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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?

Jan
  • 47
  • 9

1 Answers1

1

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());
        }

TheMikeInNYC
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