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.
I have not been able to find a simple instruction on how to use the Wizard.
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.
Using the "Import from file" wizard, I created a Directory Object using the Create Directory Object button. I Copied the file from which i needed to import the data into the Operating System Directory i had defined in the Create Directory Object page. I chose "Entire files" for the Import type.
Step 1 of 4 is the "Import:Re-Mapping" page, I have no idea what i need to do on this page. All i know i am not tying to import data that was in one schema into a different schema and I am not importing data that was in one tablespace into a different tablespace and i am not R-Mapping datafiles either. I am importing data from a csv file.
For step 2 of 4, "Import:Options" page, I selected the same directory object i had created.
For step 3 of 4, I entered a job name and a description and selected Start Immediately option.
What i noticed going through the wizard, the wizard never asked into which table do i want to import the data.
I submitted the job and I got ORA-31619 invalid dump file error.
I was sure that the wizard was going to fail when it never asked me into which table do i want to import the data.
I tried to use the "imp" utility in command-line window.
After I entered (imp), i was prompted for the username and the password and then the buffer size as soon as i entered the min buffer size I got the following error and the import was terminated:
C:\>imp
Import: Release 10.1.0.2.0 - Production on Fri Jul 9 12:56:11 2004
Copyright (c) 1982, 2004, Oracle. All rights reserved.
Username: user1
Password:
Connected to: Oracle Database 10g Enterprise Edition Release 10.1.0.2.0 - Produc
tion
With the Partitioning, OLAP and Data Mining options
Import file: EXPDAT.DMP > c:\securParms\securParms.csv
Enter insert buffer size (minimum is 8192) 30720> 8192
IMP-00037: Character set marker unknown
IMP-00000: Import terminated unsuccessfully
Please show me the easiest way to import a text file into a table. How complex could it be to do a simple import into a table using a text file?
We are testing our application against both an Oracle database and a MSSQLServer 2000 database.
I was able to import the data into a table in MSSQLServer database and I can say that anybody with no experience could easily do an export/import in MSSQLServer 2000.
I appreciate if someone could show me how to the import from a file into a table!
Thanks,
Mitra

>
I can say that anybody with
no experience could easily do an export/import in
MSSQLServer 2000.
Anybody with no experience should not mess up my Oracle Databases !

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    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
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    BILL_TO_RETAILER                          NOT NULL VARCHAR2(15)               
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    NAME_ON_BANK_ACCOUNT                               VARCHAR2(100)              
    BANK_ABA                                           VARCHAR2(1)                
    BANK_ACCT                                          VARCHAR2(1)                
    ON_LINE_AMOUNT                                     NUMBER                     
    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
    Retailer Retailer Name                  Name on Bank Account           Bank ABA   Bank Acct            On-line Amount
    ======== ============================== ============================== ========== ==================== ===============
    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
    0200105 Chez Popo Supermarket          Chez Popo Supermarket          111111111  61030100044898            30,932.00
    0200106 Vana Supermarket               Vana Supermarket               111111111  111111111                 17,775.00
    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
    0200110 Antoine Store                  Antoine Store                  111111111  111111111                  2,470.00
    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
    0200116 Aman Snack                     Aman Snack                     111111111  62030100129481             7,334.00
    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
    $
    $
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    $
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    $
    $ 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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    UTL_FILE.FCLOSE(file_id);

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    sql_stmt1 varchar2(1000);
    sql_stmt2 varchar2(1000);
    v_column_value varchar2(1000);
    sql_stmt varchar2(2000);
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    splitstr      VARCHAR2(30)          :=     '';
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    processed      BOOLEAN               :=     FALSE;
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    type_rec tab133;
    v_cursor integer;
    column_currowcount number;
    v_dummy number:=0;
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    select count(column_name)
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    from user_tab_columns
    where table_name = upper(p_table_name)
    order by column_name;
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    sql_stmt1 := sql_stmt1 || col_rec.column_name ||',';
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                   splitstr      :=      SUBSTR(mainstr,l_count,LENGTH(mainstr)+1-l_count);
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    UTL_FILE.FCLOSE(file_id);
    EXCEPTION
    when others then
    dbms_output.put_line(sqlerrm);
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    END;
    TEST:
    SQL> DESC EMP1
    Name Null? Type
    ENAME VARCHAR2(15)
    SUBJ VARCHAR2(15)
    SDATE DATE
    DATA FILE:
    AABC,oracle,08/08/2001
    xyz,social,12/12/2001
    SQL> select * from emp1;
    ENAME SUBJ SDATE
    AABC oracle 08/08/2001 00:00:00
    xyz social 12/12/2001 00:00:00

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