explain.depesz.com

PostgreSQL's explain analyze made readable

Result: GP1 : Optimization for: Optimization for: Optimization for: Optimization for: plan #Uty0; plan #oKUj; plan #1Rpu; plan #sxgX

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Optimization path:

Optimization(s) for this plan:

# exclusive inclusive rows x rows loops node
1. 0.035 22,947.374 ↑ 1.0 100 1

Limit (cost=1,969,150.99..1,999,429.06 rows=100 width=843) (actual time=22,898.863..22,947.374 rows=100 loops=1)

2. 0.119 22,947.339 ↑ 6,521.7 100 1

Subquery Scan on final (cost=1,969,150.99..199,433,671.66 rows=652,170 width=843) (actual time=22,898.862..22,947.339 rows=100 loops=1)

3. 2.067 22,947.220 ↑ 6,521.7 100 1

Nested Loop Left Join (cost=1,969,150.99..199,414,106.56 rows=652,170 width=891) (actual time=22,898.859..22,947.220 rows=100 loops=1)

4. 0.079 22,944.453 ↑ 6,521.7 100 1

Nested Loop Left Join (cost=1,969,142.53..193,714,140.76 rows=652,170 width=747) (actual time=22,898.808..22,944.453 rows=100 loops=1)

5. 0.128 22,944.274 ↑ 6,521.7 100 1

Nested Loop (cost=1,969,142.25..193,516,869.40 rows=652,170 width=747) (actual time=22,898.804..22,944.274 rows=100 loops=1)

6. 0.116 22,944.046 ↑ 6,521.7 100 1

Nested Loop (cost=1,969,142.11..193,409,844.45 rows=652,170 width=727) (actual time=22,898.799..22,944.046 rows=100 loops=1)

7. 0.087 22,943.830 ↑ 27,173.8 100 1

Hash Join (cost=1,969,141.97..192,980,643.73 rows=2,717,375 width=727) (actual time=22,898.793..22,943.830 rows=100 loops=1)

  • Hash Cond: (COALESCE(sistema_de_gestao.hospital_id, valor_esperado.hospital_id) = hospital.id)
8. 0.120 22,943.736 ↑ 5,434,749.2 100 1

Hash Full Join (cost=1,969,140.95..191,523,790.25 rows=543,474,916 width=607) (actual time=22,898.780..22,943.736 rows=100 loops=1)

  • Hash Cond: ((CASE WHEN (remessa.rem_numero ~ '^[0-9]+$'::text) THEN (concat_immutable(VARIADIC ARRAY[(remessa.sistema_de_gestao_id)::text, remessa.rem_numero]))::numeric ELSE (concat_immutable(VARIADIC ARRAY[(remessa.sistema_de_gestao_id)::text, (abs(((('x'::text || substr(md5(remessa.rem_numero), 1, 16)))::bit(16))::integer))::text]))::numeric END) = valor_esperado.entidade_id)
9. 44.811 22,816.373 ↑ 28,872.2 100 1

GroupAggregate (cost=1,945,368.23..172,441,222.60 rows=2,887,215 width=499) (actual time=22,771.516..22,816.373 rows=100 loops=1)

  • Group Key: remessa.id, justificativa.id, sistema_de_gestao.hospital_id, convenio_1.id, operadora_1.id, competencia_1.id, rpa.id
10. 6,147.058 22,770.618 ↑ 576.2 5,011 1

Sort (cost=1,945,368.23..1,952,586.27 rows=2,887,215 width=455) (actual time=22,769.890..22,770.618 rows=5,011 loops=1)

  • Sort Key: remessa.id, justificativa.id, sistema_de_gestao.hospital_id, convenio_1.id, operadora_1.id, competencia_1.id, rpa.id
  • Sort Method: external merge Disk: 592,912kB
11. 823.294 16,623.560 ↓ 1.0 2,986,665 1

Hash Left Join (cost=479,638.30..1,043,446.56 rows=2,887,215 width=455) (actual time=2,491.987..16,623.560 rows=2,986,665 loops=1)

  • Hash Cond: ((convenio_1.convnome = rpa.nome_convenio) AND (remessa.rem_numero = rpa.numero_remessa))
12. 597.293 15,800.265 ↓ 1.0 2,986,665 1

Nested Loop (cost=479,622.80..1,028,273.18 rows=2,887,215 width=259) (actual time=2,491.982..15,800.265 rows=2,986,665 loops=1)

  • Join Filter: (remessa.sistema_de_gestao_id = sistema_de_gestao.id)
13. 0.005 0.005 ↑ 1.0 1 1

Seq Scan on sistema_de_gestao (cost=0.00..1.01 rows=1 width=16) (actual time=0.004..0.005 rows=1 loops=1)

14. 725.807 15,202.967 ↓ 1.0 2,986,665 1

Hash Left Join (cost=479,622.80..992,181.98 rows=2,887,215 width=251) (actual time=2,491.976..15,202.967 rows=2,986,665 loops=1)

  • Hash Cond: ((remessa.rem_numero = justificativa.numero_remessa) AND (remessa.sistema_de_gestao_id = justificativa.sistema_de_gestao_id))
15. 687.871 14,477.151 ↓ 1.0 2,986,665 1

Hash Left Join (cost=479,621.48..977,022.73 rows=2,887,215 width=179) (actual time=2,491.961..14,477.151 rows=2,986,665 loops=1)

  • Hash Cond: (guia_convenio.recebimento_id = recebimento.id)
16. 786.940 13,787.983 ↓ 1.0 2,986,665 1

Hash Left Join (cost=479,336.95..969,156.88 rows=2,887,215 width=183) (actual time=2,490.656..13,787.983 rows=2,986,665 loops=1)

  • Hash Cond: (guia_convenio.guiprotocolo = protocolo_convenio.id)
17. 1,043.091 12,666.763 ↓ 1.0 2,986,665 1

Hash Join (cost=428,084.23..910,325.20 rows=2,887,215 width=183) (actual time=2,155.733..12,666.763 rows=2,986,665 loops=1)

  • Hash Cond: (guia_prestador.guiremessa = remessa.id)
18. 7,627.477 11,558.236 ↓ 1.0 2,986,788 1

Hash Left Join (cost=424,984.72..880,110.90 rows=2,887,215 width=46) (actual time=2,090.273..11,558.236 rows=2,986,788 loops=1)

  • Hash Cond: (guia_prestador.guiguiaassoc = guia_convenio.id)
19. 1,841.162 1,841.162 ↓ 1.0 2,986,788 1

Seq Scan on fiboguia guia_prestador (cost=0.00..393,423.23 rows=2,887,215 width=30) (actual time=0.018..1,841.162 rows=2,986,788 loops=1)

  • Filter: ((discriminador <> 'RECURSO'::text) AND (discriminador = 'PRESTADOR'::text))
  • Rows Removed by Filter: 2,748,076
20. 409.506 2,089.597 ↓ 1.0 2,503,840 1

Hash (cost=379,083.36..379,083.36 rows=2,500,109 width=24) (actual time=2,089.597..2,089.597 rows=2,503,840 loops=1)

  • Buckets: 2,097,152 Batches: 2 Memory Usage: 84,540kB
21. 1,680.091 1,680.091 ↓ 1.0 2,503,840 1

Seq Scan on fiboguia guia_convenio (cost=0.00..379,083.36 rows=2,500,109 width=24) (actual time=0.110..1,680.091 rows=2,503,840 loops=1)

  • Filter: (discriminador = 'CONVENIO'::text)
  • Rows Removed by Filter: 3,231,024
22. 17.053 65.436 ↑ 1.0 58,270 1

Hash (cost=2,371.12..2,371.12 rows=58,271 width=145) (actual time=65.436..65.436 rows=58,270 loops=1)

  • Buckets: 65,536 Batches: 1 Memory Usage: 11,877kB
23. 11.327 48.383 ↑ 1.0 58,270 1

Hash Join (cost=113.53..2,371.12 rows=58,271 width=145) (actual time=0.692..48.383 rows=58,270 loops=1)

  • Hash Cond: (remessa.operadora_id = operadora_1.id)
24. 12.748 37.045 ↑ 1.0 58,270 1

Hash Join (cost=111.45..2,202.57 rows=58,271 width=145) (actual time=0.677..37.045 rows=58,270 loops=1)

  • Hash Cond: (competencia_1.comp_convenio = convenio_1.convnome)
25. 11.654 24.175 ↑ 1.0 58,270 1

Hash Join (cost=92.92..2,027.86 rows=58,271 width=128) (actual time=0.552..24.175 rows=58,270 loops=1)

  • Hash Cond: (remessa.remcompetencia = competencia_1.id)
26. 11.977 11.977 ↑ 1.0 58,270 1

Seq Scan on fiboremessa remessa (cost=0.00..1,781.71 rows=58,271 width=117) (actual time=0.004..11.977 rows=58,270 loops=1)

  • Filter: ((rem_numero IS NOT NULL) AND (sistema_de_gestao_id IS NOT NULL))
  • Rows Removed by Filter: 1
27. 0.282 0.544 ↑ 1.0 2,441 1

Hash (cost=62.41..62.41 rows=2,441 width=19) (actual time=0.544..0.544 rows=2,441 loops=1)

  • Buckets: 4,096 Batches: 1 Memory Usage: 156kB
28. 0.262 0.262 ↑ 1.0 2,441 1

Seq Scan on fibocompetencia competencia_1 (cost=0.00..62.41 rows=2,441 width=19) (actual time=0.004..0.262 rows=2,441 loops=1)

29. 0.033 0.122 ↑ 1.0 201 1

Hash (cost=16.01..16.01 rows=201 width=28) (actual time=0.122..0.122 rows=201 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 20kB
30. 0.089 0.089 ↑ 1.0 201 1

Seq Scan on fiboconvenio convenio_1 (cost=0.00..16.01 rows=201 width=28) (actual time=0.004..0.089 rows=201 loops=1)

31. 0.005 0.011 ↑ 1.0 48 1

Hash (cost=1.48..1.48 rows=48 width=8) (actual time=0.011..0.011 rows=48 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 10kB
32. 0.006 0.006 ↑ 1.0 48 1

Seq Scan on fibooperadora operadora_1 (cost=0.00..1.48 rows=48 width=8) (actual time=0.003..0.006 rows=48 loops=1)

33. 207.633 334.280 ↑ 1.0 1,276,343 1

Hash (cost=35,298.43..35,298.43 rows=1,276,343 width=16) (actual time=334.280..334.280 rows=1,276,343 loops=1)

  • Buckets: 2,097,152 Batches: 1 Memory Usage: 74,617kB
34. 126.647 126.647 ↑ 1.0 1,276,343 1

Seq Scan on fiboprotocolo protocolo_convenio (cost=0.00..35,298.43 rows=1,276,343 width=16) (actual time=0.013..126.647 rows=1,276,343 loops=1)

35. 0.550 1.297 ↑ 1.0 5,668 1

Hash (cost=213.68..213.68 rows=5,668 width=12) (actual time=1.297..1.297 rows=5,668 loops=1)

  • Buckets: 8,192 Batches: 1 Memory Usage: 330kB
36. 0.747 0.747 ↑ 1.0 5,668 1

Seq Scan on recebimento (cost=0.00..213.68 rows=5,668 width=12) (actual time=0.005..0.747 rows=5,668 loops=1)

37. 0.004 0.009 ↑ 1.0 13 1

Hash (cost=1.13..1.13 rows=13 width=112) (actual time=0.009..0.009 rows=13 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 10kB
38. 0.005 0.005 ↑ 1.0 13 1

Seq Scan on fibojustifdifvaloresfaturados justificativa (cost=0.00..1.13 rows=13 width=112) (actual time=0.003..0.005 rows=13 loops=1)

39. 0.000 0.001 ↓ 0.0 0 1

Hash (cost=12.20..12.20 rows=220 width=272) (actual time=0.001..0.001 rows=0 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 8kB
40. 0.001 0.001 ↓ 0.0 0 1

Seq Scan on detalhes_quitacao_rpa rpa (cost=0.00..12.20 rows=220 width=272) (actual time=0.001..0.001 rows=0 loops=1)

41.          

SubPlan (for GroupAggregate)

42. 0.100 0.200 ↑ 1.0 1 100

Aggregate (cost=8.30..8.31 rows=1 width=32) (actual time=0.002..0.002 rows=1 loops=100)

43. 0.100 0.100 ↓ 0.0 0 100

Index Scan using idx_recebimento_remessa_remessa_id_idx on recebimento_remessa lancamentos_manuais_na_remessa (cost=0.28..8.29 rows=1 width=7) (actual time=0.001..0.001 rows=0 loops=100)

  • Index Cond: (remessa.id = remessa_id)
44. 0.000 0.000 ↓ 0.0 0

Index Only Scan using idx_recebimento_remessa_remessa_id_idx on recebimento_remessa lancamentos_manuais_na_remessa_1 (cost=0.28..8.29 rows=1 width=0) (never executed)

  • Index Cond: (remessa_id = remessa.id)
  • Heap Fetches: 0
45. 0.085 0.085 ↑ 1.0 873 1

Seq Scan on recebimento_remessa lancamentos_manuais_na_remessa_2 (cost=0.00..19.73 rows=873 width=8) (actual time=0.005..0.085 rows=873 loops=1)

46. 0.100 0.200 ↑ 1.0 1 100

Aggregate (cost=16.62..16.63 rows=1 width=32) (actual time=0.002..0.002 rows=1 loops=100)

47. 0.000 0.100 ↓ 0.0 0 100

Nested Loop (cost=0.56..16.61 rows=1 width=7) (actual time=0.001..0.001 rows=0 loops=100)

48. 0.100 0.100 ↓ 0.0 0 100

Index Scan using lancamento_remessa_remessa_id_fato_contabil_id_unique on lancamento_remessa lancamentos_acrescimos_na_remessa (cost=0.28..8.30 rows=1 width=15) (actual time=0.001..0.001 rows=0 loops=100)

  • Index Cond: (remessa.id = remessa_id)
49. 0.003 0.003 ↑ 1.0 1 1

Index Scan using fato_contabil_pkey on fato_contabil (cost=0.28..8.30 rows=1 width=8) (actual time=0.003..0.003 rows=1 loops=1)

  • Index Cond: (id = lancamentos_acrescimos_na_remessa.fato_contabil_id)
  • Filter: (tipo = 'Acrescimo'::text)
50. 0.000 0.100 ↑ 1.0 1 100

Aggregate (cost=16.66..16.67 rows=1 width=32) (actual time=0.001..0.001 rows=1 loops=100)

51. 0.000 0.100 ↓ 0.0 0 100

Nested Loop (cost=0.56..16.65 rows=1 width=7) (actual time=0.001..0.001 rows=0 loops=100)

52. 0.100 0.100 ↓ 0.0 0 100

Index Scan using lancamento_remessa_remessa_id_fato_contabil_id_unique on lancamento_remessa lancamentos_deducoes_na_remessa (cost=0.28..8.30 rows=1 width=15) (actual time=0.001..0.001 rows=0 loops=100)

  • Index Cond: (remessa.id = remessa_id)
53. 0.002 0.002 ↓ 0.0 0 1

Index Scan using fato_contabil_pkey on fato_contabil fato_contabil_1 (cost=0.28..8.30 rows=1 width=8) (actual time=0.002..0.002 rows=0 loops=1)

  • Index Cond: (id = lancamentos_deducoes_na_remessa.fato_contabil_id)
  • Filter: (tipo = 'Deducao'::text)
  • Rows Removed by Filter: 1
54. 0.000 0.000 ↓ 0.0 0

Index Only Scan using idx_lancamento_remessa_remessa_id_idx on lancamento_remessa lancamentos_fatos_contabeis_na_remessa (cost=0.28..8.30 rows=1 width=0) (never executed)

  • Index Cond: (remessa_id = remessa.id)
  • Heap Fetches: 0
55. 0.359 0.359 ↑ 1.0 3,982 1

Seq Scan on lancamento_remessa lancamentos_fatos_contabeis_na_remessa_1 (cost=0.00..77.82 rows=3,982 width=8) (actual time=0.003..0.359 rows=3,982 loops=1)

56. 12.069 127.243 ↑ 1.0 37,647 1

Hash (cost=23,302.13..23,302.13 rows=37,647 width=132) (actual time=127.243..127.243 rows=37,647 loops=1)

  • Buckets: 65,536 Batches: 1 Memory Usage: 6,520kB
57. 6.036 115.174 ↑ 1.0 37,647 1

Subquery Scan on valor_esperado (cost=119.63..23,302.13 rows=37,647 width=132) (actual time=0.839..115.174 rows=37,647 loops=1)

58. 82.004 109.138 ↑ 1.0 37,647 1

Hash Left Join (cost=119.63..22,925.66 rows=37,647 width=140) (actual time=0.838..109.138 rows=37,647 loops=1)

  • Hash Cond: ((COALESCE(convenio_2.convnome, valor_faturado.convenio_integracao) = competencia_2.comp_convenio) AND (valor_faturado.competencia = competencia_2.comp_desc))
59. 8.200 26.460 ↑ 1.0 37,647 1

Hash Join (cost=20.60..1,452.52 rows=37,647 width=131) (actual time=0.137..26.460 rows=37,647 loops=1)

  • Hash Cond: (operadora_2.opconvenio = convenio_2.id)
60. 12.130 18.144 ↑ 1.0 37,647 1

Hash Join (cost=2.08..1,333.10 rows=37,647 width=111) (actual time=0.019..18.144 rows=37,647 loops=1)

  • Hash Cond: (valor_faturado.id_operadora = operadora_2.id)
61. 6.002 6.002 ↑ 1.0 37,647 1

Seq Scan on fibovaloresfaturadoserp valor_faturado (cost=0.00..1,223.47 rows=37,647 width=103) (actual time=0.004..6.002 rows=37,647 loops=1)

  • Filter: (numero_remessa IS NOT NULL)
62. 0.005 0.012 ↑ 1.0 48 1

Hash (cost=1.48..1.48 rows=48 width=16) (actual time=0.012..0.012 rows=48 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 11kB
63. 0.007 0.007 ↑ 1.0 48 1

Seq Scan on fibooperadora operadora_2 (cost=0.00..1.48 rows=48 width=16) (actual time=0.003..0.007 rows=48 loops=1)

64. 0.029 0.116 ↑ 1.0 201 1

Hash (cost=16.01..16.01 rows=201 width=28) (actual time=0.116..0.116 rows=201 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 20kB
65. 0.087 0.087 ↑ 1.0 201 1

Seq Scan on fiboconvenio convenio_2 (cost=0.00..16.01 rows=201 width=28) (actual time=0.002..0.087 rows=201 loops=1)

66. 0.407 0.674 ↑ 1.0 2,441 1

Hash (cost=62.41..62.41 rows=2,441 width=27) (actual time=0.674..0.674 rows=2,441 loops=1)

  • Buckets: 4,096 Batches: 1 Memory Usage: 175kB
67. 0.267 0.267 ↑ 1.0 2,441 1

Seq Scan on fibocompetencia competencia_2 (cost=0.00..62.41 rows=2,441 width=27) (actual time=0.003..0.267 rows=2,441 loops=1)

68. 0.002 0.007 ↑ 1.0 1 1

Hash (cost=1.01..1.01 rows=1 width=136) (actual time=0.007..0.007 rows=1 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 9kB
69. 0.005 0.005 ↑ 1.0 1 1

Seq Scan on fibohospital hospital (cost=0.00..1.01 rows=1 width=136) (actual time=0.005..0.005 rows=1 loops=1)

70. 0.100 0.100 ↑ 1.0 1 100

Index Scan using view_smartdata_operadoras_operadora_id_unique on view_smartdata_operadoras operadora (cost=0.14..0.16 rows=1 width=16) (actual time=0.001..0.001 rows=1 loops=100)

  • Index Cond: (operadora_id = COALESCE(operadora_1.id, valor_esperado.operadora_id))
71. 0.100 0.100 ↑ 1.0 1 100

Index Scan using fiboconvenio_pkey on fiboconvenio convenio (cost=0.14..0.16 rows=1 width=36) (actual time=0.001..0.001 rows=1 loops=100)

  • Index Cond: (id = COALESCE(convenio_1.id, valor_esperado.convenio_id))
72. 0.100 0.100 ↑ 1.0 1 100

Index Scan using fibocompetencia_pkey on fibocompetencia competencia (cost=0.28..0.30 rows=1 width=16) (actual time=0.001..0.001 rows=1 loops=100)

  • Index Cond: (COALESCE(competencia_1.id, valor_esperado.competencia_id) = id)
73. 0.100 0.700 ↑ 1.0 1 100

Result (cost=8.46..8.46 rows=1 width=1) (actual time=0.007..0.007 rows=1 loops=100)

74.          

Initplan (for Result)

75. 0.600 0.600 ↑ 1.0 1 100

Index Scan using idx_fiboarquivo_numero_remessa_idx on fiboarquivo arquivo (cost=0.43..8.46 rows=1 width=0) (actual time=0.006..0.006 rows=1 loops=100)

  • Index Cond: (COALESCE($9, $10) = numero_remessa)
  • Filter: ((cnpj_hospital = $11) AND (lower(metadado_nome_convenio) = lower($12)))
Planning time : 4.347 ms
Execution time : 23,027.266 ms