flex 导出Excel功能实现

方法一：

1.Excel导出主要代码：

try
   {
    var bytes: ByteArray = new ByteArray();
    bytes.writeMultiByte(DataGridExporter.exportSCV(dataGrid),"cn-gb");
    var fr:FileReference = new FileReference();
    var date:Date = new Date();
    var dateTime:String = date.fullYear.toString() + "年" + (Number(date.month) + 1).toString() + "月" + date.date.toString() + "日";
    var excelName:String = dateTime + filename;
    
    fr.save(bytes,excelName);
   }
   catch(e:Error)
   {
    MapUni.errorWindow(e.toString());
   }

2.调用的类DataGridExporter：

public class DataGridExporter
 {
  public function DataGridExporter()
  {
   
  }

public static function exportSCV(dg:DataGrid,csvSeparator:String="\t",lineSeparator:String="\n"):String
  {
   var dataStr:String="";
   var columns:Array=dg.columns;
   var columnCount:int=columns.length;
   var column:DataGridColumn;
   var header:String="";
   var headerGenerated:Boolean=false;
   var dataProvider:Object=dg.dataProvider;
   var rowCount:int=dataProvider.length;
   var dp:Object=null;
   var cursor:IViewCursor=dataProvider.createCursor();
   
   var j:int = 0;
   
   while(!cursor.afterLast)
   {
    var obj:Object=null;
    obj = cursor.current;
    for(var k:int = 0; k <columnCount;k++)
    {
     column=columns[k];
     if(!column.visible)
     {
      continue;
     }
     dataStr += "\""+column.itemToLabel(obj)+"\"";
     if(k<(columnCount-1))
     {
      dataStr+=csvSeparator;
      
     }
     if(!headerGenerated)
     {
      header+="\""+column.headerText+"\"";
      if(k<(columnCount-1))
      {
       header+=csvSeparator;
      }
      
     }
    }
    headerGenerated=true;
    
    if(j<(rowCount-1))
    {
     dataStr+=lineSeparator;
    }
    j++;
    cursor.moveNext();
   }
   
   dataProvider=null;
   columns=null;
   column=null;
   return (header+"\r\n"+dataStr);
    
  }
  
 方法二：

1.var excelFactory:SaveExcelField = new SaveExcelField();

excelFactory.ExportToExcel(dataGrid, "hendText",true);

public function ExportToExcel(dataGrid:DataGrid,filename:String, allData:Boolean):void
  {
   try
   {
    var fields:Array = new Array();
    var sheet:Sheet = new Sheet();    
    var dataProviderCollection:ArrayCollection =dataGrid.dataProvider as ArrayCollection;   
    
    
    var i:int = 0;
    var columns:Array = dataGrid.columns;
    
    
    var rowCount:int = dataProviderCollection.length;
    
    if(allData)
    {
     sheet.resize(rowCount+1,dataGrid.columnCount);
     
     columns.pop();
     
     
    }
    else
    {
     sheet.resize(rowCount+1,dataGrid.columnCount);
    
        /* 
     for (var m:int=0;m<columns.length;m++)
     {
      var field1:DataGridColumn=columns[m] as DataGridColumn;
      //var field:DataGridColumn in columns
      fields.push(field1.dataField.toString());
      sheet.setCell(0,i,field1.headerText.toString());
      i++;
     }*/
    
    }
    //sheet.resize(rowCount+1,dataGrid.columnCount-1);
   
    for each (var field:DataGridColumn in columns)
    {
     fields.push(field.dataField.toString());
     sheet.setCell(0,i,field.headerText.toString());
     i++;
    }
   
    
    
    
    for(var r:int=0;r<rowCount;r++)
    {
     var record:Object =dataProviderCollection.getItemAt(r);
     insertRecordInSheet(r+1,sheet,record,fields);
    }
    var xls:ExcelFile = new ExcelFile();
    xls.sheets.addItem(sheet);
    
    var bytes: ByteArray = xls.saveToByteArray();
    var fr:FileReference = new FileReference();
    
    fr.save(bytes,filename);
   }
   catch(e:Error)
   {
    MapUni.errorWindow(e.toString());
   }
   
  }