PLSQL: ORA-01722: invalid number: MILLARES varchar2(50)

Posted on 2014-10-30
Last Modified: 2014-10-31
i have this column MILLARES varchar2(50)

storage this values:

i need convert only two decimal, i use to_number but i have error: ORA-01722: invalid number:
Question by:enrique_aeo
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LVL 25

Expert Comment

ID: 40415020
It works
Most likely it does not work for you due to the NLS_LANG settings. Can you check what format is currently set. Check this article to find out. If required, change it to ".,":

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LVL 48

Accepted Solution

PortletPaul earned 350 total points
ID: 40415030
try these:
      , to_number(MILLARES)
where upper(MILLARES) = lower(MILLARES)

-- non-numeric values
where upper(MILLARES) <> lower(MILLARES)

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LVL 16

Assisted Solution

by:Wasim Akram Shaik
Wasim Akram Shaik earned 50 total points
ID: 40415052
One more reason for that error could be, the values which are stored in the table may have an appended extra line character in their value..

see the same sql fiddle posted here to recreate your error!4/2fc7b/1

The error generated because of this value

insert into Table1 ("MILLARES")
		 VALUES ('  9.0850000000000009 

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See the New Line Character , it may not be visible to you but while internal conversion from char to number, this may have raised the error which you have encountered

In your case you may have some hidden text characters if not exactly a new line character, you have to find them out and and replace them with null so as to proceed further without any error

for ex: The below statement will result in the ORA-01722: invalid number:

select to_number('  9.0850000000000009 
                 ') from dual;

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Where as the below statement will execute successfully

select to_number(replace('  9.0850000000000009 
                 ',chr(10),'')) from dual;

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You can use round function in addition to the above one so as to round the value to 2 decimal points
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LVL 37

Expert Comment

by:Geert Gruwez
ID: 40415186
the column is a  varchar type ...

try and find all data which isn't a number first
exclude that and then run to_number

with cte as (
  select *
  from table_name
  where regexp_like(MILLARES , '\d*([.,]\d*)?'))
select to_number(millares) num_millares from cte

and then trunc it to 2 decimals
with cte as (
  select *
  from table_name
  where regexp_like(MILLARES , '\d*([.,]\d*)?'))
select trunc(to_number(millares), 2) num_millares from cte
LVL 35

Assisted Solution

johnsone earned 50 total points
ID: 40415447
Along the lines of everyone else, I would believe that this is a data issue.

To find the bad rows, you can use regexp as suggested, however that wouldn't account for difference in NLS settings.  I would prefer to use a function like this one:

CREATE FUNCTION is_number (p_string IN VARCHAR2)
   v_new_num NUMBER;
   v_new_num := TO_NUMBER(p_string);
   RETURN 1;
   RETURN 0;
END is_number;

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Then to find the bad records, it would simply be this:

SELECT rowid, millares 
FROM   mytab 
WHERE  Is_number(millares) = 0; 

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From there, fix the rows that show in the query and then your original issue should go away.  However, it will come back as soon as bad data enters the field again.
LVL 32

Assisted Solution

awking00 earned 50 total points
ID: 40415804
To find non-numeric characters -
select * from table where regexp_replace(millares,'[0-9.]+') is not null;
LVL 32

Expert Comment

ID: 40416077
Note that the upper/lower comparison will not catch special characters like '#' or a linefeed.

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