SpringBoot?項目中創(chuàng)建線程池
前言:
前兩天做項目的時候,想提高一下插入表的性能優(yōu)化,因為是兩張表,先插舊的表,緊接著插新的表,一萬多條數(shù)據(jù)就有點慢了
后面就想到了線程池
ThreadPoolExecutor,而用的是Spring Boot項目,可以用Spring提供的對ThreadPoolExecutor封裝的線程池ThreadPoolTaskExecutor,直接使用注解啟用
使用步驟:
先創(chuàng)建一個線程池的配置,讓Spring Boot加載,用來定義如何創(chuàng)建一個ThreadPoolTaskExecutor,要使用@Configuration和@EnableAsync這兩個注解,表示這是個配置類,并且是線程池的配置類
@Configuration
@EnableAsync
public?class?ExecutorConfig?{
????private?static?final?Logger?logger?=?LoggerFactory.getLogger(ExecutorConfig.class);
????@Value("${async.executor.thread.core_pool_size}")
????private?int?corePoolSize;
????@Value("${async.executor.thread.max_pool_size}")
????private?int?maxPoolSize;
????@Value("${async.executor.thread.queue_capacity}")
????private?int?queueCapacity;
????@Value("${async.executor.thread.name.prefix}")
????private?String?namePrefix;
????@Bean(name?=?"asyncServiceExecutor")
????public?Executor?asyncServiceExecutor()?{
????????logger.info("start?asyncServiceExecutor");
????????ThreadPoolTaskExecutor?executor?=?new?ThreadPoolTaskExecutor();
????????//配置核心線程數(shù)
????????executor.setCorePoolSize(corePoolSize);
????????//配置最大線程數(shù)
????????executor.setMaxPoolSize(maxPoolSize);
????????//配置隊列大小
????????executor.setQueueCapacity(queueCapacity);
????????//配置線程池中的線程的名稱前綴
????????executor.setThreadNamePrefix(namePrefix);
????????// rejection-policy:當pool已經(jīng)達到max size的時候,如何處理新任務
????????// CALLER_RUNS:不在新線程中執(zhí)行任務,而是有調(diào)用者所在的線程來執(zhí)行
????????executor.setRejectedExecutionHandler(new?ThreadPoolExecutor.CallerRunsPolicy());
????????//執(zhí)行初始化
????????executor.initialize();
????????return?executor;
????}
}@Value是我配置在application.properties,可以參考配置,自由定義
>?推薦下自己做的 Spring Cloud 的實戰(zhàn)項目: > >?<https://github.com/YunaiV/onemall> #?異步線程配置 #?配置核心線程數(shù) async.executor.thread.core_pool_size?=?5 #?配置最大線程數(shù) async.executor.thread.max_pool_size?=?5 #?配置隊列大小 async.executor.thread.queue_capacity?=?99999 #?配置線程池中的線程的名稱前綴 async.executor.thread.name.prefix?=?async-service-
創(chuàng)建一個Service接口,是異步線程的接口
public?interface?AsyncService?{
????/**?*?執(zhí)行異步任務?*?可以根據(jù)需求,自己加參數(shù)擬定,我這里就做個測試演示?*/
????void?executeAsync();
}實現(xiàn)類:
@Service
public?class?AsyncServiceImpl?implements?AsyncService?{
????private?static?final?Logger?logger?=?LoggerFactory.getLogger(AsyncServiceImpl.class);
????@Override
????@Async("asyncServiceExecutor")
????public?void?executeAsync()?{
????????logger.info("start?executeAsync");
????????System.out.println("異步線程要做的事情");
????????System.out.println("可以在這里執(zhí)行批量插入等耗時的事情");
????????logger.info("end?executeAsync");
????}
}
將Service層的服務異步化,在executeAsync()方法上增加注解@Async("asyncServiceExecutor"),asyncServiceExecutor方法是前面ExecutorConfig.java 中的方法名,表明executeAsync方法進入的線程池是asyncServiceExecutor方法創(chuàng)建的
接下來就是在Controller里或者是哪里通過注解@Autowired注入這個Service
@Autowired
private?AsyncService?asyncService;
@GetMapping("/async")
public?void?async(){
????asyncService.executeAsync();
}用postmain或者其他工具來多次測試請求一下
2018-07-16 22:15:47.655 INFO 10516 --- [async-service-5] c.u.d.e.executor.impl.AsyncServiceImpl : start executeAsync
異步線程要做的事情
可以在這里執(zhí)行批量插入等耗時的事情
2018-07-16 22:15:47.655 INFO 10516 --- [async-service-5] c.u.d.e.executor.impl.AsyncServiceImpl : end executeAsync
2018-07-16 22:15:47.770 INFO 10516 --- [async-service-1] c.u.d.e.executor.impl.AsyncServiceImpl : start executeAsync
異步線程要做的事情
可以在這里執(zhí)行批量插入等耗時的事情
2018-07-16 22:15:47.770 INFO 10516 --- [async-service-1] c.u.d.e.executor.impl.AsyncServiceImpl : end executeAsync
2018-07-16 22:15:47.816 INFO 10516 --- [async-service-2] c.u.d.e.executor.impl.AsyncServiceImpl : start executeAsync
異步線程要做的事情
可以在這里執(zhí)行批量插入等耗時的事情
2018-07-16 22:15:47.816 INFO 10516 --- [async-service-2] c.u.d.e.executor.impl.AsyncServiceImpl : end executeAsync
2018-07-16 22:15:48.833 INFO 10516 --- [async-service-3] c.u.d.e.executor.impl.AsyncServiceImpl : start executeAsync
異步線程要做的事情
可以在這里執(zhí)行批量插入等耗時的事情
2018-07-16 22:15:48.834 INFO 10516 --- [async-service-3] c.u.d.e.executor.impl.AsyncServiceImpl : end executeAsync
2018-07-16 22:15:48.986 INFO 10516 --- [async-service-4] c.u.d.e.executor.impl.AsyncServiceImpl : start executeAsync
異步線程要做的事情
可以在這里執(zhí)行批量插入等耗時的事情
2018-07-16 22:15:48.987 INFO 10516 --- [async-service-4] c.u.d.e.executor.impl.AsyncServiceImpl : end executeAsync
通過以上日志可以發(fā)現(xiàn),[async-service-]是有多個線程的,顯然已經(jīng)在我們配置的線程池中執(zhí)行了,并且每次請求中,controller的起始和結束日志都是連續(xù)打印的,表明每次請求都快速響應了,而耗時的操作都留給線程池中的線程去異步執(zhí)行;
雖然我們已經(jīng)用上了線程池,但是還不清楚線程池當時的情況,有多少線程在執(zhí)行,多少在隊列中等待呢?這里我創(chuàng)建了一個ThreadPoolTaskExecutor的子類,在每次提交線程的時候都會將當前線程池的運行狀況打印出來
import?org.slf4j.Logger;
import?org.slf4j.LoggerFactory;
import?org.springframework.scheduling.concurrent.ThreadPoolTaskExecutor;
import?org.springframework.util.concurrent.ListenableFuture;
import?java.util.concurrent.Callable;
import?java.util.concurrent.Future;
import?java.util.concurrent.ThreadPoolExecutor;
/**?*?@Author:?ChenBin?*?@Date:?2018/7/16/0016?22:19?*/
public?class?VisiableThreadPoolTaskExecutor?extends?ThreadPoolTaskExecutor?{
????private?static?final?Logger?logger?=?LoggerFactory.getLogger(VisiableThreadPoolTaskExecutor.class);
????private?void?showThreadPoolInfo(String?prefix)?{
????????ThreadPoolExecutor?threadPoolExecutor?=?getThreadPoolExecutor();
????????if?(null?==?threadPoolExecutor)?{
????????????return;
????????}
????????logger.info("{},?{},taskCount?[{}],?completedTaskCount?[{}],?activeCount?[{}],?queueSize?[{}]",
????????????????this.getThreadNamePrefix(),
????????????????prefix,
????????????????threadPoolExecutor.getTaskCount(),
????????????????threadPoolExecutor.getCompletedTaskCount(),
????????????????threadPoolExecutor.getActiveCount(),
????????????????threadPoolExecutor.getQueue().size());
????}
????@Override
????public?void?execute(Runnable?task)?{
????????showThreadPoolInfo("1.?do?execute");
????????super.execute(task);
????}
????@Override
????public?void?execute(Runnable?task,?long?startTimeout)?{
????????showThreadPoolInfo("2.?do?execute");
????????super.execute(task,?startTimeout);
????}
????@Override
????public?Future<?>?submit(Runnable?task)?{
????????showThreadPoolInfo("1.?do?submit");
????????return?super.submit(task);
????}
????@Override
????public?<T>?Future<T>?submit(Callable<T>?task)?{
????????showThreadPoolInfo("2.?do?submit");
????????return?super.submit(task);
????}
????@Override
????public?ListenableFuture<?>?submitListenable(Runnable?task)?{
????????showThreadPoolInfo("1.?do?submitListenable");
????????return?super.submitListenable(task);
????}
????@Override
????public?<T>?ListenableFuture<T>?submitListenable(Callable<T>?task)?{
????????showThreadPoolInfo("2.?do?submitListenable");
????????return?super.submitListenable(task);
????}
}如上所示,showThreadPoolInfo方法中將任務總數(shù)、已完成數(shù)、活躍線程數(shù),隊列大小都打印出來了,然后Override了父類的execute、submit等方法,在里面調(diào)用showThreadPoolInfo方法,這樣每次有任務被提交到線程池的時候,都會將當前線程池的基本情況打印到日志中;
修改ExecutorConfig.java的asyncServiceExecutor方法,將ThreadPoolTaskExecutor executor = new ThreadPoolTaskExecutor()改為ThreadPoolTaskExecutor executor = new VisiableThreadPoolTaskExecutor()
@Bean(name?=?"asyncServiceExecutor")
????public?Executor?asyncServiceExecutor()?{
????????logger.info("start?asyncServiceExecutor");
????????//在這里修改
????????ThreadPoolTaskExecutor?executor?=?new?VisiableThreadPoolTaskExecutor();
????????//配置核心線程數(shù)
????????executor.setCorePoolSize(corePoolSize);
????????//配置最大線程數(shù)
????????executor.setMaxPoolSize(maxPoolSize);
????????//配置隊列大小
????????executor.setQueueCapacity(queueCapacity);
????????//配置線程池中的線程的名稱前綴
????????executor.setThreadNamePrefix(namePrefix);
????????// rejection-policy:當pool已經(jīng)達到max size的時候,如何處理新任務
????????// CALLER_RUNS:不在新線程中執(zhí)行任務,而是有調(diào)用者所在的線程來執(zhí)行
????????executor.setRejectedExecutionHandler(new?ThreadPoolExecutor.CallerRunsPolicy());
????????//執(zhí)行初始化
????????executor.initialize();
????????return?executor;
????}再次啟動該工程測試
2018-07-16 22:23:30.951 INFO 14088 --- [nio-8087-exec-2] u.d.e.e.i.VisiableThreadPoolTaskExecutor : async-service-, 2. do submit,taskCount [0], completedTaskCount [0], activeCount [0], queueSize [0]
2018-07-16 22:23:30.952 INFO 14088 --- [async-service-1] c.u.d.e.executor.impl.AsyncServiceImpl : start executeAsync
異步線程要做的事情
可以在這里執(zhí)行批量插入等耗時的事情
2018-07-16 22:23:30.953 INFO 14088 --- [async-service-1] c.u.d.e.executor.impl.AsyncServiceImpl : end executeAsync
2018-07-16 22:23:31.351 INFO 14088 --- [nio-8087-exec-3] u.d.e.e.i.VisiableThreadPoolTaskExecutor : async-service-, 2. do submit,taskCount [1], completedTaskCount [1], activeCount [0], queueSize [0]
2018-07-16 22:23:31.353 INFO 14088 --- [async-service-2] c.u.d.e.executor.impl.AsyncServiceImpl : start executeAsync
異步線程要做的事情
可以在這里執(zhí)行批量插入等耗時的事情
2018-07-16 22:23:31.353 INFO 14088 --- [async-service-2] c.u.d.e.executor.impl.AsyncServiceImpl : end executeAsync
2018-07-16 22:23:31.927 INFO 14088 --- [nio-8087-exec-5] u.d.e.e.i.VisiableThreadPoolTaskExecutor : async-service-, 2. do submit,taskCount [2], completedTaskCount [2], activeCount [0], queueSize [0]
2018-07-16 22:23:31.929 INFO 14088 --- [async-service-3] c.u.d.e.executor.impl.AsyncServiceImpl : start executeAsync
異步線程要做的事情
可以在這里執(zhí)行批量插入等耗時的事情
2018-07-16 22:23:31.930 INFO 14088 --- [async-service-3] c.u.d.e.executor.impl.AsyncServiceImpl : end executeAsync
2018-07-16 22:23:32.496 INFO 14088 --- [nio-8087-exec-7] u.d.e.e.i.VisiableThreadPoolTaskExecutor : async-service-, 2. do submit,taskCount [3], completedTaskCount [3], activeCount [0], queueSize [0]
2018-07-16 22:23:32.498 INFO 14088 --- [async-service-4] c.u.d.e.executor.impl.AsyncServiceImpl : start executeAsync
異步線程要做的事情
可以在這里執(zhí)行批量插入等耗時的事情
2018-07-16 22:23:32.499 INFO 14088 --- [async-service-4] c.u.d.e.executor.impl.AsyncServiceImpl : end executeAsync
注意這一行日志:
2018-07-16 22:23:32.496 INFO 14088 --- [nio-8087-exec-7] u.d.e.e.i.VisiableThreadPoolTaskExecutor : async-service-, 2. do submit,taskCount [3], completedTaskCount [3], activeCount [0], queueSize [0]
這說明提交任務到線程池的時候,調(diào)用的是submit(Callable task)這個方法,當前已經(jīng)提交了3個任務,完成了3個,當前有0個線程在處理任務,還剩0個任務在隊列中等待,線程池的基本情況一路了然。
到此這篇關于SpringBoot 項目中創(chuàng)建線程池的文章就介紹到這了,更多相關SpringBoot 線程池內(nèi)容請搜索腳本之家以前的文章或繼續(xù)瀏覽下面的相關文章希望大家以后多多支持腳本之家!
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