explain.depesz.com

PostgreSQL's explain analyze made readable

Result: egYb

Settings
# exclusive inclusive rows x rows loops node
1. 24.957 287.488 ↑ 1.0 2,521 1

Hash Left Join (cost=911.23..170,932.06 rows=2,524 width=377) (actual time=54.270..287.488 rows=2,521 loops=1)

  • Hash Cond: (barrio.cod_city = city.id)
2. 5.450 87.495 ↑ 1.0 2,521 1

Hash Left Join (cost=895.62..1,227.68 rows=2,524 width=334) (actual time=52.969..87.495 rows=2,521 loops=1)

  • Hash Cond: (ubicacion.id_barrio = barrio.id_barrio)
3. 5.718 77.582 ↑ 1.0 2,521 1

Hash Left Join (cost=831.58..1,125.78 rows=2,524 width=320) (actual time=48.463..77.582 rows=2,521 loops=1)

  • Hash Cond: (planificacion.id_ubicacion = ubicacion.id_ubicacion)
4. 14.677 64.290 ↑ 1.0 2,521 1

Hash Join (cost=705.22..975.15 rows=2,524 width=233) (actual time=40.857..64.290 rows=2,521 loops=1)

  • Hash Cond: (periodo.id_planificacion = planificacion.id_planificacion)
5. 8.835 8.835 ↑ 1.0 9,913 1

Seq Scan on periodo (cost=0.00..195.13 rows=9,913 width=36) (actual time=0.009..8.835 rows=9,913 loops=1)

6. 5.127 40.778 ↑ 1.0 2,521 1

Hash (cost=673.67..673.67 rows=2,524 width=201) (actual time=40.778..40.778 rows=2,521 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 440kB
7. 5.089 35.651 ↑ 1.0 2,521 1

Hash Join (cost=170.51..673.67 rows=2,524 width=201) (actual time=5.548..35.651 rows=2,521 loops=1)

  • Hash Cond: (planificacion.id_unidad_operativa = unidad_operativa.id_unidad_operativa)
8. 4.263 30.363 ↑ 1.0 2,521 1

Nested Loop (cost=166.37..634.82 rows=2,524 width=185) (actual time=5.332..30.363 rows=2,521 loops=1)

9. 0.008 0.008 ↑ 1.0 1 1

Seq Scan on sub_estado (cost=0.00..1.04 rows=1 width=4) (actual time=0.005..0.008 rows=1 loops=1)

  • Filter: (id_subestado = 2)
  • Rows Removed by Filter: 2
10. 4.829 26.092 ↑ 1.0 2,521 1

Hash Join (cost=166.37..608.55 rows=2,524 width=189) (actual time=5.319..26.092 rows=2,521 loops=1)

  • Hash Cond: (planificacion.id_estado = estado_planificacion.id_estado)
11. 5.370 21.250 ↑ 1.0 2,521 1

Hash Join (cost=165.28..572.75 rows=2,524 width=193) (actual time=5.289..21.250 rows=2,521 loops=1)

  • Hash Cond: (planificacion.id_especialiadad = especialidades.id_especialidades)
12. 4.876 11.298 ↑ 1.0 2,524 1

Hash Join (cost=102.67..475.42 rows=2,527 width=51) (actual time=0.691..11.298 rows=2,524 loops=1)

  • Hash Cond: (planificacion.id_modalidad = modalidad.id_modalidad)
13. 5.820 6.412 ↑ 1.0 2,534 1

Bitmap Heap Scan on planificacion (cost=101.62..439.58 rows=2,540 width=44) (actual time=0.656..6.412 rows=2,534 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. 0.592 0.592 ↑ 1.0 2,798 1

Bitmap Index Scan on planificacion_id_subestado_idx (cost=0.00..100.98 rows=2,798 width=0) (actual time=0.592..0.592 rows=2,798 loops=1)

  • Index Cond: (id_subestado = 2)
15. 0.004 0.010 ↑ 1.0 2 1

Hash (cost=1.02..1.02 rows=2 width=15) (actual time=0.010..0.010 rows=2 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 1kB
16. 0.006 0.006 ↑ 1.0 2 1

Seq Scan on modalidad (cost=0.00..1.02 rows=2 width=15) (actual time=0.004..0.006 rows=2 loops=1)

17. 1.346 4.582 ↓ 1.0 885 1

Hash (cost=51.58..51.58 rows=883 width=150) (actual time=4.582..4.582 rows=885 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 112kB
18. 1.742 3.236 ↓ 1.0 885 1

Hash Join (cost=4.61..51.58 rows=883 width=150) (actual time=0.360..3.236 rows=885 loops=1)

  • Hash Cond: (especialidades.id_area = areas.id_areas)
19. 1.156 1.156 ↓ 1.0 885 1

Seq Scan on especialidades (cost=0.00..34.83 rows=883 width=116) (actual time=0.008..1.156 rows=885 loops=1)

20. 0.079 0.338 ↑ 1.0 57 1

Hash (cost=3.89..3.89 rows=57 width=42) (actual time=0.338..0.338 rows=57 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 5kB
21. 0.148 0.259 ↑ 1.0 57 1

Hash Join (cost=1.54..3.89 rows=57 width=42) (actual time=0.086..0.259 rows=57 loops=1)

  • Hash Cond: (areas.id_familia_profesional = programas_formacion_familias.id_prog_formacion)
22. 0.051 0.051 ↑ 1.0 57 1

Seq Scan on areas (cost=0.00..1.57 rows=57 width=25) (actual time=0.004..0.051 rows=57 loops=1)

23. 0.035 0.060 ↑ 1.0 24 1

Hash (cost=1.24..1.24 rows=24 width=29) (actual time=0.060..0.060 rows=24 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 2kB
24. 0.025 0.025 ↑ 1.0 24 1

Seq Scan on programas_formacion_familias (cost=0.00..1.24 rows=24 width=29) (actual time=0.004..0.025 rows=24 loops=1)

25. 0.005 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. 0.008 0.008 ↑ 1.0 4 1

Seq Scan on estado_planificacion (cost=0.00..1.04 rows=4 width=4) (actual time=0.004..0.008 rows=4 loops=1)

27. 0.101 0.199 ↑ 1.0 95 1

Hash (cost=2.95..2.95 rows=95 width=22) (actual time=0.199..0.199 rows=95 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 6kB
28. 0.098 0.098 ↑ 1.0 95 1

Seq Scan on unidad_operativa (cost=0.00..2.95 rows=95 width=22) (actual time=0.004..0.098 rows=95 loops=1)

29. 4.205 7.574 ↓ 1.0 3,027 1

Hash (cost=88.94..88.94 rows=2,994 width=95) (actual time=7.574..7.574 rows=3,027 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 383kB
30. 3.369 3.369 ↓ 1.0 3,027 1

Seq Scan on ubicacion (cost=0.00..88.94 rows=2,994 width=95) (actual time=0.006..3.369 rows=3,027 loops=1)

31. 2.335 4.463 ↑ 1.1 2,081 1

Hash (cost=36.24..36.24 rows=2,224 width=20) (actual time=4.463..4.463 rows=2,081 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 109kB
32. 2.128 2.128 ↑ 1.1 2,081 1

Seq Scan on barrio (cost=0.00..36.24 rows=2,224 width=20) (actual time=0.008..2.128 rows=2,081 loops=1)

33. 0.310 1.087 ↑ 1.0 254 1

Hash (cost=12.44..12.44 rows=254 width=51) (actual time=1.087..1.087 rows=254 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 21kB
34. 0.499 0.777 ↑ 1.0 254 1

Hash Left Join (cost=1.41..12.44 rows=254 width=51) (actual time=0.073..0.777 rows=254 loops=1)

  • Hash Cond: (city.distrito_id = distritos.id)
35. 0.233 0.233 ↑ 1.0 254 1

Seq Scan on city (cost=0.00..7.54 rows=254 width=48) (actual time=0.006..0.233 rows=254 loops=1)

36. 0.026 0.045 ↑ 1.0 18 1

Hash (cost=1.18..1.18 rows=18 width=19) (actual time=0.045..0.045 rows=18 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 1kB
37. 0.019 0.019 ↑ 1.0 18 1

Seq Scan on distritos (cost=0.00..1.18 rows=18 width=19) (actual time=0.004..0.019 rows=18 loops=1)

38.          

SubPlan (forHash Left Join)

39. 45.378 173.949 ↑ 1.0 1 2,521

Aggregate (cost=67.19..67.20 rows=1 width=8) (actual time=0.069..0.069 rows=1 loops=2,521)

40. 103.361 128.571 ↑ 1.6 16 2,521

Bitmap Heap Scan on inscripcion_alumno insxx (cost=2.28..67.13 rows=26 width=8) (actual time=0.019..0.051 rows=16 loops=2,521)

  • Recheck Cond: (id_planificacion = planificacion.id_planificacion)
  • Filter: (estado_inscripcion = 1)
  • Rows Removed by Filter: 8
41. 25.210 25.210 ↑ 1.5 24 2,521

Bitmap Index Scan on inscripcion_alumno_id_planificacion_idx (cost=0.00..2.27 rows=36 width=0) (actual time=0.010..0.010 rows=24 loops=2,521)

  • Index Cond: (id_planificacion = planificacion.id_planificacion)