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How do I test if a column defined as non-numeric has numeric data in DB2-SQL?
Posted on 2008-10-16
I am using SQL for DB2 V8.
I want to test a column for numeric value, even that the column is of non-numeric type, in a SELECT statement.
Is there a function that does it.?
Thanks
Yossele
I want to test a column for numeric value, even that the column is of non-numeric type, in a SELECT statement.
Is there a function that does it.?
Thanks
Yossele
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8 Comments
you can use the translate function and translate each numeric character to blank,
then use trim and check if you get the empty string
for example
select ....
from
where rtrim(ltrim(translate(your
then use trim and check if you get the empty string
for example
select ....
from
where rtrim(ltrim(translate(your
Active 2 days ago
There are several ways to accomplish this, but I use the following user-defined function:
HTH,
DaveSlash
CREATE FUNCTION IsNumeric (
inString VARCHAR(100)
)
RETURNS SmallInt
LANGUAGE SQL
modifies sql data
BEGIN
-- Scratch variables used for processing
DECLARE stringLength INT;
DECLARE loopCounter INT;
DECLARE charAtPos VARCHAR(1);
-- If the incoming string is NULL, return 0
IF (inString IS NULL) THEN
RETURN 0;
End If;
-- Initialize the scratch variables
SET stringLength = LENGTH(inString);
SET loopCounter = 1;
-- Loop over the string
WHILE (loopCounter <= stringLength) DO
-- Get the single character off the string
SET charAtPos = LOWER(SUBSTRING (inString, loopCounter, 1));
IF ((CharAtPos < '0') or (CharAtPos > '9')) then
RETURN 0;
END IF;
SET loopCounter = loopCounter + 1;
END WHILE;
-- Return the final output
RETURN 1;
END
Active 2 days ago
If you wanted to account for decimals and negative-signs, that's easy enough to add to either of the two methods above.
e.g.
select .....
from .....
where trim(translate(avc,' ','.-1234567890')) = ' '
-- DaveSlash
Active today
I'm with Momi on this one. Why write a UDF when straight-forward SQL will suffice?
In his example, the calls to RTRIM and LTRIM are unnecessary. If the underlying data type is VARCHAR, the returned value is be an empty string. If the underlying data type is CHAR, the value returned by the calls to TRANSLATE, RTRIM, and/or LTRIM will be padded to match the size of the source variable.
Kent
In his example, the calls to RTRIM and LTRIM are unnecessary. If the underlying data type is VARCHAR, the returned value is be an empty string. If the underlying data type is CHAR, the value returned by the calls to TRANSLATE, RTRIM, and/or LTRIM will be padded to match the size of the source variable.
Kent
Active 2 days ago
One last thing. If you have spaces that you consider non-numeric, then you'll need ro translate that space into a character value before comparing it.
e.g.
where trim(translate(avc,' z','.-1234567890 ')) = ' '
-- DaveSlash
Active today
[slightly off topic]
It seems that an awful lot of data questions could be answered with a relatively straight-forward "IsRegex" function to test user data against a user supplied format string.
IsRegex ('[0-9]*', your_string)
IsRegex ('[0-9]{1,*}', your_string) -- Don't allow an empty string
It wouldn't be much more than encapsulating the regular expression evaluator in all *nix distributions into a function. Because of it's recursive nature, I'd hate to write one in SQL, but writing it in C++ is nearly trivial.
Maybe I'll suggest this to IBM. :)
[/slightly]
Kkent
I prefer the lazy approach, if possible. meaning it depends on the number of rows that have to be evaluated and what the action taken will be if indeed there is numeric value there. So, I quickly export the column to a del file and then import into MS access, defining the column as int. Access will generate an import error file listing the line number that contains the error! I know, lazy and cumbersome, but it works!
If the number of rows is quite large, then C++ utility is what I use.
If the number of rows is quite large, then C++ utility is what I use.
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