#	exclusive	inclusive	rows x	rows	loops	node
1.	55.901	641.857	↓ 3.9	319	1	→ HashAggregate (cost=18048.98..18050.62 rows=82 width=28) (actual time=641.081..641.857 rows=319 loops=1)
2.						Initplan (forHashAggregate)
3.	0.010	0.010	↑ 1.0	1	1	→ Result (cost=0.00..0.02 rows=1 width=0) (actual time=0.008..0.010 rows=1 loops=1)
4.	86.579	585.946	↓ 3.9	16828	1	→ Hash Left Join (cost=180.62..17995.16 rows=4304 width=28) (actual time=168.504..585.946 rows=16828 loops=1) Hash Cond: (v.appellation_id = a.id)
5.	71.250	497.990	↓ 3.9	16828	1	→ Hash Join (cost=170.44..17882.76 rows=4304 width=16) (actual time=167.083..497.990 rows=16828 loops=1) Hash Cond: (s.contenant_id = c.id)
6.	76.685	426.710	↓ 3.9	16828	1	→ Hash Join (cost=169.37..17822.52 rows=4304 width=16) (actual time=167.026..426.710 rows=16828 loops=1) Hash Cond: (s.vin_id = v.id)
7.	324.472	324.472	↓ 3.9	16828	1	→ Seq Scan on stock s (cost=0.00..17567.06 rows=4304 width=16) (actual time=141.389..324.472 rows=16828 loops=1) Filter: ((annee)::double precision = $0)
8.	13.104	25.553	↑ 1.0	6061	1	→ Hash (cost=93.61..93.61 rows=6061 width=8) (actual time=25.553..25.553 rows=6061 loops=1) Buckets: 1024 Batches: 1 Memory Usage: 190kB
9.	12.449	12.449	↑ 1.0	6061	1	→ Seq Scan on vin v (cost=0.00..93.61 rows=6061 width=8) (actual time=0.014..12.449 rows=6061 loops=1)
10.	0.015	0.030	↑ 1.0	3	1	→ Hash (cost=1.03..1.03 rows=3 width=8) (actual time=0.030..0.030 rows=3 loops=1) Buckets: 1024 Batches: 1 Memory Usage: 1kB
11.	0.015	0.015	↑ 1.0	3	1	→ Seq Scan on contenant c (cost=0.00..1.03 rows=3 width=8) (actual time=0.008..0.015 rows=3 loops=1)
12.	0.705	1.377	↑ 1.0	319	1	→ Hash (cost=6.19..6.19 rows=319 width=20) (actual time=1.377..1.377 rows=319 loops=1) Buckets: 1024 Batches: 1 Memory Usage: 15kB
13.	0.672	0.672	↑ 1.0	319	1	→ Seq Scan on appellation a (cost=0.00..6.19 rows=319 width=20) (actual time=0.012..0.672 rows=319 loops=1)

 HashAggregate  (cost=18048.98..18050.62 rows=82 width=28) (actual time=641.081..641.857 rows=319 loops=1)
   InitPlan 1 (returns $0)
     ->  Result  (cost=0.00..0.02 rows=1 width=0) (actual time=0.008..0.010 rows=1 loops=1)
   ->  Hash Left Join  (cost=180.62..17995.16 rows=4304 width=28) (actual time=168.504..585.946 rows=16828 loops=1)
         Hash Cond: (v.appellation_id = a.id)
         ->  Hash Join  (cost=170.44..17882.76 rows=4304 width=16) (actual time=167.083..497.990 rows=16828 loops=1)
               Hash Cond: (s.contenant_id = c.id)
               ->  Hash Join  (cost=169.37..17822.52 rows=4304 width=16) (actual time=167.026..426.710 rows=16828 loops=1)
                     Hash Cond: (s.vin_id = v.id)
                     ->  Seq Scan on stock s  (cost=0.00..17567.06 rows=4304 width=16) (actual time=141.389..324.472 rows=16828 loops=1)
                           Filter: ((annee)::double precision = $0)
                     ->  Hash  (cost=93.61..93.61 rows=6061 width=8) (actual time=25.553..25.553 rows=6061 loops=1)
                           Buckets: 1024  Batches: 1  Memory Usage: 190kB
                           ->  Seq Scan on vin v  (cost=0.00..93.61 rows=6061 width=8) (actual time=0.014..12.449 rows=6061 loops=1)
               ->  Hash  (cost=1.03..1.03 rows=3 width=8) (actual time=0.030..0.030 rows=3 loops=1)
                     Buckets: 1024  Batches: 1  Memory Usage: 1kB
                     ->  Seq Scan on contenant c  (cost=0.00..1.03 rows=3 width=8) (actual time=0.008..0.015 rows=3 loops=1)
         ->  Hash  (cost=6.19..6.19 rows=319 width=20) (actual time=1.377..1.377 rows=319 loops=1)
               Buckets: 1024  Batches: 1  Memory Usage: 15kB
               ->  Seq Scan on appellation a  (cost=0.00..6.19 rows=319 width=20) (actual time=0.012..0.672 rows=319 loops=1)
 Total runtime: 642.598 ms

Per node type stats

node type	count	sum of times	% of query
Hash	3	13.824 ms	2.2 %
Hash Join	2	147.935 ms	23.0 %
Hash Left Join	1	86.579 ms	13.5 %
HashAggregate	1	55.901 ms	8.7 %
Result	1	0.010 ms	0.0 %
Seq Scan	4	337.608 ms	52.6 %

Per table stats

Table name	Scan count	Total time	% of query
scan type	count	sum of times	% of table
appellation	1	0.672 ms	0.1 %
Seq Scan	1	0.672 ms	100.0 %
contenant	1	0.015 ms	0.0 %
Seq Scan	1	0.015 ms	100.0 %
stock	1	324.472 ms	50.6 %
Seq Scan	1	324.472 ms	100.0 %
vin	1	12.449 ms	1.9 %
Seq Scan	1	12.449 ms	100.0 %

explain.depesz.com

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Per table stats