I made some slight changes to the SQL you provided, but the optimization
approach remained the same.
I was surprised that the results were retrieved in less than one second. It's
really impressive!
Below is the execution plan. Thank you very much for providing the optimization
method, I learned a lot from it.
explain analyse
with t_res as
(select RSNO, KNO, CRSNO
from tbl_res
where tbl_res.CID >= to_date('2022/07/01', 'YYYY/MM/DD')
and tbl_res.CID <= to_date('2022/07/31', 'YYYY/MM/DD')
and tbl_res.COD >= to_date('2022/07/01', 'YYYY/MM/DD')
and tbl_res.COD <= to_date('2022/07/31', 'YYYY/MM/DD')),
t_pov2 as
(select t_cust.RSNO, t_cust.KNO, MIN(t_cust.GSTSEQ) GSTSEQ
from t_res -- this is tbl_res already filter by date
inner join tbl_cust t_cust
on t_res.RSNO = t_cust.RSNO
inner join tbl_pov t_pov
on t_pov.CRSNO = t_res.CRSNO -- why you use this table? it doesn't seem
to be used to extract data. Are you trying to extract data from t_res that have
at least a record in t_pov? in this case could work better move this join in
the first with (using distinct or group by to ensure there will be just a
record for RSNO and KNO)
where t_cust.STSFLG = 'T'
and t_cust.DISPSEQ <> 9999
AND t_cust.KFIX = '0'
group by t_cust.RSNO, t_cust.KNO),
t_pov3 as
(select t_cust.RSNO RSNO2, t_cust.KNO, t_cust.AGE, t_cust.GST
from tbl_cust t_cust
inner join t_pov2
on t_pov2.RSNO = t_cust.RSNO
and t_pov2.KNO = t_cust.KNO
and t_pov2.GSTSEQ = t_cust.GSTSEQ)
select *
from t_res
left outer join t_pov3
on t_res.RSNO = t_pov3.RSNO2
and t_res.KNO = t_pov3.KNO
----- execution plan -----
Hash Right Join (cost=125923.21..132076.05 rows=472 width=164) (actual
time=408.252..410.342 rows=15123 loops=1)
Hash Cond: ((t_cust.RSNO = t_res.RSNO) AND ((t_cust.KNO)::text =
(t_res.KNO)::text))
CTE t_res
-> Gather (cost=1000.00..58410.51 rows=472 width=27) (actual
time=55.587..207.684 rows=15123 loops=1)
Workers Planned: 2
Workers Launched: 2
-> Parallel Seq Scan on tbl_res (cost=0.00..57363.31 rows=197
width=27) (actual time=49.850..204.235 rows=5041 loops=3)
Filter: ((CID >= to_date('2022/07/01'::text,
'YYYY/MM/DD'::text)) AND (CID <= to_date('2022/07/31'::text,
'YYYY/MM/DD'::text)) AND (COD >= to_date('2022/07/01'::text,
'YYYY/MM/DD'::text)) AND (COD <= to_date('2022/07/31'::text,
'YYYY/MM/DD'::text)))
Rows Removed by Filter: 161714
-> Nested Loop (cost=67496.18..73648.88 rows=1 width=56) (actual
time=191.880..191.924 rows=11 loops=1)
-> GroupAggregate (cost=67495.75..67510.49 rows=737 width=50) (actual
time=191.869..191.878 rows=11 loops=1)
Group Key: t_cust_1.RSNO, t_cust_1.KNO
-> Sort (cost=67495.75..67497.59 rows=737 width=23) (actual
time=191.859..191.862 rows=13 loops=1)
Sort Key: t_cust_1.RSNO, t_cust_1.KNO
Sort Method: quicksort Memory: 26kB
-> Nested Loop (cost=57118.88..67460.65 rows=737
width=23) (actual time=172.185..191.837 rows=13 loops=1)
-> Hash Join (cost=57118.45..58758.38 rows=472
width=14) (actual time=172.154..191.647 rows=13 loops=1)
Hash Cond: ((t_res_1.crsno)::text =
(t_pov.crsno)::text)
-> CTE Scan on t_res t_res_1 (cost=0.00..9.44
rows=472 width=72) (actual time=0.003..1.445 rows=15123 loops=1)
-> Hash (cost=51380.09..51380.09 rows=330109
width=9) (actual time=170.350..170.350 rows=330109 loops=1)
Buckets: 131072 Batches: 8 Memory
Usage: 2707kB
-> Seq Scan on tbl_pov t_pov
(cost=0.00..51380.09 rows=330109 width=9) (actual time=0.029..124.632
rows=330109 loops=1)
-> Index Scan using tbl_cust_pk on tbl_cust t_cust_1
(cost=0.43..18.42 rows=2 width=23) (actual time=0.011..0.012 rows=1 loops=13)
Index Cond: (RSNO = t_res_1.RSNO)
Filter: ((dispseq <> '9999'::numeric) AND
((stsflg)::text = 'T'::text) AND ((KFIX)::text = '0'::text))
Rows Removed by Filter: 2
-> Index Scan using tbl_cust_pk on tbl_cust t_cust (cost=0.43..8.31
rows=1 width=61) (actual time=0.003..0.003 rows=1 loops=11)
Index Cond: ((RSNO = t_cust_1.RSNO) AND (gstseq =
(min(t_cust_1.gstseq))))
Filter: ((t_cust_1.KNO)::text = (KNO)::text)
-> Hash (cost=9.44..9.44 rows=472 width=108) (actual time=216.361..216.361
rows=15123 loops=1)
Buckets: 16384 (originally 1024) Batches: 1 (originally 1) Memory
Usage: 882kB
-> CTE Scan on t_res (cost=0.00..9.44 rows=472 width=108) (actual
time=55.591..211.698 rows=15123 loops=1)
Planning Time: 1.417 ms
Execution Time: 411.019 ms
--------------------------------------------------------------------------------
At 2023-06-05 22:53:56, "Lorusso Domenico" <domenico....@gmail.com> wrote:
try this (there is some comment)
with t_res as (
select RSNO, KNO
from TBL_RES
where TBL_RES.CID >= to_date('2022/07/01', 'YYYY/MM/DD')
and TBL_RES.CID <= to_date('2022/07/31', 'YYYY/MM/DD')
and TBL_RES.COD >= to_date('2022/07/01', 'YYYY/MM/DD')
and TBL_RES.COD <= to_date('2022/07/31', 'YYYY/MM/DD')
), t_pov2 as (
select T_CUST.RSNO ,
T_CUST.KNO ,
MIN(T_CUST.GSTSEQ) GSTSEQ
from T_RES -- this is tbl_res already filter by date
inner join TBL_CUST T_CUST on T_RES.RSNO = T_CUST.RSNO
inner join TBL_POV T_POV on T_POV.CRSNO = T_RES.CRSNO -- why you use this
table? it doesn't seem to be used to extract data. Are you trying to extract
data from T_RES that have at least a record in T_POV? in this case could work
better move this join in the first with (using distinct or group by to ensure
there will be just a record for rsno and kno)
where T_CUST.STSFLG = 'T'
and T_CUST.DISPSEQ <> 9999
AND T_CUST.KFIX = '0'
group by T_CUST.RSNO , T_CUST.KNO
), t_pov3 as (
select T_CUST.RSNO RSNO2 ,
T_CUST.KNO ,
T_CUST.AGE ,
T_CUST.GST
from TBL_CUST T_CUST
inner join t_pov2 on T_POV2.RSNO = T_CUST.RSNO
and T_POV2.KNO = T_CUST.KNO
and T_POV2.GSTSEQ = T_CUST.GSTSEQ
)
select *
from TBL_RES
left outer join t_pov3 on TBL_RES.RSNO = T_POV3.RSNO2
and TBL_RES.KNO = T_POV3.KNO
Il giorno lun 5 giu 2023 alle ore 12:06 gzh <gzhco...@126.com> ha scritto:
Thank you very much for taking the time to reply to my question.
I followed your suggestion and rewrote the SQL using Common Table Expression
(CTE).
Unfortunately, there was no significant improvement in performance.
At 2023-06-05 17:47:25, "Lorusso Domenico" <domenico....@gmail.com> wrote:
Hello,
In many case a formal writing and usage of with statement could solve the issue.
If you need join, use always join:
where T_POV2.RSNO = T_CUST.RSNO
and T_POV2.KNO = T_CUST.KNO
and T_POV2.GSTSEQ = T_CUST.GSTSEQ)
this is an inner join.
I mean something like this
with t_pov2 as (
select T_CUST.RSNO ,
T_CUST.KNO ,
MIN(T_CUST.GSTSEQ) GSTSEQ
from TBL_CUST T_CUST ,
TBL_POV T_POV ,
TBL_RES T_RES
where T_CUST.STSFLG = 'T'
and T_CUST.DISPSEQ <> 9999
AND T_CUST.KFIX = '0'
and T_POV.CRSNO = T_RES.CRSNO
and T_RES.RSNO = T_CUST.RSNO
group by T_CUST.RSNO , T_CUST.KNO
), t_pov3 as (
select T_CUST.RSNO RSNO2 ,
T_CUST.KNO ,
T_CUST.AGE ,
T_CUST.GST
from TBL_CUST T_CUST
inner join t_pov2 on T_POV2.RSNO = T_CUST.RSNO
and T_POV2.KNO = T_CUST.KNO
and T_POV2.GSTSEQ = T_CUST.GSTSEQ
)
select *
from TBL_RES
left outer join t_pov3 on TBL_RES.RSNO = T_POV3.RSNO2
and TBL_RES.KNO = T_POV3.KNO
where TBL_RES.CID >= to_date('2022/07/01', 'YYYY/MM/DD')
and TBL_RES.CID <= to_date('2022/07/31', 'YYYY/MM/DD')
and TBL_RES.COD >= to_date('2022/07/01', 'YYYY/MM/DD')
and TBL_RES.COD <= to_date('2022/07/31', 'YYYY/MM/DD')
but if tbl_res contain lessere record a good idea is start from this table and
use in join with other
Il giorno lun 5 giu 2023 alle ore 08:57 gzh <gzhco...@126.com> ha scritto:
Hi everyone,
I'm running into some performance issues with my SQL query.
The following SQL query is taking a long time to execute.
Execution Plan：
explain analyse
select * from TBL_RES
left outer join(select T_CUST.RSNO RSNO2 ,
T_CUST.KNO ,
T_CUST.AGE ,
T_CUST.GST
from TBL_CUST T_CUST ,
(select T_CUST.RSNO ,
T_CUST.KNO ,
MIN(T_CUST.GSTSEQ) GSTSEQ
from TBL_CUST T_CUST ,
TBL_POV T_POV ,
TBL_RES T_RES
where T_CUST.STSFLG = 'T'
and T_CUST.DISPSEQ <> 9999
AND T_CUST.KFIX = '0'
and T_POV.CRSNO = T_RES.CRSNO
and T_RES.RSNO = T_CUST.RSNO
group by T_CUST.RSNO , T_CUST.KNO) T_POV2
where T_POV2.RSNO = T_CUST.RSNO
and T_POV2.KNO = T_CUST.KNO
and T_POV2.GSTSEQ = T_CUST.GSTSEQ) T_POV3 on TBL_RES.RSNO = T_POV3.RSNO2
and TBL_RES.KNO = T_POV3.KNO
where TBL_RES.CID >= to_date('2022/07/01', 'YYYY/MM/DD')
and TBL_RES.CID <= to_date('2022/07/31', 'YYYY/MM/DD')
and TBL_RES.COD >= to_date('2022/07/01', 'YYYY/MM/DD')
and TBL_RES.COD <= to_date('2022/07/31', 'YYYY/MM/DD')
----- Execution Plan -----
Nested Loop Left Join (cost=254388.44..452544.70 rows=473 width=3545) (actual
time=3077.312..996048.714 rows=15123 loops=1)
Join Filter: ((TBL_RES.RSNO = T_CUST.RSNO) AND ((TBL_RES.KNO)::text =
(T_CUST.KNO)::text))
Rows Removed by Join Filter: 4992268642
-> Gather (cost=1000.00..58424.35 rows=473 width=3489) (actual
time=0.684..14.158 rows=15123 loops=1)
Workers Planned: 2
Workers Launched: 2
-> Parallel Seq Scan on TBL_RES (cost=0.00..57377.05 rows=197
width=3489) (actual time=0.096..279.504 rows=5041 loops=3)
Filter: ((CID >= to_date('2022/07/01'::text, 'YYYY/MM/DD'::text))
AND (CID <= to_date('2022/07/31'::text, 'YYYY/MM/DD'::text)) AND (COD >=
to_date('2022/07/01'::text, 'YYYY/MM/DD'::text)) AND (COD <=
to_date('2022/07/31'::text, 'YYYY/MM/DD'::text)))
Rows Removed by Filter: 161714
-> Materialize (cost=253388.44..394112.08 rows=1 width=56) (actual
time=0.081..26.426 rows=330111 loops=15123)
-> Hash Join (cost=253388.44..394112.07 rows=1 width=56) (actual
time=1197.484..2954.084 rows=330111 loops=1)
Hash Cond: ((T_CUST.RSNO = T_CUST_1.RSNO) AND ((T_CUST.KNO)::text
= (T_CUST_1.KNO)::text) AND (T_CUST.gstseq = (min(T_CUST_1.gstseq))))
-> Seq Scan on TBL_CUST T_CUST (cost=0.00..79431.15
rows=2000315 width=61) (actual time=0.015..561.005 rows=2000752 loops=1)
-> Hash (cost=246230.90..246230.90 rows=262488 width=50)
(actual time=1197.025..1209.957 rows=330111 loops=1)
Buckets: 65536 Batches: 8 Memory Usage: 2773kB
-> Finalize GroupAggregate (cost=205244.84..243606.02
rows=262488 width=50) (actual time=788.552..1116.074 rows=330111 loops=1)
Group Key: T_CUST_1.RSNO, T_CUST_1.KNO
-> Gather Merge (cost=205244.84..238964.80
rows=268846 width=50) (actual time=788.547..982.479 rows=330111 loops=1)
Workers Planned: 2
Workers Launched: 1
-> Partial GroupAggregate
(cost=204244.81..206933.27 rows=134423 width=50) (actual time=784.032..900.979
rows=165056 loops=2)
Group Key: T_CUST_1.RSNO, T_CUST_1.KNO
-> Sort (cost=204244.81..204580.87
rows=134423 width=23) (actual time=784.019..833.791 rows=165061 loops=2)
Sort Key: T_CUST_1.RSNO,
T_CUST_1.KNO
Sort Method: external merge Disk:
5480kB
Worker 0: Sort Method: external
merge Disk: 5520kB
-> Parallel Hash Join
(cost=111758.80..190036.38 rows=134423 width=23) (actual time=645.302..716.247
rows=165061 loops=2)
Hash Cond: (T_CUST_1.RSNO =
T_RES.RSNO)
-> Parallel Seq Scan on
TBL_CUST T_CUST_1 (cost=0.00..74013.63 rows=204760 width=23) (actual
time=0.018..264.390 rows=165058 loops=2)
Filter: ((dispseq <>
'9999'::numeric) AND ((stsflg)::text = 'T'::text) AND ((KFIX)::text =
'0'::text))
Rows Removed by Filter:
835318
-> Parallel Hash
(cost=109508.52..109508.52 rows=137142 width=8) (actual time=343.593..343.896
rows=165058 loops=2)
Buckets: 131072
Batches: 8 Memory Usage: 3008kB
-> Parallel Hash Join
(cost=51834.70..109508.52 rows=137142 width=8) (actual time=256.732..314.368
rows=165058 loops=2)
Hash Cond:
((T_RES.crsno)::text = (T_POV.crsno)::text)
-> Parallel Seq
Scan on TBL_RES T_RES (cost=0.00..53199.02 rows=208902 width=17) (actual
time=0.007..100.510 rows=250132 loops=2)
-> Parallel Hash
(cost=49450.42..49450.42 rows=137142 width=9) (actual time=122.308..122.309
rows=165054 loops=2)
Buckets:
131072 Batches: 8 Memory Usage: 2976kB
->
Parallel Seq Scan on TBL_POV T_POV (cost=0.00..49450.42 rows=137142 width=9)
(actual time=0.037..89.470 rows=165054 loops=2)
Planning Time: 1.064 ms
Execution Time: 996062.382 ms
--------------------------------------------------------------------------------
The amount of data in the table is as follows.
TBL_RES 500265
TBL_CUST 2000752
TBL_POV 330109
Any suggestions for improving the performance of the query would be greatly
appreciated.
Thanks in advance!
--
Domenico L.
per stupire mezz'ora basta un libro di storia,
io cercai di imparare la Treccani a memoria... [F.d.A.]
--
Domenico L.
per stupire mezz'ora basta un libro di storia,
io cercai di imparare la Treccani a memoria... [F.d.A.]
