explain.depesz.com

PostgreSQL's explain analyze made readable

Result: YSPg : Optimization for: Optimization for: Optimization for: 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; plan #AswY; plan #r1N8; plan #iWKt

Settings

Optimization path:

Optimization(s) for this plan:

# exclusive inclusive rows x rows loops node
1. 0.040 13,975.501 ↑ 1.0 100 1

Limit (cost=2,061,503.93..2,091,782.04 rows=100 width=843) (actual time=13,905.329..13,975.501 rows=100 loops=1)

2. 0.120 13,975.461 ↑ 6,779.7 100 1

Subquery Scan on final (cost=2,061,503.93..207,337,972.95 rows=677,970 width=843) (actual time=13,905.327..13,975.461 rows=100 loops=1)

3. 2.394 13,975.341 ↑ 6,779.7 100 1

Nested Loop Left Join (cost=2,061,503.93..207,317,633.85 rows=677,970 width=891) (actual time=13,905.323..13,975.341 rows=100 loops=1)

4. 0.083 13,951.447 ↑ 6,779.7 100 1

Nested Loop Left Join (cost=2,061,495.48..201,392,176.05 rows=677,970 width=747) (actual time=13,904.522..13,951.447 rows=100 loops=1)

5. 0.136 13,951.264 ↑ 6,779.7 100 1

Nested Loop (cost=2,061,495.20..201,187,100.61 rows=677,970 width=747) (actual time=13,904.517..13,951.264 rows=100 loops=1)

6. 0.129 13,951.028 ↑ 6,779.7 100 1

Nested Loop (cost=2,061,495.05..201,075,841.72 rows=677,970 width=727) (actual time=13,904.510..13,951.028 rows=100 loops=1)

7. 0.093 13,950.799 ↑ 28,248.8 100 1

Hash Join (cost=2,061,494.91..200,629,661.38 rows=2,824,877 width=727) (actual time=13,904.504..13,950.799 rows=100 loops=1)

  • Hash Cond: (COALESCE(sistema_de_gestao.hospital_id, valor_esperado.hospital_id) = hospital.id)
8. 0.190 13,950.326 ↑ 5,649,754.9 100 1

Hash Full Join (cost=2,061,493.89..199,115,172.93 rows=564,975,494 width=607) (actual time=13,904.113..13,950.326 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. 45.580 13,803.882 ↑ 30,014.4 100 1

GroupAggregate (cost=2,037,721.18..179,278,614.44 rows=3,001,437 width=499) (actual time=13,757.769..13,803.882 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. 2,107.778 13,754.867 ↑ 599.0 5,011 1

Sort (cost=2,037,721.18..2,045,224.77 rows=3,001,437 width=455) (actual time=13,753.865..13,754.867 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: 592,928kB
11. 824.798 11,647.089 ↑ 1.0 2,986,665 1

Hash Left Join (cost=524,675.02..1,099,277.25 rows=3,001,437 width=455) (actual time=3,593.447..11,647.089 rows=2,986,665 loops=1)

  • Hash Cond: ((convenio_1.convnome = rpa.nome_convenio) AND (remessa.rem_numero = rpa.numero_remessa))
12. 612.221 10,822.288 ↑ 1.0 2,986,665 1

Nested Loop (cost=524,659.52..1,083,504.20 rows=3,001,437 width=259) (actual time=3,593.440..10,822.288 rows=2,986,665 loops=1)

  • Join Filter: (remessa.sistema_de_gestao_id = sistema_de_gestao.id)
13. 0.268 0.268 ↑ 1.0 1 1

Seq Scan on sistema_de_gestao (cost=0.00..1.01 rows=1 width=16) (actual time=0.268..0.268 rows=1 loops=1)

14. 723.001 10,209.799 ↑ 1.0 2,986,665 1

Hash Left Join (cost=524,659.52..1,045,985.23 rows=3,001,437 width=251) (actual time=3,593.169..10,209.799 rows=2,986,665 loops=1)

  • Hash Cond: ((remessa.rem_numero = justificativa.numero_remessa) AND (remessa.sistema_de_gestao_id = justificativa.sistema_de_gestao_id))
15. 631.446 9,485.429 ↑ 1.0 2,986,665 1

Hash Left Join (cost=524,658.19..1,030,226.31 rows=3,001,437 width=179) (actual time=3,591.792..9,485.429 rows=2,986,665 loops=1)

  • Hash Cond: (guia_convenio.recebimento_id = recebimento.id)
16. 817.859 8,844.299 ↑ 1.0 2,986,665 1

Hash Left Join (cost=524,373.66..1,022,060.54 rows=3,001,437 width=183) (actual time=3,582.098..8,844.299 rows=2,986,665 loops=1)

  • Hash Cond: (guia_convenio.guiprotocolo = protocolo_convenio.id)
17. 1,071.599 7,538.510 ↑ 1.0 2,986,665 1

Hash Join (cost=473,120.95..962,929.03 rows=3,001,437 width=183) (actual time=3,093.501..7,538.510 rows=2,986,665 loops=1)

  • Hash Cond: (guia_prestador.guiremessa = remessa.id)
18. 1,619.033 6,397.161 ↑ 1.0 2,986,788 1

Hash Left Join (cost=470,021.44..931,609.01 rows=3,001,437 width=46) (actual time=3,023.724..6,397.161 rows=2,986,788 loops=1)

  • Hash Cond: (guia_prestador.guiguiaassoc = guia_convenio.id)
19. 1,755.121 1,755.121 ↑ 1.0 2,986,788 1

Seq Scan on fiboguia guia_prestador (cost=0.00..379,069.80 rows=3,001,437 width=30) (actual time=0.012..1,755.121 rows=2,986,788 loops=1)

  • Filter: (discriminador = 'PRESTADOR'::text)
  • Rows Removed by Filter: 2,748,076
20. 836.260 3,023.007 ↑ 1.0 5,734,864 1

Hash (cost=364,732.64..364,732.64 rows=5,734,864 width=24) (actual time=3,023.006..3,023.007 rows=5,734,864 loops=1)

  • Buckets: 2,097,152 Batches: 4 Memory Usage: 88,271kB
21. 2,186.747 2,186.747 ↑ 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=0.011..2,186.747 rows=5,734,864 loops=1)

22. 17.329 69.750 ↑ 1.0 58,270 1

Hash (cost=2,371.12..2,371.12 rows=58,271 width=145) (actual time=69.750..69.750 rows=58,270 loops=1)

  • Buckets: 65,536 Batches: 1 Memory Usage: 11,877kB
23. 10.999 52.421 ↑ 1.0 58,270 1

Hash Join (cost=113.53..2,371.12 rows=58,271 width=145) (actual time=0.686..52.421 rows=58,270 loops=1)

  • Hash Cond: (remessa.operadora_id = operadora_1.id)
24. 12.720 41.409 ↑ 1.0 58,270 1

Hash Join (cost=111.45..2,202.57 rows=58,271 width=145) (actual time=0.670..41.409 rows=58,270 loops=1)

  • Hash Cond: (competencia_1.comp_convenio = convenio_1.convnome)
25. 11.784 28.567 ↑ 1.0 58,270 1

Hash Join (cost=92.92..2,027.86 rows=58,271 width=128) (actual time=0.544..28.567 rows=58,270 loops=1)

  • Hash Cond: (remessa.remcompetencia = competencia_1.id)
26. 16.248 16.248 ↑ 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..16.248 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. 0.274 0.535 ↑ 1.0 2,441 1

Hash (cost=62.41..62.41 rows=2,441 width=19) (actual time=0.535..0.535 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. 0.033 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. 0.005 0.013 ↑ 1.0 48 1

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

  • Buckets: 1,024 Batches: 1 Memory Usage: 10kB
32. 0.008 0.008 ↑ 1.0 48 1

Seq Scan on fibooperadora operadora_1 (cost=0.00..1.48 rows=48 width=8) (actual time=0.005..0.008 rows=48 loops=1)

33. 237.538 487.930 ↑ 1.0 1,276,343 1

Hash (cost=35,298.43..35,298.43 rows=1,276,343 width=16) (actual time=487.930..487.930 rows=1,276,343 loops=1)

  • Buckets: 2,097,152 Batches: 1 Memory Usage: 74,617kB
34. 250.392 250.392 ↑ 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=0.445..250.392 rows=1,276,343 loops=1)

35. 0.579 9.684 ↑ 1.0 5,668 1

Hash (cost=213.68..213.68 rows=5,668 width=12) (actual time=9.684..9.684 rows=5,668 loops=1)

  • Buckets: 8,192 Batches: 1 Memory Usage: 330kB
36. 9.105 9.105 ↑ 1.0 5,668 1

Seq Scan on recebimento (cost=0.00..213.68 rows=5,668 width=12) (actual time=0.518..9.105 rows=5,668 loops=1)

37. 0.007 1.369 ↑ 1.0 13 1

Hash (cost=1.13..1.13 rows=13 width=112) (actual time=1.369..1.369 rows=13 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 10kB
38. 1.362 1.362 ↑ 1.0 13 1

Seq Scan on fibojustifdifvaloresfaturados justificativa (cost=0.00..1.13 rows=13 width=112) (actual time=1.360..1.362 rows=13 loops=1)

39. 0.001 0.003 ↓ 0.0 0 1

Hash (cost=12.20..12.20 rows=220 width=272) (actual time=0.003..0.003 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 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. 0.670 0.670 ↑ 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=0.274..0.670 rows=873 loops=1)

46. 0.000 0.500 ↑ 1.0 1 100

Aggregate (cost=16.62..16.63 rows=1 width=32) (actual time=0.005..0.005 rows=1 loops=100)

47. 0.037 0.500 ↓ 0.0 0 100

Nested Loop (cost=0.56..16.61 rows=1 width=7) (actual time=0.005..0.005 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. 0.363 0.363 ↑ 1.0 1 1

Index Scan using fato_contabil_pkey on fato_contabil (cost=0.28..8.30 rows=1 width=8) (actual time=0.363..0.363 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. 1.965 1.965 ↑ 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..1.965 rows=3,982 loops=1)

56. 13.619 146.254 ↑ 1.0 37,647 1

Hash (cost=23,302.13..23,302.13 rows=37,647 width=132) (actual time=146.254..146.254 rows=37,647 loops=1)

  • Buckets: 65,536 Batches: 1 Memory Usage: 6,520kB
57. 6.180 132.635 ↑ 1.0 37,647 1

Subquery Scan on valor_esperado (cost=119.63..23,302.13 rows=37,647 width=132) (actual time=3.749..132.635 rows=37,647 loops=1)

58. 90.471 126.455 ↑ 1.0 37,647 1

Hash Left Join (cost=119.63..22,925.66 rows=37,647 width=140) (actual time=3.746..126.455 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. 9.241 33.458 ↑ 1.0 37,647 1

Hash Join (cost=20.60..1,452.52 rows=37,647 width=131) (actual time=1.151..33.458 rows=37,647 loops=1)

  • Hash Cond: (operadora_2.opconvenio = convenio_2.id)
60. 13.459 23.732 ↑ 1.0 37,647 1

Hash Join (cost=2.08..1,333.10 rows=37,647 width=111) (actual time=0.657..23.732 rows=37,647 loops=1)

  • Hash Cond: (valor_faturado.id_operadora = operadora_2.id)
61. 10.222 10.222 ↑ 1.0 37,647 1

Seq Scan on fibovaloresfaturadoserp valor_faturado (cost=0.00..1,223.47 rows=37,647 width=103) (actual time=0.590..10.222 rows=37,647 loops=1)

  • Filter: (numero_remessa IS NOT NULL)
62. 0.024 0.051 ↑ 1.0 48 1

Hash (cost=1.48..1.48 rows=48 width=16) (actual time=0.051..0.051 rows=48 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 11kB
63. 0.027 0.027 ↑ 1.0 48 1

Seq Scan on fibooperadora operadora_2 (cost=0.00..1.48 rows=48 width=16) (actual time=0.011..0.027 rows=48 loops=1)

64. 0.124 0.485 ↑ 1.0 201 1

Hash (cost=16.01..16.01 rows=201 width=28) (actual time=0.485..0.485 rows=201 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 20kB
65. 0.361 0.361 ↑ 1.0 201 1

Seq Scan on fiboconvenio convenio_2 (cost=0.00..16.01 rows=201 width=28) (actual time=0.010..0.361 rows=201 loops=1)

66. 1.568 2.526 ↑ 1.0 2,441 1

Hash (cost=62.41..62.41 rows=2,441 width=27) (actual time=2.526..2.526 rows=2,441 loops=1)

  • Buckets: 4,096 Batches: 1 Memory Usage: 175kB
67. 0.958 0.958 ↑ 1.0 2,441 1

Seq Scan on fibocompetencia competencia_2 (cost=0.00..62.41 rows=2,441 width=27) (actual time=0.010..0.958 rows=2,441 loops=1)

68. 0.008 0.380 ↑ 1.0 1 1

Hash (cost=1.01..1.01 rows=1 width=136) (actual time=0.380..0.380 rows=1 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 9kB
69. 0.372 0.372 ↑ 1.0 1 1

Seq Scan on fibohospital hospital (cost=0.00..1.01 rows=1 width=136) (actual time=0.370..0.372 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 21.500 ↑ 1.0 1 100

Result (cost=8.46..8.46 rows=1 width=1) (actual time=0.215..0.215 rows=1 loops=100)

74.          

Initplan (for Result)

75. 21.500 21.500 ↑ 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=0.215..0.215 rows=1 loops=100)

  • Index Cond: (COALESCE($9, $10) = numero_remessa)
  • Filter: ((cnpj_hospital = $11) AND (lower(metadado_nome_convenio) = lower($12)))
Planning time : 27.200 ms
Execution time : 14,057.140 ms