explain.depesz.com

PostgreSQL's explain analyze made readable

Result: kZvr

Settings
# exclusive inclusive rows x rows loops node
1. 30.726 515.703 ↑ 1.0 2,521 1

Hash Left Join (cost=911.23..170,932.06 rows=2,524 width=377) (actual time=112.141..515.703 rows=2,521 loops=1)

  • Hash Cond: (barrio.cod_city = city.id)
2. 8.780 163.682 ↑ 1.0 2,521 1

Hash Left Join (cost=895.62..1,227.68 rows=2,524 width=334) (actual time=110.724..163.682 rows=2,521 loops=1)

  • Hash Cond: (ubicacion.id_barrio = barrio.id_barrio)
3. 13.037 150.580 ↑ 1.0 2,521 1

Hash Left Join (cost=831.58..1,125.78 rows=2,524 width=320) (actual time=106.361..150.580 rows=2,521 loops=1)

  • Hash Cond: (planificacion.id_ubicacion = ubicacion.id_ubicacion)
4. 20.208 129.732 ↑ 1.0 2,521 1

Hash Join (cost=705.22..975.15 rows=2,524 width=233) (actual time=98.511..129.732 rows=2,521 loops=1)

  • Hash Cond: (periodo.id_planificacion = planificacion.id_planificacion)
5. 11.118 11.118 ↑ 1.0 9,913 1

Seq Scan on periodo (cost=0.00..195.13 rows=9,913 width=36) (actual time=0.013..11.118 rows=9,913 loops=1)

6. 13.574 98.406 ↑ 1.0 2,521 1

Hash (cost=673.67..673.67 rows=2,524 width=201) (actual time=98.406..98.406 rows=2,521 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 440kB
7. 5.615 84.832 ↑ 1.0 2,521 1

Hash Join (cost=170.51..673.67 rows=2,524 width=201) (actual time=17.939..84.832 rows=2,521 loops=1)

  • Hash Cond: (planificacion.id_unidad_operativa = unidad_operativa.id_unidad_operativa)
8. 9.832 79.022 ↑ 1.0 2,521 1

Nested Loop (cost=166.37..634.82 rows=2,524 width=185) (actual time=17.721..79.022 rows=2,521 loops=1)

9. 0.010 0.010 ↑ 1.0 1 1

Seq Scan on sub_estado (cost=0.00..1.04 rows=1 width=4) (actual time=0.006..0.010 rows=1 loops=1)

  • Filter: (id_subestado = 2)
  • Rows Removed by Filter: 2
10. 7.743 69.180 ↑ 1.0 2,521 1

Hash Join (cost=166.37..608.55 rows=2,524 width=189) (actual time=17.706..69.180 rows=2,521 loops=1)

  • Hash Cond: (planificacion.id_estado = estado_planificacion.id_estado)
11. 13.040 61.423 ↑ 1.0 2,521 1

Hash Join (cost=165.28..572.75 rows=2,524 width=193) (actual time=17.670..61.423 rows=2,521 loops=1)

  • Hash Cond: (planificacion.id_especialiadad = especialidades.id_especialidades)
12. 13.137 33.432 ↑ 1.0 2,524 1

Hash Join (cost=102.67..475.42 rows=2,527 width=51) (actual time=2.690..33.432 rows=2,524 loops=1)

  • Hash Cond: (planificacion.id_modalidad = modalidad.id_modalidad)
13. 17.717 20.282 ↑ 1.0 2,534 1

Bitmap Heap Scan on planificacion (cost=101.62..439.58 rows=2,540 width=44) (actual time=2.635..20.282 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. 2.565 2.565 ↑ 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=2.565..2.565 rows=2,798 loops=1)

  • Index Cond: (id_subestado = 2)
15. 0.006 0.013 ↑ 1.0 2 1

Hash (cost=1.02..1.02 rows=2 width=15) (actual time=0.013..0.013 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. 3.500 14.951 ↓ 1.0 885 1

Hash (cost=51.58..51.58 rows=883 width=150) (actual time=14.951..14.951 rows=885 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 112kB
18. 6.215 11.451 ↓ 1.0 885 1

Hash Join (cost=4.61..51.58 rows=883 width=150) (actual time=2.541..11.451 rows=885 loops=1)

  • Hash Cond: (especialidades.id_area = areas.id_areas)
19. 2.730 2.730 ↓ 1.0 885 1

Seq Scan on especialidades (cost=0.00..34.83 rows=883 width=116) (actual time=0.009..2.730 rows=885 loops=1)

20. 2.247 2.506 ↑ 1.0 57 1

Hash (cost=3.89..3.89 rows=57 width=42) (actual time=2.506..2.506 rows=57 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 5kB
21. 0.146 0.259 ↑ 1.0 57 1

Hash Join (cost=1.54..3.89 rows=57 width=42) (actual time=0.080..0.259 rows=57 loops=1)

  • Hash Cond: (areas.id_familia_profesional = programas_formacion_familias.id_prog_formacion)
22. 0.059 0.059 ↑ 1.0 57 1

Seq Scan on areas (cost=0.00..1.57 rows=57 width=25) (actual time=0.004..0.059 rows=57 loops=1)

23. 0.029 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. 0.025 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 0.014 ↑ 1.0 4 1

Hash (cost=1.04..1.04 rows=4 width=4) (actual time=0.014..0.014 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=0.005..0.009 rows=4 loops=1)

27. 0.105 0.195 ↑ 1.0 95 1

Hash (cost=2.95..2.95 rows=95 width=22) (actual time=0.195..0.195 rows=95 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 6kB
28. 0.090 0.090 ↑ 1.0 95 1

Seq Scan on unidad_operativa (cost=0.00..2.95 rows=95 width=22) (actual time=0.006..0.090 rows=95 loops=1)

29. 4.506 7.811 ↓ 1.0 3,026 1

Hash (cost=88.94..88.94 rows=2,994 width=95) (actual time=7.811..7.811 rows=3,026 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 383kB
30. 3.305 3.305 ↓ 1.0 3,026 1

Seq Scan on ubicacion (cost=0.00..88.94 rows=2,994 width=95) (actual time=0.007..3.305 rows=3,026 loops=1)

31. 2.362 4.322 ↑ 1.1 2,080 1

Hash (cost=36.24..36.24 rows=2,224 width=20) (actual time=4.322..4.322 rows=2,080 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 109kB
32. 1.960 1.960 ↑ 1.1 2,080 1

Seq Scan on barrio (cost=0.00..36.24 rows=2,224 width=20) (actual time=0.009..1.960 rows=2,080 loops=1)

33. 0.351 1.128 ↑ 1.0 254 1

Hash (cost=12.44..12.44 rows=254 width=51) (actual time=1.128..1.128 rows=254 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 21kB
34. 0.508 0.777 ↑ 1.0 254 1

Hash Left Join (cost=1.41..12.44 rows=254 width=51) (actual time=0.086..0.777 rows=254 loops=1)

  • Hash Cond: (city.distrito_id = distritos.id)
35. 0.221 0.221 ↑ 1.0 254 1

Seq Scan on city (cost=0.00..7.54 rows=254 width=48) (actual time=0.009..0.221 rows=254 loops=1)

36. 0.024 0.048 ↑ 1.0 18 1

Hash (cost=1.18..1.18 rows=18 width=19) (actual time=0.048..0.048 rows=18 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 1kB
37. 0.024 0.024 ↑ 1.0 18 1

Seq Scan on distritos (cost=0.00..1.18 rows=18 width=19) (actual time=0.005..0.024 rows=18 loops=1)

38.          

SubPlan (forHash Left Join)

39. 60.504 320.167 ↑ 1.0 1 2,521

Aggregate (cost=67.19..67.20 rows=1 width=8) (actual time=0.126..0.127 rows=1 loops=2,521)

40. 211.764 259.663 ↑ 1.6 16 2,521

Bitmap Heap Scan on inscripcion_alumno insxx (cost=2.28..67.13 rows=26 width=8) (actual time=0.035..0.103 rows=16 loops=2,521)

  • Recheck Cond: (id_planificacion = planificacion.id_planificacion)
  • Filter: (estado_inscripcion = 1)
  • Rows Removed by Filter: 8
41. 47.899 47.899 ↑ 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=0.019..0.019 rows=24 loops=2,521)

  • Index Cond: (id_planificacion = planificacion.id_planificacion)