package com.zy.asrs.excel; import com.alibaba.excel.context.AnalysisContext; import com.alibaba.excel.read.listener.ReadListener; import com.alibaba.excel.util.ListUtils; import com.alibaba.fastjson.JSON; import com.zy.asrs.controller.AgvMobileController; import com.zy.asrs.entity.Order; import com.zy.asrs.service.OrderService; import org.slf4j.Logger; import org.slf4j.LoggerFactory; import java.util.List; public class CloseOrderReadListener implements ReadListener { private static final Logger log = LoggerFactory.getLogger(CloseOrderReadListener.class); /** * 每隔5条存储数据库,实际使用中可以100条,然后清理list ,方便内存回收 */ private static final int BATCH_COUNT = 300; /** * 缓存的数据 */ private List cachedDataList = ListUtils.newArrayListWithExpectedSize(BATCH_COUNT); private OrderService orderService; /** * 如果使用了spring,请使用这个构造方法。每次创建Listener的时候需要把spring管理的类传进来 * * @param orderService */ public CloseOrderReadListener(OrderService orderService) { this.orderService = orderService; } /** * 这个每一条数据解析都会来调用 * * @param data one row value. Is is same as * @param context */ @Override public void invoke(ExcelOrder data, AnalysisContext context) { log.info("解析到一条数据:{}", JSON.toJSONString(data)); cachedDataList.add(data); // 达到BATCH_COUNT了,需要去存储一次数据库,防止数据几万条数据在内存,容易OOM if (cachedDataList.size() >= BATCH_COUNT) { saveData(); // 存储完成清理 list cachedDataList = ListUtils.newArrayListWithExpectedSize(BATCH_COUNT); } } /** * 所有数据解析完成了 都会来调用 * * @param context */ @Override public void doAfterAllAnalysed(AnalysisContext context) { // 这里也要保存数据,确保最后遗留的数据也存储到数据库 saveData(); log.info("所有数据解析完成!"); } /** * 加上存储数据库 */ private void saveData() { log.info("{}条数据,开始操作数据库!", cachedDataList.size()); for (ExcelOrder excelOrder : cachedDataList) { Order order = orderService.selectByNo(excelOrder.getOrderNo()); if (order != null) { orderService.updateSettle(order.getId(), 6L, 9529L); } } log.info("存储数据库成功!"); } }