java-spring基于redis单机版(redisTemplate)实现的分布式锁+redis消息队列,可用于秒杀,定时器,高并发,抢购
此教程不涉及整合 spring 整合 redis,可另行查阅资料教程。
代码:
RedisLock
package com.cashloan.analytics.utils;import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.RedisCallback;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.serializer.StringRedisSerializer;
import org.springframework.stereotype.Component;@Component
public class RedisLock {
private static Logger logger = LoggerFactory.getLogger(RedisLock.class);
private static final int DEFAULT_ACQUIRY_RESOLUTION_MILLIS = 100;
public static final String LOCK_PREFIX = "redis_lock_";String oldValueStr = this.getSet(lockKey, expiresStr); // 获取上一个锁到期时间,并设置现在的锁到期时间, // 只有一个线程才能获取上一个线上的设置时间,因为 jedis.getSet 是同步的 if (oldValueStr != null && oldValueStr.equals(currentValueStr)) { // 防止误删(覆盖,因为 key 是相同的)了他人的锁——这里达不到效果,这里值会被覆盖,但是因为什么相差了很少的时间,所以可以接受@Autowired </span><span style="color: rgba(0, 0, 255, 1)">private</span> RedisTemplate<String, Object><span style="color: rgba(0, 0, 0, 1)"> redisTemplate; </span><span style="color: rgba(0, 128, 0, 1)">/**</span><span style="color: rgba(0, 128, 0, 1)"> * 锁超时时间,防止线程在入锁以后,无限的执行等待 </span><span style="color: rgba(0, 128, 0, 1)">*/</span> <span style="color: rgba(0, 0, 255, 1)">private</span> <span style="color: rgba(0, 0, 255, 1)">int</span> expireMsecs = 60 * 1000<span style="color: rgba(0, 0, 0, 1)">; </span><span style="color: rgba(0, 128, 0, 1)">/**</span><span style="color: rgba(0, 128, 0, 1)"> * 锁等待时间,防止线程饥饿 </span><span style="color: rgba(0, 128, 0, 1)">*/</span> <span style="color: rgba(0, 0, 255, 1)">private</span> <span style="color: rgba(0, 0, 255, 1)">int</span> timeoutMsecs = 10 * 1000<span style="color: rgba(0, 0, 0, 1)">; </span><span style="color: rgba(0, 0, 255, 1)">public</span> String get(<span style="color: rgba(0, 0, 255, 1)">final</span><span style="color: rgba(0, 0, 0, 1)"> String key) { Object obj </span>= <span style="color: rgba(0, 0, 255, 1)">null</span><span style="color: rgba(0, 0, 0, 1)">; </span><span style="color: rgba(0, 0, 255, 1)">try</span><span style="color: rgba(0, 0, 0, 1)"> { obj </span>= redisTemplate.execute((RedisCallback<Object>) connection -><span style="color: rgba(0, 0, 0, 1)"> { StringRedisSerializer serializer </span>= <span style="color: rgba(0, 0, 255, 1)">new</span><span style="color: rgba(0, 0, 0, 1)"> StringRedisSerializer(); </span><span style="color: rgba(0, 0, 255, 1)">byte</span>[] data =<span style="color: rgba(0, 0, 0, 1)"> connection.get(serializer.serialize(key)); connection.close(); </span><span style="color: rgba(0, 0, 255, 1)">if</span> (data == <span style="color: rgba(0, 0, 255, 1)">null</span><span style="color: rgba(0, 0, 0, 1)">) { </span><span style="color: rgba(0, 0, 255, 1)">return</span> <span style="color: rgba(0, 0, 255, 1)">null</span><span style="color: rgba(0, 0, 0, 1)">; } </span><span style="color: rgba(0, 0, 255, 1)">return</span><span style="color: rgba(0, 0, 0, 1)"> serializer.deserialize(data); }); } </span><span style="color: rgba(0, 0, 255, 1)">catch</span><span style="color: rgba(0, 0, 0, 1)"> (Exception e) { logger.error(</span>"get redis error, key : {}"<span style="color: rgba(0, 0, 0, 1)">, key); } </span><span style="color: rgba(0, 0, 255, 1)">return</span> obj != <span style="color: rgba(0, 0, 255, 1)">null</span> ? obj.toString() : <span style="color: rgba(0, 0, 255, 1)">null</span><span style="color: rgba(0, 0, 0, 1)">; } </span><span style="color: rgba(0, 0, 255, 1)">public</span> <span style="color: rgba(0, 0, 255, 1)">boolean</span> setNX(<span style="color: rgba(0, 0, 255, 1)">final</span> String key, <span style="color: rgba(0, 0, 255, 1)">final</span><span style="color: rgba(0, 0, 0, 1)"> String value) { Object obj </span>= <span style="color: rgba(0, 0, 255, 1)">null</span><span style="color: rgba(0, 0, 0, 1)">; </span><span style="color: rgba(0, 0, 255, 1)">try</span><span style="color: rgba(0, 0, 0, 1)"> { obj </span>= redisTemplate.execute((RedisCallback<Object>) connection -><span style="color: rgba(0, 0, 0, 1)"> { StringRedisSerializer serializer </span>= <span style="color: rgba(0, 0, 255, 1)">new</span><span style="color: rgba(0, 0, 0, 1)"> StringRedisSerializer(); Boolean success </span>=<span style="color: rgba(0, 0, 0, 1)"> connection.setNX(serializer.serialize(key), serializer.serialize(value)); connection.close(); </span><span style="color: rgba(0, 0, 255, 1)">return</span><span style="color: rgba(0, 0, 0, 1)"> success; }); } </span><span style="color: rgba(0, 0, 255, 1)">catch</span><span style="color: rgba(0, 0, 0, 1)"> (Exception e) { logger.error(</span>"setNX redis error, key : {}"<span style="color: rgba(0, 0, 0, 1)">, key); } </span><span style="color: rgba(0, 0, 255, 1)">return</span> obj != <span style="color: rgba(0, 0, 255, 1)">null</span> ? (Boolean) obj : <span style="color: rgba(0, 0, 255, 1)">false</span><span style="color: rgba(0, 0, 0, 1)">; } </span><span style="color: rgba(0, 0, 255, 1)">private</span> String getSet(<span style="color: rgba(0, 0, 255, 1)">final</span> String key, <span style="color: rgba(0, 0, 255, 1)">final</span><span style="color: rgba(0, 0, 0, 1)"> String value) { Object obj </span>= <span style="color: rgba(0, 0, 255, 1)">null</span><span style="color: rgba(0, 0, 0, 1)">; </span><span style="color: rgba(0, 0, 255, 1)">try</span><span style="color: rgba(0, 0, 0, 1)"> { obj </span>= redisTemplate.execute((RedisCallback<Object>) connection -><span style="color: rgba(0, 0, 0, 1)"> { StringRedisSerializer serializer </span>= <span style="color: rgba(0, 0, 255, 1)">new</span><span style="color: rgba(0, 0, 0, 1)"> StringRedisSerializer(); </span><span style="color: rgba(0, 0, 255, 1)">byte</span>[] ret =<span style="color: rgba(0, 0, 0, 1)"> connection.getSet(serializer.serialize(key), serializer.serialize(value)); connection.close(); </span><span style="color: rgba(0, 0, 255, 1)">return</span><span style="color: rgba(0, 0, 0, 1)"> serializer.deserialize(ret); }); } </span><span style="color: rgba(0, 0, 255, 1)">catch</span><span style="color: rgba(0, 0, 0, 1)"> (Exception e) { logger.error(</span>"setNX redis error, key : {}"<span style="color: rgba(0, 0, 0, 1)">, key); } </span><span style="color: rgba(0, 0, 255, 1)">return</span> obj != <span style="color: rgba(0, 0, 255, 1)">null</span> ? (String) obj : <span style="color: rgba(0, 0, 255, 1)">null</span><span style="color: rgba(0, 0, 0, 1)">; } </span><span style="color: rgba(0, 128, 0, 1)">/**</span><span style="color: rgba(0, 128, 0, 1)"> * 获得 lock. 实现思路: 主要是使用了redis 的setnx命令,缓存了锁. reids缓存的key是锁的key,所有的共享, * value是锁的到期时间(注意:这里把过期时间放在value了,没有时间上设置其超时时间) 执行过程: * 1.通过setnx尝试设置某个key的值,成功(当前没有这个锁)则返回,成功获得锁 * 2.锁已经存在则获取锁的到期时间,和当前时间比较,超时的话,则设置新的值 * * </span><span style="color: rgba(128, 128, 128, 1)">@return</span><span style="color: rgba(0, 128, 0, 1)"> true if lock is acquired, false acquire timeouted * </span><span style="color: rgba(128, 128, 128, 1)">@throws</span><span style="color: rgba(0, 128, 0, 1)"> InterruptedException * in case of thread interruption </span><span style="color: rgba(0, 128, 0, 1)">*/</span> <span style="color: rgba(0, 0, 255, 1)">public</span> <span style="color: rgba(0, 0, 255, 1)">boolean</span> lock(String lockKey) <span style="color: rgba(0, 0, 255, 1)">throws</span><span style="color: rgba(0, 0, 0, 1)"> InterruptedException { lockKey </span>= LOCK_PREFIX +<span style="color: rgba(0, 0, 0, 1)"> lockKey; </span><span style="color: rgba(0, 0, 255, 1)">int</span> timeout =<span style="color: rgba(0, 0, 0, 1)"> timeoutMsecs; </span><span style="color: rgba(0, 0, 255, 1)">while</span> (timeout >= 0<span style="color: rgba(0, 0, 0, 1)">) { </span><span style="color: rgba(0, 0, 255, 1)">long</span> expires = System.currentTimeMillis() + expireMsecs + 1<span style="color: rgba(0, 0, 0, 1)">; String expiresStr </span>= String.valueOf(expires); <span style="color: rgba(0, 128, 0, 1)">//</span><span style="color: rgba(0, 128, 0, 1)"> 锁到期时间</span> <span style="color: rgba(0, 0, 255, 1)">if</span> (<span style="color: rgba(0, 0, 255, 1)">this</span><span style="color: rgba(0, 0, 0, 1)">.setNX(lockKey, expiresStr)) { </span><span style="color: rgba(0, 0, 255, 1)">return</span> <span style="color: rgba(0, 0, 255, 1)">true</span><span style="color: rgba(0, 0, 0, 1)">; } String currentValueStr </span>= <span style="color: rgba(0, 0, 255, 1)">this</span>.get(lockKey); <span style="color: rgba(0, 128, 0, 1)">//</span><span style="color: rgba(0, 128, 0, 1)"> redis里的时间</span> <span style="color: rgba(0, 0, 255, 1)">if</span> (currentValueStr != <span style="color: rgba(0, 0, 255, 1)">null</span> && Long.parseLong(currentValueStr) <<span style="color: rgba(0, 0, 0, 1)"> System.currentTimeMillis()) { </span><span style="color: rgba(0, 128, 0, 1)">//</span><span style="color: rgba(0, 128, 0, 1)"> 判断是否为空,不为空的情况下,如果被其他线程设置了值,则第二个条件判断是过不去的 </span><span style="color: rgba(0, 128, 0, 1)">//</span><span style="color: rgba(0, 128, 0, 1)"> lock is expired</span>
</span><span style="color: rgba(0, 128, 0, 1)">//</span><span style="color: rgba(0, 128, 0, 1)"> [分布式的情况下]:如过这个时候,多个线程恰好都到了这里,但是只有一个线程的设置值和当前值相同,他才有权利获取锁</span> <span style="color: rgba(0, 0, 255, 1)">return</span> <span style="color: rgba(0, 0, 255, 1)">true</span><span style="color: rgba(0, 0, 0, 1)">; } } timeout </span>-=<span style="color: rgba(0, 0, 0, 1)"> DEFAULT_ACQUIRY_RESOLUTION_MILLIS; </span><span style="color: rgba(0, 128, 0, 1)">/*</span><span style="color: rgba(0, 128, 0, 1)"> * 延迟100 毫秒, 这里使用随机时间可能会好一点,可以防止饥饿进程的出现,即,当同时到达多个进程, * 只会有一个进程获得锁,其他的都用同样的频率进行尝试,后面有来了一些进行,也以同样的频率申请锁,这将可能导致前面来的锁得不到满足. * 使用随机的等待时间可以一定程度上保证公平性 </span><span style="color: rgba(0, 128, 0, 1)">*/</span><span style="color: rgba(0, 0, 0, 1)"> Thread.sleep(DEFAULT_ACQUIRY_RESOLUTION_MILLIS); } </span><span style="color: rgba(0, 0, 255, 1)">return</span> <span style="color: rgba(0, 0, 255, 1)">false</span><span style="color: rgba(0, 0, 0, 1)">; } </span><span style="color: rgba(0, 128, 0, 1)">/**</span><span style="color: rgba(0, 128, 0, 1)"> * Acqurired lock release. </span><span style="color: rgba(0, 128, 0, 1)">*/</span> <span style="color: rgba(0, 0, 255, 1)">public</span> <span style="color: rgba(0, 0, 255, 1)">void</span><span style="color: rgba(0, 0, 0, 1)"> unlock(String lockKey) { lockKey </span>= LOCK_PREFIX +<span style="color: rgba(0, 0, 0, 1)"> lockKey; redisTemplate.delete(lockKey); }
}
redis 消息队列:RedisQueue
package com.cashloan.analytics.utils;import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.stereotype.Component;import java.util.List;
import java.util.concurrent.TimeUnit;/**
redis 消息队列
*/
@Component
public class RedisQueue {
@Autowired
private RedisTemplate<String, Object> redisTemplate;/ ---------------------------------- redis 消息队列 ---------------------------------- */
/
- 存值
- @param key 键
- @param value 值
- @return
*/
public boolean lpush(String key, Object value) {
try {
redisTemplate.opsForList().leftPush(key, value);
return true;
} catch (Exception e) {
e.printStackTrace();
return false;
}
}/**
- 取值 - <rpop:非阻塞式 >
- @param key 键
- @return
*/
public Object rpop(String key) {
try {
return redisTemplate.opsForList().rightPop(key);
} catch (Exception e) {
e.printStackTrace();
return null;
}
}/**
- 取值 - <brpop:阻塞式 > - 推荐使用
- @param key 键
- @param timeout 超时时间
- @param timeUnit 给定单元粒度的时间段
TimeUnit.DAYS //天
TimeUnit.HOURS //小时
TimeUnit.MINUTES //分钟
TimeUnit.SECONDS //秒
TimeUnit.MILLISECONDS //毫秒
- @return
*/
public Object brpop(String key, long timeout, TimeUnit timeUnit) {
try {
return redisTemplate.opsForList().rightPop(key, timeout, timeUnit);
} catch (Exception e) {
e.printStackTrace();
return null;
}
}/**
- 查看值
- @param key 键
- @param start 开始
- @param end 结束 0 到 -1 代表所有值
- @return
*/
public List<Object> lrange(String key, long start, long end) {
try {
return redisTemplate.opsForList().range(key, start, end);
} catch (Exception e) {
e.printStackTrace();
return null;
}
}}
测试类 controller:Test
package com.cashloan.analytics.controller;import com.cashloan.analytics.utils.RedisLock;
import com.cashloan.analytics.utils.RedisQueue;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;import java.util.*;
@RestController
@RequestMapping("/test")
public class Test {
private final static String MESSAGE = "testmq";
@Autowired
private RedisQueue redisQueue;
@Autowired
private RedisLock redisLock;@GetMapping(</span>"/add"<span style="color: rgba(0, 0, 0, 1)">) </span><span style="color: rgba(0, 0, 255, 1)">public</span><span style="color: rgba(0, 0, 0, 1)"> String add() { String uuid </span>= UUID.randomUUID().toString().replaceAll("-", ""<span style="color: rgba(0, 0, 0, 1)">); Map map </span>= <span style="color: rgba(0, 0, 255, 1)">new</span><span style="color: rgba(0, 0, 0, 1)"> HashMap(); map.put(</span>"id"<span style="color: rgba(0, 0, 0, 1)">, uuid); </span><span style="color: rgba(0, 128, 0, 1)">//</span><span style="color: rgba(0, 128, 0, 1)"> 加入redis消息队列</span>
redisQueue.lpush(MESSAGE, map);
addBatch();
return "success";
}</span><span style="color: rgba(0, 0, 255, 1)">public</span> <span style="color: rgba(0, 0, 255, 1)">void</span><span style="color: rgba(0, 0, 0, 1)"> addBatch() { </span><span style="color: rgba(0, 0, 255, 1)">try</span><span style="color: rgba(0, 0, 0, 1)"> { </span><span style="color: rgba(0, 0, 255, 1)">if</span><span style="color: rgba(0, 0, 0, 1)"> (redisLock.lock(MESSAGE)) { List</span><Object> lrange = redisQueue.lrange(MESSAGE, 0, -1<span style="color: rgba(0, 0, 0, 1)">); </span><span style="color: rgba(0, 0, 255, 1)">int</span> size =<span style="color: rgba(0, 0, 0, 1)"> lrange.size(); </span><span style="color: rgba(0, 0, 255, 1)">if</span> (size >= 10<span style="color: rgba(0, 0, 0, 1)">) { List</span><Map> maps = <span style="color: rgba(0, 0, 255, 1)">new</span> ArrayList<><span style="color: rgba(0, 0, 0, 1)">(); </span><span style="color: rgba(0, 0, 255, 1)">for</span> (<span style="color: rgba(0, 0, 255, 1)">int</span> i = 0; i < size; i++<span style="color: rgba(0, 0, 0, 1)">) { Object brpop </span>=<span style="color: rgba(0, 0, 0, 1)"> redisQueue.rpop(MESSAGE); </span><span style="color: rgba(0, 0, 255, 1)">if</span> (brpop != <span style="color: rgba(0, 0, 255, 1)">null</span><span style="color: rgba(0, 0, 0, 1)">) { maps.add((Map) brpop); } } </span><span style="color: rgba(0, 128, 0, 1)">//</span><span style="color: rgba(0, 128, 0, 1)"> 记录数据</span> <span style="color: rgba(0, 0, 255, 1)">if</span> (!<span style="color: rgba(0, 0, 0, 1)">maps.isEmpty()) { </span><span style="color: rgba(0, 0, 255, 1)">for</span> (<span style="color: rgba(0, 0, 255, 1)">int</span> i = 0; i < maps.size(); i++<span style="color: rgba(0, 0, 0, 1)">) { System.out.println(maps.get(i).get(</span>"id"<span style="color: rgba(0, 0, 0, 1)">)); Thread.sleep(</span>100<span style="color: rgba(0, 0, 0, 1)">); } } } } } </span><span style="color: rgba(0, 0, 255, 1)">catch</span><span style="color: rgba(0, 0, 0, 1)"> (InterruptedException e) { e.printStackTrace(); } </span><span style="color: rgba(0, 0, 255, 1)">finally</span><span style="color: rgba(0, 0, 0, 1)"> { redisLock.unlock(MESSAGE); } }
}
另有一份模拟高并发多线程请求的工具 (python3):
# -*- coding: utf-8 -*- import requests import threadingclass postrequests():
def init(self):
self.url = 'http://localhost:9090/test/add'
def post(self):
try:
r = requests.get(self.url)
print(r.text)
except Exception as e:
print(e)def test():
test = postrequests()
return test.post()
try:
i = 0
# 开启线程数目
tasks_number = 105
print('测试启动')
while i < tasks_number:
t = threading.Thread(target=test)
t.start()
i += 1
except Exception as e:
print(e)