Updating DataRow

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  • Start date Start date
M

Microsoft News

I'm splitting a csv file into records and then into string fields. Then I
load the string fields into a new DataRow using ItemArray property. I set
the DefaultValue of the fields to the approprate type. This part is very
fast but then I have to load the columns based on the datatype and convert
the string to the correct column datatype and check for string.empty. This
is very slow. Is there a faster way to do this process?
 
Below is the OnChanging event handler that is slow processing the column
change events. The largest group of fields are strings then numerics a few
dates in yyyyMMdd hh:mm:ss format. I evaluate the database column data type
to know how to convert the string containing the data into the correct data
type.

protected void OnColumnChanging(object sender, DataColumnChangeEventArgs
args)
{
if (args.ProposedValue.ToString() == string.Empty)
{
args.ProposedValue = args.Column.DefaultValue;
return;
}
switch (Type.GetTypeCode(args.Column.DataType))
{
case TypeCode.DateTime:
args.ProposedValue = DateTime.ParseExact(args.ProposedValue.ToString(),
((args.ProposedValue.ToString().Length > 8) ? LONGDATETIMEMASK :
SHORTDATETIMEMASK), CultureInfo.CurrentCulture.DateTimeFormat);
break;
case TypeCode.Int16:
args.ProposedValue = Convert.ToInt16(args.ProposedValue);
break;
case TypeCode.Int32:
args.ProposedValue = Convert.ToInt32(args.ProposedValue);
break;
case TypeCode.Int64:
args.ProposedValue = Convert.ToInt64(args.ProposedValue);
break;
case TypeCode.Decimal:
args.ProposedValue = Convert.ToDecimal(args.ProposedValue);
break;
case TypeCode.Char:
args.ProposedValue = args.ProposedValue.ToString().Substring(0, 1);
break;
case TypeCode.Boolean:
args.ProposedValue =
Convert.ToBoolean(args.ProposedValue.ToString().Substring(0, 1));
break;
}
}
}
 
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