业务诉求:考虑到数据库数据日渐增多,导出会有全量数据的导出,多人同时导出可以会对服务性能造成影响,导出涉及到mysql查询的io操作,还涉及文件输入、输出流的io操作,所以对服务器的性能会影响的比较大;结合以上原因,对导出操作进行排队;
刚开始拿到这个需求,第一时间想到就是需要维护一个FIFO先进先出的队列,给定队列一个固定size,在队列里面的人进行排队进行数据导出,导出完成后立马出队列,下一个排队的人进行操作;还考虑到异步,可能还需要建个文件导出表,主要记录文件的导出情况,文件的存放地址,用户根据文件列表情况下载导出文件。
业务关系定义
分别是用户、导出队列、导出执行方法 ExportQueue:维护一条定长队列,可以获取队列里前后排队的用户,提供查询,队列如果已经满了,其余的人需要进行等待 User信息:排队执行导出方法对应用户; Export类:定义导出方法,异步执行,用户可以通过导出页面查看、下载,导出的文件;
图片
具体代码实现
ExportQueue队列
package com.example.system.config;
import com.example.system.api.domain.ExportUser;
import lombok.extern.slf4j.Slf4j;
import org.springframework.stereotype.Component;
import java.util.LinkedList;
@Slf4j
@Component
publicclass ExportQueue {
privatefinalint MAX_CAPACITY = 10; // 队列最大容量
private LinkedList<ExportUser> queue; // 用户队列
public ExportQueue(LinkedList<ExportUser> queue) {
this.queue = new LinkedList<>();
}
/**
* 排队队列添加
* @param sysUser
*/
public synchronized LinkedList<ExportUser> add(ExportUser sysUser) {
while (queue.size() >= MAX_CAPACITY) {
try {
log.info("当前排队人已满,请等待");
wait();
} catch (InterruptedException e) {
e.getMessage();
}
}
queue.add(sysUser);
log.info("目前导出队列排队人数:" + queue.size());
notifyAll();
return queue;
}
/**
* 获取排队队列下一个人
* @return
*/
public synchronized ExportUser getNextSysUser() {
while (queue.isEmpty()) {
try {
wait();
} catch (InterruptedException e) {
e.printStackTrace();
}
}
ExportUser sysUser = queue.remove();
notifyAll(); //唤醒
return sysUser;
}
}
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AbstractExport导出类
引入EasyExcel百万级别的导出功能
package com.example.system.config;
import cn.hutool.core.bean.BeanUtil;
import cn.hutool.core.util.PageUtil;
import com.alibaba.excel.EasyExcel;
import com.alibaba.excel.ExcelWriter;
import com.alibaba.excel.write.metadata.WriteSheet;
import com.example.system.api.domain.ExportUser;
import lombok.extern.slf4j.Slf4j;
import javax.servlet.http.HttpServletResponse;
import java.io.IOException;
import java.net.URLEncoder;
import java.util.List;
@Slf4j
publicabstractclass AbstractExport<T, K> {
public abstract void export(ExportUser sysUser) throws InterruptedException;
/**
* 导出
*
* @param response 输出流
* @param pageSize 每页大小
* @param t 导出条件
* @param k Excel内容实体类
* @param fileName 文件名称
*/
public void export(HttpServletResponse response, int pageSize, T t, Class<K> k, String fileName) throws Exception {
ExcelWriter writer = null;
try {
writer = getExcelWriter(response, fileName);
//查询导出总条数
int total = this.countExport(t);
//页数
int loopCount = PageUtil.totalPage(total, pageSize);
BeanUtil.setProperty(t, "pageSize", pageSize);
for (int i = 0; i < loopCount; i++) {
//开始页
BeanUtil.setProperty(t, "pageNum", PageUtil.getStart(i + 1, pageSize));
//获取Excel导出信息
List<K> kList = this.getExportDetail(t);
WriteSheet writeSheet = EasyExcel.writerSheet(fileName).head(k).build();
writer.write(kList, writeSheet);
}
} catch (Exception e) {
String msg = "导出" + fileName + "异常";
log.error(msg, e);
thrownew Exception(msg + e);
} finally {
if (writer != null) {
writer.finish();
}
}
}
public com.alibaba.excel.ExcelWriter getExcelWriter(HttpServletResponse response, String fileName) throws IOException {
response.setContentType("application/vnd.ms-excel");
response.setCharacterEncoding("utf-8");
// 这里URLEncoder.encode可以防止中文乱码 当然和easyexcel没有关系
String fileNameUtf = URLEncoder.encode(fileName, "UTF-8").replaceAll("\\+", "%20");
response.setHeader("Content-disposition", "attachment;filename*=utf-8''" + fileNameUtf + ".xlsx");
return EasyExcel.write(response.getOutputStream()).build();
}
/**
* (模版导出)
*
* @param t
* @param fileName
* @param response
*/
public abstract void complexFillWithTable(T t, String fileName, HttpServletResponse response);
/**
* 查询导出总条数
*
* @param t
* @return
*/
public abstract int countExport(T t);
/**
* 查询导出数据
*
* @param t
* @return
*/
public abstract List<K> getExportDetail(T t);
}
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ExportImpl导出实现方法
package com.example.system.service.impl;
import com.alibaba.excel.ExcelWriter;
import com.example.system.api.domain.ExportUser;
import com.example.system.config.AbstractExport;
import com.example.system.config.ExportQueue;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;
import javax.servlet.http.HttpServletResponse;
import java.io.IOException;
import java.util.LinkedList;
import java.util.List;
@Service
@Slf4j
publicclass ExportImpl extends AbstractExport {
@Autowired
private ExportQueue exportQueue;
//关注工众号:码猿技术专栏,回复关键词: 1111
//获取阿里内部Java性能调优手册
@Override
public void export(ExportUser sysUser) throws InterruptedException {
//导出
log.info("导出文件方法执行~~~~~~~~~");
// export(response,pageSize,t,k,fileName);
LinkedList<ExportUser> queue = exportQueue.add(sysUser);
log.info("导出队列:" + queue);
//休眠时间稍微设置大点,模拟导出处理时间
Thread.sleep(20000);
//导出成功后移除当前导出用户
ExportUser nextSysUser = exportQueue.getNextSysUser();
log.info("移除后获取下一个排队的用户: " + nextSysUser.getUserName());
}
@Override
public void export(HttpServletResponse response, int pageSize, Object o, Class k, String fileName) throws Exception {
super.export(response, pageSize, o, k, fileName);
}
@Override
public ExcelWriter getExcelWriter(HttpServletResponse response, String fileName) throws IOException {
returnsuper.getExcelWriter(response, fileName);
}
@Override
public void complexFillWithTable(Object o, String fileName, HttpServletResponse response) {
}
@Override
public int countExport(Object o) {
return0;
}
@Override
public List getExportDetail(Object o) {
returnnull;
}
}
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测试controller
package com.example.system.controller;
import com.example.system.api.domain.ExportUser;
import com.example.system.api.domain.SysUser;
import com.example.system.service.impl.ExportImpl;
import lombok.SneakyThrows;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestBody;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;
@RestController
@RequestMapping("/export")
@Slf4j
publicclass ExportController {
@Autowired
private ExportImpl export;
@PostMapping("/exportFile")
publicvoid exportFile() {
new Thread(new Runnable() {
@SneakyThrows
@Override
publicvoid run() {
Thread thread1 = Thread.currentThread();
ExportUser sysUser =new ExportUser();
sysUser.setUserName(thread1.getName());
export.export(sysUser);
}
}).start();
}
}
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测试结果
通过请求测试方法,限制了我们导出队列最大限制10次,队列场长度超过10次则无法进行继续提交;
第一次请求和第二次请求,间隔10秒,第一个用户导出完成后出列,下一个排队用户在队列首位,在进行导出请求排在上一个用户后面;
总结
其余的还未实现,导出文件的表的设计、oss文件上传、用户导出文件下载,还有高并发的场景下会不会出现什么问题,这些都还没有太考虑进去; 实现的方式应该挺多的,Redis的队列应该也是可以的,这里仅仅提供一个实现思路;