It appears that in the predicate close (WHERE id IN (foo)), foo cannot depend on other table (join or other). It must be a list. I anderstand why (this must be static).
I can build a string value, but in some case, I will have a milion key list.
Postgresql do not have limitation in query size, and IN(...) keys number.
But creating a partial index, with a query of bilion character length is not an issue ? It looks like a little dirty, not ?
Thanks for all
Nicolas PARIS
2015-02-20 15:44 GMT+01:00 Matheus de Oliveira <matioli.matheus@xxxxxxxxx>:
On Fri, Feb 20, 2015 at 11:06 AM, Nicolas Paris <niparisco@xxxxxxxxx> wrote:Thanks,I like the idea of partial indexes mixed with simple ViewsSo question :huge_table{id,field}CREATE INDEX idx_huge_table ON huge_table(id)CREATE INDEX idx_huge_table_for_view1 ON huge_table(id) WHERE id IN (1,2,3)CREATE VIEW view1 AS SELECT * FROM huge_table WHERE id IN (1,2,3)Do the following query uses idx_huge_table_for_view1 ?SELECT * FROM view1WHERE field LIKE 'brillant idea'In other words, do all queries on view1 will use the partial index (and never the idx_hute_table ) ?You can try that pretty easily:
postgres=# CREATE TEMP TABLE huge_table(id int, field text);
CREATE TABLE
postgres=# CREATE INDEX huge_table_id_idx ON huge_table(id);
CREATE INDEX
postgres=# CREATE INDEX huge_table_id_partial_idx ON huge_table(id) WHERE id IN (1,2,3);
CREATE INDEX
postgres=# CREATE TEMP VIEW view1 AS SELECT * FROM huge_table WHERE id IN (1,2);
CREATE VIEW
postgres=# SET enable_seqscan TO off;
SET
postgres=# SET enable_bitmapscan To off;
SET
postgres=# EXPLAIN SELECT * FROM view1 WHERE field LIKE 'foo%';
QUERY PLAN
----------------------------------------------------------------------------------------------
Index Scan using huge_table_id_partial_idx on huge_table (cost=0.12..36.41 rows=1 width=36)
Index Cond: (id = ANY ('{1,2}'::integer[]))
Filter: (field ~~ 'foo%'::text)
(3 rows)I expect that to happen always, unless you have another index that matches better the filter from outside the view.Regards,
--Matheus de Oliveira
Analista de Banco de Dados
Dextra Sistemas - MPS.Br nível F!
www.dextra.com.br/postgres