javascript
Spring Boot 应用如何提高服务吞吐量?
背景
生產(chǎn)環(huán)境偶爾會(huì)有一些慢請(qǐng)求導(dǎo)致系統(tǒng)性能下降,吞吐量下降,下面介紹幾種優(yōu)化建議。
方案
1、undertow替換tomcat
電子商務(wù)類型網(wǎng)站大多都是短請(qǐng)求,一般響應(yīng)時(shí)間都在100ms,這時(shí)可以將web容器從tomcat替換為undertow,下面介紹下步驟:1、增加pom配置
<dependency><groupid>org.springframework.boot</groupid><artifactid>spring-boot-starter-web</artifactid><exclusions><exclusion><groupid>org.springframework.boot</groupid><artifactid>spring-boot-starter-tomcat</artifactid></exclusion></exclusions></dependency> <dependency><groupid>org.springframework.boot</groupid><artifactid>spring-boot-starter-undertow</artifactid></dependency>2、增加相關(guān)配置
server:undertow:direct-buffers:?trueio-threads:?4worker-threads:?160重新啟動(dòng)可以在控制臺(tái)看到容器已經(jīng)切換為undertow了
2、緩存
將部分熱點(diǎn)數(shù)據(jù)或者靜態(tài)數(shù)據(jù)放到本地緩存或者redis中,如果有需要可以定時(shí)更新緩存數(shù)據(jù)
3、異步
在代碼過程中我們很多代碼都不需要等返回結(jié)果,也就是部分代碼是可以并行執(zhí)行,這個(gè)時(shí)候可以使用異步,最簡(jiǎn)單的方案是使用springboot提供的@Async注解,當(dāng)然也可以通過線程池來實(shí)現(xiàn),下面簡(jiǎn)單介紹下異步步驟。1、pom依賴 一般springboot引入web相關(guān)依賴就行
<dependency><groupid>org.springframework.boot</groupid><artifactid>spring-boot-starter-web</artifactid></dependency>2、在啟動(dòng)類中增加@EnableAsync注解
@EnableAsync @SpringBootApplication public?class?AppApplication {public?static?void?main(String[]?args){SpringApplication.run(AppApplication.class,?args);} }3、需要時(shí)在指定方法中增加@Async注解,如果是需要等待返回值,則demo如下
?@Asyncpublic?Future<string>?doReturn(int?i){try?{//?這個(gè)方法需要調(diào)用500毫秒Thread.sleep(500);}?catch?(InterruptedException?e)?{e.printStackTrace();}//?消息匯總return?new?AsyncResult<>("異步調(diào)用");}4、如果有線程變量或者logback中的mdc,可以增加傳遞
import?org.slf4j.MDC; import?org.springframework.context.annotation.Configuration; import?org.springframework.core.task.TaskDecorator; import?org.springframework.scheduling.annotation.AsyncConfigurerSupport; import?org.springframework.scheduling.annotation.EnableAsync; import?org.springframework.scheduling.concurrent.ThreadPoolTaskExecutor;import?java.util.Map; import?java.util.concurrent.Executor;/***?@Description:*/ @EnableAsync @Configuration public?class?AsyncConfig?extends?AsyncConfigurerSupport?{@Overridepublic?Executor?getAsyncExecutor()?{ThreadPoolTaskExecutor?executor?=?new?ThreadPoolTaskExecutor();executor.setTaskDecorator(new?MdcTaskDecorator());executor.initialize();return?executor;} }class?MdcTaskDecorator?implements?TaskDecorator?{@Overridepublic?Runnable?decorate(Runnable?runnable)?{Map<string,?string>?contextMap?=?MDC.getCopyOfContextMap();return?()?->?{try?{MDC.setContextMap(contextMap);runnable.run();}?finally?{MDC.clear();}};} }5、有時(shí)候異步需要增加阻塞
import?lombok.extern.slf4j.Slf4j; import?org.springframework.context.annotation.Bean; import?org.springframework.context.annotation.Configuration; import?org.springframework.scheduling.concurrent.ThreadPoolTaskExecutor;import?java.util.concurrent.Executor; import?java.util.concurrent.ThreadPoolExecutor;@Configuration @Slf4j public?class?TaskExecutorConfig?{@Bean("localDbThreadPoolTaskExecutor")public?Executor?threadPoolTaskExecutor()?{ThreadPoolTaskExecutor?taskExecutor?=?new?ThreadPoolTaskExecutor();taskExecutor.setCorePoolSize(5);taskExecutor.setMaxPoolSize(200);taskExecutor.setQueueCapacity(200);taskExecutor.setKeepAliveSeconds(100);taskExecutor.setThreadNamePrefix("LocalDbTaskThreadPool");taskExecutor.setRejectedExecutionHandler((Runnable?r,?ThreadPoolExecutor?executor)?->?{if?(!executor.isShutdown())?{try?{Thread.sleep(300);executor.getQueue().put(r);}?catch?(InterruptedException?e)?{log.error(e.toString(),?e);Thread.currentThread().interrupt();}}});taskExecutor.initialize();return?taskExecutor;}}4、業(yè)務(wù)拆分
可以將比較耗時(shí)或者不同的業(yè)務(wù)拆分出來提供單節(jié)點(diǎn)的吞吐量
5、集成消息隊(duì)列
有很多場(chǎng)景對(duì)數(shù)據(jù)實(shí)時(shí)性要求不那么強(qiáng)的,或者對(duì)業(yè)務(wù)進(jìn)行業(yè)務(wù)容錯(cuò)處理時(shí)可以將消息發(fā)送到kafka,然后延時(shí)消費(fèi)。舉個(gè)例子,根據(jù)條件查詢指定用戶發(fā)送推送消息,這里可以時(shí)按時(shí)、按天、按月等等,這時(shí)就
集成消息隊(duì)列?
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