explain.depesz.com

PostgreSQL's explain analyze made readable

Result: 2nlU : Optimization for: plan #LVfZ

Settings

Optimization path:

# exclusive inclusive rows x rows loops node
1. 1.685 1,343.284 ↑ 1.0 1,000 1

Limit (cost=0.86..8,223,041.01 rows=1,000 width=635) (actual time=0.443..1,343.284 rows=1,000 loops=1)

2. 2.759 1,341.599 ↑ 53.2 1,000 1

Append (cost=0.86..437,062,807.92 rows=53,151 width=635) (actual time=0.441..1,341.599 rows=1,000 loops=1)

3. 33.795 1,338.840 ↑ 52.4 1,000 1

Nested Loop Left Join (cost=0.86..431,022,364.03 rows=52,417 width=469) (actual time=0.440..1,338.840 rows=1,000 loops=1)

4. 6.706 218.045 ↑ 52.4 1,000 1

Nested Loop Left Join (cost=0.86..49,070.92 rows=52,417 width=449) (actual time=0.197..218.045 rows=1,000 loops=1)

  • Join Filter: (empresas_sucursales.type = empresas_sucursales_types.id)
5. 20.916 209.339 ↑ 52.4 1,000 1

Nested Loop Left Join (cost=0.86..48,283.63 rows=52,417 width=442) (actual time=0.127..209.339 rows=1,000 loops=1)

6. 5.873 146.423 ↑ 52.4 1,000 1

Nested Loop Left Join (cost=0.86..46,812.16 rows=52,417 width=388) (actual time=0.110..146.423 rows=1,000 loops=1)

7. 13.417 130.550 ↑ 52.4 1,000 1

Nested Loop Left Join (cost=0.72..38,157.36 rows=52,417 width=377) (actual time=0.098..130.550 rows=1,000 loops=1)

8. 6.919 95.133 ↑ 52.4 1,000 1

Nested Loop Left Join (cost=0.58..29,097.42 rows=52,417 width=341) (actual time=0.082..95.133 rows=1,000 loops=1)

9. 11.865 69.214 ↑ 52.4 1,000 1

Nested Loop Left Join (cost=0.58..27,645.92 rows=52,417 width=327) (actual time=0.067..69.214 rows=1,000 loops=1)

10. 4.891 28.349 ↑ 52.4 1,000 1

Nested Loop (cost=0.58..26,194.41 rows=52,417 width=312) (actual time=0.045..28.349 rows=1,000 loops=1)

11. 8.458 8.458 ↑ 52.4 1,000 1

Index Scan Backward using empresas_sucursales_nro_patronal_key on empresas_sucursales (cost=0.29..5,658.86 rows=52,420 width=239) (actual time=0.021..8.458 rows=1,000 loops=1)

  • Filter: (type = 1)
  • Rows Removed by Filter: 149
12. 15.000 15.000 ↑ 1.0 1 1,000

Index Scan using empresas_pk on empresas emp (cost=0.29..0.38 rows=1 width=81) (actual time=0.014..0.015 rows=1 loops=1,000)

  • Index Cond: (id = empresas_sucursales.empresa_id)
  • Filter: (((document)::text <> '0'::text) AND ((document)::text <> ''::text) AND ((document)::text <> '-'::text))
13. 29.000 29.000 ↑ 1.0 1 1,000

Index Scan using empresas_types_id_idx on empresas_types (cost=0.00..0.02 rows=1 width=23) (actual time=0.027..0.029 rows=1 loops=1,000)

  • Index Cond: (emp.type = id)
14. 19.000 19.000 ↑ 1.0 1 1,000

Index Scan using empresas_categorias_id_categoria_empresa_idx on empresas_categorias (cost=0.00..0.02 rows=1 width=18) (actual time=0.016..0.019 rows=1 loops=1,000)

  • Index Cond: (emp.id_categoria_empresa = id_categoria_empresa)
15. 22.000 22.000 ↑ 1.0 1 1,000

Index Scan using city_id_distrito_id_idx on city (cost=0.14..0.16 rows=1 width=40) (actual time=0.017..0.022 rows=1 loops=1,000)

  • Index Cond: (empresas_sucursales.city_id = id)
16. 10.000 10.000 ↑ 1.0 1 1,000

Index Scan using distritos_pkey on distritos (cost=0.14..0.16 rows=1 width=19) (actual time=0.007..0.010 rows=1 loops=1,000)

  • Index Cond: (empresas_sucursales.distrito_id = id)
17. 42.000 42.000 ↑ 1.0 1 1,000

Index Scan using actividad_econ_id_activ_econ_idx on actividad_econ (cost=0.00..0.02 rows=1 width=58) (actual time=0.041..0.042 rows=1 loops=1,000)

  • Index Cond: (empresas_sucursales.id_activ_econ = id_activ_econ)
18. 1.993 2.000 ↑ 1.0 1 1,000

Materialize (cost=0.00..1.04 rows=1 width=23) (actual time=0.001..0.002 rows=1 loops=1,000)

19. 0.007 0.007 ↑ 1.0 1 1

Seq Scan on empresas_sucursales_types (cost=0.00..1.04 rows=1 width=23) (actual time=0.005..0.007 rows=1 loops=1)

  • Filter: (id = 1)
  • Rows Removed by Filter: 2
20. 50.000 50.000 ↑ 1.0 1 1,000

Index Scan using empresas_tipo_inscripcion_id_tipo_inscripcion_idx on empresas_tipo_inscripcion (cost=0.00..0.02 rows=1 width=24) (actual time=0.047..0.050 rows=1 loops=1,000)

  • Index Cond: (empresas_sucursales.id_tipo_inscripcion = id_tipo_inscripcion)
21.          

SubPlan (forNested Loop Left Join)

22. 5.000 296.000 ↑ 1.0 1 1,000

Aggregate (cost=1,944.02..1,944.03 rows=1 width=8) (actual time=0.295..0.296 rows=1 loops=1,000)

23. 9.000 291.000 ↑ 60.0 1 1,000

Nested Loop (cost=0.72..1,943.87 rows=60 width=8) (actual time=0.111..0.291 rows=1 loops=1,000)

24. 14.000 14.000 ↑ 1.0 1 1,000

Index Only Scan using empresas_sucursales_nro_patronal_key on empresas_sucursales es (cost=0.29..2.31 rows=1 width=4) (actual time=0.013..0.014 rows=1 loops=1,000)

  • Index Cond: (nro_patronal = empresas_sucursales.nro_patronal)
  • Heap Fetches: 26
25. 70.112 268.000 ↑ 60.0 1 1,000

Index Scan using empleados_npatronal_idx on empleados (cost=0.43..1,940.96 rows=60 width=24) (actual time=0.092..0.268 rows=1 loops=1,000)

  • Index Cond: (npatronal = empresas_sucursales.nro_patronal)
  • Filter: (SubPlan 2)
  • Rows Removed by Filter: 0
26.          

SubPlan (forIndex Scan)

27. 4.638 197.888 ↑ 1.0 1 1,546

Limit (cost=14.14..14.14 rows=1 width=20) (actual time=0.128..0.128 rows=1 loops=1,546)

28. 10.822 193.250 ↑ 1.0 1 1,546

Sort (cost=14.14..14.14 rows=1 width=20) (actual time=0.125..0.125 rows=1 loops=1,546)

  • Sort Key: empleados_movimientos.fecha, empleados_movimientos.id
  • Sort Method: quicksort Memory: 25kB
29. 10.822 182.428 ↑ 1.0 1 1,546

Result (cost=0.43..14.13 rows=1 width=20) (actual time=0.106..0.118 rows=1 loops=1,546)

  • One-Time Filter: (empleados.empresa_id = emp.id)
30. 103.006 171.606 ↑ 1.0 1 1,546

Index Scan using empleados_movimientos_empleado_id_tipo_fecha_key on empleados_movimientos (cost=0.43..14.12 rows=1 width=20) (actual time=0.102..0.111 rows=1 loops=1,546)

  • Index Cond: (empleado_id = empleados.id)
  • Filter: (NOT (SubPlan 1))
  • Rows Removed by Filter: 0
31.          

SubPlan (forIndex Scan)

32. 68.600 68.600 ↓ 0.0 0 1,715

Index Scan using multas_id_registro_multado_idx on multas (cost=0.00..4.02 rows=1 width=8) (actual time=0.040..0.040 rows=0 loops=1,715)

  • Index Cond: (id_registro_multado = empleados_movimientos.id)
  • Filter: ((estado IS NULL) AND (idtipo_multa = 11))
  • Rows Removed by Filter: 0
33. 15.000 133.000 ↑ 1.0 1 1,000

Aggregate (cost=2,087.29..2,087.32 rows=1 width=16) (actual time=0.132..0.133 rows=1 loops=1,000)

34. 37.216 118.000 ↑ 74.0 1 1,000

Index Only Scan using empleados_empresa_id_id_idx on empleados emplea (cost=0.43..2,085.81 rows=74 width=16) (actual time=0.045..0.118 rows=1 loops=1,000)

  • Index Cond: (empresa_id = emp.id)
  • Filter: (SubPlan 5)
  • Rows Removed by Filter: 0
  • Heap Fetches: 16
35.          

SubPlan (forIndex Only Scan)

36. 4.752 80.784 ↑ 1.0 1 1,584

Limit (cost=14.14..14.14 rows=1 width=20) (actual time=0.051..0.051 rows=1 loops=1,584)

37. 9.504 76.032 ↑ 1.0 1 1,584

Sort (cost=14.14..14.14 rows=1 width=20) (actual time=0.048..0.048 rows=1 loops=1,584)

  • Sort Key: empleados_movimientos_1.fecha, empleados_movimientos_1.id
  • Sort Method: quicksort Memory: 25kB
38. 34.938 66.528 ↑ 1.0 1 1,584

Index Scan using empleados_movimientos_empleado_id_tipo_fecha_key on empleados_movimientos empleados_movimientos_1 (cost=0.43..14.13 rows=1 width=20) (actual time=0.040..0.042 rows=1 loops=1,584)

  • Index Cond: (empleado_id = emplea.id)
  • Filter: (NOT (SubPlan 4))
  • Rows Removed by Filter: 0
39.          

SubPlan (forIndex Scan)

40. 31.590 31.590 ↓ 0.0 0 1,755

Index Scan using multas_id_registro_multado_idx on multas multas_1 (cost=0.00..4.02 rows=1 width=8) (actual time=0.018..0.018 rows=0 loops=1,755)

  • Index Cond: (id_registro_multado = empleados_movimientos_1.id)
  • Filter: ((estado IS NULL) AND (idtipo_multa = 11))
  • Rows Removed by Filter: 0
41. 4.000 334.000 ↑ 1.0 1 1,000

Aggregate (cost=2,091.55..2,091.56 rows=1 width=8) (actual time=0.334..0.334 rows=1 loops=1,000)

42. 6.000 330.000 ↑ 31.0 1 1,000

Nested Loop (cost=1.15..2,091.48 rows=31 width=8) (actual time=0.149..0.330 rows=1 loops=1,000)

43. 13.000 13.000 ↑ 1.0 1 1,000

Index Only Scan using empresas_sucursales_nro_patronal_key on empresas_sucursales es_1 (cost=0.29..2.31 rows=1 width=4) (actual time=0.012..0.013 rows=1 loops=1,000)

  • Index Cond: (nro_patronal = empresas_sucursales.nro_patronal)
  • Heap Fetches: 26
44. 19.491 311.000 ↑ 31.0 1 1,000

Nested Loop (cost=0.86..2,088.86 rows=31 width=16) (actual time=0.133..0.311 rows=1 loops=1,000)

45. 60.424 147.000 ↑ 60.0 1 1,000

Index Scan using empleados_npatronal_idx on empleados empleados_1 (cost=0.43..1,940.96 rows=60 width=24) (actual time=0.049..0.147 rows=1 loops=1,000)

  • Index Cond: (npatronal = empresas_sucursales.nro_patronal)
  • Filter: (SubPlan 8)
  • Rows Removed by Filter: 0
46.          

SubPlan (forIndex Scan)

47. 4.638 86.576 ↑ 1.0 1 1,546

Limit (cost=14.14..14.14 rows=1 width=20) (actual time=0.056..0.056 rows=1 loops=1,546)

48. 10.822 81.938 ↑ 1.0 1 1,546

Sort (cost=14.14..14.14 rows=1 width=20) (actual time=0.053..0.053 rows=1 loops=1,546)

  • Sort Key: empleados_movimientos_2.fecha, empleados_movimientos_2.id
  • Sort Method: quicksort Memory: 25kB
49. 20.098 71.116 ↑ 1.0 1 1,546

Result (cost=0.43..14.13 rows=1 width=20) (actual time=0.034..0.046 rows=1 loops=1,546)

  • One-Time Filter: (empleados_1.empresa_id = emp.id)
50. 39.013 51.018 ↑ 1.0 1 1,546

Index Scan using empleados_movimientos_empleado_id_tipo_fecha_key on empleados_movimientos empleados_movimientos_2 (cost=0.43..14.12 rows=1 width=20) (actual time=0.022..0.033 rows=1 loops=1,546)

  • Index Cond: (empleado_id = empleados_1.id)
  • Filter: (NOT (SubPlan 7))
  • Rows Removed by Filter: 0
51.          

SubPlan (forIndex Scan)

52. 12.005 12.005 ↓ 0.0 0 1,715

Index Scan using multas_id_registro_multado_idx on multas multas_2 (cost=0.00..4.02 rows=1 width=8) (actual time=0.007..0.007 rows=0 loops=1,715)

  • Index Cond: (id_registro_multado = empleados_movimientos_2.id)
  • Filter: ((estado IS NULL) AND (idtipo_multa = 11))
  • Rows Removed by Filter: 0
53. 144.509 144.509 ↑ 1.0 1 1,403

Index Only Scan using persons_id_sexo_idx on persons (cost=0.43..2.46 rows=1 width=8) (actual time=0.102..0.103 rows=1 loops=1,403)

  • Index Cond: ((id = empleados_1.persona_id) AND (sexo = 'M'::text))
  • Heap Fetches: 16
54. 13.000 219.000 ↑ 1.0 1 1,000

Aggregate (cost=2,091.53..2,091.54 rows=1 width=8) (actual time=0.219..0.219 rows=1 loops=1,000)

55. 5.000 206.000 ↓ 0.0 0 1,000

Nested Loop (cost=1.15..2,091.46 rows=29 width=8) (actual time=0.104..0.206 rows=0 loops=1,000)

56. 15.000 15.000 ↑ 1.0 1 1,000

Index Only Scan using empresas_sucursales_nro_patronal_key on empresas_sucursales es_2 (cost=0.29..2.31 rows=1 width=4) (actual time=0.014..0.015 rows=1 loops=1,000)

  • Index Cond: (nro_patronal = empresas_sucursales.nro_patronal)
  • Heap Fetches: 26
57. 6.761 186.000 ↓ 0.0 0 1,000

Nested Loop (cost=0.86..2,088.86 rows=29 width=16) (actual time=0.085..0.186 rows=0 loops=1,000)

58. 28.044 161.000 ↑ 60.0 1 1,000

Index Scan using empleados_npatronal_idx on empleados empleados_2 (cost=0.43..1,940.96 rows=60 width=24) (actual time=0.033..0.161 rows=1 loops=1,000)

  • Index Cond: (npatronal = empresas_sucursales.nro_patronal)
  • Filter: (SubPlan 11)
  • Rows Removed by Filter: 0
59.          

SubPlan (forIndex Scan)

60. 4.638 132.956 ↑ 1.0 1 1,546

Limit (cost=14.14..14.14 rows=1 width=20) (actual time=0.086..0.086 rows=1 loops=1,546)

61. 17.006 128.318 ↑ 1.0 1 1,546

Sort (cost=14.14..14.14 rows=1 width=20) (actual time=0.083..0.083 rows=1 loops=1,546)

  • Sort Key: empleados_movimientos_3.fecha, empleados_movimientos_3.id
  • Sort Method: quicksort Memory: 25kB
62. 13.914 111.312 ↑ 1.0 1 1,546

Result (cost=0.43..14.13 rows=1 width=20) (actual time=0.061..0.072 rows=1 loops=1,546)

  • One-Time Filter: (empleados_2.empresa_id = emp.id)
63. 81.963 97.398 ↑ 1.0 1 1,546

Index Scan using empleados_movimientos_empleado_id_tipo_fecha_key on empleados_movimientos empleados_movimientos_3 (cost=0.43..14.12 rows=1 width=20) (actual time=0.057..0.063 rows=1 loops=1,546)

  • Index Cond: (empleado_id = empleados_2.id)
  • Filter: (NOT (SubPlan 10))
  • Rows Removed by Filter: 0
64.          

SubPlan (forIndex Scan)

65. 15.435 15.435 ↓ 0.0 0 1,715

Index Scan using multas_id_registro_multado_idx on multas multas_3 (cost=0.00..4.02 rows=1 width=8) (actual time=0.009..0.009 rows=0 loops=1,715)

  • Index Cond: (id_registro_multado = empleados_movimientos_3.id)
  • Filter: ((estado IS NULL) AND (idtipo_multa = 11))
  • Rows Removed by Filter: 0
66. 18.239 18.239 ↓ 0.0 0 1,403

Index Only Scan using persons_id_sexo_idx on persons persons_1 (cost=0.43..2.46 rows=1 width=8) (actual time=0.012..0.013 rows=0 loops=1,403)

  • Index Cond: ((id = empleados_2.persona_id) AND (sexo = 'F'::text))
  • Heap Fetches: 1
67. 3.000 55.000 ↑ 1.0 1 1,000

Limit (cost=7.53..7.53 rows=1 width=27) (actual time=0.054..0.055 rows=1 loops=1,000)

68. 7.000 52.000 ↑ 2.0 1 1,000

Sort (cost=7.53..7.53 rows=2 width=27) (actual time=0.052..0.052 rows=1 loops=1,000)

  • Sort Key: cambio_situacion_empresa.fecha_creacion, cambio_situacion_empresa.id_cambio_situacion_empresa
  • Sort Method: quicksort Memory: 25kB
69. 5.976 45.000 ↑ 2.0 1 1,000

Hash Join (cost=1.57..7.52 rows=2 width=27) (actual time=0.042..0.045 rows=1 loops=1,000)

  • Hash Cond: (cambio_situacion_empresa.situacion_act = situacion_emp.id_situacion)
70. 39.000 39.000 ↑ 2.0 1 1,000

Index Scan using cambio_situacion_empresa_nro_patronal_fecha_creacion_id_cam_idx on cambio_situacion_empresa (cost=0.42..6.33 rows=2 width=20) (actual time=0.038..0.039 rows=1 loops=1,000)

  • Index Cond: (nro_patronal = empresas_sucursales.nro_patronal)
71. 0.012 0.024 ↑ 1.0 7 1

Hash (cost=1.07..1.07 rows=7 width=15) (actual time=0.024..0.024 rows=7 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 1kB
72. 0.012 0.012 ↑ 1.0 7 1

Seq Scan on situacion_emp (cost=0.00..1.07 rows=7 width=15) (actual time=0.005..0.012 rows=7 loops=1)

73. 0.000 0.000 ↓ 0.0 0

Sort (cost=6,039,910.55..6,039,912.38 rows=734 width=471) (never executed)

  • Sort Key: empresas_sucursales_1.nro_patronal
74. 0.000 0.000 ↓ 0.0 0

Nested Loop Left Join (cost=14.41..6,039,875.61 rows=734 width=471) (never executed)

75. 0.000 0.000 ↓ 0.0 0

Nested Loop Left Join (cost=14.41..4,907.68 rows=734 width=451) (never executed)

76. 0.000 0.000 ↓ 0.0 0

Nested Loop Left Join (cost=14.41..4,877.50 rows=734 width=444) (never executed)

77. 0.000 0.000 ↓ 0.0 0

Hash Left Join (cost=14.41..4,827.31 rows=734 width=390) (never executed)

  • Hash Cond: (empresas_sucursales_1.distrito_id = distritos_1.id)
78. 0.000 0.000 ↓ 0.0 0

Hash Left Join (cost=13.00..4,815.81 rows=734 width=379) (never executed)

  • Hash Cond: (empresas_sucursales_1.city_id = city_1.id)
79. 0.000 0.000 ↓ 0.0 0

Nested Loop Left Join (cost=0.29..4,793.04 rows=734 width=343) (never executed)

80. 0.000 0.000 ↓ 0.0 0

Nested Loop Left Join (cost=0.29..4,772.71 rows=734 width=329) (never executed)

81. 0.000 0.000 ↓ 0.0 0

Nested Loop (cost=0.29..4,752.39 rows=734 width=314) (never executed)

82. 0.000 0.000 ↓ 0.0 0

Seq Scan on empresas_sucursales empresas_sucursales_1 (cost=0.00..3,036.00 rows=734 width=302) (never executed)

  • Filter: ((type <> 1) AND (type <> 1))
83. 0.000 0.000 ↓ 0.0 0

Index Scan using empresas_pk on empresas emp_1 (cost=0.29..2.33 rows=1 width=20) (never executed)

  • Index Cond: (id = empresas_sucursales_1.empresa_id)
  • Filter: (((document)::text <> '0'::text) AND ((document)::text <> ''::text) AND ((document)::text <> '-'::text))
84. 0.000 0.000 ↓ 0.0 0

Index Scan using empresas_types_id_idx on empresas_types empresas_types_1 (cost=0.00..0.02 rows=1 width=23) (never executed)

  • Index Cond: (emp_1.type = id)
85. 0.000 0.000 ↓ 0.0 0

Index Scan using empresas_categorias_id_categoria_empresa_idx on empresas_categorias empresas_categorias_1 (cost=0.00..0.02 rows=1 width=18) (never executed)

  • Index Cond: (emp_1.id_categoria_empresa = id_categoria_empresa)
86. 0.000 0.000 ↓ 0.0 0

Hash (cost=9.54..9.54 rows=254 width=40) (never executed)

87. 0.000 0.000 ↓ 0.0 0

Seq Scan on city city_1 (cost=0.00..9.54 rows=254 width=40) (never executed)

88. 0.000 0.000 ↓ 0.0 0

Hash (cost=1.18..1.18 rows=18 width=19) (never executed)

89. 0.000 0.000 ↓ 0.0 0

Seq Scan on distritos distritos_1 (cost=0.00..1.18 rows=18 width=19) (never executed)

90. 0.000 0.000 ↓ 0.0 0

Index Scan using actividad_econ_id_activ_econ_idx on actividad_econ actividad_econ_1 (cost=0.00..0.06 rows=1 width=58) (never executed)

  • Index Cond: (empresas_sucursales_1.id_activ_econ = id_activ_econ)
91. 0.000 0.000 ↓ 0.0 0

Index Scan using empresas_sucursales_types_id_idx on empresas_sucursales_types empresas_sucursales_types_1 (cost=0.00..0.03 rows=1 width=23) (never executed)

  • Index Cond: (empresas_sucursales_1.type = id)
92. 0.000 0.000 ↓ 0.0 0

Index Scan using empresas_tipo_inscripcion_id_tipo_inscripcion_idx on empresas_tipo_inscripcion empresas_tipo_inscripcion_1 (cost=0.00..0.03 rows=1 width=24) (never executed)

  • Index Cond: (empresas_sucursales_1.id_tipo_inscripcion = id_tipo_inscripcion)
93.          

SubPlan (forNested Loop Left Join)

94. 0.000 0.000 ↓ 0.0 0

Aggregate (cost=1,944.02..1,944.03 rows=1 width=8) (never executed)

95. 0.000 0.000 ↓ 0.0 0

Nested Loop (cost=0.72..1,943.87 rows=60 width=8) (never executed)

96. 0.000 0.000 ↓ 0.0 0

Index Only Scan using empresas_sucursales_nro_patronal_key on empresas_sucursales es_3 (cost=0.29..2.31 rows=1 width=4) (never executed)

  • Index Cond: (nro_patronal = empresas_sucursales_1.nro_patronal)
  • Heap Fetches: 0
97. 0.000 0.000 ↓ 0.0 0

Index Scan using empleados_npatronal_idx on empleados empleados_3 (cost=0.43..1,940.96 rows=60 width=24) (never executed)

  • Index Cond: (npatronal = empresas_sucursales_1.nro_patronal)
  • Filter: (SubPlan 15)
98.          

SubPlan (forIndex Scan)

99. 0.000 0.000 ↓ 0.0 0

Limit (cost=14.14..14.14 rows=1 width=20) (never executed)

100. 0.000 0.000 ↓ 0.0 0

Sort (cost=14.14..14.14 rows=1 width=20) (never executed)

  • Sort Key: empleados_movimientos_4.fecha, empleados_movimientos_4.id
101. 0.000 0.000 ↓ 0.0 0

Result (cost=0.43..14.13 rows=1 width=20) (never executed)

  • One-Time Filter: (empleados_3.empresa_id = emp_1.id)
102. 0.000 0.000 ↓ 0.0 0

Index Scan using empleados_movimientos_empleado_id_tipo_fecha_key on empleados_movimientos empleados_movimientos_4 (cost=0.43..14.12 rows=1 width=20) (never executed)

  • Index Cond: (empleado_id = empleados_3.id)
  • Filter: (NOT (SubPlan 14))
103.          

SubPlan (forIndex Scan)

104. 0.000 0.000 ↓ 0.0 0

Index Scan using multas_id_registro_multado_idx on multas multas_4 (cost=0.00..4.02 rows=1 width=8) (never executed)

  • Index Cond: (id_registro_multado = empleados_movimientos_4.id)
  • Filter: ((estado IS NULL) AND (idtipo_multa = 11))
105. 0.000 0.000 ↓ 0.0 0

Aggregate (cost=2,087.29..2,087.32 rows=1 width=16) (never executed)

106. 0.000 0.000 ↓ 0.0 0

Index Only Scan using empleados_empresa_id_id_idx on empleados emplea_1 (cost=0.43..2,085.81 rows=74 width=16) (never executed)

  • Index Cond: (empresa_id = emp_1.id)
  • Filter: (SubPlan 18)
  • Heap Fetches: 0
107.          

SubPlan (forIndex Only Scan)

108. 0.000 0.000 ↓ 0.0 0

Limit (cost=14.14..14.14 rows=1 width=20) (never executed)

109. 0.000 0.000 ↓ 0.0 0

Sort (cost=14.14..14.14 rows=1 width=20) (never executed)

  • Sort Key: empleados_movimientos_5.fecha, empleados_movimientos_5.id
110. 0.000 0.000 ↓ 0.0 0

Index Scan using empleados_movimientos_empleado_id_tipo_fecha_key on empleados_movimientos empleados_movimientos_5 (cost=0.43..14.13 rows=1 width=20) (never executed)

  • Index Cond: (empleado_id = emplea_1.id)
  • Filter: (NOT (SubPlan 17))
111.          

SubPlan (forIndex Scan)

112. 0.000 0.000 ↓ 0.0 0

Index Scan using multas_id_registro_multado_idx on multas multas_5 (cost=0.00..4.02 rows=1 width=8) (never executed)

  • Index Cond: (id_registro_multado = empleados_movimientos_5.id)
  • Filter: ((estado IS NULL) AND (idtipo_multa = 11))
113. 0.000 0.000 ↓ 0.0 0

Aggregate (cost=2,091.55..2,091.56 rows=1 width=8) (never executed)

114. 0.000 0.000 ↓ 0.0 0

Nested Loop (cost=1.15..2,091.48 rows=31 width=8) (never executed)

115. 0.000 0.000 ↓ 0.0 0

Index Only Scan using empresas_sucursales_nro_patronal_key on empresas_sucursales es_4 (cost=0.29..2.31 rows=1 width=4) (never executed)

  • Index Cond: (nro_patronal = empresas_sucursales_1.nro_patronal)
  • Heap Fetches: 0
116. 0.000 0.000 ↓ 0.0 0

Nested Loop (cost=0.86..2,088.86 rows=31 width=16) (never executed)

117. 0.000 0.000 ↓ 0.0 0

Index Scan using empleados_npatronal_idx on empleados empleados_4 (cost=0.43..1,940.96 rows=60 width=24) (never executed)

  • Index Cond: (npatronal = empresas_sucursales_1.nro_patronal)
  • Filter: (SubPlan 21)
118.          

SubPlan (forIndex Scan)

119. 0.000 0.000 ↓ 0.0 0

Limit (cost=14.14..14.14 rows=1 width=20) (never executed)

120. 0.000 0.000 ↓ 0.0 0

Sort (cost=14.14..14.14 rows=1 width=20) (never executed)

  • Sort Key: empleados_movimientos_6.fecha, empleados_movimientos_6.id
121. 0.000 0.000 ↓ 0.0 0

Result (cost=0.43..14.13 rows=1 width=20) (never executed)

  • One-Time Filter: (empleados_4.empresa_id = emp_1.id)
122. 0.000 0.000 ↓ 0.0 0

Index Scan using empleados_movimientos_empleado_id_tipo_fecha_key on empleados_movimientos empleados_movimientos_6 (cost=0.43..14.12 rows=1 width=20) (never executed)

  • Index Cond: (empleado_id = empleados_4.id)
  • Filter: (NOT (SubPlan 20))
123.          

SubPlan (forIndex Scan)

124. 0.000 0.000 ↓ 0.0 0

Index Scan using multas_id_registro_multado_idx on multas multas_6 (cost=0.00..4.02 rows=1 width=8) (never executed)

  • Index Cond: (id_registro_multado = empleados_movimientos_6.id)
  • Filter: ((estado IS NULL) AND (idtipo_multa = 11))
125. 0.000 0.000 ↓ 0.0 0

Index Only Scan using persons_id_sexo_idx on persons persons_2 (cost=0.43..2.46 rows=1 width=8) (never executed)

  • Index Cond: ((id = empleados_4.persona_id) AND (sexo = 'M'::text))
  • Heap Fetches: 0
126. 0.000 0.000 ↓ 0.0 0

Aggregate (cost=2,091.53..2,091.54 rows=1 width=8) (never executed)

127. 0.000 0.000 ↓ 0.0 0

Nested Loop (cost=1.15..2,091.46 rows=29 width=8) (never executed)

128. 0.000 0.000 ↓ 0.0 0

Index Only Scan using empresas_sucursales_nro_patronal_key on empresas_sucursales es_5 (cost=0.29..2.31 rows=1 width=4) (never executed)

  • Index Cond: (nro_patronal = empresas_sucursales_1.nro_patronal)
  • Heap Fetches: 0
129. 0.000 0.000 ↓ 0.0 0

Nested Loop (cost=0.86..2,088.86 rows=29 width=16) (never executed)

130. 0.000 0.000 ↓ 0.0 0

Index Scan using empleados_npatronal_idx on empleados empleados_5 (cost=0.43..1,940.96 rows=60 width=24) (never executed)

  • Index Cond: (npatronal = empresas_sucursales_1.nro_patronal)
  • Filter: (SubPlan 24)
131.          

SubPlan (forIndex Scan)

132. 0.000 0.000 ↓ 0.0 0

Limit (cost=14.14..14.14 rows=1 width=20) (never executed)

133. 0.000 0.000 ↓ 0.0 0

Sort (cost=14.14..14.14 rows=1 width=20) (never executed)

  • Sort Key: empleados_movimientos_7.fecha, empleados_movimientos_7.id
134. 0.000 0.000 ↓ 0.0 0

Result (cost=0.43..14.13 rows=1 width=20) (never executed)

  • One-Time Filter: (empleados_5.empresa_id = emp_1.id)
135. 0.000 0.000 ↓ 0.0 0

Index Scan using empleados_movimientos_empleado_id_tipo_fecha_key on empleados_movimientos empleados_movimientos_7 (cost=0.43..14.12 rows=1 width=20) (never executed)

  • Index Cond: (empleado_id = empleados_5.id)
  • Filter: (NOT (SubPlan 23))
136.          

SubPlan (forIndex Scan)

137. 0.000 0.000 ↓ 0.0 0

Index Scan using multas_id_registro_multado_idx on multas multas_7 (cost=0.00..4.02 rows=1 width=8) (never executed)

  • Index Cond: (id_registro_multado = empleados_movimientos_7.id)
  • Filter: ((estado IS NULL) AND (idtipo_multa = 11))
138. 0.000 0.000 ↓ 0.0 0

Index Only Scan using persons_id_sexo_idx on persons persons_3 (cost=0.43..2.46 rows=1 width=8) (never executed)

  • Index Cond: ((id = empleados_5.persona_id) AND (sexo = 'F'::text))
  • Heap Fetches: 0
139. 0.000 0.000 ↓ 0.0 0

Limit (cost=7.53..7.53 rows=1 width=27) (never executed)

140. 0.000 0.000 ↓ 0.0 0

Sort (cost=7.53..7.53 rows=2 width=27) (never executed)

  • Sort Key: cambio_situacion_empresa_1.fecha_creacion, cambio_situacion_empresa_1.id_cambio_situacion_empresa
141. 0.000 0.000 ↓ 0.0 0

Hash Join (cost=1.57..7.52 rows=2 width=27) (never executed)

  • Hash Cond: (cambio_situacion_empresa_1.situacion_act = situacion_emp_1.id_situacion)
142. 0.000 0.000 ↓ 0.0 0

Index Scan using cambio_situacion_empresa_nro_patronal_fecha_creacion_id_cam_idx on cambio_situacion_empresa cambio_situacion_empresa_1 (cost=0.42..6.33 rows=2 width=20) (never executed)

  • Index Cond: (nro_patronal = empresas_sucursales_1.nro_patronal)
143. 0.000 0.000 ↓ 0.0 0

Hash (cost=1.07..1.07 rows=7 width=15) (never executed)

144. 0.000 0.000 ↓ 0.0 0

Seq Scan on situacion_emp situacion_emp_1 (cost=0.00..1.07 rows=7 width=15) (never executed)