SpreadsheetGear for .NET为您提供了使用 .NET 中的 xls 和 xlsx 工作簿的 API。它比 OleDB 或 Excel COM 对象模型更容易使用和更快（继续阅读以获取一些证据）。
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下面是使用 SpreadsheetGear 创建 50,000 行 x 10 列工作簿的代码，将其保存到磁盘，然后使用 OleDb 和 SpreadsheetGear 对数字求和。SpreadsheetGear 在 0.31 秒内读取 500K 单元格，而使用 OleDB 则为 0.63 秒 - 快了两倍多。SpreadsheetGear 实际上创建和读取工作簿的时间比使用 OleDB 读取工作簿的时间要短。
代码如下。您可以查看现场样品或通过免费试用亲自试用。
using System;
using System.Data;
using System.Data.OleDb;
using SpreadsheetGear;
using SpreadsheetGear.Advanced.Cells;
using System.Diagnostics;
namespace SpreadsheetGearAndOleDBBenchmark
{
class Program
{
static void Main(string[] args)
{
// Warm up (get the code JITed).
BM(10, 10);
// Do it for real.
BM(50000, 10);
}
static void BM(int rows, int cols)
{
// Compare the performance of OleDB to SpreadsheetGear for reading
// workbooks. We sum numbers just to have something to do.
//
// Run on Windows Vista 32 bit, Visual Studio 2008, Release Build,
// Run Without Debugger:
// Create time: 0.25 seconds
// OleDb Time: 0.63 seconds
// SpreadsheetGear Time: 0.31 seconds
//
// SpreadsheetGear is more than twice as fast at reading. Furthermore,
// SpreadsheetGear can create the file and read it faster than OleDB
// can just read it.
string filename = @"C:\tmp\SpreadsheetGearOleDbBenchmark.xls";
Console.WriteLine("\nCreating {0} rows x {1} columns", rows, cols);
Stopwatch timer = Stopwatch.StartNew();
double createSum = CreateWorkbook(filename, rows, cols);
double createTime = timer.Elapsed.TotalSeconds;
Console.WriteLine("Create sum of {0} took {1} seconds.", createSum, createTime);
timer = Stopwatch.StartNew();
double oleDbSum = ReadWithOleDB(filename);
double oleDbTime = timer.Elapsed.TotalSeconds;
Console.WriteLine("OleDb sum of {0} took {1} seconds.", oleDbSum, oleDbTime);
timer = Stopwatch.StartNew();
double spreadsheetGearSum = ReadWithSpreadsheetGear(filename);
double spreadsheetGearTime = timer.Elapsed.TotalSeconds;
Console.WriteLine("SpreadsheetGear sum of {0} took {1} seconds.", spreadsheetGearSum, spreadsheetGearTime);
}
static double CreateWorkbook(string filename, int rows, int cols)
{
IWorkbook workbook = Factory.GetWorkbook();
IWorksheet worksheet = workbook.Worksheets[0];
IValues values = (IValues)worksheet;
double sum = 0.0;
Random rand = new Random();
// Put labels in the first row.
foreach (IRange cell in worksheet.Cells[0, 0, 0, cols - 1])
cell.Value = "Cell-" + cell.Address;
// Using IRange and foreach would be less code,
// but we'll do it the fast way.
for (int row = 1; row <= rows; row++)
{
for (int col = 0; col < cols; col++)
{
double number = rand.NextDouble();
sum += number;
values.SetNumber(row, col, number);
}
}
workbook.SaveAs(filename, FileFormat.Excel8);
return sum;
}
static double ReadWithSpreadsheetGear(string filename)
{
IWorkbook workbook = Factory.GetWorkbook(filename);
IWorksheet worksheet = workbook.Worksheets[0];
IValues values = (IValues)worksheet;
IRange usedRahge = worksheet.UsedRange;
int rowCount = usedRahge.RowCount;
int colCount = usedRahge.ColumnCount;
double sum = 0.0;
// We could use foreach (IRange cell in usedRange) for cleaner
// code, but this is faster.
for (int row = 1; row <= rowCount; row++)
{
for (int col = 0; col < colCount; col++)
{
IValue value = values[row, col];
if (value != null && value.Type == SpreadsheetGear.Advanced.Cells.ValueType.Number)
sum += value.Number;
}
}
return sum;
}
static double ReadWithOleDB(string filename)
{
String connectionString =
"Provider=Microsoft.Jet.OLEDB.4.0;" +
"Data Source=" + filename + ";" +
"Extended Properties=Excel 8.0;";
OleDbConnection connection = new OleDbConnection(connectionString);
connection.Open();
OleDbCommand selectCommand =new OleDbCommand("SELECT * FROM [Sheet1$]", connection);
OleDbDataAdapter dataAdapter = new OleDbDataAdapter();
dataAdapter.SelectCommand = selectCommand;
DataSet dataSet = new DataSet();
dataAdapter.Fill(dataSet);
connection.Close();
double sum = 0.0;
// We'll make some assumptions for brevity of the code.
DataTable dataTable = dataSet.Tables[0];
int cols = dataTable.Columns.Count;
foreach (DataRow row in dataTable.Rows)
{
for (int i = 0; i < cols; i++)
{
object val = row[i];
if (val is double)
sum += (double)val;
}
}
return sum;
}
}
}