explain.depesz.com

PostgreSQL's explain analyze made readable

Result: EFIN

Settings
# exclusive inclusive rows x rows loops node
1. 6.711 366.024 ↑ 1.0 1,000 1

Limit (cost=0.58..1,978,529.63 rows=1,000 width=12) (actual time=1.124..366.024 rows=1,000 loops=1)

2. 10.220 359.313 ↑ 52.4 1,000 1

Nested Loop (cost=0.58..103,708,557.98 rows=52,417 width=12) (actual time=1.121..359.313 rows=1,000 loops=1)

3. 16.093 16.093 ↑ 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=44) (actual time=0.014..16.093 rows=1,000 loops=1)

  • Filter: (type = 1)
  • Rows Removed by Filter: 149
4. 32.000 32.000 ↑ 1.0 1 1,000

Index Scan using empresas_pk on empresas emp (cost=0.29..0.38 rows=1 width=20) (actual time=0.029..0.032 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))
5.          

SubPlan (forNested Loop)

6. 6.000 301.000 ↑ 1.0 1 1,000

Aggregate (cost=1,978.02..1,978.03 rows=1 width=8) (actual time=0.299..0.301 rows=1 loops=1,000)

7. 11.000 295.000 ↑ 61.0 1 1,000

Nested Loop (cost=0.29..1,977.87 rows=61 width=8) (actual time=0.151..0.295 rows=1 loops=1,000)

8. 5.000 5.000 ↑ 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=0.004..0.005 rows=1 loops=1,000)

  • Index Cond: (nro_patronal = empresas_sucursales.nro_patronal)
  • Heap Fetches: 0
9. 110.050 279.000 ↑ 61.0 1 1,000

Index Scan using empleados_npatronal_idx on empleados (cost=0.00..1,974.95 rows=61 width=24) (actual time=0.139..0.279 rows=1 loops=1,000)

  • Index Cond: (npatronal = empresas_sucursales.nro_patronal)
  • Filter: (SubPlan 2)
  • Rows Removed by Filter: 0
10.          

SubPlan (forIndex Scan)

11. 17.050 168.950 ↑ 1.0 1 1,550

Limit (cost=14.15..14.15 rows=1 width=20) (actual time=0.109..0.109 rows=1 loops=1,550)

12. 18.600 151.900 ↑ 1.0 1 1,550

Sort (cost=14.15..14.15 rows=1 width=20) (actual time=0.098..0.098 rows=1 loops=1,550)

  • Sort Key: empleados_movimientos.fecha, empleados_movimientos.id
  • Sort Method: quicksort Memory: 25kB
13. 10.850 133.300 ↑ 1.0 1 1,550

Result (cost=0.43..14.14 rows=1 width=20) (actual time=0.077..0.086 rows=1 loops=1,550)

  • One-Time Filter: (empleados.empresa_id = emp.id)
14. 93.193 122.450 ↑ 1.0 1 1,550

Index Scan using empleados_movimientos_empleado_id_tipo_idx on empleados_movimientos (cost=0.43..14.13 rows=1 width=20) (actual time=0.071..0.079 rows=1 loops=1,550)

  • Index Cond: (empleado_id = empleados.id)
  • Filter: (NOT (SubPlan 1))
  • Rows Removed by Filter: 0
15.          

SubPlan (forIndex Scan)

16. 29.257 29.257 ↓ 0.0 0 1,721

Index Scan using multas_id_registro_multado_idx on multas (cost=0.00..4.02 rows=1 width=8) (actual time=0.017..0.017 rows=0 loops=1,721)

  • Index Cond: (id_registro_multado = empleados_movimientos.id)
  • Filter: ((estado IS NULL) AND (idtipo_multa = 11))
  • Rows Removed by Filter: 0