I have a table with ~5 million rows containing ranges of large (8-digit) 
numbers. The table has an int4 field for the range start and the range end, 
and a field which is null if that particular range is expired, and has a 
value otherwise. 

I need to query this table to find a range containing a particular number, 
e.g. a query might look like this:

SELECT * FROM table_name WHERE range_start <= 87654321 AND range_end >= 
87654321 AND expired IS NULL

My problem is that when I run a query like the above, the query planner does a 
sequential scan, even though i have an index on both the query columns 
separately, as well as an index containing both columns. The indexes are 
defined like this:

CREATE INDEX range_start_end_index ON table_name USING btree (range_start, 
range_end) WHERE expired IS NULL
CREATE INDEX range_start_index ON table_name USING btree (range_start) WHERE 
expired IS NULL
CREATE INDEX range_end_index ON table_name USING btree (range_end) WHERE 
expired IS NULL

When I do a query for smaller numbers (7-digit and below, as far as I can 
see), the query planner uses the index(es) and the query is instantaneous. 
However, when I run a query like the above, the planner decides to do a 
sequential scan of the entire table.

I realize this probably has something to do with the planner only searching 
for the first part of the WHERE clause (i.e. range_start <= 87654321) and 
deciding that this will probably yield so many rows that a sequential scan 
will yield results that are just as good. However, the data is structured in 
such a way that multiple ranges containing the same number (and which are not 
expired) do not exist. So in reality there will be either 1 or 0 results for 
a query like the above.

How do I make the query planner realize that using the index is a Good 
Thing(tm)?

Any help will be greatly appreciated.

Regards,
-Toke

---------------------------(end of broadcast)---------------------------
TIP 9: In versions below 8.0, the planner will ignore your desire to
       choose an index scan if your joining column's datatypes do not
       match

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