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Tengo una consulta en postgresql, cuando hago la fecha ENTRE '2012-01-01' Y '2012-01- 04' es más lento a pesar de que ha establecido un récord más pequeño que si lo hago ENTRE '2012-01-01' Y '2012-04-17'Consulta de PostgreSQL con un intervalo de fechas más pequeño (conjunto de resultados) más lento que uno con un intervalo de fechas más grande (resultado)
¿Puede decirme qué es esto?
Aquí es lento para la consulta:
"HashAggregate (cost=9388.82..9388.88 rows=1 width=311) (actual time=187787.183..187788.001 rows=153 loops=1)"
" -> Nested Loop (cost=9266.68..9388.77 rows=1 width=311) (actual time=8432.315..187785.091 rows=153 loops=1)"
" Join Filter: ((oh.ord_id = ord_line.ord_id) AND (iis.item_id = ord_line.item_id))"
" -> Nested Loop Left Join (cost=9266.68..9373.81 rows=1 width=333) (actual time=92.238..147161.052 rows=5847933 loops=1)"
" Join Filter: ((oh.division)::text = (item_color_cd.division)::text)"
" -> Nested Loop Left Join (cost=9266.68..9373.53 rows=1 width=322) (actual time=92.214..113058.202 rows=5847933 loops=1)"
" Join Filter: ((oh.division)::text = (item_size_cd.division)::text)"
" -> Nested Loop Left Join (cost=9266.68..9373.24 rows=1 width=312) (actual time=92.189..77932.977 rows=5847933 loops=1)"
" Join Filter: ((oh.division)::text = (item_class_cd.division)::text)"
" -> Nested Loop (cost=9266.68..9372.92 rows=1 width=294) (actual time=92.183..61183.081 rows=5847933 loops=1)"
" -> Nested Loop (cost=67.45..91.07 rows=1 width=75) (actual time=0.819..58.193 rows=8463 loops=1)"
" -> Nested Loop (cost=67.45..75.24 rows=1 width=51) (actual time=0.784..3.894 rows=360 loops=1)"
" -> Index Scan using item_dept_cd_division_key on item_dept_cd (cost=0.00..5.27 rows=1 width=27) (actual time=0.045..0.047 rows=1 loops=1)"
" Index Cond: (((division)::text = 'BSM'::text) AND ((dept_cd)::text = 'S'::text))"
" Filter: ((dept_cd)::text ~~ 'S'::text)"
" -> Bitmap Heap Scan on item_item_num iin (cost=67.45..69.96 rows=1 width=32) (actual time=0.734..3.315 rows=360 loops=1)"
" Recheck Cond: ((iin.dept_cd_id = item_dept_cd.dept_cd_id) AND ((iin.division)::text = 'BSM'::text))"
" -> BitmapAnd (cost=67.45..67.45 rows=1 width=0) (actual time=0.687..0.687 rows=0 loops=1)"
" -> Bitmap Index Scan on item_item_num_dept_id (cost=0.00..6.92 rows=213 width=0) (actual time=0.109..0.109 rows=364 loops=1)"
" Index Cond: (iin.dept_cd_id = item_dept_cd.dept_cd_id)"
" -> Bitmap Index Scan on item_item_num_division_key (cost=0.00..59.64 rows=2573 width=0) (actual time=0.544..0.544 rows=2753 loops=1)"
" Index Cond: ((iin.division)::text = 'BSM'::text)"
" -> Index Scan using item_sku_item_num_id_key on item_sku iis (cost=0.00..15.82 rows=1 width=32) (actual time=0.021..0.104 rows=24 loops=360)"
" Index Cond: (iis.item_num_id = iin.item_num_id)"
" Filter: ((iis.division)::text = 'BSM'::text)"
" -> HashAggregate (cost=9199.23..9281.69 rows=8 width=66) (actual time=0.020..6.298 rows=691 loops=8463)"
" -> Nested Loop (cost=0.01..9198.91 rows=8 width=66) (actual time=1.111..89.484 rows=691 loops=1)"
" -> Index Scan using ledger_demand_ix4 on ledger_demand ls (cost=0.01..4512.71 rows=710 width=35) (actual time=1.078..79.178 rows=691 loops=1)"
" Index Cond: ((date(trans_date) >= '2012-01-01'::date) AND (date(trans_date) <= '2012-01-04'::date))"
" Filter: (((division)::text = 'BSM'::text) AND (((qty_ordered > 0) AND ((ledger_code)::text ~~ 'D%'::text)) OR ((ledger_code)::text ~~ 'DC%'::text)))"
" -> Index Scan using ord_header_pkey on ord_header oh (cost=0.00..6.59 rows=1 width=39) (actual time=0.010..0.011 rows=1 loops=691)"
" Index Cond: (oh.ord_id = ls.ord_id)"
" Filter: ((oh.division)::text = 'BSM'::text)"
" SubPlan 1"
" -> Aggregate (cost=10.25..10.26 rows=1 width=8) (actual time=0.005..0.006 rows=1 loops=5847933)"
" -> Index Scan using ledger_discount_ord_line_id on ledger_discount (cost=0.00..10.25 rows=1 width=8) (actual time=0.003..0.004 rows=0 loops=5847933)"
" Index Cond: (ord_line_id = $2)"
" Filter: (((ledger_code)::text ~~ 'D%'::text) AND ((division)::text = ($0)::text) AND (ord_id = $1) AND (date(trans_date) = date($3)))"
" -> Index Scan using item_class_cd_pkey on item_class_cd (cost=0.00..0.30 rows=1 width=31) (actual time=0.001..0.001 rows=0 loops=5847933)"
" Index Cond: (iin.class_cd_id = item_class_cd.class_cd_id)"
" Filter: ((item_class_cd.division)::text = 'BSM'::text)"
" -> Index Scan using item_size_cd_pkey on item_size_cd (cost=0.00..0.27 rows=1 width=25) (actual time=0.002..0.003 rows=1 loops=5847933)"
" Index Cond: (iis.size_cd_id = item_size_cd.size_cd_id)"
" Filter: ((item_size_cd.division)::text = 'BSM'::text)"
" -> Index Scan using item_color_cd_pkey on item_color_cd (cost=0.00..0.27 rows=1 width=25) (actual time=0.002..0.003 rows=1 loops=5847933)"
" Index Cond: (iis.color_cd_id = item_color_cd.color_cd_id)"
" Filter: ((item_color_cd.division)::text = 'BSM'::text)"
" -> Index Scan using ord_line_pkey on ord_line (cost=0.00..14.94 rows=1 width=16) (actual time=0.004..0.005 rows=1 loops=5847933)"
" Index Cond: (ord_line.ord_line_id = ls.ord_line_id)"
" Filter: ((ord_line.division)::text = 'BSM'::text)"
"Total runtime: 187788.419 ms"
Y para la consulta rápida:
"HashAggregate (cost=395482.02..395482.08 rows=1 width=311) (actual time=3176.868..3204.741 rows=4900 loops=1)"
" -> Nested Loop Left Join (cost=391021.12..395481.97 rows=1 width=311) (actual time=2074.121..3151.576 rows=5118 loops=1)"
" Join Filter: ((oh.division)::text = (item_color_cd.division)::text)"
" -> Nested Loop Left Join (cost=391021.12..395481.69 rows=1 width=314) (actual time=2074.086..3113.537 rows=5118 loops=1)"
" Join Filter: ((oh.division)::text = (item_size_cd.division)::text)"
" -> Nested Loop Left Join (cost=391021.12..395481.40 rows=1 width=304) (actual time=2074.067..3077.820 rows=5118 loops=1)"
" Join Filter: ((oh.division)::text = (item_class_cd.division)::text)"
" -> Hash Join (cost=391021.12..395481.11 rows=1 width=286) (actual time=2074.062..3061.180 rows=5118 loops=1)"
" Hash Cond: ((oh.ord_id = ord_line.ord_id) AND (ls.ord_line_id = ord_line.ord_line_id))"
" -> HashAggregate (cost=390858.20..395310.62 rows=432 width=66) (actual time=1089.300..1596.212 rows=38947 loops=1)"
" -> Nested Loop (cost=92108.27..390840.92 rows=432 width=66) (actual time=603.101..1004.552 rows=38947 loops=1)"
" -> Bitmap Heap Scan on ledger_demand ls (cost=92108.27..174982.73 rows=36833 width=35) (actual time=603.076..708.321 rows=38947 loops=1)"
" Recheck Cond: (((division)::text = 'BSM'::text) AND (date(trans_date) >= '2012-01-01'::date) AND (date(trans_date) <= '2012-04-17'::date))"
" Filter: (((qty_ordered > 0) AND ((ledger_code)::text ~~ 'D%'::text)) OR ((ledger_code)::text ~~ 'DC%'::text))"
" -> BitmapAnd (cost=92108.27..92108.27 rows=37705 width=0) (actual time=600.722..600.722 rows=0 loops=1)"
" -> Bitmap Index Scan on ledger_demand_ix2 (cost=0.00..12712.18 rows=559935 width=0) (actual time=91.763..91.763 rows=572985 loops=1)"
" Index Cond: ((division)::text = 'BSM'::text)"
" -> Bitmap Index Scan on ledger_demand_ix4 (cost=0.00..79377.42 rows=4397941 width=0) (actual time=483.385..483.385 rows=4444914 loops=1)"
" Index Cond: ((date(trans_date) >= '2012-01-01'::date) AND (date(trans_date) <= '2012-04-17'::date))"
" -> Index Scan using ord_header_pkey on ord_header oh (cost=0.00..5.85 rows=1 width=39) (actual time=0.004..0.005 rows=1 loops=38947)"
" Index Cond: (oh.ord_id = ls.ord_id)"
" Filter: ((oh.division)::text = 'BSM'::text)"
" SubPlan 1"
" -> Aggregate (cost=10.25..10.26 rows=1 width=8) (actual time=0.009..0.009 rows=1 loops=38947)"
" -> Index Scan using ledger_discount_ord_line_id on ledger_discount (cost=0.00..10.25 rows=1 width=8) (actual time=0.007..0.007 rows=0 loops=38947)"
" Index Cond: (ord_line_id = $2)"
" Filter: (((ledger_code)::text ~~ 'D%'::text) AND ((division)::text = ($0)::text) AND (ord_id = $1) AND (date(trans_date) = date($3)))"
" -> Hash (cost=162.91..162.91 rows=1 width=83) (actual time=984.452..984.452 rows=112897 loops=1)"
" -> Nested Loop (cost=67.45..162.91 rows=1 width=83) (actual time=0.736..852.432 rows=112897 loops=1)"
" -> Nested Loop (cost=67.45..91.07 rows=1 width=75) (actual time=0.705..45.978 rows=8463 loops=1)"
" -> Nested Loop (cost=67.45..75.24 rows=1 width=51) (actual time=0.675..4.358 rows=360 loops=1)"
" -> Index Scan using item_dept_cd_division_key on item_dept_cd (cost=0.00..5.27 rows=1 width=27) (actual time=0.030..0.032 rows=1 loops=1)"
" Index Cond: (((division)::text = 'BSM'::text) AND ((dept_cd)::text = 'S'::text))"
" Filter: ((dept_cd)::text ~~ 'S'::text)"
" -> Bitmap Heap Scan on item_item_num iin (cost=67.45..69.96 rows=1 width=32) (actual time=0.641..3.818 rows=360 loops=1)"
" Recheck Cond: ((iin.dept_cd_id = item_dept_cd.dept_cd_id) AND ((iin.division)::text = 'BSM'::text))"
" -> BitmapAnd (cost=67.45..67.45 rows=1 width=0) (actual time=0.598..0.598 rows=0 loops=1)"
" -> Bitmap Index Scan on item_item_num_dept_id (cost=0.00..6.92 rows=213 width=0) (actual time=0.089..0.089 rows=364 loops=1)"
" Index Cond: (iin.dept_cd_id = item_dept_cd.dept_cd_id)"
" -> Bitmap Index Scan on item_item_num_division_key (cost=0.00..59.64 rows=2573 width=0) (actual time=0.479..0.479 rows=2753 loops=1)"
" Index Cond: ((iin.division)::text = 'BSM'::text)"
" -> Index Scan using item_sku_item_num_id_key on item_sku iis (cost=0.00..15.82 rows=1 width=32) (actual time=0.015..0.074 rows=24 loops=360)"
" Index Cond: (iis.item_num_id = iin.item_num_id)"
" Filter: ((iis.division)::text = 'BSM'::text)"
" -> Index Scan using ord_line_item_id_idx on ord_line (cost=0.00..71.79 rows=3 width=16) (actual time=0.009..0.072 rows=13 loops=8463)"
" Index Cond: (ord_line.item_id = iis.item_id)"
" Filter: ((ord_line.division)::text = 'BSM'::text)"
" -> Index Scan using item_class_cd_pkey on item_class_cd (cost=0.00..0.27 rows=1 width=31) (actual time=0.001..0.001 rows=0 loops=5118)"
" Index Cond: (iin.class_cd_id = item_class_cd.class_cd_id)"
" Filter: ((item_class_cd.division)::text = 'BSM'::text)"
" -> Index Scan using item_size_cd_pkey on item_size_cd (cost=0.00..0.27 rows=1 width=25) (actual time=0.003..0.004 rows=1 loops=5118)"
" Index Cond: (iis.size_cd_id = item_size_cd.size_cd_id)"
" Filter: ((item_size_cd.division)::text = 'BSM'::text)"
" -> Index Scan using item_color_cd_pkey on item_color_cd (cost=0.00..0.27 rows=1 width=25) (actual time=0.003..0.004 rows=1 loops=5118)"
" Index Cond: (iis.color_cd_id = item_color_cd.color_cd_id)"
" Filter: ((item_color_cd.division)::text = 'BSM'::text)"
"Total runtime: 3208.876 ms"
consulta es con el único cambio es donde Date (FECHA_TRANS) ENTRE '2012-04-01' Y '2012-04-17'
SELECT trans_date AS order_date,
iin.item_num AS item_num,
color_cd AS color_code,
color_desc AS color_description,
size_cd AS size_code,
size_desc AS size_description,
class_cd AS class_code,
class_desc AS class_description,
dept_cd AS dept_code,
dept_desc AS dept_description,
Count(ord_id) AS num_of_orders,
Sum(vs.qty_ordered) AS units,
To_char(Sum(merch_amt_new3),'99G999G990.00') AS merch_amt,
To_char(Sum(gift_cert_new3 - gift_cert_canceled_new3),
'99G999G990.00') AS gift_cert,
To_char(Sum(discount_amt),'99G999G990.00') AS discount_amt,
To_char(Sum(tax_amt),'99G999G990.00') AS tax,
To_char(Sum(vs.qty_ordered * Coalesce(iis.cost,iin.cost)),
'99G999G990.00') AS extended_cost,
To_char(Sum(merch_amt - discount_amt),'99G999G990.00') AS total,
To_char(Sum(canceled_merch_new3),'99G999G990.00') AS canceled_merch,
iis.sku_id
FROM (SELECT oh.division,
oh.ord_id,
client_order_num,
source_id,
bus_type_id,
order_type_id,
Date(ls.trans_date) AS trans_date,
ls.ord_line_id,
Sum(ls.qty_ordered) AS qty_ordered,
Sum(ls.amount) AS merch_amt,
Sum(tax) AS tax_amt,
Coalesce((SELECT Sum(ledger_discount.amount) AS SUM
FROM ledger_discount
WHERE ledger_discount.ledger_code ~~ 'D%'
AND ledger_discount.division = oh.division
AND ledger_discount.ord_id = oh.ord_id
AND ledger_discount.ord_line_id = ls.ord_line_id
AND Date(ledger_discount.trans_date) = Date(ls.trans_date)),
0.0) AS discount_amt,
(CASE
WHEN ls.ledger_code = 'DO'
THEN Sum(ls.amount)
ELSE 0.0
END) AS merch_amt_new3,
(CASE
WHEN ls.ledger_code = 'DOG'
THEN Sum(ls.amount)
ELSE 0.0
END) AS gift_cert_new3,
(CASE
WHEN ls.ledger_code = 'DCG'
THEN Sum(-ls.amount)
ELSE 0.0
END) AS gift_cert_canceled_new3,
(CASE
WHEN ls.ledger_code = 'DC'
THEN Sum(-ls.amount)
ELSE 0.0
END) AS canceled_merch_new3
FROM ledger_demand ls
JOIN ord_header oh
USING(division,ord_id)
WHERE (ls.qty_ordered > 0
AND ls.ledger_code ~~ 'D%')
OR (ls.ledger_code ~~ 'DC%')
GROUP BY oh.division,
oh.ord_id,
client_order_num,
source_id,
bus_type_id,
order_type_id,
ls.trans_date,
ls.ord_line_id,
ls.ledger_code
) AS vs
JOIN ord_line
USING(division,ord_id,ord_line_id)
JOIN item_sku AS iis
USING(division,item_id)
JOIN item_item_num AS iin
USING(division,item_num_id)
LEFT JOIN item_color_cd
USING(division,color_cd_id)
LEFT JOIN item_size_cd
USING(division,size_cd_id)
LEFT JOIN item_class_cd
USING(division,class_cd_id)
LEFT JOIN item_dept_cd
USING(division,dept_cd_id)
WHERE DATE(trans_date) BETWEEN '2012-04-01' AND '2012-04-17'
AND item_dept_cd.dept_cd LIKE 'S'
AND division = 'BSM'
GROUP BY trans_date,
iin.item_num,
color_cd,
color_desc,
size_cd,
size_desc,
class_cd,
class_desc,
dept_cd,
dept_desc,
iis.sku_id
[explicar la primera consulta] (http://explain.depesz.com/s/qIz) | [explicar por la segunda consulta] (http://explain.depesz.com/s/qw5) – dschulz
¿Puedes publicar la consulta real, por favor? – dschulz
Publiqué la consulta en la pregunta inicial por usted. – tnguyen444