explain.depesz.com

PostgreSQL's explain analyze made readable

Result: oKUj : Optimization for: plan #Uty0

Settings

Optimization path:

Optimization(s) for this plan:

# exclusive inclusive rows x rows loops node
1. 0.035 23,300.792 ↑ 1.0 100 1

Limit (cost=3,415,993.06..3,446,271.14 rows=100 width=843) (actual time=23,228.932..23,300.792 rows=100 loops=1)

2. 0.133 23,300.757 ↑ 12,384.5 100 1

Subquery Scan on final (cost=3,415,993.06..378,394,265.40 rows=1,238,448 width=843) (actual time=23,228.932..23,300.757 rows=100 loops=1)

3. 2.437 23,300.624 ↑ 12,384.5 100 1

Nested Loop Left Join (cost=3,415,993.06..378,357,111.96 rows=1,238,448 width=891) (actual time=23,228.928..23,300.624 rows=100 loops=1)

4. 0.089 23,274.687 ↑ 12,384.5 100 1

Nested Loop Left Join (cost=3,415,984.61..367,533,076.44 rows=1,238,448 width=747) (actual time=23,227.834..23,274.687 rows=100 loops=1)

5. 0.136 23,274.498 ↑ 12,384.5 100 1

Nested Loop (cost=3,415,984.33..367,158,465.04 rows=1,238,448 width=747) (actual time=23,227.829..23,274.498 rows=100 loops=1)

6. 0.131 23,274.262 ↑ 12,384.5 100 1

Nested Loop (cost=3,415,984.18..366,955,228.39 rows=1,238,448 width=727) (actual time=23,227.823..23,274.262 rows=100 loops=1)

7. 0.090 23,274.031 ↑ 51,602.0 100 1

Hash Join (cost=3,415,984.04..366,140,191.23 rows=5,160,200 width=727) (actual time=23,227.816..23,274.031 rows=100 loops=1)

  • Hash Cond: (COALESCE(sistema_de_gestao.hospital_id, valor_esperado.hospital_id) = hospital.id)
8. 0.127 23,273.578 ↑ 10,320,399.9 100 1

Hash Full Join (cost=3,415,983.02..363,373,678.02 rows=1,032,039,987 width=607) (actual time=23,227.448..23,273.578 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. 46.097 23,139.456 ↑ 54,827.2 100 1

GroupAggregate (cost=3,392,210.31..327,157,915.72 rows=5,482,721 width=499) (actual time=23,093.429..23,139.456 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. 1,964.569 23,090.143 ↑ 1,094.1 5,011 1

Sort (cost=3,392,210.31..3,405,917.11 rows=5,482,721 width=455) (actual time=23,089.604..23,090.143 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: 576,296kB
11. 745.543 21,125.574 ↑ 1.8 2,987,733 1

Hash Left Join (cost=1,143,137.45..1,654,127.72 rows=5,482,721 width=455) (actual time=9,338.729..21,125.574 rows=2,987,733 loops=1)

  • Hash Cond: ((convenio_1.convnome = rpa.nome_convenio) AND (remessa.rem_numero = rpa.numero_remessa))
12. 552.093 20,380.026 ↑ 1.8 2,987,733 1

Nested Loop (cost=1,143,121.95..1,625,327.93 rows=5,482,721 width=259) (actual time=9,338.721..20,380.026 rows=2,987,733 loops=1)

  • Join Filter: (remessa.sistema_de_gestao_id = sistema_de_gestao.id)
13. 0.523 0.523 ↑ 1.0 1 1

Seq Scan on sistema_de_gestao (cost=0.00..1.01 rows=1 width=16) (actual time=0.522..0.523 rows=1 loops=1)

14. 643.191 19,827.410 ↑ 1.8 2,987,733 1

Hash Left Join (cost=1,143,121.95..1,556,792.91 rows=5,482,721 width=251) (actual time=9,338.192..19,827.410 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. 866.969 19,184.020 ↑ 1.8 2,987,733 1

Hash Left Join (cost=1,143,120.63..1,528,007.22 rows=5,482,721 width=179) (actual time=9,337.984..19,184.020 rows=2,987,733 loops=1)

  • Hash Cond: (guia_convenio.guiprotocolo = protocolo_convenio.id)
16. 1,144.437 17,717.974 ↑ 1.8 2,987,733 1

Hash Join (cost=1,091,867.91..1,462,362.31 rows=5,482,721 width=179) (actual time=8,738.262..17,717.974 rows=2,987,733 loops=1)

  • Hash Cond: (guia_prestador.guiremessa = remessa.id)
17. 7,836.459 16,501.176 ↓ 1.0 5,491,696 1

Hash Right Join (cost=1,088,768.41..1,407,637.50 rows=5,482,721 width=42) (actual time=8,665.803..16,501.176 rows=5,491,696 loops=1)

  • Hash Cond: (recebimento.convenio_id = guia_convenio.recebimento_id)
18. 13.144 13.144 ↑ 1.0 5,668 1

Seq Scan on recebimento (cost=0.00..213.68 rows=5,668 width=12) (actual time=0.514..13.144 rows=5,668 loops=1)

19. 938.715 8,651.573 ↓ 1.0 5,491,696 1

Hash (cost=972,046.39..972,046.39 rows=5,482,721 width=46) (actual time=8,651.573..8,651.573 rows=5,491,696 loops=1)

  • Buckets: 2,097,152 (originally 2097152) Batches: 2,048 (originally 4) Memory Usage: 215,469kB
20. 2,493.460 7,712.858 ↓ 1.0 5,491,696 1

Hash Left Join (cost=470,021.44..972,046.39 rows=5,482,721 width=46) (actual time=3,118.704..7,712.858 rows=5,491,696 loops=1)

  • Hash Cond: (guia_prestador.guiguiaassoc = guia_convenio.id)
21. 2,101.377 2,101.377 ↓ 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=0.020..2,101.377 rows=5,491,696 loops=1)

  • Filter: (discriminador <> 'RECURSO'::text)
  • Rows Removed by Filter: 243,168
22. 858.702 3,118.021 ↑ 1.0 5,734,864 1

Hash (cost=364,732.64..364,732.64 rows=5,734,864 width=24) (actual time=3,118.021..3,118.021 rows=5,734,864 loops=1)

  • Buckets: 2,097,152 Batches: 4 Memory Usage: 88,271kB
23. 2,259.319 2,259.319 ↑ 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=0.012..2,259.319 rows=5,734,864 loops=1)

24. 18.852 72.361 ↑ 1.0 58,270 1

Hash (cost=2,371.12..2,371.12 rows=58,271 width=145) (actual time=72.361..72.361 rows=58,270 loops=1)

  • Buckets: 65,536 Batches: 1 Memory Usage: 11,877kB
25. 11.124 53.509 ↑ 1.0 58,270 1

Hash Join (cost=113.53..2,371.12 rows=58,271 width=145) (actual time=0.688..53.509 rows=58,270 loops=1)

  • Hash Cond: (remessa.operadora_id = operadora_1.id)
26. 13.001 42.372 ↑ 1.0 58,270 1

Hash Join (cost=111.45..2,202.57 rows=58,271 width=145) (actual time=0.671..42.372 rows=58,270 loops=1)

  • Hash Cond: (competencia_1.comp_convenio = convenio_1.convnome)
27. 11.845 29.249 ↑ 1.0 58,270 1

Hash Join (cost=92.92..2,027.86 rows=58,271 width=128) (actual time=0.545..29.249 rows=58,270 loops=1)

  • Hash Cond: (remessa.remcompetencia = competencia_1.id)
28. 16.868 16.868 ↑ 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..16.868 rows=58,270 loops=1)

  • Filter: ((rem_numero IS NOT NULL) AND (sistema_de_gestao_id IS NOT NULL))
  • Rows Removed by Filter: 1
29. 0.274 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
30. 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)

31. 0.032 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
32. 0.090 0.090 ↑ 1.0 201 1

Seq Scan on fiboconvenio convenio_1 (cost=0.00..16.01 rows=201 width=28) (actual time=0.004..0.090 rows=201 loops=1)

33. 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
34. 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=0.004..0.008 rows=48 loops=1)

35. 249.616 599.077 ↑ 1.0 1,276,343 1

Hash (cost=35,298.43..35,298.43 rows=1,276,343 width=16) (actual time=599.077..599.077 rows=1,276,343 loops=1)

  • Buckets: 2,097,152 Batches: 1 Memory Usage: 74,617kB
36. 349.461 349.461 ↑ 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=0.670..349.461 rows=1,276,343 loops=1)

37. 0.005 0.199 ↑ 1.0 13 1

Hash (cost=1.13..1.13 rows=13 width=112) (actual time=0.199..0.199 rows=13 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 10kB
38. 0.194 0.194 ↑ 1.0 13 1

Seq Scan on fibojustifdifvaloresfaturados justificativa (cost=0.00..1.13 rows=13 width=112) (actual time=0.192..0.194 rows=13 loops=1)

39. 0.000 0.005 ↓ 0.0 0 1

Hash (cost=12.20..12.20 rows=220 width=272) (actual time=0.005..0.005 rows=0 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 8kB
40. 0.005 0.005 ↓ 0.0 0 1

Seq Scan on detalhes_quitacao_rpa rpa (cost=0.00..12.20 rows=220 width=272) (actual time=0.005..0.005 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. 0.695 0.695 ↑ 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=0.288..0.695 rows=873 loops=1)

46. 0.100 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. 0.006 0.300 ↓ 0.0 0 100

Nested Loop (cost=0.56..16.61 rows=1 width=7) (actual time=0.003..0.003 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. 0.194 0.194 ↑ 1.0 1 1

Index Scan using fato_contabil_pkey on fato_contabil (cost=0.28..8.30 rows=1 width=8) (actual time=0.194..0.194 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. 1.821 1.821 ↑ 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..1.821 rows=3,982 loops=1)

56. 13.489 133.995 ↑ 1.0 37,647 1

Hash (cost=23,302.13..23,302.13 rows=37,647 width=132) (actual time=133.995..133.995 rows=37,647 loops=1)

  • Buckets: 65,536 Batches: 1 Memory Usage: 6,520kB
57. 6.040 120.506 ↑ 1.0 37,647 1

Subquery Scan on valor_esperado (cost=119.63..23,302.13 rows=37,647 width=132) (actual time=1.316..120.506 rows=37,647 loops=1)

58. 82.724 114.466 ↑ 1.0 37,647 1

Hash Left Join (cost=119.63..22,925.66 rows=37,647 width=140) (actual time=1.314..114.466 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. 8.531 31.062 ↑ 1.0 37,647 1

Hash Join (cost=20.60..1,452.52 rows=37,647 width=131) (actual time=0.602..31.062 rows=37,647 loops=1)

  • Hash Cond: (operadora_2.opconvenio = convenio_2.id)
60. 12.507 22.399 ↑ 1.0 37,647 1

Hash Join (cost=2.08..1,333.10 rows=37,647 width=111) (actual time=0.468..22.399 rows=37,647 loops=1)

  • Hash Cond: (valor_faturado.id_operadora = operadora_2.id)
61. 9.877 9.877 ↑ 1.0 37,647 1

Seq Scan on fibovaloresfaturadoserp valor_faturado (cost=0.00..1,223.47 rows=37,647 width=103) (actual time=0.447..9.877 rows=37,647 loops=1)

  • Filter: (numero_remessa IS NOT NULL)
62. 0.006 0.015 ↑ 1.0 48 1

Hash (cost=1.48..1.48 rows=48 width=16) (actual time=0.015..0.015 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=0.005..0.009 rows=48 loops=1)

64. 0.030 0.132 ↑ 1.0 201 1

Hash (cost=16.01..16.01 rows=201 width=28) (actual time=0.132..0.132 rows=201 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 20kB
65. 0.102 0.102 ↑ 1.0 201 1

Seq Scan on fiboconvenio convenio_2 (cost=0.00..16.01 rows=201 width=28) (actual time=0.004..0.102 rows=201 loops=1)

66. 0.408 0.680 ↑ 1.0 2,441 1

Hash (cost=62.41..62.41 rows=2,441 width=27) (actual time=0.680..0.680 rows=2,441 loops=1)

  • Buckets: 4,096 Batches: 1 Memory Usage: 175kB
67. 0.272 0.272 ↑ 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..0.272 rows=2,441 loops=1)

68. 0.002 0.363 ↑ 1.0 1 1

Hash (cost=1.01..1.01 rows=1 width=136) (actual time=0.363..0.363 rows=1 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 9kB
69. 0.361 0.361 ↑ 1.0 1 1

Seq Scan on fibohospital hospital (cost=0.00..1.01 rows=1 width=136) (actual time=0.360..0.361 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 23.500 ↑ 1.0 1 100

Result (cost=8.46..8.46 rows=1 width=1) (actual time=0.235..0.235 rows=1 loops=100)

74.          

Initplan (for Result)

75. 23.500 23.500 ↑ 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=0.235..0.235 rows=1 loops=100)

  • Index Cond: (COALESCE($9, $10) = numero_remessa)
  • Filter: ((cnpj_hospital = $11) AND (lower(metadado_nome_convenio) = lower($12)))
Planning time : 10.660 ms
Execution time : 23,378.628 ms