我在EPPlus和Spreadsheet Gear之间做了一个简单的性能测试,看看是否有任何显着差异可以证明购买Spreadsheet Gear是合理的.
我不是任何一个应用程序的专家,因此测试可能不是最有效的方式.
测试执行以下操作：
1.打开包含1000行和3列的现有Excel文件.将三个值保存到保存到List<>中的实体中.
2.打开一个新的Excel对象
3.使用每列的标题创建标题行(粗体).
4.回写1000个实体.
5.保存新的Excelfile.
如果我在EPPlus获胜后进行此测试(大约是EPPlus = 280ms,SG = 500ms).如果我连续10次运行测试(一个for循环打开,复制,保存10个单独的时间)Spreadsheet Gear更快(相当于每个文件：EPPlus = 165ms,SG = 95ms).对于20次测试,大约时间是EPPlus = 160ms / file和SG = 60ms / file.
看起来(至少在某种程度上)Spreadsheet Gears越多越快,我创建的文件越多.
任何人都可以解释为什么EPPlus在运行连续测试时速度较慢？我可以更改代码来改变这个吗？
EPPlus测试功能：
var timer = new Stopwatch();
timer.Start();
var data = new List<Item>();
using (var excelIn = new ExcelPackage(new FileInfo(folder + fileIn)))
{
var sheet = excelIn.Workbook.Worksheets[1];
var row = 2;
while (sheet.Cells[row, 1].Value != null)
{
data.Add(new Item()
{
Id = int.Parse(sheet.Cells[row, 1].Text),
Title = sheet.Cells[row, 2].Text,
Value = int.Parse(sheet.Cells[row, 3].Text)
});
row++;
}
}
using (var excelOut = new ExcelPackage())
{
var sheet = excelOut.Workbook.Worksheets.Add("Out");
sheet.Cells.LoadFromCollection(data);
sheet.InsertRow(1, 1);
sheet.Cells[1, 1, 1, 3].Style.Font.Bold = true;
sheet.Cells[1, 1].Value = "Id";
sheet.Cells[1, 2].Value = "Title";
sheet.Cells[1, 3].Value = "Value";
excelOut.SaveAs(new FileInfo(folder + "EPPlus_" + Guid.NewGuid() + ".xlsx"));
}
timer.Stop();
return timer.ElapsedMilliseconds;
电子表格齿轮：
var timer = new Stopwatch();
timer.Start();
var data = new List<Item>();
var excelIn = Factory.GetWorkbook(folder + fileIn);
var sheetIn = excelIn.Worksheets[0];
var rowIn = 1;
while (sheetIn.Cells[rowIn, 0].Value != null)
{
data.Add(new Item()
{
Id = int.Parse(sheetIn.Cells[rowIn, 0].Text),
Title = sheetIn.Cells[rowIn, 1].Text,
Value = int.Parse(sheetIn.Cells[rowIn, 2].Text)
});
rowIn++;
}
excelIn.Close();
var excelOut = Factory.GetWorkbook();
var sheetOut = excelOut.Worksheets.Add();
sheetOut.Name = "Out";
var rowOut = 0;
sheetOut.Cells[rowOut, 0, rowOut, 2].Font.Bold = true;
sheetOut.Cells[rowOut, 0].Value = "Id";
sheetOut.Cells[rowOut, 1].Value = "Title";
sheetOut.Cells[rowOut++, 2].Value = "Value";
foreach (var item in data)
{
sheetOut.Cells[rowOut, 0].Value = item.Id;
sheetOut.Cells[rowOut, 1].Value = item.Title;
sheetOut.Cells[rowOut++, 2].Value = item.Value;
}
excelOut.SaveAs(folder + "SpreadsheetGear_" + Guid.NewGuid() + ".xlsx", FileFormat.OpenXMLWorkbook);
excelOut.Close();
timer.Stop();
return timer.ElapsedMilliseconds;
主功能
var runs = 1;
var testerG = new TestSpreadsheetGear();
var testerE = new TestEpPlus();
var msE = 0.0;
var msG = 0.0;
var i = 0;
for (i = 0; i < runs; ++i)
{
msG += new TestSpreadsheetGear().Run(folder, originalFile);
}
for(i = 0; i < runs; ++i)
{
msE += new TestEpPlus().Run(folder, originalFile);
}
Console.WriteLine("Spreadsheet time: " + msG + ". Per file: " + msG / runs);
Console.WriteLine("EP Plus time: " + msE + ". Per file: " + msE / runs);
Console.ReadKey();
最佳答案 我相信你看到的结果的原因是,在第一次运行时,.NET CLR必须JIT代码.由于SpreadsheetGear是一个完整的电子表格引擎(与读/写库相对),JIT还有更多代码 – 因此SpreadsheetGear的首次运行时间比EPPlus要长(我在这里推测但是有很多经验)在过去10年中对.NET代码进行基准测试.
我没有安装EPPlus,但我确实编写了一个试图做同样事情的测试.使用SpreadsheetGear 2012由于我没有您的开始工作簿,我首先构建工作簿.然后,我使用了更优化的SpreadsheetGear API.我第一次运行时,SpreadsheetGear 2012获得141毫秒.第一次运行后,在运行Win7 x86的超频Core i7-980x和没有调试器的发布版本运行中,每次运行得到9或10毫秒.
我在下面粘贴了我的代码(只需将其粘贴到.NET 4.0 C#控制台应用程序中).
我还有一个想法是,这是一个非常小的测试案例.要真正看到SpreadsheetGear 2012的性能,请尝试使用100,000行甚至100万行.
免责声明：我拥有SpreadsheetGear LLC
using System;
using System.Collections.Generic;
using System.Diagnostics;
using SpreadsheetGear;
namespace SGvsEPPlus
{
class Program
{
internal struct Item
{
internal Item(int id, string title, int value)
{
Id = id;
Title = title;
Value = value;
}
internal int Id;
internal string Title;
internal int Value;
}
static void Test(int rows)
{
string filename = @"C:\tmp\MyWorkbook.xlsx";
Console.Write("Test({0})...", rows);
var timer = new Stopwatch();
// Create workbook since we don't have poster's original workbook.
timer.Restart();
var workbook = Factory.GetWorkbook();
var values = (SpreadsheetGear.Advanced.Cells.IValues)workbook.Worksheets[0];
for (int row = 1; row <= rows; row++)
{
values.SetNumber(row, 0, row);
values.SetText(row, 1, "Title " + row);
values.SetNumber(row, 2, row * 10);
}
Console.Write("Create workbook={0:0}...", timer.Elapsed.TotalMilliseconds);
// Save workbook
timer.Restart();
workbook.SaveAs(filename, FileFormat.OpenXMLWorkbook);
Console.Write("Save workbook={0:0}...", timer.Elapsed.TotalMilliseconds);
// Track total time of original test.
var totalTimer = Stopwatch.StartNew();
// Open workbook
timer.Restart();
var excelIn = Factory.GetWorkbook(filename);
Console.Write("Open excelIn={0:0}...", timer.Elapsed.TotalMilliseconds);
// Copy workbook to list
timer.Restart();
var sheetIn = excelIn.Worksheets[0];
var valuesIn = (SpreadsheetGear.Advanced.Cells.IValues)sheetIn;
var rowIn = 1;
var data = new List<Item>(rows);
while (valuesIn[rowIn, 0] != null)
{
data.Add(new Item(
(int)valuesIn[rowIn, 0].Number,
valuesIn[rowIn, 1].Text,
(int)valuesIn[rowIn, 2].Number));
rowIn++;
}
excelIn.Close(); // Not necessary but left for consistency.
Console.Write("excelIn->data={0:0}...", timer.Elapsed.TotalMilliseconds);
timer.Restart();
var excelOut = Factory.GetWorkbook();
var sheetOut = excelOut.Worksheets[0];
var valuesOut = (SpreadsheetGear.Advanced.Cells.IValues)sheetOut;
sheetOut.Name = "Out";
var rowOut = 0;
sheetOut.Cells[rowOut, 0, rowOut, 2].Font.Bold = true;
sheetOut.Cells[rowOut, 0].Value = "Id";
sheetOut.Cells[rowOut, 1].Value = "Title";
sheetOut.Cells[rowOut++, 2].Value = "Value";
foreach (var item in data)
{
valuesOut.SetNumber(rowOut, 0, item.Id);
valuesOut.SetText(rowOut, 1, item.Title);
valuesOut.SetNumber(rowOut, 2, item.Value);
rowOut++;
}
Console.Write("data->excelOut={0:0}...", timer.Elapsed.TotalMilliseconds);
timer.Restart();
excelOut.SaveAs(@"C:\tmp\SpreadsheetGear_" + Guid.NewGuid() + ".xlsx", FileFormat.OpenXMLWorkbook);
excelOut.Close(); // Again - not necessary.
Console.WriteLine("Save excelOut={0:0}...", timer.Elapsed.TotalMilliseconds);
Console.WriteLine(" Total={0:0}", totalTimer.Elapsed.TotalMilliseconds);
}
static void Main(string[] args)
{
// Do it three times with 1000 rows. Note that the first
// time takes longer because code must be JITted.
Test(1000);
Test(1000);
Test(1000);
}
}
}
