I have a DataTable
(currently with multiple columns but I could just grab one column if it makes it easier). I want to check if a String
value exists in a column of the DataTable
. (I'm doing it many times so I want it to be reasonably fast.)
What is a good way to do this? Iterating through the DataTable
rows each time seems like a bad way. Can I convert the column to a flat List/Array
format, and use a built in function? Something like myStrList.Contains("value")
?
To test whether a row exists in a MySQL table or not, use exists condition. The exists condition can be used with subquery. It returns true when row exists in the table, otherwise false is returned. True is represented in the form of 1 and false is represented as 0.
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.
You can use select
to find whether that value exist or not. If so, it returns rows or it will not. Here is some sample code to help you.
Dim foundRow() As DataRow
foundRow = dt.Select("SalesCategory='HP'")
If the data in your DataTable
doesn't change very often, and you search the DataTable
multiple times, and your DataTable
contains many rows, then it's likely going to be a lot faster to build your own index for the data.
The simplest way to do this is to sort the data by the key column so that you can then do a binary search on the sorted list. For instance, you can build an index like this:
Private Function BuildIndex(table As DataTable, keyColumnIndex As Integer) As List(Of String)
Dim index As New List(Of String)(table.Rows.Count)
For Each row As DataRow in table.Rows
index.Add(row(keyColumnIndex))
Next
index.Sort()
Return index
End Function
Then, you can check if a value exists in the index quickly with a binary search, like this:
Private Function ItemExists(index As List(Of String), key As String) As Boolean
Dim index As Integer = index.BinarySearch(key)
If index >= 0 Then
Return True
Else
Return False
End If
End Function
You could also do the same thing with a simple string array. Or, you could use a Dictionary
object (which is an implementation of a hash table) to build a hash index of your DataTable
, for instance:
Private Function BuildIndex(table As DataTable, keyColumnIndex As Integer) As Dictionary(Of String, DataRow)
Dim index As New Dictionary(Of String, DataRow)(table.Rows.Count)
For Each row As DataRow in table.Rows
index(row(keyColumnIndex)) = row
Next
Return index
End Function
Then, you can get the matching DataRow
for a given key, like this:
Dim index As Dictionary(Of String, DataRow) = BuildIndex(myDataTable, myKeyColumnIndex)
Dim row As DataRow = Nothing
If index.TryGetValue(myKey, row) Then
' row was found, can now use row variable to access all the data in that row
Else
' row with that key does not exist
End If
You may also want to look into using either the SortedList
or SortedDictionary
class. Both of these are implementations of binary trees. It's hard to say which of all of these options is going to be fastest in your particular scenario. It all depends on the type of data, how often the index needs to be re-built, how often you search it, how many rows are in the DataTable
, and what you need to do with the found items. The best thing to do would be to try each one in a test case and see which one works best for what you need.
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