随着业务倒退,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,这时候接口就须要进行性能优化了,当然性能优化次要跟业务相干波及革新点可能各不相同,这里就来介绍异步调用多个接口缩小响应工夫
实用条件
- 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
优化前调用形式
优化前的代码依照顺序调用形式:
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("执行后果:{} 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;
}
}
}
执行后果:
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 - 执行后果:2 耗时:4018
优化后调用形式
优化后的代码依照异步调用形式:
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("执行后果:{} 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;
}
}
}
执行后果:
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 - 执行后果:2 耗时:2020
此形式还能够联合 CompletionService 可实现异步工作和执行后果拆散,大家能够自行搜寻实际
弱小的 CompletableFuture JDK1.8
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("执行异样");
}
return dataList;
}).exceptionally(e -> Lists.newArrayList());
int result = future.get().get(0) + future.get().get(1);
log.info("执行后果:{} 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;
}
}
}
执行后果:
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 - 执行后果:2 耗时:2027
优化时留神点
- 应用线程池避免内存溢出危险
- 执行后果容器可自行依据须要设置
- 接口粒度可依据理论业务状况组合和拆分