How can I validate the data in the control file?

Consider that the SQLLoader reads the data entry of the path file and loads the data in the base tables up on top of the description specified in the control file.
First, the form is created:

create table sql_loader_1 (load_time date, digital Champ_1, Champ_2 varchar2 (10))
Example of control file:
load_1.CTL

load data
INFILE "load_1.dat", "str"\r\n"
insert into table sql_loader_1
(
load_time sysdate,
Champ_2 position (01:10).
Champ_1 position(11:20)
)
Note that positions 11 to 20 are loaded in positions 1 to 10 in Champ_2 and Champ_1. The load_time field is filled with time current (sysdate) load.

Here is the data. The name of the file (load_1.dat) had been specified with the statement for infile in the control file.

load_1.dat

0123456789abcdefghij
**********##########
foo bar
This is a very long line
and the next one is
short

declared the Champ_1 as a numeric data type, but the input data file contains the data "Sue"(position 11:20) so the sql loader adds not the record to the database instead the record is written in the bad file. But I want to validate the data of the "(position 11:20) is digital or not." How can I post this in the control file itself? If it is not possible, how can I validate it in the database? give me a sample code to explain this

Here are two ideas.

Idea 1: This control file will check to see if the data to be loaded in Champ_1 contains a number (including the negative and decimal).

load data
infile 'load_1.dat' "str '\r\n'"
insert into table sql_loader_1
(
load_time sysdate,
field_2 position( 1:10),
field_1 position(11:20) "decode(trim(translate(:field_1,'-0123456789.',' ')),null,:field_1,-999)"
)

If Champ_1 is a number or null, it is passed through, as is. If there is no numeric characters (in addition to '-'and'.') a distinct value-999 will be inserted for you allow to load the rest of the columns and easy to see the lines had data that cannot be loaded in Champ_1. This idea has its flaws (a string like "... ("will always drain the .bad file)

Idea 2: Load the data into a staging table first (or define an external table) where all columns are VARCHAR2. Then use SQL or PL/SQL to validate data in the staging table in your process to move the data into the table with the actual data types.

Tags: Database

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