发展环境:
我使用 Excel-Interop 从 DataGridView (dgv)导出excel文件。
当我保存超过150,000行时
OutOfMemoryException异常
被抛出。
{
object[,] valueObjArray = new object[rowCnt, colCnt];
int rowCnt = dgv.Rows.Count;
int colCnt = dgv.Columns.Count;
for (int rowIndex = 0; rowIndex < rowCnt; rowIndex++)
{
for (int colIndex = 0; colIndex < colCnt; colIndex++)
{
valueObjArray[rowIndex, colIndex] = dgv[colIndex, rowIndex].Value;
}
}
_workSheet.get_Range("A1", Convert.ToChar(colCnt + 64).ToString() + "1").Value2 = headerObjArray;
_workSheet.get_Range("A2", Convert.ToChar(colCnt + 64).ToString() + (rowCnt + 1).ToString()).Value2 = valueObjArray;
_workSheet.get_Range("B2", "B" + (rowCnt+1).ToString()).NumberFormat = "yyyy-mm-dd hh:mm";
_workBook.SaveAs(path);
}
这是加速我所知道的最好方法。
但是,在监控RAM之后,我认为它会导致内存增加。当内存使用率达到约900Mb时抛出异常。
如何捕获此异常?
答案 0 :(得分:3)
尝试分批进行:
//We will call SaveAs method many times and we don't want to be asked
//if a file should be overwritten every time.
xlApp.DisplayAlerts = false
int rowCnt = dgv.Rows.Count;
int colCnt = dgv.Columns.Count;
int batchSize = 100000; //Try to experiment with other values
int currentRow = 0;
object[,] valueObjArray = new object[batchSize, colCnt];
_workSheet.get_Range("A1", Convert.ToChar(colCnt + 64).ToString() + "1").Value2 = headerObjArray;
while (currentRow < rowCnt)
{
for (int rowIndex = 0; rowIndex < batchSize && currentRow + rowIndex < rowCnt; rowIndex++)
{
for (int colIndex = 0; colIndex < colCnt; colIndex++)
{
valueObjArray[rowIndex, colIndex] =
dgv[colIndex, currentRow + rowIndex].Value;
}
}
ws.get_Range("A2", Convert.ToChar(colCnt + 64).ToString() + (currentRow + batchSize + 1).ToString()).Value2 = valueObjArray;
ws.get_Range("B2", "B" + (currentRow + batchSize + 1).ToString()).NumberFormat = "yyyy-mm-dd hh:mm";
wb.SaveAs("a.xlsx");
currentRow += batchSize;
}
我以这种方式节省了100万行。我使用假数据对其进行了测试,因此可能需要进行一些微小的更改/修复。