explain.depesz.com

PostgreSQL's explain analyze made readable

Result: QYER

Settings
# exclusive inclusive rows x rows loops node
1. 1.385 187.926 ↑ 2.3 110 1

Nested Loop Left Join (cost=3,929.97..137,113.84 rows=256 width=694) (actual time=37.024..187.926 rows=110 loops=1)

  • Join Filter: ((ec_1.id_prod_com = ec.id_prod_com) AND (fo.id_uf = tm.id_uf))
2. 0.156 44.173 ↑ 2.3 110 1

Hash Left Join (cost=3,567.00..4,254.02 rows=256 width=407) (actual time=36.615..44.173 rows=110 loops=1)

  • Hash Cond: (eq.id_tipo_estoque = tt.id_tipo_estoque)
  • Join Filter: (eq.id_tipo_estoque = 1)
3. 0.206 43.983 ↑ 2.3 110 1

Hash Left Join (cost=3,565.94..4,251.12 rows=256 width=389) (actual time=36.563..43.983 rows=110 loops=1)

  • Hash Cond: (ep.id_pes_for = fr.id_pes)
4. 0.123 43.265 ↑ 2.3 110 1

Hash Left Join (cost=3,528.39..4,212.90 rows=256 width=366) (actual time=35.956..43.265 rows=110 loops=1)

  • Hash Cond: (ep.id_pes_fab = ff.id_pes)
5. 0.122 42.804 ↑ 2.3 110 1

Hash Left Join (cost=3,490.84..4,174.68 rows=256 width=343) (actual time=35.601..42.804 rows=110 loops=1)

  • Hash Cond: (ep.id_pes_lab = fl.id_pes)
6. 0.133 42.136 ↑ 2.3 110 1

Hash Left Join (cost=3,453.29..4,136.46 rows=256 width=320) (actual time=35.042..42.136 rows=110 loops=1)

  • Hash Cond: (ep.id_tipo_prod = tp.id_tipo_prod)
7. 0.122 41.959 ↑ 2.3 110 1

Hash Join (cost=3,451.96..4,134.26 rows=256 width=320) (actual time=34.981..41.959 rows=110 loops=1)

  • Hash Cond: (ep.id_marca = em.id_marca)
8. 0.131 41.800 ↑ 2.3 110 1

Hash Join (cost=3,450.91..4,131.12 rows=256 width=320) (actual time=34.932..41.800 rows=110 loops=1)

  • Hash Cond: (ep.id_dpto_d = ed.id_dpto)
9. 0.203 41.651 ↑ 2.3 110 1

Hash Left Join (cost=3,449.51..4,128.89 rows=256 width=315) (actual time=34.905..41.651 rows=110 loops=1)

  • Hash Cond: (ep.id_ncm = tn.id_ncm)
10. 0.129 37.336 ↑ 2.3 110 1

Hash Join (cost=3,015.49..3,694.20 rows=256 width=311) (actual time=30.710..37.336 rows=110 loops=1)

  • Hash Cond: (ep.id_unid_v = un.id_unid)
11. 0.101 37.191 ↑ 2.3 110 1

Nested Loop (cost=3,014.00..3,691.90 rows=256 width=308) (actual time=30.686..37.191 rows=110 loops=1)

12. 0.004 0.023 ↑ 1.0 1 1

Nested Loop (cost=0.28..9.33 rows=1 width=8) (actual time=0.022..0.023 rows=1 loops=1)

13. 0.011 0.011 ↑ 1.0 1 1

Seq Scan on cg_emp cg (cost=0.00..1.02 rows=1 width=8) (actual time=0.010..0.011 rows=1 loops=1)

  • Filter: (id_emp = 1)
  • Rows Removed by Filter: 1
14. 0.008 0.008 ↑ 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=0.008..0.008 rows=1 loops=1)

  • Index Cond: (id_municipio = cg.id_municipio)
15. 2.608 37.067 ↑ 2.3 110 1

Hash Right Join (cost=3,013.71..3,680.01 rows=256 width=308) (actual time=30.662..37.067 rows=110 loops=1)

  • Hash Cond: (eq.id_prod = ec.id_prod)
16. 3.895 3.895 ↑ 1.0 26,340 1

Seq Scan on eq_prod_qtde eq (cost=0.00..565.01 rows=26,340 width=55) (actual time=0.036..3.895 rows=26,340 loops=1)

  • Filter: (id_emp = 1)
  • Rows Removed by Filter: 61
17. 0.118 30.564 ↑ 2.3 110 1

Hash (cost=3,010.51..3,010.51 rows=256 width=261) (actual time=30.564..30.564 rows=110 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 29kB
18. 3.330 30.446 ↑ 2.3 110 1

Hash Join (cost=1,128.37..3,010.51 rows=256 width=261) (actual time=15.687..30.446 rows=110 loops=1)

  • Hash Cond: (ec.id_prod = ep.id_prod)
19. 11.598 11.598 ↑ 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=0.011..11.598 rows=26,811 loops=1)

  • Filter: ((id_emp = 1) AND (id_tipo_situacao = 4))
  • Rows Removed by Filter: 26813
20. 0.120 15.518 ↑ 2.3 110 1

Hash (cost=1,125.18..1,125.18 rows=255 width=220) (actual time=15.517..15.518 rows=110 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 24kB
21. 15.398 15.398 ↑ 2.3 110 1

Seq Scan on eq_prod ep (cost=0.00..1,125.18 rows=255 width=220) (actual time=0.114..15.398 rows=110 loops=1)

  • Filter: (((descricaor)::text ~~ '%ARROZ%'::text) AND ((especial)::text = 'NAO'::text))
  • Rows Removed by Filter: 26702
22. 0.004 0.016 ↑ 1.0 22 1

Hash (cost=1.22..1.22 rows=22 width=7) (actual time=0.016..0.016 rows=22 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 9kB
23. 0.012 0.012 ↑ 1.0 22 1

Seq Scan on tb_unid un (cost=0.00..1.22 rows=22 width=7) (actual time=0.010..0.012 rows=22 loops=1)

24. 2.218 4.112 ↑ 1.0 12,534 1

Hash (cost=277.34..277.34 rows=12,534 width=12) (actual time=4.112..4.112 rows=12,534 loops=1)

  • Buckets: 16384 Batches: 1 Memory Usage: 716kB
25. 1.894 1.894 ↑ 1.0 12,534 1

Seq Scan on tb_ncm tn (cost=0.00..277.34 rows=12,534 width=12) (actual time=0.012..1.894 rows=12,534 loops=1)

26. 0.006 0.018 ↑ 1.0 18 1

Hash (cost=1.18..1.18 rows=18 width=13) (actual time=0.018..0.018 rows=18 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 9kB
27. 0.012 0.012 ↑ 1.0 18 1

Seq Scan on eq_dpto ed (cost=0.00..1.18 rows=18 width=13) (actual time=0.010..0.012 rows=18 loops=1)

28. 0.007 0.037 ↑ 1.0 2 1

Hash (cost=1.02..1.02 rows=2 width=8) (actual time=0.037..0.037 rows=2 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 9kB
29. 0.030 0.030 ↑ 1.0 2 1

Seq Scan on eq_marca em (cost=0.00..1.02 rows=2 width=8) (actual time=0.029..0.030 rows=2 loops=1)

30. 0.016 0.044 ↑ 1.0 15 1

Hash (cost=1.15..1.15 rows=15 width=4) (actual time=0.044..0.044 rows=15 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 9kB
31. 0.028 0.028 ↑ 1.0 15 1

Seq Scan on tb_tipo_prod tp (cost=0.00..1.15 rows=15 width=4) (actual time=0.025..0.028 rows=15 loops=1)

32. 0.225 0.546 ↑ 1.0 691 1

Hash (cost=28.91..28.91 rows=691 width=31) (actual time=0.546..0.546 rows=691 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 52kB
33. 0.321 0.321 ↑ 1.0 691 1

Seq Scan on fn_pes fl (cost=0.00..28.91 rows=691 width=31) (actual time=0.016..0.321 rows=691 loops=1)

34. 0.154 0.338 ↑ 1.0 691 1

Hash (cost=28.91..28.91 rows=691 width=31) (actual time=0.338..0.338 rows=691 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 52kB
35. 0.184 0.184 ↑ 1.0 691 1

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

36. 0.232 0.512 ↑ 1.0 691 1

Hash (cost=28.91..28.91 rows=691 width=31) (actual time=0.512..0.512 rows=691 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 52kB
37. 0.280 0.280 ↑ 1.0 691 1

Seq Scan on fn_pes fr (cost=0.00..28.91 rows=691 width=31) (actual time=0.019..0.280 rows=691 loops=1)

38. 0.012 0.034 ↑ 1.0 3 1

Hash (cost=1.03..1.03 rows=3 width=22) (actual time=0.034..0.034 rows=3 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 9kB
39. 0.022 0.022 ↑ 1.0 3 1

Seq Scan on tb_tipo_estoque tt (cost=0.00..1.03 rows=3 width=22) (actual time=0.022..0.022 rows=3 loops=1)

40. 0.052 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 0.058 ↓ 0.0 0 1

Nested Loop (cost=362.97..691.29 rows=1 width=72) (actual time=0.058..0.058 rows=0 loops=1)

42. 0.010 0.058 ↓ 0.0 0 1

Hash Join (cost=362.83..691.13 rows=1 width=80) (actual time=0.058..0.058 rows=0 loops=1)

  • Hash Cond: (fd.id_grade_trib_aliq = gd.id_grade_trib_aliq)
43. 0.018 0.018 ↑ 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=0.018..0.018 rows=1 loops=1)

  • Filter: (id_uf = 26)
44. 0.000 0.030 ↓ 0.0 0 1

Hash (cost=362.81..362.81 rows=1 width=96) (actual time=0.030..0.030 rows=0 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 8kB
45. 0.009 0.030 ↓ 0.0 0 1

Hash Join (cost=125.37..362.81 rows=1 width=96) (actual time=0.030..0.030 rows=0 loops=1)

  • Hash Cond: (fo.id_grade_trib_aliq = gd.id_grade_trib_aliq)
46. 0.011 0.011 ↑ 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=0.011..0.011 rows=1 loops=1)

47. 0.001 0.010 ↓ 0.0 0 1

Hash (cost=125.36..125.36 rows=1 width=88) (actual time=0.010..0.010 rows=0 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 8kB
48. 0.000 0.009 ↓ 0.0 0 1

Nested Loop (cost=102.97..125.36 rows=1 width=88) (actual time=0.009..0.009 rows=0 loops=1)

  • Join Filter: (ga.id_grade_trib = ec_1.id_grade_trib)
49. 0.001 0.009 ↓ 0.0 0 1

Hash Join (cost=102.68..120.96 rows=1 width=84) (actual time=0.009..0.009 rows=0 loops=1)

  • Hash Cond: (el.id_simbologia = ga.id_simbologia)
50. 0.008 0.008 ↓ 0.0 0 1

Seq Scan on eq_prod_com_lista_preco el (cost=0.00..16.00 rows=600 width=72) (actual time=0.008..0.008 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. 0.016 0.016 ↓ 0.0 0 1

Seq Scan on eq_prod_pdc pd_1 (cost=0.00..30.40 rows=2,040 width=4) (actual time=0.016..0.016 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. 0.012 0.012 ↓ 0.0 0 1

Seq Scan on eq_prod_apr pa_1 (cost=0.00..16.00 rows=600 width=4) (actual time=0.012..0.012 rows=0 loops=1)

65. 0.330 2.640 ↑ 1.0 1 110

Aggregate (cost=3.63..3.64 rows=1 width=8) (actual time=0.024..0.024 rows=1 loops=110)

66. 1.409 2.310 ↓ 0.0 0 110

Nested Loop (cost=0.00..3.63 rows=1 width=4) (actual time=0.021..0.021 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. 0.021 0.021 ↑ 1.0 3 1

Seq Scan on eq_promo eo (cost=0.00..1.64 rows=3 width=4) (actual time=0.019..0.021 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. 0.990 139.590 ↑ 1.0 1 110

Limit (cost=0.00..503.23 rows=1 width=13) (actual time=1.268..1.269 rows=1 loops=110)

70. 138.600 138.600 ↑ 1.0 1 110

Seq Scan on eq_prod_ean pe (cost=0.00..503.23 rows=1 width=13) (actual time=1.260..1.260 rows=1 loops=110)

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