接口异步调用,接口耗时减少的可不是一点点

随着业务发展,底层数据量越来越大,业务逻辑也日趋复杂化,某些接口耗时也越来越长,这时候接口就需要进行性能优化了,当然性能优化主要跟业务相关涉及改造点可能各不相同,这里就来介绍异步调用多个接口减少响应时间。

适用条件

  • 调用多个独立的接口,接口间无相互依赖关系
  • 非耗时最大的接口占总耗时比重较大

优化前调用方式

优化前的代码按照顺序调用方式:

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import lombok.extern.slf4j.Slf4j;

@Slf4j
public class DemoTest {

public static void main(String[] args) throws Exception {
long beginTime = System.currentTimeMillis();
int processA = new InterfaceA().process();
int processB = new InterfaceB().process();
int result = processA + processB;
log.info("执行结果:{} 耗时:{}", result, System.currentTimeMillis() - beginTime);
}

@Slf4j
public final static class InterfaceA {
Integer result = 1;

public int process() {
long beginTime = System.currentTimeMillis();
try {
Thread.sleep(2000);
} catch (Exception e) {
log.error("InterfaceA.process Exception");
}
log.info("执行接口InterfaceA.process 耗时:{}ms", System.currentTimeMillis() - beginTime);
return result;
}
}

@Slf4j
public final static class InterfaceB {
Integer result = 1;

public int process() {
long beginTime = System.currentTimeMillis();
try {
Thread.sleep(2000);
} catch (Exception e) {
log.error("InterfaceB.process Exception");
}
log.info("执行接口InterfaceB.process 耗时:{}ms", System.currentTimeMillis() - beginTime);
return result;
}
}
}

执行结果:

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21:40:17.603 [main] INFO DemoTest$InterfaceA - 执行接口InterfaceA.process 耗时:2002ms
21:40:19.612 [main] INFO DemoTest$InterfaceB - 执行接口InterfaceB.process 耗时:2001ms
21:40:19.613 [main] INFO DemoTest - 执行结果:2 耗时:4018

优化后调用方式

优化后的代码按照异步调用方式:

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import cn.hutool.core.thread.ThreadFactoryBuilder;
import lombok.extern.slf4j.Slf4j;

import java.util.ArrayList;
import java.util.List;
import java.util.concurrent.ArrayBlockingQueue;
import java.util.concurrent.Future;
import java.util.concurrent.ThreadPoolExecutor;
import java.util.concurrent.TimeUnit;

@Slf4j
public class DemoTest {
private static ThreadPoolExecutor pool = new ThreadPoolExecutor(
5,
5,
60,
TimeUnit.SECONDS,
new ArrayBlockingQueue<Runnable>(1000),
ThreadFactoryBuilder.create().setNamePrefix("线程名称-").build()
);

public static void main(String[] args) throws Exception {
long beginTime = System.currentTimeMillis();

List<Future<Integer>> futures = new ArrayList<>(2);
List<Integer> results = new ArrayList<>(2);
futures.add(pool.submit(() -> new InterfaceA().process()));
futures.add(pool.submit(() -> new InterfaceB().process()));
for (Future<Integer> item : futures) {
results.add(item.get());
}

int result = results.get(0) + results.get(1);
log.info("执行结果:{} 耗时:{}", result, System.currentTimeMillis() - beginTime);
}

@Slf4j
public final static class InterfaceA {
Integer result = 1;

public int process() {
long beginTime = System.currentTimeMillis();
try {
Thread.sleep(2000);
} catch (Exception e) {
log.error("InterfaceA.process Exception");
}
log.info("执行接口InterfaceA.process 耗时:{}ms", System.currentTimeMillis() - beginTime);
return result;
}
}

@Slf4j
public final static class InterfaceB {
Integer result = 1;

public int process() {
long beginTime = System.currentTimeMillis();
try {
Thread.sleep(2000);
} catch (Exception e) {
log.error("InterfaceB.process Exception");
}
log.info("执行接口InterfaceB.process 耗时:{}ms", System.currentTimeMillis() - beginTime);
return result;
}
}
}

执行结果:

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22:03:43.180 [线程名称-1] INFO DemoTest$InterfaceB - 执行接口InterfaceB.process 耗时:2004ms
22:03:43.180 [线程名称-0] INFO DemoTest$InterfaceA - 执行接口InterfaceA.process 耗时:2004ms
22:03:43.190 [main] INFO DemoTest - 执行结果:2 耗时:2020

此方式还可以结合CompletionService可实现异步任务和执行结果分离,大家可以自行搜索实践

强大的CompletableFuture JDK1.8

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import com.google.common.collect.Lists;
import lombok.extern.slf4j.Slf4j;

import java.util.ArrayList;
import java.util.List;
import java.util.concurrent.CompletableFuture;

@Slf4j
public class DemoTest {

public static void main(String[] args) throws Exception {
long beginTime = System.currentTimeMillis();

CompletableFuture<Integer> interfaceFuturesA = CompletableFuture.supplyAsync(() -> new InterfaceA().process());
CompletableFuture<Integer> interfaceFuturesB = CompletableFuture.supplyAsync(() -> new InterfaceB().process());
CompletableFuture<List<Integer>> future = CompletableFuture
.allOf(interfaceFuturesA, interfaceFuturesB)
.thenApply((none) -> {
List<Integer> dataList = new ArrayList<>(2);
try {
dataList.add(interfaceFuturesA.get());
dataList.add(interfaceFuturesB.get());
} catch (Exception e) {
log.error("执行异常");
}
return dataList;
}).exceptionally(e -> Lists.newArrayList());

int result = future.get().get(0) + future.get().get(1);
log.info("执行结果:{} 耗时:{}", result, System.currentTimeMillis() - beginTime);
}

@Slf4j
public final static class InterfaceA {
Integer result = 1;

public int process() {
long beginTime = System.currentTimeMillis();
try {
Thread.sleep(2000);
} catch (Exception e) {
log.error("InterfaceA.process Exception");
}
log.info("执行接口InterfaceA.process 耗时:{}ms", System.currentTimeMillis() - beginTime);
return result;
}
}

@Slf4j
public final static class InterfaceB {
Integer result = 1;

public int process() {
long beginTime = System.currentTimeMillis();
try {
Thread.sleep(2000);
} catch (Exception e) {
log.error("InterfaceB.process Exception");
}
log.info("执行接口InterfaceB.process 耗时:{}ms", System.currentTimeMillis() - beginTime);
return result;
}
}
}

执行结果:

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22:31:44.822 [ForkJoinPool.commonPool-worker-5] INFO DemoTest$InterfaceB - 执行接口InterfaceB.process 耗时:2005ms
22:31:44.822 [ForkJoinPool.commonPool-worker-3] INFO DemoTest$InterfaceA - 执行接口InterfaceA.process 耗时:2002ms
22:31:44.831 [main] INFO DemoTest - 执行结果:2 耗时:2027

优化时注意点

  • 使用线程池防止内存溢出风险
  • 执行结果容器可自行根据需要设置
  • 接口粒度可根据实际业务情况组合和拆分

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