Quoting Arjen van der Meijden <[EMAIL PROTECTED]>:
> Hi list,
>
> I noticed on a forum a query taking a surprisingly large amount of time
> in MySQL. Of course I wanted to prove PostgreSQL 8.0.1 could do it much
> better. To my surprise PostgreSQL was ten times worse on the same
> machine! And I don't understand why.
>
> I don't really need this query to be fast since I don't use it, but the
> range-thing is not really an uncommon query I suppose. So I'm wondering
> why it is so slow and this may point to a wrong plan being chosen or
> generated.
>
> Here are table definitions:
>
> Table "public.postcodes"
> Column | Type | Modifiers
> -------------+---------------+-----------
> postcode_id | smallint | not null
> range_from | smallint |
> range_till | smallint |
> Indexes:
> "postcodes_pkey" PRIMARY KEY, btree (postcode_id)
> "range" UNIQUE, btree (range_from, range_till)
>
> Table "public.data_main"
> Column | Type | Modifiers
> --------+----------+-----------
> userid | integer | not null
> range | smallint |
> Indexes:
> "data_main_pkey" PRIMARY KEY, btree (userid)
>
> And here's the query I ran:
>
> SELECT COUNT(*) FROM
> data_main AS dm,
> postcodes AS p
> WHERE dm.range BETWEEN p.range_from AND p.range_till
I just posted an answer to this (via webcafe webmail; can't recall which
pg-list), that might interest you.
BTree indexes as they stand (multi-column, ...) answer what most people need for
queries. Unfortunately, out-of-the-box, they have no good way of handling range
queries. To compensate, you can use a small amount of kinky SQL. This is in the
same line as the tricks used to implement hierarchic queries in relational SQL.
[1] Create a table "widths"(wid int) of powers of 2, up to what will just cover
max(range_till-range_from). Since your "range" column is a smallint, this table
can have no more than 15 rows. You can get as fussy as you want about keeping
this table to a minimum.
[2] Change postcodes:
ALTER TABLE postcodes
ADD wid INT USING 2 ^ CEIL(LOG(range_from - range_till,2));
ALTER TABLE postcodes
ADD start INT USING range_from - (range_from % wid);
CREATE INDEX postcodes_wid_start_index ON (wid, start);
ANALYZE postcodes;
[4] Write your query as:
SELECT COUNT(*)
FROM data_main AS dm
CROSS JOIN widths -- yes, CROSS JOIN. For once, it HELPS performance.
JOIN postcodes AS p
ON dm.wid = widths.wid AND dm.start = p.range - p.range % widths.wid
WHERE dm.range BETWEEN p.range_from AND p.range_till
This uses BTREE exact-match to make a tight restriction on which rows to check.
YMMV, but this has worked even for multi-M table joins.
--
"Dreams come true, not free."
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