Creating a new row when there is more than one column - excel

How would you force create a new row in Excel wherever there is a an additional column (i.e. more than one) - as seen below?
I'm currently doing this manually and it is quite time consuming.

I recently had to do this exact thing, and came up with two solutions:
1) Export as CSV, run several search+replaces on the data with a text tool, re-import into Excel, then use a formula to create the duplicate user numbers for empty first rows.
2) Write 15 lines of PHP code to turn the CSV into a new CSV.
The second is MUCH more effective and flexible, but it requires a basic coding environment.

Related

Set specific height for all existing/new rows of a table

I have used Excel for quite some time now but only using traditional formulas. Now I am trying to create a more elaborated document for my business using VBA coding to expand my possibilities.
I have done some research and started practicing but found something that I can’t understand how to do yet.
I have a worksheet with a table on it. Since this is a fresh document it has nothing but the header and a blank row below it. What I always did when writing the information was type text in any of the columns that belong to the row immediately below the table (without actually inserting a new row myself). This creates a new row for the table where most of its format is kept, such as text size and formulas. However, I noticed that the row height doesn’t automatically change to that of the previous rows of the table, and changing it manually for each new row is very time consuming.
I would really appreciate it if anyone could share me the necessary Excel VBA code to fix this issue. I have thought of two possible approaches. The first one is a code that automatically sets all the rows of the table to a height of 20 (I want all rows to be the same size so no problem with that), supposing this would also affect new rows as I add them the way I mentioned. The second one would be a code that automatically sets every new row of the table to a size of 20. It doesn’t matter which one you choose, the easiest will be just fine. Thanks in advance.

Why is the text in my excel spreadsheet created from csv treating everything as text?

I wrote a python script to generate some data into a csv file. The data looks something like the following:
12/10/2015 1 0:05:38 0:09:18 0:00:24 0:15:20
5/11/2016 1 0:39:07 3:22:09 0:00:08 4:01:24
7/27/2016 1 0:00:00 0:37:42 0:02:12 0:39:54
8/4/2016 1 0:00:00 0:00:29 0:00:35 0:01:04
10/3/2016 1 0:05:51 0:50:46 0:00:17 0:56:54
The data I am interested in analyzing is in the form of h:mm:ss but formuals that I write to sum the information doesn't work. I figured out that the ISTEXT(CELLNUM) is returning TRUE so it is clearly treating the data is text even if I manually reformat the cells as h:mm:ss. I must be overlooking something simple because there must be a way to do this easier without having to go through a process every time I open a CSV into excel and save it as a spreadsheet. How can I open this csv into excel and save as a spreadsheet in a way that I can setup formulas to sum the times? I might end up creating a lot of these CSV files so I need a way to do it that is fast. What am I missing? Why isn't simply selecting all of the cells and reformatting them working?
The best answer is posted here by jeeped
When you have pasted data from an external source (e.g. web pages are
horrific for this) into a worksheet and numbers, dates and/or times
come in as textual representations rather than true numbers, dates
and/or times usually the quickest method is to select the column and
choose Data ► Text to Columns ► Fixed Width ► Finish. This forces
Excel to reevaluate the text values and should revert the
pseudo-numbers into their true numerical values.
It's strange that excel can't figure this out or provide a way to do it as the data is imported. It can handle dates during import but not time. However the fact that I can so easily fix the time values one column at a time after saving as an xlsx file makes me wonder why Microsoft never bothered to just make it easier to specify what the columns are when bringing in the data the first time. Instead I have to search the internet for hours on end to ultimately find a solution that takes just a minute or two. Weird. There are some other answers posted for other types of data where you can use paste special to add a number to the existing data but those solutions do not seem to work for time.

Excel Turn Chunks of Text Into Columns

I need to find a programmatic way to do the following. Basically, I have a text file with the followoing:
Of course, there is real data in there and there are several thousand different "chunks" like this. First, we would like to collapse Job Title 1 and Job Title 2 into a single line. Then, we need to import this into excel in a row format. Such as:
I've tackled a similar problem at my job, and the data can actually be manipulated purely in Excel. Your first step is to just get it into Excel, open it in Notepad - copy, then paste into Excel - or optionally try to open it. The trick is to use the "blank row" as a trigger for a set or formulas that you just fill down. When it's done you copy all the results over to a new worksheet, and sort so all the blank rows get thrown away. You'll have to hack away at your data and merge the various results next - but that wont be too hard because you should get 3 different kinds of rows (those with 1 job, 2, 3) .. just fix them with a unique formula each. Hopefully this gives you an idea of how to get started:

Skipping rows when importing Excel into SQL using SSIS 2008

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.

How to export SSIS to Microsoft Excel without additional software?

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.

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