Adapter To Convert CSV Format File To SAP IDOC Format

Nov 16, 2006

Hi All,

I am stuck at one place, where I have to convert CSV format file data into SAP IDOC format file. In SSIS we don't have any such SAP adapter (though we have .NET Data Provider for mySAP suite [SSIS SAP Adapter] but this is still not fully supported by Microsoft, plus it doesn't have feature to convert data into IDOC format) that can do this. Can someone here please provide me some pointers on any third party adapters available in market to do this job or if anyone has already developed some custom approach to achieve this task?


Your quick response on this is highly appreciated.

Regards,

Kuldeep Chauhan

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Convert Dat Format File

Apr 23, 2008

The data file contains the answers given to questions asked during the course of an interview. This file contains data only for completed interviews. The file is ASCII based, and contains data in a card column format. This means that each record is spread over several rows in the file €“ called cards. Currently 39 cards make up one completed record, although this may change over time. There are 80 columns per row.





sample of data is as follows

record 1

0000301 108033135 ds880783 100325080327000451334779005133477900 1 001
000030251334779000 0 LISA E 002
0000303MCCARTHY est 11000000000000000000000000100 003
0000304DODGE GRCARA 2008 004
0000305Northgate Chrysler Dodge Jeep 005
00003068536 Colerain Ave Cincinnati 45251006
00003072914OHDEMOSS,MIKE 03-26-200811 007
00003081 1 120529101010 9 008
0000309 009
0000310 010
0000311 011
0000312 2 012
0000313 013
0000314 014
0000315120642 1 015
0000316 016
0000317 017
0000318 018
0000319 019
0000320 020
0000321 021
0000322 022
0000323 023
0000324 024
0000325 025
0000326 026
0000327 027
0000328 028
0000329 029
0000330 030
0000331 031
0000332 032
0000333 033
0000334 034
0000335 035
0000336 120557 036
00003373108629008110.000 North-gate Chrysler Dodge Jeep 037
0000338 1 3 038
0000339 039



Record 2


0000401 108033135 ds880609 300192080327000931868842133184587707 1 001
000040231868842131 0 MARK 002
0000403MURPHY cst 10010000000000000000000000100 003
0000404DODGE 2005 004
0000405Hebert's Town and Country Dodge Chrysle 005
00004061155 E Bert Kouns Shreveport 71105006
00004075628LA436 03-25-200811 007
00004083 1 120608 008
0000409 090909 009
0000410 4 010
0000411 011
0000412 2 012
0000413 013
0000414 014
0000415120759 1 015
0000416 016
0000417 017
0000418 018
0000419 019
0000420 020
0000421 021
0000422 022
0000423 023
0000424 024
0000425 025
0000426 026
0000427 027
0000428 028
0000429 029
0000430 030
0000431 031
0000432 032
0000433 033
0000434 034
0000435 035
0000436 120642 036
000043731086290081 09.000A-Bears Town and Country Chrysler Jeep 037
0000438 1 3 038
0000439 039


i need to convert this into a coma delimtited file ,file and i am failing whats need to be done to achieve it

its quite a new concept for me

please advise






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I have a table that has a DATE field named. AccountingDate that is in the format YYYY-MM-DD. It's not a VARCHAR field. I simply want to convert this date field into the format MM/DD/YYYY and call it New_Accounting_Date.

I've played with various combinations of CAST & CONVERT but haven't been able to get it to work.

Below is my latest effort which returns the error:

Incorrect syntax near the keyword 'as'

What code would work to return a MM/DD/YYYY value for New_Accounting_Date?

Select GLBATCH.AccountingDate,
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What The Format Codes Mean In SQL 'CONVERT'

Aug 28, 2007

Aloha !

I am posting this information simply as an FYI. This is in reference to the MS-SQL command "CONVERT"

I spent over 2 hours :rolleyes: screwing around trying to find out different ways of formatting dates from MS-SQL into something that makes sense for what I needed. I googled everything I could think of and found multiple references that said the info is available on MSDN.. but I could not find it. What I did find were thousands of relatively useless references to "format codes" for converting dates, but with no references to what the different format codes would ultimately yield, or what format codes were available to use.

What I ended up doing was writing a small script to generate a list of all of the variations I could find.

Below is the script, and the output that it yielded.
Now, before I get bombarded with "there is a better way" I know there probably is. But this is the way that I needed to do it this particular time. If there are technical errors in my explanation, anyone is welcome to correct them. But after 2 hours of messing with this for what should have been a super simple single .0009 second command, I am just irritated beyond belief that it had to be this complicated to find any useful information on the subject. That is why I am creating this. Hopefully it helps someone else.

The format for the MS SQL CONVERT command is :

CONVERT( length_of_output, date, format_code )

length_of_output : is exactly that . the number of characters that you want returned as your result. If you use a length of 6 you will only see the first 6 characters that are returned. I found the longest valid length to be 28 characters, but I went as high as 128 just for giggles and to see if it revealed any secrets.

date : is a valid date, I used directly the getdate() function

format_code : well.. that's the tricky part. See below.

What I did was ran a script that originally went from 1 to 20,000. It crashed at 15. Apparently the format codes are not totally sequential. So I put in an on error resume next.

What I found is that :
1) the codes are not uninterrupted sequential numbers.
2) the code output repeats every 255
3) negative numbers can be used, but its pointless.
4) useful valid codes are in the ranges of : 0-14, 20-25, 100-114, 120, 121, 126, 130 and 131
5) 0-25 typically represent "short dates" with the year being only 2 digits, but there are exceptions
6) 100 and above always returned a 4 digit year. the exception was 130 and 131, I don't know what it was trying to do.

Here is the script i ran

<%
on error resume next

for iintCounter = 0 to 256
SQL = "SELECT CONVERT(CHAR(128), getdate(), " & iintCounter & " ) as TheDate"
Set rsTheDateFormat = TheDatabase.Execute(SQL)

response.write SQL & " = " & rsTheDateFormat("TheDate") & "<br>"

set rsTheDateFormat = nothing
next
%>



and here is the output
SELECT CONVERT(CHAR(128), getdate(), 0 ) as TheDate = Aug 28 2007 6:46AM
SELECT CONVERT(CHAR(128), getdate(), 1 ) as TheDate = 08/28/07
SELECT CONVERT(CHAR(128), getdate(), 2 ) as TheDate = 07.08.28
SELECT CONVERT(CHAR(128), getdate(), 3 ) as TheDate = 28/08/07
SELECT CONVERT(CHAR(128), getdate(), 4 ) as TheDate = 28.08.07
SELECT CONVERT(CHAR(128), getdate(), 5 ) as TheDate = 28-08-07
SELECT CONVERT(CHAR(128), getdate(), 6 ) as TheDate = 28 Aug 07
SELECT CONVERT(CHAR(128), getdate(), 7 ) as TheDate = Aug 28, 07
SELECT CONVERT(CHAR(128), getdate(), 8 ) as TheDate = 06:46:45
SELECT CONVERT(CHAR(128), getdate(), 9 ) as TheDate = Aug 28 2007 6:46:45:507AM
SELECT CONVERT(CHAR(128), getdate(), 10 ) as TheDate = 08-28-07
SELECT CONVERT(CHAR(128), getdate(), 11 ) as TheDate = 07/08/28
SELECT CONVERT(CHAR(128), getdate(), 12 ) as TheDate = 070828
SELECT CONVERT(CHAR(128), getdate(), 13 ) as TheDate = 28 Aug 2007 06:46:45:507
SELECT CONVERT(CHAR(128), getdate(), 14 ) as TheDate = 06:46:45:507
SELECT CONVERT(CHAR(128), getdate(), 20 ) as TheDate = 2007-08-28 06:46:45
SELECT CONVERT(CHAR(128), getdate(), 21 ) as TheDate = 2007-08-28 06:46:45.540
SELECT CONVERT(CHAR(128), getdate(), 22 ) as TheDate = 08/28/07 6:46:45 AM
SELECT CONVERT(CHAR(128), getdate(), 23 ) as TheDate = 2007-08-28
SELECT CONVERT(CHAR(128), getdate(), 24 ) as TheDate = 06:46:45
SELECT CONVERT(CHAR(128), getdate(), 25 ) as TheDate = 2007-08-28 06:46:45.540
SELECT CONVERT(CHAR(128), getdate(), 100 ) as TheDate = Aug 28 2007 6:46AM
SELECT CONVERT(CHAR(128), getdate(), 101 ) as TheDate = 08/28/2007
SELECT CONVERT(CHAR(128), getdate(), 102 ) as TheDate = 2007.08.28
SELECT CONVERT(CHAR(128), getdate(), 103 ) as TheDate = 28/08/2007
SELECT CONVERT(CHAR(128), getdate(), 104 ) as TheDate = 28.08.2007
SELECT CONVERT(CHAR(128), getdate(), 105 ) as TheDate = 28-08-2007
SELECT CONVERT(CHAR(128), getdate(), 106 ) as TheDate = 28 Aug 2007
SELECT CONVERT(CHAR(128), getdate(), 107 ) as TheDate = Aug 28, 2007
SELECT CONVERT(CHAR(128), getdate(), 108 ) as TheDate = 06:46:45
SELECT CONVERT(CHAR(128), getdate(), 109 ) as TheDate = Aug 28 2007 6:46:45:913AM
SELECT CONVERT(CHAR(128), getdate(), 110 ) as TheDate = 08-28-2007
SELECT CONVERT(CHAR(128), getdate(), 111 ) as TheDate = 2007/08/28
SELECT CONVERT(CHAR(128), getdate(), 112 ) as TheDate = 20070828
SELECT CONVERT(CHAR(128), getdate(), 113 ) as TheDate = 28 Aug 2007 06:46:45:930
SELECT CONVERT(CHAR(128), getdate(), 114 ) as TheDate = 06:46:45:930
SELECT CONVERT(CHAR(128), getdate(), 120 ) as TheDate = 2007-08-28 06:46:45
SELECT CONVERT(CHAR(128), getdate(), 121 ) as TheDate = 2007-08-28 06:46:45.943
SELECT CONVERT(CHAR(128), getdate(), 126 ) as TheDate = 2007-08-28T06:46:45.990
SELECT CONVERT(CHAR(128), getdate(), 130 ) as TheDate = 15 ????? 1428 6:46:46:040AM
SELECT CONVERT(CHAR(128), getdate(), 131 ) as TheDate = 15/08/1428 6:46:46:040AM
SELECT CONVERT(CHAR(128), getdate(), 256 ) as TheDate = Aug 28 2007 6:46AM

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date
-----------------------
2006-01-01 00:00:00.000
2006-01-02 00:00:00.000
2005-12-03 00:00:00.000

(3 row(s) affected)


Does anyone know how I should go about getting these date columns into a datetime table and convert the 00-XXX-00 values into NULLs?

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