多线程实现千万数据的excel导出 java代码
时间: 2023-03-29 20:00:17 浏览: 124
可以使用Apache POI库来实现多线程的千万数据的Excel导出,具体实现可以参考以下代码:
```
public class ExcelExporter implements Runnable {
private int startRow;
private int endRow;
private String fileName;
public ExcelExporter(int startRow, int endRow, String fileName) {
this.startRow = startRow;
this.endRow = endRow;
this.fileName = fileName;
}
@Override
public void run() {
try {
Workbook workbook = new XSSFWorkbook();
Sheet sheet = workbook.createSheet("Sheet1");
// 创建表头
Row headerRow = sheet.createRow();
for (int i = ; i < headers.length; i++) {
Cell cell = headerRow.createCell(i);
cell.setCellValue(headers[i]);
}
// 填充数据
for (int i = startRow; i <= endRow; i++) {
Row row = sheet.createRow(i - startRow + 1);
for (int j = ; j < data[i].length; j++) {
Cell cell = row.createCell(j);
cell.setCellValue(data[i][j]);
}
}
// 导出Excel文件
FileOutputStream outputStream = new FileOutputStream(fileName);
workbook.write(outputStream);
outputStream.close();
} catch (Exception e) {
e.printStackTrace();
}
}
}
// 创建线程池
ExecutorService executorService = Executors.newFixedThreadPool(10);
// 分批导出Excel文件
int batchSize = 100000;
for (int i = ; i < data.length; i += batchSize) {
int startRow = i;
int endRow = Math.min(i + batchSize - 1, data.length - 1);
String fileName = "data_" + startRow + "_" + endRow + ".xlsx";
executorService.execute(new ExcelExporter(startRow, endRow, fileName));
}
// 关闭线程池
executorService.shutdown();
while (!executorService.isTerminated()) {
Thread.sleep(100);
}
```
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