CompletableFuture实现异步并阻塞获取返回结果,巧用CompletableFuture返回值解决性能瓶颈,线程池,异步编排

CompletableFuture实现异步并阻塞获取返回结果,巧用CompletableFuture返回值解决性能瓶颈,线程池,异步编排

参考: https://blog.csdn.net/LUOHUAPINGWIN/article/details/122222011
      https://blog.csdn.net/sunquan291/article/details/103991184
      
      
配置: 
gulimall.thread.coreSize=20
gulimall.thread.maxSize=200
gulimall.thread.keepAliveTime=10

读取配置:
package com.xunqi.gulimall.order.config;

import lombok.Data;
import org.springframework.boot.context.properties.ConfigurationProperties;

/**
 * @Description:
 * @Created: with IntelliJ IDEA.
 * @author: 夏沫止水
 * @createTime: 2020-06-23 20:28
 **/

@ConfigurationProperties(prefix = "gulimall.thread")
// @Component
@Data
public class ThreadPoolConfigProperties {

    private Integer coreSize;

    private Integer maxSize;

    private Integer keepAliveTime;


}


注入线程池:
package com.xunqi.gulimall.order.config;

import org.springframework.boot.context.properties.EnableConfigurationProperties;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;

import java.util.concurrent.Executors;
import java.util.concurrent.LinkedBlockingDeque;
import java.util.concurrent.ThreadPoolExecutor;
import java.util.concurrent.TimeUnit;

/**
 * @Description: 线程池配置类
 * @Created: with IntelliJ IDEA.
 * @author: 夏沫止水
 * @createTime: 2020-06-23 20:24
 **/

@EnableConfigurationProperties(ThreadPoolConfigProperties.class)
@Configuration
public class MyThreadConfig {


    @Bean
    public ThreadPoolExecutor threadPoolExecutor(ThreadPoolConfigProperties pool) {
        return new ThreadPoolExecutor(
                pool.getCoreSize(),
                pool.getMaxSize(),
                pool.getKeepAliveTime(),
                TimeUnit.SECONDS,
                new LinkedBlockingDeque<>(100000),
                Executors.defaultThreadFactory(),
                new ThreadPoolExecutor.AbortPolicy()
        );
    }

}


使用:
    @Autowired
    private ThreadPoolExecutor threadPoolExecutor;
    
    
     @Override
    public List<WxUserInfo> getWxUserInfoByUid(String appid, List<Long> uidList) {
        // 数据太多了.分片执行
        List<List<Long>> uidListGroupList = CollectionUtil.split(uidList, 500);

        List<CompletableFuture<List<WxUserInfo>>> futures = uidListGroupList.stream().map(list -> {
            return CompletableFuture.supplyAsync(() -> {
                RestResult<List<WxUserInfo>> wxUserInfoByAppIdUid = passportFeignService.getWxUserInfoByAppIdUid(appid, list, appName);
                return wxUserInfoByAppIdUid.getData();
            }, threadPoolExecutor);
        }).collect(Collectors.toList());

        // List<WxUserInfo> collect = futures.stream().map(p -> {
        //     try {
        //         return p.get();
        //     } catch (InterruptedException e) {
        //         e.printStackTrace();
        //     } catch (ExecutionException e) {
        //         e.printStackTrace();
        //     }
        //     return null;
        // }).filter(Objects::nonNull).flatMap(List::stream).collect(Collectors.toList());

        List<WxUserInfo> biddingList = futures.stream().map(CompletableFuture::join).filter(Objects::nonNull).flatMap(List::stream).collect(Collectors.toList());
        return biddingList;
    }

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转载自blog.csdn.net/zhongguowangzhan/article/details/128433909