I'm attempting to take a small amount of data, about 200 fields in Excel and retreive data from SQL with that field in the where clause for each item.
TABLE:
ID Name Phone
1 Test1 1234
2 Test2 1235
3 Test3 1236
Excel:
Date ID
2/1/11 1
2/1/11 2
2/1/11 3
I want to be able to retrieve, within excel (hopefully 开发者_如何学Pythonwithout writing any additional code per se - maybe a simply Excel ODBC or SQL connection with a query. So my data would end up as such on the Excel Document:
Excel:
Date ID Name Phone
2/1/11 1 Test1 1234
2/1/11 2 Test2 1235
2/1/11 3 Test3 1236
I'm not sure if I'm explaining myself clearly enough....
I'm using Excel 2007 and I also have 2010 laying around somewhere. SQL is SQL Server 2000.
Thanks!
ADO, I am afraid.
Dim cn As Object
Dim rs As Object
Dim strFile As String
Dim strCon As String
Dim strSQL As String
Dim s As String
Dim i As Integer, j As Integer
''This is not the best way to refer to the workbook
''you want, but it is very convenient for notes
''It is probably best to use the name of the workbook.
strFile = ActiveWorkbook.FullName
''Note that if HDR=No, F1,F2 etc are used for column names,
''if HDR=Yes, the names in the first row of the range
''can be used.
''This is the Jet 4 connection string, you can get more
''here : http://www.connectionstrings.com/excel
strCon = "Provider=Microsoft.Jet.OLEDB.4.0;Data Source=" & strFile _
& ";Extended Properties=""Excel 8.0;HDR=Yes;IMEX=1"";"
''Late binding, so no reference is needed
Set cn = CreateObject("ADODB.Connection")
Set rs = CreateObject("ADODB.Recordset")
cn.Open strCon
strSQL = "SELECT * " _
& "FROM [Sheet1$] a " _
& "LEFT JOIN " _
& "[ODBC;Driver={SQL Server Native Client 10.0};" _
& "Server=servername;Database=test;" _
& "Trusted_Connection=yes].tbl b " _
& "ON a.[Id]=b.[Id] "
rs.Open strSQL, cn, 3, 3
''Pick a suitable empty worksheet for the results
Worksheets("Sheet3").Cells(2, 1).CopyFromRecordset rs
''Tidy up
rs.Close
Set rs = Nothing
cn.Close
Set cn = Nothing
Unless there is a good reason to not do this in code, you should just use code instead of sql.
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