I am inserting a lot of measurement data from different sources in a postgres database. The data are a measured value and an uncertainty (and a lot of auxilliary data) The problem is that in some cases I get an absolute error value eg 123 +/- 33, in other cases, I get a relative error as a percentage of the measured value, eg 123 +/- 10%. I would like to store all the measurements with absolute error, i.e the latter should be stored as 123 +/- 12.3 - (at this point, I don't care too much about the valid number of digits)
My idea is to use a trigger to do this. Basically, if the error is numeric, store it as is, if it is non-numeric, check if the last character is '%', in that case, multiply it with the measured value, divide by 100 and store the resulting value. I got an isnumeric-function from here: isnumeric() with PostgreSQL which works fine. But when I try to make this into a trigger, it seems as if the input is checked for validity even before the trigger fires, so that the insert is abortet before I get any possibility to do anything with the values.
my triggerfunction: (need to do the calculation, just setting the error to 0 here...
create function my_trigger_function()
returns trigger as'
begin
if not isnumeric(new.err) THEN
new.err=0;
end if;
return new;
end' language 'plpgsql';
then I connect it to the table:
create trigger test_trigger
before insert on test
for each row
execute procedure my_trigger_function();
Doing this, I would expect to get val=123 and err=0 for the following insert
insert into test(val,err) values(123,'10%');
but the insert fails with "invalid input syntax for type numeric" which then must be triggered before my trigger gets any possibility to see the data (or I have misunderstood something basic). Is it possible to make the new.err data-type agnostic or can I run the trigger even earlier or is what I want to do just plain impossible?