split one big datatable to two separated datatables - linq

Question

I´m exporting datatables to Excel workbook. Problem is that the datatable holds 90000 rows and excel can only hold 67000 rows in every sheet.
So..
How can i divide one big datatable to two datatables, maybe with Linq ?
Then i can have datatable1 in sheet1 and datatable2 in sheet2
Sincerly
agh

Answer 1

Assuming that you're getting the 90,000 rows for this DataTable from a database somewhere, the most efficient approach would be to modify your SELECT statement into two new SELECT statements, each of which returns < 67,000 rows, and then do everything else the same.

Answer 2

Split your recordset. Perform one SELECT that extracts all 90,000 rows, and split it on Excel import step.

Answer 3

private List<DataTable> CloneTable(DataTable tableToClone, int countLimit)//Split function
{
List<DataTable> tables = new List<DataTable>();
int count = 0;
DataTable copyTable = null;
foreach (DataRow dr in tableToClone.Rows)
{
if ((count++ % countLimit) == 0)
{
copyTable = new DataTable();
copyTable = tableToClone.Clone();
copyTable.TableName = "Sample" + count;
tables.Add(copyTable);
}
copyTable.ImportRow(dr);
}
return tables;
}
protected void LinkReport_Click(object sender, EventArgs e)
{
DataTable dt2 = (DataTable)ViewState["dtab"];
List<DataTable> dt1 = CloneTable(dt2, 5);
DataSet ds = new DataSet("dst");
for (int i = 0; i < dt1.Count; i++)
{
ds.Tables.Add(dt1[i]);
}
string filePath = Server.MapPath("Reports/").ToString() + "master.xls";
FileInfo file = new FileInfo(filePath);
if (file.Exists)
{
file.Delete();
}
Export(ds, filePath);// Export into Excel
}
Clone - The fastest method to create tables with original columns structure is Clone method.
Export into Excel
private void releaseObject(object obj)
{
try
{
System.Runtime.InteropServices.Marshal.ReleaseComObject(obj);
obj = null;
}
catch (Exception ex)
{
obj = null;
}
finally
{
GC.Collect();
}
}
public void Export(DataSet ds, string filePath)
{
string data = null;
string columnName = null;
int i = 0;
int j = 0;
Excel.Application xlApp;
Excel.Workbook xlWorkBook;
//Excel.Worksheet xlWorkSheet;
Excel.Worksheet xlWorkSheet = null;
object misValue = System.Reflection.Missing.Value;
Excel.Range range;
xlApp = new Excel.ApplicationClass();
xlWorkBook = xlApp.Workbooks.Add(misValue);
//xlWorkSheet = (Excel.Worksheet)xlWorkBook.Worksheets.get_Item(1);
for (int l = 0; l < ds.Tables.Count; l++)
{
xlWorkSheet = (Excel.Worksheet)xlWorkBook.Worksheets.get_Item(l + 1);
xlWorkSheet.Cells[1, 1] = "Report";
xlWorkSheet.get_Range("A1:D1", Type.Missing).Merge(Type.Missing);
xlWorkSheet.get_Range("A1", "D1").Font.Bold = true;
xlWorkSheet.Cells.Font.Name = "Courier New";
if (l == 0)
{
xlWorkSheet.Name = "Sheet1";
}
else if (l == 1)
{
xlWorkSheet.Name = "Sheet2";
}
else if (l == 2)
{
xlWorkSheet.Name = "Sheet3";
}
else if (l == 3)
{
xlWorkSheet.Name = "Sheet4";
}
else if (l == 4)
{
xlWorkSheet.Name = "Sheet5";
}
for (i = 0; i <= ds.Tables[l].Rows.Count - 1; i++)
{
for (j = 0; j <= ds.Tables[l].Columns.Count - 1; j++)
{
columnName = ds.Tables[l].Columns[j].ColumnName.ToString();
xlWorkSheet.Cells[3, j + 1] = columnName;
data = ds.Tables[l].Rows[i].ItemArray[j].ToString();
xlWorkSheet.Cells[i + 5, j + 1] = data;
}
}
}
//for (i = 0; i <= ds.Tables[0].Rows.Count - 1; i++)
//{
// for (j = 0; j <= ds.Tables[0].Columns.Count - 1; j++)
// {
// data = ds.Tables[0].Rows[i].ItemArray[j].ToString();
// xlWorkSheet1.Cells[i + 1, j + 1] = data;
// }
//}
xlWorkBook.SaveAs(filePath, Excel.XlFileFormat.xlWorkbookNormal, misValue, misValue, misValue, misValue, Excel.XlSaveAsAccessMode.xlExclusive, misValue, misValue, misValue, misValue, misValue);
xlWorkBook.Close(true, misValue, misValue);
xlApp.Quit();
// kill all excel processes
Process[] pros = Process.GetProcesses();
for (int p = 0; p < pros.Length; p++)
{
if (pros[p].ProcessName.ToLower().Contains("excel"))
{
pros[p].Kill();
break;
}
}
releaseObject(xlWorkSheet);
releaseObject(xlWorkBook);
releaseObject(xlApp);
}
Try this One.. I have Worked out in Visual Studio 2005

Answer 4

DataTable[] splittedtables = dt.AsEnumerable()
.Select((row, index) => new { row, index })
.GroupBy(x => x.index / Input From User) // integer division, the fractional part is truncated
.Select(g => g.Select(x => x.row).CopyToDataTable())
.ToArray();
This should work.