Question

I need to import sheets which look like the following:

    March Orders   
   ***Empty Row    
    Week Order # Date Cust #
    3.1 271356 3/3/10 010572
    3.1 280353 3/5/10 022114
    3.1 290822 3/5/10 010275
    3.1 291436 3/2/10 010155
    3.1 291627 3/5/10 011840

The column headers are actually row 3. I can use an Excel Sourch to import them, but I don’t know how to specify that the information starts at row 3.

I Googled the problem, but came up empty.

Answer 1

have a look:

the links have more details, but I’ve included some text from the pages (just in case the links go dead)

http://social.msdn.microsoft.com/Forums/en-US/sqlintegrationservices/thread/97144bb2-9bb9-4cb8-b069-45c29690dfeb

Q:

While we are loading the text file to SQL Server via SSIS, we have the
provision to skip any number of leading rows from the source and load
the data to SQL server. Is there any provision to do the same for
Excel file.

The source Excel file for me has some description in the leading 5
rows, I want to skip it and start the data load from the row 6. Please
provide your thoughts on this.

A:

Easiest would be to give each row a number (a bit like an identity in
SQL Server) and then use a conditional split to filter out everything
where the number <=5

http://social.msdn.microsoft.com/Forums/en/sqlintegrationservices/thread/947fa27e-e31f-4108-a889-18acebce9217

Q:

1. Is it possible during import data from Excel to DB table skip first 6 rows for example?

2. Also Excel data divided by sections with headers. Is it possible for example to skip every 12th row?

A:

1. YES YOU CAN. Actually, you can do this very easily if you know the number columns that will be imported from your Excel file. In
   your Data Flow task, you will need to set the "OpenRowset" Custom
   Property of your Excel Connection (right-click your Excel connection >
   Properties; in the Properties window, look for OpenRowset under Custom
   Properties). To ignore the first 5 rows in Sheet1, and import columns
   A-M, you would enter the following value for OpenRowset: Sheet1$A6:M
   (notice, I did not specify a row number for column M. You can enter a
   row number if you like, but in my case the number of rows can vary
   from one iteration to the next)

2. AGAIN, YES YOU CAN. You can import the data using a conditional split. You’d configure the conditional split to look for something in
   each row that uniquely identifies it as a header row; skip the rows
   that match this ‘header logic’. Another option would be to import all
   the rows and then remove the header rows using a SQL script in the
   database…like a cursor that deletes every 12th row. Or you could
   add an identity field with seed/increment of 1/1 and then delete all
   rows with row numbers that divide perfectly by 12. Something like
   that…

http://social.msdn.microsoft.com/Forums/en-US/sqlintegrationservices/thread/847c4b9e-b2d7-4cdf-a193-e4ce14986ee2

Q:

I have an SSIS package that imports from an Excel file with data
beginning in the 7th row.

Unlike the same operation with a csv file (‘Header Rows to Skip’ in
Connection Manager Editor), I can’t seem to find a way to ignore the
first 6 rows of an Excel file connection.

I’m guessing the answer might be in one of the Data Flow
Transformation objects, but I’m not very familiar with them.

A:

Question Sign in to vote 1 Sign in to vote rbhro, actually there were
2 fields in the upper 5 rows that had some data that I think prevented
the importer from ignoring those rows completely.

Anyway, I did find a solution to my problem.

In my Excel source object, I used ‘SQL Command’ as the ‘Data Access
Mode’ (it’s drop down when you double-click the Excel Source object).
From there I was able to build a query (‘Build Query’ button) that
only grabbed records I needed. Something like this: SELECT F4,
F5, F6 FROM [Spreadsheet$] WHERE (F4 IS NOT NULL) AND (F4
<> ‘TheHeaderFieldName’)

Note: I initially tried an ISNUMERIC instead of ‘IS NOT NULL’, but
that wasn’t supported for some reason.

In my particular case, I was only interested in rows where F4 wasn’t
NULL (and fortunately F4 didn’t containing any junk in the first 5
rows). I could skip the whole header row (row 6) with the 2nd WHERE
clause.

So that cleaned up my data source perfectly. All I needed to do now
was add a Data Conversion object in between the source and destination
(everything needed to be converted from unicode in the spreadsheet),
and it worked.