Develop Reference

Check if row exists in DataTable?

I have a datatable and a row. I want to import the row to the datatable only if it does not exist in the datatable.
How can i do that?

If you use a typed DataSet, I.e. declared in design time, the "linq Contains method" takes a typed DataRow. The default IEqualityComparer will compare all values in the DataRow. (Which is normally useless, since you should have a key defined).
DataSet1 ds = new DataSet1();
DataSet1.DataTable1Row row = ds.DataTable1.AddDataTable1Row(bla, bla);
bool exists = ds.DataTable1.Contains(row);

You can use LINQ to check if row is present in datatable. Follow this solution, and replace "id" with your row's primary key, by which you can uniquely identify a row in a table.
DataRow dr = null; // assign your DR here
DataTable dt = new DataTable(); // assign Datatable instance here.
var k = (from r in dt.Rows.OfType<DataRow>() where r["id"].ToString() == dr["id"].ToString() select r).FirstOrDefault();
if(k != null)
{ // Row is present }

if you want to check all the cells in a DataRow, you can try this function:
bool ContainDataRowInDataTable(DataTable T,DataRow R)
{
foreach (DataRow item in T.Rows)
{
if (Enumerable.SequenceEqual(item.ItemArray, R.ItemArray))
return true;
}
return false;
}

you can use Contains as below
if(DataTable.Columns.Contains("RowName"))
{
//Do some stuffs here
}

Tried all answers here but did not work, so I made something for myself which works in my case. The code is pretty simple, it checks if the row you want to add already exists in the datatable - if it does not exist in the datatable, add it.
// fill dt with information
DataTable dt = new DataTable();
// create a new row and fill it with information
DataRow dr = dt.NewRow();
// distinct
bool isDistinct = true;
for (int i=0; i < dt.Rows.Count; i++)
{
// check if both rows are equal
if (Enumerable.SequenceEqual(dt.Rows[i].ItemArray, dr.ItemArray))
{
// it already exists
isDistinct = false;
break;
}
}
if (isDistinct)
{
dt.Rows.Add(dr);
}

if ( Datatable1.Rows[NumOfRow].ToString().Deleted == "Deleted")

You should check row existence by comparing primary keys:
static bool RowExists(DataTable table, DataRow row)
{
var pk = table.PrimaryKey
.Select(column => row[column, DataRowVersion.Original])
.ToArray();
return table.Rows.Contains(pk);
}
Reason is, DataRow that you are trying to check against existing DataTable is, in real-life scenarios, different class instance compared to the DataRaw in the table, even when same DataRaw already exists in the DataTable. Usual .NET equality-comparison does not work properly in this scenarios. That includes DataTable.Contains(...) method.
To properly check for DataRaw existence in the table, primary key given DataRaw should be searched for in the table.

You can check using any with the key value
If (value.Tables(0).AsEnumerable().Any(Function(x) key = x.Field(Of Integer)("ProductId") ))

making rows distinct and showing all the columns

In my project there are two datatables dtFail and dtFailed (dtFailed has nothing but column names declarations). dtFail has duplicate "EmployeeName" column values. so i took a dataview dvFail and did the process to make them distinct as shown in the below code:
dtFail
I tried the below code:
DataView dvFail = new DataView(dtFail);
dtFail = dvFail.ToTable(true, "EmployeeName"); //showing only one column in dtFail
dtFailed (only one column)
If i do like below
DataView dvFail = new DataView(dtFail);
dtFail = dvFail.ToTable(true, "EmployeeName","EmployeeRole","Status");
dtFailed (showing but with duplicate rows)
Then the datatable dtFailed is storing duplicate "EmployeeName" also.
Please Help
Thanks in Advance.

Try this query-
DataTable distinctTable = originalTable.DefaultView.ToTable( /*distinct*/ true);
For more info hit below link-
https://social.msdn.microsoft.com/Forums/en-US/ed9c6a6a-a93e-4bf5-a892-d8471b84aa3b/distinct-in-datatable-or-dataview?forum=adodotnetdataset
I hope this would have helped you.

SOLUTION 1:
Based on the question my understanding is, we need to consider duplicates based on EmployeeName and we need not worry about other columns. If that is the case below solution works better.
foreach(DataRow r in dtFail.AsEnumerable())
{
if (!dt1.AsEnumerable().Any(r1 => r1["EmployeeName"] == r["EmployeeName"]))
{
// if you don't want to copy entire row create new DataRow
// with required fields and add that row.
dt1.Rows.Add(r.ItemArray);
}
}
if you want you can put dt1 back to dtFail.
SOLUTION 2:
If we need to consider distinct rows I prefer below solution.
var temp = dtFail.AsEnumerable().Distinct();
dtFail = temp.CopyToDataTable();

I'm not sure it will be helpful or not. As far as I get from your question that you want EmployeeName to be distinct irrelevant to other columns. But if you do ToTable and turn on the distinct flag it will give all the distinct rows, doesn't matter how many columns are involved there. So if you mention only EmployeeName it will obviously give you distinct EmployeeNames, not all the columns associated with it.
So, thats what I did, initially select only the distinct EmployeeName columns and put it into a temp DataTable dtt.
DataTable dtt = dvFail.DefaultView.ToTable(true, "EmployeeName");
Secondly I've created another temp DataTable where we put the segregated rows from the main DataTable dtFail and set the column names manually.
DataTable TempDataTable = new DataTable();
DataTable dtFailed = new DataTable();
Prepare the columns in the dtFailed DataTable.
if (dtFailed.Columns.Count == 0)
{
dtFailed.Columns.Add("EmployeeName");
dtFailed.Columns.Add("EmployeeRole");
dtFailed.Columns.Add("Status");
dtFailed.Columns.Add("Date");
}
Loop through the distinct EmployeeName dtt DataTable and match the EmployeeName and keep that selected first row in the TempDataTable. Finally all rows transferred into the dtFailed.
for (int j = 0; j < dtt.Rows.Count; j++)
{
string EmployeeName = dtt.Rows[j]["EmployeeName"].ToString();
TempDataTable = dvFail.Select("EmployeeName = " + EmployeeName).CopyToDataTable();
dtFailed.Rows.Add(TempDataTable.Rows[0].ItemArray);
}

Adding data to a row in a Dataset?

I am trying to add data to a row in a dataset but the data is always on a new row?
I need the data to populate under its column. I need something like Ds.Tables[0].Rows[1].add("Item")
This is how i am inserting the data:
DataSet ds = new DataSet();
ds.Tables.Add("Properties");
//GPS
ds.Tables[0].Columns.Add(ArrayProperties[0].FormMobiField);
ds.Tables[0].Rows.Add(ArrayProperties[0].Value);
//Street Num and Name
ds.Tables[0].Columns.Add(ArrayProperties[3].FormMobiField);
ds.Tables[0].Rows.Add(ArrayProperties[3].Value);
//Suburb
ds.Tables[0].Columns.Add(ArrayProperties[6].FormMobiField);
ds.Tables[0].Rows.Add(ArrayProperties[6].Value);
//City
ds.Tables[0].Columns.Add(ArrayProperties[7].FormMobiField);
ds.Tables[0].Rows.Add(ArrayProperties[7].Value);
//Province
ds.Tables[0].Columns.Add(ArrayProperties[8].FormMobiField);
ds.Tables[0].Rows.Add(ArrayProperties[8].Value);
//Locality Map
ds.Tables[0].Columns.Add(ArrayProperties[9].FormMobiField);
ds.Tables[0].Rows.Add(ArrayProperties[9].Value);
//Property Type
ds.Tables[0].Columns.Add(ArrayProperties[10].FormMobiField);
ds.Tables[0].Rows.Add(ArrayProperties[10].Value);

Just get a new Row from the DataTable and then add that row to the table, Use DataTable.NewRow method
DataRow dr = ds.Tables[0].NewRow();
dr["Column1"] = "value";
dr["Column2"] = "value";
dr["Column3"] = "value";
ds.Tables[0].Rows.Add(dr);
You are adding row after adding each column, You may first create your data table's structure by adding all the columns and then you can get the new row using DataTable.NewRow() and later you can add that row to your data table. After adding all the columns you may also try:
ds.Tables[0].Rows.Add(ArrayProperties[0].Value,ArrayProperties[1].Value,ArrayProperties[2].Value,ArrayProperties[3].Value);

The columns collection of a Datatable regards the table structure. In your code you mix adding columns and populating fileds.
You should first create the structure (not tested and syntax errors can occur):
Dataset ds = new Dataset();
Datatable dt = new Datatable();
dt.columns.add(new Column.add(...));
...
dt.columns.add(new Column.add(...));
ds.Tables.add(dt);
And then:
Datarow r = ds.tables[0].NewRow();
r["column1"] = value1;
...
r["columnX"] = valueX;
ds.Tables[0].rows.add(r);
See this msdn article for more details.

Add the columns as you are adding. For populating rows, do the below.
foreach (DataRow row in ds.Tables[0]) // Loop over the rows.
{
row[ArrayProperties[i].FormMobiField]=ArrayProperties[0].Value;
i++;
}
If it doesn't work then let me know,

Delete row from datatable where first column does not contain (some string)

I have DataTable with the following columns:
ClientID date numberOfTransactions price
ClientID is of type string and I need to ensure that its contents include "A-" and "N6" for every value in the table.
I need to delete all rows from the DataTable where this first column (ClientID) does not contain both "A-" and "N6" (some totals and other unnecessary data). How can I select and delete these rows specifically from the DataTable?
I know this:
foreach (DataRow row in table.Rows) // Loop over the rows.
{
//Here should come part "if first column contains mentioned values
}
I also know this
If (string.Contains("A-") == true && string.Contains("N6") == true)
{
//Do something
}
I need help how to implement this for first column of each row.

Try this:
EDIT: Totally messed up that last line, so if you tried it, try it now that I made it not stupid. =)
List<int> IndicesToRemove = new List<int>();
DataTable table = new DataTable(); //Obviously, your table will already exist at this point
foreach (DataRow row in table.Rows)
{
if (!(row["ClientID"].ToString().Contains("A-") && row["ClientID"].ToString().Contains("N6")))
IndicesToRemove.Add(table.Rows.IndexOf(row));
}
IndicesToRemove.Sort();
for (int i = IndicesToRemove.Count - 1; i >= 0; i--) table.Rows.RemoveAt(IndicesToRemove[i]);

try using this,
assuming dt as your Datatabe object and ClientID as your first column (hence using ItemArray[0])
for(int i=0; i<dt.Rows.Count; i++)
{
temp = dt.Rows[i].ItemArray[0].ToString();
if (System.Text.RegularExpressions.Regex.IsMatch(temp, "A-", System.Text.RegularExpressions.RegexOptions.IgnoreCase) || System.Text.RegularExpressions.Regex.IsMatch(temp, "N6", System.Text.RegularExpressions.RegexOptions.IgnoreCase))
{
dt.Rows.RemoveAt(i);
i--;
}
}
Simple and straight forward solution... hope it helps

this should be more efficient, both in lines of Code and Time, try this :)
for(int x=0; x<table.Rows.Count;)
{
if (!table.Rows[x].ItemArray[0].contains("A-") && !table.Rows[x].ItemArray[0].contains("N6"))
table.Rows.RemoveAt(x);
else x++;
}
Happy Coding

Preface: C.Barlow's existing answer is awesome, this is just another route someone could take.
This is one way to do it where you never have to loop all the way through the original table (by taking advantage of the DataTable.Select() method):
DataTable table = new DataTable(); // This would be your existing DataTable
// Grab only the rows that meet your criteria using the .Select() method
DataRow[] newRows = table.Select("ClientID LIKE '%A-%' AND ClientID LIKE '%N6%'");
// Create a new table with the same schema as your existing one.
DataTable newTable = table.Clone();
foreach (DataRow r in newRows)
{
// Dump the selected rows into the table.
newTable.LoadDataRow(r.ItemArray, true);
}
And now you have a DataTable with only the rows you want. If necessary, at this point you could clear out the original table and replace it with the contents of the new one:
table.Clear();
table = newTable.Copy();
Edit: I thought of a memory optimization last night, you can just overwrite the existing table once you have the rows you need, which avoids the need for the temporary table.
DataTable table = new DataTable(); // This would be your existing DataTable
// Grab only the rows that meet your criteria using the .Select() method
DataRow[] newRows = table.Select("ClientID LIKE '%A-%' AND ClientID LIKE '%N6%'");
// Clear out the old table
table.Clear();
foreach (DataRow r in newRows)
{
// Dump the selected rows into the table.
table.LoadDataRow(r.ItemArray, true);
}

How to check if DataTable contains DataRow?

I have a non-typed dataset filled with data from user input (no database). There's no primary key column (my data had no need for primary key so far)! Is there any way to avoid "brute force" if i want to check if new row user is trying to insert already exists in my DataTable? How should i perform that check?

You can manually create unique constraints for your DataTable:
DataTable custTable = custDS.Tables["Customers"];
UniqueConstraint custUnique = new UniqueConstraint(new DataColumn[]
{custTable.Columns["CustomerID"],
custTable.Columns["CompanyName"]});
custDS.Tables["Customers"].Constraints.Add(custUnique);
For this example, you would get an exception (of type ConstraintException) if you tried to add a row to the table where the CustomerID and CompanyName were duplicates of another row with the same CustomerID and CompanyName.
I would just let the DataTable check these things for you internally - no point reinventing the wheel. As to how it does it (whether it is efficient or not), will have to be an exercise for you.

What you can do is use a DataView. Dataview allow you to use a where clause with the DataView's data.
Check it that way.

To check for any duplicates try
if (table.Rows.Contain(PriKeyTypeValue)) /*See if a Primary Key Value is in
the table already */
continue;
else
table.Row.Add(value1, value2, value3);
If you want to be able to insert duplicate rows but do not want to have an exception thrown set-up your primary key as a unique self-incrementing int then you can insert as many duplicates as you feel like without having to check to see if the table contains that value.you can set primary key value like the below....
DataTable table = new DataTable();
table.Columns.Add("Column", typeof(int));
DataColumn column = table.Columns["Column"];
column.Unique = true;
column.AutoIncrement = true;
column.AutoIncrementStep = 1; //change these to whatever works for you
column.AutoIncrementSeed = 1;
table.PrimaryKey = new DataColumn[] { column };

Much, much easier way:
datatable.Columns.Contais("ColumnName")