explain.depesz.com

A tool for finding a real cause for slow queries.

Result: YgV

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# exclusive inclusive rows x rows loops node
1. 26.349 1828.338 ↑ 1.0 319 1

HashAggregate (cost=18068.88..18075.26 rows=319 width=32) (actual time=1827.959..1828.338 rows=319 loops=1)

2. 51.328 1801.989 ↓ 3.9 16802 1

Hash Left Join (cost=180.50..18015.15 rows=4299 width=32) (actual time=697.538..1801.989 rows=16802 loops=1)

  • Hash Cond: (v.appellation_id = a.id)
3. 32.216 1749.928 ↓ 3.9 16802 1

Hash Join (cost=170.32..17902.87 rows=4299 width=20) (actual time=696.754..1749.928 rows=16802 loops=1)

  • Hash Cond: (s.contenant_id = c.id)
4. 34.570 1717.696 ↓ 3.9 16802 1

Hash Join (cost=169.26..17842.69 rows=4299 width=20) (actual time=696.714..1717.696 rows=16802 loops=1)

  • Hash Cond: (s.vin_id = v.id)
5. 931.273 1669.459 ↓ 3.9 16802 1

Hash Join (cost=0.04..17587.49 rows=4299 width=20) (actual time=683.013..1669.459 rows=16802 loops=1)

  • Hash Cond: ((s.annee)::double precision = ((round((random() * 50::double precision)) + 1950::double precision)))
6. 738.169 738.169 ↑ 1.0 859764 1

Seq Scan on stock s (cost=0.00..13245.64 rows=859764 width=16) (actual time=0.004..738.169 rows=859764 loops=1)

7. 0.003 0.017 ↑ 1.0 1 1

Hash (cost=0.03..0.03 rows=1 width=8) (actual time=0.017..0.017 rows=1 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 1kB
8. 0.014 0.014 ↑ 1.0 1 1

Result (cost=0.00..0.02 rows=1 width=0) (actual time=0.013..0.014 rows=1 loops=1)

9. 6.796 13.667 ↑ 1.0 6054 1

Hash (cost=93.54..93.54 rows=6054 width=8) (actual time=13.667..13.667 rows=6054 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 237kB
10. 6.871 6.871 ↑ 1.0 6054 1

Seq Scan on vin v (cost=0.00..93.54 rows=6054 width=8) (actual time=0.007..6.871 rows=6054 loops=1)

11. 0.009 0.016 ↑ 1.0 3 1

Hash (cost=1.03..1.03 rows=3 width=8) (actual time=0.016..0.016 rows=3 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 1kB
12. 0.007 0.007 ↑ 1.0 3 1

Seq Scan on contenant c (cost=0.00..1.03 rows=3 width=8) (actual time=0.003..0.007 rows=3 loops=1)

13. 0.369 0.733 ↑ 1.0 319 1

Hash (cost=6.19..6.19 rows=319 width=20) (actual time=0.733..0.733 rows=319 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 17kB
14. 0.364 0.364 ↑ 1.0 319 1

Seq Scan on appellation a (cost=0.00..6.19 rows=319 width=20) (actual time=0.007..0.364 rows=319 loops=1)