I am exporting a 1200 X 800 matrix (indexMatrix) to a excel file using the standard Microsoft.Office.Interop.Excel. The app works, just that it is really really really slow(
There are three ways to do this, 2 of which are mentioned in different answers by others:
All the three methods above are very fast. I could write data with a size of 90000 rows and 100 columns in around 6 seconds.
P.S. They didn't however solve my problem with formatting the data for borders, font styles, colors, cell merging etc.
You are updating individual cells. That's going to be very slow. If you think about it, each time you update a cell, an RPC call will be marshalled to the Excel process.
It will be much faster if you assign your two dimensional array of values to an Excel Range of the same dimensions in a single statement (one cross-process call) instead of your current 1200 x 800 = 960,000 cross-process calls.
Something like:
// Get dimensions of the 2-d array
int rowCount = indexMatrix.GetLength(0);
int columnCount = indexMatrix.GetLength(1);
// Get an Excel Range of the same dimensions
Excel.Range range = (Excel.Range) xlWorkSheet.Cells[1,1];
range = range.get_Resize(rowCount, columnCount);
// Assign the 2-d array to the Excel Range
range.set_Value(Excel.XlRangeValueDataType.xlRangeValueDefault, indexMatrix);
Actually, to be pedantic, there are three cross-process calls in the above code (.Cells, .get_Resize and .set_Value), and there are two calls per iteration in your code (.Cells get and an implicit .set_Value) for a total of 1200 x 800 x 2 = 1,920,000.
Note
range.get_Resize
and range.set_Value
were needed for an old version of the Excel interop library I was using when this post was first authored. These days you can use range.Resize
and range.Value
as noted in the comment by @The1nk.