explain.depesz.com

PostgreSQL's explain analyze made readable

Result: AswY : Optimization for: Optimization for: Optimization for: Optimization for: Optimization for: Optimization for: Optimization for: Optimization for: Optimization for: plan #Uty0; plan #oKUj; plan #1Rpu; plan #sxgX; plan #GP1; plan #8BPr; plan #w1WL; plan #hu9E; plan #jHPe

Settings

Optimization path:

Optimization(s) for this plan:

# exclusive inclusive rows x rows loops node
1. 0.055 72,833.306 ↑ 1.0 100 1

Limit (cost=3,004,502.03..3,034,780.11 rows=100 width=843) (actual time=72,670.919..72,833.306 rows=100 loops=1)

2. 0.219 72,833.251 ↑ 12,441.2 100 1

Subquery Scan on final (cost=3,004,502.03..379,701,347.35 rows=1,244,124 width=843) (actual time=72,670.918..72,833.251 rows=100 loops=1)

3. 55.880 72,833.032 ↑ 12,441.2 100 1

Nested Loop Left Join (cost=3,004,502.03..379,664,023.63 rows=1,244,124 width=891) (actual time=72,670.913..72,833.032 rows=100 loops=1)

4. 0.135 72,728.952 ↑ 12,441.2 100 1

Nested Loop Left Join (cost=3,004,493.58..368,790,379.87 rows=1,244,124 width=747) (actual time=72,618.199..72,728.952 rows=100 loops=1)

5. 0.217 72,728.617 ↑ 12,441.2 100 1

Nested Loop (cost=3,004,493.30..368,414,051.59 rows=1,244,124 width=747) (actual time=72,618.194..72,728.617 rows=100 loops=1)

6. 0.293 72,727.800 ↑ 12,441.2 100 1

Nested Loop (cost=3,004,493.15..368,209,883.48 rows=1,244,124 width=727) (actual time=72,617.793..72,727.800 rows=100 loops=1)

7. 0.158 72,725.807 ↑ 51,838.5 100 1

Hash Join (cost=3,004,493.01..367,391,110.88 rows=5,183,850 width=727) (actual time=72,616.834..72,725.807 rows=100 loops=1)

  • Hash Cond: (COALESCE(sistema_de_gestao.hospital_id, valor_esperado.hospital_id) = hospital.id)
8. 0.208 72,725.339 ↑ 10,367,699.6 100 1

Hash Full Join (cost=3,004,491.99..364,611,918.39 rows=1,036,769,957 width=607) (actual time=72,616.519..72,725.339 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. 107.748 72,586.931 ↑ 55,078.5 100 1

GroupAggregate (cost=2,980,719.28..328,230,283.64 rows=5,507,849 width=499) (actual time=72,478.294..72,586.931 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. 2,357.908 72,474.300 ↑ 1,099.2 5,011 1

Sort (cost=2,980,719.28..2,994,488.90 rows=5,507,849 width=455) (actual time=72,472.624..72,474.300 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: 593,136kB
11. 987.535 70,116.392 ↑ 1.8 2,987,733 1

Hash Left Join (cost=524,706.43..1,234,490.38 rows=5,507,849 width=455) (actual time=30,834.344..70,116.392 rows=2,987,733 loops=1)

  • Hash Cond: ((convenio_1.convnome = rpa.nome_convenio) AND (remessa.rem_numero = rpa.numero_remessa))
12. 728.316 69,128.855 ↑ 1.8 2,987,733 1

Nested Loop (cost=524,690.93..1,205,558.67 rows=5,507,849 width=259) (actual time=30,834.336..69,128.855 rows=2,987,733 loops=1)

  • Join Filter: (remessa.sistema_de_gestao_id = sistema_de_gestao.id)
13. 0.310 0.310 ↑ 1.0 1 1

Seq Scan on sistema_de_gestao (cost=0.00..1.01 rows=1 width=16) (actual time=0.309..0.310 rows=1 loops=1)

14. 875.977 68,400.229 ↑ 1.8 2,987,733 1

Hash Left Join (cost=524,690.93..1,136,709.55 rows=5,507,849 width=251) (actual time=30,834.021..68,400.229 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. 780.348 67,522.839 ↑ 1.8 2,987,733 1

Hash Left Join (cost=524,689.61..1,107,791.93 rows=5,507,849 width=179) (actual time=30,832.599..67,522.839 rows=2,987,733 loops=1)

  • Hash Cond: (guia_convenio.recebimento_id = recebimento.id)
16. 994.095 66,732.888 ↑ 1.8 2,987,733 1

Hash Left Join (cost=524,405.08..1,093,044.74 rows=5,507,849 width=183) (actual time=30,822.983..66,732.888 rows=2,987,733 loops=1)

  • Hash Cond: (guia_convenio.guiprotocolo = protocolo_convenio.id)
17. 1,423.271 65,012.030 ↑ 1.8 2,987,733 1

Hash Join (cost=473,152.36..1,027,333.88 rows=5,507,849 width=183) (actual time=30,095.188..65,012.030 rows=2,987,733 loops=1)

  • Hash Cond: (guia_prestador.guiremessa = remessa.id)
18. 4,129.819 63,505.131 ↑ 1.0 5,491,696 1

Hash Left Join (cost=470,052.85..972,508.33 rows=5,507,849 width=46) (actual time=30,011.533..63,505.131 rows=5,491,696 loops=1)

  • Hash Cond: (guia_prestador.guiguiaassoc = guia_convenio.id)
19. 29,365.145 29,365.145 ↑ 1.0 5,491,696 1

Seq Scan on fiboguia guia_prestador (cost=0.00..379,083.36 rows=5,507,849 width=30) (actual time=0.417..29,365.145 rows=5,491,696 loops=1)

  • Filter: (discriminador <> 'RECURSO'::text)
  • Rows Removed by Filter: 243,168
20. 1,389.220 30,010.167 ↑ 1.0 5,734,864 1

Hash (cost=364,743.49..364,743.49 rows=5,735,949 width=24) (actual time=30,010.166..30,010.167 rows=5,734,864 loops=1)

  • Buckets: 2,097,152 Batches: 4 Memory Usage: 88,271kB
21. 28,620.947 28,620.947 ↑ 1.0 5,734,864 1

Seq Scan on fiboguia guia_convenio (cost=0.00..364,743.49 rows=5,735,949 width=24) (actual time=0.015..28,620.947 rows=5,734,864 loops=1)

22. 21.206 83.628 ↑ 1.0 58,270 1

Hash (cost=2,371.12..2,371.12 rows=58,271 width=145) (actual time=83.628..83.628 rows=58,270 loops=1)

  • Buckets: 65,536 Batches: 1 Memory Usage: 11,877kB
23. 11.502 62.422 ↑ 1.0 58,270 1

Hash Join (cost=113.53..2,371.12 rows=58,271 width=145) (actual time=0.701..62.422 rows=58,270 loops=1)

  • Hash Cond: (remessa.operadora_id = operadora_1.id)
24. 12.929 50.905 ↑ 1.0 58,270 1

Hash Join (cost=111.45..2,202.57 rows=58,271 width=145) (actual time=0.682..50.905 rows=58,270 loops=1)

  • Hash Cond: (competencia_1.comp_convenio = convenio_1.convnome)
25. 13.209 37.852 ↑ 1.0 58,270 1

Hash Join (cost=92.92..2,027.86 rows=58,271 width=128) (actual time=0.554..37.852 rows=58,270 loops=1)

  • Hash Cond: (remessa.remcompetencia = competencia_1.id)
26. 24.099 24.099 ↑ 1.0 58,270 1

Seq Scan on fiboremessa remessa (cost=0.00..1,781.71 rows=58,271 width=117) (actual time=0.005..24.099 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. 0.278 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. 0.266 0.266 ↑ 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..0.266 rows=2,441 loops=1)

29. 0.033 0.124 ↑ 1.0 201 1

Hash (cost=16.01..16.01 rows=201 width=28) (actual time=0.124..0.124 rows=201 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 20kB
30. 0.091 0.091 ↑ 1.0 201 1

Seq Scan on fiboconvenio convenio_1 (cost=0.00..16.01 rows=201 width=28) (actual time=0.005..0.091 rows=201 loops=1)

31. 0.005 0.015 ↑ 1.0 48 1

Hash (cost=1.48..1.48 rows=48 width=8) (actual time=0.015..0.015 rows=48 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 10kB
32. 0.010 0.010 ↑ 1.0 48 1

Seq Scan on fibooperadora operadora_1 (cost=0.00..1.48 rows=48 width=8) (actual time=0.006..0.010 rows=48 loops=1)

33. 260.813 726.763 ↑ 1.0 1,276,343 1

Hash (cost=35,298.43..35,298.43 rows=1,276,343 width=16) (actual time=726.763..726.763 rows=1,276,343 loops=1)

  • Buckets: 2,097,152 Batches: 1 Memory Usage: 74,617kB
34. 465.950 465.950 ↑ 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=0.466..465.950 rows=1,276,343 loops=1)

35. 0.573 9.603 ↑ 1.0 5,668 1

Hash (cost=213.68..213.68 rows=5,668 width=12) (actual time=9.603..9.603 rows=5,668 loops=1)

  • Buckets: 8,192 Batches: 1 Memory Usage: 330kB
36. 9.030 9.030 ↑ 1.0 5,668 1

Seq Scan on recebimento (cost=0.00..213.68 rows=5,668 width=12) (actual time=0.519..9.030 rows=5,668 loops=1)

37. 0.005 1.413 ↑ 1.0 13 1

Hash (cost=1.13..1.13 rows=13 width=112) (actual time=1.413..1.413 rows=13 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 10kB
38. 1.408 1.408 ↑ 1.0 13 1

Seq Scan on fibojustifdifvaloresfaturados justificativa (cost=0.00..1.13 rows=13 width=112) (actual time=1.406..1.408 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 1.100 ↑ 1.0 1 100

Aggregate (cost=8.30..8.31 rows=1 width=32) (actual time=0.011..0.011 rows=1 loops=100)

43. 1.000 1.000 ↓ 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=0.010..0.010 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. 0.554 0.554 ↑ 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=0.157..0.554 rows=873 loops=1)

46. 0.100 1.400 ↑ 1.0 1 100

Aggregate (cost=16.62..16.63 rows=1 width=32) (actual time=0.014..0.014 rows=1 loops=100)

47. 0.045 1.300 ↓ 0.0 0 100

Nested Loop (cost=0.56..16.61 rows=1 width=7) (actual time=0.013..0.013 rows=0 loops=100)

48. 0.900 0.900 ↓ 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=0.009..0.009 rows=0 loops=100)

  • Index Cond: (remessa.id = remessa_id)
49. 0.355 0.355 ↑ 1.0 1 1

Index Scan using fato_contabil_pkey on fato_contabil (cost=0.28..8.30 rows=1 width=8) (actual time=0.355..0.355 rows=1 loops=1)

  • Index Cond: (id = lancamentos_acrescimos_na_remessa.fato_contabil_id)
  • Filter: (tipo = 'Acrescimo'::text)
50. 0.100 0.200 ↑ 1.0 1 100

Aggregate (cost=16.66..16.67 rows=1 width=32) (actual time=0.002..0.002 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. 0.003 0.003 ↓ 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=0.003..0.003 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. 1.629 1.629 ↑ 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=0.004..1.629 rows=3,982 loops=1)

56. 14.769 138.200 ↑ 1.0 37,647 1

Hash (cost=23,302.13..23,302.13 rows=37,647 width=132) (actual time=138.200..138.200 rows=37,647 loops=1)

  • Buckets: 65,536 Batches: 1 Memory Usage: 6,520kB
57. 5.925 123.431 ↑ 1.0 37,647 1

Subquery Scan on valor_esperado (cost=119.63..23,302.13 rows=37,647 width=132) (actual time=3.436..123.431 rows=37,647 loops=1)

58. 83.004 117.506 ↑ 1.0 37,647 1

Hash Left Join (cost=119.63..22,925.66 rows=37,647 width=140) (actual time=3.435..117.506 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. 8.338 32.683 ↑ 1.0 37,647 1

Hash Join (cost=20.60..1,452.52 rows=37,647 width=131) (actual time=1.574..32.683 rows=37,647 loops=1)

  • Hash Cond: (operadora_2.opconvenio = convenio_2.id)
60. 12.734 23.566 ↑ 1.0 37,647 1

Hash Join (cost=2.08..1,333.10 rows=37,647 width=111) (actual time=0.791..23.566 rows=37,647 loops=1)

  • Hash Cond: (valor_faturado.id_operadora = operadora_2.id)
61. 10.580 10.580 ↑ 1.0 37,647 1

Seq Scan on fibovaloresfaturadoserp valor_faturado (cost=0.00..1,223.47 rows=37,647 width=103) (actual time=0.532..10.580 rows=37,647 loops=1)

  • Filter: (numero_remessa IS NOT NULL)
62. 0.007 0.252 ↑ 1.0 48 1

Hash (cost=1.48..1.48 rows=48 width=16) (actual time=0.252..0.252 rows=48 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 11kB
63. 0.245 0.245 ↑ 1.0 48 1

Seq Scan on fibooperadora operadora_2 (cost=0.00..1.48 rows=48 width=16) (actual time=0.241..0.245 rows=48 loops=1)

64. 0.032 0.779 ↑ 1.0 201 1

Hash (cost=16.01..16.01 rows=201 width=28) (actual time=0.779..0.779 rows=201 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 20kB
65. 0.747 0.747 ↑ 1.0 201 1

Seq Scan on fiboconvenio convenio_2 (cost=0.00..16.01 rows=201 width=28) (actual time=0.005..0.747 rows=201 loops=1)

66. 0.415 1.819 ↑ 1.0 2,441 1

Hash (cost=62.41..62.41 rows=2,441 width=27) (actual time=1.818..1.819 rows=2,441 loops=1)

  • Buckets: 4,096 Batches: 1 Memory Usage: 175kB
67. 1.404 1.404 ↑ 1.0 2,441 1

Seq Scan on fibocompetencia competencia_2 (cost=0.00..62.41 rows=2,441 width=27) (actual time=0.005..1.404 rows=2,441 loops=1)

68. 0.002 0.310 ↑ 1.0 1 1

Hash (cost=1.01..1.01 rows=1 width=136) (actual time=0.310..0.310 rows=1 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 9kB
69. 0.308 0.308 ↑ 1.0 1 1

Seq Scan on fibohospital hospital (cost=0.00..1.01 rows=1 width=136) (actual time=0.307..0.308 rows=1 loops=1)

70. 1.700 1.700 ↑ 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=0.017..0.017 rows=1 loops=100)

  • Index Cond: (operadora_id = COALESCE(operadora_1.id, valor_esperado.operadora_id))
71. 0.600 0.600 ↑ 1.0 1 100

Index Scan using fiboconvenio_pkey on fiboconvenio convenio (cost=0.14..0.16 rows=1 width=36) (actual time=0.006..0.006 rows=1 loops=100)

  • Index Cond: (id = COALESCE(convenio_1.id, valor_esperado.convenio_id))
72. 0.200 0.200 ↑ 1.0 1 100

Index Scan using fibocompetencia_pkey on fibocompetencia competencia (cost=0.28..0.30 rows=1 width=16) (actual time=0.002..0.002 rows=1 loops=100)

  • Index Cond: (COALESCE(competencia_1.id, valor_esperado.competencia_id) = id)
73. 0.200 48.200 ↑ 1.0 1 100

Result (cost=8.46..8.46 rows=1 width=1) (actual time=0.481..0.482 rows=1 loops=100)

74.          

Initplan (for Result)

75. 48.000 48.000 ↑ 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=0.480..0.480 rows=1 loops=100)

  • Index Cond: (COALESCE($9, $10) = numero_remessa)
  • Filter: ((cnpj_hospital = $11) AND (lower(metadado_nome_convenio) = lower($12)))
Planning time : 27.594 ms
Execution time : 72,915.755 ms