1、替換 tomcat

首先，把 tomcat 換成 undertow，這個(gè)性能在 Jmeter 的壓測(cè)下，undertow 比 tomcat 高一倍第一步，pom 修改去除tomcat

<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>

第二步，配置

server: undertow: max-http-post-size: 0# 設(shè)置IO線程數(shù), 它主要執(zhí)行非阻塞的任務(wù),它們會(huì)負(fù)責(zé)多個(gè)連接, 默認(rèn)設(shè)置每個(gè)CPU核心一個(gè)線程,數(shù)量和CPU 內(nèi)核數(shù)目一樣即可 io-threads: 4# 阻塞任務(wù)線程池, 當(dāng)執(zhí)行類似servlet請(qǐng)求阻塞操作, undertow會(huì)從這個(gè)線程池中取得線程,它的值設(shè)置取決于系統(tǒng)的負(fù)載 io-threads*8 worker-threads: 32# 以下的配置會(huì)影響buffer,這些buffer會(huì)用于服務(wù)器連接的IO操作,有點(diǎn)類似netty的池化內(nèi)存管理# 每塊buffer的空間大小,越小的空間被利用越充分 buffer-size: 1024# 每個(gè)區(qū)分配的buffer數(shù)量 , 所以pool的大小是buffer-size * buffers-per-region# buffers-per-region: 1024 # 這個(gè)參數(shù)不需要寫了# 是否分配的直接內(nèi)存 direct-buffers: true

2、替換 HTTPClient

第一步，加依賴

<dependency> <groupId>io.github.openfeign</groupId> <artifactId>feign-httpclient</artifactId></dependency>

第二部，在 application.yml或者 bootstrap.yml 里面配置

# feign配置feign: hystrix: # 在feign中開啟hystrix功能，默認(rèn)情況下feign不開啟hystrix功能 enabled: true ## 配置httpclient線程池 httpclient: enabled: true okhttp: enabled: false

第三步，配置 HTTPClient Bean

import java.util.Timer;import java.util.TimerTask;import java.util.concurrent.TimeUnit;import org.apache.http.client.HttpClient;import org.apache.http.client.config.RequestConfig;import org.apache.http.impl.client.DefaultConnectionKeepAliveStrategy;import org.apache.http.impl.client.HttpClientBuilder;import org.apache.http.impl.conn.PoolingHttpClientConnectionManager;import org.springframework.context.annotation.Bean;import org.springframework.context.annotation.Configuration;@Configurationpublic class HttpPool { @Bean public HttpClient httpClient(){ System.out.println('===== Apache httpclient 初始化連接池開始===' ); // 生成默認(rèn)請(qǐng)求配置 RequestConfig.Builder requestConfigBuilder = RequestConfig.custom(); // 超時(shí)時(shí)間 requestConfigBuilder.setSocketTimeout(5 * 1000); // 連接時(shí)間 requestConfigBuilder.setConnectTimeout(5 * 1000); RequestConfig defaultRequestConfig = requestConfigBuilder.build(); // 連接池配置 // 長(zhǎng)連接保持30秒 final PoolingHttpClientConnectionManager pollingConnectionManager = new PoolingHttpClientConnectionManager(30, TimeUnit.MILLISECONDS); // 總連接數(shù) pollingConnectionManager.setMaxTotal(1000); // 同路由的并發(fā)數(shù) pollingConnectionManager.setDefaultMaxPerRoute(100); // httpclient 配置 HttpClientBuilder httpClientBuilder = HttpClientBuilder.create(); // 保持長(zhǎng)連接配置，需要在頭添加Keep-Alive httpClientBuilder.setKeepAliveStrategy(new DefaultConnectionKeepAliveStrategy()); httpClientBuilder.setConnectionManager(pollingConnectionManager); httpClientBuilder.setDefaultRequestConfig(defaultRequestConfig); HttpClient client = httpClientBuilder.build(); // 啟動(dòng)定時(shí)器，定時(shí)回收過期的連接 Timer timer = new Timer(); timer.schedule(new TimerTask() { @Override public void run() {System.out.println('=====closeIdleConnections===');pollingConnectionManager.closeExpiredConnections();pollingConnectionManager.closeIdleConnections(5, TimeUnit.SECONDS); } }, 10 * 1000, 5 * 1000); System.out.println('===== Apache httpclient 初始化連接池完畢==='); return client; }}

3、配置 Hystrix

第一步，依賴

<dependency> <groupId>org.springframework.cloud</groupId> <artifactId>spring-cloud-starter-hystrix</artifactId></dependency>

第二步，配置

# 配置hystrix的參數(shù)hystrix: threadpool: # default: 默認(rèn)參數(shù)，作用的所有的hystrix的客戶端,如果需要對(duì)某個(gè)具體的接口，可以寫接口 方法名稱 default: coreSize: 500 command: default: fallback: # 是否開啟回退方法 enabled: true execution: isolation: thread: timeoutInMilliseconds: 30000 #缺省為1000

以上就是本文的全部?jī)?nèi)容，希望對(duì)大家的學(xué)習(xí)有所幫助，也希望大家多多支持好吧啦網(wǎng)。