explain.depesz.com

PostgreSQL's explain analyze made readable

Result: EfpZ

Settings

Optimization(s) for this plan:

# exclusive inclusive rows x rows loops node
1. 0.034 27,327.901 ↑ 1.0 100 1

Limit (cost=3,087,266.88..3,117,544.95 rows=100 width=843) (actual time=27,278.978..27,327.901 rows=100 loops=1)

2. 0.118 27,327.867 ↑ 12,954.0 100 1

Subquery Scan on final (cost=3,087,266.88..395,310,292.49 rows=1,295,403 width=843) (actual time=27,278.978..27,327.867 rows=100 loops=1)

3. 2.086 27,327.749 ↑ 12,954.0 100 1

Nested Loop Left Join (cost=3,087,266.88..395,271,430.40 rows=1,295,403 width=891) (actual time=27,278.974..27,327.749 rows=100 loops=1)

4. 0.095 27,324.963 ↑ 12,954.0 100 1

Nested Loop Left Join (cost=3,087,258.43..383,949,608.18 rows=1,295,403 width=747) (actual time=27,278.919..27,324.963 rows=100 loops=1)

5. 0.130 27,324.768 ↑ 12,954.0 100 1

Nested Loop (cost=3,087,258.15..383,557,768.79 rows=1,295,403 width=747) (actual time=27,278.915..27,324.768 rows=100 loops=1)

6. 0.120 27,324.538 ↑ 12,954.0 100 1

Nested Loop (cost=3,087,258.00..383,345,185.49 rows=1,295,403 width=727) (actual time=27,278.910..27,324.538 rows=100 loops=1)

7. 0.085 27,324.318 ↑ 53,975.1 100 1

Hash Join (cost=3,087,257.86..382,492,665.83 rows=5,397,511 width=727) (actual time=27,278.904..27,324.318 rows=100 loops=1)

  • Hash Cond: (COALESCE(sistema_de_gestao.hospital_id, valor_esperado.hospital_id) = hospital.id)
8. 0.119 27,324.226 ↑ 10,795,021.2 100 1

Hash Full Join (cost=3,087,256.84..379,598,924.42 rows=1,079,502,125 width=607) (actual time=27,278.892..27,324.226 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. 44.987 27,064.828 ↑ 57,348.6 100 1

GroupAggregate (cost=3,063,484.13..341,718,740.96 rows=5,734,864 width=499) (actual time=27,019.591..27,064.828 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. 2,487.535 27,018.891 ↑ 1,144.5 5,011 1

Sort (cost=3,063,484.13..3,077,821.29 rows=5,734,864 width=455) (actual time=27,017.949..27,018.891 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: 638,200kB
11. 969.659 24,531.356 ↑ 1.8 3,230,901 1

Hash Left Join (cost=524,675.02..1,243,609.57 rows=5,734,864 width=455) (actual time=5,157.197..24,531.356 rows=3,230,901 loops=1)

  • Hash Cond: ((convenio_1.convnome = rpa.nome_convenio) AND (remessa.rem_numero = rpa.numero_remessa))
12. 709.360 23,561.696 ↑ 1.8 3,230,901 1

Nested Loop (cost=524,659.52..1,213,486.03 rows=5,734,864 width=259) (actual time=5,157.192..23,561.696 rows=3,230,901 loops=1)

  • Join Filter: (remessa.sistema_de_gestao_id = sistema_de_gestao.id)
13. 0.005 0.005 ↑ 1.0 1 1

Seq Scan on sistema_de_gestao (cost=0.00..1.01 rows=1 width=16) (actual time=0.004..0.005 rows=1 loops=1)

14. 886.895 22,852.331 ↑ 1.8 3,230,901 1

Hash Left Join (cost=524,659.52..1,141,799.22 rows=5,734,864 width=251) (actual time=5,157.185..22,852.331 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. 758.063 21,965.427 ↑ 1.8 3,230,901 1

Hash Left Join (cost=524,658.19..1,111,689.76 rows=5,734,864 width=179) (actual time=5,157.171..21,965.427 rows=3,230,901 loops=1)

  • Hash Cond: (guia_convenio.recebimento_id = recebimento.id)
16. 981.325 21,206.072 ↑ 1.8 3,230,901 1

Hash Left Join (cost=524,373.66..1,096,346.50 rows=5,734,864 width=183) (actual time=5,155.870..21,206.072 rows=3,230,901 loops=1)

  • Hash Cond: (guia_convenio.guiprotocolo = protocolo_convenio.id)
17. 1,469.611 19,872.948 ↑ 1.8 3,230,901 1

Hash Join (cost=473,120.95..1,030,039.72 rows=5,734,864 width=183) (actual time=4,803.189..19,872.948 rows=3,230,901 loops=1)

  • Hash Cond: (guia_prestador.guiremessa = remessa.id)
18. 11,376.174 18,256.856 ↑ 1.0 5,734,864 1

Hash Left Join (cost=470,021.44..973,019.11 rows=5,734,864 width=46) (actual time=4,656.685..18,256.856 rows=5,734,864 loops=1)

  • Hash Cond: (guia_prestador.guiguiaassoc = guia_convenio.id)
  • Join Filter: (guia_prestador.discriminador <> 'RECURSO'::text)
  • Rows Removed by Join Filter: 63,191
19. 2,224.974 2,224.974 ↑ 1.0 5,734,864 1

Seq Scan on fiboguia guia_prestador (cost=0.00..364,732.64 rows=5,734,864 width=39) (actual time=0.054..2,224.974 rows=5,734,864 loops=1)

20. 1,322.699 4,655.708 ↑ 1.0 5,734,864 1

Hash (cost=364,732.64..364,732.64 rows=5,734,864 width=24) (actual time=4,655.708..4,655.708 rows=5,734,864 loops=1)

  • Buckets: 2,097,152 Batches: 4 Memory Usage: 88,271kB
21. 3,333.009 3,333.009 ↑ 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=0.013..3,333.009 rows=5,734,864 loops=1)

22. 57.939 146.481 ↑ 1.0 58,270 1

Hash (cost=2,371.12..2,371.12 rows=58,271 width=145) (actual time=146.481..146.481 rows=58,270 loops=1)

  • Buckets: 65,536 Batches: 1 Memory Usage: 11,877kB
23. 23.218 88.542 ↑ 1.0 58,270 1

Hash Join (cost=113.53..2,371.12 rows=58,271 width=145) (actual time=0.688..88.542 rows=58,270 loops=1)

  • Hash Cond: (remessa.operadora_id = operadora_1.id)
24. 36.660 65.312 ↑ 1.0 58,270 1

Hash Join (cost=111.45..2,202.57 rows=58,271 width=145) (actual time=0.673..65.312 rows=58,270 loops=1)

  • Hash Cond: (competencia_1.comp_convenio = convenio_1.convnome)
25. 11.845 28.527 ↑ 1.0 58,270 1

Hash Join (cost=92.92..2,027.86 rows=58,271 width=128) (actual time=0.544..28.527 rows=58,270 loops=1)

  • Hash Cond: (remessa.remcompetencia = competencia_1.id)
26. 16.146 16.146 ↑ 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..16.146 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 0.125 ↑ 1.0 201 1

Hash (cost=16.01..16.01 rows=201 width=28) (actual time=0.125..0.125 rows=201 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 20kB
30. 0.093 0.093 ↑ 1.0 201 1

Seq Scan on fiboconvenio convenio_1 (cost=0.00..16.01 rows=201 width=28) (actual time=0.004..0.093 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. 221.937 351.799 ↑ 1.0 1,276,343 1

Hash (cost=35,298.43..35,298.43 rows=1,276,343 width=16) (actual time=351.799..351.799 rows=1,276,343 loops=1)

  • Buckets: 2,097,152 Batches: 1 Memory Usage: 74,617kB
34. 129.862 129.862 ↑ 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=0.012..129.862 rows=1,276,343 loops=1)

35. 0.554 1.292 ↑ 1.0 5,668 1

Hash (cost=213.68..213.68 rows=5,668 width=12) (actual time=1.292..1.292 rows=5,668 loops=1)

  • Buckets: 8,192 Batches: 1 Memory Usage: 330kB
36. 0.738 0.738 ↑ 1.0 5,668 1

Seq Scan on recebimento (cost=0.00..213.68 rows=5,668 width=12) (actual time=0.006..0.738 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. 0.086 0.086 ↑ 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..0.086 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. 0.003 0.003 ↑ 1.0 1 1

Index Scan using fato_contabil_pkey on fato_contabil (cost=0.28..8.30 rows=1 width=8) (actual time=0.003..0.003 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. 0.364 0.364 ↑ 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..0.364 rows=3,982 loops=1)

56. 26.078 259.279 ↑ 1.0 37,647 1

Hash (cost=23,302.13..23,302.13 rows=37,647 width=132) (actual time=259.279..259.279 rows=37,647 loops=1)

  • Buckets: 65,536 Batches: 1 Memory Usage: 6,520kB
57. 6.345 233.201 ↑ 1.0 37,647 1

Subquery Scan on valor_esperado (cost=119.63..23,302.13 rows=37,647 width=132) (actual time=0.852..233.201 rows=37,647 loops=1)

58. 163.259 226.856 ↑ 1.0 37,647 1

Hash Left Join (cost=119.63..22,925.66 rows=37,647 width=140) (actual time=0.852..226.856 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. 20.445 62.910 ↑ 1.0 37,647 1

Hash Join (cost=20.60..1,452.52 rows=37,647 width=131) (actual time=0.142..62.910 rows=37,647 loops=1)

  • Hash Cond: (operadora_2.opconvenio = convenio_2.id)
60. 36.367 42.345 ↑ 1.0 37,647 1

Hash Join (cost=2.08..1,333.10 rows=37,647 width=111) (actual time=0.019..42.345 rows=37,647 loops=1)

  • Hash Cond: (valor_faturado.id_operadora = operadora_2.id)
61. 5.966 5.966 ↑ 1.0 37,647 1

Seq Scan on fibovaloresfaturadoserp valor_faturado (cost=0.00..1,223.47 rows=37,647 width=103) (actual time=0.004..5.966 rows=37,647 loops=1)

  • Filter: (numero_remessa IS NOT NULL)
62. 0.006 0.012 ↑ 1.0 48 1

Hash (cost=1.48..1.48 rows=48 width=16) (actual time=0.011..0.012 rows=48 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 11kB
63. 0.006 0.006 ↑ 1.0 48 1

Seq Scan on fibooperadora operadora_2 (cost=0.00..1.48 rows=48 width=16) (actual time=0.003..0.006 rows=48 loops=1)

64. 0.029 0.120 ↑ 1.0 201 1

Hash (cost=16.01..16.01 rows=201 width=28) (actual time=0.120..0.120 rows=201 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 20kB
65. 0.091 0.091 ↑ 1.0 201 1

Seq Scan on fiboconvenio convenio_2 (cost=0.00..16.01 rows=201 width=28) (actual time=0.003..0.091 rows=201 loops=1)

66. 0.408 0.687 ↑ 1.0 2,441 1

Hash (cost=62.41..62.41 rows=2,441 width=27) (actual time=0.687..0.687 rows=2,441 loops=1)

  • Buckets: 4,096 Batches: 1 Memory Usage: 175kB
67. 0.279 0.279 ↑ 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..0.279 rows=2,441 loops=1)

68. 0.001 0.007 ↑ 1.0 1 1

Hash (cost=1.01..1.01 rows=1 width=136) (actual time=0.007..0.007 rows=1 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 9kB
69. 0.006 0.006 ↑ 1.0 1 1

Seq Scan on fibohospital hospital (cost=0.00..1.01 rows=1 width=136) (actual time=0.005..0.006 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 0.700 ↑ 1.0 1 100

Result (cost=8.46..8.46 rows=1 width=1) (actual time=0.007..0.007 rows=1 loops=100)

74.          

Initplan (for Result)

75. 0.600 0.600 ↑ 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=0.006..0.006 rows=1 loops=100)

  • Index Cond: (COALESCE($9, $10) = numero_remessa)
  • Filter: ((cnpj_hospital = $11) AND (lower(metadado_nome_convenio) = lower($12)))
Planning time : 4.344 ms
Execution time : 29,882.204 ms