I have a weird case of query execution performance here. The query has a date
values in the WHERE clause, and the speed of executing varies by values of
the date. Actualy,
- for the dates from the range of the last 30 days execution takes aruond
3 min
- for the dates before the range of the last 30 days execution takes a few
seconds
The query is listed below, with the date in the last 30 days range:
select
sk2_.code as col_0_0_,
bra4_.code as col_1_0_,
st0_.quantity as col_2_0_,
bat1_.forecast as col_3_0_
from
TBL_st st0_,
TBL_bat bat1_,
TBL_sk sk2_,
TBL_bra bra4_
where
st0_.batc_id=bat1_.id
and bat1_.sku_id=sk2_.id
and bat1_.bran_id=bra4_.id
and not (exists (select
1
from
TBL_st st6_,
TBL_bat bat7_,
TBL_sk sk10_
where
st6_.batc_id=bat7_.id
and bat7_.sku_id=sk10_.id
and bat7_.bran_id=bat1_.bran_id
and sk10_.code=sk2_.code
and st6_.date>st0_.date
and sk10_.acco_id=1
and st6_.date>='2017-04-20'
and st6_.date<='2017-04-30'))
and sk2_.acco_id=1
and st0_.date>='2017-04-20'
and st0_.date<='2017-04-30'
and here is the plan for the query with the date in the last 30 days range:
Nested Loop (cost=289.06..19764.03 rows=1 width=430) (actual
time=3482.062..326049.246 rows=249 loops=1)
-> Nested Loop Anti Join (cost=288.91..19763.86 rows=1 width=433)
(actual time=3482.023..326048.023 rows=249 loops=1)
Join Filter: ((st6_.date > st0_.date) AND ((sk10_.code)::text =
(sk2_.code)::text))
Rows Removed by Join Filter: 210558
-> Nested Loop (cost=286.43..13719.38 rows=1 width=441) (actual
time=4.648..2212.042 rows=2474 loops=1)
-> Nested Loop (cost=286.00..6871.33 rows=13335 width=436)
(actual time=4.262..657.823 rows=666738 loops=1)
-> Index Scan using uk_TBL_sk0_account_code on TBL_sk
sk2_ (cost=0.14..12.53 rows=1 width=426) (actual time=1.036..1.084 rows=50
loops=1)
Index Cond: (acco_id = 1)
-> Bitmap Heap Scan on TBL_bat bat1_
(cost=285.86..6707.27 rows=15153 width=26) (actual time=3.675..11.308
rows=13335 loops=50)
Recheck Cond: (sku_id = sk2_.id)
Heap Blocks: exact=241295
-> Bitmap Index Scan on ix_al_batc_sku_id
(cost=0.00..282.07 rows=15153 width=0) (actual time=3.026..3.026 rows=13335
loops=50)
Index Cond: (sku_id = sk2_.id)
-> Index Scan using ix_al_stle_batc_id on TBL_st st0_
(cost=0.42..0.50 rows=1 width=21) (actual time=0.002..0.002 rows=0
loops=666738)
Index Cond: (batc_id = bat1_.id)
Filter: ((date >= '2017-04-20 00:00:00'::timestamp
without time zone) AND (date <= '2017-04-30 00:00:00'::timestamp without
time zone))
Rows Removed by Filter: 1
-> Nested Loop (cost=2.49..3023.47 rows=1 width=434) (actual
time=111.345..130.883 rows=86 loops=2474)
-> Hash Join (cost=2.06..2045.18 rows=1905 width=434)
(actual time=0.010..28.028 rows=54853 loops=2474)
Hash Cond: (bat7_.sku_id = sk10_.id)
-> Index Scan using ix_al_batc_bran_id on TBL_bat bat7_
(cost=0.42..1667.31 rows=95248 width=24) (actual time=0.009..11.045
rows=54853 loops=2474)
Index Cond: (bran_id = bat1_.bran_id)
-> Hash (cost=1.63..1.63 rows=1 width=426) (actual
time=0.026..0.026 rows=50 loops=1)
Buckets: 1024 Batches: 1 Memory Usage: 11kB
-> Seq Scan on TBL_sk sk10_ (cost=0.00..1.63
rows=1 width=426) (actual time=0.007..0.015 rows=50 loops=1)
Filter: (acco_id = 1)
-> Index Scan using ix_al_stle_batc_id on TBL_st st6_
(cost=0.42..0.50 rows=1 width=16) (actual time=0.002..0.002 rows=0
loops=135706217)
Index Cond: (batc_id = bat7_.id)
Filter: ((date >= '2017-04-20 00:00:00'::timestamp
without time zone) AND (date <= '2017-04-30 00:00:00'::timestamp without
time zone))
Rows Removed by Filter: 1
-> Index Scan using TBL_bra_pk on TBL_bra bra4_ (cost=0.14..0.16 rows=1
width=13) (actual time=0.003..0.003 rows=1 loops=249)
Index Cond: (id = bat1_.bran_id)
Planning time: 8.108 ms
Execution time: 326049.583 ms
Here is the same query with the date before the last 30 days range:
select
sk2_.code as col_0_0_,
bra4_.code as col_1_0_,
st0_.quantity as col_2_0_,
bat1_.forecast as col_3_0_
from
TBL_st st0_,
TBL_bat bat1_,
TBL_sk sk2_,
TBL_bra bra4_
where
st0_.batc_id=bat1_.id
and bat1_.sku_id=sk2_.id
and bat1_.bran_id=bra4_.id
and not (exists (select
1
from
TBL_st st6_,
TBL_bat bat7_,
TBL_sk sk10_
where
st6_.batc_id=bat7_.id
and bat7_.sku_id=sk10_.id
and bat7_.bran_id=bat1_.bran_id
and sk10_.code=sk2_.code
and st6_.date>st0_.date
and sk10_.acco_id=1
and st6_.date>='2017-01-20'
and st6_.date<='2017-01-30'))
and sk2_.acco_id=1
and st0_.date>='2017-01-20'
and st0_.date<='2017-01-30'
and here is the plan for the query with the date before the last 30 days
range:
Hash Join (cost=576.33..27443.95 rows=48 width=430) (actual
time=132.732..3894.554 rows=250 loops=1)
Hash Cond: (bat1_.bran_id = bra4_.id)
-> Merge Anti Join (cost=572.85..27439.82 rows=48 width=433) (actual
time=132.679..3894.287 rows=250 loops=1)
Merge Cond: ((sk2_.code)::text = (sk10_.code)::text)
Join Filter: ((st6_.date > st0_.date) AND (bat7_.bran_id =
bat1_.bran_id))
Rows Removed by Join Filter: 84521
-> Nested Loop (cost=286.43..13719.38 rows=48 width=441) (actual
time=26.105..1893.523 rows=2491 loops=1)
-> Nested Loop (cost=286.00..6871.33 rows=13335 width=436)
(actual time=1.159..445.683 rows=666738 loops=1)
-> Index Scan using uk_TBL_sk0_account_code on TBL_sk
sk2_ (cost=0.14..12.53 rows=1 width=426) (actual time=0.035..0.084 rows=50
loops=1)
Index Cond: (acco_id = 1)
-> Bitmap Heap Scan on TBL_bat bat1_
(cost=285.86..6707.27 rows=15153 width=26) (actual time=1.741..7.148
rows=13335 loops=50)
Recheck Cond: (sku_id = sk2_.id)
Heap Blocks: exact=241295
-> Bitmap Index Scan on ix_al_batc_sku_id
(cost=0.00..282.07 rows=15153 width=0) (actual time=1.119..1.119 rows=13335
loops=50)
Index Cond: (sku_id = sk2_.id)
-> Index Scan using ix_al_stle_batc_id on TBL_st st0_
(cost=0.42..0.50 rows=1 width=21) (actual time=0.002..0.002 rows=0
loops=666738)
Index Cond: (batc_id = bat1_.id)
Filter: ((date >= '2017-01-20 00:00:00'::timestamp
without time zone) AND (date <= '2017-01-30 00:00:00'::timestamp without
time zone))
Rows Removed by Filter: 1
-> Materialize (cost=286.43..13719.50 rows=48 width=434) (actual
time=15.584..1986.953 rows=84560 loops=1)
-> Nested Loop (cost=286.43..13719.38 rows=48 width=434)
(actual time=15.577..1983.384 rows=2491 loops=1)
-> Nested Loop (cost=286.00..6871.33 rows=13335
width=434) (actual time=0.843..482.864 rows=666738 loops=1)
-> Index Scan using uk_TBL_sk0_account_code on
TBL_sk sk10_ (cost=0.14..12.53 rows=1 width=426) (actual time=0.005..0.052
rows=50 loops=1)
Index Cond: (acco_id = 1)
-> Bitmap Heap Scan on TBL_bat bat7_
(cost=285.86..6707.27 rows=15153 width=24) (actual time=2.051..7.902
rows=13335 loops=50)
Recheck Cond: (sku_id = sk10_.id)
Heap Blocks: exact=241295
-> Bitmap Index Scan on ix_al_batc_sku_id
(cost=0.00..282.07 rows=15153 width=0) (actual time=1.424..1.424 rows=13335
loops=50)
Index Cond: (sku_id = sk10_.id)
-> Index Scan using ix_al_stle_batc_id on TBL_st st6_
(cost=0.42..0.50 rows=1 width=16) (actual time=0.002..0.002 rows=0
loops=666738)
Index Cond: (batc_id = bat7_.id)
Filter: ((date >= '2017-01-20 00:00:00'::timestamp
without time zone) AND (date <= '2017-01-30 00:00:00'::timestamp without
time zone))
Rows Removed by Filter: 1
-> Hash (cost=2.10..2.10 rows=110 width=13) (actual time=0.033..0.033
rows=110 loops=1)
Buckets: 1024 Batches: 1 Memory Usage: 14kB
-> Seq Scan on TBL_bra bra4_ (cost=0.00..2.10 rows=110 width=13)
(actual time=0.004..0.013 rows=110 loops=1)
Planning time: 14.542 ms
Execution time: 3894.793 ms
Does anyone have an idea why does this happens.
Did anyone had an experience with anything similar?
Thank you very much.
Kind regards, Petar
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