explain.depesz.com

PostgreSQL's explain analyze made readable

Result: vfYt

Settings
# exclusive inclusive rows x rows loops node
1. 1.646 925.097 ↑ 1.0 1,000 1

Limit (cost=0.86..8,280,347.78 rows=1,000 width=635) (actual time=1.339..925.097 rows=1,000 loops=1)

2. 1.627 923.451 ↑ 53.1 1,000 1

Append (cost=0.86..439,404,890.59 rows=53,066 width=635) (actual time=1.338..923.451 rows=1,000 loops=1)

3. 24.937 921.824 ↑ 52.3 1,000 1

Nested Loop Left Join (cost=0.86..433,165,044.22 rows=52,313 width=469) (actual time=1.336..921.824 rows=1,000 loops=1)

4. 3.918 161.887 ↑ 52.3 1,000 1

Nested Loop Left Join (cost=0.86..48,990.90 rows=52,313 width=449) (actual time=0.235..161.887 rows=1,000 loops=1)

  • Join Filter: (empresas_sucursales.type = empresas_sucursales_types.id)
5. 9.242 155.969 ↑ 52.3 1,000 1

Nested Loop Left Join (cost=0.86..48,205.17 rows=52,313 width=442) (actual time=0.220..155.969 rows=1,000 loops=1)

6. 4.208 129.727 ↑ 52.3 1,000 1

Nested Loop Left Join (cost=0.86..46,736.56 rows=52,313 width=388) (actual time=0.185..129.727 rows=1,000 loops=1)

7. 4.723 114.519 ↑ 52.3 1,000 1

Nested Loop Left Join (cost=0.72..38,098.92 rows=52,313 width=377) (actual time=0.175..114.519 rows=1,000 loops=1)

8. 5.325 94.796 ↑ 52.3 1,000 1

Nested Loop Left Join (cost=0.58..29,056.92 rows=52,313 width=341) (actual time=0.119..94.796 rows=1,000 loops=1)

9. 5.489 81.471 ↑ 52.3 1,000 1

Nested Loop Left Join (cost=0.58..27,608.29 rows=52,313 width=327) (actual time=0.093..81.471 rows=1,000 loops=1)

10. 5.101 56.982 ↑ 52.3 1,000 1

Nested Loop (cost=0.58..26,159.66 rows=52,313 width=312) (actual time=0.059..56.982 rows=1,000 loops=1)

11. 25.881 25.881 ↑ 52.3 1,000 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=0.016..25.881 rows=1,000 loops=1)

  • Filter: (type = 1)
  • Rows Removed by Filter: 149
12. 26.000 26.000 ↑ 1.0 1 1,000

Index Scan using empresas_pk on empresas emp (cost=0.29..0.38 rows=1 width=81) (actual time=0.022..0.026 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. 19.000 19.000 ↑ 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=0.007..0.019 rows=1 loops=1,000)

  • Index Cond: (emp.type = id)
14. 8.000 8.000 ↑ 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=0.007..0.008 rows=1 loops=1,000)

  • Index Cond: (emp.id_categoria_empresa = id_categoria_empresa)
15. 15.000 15.000 ↑ 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=0.014..0.015 rows=1 loops=1,000)

  • Index Cond: (empresas_sucursales.city_id = id)
16. 11.000 11.000 ↑ 1.0 1 1,000

Index Scan using distritos_pkey on distritos (cost=0.14..0.16 rows=1 width=19) (actual time=0.010..0.011 rows=1 loops=1,000)

  • Index Cond: (empresas_sucursales.distrito_id = id)
17. 17.000 17.000 ↑ 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=0.016..0.017 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. 14.000 14.000 ↑ 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=0.012..0.014 rows=1 loops=1,000)

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

SubPlan (forNested Loop Left Join)

22. 7.000 241.000 ↑ 1.0 1 1,000

Aggregate (cost=1,959.51..1,959.52 rows=1 width=8) (actual time=0.240..0.241 rows=1 loops=1,000)

23. 10.000 234.000 ↑ 60.0 1 1,000

Nested Loop (cost=0.29..1,959.36 rows=60 width=8) (actual time=0.110..0.234 rows=1 loops=1,000)

24. 8.000 8.000 ↑ 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=0.007..0.008 rows=1 loops=1,000)

  • Index Cond: (nro_patronal = empresas_sucursales.nro_patronal)
  • Heap Fetches: 36
25. 82.629 216.000 ↑ 60.0 1 1,000

Index Scan using empleados_npatronal_idx on empleados (cost=0.00..1,956.46 rows=60 width=24) (actual time=0.096..0.216 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. 4.599 133.371 ↑ 1.0 1 1,533

Limit (cost=14.13..14.13 rows=1 width=20) (actual time=0.087..0.087 rows=1 loops=1,533)

28. 10.731 128.772 ↑ 1.0 1 1,533

Sort (cost=14.13..14.13 rows=1 width=20) (actual time=0.084..0.084 rows=1 loops=1,533)

  • Sort Key: empleados_movimientos.fecha, empleados_movimientos.id
  • Sort Method: quicksort Memory: 25kB
29. 22.995 118.041 ↑ 1.0 1 1,533

Result (cost=0.43..14.12 rows=1 width=20) (actual time=0.056..0.077 rows=1 loops=1,533)

  • One-Time Filter: (empleados.empresa_id = emp.id)
30. 81.406 95.046 ↑ 1.0 1 1,533

Index Scan using empleados_movimientos_empleado_id_tipo_idx on empleados_movimientos (cost=0.43..14.11 rows=1 width=20) (actual time=0.043..0.062 rows=1 loops=1,533)

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

SubPlan (forIndex Scan)

32. 13.640 13.640 ↓ 0.0 0 1,705

Index Scan using multas_id_registro_multado_idx on multas (cost=0.00..4.02 rows=1 width=8) (actual time=0.008..0.008 rows=0 loops=1,705)

  • Index Cond: (id_registro_multado = empleados_movimientos.id)
  • Filter: ((estado IS NULL) AND (idtipo_multa = 11))
  • Rows Removed by Filter: 0
33. 6.000 110.000 ↑ 1.0 1 1,000

Aggregate (cost=2,098.11..2,098.14 rows=1 width=16) (actual time=0.110..0.110 rows=1 loops=1,000)

34. 22.308 104.000 ↑ 74.0 1 1,000

Index Only Scan using empleados_empresa_id_id_idx on empleados emplea (cost=0.43..2,096.63 rows=74 width=16) (actual time=0.030..0.104 rows=1 loops=1,000)

  • Index Cond: (empresa_id = emp.id)
  • Filter: (SubPlan 5)
  • Rows Removed by Filter: 0
  • Heap Fetches: 52
35.          

SubPlan (forIndex Only Scan)

36. 3.142 81.692 ↑ 1.0 1 1,571

Limit (cost=14.13..14.13 rows=1 width=20) (actual time=0.052..0.052 rows=1 loops=1,571)

37. 18.852 78.550 ↑ 1.0 1 1,571

Sort (cost=14.13..14.13 rows=1 width=20) (actual time=0.050..0.050 rows=1 loops=1,571)

  • Sort Key: empleados_movimientos_1.fecha, empleados_movimientos_1.id
  • Sort Method: quicksort Memory: 25kB
38. 40.503 59.698 ↑ 1.0 1 1,571

Index Scan using empleados_movimientos_empleado_id_tipo_idx on empleados_movimientos empleados_movimientos_1 (cost=0.43..14.12 rows=1 width=20) (actual time=0.036..0.038 rows=1 loops=1,571)

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

SubPlan (forIndex Scan)

40. 19.195 19.195 ↓ 0.0 0 1,745

Index Scan using multas_id_registro_multado_idx on multas multas_1 (cost=0.00..4.02 rows=1 width=8) (actual time=0.011..0.011 rows=0 loops=1,745)

  • Index Cond: (id_registro_multado = empleados_movimientos_1.id)
  • Filter: ((estado IS NULL) AND (idtipo_multa = 11))
  • Rows Removed by Filter: 0
41. 5.000 196.000 ↑ 1.0 1 1,000

Aggregate (cost=2,107.05..2,107.06 rows=1 width=8) (actual time=0.195..0.196 rows=1 loops=1,000)

42. 6.000 191.000 ↑ 31.0 1 1,000

Nested Loop (cost=0.72..2,106.97 rows=31 width=8) (actual time=0.092..0.191 rows=1 loops=1,000)

43. 11.000 11.000 ↑ 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=0.010..0.011 rows=1 loops=1,000)

  • Index Cond: (nro_patronal = empresas_sucursales.nro_patronal)
  • Heap Fetches: 36
44. 6.941 174.000 ↑ 31.0 1 1,000

Nested Loop (cost=0.43..2,104.36 rows=31 width=16) (actual time=0.077..0.174 rows=1 loops=1,000)

45. 15.949 88.000 ↑ 60.0 1 1,000

Index Scan using empleados_npatronal_idx on empleados empleados_1 (cost=0.00..1,956.46 rows=60 width=24) (actual time=0.021..0.088 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. 4.599 72.051 ↑ 1.0 1 1,533

Limit (cost=14.13..14.13 rows=1 width=20) (actual time=0.047..0.047 rows=1 loops=1,533)

48. 15.330 67.452 ↑ 1.0 1 1,533

Sort (cost=14.13..14.13 rows=1 width=20) (actual time=0.044..0.044 rows=1 loops=1,533)

  • Sort Key: empleados_movimientos_2.fecha, empleados_movimientos_2.id
  • Sort Method: quicksort Memory: 25kB
49. 7.665 52.122 ↑ 1.0 1 1,533

Result (cost=0.43..14.12 rows=1 width=20) (actual time=0.030..0.034 rows=1 loops=1,533)

  • One-Time Filter: (empleados_1.empresa_id = emp.id)
50. 30.817 44.457 ↑ 1.0 1 1,533

Index Scan using empleados_movimientos_empleado_id_tipo_idx on empleados_movimientos empleados_movimientos_2 (cost=0.43..14.11 rows=1 width=20) (actual time=0.027..0.029 rows=1 loops=1,533)

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

SubPlan (forIndex Scan)

52. 13.640 13.640 ↓ 0.0 0 1,705

Index Scan using multas_id_registro_multado_idx on multas multas_2 (cost=0.00..4.02 rows=1 width=8) (actual time=0.008..0.008 rows=0 loops=1,705)

  • Index Cond: (id_registro_multado = empleados_movimientos_2.id)
  • Filter: ((estado IS NULL) AND (idtipo_multa = 11))
  • Rows Removed by Filter: 0
53. 79.059 79.059 ↑ 1.0 1 1,387

Index Only Scan using persons_id_sexo_idx on persons (cost=0.43..2.46 rows=1 width=8) (actual time=0.056..0.057 rows=1 loops=1,387)

  • Index Cond: ((id = empleados_1.persona_id) AND (sexo = 'M'::text))
  • Heap Fetches: 79
54. 4.000 135.000 ↑ 1.0 1 1,000

Aggregate (cost=2,107.03..2,107.04 rows=1 width=8) (actual time=0.134..0.135 rows=1 loops=1,000)

55. 15.000 131.000 ↓ 0.0 0 1,000

Nested Loop (cost=0.72..2,106.95 rows=29 width=8) (actual time=0.082..0.131 rows=0 loops=1,000)

56. 9.000 9.000 ↑ 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=0.004..0.009 rows=1 loops=1,000)

  • Index Cond: (nro_patronal = empresas_sucursales.nro_patronal)
  • Heap Fetches: 36
57. 19.743 107.000 ↓ 0.0 0 1,000

Nested Loop (cost=0.43..2,104.36 rows=29 width=16) (actual time=0.058..0.107 rows=0 loops=1,000)

58. 15.279 72.000 ↑ 60.0 1 1,000

Index Scan using empleados_npatronal_idx on empleados empleados_2 (cost=0.00..1,956.46 rows=60 width=24) (actual time=0.028..0.072 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. 3.066 56.721 ↑ 1.0 1 1,533

Limit (cost=14.13..14.13 rows=1 width=20) (actual time=0.037..0.037 rows=1 loops=1,533)

61. 12.264 53.655 ↑ 1.0 1 1,533

Sort (cost=14.13..14.13 rows=1 width=20) (actual time=0.035..0.035 rows=1 loops=1,533)

  • Sort Key: empleados_movimientos_3.fecha, empleados_movimientos_3.id
  • Sort Method: quicksort Memory: 25kB
62. 7.665 41.391 ↑ 1.0 1 1,533

Result (cost=0.43..14.12 rows=1 width=20) (actual time=0.023..0.027 rows=1 loops=1,533)

  • One-Time Filter: (empleados_2.empresa_id = emp.id)
63. 21.791 33.726 ↑ 1.0 1 1,533

Index Scan using empleados_movimientos_empleado_id_tipo_idx on empleados_movimientos empleados_movimientos_3 (cost=0.43..14.11 rows=1 width=20) (actual time=0.020..0.022 rows=1 loops=1,533)

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

SubPlan (forIndex Scan)

65. 11.935 11.935 ↓ 0.0 0 1,705

Index Scan using multas_id_registro_multado_idx on multas multas_3 (cost=0.00..4.02 rows=1 width=8) (actual time=0.007..0.007 rows=0 loops=1,705)

  • Index Cond: (id_registro_multado = empleados_movimientos_3.id)
  • Filter: ((estado IS NULL) AND (idtipo_multa = 11))
  • Rows Removed by Filter: 0
66. 15.257 15.257 ↓ 0.0 0 1,387

Index Only Scan using persons_id_sexo_idx on persons persons_1 (cost=0.43..2.46 rows=1 width=8) (actual time=0.011..0.011 rows=0 loops=1,387)

  • Index Cond: ((id = empleados_2.persona_id) AND (sexo = 'F'::text))
  • Heap Fetches: 22
67. 3.000 39.000 ↑ 1.0 1 1,000

Limit (cost=7.53..7.53 rows=1 width=27) (actual time=0.038..0.039 rows=1 loops=1,000)

68. 8.000 36.000 ↑ 2.0 1 1,000

Sort (cost=7.53..7.53 rows=2 width=27) (actual time=0.036..0.036 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. 5.973 28.000 ↑ 2.0 1 1,000

Hash Join (cost=1.57..7.52 rows=2 width=27) (actual time=0.025..0.028 rows=1 loops=1,000)

  • Hash Cond: (cambio_situacion_empresa.situacion_act = situacion_emp.id_situacion)
70. 22.000 22.000 ↑ 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=0.021..0.022 rows=1 loops=1,000)

  • Index Cond: (nro_patronal = empresas_sucursales.nro_patronal)
71. 0.014 0.027 ↑ 1.0 7 1

Hash (cost=1.07..1.07 rows=7 width=15) (actual time=0.027..0.027 rows=7 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 1kB
72. 0.013 0.013 ↑ 1.0 7 1

Seq Scan on situacion_emp (cost=0.00..1.07 rows=7 width=15) (actual time=0.006..0.013 rows=7 loops=1)

73. 0.000 0.000 ↓ 0.0 0

Sort (cost=6,239,313.83..6,239,315.71 rows=753 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..6,239,277.85 rows=753 width=471) (never executed)

75. 0.000 0.000 ↓ 0.0 0

Nested Loop Left Join (cost=14.41..4,940.23 rows=753 width=451) (never executed)

76. 0.000 0.000 ↓ 0.0 0

Nested Loop Left Join (cost=14.41..4,909.52 rows=753 width=444) (never executed)

77. 0.000 0.000 ↓ 0.0 0

Hash Left Join (cost=14.41..4,858.81 rows=753 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..4,847.06 rows=753 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..4,824.03 rows=753 width=343) (never executed)

80. 0.000 0.000 ↓ 0.0 0

Nested Loop Left Join (cost=0.29..4,803.17 rows=753 width=329) (never executed)

81. 0.000 0.000 ↓ 0.0 0

Nested Loop (cost=0.29..4,782.32 rows=753 width=314) (never executed)

82. 0.000 0.000 ↓ 0.0 0

Seq Scan on empresas_sucursales empresas_sucursales_1 (cost=0.00..3,035.72 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

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=1,959.51..1,959.52 rows=1 width=8) (never executed)

95. 0.000 0.000 ↓ 0.0 0

Nested Loop (cost=0.29..1,959.36 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=0.00..1,956.46 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=14.13..14.13 rows=1 width=20) (never executed)

100. 0.000 0.000 ↓ 0.0 0

Sort (cost=14.13..14.13 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..14.12 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_idx on empleados_movimientos empleados_movimientos_4 (cost=0.43..14.11 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=2,098.11..2,098.14 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..2,096.63 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=14.13..14.13 rows=1 width=20) (never executed)

109. 0.000 0.000 ↓ 0.0 0

Sort (cost=14.13..14.13 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_idx on empleados_movimientos empleados_movimientos_5 (cost=0.43..14.12 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=2,107.05..2,107.06 rows=1 width=8) (never executed)

114. 0.000 0.000 ↓ 0.0 0

Nested Loop (cost=0.72..2,106.97 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=0.43..2,104.36 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=0.00..1,956.46 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=14.13..14.13 rows=1 width=20) (never executed)

120. 0.000 0.000 ↓ 0.0 0

Sort (cost=14.13..14.13 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..14.12 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_idx on empleados_movimientos empleados_movimientos_6 (cost=0.43..14.11 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=2,107.03..2,107.04 rows=1 width=8) (never executed)

127. 0.000 0.000 ↓ 0.0 0

Nested Loop (cost=0.72..2,106.95 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=0.43..2,104.36 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=0.00..1,956.46 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=14.13..14.13 rows=1 width=20) (never executed)

133. 0.000 0.000 ↓ 0.0 0

Sort (cost=14.13..14.13 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..14.12 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_idx on empleados_movimientos empleados_movimientos_7 (cost=0.43..14.11 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)