explain.depesz.com

PostgreSQL's explain analyze made readable

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

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Optimization path:

Optimization(s) for this plan:

# exclusive inclusive rows x rows loops node
1. 0.042 68,142.510 ↑ 1.0 100 1

Limit (cost=2,995,083.15..3,025,361.23 rows=100 width=843) (actual time=68,091.043..68,142.510 rows=100 loops=1)

2. 0.138 68,142.468 ↑ 12,384.5 100 1

Subquery Scan on final (cost=2,995,083.15..377,973,355.48 rows=1,238,448 width=843) (actual time=68,091.041..68,142.468 rows=100 loops=1)

3. 2.318 68,142.330 ↑ 12,384.5 100 1

Nested Loop Left Join (cost=2,995,083.15..377,936,202.04 rows=1,238,448 width=891) (actual time=68,091.037..68,142.330 rows=100 loops=1)

4. 0.112 68,139.212 ↑ 12,384.5 100 1

Nested Loop Left Join (cost=2,995,074.69..367,112,166.52 rows=1,238,448 width=747) (actual time=68,090.976..68,139.212 rows=100 loops=1)

5. 0.176 68,139.000 ↑ 12,384.5 100 1

Nested Loop (cost=2,995,074.41..366,737,555.12 rows=1,238,448 width=747) (actual time=68,090.971..68,139.000 rows=100 loops=1)

6. 0.197 68,138.724 ↑ 12,384.5 100 1

Nested Loop (cost=2,995,074.27..366,534,318.47 rows=1,238,448 width=727) (actual time=68,090.965..68,138.724 rows=100 loops=1)

7. 0.108 68,138.427 ↑ 51,602.0 100 1

Hash Join (cost=2,995,074.13..365,719,281.31 rows=5,160,200 width=727) (actual time=68,090.958..68,138.427 rows=100 loops=1)

  • Hash Cond: (COALESCE(sistema_de_gestao.hospital_id, valor_esperado.hospital_id) = hospital.id)
8. 0.356 68,138.295 ↑ 10,320,399.9 100 1

Hash Full Join (cost=2,995,073.10..362,952,768.10 rows=1,032,039,987 width=607) (actual time=68,090.923..68,138.295 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. 46.914 68,002.177 ↑ 54,827.2 100 1

GroupAggregate (cost=2,971,300.39..326,737,005.80 rows=5,482,721 width=499) (actual time=67,954.939..68,002.177 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. 2,515.848 67,954.326 ↑ 1,094.1 5,011 1

Sort (cost=2,971,300.39..2,985,007.19 rows=5,482,721 width=455) (actual time=67,953.305..67,954.326 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. 934.431 65,438.478 ↑ 1.8 2,987,733 1

Hash Left Join (cost=524,675.02..1,233,217.80 rows=5,482,721 width=455) (actual time=15,928.747..65,438.478 rows=2,987,733 loops=1)

  • Hash Cond: ((convenio_1.convnome = rpa.nome_convenio) AND (remessa.rem_numero = rpa.numero_remessa))
12. 669.801 64,504.046 ↑ 1.8 2,987,733 1

Nested Loop (cost=524,659.52..1,204,418.02 rows=5,482,721 width=259) (actual time=15,928.742..64,504.046 rows=2,987,733 loops=1)

  • Join Filter: (remessa.sistema_de_gestao_id = sistema_de_gestao.id)
13. 0.004 0.004 ↑ 1.0 1 1

Seq Scan on sistema_de_gestao (cost=0.00..1.01 rows=1 width=16) (actual time=0.003..0.004 rows=1 loops=1)

14. 810.021 63,834.241 ↑ 1.8 2,987,733 1

Hash Left Join (cost=524,659.52..1,135,882.99 rows=5,482,721 width=251) (actual time=15,928.736..63,834.241 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. 734.450 63,024.211 ↑ 1.8 2,987,733 1

Hash Left Join (cost=524,658.19..1,107,097.30 rows=5,482,721 width=179) (actual time=15,928.721..63,024.211 rows=2,987,733 loops=1)

  • Hash Cond: (guia_convenio.recebimento_id = recebimento.id)
16. 937.510 62,288.472 ↑ 1.8 2,987,733 1

Hash Left Join (cost=524,373.66..1,092,416.11 rows=5,482,721 width=183) (actual time=15,927.423..62,288.472 rows=2,987,733 loops=1)

  • Hash Cond: (guia_convenio.guiprotocolo = protocolo_convenio.id)
17. 1,336.748 61,006.897 ↑ 1.8 2,987,733 1

Hash Join (cost=473,120.95..1,026,771.20 rows=5,482,721 width=183) (actual time=15,582.399..61,006.897 rows=2,987,733 loops=1)

  • Hash Cond: (guia_prestador.guiremessa = remessa.id)
18. 32,295.735 59,604.716 ↓ 1.0 5,491,696 1

Hash Left Join (cost=470,021.44..972,046.39 rows=5,482,721 width=46) (actual time=15,516.940..59,604.716 rows=5,491,696 loops=1)

  • Hash Cond: (guia_prestador.guiguiaassoc = guia_convenio.id)
19. 11,970.460 11,970.460 ↓ 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=175.709..11,970.460 rows=5,491,696 loops=1)

  • Filter: (discriminador <> 'RECURSO'::text)
  • Rows Removed by Filter: 243,168
20. 989.004 15,338.521 ↑ 1.0 5,734,864 1

Hash (cost=364,732.64..364,732.64 rows=5,734,864 width=24) (actual time=15,338.521..15,338.521 rows=5,734,864 loops=1)

  • Buckets: 2,097,152 Batches: 4 Memory Usage: 88,271kB
21. 14,349.517 14,349.517 ↑ 1.0 5,734,864 1

Seq Scan on fiboguia guia_convenio (cost=0.00..364,732.64 rows=5,734,864 width=24) (actual time=0.022..14,349.517 rows=5,734,864 loops=1)

22. 16.808 65.433 ↑ 1.0 58,270 1

Hash (cost=2,371.12..2,371.12 rows=58,271 width=145) (actual time=65.433..65.433 rows=58,270 loops=1)

  • Buckets: 65,536 Batches: 1 Memory Usage: 11,877kB
23. 11.165 48.625 ↑ 1.0 58,270 1

Hash Join (cost=113.53..2,371.12 rows=58,271 width=145) (actual time=0.687..48.625 rows=58,270 loops=1)

  • Hash Cond: (remessa.operadora_id = operadora_1.id)
24. 12.933 37.447 ↑ 1.0 58,270 1

Hash Join (cost=111.45..2,202.57 rows=58,271 width=145) (actual time=0.672..37.447 rows=58,270 loops=1)

  • Hash Cond: (competencia_1.comp_convenio = convenio_1.convnome)
25. 11.742 24.392 ↑ 1.0 58,270 1

Hash Join (cost=92.92..2,027.86 rows=58,271 width=128) (actual time=0.547..24.392 rows=58,270 loops=1)

  • Hash Cond: (remessa.remcompetencia = competencia_1.id)
26. 12.111 12.111 ↑ 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..12.111 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 0.539 ↑ 1.0 2,441 1

Hash (cost=62.41..62.41 rows=2,441 width=19) (actual time=0.539..0.539 rows=2,441 loops=1)

  • Buckets: 4,096 Batches: 1 Memory Usage: 156kB
28. 0.263 0.263 ↑ 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..0.263 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. 0.006 0.013 ↑ 1.0 48 1

Hash (cost=1.48..1.48 rows=48 width=8) (actual time=0.012..0.013 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=0.004..0.007 rows=48 loops=1)

33. 215.539 344.065 ↑ 1.0 1,276,343 1

Hash (cost=35,298.43..35,298.43 rows=1,276,343 width=16) (actual time=344.065..344.065 rows=1,276,343 loops=1)

  • Buckets: 2,097,152 Batches: 1 Memory Usage: 74,617kB
34. 128.526 128.526 ↑ 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=0.015..128.526 rows=1,276,343 loops=1)

35. 0.558 1.289 ↑ 1.0 5,668 1

Hash (cost=213.68..213.68 rows=5,668 width=12) (actual time=1.289..1.289 rows=5,668 loops=1)

  • Buckets: 8,192 Batches: 1 Memory Usage: 330kB
36. 0.731 0.731 ↑ 1.0 5,668 1

Seq Scan on recebimento (cost=0.00..213.68 rows=5,668 width=12) (actual time=0.006..0.731 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=0.004..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. 0.082 0.082 ↑ 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..0.082 rows=873 loops=1)

46. 0.000 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. 0.096 0.200 ↓ 0.0 0 100

Nested Loop (cost=0.56..16.61 rows=1 width=7) (actual time=0.002..0.002 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. 0.355 0.355 ↑ 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..0.355 rows=3,982 loops=1)

56. 13.225 135.762 ↑ 1.0 37,647 1

Hash (cost=23,302.13..23,302.13 rows=37,647 width=132) (actual time=135.762..135.762 rows=37,647 loops=1)

  • Buckets: 65,536 Batches: 1 Memory Usage: 6,520kB
57. 5.820 122.537 ↑ 1.0 37,647 1

Subquery Scan on valor_esperado (cost=119.63..23,302.13 rows=37,647 width=132) (actual time=3.701..122.537 rows=37,647 loops=1)

58. 85.956 116.717 ↑ 1.0 37,647 1

Hash Left Join (cost=119.63..22,925.66 rows=37,647 width=140) (actual time=3.699..116.717 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. 8.535 27.733 ↑ 1.0 37,647 1

Hash Join (cost=20.60..1,452.52 rows=37,647 width=131) (actual time=0.567..27.733 rows=37,647 loops=1)

  • Hash Cond: (operadora_2.opconvenio = convenio_2.id)
60. 12.231 18.711 ↑ 1.0 37,647 1

Hash Join (cost=2.08..1,333.10 rows=37,647 width=111) (actual time=0.071..18.711 rows=37,647 loops=1)

  • Hash Cond: (valor_faturado.id_operadora = operadora_2.id)
61. 6.433 6.433 ↑ 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..6.433 rows=37,647 loops=1)

  • Filter: (numero_remessa IS NOT NULL)
62. 0.023 0.047 ↑ 1.0 48 1

Hash (cost=1.48..1.48 rows=48 width=16) (actual time=0.047..0.047 rows=48 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 11kB
63. 0.024 0.024 ↑ 1.0 48 1

Seq Scan on fibooperadora operadora_2 (cost=0.00..1.48 rows=48 width=16) (actual time=0.009..0.024 rows=48 loops=1)

64. 0.125 0.487 ↑ 1.0 201 1

Hash (cost=16.01..16.01 rows=201 width=28) (actual time=0.487..0.487 rows=201 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 20kB
65. 0.362 0.362 ↑ 1.0 201 1

Seq Scan on fiboconvenio convenio_2 (cost=0.00..16.01 rows=201 width=28) (actual time=0.010..0.362 rows=201 loops=1)

66. 1.921 3.028 ↑ 1.0 2,441 1

Hash (cost=62.41..62.41 rows=2,441 width=27) (actual time=3.028..3.028 rows=2,441 loops=1)

  • Buckets: 4,096 Batches: 1 Memory Usage: 175kB
67. 1.107 1.107 ↑ 1.0 2,441 1

Seq Scan on fibocompetencia competencia_2 (cost=0.00..62.41 rows=2,441 width=27) (actual time=0.011..1.107 rows=2,441 loops=1)

68. 0.006 0.024 ↑ 1.0 1 1

Hash (cost=1.01..1.01 rows=1 width=136) (actual time=0.023..0.024 rows=1 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 9kB
69. 0.018 0.018 ↑ 1.0 1 1

Seq Scan on fibohospital hospital (cost=0.00..1.01 rows=1 width=136) (actual time=0.016..0.018 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 : 392.904 ms
Execution time : 68,199.082 ms