explain.depesz.com

PostgreSQL's explain analyze made readable

Result: kFz

Settings
# exclusive inclusive rows x rows loops node
1. 15.655 107.344 ↑ 1.0 2,520 1

Hash Left Join (cost=911.13..1,314.80 rows=2,523 width=377) (actual time=56.937..107.344 rows=2,520 loops=1)

  • Hash Cond: (barrio.cod_city = city.id)
2. 5.462 90.647 ↑ 1.0 2,520 1

Hash Left Join (cost=895.52..1,227.53 rows=2,523 width=334) (actual time=55.836..90.647 rows=2,520 loops=1)

  • Hash Cond: (ubicacion.id_barrio = barrio.id_barrio)
3. 6.089 81.169 ↑ 1.0 2,520 1

Hash Left Join (cost=831.48..1,125.65 rows=2,523 width=320) (actual time=51.786..81.169 rows=2,520 loops=1)

  • Hash Cond: (planificacion.id_ubicacion = ubicacion.id_ubicacion)
4. 15.053 65.000 ↑ 1.0 2,520 1

Hash Join (cost=705.11..975.04 rows=2,523 width=233) (actual time=41.661..65.000 rows=2,520 loops=1)

  • Hash Cond: (periodo.id_planificacion = planificacion.id_planificacion)
5. 8.378 8.378 ↑ 1.0 9,913 1

Seq Scan on periodo (cost=0.00..195.13 rows=9,913 width=36) (actual time=0.006..8.378 rows=9,913 loops=1)

6. 4.602 41.569 ↑ 1.0 2,520 1

Hash (cost=673.57..673.57 rows=2,523 width=201) (actual time=41.569..41.569 rows=2,520 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 440kB
7. 5.080 36.967 ↑ 1.0 2,520 1

Hash Join (cost=170.50..673.57 rows=2,523 width=201) (actual time=5.462..36.967 rows=2,520 loops=1)

  • Hash Cond: (planificacion.id_unidad_operativa = unidad_operativa.id_unidad_operativa)
8. 4.181 31.678 ↑ 1.0 2,520 1

Nested Loop (cost=166.36..634.74 rows=2,523 width=185) (actual time=5.228..31.678 rows=2,520 loops=1)

9. 0.011 0.011 ↑ 1.0 1 1

Seq Scan on sub_estado (cost=0.00..1.04 rows=1 width=4) (actual time=0.006..0.011 rows=1 loops=1)

  • Filter: (id_subestado = 2)
  • Rows Removed by Filter: 2
10. 5.963 27.486 ↑ 1.0 2,520 1

Hash Join (cost=166.36..608.48 rows=2,523 width=189) (actual time=5.216..27.486 rows=2,520 loops=1)

  • Hash Cond: (planificacion.id_estado = estado_planificacion.id_estado)
11. 6.418 21.510 ↑ 1.0 2,520 1

Hash Join (cost=165.27..572.70 rows=2,523 width=193) (actual time=5.180..21.510 rows=2,520 loops=1)

  • Hash Cond: (planificacion.id_especialiadad = especialidades.id_especialidades)
12. 4.544 10.585 ↑ 1.0 2,523 1

Hash Join (cost=102.66..475.38 rows=2,526 width=51) (actual time=0.633..10.585 rows=2,523 loops=1)

  • Hash Cond: (planificacion.id_modalidad = modalidad.id_modalidad)
13. 5.507 6.029 ↑ 1.0 2,533 1

Bitmap Heap Scan on planificacion (cost=101.61..439.55 rows=2,539 width=44) (actual time=0.587..6.029 rows=2,533 loops=1)

  • Recheck Cond: (id_subestado = 2)
  • Filter: ((id_tipo_insc = 1) AND ((id_estado = 2) OR (id_estado = 3)))
  • Rows Removed by Filter: 264
14. 0.522 0.522 ↓ 1.0 2,798 1

Bitmap Index Scan on planificacion_id_subestado_idx (cost=0.00..100.98 rows=2,797 width=0) (actual time=0.522..0.522 rows=2,798 loops=1)

  • Index Cond: (id_subestado = 2)
15. 0.005 0.012 ↑ 1.0 2 1

Hash (cost=1.02..1.02 rows=2 width=15) (actual time=0.012..0.012 rows=2 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 1kB
16. 0.007 0.007 ↑ 1.0 2 1

Seq Scan on modalidad (cost=0.00..1.02 rows=2 width=15) (actual time=0.005..0.007 rows=2 loops=1)

17. 1.348 4.507 ↓ 1.0 885 1

Hash (cost=51.58..51.58 rows=883 width=150) (actual time=4.507..4.507 rows=885 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 112kB
18. 1.681 3.159 ↓ 1.0 885 1

Hash Join (cost=4.61..51.58 rows=883 width=150) (actual time=0.340..3.159 rows=885 loops=1)

  • Hash Cond: (especialidades.id_area = areas.id_areas)
19. 1.180 1.180 ↓ 1.0 885 1

Seq Scan on especialidades (cost=0.00..34.83 rows=883 width=116) (actual time=0.009..1.180 rows=885 loops=1)

20. 0.066 0.298 ↑ 1.0 57 1

Hash (cost=3.89..3.89 rows=57 width=42) (actual time=0.298..0.298 rows=57 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 5kB
21. 0.129 0.232 ↑ 1.0 57 1

Hash Join (cost=1.54..3.89 rows=57 width=42) (actual time=0.082..0.232 rows=57 loops=1)

  • Hash Cond: (areas.id_familia_profesional = programas_formacion_familias.id_prog_formacion)
22. 0.049 0.049 ↑ 1.0 57 1

Seq Scan on areas (cost=0.00..1.57 rows=57 width=25) (actual time=0.004..0.049 rows=57 loops=1)

23. 0.030 0.054 ↑ 1.0 24 1

Hash (cost=1.24..1.24 rows=24 width=29) (actual time=0.054..0.054 rows=24 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 2kB
24. 0.024 0.024 ↑ 1.0 24 1

Seq Scan on programas_formacion_familias (cost=0.00..1.24 rows=24 width=29) (actual time=0.004..0.024 rows=24 loops=1)

25. 0.004 0.013 ↑ 1.0 4 1

Hash (cost=1.04..1.04 rows=4 width=4) (actual time=0.013..0.013 rows=4 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 1kB
26. 0.009 0.009 ↑ 1.0 4 1

Seq Scan on estado_planificacion (cost=0.00..1.04 rows=4 width=4) (actual time=0.004..0.009 rows=4 loops=1)

27. 0.102 0.209 ↑ 1.0 95 1

Hash (cost=2.95..2.95 rows=95 width=22) (actual time=0.209..0.209 rows=95 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 6kB
28. 0.107 0.107 ↑ 1.0 95 1

Seq Scan on unidad_operativa (cost=0.00..2.95 rows=95 width=22) (actual time=0.005..0.107 rows=95 loops=1)

29. 3.916 10.080 ↓ 1.0 3,020 1

Hash (cost=88.94..88.94 rows=2,994 width=95) (actual time=10.080..10.080 rows=3,020 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 382kB
30. 6.164 6.164 ↓ 1.0 3,020 1

Seq Scan on ubicacion (cost=0.00..88.94 rows=2,994 width=95) (actual time=0.007..6.164 rows=3,020 loops=1)

31. 2.093 4.016 ↑ 1.1 2,075 1

Hash (cost=36.24..36.24 rows=2,224 width=20) (actual time=4.016..4.016 rows=2,075 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 109kB
32. 1.923 1.923 ↑ 1.1 2,075 1

Seq Scan on barrio (cost=0.00..36.24 rows=2,224 width=20) (actual time=0.007..1.923 rows=2,075 loops=1)

33. 0.288 1.042 ↑ 1.0 254 1

Hash (cost=12.44..12.44 rows=254 width=51) (actual time=1.042..1.042 rows=254 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 21kB
34. 0.502 0.754 ↑ 1.0 254 1

Hash Left Join (cost=1.41..12.44 rows=254 width=51) (actual time=0.068..0.754 rows=254 loops=1)

  • Hash Cond: (city.distrito_id = distritos.id)
35. 0.213 0.213 ↑ 1.0 254 1

Seq Scan on city (cost=0.00..7.54 rows=254 width=48) (actual time=0.005..0.213 rows=254 loops=1)

36. 0.019 0.039 ↑ 1.0 18 1

Hash (cost=1.18..1.18 rows=18 width=19) (actual time=0.039..0.039 rows=18 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 1kB
37. 0.020 0.020 ↑ 1.0 18 1

Seq Scan on distritos (cost=0.00..1.18 rows=18 width=19) (actual time=0.004..0.020 rows=18 loops=1)