adodb performance EXCEL VBA vs vbscript

RAYLWARD102

Well-known Member
Joined
May 27, 2010
Messages
529
I have a rather large query, containing a table join that returns approximately 80k rows; executing this query via excel VBA seems to result in a minute or longer of processing. I don’t have the same speed issues when returning 5-10000 rows in excel; just the one that’s returning 80k rows. I replicated my VBA adodb connections to a vbscript and wonder why the vbscript can return 80k rows in about 3seconds. Big difference in timing 1min vs 3seconds. I assure you, I’m invoking adodb the same ways in VBA vs vbscript; promis it has nothing to do with how I coded it. Any idea’s as to why this is?
 

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Based on the limited information: no idea.
3 seconds sounds like the right ball park for 80,000 records from multiple tables; and a minute is certainly not.
Can you check it on someone else's computer?
 
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How are you measuring when the data has returned? Please post your code for both versions
 
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was about craft code examples when I discovered the exact bottleneck. I use the adodb getrows method in both excel-vbscript. Directly after getrows (in both excel and vbscript), I create an empty 2d array with 1 extra row, and populate the first row with column names (a header for my 2d array), followed by looping the provided getrows array, for the purpose of transferring to a 2d array containing headers. The vbscript seems to be much quicker at the transfer then excel.

Here is excel code for transfering getrows array into an array with headers:
Code:
        ReDim FormattedDataSet(0 To UBound(QueriedFields), 0 To 0)
        For y = 0 To UBound(QueriedFields)
            FormattedDataSet(y, 0) = QueriedFields(y)
        Next
        For x = 0 To UBound(DataSet, 2)
            ReDim Preserve FormattedDataSet(0 To UBound(FormattedDataSet, 1), 0 To (UBound(FormattedDataSet, 2) + 1))
            For y = 0 To UBound(QueriedFields)
                If Not IsNull(DataSet(y, x)) Then
                    FormattedDataSet(y, UBound(FormattedDataSet, 2)) = DataSet(y, x)
                End If
            Next
        Next

Here is the vbscript code for transfering getrows array into an array with headers:
Code:
            ReDim A(UBound(Temp), (UBound(V, 2) + 1))
            For x = 0 To UBound(Temp)
                A(x, 0) = Temp(x)
            Next
            For x = 0 To UBound(V, 2)
                i = x + 1
                For y = 0 To UBound(V, 1)
                    If IsNull(V(y, x)) = False Then
                        A(y, i) = V(y, x)
                    Else:
                        A(y, i) = ""
                    End If
                Next
            Next


As you can see; same logic, but excel taking nearly 45-55 seconds longer then vbscript.
If I don't do the array to array with headers, they both perform about the same speed (getting query results)
Also; I did try from different computers; same result; I even put the access database on a different server to see if any difference; same all around; I no longer believe this to be a problem related to adodb, but want to understand why the excel for loops are so much slower then my vbscript for loops
 
Last edited:
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may have just answered own question; excel likley running slower due to the redim preserve statement at every row; I will try and get back.
 
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that was the difference; shouldn't have redim preserved every line. Adodb performance is the same between excel and vbscript.
Anyone know a better way to achieve my headerless array to header array, or is this about all we can do for efficiency?
 
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Probably, Redim Preserve is very expensive - it releases and rebuilds the whole array when it is called
 
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maybe explain what you're doing. what is the objective? why make the 2D array?
if we understand what is required, there may be a totally different approach

PS. Like leave the data in a recordset. or clone it. or make a disconnected recordset. or CopyFromRecordset (& then separately load the headers)
 
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Why do you need an array with a header?
 
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I like keeping an access database cached in memory for quick finds-manipulations; looping through a recordset is far more slower then looping an array.
Because I have many tables loaded into memory, it's easier for me to find correct data when I have a header indicated. This is why I add headers to my arrays.
 
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