explain.depesz.com

PostgreSQL's explain analyze made readable

Result: uJmf

Settings
# exclusive inclusive rows x rows loops node
1. 0.561 157.436 ↑ 2.3 109 1

Hash Left Join (cost=3,956.22..135,462.55 rows=251 width=598) (actual time=42.152..157.436 rows=109 loops=1)

  • Hash Cond: ((ec.id_prod_com = ec_1.id_prod_com) AND (tm.id_uf = fo.id_uf))
2. 0.069 52.752 ↑ 2.3 109 1

Hash Left Join (cost=3,829.22..5,753.45 rows=251 width=394) (actual time=41.990..52.752 rows=109 loops=1)

  • Hash Cond: (ep.id_pes_for = fr.id_pes)
3. 0.060 52.415 ↑ 2.3 109 1

Hash Left Join (cost=3,791.67..5,715.24 rows=251 width=371) (actual time=41.717..52.415 rows=109 loops=1)

  • Hash Cond: (ep.id_pes_fab = ff.id_pes)
4. 0.059 52.072 ↑ 2.3 109 1

Hash Left Join (cost=3,754.13..5,677.03 rows=251 width=348) (actual time=41.427..52.072 rows=109 loops=1)

  • Hash Cond: (ep.id_pes_lab = fl.id_pes)
5. 0.075 51.577 ↑ 2.3 109 1

Hash Left Join (cost=3,716.58..5,638.83 rows=251 width=325) (actual time=40.984..51.577 rows=109 loops=1)

  • Hash Cond: (ep.id_tipo_prod = tp.id_tipo_prod)
6. 0.072 51.463 ↑ 2.3 109 1

Hash Join (cost=3,715.24..5,636.64 rows=251 width=325) (actual time=40.931..51.463 rows=109 loops=1)

  • Hash Cond: (ep.id_marca = em.id_marca)
7. 0.074 51.360 ↑ 2.3 109 1

Hash Join (cost=3,714.20..5,633.54 rows=251 width=325) (actual time=40.894..51.360 rows=109 loops=1)

  • Hash Cond: (ep.id_dpto_d = ed.id_dpto)
8. 0.049 51.266 ↑ 2.3 109 1

Nested Loop (cost=3,712.79..5,631.32 rows=251 width=320) (actual time=40.870..51.266 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. 1.983 51.207 ↑ 2.3 109 1

Hash Join (cost=3,712.79..5,627.77 rows=251 width=302) (actual time=40.858..51.207 rows=109 loops=1)

  • Hash Cond: (ec.id_prod = ep.id_prod)
11. 8.457 8.457 ↑ 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=0.009..8.457 rows=26,811 loops=1)

  • Filter: ((id_tipo_situacao = 4) AND (id_emp = 1))
  • Rows Removed by Filter: 26813
12. 0.075 40.767 ↑ 2.3 109 1

Hash (cost=3,709.67..3,709.67 rows=250 width=290) (actual time=40.767..40.767 rows=109 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 28kB
13. 0.053 40.692 ↑ 2.3 109 1

Hash Join (cost=3,070.80..3,709.67 rows=250 width=290) (actual time=33.747..40.692 rows=109 loops=1)

  • Hash Cond: (ep.id_unid_v = un.id_unid)
14. 0.033 40.623 ↑ 2.3 109 1

Nested Loop (cost=3,069.30..3,707.39 rows=250 width=287) (actual time=33.727..40.623 rows=109 loops=1)

15. 0.001 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. 0.013 0.013 ↑ 1.0 1 1

Seq Scan on cg_emp cg (cost=0.00..1.02 rows=1 width=8) (actual time=0.010..0.013 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. 1.773 40.568 ↑ 2.3 109 1

Hash Right Join (cost=3,069.02..3,695.56 rows=250 width=279) (actual time=33.707..40.568 rows=109 loops=1)

  • Hash Cond: (pq.id_prod = eq.id_prod)
19. 14.569 19.611 ↓ 1.0 26,338 1

HashAggregate (cost=828.55..1,091.31 rows=26,276 width=112) (actual time=14.451..19.611 rows=26,338 loops=1)

  • Group Key: pq.id_emp, pq.id_prod, pq.id_tipo_estoque
20. 5.042 5.042 ↑ 1.0 26,338 1

Seq Scan on eq_prod_qtde pq (cost=0.00..631.01 rows=26,338 width=12) (actual time=0.033..5.042 rows=26,338 loops=1)

  • Filter: ((id_emp = 1) AND (id_tipo_estoque = 1))
  • Rows Removed by Filter: 63
21. 0.062 19.184 ↑ 2.3 109 1

Hash (cost=2,237.34..2,237.34 rows=250 width=279) (actual time=19.184..19.184 rows=109 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 27kB
22. 0.622 19.122 ↑ 2.3 109 1

Merge Right Join (cost=1,838.77..2,237.34 rows=250 width=279) (actual time=17.034..19.122 rows=109 loops=1)

  • Merge Cond: (tn.id_ncm = ep.id_ncm)
23. 1.474 1.474 ↑ 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..1.474 rows=9,439 loops=1)

24. 0.084 17.026 ↑ 2.3 109 1

Sort (cost=1,838.49..1,839.11 rows=250 width=275) (actual time=17.023..17.026 rows=109 loops=1)

  • Sort Key: ep.id_ncm
  • Sort Method: quicksort Memory: 51kB
25. 1.725 16.942 ↑ 2.3 109 1

Hash Join (cost=1,128.37..1,828.53 rows=250 width=275) (actual time=11.692..16.942 rows=109 loops=1)

  • Hash Cond: (eq.id_prod = ep.id_prod)
26. 3.780 3.780 ↑ 1.0 26,338 1

Seq Scan on eq_prod_qtde eq (cost=0.00..631.01 rows=26,338 width=55) (actual time=0.011..3.780 rows=26,338 loops=1)

  • Filter: ((id_tipo_estoque = 1) AND (id_emp = 1))
  • Rows Removed by Filter: 63
27. 0.121 11.437 ↑ 2.3 110 1

Hash (cost=1,125.18..1,125.18 rows=255 width=220) (actual time=11.437..11.437 rows=110 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 24kB
28. 11.316 11.316 ↑ 2.3 110 1

Seq Scan on eq_prod ep (cost=0.00..1,125.18 rows=255 width=220) (actual time=0.102..11.316 rows=110 loops=1)

  • Filter: (((descricaor)::text ~~ '%ARROZ%'::text) AND ((especial)::text = 'NAO'::text))
  • Rows Removed by Filter: 26702
29. 0.006 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
30. 0.010 0.010 ↑ 1.0 22 1

Seq Scan on tb_unid un (cost=0.00..1.22 rows=22 width=7) (actual time=0.008..0.010 rows=22 loops=1)

31. 0.009 0.020 ↑ 1.0 18 1

Hash (cost=1.18..1.18 rows=18 width=13) (actual time=0.020..0.020 rows=18 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 9kB
32. 0.011 0.011 ↑ 1.0 18 1

Seq Scan on eq_dpto ed (cost=0.00..1.18 rows=18 width=13) (actual time=0.010..0.011 rows=18 loops=1)

33. 0.003 0.031 ↑ 1.0 2 1

Hash (cost=1.02..1.02 rows=2 width=8) (actual time=0.031..0.031 rows=2 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 9kB
34. 0.028 0.028 ↑ 1.0 2 1

Seq Scan on eq_marca em (cost=0.00..1.02 rows=2 width=8) (actual time=0.027..0.028 rows=2 loops=1)

35. 0.012 0.039 ↑ 1.0 15 1

Hash (cost=1.15..1.15 rows=15 width=4) (actual time=0.039..0.039 rows=15 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 9kB
36. 0.027 0.027 ↑ 1.0 15 1

Seq Scan on tb_tipo_prod tp (cost=0.00..1.15 rows=15 width=4) (actual time=0.026..0.027 rows=15 loops=1)

37. 0.163 0.436 ↑ 1.0 691 1

Hash (cost=28.91..28.91 rows=691 width=31) (actual time=0.436..0.436 rows=691 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 52kB
38. 0.273 0.273 ↑ 1.0 691 1

Seq Scan on fn_pes fl (cost=0.00..28.91 rows=691 width=31) (actual time=0.011..0.273 rows=691 loops=1)

39. 0.148 0.283 ↑ 1.0 691 1

Hash (cost=28.91..28.91 rows=691 width=31) (actual time=0.283..0.283 rows=691 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 52kB
40. 0.135 0.135 ↑ 1.0 691 1

Seq Scan on fn_pes ff (cost=0.00..28.91 rows=691 width=31) (actual time=0.011..0.135 rows=691 loops=1)

41. 0.129 0.268 ↑ 1.0 691 1

Hash (cost=28.91..28.91 rows=691 width=31) (actual time=0.268..0.268 rows=691 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 52kB
42. 0.139 0.139 ↑ 1.0 691 1

Seq Scan on fn_pes fr (cost=0.00..28.91 rows=691 width=31) (actual time=0.010..0.139 rows=691 loops=1)

43. 0.001 0.013 ↓ 0.0 0 1

Hash (cost=126.98..126.98 rows=1 width=8) (actual time=0.013..0.013 rows=0 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 8kB
44. 0.000 0.012 ↓ 0.0 0 1

Nested Loop (cost=103.69..126.98 rows=1 width=8) (actual time=0.012..0.012 rows=0 loops=1)

  • Join Filter: (gd.id_grade_trib_aliq = fd.id_grade_trib_aliq)
45. 0.000 0.012 ↓ 0.0 0 1

Nested Loop (cost=103.40..126.37 rows=1 width=24) (actual time=0.012..0.012 rows=0 loops=1)

  • Join Filter: (gd.id_grade_trib_aliq = fo.id_grade_trib_aliq)
46. 0.001 0.012 ↓ 0.0 0 1

Nested Loop (cost=103.11..125.52 rows=1 width=16) (actual time=0.012..0.012 rows=0 loops=1)

47. 0.000 0.011 ↓ 0.0 0 1

Nested Loop (cost=102.97..125.36 rows=1 width=24) (actual time=0.011..0.011 rows=0 loops=1)

  • Join Filter: (ga.id_grade_trib = ec_1.id_grade_trib)
48. 0.000 0.011 ↓ 0.0 0 1

Hash Join (cost=102.68..120.96 rows=1 width=20) (actual time=0.011..0.011 rows=0 loops=1)

  • Hash Cond: (el.id_simbologia = ga.id_simbologia)
49. 0.011 0.011 ↓ 0.0 0 1

Seq Scan on eq_prod_com_lista_preco el (cost=0.00..16.00 rows=600 width=8) (actual time=0.011..0.011 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. 0.008 0.008 ↓ 0.0 0 1

Seq Scan on eq_prod_pdc pd_1 (cost=0.00..30.40 rows=2,040 width=4) (actual time=0.008..0.008 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. 0.007 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)

66. 0.109 1.853 ↑ 1.0 1 109

Aggregate (cost=3.63..3.64 rows=1 width=8) (actual time=0.017..0.017 rows=1 loops=109)

67. 0.960 1.744 ↓ 0.0 0 109

Nested Loop (cost=0.00..3.63 rows=1 width=4) (actual time=0.016..0.016 rows=0 loops=109)

  • Join Filter: (od.id_promo = eo.id_promo)
  • Rows Removed by Join Filter: 0
68. 0.763 0.763 ↓ 0.0 0 109

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=109)

  • Filter: (id_prod = ep.id_prod)
  • Rows Removed by Filter: 76
69. 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=0.018..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
70. 0.654 102.242 ↑ 1.0 1 109

Limit (cost=0.00..503.23 rows=1 width=13) (actual time=0.938..0.938 rows=1 loops=109)

71. 101.588 101.588 ↑ 1.0 1 109

Seq Scan on eq_prod_ean pe (cost=0.00..503.23 rows=1 width=13) (actual time=0.932..0.932 rows=1 loops=109)

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