explain.depesz.com

PostgreSQL's explain analyze made readable

Result: NlWC

Settings
# exclusive inclusive rows x rows loops node
1. 1.205 158.835 ↑ 2.3 110 1

Nested Loop Left Join (cost=3,929.97..137,113.84 rows=256 width=694) (actual time=41.887..158.835 rows=110 loops=1)

  • Join Filter: ((ec_1.id_prod_com = ec.id_prod_com) AND (fo.id_uf = tm.id_uf))
2. 0.167 48.603 ↑ 2.3 110 1

Hash Left Join (cost=3,567.00..4,254.02 rows=256 width=407) (actual time=41.611..48.603 rows=110 loops=1)

  • Hash Cond: (eq.id_tipo_estoque = tt.id_tipo_estoque)
  • Join Filter: (eq.id_tipo_estoque = 1)
3. 0.202 48.413 ↑ 2.3 110 1

Hash Left Join (cost=3,565.94..4,251.12 rows=256 width=389) (actual time=41.575..48.413 rows=110 loops=1)

  • Hash Cond: (ep.id_pes_for = fr.id_pes)
4. 0.077 47.832 ↑ 2.3 110 1

Hash Left Join (cost=3,528.39..4,212.90 rows=256 width=366) (actual time=41.078..47.832 rows=110 loops=1)

  • Hash Cond: (ep.id_pes_fab = ff.id_pes)
5. 0.075 46.885 ↑ 2.3 110 1

Hash Left Join (cost=3,490.84..4,174.68 rows=256 width=343) (actual time=40.191..46.885 rows=110 loops=1)

  • Hash Cond: (ep.id_pes_lab = fl.id_pes)
6. 0.087 46.263 ↑ 2.3 110 1

Hash Left Join (cost=3,453.29..4,136.46 rows=256 width=320) (actual time=39.634..46.263 rows=110 loops=1)

  • Hash Cond: (ep.id_tipo_prod = tp.id_tipo_prod)
7. 0.084 46.143 ↑ 2.3 110 1

Hash Join (cost=3,451.96..4,134.26 rows=256 width=320) (actual time=39.582..46.143 rows=110 loops=1)

  • Hash Cond: (ep.id_marca = em.id_marca)
8. 0.103 46.016 ↑ 2.3 110 1

Hash Join (cost=3,450.91..4,131.12 rows=256 width=320) (actual time=39.524..46.016 rows=110 loops=1)

  • Hash Cond: (ep.id_dpto_d = ed.id_dpto)
9. 0.195 45.830 ↑ 2.3 110 1

Hash Left Join (cost=3,449.51..4,128.89 rows=256 width=315) (actual time=39.428..45.830 rows=110 loops=1)

  • Hash Cond: (ep.id_ncm = tn.id_ncm)
10. 0.116 39.148 ↑ 2.3 110 1

Hash Join (cost=3,015.49..3,694.20 rows=256 width=311) (actual time=32.840..39.148 rows=110 loops=1)

  • Hash Cond: (ep.id_unid_v = un.id_unid)
11. 0.059 39.000 ↑ 2.3 110 1

Nested Loop (cost=3,014.00..3,691.90 rows=256 width=308) (actual time=32.783..39.000 rows=110 loops=1)

12. 0.008 0.037 ↑ 1.0 1 1

Nested Loop (cost=0.28..9.33 rows=1 width=8) (actual time=0.036..0.037 rows=1 loops=1)

13. 0.015 0.015 ↑ 1.0 1 1

Seq Scan on cg_emp cg (cost=0.00..1.02 rows=1 width=8) (actual time=0.014..0.015 rows=1 loops=1)

  • Filter: (id_emp = 1)
  • Rows Removed by Filter: 1
14. 0.014 0.014 ↑ 1.0 1 1

Index Scan using pk_tb_municipio on tb_municipio tm (cost=0.28..8.30 rows=1 width=8) (actual time=0.014..0.014 rows=1 loops=1)

  • Index Cond: (id_municipio = cg.id_municipio)
15. 2.420 38.904 ↑ 2.3 110 1

Hash Right Join (cost=3,013.71..3,680.01 rows=256 width=308) (actual time=32.745..38.904 rows=110 loops=1)

  • Hash Cond: (eq.id_prod = ec.id_prod)
16. 3.837 3.837 ↑ 1.0 26,340 1

Seq Scan on eq_prod_qtde eq (cost=0.00..565.01 rows=26,340 width=55) (actual time=0.030..3.837 rows=26,340 loops=1)

  • Filter: (id_emp = 1)
  • Rows Removed by Filter: 61
17. 0.181 32.647 ↑ 2.3 110 1

Hash (cost=3,010.51..3,010.51 rows=256 width=261) (actual time=32.647..32.647 rows=110 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 29kB
18. 3.273 32.466 ↑ 2.3 110 1

Hash Join (cost=1,128.37..3,010.51 rows=256 width=261) (actual time=13.355..32.466 rows=110 loops=1)

  • Hash Cond: (ec.id_prod = ep.id_prod)
19. 16.021 16.021 ↑ 1.0 26,811 1

Seq Scan on eq_prod_com ec (cost=0.00..1,811.36 rows=26,962 width=41) (actual time=0.016..16.021 rows=26,811 loops=1)

  • Filter: ((id_emp = 1) AND (id_tipo_situacao = 4))
  • Rows Removed by Filter: 26813
20. 0.120 13.172 ↑ 2.3 110 1

Hash (cost=1,125.18..1,125.18 rows=255 width=220) (actual time=13.172..13.172 rows=110 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 24kB
21. 13.052 13.052 ↑ 2.3 110 1

Seq Scan on eq_prod ep (cost=0.00..1,125.18 rows=255 width=220) (actual time=0.195..13.052 rows=110 loops=1)

  • Filter: (((descricaor)::text ~~ '%ARROZ%'::text) AND ((especial)::text = 'NAO'::text))
  • Rows Removed by Filter: 26702
22. 0.011 0.032 ↑ 1.0 22 1

Hash (cost=1.22..1.22 rows=22 width=7) (actual time=0.032..0.032 rows=22 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 9kB
23. 0.021 0.021 ↑ 1.0 22 1

Seq Scan on tb_unid un (cost=0.00..1.22 rows=22 width=7) (actual time=0.018..0.021 rows=22 loops=1)

24. 3.653 6.487 ↑ 1.0 12,534 1

Hash (cost=277.34..277.34 rows=12,534 width=12) (actual time=6.487..6.487 rows=12,534 loops=1)

  • Buckets: 16384 Batches: 1 Memory Usage: 716kB
25. 2.834 2.834 ↑ 1.0 12,534 1

Seq Scan on tb_ncm tn (cost=0.00..277.34 rows=12,534 width=12) (actual time=0.015..2.834 rows=12,534 loops=1)

26. 0.013 0.083 ↑ 1.0 18 1

Hash (cost=1.18..1.18 rows=18 width=13) (actual time=0.083..0.083 rows=18 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 9kB
27. 0.070 0.070 ↑ 1.0 18 1

Seq Scan on eq_dpto ed (cost=0.00..1.18 rows=18 width=13) (actual time=0.065..0.070 rows=18 loops=1)

28. 0.012 0.043 ↑ 1.0 2 1

Hash (cost=1.02..1.02 rows=2 width=8) (actual time=0.043..0.043 rows=2 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 9kB
29. 0.031 0.031 ↑ 1.0 2 1

Seq Scan on eq_marca em (cost=0.00..1.02 rows=2 width=8) (actual time=0.030..0.031 rows=2 loops=1)

30. 0.013 0.033 ↑ 1.0 15 1

Hash (cost=1.15..1.15 rows=15 width=4) (actual time=0.033..0.033 rows=15 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 9kB
31. 0.020 0.020 ↑ 1.0 15 1

Seq Scan on tb_tipo_prod tp (cost=0.00..1.15 rows=15 width=4) (actual time=0.018..0.020 rows=15 loops=1)

32. 0.228 0.547 ↑ 1.0 691 1

Hash (cost=28.91..28.91 rows=691 width=31) (actual time=0.547..0.547 rows=691 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 52kB
33. 0.319 0.319 ↑ 1.0 691 1

Seq Scan on fn_pes fl (cost=0.00..28.91 rows=691 width=31) (actual time=0.015..0.319 rows=691 loops=1)

34. 0.229 0.870 ↑ 1.0 691 1

Hash (cost=28.91..28.91 rows=691 width=31) (actual time=0.870..0.870 rows=691 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 52kB
35. 0.641 0.641 ↑ 1.0 691 1

Seq Scan on fn_pes ff (cost=0.00..28.91 rows=691 width=31) (actual time=0.015..0.641 rows=691 loops=1)

36. 0.195 0.379 ↑ 1.0 691 1

Hash (cost=28.91..28.91 rows=691 width=31) (actual time=0.379..0.379 rows=691 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 52kB
37. 0.184 0.184 ↑ 1.0 691 1

Seq Scan on fn_pes fr (cost=0.00..28.91 rows=691 width=31) (actual time=0.016..0.184 rows=691 loops=1)

38. 0.011 0.023 ↑ 1.0 3 1

Hash (cost=1.03..1.03 rows=3 width=22) (actual time=0.023..0.023 rows=3 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 9kB
39. 0.012 0.012 ↑ 1.0 3 1

Seq Scan on tb_tipo_estoque tt (cost=0.00..1.03 rows=3 width=22) (actual time=0.012..0.012 rows=3 loops=1)

40. 0.034 0.110 ↓ 0.0 0 110

Materialize (cost=362.97..691.30 rows=1 width=72) (actual time=0.001..0.001 rows=0 loops=110)

41. 0.000 0.076 ↓ 0.0 0 1

Nested Loop (cost=362.97..691.29 rows=1 width=72) (actual time=0.076..0.076 rows=0 loops=1)

42. 0.011 0.076 ↓ 0.0 0 1

Hash Join (cost=362.83..691.13 rows=1 width=80) (actual time=0.076..0.076 rows=0 loops=1)

  • Hash Cond: (fd.id_grade_trib_aliq = gd.id_grade_trib_aliq)
43. 0.012 0.012 ↑ 1,286.0 1 1

Seq Scan on fs_grade_trib_ufd fd (cost=0.00..323.48 rows=1,286 width=4) (actual time=0.012..0.012 rows=1 loops=1)

  • Filter: (id_uf = 26)
44. 0.000 0.053 ↓ 0.0 0 1

Hash (cost=362.81..362.81 rows=1 width=96) (actual time=0.053..0.053 rows=0 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 8kB
45. 0.013 0.053 ↓ 0.0 0 1

Hash Join (cost=125.37..362.81 rows=1 width=96) (actual time=0.053..0.053 rows=0 loops=1)

  • Hash Cond: (fo.id_grade_trib_aliq = gd.id_grade_trib_aliq)
46. 0.026 0.026 ↑ 12,389.0 1 1

Seq Scan on fs_grade_trib_ufo fo (cost=0.00..190.89 rows=12,389 width=8) (actual time=0.026..0.026 rows=1 loops=1)

47. 0.000 0.014 ↓ 0.0 0 1

Hash (cost=125.36..125.36 rows=1 width=88) (actual time=0.014..0.014 rows=0 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 8kB
48. 0.001 0.014 ↓ 0.0 0 1

Nested Loop (cost=102.97..125.36 rows=1 width=88) (actual time=0.014..0.014 rows=0 loops=1)

  • Join Filter: (ga.id_grade_trib = ec_1.id_grade_trib)
49. 0.000 0.013 ↓ 0.0 0 1

Hash Join (cost=102.68..120.96 rows=1 width=84) (actual time=0.013..0.013 rows=0 loops=1)

  • Hash Cond: (el.id_simbologia = ga.id_simbologia)
50. 0.013 0.013 ↓ 0.0 0 1

Seq Scan on eq_prod_com_lista_preco el (cost=0.00..16.00 rows=600 width=72) (actual time=0.013..0.013 rows=0 loops=1)

51. 0.000 0.000 ↓ 0.0 0

Hash (cost=102.67..102.67 rows=1 width=20) (never executed)

52. 0.000 0.000 ↓ 0.0 0

Nested Loop (cost=75.70..102.67 rows=1 width=20) (never executed)

53. 0.000 0.000 ↓ 0.0 0

Hash Join (cost=75.42..101.67 rows=1 width=8) (never executed)

  • Hash Cond: (gd.id_grade_trib_aliq = ge.id_grade_trib_aliq)
54. 0.000 0.000 ↓ 0.0 0

Seq Scan on fs_grade_trib_dcto gd (cost=0.00..25.43 rows=215 width=4) (never executed)

  • Filter: (id_tipo_dcto = 41)
55. 0.000 0.000 ↓ 0.0 0

Hash (cost=75.41..75.41 rows=1 width=4) (never executed)

56. 0.000 0.000 ↓ 0.0 0

Seq Scan on fs_grade_trib_entidade ge (cost=0.00..75.41 rows=1 width=4) (never executed)

  • Filter: (id_tipo_entidade = 3)
57. 0.000 0.000 ↓ 0.0 0

Index Scan using pk_fs_grade_trib_aliq on fs_grade_trib_aliq ga (cost=0.28..1.00 rows=1 width=12) (never executed)

  • Index Cond: (id_grade_trib_aliq = gd.id_grade_trib_aliq)
58. 0.000 0.000 ↓ 0.0 0

Index Scan using idx_eq_prod_com on eq_prod_com ec_1 (cost=0.29..4.39 rows=1 width=8) (never executed)

  • Index Cond: (id_prod_com = el.id_prod_com)
59. 0.000 0.000 ↓ 0.0 0

Index Only Scan using pk_fs_grade_trib on fs_grade_trib gt (cost=0.14..0.16 rows=1 width=4) (never executed)

  • Index Cond: (id_grade_trib = ec_1.id_grade_trib)
  • Heap Fetches: 0
60.          

SubPlan (forNested Loop Left Join)

61. 0.000 0.000 ↓ 0.0 0

Seq Scan on eq_prod_pdc pd (cost=0.00..35.50 rows=10 width=0) (never executed)

  • Filter: (id_prod = ep.id_prod)
62. 0.010 0.010 ↓ 0.0 0 1

Seq Scan on eq_prod_pdc pd_1 (cost=0.00..30.40 rows=2,040 width=4) (actual time=0.010..0.010 rows=0 loops=1)

63. 0.000 0.000 ↓ 0.0 0

Seq Scan on eq_prod_apr pa (cost=0.00..17.50 rows=3 width=0) (never executed)

  • Filter: (id_prod = ep.id_prod)
64. 0.007 0.007 ↓ 0.0 0 1

Seq Scan on eq_prod_apr pa_1 (cost=0.00..16.00 rows=600 width=4) (actual time=0.007..0.007 rows=0 loops=1)

65. 0.110 2.200 ↑ 1.0 1 110

Aggregate (cost=3.63..3.64 rows=1 width=8) (actual time=0.020..0.020 rows=1 loops=110)

66. 1.188 2.090 ↓ 0.0 0 110

Nested Loop (cost=0.00..3.63 rows=1 width=4) (actual time=0.019..0.019 rows=0 loops=110)

  • Join Filter: (od.id_promo = eo.id_promo)
  • Rows Removed by Join Filter: 0
67. 0.880 0.880 ↓ 0.0 0 110

Seq Scan on eq_promo_prod od (cost=0.00..1.95 rows=1 width=8) (actual time=0.008..0.008 rows=0 loops=110)

  • Filter: (id_prod = ep.id_prod)
  • Rows Removed by Filter: 76
68. 0.022 0.022 ↑ 1.0 3 1

Seq Scan on eq_promo eo (cost=0.00..1.64 rows=3 width=4) (actual time=0.019..0.022 rows=3 loops=1)

  • Filter: (((LOCALTIMESTAMP)::date >= (dt_inicial)::date) AND ((LOCALTIMESTAMP)::date <= (dt_final)::date) AND ((LOCALTIMESTAMP)::time without time zone >= hr_inicial) AND ((LOCALTIMESTAMP)::time without time zone <= hr_final))
  • Rows Removed by Filter: 13
69. 0.880 106.700 ↑ 1.0 1 110

Limit (cost=0.00..503.23 rows=1 width=13) (actual time=0.970..0.970 rows=1 loops=110)

70. 105.820 105.820 ↑ 1.0 1 110

Seq Scan on eq_prod_ean pe (cost=0.00..503.23 rows=1 width=13) (actual time=0.962..0.962 rows=1 loops=110)

  • Filter: (id_prod = ep.id_prod)
  • Rows Removed by Filter: 13478