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SpringCloud Feign轉(zhuǎn)發(fā)請求頭(防止session失效)的解決方案

更新時間：2020年10月26日 14:22:24 作者：學(xué)圓惑邊

這篇文章主要介紹了SpringCloud Feign轉(zhuǎn)發(fā)請求頭(防止session失效)的解決方案,本文給大家分享兩種解決方案供大家參考，感興趣的朋友跟隨小編一起看看吧

微服務(wù)開發(fā)中經(jīng)常有這樣的需求，公司自定義了通用的請求頭，需要在微服務(wù)的調(diào)用鏈中轉(zhuǎn)發(fā)，比如在請求頭中加入了token，或者某個自定義的信息uniqueId，總之就是自定義的一個鍵值對的東東，A服務(wù)調(diào)用B服務(wù)，B服務(wù)調(diào)用C服務(wù)，這樣通用的東西如何讓他在一個調(diào)用鏈中不斷地傳遞下去呢？以A服務(wù)為例：

方案1

最傻的辦法，在程序中獲取，調(diào)用B的時候再轉(zhuǎn)發(fā)，怎么獲取在Controller中國通過注解獲取，或者通過request對象獲取，這個不難，在請求B服務(wù)的時候，通過注解將值放進去即可；簡代碼如下：

獲?。?
@RequestMapping(value = "/api/test", method = RequestMethod.GET)
public String testFun(@RequestParam String name, @RequestHeader("uniqueId") String uniqueId) {
  if(uniqueId == null ){
     return "Must defined the uniqueId , it can not be null";
  }
  log.info(uniqueId, "begin testFun... ");
 return uniqueId;
}

然后A使用Feign調(diào)用B服務(wù)的時候，傳過去：

@FeignClient(value = "DEMO-SERVICE")
public interface CallClient {

  /**
 * 訪問DEMO-SERVICE服務(wù)的/api/test接口，通過注解將logId傳遞給下游服務(wù)
 */
 @RequestMapping(value = "/api/test", method = RequestMethod.GET)
  String callApiTest(@RequestParam(value = "name") String name, @RequestHeader(value = "uniqueId") String uniqueId);

}

方案弊端：毫無疑問，這方案不好，因為對代碼有侵入，需要開發(fā)人員沒次手動的獲取和添加，因此舍棄

方案2

服務(wù)通過請求攔截器，在請求從A發(fā)送到B之后，在攔截器內(nèi)將自己需要的東東加到請求頭：

import com.intellif.log.LoggerUtilI;
import feign.RequestInterceptor;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.web.context.request.RequestContextHolder;
import org.springframework.web.context.request.ServletRequestAttributes;

import javax.servlet.http.HttpServletRequest;
import java.util.Enumeration;

/**
 * 自定義的請求頭處理類，處理服務(wù)發(fā)送時的請求頭；
 * 將服務(wù)接收到的請求頭中的uniqueId和token字段取出來，并設(shè)置到新的請求頭里面去轉(zhuǎn)發(fā)給下游服務(wù)
 * 比如A服務(wù)收到一個請求，請求頭里面包含uniqueId和token字段，A處理時會使用Feign客戶端調(diào)用B服務(wù)
 * 那么uniqueId和token這兩個字段就會添加到請求頭中一并發(fā)給B服務(wù)；
 *
 * @author mozping
 * @version 1.0
 * @date 2018/6/27 14:13
 * @see FeignHeadConfiguration
 * @since JDK1.8
 */
@Configuration
public class FeignHeadConfiguration {
  private final LoggerUtilI logger = LoggerUtilI.getLogger(this.getClass().getName());

  @Bean
  public RequestInterceptor requestInterceptor() {
    return requestTemplate -> {
      ServletRequestAttributes attrs = (ServletRequestAttributes) RequestContextHolder.getRequestAttributes();
      if (attrs != null) {
        HttpServletRequest request = attrs.getRequest();
        Enumeration<String> headerNames = request.getHeaderNames();
        if (headerNames != null) {
          while (headerNames.hasMoreElements()) {
            String name = headerNames.nextElement();
            String value = request.getHeader(name);
            /**
             * 遍歷請求頭里面的屬性字段，將logId和token添加到新的請求頭中轉(zhuǎn)發(fā)到下游服務(wù)
             * */
            if ("uniqueId".equalsIgnoreCase(name) || "token".equalsIgnoreCase(name)) {
              logger.debug("添加自定義請求頭key:" + name + ",value:" + value);
              requestTemplate.header(name, value);
            } else {
              logger.debug("FeignHeadConfiguration", "非自定義請求頭key:" + name + ",value:" + value + "不需要添加!");
            }
          }
        } else {
          logger.warn("FeignHeadConfiguration", "獲取請求頭失??！");
        }
      }
    };
  }

}

網(wǎng)上很多關(guān)于這種方法的博文或者資料，大同小異，但是有一個問題，在開啟熔斷器之后，這里的attrs就是null，因為熔斷器默認(rèn)的隔離策略是thread，也就是線程隔離，實際上接收到的對象和這個在發(fā)送給B不是一個線程，怎么辦？有一個辦法，修改隔離策略hystrix.command.default.execution.isolation.strategy=SEMAPHORE，改為信號量的隔離模式，但是不推薦，因為thread是默認(rèn)的，而且要命的是信號量模式，熔斷器不生效，比如設(shè)置了熔斷時間hystrix.command.default.execution.isolation.semaphore.timeoutInMilliseconds=5000，五秒，如果B服務(wù)里面sleep了10秒，非得等到B執(zhí)行完畢再返回，因此這個方案也不可??；但是有什么辦法可以在默認(rèn)的Thread模式下讓攔截器拿到上游服務(wù)的請求頭？自定義策略：代碼如下：

import com.netflix.hystrix.HystrixThreadPoolKey;
import com.netflix.hystrix.HystrixThreadPoolProperties;
import com.netflix.hystrix.strategy.HystrixPlugins;
import com.netflix.hystrix.strategy.concurrency.HystrixConcurrencyStrategy;
import com.netflix.hystrix.strategy.concurrency.HystrixRequestVariable;
import com.netflix.hystrix.strategy.concurrency.HystrixRequestVariableLifecycle;
import com.netflix.hystrix.strategy.eventnotifier.HystrixEventNotifier;
import com.netflix.hystrix.strategy.executionhook.HystrixCommandExecutionHook;
import com.netflix.hystrix.strategy.metrics.HystrixMetricsPublisher;
import com.netflix.hystrix.strategy.properties.HystrixPropertiesStrategy;
import com.netflix.hystrix.strategy.properties.HystrixProperty;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.stereotype.Component;
import org.springframework.web.context.request.RequestAttributes;
import org.springframework.web.context.request.RequestContextHolder;

import java.util.concurrent.BlockingQueue;
import java.util.concurrent.Callable;
import java.util.concurrent.ThreadPoolExecutor;
import java.util.concurrent.TimeUnit;

/**
 * 自定義Feign的隔離策略;
 * 在轉(zhuǎn)發(fā)Feign的請求頭的時候，如果開啟了Hystrix，Hystrix的默認(rèn)隔離策略是Thread(線程隔離策略)，因此轉(zhuǎn)發(fā)攔截器內(nèi)是無法獲取到請求的請求頭信息的，可以修改默認(rèn)隔離策略為信號量模式：hystrix.command.default.execution.isolation.strategy=SEMAPHORE，這樣的話轉(zhuǎn)發(fā)線程和請求線程實際上是一個線程，這并不是最好的解決方法，信號量模式也不是官方最為推薦的隔離策略；另一個解決方法就是自定義Hystrix的隔離策略，思路是將現(xiàn)有的并發(fā)策略作為新并發(fā)策略的成員變量,在新并發(fā)策略中，返回現(xiàn)有并發(fā)策略的線程池、Queue；將策略加到Spring容器即可；
 *
 * @author mozping
 * @version 1.0
 * @date 2018/7/5 9:08
 * @see FeignHystrixConcurrencyStrategyIntellif
 * @since JDK1.8
 */
@Component
public class FeignHystrixConcurrencyStrategyIntellif extends HystrixConcurrencyStrategy {

  private static final Logger log = LoggerFactory.getLogger(FeignHystrixConcurrencyStrategyIntellif.class);
  private HystrixConcurrencyStrategy delegate;

  public FeignHystrixConcurrencyStrategyIntellif() {
    try {
      this.delegate = HystrixPlugins.getInstance().getConcurrencyStrategy();
      if (this.delegate instanceof FeignHystrixConcurrencyStrategyIntellif) {
        // Welcome to singleton hell...
        return;
      }
      HystrixCommandExecutionHook commandExecutionHook =
          HystrixPlugins.getInstance().getCommandExecutionHook();
      HystrixEventNotifier eventNotifier = HystrixPlugins.getInstance().getEventNotifier();
      HystrixMetricsPublisher metricsPublisher = HystrixPlugins.getInstance().getMetricsPublisher();
      HystrixPropertiesStrategy propertiesStrategy =
          HystrixPlugins.getInstance().getPropertiesStrategy();
      this.logCurrentStateOfHystrixPlugins(eventNotifier, metricsPublisher, propertiesStrategy);
      HystrixPlugins.reset();
      HystrixPlugins.getInstance().registerConcurrencyStrategy(this);
      HystrixPlugins.getInstance().registerCommandExecutionHook(commandExecutionHook);
      HystrixPlugins.getInstance().registerEventNotifier(eventNotifier);
      HystrixPlugins.getInstance().registerMetricsPublisher(metricsPublisher);
      HystrixPlugins.getInstance().registerPropertiesStrategy(propertiesStrategy);
    } catch (Exception e) {
      log.error("Failed to register Sleuth Hystrix Concurrency Strategy", e);
    }
  }

  private void logCurrentStateOfHystrixPlugins(HystrixEventNotifier eventNotifier,
                         HystrixMetricsPublisher metricsPublisher, HystrixPropertiesStrategy propertiesStrategy) {
    if (log.isDebugEnabled()) {
      log.debug("Current Hystrix plugins configuration is [" + "concurrencyStrategy ["
          + this.delegate + "]," + "eventNotifier [" + eventNotifier + "]," + "metricPublisher ["
          + metricsPublisher + "]," + "propertiesStrategy [" + propertiesStrategy + "]," + "]");
      log.debug("Registering Sleuth Hystrix Concurrency Strategy.");
    }
  }

  @Override
  public <T> Callable<T> wrapCallable(Callable<T> callable) {
    RequestAttributes requestAttributes = RequestContextHolder.getRequestAttributes();
    return new WrappedCallable<>(callable, requestAttributes);
  }

  @Override
  public ThreadPoolExecutor getThreadPool(HystrixThreadPoolKey threadPoolKey,
                      HystrixProperty<Integer> corePoolSize, HystrixProperty<Integer> maximumPoolSize,
                      HystrixProperty<Integer> keepAliveTime, TimeUnit unit, BlockingQueue<Runnable> workQueue) {
    return this.delegate.getThreadPool(threadPoolKey, corePoolSize, maximumPoolSize, keepAliveTime,
        unit, workQueue);
  }

  @Override
  public ThreadPoolExecutor getThreadPool(HystrixThreadPoolKey threadPoolKey,
                      HystrixThreadPoolProperties threadPoolProperties) {
    return this.delegate.getThreadPool(threadPoolKey, threadPoolProperties);
  }

  @Override
  public BlockingQueue<Runnable> getBlockingQueue(int maxQueueSize) {
    return this.delegate.getBlockingQueue(maxQueueSize);
  }

  @Override
  public <T> HystrixRequestVariable<T> getRequestVariable(HystrixRequestVariableLifecycle<T> rv) {
    return this.delegate.getRequestVariable(rv);
  }

  static class WrappedCallable<T> implements Callable<T> {
    private final Callable<T> target;
    private final RequestAttributes requestAttributes;

    public WrappedCallable(Callable<T> target, RequestAttributes requestAttributes) {
      this.target = target;
      this.requestAttributes = requestAttributes;
    }

    @Override
    public T call() throws Exception {
      try {
        RequestContextHolder.setRequestAttributes(requestAttributes);
        return target.call();
      } finally {
        RequestContextHolder.resetRequestAttributes();
      }
    }
  }
}

然后使用默認(rèn)的熔斷器隔離策略，也可以在攔截器內(nèi)獲取到上游服務(wù)的請求頭信息了；
這里參考的博客，感謝這位大牛：https://blog.csdn.net/Crystalqy/article/details/79083857

到此這篇關(guān)于SpringCloud Feign轉(zhuǎn)發(fā)請求頭(防止session失效)的解決方案的文章就介紹到這了,更多相關(guān)SpringCloud Feign轉(zhuǎn)發(fā)請求頭內(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(guān)文章希望大家以后多多支持腳本之家！

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