explain.depesz.com

PostgreSQL's explain analyze made readable

Result: 8BPr : Optimization for: Optimization for: Optimization for: Optimization for: Optimization for: plan #Uty0; plan #oKUj; plan #1Rpu; plan #sxgX; plan #GP1

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Optimization path:

Optimization(s) for this plan:

# exclusive inclusive rows x rows loops node
1. 0.036 12,575.414 ↑ 1.0 100 1

Limit (cost=1,999,493.61..2,029,771.67 rows=100 width=843) (actual time=12,525.767..12,575.414 rows=100 loops=1)

2. 0.117 12,575.378 ↑ 6,791.8 100 1

Subquery Scan on final (cost=1,999,493.61..207,641,736.14 rows=679,179 width=843) (actual time=12,525.765..12,575.378 rows=100 loops=1)

3. 2.195 12,575.261 ↑ 6,791.8 100 1

Nested Loop Left Join (cost=1,999,493.61..207,621,360.77 rows=679,179 width=891) (actual time=12,525.762..12,575.261 rows=100 loops=1)

4. 0.086 12,571.766 ↑ 6,791.8 100 1

Nested Loop Left Join (cost=1,999,485.15..201,685,336.31 rows=679,179 width=747) (actual time=12,525.701..12,571.766 rows=100 loops=1)

5. 0.129 12,571.580 ↑ 6,791.8 100 1

Nested Loop (cost=1,999,484.87..201,479,895.15 rows=679,179 width=747) (actual time=12,525.696..12,571.580 rows=100 loops=1)

6. 0.127 12,571.351 ↑ 6,791.8 100 1

Nested Loop (cost=1,999,484.73..201,368,437.86 rows=679,179 width=727) (actual time=12,525.691..12,571.351 rows=100 loops=1)

7. 0.092 12,571.124 ↑ 28,299.1 100 1

Hash Join (cost=1,999,484.59..200,921,462.43 rows=2,829,911 width=727) (actual time=12,525.685..12,571.124 rows=100 loops=1)

  • Hash Cond: (COALESCE(sistema_de_gestao.hospital_id, valor_esperado.hospital_id) = hospital.id)
8. 0.150 12,571.011 ↑ 5,659,821.7 100 1

Hash Full Join (cost=1,999,483.56..199,404,275.44 rows=565,982,174 width=607) (actual time=12,525.655..12,571.011 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. 45.238 12,416.608 ↑ 30,067.8 100 1

GroupAggregate (cost=1,975,710.85..179,532,414.27 rows=3,006,785 width=499) (actual time=12,371.355..12,416.608 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. 2,009.775 12,370.262 ↑ 600.0 5,011 1

Sort (cost=1,975,710.85..1,983,227.81 rows=3,006,785 width=455) (actual time=12,369.544..12,370.262 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. 825.429 10,360.487 ↑ 1.0 2,986,665 1

Hash Left Join (cost=479,638.30..1,035,557.44 rows=3,006,785 width=455) (actual time=2,621.901..10,360.487 rows=2,986,665 loops=1)

  • Hash Cond: ((convenio_1.convnome = rpa.nome_convenio) AND (remessa.rem_numero = rpa.numero_remessa))
12. 590.880 9,535.056 ↑ 1.0 2,986,665 1

Nested Loop (cost=479,622.80..1,019,756.32 rows=3,006,785 width=259) (actual time=2,621.896..9,535.056 rows=2,986,665 loops=1)

  • Join Filter: (remessa.sistema_de_gestao_id = sistema_de_gestao.id)
13. 0.009 0.009 ↑ 1.0 1 1

Seq Scan on sistema_de_gestao (cost=0.00..1.01 rows=1 width=16) (actual time=0.008..0.009 rows=1 loops=1)

14. 720.728 8,944.167 ↑ 1.0 2,986,665 1

Hash Left Join (cost=479,622.80..982,170.49 rows=3,006,785 width=251) (actual time=2,621.885..8,944.167 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. 655.836 8,223.425 ↑ 1.0 2,986,665 1

Hash Left Join (cost=479,621.48..966,383.50 rows=3,006,785 width=179) (actual time=2,621.865..8,223.425 rows=2,986,665 loops=1)

  • Hash Cond: (guia_convenio.recebimento_id = recebimento.id)
16. 815.181 7,565.964 ↑ 1.0 2,986,665 1

Hash Left Join (cost=479,336.95..958,203.68 rows=3,006,785 width=183) (actual time=2,620.230..7,565.964 rows=2,986,665 loops=1)

  • Hash Cond: (guia_convenio.guiprotocolo = protocolo_convenio.id)
17. 1,058.040 6,359.345 ↑ 1.0 2,986,665 1

Hash Join (cost=428,084.23..899,058.13 rows=3,006,785 width=183) (actual time=2,228.153..6,359.345 rows=2,986,665 loops=1)

  • Hash Cond: (guia_prestador.guiremessa = remessa.id)
18. 1,237.923 5,229.045 ↑ 1.0 2,986,788 1

Hash Left Join (cost=424,984.72..867,720.90 rows=3,006,785 width=46) (actual time=2,155.868..5,229.045 rows=2,986,788 loops=1)

  • Hash Cond: (guia_prestador.guiguiaassoc = guia_convenio.id)
19. 1,835.980 1,835.980 ↑ 1.0 2,986,788 1

Seq Scan on fiboguia guia_prestador (cost=0.00..379,083.36 rows=3,006,785 width=30) (actual time=0.009..1,835.980 rows=2,986,788 loops=1)

  • Filter: (discriminador = 'PRESTADOR'::text)
  • Rows Removed by Filter: 2,748,076
20. 434.233 2,155.142 ↓ 1.0 2,503,840 1

Hash (cost=379,083.36..379,083.36 rows=2,500,109 width=24) (actual time=2,155.142..2,155.142 rows=2,503,840 loops=1)

  • Buckets: 2,097,152 Batches: 2 Memory Usage: 84,540kB
21. 1,720.909 1,720.909 ↓ 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=0.111..1,720.909 rows=2,503,840 loops=1)

  • Filter: (discriminador = 'CONVENIO'::text)
  • Rows Removed by Filter: 3,231,024
22. 18.717 72.260 ↑ 1.0 58,270 1

Hash (cost=2,371.12..2,371.12 rows=58,271 width=145) (actual time=72.260..72.260 rows=58,270 loops=1)

  • Buckets: 65,536 Batches: 1 Memory Usage: 11,877kB
23. 11.371 53.543 ↑ 1.0 58,270 1

Hash Join (cost=113.53..2,371.12 rows=58,271 width=145) (actual time=0.684..53.543 rows=58,270 loops=1)

  • Hash Cond: (remessa.operadora_id = operadora_1.id)
24. 13.356 42.160 ↑ 1.0 58,270 1

Hash Join (cost=111.45..2,202.57 rows=58,271 width=145) (actual time=0.669..42.160 rows=58,270 loops=1)

  • Hash Cond: (competencia_1.comp_convenio = convenio_1.convnome)
25. 12.120 28.682 ↑ 1.0 58,270 1

Hash Join (cost=92.92..2,027.86 rows=58,271 width=128) (actual time=0.544..28.682 rows=58,270 loops=1)

  • Hash Cond: (remessa.remcompetencia = competencia_1.id)
26. 16.026 16.026 ↑ 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..16.026 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. 0.276 0.536 ↑ 1.0 2,441 1

Hash (cost=62.41..62.41 rows=2,441 width=19) (actual time=0.536..0.536 rows=2,441 loops=1)

  • Buckets: 4,096 Batches: 1 Memory Usage: 156kB
28. 0.260 0.260 ↑ 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..0.260 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 0.012 ↑ 1.0 48 1

Hash (cost=1.48..1.48 rows=48 width=8) (actual time=0.012..0.012 rows=48 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 10kB
32. 0.007 0.007 ↑ 1.0 48 1

Seq Scan on fibooperadora operadora_1 (cost=0.00..1.48 rows=48 width=8) (actual time=0.003..0.007 rows=48 loops=1)

33. 222.861 391.438 ↑ 1.0 1,276,343 1

Hash (cost=35,298.43..35,298.43 rows=1,276,343 width=16) (actual time=391.438..391.438 rows=1,276,343 loops=1)

  • Buckets: 2,097,152 Batches: 1 Memory Usage: 74,617kB
34. 168.577 168.577 ↑ 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=0.028..168.577 rows=1,276,343 loops=1)

35. 0.562 1.625 ↑ 1.0 5,668 1

Hash (cost=213.68..213.68 rows=5,668 width=12) (actual time=1.625..1.625 rows=5,668 loops=1)

  • Buckets: 8,192 Batches: 1 Memory Usage: 330kB
36. 1.063 1.063 ↑ 1.0 5,668 1

Seq Scan on recebimento (cost=0.00..213.68 rows=5,668 width=12) (actual time=0.007..1.063 rows=5,668 loops=1)

37. 0.004 0.014 ↑ 1.0 13 1

Hash (cost=1.13..1.13 rows=13 width=112) (actual time=0.014..0.014 rows=13 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 10kB
38. 0.010 0.010 ↑ 1.0 13 1

Seq Scan on fibojustifdifvaloresfaturados justificativa (cost=0.00..1.13 rows=13 width=112) (actual time=0.008..0.010 rows=13 loops=1)

39. 0.000 0.002 ↓ 0.0 0 1

Hash (cost=12.20..12.20 rows=220 width=272) (actual time=0.002..0.002 rows=0 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 8kB
40. 0.002 0.002 ↓ 0.0 0 1

Seq Scan on detalhes_quitacao_rpa rpa (cost=0.00..12.20 rows=220 width=272) (actual time=0.002..0.002 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. 0.131 0.131 ↑ 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=0.024..0.131 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. 0.010 0.010 ↑ 1.0 1 1

Index Scan using fato_contabil_pkey on fato_contabil (cost=0.28..8.30 rows=1 width=8) (actual time=0.010..0.010 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. 0.477 0.477 ↑ 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..0.477 rows=3,982 loops=1)

56. 15.439 154.253 ↑ 1.0 37,647 1

Hash (cost=23,302.13..23,302.13 rows=37,647 width=132) (actual time=154.253..154.253 rows=37,647 loops=1)

  • Buckets: 65,536 Batches: 1 Memory Usage: 6,520kB
57. 6.709 138.814 ↑ 1.0 37,647 1

Subquery Scan on valor_esperado (cost=119.63..23,302.13 rows=37,647 width=132) (actual time=1.976..138.814 rows=37,647 loops=1)

58. 95.431 132.105 ↑ 1.0 37,647 1

Hash Left Join (cost=119.63..22,925.66 rows=37,647 width=140) (actual time=1.975..132.105 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. 9.504 35.113 ↑ 1.0 37,647 1

Hash Join (cost=20.60..1,452.52 rows=37,647 width=131) (actual time=0.358..35.113 rows=37,647 loops=1)

  • Hash Cond: (operadora_2.opconvenio = convenio_2.id)
60. 14.082 25.299 ↑ 1.0 37,647 1

Hash Join (cost=2.08..1,333.10 rows=37,647 width=111) (actual time=0.042..25.299 rows=37,647 loops=1)

  • Hash Cond: (valor_faturado.id_operadora = operadora_2.id)
61. 11.192 11.192 ↑ 1.0 37,647 1

Seq Scan on fibovaloresfaturadoserp valor_faturado (cost=0.00..1,223.47 rows=37,647 width=103) (actual time=0.011..11.192 rows=37,647 loops=1)

  • Filter: (numero_remessa IS NOT NULL)
62. 0.012 0.025 ↑ 1.0 48 1

Hash (cost=1.48..1.48 rows=48 width=16) (actual time=0.025..0.025 rows=48 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 11kB
63. 0.013 0.013 ↑ 1.0 48 1

Seq Scan on fibooperadora operadora_2 (cost=0.00..1.48 rows=48 width=16) (actual time=0.006..0.013 rows=48 loops=1)

64. 0.064 0.310 ↑ 1.0 201 1

Hash (cost=16.01..16.01 rows=201 width=28) (actual time=0.310..0.310 rows=201 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 20kB
65. 0.246 0.246 ↑ 1.0 201 1

Seq Scan on fiboconvenio convenio_2 (cost=0.00..16.01 rows=201 width=28) (actual time=0.006..0.246 rows=201 loops=1)

66. 0.970 1.561 ↑ 1.0 2,441 1

Hash (cost=62.41..62.41 rows=2,441 width=27) (actual time=1.561..1.561 rows=2,441 loops=1)

  • Buckets: 4,096 Batches: 1 Memory Usage: 175kB
67. 0.591 0.591 ↑ 1.0 2,441 1

Seq Scan on fibocompetencia competencia_2 (cost=0.00..62.41 rows=2,441 width=27) (actual time=0.007..0.591 rows=2,441 loops=1)

68. 0.002 0.021 ↑ 1.0 1 1

Hash (cost=1.01..1.01 rows=1 width=136) (actual time=0.021..0.021 rows=1 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 9kB
69. 0.019 0.019 ↑ 1.0 1 1

Seq Scan on fibohospital hospital (cost=0.00..1.01 rows=1 width=136) (actual time=0.018..0.019 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. 0.000 1.300 ↑ 1.0 1 100

Result (cost=8.46..8.46 rows=1 width=1) (actual time=0.013..0.013 rows=1 loops=100)

74.          

Initplan (for Result)

75. 1.300 1.300 ↑ 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=0.013..0.013 rows=1 loops=100)

  • Index Cond: (COALESCE($9, $10) = numero_remessa)
  • Filter: ((cnpj_hospital = $11) AND (lower(metadado_nome_convenio) = lower($12)))
Planning time : 519.776 ms
Execution time : 12,655.241 ms