explain.depesz.com

PostgreSQL's explain analyze made readable

Result: A7H6

Settings
# exclusive inclusive rows x rows loops node
1. 0.166 29.872 ↑ 1.0 100 1

Limit (cost=0.86..827,388.02 rows=100 width=635) (actual time=1.121..29.872 rows=100 loops=1)

2. 0.136 29.706 ↑ 530.7 100 1

Append (cost=0.86..439,061,271.43 rows=53,066 width=635) (actual time=1.119..29.706 rows=100 loops=1)

3. 1.836 29.570 ↑ 523.1 100 1

Nested Loop Left Join (cost=0.86..432,823,299.12 rows=52,313 width=469) (actual time=1.117..29.570 rows=100 loops=1)

  • Join Filter: (empresas_sucursales.id_tipo_inscripcion = empresas_tipo_inscripcion.id_tipo_inscripcion)
  • Rows Removed by Join Filter: 198
4. 0.315 7.834 ↑ 523.1 100 1

Nested Loop Left Join (cost=0.86..48,990.90 rows=52,313 width=449) (actual time=0.293..7.834 rows=100 loops=1)

  • Join Filter: (empresas_sucursales.type = empresas_sucursales_types.id)
5. 0.395 7.319 ↑ 523.1 100 1

Nested Loop Left Join (cost=0.86..48,205.17 rows=52,313 width=442) (actual time=0.277..7.319 rows=100 loops=1)

6. 0.354 6.124 ↑ 523.1 100 1

Nested Loop Left Join (cost=0.86..46,736.56 rows=52,313 width=388) (actual time=0.243..6.124 rows=100 loops=1)

7. 0.358 5.370 ↑ 523.1 100 1

Nested Loop Left Join (cost=0.72..38,098.92 rows=52,313 width=377) (actual time=0.213..5.370 rows=100 loops=1)

8. 0.408 4.412 ↑ 523.1 100 1

Nested Loop Left Join (cost=0.58..29,056.92 rows=52,313 width=341) (actual time=0.194..4.412 rows=100 loops=1)

9. 0.511 3.504 ↑ 523.1 100 1

Nested Loop Left Join (cost=0.58..27,608.29 rows=52,313 width=327) (actual time=0.171..3.504 rows=100 loops=1)

10. 0.427 2.193 ↑ 523.1 100 1

Nested Loop (cost=0.58..26,159.66 rows=52,313 width=312) (actual time=0.107..2.193 rows=100 loops=1)

11. 0.866 0.866 ↑ 523.2 100 1

Index Scan Backward using empresas_sucursales_nro_patronal_key on empresas_sucursales (cost=0.29..5,658.17 rows=52,316 width=239) (actual time=0.025..0.866 rows=100 loops=1)

  • Filter: (type = 1)
  • Rows Removed by Filter: 12
12. 0.900 0.900 ↑ 1.0 1 100

Index Scan using empresas_pk on empresas emp (cost=0.29..0.38 rows=1 width=81) (actual time=0.008..0.009 rows=1 loops=100)

  • Index Cond: (id = empresas_sucursales.empresa_id)
  • Filter: (((document)::text <> '0'::text) AND ((document)::text <> ''::text) AND ((document)::text <> '-'::text))
13. 0.800 0.800 ↑ 1.0 1 100

Index Scan using empresas_types_id_idx on empresas_types (cost=0.00..0.02 rows=1 width=23) (actual time=0.007..0.008 rows=1 loops=100)

  • Index Cond: (emp.type = id)
14. 0.500 0.500 ↑ 1.0 1 100

Index Scan using empresas_categorias_id_categoria_empresa_idx on empresas_categorias (cost=0.00..0.02 rows=1 width=18) (actual time=0.004..0.005 rows=1 loops=100)

  • Index Cond: (emp.id_categoria_empresa = id_categoria_empresa)
15. 0.600 0.600 ↑ 1.0 1 100

Index Scan using city_id_distrito_id_idx on city (cost=0.14..0.16 rows=1 width=40) (actual time=0.005..0.006 rows=1 loops=100)

  • Index Cond: (empresas_sucursales.city_id = id)
16. 0.400 0.400 ↑ 1.0 1 100

Index Scan using distritos_pkey on distritos (cost=0.14..0.16 rows=1 width=19) (actual time=0.003..0.004 rows=1 loops=100)

  • Index Cond: (empresas_sucursales.distrito_id = id)
17. 0.800 0.800 ↑ 1.0 1 100

Index Scan using actividad_econ_id_activ_econ_idx on actividad_econ (cost=0.00..0.02 rows=1 width=58) (actual time=0.006..0.008 rows=1 loops=100)

  • Index Cond: (empresas_sucursales.id_activ_econ = id_activ_econ)
18. 0.192 0.200 ↑ 1.0 1 100

Materialize (cost=0.00..1.04 rows=1 width=23) (actual time=0.001..0.002 rows=1 loops=100)

19. 0.008 0.008 ↑ 1.0 1 1

Seq Scan on empresas_sucursales_types (cost=0.00..1.04 rows=1 width=23) (actual time=0.006..0.008 rows=1 loops=1)

  • Filter: (id = 1)
  • Rows Removed by Filter: 2
20. 0.291 0.300 ↑ 1.0 3 100

Materialize (cost=0.00..1.04 rows=3 width=24) (actual time=0.001..0.003 rows=3 loops=100)

21. 0.009 0.009 ↑ 1.0 3 1

Seq Scan on empresas_tipo_inscripcion (cost=0.00..1.03 rows=3 width=24) (actual time=0.004..0.009 rows=3 loops=1)

22.          

SubPlan (forNested Loop Left Join)

23. 0.300 7.600 ↑ 1.0 1 100

Aggregate (cost=1,957.96..1,957.97 rows=1 width=8) (actual time=0.076..0.076 rows=1 loops=100)

24. 0.500 7.300 ↓ 0.0 0 100

Nested Loop (cost=0.29..1,957.81 rows=60 width=8) (actual time=0.058..0.073 rows=0 loops=100)

25. 0.500 0.500 ↑ 1.0 1 100

Index Only Scan using empresas_sucursales_nro_patronal_key on empresas_sucursales es (cost=0.29..2.31 rows=1 width=4) (actual time=0.004..0.005 rows=1 loops=100)

  • Index Cond: (nro_patronal = empresas_sucursales.nro_patronal)
  • Heap Fetches: 5
26. 4.210 6.300 ↓ 0.0 0 100

Index Scan using empleados_npatronal_idx on empleados (cost=0.00..1,954.91 rows=60 width=24) (actual time=0.049..0.063 rows=0 loops=100)

  • Index Cond: (npatronal = empresas_sucursales.nro_patronal)
  • Filter: (SubPlan 2)
  • Rows Removed by Filter: 0
27.          

SubPlan (forIndex Scan)

28. 0.076 2.090 ↑ 1.0 1 38

Limit (cost=14.12..14.12 rows=1 width=20) (actual time=0.055..0.055 rows=1 loops=38)

29. 0.304 2.014 ↑ 1.0 1 38

Sort (cost=14.12..14.12 rows=1 width=20) (actual time=0.053..0.053 rows=1 loops=38)

  • Sort Key: empleados_movimientos.fecha, empleados_movimientos.id
  • Sort Method: quicksort Memory: 25kB
30. 0.190 1.710 ↑ 1.0 1 38

Result (cost=0.43..14.11 rows=1 width=20) (actual time=0.041..0.045 rows=1 loops=38)

  • One-Time Filter: (empleados.empresa_id = emp.id)
31. 1.280 1.520 ↑ 1.0 1 38

Index Scan using empleados_movimientos_empleado_id_tipo_idx on empleados_movimientos (cost=0.43..14.10 rows=1 width=20) (actual time=0.037..0.040 rows=1 loops=38)

  • Index Cond: (empleado_id = empleados.id)
  • Filter: (NOT (SubPlan 1))
32.          

SubPlan (forIndex Scan)

33. 0.240 0.240 ↓ 0.0 0 40

Index Scan using multas_id_registro_multado_idx on multas (cost=0.00..4.02 rows=1 width=8) (actual time=0.006..0.006 rows=0 loops=40)

  • Index Cond: (id_registro_multado = empleados_movimientos.id)
  • Filter: ((estado IS NULL) AND (idtipo_multa = 11))
34. 0.400 1.800 ↑ 1.0 1 100

Aggregate (cost=2,096.22..2,096.25 rows=1 width=16) (actual time=0.017..0.018 rows=1 loops=100)

35. 0.640 1.400 ↓ 0.0 0 100

Index Only Scan using empleados_empresa_id_id_idx on empleados emplea (cost=0.43..2,094.74 rows=74 width=16) (actual time=0.009..0.014 rows=0 loops=100)

  • Index Cond: (empresa_id = emp.id)
  • Filter: (SubPlan 5)
  • Rows Removed by Filter: 0
  • Heap Fetches: 3
36.          

SubPlan (forIndex Only Scan)

37. 0.076 0.760 ↑ 1.0 1 38

Limit (cost=14.11..14.12 rows=1 width=20) (actual time=0.020..0.020 rows=1 loops=38)

38. 0.266 0.684 ↑ 1.0 1 38

Sort (cost=14.11..14.12 rows=1 width=20) (actual time=0.018..0.018 rows=1 loops=38)

  • Sort Key: empleados_movimientos_1.fecha, empleados_movimientos_1.id
  • Sort Method: quicksort Memory: 25kB
39. 0.298 0.418 ↑ 1.0 1 38

Index Scan using empleados_movimientos_empleado_id_tipo_idx on empleados_movimientos empleados_movimientos_1 (cost=0.43..14.10 rows=1 width=20) (actual time=0.010..0.011 rows=1 loops=38)

  • Index Cond: (empleado_id = emplea.id)
  • Filter: (NOT (SubPlan 4))
40.          

SubPlan (forIndex Scan)

41. 0.120 0.120 ↓ 0.0 0 40

Index Scan using multas_id_registro_multado_idx on multas multas_1 (cost=0.00..4.02 rows=1 width=8) (actual time=0.003..0.003 rows=0 loops=40)

  • Index Cond: (id_registro_multado = empleados_movimientos_1.id)
  • Filter: ((estado IS NULL) AND (idtipo_multa = 11))
42. 0.300 4.200 ↑ 1.0 1 100

Aggregate (cost=2,105.50..2,105.51 rows=1 width=8) (actual time=0.041..0.042 rows=1 loops=100)

43. 0.500 3.900 ↓ 0.0 0 100

Nested Loop (cost=0.72..2,105.42 rows=31 width=8) (actual time=0.025..0.039 rows=0 loops=100)

44. 0.400 0.400 ↑ 1.0 1 100

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=0.003..0.004 rows=1 loops=100)

  • Index Cond: (nro_patronal = empresas_sucursales.nro_patronal)
  • Heap Fetches: 5
45. 0.348 3.000 ↓ 0.0 0 100

Nested Loop (cost=0.43..2,102.81 rows=31 width=16) (actual time=0.018..0.030 rows=0 loops=100)

46. 0.512 1.500 ↓ 0.0 0 100

Index Scan using empleados_npatronal_idx on empleados empleados_1 (cost=0.00..1,954.91 rows=60 width=24) (actual time=0.009..0.015 rows=0 loops=100)

  • Index Cond: (npatronal = empresas_sucursales.nro_patronal)
  • Filter: (SubPlan 8)
  • Rows Removed by Filter: 0
47.          

SubPlan (forIndex Scan)

48. 0.114 0.988 ↑ 1.0 1 38

Limit (cost=14.12..14.12 rows=1 width=20) (actual time=0.026..0.026 rows=1 loops=38)

49. 0.266 0.874 ↑ 1.0 1 38

Sort (cost=14.12..14.12 rows=1 width=20) (actual time=0.023..0.023 rows=1 loops=38)

  • Sort Key: empleados_movimientos_2.fecha, empleados_movimientos_2.id
  • Sort Method: quicksort Memory: 25kB
50. 0.152 0.608 ↑ 1.0 1 38

Result (cost=0.43..14.11 rows=1 width=20) (actual time=0.013..0.016 rows=1 loops=38)

  • One-Time Filter: (empleados_1.empresa_id = emp.id)
51. 0.336 0.456 ↑ 1.0 1 38

Index Scan using empleados_movimientos_empleado_id_tipo_idx on empleados_movimientos empleados_movimientos_2 (cost=0.43..14.10 rows=1 width=20) (actual time=0.010..0.012 rows=1 loops=38)

  • Index Cond: (empleado_id = empleados_1.id)
  • Filter: (NOT (SubPlan 7))
52.          

SubPlan (forIndex Scan)

53. 0.120 0.120 ↓ 0.0 0 40

Index Scan using multas_id_registro_multado_idx on multas multas_2 (cost=0.00..4.02 rows=1 width=8) (actual time=0.003..0.003 rows=0 loops=40)

  • Index Cond: (id_registro_multado = empleados_movimientos_2.id)
  • Filter: ((estado IS NULL) AND (idtipo_multa = 11))
54. 1.152 1.152 ↑ 1.0 1 36

Index Only Scan using persons_id_sexo_idx on persons (cost=0.43..2.46 rows=1 width=8) (actual time=0.031..0.032 rows=1 loops=36)

  • Index Cond: ((id = empleados_1.persona_id) AND (sexo = 'M'::text))
  • Heap Fetches: 0
55. 0.300 3.300 ↑ 1.0 1 100

Aggregate (cost=2,105.48..2,105.49 rows=1 width=8) (actual time=0.032..0.033 rows=1 loops=100)

56. 0.400 3.000 ↓ 0.0 0 100

Nested Loop (cost=0.72..2,105.40 rows=29 width=8) (actual time=0.028..0.030 rows=0 loops=100)

57. 0.400 0.400 ↑ 1.0 1 100

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=0.003..0.004 rows=1 loops=100)

  • Index Cond: (nro_patronal = empresas_sucursales.nro_patronal)
  • Heap Fetches: 5
58. 0.584 2.200 ↓ 0.0 0 100

Nested Loop (cost=0.43..2,102.81 rows=29 width=16) (actual time=0.021..0.022 rows=0 loops=100)

59. 0.450 1.400 ↓ 0.0 0 100

Index Scan using empleados_npatronal_idx on empleados empleados_2 (cost=0.00..1,954.91 rows=60 width=24) (actual time=0.008..0.014 rows=0 loops=100)

  • Index Cond: (npatronal = empresas_sucursales.nro_patronal)
  • Filter: (SubPlan 11)
  • Rows Removed by Filter: 0
60.          

SubPlan (forIndex Scan)

61. 0.076 0.950 ↑ 1.0 1 38

Limit (cost=14.12..14.12 rows=1 width=20) (actual time=0.025..0.025 rows=1 loops=38)

62. 0.266 0.874 ↑ 1.0 1 38

Sort (cost=14.12..14.12 rows=1 width=20) (actual time=0.023..0.023 rows=1 loops=38)

  • Sort Key: empleados_movimientos_3.fecha, empleados_movimientos_3.id
  • Sort Method: quicksort Memory: 25kB
63. 0.190 0.608 ↑ 1.0 1 38

Result (cost=0.43..14.11 rows=1 width=20) (actual time=0.013..0.016 rows=1 loops=38)

  • One-Time Filter: (empleados_2.empresa_id = emp.id)
64. 0.298 0.418 ↑ 1.0 1 38

Index Scan using empleados_movimientos_empleado_id_tipo_idx on empleados_movimientos empleados_movimientos_3 (cost=0.43..14.10 rows=1 width=20) (actual time=0.010..0.011 rows=1 loops=38)

  • Index Cond: (empleado_id = empleados_2.id)
  • Filter: (NOT (SubPlan 10))
65.          

SubPlan (forIndex Scan)

66. 0.120 0.120 ↓ 0.0 0 40

Index Scan using multas_id_registro_multado_idx on multas multas_3 (cost=0.00..4.02 rows=1 width=8) (actual time=0.003..0.003 rows=0 loops=40)

  • Index Cond: (id_registro_multado = empleados_movimientos_3.id)
  • Filter: ((estado IS NULL) AND (idtipo_multa = 11))
67. 0.216 0.216 ↓ 0.0 0 36

Index Only Scan using persons_id_sexo_idx on persons persons_1 (cost=0.43..2.46 rows=1 width=8) (actual time=0.006..0.006 rows=0 loops=36)

  • Index Cond: ((id = empleados_2.persona_id) AND (sexo = 'F'::text))
  • Heap Fetches: 0
68. 0.300 2.700 ↑ 1.0 1 100

Limit (cost=7.53..7.53 rows=1 width=27) (actual time=0.026..0.027 rows=1 loops=100)

69. 0.900 2.400 ↑ 2.0 1 100

Sort (cost=7.53..7.53 rows=2 width=27) (actual time=0.024..0.024 rows=1 loops=100)

  • Sort Key: cambio_situacion_empresa.fecha_creacion, cambio_situacion_empresa.id_cambio_situacion_empresa
  • Sort Method: quicksort Memory: 25kB
70. 0.575 1.500 ↑ 2.0 1 100

Hash Join (cost=1.57..7.52 rows=2 width=27) (actual time=0.012..0.015 rows=1 loops=100)

  • Hash Cond: (cambio_situacion_empresa.situacion_act = situacion_emp.id_situacion)
71. 0.900 0.900 ↑ 2.0 1 100

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=0.008..0.009 rows=1 loops=100)

  • Index Cond: (nro_patronal = empresas_sucursales.nro_patronal)
72. 0.011 0.025 ↑ 1.0 7 1

Hash (cost=1.07..1.07 rows=7 width=15) (actual time=0.025..0.025 rows=7 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 1kB
73. 0.014 0.014 ↑ 1.0 7 1

Seq Scan on situacion_emp (cost=0.00..1.07 rows=7 width=15) (actual time=0.006..0.014 rows=7 loops=1)

74. 0.000 0.000 ↓ 0.0 0

Nested Loop Left Join (cost=0.72..6,237,441.65 rows=753 width=471) (never executed)

  • Join Filter: (empresas_sucursales_1.id_tipo_inscripcion = empresas_tipo_inscripcion_1.id_tipo_inscripcion)
75. 0.000 0.000 ↓ 0.0 0

Nested Loop Left Join (cost=0.72..8,031.99 rows=753 width=451) (never executed)

  • Join Filter: (empresas_sucursales_1.type = empresas_sucursales_types_1.id)
76. 0.000 0.000 ↓ 0.0 0

Nested Loop Left Join (cost=0.72..7,997.07 rows=753 width=444) (never executed)

77. 0.000 0.000 ↓ 0.0 0

Nested Loop Left Join (cost=0.72..7,946.36 rows=753 width=390) (never executed)

  • Join Filter: (empresas_sucursales_1.distrito_id = distritos_1.id)
78. 0.000 0.000 ↓ 0.0 0

Nested Loop Left Join (cost=0.72..7,741.83 rows=753 width=379) (never executed)

79. 0.000 0.000 ↓ 0.0 0

Nested Loop Left Join (cost=0.58..7,593.93 rows=753 width=343) (never executed)

80. 0.000 0.000 ↓ 0.0 0

Nested Loop Left Join (cost=0.58..7,573.08 rows=753 width=329) (never executed)

81. 0.000 0.000 ↓ 0.0 0

Nested Loop (cost=0.58..7,552.23 rows=753 width=314) (never executed)

82. 0.000 0.000 ↓ 0.0 0

Index Scan Backward using empresas_sucursales_nro_patronal_key on empresas_sucursales empresas_sucursales_1 (cost=0.29..5,805.62 rows=753 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..2.31 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

Index Scan using city_id_distrito_id_idx on city city_1 (cost=0.14..0.19 rows=1 width=40) (never executed)

  • Index Cond: (empresas_sucursales_1.city_id = id)
87. 0.000 0.000 ↓ 0.0 0

Materialize (cost=0.00..1.27 rows=18 width=19) (never executed)

88. 0.000 0.000 ↓ 0.0 0

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

89. 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)
90. 0.000 0.000 ↓ 0.0 0

Materialize (cost=0.00..1.04 rows=3 width=23) (never executed)

91. 0.000 0.000 ↓ 0.0 0

Seq Scan on empresas_sucursales_types empresas_sucursales_types_1 (cost=0.00..1.03 rows=3 width=23) (never executed)

92. 0.000 0.000 ↓ 0.0 0

Materialize (cost=0.00..1.04 rows=3 width=24) (never executed)

93. 0.000 0.000 ↓ 0.0 0

Seq Scan on empresas_tipo_inscripcion empresas_tipo_inscripcion_1 (cost=0.00..1.03 rows=3 width=24) (never executed)

94.          

SubPlan (forNested Loop Left Join)

95. 0.000 0.000 ↓ 0.0 0

Aggregate (cost=1,957.96..1,957.97 rows=1 width=8) (never executed)

96. 0.000 0.000 ↓ 0.0 0

Nested Loop (cost=0.29..1,957.81 rows=60 width=8) (never executed)

97. 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
98. 0.000 0.000 ↓ 0.0 0

Index Scan using empleados_npatronal_idx on empleados empleados_3 (cost=0.00..1,954.91 rows=60 width=24) (never executed)

  • Index Cond: (npatronal = empresas_sucursales_1.nro_patronal)
  • Filter: (SubPlan 15)
99.          

SubPlan (forIndex Scan)

100. 0.000 0.000 ↓ 0.0 0

Limit (cost=14.12..14.12 rows=1 width=20) (never executed)

101. 0.000 0.000 ↓ 0.0 0

Sort (cost=14.12..14.12 rows=1 width=20) (never executed)

  • Sort Key: empleados_movimientos_4.fecha, empleados_movimientos_4.id
102. 0.000 0.000 ↓ 0.0 0

Result (cost=0.43..14.11 rows=1 width=20) (never executed)

  • One-Time Filter: (empleados_3.empresa_id = emp_1.id)
103. 0.000 0.000 ↓ 0.0 0

Index Scan using empleados_movimientos_empleado_id_tipo_idx on empleados_movimientos empleados_movimientos_4 (cost=0.43..14.10 rows=1 width=20) (never executed)

  • Index Cond: (empleado_id = empleados_3.id)
  • Filter: (NOT (SubPlan 14))
104.          

SubPlan (forIndex Scan)

105. 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))
106. 0.000 0.000 ↓ 0.0 0

Aggregate (cost=2,096.22..2,096.25 rows=1 width=16) (never executed)

107. 0.000 0.000 ↓ 0.0 0

Index Only Scan using empleados_empresa_id_id_idx on empleados emplea_1 (cost=0.43..2,094.74 rows=74 width=16) (never executed)

  • Index Cond: (empresa_id = emp_1.id)
  • Filter: (SubPlan 18)
  • Heap Fetches: 0
108.          

SubPlan (forIndex Only Scan)

109. 0.000 0.000 ↓ 0.0 0

Limit (cost=14.11..14.12 rows=1 width=20) (never executed)

110. 0.000 0.000 ↓ 0.0 0

Sort (cost=14.11..14.12 rows=1 width=20) (never executed)

  • Sort Key: empleados_movimientos_5.fecha, empleados_movimientos_5.id
111. 0.000 0.000 ↓ 0.0 0

Index Scan using empleados_movimientos_empleado_id_tipo_idx on empleados_movimientos empleados_movimientos_5 (cost=0.43..14.10 rows=1 width=20) (never executed)

  • Index Cond: (empleado_id = emplea_1.id)
  • Filter: (NOT (SubPlan 17))
112.          

SubPlan (forIndex Scan)

113. 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))
114. 0.000 0.000 ↓ 0.0 0

Aggregate (cost=2,105.50..2,105.51 rows=1 width=8) (never executed)

115. 0.000 0.000 ↓ 0.0 0

Nested Loop (cost=0.72..2,105.42 rows=31 width=8) (never executed)

116. 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
117. 0.000 0.000 ↓ 0.0 0

Nested Loop (cost=0.43..2,102.81 rows=31 width=16) (never executed)

118. 0.000 0.000 ↓ 0.0 0

Index Scan using empleados_npatronal_idx on empleados empleados_4 (cost=0.00..1,954.91 rows=60 width=24) (never executed)

  • Index Cond: (npatronal = empresas_sucursales_1.nro_patronal)
  • Filter: (SubPlan 21)
119.          

SubPlan (forIndex Scan)

120. 0.000 0.000 ↓ 0.0 0

Limit (cost=14.12..14.12 rows=1 width=20) (never executed)

121. 0.000 0.000 ↓ 0.0 0

Sort (cost=14.12..14.12 rows=1 width=20) (never executed)

  • Sort Key: empleados_movimientos_6.fecha, empleados_movimientos_6.id
122. 0.000 0.000 ↓ 0.0 0

Result (cost=0.43..14.11 rows=1 width=20) (never executed)

  • One-Time Filter: (empleados_4.empresa_id = emp_1.id)
123. 0.000 0.000 ↓ 0.0 0

Index Scan using empleados_movimientos_empleado_id_tipo_idx on empleados_movimientos empleados_movimientos_6 (cost=0.43..14.10 rows=1 width=20) (never executed)

  • Index Cond: (empleado_id = empleados_4.id)
  • Filter: (NOT (SubPlan 20))
124.          

SubPlan (forIndex Scan)

125. 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))
126. 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
127. 0.000 0.000 ↓ 0.0 0

Aggregate (cost=2,105.48..2,105.49 rows=1 width=8) (never executed)

128. 0.000 0.000 ↓ 0.0 0

Nested Loop (cost=0.72..2,105.40 rows=29 width=8) (never executed)

129. 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
130. 0.000 0.000 ↓ 0.0 0

Nested Loop (cost=0.43..2,102.81 rows=29 width=16) (never executed)

131. 0.000 0.000 ↓ 0.0 0

Index Scan using empleados_npatronal_idx on empleados empleados_5 (cost=0.00..1,954.91 rows=60 width=24) (never executed)

  • Index Cond: (npatronal = empresas_sucursales_1.nro_patronal)
  • Filter: (SubPlan 24)
132.          

SubPlan (forIndex Scan)

133. 0.000 0.000 ↓ 0.0 0

Limit (cost=14.12..14.12 rows=1 width=20) (never executed)

134. 0.000 0.000 ↓ 0.0 0

Sort (cost=14.12..14.12 rows=1 width=20) (never executed)

  • Sort Key: empleados_movimientos_7.fecha, empleados_movimientos_7.id
135. 0.000 0.000 ↓ 0.0 0

Result (cost=0.43..14.11 rows=1 width=20) (never executed)

  • One-Time Filter: (empleados_5.empresa_id = emp_1.id)
136. 0.000 0.000 ↓ 0.0 0

Index Scan using empleados_movimientos_empleado_id_tipo_idx on empleados_movimientos empleados_movimientos_7 (cost=0.43..14.10 rows=1 width=20) (never executed)

  • Index Cond: (empleado_id = empleados_5.id)
  • Filter: (NOT (SubPlan 23))
137.          

SubPlan (forIndex Scan)

138. 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))
139. 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
140. 0.000 0.000 ↓ 0.0 0

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

141. 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
142. 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)
143. 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)
144. 0.000 0.000 ↓ 0.0 0

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

145. 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)