**EDIT - I have determined that the reason it was taking so long was partly due to updating the Data Set every time a new row was added and outputting the counts of those records to a label. I moved the UPDATE outside of the loop and got an error. Sleep(1000) Dim int Index As Integer = 0 Dim str Name As String Dim dbl Lat Degrees As Double Dim dbl Lat Minutes As Double Dim dbl Lat Seconds As Double Dim str Lat Direction As String Dim dbl Lon Degrees As Double Dim dbl Lon Minutes As Double Dim dbl Lon Seconds As Double Dim str Lon Direction As String ' Loop through all records in the CO Data Table For Each CORow As Data Row In Towers Data Set. Command Timeout = 30 Dim cust DA As Sql Data Adapter = New Sql Data Adapter cust DA. Select Command = select CMD Dim cust CB As Sql Command Builder = New Sql Command Builder(cust DA) cust CB. Quote Suffix = "]" Dim d Row As Data Row Dim d Table As Data Table obj Conn. Additionally, new records can be inserted into the dataset by adding new Data Row objects to the Data Table objects' Rows collection.You can manipulate the collection directly to delete records.Open() Dim cust DS As Data Set = New Data Set cust DA. Fill(cust DS, "dwbprocref") For Each d Row In cust DS.
Item("Stock Code") = "Re-Fashion[G]" End If Next dad Purchase Info. w, Here is exception message I got -------------------- Invalid Opeartion Exception was caught Dynamic SQL generation for the Update Command is not supported against a Select Command that does not return any key column information. your code changes the data - but the adapter need to know what command to run to update it.
Dispose() End If If conx Main Is Not Nothing Then conx Main.
Dispose() End If End Try End Sub --MENU-- Dim login As New Login Class login.
I'm new to and having quite a challenge with updating a field in a table using the For... Sample code below - can anyone tell me what I'm missing?
I know this particular example could be accomplished with a simple SQL update statement, but the actual use for what this code will become requires stepping through each record in the dataset.