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本篇內(nèi)容主要講解“怎么用springboot+zookeeper實現(xiàn)分布式鎖”,感興趣的朋友不妨來看看。本文介紹的方法操作簡單快捷,實用性強。下面就讓小編來帶大家學(xué)習(xí)“怎么用springboot+zookeeper實現(xiàn)分布式鎖”吧!
InterProcessMutex內(nèi)部實現(xiàn)了zookeeper分布式鎖的機制,所以接下來我們嘗試使用這個工具來為我們的業(yè)務(wù)加上分布式鎖處理的功能
zookeeper分布式鎖的特點:1、分布式 2、公平鎖 3、可重入
<dependency> <groupId>org.apache.zookeeper</groupId> <artifactId>zookeeper</artifactId> <version>3.4.10</version> </dependency> <!-- zookeeper 客戶端 --> <dependency> <groupId>org.apache.curator</groupId> <artifactId>curator-framework</artifactId> <version>2.12.0</version> </dependency> <dependency> <groupId>org.apache.curator</groupId> <artifactId>curator-recipes</artifactId> <version>2.12.0</version> </dependency> <!-- lombok --> <dependency> <groupId>org.projectlombok</groupId> <artifactId>lombok</artifactId> <version>1.18.16</version> <scope>provided</scope> </dependency>
這個工具類主要封裝CuratorFramework這個client(連接Zookeeper)
@Slf4j public class CuratorClientUtil { private String zookeeperServer; @Getter private CuratorFramework client; public CuratorClientUtil(String zookeeperServer) { this.zookeeperServer = zookeeperServer; } // 創(chuàng)建CuratorFrameworkFactory并且啟動 public void init() { // 重試策略,等待1s,最大重試3次 RetryPolicy retryPolicy = new ExponentialBackoffRetry(1000,3); this.client = CuratorFrameworkFactory.builder() .connectString(zookeeperServer) .sessionTimeoutMs(5000) .connectionTimeoutMs(5000) .retryPolicy(retryPolicy) .build(); this.client.start(); } // 容器關(guān)閉,CuratorFrameworkFactory關(guān)閉 public void destroy() { try { if (Objects.nonNull(getClient())) { getClient().close(); } } catch (Exception e) { log.info("CuratorFramework close error=>{}", e.getMessage()); } } }
@Configuration public class CuratorConfigration { @Value("${zookeeper.server}") private String zookeeperServer; // 注入時,指定initMethod和destroyMethod @Bean(initMethod = "init", destroyMethod = "destroy") public CuratorClientUtil curatorClientUtil() { CuratorClientUtil clientUtil = new CuratorClientUtil(zookeeperServer); return clientUtil; } }
模擬不同客戶端的請求
@Slf4j @RestController @RequestMapping("/test") public class TestController { // 注入client工具類 @Autowired private CuratorClientUtil curatorClientUtil; // 在zookeeper的/rootLock節(jié)點下創(chuàng)建鎖對應(yīng)的臨時有序節(jié)點 private String rootLock = "/rootLock"; @GetMapping("/testLock") public Object testLock() throws Exception { // 獲取當(dāng)前線程的名字,方便觀察那些線程在獲取鎖 String threadName = Thread.currentThread().getName(); InterProcessMutex mutex = new InterProcessMutex(curatorClientUtil.getClient(), rootLock); try { log.info("{}---獲取鎖start", threadName); // 嘗試獲取鎖,最長等待3s,超時放棄獲取 boolean lockFlag = mutex.acquire(3000, TimeUnit.SECONDS); // 獲取鎖成功,進(jìn)行業(yè)務(wù)處理 if (lockFlag) { log.info("{}---獲取鎖success", threadName); // 模擬業(yè)務(wù)處理,時間為3s Thread.sleep(3000); } else { log.info("{}---獲取鎖fail", threadName); } } catch (Exception e) { log.info("{}---獲取鎖異常", threadName); } finally { // 業(yè)務(wù)處理完成,釋放鎖,喚醒比當(dāng)前線程創(chuàng)建的節(jié)點序號大(最靠近)的線程獲取鎖 mutex.release(); log.info("{}---鎖release", threadName); } return "線程:" + threadName + "執(zhí)行完成"; } }
我們使用JMeter模擬100個客戶端同時并發(fā)的訪問 localhost:8081/test/testLock,相當(dāng)于100個客戶端爭搶分布式鎖,結(jié)果如圖右上角所示,100個請求花了5分6s,每個線程獲取到鎖后業(yè)務(wù)處理3s,100個線程理想時間為300s(Thread.sleep(3000)),所以運行時間符合。
zookeeper每個線程在/rooLock節(jié)點下創(chuàng)建的臨時有序節(jié)點如下圖,由于是臨時的,所以線程釋放鎖后這些節(jié)點也會刪除
100個線程程序日志打印
到此,相信大家對“怎么用springboot+zookeeper實現(xiàn)分布式鎖”有了更深的了解,不妨來實際操作一番吧!這里是億速云網(wǎng)站,更多相關(guān)內(nèi)容可以進(jìn)入相關(guān)頻道進(jìn)行查詢,關(guān)注我們,繼續(xù)學(xué)習(xí)!
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