Spring Boot 应用如何提高服务吞吐量?

搜云库技术团队

发布于 2020-07-01 15:45:18

5160

发布于 2020-07-01 15:45:18

文章被收录于专栏：搜云库技术团队搜云库技术团队

背景

生产环境偶尔会有一些慢请求导致系统性能下降，吞吐量下降，下面介绍几种优化建议。

方案

1、undertow替换tomcat

电子商务类型网站大多都是短请求，一般响应时间都在100ms，这时可以将web容器从tomcat替换为undertow，下面介绍下步骤：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、增加相关配置

server:  undertow:    direct-buffers: true    io-threads: 4    worker-threads: 160

重新启动可以在控制台看到容器已经切换为undertow了

2、缓存

将部分热点数据或者静态数据放到本地缓存或者redis中，如果有需要可以定时更新缓存数据

3、异步

在代码过程中我们很多代码都不需要等返回结果，也就是部分代码是可以并行执行，这个时候可以使用异步，最简单的方案是使用springboot提供的@Async注解，当然也可以通过线程池来实现，下面简单介绍下异步步骤。1、pom依赖一般springboot引入web相关依赖就行

<dependency>    <groupid>org.springframework.boot</groupid>    <artifactid>spring-boot-starter-web</artifactid></dependency>

2、在启动类中增加@EnableAsync注解

@EnableAsync@SpringBootApplicationpublic class AppApplication{    public static void main(String[] args)    {        SpringApplication.run(AppApplication.class, args);    }}

3、需要时在指定方法中增加@Async注解，如果是需要等待返回值，则demo如下

@Asyncpublic Future<string> doReturn(int i){    try {        // 这个方法需要调用500毫秒        Thread.sleep(500);    } catch (InterruptedException e) {        e.printStackTrace();    }    // 消息汇总    return new AsyncResult&lt;&gt;("异步调用");}

4、如果有线程变量或者logback中的mdc，可以增加传递

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@Configurationpublic class AsyncConfig extends AsyncConfigurerSupport {    @Override    public Executor getAsyncExecutor() {        ThreadPoolTaskExecutor executor = new ThreadPoolTaskExecutor();        executor.setTaskDecorator(new MdcTaskDecorator());        executor.initialize();        return executor;    }}class MdcTaskDecorator implements TaskDecorator {    @Override    public Runnable decorate(Runnable runnable) {        Map<string, string> contextMap = MDC.getCopyOfContextMap();        return () -&gt; {            try {                MDC.setContextMap(contextMap);                runnable.run();            } finally {                MDC.clear();            }        };    }}

5、有时候异步需要增加阻塞

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@Slf4jpublic 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) -&gt; {                    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;    }}