Here is EXPLAIN ANALYZE:
"Limit (cost=136568.00..136568.25 rows=100 width=185) (actual
time=1952.174..1952.215 rows=100 loops=1)"
" -> Sort (cost=136568.00..137152.26 rows=233703 width=185) (actual
time=1952.172..1952.188 rows=100 loops=1)"
" Sort Key: ((ts_rank(pc.textvector, to_tsquery('fotbal'::text)) +
(ts_rank(pa.titlevector, to_tsquery('fotbal'::text)) * 10::double
precision)))"
" Sort Method: top-N heapsort Memory: 23kB"
" -> Hash Join (cost=61707.99..127636.04 rows=233703 width=185)
(actual time=1046.838..1947.815 rows=3278 loops=1)"
" Hash Cond: (re.rev_id = pc.old_id)"
" -> Merge Join (cost=24098.90..71107.48 rows=233703
width=66) (actual time=200.884..859.453 rows=3278 loops=1)"
" Merge Cond: (pa.page_id = re.rev_page)"
" -> Merge Semi Join (cost=24096.98..55665.69
rows=233703 width=66) (actual time=200.843..629.821 rows=3278 loops=1)"
" Merge Cond: (pa.page_id =
mediawiki.page.page_id)"
" -> Index Scan using page_btree_id on page pa
(cost=0.00..13155.20 rows=311604 width=62) (actual time=0.027..145.989
rows=311175 loops=1)"
" -> Index Scan using page_btree_id on page
(cost=24096.98..38810.19 rows=233703 width=4) (actual time=200.779..429.219
rows=3278 loops=1)"
" Filter: ((hashed SubPlan 1) OR (hashed
SubPlan 2))"
" SubPlan 1"
" -> Bitmap Heap Scan on page
(cost=10.41..900.33 rows=270 width=4) (actual time=0.748..9.845 rows=280
loops=1)"
" Recheck Cond: (titlevector @@
to_tsquery('fotbal'::text))"
" -> Bitmap Index Scan on gin_index
(cost=0.00..10.34 rows=270 width=0) (actual time=0.586..0.586 rows=280
loops=1)"
" Index Cond: (titlevector @@
to_tsquery('fotbal'::text))"
" SubPlan 2"
" -> Nested Loop (cost=1499.29..23192.08
rows=1558 width=4) (actual time=2.032..185.743 rows=3250 loops=1)"
" -> Nested Loop
(cost=1499.29..15967.11 rows=1558 width=4) (actual time=1.980..109.491
rows=3250 loops=1)"
" -> Bitmap Heap Scan on
pagecontent (cost=1499.29..6448.12 rows=1558 width=4) (actual
time=1.901..36.583 rows=3250 loops=1)"
" Recheck Cond:
(textvector @@ to_tsquery('fotbal'::text))"
" -> Bitmap Index Scan
on gin_index2 (cost=0.00..1498.90 rows=1558 width=0) (actual
time=1.405..1.405 rows=3250 loops=1)"
" Index Cond:
(textvector @@ to_tsquery('fotbal'::text))"
" -> Index Scan using
page_btree_rev_content_id on revision r (cost=0.00..6.10 rows=1 width=8)
(actual time=0.020..0.021 rows=1 loops=3250)"
" Index Cond: (r.rev_id =
pagecontent.old_id)"
" -> Index Scan using page_btree_id
on page p (cost=0.00..4.62 rows=1 width=4) (actual time=0.022..0.022 rows=1
loops=3250)"
" Index Cond: (p.page_id =
r.rev_page)"
" -> Index Scan using page_btree_rev_page_id on revision
re (cost=0.00..11850.52 rows=311604 width=8) (actual time=0.012..166.042
rows=311175 loops=1)"
" -> Hash (cost=27932.04..27932.04 rows=311604 width=127)
(actual time=801.000..801.000 rows=311604 loops=1)"
" Buckets: 1024 Batches: 64 Memory Usage: 744kB"
" -> Seq Scan on pagecontent pc (cost=0.00..27932.04
rows=311604 width=127) (actual time=0.018..465.686 rows=311604 loops=1)"
"Total runtime: 1952.962 ms"
I have tried
set enable_hashjoin = false;
<query>
set enable_hashjoin = true;
but the result have been worst than before. By the way is there a posibility
to create beeter query with same effect?
I have tried more queries, but this has got best performance yet.
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