explain.depesz.com

PostgreSQL's explain analyze made readable

Result: F10U : Optimization for: Optimization for: Optimization for: Optimization for: Optimization for: Optimization for: plan #n2L3; plan #GZUh; plan #4Qpx; plan #MmqD; plan #npE5; plan #CDiH

Settings

Optimization path:

Optimization(s) for this plan:

# exclusive inclusive rows x rows loops node
1. 71.552 9,104.545 ↑ 1.0 2,514 1

Hash Left Join (cost=946.92..3,520,404.45 rows=2,523 width=377) (actual time=54.002..9,104.545 rows=2,514 loops=1)

  • Hash Cond: (barrio.cod_city = city.id)
2. 13.567 127.389 ↑ 1.0 2,514 1

Hash Left Join (cost=931.31..1,263.26 rows=2,523 width=334) (actual time=49.632..127.389 rows=2,514 loops=1)

  • Hash Cond: (ubicacion.id_barrio = barrio.id_barrio)
3. 16.146 109.894 ↑ 1.0 2,514 1

Hash Left Join (cost=872.16..1,166.26 rows=2,523 width=320) (actual time=45.668..109.894 rows=2,514 loops=1)

  • Hash Cond: (planificacion.id_ubicacion = ubicacion.id_ubicacion)
4. 34.018 86.759 ↑ 1.0 2,514 1

Hash Join (cost=745.80..1,015.71 rows=2,523 width=233) (actual time=38.645..86.759 rows=2,514 loops=1)

  • Hash Cond: (periodo.id_planificacion = planificacion.id_planificacion)
5. 14.192 14.192 ↑ 1.0 9,912 1

Seq Scan on periodo (cost=0.00..195.12 rows=9,912 width=36) (actual time=0.006..14.192 rows=9,912 loops=1)

6. 4.237 38.549 ↑ 1.0 2,514 1

Hash (cost=714.26..714.26 rows=2,523 width=201) (actual time=38.549..38.549 rows=2,514 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 438kB
7. 4.780 34.312 ↑ 1.0 2,514 1

Hash Join (cost=68.89..714.26 rows=2,523 width=201) (actual time=4.397..34.312 rows=2,514 loops=1)

  • Hash Cond: (planificacion.id_unidad_operativa = unidad_operativa.id_unidad_operativa)
8. 3.868 29.300 ↑ 1.0 2,514 1

Nested Loop (cost=64.75..675.43 rows=2,523 width=185) (actual time=4.142..29.300 rows=2,514 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=0.007..0.011 rows=1 loops=1)

  • Filter: (id_subestado = 2)
  • Rows Removed by Filter: 2
10. 4.317 25.421 ↑ 1.0 2,514 1

Hash Join (cost=64.75..649.17 rows=2,523 width=189) (actual time=4.128..25.421 rows=2,514 loops=1)

  • Hash Cond: (planificacion.id_estado = estado_planificacion.id_estado)
11. 5.136 21.091 ↑ 1.0 2,514 1

Hash Join (cost=63.66..613.38 rows=2,523 width=193) (actual time=4.092..21.091 rows=2,514 loops=1)

  • Hash Cond: (planificacion.id_especialiadad = especialidades.id_especialidades)
12. 4.480 11.924 ↑ 1.0 2,517 1

Hash Join (cost=1.04..516.07 rows=2,526 width=51) (actual time=0.037..11.924 rows=2,517 loops=1)

  • Hash Cond: (planificacion.id_modalidad = modalidad.id_modalidad)
13. 7.435 7.435 ↑ 1.0 2,527 1

Seq Scan on planificacion (cost=0.00..480.24 rows=2,539 width=44) (actual time=0.008..7.435 rows=2,527 loops=1)

  • Filter: ((id_subestado = 2) AND (id_tipo_insc = 1) AND ((id_estado = 2) OR (id_estado = 3)))
  • Rows Removed by Filter: 7385
14. 0.005 0.009 ↑ 1.0 2 1

Hash (cost=1.02..1.02 rows=2 width=15) (actual time=0.009..0.009 rows=2 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 1kB
15. 0.004 0.004 ↑ 1.0 2 1

Seq Scan on modalidad (cost=0.00..1.02 rows=2 width=15) (actual time=0.003..0.004 rows=2 loops=1)

16. 1.165 4.031 ↓ 1.0 885 1

Hash (cost=51.58..51.58 rows=883 width=150) (actual time=4.031..4.031 rows=885 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 112kB
17. 1.578 2.866 ↓ 1.0 885 1

Hash Join (cost=4.61..51.58 rows=883 width=150) (actual time=0.302..2.866 rows=885 loops=1)

  • Hash Cond: (especialidades.id_area = areas.id_areas)
18. 1.016 1.016 ↓ 1.0 885 1

Seq Scan on especialidades (cost=0.00..34.83 rows=883 width=116) (actual time=0.008..1.016 rows=885 loops=1)

19. 0.057 0.272 ↑ 1.0 57 1

Hash (cost=3.89..3.89 rows=57 width=42) (actual time=0.272..0.272 rows=57 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 5kB
20. 0.119 0.215 ↑ 1.0 57 1

Hash Join (cost=1.54..3.89 rows=57 width=42) (actual time=0.077..0.215 rows=57 loops=1)

  • Hash Cond: (areas.id_familia_profesional = programas_formacion_familias.id_prog_formacion)
21. 0.046 0.046 ↑ 1.0 57 1

Seq Scan on areas (cost=0.00..1.57 rows=57 width=25) (actual time=0.004..0.046 rows=57 loops=1)

22. 0.028 0.050 ↑ 1.0 24 1

Hash (cost=1.24..1.24 rows=24 width=29) (actual time=0.050..0.050 rows=24 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 2kB
23. 0.022 0.022 ↑ 1.0 24 1

Seq Scan on programas_formacion_familias (cost=0.00..1.24 rows=24 width=29) (actual time=0.003..0.022 rows=24 loops=1)

24. 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
25. 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)

26. 0.108 0.232 ↑ 1.0 95 1

Hash (cost=2.95..2.95 rows=95 width=22) (actual time=0.232..0.232 rows=95 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 6kB
27. 0.124 0.124 ↑ 1.0 95 1

Seq Scan on unidad_operativa (cost=0.00..2.95 rows=95 width=22) (actual time=0.018..0.124 rows=95 loops=1)

28. 3.698 6.989 ↓ 1.0 2,997 1

Hash (cost=88.94..88.94 rows=2,994 width=95) (actual time=6.989..6.989 rows=2,997 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 379kB
29. 3.291 3.291 ↓ 1.0 2,997 1

Seq Scan on ubicacion (cost=0.00..88.94 rows=2,994 width=95) (actual time=0.007..3.291 rows=2,997 loops=1)

30. 2.102 3.928 ↑ 1.0 2,051 1

Hash (cost=33.51..33.51 rows=2,051 width=20) (actual time=3.928..3.928 rows=2,051 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 107kB
31. 1.826 1.826 ↑ 1.0 2,051 1

Seq Scan on barrio (cost=0.00..33.51 rows=2,051 width=20) (actual time=0.008..1.826 rows=2,051 loops=1)

32. 0.278 1.016 ↑ 1.0 254 1

Hash (cost=12.44..12.44 rows=254 width=51) (actual time=1.016..1.016 rows=254 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 21kB
33. 0.482 0.738 ↑ 1.0 254 1

Hash Left Join (cost=1.41..12.44 rows=254 width=51) (actual time=0.073..0.738 rows=254 loops=1)

  • Hash Cond: (city.distrito_id = distritos.id)
34. 0.213 0.213 ↑ 1.0 254 1

Seq Scan on city (cost=0.00..7.54 rows=254 width=48) (actual time=0.006..0.213 rows=254 loops=1)

35. 0.021 0.043 ↑ 1.0 18 1

Hash (cost=1.18..1.18 rows=18 width=19) (actual time=0.043..0.043 rows=18 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 1kB
36. 0.022 0.022 ↑ 1.0 18 1

Seq Scan on distritos (cost=0.00..1.18 rows=18 width=19) (actual time=0.005..0.022 rows=18 loops=1)

37.          

SubPlan (forHash Left Join)

38. 62.850 8,904.588 ↑ 1.0 1 2,514

Aggregate (cost=1,394.78..1,394.79 rows=1 width=8) (actual time=3.541..3.542 rows=1 loops=2,514)

39. 8,841.738 8,841.738 ↑ 1.6 16 2,514

Index Scan using inscripcion_alumno_id_alumno_id_planificacion_idx on inscripcion_alumno insxx (cost=0.42..1,394.72 rows=25 width=8) (actual time=1.451..3.517 rows=16 loops=2,514)

  • Index Cond: (id_planificacion = planificacion.id_planificacion)
  • Filter: (estado_inscripcion = 1)
  • Rows Removed by Filter: 8