explain.depesz.com

PostgreSQL's explain analyze made readable

Result: jHPe : 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

Settings

Optimization path:

Optimization(s) for this plan:

# exclusive inclusive rows x rows loops node
1. 0.034 21,427.395 ↑ 1.0 100 1

Limit (cost=3,076,460.90..3,106,738.97 rows=100 width=843) (actual time=21,376.821..21,427.395 rows=100 loops=1)

2. 0.119 21,427.361 ↑ 12,956.5 100 1

Subquery Scan on final (cost=3,076,460.90..395,373,691.85 rows=1,295,648 width=843) (actual time=21,376.820..21,427.361 rows=100 loops=1)

3. 2.207 21,427.242 ↑ 12,956.5 100 1

Nested Loop Left Join (cost=3,076,460.90..395,334,822.41 rows=1,295,648 width=891) (actual time=21,376.817..21,427.242 rows=100 loops=1)

4. 0.087 21,423.535 ↑ 12,956.5 100 1

Nested Loop Left Join (cost=3,076,452.44..384,010,858.89 rows=1,295,648 width=747) (actual time=21,376.749..21,423.535 rows=100 loops=1)

5. 0.134 21,423.348 ↑ 12,956.5 100 1

Nested Loop (cost=3,076,452.16..383,618,945.38 rows=1,295,648 width=747) (actual time=21,376.745..21,423.348 rows=100 loops=1)

6. 0.124 21,423.114 ↑ 12,956.5 100 1

Nested Loop (cost=3,076,452.02..383,406,321.88 rows=1,295,648 width=727) (actual time=21,376.739..21,423.114 rows=100 loops=1)

7. 0.089 21,422.890 ↑ 53,985.3 100 1

Hash Join (cost=3,076,451.88..382,553,640.95 rows=5,398,532 width=727) (actual time=21,376.733..21,422.890 rows=100 loops=1)

  • Hash Cond: (COALESCE(sistema_de_gestao.hospital_id, valor_esperado.hospital_id) = hospital.id)
8. 0.134 21,422.791 ↑ 10,797,063.6 100 1

Hash Full Join (cost=3,076,450.86..379,659,352.06 rows=1,079,706,360 width=607) (actual time=21,376.717..21,422.791 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. 45.533 21,287.543 ↑ 57,359.5 100 1

GroupAggregate (cost=3,052,678.14..341,772,006.41 rows=5,735,949 width=499) (actual time=21,241.569..21,287.543 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. 2,258.870 21,240.785 ↑ 1,144.7 5,011 1

Sort (cost=3,052,678.14..3,067,018.01 rows=5,735,949 width=455) (actual time=21,239.840..21,240.785 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: 639,632kB
11. 884.770 18,981.915 ↑ 1.8 3,230,901 1

Hash Left Join (cost=524,706.43..1,232,453.46 rows=5,735,949 width=455) (actual time=3,590.892..18,981.915 rows=3,230,901 loops=1)

  • Hash Cond: ((convenio_1.convnome = rpa.nome_convenio) AND (remessa.rem_numero = rpa.numero_remessa))
12. 643.273 18,097.144 ↑ 1.8 3,230,901 1

Nested Loop (cost=524,690.93..1,202,324.23 rows=5,735,949 width=259) (actual time=3,590.887..18,097.144 rows=3,230,901 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. 774.081 17,453.865 ↑ 1.8 3,230,901 1

Hash Left Join (cost=524,690.93..1,130,623.85 rows=5,735,949 width=251) (actual time=3,590.880..17,453.865 rows=3,230,901 loops=1)

  • Hash Cond: ((remessa.rem_numero = justificativa.numero_remessa) AND (remessa.sistema_de_gestao_id = justificativa.sistema_de_gestao_id))
15. 704.402 16,679.773 ↑ 1.8 3,230,901 1

Hash Left Join (cost=524,689.61..1,100,508.70 rows=5,735,949 width=179) (actual time=3,590.862..16,679.773 rows=3,230,901 loops=1)

  • Hash Cond: (guia_convenio.recebimento_id = recebimento.id)
16. 903.308 15,973.788 ↑ 1.8 3,230,901 1

Hash Left Join (cost=524,405.08..1,085,162.56 rows=5,735,949 width=183) (actual time=3,589.267..15,973.788 rows=3,230,901 loops=1)

  • Hash Cond: (guia_convenio.guiprotocolo = protocolo_convenio.id)
17. 1,325.916 14,640.293 ↑ 1.8 3,230,901 1

Hash Join (cost=473,152.36..1,018,852.93 rows=5,735,949 width=183) (actual time=3,158.165..14,640.293 rows=3,230,901 loops=1)

  • Hash Cond: (guia_prestador.guiremessa = remessa.id)
18. 7,973.794 13,249.147 ↑ 1.0 5,734,864 1

Hash Left Join (cost=470,052.85..961,885.22 rows=5,735,949 width=46) (actual time=3,092.911..13,249.147 rows=5,734,864 loops=1)

  • Hash Cond: (guia_prestador.guiguiaassoc = guia_convenio.id)
19. 2,183.132 2,183.132 ↑ 1.0 5,734,864 1

Seq Scan on fiboguia guia_prestador (cost=0.00..364,743.49 rows=5,735,949 width=30) (actual time=0.017..2,183.132 rows=5,734,864 loops=1)

20. 866.826 3,092.221 ↑ 1.0 5,734,864 1

Hash (cost=364,743.49..364,743.49 rows=5,735,949 width=24) (actual time=3,092.221..3,092.221 rows=5,734,864 loops=1)

  • Buckets: 2,097,152 Batches: 4 Memory Usage: 88,271kB
21. 2,225.395 2,225.395 ↑ 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=0.011..2,225.395 rows=5,734,864 loops=1)

22. 16.784 65.230 ↑ 1.0 58,270 1

Hash (cost=2,371.12..2,371.12 rows=58,271 width=145) (actual time=65.230..65.230 rows=58,270 loops=1)

  • Buckets: 65,536 Batches: 1 Memory Usage: 11,877kB
23. 11.582 48.446 ↑ 1.0 58,270 1

Hash Join (cost=113.53..2,371.12 rows=58,271 width=145) (actual time=0.686..48.446 rows=58,270 loops=1)

  • Hash Cond: (remessa.operadora_id = operadora_1.id)
24. 12.578 36.852 ↑ 1.0 58,270 1

Hash Join (cost=111.45..2,202.57 rows=58,271 width=145) (actual time=0.670..36.852 rows=58,270 loops=1)

  • Hash Cond: (competencia_1.comp_convenio = convenio_1.convnome)
25. 11.483 24.151 ↑ 1.0 58,270 1

Hash Join (cost=92.92..2,027.86 rows=58,271 width=128) (actual time=0.544..24.151 rows=58,270 loops=1)

  • Hash Cond: (remessa.remcompetencia = competencia_1.id)
26. 12.132 12.132 ↑ 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..12.132 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. 0.275 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. 0.261 0.261 ↑ 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..0.261 rows=2,441 loops=1)

29. 0.032 0.123 ↑ 1.0 201 1

Hash (cost=16.01..16.01 rows=201 width=28) (actual time=0.123..0.123 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=0.004..0.091 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=0.004..0.007 rows=48 loops=1)

33. 228.373 430.187 ↑ 1.0 1,276,343 1

Hash (cost=35,298.43..35,298.43 rows=1,276,343 width=16) (actual time=430.187..430.187 rows=1,276,343 loops=1)

  • Buckets: 2,097,152 Batches: 1 Memory Usage: 74,617kB
34. 201.814 201.814 ↑ 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..201.814 rows=1,276,343 loops=1)

35. 0.558 1.583 ↑ 1.0 5,668 1

Hash (cost=213.68..213.68 rows=5,668 width=12) (actual time=1.583..1.583 rows=5,668 loops=1)

  • Buckets: 8,192 Batches: 1 Memory Usage: 330kB
36. 1.025 1.025 ↑ 1.0 5,668 1

Seq Scan on recebimento (cost=0.00..213.68 rows=5,668 width=12) (actual time=0.008..1.025 rows=5,668 loops=1)

37. 0.004 0.011 ↑ 1.0 13 1

Hash (cost=1.13..1.13 rows=13 width=112) (actual time=0.011..0.011 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=0.006..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. 0.107 0.107 ↑ 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=0.010..0.107 rows=873 loops=1)

46. 0.000 0.400 ↑ 1.0 1 100

Aggregate (cost=16.62..16.63 rows=1 width=32) (actual time=0.004..0.004 rows=1 loops=100)

47. 0.031 0.400 ↓ 0.0 0 100

Nested Loop (cost=0.56..16.61 rows=1 width=7) (actual time=0.004..0.004 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. 0.269 0.269 ↑ 1.0 1 1

Index Scan using fato_contabil_pkey on fato_contabil (cost=0.28..8.30 rows=1 width=8) (actual time=0.269..0.269 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. 0.003 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. 0.418 0.418 ↑ 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..0.418 rows=3,982 loops=1)

56. 14.506 135.114 ↑ 1.0 37,647 1

Hash (cost=23,302.13..23,302.13 rows=37,647 width=132) (actual time=135.114..135.114 rows=37,647 loops=1)

  • Buckets: 65,536 Batches: 1 Memory Usage: 6,520kB
57. 6.069 120.608 ↑ 1.0 37,647 1

Subquery Scan on valor_esperado (cost=119.63..23,302.13 rows=37,647 width=132) (actual time=1.259..120.608 rows=37,647 loops=1)

58. 85.451 114.539 ↑ 1.0 37,647 1

Hash Left Join (cost=119.63..22,925.66 rows=37,647 width=140) (actual time=1.257..114.539 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. 8.837 28.073 ↑ 1.0 37,647 1

Hash Join (cost=20.60..1,452.52 rows=37,647 width=131) (actual time=0.204..28.073 rows=37,647 loops=1)

  • Hash Cond: (operadora_2.opconvenio = convenio_2.id)
60. 12.588 19.062 ↑ 1.0 37,647 1

Hash Join (cost=2.08..1,333.10 rows=37,647 width=111) (actual time=0.027..19.062 rows=37,647 loops=1)

  • Hash Cond: (valor_faturado.id_operadora = operadora_2.id)
61. 6.457 6.457 ↑ 1.0 37,647 1

Seq Scan on fibovaloresfaturadoserp valor_faturado (cost=0.00..1,223.47 rows=37,647 width=103) (actual time=0.006..6.457 rows=37,647 loops=1)

  • Filter: (numero_remessa IS NOT NULL)
62. 0.008 0.017 ↑ 1.0 48 1

Hash (cost=1.48..1.48 rows=48 width=16) (actual time=0.017..0.017 rows=48 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 11kB
63. 0.009 0.009 ↑ 1.0 48 1

Seq Scan on fibooperadora operadora_2 (cost=0.00..1.48 rows=48 width=16) (actual time=0.004..0.009 rows=48 loops=1)

64. 0.042 0.174 ↑ 1.0 201 1

Hash (cost=16.01..16.01 rows=201 width=28) (actual time=0.174..0.174 rows=201 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 20kB
65. 0.132 0.132 ↑ 1.0 201 1

Seq Scan on fiboconvenio convenio_2 (cost=0.00..16.01 rows=201 width=28) (actual time=0.004..0.132 rows=201 loops=1)

66. 0.624 1.015 ↑ 1.0 2,441 1

Hash (cost=62.41..62.41 rows=2,441 width=27) (actual time=1.015..1.015 rows=2,441 loops=1)

  • Buckets: 4,096 Batches: 1 Memory Usage: 175kB
67. 0.391 0.391 ↑ 1.0 2,441 1

Seq Scan on fibocompetencia competencia_2 (cost=0.00..62.41 rows=2,441 width=27) (actual time=0.004..0.391 rows=2,441 loops=1)

68. 0.003 0.010 ↑ 1.0 1 1

Hash (cost=1.01..1.01 rows=1 width=136) (actual time=0.010..0.010 rows=1 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 9kB
69. 0.007 0.007 ↑ 1.0 1 1

Seq Scan on fibohospital hospital (cost=0.00..1.01 rows=1 width=136) (actual time=0.007..0.007 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 1.500 ↑ 1.0 1 100

Result (cost=8.46..8.46 rows=1 width=1) (actual time=0.015..0.015 rows=1 loops=100)

74.          

Initplan (for Result)

75. 1.500 1.500 ↑ 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=0.015..0.015 rows=1 loops=100)

  • Index Cond: (COALESCE($9, $10) = numero_remessa)
  • Filter: ((cnpj_hospital = $11) AND (lower(metadado_nome_convenio) = lower($12)))
Planning time : 6.911 ms
Execution time : 23,710.819 ms