explain.depesz.com

PostgreSQL's explain analyze made readable

Result: hu9E : 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

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Optimization path:

Optimization(s) for this plan:

# exclusive inclusive rows x rows loops node
1. 0.035 14,723.627 ↑ 1.0 100 1

Limit (cost=2,115,398.99..2,145,677.07 rows=100 width=843) (actual time=14,673.928..14,723.627 rows=100 loops=1)

2. 0.119 14,723.592 ↑ 7,018.5 100 1

Subquery Scan on final (cost=2,115,398.99..214,622,695.66 rows=701,852 width=843) (actual time=14,673.928..14,723.592 rows=100 loops=1)

3. 2.156 14,723.473 ↑ 7,018.5 100 1

Nested Loop Left Join (cost=2,115,398.99..214,601,640.10 rows=701,852 width=891) (actual time=14,673.925..14,723.473 rows=100 loops=1)

4. 0.093 14,720.117 ↑ 7,018.5 100 1

Nested Loop Left Join (cost=2,115,390.54..208,467,453.62 rows=701,852 width=747) (actual time=14,673.868..14,720.117 rows=100 loops=1)

5. 0.133 14,719.924 ↑ 7,018.5 100 1

Nested Loop (cost=2,115,390.26..208,255,154.24 rows=701,852 width=747) (actual time=14,673.864..14,719.924 rows=100 loops=1)

6. 0.121 14,719.691 ↑ 7,018.5 100 1

Nested Loop (cost=2,115,390.11..208,139,976.18 rows=701,852 width=727) (actual time=14,673.858..14,719.691 rows=100 loops=1)

7. 0.090 14,719.470 ↑ 29,243.8 100 1

Hash Join (cost=2,115,389.97..207,678,079.20 rows=2,924,383 width=727) (actual time=14,673.852..14,719.470 rows=100 loops=1)

  • Hash Cond: (COALESCE(sistema_de_gestao.hospital_id, valor_esperado.hospital_id) = hospital.id)
8. 0.130 14,719.371 ↑ 5,848,766.4 100 1

Hash Full Join (cost=2,115,388.95..206,110,243.24 rows=584,876,639 width=607) (actual time=14,673.837..14,719.371 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. 45.145 14,580.963 ↑ 31,071.6 100 1

GroupAggregate (cost=2,091,616.23..185,575,783.45 rows=3,107,162 width=499) (actual time=14,535.532..14,580.963 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. 2,030.251 14,534.730 ↑ 620.1 5,011 1

Sort (cost=2,091,616.23..2,099,384.14 rows=3,107,162 width=455) (actual time=14,533.733..14,534.730 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. 835.161 12,504.479 ↑ 1.0 2,987,733 1

Hash Left Join (cost=524,706.43..1,119,339.34 rows=3,107,162 width=455) (actual time=4,365.359..12,504.479 rows=2,987,733 loops=1)

  • Hash Cond: ((convenio_1.convnome = rpa.nome_convenio) AND (remessa.rem_numero = rpa.numero_remessa))
12. 585.604 11,669.317 ↑ 1.0 2,987,733 1

Nested Loop (cost=524,690.93..1,103,011.24 rows=3,107,162 width=259) (actual time=4,365.354..11,669.317 rows=2,987,733 loops=1)

  • Join Filter: (remessa.sistema_de_gestao_id = sistema_de_gestao.id)
13. 0.010 0.010 ↑ 1.0 1 1

Seq Scan on sistema_de_gestao (cost=0.00..1.01 rows=1 width=16) (actual time=0.008..0.010 rows=1 loops=1)

14. 708.145 11,083.703 ↑ 1.0 2,987,733 1

Hash Left Join (cost=524,690.93..1,064,170.71 rows=3,107,162 width=251) (actual time=4,365.342..11,083.703 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. 631.551 10,375.546 ↑ 1.0 2,987,733 1

Hash Left Join (cost=524,689.61..1,047,856.73 rows=3,107,162 width=179) (actual time=4,365.323..10,375.546 rows=2,987,733 loops=1)

  • Hash Cond: (guia_convenio.recebimento_id = recebimento.id)
16. 817.006 9,742.315 ↑ 1.0 2,987,733 1

Hash Left Join (cost=524,405.08..1,039,413.33 rows=3,107,162 width=183) (actual time=4,363.632..9,742.315 rows=2,987,733 loops=1)

  • Hash Cond: (guia_convenio.guiprotocolo = protocolo_convenio.id)
17. 1,080.178 8,472.525 ↑ 1.0 2,987,733 1

Hash Join (cost=473,152.36..980,004.29 rows=3,107,162 width=183) (actual time=3,908.210..8,472.525 rows=2,987,733 loops=1)

  • Hash Cond: (guia_prestador.guiremessa = remessa.id)
18. 1,677.420 7,323.039 ↑ 1.0 2,987,856 1

Hash Left Join (cost=470,052.85..947,724.39 rows=3,107,162 width=46) (actual time=3,838.873..7,323.039 rows=2,987,856 loops=1)

  • Hash Cond: (guia_prestador.guiguiaassoc = guia_convenio.id)
19. 1,807.423 1,807.423 ↑ 1.0 2,987,856 1

Seq Scan on fiboguia guia_prestador (cost=0.00..393,423.23 rows=3,107,162 width=30) (actual time=0.010..1,807.423 rows=2,987,856 loops=1)

  • Filter: ((discriminador <> 'RECURSO'::text) AND (discriminador <> 'CONVENIO'::text))
  • Rows Removed by Filter: 2,747,008
20. 839.591 3,838.196 ↑ 1.0 5,734,864 1

Hash (cost=364,743.49..364,743.49 rows=5,735,949 width=24) (actual time=3,838.196..3,838.196 rows=5,734,864 loops=1)

  • Buckets: 2,097,152 Batches: 4 Memory Usage: 88,271kB
21. 2,998.605 2,998.605 ↑ 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=0.014..2,998.605 rows=5,734,864 loops=1)

22. 17.773 69.308 ↑ 1.0 58,270 1

Hash (cost=2,371.12..2,371.12 rows=58,271 width=145) (actual time=69.308..69.308 rows=58,270 loops=1)

  • Buckets: 65,536 Batches: 1 Memory Usage: 11,877kB
23. 11.018 51.535 ↑ 1.0 58,270 1

Hash Join (cost=113.53..2,371.12 rows=58,271 width=145) (actual time=0.691..51.535 rows=58,270 loops=1)

  • Hash Cond: (remessa.operadora_id = operadora_1.id)
24. 12.540 40.505 ↑ 1.0 58,270 1

Hash Join (cost=111.45..2,202.57 rows=58,271 width=145) (actual time=0.674..40.505 rows=58,270 loops=1)

  • Hash Cond: (competencia_1.comp_convenio = convenio_1.convnome)
25. 11.720 27.841 ↑ 1.0 58,270 1

Hash Join (cost=92.92..2,027.86 rows=58,271 width=128) (actual time=0.546..27.841 rows=58,270 loops=1)

  • Hash Cond: (remessa.remcompetencia = competencia_1.id)
26. 15.584 15.584 ↑ 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..15.584 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 0.537 ↑ 1.0 2,441 1

Hash (cost=62.41..62.41 rows=2,441 width=19) (actual time=0.537..0.537 rows=2,441 loops=1)

  • Buckets: 4,096 Batches: 1 Memory Usage: 156kB
28. 0.262 0.262 ↑ 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..0.262 rows=2,441 loops=1)

29. 0.032 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. 0.092 0.092 ↑ 1.0 201 1

Seq Scan on fiboconvenio convenio_1 (cost=0.00..16.01 rows=201 width=28) (actual time=0.005..0.092 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. 239.229 452.784 ↑ 1.0 1,276,343 1

Hash (cost=35,298.43..35,298.43 rows=1,276,343 width=16) (actual time=452.784..452.784 rows=1,276,343 loops=1)

  • Buckets: 2,097,152 Batches: 1 Memory Usage: 74,617kB
34. 213.555 213.555 ↑ 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=0.039..213.555 rows=1,276,343 loops=1)

35. 0.560 1.680 ↑ 1.0 5,668 1

Hash (cost=213.68..213.68 rows=5,668 width=12) (actual time=1.680..1.680 rows=5,668 loops=1)

  • Buckets: 8,192 Batches: 1 Memory Usage: 330kB
36. 1.120 1.120 ↑ 1.0 5,668 1

Seq Scan on recebimento (cost=0.00..213.68 rows=5,668 width=12) (actual time=0.010..1.120 rows=5,668 loops=1)

37. 0.005 0.012 ↑ 1.0 13 1

Hash (cost=1.13..1.13 rows=13 width=112) (actual time=0.012..0.012 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. 0.130 0.130 ↑ 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=0.019..0.130 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. 0.007 0.007 ↑ 1.0 1 1

Index Scan using fato_contabil_pkey on fato_contabil (cost=0.28..8.30 rows=1 width=8) (actual time=0.007..0.007 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. 0.458 0.458 ↑ 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..0.458 rows=3,982 loops=1)

56. 13.286 138.278 ↑ 1.0 37,647 1

Hash (cost=23,302.13..23,302.13 rows=37,647 width=132) (actual time=138.278..138.278 rows=37,647 loops=1)

  • Buckets: 65,536 Batches: 1 Memory Usage: 6,520kB
57. 5.995 124.992 ↑ 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..124.992 rows=37,647 loops=1)

58. 85.602 118.997 ↑ 1.0 37,647 1

Hash Left Join (cost=119.63..22,925.66 rows=37,647 width=140) (actual time=3.701..118.997 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. 8.583 30.964 ↑ 1.0 37,647 1

Hash Join (cost=20.60..1,452.52 rows=37,647 width=131) (actual time=1.233..30.964 rows=37,647 loops=1)

  • Hash Cond: (operadora_2.opconvenio = convenio_2.id)
60. 12.574 21.332 ↑ 1.0 37,647 1

Hash Join (cost=2.08..1,333.10 rows=37,647 width=111) (actual time=0.181..21.332 rows=37,647 loops=1)

  • Hash Cond: (valor_faturado.id_operadora = operadora_2.id)
61. 8.586 8.586 ↑ 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..8.586 rows=37,647 loops=1)

  • Filter: (numero_remessa IS NOT NULL)
62. 0.006 0.172 ↑ 1.0 48 1

Hash (cost=1.48..1.48 rows=48 width=16) (actual time=0.172..0.172 rows=48 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 11kB
63. 0.166 0.166 ↑ 1.0 48 1

Seq Scan on fibooperadora operadora_2 (cost=0.00..1.48 rows=48 width=16) (actual time=0.162..0.166 rows=48 loops=1)

64. 0.031 1.049 ↑ 1.0 201 1

Hash (cost=16.01..16.01 rows=201 width=28) (actual time=1.049..1.049 rows=201 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 20kB
65. 1.018 1.018 ↑ 1.0 201 1

Seq Scan on fiboconvenio convenio_2 (cost=0.00..16.01 rows=201 width=28) (actual time=0.003..1.018 rows=201 loops=1)

66. 0.451 2.431 ↑ 1.0 2,441 1

Hash (cost=62.41..62.41 rows=2,441 width=27) (actual time=2.431..2.431 rows=2,441 loops=1)

  • Buckets: 4,096 Batches: 1 Memory Usage: 175kB
67. 1.980 1.980 ↑ 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..1.980 rows=2,441 loops=1)

68. 0.002 0.009 ↑ 1.0 1 1

Hash (cost=1.01..1.01 rows=1 width=136) (actual time=0.009..0.009 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 1.200 ↑ 1.0 1 100

Result (cost=8.46..8.46 rows=1 width=1) (actual time=0.012..0.012 rows=1 loops=100)

74.          

Initplan (for Result)

75. 1.200 1.200 ↑ 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=0.012..0.012 rows=1 loops=100)

  • Index Cond: (COALESCE($9, $10) = numero_remessa)
  • Filter: ((cnpj_hospital = $11) AND (lower(metadado_nome_convenio) = lower($12)))
Planning time : 1,670.423 ms
Execution time : 14,806.841 ms