explain.depesz.com

PostgreSQL's explain analyze made readable

Result: 1BwB : Optimization for: plan #EfpZ

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Optimization path:

Optimization(s) for this plan:

# exclusive inclusive rows x rows loops node
1. 0.040 20,116.185 ↑ 1.0 100 1

Limit (cost=3,139,682.95..3,169,961.03 rows=100 width=843) (actual time=20,066.380..20,116.185 rows=100 loops=1)

2. 0.128 20,116.145 ↑ 12,413.8 100 1

Subquery Scan on final (cost=3,139,682.95..379,006,990.14 rows=1,241,384 width=843) (actual time=20,066.379..20,116.145 rows=100 loops=1)

3. 2.155 20,116.017 ↑ 12,413.8 100 1

Nested Loop Left Join (cost=3,139,682.95..378,969,748.62 rows=1,241,384 width=891) (actual time=20,066.376..20,116.017 rows=100 loops=1)

4. 0.110 20,113.062 ↑ 12,413.8 100 1

Nested Loop Left Join (cost=3,139,674.49..368,120,052.46 rows=1,241,384 width=747) (actual time=20,066.321..20,113.062 rows=100 loops=1)

5. 0.163 20,112.852 ↑ 12,413.8 100 1

Nested Loop (cost=3,139,674.21..367,744,552.99 rows=1,241,384 width=747) (actual time=20,066.317..20,112.852 rows=100 loops=1)

6. 0.155 20,112.589 ↑ 12,413.8 100 1

Nested Loop (cost=3,139,674.07..367,540,834.53 rows=1,241,384 width=727) (actual time=20,066.311..20,112.589 rows=100 loops=1)

7. 0.102 20,112.334 ↑ 51,724.3 100 1

Hash Join (cost=3,139,673.93..366,723,865.05 rows=5,172,434 width=727) (actual time=20,066.305..20,112.334 rows=100 loops=1)

  • Hash Cond: (COALESCE(sistema_de_gestao.hospital_id, valor_esperado.hospital_id) = hospital.id)
8. 0.138 20,112.225 ↑ 10,344,868.5 100 1

Hash Full Join (cost=3,139,672.90..363,950,792.70 rows=1,034,486,854 width=607) (actual time=20,066.293..20,112.225 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. 45.503 19,924.154 ↑ 54,957.2 100 1

GroupAggregate (cost=3,115,900.19..327,649,222.70 rows=5,495,720 width=499) (actual time=19,878.339..19,924.154 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. 4,172.523 19,877.706 ↑ 1,096.7 5,011 1

Sort (cost=3,115,900.19..3,129,639.49 rows=5,495,720 width=455) (actual time=19,876.715..19,877.706 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: 576,288kB
11. 751.196 15,705.183 ↑ 1.8 2,987,733 1

Hash Left Join (cost=1,132,427.06..1,373,605.21 rows=5,495,720 width=455) (actual time=8,446.706..15,705.183 rows=2,987,733 loops=1)

  • Hash Cond: ((convenio_1.convnome = rpa.nome_convenio) AND (remessa.rem_numero = rpa.numero_remessa))
12. 549.695 14,953.986 ↑ 1.8 2,987,733 1

Nested Loop (cost=1,132,411.56..1,344,737.18 rows=5,495,720 width=259) (actual time=8,446.695..14,953.986 rows=2,987,733 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. 657.192 14,404.285 ↑ 1.8 2,987,733 1

Hash Left Join (cost=1,132,411.56..1,276,039.67 rows=5,495,720 width=251) (actual time=8,446.687..14,404.285 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. 1,163.447 13,747.082 ↑ 1.8 2,987,733 1

Hash Left Join (cost=1,132,410.24..1,247,185.73 rows=5,495,720 width=179) (actual time=8,446.666..13,747.082 rows=2,987,733 loops=1)

  • Hash Cond: (guia_convenio.guiprotocolo = protocolo_convenio.id)
16. 1,561.701 12,237.370 ↑ 1.8 2,987,733 1

Hash Join (cost=1,081,157.52..1,181,506.71 rows=5,495,720 width=179) (actual time=8,099.742..12,237.370 rows=2,987,733 loops=1)

  • Hash Cond: (guia_prestador.guiremessa = remessa.id)
17. 2,576.942 10,608.897 ↑ 1.0 5,491,696 1

Hash Right Join (cost=1,078,058.02..1,126,734.61 rows=5,495,720 width=42) (actual time=8,032.948..10,608.897 rows=5,491,696 loops=1)

  • Hash Cond: (recebimento.convenio_id = guia_convenio.id)
18. 0.711 0.711 ↑ 1.0 5,668 1

Seq Scan on recebimento (cost=0.00..213.68 rows=5,668 width=12) (actual time=0.010..0.711 rows=5,668 loops=1)

19. 945.921 8,031.244 ↑ 1.0 5,491,696 1

Hash (cost=961,058.52..961,058.52 rows=5,495,720 width=46) (actual time=8,031.244..8,031.244 rows=5,491,696 loops=1)

  • Buckets: 2,097,152 (originally 2097152) Batches: 8 (originally 4) Memory Usage: 114,689kB
20. 2,447.166 7,085.323 ↑ 1.0 5,491,696 1

Hash Left Join (cost=464,421.44..961,058.52 rows=5,495,720 width=46) (actual time=2,529.262..7,085.323 rows=5,491,696 loops=1)

  • Hash Cond: (guia_prestador.guiguiaassoc = guia_convenio.id)
21. 2,110.341 2,110.341 ↑ 1.0 5,491,696 1

Seq Scan on fiboguia guia_prestador (cost=0.00..379,069.80 rows=5,495,720 width=30) (actual time=0.035..2,110.341 rows=5,491,696 loops=1)

  • Filter: (discriminador <> 'RECURSO'::text)
  • Rows Removed by Filter: 243,168
22. 824.640 2,527.816 ↑ 1.0 5,734,864 1

Hash (cost=364,732.64..364,732.64 rows=5,734,864 width=16) (actual time=2,527.816..2,527.816 rows=5,734,864 loops=1)

  • Buckets: 4,194,304 Batches: 4 Memory Usage: 99,960kB
23. 1,703.176 1,703.176 ↑ 1.0 5,734,864 1

Seq Scan on fiboguia guia_convenio (cost=0.00..364,732.64 rows=5,734,864 width=16) (actual time=0.012..1,703.176 rows=5,734,864 loops=1)

24. 17.906 66.772 ↑ 1.0 58,270 1

Hash (cost=2,371.12..2,371.12 rows=58,271 width=145) (actual time=66.772..66.772 rows=58,270 loops=1)

  • Buckets: 65,536 Batches: 1 Memory Usage: 11,877kB
25. 11.288 48.866 ↑ 1.0 58,270 1

Hash Join (cost=113.53..2,371.12 rows=58,271 width=145) (actual time=0.699..48.866 rows=58,270 loops=1)

  • Hash Cond: (remessa.operadora_id = operadora_1.id)
26. 13.030 37.566 ↑ 1.0 58,270 1

Hash Join (cost=111.45..2,202.57 rows=58,271 width=145) (actual time=0.684..37.566 rows=58,270 loops=1)

  • Hash Cond: (competencia_1.comp_convenio = convenio_1.convnome)
27. 11.750 24.405 ↑ 1.0 58,270 1

Hash Join (cost=92.92..2,027.86 rows=58,271 width=128) (actual time=0.550..24.405 rows=58,270 loops=1)

  • Hash Cond: (remessa.remcompetencia = competencia_1.id)
28. 12.113 12.113 ↑ 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..12.113 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. 0.277 0.542 ↑ 1.0 2,441 1

Hash (cost=62.41..62.41 rows=2,441 width=19) (actual time=0.542..0.542 rows=2,441 loops=1)

  • Buckets: 4,096 Batches: 1 Memory Usage: 156kB
30. 0.265 0.265 ↑ 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..0.265 rows=2,441 loops=1)

31. 0.033 0.131 ↑ 1.0 201 1

Hash (cost=16.01..16.01 rows=201 width=28) (actual time=0.130..0.131 rows=201 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 20kB
32. 0.098 0.098 ↑ 1.0 201 1

Seq Scan on fiboconvenio convenio_1 (cost=0.00..16.01 rows=201 width=28) (actual time=0.005..0.098 rows=201 loops=1)

33. 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
34. 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)

35. 220.186 346.265 ↑ 1.0 1,276,343 1

Hash (cost=35,298.43..35,298.43 rows=1,276,343 width=16) (actual time=346.265..346.265 rows=1,276,343 loops=1)

  • Buckets: 2,097,152 Batches: 1 Memory Usage: 74,617kB
36. 126.079 126.079 ↑ 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=0.009..126.079 rows=1,276,343 loops=1)

37. 0.005 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. 0.006 0.006 ↑ 1.0 13 1

Seq Scan on fibojustifdifvaloresfaturados justificativa (cost=0.00..1.13 rows=13 width=112) (actual time=0.004..0.006 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. 0.359 0.359 ↑ 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..0.359 rows=3,982 loops=1)

56. 40.275 187.933 ↑ 1.0 37,647 1

Hash (cost=23,302.13..23,302.13 rows=37,647 width=132) (actual time=187.933..187.933 rows=37,647 loops=1)

  • Buckets: 65,536 Batches: 1 Memory Usage: 6,520kB
57. 6.107 147.658 ↑ 1.0 37,647 1

Subquery Scan on valor_esperado (cost=119.63..23,302.13 rows=37,647 width=132) (actual time=0.845..147.658 rows=37,647 loops=1)

58. 96.756 141.551 ↑ 1.0 37,647 1

Hash Left Join (cost=119.63..22,925.66 rows=37,647 width=140) (actual time=0.845..141.551 rows=37,647 loops=1)

  • Hash Cond: ((COALESCE(convenio_1_1.convnome, valor_faturado.convenio_integracao) = competencia_1_1.comp_convenio) AND (valor_faturado.competencia = competencia_1_1.comp_desc))
59. 8.525 44.123 ↑ 1.0 37,647 1

Hash Join (cost=20.60..1,452.52 rows=37,647 width=131) (actual time=0.147..44.123 rows=37,647 loops=1)

  • Hash Cond: (operadora_1_1.opconvenio = convenio_1_1.id)
60. 29.039 35.472 ↑ 1.0 37,647 1

Hash Join (cost=2.08..1,333.10 rows=37,647 width=111) (actual time=0.018..35.472 rows=37,647 loops=1)

  • Hash Cond: (valor_faturado.id_operadora = operadora_1_1.id)
61. 6.422 6.422 ↑ 1.0 37,647 1

Seq Scan on fibovaloresfaturadoserp valor_faturado (cost=0.00..1,223.47 rows=37,647 width=103) (actual time=0.005..6.422 rows=37,647 loops=1)

  • Filter: (numero_remessa IS NOT NULL)
62. 0.005 0.011 ↑ 1.0 48 1

Hash (cost=1.48..1.48 rows=48 width=16) (actual time=0.011..0.011 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_1_1 (cost=0.00..1.48 rows=48 width=16) (actual time=0.002..0.006 rows=48 loops=1)

64. 0.029 0.126 ↑ 1.0 201 1

Hash (cost=16.01..16.01 rows=201 width=28) (actual time=0.126..0.126 rows=201 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 20kB
65. 0.097 0.097 ↑ 1.0 201 1

Seq Scan on fiboconvenio convenio_1_1 (cost=0.00..16.01 rows=201 width=28) (actual time=0.003..0.097 rows=201 loops=1)

66. 0.407 0.672 ↑ 1.0 2,441 1

Hash (cost=62.41..62.41 rows=2,441 width=27) (actual time=0.672..0.672 rows=2,441 loops=1)

  • Buckets: 4,096 Batches: 1 Memory Usage: 175kB
67. 0.265 0.265 ↑ 1.0 2,441 1

Seq Scan on fibocompetencia competencia_1_1 (cost=0.00..62.41 rows=2,441 width=27) (actual time=0.003..0.265 rows=2,441 loops=1)

68. 0.002 0.007 ↑ 1.0 1 1

Hash (cost=1.01..1.01 rows=1 width=136) (actual time=0.006..0.007 rows=1 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 9kB
69. 0.005 0.005 ↑ 1.0 1 1

Seq Scan on fibohospital hospital (cost=0.00..1.01 rows=1 width=136) (actual time=0.004..0.005 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 0.800 ↑ 1.0 1 100

Result (cost=8.46..8.46 rows=1 width=1) (actual time=0.008..0.008 rows=1 loops=100)

74.          

Initplan (for Result)

75. 0.700 0.700 ↑ 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=0.007..0.007 rows=1 loops=100)

  • Index Cond: (COALESCE($9, $10) = numero_remessa)
  • Filter: ((cnpj_hospital = $11) AND (lower(metadado_nome_convenio) = lower($12)))
Planning time : 5.147 ms
Execution time : 20,198.219 ms