explain.depesz.com

PostgreSQL's explain analyze made readable

Result: Wci8

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Optimization path:

Optimization(s) for this plan:

# exclusive inclusive rows x rows loops node
1. 0.034 16,750.618 ↑ 1.0 100 1

Limit (cost=3,134,485.43..3,164,763.51 rows=100 width=843) (actual time=16,699.101..16,750.618 rows=100 loops=1)

2. 0.121 16,750.584 ↑ 12,384.5 100 1

Subquery Scan on final (cost=3,134,485.43..378,112,757.77 rows=1,238,448 width=843) (actual time=16,699.100..16,750.584 rows=100 loops=1)

3. 2.643 16,750.463 ↑ 12,384.5 100 1

Nested Loop Left Join (cost=3,134,485.43..378,075,604.33 rows=1,238,448 width=891) (actual time=16,699.097..16,750.463 rows=100 loops=1)

4. 0.082 16,747.020 ↑ 12,384.5 100 1

Nested Loop Left Join (cost=3,134,476.98..367,251,568.81 rows=1,238,448 width=747) (actual time=16,698.647..16,747.020 rows=100 loops=1)

5. 0.134 16,746.838 ↑ 12,384.5 100 1

Nested Loop (cost=3,134,476.70..366,876,957.41 rows=1,238,448 width=747) (actual time=16,698.643..16,746.838 rows=100 loops=1)

6. 0.125 16,746.604 ↑ 12,384.5 100 1

Nested Loop (cost=3,134,476.55..366,673,720.76 rows=1,238,448 width=727) (actual time=16,698.638..16,746.604 rows=100 loops=1)

7. 0.097 16,746.379 ↑ 51,602.0 100 1

Hash Join (cost=3,134,476.41..365,858,683.60 rows=5,160,200 width=727) (actual time=16,698.631..16,746.379 rows=100 loops=1)

  • Hash Cond: (COALESCE(sistema_de_gestao.hospital_id, valor_esperado.hospital_id) = hospital.id)
8. 0.272 16,746.271 ↑ 10,320,399.9 100 1

Hash Full Join (cost=3,134,475.39..363,092,170.39 rows=1,032,039,987 width=607) (actual time=16,698.608..16,746.271 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. 48.309 16,614.881 ↑ 54,827.2 100 1

GroupAggregate (cost=3,110,702.68..326,876,408.09 rows=5,482,721 width=499) (actual time=16,567.320..16,614.881 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. 2,322.915 16,565.622 ↑ 1,094.1 5,011 1

Sort (cost=3,110,702.68..3,124,409.48 rows=5,482,721 width=455) (actual time=16,564.643..16,565.622 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: 576,288kB
11. 737.388 14,242.707 ↑ 1.8 2,987,733 1

Hash Left Join (cost=1,131,937.45..1,372,620.09 rows=5,482,721 width=455) (actual time=8,251.482..14,242.707 rows=2,987,733 loops=1)

  • Hash Cond: ((convenio_1.convnome = rpa.nome_convenio) AND (remessa.rem_numero = rpa.numero_remessa))
12. 565.148 13,505.318 ↑ 1.8 2,987,733 1

Nested Loop (cost=1,131,921.95..1,343,820.30 rows=5,482,721 width=259) (actual time=8,251.471..13,505.318 rows=2,987,733 loops=1)

  • Join Filter: (remessa.sistema_de_gestao_id = sistema_de_gestao.id)
13. 0.006 0.006 ↑ 1.0 1 1

Seq Scan on sistema_de_gestao (cost=0.00..1.01 rows=1 width=16) (actual time=0.004..0.006 rows=1 loops=1)

14. 692.220 12,940.164 ↑ 1.8 2,987,733 1

Hash Left Join (cost=1,131,921.95..1,275,285.28 rows=5,482,721 width=251) (actual time=8,251.464..12,940.164 rows=2,987,733 loops=1)

  • Hash Cond: ((remessa.rem_numero = justificativa.numero_remessa) AND (remessa.sistema_de_gestao_id = justificativa.sistema_de_gestao_id))
15. 1,098.497 12,247.930 ↑ 1.8 2,987,733 1

Hash Left Join (cost=1,131,920.63..1,246,499.59 rows=5,482,721 width=179) (actual time=8,251.440..12,247.930 rows=2,987,733 loops=1)

  • Hash Cond: (guia_convenio.guiprotocolo = protocolo_convenio.id)
16. 1,531.632 10,776.936 ↑ 1.8 2,987,733 1

Hash Join (cost=1,080,667.91..1,180,854.68 rows=5,482,721 width=179) (actual time=7,874.189..10,776.936 rows=2,987,733 loops=1)

  • Hash Cond: (guia_prestador.guiremessa = remessa.id)
17. 1,376.468 9,176.636 ↓ 1.0 5,491,696 1

Hash Right Join (cost=1,077,568.41..1,126,129.87 rows=5,482,721 width=42) (actual time=7,805.365..9,176.636 rows=5,491,696 loops=1)

  • Hash Cond: (recebimento.convenio_id = guia_convenio.id)
18. 0.831 0.831 ↑ 1.0 5,668 1

Seq Scan on recebimento (cost=0.00..213.68 rows=5,668 width=12) (actual time=0.017..0.831 rows=5,668 loops=1)

19. 977.999 7,799.337 ↓ 1.0 5,491,696 1

Hash (cost=960,846.39..960,846.39 rows=5,482,721 width=46) (actual time=7,799.337..7,799.337 rows=5,491,696 loops=1)

  • Buckets: 2,097,152 (originally 2097152) Batches: 8 (originally 4) Memory Usage: 114,689kB
20. 2,484.166 6,821.338 ↓ 1.0 5,491,696 1

Hash Left Join (cost=464,421.44..960,846.39 rows=5,482,721 width=46) (actual time=2,339.054..6,821.338 rows=5,491,696 loops=1)

  • Hash Cond: (guia_prestador.guiguiaassoc = guia_convenio.id)
21. 2,007.823 2,007.823 ↓ 1.0 5,491,696 1

Seq Scan on fiboguia guia_prestador (cost=0.00..379,069.80 rows=5,482,721 width=30) (actual time=0.020..2,007.823 rows=5,491,696 loops=1)

  • Filter: (discriminador <> 'RECURSO'::text)
  • Rows Removed by Filter: 243,168
22. 826.139 2,329.349 ↑ 1.0 5,734,864 1

Hash (cost=364,732.64..364,732.64 rows=5,734,864 width=16) (actual time=2,329.349..2,329.349 rows=5,734,864 loops=1)

  • Buckets: 4,194,304 Batches: 4 Memory Usage: 99,960kB
23. 1,503.210 1,503.210 ↑ 1.0 5,734,864 1

Seq Scan on fiboguia guia_convenio (cost=0.00..364,732.64 rows=5,734,864 width=16) (actual time=0.010..1,503.210 rows=5,734,864 loops=1)

24. 20.248 68.668 ↑ 1.0 58,270 1

Hash (cost=2,371.12..2,371.12 rows=58,271 width=145) (actual time=68.668..68.668 rows=58,270 loops=1)

  • Buckets: 65,536 Batches: 1 Memory Usage: 11,877kB
25. 11.130 48.420 ↑ 1.0 58,270 1

Hash Join (cost=113.53..2,371.12 rows=58,271 width=145) (actual time=0.757..48.420 rows=58,270 loops=1)

  • Hash Cond: (remessa.operadora_id = operadora_1.id)
26. 12.459 37.276 ↑ 1.0 58,270 1

Hash Join (cost=111.45..2,202.57 rows=58,271 width=145) (actual time=0.731..37.276 rows=58,270 loops=1)

  • Hash Cond: (competencia_1.comp_convenio = convenio_1.convnome)
27. 11.711 24.691 ↑ 1.0 58,270 1

Hash Join (cost=92.92..2,027.86 rows=58,271 width=128) (actual time=0.597..24.691 rows=58,270 loops=1)

  • Hash Cond: (remessa.remcompetencia = competencia_1.id)
28. 12.403 12.403 ↑ 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..12.403 rows=58,270 loops=1)

  • Filter: ((rem_numero IS NOT NULL) AND (sistema_de_gestao_id IS NOT NULL))
  • Rows Removed by Filter: 1
29. 0.312 0.577 ↑ 1.0 2,441 1

Hash (cost=62.41..62.41 rows=2,441 width=19) (actual time=0.577..0.577 rows=2,441 loops=1)

  • Buckets: 4,096 Batches: 1 Memory Usage: 156kB
30. 0.265 0.265 ↑ 1.0 2,441 1

Seq Scan on fibocompetencia competencia_1 (cost=0.00..62.41 rows=2,441 width=19) (actual time=0.003..0.265 rows=2,441 loops=1)

31. 0.036 0.126 ↑ 1.0 201 1

Hash (cost=16.01..16.01 rows=201 width=28) (actual time=0.126..0.126 rows=201 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 20kB
32. 0.090 0.090 ↑ 1.0 201 1

Seq Scan on fiboconvenio convenio_1 (cost=0.00..16.01 rows=201 width=28) (actual time=0.004..0.090 rows=201 loops=1)

33. 0.007 0.014 ↑ 1.0 48 1

Hash (cost=1.48..1.48 rows=48 width=8) (actual time=0.013..0.014 rows=48 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 10kB
34. 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=0.004..0.007 rows=48 loops=1)

35. 231.717 372.497 ↑ 1.0 1,276,343 1

Hash (cost=35,298.43..35,298.43 rows=1,276,343 width=16) (actual time=372.497..372.497 rows=1,276,343 loops=1)

  • Buckets: 2,097,152 Batches: 1 Memory Usage: 74,617kB
36. 140.780 140.780 ↑ 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=0.009..140.780 rows=1,276,343 loops=1)

37. 0.007 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. 0.007 0.007 ↑ 1.0 13 1

Seq Scan on fibojustifdifvaloresfaturados justificativa (cost=0.00..1.13 rows=13 width=112) (actual time=0.005..0.007 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. 0.087 0.087 ↑ 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..0.087 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. 0.004 0.004 ↑ 1.0 1 1

Index Scan using fato_contabil_pkey on fato_contabil (cost=0.28..8.30 rows=1 width=8) (actual time=0.004..0.004 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. 0.363 0.363 ↑ 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=0.002..0.363 rows=3,982 loops=1)

56. 14.831 131.118 ↑ 1.0 37,647 1

Hash (cost=23,302.13..23,302.13 rows=37,647 width=132) (actual time=131.118..131.118 rows=37,647 loops=1)

  • Buckets: 65,536 Batches: 1 Memory Usage: 6,520kB
57. 6.130 116.287 ↑ 1.0 37,647 1

Subquery Scan on valor_esperado (cost=119.63..23,302.13 rows=37,647 width=132) (actual time=1.096..116.287 rows=37,647 loops=1)

58. 82.257 110.157 ↑ 1.0 37,647 1

Hash Left Join (cost=119.63..22,925.66 rows=37,647 width=140) (actual time=1.095..110.157 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. 8.294 27.148 ↑ 1.0 37,647 1

Hash Join (cost=20.60..1,452.52 rows=37,647 width=131) (actual time=0.173..27.148 rows=37,647 loops=1)

  • Hash Cond: (operadora_2.opconvenio = convenio_2.id)
60. 12.571 18.724 ↑ 1.0 37,647 1

Hash Join (cost=2.08..1,333.10 rows=37,647 width=111) (actual time=0.036..18.724 rows=37,647 loops=1)

  • Hash Cond: (valor_faturado.id_operadora = operadora_2.id)
61. 6.137 6.137 ↑ 1.0 37,647 1

Seq Scan on fibovaloresfaturadoserp valor_faturado (cost=0.00..1,223.47 rows=37,647 width=103) (actual time=0.009..6.137 rows=37,647 loops=1)

  • Filter: (numero_remessa IS NOT NULL)
62. 0.009 0.016 ↑ 1.0 48 1

Hash (cost=1.48..1.48 rows=48 width=16) (actual time=0.016..0.016 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=0.004..0.007 rows=48 loops=1)

64. 0.032 0.130 ↑ 1.0 201 1

Hash (cost=16.01..16.01 rows=201 width=28) (actual time=0.130..0.130 rows=201 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 20kB
65. 0.098 0.098 ↑ 1.0 201 1

Seq Scan on fiboconvenio convenio_2 (cost=0.00..16.01 rows=201 width=28) (actual time=0.003..0.098 rows=201 loops=1)

66. 0.454 0.752 ↑ 1.0 2,441 1

Hash (cost=62.41..62.41 rows=2,441 width=27) (actual time=0.752..0.752 rows=2,441 loops=1)

  • Buckets: 4,096 Batches: 1 Memory Usage: 175kB
67. 0.298 0.298 ↑ 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..0.298 rows=2,441 loops=1)

68. 0.003 0.011 ↑ 1.0 1 1

Hash (cost=1.01..1.01 rows=1 width=136) (actual time=0.011..0.011 rows=1 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 9kB
69. 0.008 0.008 ↑ 1.0 1 1

Seq Scan on fibohospital hospital (cost=0.00..1.01 rows=1 width=136) (actual time=0.007..0.008 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 0.800 ↑ 1.0 1 100

Result (cost=8.46..8.46 rows=1 width=1) (actual time=0.008..0.008 rows=1 loops=100)

74.          

Initplan (for Result)

75. 0.700 0.700 ↑ 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=0.007..0.007 rows=1 loops=100)

  • Index Cond: (COALESCE($9, $10) = numero_remessa)
  • Filter: ((cnpj_hospital = $11) AND (lower(metadado_nome_convenio) = lower($12)))
Planning time : 8.255 ms
Execution time : 16,834.889 ms