Jet OLEDB Provider 在 Windows 7 64 位上除 Excel 2010 之外的任何地方都可以使用 [英] Jet OLEDB Provider working everywhere except Excel 2010 on Windows 7 64-bit
问题描述
我在某些 VBA 代码中使用Microsoft.Jet.OLEDB.4.0"提供程序进行基本连接,除了运行 64 位 Microsoft Office 安装的 Windows 7 64 位操作系统外,该代码适用于任何地方Excel 2010.
I'm using the "Microsoft.Jet.OLEDB.4.0" provider for a basic connection in some VBA code, and the code works everywhere except on windows 7 64-bit operating systems running a 64-bit installation of Microsoft Office Excel 2010.
实际上,XP 32 或 64、Vista 32 或 64 和 7 32 的所有其他组合,以及 Excel 2003、2007 或 2010 安装在运行此代码时都没有问题,但在上述系统上,它会导致错误关于缺少提供程序",我无法创建连接字符串.
Literally every other combination of XP 32 or 64, Vista 32 or 64, and 7 32, with Excel 2003, 2007, or 2010 installations has no problem running this code, but on the above described system, it results in an error about a "Missing Provider" and I can't create the connection string.
With Conn
.Provider = "Microsoft.Jet.OLEDB.4.0"
.Mode = adModeRead
.ConnectionString = "Data Source=" & path & ";Extended Properties='text;HDR=YES;FMT=Delimited'"
.Open
End With
我进行了大量研究,但据我所知,操作系统应该带有全套提供程序,包括 32 位版本的 Jet Provider(不存在 64 位版本), 并且 Excel 使用它进行连接应该没有问题.有任何想法吗?
I've done a ton of research, but from what I can tell, the operating system is supposed to come with a full set of providers, including the 32-bit version of the Jet Provider (no 64 bit version exists), and Excel should have no problem using it for the connection. Any ideas?
推荐答案
我不知道这对我的具体示例之外的人是否有帮助.我正在使用提供程序对 CSV 执行查询.例如:
I don't know if this will be helpful to people outside my specific example. I was using the provider to perform a query on a CSV. For instance:
SELECT C7, 0.0001, (C2+C4*10000000) FROM (filename)
在这里,源文件已被修改,以便所有列都按标题命名为 Cn:
Here, the source file has been modified so that all of the columns are named Cn by their headers:
csvColumns = UBound(Split(lineIn, Delimiter)) + 1
For icol = 1 To csvColumns: columnLine = columnLine & "C" & icol & Delimiter: Next icol
所以就我而言,我有一个如下所示的文件:
So in my case, I have a file that looks like this:
C1 C2 C3 C4 C5 C6 C7
1234 654332 23.214 5432 12345 123 60918234.234
2345 876332 43.223 6534 23456 234 34958732.432
3456 987332 54.243 7654 34567 345 92645378.564
通常,使用 Jet OLEDB 提供程序,可以使用上述查询字符串将文件内容读入单元格:
Normally, using the Jet OLEDB provider, the above query string can be used to read the contents of the file into a cell:
On Error GoTo PoviderError
With Conn
.Provider = "Microsoft.Jet.OLEDB.4.0"
.Mode = adModeRead
.ConnectionString = "Data Source=" & path & ";Extended Properties='text;HDR=YES;FMT=Delimited'"
.Open
End With
Rst.Open "SELECT " & selectText & " FROM [" & file & "];", Conn, adOpenKeyset, adLockOptimistic, adCmdText
If Not Rst.EOF Then Destination.CopyFromRecordset Rst
但是在上面的代码中,ProviderError"将在 64 位机器上触发,因为没有可用的 Jet 提供程序.我的解决方法如下.我实际上是将文件加载到 excel 中,并自己解析查询字符串.我用逗号分隔符分隔查询字符串,以便查询字符串的每个部分成为新单元格的公式.要创建公式,我只需添加一个 =
符号并将字符串Cn"替换为对源列的引用.这样,像 (C2+C4*10000000)
这样的复杂查询仍然会得到评估.然后我根据源数据的长度复制公式,然后用硬编码值覆盖公式.最终结果与执行复杂的 Jet OLEDB 查询相同,但速度稍慢.代码如下.
But in the above code "ProviderError" will get triggered on 64 bit machines because there is no Jet provider available. My workaround was as follows. I actually load the file into excel, and parse the query string myself. I break the query string by comma delimiter so that each section of the query string becomes the formula for a new cell. To create the formula, I simply prepend an =
sign and replace the string "Cn" with a reference to the source column. This way, complex queries like (C2+C4*10000000)
still get evaluated. I then copy down the formula according to the length of the source data, and then overwrite the formulas with hard coded values. The end result is identical to doing a complex Jet OLEDB query, albeit slightly slower. Code is below.
PoviderError:
Resume FailOver 'Resets the error state so that further errors can be thrown
FailOver:
FileReadFailover fixedFile, Destination, selectText, Delimiter
...
Private Sub FileReadFailover(ByVal fName$, ByRef Dest As Range, ByVal inputs$, ByVal delim$)
Dim newBook As Workbook
Dim pos(0 To 2) As Integer, col(0 To 2) As String
Dim referenceText As String, i As Integer
'Parse the query string 'inputs'
pos(0) = 0: pos(1) = InStr(pos(0) + 1, inputs, ","): pos(2) = InStr(pos(1) + 1, inputs, ",")
col(0) = Trim(Mid(inputs, pos(0) + 1, pos(1) - pos(0) - 1))
col(1) = Trim(Mid(inputs, pos(1) + 1, pos(2) - pos(1) - 1))
col(2) = Trim(Mid(inputs, pos(2) + 1))
Application.StatusBar = Application.StatusBar & " Missing Jet Provider, waiting for Excel to open file..."
Application.ScreenUpdating = True 'Allow excel to display the status bar showing the file loading
Application.Workbooks.OpenText Filename:=fName, DataType:=xlDelimited, Other:=True, OtherChar:=delim
Set newBook = Application.ActiveWorkbook
Application.ScreenUpdating = False
If newBook Is Nothing Then Err.Raise 1, , "User Cancelled Load"
'Create a formula that will pull the values from the external file just opened.
referenceText = Replace(newBook.Sheets(1).Cells(1, 1).Address(, , , True), "$A$1", "R[" & 2 - Dest.row & "]C")
For i = 0 To 2
If InStr(1, col(i), "C") Then col(i) = "=" & Replace(col(i), "C", referenceText)
Dest.Offset(0, i).FormulaR1C1 = col(i)
Next i
'Copy the formulae down the based on the length of the input file
Dest.Worksheet.Range(Dest, Dest.Offset(0, 2)).Copy _
Dest.Worksheet.Range(Dest.Offset(1), Dest.Offset(newBook.Sheets(1).UsedRange.Rows.Count - 2, 2))
'Make sure the worksheet recalculates to pull the values
If Application.Calculation = xlCalculationManual Then Dest.Worksheet.Calculate
'Now overwrite the formulas that pull the values with the values themselves
Dest.Worksheet.Range(Dest, Dest.Offset(0, 2).End(xlDown)).Copy
Dest.Worksheet.Range(Dest, Dest.Offset(0, 2).End(xlDown)).PasteSpecial xlPasteValues
Application.CutCopyMode = False
Application.StatusBar = "File Import Successful"
newBook.Close (False)
End Sub
上述解决方案假设查询有 3 列,但可以轻松调整以进行任何查询,使用 split 获取尽可能多的列,并动态地重新排列 pos() 和 col() 数组.
The above solution assumes a query with 3 columns, but could easily be adjusted to take a any query, use split to get as many columns as there are, and dynamically redim pos() and col() arrays.
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