explain.depesz.com

PostgreSQL's explain analyze made readable

Result: PlA2

Settings

Optimization(s) for this plan:

# exclusive inclusive rows x rows loops node
1. 478.657 12,806.131 ↓ 1.0 1,852,240 1

Gather (cost=1,000.00..875,279.45 rows=1,850,054 width=93) (actual time=1,943.357..12,806.131 rows=1,852,240 loops=1)

  • Workers Planned: 2
  • Workers Launched: 2
  • Functions: 1224
  • Options: Inlining true, Optimization true, Expressions true, Deforming true
  • Timing: Generation 106.545 ms, Inlining 129.991 ms, Optimization 3482.701 ms, Emission 2002.905 ms, Total 5722.143 ms
2. 54.955 12,327.474 ↑ 1.2 617,413 3 / 3

Parallel Append (cost=0.00..689,274.05 rows=770,968 width=93) (actual time=3,333.362..12,327.474 rows=617,413 loops=3)

3. 696.343 696.343 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2018_10 (cost=0.00..52,165.53 rows=1 width=93) (actual time=2,089.029..2,089.029 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
  • Rows Removed by Filter: 2428725
4. 1,936.596 1,936.596 ↓ 2.4 58,370 1 / 3

Parallel Seq Scan on item_2019_04 (cost=0.00..50,818.81 rows=23,848 width=93) (actual time=1,879.116..5,809.788 rows=58,370 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
  • Rows Removed by Filter: 2290080
5. 1,256.993 1,256.993 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2018_07 (cost=0.00..46,361.94 rows=1 width=93) (actual time=3,770.978..3,770.978 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
  • Rows Removed by Filter: 2160665
6. 108.898 108.898 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2018_11 (cost=0.00..45,916.41 rows=1 width=93) (actual time=326.694..326.694 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
  • Rows Removed by Filter: 2136225
7. 1,326.725 1,326.725 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2018_09 (cost=0.00..45,143.72 rows=1 width=93) (actual time=3,980.175..3,980.175 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
  • Rows Removed by Filter: 2102035
8. 1,104.929 1,104.929 ↓ 2.4 26,975 1 / 3

Parallel Seq Scan on item_2019_03 (cost=0.00..43,898.91 rows=11,072 width=93) (actual time=4.731..3,314.788 rows=26,975 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
  • Rows Removed by Filter: 2017795
9. 797.692 797.692 ↓ 2.4 398,645 1 / 3

Parallel Seq Scan on item_2019_02 (cost=0.00..42,435.66 rows=163,936 width=93) (actual time=2.623..2,393.076 rows=398,645 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
  • Rows Removed by Filter: 1575860
10. 1,538.144 1,538.144 ↑ 1.2 59,107 3 / 3

Parallel Seq Scan on item_2018_12 (cost=0.00..42,241.06 rows=72,606 width=93) (actual time=1.926..1,538.144 rows=59,107 loops=3)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
  • Rows Removed by Filter: 595617
11. 1,142.703 1,142.703 ↓ 2.3 68,705 1 / 3

Parallel Seq Scan on item_2019_07 (cost=0.00..42,110.55 rows=30,156 width=95) (actual time=4.218..3,428.109 rows=68,705 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
  • Rows Removed by Filter: 1879670
12. 312.748 312.748 ↑ 1.6 325 1 / 3

Parallel Seq Scan on item_2019_09 (cost=0.00..40,834.62 rows=523 width=92) (actual time=14.010..938.243 rows=325 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
  • Rows Removed by Filter: 1894815
13. 1,147.962 1,147.962 ↓ 2.5 5,135 1 / 3

Parallel Seq Scan on item_2019_06 (cost=0.00..40,252.09 rows=2,067 width=93) (actual time=3.448..3,443.885 rows=5,135 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
  • Rows Removed by Filter: 1865240
14. 50.383 50.383 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2018_08 (cost=0.00..38,625.36 rows=1 width=93) (actual time=151.148..151.148 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
  • Rows Removed by Filter: 1799590
15. 49.537 49.537 ↑ 1.2 195 1 / 3

Parallel Seq Scan on item_2019_10 (cost=0.00..35,149.01 rows=240 width=93) (actual time=0.113..148.610 rows=195 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
  • Rows Removed by Filter: 1643785
16. 63.611 63.611 ↓ 2.4 1,045,460 1 / 3

Parallel Seq Scan on item_2019_01 (cost=0.00..34,884.49 rows=436,656 width=93) (actual time=0.033..190.832 rows=1,045,460 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
  • Rows Removed by Filter: 576680
17. 48.437 48.437 ↓ 2.4 54,730 1 / 3

Parallel Seq Scan on item_2019_08 (cost=0.00..33,038.54 rows=22,902 width=94) (actual time=0.030..145.312 rows=54,730 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
  • Rows Removed by Filter: 1480375
18. 47.682 47.682 ↓ 2.4 16,380 1 / 3

Parallel Seq Scan on item_2019_05 (cost=0.00..33,026.09 rows=6,769 width=93) (actual time=0.030..143.046 rows=16,380 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
  • Rows Removed by Filter: 1514825
19. 13.542 13.542 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2019_11 (cost=0.00..10,087.27 rows=1 width=93) (actual time=40.626..40.626 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
  • Rows Removed by Filter: 470600
20. 1.862 1.862 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2018_05 (cost=0.00..1,945.55 rows=1 width=96) (actual time=5.587..5.587 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
  • Rows Removed by Filter: 81315
21. 1.752 1.752 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2018_04 (cost=0.00..1,916.80 rows=1 width=96) (actual time=5.257..5.257 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
  • Rows Removed by Filter: 80145
22. 1.056 1.056 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2018_06 (cost=0.00..1,132.53 rows=1 width=96) (actual time=3.168..3.169 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
  • Rows Removed by Filter: 47320
23. 0.511 0.511 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2018_01 (cost=0.00..559.90 rows=1 width=96) (actual time=1.534..1.534 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
  • Rows Removed by Filter: 23335
24. 0.251 0.251 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2018_02 (cost=0.00..266.30 rows=1 width=96) (actual time=0.754..0.754 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
  • Rows Removed by Filter: 11180
25. 0.210 0.210 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2018_03 (cost=0.00..233.87 rows=1 width=96) (actual time=0.630..0.630 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
  • Rows Removed by Filter: 9750
26. 0.129 0.129 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2017_12 (cost=0.00..137.27 rows=1 width=96) (actual time=0.387..0.387 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
  • Rows Removed by Filter: 5720
27. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2005_01 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
28. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2005_02 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
29. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2005_03 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
30. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2005_04 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
31. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2005_05 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
32. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2005_06 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
33. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2005_07 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
34. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2005_08 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
35. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2005_09 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
36. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2005_10 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
37. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2005_11 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
38. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2005_12 (cost=0.00..12.47 rows=1 width=261) (actual time=0.001..0.001 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
39. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2006_01 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
40. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2006_02 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
41. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2006_03 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
42. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2006_04 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
43. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2006_05 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
44. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2006_06 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
45. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2006_07 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
46. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2006_08 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
47. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2006_09 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
48. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2006_10 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
49. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2006_11 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
50. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2006_12 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
51. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2007_01 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
52. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2007_02 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
53. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2007_03 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
54. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2007_04 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
55. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2007_05 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
56. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2007_06 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
57. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2007_07 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
58. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2007_08 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
59. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2007_09 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
60. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2007_10 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.001 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
61. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2007_11 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
62. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2007_12 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
63. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2008_01 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
64. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2008_02 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
65. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2008_03 (cost=0.00..12.47 rows=1 width=261) (actual time=0.001..0.001 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
66. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2008_04 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
67. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2008_05 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
68. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2008_06 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
69. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2008_07 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
70. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2008_08 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
71. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2008_09 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
72. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2008_10 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
73. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2008_11 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
74. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2008_12 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
75. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2009_01 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
76. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2009_02 (cost=0.00..12.47 rows=1 width=261) (actual time=0.001..0.001 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
77. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2009_03 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
78. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2009_04 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
79. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2009_05 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
80. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2009_06 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
81. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2009_07 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
82. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2009_08 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
83. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2009_09 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
84. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2009_10 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
85. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2009_11 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
86. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2009_12 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
87. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2010_01 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
88. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2010_02 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
89. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2010_03 (cost=0.00..12.47 rows=1 width=261) (actual time=0.001..0.001 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
90. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2010_04 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
91. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2010_05 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
92. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2010_06 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
93. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2010_07 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
94. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2010_08 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
95. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2010_09 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
96. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2010_10 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
97. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2010_11 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
98. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2010_12 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
99. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2011_01 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
100. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2011_02 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
101. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2011_03 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
102. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2011_04 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
103. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2011_05 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
104. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2011_06 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
105. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2011_07 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
106. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2011_08 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
107. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2011_09 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
108. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2011_10 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
109. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2011_11 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
110. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2011_12 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
111. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2012_01 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
112. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2012_02 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
113. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2012_03 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
114. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2012_04 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
115. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2012_05 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
116. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2012_06 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
117. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2012_07 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
118. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2012_08 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
119. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2012_09 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
120. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2012_10 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
121. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2012_11 (cost=0.00..12.47 rows=1 width=261) (actual time=0.001..0.001 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
122. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2012_12 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
123. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2013_01 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
124. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2013_02 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
125. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2013_03 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
126. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2013_04 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
127. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2013_05 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
128. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2013_06 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.001 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
129. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2013_07 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
130. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2013_08 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
131. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2013_09 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
132. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2013_10 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
133. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2013_11 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
134. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2013_12 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
135. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2014_01 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
136. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2014_02 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
137. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2014_03 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
138. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2014_04 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
139. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2014_05 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
140. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2014_06 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
141. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2014_07 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
142. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2014_08 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
143. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2014_09 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
144. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2014_10 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
145. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2014_11 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
146. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2014_12 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
147. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2015_01 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
148. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2015_02 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
149. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2015_03 (cost=0.00..12.47 rows=1 width=261) (actual time=0.001..0.001 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
150. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2015_04 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
151. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2015_05 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
152. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2015_06 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
153. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2015_07 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
154. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2015_08 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
155. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2015_09 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
156. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2015_10 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
157. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2015_11 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
158. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2015_12 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
159. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2016_01 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
160. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2016_02 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
161. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2016_03 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
162. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2016_04 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
163. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2016_05 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
164. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2016_06 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
165. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2016_07 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
166. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2016_08 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
167. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2016_09 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
168. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2016_10 (cost=0.00..12.47 rows=1 width=261) (actual time=0.001..0.001 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
169. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2016_11 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
170. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2016_12 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
171. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2017_01 (cost=0.00..12.47 rows=1 width=261) (actual time=0.001..0.001 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
172. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2017_02 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
173. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2017_03 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
174. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2017_04 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
175. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2017_05 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
176. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2017_06 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
177. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2017_07 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
178. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2017_08 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
179. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2017_09 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
180. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2017_11 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
181. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2019_12 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
182. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2020_01 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
183. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2020_02 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
184. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2020_03 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
185. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2020_04 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
186. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2020_05 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
187. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2020_06 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
188. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2020_07 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
189. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2020_08 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
190. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2020_09 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
191. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2020_10 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
192. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2020_11 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
193. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2020_12 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
194. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2021_01 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
195. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2021_02 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
196. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2021_03 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
197. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2021_04 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
198. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2021_05 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
199. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2021_06 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
200. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2021_07 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
201. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2021_08 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
202. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2021_09 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
203. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2021_10 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.001 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
204. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2021_11 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
205. 0.000 0.000 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2021_12 (cost=0.00..12.47 rows=1 width=261) (actual time=0.000..0.000 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
206. 623.819 623.819 ↓ 0.0 0 1 / 3

Parallel Seq Scan on item_2017_10 (cost=0.00..4.69 rows=1 width=99) (actual time=1,871.458..1,871.458 rows=0 loops=1)

  • Filter: ((data_atendimento >= '2018-11-01'::date) AND (data_atendimento <= '2018-11-30'::date))
  • Rows Removed by Filter: 195
Execution time : 12,923.430 ms