BUG REPORT

Started by Marcin Polakabout 27 years ago1 messagesbugs
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#1Marcin Polak
marcin@indigo.pl

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POSTGRESQL BUG REPORT TEMPLATE
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Your name :Marcin Polak
Your email address :marcin@indigo.pl

System Configuration
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Architecture (example: Intel Pentium) :Intel Pentium

Operating System (example: Linux 2.0.26 ELF) :Linux 2.0.35 ELF

PostgreSQL version (example: PostgreSQL-6.4) :PostgreSQL-6.4.2

Compiler used (example: gcc 2.8.0) :egcs-1.1b-2

Please enter a FULL description of your problem:
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After creating index on a text field (1000000 records), Postgres doesn't
give proper answer on a query using this index.

Please describe a way to repeat the problem. Please try to provide a
concise reproducible example, if at all possible:
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I've created database with a python sript (attached)
It makes:
"create table tt2_1 (ntt int, nttext int, ntttext varchar(50) )"
and then insert 1000000 records.

Then I've created index:
create index i1 on tt2_1(ntttext); -- index on third column

When I'm connected with psql, I'm doing:
select * from tt2_1 where nttext = 123456 and ntttext =
'123456123456123456';

and answer is:
ntt|nttext| ntttext
------+------+------------------
123456|123456|123456123456123456
(1 row)

and that's right;

But on:
marcin=> select * from tt2_1 where ntttext = '123456123456123456';
ntt|nttext|ntttext
---+------+-------
(0 rows)

and that's not right, am I right :-) ?
It happens when I'm using similar like condition, like
"blah blah ntttext like '123456%' "

What more:

postgres is run with parameters: -B 1000 -o -F

If you know how this problem might be fixed, list the solution below:
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Sorry :-(.

BTW. How big database you think, Postgres can manage with?

PS. My interesting observation is, that if I create six or seven tables (I
don't remember exactly how many) with 1000 to 5000 records and do simple
"SELECT" using all tables Postgres answers in a second (with indices), and
with one more table, when GEQO turns on, I'm getting answer in 30 seconds.
I can't see, in which condition it helps?

Regards from Poland
Marcin

Attachments:

gendb2.pytext/plain; charset=US-ASCII; name=gendb2.pyDownload