也就是说,如果工作表中有1000000条记录,则数据表应根据当前循环中foreach当前项的位置,以100条为一批进行数据获取。
欢迎任何指针或建议。
**我现在没有带有Visual Studio的PC,所以这段代码还没有经过测试,直到我晚些时候才能测试它。
但它仍然会给你一个大致的思路,告诉你需要做什么。
private void ExcelDataPages(int firstRecord, int numberOfRecords)
{
Excel.Application dataApp = new Excel.Application();
Excel.Workbook dataWorkbook = new Excel.Workbook();
int x = 0;
dataWorkbook.DisplayAlerts = false;
dataWorkbook.Visible = false;
dataWorkbook.AutomationSecurity = Microsoft.Office.Core.MsoAutomationSecurity.msoAutomationSecurityLow;
dataWorkbook = dataApp.Open(@"C:\Test\YourWorkbook.xlsx");
try
{
Excel.Worksheet dataSheet = dataWorkbook.Sheet("Name of Sheet");
while (x < numberOfRecords)
{
Range currentRange = dataSheet.Rows[firstRecord + x]; //For all columns in row
foreach (Range r in currentRange.Cells) //currentRange represents all the columns in the row
{
// do what you need to with the Data here.
}
x++;
}
}
catch (Exception ex)
{
//Enter in Error handling
}
dataWorkbook.Close(false); //Depending on how quick you will access the next batch of data, you may not want to close the Workbook, reducing load time each time. This may also mean you need to move the open of the workbook to a higher level in your class, or if this is the main process of the app, make it static, stopping the garbage collector from destroying the connection.
dataApp.Quit();
}
请尝试以下代码 - 它使用NuGet包DocumentFormat.OpenXml
。 代码来自Using OpenXmlReader,但我修改了它以向DataTable添加数据。由于您需要多次从同一Excel文件读取数据,因此最好使用SpreadSheetDocument的实例打开Excel文件,并在完成后将其处理掉。由于SpreedSheetDocument实例需要在应用程序退出之前被处理掉,因此使用了IDisposable
。
在“ToDo”处,您需要使用自己的代码替换创建DataTable列的代码,以创建适合您项目的正确列。
我使用包含大约15,000行的Excel文件测试了下面的代码。每次读取100行时,第一次读取大约需要500毫秒-800毫秒,而随后的读取大约需要100毫秒-400毫秒。
创建一个类(名称:HelperOpenXml)
HelperOpenXml.cs
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using DocumentFormat.OpenXml;
using DocumentFormat.OpenXml.Packaging;
using DocumentFormat.OpenXml.Spreadsheet;
using System.Data;
using System.Diagnostics;
namespace ExcelReadSpecifiedRowsUsingOpenXml
{
public class HelperOpenXml : IDisposable
{
public string Filename { get; private set; } = string.Empty;
public int RowCount { get; private set; } = 0;
private SpreadsheetDocument spreadsheetDocument = null;
private DataTable dt = null;
public HelperOpenXml(string filename)
{
this.Filename = filename;
}
public void Dispose()
{
if (spreadsheetDocument != null)
{
try
{
spreadsheetDocument.Dispose();
dt.Clear();
}
catch(Exception ex)
{
throw ex;
}
}
}
public DataTable GetRowsSax(int startRow, int endRow, bool firstRowIsHeader = false)
{
int startIndex = startRow;
int endIndex = endRow;
if (firstRowIsHeader)
{
//if first row is header, increment by 1
startIndex = startRow + 1;
endIndex = endRow + 1;
}
if (spreadsheetDocument == null)
{
//create new instance
spreadsheetDocument = SpreadsheetDocument.Open(Filename, false);
//create new instance
dt = new DataTable();
//ToDo: replace 'dt.Columns.Add(...)' below with your code to create the DataTable columns
//add columns to DataTable
dt.Columns.Add("A");
dt.Columns.Add("B");
dt.Columns.Add("C");
dt.Columns.Add("D");
dt.Columns.Add("E");
dt.Columns.Add("F");
dt.Columns.Add("G");
dt.Columns.Add("H");
dt.Columns.Add("I");
dt.Columns.Add("J");
dt.Columns.Add("K");
}
else
{
//remove existing data from DataTable
dt.Rows.Clear();
}
WorkbookPart workbookPart = spreadsheetDocument.WorkbookPart;
int numWorkSheetParts = 0;
foreach (WorksheetPart worksheetPart in workbookPart.WorksheetParts)
{
using (OpenXmlReader reader = OpenXmlReader.Create(worksheetPart))
{
int rowIndex = 0;
//use the reader to read the XML
while (reader.Read())
{
if (reader.ElementType == typeof(Row))
{
reader.ReadFirstChild();
List<string> cValues = new List<string>();
int colIndex = 0;
do
{
//only get data from desired rows
if ((rowIndex > 0 && rowIndex >= startIndex && rowIndex <= endIndex) ||
(rowIndex == 0 && !firstRowIsHeader && rowIndex >= startIndex && rowIndex <= endIndex))
{
if (reader.ElementType == typeof(Cell))
{
Cell c = (Cell)reader.LoadCurrentElement();
string cellRef = c.CellReference; //ex: A1, B1, ..., A2, B2
string cellValue = string.Empty;
//string/text data is stored in SharedString
if (c.DataType != null && c.DataType == CellValues.SharedString)
{
SharedStringItem ssi = workbookPart.SharedStringTablePart.SharedStringTable.Elements<SharedStringItem>().ElementAt(int.Parse(c.CellValue.InnerText));
cellValue = ssi.Text.Text;
}
else
{
cellValue = c.CellValue.InnerText;
}
//Debug.WriteLine("{0}: {1} ", c.CellReference, cellValue);
//add value to List which is used to add a row to the DataTable
cValues.Add(cellValue);
}
}
colIndex += 1; //increment
} while (reader.ReadNextSibling());
if (cValues.Count > 0)
{
//if List contains data, use it to add row to DataTable
dt.Rows.Add(cValues.ToArray());
}
rowIndex += 1; //increment
if (rowIndex > endIndex)
{
break; //exit loop
}
}
}
}
numWorkSheetParts += 1; //increment
}
DisplayDataTableData(dt); //display data in DataTable
return dt;
}
private void DisplayDataTableData(DataTable dt)
{
foreach (DataColumn dc in dt.Columns)
{
Debug.WriteLine("colName: " + dc.ColumnName);
}
foreach (DataRow r in dt.Rows)
{
Debug.WriteLine(r[0].ToString() + " " + r[1].ToString());
}
}
}
}
用法:
private string excelFilename = @"C:\Temp\Test.xlsx";
private HelperOpenXml helperOpenXml = null;
...
private void GetData(int startIndex, int endIndex, bool firstRowIsHeader)
{
helperOpenXml.GetRowsSax(startIndex, endIndex, firstRowIsHeader);
}
注意:在应用程序退出之前,一定要调用Dispose()
(例如:helperOpenXml.Dispose();
)。
更新:
OpenXML将日期存储为自1900年1月1日以来的天数。对于1900年1月1日之前的日期,它们存储在SharedString中。有关更多信息,请参见使用Open XML SDK从xlsx读取日期。
以下是代码片段:
Cell c = (Cell)reader.LoadCurrentElement();
...
string cellValue = string.Empty
...
cellValue = c.CellValue.InnerText;
double dateCellValue = 0;
Double.TryParse(cellValue, out dateCellValue);
DateTime dt = DateTime.FromOADate(dateCellValue);
cellValue = dt.ToString("yyyy/MM/dd");
Decimal.TryParse
将字符串值“1.71E+15”转换为Decimal。然后使用Decimal.ToString(...)
将其转换为所需的字符串格式。 - Tu deschizi eu inchid我使用EPPlus DLL的这段代码,请不要忘记添加引用。但是应该检查是否符合您的要求。
public DataTable ReadExcelDatatable(bool hasHeader = true)
{
using (var pck = new OfficeOpenXml.ExcelPackage())
{
using (var stream = File.OpenRead(this._fullPath))
{
pck.Load(stream);
}
var ws = pck.Workbook.Worksheets.First();
DataTable tbl = new DataTable();
int i = 1;
foreach (var firstRowCell in ws.Cells[1, 1, 1, ws.Dimension.End.Column])
{
//table head
tbl.Columns.Add(hasHeader ? firstRowCell.Text : string.Format("Column {0}", firstRowCell.Start.Column));
tbl.Columns.Add(_tableHead[i]);
i++;
}
var startRow = hasHeader ? 2 : 1;
for (int rowNum = startRow; rowNum <= ws.Dimension.End.Row; rowNum++)
{
var wsRow = ws.Cells[rowNum, 1, rowNum, ws.Dimension.End.Column];
DataRow row = tbl.Rows.Add();
foreach (var cell in wsRow)
{
row[cell.Start.Column - 1] = cell.Text;
}
}
return tbl;
}
}
ExcelDataReader
,附加信息请参见https://github.com/ExcelDataReader/ExcelDataReader
使用示例:
[Fact]
void Test_ExcelDataReader()
{
System.Text.Encoding.RegisterProvider(System.Text.CodePagesEncodingProvider.Instance);
var scriptPath = Path.GetDirectoryName(Util.CurrentQueryPath); // LinqPad script path
var filePath = $@"{scriptPath}\TestExcel.xlsx";
using (var stream = File.Open(filePath, FileMode.Open, FileAccess.Read))
{
// Auto-detect format, supports:
// - Binary Excel files (2.0-2003 format; *.xls)
// - OpenXml Excel files (2007 format; *.xlsx, *.xlsb)
using (var reader = ExcelDataReader.ExcelReaderFactory.CreateReader(stream))
{
var result = reader.AsDataSet();
// The result of each spreadsheet is in result.Tables
var t0 = result.Tables[0];
Assert.True(t0.Rows[0][0].Dump("R0C0").ToString()=="Hello", "Expected 'Hello'");
Assert.True(t0.Rows[0][1].Dump("R0C1").ToString()=="World!", "Expected 'World!'");
} // using
} // using
} // fact
在开始阅读之前,您需要按照以下方式设置编码提供程序:
System.Text.Encoding.RegisterProvider(
System.Text.CodePagesEncodingProvider.Instance);
单元格的寻址方式如下:
var t0 = result.Tables[0]; // table 0 is the first worksheet
var cell = t0.Rows[0][0]; // on table t0, read cell row 0 column 0
你可以轻松地通过以下方式使用 for
循环遍历行和列:
for (int r = 0; r < t0.Rows.Count; r++)
{
var row = t0.Rows[r];
var columns = row.ItemArray;
for (int c = 0; c < columns.Length; c++)
{
var cell = columns[c];
cell.Dump();
}
}
我会给你一个不同的答案。如果将一百万行数据加载到DataTable中性能较差,可以考虑使用驱动程序来加载数据:如何高效地打开大型Excel文件
DataSet excelDataSet = new DataSet();
string filePath = @"c:\temp\BigBook.xlsx";
// For .XLSXs we use =Microsoft.ACE.OLEDB.12.0;, for .XLS we'd use Microsoft.Jet.OLEDB.4.0; with "';Extended Properties=\"Excel 8.0;HDR=YES;\"";
string connectionString = "Provider=Microsoft.ACE.OLEDB.12.0;Data Source='" + filePath + "';Extended Properties=\"Excel 12.0;HDR=YES;\"";
using (OleDbConnection conn = new OleDbConnection(connectionString))
{
conn.Open();
OleDbDataAdapter objDA = new System.Data.OleDb.OleDbDataAdapter
("select * from [Sheet1$]", conn);
objDA.Fill(excelDataSet);
//dataGridView1.DataSource = excelDataSet.Tables[0];
}
接下来,使用DataView过滤DataSet的DataTable。使用DataView的RowFilter属性,您可以根据列值指定行的子集。
DataView prodView = new DataView(excelDataSet.Tables[0],
"UnitsInStock <= ReorderLevel",
"SupplierID, ProductName",
DataViewRowState.CurrentRows);
参考:https://www.c-sharpcorner.com/article/dataview-in-C-Sharp/
或者,您也可以直接使用DataTables的DefaultView RowFilter:
excelDataSet.Tables[0].DefaultView.RowFilter = "Amount >= 5000 and Amount <= 5999 and Name = 'StackOverflow'";