I have a DataTable that contains following columns: type,name,year,version. I want DataTables that contain unique combinations. The table is first divided into multiple tables that have unique name+year combinations. Those tables need to be split again into tables with a unique type. There are a total of 4 types, and 8 different combinations of name + year. So I'm trying to extract a total of 64 Datatables from a single Datatable.
I've tried to first get the distinct combinations of name + year. I've added them to a list(class containing name and Datatable) and if a row from the original table contains that combination i add it to a new DataTable.
DataTable distinctTable = table.DefaultView.ToTable(true, new string[] { name,year });
foreach(var combo in distinctTable)
{
complexlist.add(new ComplexList(row[name].ToString() + row[year].ToString()){table = table.Clone()});
}
foreach (DataRow row in table.Rows)
{
foreach(var item in complexlist)
{
if(item.Name == row[name].ToString() + row[year].ToString())
{
item.table.Rows.Add(row.ItemArray);
}
}
}
now i have 8 different tables and pretty much have to do the same process again to split by type.
Is there any cleaner and less complex way to do this?
Here's a linq solution. I haven't used DataTables in a long time, usually I convert data to DomainObjects or Models and then work with them before binding to a UI.
class DomainObject
{
public string Name { get; set; }
public int Year { get; set; }
public string Type { get; set; }
public string Version { get; set; }
}
class GroupedDomainObject
{
public string Name { get; set; }
public int Year { get; set; }
public string Type { get; set; }
public IEnumerable<string> Versions { get; set; }
}
private IEnumerable<GroupedDomainObject> ConvertDataTableToGroupedDomainObject(DataTable dataTable)
{
IEnumerable<DomainObject> complexList = dataTable.Select() // DataTable Select turns it into an IEnumerable
.Select(r => new DomainObject // a linq Select turns it into your DomainObject
{
Name = r["Name"].ToString(),
Year = Convert.ToInt16(r["Year"]),
Type = r["Type"].ToString(),
Version = r["Version"].ToString()
});
// now use linq GroupBy to turn it into (your 64) distinct Groups
return complexList.GroupBy(i => new { i.Name, i.Year, i.Type }, (key, items) => new GroupedDomainObject
{
Name = key.Name,
Year = key.Year,
Type = key.Type,
Versions = items.Select(o => o.Version)
});
}
private void testConversionToGroupedDomainObject()
{
var mike = new DataTable();
mike.Columns.Add("Name", typeof(string));
mike.Columns.Add("Year", typeof(int));
mike.Columns.Add("Type", typeof(string));
mike.Columns.Add("Version", typeof(string));
mike.Rows.Add("NameOne", 2019, "TypeA", "Version1");
mike.Rows.Add("NameOne", 2018, "TypeB", "Version2");
mike.Rows.Add("NameOne", 2018, "TypeB", "Version3");
mike.Rows.Add("NameOne", 2018, "TypeB", "Version4");
mike.Rows.Add("NameTwo", 2019, "TypeA", "Version1");
mike.Rows.Add("NameTwo", 2018, "TypeB", "Version2");
mike.Rows.Add("NameTwo", 2018, "TypeB", "Version3");
mike.Rows.Add("NameTwo", 2018, "TypeB", "Version4");
var result = ConvertDataTableToGroupedDomainObject(mike);
Debug.Assert(mike.Rows.Count == result.Select(r => r.Versions).Count());
}