在业务开发过程中,存在这样的场景:程序接收到数据后,调用其他接口再将数据转发出去;如果接收一条转发一条,效率是比较低的,所以一个思路是先将数据缓存起来,缓存到一定数量后一次性转发出去。
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有优点就有缺点,需要根据业务场景进行考量:
下面内容是对Hystrix请求合并及根据Hystrix请求合并原理自定义实现的简化版本。
Without Collapsing
without collapsing
With Collapsing
with collapsing
请求合并设计思路
design
示例采用Spring-Boot编写,下面代码拷贝到工程中可以直接运行。
下面是spring与hystrix集成的依赖pom。
org.springframework.cloud
spring-cloud-starter-netflix-hystrix
2.1.6.RELEASE
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.cloud.netflix.hystrix.EnableHystrix;
@EnableHystrix
@SpringBootApplication
public class Application {
public static void main(String[] args){
SpringApplication.run(Application.class, args);
}
}
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;
import javax.annotation.Resource;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.Future;
@RestController
public class HystrixController {
@Resource
private HystrixService hystrixService;
@RequestMapping("/byid")
public Long byId(Long id) throws InterruptedException, ExecutionException {
Futurefuture = hystrixService.byId(id);
return future.get();
}
}
import org.springframework.stereotype.Service;
import java.util.List;
import java.util.concurrent.Future;
import com.netflix.hystrix.contrib.javanica.annotation.HystrixCollapser;
import com.netflix.hystrix.contrib.javanica.annotation.HystrixCommand;
import com.netflix.hystrix.contrib.javanica.annotation.HystrixProperty;
@Service
public class HystrixService {
@HystrixCollapser(batchMethod="byIds",scope= com.netflix.hystrix.HystrixCollapser.Scope.GLOBAL,
collapserProperties={
@HystrixProperty(name="maxRequestsInBatch",value="10"),
@HystrixProperty(name="timerDelayInMilliseconds",value="1000")
})
public FuturebyId(Long id){
return null;
}
@HystrixCommand
public ListbyIds(List ids){
System.out.println(ids);
return ids;
}
}
发送请求进行验证。
import org.apache.http.HttpResponse;
import org.apache.http.client.methods.HttpGet;
import org.apache.http.impl.client.CloseableHttpClient;
import org.apache.http.impl.client.HttpClients;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;
public class HystrixTest {
public static void main(String[] args) throws Exception{
CloseableHttpClient httpClient = HttpClients.custom().setMaxConnPerRoute(100).build();
String url = "http://localhost:8086/byid?id=";
ExecutorService executorService = Executors.newFixedThreadPool(20);
int requestCount = 20;
for(int i = 0;i < requestCount;i++){
final int id = i;
executorService.execute(new Runnable() {
@Override
public void run(){
try{
HttpGet httpGet = new HttpGet(url+ id);
HttpResponse response = httpClient.execute(httpGet);
System.out.println(response);
}catch (Exception e){
e.printStackTrace();
}
}
});
}
Thread.sleep(1000*10);
executorService.shutdown();
httpClient.close();
}
}
由于Hystrix已不再维护,同时考虑到Hystrix使用RxJava的学习门槛,根据HystrixCollapser设计思路及常见业务功能需求实现了一个简化版本。
import java.util.concurrent.*;
import java.util.concurrent.atomic.AtomicInteger;
public class RequestCollapserFactory {
private static RequestCollapserFactory factory;
private static final int MAXBATCHSIZE = 20;
private static final long DELAY = 1000L;
private static final long PERIOD = 500L;
private ConcurrentHashMapcollapsers;
private ScheduledExecutorService executor;
private RequestCollapserFactory(){
collapsers = new ConcurrentHashMap<>();
ThreadFactory threadFactory = new ThreadFactory() {
final AtomicInteger counter = new AtomicInteger();
@Override
public Thread newThread(Runnable r){
Thread thread = new Thread(r, "RequestCollapserTimer-" + counter.incrementAndGet());
thread.setDaemon(true);
return thread;
}
};
executor = new ScheduledThreadPoolExecutor(Runtime.getRuntime().availableProcessors(), threadFactory);
}
public static RequestCollapserFactory getInstance(){
if(factory != null){
return factory;
}
synchronized (RequestCollapserFactory.class){
if(factory != null){
return factory;
}
factory = new RequestCollapserFactory();
}
return factory;
}
public RequestCollapser getRequestCollapser(String key,RequestBatch requestBatch){
return getRequestCollapser(key,requestBatch,MAXBATCHSIZE,DELAY,PERIOD);
}
public RequestCollapser getRequestCollapser(String key,RequestBatch requestBatch,int maxBatchSize){
return getRequestCollapser(key,requestBatch,maxBatchSize,DELAY,PERIOD);
}
public RequestCollapser getRequestCollapser(String key,RequestBatch requestBatch,int maxBatchSize,long delay, long period){
RequestCollapser collapser = collapsers.get(key);
if(collapser != null){
return collapser;
}
synchronized (collapsers){
collapser = collapsers.get(key);
if(collapser != null){
return collapser;
}
collapser = new RequestCollapser(requestBatch,maxBatchSize,delay,period,executor);
collapsers.put(key,collapser);
return collapser;
}
}
}
import java.util.Collection;
import java.util.LinkedList;
import java.util.List;
import java.util.concurrent.LinkedBlockingQueue;
import java.util.concurrent.ScheduledExecutorService;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.atomic.AtomicBoolean;
public class RequestCollapser {
private int maxBatchSize;
private long delay;
private long period;
private LinkedBlockingQueue
import java.util.List;
public interface RequestBatch {
boolean batch(ListobjectList);
}
import java.util.List;
import java.util.concurrent.CountDownLatch;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;
import java.util.concurrent.atomic.AtomicInteger;
public class RequestCollapserTest {
private static AtomicInteger counter = new AtomicInteger();
private static long delay = 1;
private static long period = 1;
private static int maxBatchSize = 20;
private static int requestCount = 50000;
private static RequestCollapserFactory factory = RequestCollapserFactory.getInstance();
private static RequestBatch requestBatch = new RequestBatch() {
@Override
public boolean batch(ListobjectList){
int size = objectList.size();
counter.addAndGet(size);
System.out.println(counter + ":::::" + size + ":::::" + objectList);
return true;
}
};
public static void main(String[] args) throws Exception{
//sync();
async();
}
public static void async() throws Exception{
ExecutorService executorService = Executors.newFixedThreadPool(20);
CountDownLatch countDownLatch = new CountDownLatch(requestCount);
for(int i = 0;i < requestCount;i++){
final int id = i;
executorService.execute(new Runnable() {
@Override
public void run(){
try{
RequestCollapser requestCollapser =
factory.getRequestCollapser("1",requestBatch,maxBatchSize,delay,period);
requestCollapser.submitRequest(id,true);
}catch (Exception e){
e.printStackTrace();
}
countDownLatch.countDown();
}
});
}
executorService.shutdown();
countDownLatch.await();
Thread.sleep(1000);
System.out.println(counter.get());
}
public static void sync() throws Exception{
for(int i = 0;i < requestCount;i++){
final int id = i;
RequestCollapser requestCollapser =
factory.getRequestCollapser("1",requestBatch,maxBatchSize,delay,period);
requestCollapser.submitRequest(id,true);
}
Thread.sleep(1000);
System.out.println(counter.get());
}
}
本文标题:性能优化之Hystrix请求合并&自实现简化版本
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