Merhaba All Benim PostgreSQL veritabanı sorgum ve herkes yardımcı olabilir merak ile ilgili bir sorun var. Bazı senaryolarda benim sorgu iki tablo birleştirme için kullanılan oluşturduğum bu dizini görmezden görünüyor data
ve data_area
. Bu olduğunda sıralı bir tarama kullanır ve çok daha yavaş bir sorgu ile sonuçlanır.
Sıralı Tarama (~ 5 dakika)
Unique (cost=15368261.82..15369053.96 rows=200 width=1942) (actual time=301266.832..301346.936 rows=153812 loops=1)
CTE data
-> Bitmap Heap Scan on data (cost=6086.77..610089.54 rows=321976 width=297) (actual time=26.286..197.625 rows=335130 loops=1)
Recheck Cond: (datasetid = 1)
Filter: ((readingdatetime >= '1920-01-01 00:00:00'::timestamp without time zone) AND (readingdatetime <= '2013-03-11 00:00:00'::timestamp without time zone) AND (depth >= 0::double precision) AND (depth <= 99999::double precision))
-> Bitmap Index Scan on data_datasetid_index (cost=0.00..6006.27 rows=324789 width=0) (actual time=25.462..25.462 rows=335130 loops=1)
Index Cond: (datasetid = 1)
-> Sort (cost=15368261.82..15368657.89 rows=158427 width=1942) (actual time=301266.829..301287.110 rows=155194 loops=1)
Sort Key: data.id
Sort Method: quicksort Memory: 81999kB
-> Hash Left Join (cost=15174943.29..15354578.91 rows=158427 width=1942) (actual time=300068.588..301052.832 rows=155194 loops=1)
Hash Cond: (data_area.area_id = area.id)
-> Hash Join (cost=15174792.93..15351854.12 rows=158427 width=684) (actual time=300066.288..300971.644 rows=155194 loops=1)
Hash Cond: (data.id = data_area.data_id)
-> CTE Scan on data (cost=0.00..6439.52 rows=321976 width=676) (actual time=26.290..313.842 rows=335130 loops=1)
-> Hash (cost=14857017.62..14857017.62 rows=25422025 width=8) (actual time=300028.260..300028.260 rows=26709939 loops=1)
Buckets: 4194304 Batches: 1 Memory Usage: 1043357kB
-> Seq Scan on data_area (cost=0.00..14857017.62 rows=25422025 width=8) (actual time=182921.056..291687.996 rows=26709939 loops=1)
Filter: (area_id = ANY ('{28,29,30,31,32,33,25,26,27,18,19,20,21,12,13,14,15,16,17,34,35,1,2,3,4,5,6,22,23,24,7,8,9,10,11}'::integer[]))
-> Hash (cost=108.49..108.49 rows=3349 width=1258) (actual time=2.256..2.256 rows=3349 loops=1)
Buckets: 1024 Batches: 1 Memory Usage: 584kB
-> Seq Scan on area (cost=0.00..108.49 rows=3349 width=1258) (actual time=0.007..0.666 rows=3349 loops=1)
Total runtime: 301493.379 ms
Dizin Taraması (~ 3 saniye) ( expla.depesz.com sitesinde )
Unique (cost=17352256.47..17353067.50 rows=200 width=1942) (actual time=3603.303..3681.619 rows=153812 loops=1)
CTE data
-> Bitmap Heap Scan on data (cost=6284.60..619979.56 rows=332340 width=297) (actual time=26.201..262.314 rows=335130 loops=1)
Recheck Cond: (datasetid = 1)
Filter: ((readingdatetime >= '1920-01-01 00:00:00'::timestamp without time zone) AND (readingdatetime <= '2013-03-11 00:00:00'::timestamp without time zone) AND (depth >= 0::double precision) AND (depth <= 99999::double precision))
-> Bitmap Index Scan on data_datasetid_index (cost=0.00..6201.51 rows=335354 width=0) (actual time=25.381..25.381 rows=335130 loops=1)
Index Cond: (datasetid = 1)
-> Sort (cost=17352256.47..17352661.98 rows=162206 width=1942) (actual time=3603.302..3623.113 rows=155194 loops=1)
Sort Key: data.id
Sort Method: quicksort Memory: 81999kB
-> Hash Left Join (cost=1296.08..17338219.59 rows=162206 width=1942) (actual time=29.980..3375.921 rows=155194 loops=1)
Hash Cond: (data_area.area_id = area.id)
-> Nested Loop (cost=0.00..17334287.66 rows=162206 width=684) (actual time=26.903..3268.674 rows=155194 loops=1)
-> CTE Scan on data (cost=0.00..6646.80 rows=332340 width=676) (actual time=26.205..421.858 rows=335130 loops=1)
-> Index Scan using data_area_pkey on data_area (cost=0.00..52.13 rows=1 width=8) (actual time=0.006..0.008 rows=0 loops=335130)
Index Cond: (data_id = data.id)
Filter: (area_id = ANY ('{28,29,30,31,32,33,25,26,27,18,19,20,21,12,13,14,15,16,17,34,35,1,2,3,4,5,6,22,23,24,7,8,9,10,11}'::integer[]))
-> Hash (cost=1254.22..1254.22 rows=3349 width=1258) (actual time=3.057..3.057 rows=3349 loops=1)
Buckets: 1024 Batches: 1 Memory Usage: 584kB
-> Index Scan using area_primary_key on area (cost=0.00..1254.22 rows=3349 width=1258) (actual time=0.012..1.429 rows=3349 loops=1)
Total runtime: 3706.630 ms
Tablo Yapısı
Bu tablo için tablo yapısıdır data_area
. Gerekirse diğer tabloları sağlayabilir.
CREATE TABLE data_area
(
data_id integer NOT NULL,
area_id integer NOT NULL,
CONSTRAINT data_area_pkey PRIMARY KEY (data_id , area_id ),
CONSTRAINT data_area_area_id_fk FOREIGN KEY (area_id)
REFERENCES area (id) MATCH SIMPLE
ON UPDATE NO ACTION ON DELETE NO ACTION,
CONSTRAINT data_area_data_id_fk FOREIGN KEY (data_id)
REFERENCES data (id) MATCH SIMPLE
ON UPDATE CASCADE ON DELETE CASCADE
);
SORGU
WITH data AS (
SELECT *
FROM data
WHERE
datasetid IN (1)
AND (readingdatetime BETWEEN '1920-01-01' AND '2013-03-11')
AND depth BETWEEN 0 AND 99999
)
SELECT *
FROM (
SELECT DISTINCT ON (data.id) data.id, *
FROM
data,
data_area
LEFT JOIN area ON area_id = area.id
WHERE
data_id = data.id
AND area_id IN (28,29,30,31,32,33,25,26,27,18,19,20,21,12,13,14,15,16,17,34,35,1,2,3,4,5,6,22,23,24,7,8,9,10,11)
) as s;
153812
Satırları döndürür . set enable_seqscan= false;
Sıralı taramayı devre dışı bırakmak ve dizin sonucunu almak için yaptım .
Ben bir ANALYSE
veritabanı üzerinde çalıştım ve sorgu kullanılan sütunlarda toplanan istatistikleri artırmak, ama hiçbir şey yardımcı görünüyor.
Herkes bu yaymak ve ışık ya da denemek gerekir başka bir şey önerebilir?
FROM data, data_area
) karıştırmak için zorlayıcı bir neden var mı ? İlk bakışta, ORDER BY deyimi olmadan DISTINCT ON kullanmak kötü bir fikir gibi görünüyor.