[英]Bind gridview when column not exists in datatable but binding at itemtemplate
我正在旋转一个dataset ，然后将其绑定到网格视图。 当所有itemtemplates值都存在于透视表中时，如果在透视表中不存在任何列，那么在绑定gridview时，我会报错，这很好。 请帮助我，如果不存在任何列但我将其绑定到网格视图itemtemplate时，我将如何在网格视图中处理它。 下面是我的网格视图代码。
<asp:GridView ID="gvCoreUtilization" runat="server" BackColor="White" BorderColor="#cEcFcE"
BorderStyle="Solid" BorderWidth="1px" CellPadding="4" ForeColor="Black" OnRowCreated="grdPivot3_RowCreated"
AutoGenerateColumns="false" OnRowDataBound="grdCoreUtilization_RowDataBound">
<RowStyle BackColor="#F7F7DE" />
<FooterStyle BackColor="#CCCC99" />
<PagerStyle BackColor="#F7F7DE" ForeColor="Black" HorizontalAlign="Right" />
<SelectedRowStyle BackColor="#CE5D5A" Font-Bold="True" ForeColor="White" />
<HeaderStyle BackColor="#6B696B" Font-Bold="True" ForeColor="White" HorizontalAlign="Left" />
<AlternatingRowStyle BackColor="White" />
<Columns>
<asp:TemplateField>
<ItemTemplate>
<asp:Label ID="lblRoleID" Text='<%#Eval("RoleId") %>' runat="server" Visible="false"></asp:Label>
</ItemTemplate>
</asp:TemplateField>
<asp:TemplateField>
<HeaderTemplate>
SupervisorName
</HeaderTemplate>
<ItemTemplate>
<asp:Label ID="lblSupervisorName" Text='<%#Eval("SupervisorName") %>' runat="server"></asp:Label>
</ItemTemplate>
</asp:TemplateField>
<asp:TemplateField>
<HeaderTemplate>
UserECode
</HeaderTemplate>
<ItemTemplate>
<asp:Label ID="lblUserECode" Text='<%#Eval("UserECode") %>' runat="server"></asp:Label>
</ItemTemplate>
</asp:TemplateField>
<asp:TemplateField>
<HeaderTemplate>
UserName
</HeaderTemplate>
<ItemTemplate>
<asp:Label ID="lblUserName" Text='<%#Eval("UserName") %>' runat="server"></asp:Label>
</ItemTemplate>
</asp:TemplateField>
<asp:TemplateField>
<HeaderTemplate>
Designation
</HeaderTemplate>
<ItemTemplate>
<asp:Label ID="lblDesignation" Text='<%#Eval("Designation") %>' runat="server"></asp:Label>
</ItemTemplate>
</asp:TemplateField>
<asp:TemplateField>
<HeaderTemplate>
L & D Training%
</HeaderTemplate>
<ItemTemplate>
<asp:Label ID="lblLDTraining" Text='<%#Eval("L & D Training%") %>' runat="server"></asp:Label>
</ItemTemplate>
</asp:TemplateField>
<asp:TemplateField>
<HeaderTemplate>
Non Production%
</HeaderTemplate>
<ItemTemplate>
<asp:Label ID="lblNonProduction" Text='<%#Eval("Non Production%") %>' runat="server"></asp:Label>
</ItemTemplate>
</asp:TemplateField>
<asp:TemplateField>
<HeaderTemplate>
Process Support%
</HeaderTemplate>
<ItemTemplate>
<asp:Label ID="lblProcessSupport" Text='<%#Eval("Process Support%") %>' runat="server"></asp:Label>
</ItemTemplate>
</asp:TemplateField>
<asp:TemplateField>
<HeaderTemplate>
Process Training%
</HeaderTemplate>
<ItemTemplate>
<asp:Label ID="lblProcessTraining" Text='<%#Eval("Process Training%") %>' runat="server"></asp:Label>
</ItemTemplate>
</asp:TemplateField>
<asp:TemplateField>
<HeaderTemplate>
Production%
</HeaderTemplate>
<ItemTemplate>
<asp:Label ID="lblProduction" Text='<%#Eval("Production%") %>' runat="server"></asp:Label>
</ItemTemplate>
</asp:TemplateField>
<asp:TemplateField>
<HeaderTemplate>
System Downtime%
</HeaderTemplate>
<ItemTemplate>
<asp:Label ID="lblSystemDowntime" Text='<%#Eval("System Downtime%") %>' runat="server"></asp:Label>
</ItemTemplate>
</asp:TemplateField>
<asp:TemplateField>
<HeaderTemplate>
Grand Total%
</HeaderTemplate>
<ItemTemplate>
<asp:Label ID="lblGrandTotal" Text='<%#Eval("Grand Total%") %>' runat="server"></asp:Label>
</ItemTemplate>
</asp:TemplateField>
</Columns>
</asp:GridView>
实际上， "L & D Training%" ， "Non Production%" ， "Process Support% ”， "Process Training%" ， "Production%" ， "System Downtime%" ， "Grand Total%"是我关注的关键列。对于某些用户，这些列中的一些不存在，并且在绑定网格时出现错误。
下面是我正在做数据透视的Pivot类的代码：
private DataTable _SourceTable = new DataTable();
private IEnumerable<DataRow> _Source = new List<DataRow>();
public Pivot(DataTable SourceTable)
{
_SourceTable = SourceTable;
_Source = SourceTable.Rows.Cast<DataRow>();
}
public DataTable PivotData(string DataField, AggregateFunction Aggregate, string[] RowFields, string[] ColumnFields)
{
DataTable dt = new DataTable();
string Separator = ".";
var RowList = _SourceTable.DefaultView.ToTable(true, RowFields).AsEnumerable().ToList();
for (int index = RowFields.Count() - 1; index >= 0; index--)
RowList = RowList.OrderBy(x => x.Field<object>(RowFields[index])).ToList();
// Gets the list of columns .(dot) separated.
var ColList = (from x in _SourceTable.AsEnumerable()
select new
{
Name = ColumnFields.Select(n => x.Field<object>(n))
.Aggregate((a, b) => a += Separator + b.ToString())
})
.Distinct()
.OrderBy(m => m.Name);
//dt.Columns.Add(RowFields);
foreach (string s in RowFields)
dt.Columns.Add(s);
foreach (var col in ColList)
dt.Columns.Add(col.Name.ToString()); // Cretes the result columns.//
foreach (var RowName in RowList)
{
DataRow row = dt.NewRow();
string strFilter = string.Empty;
foreach (string Field in RowFields)
{
row[Field] = RowName[Field];
strFilter += " and " + Field + " = '" + RowName[Field].ToString() + "'";
}
strFilter = strFilter.Substring(5);
foreach (var col in ColList)
{
string filter = strFilter;
string[] strColValues = col.Name.ToString().Split(Separator.ToCharArray(), StringSplitOptions.None);
for (int i = 0; i < ColumnFields.Length; i++)
filter += " and " + ColumnFields[i] + " = '" + strColValues[i] + "'";
row[col.Name.ToString()] = GetData(filter, DataField, Aggregate);
}
dt.Rows.Add(row);
}
return dt;
}
public DataTable PivotAllocationData(string DataField, AggregateFunction Aggregate, string[] RowFields, string[] ColumnFields)
{
DataTable dt = new DataTable();
string Separator = ".";
var RowList = _SourceTable.DefaultView.ToTable(true, RowFields).AsEnumerable().ToList();
for (int index = RowFields.Count() - 1; index >= 0; index--)
RowList = RowList.OrderBy(x => x.Field<object>(RowFields[index])).ToList();
// Gets the list of columns .(dot) separated.
var ColList = (from x in _SourceTable.AsEnumerable()
select new
{
Name = ColumnFields.Select(n => x.Field<object>(n))
.Aggregate((a, b) => a += Separator + b.ToString())
})
.Distinct()
.OrderBy(m => m.Name);
//dt.Columns.Add(RowFields);
foreach (string s in RowFields)
dt.Columns.Add(s);
foreach (var col in ColList)
dt.Columns.Add(col.Name.ToString()); // Cretes the result columns.//
foreach (var RowName in RowList)
{
DataRow row = dt.NewRow();
string strFilter = string.Empty;
foreach (string Field in RowFields)
{
row[Field] = RowName[Field];
strFilter += " and " + Field + " = '" + RowName[Field].ToString() + "'";
}
strFilter = strFilter.Substring(5);
foreach (var col in ColList)
{
string filter = strFilter;
string[] strColValues = col.Name.ToString().Split(Separator.ToCharArray(), StringSplitOptions.None);
for (int i = 0; i < ColumnFields.Length; i++)
filter += " and " + ColumnFields[i] + " = '" + strColValues[i] + "'";
row[col.Name.ToString()] = GetAllocationData(filter, DataField, Aggregate);
}
dt.Rows.Add(row);
}
return dt;
}
/// <summary>
/// Retrives the data for matching RowField value and ColumnFields values with Aggregate function applied on them.
/// </summary>
/// <param name="Filter">DataTable Filter condition as a string</param>
/// <param name="DataField">The column name which needs to spread out in Data Part of the Pivoted table</param>
/// <param name="Aggregate">Enumeration to determine which function to apply to aggregate the data</param>
/// <returns></returns>
private object GetData(string Filter, string DataField, AggregateFunction Aggregate)
{
try
{
DataRow[] FilteredRows = _SourceTable.Select(Filter);
object[] objList = FilteredRows.Select(x => x.Field<object>(DataField)).ToArray();
switch (Aggregate)
{
case AggregateFunction.Average:
return GetAverage(objList);
case AggregateFunction.Count:
return objList.Count();
case AggregateFunction.Exists:
return (objList.Count() == 0) ? "False" : "True";
case AggregateFunction.First:
return GetFirst(objList);
case AggregateFunction.Last:
return GetLast(objList);
case AggregateFunction.Max:
return GetMax(objList);
case AggregateFunction.Min:
return GetMin(objList);
case AggregateFunction.Sum:
return GetSum(objList);
default:
return null;
}
}
catch (Exception ex)
{
return "#Error";
}
}
/// <summary>
/// Retrives the data for matching RowField value and ColumnFields values with Aggregate function applied on them.
/// </summary>
/// <param name="Filter">DataTable Filter condition as a string</param>
/// <param name="DataField">The column name which needs to spread out in Data Part of the Pivoted table</param>
/// <param name="Aggregate">Enumeration to determine which function to apply to aggregate the data</param>
/// <returns></returns>
private object GetAllocationData(string Filter, string DataField, AggregateFunction Aggregate)
{
try
{
DataRow[] FilteredRows = _SourceTable.Select(Filter);
object[] objList = FilteredRows.Select(x => x.Field<object>(DataField)).ToArray();
switch (Aggregate)
{
case AggregateFunction.Average:
return GetAverage(objList);
case AggregateFunction.Count:
return objList.Count();
case AggregateFunction.Exists:
return (objList.Count() == 0) ? "False" : "True";
case AggregateFunction.First:
return GetFirst(objList);
case AggregateFunction.Last:
return GetLast(objList);
case AggregateFunction.Max:
return GetMax(objList);
case AggregateFunction.Min:
return GetMin(objList);
case AggregateFunction.Sum:
return GetAllocationSum(objList);
default:
return null;
}
}
catch (Exception ex)
{
return "#Error";
}
}
private object GetAverage(object[] objList)
{
return objList.Count() == 0 ? null : (object)(Convert.ToDecimal(GetSum(objList)) / objList.Count());
}
private object GetSum(object[] objList)
{
return objList.Count() == 0 ? null : (object)(objList.Aggregate(new decimal(), (x, y) => x += Convert.ToDecimal(y)) + "%");
}
private object GetAllocationSum(object[] objList)
{
return objList.Count() == 0 ? null : (object)(objList.Aggregate(new decimal(), (x, y) => x += Convert.ToDecimal(y)));
}
private object GetFirst(object[] objList)
{
return (objList.Count() == 0) ? null : objList.First();
}
private object GetLast(object[] objList)
{
return (objList.Count() == 0) ? null : objList.Last();
}
private object GetMax(object[] objList)
{
return (objList.Count() == 0) ? null : objList.Max();
}
private object GetMin(object[] objList)
{
return (objList.Count() == 0) ? null : objList.Min();
}
public enum AggregateFunction
{Count = 1，Sum = 2，First = 3，Last = 4，Average = 5，Max = 6，Min = 7，存在= 8}
由于您尚未提供所使用的实际数据库。 您可以应用以下技巧。 事实是，您将需要创建一个包装器类，以提取您所拥有的所有数据，然后以定义良好的模式（对网格使用）格式化数据。
例如。 假设一个表中有3列，但另一个可以包含<> 3，依此类推。 由于您的gridview外观是相同的，因此创建一个包含gridview所有行的数据表。 创建一个提取所有数据并使用可用数据填充此数据表的函数，不可用的数据将由null或空白值填充。
这样，您可以减轻引发异常的问题。 将可变长度表转换为固定长度数据表的功能的实际实现将取决于用于创建这些可变长度数据表的实际逻辑以及它们如何相互映射。
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