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;

/**
 * @auther zzyy
 * @create 2022-10-12 22:20
 */
@SpringBootApplication
public class RedisDistributedLockApp7777
{
    public static void main(String[] args)
    {
        SpringApplication.run(RedisDistributedLockApp7777.class,args);
    }
}

业务类：
Swagger2Config

package com.atguigu.redislock.config;

import org.springframework.beans.BeansException;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.beans.factory.config.BeanPostProcessor;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.web.servlet.mvc.method.RequestMappingInfoHandlerMapping;
import springfox.documentation.builders.ApiInfoBuilder;
import springfox.documentation.builders.PathSelectors;
import springfox.documentation.builders.RequestHandlerSelectors;
import springfox.documentation.service.ApiInfo;
import springfox.documentation.spi.DocumentationType;
import springfox.documentation.spring.web.plugins.Docket;
import springfox.documentation.spring.web.plugins.WebMvcRequestHandlerProvider;
import springfox.documentation.swagger2.annotations.EnableSwagger2;

import java.time.LocalDateTime;
import java.time.format.DateTimeFormatter;
import java.util.List;
import java.util.stream.Collectors;

/**
 * @auther zzyy
 * @create 2022-10-12 21:55
 */
@Configuration
@EnableSwagger2
public class Swagger2Config
{
    @Value("${swagger2.enabled}")
    private Boolean enabled;

    @Bean
    public Docket createRestApi() {
        return new Docket(DocumentationType.SWAGGER_2)
                .apiInfo(apiInfo())
                .enable(enabled)
                .select()
                .apis(RequestHandlerSelectors.basePackage("com.atguigu.redislock")) //你自己的package
                .paths(PathSelectors.any())
                .build();
    }
    private ApiInfo apiInfo() {
        return new ApiInfoBuilder()
                .title("springboot利用swagger2构建api接口文档 "+"\t"+ DateTimeFormatter.ofPattern("yyyy-MM-dd").format(LocalDateTime.now()))
                .description("springboot+redis整合")
                .version("1.0")
                .termsOfServiceUrl("https://www.baidu.com/")
                .build();
    }

}

RedisConfig：

package com.atguigu.redislock.config;

import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.redis.connection.lettuce.LettuceConnectionFactory;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.serializer.GenericJackson2JsonRedisSerializer;
import org.springframework.data.redis.serializer.StringRedisSerializer;

/**
 * @auther zzyy
 * @create 2022-07-02 11:25
 */
@Configuration
public class RedisConfig
{
    @Bean
    public RedisTemplate<String, Object> redisTemplate(LettuceConnectionFactory lettuceConnectionFactory)
    {
        RedisTemplate<String,Object> redisTemplate = new RedisTemplate<>();
        redisTemplate.setConnectionFactory(lettuceConnectionFactory);
        //设置key序列化方式string
        redisTemplate.setKeySerializer(new StringRedisSerializer());
        //设置value的序列化方式json
        redisTemplate.setValueSerializer(new GenericJackson2JsonRedisSerializer());

        redisTemplate.setHashKeySerializer(new StringRedisSerializer());
        redisTemplate.setHashValueSerializer(new GenericJackson2JsonRedisSerializer());

        redisTemplate.afterPropertiesSet();

        return redisTemplate;
    }
}

lnventoryService

package com.atguigu.redislock.service;

import cn.hutool.core.util.IdUtil;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.data.redis.core.StringRedisTemplate;
import org.springframework.stereotype.Service;

import java.util.concurrent.locks.Lock;
import java.util.concurrent.locks.ReentrantLock;

/**
 * @auther zzyy
 * @create 2022-10-22 15:14
 */
@Service
@Slf4j
public class InventoryService
{
    @Autowired
    private StringRedisTemplate stringRedisTemplate;
    @Value("${server.port}")
    private String port;

    private Lock lock = new ReentrantLock();

    public String sale()
    {
        String retMessage = "";
        lock.lock();
        try
        {
            //1 查询库存信息
            String result = stringRedisTemplate.opsForValue().get("inventory001");
            //2 判断库存是否足够
            Integer inventoryNumber = result == null ? 0 : Integer.parseInt(result);
            //3 扣减库存
            if(inventoryNumber > 0) {
                stringRedisTemplate.opsForValue().set("inventory001",String.valueOf(--inventoryNumber));
                retMessage = "成功卖出一个商品，库存剩余: "+inventoryNumber;
                System.out.println(retMessage);
            }else{
                retMessage = "商品卖完了，o(╥﹏╥)o";
            }
        }finally {
            lock.unlock();
        }
        return retMessage+"\t"+"服务端口号："+port;
    }
}

lnventoryController：

package com.atguigu.redislock.controller;

import cn.hutool.core.util.IdUtil;
import com.atguigu.redislock.service.InventoryService;
import io.swagger.annotations.Api;
import io.swagger.annotations.ApiOperation;
import lombok.Getter;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.ResponseStatus;
import org.springframework.web.bind.annotation.RestController;

import java.util.concurrent.atomic.AtomicInteger;

/**
 * @auther zzyy
 * @create 2022-10-12 17:05
 */
@RestController
@Api(tags = "redis分布式锁测试")
public class InventoryController
{
    @Autowired
    private InventoryService inventoryService;

    @ApiOperation("扣减库存，一次卖一个")
    @GetMapping(value = "/inventory/sale")
    public String sale()
    {
        return inventoryService.sale();
    }
}

手写分布式锁思路分析2023

1.初始化版本简单添加
业务类：lnventoryService

package com.atguigu.redislock.service;

import cn.hutool.core.util.IdUtil;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.data.redis.core.StringRedisTemplate;
import org.springframework.stereotype.Service;

import java.util.concurrent.locks.Lock;
import java.util.concurrent.locks.ReentrantLock;

/**
 * @auther zzyy
 * @create 2022-10-22 15:14
 */
@Service
@Slf4j
public class InventoryService
{
    @Autowired
    private StringRedisTemplate stringRedisTemplate;
    @Value("${server.port}")
    private String port;

    private Lock lock = new ReentrantLock();

    public String sale()
    {
        String retMessage = "";
        lock.lock();
        try
        {
            //1 查询库存信息
            String result = stringRedisTemplate.opsForValue().get("inventory001");
            //2 判断库存是否足够
            Integer inventoryNumber = result == null ? 0 : Integer.parseInt(result);
            //3 扣减库存
            if(inventoryNumber > 0) {
                stringRedisTemplate.opsForValue().set("inventory001",String.valueOf(--inventoryNumber));
                retMessage = "成功卖出一个商品，库存剩余: "+inventoryNumber;
                System.out.println(retMessage);
            }else{
                retMessage = "商品卖完了，o(╥﹏╥)o";
            }
        }finally {
            lock.unlock();
        }
        return retMessage+"\t"+"服务端口号："+port;
    }
}

请将7777的业务逻辑代码原样拷贝到8888

加了synchronized或者Lock

2.nginx分布式微服务架构

问题：

1.V2.0版本代码分布式部署后，单机锁还是出现超卖现象，需要分布式锁

2.Nginx配置负载均衡

命令地址：/usr/local/nginx/sbin

配置地址：/usr/local/nginx/conf

启动：/usr/local/nginx/sbin -> ./nginx，启动Nginx并测试通过，浏览器看到nginx欢迎welcome页面

/usr/local/nginx/conf目录下修改配置文件，nginx.conf新增反向代理和负载均衡配置

关闭：/usr/local/nginx/sbin -> ./nginx -s stop

指定配置启动：

在/usr/local/nginx/sbin路径下执行下面的命令：./nginx -c /usr/local/nginx/conf/nginx.conf

重启：/usr/local/nginx/sbin -> ./nginx -s reload

3.V2.0版本代码修改+启动两个微服务

7777：InventoryService

package com.atguigu.redislock.service;

import cn.hutool.core.util.IdUtil;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.data.redis.core.StringRedisTemplate;
import org.springframework.stereotype.Service;

import java.util.concurrent.locks.Lock;
import java.util.concurrent.locks.ReentrantLock;

/**
 * @auther zzyy
 * @create 2022-10-22 15:14
 */
@Service
@Slf4j
public class InventoryService
{
    @Autowired
    private StringRedisTemplate stringRedisTemplate;
    @Value("${server.port}")
    private String port;

    private Lock lock = new ReentrantLock();

    public String sale()
    {
        String retMessage = "";
        lock.lock();
        try
        {
            //1 查询库存信息
            String result = stringRedisTemplate.opsForValue().get("inventory001");
            //2 判断库存是否足够
            Integer inventoryNumber = result == null ? 0 : Integer.parseInt(result);
            //3 扣减库存
            if(inventoryNumber > 0) {
                stringRedisTemplate.opsForValue().set("inventory001",String.valueOf(--inventoryNumber));
                retMessage = "成功卖出一个商品，库存剩余: "+inventoryNumber;
                System.out.println(retMessage);
            }else{
                retMessage = "商品卖完了，o(╥﹏╥)o";
            }
        }finally {
            lock.unlock();
        }
        return retMessage+"\t"+"服务端口号："+port;
    }
}

8888：InventoryService

package com.atguigu.redislock.service;

import cn.hutool.core.util.IdUtil;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.data.redis.core.StringRedisTemplate;
import org.springframework.stereotype.Service;

import java.util.concurrent.locks.Lock;
import java.util.concurrent.locks.ReentrantLock;

/**
 * @auther zzyy
 * @create 2022-10-22 15:14
 */
@Service
@Slf4j
public class InventoryService
{
    @Autowired
    private StringRedisTemplate stringRedisTemplate;
    @Value("${server.port}")
    private String port;

    private Lock lock = new ReentrantLock();

    public String sale()
    {
        String retMessage = "";
        lock.lock();
        try
        {
            //1 查询库存信息
            String result = stringRedisTemplate.opsForValue().get("inventory001");
            //2 判断库存是否足够
            Integer inventoryNumber = result == null ? 0 : Integer.parseInt(result);
            //3 扣减库存
            if(inventoryNumber > 0) {
                stringRedisTemplate.opsForValue().set("inventory001",String.valueOf(--inventoryNumber));
                retMessage = "成功卖出一个商品，库存剩余: "+inventoryNumber;
                System.out.println(retMessage);
            }else{
                retMessage = "商品卖完了，o(╥﹏╥)o";
            }
        }finally {
            lock.unlock();
        }
        return retMessage+"\t"+"服务端口号："+port;
    }
}

通过Nginx访问，你的Linux服务器地址IP，反向代理+负载均衡
可以点击看到效果，一边一个，默认轮询

4.上面纯手点验证OK，下面高并发模拟

线程组redis：100个商品足够了

http请求：

jmeter压测：

76号商品被卖出2次，出现超卖故障现象

5.bug-why：

为什么加了synchronized或者Lock还是没有控制住?

在单机环境下，可以使用synchronized或Lock来实现。

但是在分布式系统中，因为竞争的线程可能不在同一个节点上（同一个jvm中），

所以需要一个让所有进程都能访问到的锁来实现(比如redis或者zookeeper来构建)

不同进程jvm层面的锁就不管用了，那么可以利用第三方的一个组件，来获取锁，未获取到锁，则阻塞当前想要运行的线程

6.分布式锁出现：

能干嘛：1.跨进程+跨服务2.解决超卖3.防止缓存击穿

解决：

上redis分布式锁setnx

官网：https://redis.io/commands/set

3.redis分布式锁

修改为3.1版

package com.atguigu.redislock.service;

import cn.hutool.core.util.IdUtil;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.data.redis.core.StringRedisTemplate;
import org.springframework.stereotype.Service;

import java.util.concurrent.TimeUnit;
import java.util.concurrent.locks.Lock;
import java.util.concurrent.locks.ReentrantLock;

/**
 * @auther zzyy
 * @create 2022-10-22 15:14
 */
@Service
@Slf4j
public class InventoryService
{
    @Autowired
    private StringRedisTemplate stringRedisTemplate;
    @Value("${server.port}")
    private String port;

    private Lock lock = new ReentrantLock();

    public String sale()
    {
        String retMessage = "";
        String key = "zzyyRedisLock";
        String uuidValue = IdUtil.simpleUUID()+":"+Thread.currentThread().getId();

        Boolean flag = stringRedisTemplate.opsForValue().setIfAbsent(key, uuidValue);
        if(!flag){
            //暂停20毫秒后递归调用
            try { TimeUnit.MILLISECONDS.sleep(20); } catch (InterruptedException e) { e.printStackTrace(); }
            sale();
        }else{
            try{
                //1 查询库存信息
                String result = stringRedisTemplate.opsForValue().get("inventory001");
                //2 判断库存是否足够
                Integer inventoryNumber = result == null ? 0 : Integer.parseInt(result);
                //3 扣减库存
                if(inventoryNumber > 0) {
                    stringRedisTemplate.opsForValue().set("inventory001",String.valueOf(--inventoryNumber));
                    retMessage = "成功卖出一个商品，库存剩余: "+inventoryNumber;
                    System.out.println(retMessage);
                }else{
                    retMessage = "商品卖完了，o(╥﹏╥)o";
                }
            }finally {
                stringRedisTemplate.delete(key);
            }
        }
        return retMessage+"\t"+"服务端口号："+port;
    }
}

通过递归重试的方式。测试手工OK，测试Jmeter压测5000，OK。递归是一种思想没错，但是容易导致stackOverflowError，不太推荐，进一步完善
修改为3.2版：

package com.atguigu.redislock.service;

import cn.hutool.core.util.IdUtil;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.data.redis.core.StringRedisTemplate;
import org.springframework.stereotype.Service;

import java.util.concurrent.TimeUnit;
import java.util.concurrent.locks.Lock;
import java.util.concurrent.locks.ReentrantLock;

/**
 * @auther zzyy
 * @create 2022-10-22 15:14
 */
@Service
@Slf4j
public class InventoryService
{
    @Autowired
    private StringRedisTemplate stringRedisTemplate;
    @Value("${server.port}")
    private String port;

    private Lock lock = new ReentrantLock();

    public String sale()
    {
        String retMessage = "";
        String key = "zzyyRedisLock";
        String uuidValue = IdUtil.simpleUUID()+":"+Thread.currentThread().getId();
        while(!stringRedisTemplate.opsForValue().setIfAbsent(key, uuidValue)){
            //暂停20毫秒，类似CAS自旋
            try { TimeUnit.MILLISECONDS.sleep(20); } catch (InterruptedException e) { e.printStackTrace(); }
        }
        try
        {
            //1 查询库存信息
            String result = stringRedisTemplate.opsForValue().get("inventory001");
            //2 判断库存是否足够
            Integer inventoryNumber = result == null ? 0 : Integer.parseInt(result);
            //3 扣减库存
            if(inventoryNumber > 0) {
                stringRedisTemplate.opsForValue().set("inventory001",String.valueOf(--inventoryNumber));
                retMessage = "成功卖出一个商品，库存剩余: "+inventoryNumber;
                System.out.println(retMessage);
            }else{
                retMessage = "商品卖完了，o(╥﹏╥)o";
            }
        }finally {
            stringRedisTemplate.delete(key);
        }
        return retMessage+"\t"+"服务端口号："+port;
    }
}

多线程判断想想JUC里面说过的虚假唤醒，用while替代if，用自旋替代递归重试

4.宕机与过期+防止死锁
当前代码为3.2版接上一步
问题：部署了微服务的Java程序机器挂了，代码层面根本没有走到finally这块，没办法保证解锁(无过期时间该key一直存在)，这个key没有被删除，需要加入一个过期时间限定key
解决：
修改为4.1版

while(!stringRedisTemplate.opsForValue().setIfAbsent(key, uuidValue))
{
    //暂停20毫秒，进行递归重试.....
    try { TimeUnit.MILLISECONDS.sleep(20); } catch (InterruptedException e) { e.printStackTrace(); }
}

stringRedisTemplate.expire(key,30L,TimeUnit.SECONDS);

4.1版本结论：设置key+过期时间分开了，必须要合并成—行具备原子性

修改为4.2 版

package com.atguigu.redislock.service;

import cn.hutool.core.util.IdUtil;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.data.redis.core.StringRedisTemplate;
import org.springframework.stereotype.Service;

import java.util.concurrent.TimeUnit;
import java.util.concurrent.locks.Lock;
import java.util.concurrent.locks.ReentrantLock;

/**
 * @auther zzyy
 * @create 2022-10-22 15:14
 */
@Service
@Slf4j
public class InventoryService
{
    @Autowired
    private StringRedisTemplate stringRedisTemplate;
    @Value("${server.port}")
    private String port;

    private Lock lock = new ReentrantLock();

    public String sale()
    {
        String retMessage = "";
        String key = "zzyyRedisLock";
        String uuidValue = IdUtil.simpleUUID()+":"+Thread.currentThread().getId();

        while(!stringRedisTemplate.opsForValue().setIfAbsent(key, uuidValue,30L,TimeUnit.SECONDS))
        {
            //暂停毫秒
            try { TimeUnit.MILLISECONDS.sleep(20); } catch (InterruptedException e) { e.printStackTrace(); }
        }

        try
        {
            //1 查询库存信息
            String result = stringRedisTemplate.opsForValue().get("inventory001");
            //2 判断库存是否足够
            Integer inventoryNumber = result == null ? 0 : Integer.parseInt(result);
            //3 扣减库存
            if(inventoryNumber > 0) {
                stringRedisTemplate.opsForValue().set("inventory001",String.valueOf(--inventoryNumber));
                retMessage = "成功卖出一个商品，库存剩余: "+inventoryNumber;
                System.out.println(retMessage);
            }else{
                retMessage = "商品卖完了，o(╥﹏╥)o";
            }
        }finally {
            stringRedisTemplate.delete(key);
        }
        return retMessage+"\t"+"服务端口号："+port;
    }
}

Jmeter压测oK
4.2版本结论：加锁和过期时间设置必须同一行，保证原子性

5.防止误删key的问题

当前代码为4.2版接上一步

问题：

实际业务处理时间如果超过了默认设置key的过期时间??

张冠李戴，删除了别人的锁

解决：只能自己删除自己的，不许动别人的

修改为5.0版

package com.atguigu.redislock.service;

import cn.hutool.core.util.IdUtil;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.data.redis.core.StringRedisTemplate;
import org.springframework.stereotype.Service;

import java.util.concurrent.TimeUnit;
import java.util.concurrent.locks.Lock;
import java.util.concurrent.locks.ReentrantLock;

/**
 * @auther zzyy
 * @create 2022-10-22 15:14
 */
@Service
@Slf4j
public class InventoryService
{
    @Autowired
    private StringRedisTemplate stringRedisTemplate;
    @Value("${server.port}")
    private String port;

    private Lock lock = new ReentrantLock();

    public String sale()
    {
        String retMessage = "";
        String key = "zzyyRedisLock";
        String uuidValue = IdUtil.simpleUUID()+":"+Thread.currentThread().getId();

        while(!stringRedisTemplate.opsForValue().setIfAbsent(key, uuidValue,30L,TimeUnit.SECONDS))
        {
            //暂停毫秒
            try { TimeUnit.MILLISECONDS.sleep(20); } catch (InterruptedException e) { e.printStackTrace(); }
        }
        try
        {
            //1 查询库存信息
            String result = stringRedisTemplate.opsForValue().get("inventory001");
            //2 判断库存是否足够
            Integer inventoryNumber = result == null ? 0 : Integer.parseInt(result);
            //3 扣减库存
            if(inventoryNumber > 0) {
                stringRedisTemplate.opsForValue().set("inventory001",String.valueOf(--inventoryNumber));
                retMessage = "成功卖出一个商品，库存剩余: "+inventoryNumber+"\t"+uuidValue;
                System.out.println(retMessage);
            }else{
                retMessage = "商品卖完了，o(╥﹏╥)o";
            }
        }finally {
            // v5.0判断加锁与解锁是不是同一个客户端，同一个才行，自己只能删除自己的锁，不误删他人的
            if(stringRedisTemplate.opsForValue().get(key).equalsIgnoreCase(uuidValue)){
                stringRedisTemplate.delete(key);
            }
        }
        return retMessage+"\t"+"服务端口号："+port;
    }
}

6.Lua保证原子性
当前代码为5.0版接上一步

package com.atguigu.redislock.service;

import cn.hutool.core.util.IdUtil;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.data.redis.core.StringRedisTemplate;
import org.springframework.stereotype.Service;

import java.util.concurrent.TimeUnit;
import java.util.concurrent.locks.Lock;
import java.util.concurrent.locks.ReentrantLock;

/**
 * @auther zzyy
 * @create 2022-10-22 15:14
 */
@Service
@Slf4j
public class InventoryService
{
    @Autowired
    private StringRedisTemplate stringRedisTemplate;
    @Value("${server.port}")
    private String port;

    private Lock lock = new ReentrantLock();

    public String sale()
    {
        String retMessage = "";
        String key = "zzyyRedisLock";
        String uuidValue = IdUtil.simpleUUID()+":"+Thread.currentThread().getId();

        while(!stringRedisTemplate.opsForValue().setIfAbsent(key, uuidValue,30L,TimeUnit.SECONDS))
        {
            //暂停毫秒
            try { TimeUnit.MILLISECONDS.sleep(20); } catch (InterruptedException e) { e.printStackTrace(); }
        }

        try
        {
            //1 查询库存信息
            String result = stringRedisTemplate.opsForValue().get("inventory001");
            //2 判断库存是否足够
            Integer inventoryNumber = result == null ? 0 : Integer.parseInt(result);
            //3 扣减库存
            if(inventoryNumber > 0) {
                stringRedisTemplate.opsForValue().set("inventory001",String.valueOf(--inventoryNumber));
                retMessage = "成功卖出一个商品，库存剩余: "+inventoryNumber+"\t"+uuidValue;
                System.out.println(retMessage);
            }else{
                retMessage = "商品卖完了，o(╥﹏╥)o";
            }
        }finally {
            // v5.0判断加锁与解锁是不是同一个客户端，同一个才行，自己只能删除自己的锁，不误删他人的
            if(stringRedisTemplate.opsForValue().get(key).equalsIgnoreCase(uuidValue))
            {
                stringRedisTemplate.delete(key);
            }
        }
        return retMessage+"\t"+"服务端口号："+port;
    }
}

问题：finally块的判断+del删除操作不是原子性的

启用lua脚本编写redis分布式锁判断+删除判断代码

官网：https://redis.io/docs/reference/patterns/distributed-locks/

官方脚本：https://redis.io/docs/reference/patterns/distributed-locks/

Lua脚本初识：Redis调用Lua脚本通过eval命令保证代码执行的原子性，直接用return返回脚本执行后的结果值

eval luascript numkeys [key [key …]] [arg [arg …]]

helloworld入门：

2-set k1 v1 get k1

3-mset

Lua脚本进—步：

Redis分布式锁lua脚本官网练习

条件判断语法

条件判断案例

解决：

修改为6.0版code

package com.atguigu.redislock.service;

import cn.hutool.core.util.IdUtil;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.data.redis.core.StringRedisTemplate;
import org.springframework.data.redis.core.script.DefaultRedisScript;
import org.springframework.stereotype.Service;

import java.util.Arrays;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.locks.Lock;
import java.util.concurrent.locks.ReentrantLock;

/**
 * @auther zzyy
 * @create 2022-10-22 15:14
 */
@Service
@Slf4j
public class InventoryService
{
    @Autowired
    private StringRedisTemplate stringRedisTemplate;
    @Value("${server.port}")
    private String port;

    private Lock lock = new ReentrantLock();

    public String sale()
    {
        String retMessage = "";
        String key = "zzyyRedisLock";
        String uuidValue = IdUtil.simpleUUID()+":"+Thread.currentThread().getId();

        while(!stringRedisTemplate.opsForValue().setIfAbsent(key, uuidValue,30L,TimeUnit.SECONDS))
        {
            //暂停毫秒
                     try { TimeUnit.MILLISECONDS.sleep(20); } catch (InterruptedException e) { e.printStackTrace(); }
        }

        try
        {
            //1 查询库存信息
            String result = stringRedisTemplate.opsForValue().get("inventory001");
            //2 判断库存是否足够
            Integer inventoryNumber = result == null ? 0 : Integer.parseInt(result);
            //3 扣减库存
            if(inventoryNumber > 0) {
                stringRedisTemplate.opsForValue().set("inventory001",String.valueOf(--inventoryNumber));
                retMessage = "成功卖出一个商品，库存剩余: "+inventoryNumber+"\t"+uuidValue;
                System.out.println(retMessage);
            }else{
                retMessage = "商品卖完了，o(╥﹏╥)o";
            }
        }finally {
            //V6.0 将判断+删除自己的合并为lua脚本保证原子性
            String luaScript =
                    "if (redis.call('get',KEYS[1]) == ARGV[1]) then " +
                        "return redis.call('del',KEYS[1]) " +
                    "else " +
                        "return 0 " +
                    "end";
            stringRedisTemplate.execute(new DefaultRedisScript<>(luaScript, Boolean.class), Arrays.asList(key), uuidValue);
        }
        return retMessage+"\t"+"服务端口号："+port;
    }
}

bug说明

7.可重入锁+设计模式

当前代码为6.0版接上一步

while判断并自旋重试获取锁+setnx含自然过期时间+Lua脚本官网删除锁命令。

问题：如何兼顾锁的可重入性问题?

可重入锁(又名递归锁)：是指在同一个线程在外层方法获取锁的时候，再进入该线程的内层方法会自动获取锁(前提，锁对象得是同一个对象)，不会因为之前已经获取过还没释放而阻塞。如果是1个有 synchronized 修饰的递归调用方法，程序第2次进入被自己阻塞了岂不是天大的笑话，出现了作茧自缚。所以Java中ReentrantLock和synchronized都是可重入锁，可重入锁的一个优点是可一定程度避免死锁。

“可重入锁"这四个字分开来解释:可:可以。重:再次。入:进入。锁:同步锁。进入什么（进入同步域（即同步代码块/方法或显式锁锁定的代码)）。

—句话：一个线程中的多个流程可以获取同一把锁，持有这把同步锁可以再次进入。自己可以获取自己的内部锁

可重入锁种类：

1.隐式锁（即synchronized关键字使用的锁)默认是可重入锁

指的是可重复可递归调用的锁，在外层使用锁之后，在内层仍然可以使用，并且不发生死锁，这样的锁就叫做可重入锁。简单的来说就是：在一个synchronized修饰的方法或代码块的内部调用本类的其他synchronized修饰的方法或代码块时，是永远可以得到锁的。与可重入锁相反，不可重入锁不可递归调用，递归调用就发生死锁。

2.Synchronized的重入的实现机理

每个锁对象拥有一个锁计数器和一个指向持有该锁的线程的指针。当执行monitorenter时，如果目标锁对象的计数器为零，那么说明它没有被其他线程所持有，Java虚拟机会将该锁对象的持有线程设置为当前线程，并且将其计数器加1。在目标锁对象的计数器不为零的情况下，如果锁对象的持有线程是当前线程，那么 Java 虚拟机可以将其计数器加1，否则需要等待，直至持有线程释放该锁。当执行monitorexit时，Java虚拟机则需将锁对象的计数器减1。计数器为零代表锁已被释放。

3.显式锁(即Lock)也有ReentrantLock这样的可重入锁。

package com.atguigu.juc.senior.prepare;

import java.util.concurrent.locks.Lock;
import java.util.concurrent.locks.ReentrantLock;

/**
 * @auther zzyy
 * @create 2020-05-14 11:59
 * 在一个Synchronized修饰的方法或代码块的内部调用本类的其他Synchronized修饰的方法或代码块时，是永远可以得到锁的
 */
public class ReEntryLockDemo
{
    static Lock lock = new ReentrantLock();

    public static void main(String[] args)
    {
        new Thread(() -> {
            lock.lock();
            try
            {
                System.out.println("----外层调用lock");
                lock.lock();
                try
                {
                    System.out.println("----内层调用lock");
                }finally {
                    // 这里故意注释，实现加锁次数和释放次数不一样
                    // 由于加锁次数和释放次数不一样，第二个线程始终无法获取到锁，导致一直在等待。
                    lock.unlock(); // 正常情况，加锁几次就要解锁几次
                }
            }finally {
                lock.unlock();
            }
        },"a").start();

        new Thread(() -> {
            lock.lock();
            try
            {
                System.out.println("b thread----外层调用lock");
            }finally {
                lock.unlock();
            }
        },"b").start();

    }
}

思考+设计重点(一横—纵)：
目前有2条支线，目的是保证同一个时候只能有一个线程持有锁进去redis做扣减库存动作。
2个分支：
1.保证加锁/解锁，lock/unlock

2.扣减库存redis命令的原子性

lua脚本：

redis命令过程分析：

加锁lua脚本lock

先判断redis分布式锁这个key是否存在。EXISTS key。返回零说明不存在，hset新建当前线程属于自己的锁BY UUID:ThreadID

返回壹说明已经有锁，需进一步判断是不是当前线程自己的。HEXISTS key uuid:ThreadlD

返回零说明不是自己的，返回壹说明是自己的锁，自增1次表示重入

上述设计修改为Lua脚本：
V1

if redis.call('exists','key') == 0 then

  redis.call('hset','key','uuid:threadid',1)

  redis.call('expire','key',30)

  return 1

elseif redis.call('hexists','key','uuid:threadid') == 1 then

  redis.call('hincrby','key','uuid:threadid',1)

  redis.call('expire','key',30)

  return 1

else

  return 0

end

V2

if redis.call('exists','key') == 0 or redis.call('hexists','key','uuid:threadid') == 1 then

  redis.call('hincrby','key','uuid:threadid',1)

  redis.call('expire','key',30)

  return 1

else

  return 0

end

V3

if redis.call('exists',KEYS[1]) == 0 or redis.call('hexists',KEYS[1],ARGV[1]) == 1 then 

  redis.call('hincrby',KEYS[1],ARGV[1],1) 

  redis.call('expire',KEYS[1],ARGV[2]) 

  return 1 

else

  return 0

end

测试：

解锁lua脚本unlock：

设计思路:有锁且还是自己的锁。HEXISTS key uuid:ThreadlD

返回零，说明根本没有锁，程序块返回nil。不是零，说明有锁且是自己的锁，直接调用HINCRBY负一表示每次减个一，解锁一次。直到它变为零表示可以删除该锁Key,del锁key

上述设计修改为Lua脚本

V1

if redis.call('HEXISTS',lock,uuid:threadID) == 0 then

 return nil

elseif redis.call('HINCRBY',lock,uuid:threadID,-1) == 0 then

 return redis.call('del',lock)

else 

 return 0

end

V2

if redis.call('HEXISTS',KEYS[1],ARGV[1]) == 0 then

 return nil

elseif redis.call('HINCRBY',KEYS[1],ARGV[1],-1) == 0 then

 return redis.call('del',KEYS[1])

else

 return 0

end

测试

将上述lua脚本整合进入微服务Java程序：

复原程序为初始无锁版

package com.atguigu.redislock.service;

import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.data.redis.core.StringRedisTemplate;
import org.springframework.stereotype.Service;

/**
 * @auther zzyy
 * @create 2022-10-22 15:14
 */
@Service
@Slf4j
public class InventoryService
{
    @Autowired
    private StringRedisTemplate stringRedisTemplate;
    @Value("${server.port}")
    private String port;

    public String sale()
    {
        String retMessage = "";
        //1 查询库存信息
        String result = stringRedisTemplate.opsForValue().get("inventory001");
        //2 判断库存是否足够
        Integer inventoryNumber = result == null ? 0 : Integer.parseInt(result);
        //3 扣减库存
        if(inventoryNumber > 0) {
            stringRedisTemplate.opsForValue().set("inventory001",String.valueOf(--inventoryNumber));
            retMessage = "成功卖出一个商品，库存剩余: "+inventoryNumber+"\t";
            System.out.println(retMessage);
        }else{
            retMessage = "商品卖完了，o(╥﹏╥)o";
        }
        return retMessage+"\t"+"服务端口号："+port;
    }
}

新建RedisDistributedLock类并实现JUC里面的Lock接口
满足JUC里面AQS对Lock锁的接口规范定义来进行实现落地代码
结合设计模式开发属于自己的Redis分布式锁工具类：
lua脚本：加锁lock

if redis.call('exists',KEYS[1]) == 0 or redis.call('hexists',KEYS[1],ARGV[1]) == 1 then 

  redis.call('hincrby',KEYS[1],ARGV[1],1) 

  redis.call('expire',KEYS[1],ARGV[2]) 

  return 1 

else

  return 0

end

解锁unlock

if redis.call('HEXISTS',KEYS[1],ARGV[1]) == 0 then 

  return nil 

elseif redis.call('HINCRBY',KEYS[1],ARGV[1],-1) == 0 then 

  return redis.call('del',KEYS[1]) 

else 

  return 0

end

工厂设计模式引入:
通过实现UC里面的Lock接口，实现Redis分布式锁RedisDistributedLock

package com.atguigu.redislock.mylock;

import cn.hutool.core.util.IdUtil;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.StringRedisTemplate;
import org.springframework.data.redis.core.script.DefaultRedisScript;
import org.springframework.data.redis.support.collections.DefaultRedisList;
import org.springframework.stereotype.Component;

import java.util.Arrays;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.locks.Condition;
import java.util.concurrent.locks.Lock;

/**
 * @auther zzyy
 * @create 2022-10-18 18:32
 */
//@Component 引入DistributedLockFactory工厂模式，从工厂获得而不再从spring拿到
public class RedisDistributedLock implements Lock
{
    private StringRedisTemplate stringRedisTemplate;

    private String lockName;//KEYS[1]
    private String uuidValue;//ARGV[1]
    private long   expireTime;//ARGV[2]
    public RedisDistributedLock(StringRedisTemplate stringRedisTemplate, String lockName)
    {
        this.stringRedisTemplate = stringRedisTemplate;
        this.lockName = lockName;
        this.uuidValue = IdUtil.simpleUUID()+":"+Thread.currentThread().getId();//UUID:ThreadID
        this.expireTime = 30L;
    }
    @Override
    public void lock()
    {
        tryLock();
    }
    @Override
    public boolean tryLock()
    {
        try {tryLock(-1L,TimeUnit.SECONDS);} catch (InterruptedException e) {e.printStackTrace();}
        return false;
    }

    /**
     * 干活的，实现加锁功能，实现这一个干活的就OK，全盘通用
     * @param time
     * @param unit
     * @return
     * @throws InterruptedException
     */
    @Override
    public boolean tryLock(long time, TimeUnit unit) throws InterruptedException{
        if(time != -1L){
            this.expireTime = unit.toSeconds(time);
        }
        String script =
                "if redis.call('exists',KEYS[1]) == 0 or redis.call('hexists',KEYS[1],ARGV[1]) == 1 then " +
                        "redis.call('hincrby',KEYS[1],ARGV[1],1) " +
                        "redis.call('expire',KEYS[1],ARGV[2]) " +
                        "return 1 " +
                "else " +
                        "return 0 " +
                "end";

        System.out.println("script: "+script);
        System.out.println("lockName: "+lockName);
        System.out.println("uuidValue: "+uuidValue);
        System.out.println("expireTime: "+expireTime);

        while (!stringRedisTemplate.execute(new DefaultRedisScript<>(script,Boolean.class), Arrays.asList(lockName),uuidValue,String.valueOf(expireTime))) {
            TimeUnit.MILLISECONDS.sleep(50);
        }
        return true;
    }

    /**
     *干活的，实现解锁功能
     */
    @Override
    public void unlock()
    {
        String script =
                "if redis.call('HEXISTS',KEYS[1],ARGV[1]) == 0 then " +
                "   return nil " +
                "elseif redis.call('HINCRBY',KEYS[1],ARGV[1],-1) == 0 then " +
                "   return redis.call('del',KEYS[1]) " +
                "else " +
                "   return 0 " +
                "end";
        // nil = false 1 = true 0 = false
        System.out.println("lockName: "+lockName);
        System.out.println("uuidValue: "+uuidValue);
        System.out.println("expireTime: "+expireTime);
        Long flag = stringRedisTemplate.execute(new DefaultRedisScript<>(script, Long.class), Arrays.asList(lockName),uuidValue,String.valueOf(expireTime));
        if(flag == null)
        {
            throw new RuntimeException("This lock doesn't EXIST");
        }

    }

    //===下面的redis分布式锁暂时用不到=======================================
    //===下面的redis分布式锁暂时用不到=======================================
    //===下面的redis分布式锁暂时用不到=======================================
    @Override
    public void lockInterruptibly() throws InterruptedException
    {

    }

    @Override
    public Condition newCondition()
    {
        return null;
    }
}

InventoryService直接使用上面的代码设计，有什么问题

考虑扩展，本次是redis实现分布式锁，以后zookeeper、mysql实现呢??

引入工厂模式改造7.1版code

DistributedLockFactory

package com.atguigu.redislock.mylock;

import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.StringRedisTemplate;
import org.springframework.stereotype.Component;

import java.util.concurrent.locks.Lock;

/**
 * @auther zzyy
 * @create 2022-10-18 18:53
 */
@Component
public class DistributedLockFactory
{
    @Autowired
    private StringRedisTemplate stringRedisTemplate;
    private String lockName;

    public Lock getDistributedLock(String lockType)
    {
        if(lockType == null) return null;

        if(lockType.equalsIgnoreCase("REDIS")){
            lockName = "zzyyRedisLock";
            return new RedisDistributedLock(stringRedisTemplate,lockName);
        } else if(lockType.equalsIgnoreCase("ZOOKEEPER")){
            //TODO zookeeper版本的分布式锁实现
            return new ZookeeperDistributedLock();
        } else if(lockType.equalsIgnoreCase("MYSQL")){
            //TODO mysql版本的分布式锁实现
            return null;
        }

        return null;
    }
}

RedisDistributedLock

package com.atguigu.redislock.mylock;

import cn.hutool.core.util.IdUtil;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.StringRedisTemplate;
import org.springframework.data.redis.core.script.DefaultRedisScript;
import org.springframework.data.redis.support.collections.DefaultRedisList;
import org.springframework.stereotype.Component;

import java.util.Arrays;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.locks.Condition;
import java.util.concurrent.locks.Lock;

/**
 * @auther zzyy
 * @create 2022-10-18 18:32
 */
//@Component 引入DistributedLockFactory工厂模式，从工厂获得而不再从spring拿到
public class RedisDistributedLock implements Lock
{
    private StringRedisTemplate stringRedisTemplate;

    private String lockName;//KEYS[1]
    private String uuidValue;//ARGV[1]
    private long   expireTime;//ARGV[2]

    public RedisDistributedLock(StringRedisTemplate stringRedisTemplate, String lockName){
        this.stringRedisTemplate = stringRedisTemplate;
        this.lockName = lockName;
        this.uuidValue = IdUtil.simpleUUID()+":"+Thread.currentThread().getId();//UUID:ThreadID
        this.expireTime = 30L;
    }
    @Override
    public void lock(){
        tryLock();
    }
    @Override
    public boolean tryLock(){
        try {tryLock(-1L,TimeUnit.SECONDS);} catch (InterruptedException e) {e.printStackTrace();}
        return false;
    }

    /**
     * 干活的，实现加锁功能，实现这一个干活的就OK，全盘通用
     * @param time
     * @param unit
     * @return
     * @throws InterruptedException
     */
    @Override
    public boolean tryLock(long time, TimeUnit unit) throws InterruptedException{
        if(time != -1L){
            this.expireTime = unit.toSeconds(time);
        }
        String script =
                "if redis.call('exists',KEYS[1]) == 0 or redis.call('hexists',KEYS[1],ARGV[1]) == 1 then " +
                        "redis.call('hincrby',KEYS[1],ARGV[1],1) " +
                        "redis.call('expire',KEYS[1],ARGV[2]) " +
                        "return 1 " +
                "else " +
                        "return 0 " +
                "end";
        System.out.println("script: "+script);
        System.out.println("lockName: "+lockName);
        System.out.println("uuidValue: "+uuidValue);
        System.out.println("expireTime: "+expireTime);
        while (!stringRedisTemplate.execute(new DefaultRedisScript<>(script,Boolean.class), Arrays.asList(lockName),uuidValue,String.valueOf(expireTime))) {
            TimeUnit.MILLISECONDS.sleep(50);
        }
        return true;
    }

    /**
     *干活的，实现解锁功能
     */
    @Override
    public void unlock()
    {
        String script =
                "if redis.call('HEXISTS',KEYS[1],ARGV[1]) == 0 then " +
                "   return nil " +
                "elseif redis.call('HINCRBY',KEYS[1],ARGV[1],-1) == 0 then " +
                "   return redis.call('del',KEYS[1]) " +
                "else " +
                "   return 0 " +
                "end";
        // nil = false 1 = true 0 = false
        System.out.println("lockName: "+lockName);
        System.out.println("uuidValue: "+uuidValue);
        System.out.println("expireTime: "+expireTime);
        Long flag = stringRedisTemplate.execute(new DefaultRedisScript<>(script, Long.class), Arrays.asList(lockName),uuidValue,String.valueOf(expireTime));
        if(flag == null)
        {
            throw new RuntimeException("This lock doesn't EXIST");
        }

    }

    //===下面的redis分布式锁暂时用不到=======================================
    //===下面的redis分布式锁暂时用不到=======================================
    //===下面的redis分布式锁暂时用不到=======================================
    @Override
    public void lockInterruptibly() throws InterruptedException
    {

    }

    @Override
    public Condition newCondition()
    {
        return null;
    }
}

lnventoryService使用工厂模式版

package com.atguigu.redislock.service;

import ch.qos.logback.core.joran.conditional.ThenAction;
import cn.hutool.core.util.IdUtil;
import cn.hutool.core.util.StrUtil;
import com.atguigu.redislock.mylock.DistributedLockFactory;
import com.atguigu.redislock.mylock.RedisDistributedLock;
import lombok.extern.slf4j.Slf4j;
import org.omg.IOP.TAG_RMI_CUSTOM_MAX_STREAM_FORMAT;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.core.StringRedisTemplate;
import org.springframework.data.redis.core.script.DefaultRedisScript;
import org.springframework.stereotype.Service;

import java.util.Arrays;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.atomic.AtomicInteger;
import java.util.concurrent.locks.Lock;
import java.util.concurrent.locks.ReentrantLock;

/**
 * @auther zzyy
 * @create 2022-10-12 17:04
 */
@Service
@Slf4j
public class InventoryService
{
    @Autowired
    private StringRedisTemplate stringRedisTemplate;
    @Value("${server.port}")
    private String port;
    @Autowired
    private DistributedLockFactory distributedLockFactory;
    
    public String sale()
    {

        String retMessage = "";

        Lock redisLock = distributedLockFactory.getDistributedLock("redis");
        redisLock.lock();
        try
        {
            //1 查询库存信息
            String result = stringRedisTemplate.opsForValue().get("inventory001");
            //2 判断库存是否足够
            Integer inventoryNumber = result == null ? 0 : Integer.parseInt(result);
            //3 扣减库存
            if(inventoryNumber > 0)
            {
                inventoryNumber = inventoryNumber - 1;
                stringRedisTemplate.opsForValue().set("inventory001",String.valueOf(inventoryNumber));
                retMessage = "成功卖出一个商品，库存剩余: "+inventoryNumber+"\t服务端口:" +port;
                System.out.println(retMessage);
                return retMessage;
            }
            retMessage = "商品卖完了，o(╥﹏╥)o"+"\t服务端口:" +port;
        }catch (Exception e){
            e.printStackTrace();
        }finally {
            redisLock.unlock();
        }
        return retMessage;
    }
}

可重入性测试重点
lnventoryService类新增可重入测试方法

package com.atguigu.redislock.service;

import com.atguigu.redislock.mylock.DistributedLockFactory;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.data.redis.core.StringRedisTemplate;
import org.springframework.stereotype.Service;

import javax.annotation.Resource;
import java.util.concurrent.locks.Lock;

/**
 * @auther zzyy
 * @create 2022-10-30 12:28
 */
@Service
@Slf4j
public class InventoryService
{
    @Autowired
    private StringRedisTemplate stringRedisTemplate;
    @Value("${server.port}")
    private String port;
    @Autowired
    private DistributedLockFactory distributedLockFactory;

    public String sale()
    {
        String retMessage = "";
        Lock redisLock = distributedLockFactory.getDistributedLock("redis");
        redisLock.lock();
        try
        {
            //1 查询库存信息
            String result = stringRedisTemplate.opsForValue().get("inventory001");
            //2 判断库存是否足够
            Integer inventoryNumber = result == null ? 0 : Integer.parseInt(result);
            //3 扣减库存
            if(inventoryNumber > 0) {
                stringRedisTemplate.opsForValue().set("inventory001",String.valueOf(--inventoryNumber));
                retMessage = "成功卖出一个商品，库存剩余: "+inventoryNumber+"\t";
                System.out.println(retMessage);
                testReEnter();
            }else{
                retMessage = "商品卖完了，o(╥﹏╥)o";
            }
        }catch (Exception e){
            e.printStackTrace();
        }finally {
            redisLock.unlock();
        }
        return retMessage+"\t"+"服务端口号："+port;
    }

    private void testReEnter()
    {
        Lock redisLock = distributedLockFactory.getDistributedLock("redis");
        redisLock.lock();
        try
        {
            System.out.println("################测试可重入锁#######");
        }finally {
            redisLock.unlock();
        }
    }
}


/**

 //1 查询库存信息
 String result = stringRedisTemplate.opsForValue().get("inventory001");
 //2 判断库存是否足够
 Integer inventoryNumber = result == null ? 0 : Integer.parseInt(result);
 //3 扣减库存
 if(inventoryNumber > 0) {
 stringRedisTemplate.opsForValue().set("inventory001",String.valueOf(--inventoryNumber));
 retMessage = "成功卖出一个商品，库存剩余: "+inventoryNumber+"\t";
 System.out.println(retMessage);
 }else{
 retMessage = "商品卖完了，o(╥﹏╥)o";
 }
 */

测试：http://localhost:7777/inventory/sale

ThreadlD一致了但是UUID不OK

引入工厂模式改造7.2版code

DistributedLockFactory

package com.atguigu.redislock.mylock;

import cn.hutool.core.util.IdUtil;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.StringRedisTemplate;
import org.springframework.stereotype.Component;

import java.util.concurrent.locks.Lock;

/**
 * @auther zzyy
 * @create 2022-10-23 22:40
 */
@Component
public class DistributedLockFactory
{
    @Autowired
    private StringRedisTemplate stringRedisTemplate;
    private String lockName;
    private String uuidValue;

    public DistributedLockFactory()
    {
        this.uuidValue = IdUtil.simpleUUID();//UUID
    }

    public Lock getDistributedLock(String lockType)
    {
        if(lockType == null) return null;

        if(lockType.equalsIgnoreCase("REDIS")){
            lockName = "zzyyRedisLock";
            return new RedisDistributedLock(stringRedisTemplate,lockName,uuidValue);
        } else if(lockType.equalsIgnoreCase("ZOOKEEPER")){
            //TODO zookeeper版本的分布式锁实现
            return new ZookeeperDistributedLock();
        } else if(lockType.equalsIgnoreCase("MYSQL")){
            //TODO mysql版本的分布式锁实现
            return null;
        }
        return null;
    }
}

RedisDistributedLock

package com.atguigu.redislock.mylock;

import cn.hutool.core.util.IdUtil;
import lombok.SneakyThrows;
import org.springframework.data.redis.core.StringRedisTemplate;
import org.springframework.data.redis.core.script.DefaultRedisScript;

import java.util.Arrays;
import java.util.Timer;
import java.util.TimerTask;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.locks.Condition;
import java.util.concurrent.locks.Lock;

/**
 * @auther zzyy
 * @create 2022-10-23 22:36
 */
public class RedisDistributedLock implements Lock
{
    private StringRedisTemplate stringRedisTemplate;
    private String lockName;
    private String uuidValue;
    private long   expireTime;

    public RedisDistributedLock(StringRedisTemplate stringRedisTemplate, String lockName,String uuidValue)
    {
        this.stringRedisTemplate = stringRedisTemplate;
        this.lockName = lockName;
        this.uuidValue = uuidValue+":"+Thread.currentThread().getId();
        this.expireTime = 30L;
    }

    @Override
    public void lock()
    {
        this.tryLock();
    }
    @Override
    public boolean tryLock()
    {
        try
        {
            return this.tryLock(-1L,TimeUnit.SECONDS);
        } catch (InterruptedException e) {
            e.printStackTrace();
        }
        return false;
    }

    @Override
    public boolean tryLock(long time, TimeUnit unit) throws InterruptedException
    {
        if(time != -1L)
        {
            expireTime = unit.toSeconds(time);
        }

        String script =
                "if redis.call('exists',KEYS[1]) == 0 or redis.call('hexists',KEYS[1],ARGV[1]) == 1 then " +
                    "redis.call('hincrby',KEYS[1],ARGV[1],1) " +
                    "redis.call('expire',KEYS[1],ARGV[2]) " +
                    "return 1 " +
                "else " +
                    "return 0 " +
                "end";
        System.out.println("lockName: "+lockName+"\t"+"uuidValue: "+uuidValue);

        while (!stringRedisTemplate.execute(new DefaultRedisScript<>(script, Boolean.class), Arrays.asList(lockName), uuidValue, String.valueOf(expireTime)))
        {
            try { TimeUnit.MILLISECONDS.sleep(60); } catch (InterruptedException e) { e.printStackTrace(); }
        }

        return true;
    }

    @Override
    public void unlock()
    {
        String script =
                "if redis.call('HEXISTS',KEYS[1],ARGV[1]) == 0 then " +
                    "return nil " +
                "elseif redis.call('HINCRBY',KEYS[1],ARGV[1],-1) == 0 then " +
                    "return redis.call('del',KEYS[1]) " +
                "else " +
                        "return 0 " +
                "end";
        System.out.println("lockName: "+lockName+"\t"+"uuidValue: "+uuidValue);
        Long flag = stringRedisTemplate.execute(new DefaultRedisScript<>(script, Long.class), Arrays.asList(lockName), uuidValue, String.valueOf(expireTime));
        if(flag == null)
        {
            throw new RuntimeException("没有这个锁，HEXISTS查询无");
        }
    }

    //=========================================================
    @Override
    public void lockInterruptibly() throws InterruptedException
    {

    }
    @Override
    public Condition newCondition()
    {
        return null;
    }
}

lnventoryService类新增可重入测试方法

package com.atguigu.redislock.service;

import cn.hutool.core.util.IdUtil;
import com.atguigu.redislock.mylock.DistributedLockFactory;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.data.redis.core.StringRedisTemplate;
import org.springframework.data.redis.core.script.DefaultRedisScript;
import org.springframework.stereotype.Service;

import java.util.Arrays;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.locks.Lock;
import java.util.concurrent.locks.ReentrantLock;

/**
 * @auther zzyy
 * @create 2022-10-22 15:14
 */
@Service
@Slf4j
public class InventoryService
{
    @Autowired
    private StringRedisTemplate stringRedisTemplate;
    @Value("${server.port}")
    private String port;
    @Autowired
    private DistributedLockFactory distributedLockFactory;

    public String sale()
    {
        String retMessage = "";
        Lock redisLock = distributedLockFactory.getDistributedLock("redis");
        redisLock.lock();
        try
        {
            //1 查询库存信息
            String result = stringRedisTemplate.opsForValue().get("inventory001");
            //2 判断库存是否足够
            Integer inventoryNumber = result == null ? 0 : Integer.parseInt(result);
            //3 扣减库存
            if(inventoryNumber > 0) {
                stringRedisTemplate.opsForValue().set("inventory001",String.valueOf(--inventoryNumber));
                retMessage = "成功卖出一个商品，库存剩余: "+inventoryNumber;
                System.out.println(retMessage);
                this.testReEnter();
            }else{
                retMessage = "商品卖完了，o(╥﹏╥)o";
            }
        }catch (Exception e){
            e.printStackTrace();
        }finally {
            redisLock.unlock();
        }
        return retMessage+"\t"+"服务端口号："+port;
    }


    private void testReEnter()
    {
        Lock redisLock = distributedLockFactory.getDistributedLock("redis");
        redisLock.lock();
        try
        {
            System.out.println("################测试可重入锁####################################");
        }finally {
            redisLock.unlock();
        }
    }
}

单机+并发+可重入性，测试通过

8.自动续期

确保redisLock过期时间大于业务执行时间的问题。Redis分布式锁如何续期?

CAP：Consistency（强一致性）、Availability（可用性）、Partition tolerance（分区容错性）

Redis集群是AP：redis异步复制造成的锁丢失，比如:主节点没来的及把刚刚set进来这条数据给从节点，master就挂了，从机上位但从机上无该数据

Zookeeper集群是CP：

故障：

Eureka集群是AP：

Nacos集群是AP：

加个钟，lua脚本：

8.0版新增自动续期功能

修改为V8.0版程序

del掉之前的lockName zzyyRedisLock

RedisDistributedLock：

package com.atguigu.redislock.mylock;

import cn.hutool.core.util.IdUtil;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.StringRedisTemplate;
import org.springframework.data.redis.core.script.DefaultRedisScript;
import org.springframework.data.redis.support.collections.DefaultRedisList;
import org.springframework.stereotype.Component;

import java.util.Arrays;
import java.util.Timer;
import java.util.TimerTask;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.locks.Condition;
import java.util.concurrent.locks.Lock;

/**
 * @auther zzyy
 * @create 2022-10-18 18:32
 */
public class RedisDistributedLock implements Lock
{
    private StringRedisTemplate stringRedisTemplate;

    private String lockName;//KEYS[1]
    private String uuidValue;//ARGV[1]
    private long   expireTime;//ARGV[2]

    public RedisDistributedLock(StringRedisTemplate stringRedisTemplate,String lockName,String uuidValue)
    {
        this.stringRedisTemplate = stringRedisTemplate;
        this.lockName = lockName;
        this.uuidValue = uuidValue+":"+Thread.currentThread().getId();
        this.expireTime = 30L;
    }
    @Override
    public void lock()
    {
        tryLock();
    }

    @Override
    public boolean tryLock()
    {
        try {tryLock(-1L,TimeUnit.SECONDS);} catch (InterruptedException e) {e.printStackTrace();}
        return false;
    }

    /**
     * 干活的，实现加锁功能，实现这一个干活的就OK，全盘通用
     * @param time
     * @param unit
     * @return
     * @throws InterruptedException
     */
    @Override
    public boolean tryLock(long time, TimeUnit unit) throws InterruptedException
    {
        if(time != -1L)
        {
            this.expireTime = unit.toSeconds(time);
        }

        String script =
                "if redis.call('exists',KEYS[1]) == 0 or redis.call('hexists',KEYS[1],ARGV[1]) == 1 then " +
                        "redis.call('hincrby',KEYS[1],ARGV[1],1) " +
                        "redis.call('expire',KEYS[1],ARGV[2]) " +
                        "return 1 " +
                        "else " +
                        "return 0 " +
                        "end";

        System.out.println("script: "+script);
        System.out.println("lockName: "+lockName);
        System.out.println("uuidValue: "+uuidValue);
        System.out.println("expireTime: "+expireTime);

        while (!stringRedisTemplate.execute(new DefaultRedisScript<>(script,Boolean.class), Arrays.asList(lockName),uuidValue,String.valueOf(expireTime))) {
            TimeUnit.MILLISECONDS.sleep(50);
        }
        this.renewExpire();
        return true;
    }

    /**
     *干活的，实现解锁功能
     */
    @Override
    public void unlock()
    {
        String script =
                "if redis.call('HEXISTS',KEYS[1],ARGV[1]) == 0 then " +
                        "   return nil " +
                        "elseif redis.call('HINCRBY',KEYS[1],ARGV[1],-1) == 0 then " +
                        "   return redis.call('del',KEYS[1]) " +
                        "else " +
                        "   return 0 " +
                        "end";
        // nil = false 1 = true 0 = false
        System.out.println("lockName: "+lockName);
        System.out.println("uuidValue: "+uuidValue);
        System.out.println("expireTime: "+expireTime);
        Long flag = stringRedisTemplate.execute(new DefaultRedisScript<>(script, Long.class), Arrays.asList(lockName),uuidValue,String.valueOf(expireTime));
        if(flag == null)
        {
            throw new RuntimeException("This lock doesn't EXIST");
        }
    }

    private void renewExpire()
    {
        String script =
                "if redis.call('HEXISTS',KEYS[1],ARGV[1]) == 1 then " +
                        "return redis.call('expire',KEYS[1],ARGV[2]) " +
                        "else " +
                        "return 0 " +
                        "end";

        new Timer().schedule(new TimerTask()
        {
            @Override
            public void run()
            {
                if (stringRedisTemplate.execute(new DefaultRedisScript<>(script, Boolean.class), Arrays.asList(lockName),uuidValue,String.valueOf(expireTime))) {
                    renewExpire();
                }
            }
        },(this.expireTime * 1000)/3);
    }

    //===下面的redis分布式锁暂时用不到=======================================
    //===下面的redis分布式锁暂时用不到=======================================
    //===下面的redis分布式锁暂时用不到=======================================
    @Override
    public void lockInterruptibly() throws InterruptedException
    {

    }

    @Override
    public Condition newCondition()
    {
        return null;
    }
}

lnventoryService：

package com.atguigu.redislock.service;

import cn.hutool.core.util.IdUtil;
import com.atguigu.redislock.mylock.DistributedLockFactory;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.data.redis.core.StringRedisTemplate;
import org.springframework.data.redis.core.script.DefaultRedisScript;
import org.springframework.stereotype.Service;

import java.util.Arrays;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.locks.Lock;
import java.util.concurrent.locks.ReentrantLock;

/**
 * @auther zzyy
 * @create 2022-10-22 15:14
 */
@Service
@Slf4j
public class InventoryService
{
    @Autowired
    private StringRedisTemplate stringRedisTemplate;
    @Value("${server.port}")
    private String port;
    @Autowired
    private DistributedLockFactory distributedLockFactory;

    public String sale()
    {
        String retMessage = "";
        Lock redisLock = distributedLockFactory.getDistributedLock("redis");
        redisLock.lock();
        try
        {
            //1 查询库存信息
            String result = stringRedisTemplate.opsForValue().get("inventory001");
            //2 判断库存是否足够
            Integer inventoryNumber = result == null ? 0 : Integer.parseInt(result);
            //3 扣减库存
            if(inventoryNumber > 0) {
                stringRedisTemplate.opsForValue().set("inventory001",String.valueOf(--inventoryNumber));
                retMessage = "成功卖出一个商品，库存剩余: "+inventoryNumber;
                System.out.println(retMessage);
                //暂停几秒钟线程,为了测试自动续期
                try { TimeUnit.SECONDS.sleep(120); } catch (InterruptedException e) { e.printStackTrace(); }
            }else{
                retMessage = "商品卖完了，o(╥﹏╥)o";
            }
        }catch (Exception e){
            e.printStackTrace();
        }finally {
            redisLock.unlock();
        }
        return retMessage+"\t"+"服务端口号："+port;
    }


    private void testReEnter()
    {
        Lock redisLock = distributedLockFactory.getDistributedLock("redis");
        redisLock.lock();
        try
        {
            System.out.println("################测试可重入锁####################################");
        }finally {
            redisLock.unlock();
        }
    }
}

lnventoryService

package com.atguigu.redislock.service;

import cn.hutool.core.util.IdUtil;
import com.atguigu.redislock.mylock.DistributedLockFactory;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.data.redis.core.StringRedisTemplate;
import org.springframework.data.redis.core.script.DefaultRedisScript;
import org.springframework.stereotype.Service;

import java.util.Arrays;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.locks.Lock;
import java.util.concurrent.locks.ReentrantLock;

/**
 * @auther zzyy
 * @create 2022-10-22 15:14
 */
@Service
@Slf4j
public class InventoryService
{
    @Autowired
    private StringRedisTemplate stringRedisTemplate;
    @Value("${server.port}")
    private String port;
    @Autowired
    private DistributedLockFactory distributedLockFactory;

    public String sale()
    {
        String retMessage = "";
        Lock redisLock = distributedLockFactory.getDistributedLock("redis");
        redisLock.lock();
        try
        {
            //1 查询库存信息
            String result = stringRedisTemplate.opsForValue().get("inventory001");
            //2 判断库存是否足够
            Integer inventoryNumber = result == null ? 0 : Integer.parseInt(result);
            //3 扣减库存
            if(inventoryNumber > 0) {
                stringRedisTemplate.opsForValue().set("inventory001",String.valueOf(--inventoryNumber));
                retMessage = "成功卖出一个商品，库存剩余: "+inventoryNumber;
                System.out.println(retMessage);
                //暂停几秒钟线程,为了测试自动续期
                try { TimeUnit.SECONDS.sleep(120); } catch (InterruptedException e) { e.printStackTrace(); }
            }else{
                retMessage = "商品卖完了，o(╥﹏╥)o";
            }
        }catch (Exception e){
            e.printStackTrace();
        }finally {
            redisLock.unlock();
        }
        return retMessage+"\t"+"服务端口号："+port;
    }


    private void testReEnter()
    {
        Lock redisLock = distributedLockFactory.getDistributedLock("redis");
        redisLock.lock();
        try
        {
            System.out.println("################测试可重入锁####################################");
        }finally {
            redisLock.unlock();
        }
    }
}

记得去掉可重入测试testReEnter()。lnventoryService业务逻辑里面故意sleep一段时间测试自动续期

总结：
1.synchronized，单机版oK，上分布式死翘翘
2.nginx分布式微服务单机锁不行
3.取消单机锁,上redis分布式锁setnx
只加了锁，没有释放锁,出异常的话，可能无法释放锁,必须要在代码层面finally释放锁
宕机了，部署了微服务代码层面根本没有走到finally这块，没办法保证解锁，这个key没有被删除，
需要有lockKey的过期时间设定
为redis的分布式锁key，增加过期时间此外，还必须要setnx+过期时间必须同—行。必须规定只能自己删除自己的锁,你不能把别人的锁删除了,防止张冠李戴，1删2,2删3。unlock变为Lua脚本保证。锁重入，hset替代setnx+lock变为Lua脚本保证，自动续期

下一篇

Redis7实战加面试题-高阶篇（Redlock算法和底层源码分析）