We have a "companies" and a "contacts" table with about 3000 records
each.
We run the following SQL-Command which runs about 2 MINUTES !:
SELECT count(*) FROM contacts LEFT JOIN companies ON contacts.sid =
companies.intfield01
contacts.sid (type text, b-tree index on it)
companies.intfield01 (type bigint, b-tree index on it)
comfire=> explain analyze SELECT count(*) FROM prg_contacts LEFT JOIN
prg_addresses ON prg_contacts.sid=prg_addresses.intfield01;
NOTICE: QUERY PLAN:
Aggregate (cost=495261.02..495261.02 rows=1 width=15) (actual
time=40939.38..40939.38 rows=1 loops=1)
-> Nested Loop (cost=0.00..495253.81 rows=2885 width=15) (actual
time=0.05..40930.14 rows=2866 loops=1)
-> Seq Scan on prg_contacts (cost=0.00..80.66 rows=2866
width=7) (actual time=0.01..18.10 rows=2866 loops=1)
-> Seq Scan on prg_addresses (cost=0.00..131.51 rows=2751
width=8) (actual time=0.03..6.25 rows=2751 loops=2866)
Total runtime: 40939.52 msec
EXPLAIN
Note:
- We need the left join because we need all contacts even if they are
not assigned to a company
- We are not able to change the datatypes of the joined fields
because we use a standard software (btw who cares: SuSE Open Exchange
Server)
- When we use a normal join (without LEFT or a where clause) the SQL
runs immediately using the indexes
How can I force the usage of the indexes when using "left join". Or
any other SQL construct that does the same !? Can anybody please give
us a hint !?
Thanks in forward.
Greetings
Achim
---------------------------(end of broadcast)---------------------------
TIP 9: the planner will ignore your desire to choose an index scan if your
joining column's datatypes do not match
