explain.depesz.com

PostgreSQL's explain analyze made readable

Result: z4g

Settings
# exclusive inclusive rows x rows loops node
1. 0.624 162.128 ↑ 2.3 109 1

Hash Left Join (cost=4,055.34..135,561.67 rows=251 width=598) (actual time=42.615..162.128 rows=109 loops=1)

  • Hash Cond: ((ec.id_prod_com = ec_1.id_prod_com) AND (tm.id_uf = fo.id_uf))
2. 0.101 52.684 ↑ 2.3 109 1

Hash Left Join (cost=3,928.34..5,852.57 rows=251 width=394) (actual time=42.341..52.684 rows=109 loops=1)

  • Hash Cond: (ep.id_pes_for = fr.id_pes)
3. 0.068 51.783 ↑ 2.3 109 1

Hash Left Join (cost=3,890.79..5,814.36 rows=251 width=371) (actual time=41.523..51.783 rows=109 loops=1)

  • Hash Cond: (ep.id_pes_fab = ff.id_pes)
4. 0.086 51.223 ↑ 2.3 109 1

Hash Left Join (cost=3,853.25..5,776.15 rows=251 width=348) (actual time=41.024..51.223 rows=109 loops=1)

  • Hash Cond: (ep.id_pes_lab = fl.id_pes)
5. 0.099 50.410 ↑ 2.3 109 1

Hash Left Join (cost=3,815.70..5,737.95 rows=251 width=325) (actual time=40.290..50.410 rows=109 loops=1)

  • Hash Cond: (ep.id_tipo_prod = tp.id_tipo_prod)
6. 0.089 50.249 ↑ 2.3 109 1

Hash Join (cost=3,814.36..5,735.76 rows=251 width=325) (actual time=40.203..50.249 rows=109 loops=1)

  • Hash Cond: (ep.id_marca = em.id_marca)
7. 0.093 50.125 ↑ 2.3 109 1

Hash Join (cost=3,813.32..5,732.66 rows=251 width=325) (actual time=40.162..50.125 rows=109 loops=1)

  • Hash Cond: (ep.id_dpto_d = ed.id_dpto)
8. 0.063 50.015 ↑ 2.3 109 1

Nested Loop (cost=3,811.91..5,730.44 rows=251 width=320) (actual time=40.139..50.015 rows=109 loops=1)

9. 0.010 0.010 ↑ 1.0 1 1

Seq Scan on tb_tipo_estoque tt (cost=0.00..1.04 rows=1 width=22) (actual time=0.008..0.010 rows=1 loops=1)

  • Filter: (id_tipo_estoque = 1)
  • Rows Removed by Filter: 2
10. 2.141 49.942 ↑ 2.3 109 1

Hash Join (cost=3,811.91..5,726.89 rows=251 width=302) (actual time=40.128..49.942 rows=109 loops=1)

  • Hash Cond: (ec.id_prod = ep.id_prod)
11. 7.857 7.857 ↑ 1.0 26,811 1

Seq Scan on eq_prod_com ec (cost=0.00..1,811.36 rows=26,962 width=28) (actual time=0.010..7.857 rows=26,811 loops=1)

  • Filter: ((id_tipo_situacao = 4) AND (id_emp = 1))
  • Rows Removed by Filter: 26813
12. 0.118 39.944 ↑ 2.3 109 1

Hash (cost=3,808.79..3,808.79 rows=250 width=290) (actual time=39.944..39.944 rows=109 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 28kB
13. 0.060 39.826 ↑ 2.3 109 1

Hash Join (cost=3,071.42..3,808.79 rows=250 width=290) (actual time=31.852..39.826 rows=109 loops=1)

  • Hash Cond: (ep.id_unid_v = un.id_unid)
14. 0.035 39.751 ↑ 2.3 109 1

Nested Loop (cost=3,069.93..3,806.51 rows=250 width=287) (actual time=31.833..39.751 rows=109 loops=1)

15. 0.003 0.022 ↑ 1.0 1 1

Nested Loop (cost=0.28..9.33 rows=1 width=8) (actual time=0.019..0.022 rows=1 loops=1)

16. 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=0.009..0.011 rows=1 loops=1)

  • Filter: (id_emp = 1)
  • Rows Removed by Filter: 1
17. 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)
18. 2.356 39.694 ↑ 2.3 109 1

Hash Right Join (cost=3,069.64..3,794.68 rows=250 width=279) (actual time=31.812..39.694 rows=109 loops=1)

  • Hash Cond: ((pq.id_tipo_estoque = eq.id_tipo_estoque) AND (pq.id_prod = ep.id_prod))
19. 14.800 19.519 ↓ 1.0 26,338 1

HashAggregate (cost=828.55..1,091.31 rows=26,276 width=112) (actual time=13.925..19.519 rows=26,338 loops=1)

  • Group Key: pq.id_emp, pq.id_prod, pq.id_tipo_estoque
20. 4.719 4.719 ↑ 1.0 26,338 1

Seq Scan on eq_prod_qtde pq (cost=0.00..631.01 rows=26,338 width=12) (actual time=0.048..4.719 rows=26,338 loops=1)

  • Filter: ((id_emp = 1) AND (id_tipo_estoque = 1))
  • Rows Removed by Filter: 63
21. 0.072 17.819 ↑ 2.3 109 1

Hash (cost=2,237.34..2,237.34 rows=250 width=279) (actual time=17.819..17.819 rows=109 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 27kB
22. 0.750 17.747 ↑ 2.3 109 1

Merge Right Join (cost=1,838.77..2,237.34 rows=250 width=279) (actual time=15.381..17.747 rows=109 loops=1)

  • Merge Cond: (tn.id_ncm = ep.id_ncm)
23. 1.620 1.620 ↑ 1.3 9,439 1

Index Scan using idx_tb_ncm_id_ncm on tb_ncm tn (cost=0.29..491.90 rows=12,534 width=12) (actual time=0.006..1.620 rows=9,439 loops=1)

24. 0.086 15.377 ↑ 2.3 109 1

Sort (cost=1,838.49..1,839.11 rows=250 width=275) (actual time=15.370..15.377 rows=109 loops=1)

  • Sort Key: ep.id_ncm
  • Sort Method: quicksort Memory: 51kB
25. 1.610 15.291 ↑ 2.3 109 1

Hash Join (cost=1,128.37..1,828.53 rows=250 width=275) (actual time=10.239..15.291 rows=109 loops=1)

  • Hash Cond: (eq.id_prod = ep.id_prod)
26. 3.520 3.520 ↑ 1.0 26,338 1

Seq Scan on eq_prod_qtde eq (cost=0.00..631.01 rows=26,338 width=55) (actual time=0.012..3.520 rows=26,338 loops=1)

  • Filter: ((id_tipo_estoque = 1) AND (id_emp = 1))
  • Rows Removed by Filter: 63
27. 0.111 10.161 ↑ 2.3 110 1

Hash (cost=1,125.18..1,125.18 rows=255 width=220) (actual time=10.161..10.161 rows=110 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 24kB
28. 10.050 10.050 ↑ 2.3 110 1

Seq Scan on eq_prod ep (cost=0.00..1,125.18 rows=255 width=220) (actual time=0.108..10.050 rows=110 loops=1)

  • Filter: (((descricaor)::text ~~ '%ARROZ%'::text) AND ((especial)::text = 'NAO'::text))
  • Rows Removed by Filter: 26702
29. 0.004 0.015 ↑ 1.0 22 1

Hash (cost=1.22..1.22 rows=22 width=7) (actual time=0.015..0.015 rows=22 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 9kB
30. 0.011 0.011 ↑ 1.0 22 1

Seq Scan on tb_unid un (cost=0.00..1.22 rows=22 width=7) (actual time=0.009..0.011 rows=22 loops=1)

31. 0.003 0.017 ↑ 1.0 18 1

Hash (cost=1.18..1.18 rows=18 width=13) (actual time=0.017..0.017 rows=18 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 9kB
32. 0.014 0.014 ↑ 1.0 18 1

Seq Scan on eq_dpto ed (cost=0.00..1.18 rows=18 width=13) (actual time=0.010..0.014 rows=18 loops=1)

33. 0.006 0.035 ↑ 1.0 2 1

Hash (cost=1.02..1.02 rows=2 width=8) (actual time=0.035..0.035 rows=2 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 9kB
34. 0.029 0.029 ↑ 1.0 2 1

Seq Scan on eq_marca em (cost=0.00..1.02 rows=2 width=8) (actual time=0.028..0.029 rows=2 loops=1)

35. 0.030 0.062 ↑ 1.0 15 1

Hash (cost=1.15..1.15 rows=15 width=4) (actual time=0.062..0.062 rows=15 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 9kB
36. 0.032 0.032 ↑ 1.0 15 1

Seq Scan on tb_tipo_prod tp (cost=0.00..1.15 rows=15 width=4) (actual time=0.030..0.032 rows=15 loops=1)

37. 0.305 0.727 ↑ 1.0 691 1

Hash (cost=28.91..28.91 rows=691 width=31) (actual time=0.726..0.727 rows=691 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 52kB
38. 0.422 0.422 ↑ 1.0 691 1

Seq Scan on fn_pes fl (cost=0.00..28.91 rows=691 width=31) (actual time=0.017..0.422 rows=691 loops=1)

39. 0.234 0.492 ↑ 1.0 691 1

Hash (cost=28.91..28.91 rows=691 width=31) (actual time=0.492..0.492 rows=691 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 52kB
40. 0.258 0.258 ↑ 1.0 691 1

Seq Scan on fn_pes ff (cost=0.00..28.91 rows=691 width=31) (actual time=0.015..0.258 rows=691 loops=1)

41. 0.352 0.800 ↑ 1.0 691 1

Hash (cost=28.91..28.91 rows=691 width=31) (actual time=0.800..0.800 rows=691 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 52kB
42. 0.448 0.448 ↑ 1.0 691 1

Seq Scan on fn_pes fr (cost=0.00..28.91 rows=691 width=31) (actual time=0.025..0.448 rows=691 loops=1)

43. 0.000 0.016 ↓ 0.0 0 1

Hash (cost=126.98..126.98 rows=1 width=8) (actual time=0.016..0.016 rows=0 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 8kB
44. 0.001 0.016 ↓ 0.0 0 1

Nested Loop (cost=103.69..126.98 rows=1 width=8) (actual time=0.016..0.016 rows=0 loops=1)

  • Join Filter: (gd.id_grade_trib_aliq = fd.id_grade_trib_aliq)
45. 0.000 0.015 ↓ 0.0 0 1

Nested Loop (cost=103.40..126.37 rows=1 width=24) (actual time=0.015..0.015 rows=0 loops=1)

  • Join Filter: (gd.id_grade_trib_aliq = fo.id_grade_trib_aliq)
46. 0.001 0.015 ↓ 0.0 0 1

Nested Loop (cost=103.11..125.52 rows=1 width=16) (actual time=0.015..0.015 rows=0 loops=1)

47. 0.000 0.014 ↓ 0.0 0 1

Nested Loop (cost=102.97..125.36 rows=1 width=24) (actual time=0.014..0.014 rows=0 loops=1)

  • Join Filter: (ga.id_grade_trib = ec_1.id_grade_trib)
48. 0.001 0.014 ↓ 0.0 0 1

Hash Join (cost=102.68..120.96 rows=1 width=20) (actual time=0.014..0.014 rows=0 loops=1)

  • Hash Cond: (el.id_simbologia = ga.id_simbologia)
49. 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=8) (actual time=0.013..0.013 rows=0 loops=1)

50. 0.000 0.000 ↓ 0.0 0

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

51. 0.000 0.000 ↓ 0.0 0

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

52. 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)
53. 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)
54. 0.000 0.000 ↓ 0.0 0

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

55. 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)
56. 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)
57. 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)
58. 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
59. 0.000 0.000 ↓ 0.0 0

Index Scan using fs_grade_trib_ufo_id_aliq on fs_grade_trib_ufo fo (cost=0.29..0.74 rows=9 width=8) (never executed)

  • Index Cond: (id_grade_trib_aliq = ga.id_grade_trib_aliq)
60. 0.000 0.000 ↓ 0.0 0

Index Scan using fs_grade_trib_ufd_id_aliq on fs_grade_trib_ufd fd (cost=0.29..0.60 rows=1 width=4) (never executed)

  • Index Cond: (id_grade_trib_aliq = fo.id_grade_trib_aliq)
  • Filter: (id_uf = 26)
61.          

SubPlan (forHash Left Join)

62. 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)
63. 0.011 0.011 ↓ 0.0 0 1

Seq Scan on eq_prod_pdc pd_1 (cost=0.00..30.40 rows=2,040 width=4) (actual time=0.011..0.011 rows=0 loops=1)

64. 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)
65. 0.011 0.011 ↓ 0.0 0 1

Seq Scan on eq_prod_apr pa_1 (cost=0.00..16.00 rows=600 width=4) (actual time=0.011..0.011 rows=0 loops=1)

66. 0.218 2.289 ↑ 1.0 1 109

Aggregate (cost=3.63..3.64 rows=1 width=8) (actual time=0.021..0.021 rows=1 loops=109)

67. 1.057 2.071 ↓ 0.0 0 109

Nested Loop (cost=0.00..3.63 rows=1 width=4) (actual time=0.019..0.019 rows=0 loops=109)

  • Join Filter: (od.id_promo = eo.id_promo)
  • Rows Removed by Join Filter: 0
68. 0.981 0.981 ↓ 0.0 0 109

Seq Scan on eq_promo_prod od (cost=0.00..1.95 rows=1 width=8) (actual time=0.009..0.009 rows=0 loops=109)

  • Filter: (id_prod = ep.id_prod)
  • Rows Removed by Filter: 76
69. 0.033 0.033 ↑ 1.0 3 1

Seq Scan on eq_promo eo (cost=0.00..1.64 rows=3 width=4) (actual time=0.031..0.033 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
70. 0.872 106.493 ↑ 1.0 1 109

Limit (cost=0.00..503.23 rows=1 width=13) (actual time=0.976..0.977 rows=1 loops=109)

71. 105.621 105.621 ↑ 1.0 1 109

Seq Scan on eq_prod_ean pe (cost=0.00..503.23 rows=1 width=13) (actual time=0.969..0.969 rows=1 loops=109)

  • Filter: (id_prod = ep.id_prod)
  • Rows Removed by Filter: 13363