Importing data from a model to a custom table

Hi,
I'm new to Configurator.
Can someone please advice in detail how to import all possible combinations from a model in the configurator to a custom table?
I have created a custom table based on the items in the model.
I have also written a CIO which displays all the possible combinations in a html page when a button is clicked.
What i want is, how to connect to a database and import into the custom table.
Any Help Appreciated.
Thanks in advance.
--PK

PK,
You probably meant to post this in one of the E-Business Suite forums. This forum is for JDev ;) Try the [url http://forums.oracle.com/forums/forum.jspa?forumID=413]Configurator Forum
John

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How to import data from a text file into a table

Hello,
I need help with importing data from a .csv file with comma delimiter into a table.
I've been struggling to figure out how to use the "Import from Files" wizard in Oracle 10g web-base Enterprise Manager.
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I have looked at the Oracle Database Utilities - Overview of Oracle Data Pump and the Help on the "Import: Files" page.
Neither one gave me enough instruction to be able to do the import successfully.
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>
I can say that anybody with
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Anybody with no experience should not mess up my Oracle Databases !

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Please Mark This As Answer if it solved your issue
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Visakh
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Importing data from a text file into a table

Hi Experts,
I have the following flat file
weekly_eft_repo 1.0                                                                                                       Page: 1
CDC:00304 / Sat Oct-31-2009     Weekly EFT Sweep for 25/10/09 - 31/10/09 Effective Date 03/11/09         Sat Oct-31-2009 22:06:14
Bill to
Retailer Retailer Name                  Name on Bank Account           Bank ABA   Bank Acct            On-line Amount Instant Amount Total Amount
======== ============================== ============================== ========== ==================== =============== =============== ===============
0200101 Triolet Popular Store          Triolet Popular Store          111111111 62030100130659            10,868.00            0.00       10,868.00
0200103 Le Cacharel Snack              Le Cacharel Snack              111111111 62030100130813             9,728.00            0.00        9,728.00
0200104 Advanced Co-operative Self Ser Advanced Co-operative Self Ser 111111111 111111111                  7,334.00            0.00        7,334.00
0200105 Chez Popo Supermarket          Chez Popo Supermarket          111111111 61030100044898            30,932.00            0.00       30,932.00
0200106 Vana Supermarket               Vana Supermarket               111111111 111111111                 17,775.00            0.00       17,775.00
0200107 Mont Choisy Store              Mont Choisy Store              111111111 62030100130804             8,840.00            0.00        8,840.00
0200108 Vijay Store                    Vijay Store                    111111111 62030100131229            16,416.00            0.00       16,416.00
0200109 Neptune Confection             Neptune Confection             111111111 62030100130931            11,077.00            0.00       11,077.00
0200110 Antoine Store                  Antoine Store                  111111111 111111111                  2,470.00            0.00        2,470.00
0200111 P.S.C Cold Storage             P.S.C Cold Storage             111111111 111111111                 10,431.00            0.00       10,431.00
0200113 Mini Prix Boutique             Mini Prix Boutique             111111111 62030100131501            26,315.00            0.00       26,315.00
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0200116 Aman Snack                     Aman Snack                     111111111 62030100129481             7,334.00            0.00        7,334.00
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TABLE weekly_eft_report_temp
Name                                      Null?    Type
BILL_TO_RETAILER                          NOT NULL VARCHAR2(15)
RETAILER_NAME                                      VARCHAR2(100)
NAME_ON_BANK_ACCOUNT                               VARCHAR2(100)
BANK_ABA                                           VARCHAR2(1)
BANK_ACCT                                          VARCHAR2(1)
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INSTANT_AMOUNT                                     NUMBER
TOTAL_AMOUNT                                       NUMBER Whats the easiest and best way to proceed on that?
Thanks
Kevin

I am with Chris on this one.
If those headers are repeating in your text file, you could run a simple script to cleanse the data first and make the file fit for SQL*Loader.
Here's an example with Perl, I hope the header of Page 2 and onwards resembles what you have in your file. I've snipped some data from the far right so that it fits on my terminal screen:
$
$ # show the contents of the data file
$
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weekly_eft_repo 1.0                                                                                        Page: 1
CDC:00304 / Sat Oct-31-2009 Weekly EFT Sweep for 25/10/09 - 31/10/09 Effective Date 03/11/09 Sat Oct-31-2009 22:06:14
Bill to
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======== ============================== ============================== ========== ==================== ===============
0200101 Triolet Popular Store          Triolet Popular Store          111111111 62030100130659            10,868.00
0200103 Le Cacharel Snack              Le Cacharel Snack              111111111 62030100130813             9,728.00
0200104 Advanced Co-operative Self Ser Advanced Co-operative Self Ser 111111111 111111111                  7,334.00
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weekly_eft_repo 1.0                                                                                        Page: 2
CDC:00304 / Sat Oct-31-2009 Weekly EFT Sweep for 25/10/09 - 31/10/09 Effective Date 03/11/09 Sat Oct-31-2009 22:06:14
Bill to
Retailer Retailer Name                  Name on Bank Account           Bank ABA   Bank Acct            On-line Amount
======== ============================== ============================== ========== ==================== ===============
0200107 Mont Choisy Store              Mont Choisy Store              111111111 62030100130804             8,840.00
0200108 Vijay Store                    Vijay Store                    111111111 62030100131229            16,416.00
0200109 Neptune Confection             Neptune Confection             111111111 62030100130931            11,077.00
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0200111 P.S.C Cold Storage             P.S.C Cold Storage             111111111 111111111                 10,431.00
weekly_eft_repo 1.0                                                                                        Page: 3
CDC:00304 / Sat Oct-31-2009 Weekly EFT Sweep for 25/10/09 - 31/10/09 Effective Date 03/11/09 Sat Oct-31-2009 22:06:14
Bill to
Retailer Retailer Name                  Name on Bank Account           Bank ABA   Bank Acct            On-line Amount
======== ============================== ============================== ========== ==================== ===============
0200113 Mini Prix Boutique             Mini Prix Boutique             111111111 62030100131501            26,315.00
0200114 Hotel Cassim                   Hotel Cassim                   111111111 111111111                135,147.00
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$
$
$ # snip off the headers using Perl so that the transformed file has just the data to load
$
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0200101 Triolet Popular Store          Triolet Popular Store          111111111 62030100130659            10,868.00
0200103 Le Cacharel Snack              Le Cacharel Snack              111111111 62030100130813             9,728.00
0200104 Advanced Co-operative Self Ser Advanced Co-operative Self Ser 111111111 111111111                  7,334.00
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0200117 Best For Less Company Ltd      Best For Less Company Ltd      111111111 111111111                  3,325.00
0200118 Central Way                    Central Way                    111111111 111111111                 25,137.00
$
$ You could do an inline substitution with Perl, or redirect it to a temp file and then move back to the original file. In either case, you have just the relevant data for the next step.
Again, Perl is just one option. On Unix/Linux systems, you have a large number of utilities/scripting languages that can perform almost any kind of data transformation.
HTH,
isotope

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