Hi!
I am working on updating some of our tables to use appropriate native data
types; they were all defined as text when they were created years ago.
What I am running into, though, is there are some records that have bad data in
them, where they can't be successfully converted to int, or float, or boolean,
for example.
Is there a straightforward way to identify offending records?
I've been able to identify some with things like "...not similar to '(0|1)'..."
for the boolean fields, and "...not similar to '[0-9]{1,}'..." for int.
Are regular expressions the best approach here or is there a better way?
Thoughts?
I've poked around on the internet and have found some people suggesting
user-defined functions. I'd prefer to just use a query, since it's a one-time
clean-up.
(I'm using postgres 9.2)
Thanks!
Natalie
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