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Thread: [RESOLVED] How to optimize this problem

  1. #1

    Thread Starter
    Hyperactive Member
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    Resolved [RESOLVED] How to optimize this problem

    I am importing hundreds of delimited text files into a workbook. Each text file can have anywhere from 1 to hundreds of records. So the rows in play would look something like this where 'n' could be any number (probably less than 1000):
    Column A Column B
    F1 R1
    F1 R2
    F1 R3
    F1 ...
    F1 Rn
    F2 R1
    ... ...
    Fn R1
    Fn R2

    Everything I've tried either causes Excel to throw up (out of resources) or takes forever. Does anyone have a good way of computing the number of records for each file as each file is imported, or after all of the files have been reported? Thanks.

  2. #2
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    Re: How to optimize this problem

    not knowing what you have tried so far..........

    you could use various methods to get the last row (number of records) after each file is imported, deduct the previous, store value to an array (or whatever) for later processing, CountA of column A may be a good choice, redim array in blocks of 500, speed testing would demonstrate which method is quicker
    i do my best to test code works before i post it, but sometimes am unable to do so for some reason, and usually say so if this is the case.
    Note code snippets posted are just that and do not include error handling that is required in real world applications, but avoid On Error Resume Next

    dim all variables as required as often i have done so elsewhere in my code but only posted the relevant part

    come back and mark your original post as resolved if your problem is fixed
    pete

  3. #3
    Addicted Member 3com's Avatar
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    Re: How to optimize this problem

    well, imagine plane text file comma delimited, such as...

    F1R1,F2R1,F3R1,F4R1,F5R1,F6R1,F7R1,F8R1
    F1R2,F2R2,F3R2,F4R2,F5R2,F6R2,F7R2,F8R2
    F1R3,F2R3,F3R3,F4R3,F5R3,F6R3,F7R3,F8R3
    F1R4,F2R4,F3R4,F4R4,F5R4,F6R4,F7R4,F8R4
    F1R5,F2R5,F3R5,F4R5,F5R5,F6R5,F7R5,F8R5
    F1R6,F2R6,F3R6,F4R6,F5R6,F6R6,F7R6,F8R6
    F1R7,F2R7,F3R7,F4R7,F5R7,F6R7,F7R7,F8R7
    ... And you want count records, before import file...

    Code:
    Sub RecordsCounter()
    
    Dim fPath As String
    fPath = "C:\ImportFile.txt"  '  Change path file.
    Dim arr(), arr0()
    Dim nRecord As Long
    nRecord = 0
    
    Open fPath For Input As #1    ' Open file
    Do While Not EOF(1)    ' Loop until end of file..
        ReDim Preserve arr0(nRecord) ' redim variable to store records
        Input #1, arr0(nRecord) ' Read records and store in on array
        Debug.Print arr0(nRecord) ' Print records 4 check it.
        nRecord = nRecord + 1
    Loop
    Close #1    ' Close file.
    
    For Z = 0 To UBound(arr0)
        ReDim Preserve arr(Z)
        arr(Z) = Split(arr0(Z), ",")
    Next Z
    
    totalRecords = UBound(arr)
    MsgBox " The num of records is " & totalRecords
    
    End Sub
    Perhaps this code can help as starting point.

  4. #4
    PowerPoster kaliman79912's Avatar
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    Re: How to optimize this problem

    Any reason you would need to count before importing?

    Anyway. I think if you have a delimited file, the best way to go for importing would be something like:

    Code:
    Workbooks.OpenText Filename:="C:\Temp\TextFile.csv", Origin:=65001, StartRow:=4, DataType:=xlDelimited, TextQualifier:=xlDoubleQuote, _
            ConsecutiveDelimiter:=False, Tab:=True, Semicolon:=False, Comma:=True, Space:=False, Other:=False, _
            FieldInfo:=Array(Array(1, 9), Array(2, 9), Array(3, 9), Array(4, 2), Array(5, 2), Array(6, 2))
    This code will reaad your csv (commad separated values) file, starting at row 4 (that is because sometimes there are title rows you want to avoid), the FieldInfo is an array that determines the column number and the data type. i.e: 9= do not import, 2= General, etc.
    More important than the will to succeed, is the will to prepare for success.

    Please rate the posts, your comments are the fuel to keep helping people

  5. #5

    Thread Starter
    Hyperactive Member
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    Re: How to optimize this problem

    Thanks. Counting rows was the trick.

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