Hello,

I have a table which a column "fee_type " declared as char(1)

The column can contain 'I' (uppercase i), 'C' or 'R'

When querying with Select * from <table> where fee_type in ('I', 'C')

the query returns nothing.

The query returns the rows I am expecting when doing one of the following:

where fee_type ilike ('I') or fee_type ilike ('C')
or
where fe.fee_type = chr(73) or fee_type = chr(67)
(this proves the value is indeed uppercase)

but nothing is returned either when I try
where fee_type like ('I') or fee_type like ('C')

I thought it would be related to the datatype so I tried casting the
'I' and 'C' to char(1), but I had no luck.

Could you give me a hint ?

thanks
Didier

---------------------------(end of broadcast)---------------------------
TIP 7: You can help support the PostgreSQL project by donating at

http://www.postgresql.org/about/donate

am Sun, dem 03.02.2008, um 9:26:34 +0100 mailte Didier Gasser-Morlay folgendes:
> Hello,
>
> I have a table which a column "fee_type " declared as char(1)
>
> The column can contain 'I' (uppercase i), 'C' or 'R'
>
> When querying with Select * from <table> where fee_type in ('I', 'C')
>
> the query returns nothing.

Works for me:

test=*# select * from fee;
id | fee_type
----+----------
1 | C
2 | I
3 | c
4 | i
5 | a
(5 rows)

test=*# select * from fee where fee_type in ('C','I');
id | fee_type
----+----------
1 | C
2 | I
(2 rows)


Please show us your table description (\d table like
test=*# \d fee
Table "public.fee"
Column | Type | Modifiers
----------+--------------+-----------
id | integer |
fee_type | character(1) |


and tell us your PG-Version.


Andreas
--
Andreas Kretschmer
Kontakt: Heynitz: 035242/47150, D1: 0160/7141639 (mehr: -> Header)
GnuPG-ID: 0x3FFF606C, privat 0x7F4584DA http://wwwkeys.de.pgp.net

---------------------------(end of broadcast)---------------------------
TIP 1: if posting/reading through Usenet, please send an appropriate
subscribe-nomail command to majordomo@postgresql.org so that your
message can get through to the mailing list cleanly