explain.depesz.com

PostgreSQL's explain analyze made readable

Result: 0kJf

Settings
# exclusive inclusive rows x rows loops node
1. 1,207.427 3,906.680 ↓ 1.0 678,869 1

Hash Join (cost=9,945.73..215,218.66 rows=653,733 width=139) (actual time=376.885..3,906.680 rows=678,869 loops=1)

  • Hash Cond: (empleado.nropatronal = cabsueldos.nropatronal)
2. 2,322.415 2,322.415 ↑ 1.0 679,824 1

Seq Scan on empleado (cost=0.00..136,517.58 rows=701,048 width=42) (actual time=0.023..2,322.415 rows=679,824 loops=1)

  • Filter: (((documento)::text <> '0'::text) AND (anho = 2018))
  • Rows Removed by Filter: 2672835
3. 54.800 376.838 ↓ 1.0 41,466 1

Hash (cost=9,448.47..9,448.47 rows=39,781 width=105) (actual time=376.838..376.838 rows=41,466 loops=1)

  • Buckets: 4096 Batches: 1 Memory Usage: 5662kB
4. 117.766 322.038 ↓ 1.0 41,466 1

Hash Left Join (cost=3,478.49..9,448.47 rows=39,781 width=105) (actual time=158.549..322.038 rows=41,466 loops=1)

  • Hash Cond: (cabsueldos.nropatronal = empresas_sucursales.nro_patronal)
5. 45.820 45.820 ↓ 1.0 41,466 1

Index Only Scan using cabsueldos_nropatronal_anho_idx on cabsueldos (cost=0.42..5,125.05 rows=39,781 width=8) (actual time=0.018..45.820 rows=41,466 loops=1)

  • Index Cond: ((anho = 2018) AND (confirmado = 1))
  • Heap Fetches: 0
6. 73.199 158.452 ↑ 1.0 58,981 1

Hash (cost=2,740.81..2,740.81 rows=58,981 width=97) (actual time=158.452..158.452 rows=58,981 loops=1)

  • Buckets: 8192 Batches: 1 Memory Usage: 7591kB
7. 85.253 85.253 ↑ 1.0 58,981 1

Seq Scan on empresas_sucursales (cost=0.00..2,740.81 rows=58,981 width=97) (actual time=0.005..85.253 rows=58,981 loops=1)