explain.depesz.com

PostgreSQL's explain analyze made readable

Result: GjKp

Settings
# exclusive inclusive rows x rows loops node
1. 0.928 184.543 ↑ 2.3 110 1

Nested Loop Left Join (cost=5,362.67..138,602.90 rows=256 width=694) (actual time=69.528..184.543 rows=110 loops=1)

  • Join Filter: ((ec_1.id_prod_com = ec.id_prod_com) AND (fo.id_uf = tm.id_uf))
2. 0.097 76.232 ↑ 2.3 110 1

Hash Left Join (cost=4,999.70..5,743.07 rows=256 width=407) (actual time=67.499..76.232 rows=110 loops=1)

  • Hash Cond: (eq.id_tipo_estoque = tt.id_tipo_estoque)
  • Join Filter: (eq.id_tipo_estoque = 1)
3. 0.088 76.104 ↑ 2.3 110 1

Hash Left Join (cost=4,998.64..5,740.18 rows=256 width=389) (actual time=67.460..76.104 rows=110 loops=1)

  • Hash Cond: (ep.id_pes_for = fr.id_pes)
4. 0.066 75.578 ↑ 2.3 110 1

Hash Left Join (cost=4,961.09..5,701.96 rows=256 width=366) (actual time=67.015..75.578 rows=110 loops=1)

  • Hash Cond: (ep.id_pes_fab = ff.id_pes)
5. 0.063 75.051 ↑ 2.3 110 1

Hash Left Join (cost=4,923.54..5,663.74 rows=256 width=343) (actual time=66.540..75.051 rows=110 loops=1)

  • Hash Cond: (ep.id_pes_lab = fl.id_pes)
6. 0.084 74.479 ↑ 2.3 110 1

Hash Left Join (cost=4,885.99..5,625.52 rows=256 width=320) (actual time=66.024..74.479 rows=110 loops=1)

  • Hash Cond: (ep.id_tipo_prod = tp.id_tipo_prod)
7. 0.088 74.344 ↑ 2.3 110 1

Hash Join (cost=4,884.66..5,623.32 rows=256 width=320) (actual time=65.958..74.344 rows=110 loops=1)

  • Hash Cond: (ep.id_marca = em.id_marca)
8. 0.084 74.211 ↑ 2.3 110 1

Hash Join (cost=4,883.61..5,620.18 rows=256 width=320) (actual time=65.901..74.211 rows=110 loops=1)

  • Hash Cond: (ep.id_dpto_d = ed.id_dpto)
9. 0.218 74.097 ↑ 2.3 110 1

Hash Left Join (cost=4,882.21..5,617.94 rows=256 width=315) (actual time=65.862..74.097 rows=110 loops=1)

  • Hash Cond: (ep.id_ncm = tn.id_ncm)
10. 0.213 67.564 ↑ 2.3 110 1

Hash Join (cost=4,448.19..5,183.26 rows=256 width=311) (actual time=59.425..67.564 rows=110 loops=1)

  • Hash Cond: (ep.id_unid_v = un.id_unid)
11. 0.056 67.320 ↑ 2.3 110 1

Nested Loop (cost=4,446.70..5,180.96 rows=256 width=308) (actual time=59.268..67.320 rows=110 loops=1)

12. 0.005 0.031 ↑ 1.0 1 1

Nested Loop (cost=0.28..9.33 rows=1 width=8) (actual time=0.030..0.031 rows=1 loops=1)

13. 0.014 0.014 ↑ 1.0 1 1

Seq Scan on cg_emp cg (cost=0.00..1.02 rows=1 width=8) (actual time=0.013..0.014 rows=1 loops=1)

  • Filter: (id_emp = 1)
  • Rows Removed by Filter: 1
14. 0.012 0.012 ↑ 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=0.012..0.012 rows=1 loops=1)

  • Index Cond: (id_municipio = cg.id_municipio)
15. 2.400 67.233 ↑ 2.3 110 1

Hash Right Join (cost=4,446.41..5,169.07 rows=256 width=308) (actual time=59.235..67.233 rows=110 loops=1)

  • Hash Cond: ((pq.id_prod = eq.id_prod) AND (pq.id_tipo_estoque = eq.id_tipo_estoque))
16. 16.321 20.858 ↓ 1.0 26,340 1

HashAggregate (cost=762.56..1,025.34 rows=26,278 width=112) (actual time=15.134..20.858 rows=26,340 loops=1)

  • Group Key: pq.id_emp, pq.id_prod, pq.id_tipo_estoque
17. 4.537 4.537 ↑ 1.0 26,340 1

Seq Scan on eq_prod_qtde pq (cost=0.00..565.01 rows=26,340 width=12) (actual time=0.030..4.537 rows=26,340 loops=1)

  • Filter: (id_emp = 1)
  • Rows Removed by Filter: 61
18. 0.097 43.975 ↑ 2.3 110 1

Hash (cost=3,680.01..3,680.01 rows=256 width=312) (actual time=43.975..43.975 rows=110 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 30kB
19. 1.675 43.878 ↑ 2.3 110 1

Hash Right Join (cost=3,013.71..3,680.01 rows=256 width=312) (actual time=39.406..43.878 rows=110 loops=1)

  • Hash Cond: (eq.id_prod = ec.id_prod)
20. 2.888 2.888 ↑ 1.0 26,340 1

Seq Scan on eq_prod_qtde eq (cost=0.00..565.01 rows=26,340 width=55) (actual time=0.031..2.888 rows=26,340 loops=1)

  • Filter: (id_emp = 1)
  • Rows Removed by Filter: 61
21. 0.149 39.315 ↑ 2.3 110 1

Hash (cost=3,010.51..3,010.51 rows=256 width=261) (actual time=39.315..39.315 rows=110 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 29kB
22. 3.283 39.166 ↑ 2.3 110 1

Hash Join (cost=1,128.37..3,010.51 rows=256 width=261) (actual time=26.009..39.166 rows=110 loops=1)

  • Hash Cond: (ec.id_prod = ep.id_prod)
23. 10.035 10.035 ↑ 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..10.035 rows=26,811 loops=1)

  • Filter: ((id_emp = 1) AND (id_tipo_situacao = 4))
  • Rows Removed by Filter: 26813
24. 0.133 25.848 ↑ 2.3 110 1

Hash (cost=1,125.18..1,125.18 rows=255 width=220) (actual time=25.848..25.848 rows=110 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 24kB
25. 25.715 25.715 ↑ 2.3 110 1

Seq Scan on eq_prod ep (cost=0.00..1,125.18 rows=255 width=220) (actual time=0.173..25.715 rows=110 loops=1)

  • Filter: (((descricaor)::text ~~ '%ARROZ%'::text) AND ((especial)::text = 'NAO'::text))
  • Rows Removed by Filter: 26702
26. 0.008 0.031 ↑ 1.0 22 1

Hash (cost=1.22..1.22 rows=22 width=7) (actual time=0.031..0.031 rows=22 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 9kB
27. 0.023 0.023 ↑ 1.0 22 1

Seq Scan on tb_unid un (cost=0.00..1.22 rows=22 width=7) (actual time=0.018..0.023 rows=22 loops=1)

28. 3.341 6.315 ↑ 1.0 12,534 1

Hash (cost=277.34..277.34 rows=12,534 width=12) (actual time=6.315..6.315 rows=12,534 loops=1)

  • Buckets: 16384 Batches: 1 Memory Usage: 716kB
29. 2.974 2.974 ↑ 1.0 12,534 1

Seq Scan on tb_ncm tn (cost=0.00..277.34 rows=12,534 width=12) (actual time=0.031..2.974 rows=12,534 loops=1)

30. 0.012 0.030 ↑ 1.0 18 1

Hash (cost=1.18..1.18 rows=18 width=13) (actual time=0.030..0.030 rows=18 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 9kB
31. 0.018 0.018 ↑ 1.0 18 1

Seq Scan on eq_dpto ed (cost=0.00..1.18 rows=18 width=13) (actual time=0.014..0.018 rows=18 loops=1)

32. 0.009 0.045 ↑ 1.0 2 1

Hash (cost=1.02..1.02 rows=2 width=8) (actual time=0.045..0.045 rows=2 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 9kB
33. 0.036 0.036 ↑ 1.0 2 1

Seq Scan on eq_marca em (cost=0.00..1.02 rows=2 width=8) (actual time=0.035..0.036 rows=2 loops=1)

34. 0.016 0.051 ↑ 1.0 15 1

Hash (cost=1.15..1.15 rows=15 width=4) (actual time=0.051..0.051 rows=15 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 9kB
35. 0.035 0.035 ↑ 1.0 15 1

Seq Scan on tb_tipo_prod tp (cost=0.00..1.15 rows=15 width=4) (actual time=0.032..0.035 rows=15 loops=1)

36. 0.215 0.509 ↑ 1.0 691 1

Hash (cost=28.91..28.91 rows=691 width=31) (actual time=0.509..0.509 rows=691 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 52kB
37. 0.294 0.294 ↑ 1.0 691 1

Seq Scan on fn_pes fl (cost=0.00..28.91 rows=691 width=31) (actual time=0.015..0.294 rows=691 loops=1)

38. 0.220 0.461 ↑ 1.0 691 1

Hash (cost=28.91..28.91 rows=691 width=31) (actual time=0.461..0.461 rows=691 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 52kB
39. 0.241 0.241 ↑ 1.0 691 1

Seq Scan on fn_pes ff (cost=0.00..28.91 rows=691 width=31) (actual time=0.012..0.241 rows=691 loops=1)

40. 0.205 0.438 ↑ 1.0 691 1

Hash (cost=28.91..28.91 rows=691 width=31) (actual time=0.438..0.438 rows=691 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 52kB
41. 0.233 0.233 ↑ 1.0 691 1

Seq Scan on fn_pes fr (cost=0.00..28.91 rows=691 width=31) (actual time=0.012..0.233 rows=691 loops=1)

42. 0.015 0.031 ↑ 1.0 3 1

Hash (cost=1.03..1.03 rows=3 width=22) (actual time=0.031..0.031 rows=3 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 9kB
43. 0.016 0.016 ↑ 1.0 3 1

Seq Scan on tb_tipo_estoque tt (cost=0.00..1.03 rows=3 width=22) (actual time=0.015..0.016 rows=3 loops=1)

44. 0.000 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)

45. 0.000 0.127 ↓ 0.0 0 1

Nested Loop (cost=362.97..691.29 rows=1 width=72) (actual time=0.127..0.127 rows=0 loops=1)

46. 0.070 0.127 ↓ 0.0 0 1

Hash Join (cost=362.83..691.13 rows=1 width=80) (actual time=0.127..0.127 rows=0 loops=1)

  • Hash Cond: (fd.id_grade_trib_aliq = gd.id_grade_trib_aliq)
47. 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)
48. 0.001 0.039 ↓ 0.0 0 1

Hash (cost=362.81..362.81 rows=1 width=96) (actual time=0.039..0.039 rows=0 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 8kB
49. 0.009 0.038 ↓ 0.0 0 1

Hash Join (cost=125.37..362.81 rows=1 width=96) (actual time=0.038..0.038 rows=0 loops=1)

  • Hash Cond: (fo.id_grade_trib_aliq = gd.id_grade_trib_aliq)
50. 0.017 0.017 ↑ 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=0.017..0.017 rows=1 loops=1)

51. 0.001 0.012 ↓ 0.0 0 1

Hash (cost=125.36..125.36 rows=1 width=88) (actual time=0.012..0.012 rows=0 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 8kB
52. 0.000 0.011 ↓ 0.0 0 1

Nested Loop (cost=102.97..125.36 rows=1 width=88) (actual time=0.011..0.011 rows=0 loops=1)

  • Join Filter: (ga.id_grade_trib = ec_1.id_grade_trib)
53. 0.001 0.011 ↓ 0.0 0 1

Hash Join (cost=102.68..120.96 rows=1 width=84) (actual time=0.011..0.011 rows=0 loops=1)

  • Hash Cond: (el.id_simbologia = ga.id_simbologia)
54. 0.010 0.010 ↓ 0.0 0 1

Seq Scan on eq_prod_com_lista_preco el (cost=0.00..16.00 rows=600 width=72) (actual time=0.010..0.010 rows=0 loops=1)

55. 0.000 0.000 ↓ 0.0 0

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

56. 0.000 0.000 ↓ 0.0 0

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

57. 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)
58. 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)
59. 0.000 0.000 ↓ 0.0 0

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

60. 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)
61. 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)
62. 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)
63. 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
64.          

SubPlan (forNested Loop Left Join)

65. 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)
66. 0.013 0.013 ↓ 0.0 0 1

Seq Scan on eq_prod_pdc pd_1 (cost=0.00..30.40 rows=2,040 width=4) (actual time=0.013..0.013 rows=0 loops=1)

67. 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)
68. 0.010 0.010 ↓ 0.0 0 1

Seq Scan on eq_prod_apr pa_1 (cost=0.00..16.00 rows=600 width=4) (actual time=0.010..0.010 rows=0 loops=1)

69. 0.110 1.980 ↑ 1.0 1 110

Aggregate (cost=3.63..3.64 rows=1 width=8) (actual time=0.018..0.018 rows=1 loops=110)

70. 1.080 1.870 ↓ 0.0 0 110

Nested Loop (cost=0.00..3.63 rows=1 width=4) (actual time=0.017..0.017 rows=0 loops=110)

  • Join Filter: (od.id_promo = eo.id_promo)
  • Rows Removed by Join Filter: 0
71. 0.770 0.770 ↓ 0.0 0 110

Seq Scan on eq_promo_prod od (cost=0.00..1.95 rows=1 width=8) (actual time=0.007..0.007 rows=0 loops=110)

  • Filter: (id_prod = ep.id_prod)
  • Rows Removed by Filter: 76
72. 0.020 0.020 ↑ 1.0 3 1

Seq Scan on eq_promo eo (cost=0.00..1.64 rows=3 width=4) (actual time=0.018..0.020 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
73. 0.880 105.270 ↑ 1.0 1 110

Limit (cost=0.00..503.23 rows=1 width=13) (actual time=0.956..0.957 rows=1 loops=110)

74. 104.390 104.390 ↑ 1.0 1 110

Seq Scan on eq_prod_ean pe (cost=0.00..503.23 rows=1 width=13) (actual time=0.949..0.949 rows=1 loops=110)

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