Thanks in advance for any help anyone can provide,
(Preface: I'm already familiar with TypeGuessRows registry tweak (I have it set to 0; XL scans the whole column to determine data type) and IMEX=1 extended properties (I use this by default))
I am starting an ongoing project for a client:
Client sent 10 xlsx files, 1 per year.
Most, if not all, files have 12 sheets...1 sheet per month.
All sheets in all files have the exact same number of column with the exact same column headers in the exact same order.
Client most likely will periodically send new data (hopefully in the same format) over the next 3 years.
Looping through multiple XL files, then looping through multiple XL sheets is not a problem. I have done that many times in the past. My SSIS template for XL files is setup that way by default.
The issue I am having is when the data types for the columns can change from sheet to sheet. For example, on most sheets a date column:
No NULL/blank dates
All dates formatted as m/d/yyyy
XL/SSIS assigns date [DT_DATE] data type
...but, on some sheets within the same file, the same date column...
No NULL/blank dates
Most dates formatted as m/d/yyyy
Some dates formatted as general/number (Nov 15, 2002 = 37575)
XL/SSIS assigns Unicode string [DT_WSTR] data type
If I am not mistaken, when I run the SSIS package, it will throw an error when the data types change.
Is it possible force the data type of incoming columns (Advanced Editor for OLE DB Source > Input and Output Properties sheet > Inputs and outputs pane > OLE DB Source Output > External Columns) to unicode so the package won't error when XL/SSIS wants to change the data type? This would accommodate all current files and any future ones in case the same inconsistent formatting shows up.
Or am I forced to either:
Change all general/number formatted dates to a date format so I can import with one SSIS package
Separate all consistently formatted and inconsistently formatted sheets into 2 separate groups to be imported with 2 different SSIS packages
Once again, Thanks for any help anyone can provide,
CTB
It appears switching from one data type to another won't throw an error, just a warning...at least from [DT_DATE] to [DT_WSTR] and back.
I was not able to force the data type of the incoming column of the OLE DB Source, but I was able to set the outgoing column data type to [DT_WSTR] (Advanced Editor for OLE DB Source > Input and Output Properties sheet > Inputs and outputs pane > OLE DB Source Output > Output Columns). That way, all dates in that column were seen as unicode text in the data flow, regardless of its source.
That seemed to do the trick. I needed only one import package to import both types of sheets/files.
I hope this helps someone else in the future...
Related
I am having an issue with a program. The macro in Access imports an Excel file, then it appends an already created table with the imported data, and runs a check after to make sure that the table was appended correctly.
I have tried for hours to figure out why my imported tables are not being appended. I know that this is a formatting issue. There are six columns in my Excel table. The first three columns have Text Data Type. The fourth has Number Data Type. These are fine since the field properties match exactly for the imported table and the already existing table.
So my issue is with the last two columns. The last two columns in the existing table in Access have Date/Time Data Type. The format of these columns as shown in Field Properties is m/d/yy;# (I'm not sure what this means and an explanation of this might be helpful)
The imported table has Date/Time Data Type with format m/d/yyyy. I have tried changing the format in Excel to m/d/yy and m/d/yy;#. Both of which got the format to show correctly in Excel, just as it does in Access for the correct table. But when I import it does not keep this formatting.
The check does not register the rows with new dates and the table does not get appended. I am looking for an easy fix in Excel to change my data's formatting as there are 17 separate macros that I have to run each month.
I've got a problem with importing an SQL spreadsheet into SSIS.
The spreadsheet has values in its columns, such as 40.09, however the cell has a custom format on it so it displays as $40 and this is the value that SSIS attempts to bring in.
I can't change the source spreadsheet as it is supplied by a vendor, and the purpose of this package is to automate the import of this spreadsheet. I tried changing the data type of the external and output columns of the Excel source to currency however at runtime, I received an error about not being able to convert due to loss of precision. The annoying thing is it correctly picked up another column as currency (which I'm guessing is because this column has values within the first 8 rows?).
Any advice on how to get the unformatted value?
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.
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:
Is it possible during import data from Excel to DB table skip first 6 rows for example?
Also Excel data divided by sections with headers. Is it possible for example to skip every 12th row?
A:
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)
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.
My first suggestion is not to accept a file in that format. Excel files to be imported should always start with column header rows. Send it back to whoever provides it to you and tell them to fix their format. This works most of the time.
We provide guidance to our customers and vendors about how files must be formatted before we can process them and it is up to them to meet the guidlines as much as possible. People often aren't aware that files like that create a problem in processing (next month it might have six lines before the data starts) and they need to be educated that Excel files must start with the column headers, have no blank lines in the middle of the data and no repeating the headers multiple times and most important of all, they must have the same columns with the same column titles in the same order every time. If they can't provide that then you probably don't have something that will work for automated import as you will get the file in a differnt format everytime depending on the mood of the person who maintains the Excel spreadsheet. Incidentally, we push really hard to never receive any data from Excel (only works some of the time, but if they have the data in a database, they can usually accomodate). They also must know that any changes they make to the spreadsheet format will result in a change to the import package and that they willl be charged for those development changes (assuming that these are outside clients and not internal ones). These changes must be communicated in advance and developer time scheduled, a file with the wrong format will fail and be returned to them to fix if not.
If that doesn't work, may I suggest that you open the file, delete the first two rows and save a text file in a data flow. Then write a data flow that will process the text file. SSIS did a lousy job of supporting Excel and anything you can do to get the file in a different format will make life easier in the long run.
My first suggestion is not to accept a file in that format. Excel files to be imported should always start with column header rows. Send it back to whoever provides it to you and tell them to fix their format. This works most of the time.
Not entirely correct.
SSIS forces you to use the format and quite often it does not work correctly with excel
If you can't change he format consider using our Advanced ETL Processor.
You can skip rows or fields and you can validate the data the way you want.
http://www.dbsoftlab.com/etl-tools/advanced-etl-processor/overview.html
Sky is the limit
You can just use the OpenRowset property you can find in the Excel Source properties.
Take a look here for details:
SSIS: Read and Export Excel data from nth Row
Regards.
This question is long winded because I have been updating the question over a very long time trying to get SSIS to properly export Excel data. I managed to solve this issue, although not correctly. Aside from someone providing a correct answer, the solution listed in this question is not terrible.
The only answer I found was to create a single row named range wide enough for my columns. In the named range put sample data and hide it. SSIS appends the data and reads metadata from the single row (that is close enough for it to drop stuff in it). The data takes the format of the hidden single row. This allows headers, etc.
WOW what a pain in the butt. It will take over 450 days of exports to recover the time lost. However, I still love SSIS and will continue to use it because it is still way better than Filemaker LOL. My next attempt will be doing the same thing in the report server.
Original question notes:
If you are in Sql Server Integrations Services designer and want to export data to an Excel file starting on something other than the first line, lets say the forth line, how do you specify this?
I tried going in to the Excel Destination of the Data Flow, changed the AccessMode to OpenRowSet from Variable, then set the variable to "YPlatters$A4:I20000" This fails saying it cannot find the sheet. The sheet is called YPlatters.
I thought you could specify (Sheet$)(Starting Cell):(Ending Cell)?
Update
Apparently in Excel you can select a set of cells and name them with the name box. This allows you to select the name instead of the sheet without the $ dollar sign. Oddly enough, whatever the range you specify, it appends the data to the next row after the range. Oddly, as you add data, it increases the named selection's row count.
Another odd thing is the data takes the format of the last line of the range specified. My header rows are bold. If I specify a range that ends with the header row, the data appends to the row below, and makes all the entries bold. if you specify one row lower, it puts a blank line between the header row and the data, but the data is not bold.
Another update
No matter what I try, SSIS samples the "first row" of the file and sets the metadata according to what it finds. However, if you have sample data that has a value of zero but is formatted as the first row, it treats that column as text and inserts numeric values with a single quote in front ('123.34). I also tried headers that do not reflect the data types of the columns. I tried changing the metadata of the Excel destination, but it always changes it back when I run the project, then fails saying it will truncate data. If I tell it to ignore errors, it imports everything except that column.
Several days of several hours a piece later...
Another update
I tried every combination. A mostly working example is to create the named range starting with the column headers. Format your column headers as you want the data to look as the data takes on this format. In my example, these exist from A4 to E4, which is my defined range. SSIS appends to the row after the defined range, so defining A4 to E68 appends the rows starting at A69. You define the Connection as having the first row contains the field names. It takes on the metadata of the header row, oddly, not the second row, and it guesses at the data type, not the formatted data type of the column, i.e., headers are text, so all my metadata is text. If your headers are bold, so is all of your data.
I even tried making a sample data row without success... I don't think anyone actually uses Excel with the default MS SSIS export.
If you could define the "insert range" (A5 to E5) with no header row and format those columns (currency, not bold, etc.) without it skipping a row in Excel, this would be very helpful. From what I gather, noone uses SSIS to export Excel without a third party connection manager.
Any ideas on how to set this up properly so that data is formatted correctly, i.e., the metadata read from Excel is proper to the real data, and formatting inherits from the first row of data, not the headers in Excel?
One last update (July 17, 2009)
I got this to work very well. One thing I added to Excel was the IMEX=1 in the Excel connection string: "Excel 8.0;HDR=Yes;IMEX=1". This forces Excel (I think) to look at all rows to see what kind of data is in it. Generally, this does not drop information, say for instance if you have a zip code then about 9 rows down you have a zip+4, Excel without this blanks that field entirely without error. With IMEX=1, it recognizes that Zip is actually a character field instead of numeric.
And of course, one more update (August 27, 2009)
The IMEX=1 will succeed importing data with missing contents in the first 8 rows, but it will fail exporting data where no data exists. So, have it on your import connection string, but not your export Excel connection string.
I have to say, after so much fiddling, it works pretty well.
P.S. If you are using a x64 bit version, make sure you call the DTExec from C:\Program Files\Microsoft SQL Server\90\DTS.x86\Binn. It will load the 32 bit Excel driver and work fine.
Would it be easier to create the Excel Workbook in a script task, then just pick it up later in the flow?
The engine part of SSIS is good but the integration with Excel is awful
"Using SSIS in conjunction with Excel is like having hot tar funnelled up your iHole in a road cone"
Dr. Zim, I believe you were the one that originally brought up this question. I totally feel your pain. I love SSIS overall, but I absolutely hate the limited tools that come standard for Excel. All I want to do is Bold the Heading or Row1 record in Excel, and not bold the following records. I have not found a great way to do that; granted I am approaching this with no script tasks or custom extensions, but you would think something this simple would be a standard option. Looks like I may be forced to research and program up something fancy for a task that should be so fundamental. I've already spent a rediculous amount of time on this myself. Does anyone know if you can use Excel XML with Excel versions: 2000/XP/2003? Thanks.
This is an old thread but what about using a flat file connection and writing the data out as a formatted html document. Set the mime type in the page header to "application/excel". When you send the document as an attachment and the recipient opens the attachment, it will open a browser session but should pop Excel up over the top of it with the data formatted according to the style (CSS) specified in the page.
Can you have SSIS write the data to an Excel sheet starting at A1, then create another sheet, formatted as you like, that refers to the other sheet at A1, but displays it as A4? That is, on the "pretty" sheet, A4 would refer to A1 on the SSIS sheet.
This would allow SSIS to do what it's good for (manipulate table-based data), but allow the Excel to be formatted or manipulated however you'd like.
When excel is the destination in SSIS, or the target export type in SSRS, you do not have much control over formatting and specifying how you want the final file to be. I have written a custom excel rendering engine for SSRS once, as my client was so strict about the format of final Excel report generated. I used 'Excel xml' to get the job done inside my custom renderer. May be you can use XML output and convert it to Excel XML using XSLT.
I understand you would rather not use a script component so perhaps you could create your own custom task using the code that a script contains so that others can use this in the future. Check here for an example.
If this seems feasible the solution I used was CarlosAg Excel Xml Writer Library. With this you can create code which is similar to using the Interop library but produces excel in xml format. This avoids using the Interop object which can sometimes lead to excel processes hanging around.
Instead of using a roundabout way to do this exercise of trying to write data to particular cell(s), format the cell(s), style them which is indeed a very tedius effort considering the support SSIS has for EXCEL, we could go the "template" way to do this.
assume we need to write data in the so & so cell with all the custom formating thats done on it. Have all the formatting in a sheet, say "SheetActual", Whereas the cells that will hold the data will actually have Lookups/ refrences/ Formulaes to refer to the original data that SSIS exports in a hidden sheet say "SheetMasterHidden" of the same Excel connection. This "SheetMasterHidden" will essentially hold the master data in default format that SSIS writes data to the excel. This way you need not worry about formatting the data runtime.
Formatting the Excel is a one time work "IF" the formatting dont change very often. If the format changes and the format is decided runtime this solution maynot go very well.
The answer is in the question. Over time, it became a progress status. However, there is SSRS that will create Excel files if you create TABLE presentations. It works pretty well too.
When an excel data source is used in SSIS, the data types of each individual column are derived from the data in the columns. Is it possible to override this behaviour?
Ideally we would like every column delivered from the excel source to be string data type, so that data validation can be performed on the data received from the source in a later step in the data flow.
Currently, the Error Output tab can be used to ignore conversion failures - the data in question is then null, and the package will continue to execute. However, we want to know what the original data was so that an appropriate error message can be generated for that row.
According to this blog post, the problem is that the SSIS Excel driver determines the data type for each column based on reading values of the first 8 rows:
If the top 8 records contain equal number of numeric and character types – then the priority is numeric
If the majority of top 8 records are numeric then it assigns the data type as numeric and all character values are read as NULLs
If the majority of top 8 records are of character type then it assigns the data type as string and all numeric values are read as
NULLs
The post outlines two things you can do to fix this:
First, add IMEX=1 to the end of your Excel driver connection string. This will allow Excel to read the values as Unicode. However, this is not sufficient if the data in the first 8 rows are numeric.
In the registry, change the value for HKEY_LOCAL_MACHINE\SOFTWARE\Wow6432Nod\Microsoft\Jet\4.0\Engines\Excel\TypeGuessRows to 0. This will ensure that the driver looks at all the rows to determine the data type for the column.
Yes, you can. Just go into the output column list on the Excel source and set the type for each of the columns.
To get to the input columns list right click on the Excel source, select 'Show Advanced Editor', click the tab labeled 'Input and Output Properties'.
A potentially better solution is to use the derived column component where you can actually build "new" columns for each column in Excel. This has the benefits of
You have more control over what you convert to.
You can put in rules that control the change (i.e. if null give me an empty string, but if there is data then give me the data as a string)
Your data source is not tied directly to the rest of the process (i.e. you can change the source and the only place you will need to do work is in the derived column)
If your Excel file contains a number in the column in question in the first row of data, it seems that the SSIS engine will reset the type to a numeric type. It kept resetting mine. I went into my Excel file and changed the numbers to "Numbers stored as text" by placing a single quote in front of them. They are now read as text.
I also noticed that SSIS uses the first row to IGNORE what the programmer has indicated is the actual type of the data (I even told Excel to format the entire column as TEXT, but SSIS still used the data, which was a bunch of digits), and reset it. Once I fixed that by putting a single-quote in my Excel file in front of the number in the first row of data, I thought it would get it right, but no, there is additional work.
In fact, even though the SSIS External DataSource Column now has the type DT_WSTR, it will still read 43567192 as 4.35671E+007. So you have to go back into your Excel file and put single quotes in front of all the numbers.
Pretty LAME, Microsoft! But there's your solution. I have no idea what to do if the Excel file is not under your control.
I was looking for a solution for the similar issue, but didn't find anything on the internet. Although most of the found solutions work at design time, they don't work when you want to automate your SSIS package.
I resolved the issue and made it work by changing the properties of "Excel Source". By default the AccessMode property is set to OpenRowSet. If you change it to SQL Command, you can write your own SQL to convert any column as you wish.
For me SSIS was treating the NDCCode column as float, but I needed it as a string and so I used following SQL:
Select [Site], Cstr([NDCCode]) as NDCCode From [Sheet1$]
Excel source is SSIS behaves crazy. SSIS determines the type of data in a particualr column by reading first 10 rows.. hence the issue. If you have a text column with null values in first 10 roes, SSIS takes the data type as Int. With a bit of struggle, here is a workaround
Insert a dummy row (preferrably first row) in the worksheet. I prefer doing this thru a Script task, you may consider using some service to preprocess the file before SSIS connects to it
With the duummy row, you are sure that the datatypes will be set as you need
Read the data using Excel source and filter out the dummy row before you take it for further processing.
I know it is a bit shabby, but it works :)
I could fix this issue. while creating the SSIS package, I manually changed the specific column to text (Open the excel file select the column, right click on column, select format cells, in number tab select Text and save the excel).
Now create the SSIS package and test it. It works. Now try to use the excel file where this column was not set as text.
It worked for me and I could execute the package successfully.
This should be resolved simply, just untick the box "Frist row as column names" and all data will be collected as text data type. Only downside of this choice is that you have to manage the columns names from the auto names (column 1, 2 etc) and handle the first row which contains the column names.
I had trouble implementing the solution here - I could follow the instructions, but it only gave new errors.
I solved my conversion issues by using a Data Conversion entity. This can be found on the SSIS Toolbox under Data Flow Transformations. I placed the Data Conversion between my Excel Source and OLE DB Destination, linked Excel to Data C, Data C to OLE DB, double clicked Data C to bring up a list of the data columns. Gave the problem column a new Alias, and changed the Data Type column.
Lastly, in the Mappings of the OLE DB Destination, use the Alias column name, rather than the original Excel column name. Job done.
You can use a Data Conversion component to convert to the desired data types.