pg.ddx.io pgsql-performance@postgresql.org mailing list archive help / color / mirror / Atom feed From: Bryce Nesbitt <bryce2@obviously.com>
To: pgsql-performance@postgresql.org
Cc: Robert Haas <robertmhaas@gmail.com>
Subject: Re: 512,600ms query becomes 7500ms... but why? Postgres 8.3 query planner quirk?
Date: Fri, 12 Feb 2010 23:58:12 -0800
Message-ID: <4B765B94.4000602@obviously.com> (raw )
In-Reply-To: <26772.1266005254@sss.pgh.pa.us >
References: <4B723042.7090406@obviously.com >
<4B751AD5020000250002F248@gw.wicourts.gov >
<4B757C59.8070500@denninger.net >
<4B752934020000250002F24E@gw.wicourts.gov >
<4B75851E.6070909@denninger.net >
<26772.1266005254@sss.pgh.pa.us >
preproduction-20091214=# EXPLAIN ANALYZE
SELECT contexts.context_key FROM contexts
JOIN articles ON (articles.context_key=contexts.context_key)
JOIN matview_82034 ON (contexts.context_key=matview_82034.context_key)
WHERE contexts.context_key IN
(SELECT context_key FROM article_words JOIN words using (word_key) WHERE word = 'insider'
INTERSECT
SELECT context_key FROM article_words JOIN words using (word_key) WHERE word = 'trading')
AND contexts.context_key IN
(SELECT a.context_key FROM virtual_ancestors a JOIN bp_categories ON (a.ancestor_key = bp_categories.context_key)
WHERE lower(bp_categories.category) = 'law') AND articles.indexed;
QUERY PLAN
-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Nested Loop (cost=12861.91..62150.21 rows=2 width=4) (actual time=136.789..200744.455 rows=546 loops=1)
-> Nested Loop IN Join (cost=12861.91..62148.32 rows=1 width=16) (actual time=136.777..200737.004 rows=546 loops=1)
Join Filter: (a.context_key = articles.context_key)
-> Nested Loop (cost=12861.91..12875.48 rows=2 width=12) (actual time=55.674..116.443 rows=1306 loops=1)
-> Nested Loop (cost=12861.91..12871.68 rows=2 width=8) (actual time=55.662..97.863 rows=1306 loops=1)
-> Subquery Scan "IN_subquery" (cost=12861.91..12862.18 rows=5 width=4) (actual time=55.639..75.777 rows=1473 loops=1)
-> SetOp Intersect (cost=12861.91..12862.14 rows=5 width=4) (actual time=55.638..73.724 rows=1473 loops=1)
-> Sort (cost=12861.91..12862.02 rows=46 width=4) (actual time=55.631..62.140 rows=17892 loops=1)
Sort Key: "*SELECT* 1".context_key
Sort Method: quicksort Memory: 1607kB
-> Append (cost=0.00..12860.63 rows=46 width=4) (actual time=0.040..42.026 rows=17892 loops=1)
-> Subquery Scan "*SELECT* 1" (cost=0.00..6430.32 rows=23 width=4) (actual time=0.039..6.909 rows=3583 loops=1)
-> Nested Loop (cost=0.00..6430.09 rows=23 width=4) (actual time=0.038..5.110 rows=3583 loops=1)
-> Index Scan using words_word on words (cost=0.00..2.22 rows=1 width=4) (actual time=0.019..0.020 rows=1 loops=1)
Index Cond: ((word)::text = 'insider'::text)
-> Index Scan using article_words_wc on article_words (cost=0.00..6323.81 rows=8325 width=8) (actual time=0.015..3.243 rows=3583 loops=1)
Index Cond: (public.article_words.word_key = public.words.word_key)
-> Subquery Scan "*SELECT* 2" (cost=0.00..6430.32 rows=23 width=4) (actual time=0.036..27.166 rows=14309 loops=1)
-> Nested Loop (cost=0.00..6430.09 rows=23 width=4) (actual time=0.035..20.037 rows=14309 loops=1)
-> Index Scan using words_word on words (cost=0.00..2.22 rows=1 width=4) (actual time=0.014..0.015 rows=1 loops=1)
Index Cond: ((word)::text = 'trading'::text)
-> Index Scan using article_words_wc on article_words (cost=0.00..6323.81 rows=8325 width=8) (actual time=0.017..12.618 rows=14309 loops=1)
Index Cond: (public.article_words.word_key = public.words.word_key)
-> Index Scan using article_key_idx on articles (cost=0.00..1.89 rows=1 width=4) (actual time=0.011..0.012 rows=1 loops=1473)
Index Cond: (articles.context_key = "IN_subquery".context_key)
Filter: articles.indexed
-> Index Scan using contexts_pkey on contexts (cost=0.00..1.89 rows=1 width=4) (actual time=0.010..0.011 rows=1 loops=1306)
Index Cond: (contexts.context_key = articles.context_key)
-> Nested Loop (cost=0.00..59848.83 rows=1124834 width=4) (actual time=0.012..142.436 rows=39193 loops=1306)
-> Seq Scan on bp_categories (cost=0.00..1231.49 rows=16669 width=4) (actual time=0.006..19.730 rows=14552 loops=1306)
Filter: (lower(category) = 'law'::text)
-> Index Scan using virtual_ancestor_key_idx on virtual_ancestors a (cost=0.00..2.57 rows=76 width=8) (actual time=0.004..0.006 rows=3 loops=19004304)
Index Cond: (a.ancestor_key = bp_categories.context_key)
-> Index Scan using matview_82034_ck on matview_82034 (cost=0.00..1.88 rows=1 width=4) (actual time=0.010..0.011 rows=1 loops=546)
Index Cond: (matview_82034.context_key = articles.context_key)
Total runtime: 200745.372 ms
(36 rows)
preproduction-20091214=# ALTER TABLE article_words ALTER COLUMN word_key SET STATISTICS 1000;
ALTER TABLE
preproduction-20091214=# ANALYZE VERBOSE article_words;
INFO: analyzing "public.article_words"
INFO: "article_words": scanned 300000 of 1342374 pages, containing 64534899 live rows and 3264839 dead rows; 300000 rows in sample, 288766568 estimated total rows
ANALYZE
preproduction-20091214=# EXPLAIN ANALYZE
SELECT contexts.context_key FROM contexts
JOIN articles ON (articles.context_key=contexts.context_key)
JOIN matview_82034 ON (contexts.context_key=matview_82034.context_key)
WHERE contexts.context_key IN
(SELECT context_key FROM article_words JOIN words using (word_key) WHERE word = 'insider'
INTERSECT
SELECT context_key FROM article_words JOIN words using (word_key) WHERE word = 'trading')
AND contexts.context_key IN
(SELECT a.context_key FROM virtual_ancestors a JOIN bp_categories ON (a.ancestor_key = bp_categories.context_key)
WHERE lower(bp_categories.category) = 'law') AND articles.indexed;
QUERY PLAN
-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Nested Loop (cost=5120.81..54409.11 rows=2 width=4) (actual time=136.666..200590.858 rows=546 loops=1)
-> Nested Loop IN Join (cost=5120.81..54407.22 rows=1 width=16) (actual time=136.654..200583.588 rows=546 loops=1)
Join Filter: (a.context_key = articles.context_key)
-> Nested Loop (cost=5120.81..5134.38 rows=2 width=12) (actual time=55.577..116.349 rows=1306 loops=1)
-> Nested Loop (cost=5120.81..5130.58 rows=2 width=8) (actual time=55.563..97.425 rows=1306 loops=1)
-> Subquery Scan "IN_subquery" (cost=5120.81..5121.08 rows=5 width=4) (actual time=55.500..75.615 rows=1473 loops=1)
-> SetOp Intersect (cost=5120.81..5121.04 rows=5 width=4) (actual time=55.499..73.464 rows=1473 loops=1)
-> Sort (cost=5120.81..5120.92 rows=46 width=4) (actual time=55.491..62.078 rows=17892 loops=1)
Sort Key: "*SELECT* 1".context_key
Sort Method: quicksort Memory: 1607kB
-> Append (cost=0.00..5119.54 rows=46 width=4) (actual time=0.041..42.203 rows=17892 loops=1)
-> Subquery Scan "*SELECT* 1" (cost=0.00..2559.77 rows=23 width=4) (actual time=0.040..7.040 rows=3583 loops=1)
-> Nested Loop (cost=0.00..2559.54 rows=23 width=4) (actual time=0.039..5.188 rows=3583 loops=1)
-> Index Scan using words_word on words (cost=0.00..2.22 rows=1 width=4) (actual time=0.018..0.019 rows=1 loops=1)
Index Cond: ((word)::text = 'insider'::text)
-> Index Scan using article_words_wc on article_words (cost=0.00..2516.17 rows=3292 width=8) (actual time=0.017..3.299 rows=3583 loops=1)
Index Cond: (public.article_words.word_key = public.words.word_key)
-> Subquery Scan "*SELECT* 2" (cost=0.00..2559.77 rows=23 width=4) (actual time=0.036..27.282 rows=14309 loops=1)
-> Nested Loop (cost=0.00..2559.54 rows=23 width=4) (actual time=0.035..19.972 rows=14309 loops=1)
-> Index Scan using words_word on words (cost=0.00..2.22 rows=1 width=4) (actual time=0.014..0.016 rows=1 loops=1)
Index Cond: ((word)::text = 'trading'::text)
-> Index Scan using article_words_wc on article_words (cost=0.00..2516.17 rows=3292 width=8) (actual time=0.018..12.545 rows=14309 loops=1)
Index Cond: (public.article_words.word_key = public.words.word_key)
-> Index Scan using article_key_idx on articles (cost=0.00..1.89 rows=1 width=4) (actual time=0.011..0.012 rows=1 loops=1473)
Index Cond: (articles.context_key = "IN_subquery".context_key)
Filter: articles.indexed
-> Index Scan using contexts_pkey on contexts (cost=0.00..1.89 rows=1 width=4) (actual time=0.009..0.011 rows=1 loops=1306)
Index Cond: (contexts.context_key = articles.context_key)
-> Nested Loop (cost=0.00..59848.83 rows=1124834 width=4) (actual time=0.012..142.295 rows=39193 loops=1306)
-> Seq Scan on bp_categories (cost=0.00..1231.49 rows=16669 width=4) (actual time=0.006..19.743 rows=14552 loops=1306)
Filter: (lower(category) = 'law'::text)
-> Index Scan using virtual_ancestor_key_idx on virtual_ancestors a (cost=0.00..2.57 rows=76 width=8) (actual time=0.004..0.006 rows=3 loops=19004304)
Index Cond: (a.ancestor_key = bp_categories.context_key)
-> Index Scan using matview_82034_ck on matview_82034 (cost=0.00..1.88 rows=1 width=4) (actual time=0.010..0.010 rows=1 loops=546)
Index Cond: (matview_82034.context_key = articles.context_key)
Total runtime: 200591.751 ms
(36 rows)
Attachments:
Stats_Target.txt (text/plain, 11.0K) download
preproduction-20091214=# EXPLAIN ANALYZE
SELECT contexts.context_key FROM contexts
JOIN articles ON (articles.context_key=contexts.context_key)
JOIN matview_82034 ON (contexts.context_key=matview_82034.context_key)
WHERE contexts.context_key IN
(SELECT context_key FROM article_words JOIN words using (word_key) WHERE word = 'insider'
INTERSECT
SELECT context_key FROM article_words JOIN words using (word_key) WHERE word = 'trading')
AND contexts.context_key IN
(SELECT a.context_key FROM virtual_ancestors a JOIN bp_categories ON (a.ancestor_key = bp_categories.context_key)
WHERE lower(bp_categories.category) = 'law') AND articles.indexed;
QUERY PLAN
-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Nested Loop (cost=12861.91..62150.21 rows=2 width=4) (actual time=136.789..200744.455 rows=546 loops=1)
-> Nested Loop IN Join (cost=12861.91..62148.32 rows=1 width=16) (actual time=136.777..200737.004 rows=546 loops=1)
Join Filter: (a.context_key = articles.context_key)
-> Nested Loop (cost=12861.91..12875.48 rows=2 width=12) (actual time=55.674..116.443 rows=1306 loops=1)
-> Nested Loop (cost=12861.91..12871.68 rows=2 width=8) (actual time=55.662..97.863 rows=1306 loops=1)
-> Subquery Scan "IN_subquery" (cost=12861.91..12862.18 rows=5 width=4) (actual time=55.639..75.777 rows=1473 loops=1)
-> SetOp Intersect (cost=12861.91..12862.14 rows=5 width=4) (actual time=55.638..73.724 rows=1473 loops=1)
-> Sort (cost=12861.91..12862.02 rows=46 width=4) (actual time=55.631..62.140 rows=17892 loops=1)
Sort Key: "*SELECT* 1".context_key
Sort Method: quicksort Memory: 1607kB
-> Append (cost=0.00..12860.63 rows=46 width=4) (actual time=0.040..42.026 rows=17892 loops=1)
-> Subquery Scan "*SELECT* 1" (cost=0.00..6430.32 rows=23 width=4) (actual time=0.039..6.909 rows=3583 loops=1)
-> Nested Loop (cost=0.00..6430.09 rows=23 width=4) (actual time=0.038..5.110 rows=3583 loops=1)
-> Index Scan using words_word on words (cost=0.00..2.22 rows=1 width=4) (actual time=0.019..0.020 rows=1 loops=1)
Index Cond: ((word)::text = 'insider'::text)
-> Index Scan using article_words_wc on article_words (cost=0.00..6323.81 rows=8325 width=8) (actual time=0.015..3.243 rows=3583 loops=1)
Index Cond: (public.article_words.word_key = public.words.word_key)
-> Subquery Scan "*SELECT* 2" (cost=0.00..6430.32 rows=23 width=4) (actual time=0.036..27.166 rows=14309 loops=1)
-> Nested Loop (cost=0.00..6430.09 rows=23 width=4) (actual time=0.035..20.037 rows=14309 loops=1)
-> Index Scan using words_word on words (cost=0.00..2.22 rows=1 width=4) (actual time=0.014..0.015 rows=1 loops=1)
Index Cond: ((word)::text = 'trading'::text)
-> Index Scan using article_words_wc on article_words (cost=0.00..6323.81 rows=8325 width=8) (actual time=0.017..12.618 rows=14309 loops=1)
Index Cond: (public.article_words.word_key = public.words.word_key)
-> Index Scan using article_key_idx on articles (cost=0.00..1.89 rows=1 width=4) (actual time=0.011..0.012 rows=1 loops=1473)
Index Cond: (articles.context_key = "IN_subquery".context_key)
Filter: articles.indexed
-> Index Scan using contexts_pkey on contexts (cost=0.00..1.89 rows=1 width=4) (actual time=0.010..0.011 rows=1 loops=1306)
Index Cond: (contexts.context_key = articles.context_key)
-> Nested Loop (cost=0.00..59848.83 rows=1124834 width=4) (actual time=0.012..142.436 rows=39193 loops=1306)
-> Seq Scan on bp_categories (cost=0.00..1231.49 rows=16669 width=4) (actual time=0.006..19.730 rows=14552 loops=1306)
Filter: (lower(category) = 'law'::text)
-> Index Scan using virtual_ancestor_key_idx on virtual_ancestors a (cost=0.00..2.57 rows=76 width=8) (actual time=0.004..0.006 rows=3 loops=19004304)
Index Cond: (a.ancestor_key = bp_categories.context_key)
-> Index Scan using matview_82034_ck on matview_82034 (cost=0.00..1.88 rows=1 width=4) (actual time=0.010..0.011 rows=1 loops=546)
Index Cond: (matview_82034.context_key = articles.context_key)
Total runtime: 200745.372 ms
(36 rows)
preproduction-20091214=# ALTER TABLE article_words ALTER COLUMN word_key SET STATISTICS 1000;
ALTER TABLE
preproduction-20091214=# ANALYZE VERBOSE article_words;
INFO: analyzing "public.article_words"
INFO: "article_words": scanned 300000 of 1342374 pages, containing 64534899 live rows and 3264839 dead rows; 300000 rows in sample, 288766568 estimated total rows
ANALYZE
preproduction-20091214=# EXPLAIN ANALYZE
SELECT contexts.context_key FROM contexts
JOIN articles ON (articles.context_key=contexts.context_key)
JOIN matview_82034 ON (contexts.context_key=matview_82034.context_key)
WHERE contexts.context_key IN
(SELECT context_key FROM article_words JOIN words using (word_key) WHERE word = 'insider'
INTERSECT
SELECT context_key FROM article_words JOIN words using (word_key) WHERE word = 'trading')
AND contexts.context_key IN
(SELECT a.context_key FROM virtual_ancestors a JOIN bp_categories ON (a.ancestor_key = bp_categories.context_key)
WHERE lower(bp_categories.category) = 'law') AND articles.indexed;
QUERY PLAN
-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Nested Loop (cost=5120.81..54409.11 rows=2 width=4) (actual time=136.666..200590.858 rows=546 loops=1)
-> Nested Loop IN Join (cost=5120.81..54407.22 rows=1 width=16) (actual time=136.654..200583.588 rows=546 loops=1)
Join Filter: (a.context_key = articles.context_key)
-> Nested Loop (cost=5120.81..5134.38 rows=2 width=12) (actual time=55.577..116.349 rows=1306 loops=1)
-> Nested Loop (cost=5120.81..5130.58 rows=2 width=8) (actual time=55.563..97.425 rows=1306 loops=1)
-> Subquery Scan "IN_subquery" (cost=5120.81..5121.08 rows=5 width=4) (actual time=55.500..75.615 rows=1473 loops=1)
-> SetOp Intersect (cost=5120.81..5121.04 rows=5 width=4) (actual time=55.499..73.464 rows=1473 loops=1)
-> Sort (cost=5120.81..5120.92 rows=46 width=4) (actual time=55.491..62.078 rows=17892 loops=1)
Sort Key: "*SELECT* 1".context_key
Sort Method: quicksort Memory: 1607kB
-> Append (cost=0.00..5119.54 rows=46 width=4) (actual time=0.041..42.203 rows=17892 loops=1)
-> Subquery Scan "*SELECT* 1" (cost=0.00..2559.77 rows=23 width=4) (actual time=0.040..7.040 rows=3583 loops=1)
-> Nested Loop (cost=0.00..2559.54 rows=23 width=4) (actual time=0.039..5.188 rows=3583 loops=1)
-> Index Scan using words_word on words (cost=0.00..2.22 rows=1 width=4) (actual time=0.018..0.019 rows=1 loops=1)
Index Cond: ((word)::text = 'insider'::text)
-> Index Scan using article_words_wc on article_words (cost=0.00..2516.17 rows=3292 width=8) (actual time=0.017..3.299 rows=3583 loops=1)
Index Cond: (public.article_words.word_key = public.words.word_key)
-> Subquery Scan "*SELECT* 2" (cost=0.00..2559.77 rows=23 width=4) (actual time=0.036..27.282 rows=14309 loops=1)
-> Nested Loop (cost=0.00..2559.54 rows=23 width=4) (actual time=0.035..19.972 rows=14309 loops=1)
-> Index Scan using words_word on words (cost=0.00..2.22 rows=1 width=4) (actual time=0.014..0.016 rows=1 loops=1)
Index Cond: ((word)::text = 'trading'::text)
-> Index Scan using article_words_wc on article_words (cost=0.00..2516.17 rows=3292 width=8) (actual time=0.018..12.545 rows=14309 loops=1)
Index Cond: (public.article_words.word_key = public.words.word_key)
-> Index Scan using article_key_idx on articles (cost=0.00..1.89 rows=1 width=4) (actual time=0.011..0.012 rows=1 loops=1473)
Index Cond: (articles.context_key = "IN_subquery".context_key)
Filter: articles.indexed
-> Index Scan using contexts_pkey on contexts (cost=0.00..1.89 rows=1 width=4) (actual time=0.009..0.011 rows=1 loops=1306)
Index Cond: (contexts.context_key = articles.context_key)
-> Nested Loop (cost=0.00..59848.83 rows=1124834 width=4) (actual time=0.012..142.295 rows=39193 loops=1306)
-> Seq Scan on bp_categories (cost=0.00..1231.49 rows=16669 width=4) (actual time=0.006..19.743 rows=14552 loops=1306)
Filter: (lower(category) = 'law'::text)
-> Index Scan using virtual_ancestor_key_idx on virtual_ancestors a (cost=0.00..2.57 rows=76 width=8) (actual time=0.004..0.006 rows=3 loops=19004304)
Index Cond: (a.ancestor_key = bp_categories.context_key)
-> Index Scan using matview_82034_ck on matview_82034 (cost=0.00..1.88 rows=1 width=4) (actual time=0.010..0.010 rows=1 loops=546)
Index Cond: (matview_82034.context_key = articles.context_key)
Total runtime: 200591.751 ms
(36 rows)
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To: pgsql-performance@postgresql.org
Cc: bryce2@obviously.com, robertmhaas@gmail.com
Subject: Re: 512,600ms query becomes 7500ms... but why? Postgres 8.3 query planner quirk?
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