Currently, I\'m using:
DataTable dt = CreateDataTableInSomeWay();
List list = new List();
foreach (DataRow dr in dt.Rows)
{
If anyone want's to create custom function to convert datatable to list
class Program
{
static void Main(string[] args)
{
DataTable table = GetDataTable();
var sw = new Stopwatch();
sw.Start();
LinqMethod(table);
sw.Stop();
Console.WriteLine("Elapsed time for Linq Method={0}", sw.ElapsedMilliseconds);
sw.Reset();
sw.Start();
ForEachMethod(table);
sw.Stop();
Console.WriteLine("Elapsed time for Foreach method={0}", sw.ElapsedMilliseconds);
Console.ReadKey();
}
private static DataTable GetDataTable()
{
var table = new DataTable();
table.Columns.Add("ID", typeof(double));
table.Columns.Add("CategoryName", typeof(string));
table.Columns.Add("Active", typeof(double));
var rand = new Random();
for (int i = 0; i < 100000; i++)
{
table.Rows.Add(i, "name" + i, rand.Next(0, 2));
}
return table;
}
private static void LinqMethod(DataTable table)
{
var list = table.AsEnumerable()
.Skip(1)
.Select(dr =>
new Category
{
Id = Convert.ToInt32(dr.Field("ID")),
CategoryName = dr.Field("CategoryName"),
IsActive =
dr.Field("Active") == 1 ? true : false
}).ToList();
}
private static void ForEachMethod(DataTable table)
{
var categoryList = new List(table.Rows.Count);
foreach (DataRow row in table.Rows)
{
var values = row.ItemArray;
var category = new Category()
{
Id = Convert.ToInt32(values[0]),
CategoryName = Convert.ToString(values[1]),
IsActive = (double)values[2] == 1 ? true : false
};
categoryList.Add(category);
}
}
private class Category
{
public int Id { get; set; }
public string CategoryName { get; set; }
public bool IsActive { get; set; }
}
}
If we execute above code, Foreach method finishes in 56ms while linq one takes 101ms ( for 1000 records). So Foreach method is better to use. Source:Ways to Convert Datatable to List in C# (with performance test example)