explain.depesz.com

PostgreSQL's explain analyze made readable

Result: IWm9

Settings
# exclusive inclusive rows x rows loops node
1. 13,608.926 17,216.282 ↓ 1,493.7 416,748 1

Gather (cost=1,012.30..62,551.37 rows=279 width=929) (actual time=146.584..17,216.282 rows=416,748 loops=1)

  • Workers Planned: 2
  • Workers Launched: 1
2. 316.687 3,607.343 ↓ 1,796.3 208,374 2

Hash Join (cost=12.30..60,812.72 rows=116 width=865) (actual time=0.764..3,607.343 rows=208,374 loops=2)

  • Hash Cond: (accounts.idaccountstate = account_states.idaccountstate)
3. 1,701.951 3,290.621 ↓ 1,796.3 208,374 2

Nested Loop (cost=11.21..60,811.00 rows=116 width=833) (actual time=0.589..3,290.621 rows=208,374 loops=2)

4. 256.819 1,588.665 ↓ 1,796.3 208,374 2

Hash Join (cost=10.94..60,776.98 rows=116 width=792) (actual time=0.553..1,588.665 rows=208,374 loops=2)

  • Hash Cond: (datas_part_0000009257.ideventtype = eventtypes.ideventtype)
5. 303.305 1,331.716 ↓ 1,398.5 208,374 2

Hash Join (cost=2.43..60,768.06 rows=149 width=761) (actual time=0.405..1,331.716 rows=208,374 loops=2)

  • Hash Cond: (datas_part_0000009257.idstatustype = statustypes.idstatustype)
6. 346.596 1,028.388 ↓ 118.9 208,374 2

Hash Join (cost=1.04..60,761.98 rows=1,752 width=696) (actual time=0.360..1,028.388 rows=208,374 loops=2)

  • Hash Cond: (datas_part_0000009257.idreceptionmode = reception_modes.idreceptionmode)
7. 0.000 681.773 ↓ 1.2 208,374 2

Parallel Append (cost=0.00..60,291.28 rows=175,205 width=663) (actual time=0.009..681.773 rows=208,374 loops=2)

8. 0.795 0.795 ↓ 1.9 631 1

Parallel Seq Scan on datas_part_0000009257 (cost=0.00..191.25 rows=325 width=661) (actual time=0.010..0.795 rows=631 loops=1)

9. 1.559 1.559 ↓ 1.8 716 1

Parallel Seq Scan on datas_part_0000009285 (cost=0.00..141.03 rows=403 width=668) (actual time=0.019..1.559 rows=716 loops=1)

10. 0.921 0.921 ↓ 1.8 696 1

Parallel Seq Scan on datas_part_0000009068 (cost=0.00..135.96 rows=396 width=666) (actual time=0.011..0.921 rows=696 loops=1)

11. 1.161 1.161 ↓ 1.7 724 1

Parallel Seq Scan on datas_part_0000009140 (cost=0.00..135.19 rows=419 width=663) (actual time=0.019..1.161 rows=724 loops=1)

12. 0.875 0.875 ↓ 2.0 610 1

Parallel Seq Scan on datas_part_0000009437 (cost=0.00..135.11 rows=311 width=661) (actual time=0.020..0.875 rows=610 loops=1)

13. 1.079 1.079 ↓ 1.7 708 1

Parallel Seq Scan on datas_part_0000009269 (cost=0.00..134.26 rows=426 width=663) (actual time=0.012..1.079 rows=708 loops=1)

14. 1.031 1.031 ↓ 1.8 716 1

Parallel Seq Scan on datas_part_0000008898 (cost=0.00..134.08 rows=408 width=662) (actual time=0.013..1.031 rows=716 loops=1)

15. 0.762 0.762 ↓ 1.7 691 1

Parallel Seq Scan on datas_part_0000009283 (cost=0.00..134.06 rows=406 width=664) (actual time=0.013..0.762 rows=691 loops=1)

16. 1.017 1.017 ↓ 1.7 728 1

Parallel Seq Scan on datas_part_0000008908 (cost=0.00..130.24 rows=424 width=667) (actual time=0.011..1.017 rows=728 loops=1)

17. 6.134 6.134 ↓ 1.7 714 1

Parallel Seq Scan on datas_part_0000008897 (cost=0.00..129.19 rows=419 width=663) (actual time=0.015..6.134 rows=714 loops=1)

18. 1.091 1.091 ↓ 1.5 676 1

Parallel Seq Scan on datas_part_0000009067 (cost=0.00..125.65 rows=465 width=665) (actual time=0.017..1.091 rows=676 loops=1)

19. 0.821 0.821 ↓ 1.9 616 1

Parallel Seq Scan on datas_part_0000009483 (cost=0.00..125.17 rows=317 width=661) (actual time=0.010..0.821 rows=616 loops=1)

20. 0.954 0.954 ↓ 1.5 706 1

Parallel Seq Scan on datas_part_0000008850 (cost=0.00..124.78 rows=478 width=663) (actual time=0.020..0.954 rows=706 loops=1)

21. 1.572 1.572 ↓ 1.8 720 1

Parallel Seq Scan on datas_part_0000009139 (cost=0.00..124.08 rows=408 width=664) (actual time=0.009..1.572 rows=720 loops=1)

22. 0.994 0.994 ↓ 1.6 699 1

Parallel Seq Scan on datas_part_0000009031 (cost=0.00..120.24 rows=424 width=667) (actual time=0.012..0.994 rows=699 loops=1)

23. 2.264 2.264 ↓ 1.8 725 1

Parallel Seq Scan on datas_part_0000009299 (cost=0.00..120.14 rows=414 width=664) (actual time=0.007..2.264 rows=725 loops=1)

24. 0.934 0.934 ↓ 1.8 686 1

Parallel Seq Scan on datas_part_0000009288 (cost=0.00..118.92 rows=392 width=664) (actual time=0.007..0.934 rows=686 loops=1)

25. 0.883 0.883 ↓ 1.6 726 1

Parallel Seq Scan on datas_part_0000009296 (cost=0.00..118.68 rows=468 width=664) (actual time=0.006..0.883 rows=726 loops=1)

26. 0.781 0.781 ↓ 1.7 669 1

Parallel Seq Scan on datas_part_0000009141 (cost=0.00..117.94 rows=394 width=664) (actual time=0.015..0.781 rows=669 loops=1)

27. 0.938 0.938 ↓ 1.7 649 1

Parallel Seq Scan on datas_part_0000009036 (cost=0.00..116.82 rows=382 width=660) (actual time=0.012..0.938 rows=649 loops=1)

28. 0.871 0.871 ↓ 1.7 702 1

Parallel Seq Scan on datas_part_0000009291 (cost=0.00..116.13 rows=413 width=663) (actual time=0.015..0.871 rows=702 loops=1)

29. 0.817 0.817 ↓ 1.7 705 1

Parallel Seq Scan on datas_part_0000009289 (cost=0.00..116.10 rows=410 width=667) (actual time=0.017..0.817 rows=705 loops=1)

30. 0.794 0.794 ↓ 1.4 613 1

Parallel Seq Scan on datas_part_0000008839 (cost=0.00..115.49 rows=449 width=660) (actual time=0.013..0.794 rows=613 loops=1)

31. 0.844 0.844 ↓ 1.4 626 1

Parallel Seq Scan on datas_part_0000009246 (cost=0.00..115.44 rows=444 width=663) (actual time=0.014..0.844 rows=626 loops=1)

32. 0.876 0.876 ↓ 1.7 654 1

Parallel Seq Scan on datas_part_0000009026 (cost=0.00..113.85 rows=385 width=662) (actual time=0.010..0.876 rows=654 loops=1)

33. 0.908 0.908 ↓ 1.6 712 1

Parallel Seq Scan on datas_part_0000009362 (cost=0.00..113.34 rows=434 width=666) (actual time=0.015..0.908 rows=712 loops=1)

34. 0.830 0.830 ↓ 1.7 588 1

Parallel Seq Scan on datas_part_0000009327 (cost=0.00..112.48 rows=348 width=661) (actual time=0.012..0.830 rows=588 loops=1)

35. 0.820 0.820 ↓ 1.7 727 1

Parallel Seq Scan on datas_part_0000009144 (cost=0.00..112.22 rows=422 width=665) (actual time=0.006..0.820 rows=727 loops=1)

36. 0.926 0.926 ↓ 1.8 735 1

Parallel Seq Scan on datas_part_0000009311 (cost=0.00..112.18 rows=418 width=666) (actual time=0.012..0.926 rows=735 loops=1)

37. 0.935 0.935 ↓ 1.7 697 1

Parallel Seq Scan on datas_part_0000008964 (cost=0.00..112.01 rows=401 width=664) (actual time=0.014..0.935 rows=697 loops=1)

38. 0.878 0.878 ↓ 1.8 686 1

Parallel Seq Scan on datas_part_0000009083 (cost=0.00..110.84 rows=384 width=665) (actual time=0.022..0.878 rows=686 loops=1)

39. 0.928 0.928 ↓ 1.7 632 1

Parallel Seq Scan on datas_part_0000009284 (cost=0.00..110.72 rows=372 width=662) (actual time=0.014..0.928 rows=632 loops=1)

40. 0.894 0.894 ↓ 1.7 702 1

Parallel Seq Scan on datas_part_0000009135 (cost=0.00..110.18 rows=418 width=664) (actual time=0.007..0.894 rows=702 loops=1)

41. 0.896 0.896 ↓ 1.7 695 1

Parallel Seq Scan on datas_part_0000008962 (cost=0.00..110.09 rows=409 width=663) (actual time=0.015..0.896 rows=695 loops=1)

42. 1.113 1.113 ↓ 1.7 665 1

Parallel Seq Scan on datas_part_0000009403 (cost=0.00..109.91 rows=391 width=664) (actual time=0.013..1.113 rows=665 loops=1)

43. 0.976 0.976 ↓ 1.7 656 1

Parallel Seq Scan on datas_part_0000009027 (cost=0.00..109.86 rows=386 width=664) (actual time=0.006..0.976 rows=656 loops=1)

44. 0.872 0.872 ↓ 1.7 654 1

Parallel Seq Scan on datas_part_0000009023 (cost=0.00..109.85 rows=385 width=664) (actual time=0.014..0.872 rows=654 loops=1)

45. 0.858 0.858 ↓ 1.7 637 1

Parallel Seq Scan on datas_part_0000008921 (cost=0.00..109.75 rows=375 width=663) (actual time=0.026..0.858 rows=637 loops=1)

46. 0.818 0.818 ↓ 1.7 638 1

Parallel Seq Scan on datas_part_0000009021 (cost=0.00..109.69 rows=369 width=661) (actual time=0.012..0.818 rows=638 loops=1)

47. 0.789 0.789 ↓ 1.4 610 1

Parallel Seq Scan on datas_part_0000008892 (cost=0.00..109.22 rows=422 width=662) (actual time=0.021..0.789 rows=610 loops=1)

48. 0.926 0.926 ↓ 1.7 692 1

Parallel Seq Scan on datas_part_0000008881 (cost=0.00..109.07 rows=407 width=664) (actual time=0.016..0.926 rows=692 loops=1)

49. 0.871 0.871 ↓ 1.7 690 1

Parallel Seq Scan on datas_part_0000009411 (cost=0.00..109.06 rows=406 width=665) (actual time=0.011..0.871 rows=690 loops=1)

50. 0.874 0.874 ↓ 1.4 694 1

Parallel Seq Scan on datas_part_0000009170 (cost=0.00..109.00 rows=500 width=661) (actual time=0.012..0.874 rows=694 loops=1)

51. 0.629 0.629 ↓ 1.7 642 1

Parallel Seq Scan on datas_part_0000008976 (cost=0.00..108.78 rows=378 width=662) (actual time=0.016..0.629 rows=642 loops=1)

52. 0.904 0.904 ↓ 1.7 682 1

Parallel Seq Scan on datas_part_0000008900 (cost=0.00..108.10 rows=410 width=661) (actual time=0.010..0.904 rows=682 loops=1)

53. 0.863 0.863 ↓ 1.7 695 1

Parallel Seq Scan on datas_part_0000008867 (cost=0.00..108.09 rows=409 width=665) (actual time=0.011..0.863 rows=695 loops=1)

54. 1.173 1.173 ↓ 1.7 689 1

Parallel Seq Scan on datas_part_0000009209 (cost=0.00..108.05 rows=405 width=666) (actual time=0.013..1.173 rows=689 loops=1)

55. 0.910 0.910 ↓ 1.7 702 1

Parallel Seq Scan on datas_part_0000009517 (cost=0.00..108.04 rows=404 width=664) (actual time=0.010..0.910 rows=702 loops=1)

56. 0.829 0.829 ↓ 1.7 693 1

Parallel Seq Scan on datas_part_0000008967 (cost=0.00..107.99 rows=399 width=662) (actual time=0.006..0.829 rows=693 loops=1)

57. 0.849 0.849 ↓ 1.7 735 1

Parallel Seq Scan on datas_part_0000009146 (cost=0.00..107.41 rows=441 width=663) (actual time=0.006..0.849 rows=735 loops=1)

58. 1.000 1.000 ↓ 1.6 715 1

Parallel Seq Scan on datas_part_0000009134 (cost=0.00..107.41 rows=441 width=664) (actual time=0.007..1.000 rows=715 loops=1)

59. 0.913 0.913 ↓ 1.7 700 1

Parallel Seq Scan on datas_part_0000008875 (cost=0.00..107.05 rows=405 width=662) (actual time=0.016..0.913 rows=700 loops=1)

60. 0.863 0.863 ↓ 1.7 687 1

Parallel Seq Scan on datas_part_0000009229 (cost=0.00..106.94 rows=394 width=662) (actual time=0.006..0.863 rows=687 loops=1)

61. 0.807 0.807 ↓ 1.8 697 1

Parallel Seq Scan on datas_part_0000009082 (cost=0.00..106.92 rows=392 width=662) (actual time=0.008..0.807 rows=697 loops=1)

62. 0.845 0.845 ↓ 1.7 655 1

Parallel Seq Scan on datas_part_0000009378 (cost=0.00..106.85 rows=385 width=664) (actual time=0.018..0.845 rows=655 loops=1)

63. 0.773 0.773 ↓ 1.7 648 1

Parallel Seq Scan on datas_part_0000009028 (cost=0.00..106.81 rows=381 width=665) (actual time=0.007..0.773 rows=648 loops=1)

64. 0.892 0.892 ↓ 1.6 695 1

Parallel Seq Scan on datas_part_0000008904 (cost=0.00..106.36 rows=436 width=667) (actual time=0.013..0.892 rows=695 loops=1)

65. 0.870 0.870 ↓ 1.7 711 1

Parallel Seq Scan on datas_part_0000009156 (cost=0.00..106.18 rows=418 width=666) (actual time=0.017..0.870 rows=711 loops=1)

66. 0.824 0.824 ↓ 1.7 708 1

Parallel Seq Scan on datas_part_0000008856 (cost=0.00..106.16 rows=416 width=662) (actual time=0.007..0.824 rows=708 loops=1)

67. 0.805 0.805 ↓ 1.7 709 1

Parallel Seq Scan on datas_part_0000008849 (cost=0.00..106.08 rows=408 width=663) (actual time=0.026..0.805 rows=709 loops=1)

68. 0.942 0.942 ↓ 1.7 688 1

Parallel Seq Scan on datas_part_0000009366 (cost=0.00..106.05 rows=405 width=664) (actual time=0.014..0.942 rows=688 loops=1)

69. 0.798 0.798 ↓ 1.7 687 1

Parallel Seq Scan on datas_part_0000009448 (cost=0.00..106.02 rows=402 width=663) (actual time=0.012..0.798 rows=687 loops=1)

70. 0.753 0.753 ↓ 1.7 696 1

Parallel Seq Scan on datas_part_0000009399 (cost=0.00..106.00 rows=400 width=663) (actual time=0.013..0.753 rows=696 loops=1)

71. 1.006 1.006 ↓ 1.7 693 1

Parallel Seq Scan on datas_part_0000008988 (cost=0.00..105.98 rows=398 width=663) (actual time=0.017..1.006 rows=693 loops=1)

72. 0.626 0.626 ↓ 1.7 658 1

Parallel Seq Scan on datas_part_0000009495 (cost=0.00..105.87 rows=387 width=666) (actual time=0.017..0.626 rows=658 loops=1)

73. 0.857 0.857 ↓ 1.7 654 1

Parallel Seq Scan on datas_part_0000009046 (cost=0.00..105.85 rows=385 width=662) (actual time=0.010..0.857 rows=654 loops=1)

74. 0.743 0.743 ↓ 1.9 729 1

Parallel Seq Scan on datas_part_0000009166 (cost=0.00..105.81 rows=381 width=662) (actual time=0.011..0.743 rows=729 loops=1)

75. 0.671 0.671 ↓ 1.7 647 1

Parallel Seq Scan on datas_part_0000009280 (cost=0.00..105.81 rows=381 width=661) (actual time=0.010..0.671 rows=647 loops=1)

76. 0.825 0.825 ↓ 1.7 612 1

Parallel Seq Scan on datas_part_0000009248 (cost=0.00..105.54 rows=354 width=663) (actual time=0.014..0.825 rows=612 loops=1)

77. 0.721 0.721 ↓ 1.8 629 1

Parallel Seq Scan on datas_part_0000009286 (cost=0.00..105.50 rows=350 width=667) (actual time=0.011..0.721 rows=629 loops=1)

78. 0.620 0.620 ↓ 2.0 609 1

Parallel Seq Scan on datas_part_0000009348 (cost=0.00..105.09 rows=309 width=662) (actual time=0.012..0.620 rows=609 loops=1)

79. 0.812 0.812 ↓ 1.7 693 1

Parallel Seq Scan on datas_part_0000009423 (cost=0.00..105.00 rows=400 width=665) (actual time=0.022..0.812 rows=693 loops=1)

80. 0.685 0.685 ↓ 2.0 584 1

Parallel Seq Scan on datas_part_0000009095 (cost=0.00..104.99 rows=299 width=662) (actual time=0.012..0.685 rows=584 loops=1)

81. 0.847 0.847 ↓ 1.7 670 1

Parallel Seq Scan on datas_part_0000008876 (cost=0.00..104.94 rows=394 width=663) (actual time=0.011..0.847 rows=670 loops=1)

82. 1.017 1.017 ↓ 1.7 658 1

Parallel Seq Scan on datas_part_0000008870 (cost=0.00..104.87 rows=387 width=661) (actual time=0.011..1.017 rows=658 loops=1)

83. 0.844 0.844 ↓ 1.7 647 1

Parallel Seq Scan on datas_part_0000009212 (cost=0.00..104.81 rows=381 width=665) (actual time=0.007..0.844 rows=647 loops=1)

84. 0.879 0.879 ↓ 1.4 651 1

Parallel Seq Scan on datas_part_0000009472 (cost=0.00..104.52 rows=452 width=663) (actual time=0.012..0.879 rows=651 loops=1)

85. 0.788 0.788 ↓ 1.7 710 1

Parallel Seq Scan on datas_part_0000008851 (cost=0.00..104.12 rows=412 width=663) (actual time=0.014..0.788 rows=710 loops=1)

86. 0.689 0.689 ↓ 1.6 677 1

Parallel Seq Scan on datas_part_0000009275 (cost=0.00..104.12 rows=412 width=665) (actual time=0.012..0.689 rows=677 loops=1)

87. 1.070 1.070 ↓ 1.6 665 1

Parallel Seq Scan on datas_part_0000008938 (cost=0.00..104.08 rows=408 width=666) (actual time=0.014..1.070 rows=665 loops=1)

88. 0.779 0.779 ↓ 1.7 691 1

Parallel Seq Scan on datas_part_0000008991 (cost=0.00..104.06 rows=406 width=663) (actual time=0.010..0.779 rows=691 loops=1)

89. 0.690 0.690 ↓ 1.7 695 1

Parallel Seq Scan on datas_part_0000008874 (cost=0.00..103.99 rows=399 width=664) (actual time=0.006..0.690 rows=695 loops=1)

90. 9.566 9.566 ↓ 1.7 669 1

Parallel Seq Scan on datas_part_0000009265 (cost=0.00..103.98 rows=398 width=662) (actual time=0.010..9.566 rows=669 loops=1)

91. 0.844 0.844 ↓ 1.7 673 1

Parallel Seq Scan on datas_part_0000008869 (cost=0.00..103.96 rows=396 width=664) (actual time=0.013..0.844 rows=673 loops=1)

92. 0.967 0.967 ↓ 1.7 672 1

Parallel Seq Scan on datas_part_0000008872 (cost=0.00..103.95 rows=395 width=662) (actual time=0.011..0.967 rows=672 loops=1)

93. 0.770 0.770 ↓ 1.7 670 1

Parallel Seq Scan on datas_part_0000008861 (cost=0.00..103.94 rows=394 width=663) (actual time=0.012..0.770 rows=670 loops=1)

94. 0.625 0.625 ↓ 1.7 666 1

Parallel Seq Scan on datas_part_0000008860 (cost=0.00..103.92 rows=392 width=662) (actual time=0.010..0.625 rows=666 loops=1)

95. 0.788 0.788 ↓ 1.7 679 1

Parallel Seq Scan on datas_part_0000008984 (cost=0.00..103.91 rows=391 width=663) (actual time=0.015..0.788 rows=679 loops=1)

96. 0.776 0.776 ↓ 1.7 659 1

Parallel Seq Scan on datas_part_0000009292 (cost=0.00..103.88 rows=388 width=664) (actual time=0.007..0.776 rows=659 loops=1)

97. 0.825 0.825 ↓ 1.7 655 1

Parallel Seq Scan on datas_part_0000008863 (cost=0.00..103.85 rows=385 width=661) (actual time=0.012..0.825 rows=655 loops=1)

98. 0.685 0.685 ↓ 1.7 649 1

Parallel Seq Scan on datas_part_0000009369 (cost=0.00..103.82 rows=382 width=665) (actual time=0.007..0.685 rows=649 loops=1)

99. 0.967 0.967 ↓ 1.7 647 1

Parallel Seq Scan on datas_part_0000009466 (cost=0.00..103.81 rows=381 width=662) (actual time=0.010..0.967 rows=647 loops=1)

100. 0.659 0.659 ↓ 1.7 635 1

Parallel Seq Scan on datas_part_0000009282 (cost=0.00..103.72 rows=372 width=663) (actual time=0.007..0.659 rows=635 loops=1)

101. 0.739 0.739 ↓ 1.7 634 1

Parallel Seq Scan on datas_part_0000009317 (cost=0.00..103.71 rows=371 width=661) (actual time=0.015..0.739 rows=634 loops=1)

102. 0.763 0.763 ↓ 1.5 656 1

Parallel Seq Scan on datas_part_0000008941 (cost=0.00..103.28 rows=428 width=665) (actual time=0.011..0.763 rows=656 loops=1)

103. 0.762 0.762 ↓ 1.7 717 1

Parallel Seq Scan on datas_part_0000009441 (cost=0.00..103.15 rows=415 width=665) (actual time=0.010..0.762 rows=717 loops=1)

104. 0.760 0.760 ↓ 1.8 730 1

Parallel Seq Scan on datas_part_0000009463 (cost=0.00..103.14 rows=414 width=666) (actual time=0.005..0.760 rows=730 loops=1)

105. 0.964 0.964 ↓ 1.7 720 1

Parallel Seq Scan on datas_part_0000009321 (cost=0.00..103.13 rows=413 width=664) (actual time=0.006..0.964 rows=720 loops=1)

106. 0.911 0.911 ↓ 1.7 690 1

Parallel Seq Scan on datas_part_0000008866 (cost=0.00..103.06 rows=406 width=663) (actual time=0.006..0.911 rows=690 loops=1)

107. 0.747 0.747 ↓ 1.7 695 1

Parallel Seq Scan on datas_part_0000008960 (cost=0.00..102.99 rows=399 width=663) (actual time=0.006..0.747 rows=695 loops=1)

108. 0.682 0.682 ↓ 1.7 679 1

Parallel Seq Scan on datas_part_0000009526 (cost=0.00..102.95 rows=395 width=662) (actual time=0.010..0.682 rows=679 loops=1)

109. 0.875 0.875 ↓ 1.7 681 1

Parallel Seq Scan on datas_part_0000008971 (cost=0.00..102.92 rows=392 width=662) (actual time=0.007..0.875 rows=681 loops=1)

110. 0.918 0.918 ↓ 1.7 657 1

Parallel Seq Scan on datas_part_0000008914 (cost=0.00..102.86 rows=386 width=663) (actual time=0.011..0.918 rows=657 loops=1)

111. 42.744 42.744 ↓ 1.7 658 1

Parallel Seq Scan on datas_part_0000009316 (cost=0.00..102.86 rows=386 width=663) (actual time=0.012..42.744 rows=658 loops=1)

112. 1.002 1.002 ↓ 1.8 677 1

Parallel Seq Scan on datas_part_0000009320 (cost=0.00..102.85 rows=385 width=668) (actual time=0.018..1.002 rows=677 loops=1)

113. 17.639 17.639 ↓ 1.7 653 1

Parallel Seq Scan on datas_part_0000009185 (cost=0.00..102.84 rows=384 width=665) (actual time=0.017..17.639 rows=653 loops=1)

114. 0.763 0.763 ↓ 1.7 650 1

Parallel Seq Scan on datas_part_0000009006 (cost=0.00..102.82 rows=382 width=664) (actual time=0.015..0.763 rows=650 loops=1)

115. 2.118 2.118 ↓ 1.7 650 1

Parallel Seq Scan on datas_part_0000009469 (cost=0.00..102.82 rows=382 width=662) (actual time=0.013..2.118 rows=650 loops=1)

116. 0.774 0.774 ↓ 1.7 638 1

Parallel Seq Scan on datas_part_0000009438 (cost=0.00..102.75 rows=375 width=662) (actual time=0.016..0.774 rows=638 loops=1)

117. 0.749 0.749 ↓ 1.7 620 1

Parallel Seq Scan on datas_part_0000009030 (cost=0.00..102.63 rows=363 width=661) (actual time=0.017..0.749 rows=620 loops=1)

118. 0.901 0.901 ↓ 1.8 639 1

Parallel Seq Scan on datas_part_0000009243 (cost=0.00..102.60 rows=360 width=664) (actual time=0.021..0.901 rows=639 loops=1)

119. 0.881 0.881 ↓ 1.7 732 1

Parallel Seq Scan on datas_part_0000009148 (cost=0.00..102.21 rows=421 width=662) (actual time=0.006..0.881 rows=732 loops=1)

120. 0.979 0.979 ↓ 1.4 580 1

Parallel Seq Scan on datas_part_0000009123 (cost=0.00..102.11 rows=411 width=661) (actual time=0.014..0.979 rows=580 loops=1)

121. 0.851 0.851 ↓ 1.7 705 1

Parallel Seq Scan on datas_part_0000009149 (cost=0.00..102.08 rows=408 width=664) (actual time=0.013..0.851 rows=705 loops=1)

122. 0.770 0.770 ↓ 1.7 694 1

Parallel Seq Scan on datas_part_0000009155 (cost=0.00..102.05 rows=405 width=666) (actual time=0.014..0.770 rows=694 loops=1)

123. 0.840 0.840 ↓ 1.8 689 1

Parallel Seq Scan on datas_part_0000008846 (cost=0.00..101.88 rows=388 width=662) (actual time=0.007..0.840 rows=689 loops=1)

124. 0.834 0.834 ↓ 1.7 657 1

Parallel Seq Scan on datas_part_0000009057 (cost=0.00..101.86 rows=386 width=664) (actual time=0.012..0.834 rows=657 loops=1)

125. 0.792 0.792 ↓ 1.7 658 1

Parallel Seq Scan on datas_part_0000009167 (cost=0.00..101.86 rows=386 width=662) (actual time=0.006..0.792 rows=658 loops=1)

126. 0.706 0.706 ↓ 1.6 623 1

Parallel Seq Scan on datas_part_0000008877 (cost=0.00..101.78 rows=378 width=662) (actual time=0.014..0.706 rows=623 loops=1)

127. 0.743 0.743 ↓ 1.7 614 1

Parallel Seq Scan on datas_part_0000009175 (cost=0.00..101.56 rows=356 width=660) (actual time=0.015..0.743 rows=614 loops=1)

128. 0.692 0.692 ↓ 1.7 605 1

Parallel Seq Scan on datas_part_0000009035 (cost=0.00..101.56 rows=356 width=663) (actual time=0.011..0.692 rows=605 loops=1)

129. 1.687 1.687 ↓ 1.7 690 1

Parallel Seq Scan on datas_part_0000008848 (cost=0.00..101.01 rows=401 width=664) (actual time=0.006..1.687 rows=690 loops=1)

130. 0.873 0.873 ↓ 1.6 643 1

Parallel Seq Scan on datas_part_0000008947 (cost=0.00..100.95 rows=395 width=662) (actual time=0.016..0.873 rows=643 loops=1)

131. 0.823 0.823 ↓ 1.7 665 1

Parallel Seq Scan on datas_part_0000009132 (cost=0.00..100.94 rows=394 width=660) (actual time=0.007..0.823 rows=665 loops=1)

132. 0.713 0.713 ↓ 1.7 670 1

Parallel Seq Scan on datas_part_0000009245 (cost=0.00..100.94 rows=394 width=664) (actual time=0.015..0.713 rows=670 loops=1)

133. 0.735 0.735 ↓ 1.7 675 1

Parallel Seq Scan on datas_part_0000009421 (cost=0.00..100.94 rows=394 width=666) (actual time=0.016..0.735 rows=675 loops=1)

134. 0.830 0.830 ↓ 1.7 669 1

Parallel Seq Scan on datas_part_0000008879 (cost=0.00..100.94 rows=394 width=664) (actual time=0.016..0.830 rows=669 loops=1)

135. 0.707 0.707 ↓ 1.7 667 1

Parallel Seq Scan on datas_part_0000008847 (cost=0.00..100.92 rows=392 width=664) (actual time=0.015..0.707 rows=667 loops=1)

136. 0.792 0.792 ↓ 1.7 659 1

Parallel Seq Scan on datas_part_0000009034 (cost=0.00..100.88 rows=388 width=665) (actual time=0.015..0.792 rows=659 loops=1)

137. 0.829 0.829 ↓ 1.7 659 1

Parallel Seq Scan on datas_part_0000009261 (cost=0.00..100.88 rows=388 width=662) (actual time=0.012..0.829 rows=659 loops=1)

138. 5.345 5.345 ↓ 1.7 675 1

Parallel Seq Scan on datas_part_0000009405 (cost=0.00..100.88 rows=388 width=663) (actual time=0.007..5.345 rows=675 loops=1)

139. 0.842 0.842 ↓ 1.7 646 1

Parallel Seq Scan on datas_part_0000009075 (cost=0.00..100.79 rows=379 width=665) (actual time=0.011..0.842 rows=646 loops=1)

140. 0.790 0.790 ↓ 1.7 635 1

Parallel Seq Scan on datas_part_0000009318 (cost=0.00..100.78 rows=378 width=663) (actual time=0.020..0.790 rows=635 loops=1)

141. 0.840 0.840 ↓ 1.7 639 1

Parallel Seq Scan on datas_part_0000009262 (cost=0.00..100.76 rows=376 width=660) (actual time=0.013..0.840 rows=639 loops=1)

142. 0.801 0.801 ↓ 1.7 726 1

Parallel Seq Scan on datas_part_0000009158 (cost=0.00..100.19 rows=419 width=665) (actual time=0.006..0.801 rows=726 loops=1)

143. 0.760 0.760 ↓ 1.7 696 1

Parallel Seq Scan on datas_part_0000009000 (cost=0.00..100.05 rows=405 width=663) (actual time=0.011..0.760 rows=696 loops=1)

144. 0.764 0.764 ↓ 1.7 686 1

Parallel Seq Scan on datas_part_0000008906 (cost=0.00..100.04 rows=404 width=666) (actual time=0.012..0.764 rows=686 loops=1)

145. 1.201 1.201 ↓ 1.7 694 1

Parallel Seq Scan on datas_part_0000009164 (cost=0.00..100.01 rows=401 width=664) (actual time=0.017..1.201 rows=694 loops=1)

146. 0.861 0.861 ↓ 1.7 696 1

Parallel Seq Scan on datas_part_0000009081 (cost=0.00..100.01 rows=401 width=663) (actual time=0.016..0.861 rows=696 loops=1)

147. 0.798 0.798 ↓ 1.7 688 1

Parallel Seq Scan on datas_part_0000009313 (cost=0.00..99.98 rows=398 width=663) (actual time=0.021..0.798 rows=688 loops=1)

148. 0.746 0.746 ↓ 1.7 673 1

Parallel Seq Scan on datas_part_0000008880 (cost=0.00..99.96 rows=396 width=664) (actual time=0.021..0.746 rows=673 loops=1)

149. 0.777 0.777 ↓ 1.7 672 1

Parallel Seq Scan on datas_part_0000008871 (cost=0.00..99.95 rows=395 width=664) (actual time=0.019..0.777 rows=672 loops=1)

150. 0.797 0.797 ↓ 1.7 667 1

Parallel Seq Scan on datas_part_0000009522 (cost=0.00..99.92 rows=392 width=664) (actual time=0.007..0.797 rows=667 loops=1)

151. 0.794 0.794 ↓ 1.7 666 1

Parallel Seq Scan on datas_part_0000009279 (cost=0.00..99.92 rows=392 width=664) (actual time=0.007..0.794 rows=666 loops=1)

152. 0.989 0.989 ↓ 1.7 656 1

Parallel Seq Scan on datas_part_0000009295 (cost=0.00..99.86 rows=386 width=663) (actual time=0.012..0.989 rows=656 loops=1)

153. 0.810 0.810 ↓ 1.7 649 1

Parallel Seq Scan on datas_part_0000009168 (cost=0.00..99.82 rows=382 width=660) (actual time=0.006..0.810 rows=649 loops=1)

154. 0.748 0.748 ↓ 1.7 648 1

Parallel Seq Scan on datas_part_0000008917 (cost=0.00..99.81 rows=381 width=661) (actual time=0.007..0.748 rows=648 loops=1)

155. 0.974 0.974 ↓ 1.7 646 1

Parallel Seq Scan on datas_part_0000008913 (cost=0.00..99.80 rows=380 width=664) (actual time=0.006..0.974 rows=646 loops=1)

156. 21.246 21.246 ↓ 1.7 619 1

Parallel Seq Scan on datas_part_0000009098 (cost=0.00..99.74 rows=374 width=662) (actual time=0.023..21.246 rows=619 loops=1)

157. 0.928 0.928 ↓ 1.7 612 1

Parallel Seq Scan on datas_part_0000009004 (cost=0.00..99.61 rows=361 width=661) (actual time=0.020..0.928 rows=612 loops=1)

158. 0.845 0.845 ↓ 1.7 617 1

Parallel Seq Scan on datas_part_0000009351 (cost=0.00..99.59 rows=359 width=661) (actual time=0.010..0.845 rows=617 loops=1)

159. 0.649 0.649 ↓ 1.7 601 1

Parallel Seq Scan on datas_part_0000009011 (cost=0.00..99.48 rows=348 width=660) (actual time=0.015..0.649 rows=601 loops=1)

160. 0.696 0.696 ↓ 1.8 721 1

Parallel Seq Scan on datas_part_0000009491 (cost=0.00..99.10 rows=410 width=665) (actual time=0.009..0.696 rows=721 loops=1)

161. 0.891 0.891 ↓ 1.7 705 1

Parallel Seq Scan on datas_part_0000008925 (cost=0.00..99.08 rows=408 width=666) (actual time=0.017..0.891 rows=705 loops=1)

162. 0.915 0.915 ↓ 1.7 681 1

Parallel Seq Scan on datas_part_0000009373 (cost=0.00..98.93 rows=393 width=665) (actual time=0.017..0.915 rows=681 loops=1)

163. 1.016 1.016 ↓ 1.7 680 1

Parallel Seq Scan on datas_part_0000009358 (cost=0.00..98.92 rows=392 width=660) (actual time=0.007..1.016 rows=680 loops=1)

164. 0.818 0.818 ↓ 1.7 663 1

Parallel Seq Scan on datas_part_0000009287 (cost=0.00..98.90 rows=390 width=663) (actual time=0.013..0.818 rows=663 loops=1)

165. 0.747 0.747 ↓ 1.7 659 1

Parallel Seq Scan on datas_part_0000009003 (cost=0.00..98.88 rows=388 width=664) (actual time=0.016..0.747 rows=659 loops=1)

166. 0.927 0.927 ↓ 1.7 656 1

Parallel Seq Scan on datas_part_0000009056 (cost=0.00..98.86 rows=386 width=662) (actual time=0.006..0.927 rows=656 loops=1)

167. 0.865 0.865 ↓ 1.7 656 1

Parallel Seq Scan on datas_part_0000009302 (cost=0.00..98.86 rows=386 width=663) (actual time=0.018..0.865 rows=656 loops=1)

168. 0.903 0.903 ↓ 1.7 651 1

Parallel Seq Scan on datas_part_0000008972 (cost=0.00..98.83 rows=383 width=662) (actual time=0.007..0.903 rows=651 loops=1)

169. 0.638 0.638 ↓ 1.8 686 1

Parallel Seq Scan on datas_part_0000009163 (cost=0.00..98.83 rows=383 width=664) (actual time=0.015..0.638 rows=686 loops=1)

170. 0.919 0.919 ↓ 1.7 650 1

Parallel Seq Scan on datas_part_0000009215 (cost=0.00..98.82 rows=382 width=664) (actual time=0.014..0.919 rows=650 loops=1)

171. 0.834 0.834 ↓ 1.7 648 1

Parallel Seq Scan on datas_part_0000009049 (cost=0.00..98.81 rows=381 width=660) (actual time=0.011..0.834 rows=648 loops=1)

172. 0.800 0.800 ↓ 1.7 637 1

Parallel Seq Scan on datas_part_0000009073 (cost=0.00..98.75 rows=375 width=665) (actual time=0.023..0.800 rows=637 loops=1)

173. 0.781 0.781 ↓ 1.7 634 1

Parallel Seq Scan on datas_part_0000009085 (cost=0.00..98.73 rows=373 width=663) (actual time=0.017..0.781 rows=634 loops=1)

174. 0.627 0.627 ↓ 1.7 633 1

Parallel Seq Scan on datas_part_0000009069 (cost=0.00..98.72 rows=372 width=663) (actual time=0.011..0.627 rows=633 loops=1)

175. 0.627 0.627 ↓ 1.7 623 1

Parallel Seq Scan on datas_part_0000009481 (cost=0.00..98.64 rows=364 width=663) (actual time=0.021..0.627 rows=623 loops=1)

176. 0.580 0.580 ↓ 1.8 633 1

Parallel Seq Scan on datas_part_0000008970 (cost=0.00..98.55 rows=355 width=662) (actual time=0.011..0.580 rows=633 loops=1)

177. 0.850 0.850 ↓ 1.7 606 1

Parallel Seq Scan on datas_part_0000009475 (cost=0.00..98.55 rows=355 width=664) (actual time=0.021..0.850 rows=606 loops=1)

178. 0.794 0.794 ↓ 1.7 585 1

Parallel Seq Scan on datas_part_0000009101 (cost=0.00..98.37 rows=337 width=666) (actual time=0.014..0.794 rows=585 loops=1)

179. 0.856 0.856 ↓ 1.7 724 1

Parallel Seq Scan on datas_part_0000009278 (cost=0.00..98.34 rows=434 width=664) (actual time=0.008..0.856 rows=724 loops=1)

180. 0.741 0.741 ↓ 1.8 735 1

Parallel Seq Scan on datas_part_0000009301 (cost=0.00..98.19 rows=419 width=666) (actual time=0.007..0.741 rows=735 loops=1)

181. 0.844 0.844 ↓ 1.7 688 1

Parallel Seq Scan on datas_part_0000009363 (cost=0.00..98.11 rows=411 width=665) (actual time=0.011..0.844 rows=688 loops=1)

182. 1.106 1.106 ↓ 1.7 692 1

Parallel Seq Scan on datas_part_0000009352 (cost=0.00..98.09 rows=409 width=664) (actual time=0.006..1.106 rows=692 loops=1)

183. 0.992 0.992 ↓ 1.7 695 1

Parallel Seq Scan on datas_part_0000009385 (cost=0.00..98.02 rows=402 width=665) (actual time=0.022..0.992 rows=695 loops=1)

184. 0.681 0.681 ↓ 1.7 687 1

Parallel Seq Scan on datas_part_0000008882 (cost=0.00..97.95 rows=395 width=662) (actual time=0.006..0.681 rows=687 loops=1)

185. 0.863 0.863 ↓ 1.7 666 1

Parallel Seq Scan on datas_part_0000009507 (cost=0.00..97.92 rows=392 width=664) (actual time=0.017..0.863 rows=666 loops=1)

186. 0.779 0.779 ↓ 1.7 663 1

Parallel Seq Scan on datas_part_0000009037 (cost=0.00..97.90 rows=390 width=664) (actual time=0.007..0.779 rows=663 loops=1)

187. 0.699 0.699 ↓ 1.7 656 1

Parallel Seq Scan on datas_part_0000009029 (cost=0.00..97.86 rows=386 width=664) (actual time=0.007..0.699 rows=656 loops=1)

188. 0.711 0.711 ↓ 1.7 655 1

Parallel Seq Scan on datas_part_0000008858 (cost=0.00..97.85 rows=385 width=662) (actual time=0.013..0.711 rows=655 loops=1)

189. 0.709 0.709 ↓ 1.7 655 1

Parallel Seq Scan on datas_part_0000009536 (cost=0.00..97.85 rows=385 width=661) (actual time=0.006..0.709 rows=655 loops=1)

190. 0.869 0.869 ↓ 1.7 651 1

Parallel Seq Scan on datas_part_0000008836 (cost=0.00..97.83 rows=383 width=661) (actual time=0.011..0.869 rows=651 loops=1)

191. 0.822 0.822 ↓ 1.7 651 1

Parallel Seq Scan on datas_part_0000009429 (cost=0.00..97.83 rows=383 width=663) (actual time=0.010..0.822 rows=651 loops=1)

192. 0.947 0.947 ↓ 1.7 647 1

Parallel Seq Scan on datas_part_0000009303 (cost=0.00..97.81 rows=381 width=665) (actual time=0.014..0.947 rows=647 loops=1)

193. 19.235 19.235 ↓ 1.7 643 1

Parallel Seq Scan on datas_part_0000009136 (cost=0.00..97.78 rows=378 width=662) (actual time=0.017..19.235 rows=643 loops=1)

194. 0.546 0.546 ↓ 1.7 619 1

Parallel Seq Scan on datas_part_0000009054 (cost=0.00..97.66 rows=366 width=661) (actual time=0.006..0.546 rows=619 loops=1)

195. 0.594 0.594 ↓ 1.7 622 1

Parallel Seq Scan on datas_part_0000009071 (cost=0.00..97.66 rows=366 width=662) (actual time=0.012..0.594 rows=622 loops=1)

196. 1.139 1.139 ↓ 1.7 609 1

Parallel Seq Scan on datas_part_0000009306 (cost=0.00..97.64 rows=364 width=662) (actual time=0.012..1.139 rows=609 loops=1)

197. 0.694 0.694 ↓ 1.7 619 1

Parallel Seq Scan on datas_part_0000009015 (cost=0.00..97.61 rows=361 width=659) (actual time=0.014..0.694 rows=619 loops=1)

198. 0.816 0.816 ↓ 1.7 604 1

Parallel Seq Scan on datas_part_0000009253 (cost=0.00..97.60 rows=360 width=664) (actual time=0.011..0.816 rows=604 loops=1)

199. 0.815 0.815 ↓ 1.7 609 1

Parallel Seq Scan on datas_part_0000009173 (cost=0.00..97.58 rows=358 width=660) (actual time=0.019..0.815 rows=609 loops=1)

200. 0.820 0.820 ↓ 1.3 583 1

Parallel Seq Scan on datas_part_0000009094 (cost=0.00..97.54 rows=454 width=662) (actual time=0.015..0.820 rows=583 loops=1)

201. 1.267 1.267 ↓ 1.7 695 1

Parallel Seq Scan on datas_part_0000009380 (cost=0.00..97.02 rows=402 width=664) (actual time=0.007..1.267 rows=695 loops=1)

202. 0.687 0.687 ↓ 1.7 679 1

Parallel Seq Scan on datas_part_0000009355 (cost=0.00..96.99 rows=399 width=665) (actual time=0.007..0.687 rows=679 loops=1)

203. 0.926 0.926 ↓ 1.7 687 1

Parallel Seq Scan on datas_part_0000008973 (cost=0.00..96.96 rows=396 width=664) (actual time=0.016..0.926 rows=687 loops=1)

204. 0.800 0.800 ↓ 1.7 667 1

Parallel Seq Scan on datas_part_0000009138 (cost=0.00..96.92 rows=392 width=663) (actual time=0.011..0.800 rows=667 loops=1)

205. 0.793 0.793 ↓ 1.7 664 1

Parallel Seq Scan on datas_part_0000009213 (cost=0.00..96.91 rows=391 width=663) (actual time=0.020..0.793 rows=664 loops=1)

206. 0.814 0.814 ↓ 1.7 660 1

Parallel Seq Scan on datas_part_0000008943 (cost=0.00..96.88 rows=388 width=667) (actual time=0.015..0.814 rows=660 loops=1)

207. 0.759 0.759 ↓ 1.7 656 1

Parallel Seq Scan on datas_part_0000009266 (cost=0.00..96.86 rows=386 width=664) (actual time=0.007..0.759 rows=656 loops=1)

208. 0.787 0.787 ↓ 1.7 646 1

Parallel Seq Scan on datas_part_0000009041 (cost=0.00..96.78 rows=378 width=660) (actual time=0.012..0.787 rows=646 loops=1)

209. 0.804 0.804 ↓ 1.7 642 1

Parallel Seq Scan on datas_part_0000009511 (cost=0.00..96.78 rows=378 width=661) (actual time=0.016..0.804 rows=642 loops=1)

210. 0.646 0.646 ↓ 1.7 629 1

Parallel Seq Scan on datas_part_0000009070 (cost=0.00..96.70 rows=370 width=665) (actual time=0.013..0.646 rows=629 loops=1)

211. 0.735 0.735 ↓ 1.8 651 1

Parallel Seq Scan on datas_part_0000009236 (cost=0.00..96.70 rows=370 width=663) (actual time=0.017..0.735 rows=651 loops=1)

212. 12.334 12.334 ↓ 1.7 608 1

Parallel Seq Scan on datas_part_0000009008 (cost=0.00..96.62 rows=362 width=661) (actual time=0.012..12.334 rows=608 loops=1)

213. 0.860 0.860 ↓ 1.7 596 1

Parallel Seq Scan on datas_part_0000009180 (cost=0.00..96.56 rows=356 width=660) (actual time=0.013..0.860 rows=596 loops=1)

214. 0.824 0.824 ↓ 1.7 610 1

Parallel Seq Scan on datas_part_0000009330 (cost=0.00..96.56 rows=356 width=662) (actual time=0.017..0.824 rows=610 loops=1)

215. 0.770 0.770 ↓ 1.7 694 1

Parallel Seq Scan on datas_part_0000009235 (cost=0.00..96.09 rows=409 width=663) (actual time=0.022..0.770 rows=694 loops=1)

216. 0.719 0.719 ↓ 1.7 699 1

Parallel Seq Scan on datas_part_0000009160 (cost=0.00..96.05 rows=405 width=666) (actual time=0.012..0.719 rows=699 loops=1)

217. 0.737 0.737 ↓ 1.7 699 1

Parallel Seq Scan on datas_part_0000008963 (cost=0.00..96.04 rows=404 width=662) (actual time=0.006..0.737 rows=699 loops=1)

218. 0.834 0.834 ↓ 1.7 697 1

Parallel Seq Scan on datas_part_0000009239 (cost=0.00..96.02 rows=402 width=663) (actual time=0.006..0.834 rows=697 loops=1)

219. 0.830 0.830 ↓ 1.7 686 1

Parallel Seq Scan on datas_part_0000009480 (cost=0.00..95.98 rows=398 width=664) (actual time=0.017..0.830 rows=686 loops=1)

220. 0.771 0.771 ↓ 1.7 663 1

Parallel Seq Scan on datas_part_0000008865 (cost=0.00..95.90 rows=390 width=664) (actual time=0.016..0.771 rows=663 loops=1)

221. 0.757 0.757 ↓ 1.7 658 1

Parallel Seq Scan on datas_part_0000008942 (cost=0.00..95.87 rows=387 width=666) (actual time=0.015..0.757 rows=658 loops=1)

222. 0.822 0.822 ↓ 1.7 654 1

Parallel Seq Scan on datas_part_0000008920 (cost=0.00..95.85 rows=385 width=663) (actual time=0.007..0.822 rows=654 loops=1)

223. 0.650 0.650 ↓ 1.7 650 1

Parallel Seq Scan on datas_part_0000009532 (cost=0.00..95.82 rows=382 width=663) (actual time=0.007..0.650 rows=650 loops=1)

224. 0.698 0.698 ↓ 1.7 638 1

Parallel Seq Scan on datas_part_0000009341 (cost=0.00..95.75 rows=375 width=661) (actual time=0.006..0.698 rows=638 loops=1)

225. 0.656 0.656 ↓ 1.3 621 1

Parallel Seq Scan on datas_part_0000009234 (cost=0.00..95.72 rows=472 width=662) (actual time=0.012..0.656 rows=621 loops=1)

226. 0.653 0.653 ↓ 1.7 610 1

Parallel Seq Scan on datas_part_0000009169 (cost=0.00..95.65 rows=365 width=660) (actual time=0.010..0.653 rows=610 loops=1)

227. 29.897 29.897 ↓ 1.7 696 1

Parallel Seq Scan on datas_part_0000009359 (cost=0.00..95.11 rows=411 width=663) (actual time=0.008..29.897 rows=696 loops=1)

228. 0.763 0.763 ↓ 1.7 707 1

Parallel Seq Scan on datas_part_0000008935 (cost=0.00..95.11 rows=411 width=663) (actual time=0.018..0.763 rows=707 loops=1)

229. 0.741 0.741 ↓ 1.7 704 1

Parallel Seq Scan on datas_part_0000008927 (cost=0.00..95.09 rows=409 width=665) (actual time=0.010..0.741 rows=704 loops=1)

230. 0.802 0.802 ↓ 1.7 684 1

Parallel Seq Scan on datas_part_0000009353 (cost=0.00..95.02 rows=402 width=664) (actual time=0.007..0.802 rows=684 loops=1)

231. 0.887 0.887 ↓ 1.8 702 1

Parallel Seq Scan on datas_part_0000008928 (cost=0.00..94.98 rows=398 width=666) (actual time=0.018..0.887 rows=702 loops=1)

232. 0.838 0.838 ↓ 1.7 645 1

Parallel Seq Scan on datas_part_0000009361 (cost=0.00..94.79 rows=379 width=666) (actual time=0.018..0.838 rows=645 loops=1)

233. 0.799 0.799 ↓ 1.8 672 1

Parallel Seq Scan on datas_part_0000008933 (cost=0.00..94.79 rows=379 width=661) (actual time=0.012..0.799 rows=672 loops=1)

234. 0.821 0.821 ↓ 1.8 669 1

Parallel Seq Scan on datas_part_0000008855 (cost=0.00..94.77 rows=377 width=663) (actual time=0.013..0.821 rows=669 loops=1)

235. 0.692 0.692 ↓ 1.7 641 1

Parallel Seq Scan on datas_part_0000009365 (cost=0.00..94.77 rows=377 width=664) (actual time=0.014..0.692 rows=641 loops=1)

236. 0.778 0.778 ↓ 1.7 635 1

Parallel Seq Scan on datas_part_0000009145 (cost=0.00..94.74 rows=374 width=660) (actual time=0.013..0.778 rows=635 loops=1)

237. 0.704 0.704 ↓ 1.7 617 1

Parallel Seq Scan on datas_part_0000009451 (cost=0.00..94.66 rows=366 width=662) (actual time=0.018..0.704 rows=617 loops=1)

238. 0.669 0.669 ↓ 1.8 646 1

Parallel Seq Scan on datas_part_0000009080 (cost=0.00..94.66 rows=366 width=667) (actual time=0.006..0.669 rows=646 loops=1)

239. 0.669 0.669 ↓ 1.7 616 1

Parallel Seq Scan on datas_part_0000009072 (cost=0.00..94.63 rows=363 width=661) (actual time=0.019..0.669 rows=616 loops=1)

240. 1.179 1.179 ↓ 1.7 615 1

Parallel Seq Scan on datas_part_0000009013 (cost=0.00..94.61 rows=361 width=662) (actual time=0.014..1.179 rows=615 loops=1)

241. 1.027 1.027 ↓ 1.7 615 1

Parallel Seq Scan on datas_part_0000009332 (cost=0.00..94.61 rows=361 width=662) (actual time=0.012..1.027 rows=615 loops=1)

242. 0.720 0.720 ↓ 1.5 666 1

Parallel Seq Scan on datas_part_0000008937 (cost=0.00..94.36 rows=436 width=665) (actual time=0.018..0.720 rows=666 loops=1)

243. 0.728 0.728 ↓ 2.0 619 1

Parallel Seq Scan on datas_part_0000009307 (cost=0.00..94.15 rows=315 width=661) (actual time=0.016..0.728 rows=619 loops=1)

244. 0.709 0.709 ↓ 1.7 695 1

Parallel Seq Scan on datas_part_0000009319 (cost=0.00..94.03 rows=403 width=663) (actual time=0.010..0.709 rows=695 loops=1)

245. 0.804 0.804 ↓ 1.7 695 1

Parallel Seq Scan on datas_part_0000008853 (cost=0.00..94.01 rows=401 width=663) (actual time=0.011..0.804 rows=695 loops=1)

246. 0.812 0.812 ↓ 1.8 705 1

Parallel Seq Scan on datas_part_0000008844 (cost=0.00..94.00 rows=400 width=663) (actual time=0.006..0.812 rows=705 loops=1)

247. 0.775 0.775 ↓ 1.7 690 1

Parallel Seq Scan on datas_part_0000008980 (cost=0.00..93.98 rows=398 width=663) (actual time=0.007..0.775 rows=690 loops=1)

248. 0.705 0.705 ↓ 1.7 680 1

Parallel Seq Scan on datas_part_0000008968 (cost=0.00..93.93 rows=393 width=662) (actual time=0.007..0.705 rows=680 loops=1)

249. 0.840 0.840 ↓ 1.7 659 1

Parallel Seq Scan on datas_part_0000008951 (cost=0.00..93.88 rows=388 width=663) (actual time=0.031..0.840 rows=659 loops=1)

250. 0.815 0.815 ↓ 1.7 655 1

Parallel Seq Scan on datas_part_0000009010 (cost=0.00..93.85 rows=385 width=662) (actual time=0.007..0.815 rows=655 loops=1)

251. 1.319 1.319 ↓ 1.7 644 1

Parallel Seq Scan on datas_part_0000008868 (cost=0.00..93.79 rows=379 width=665) (actual time=0.012..1.319 rows=644 loops=1)

252. 0.723 0.723 ↓ 1.7 626 1

Parallel Seq Scan on datas_part_0000009045 (cost=0.00..93.79 rows=379 width=663) (actual time=0.012..0.723 rows=626 loops=1)

253. 0.849 0.849 ↓ 1.8 646 1

Parallel Seq Scan on datas_part_0000008978 (cost=0.00..93.65 rows=365 width=663) (actual time=0.010..0.849 rows=646 loops=1)

254. 0.781 0.781 ↓ 1.7 618 1

Parallel Seq Scan on datas_part_0000009127 (cost=0.00..93.64 rows=364 width=661) (actual time=0.014..0.781 rows=618 loops=1)

255. 0.800 0.800 ↓ 1.7 608 1

Parallel Seq Scan on datas_part_0000009462 (cost=0.00..93.64 rows=364 width=661) (actual time=0.013..0.800 rows=608 loops=1)

256. 0.656 0.656 ↓ 1.7 614 1

Parallel Seq Scan on datas_part_0000008899 (cost=0.00..93.61 rows=361 width=661) (actual time=0.014..0.656 rows=614 loops=1)

257. 0.691 0.691 ↓ 1.7 614 1

Parallel Seq Scan on datas_part_0000009263 (cost=0.00..93.60 rows=360 width=662) (actual time=0.013..0.691 rows=614 loops=1)

258. 0.639 0.639 ↓ 1.7 599 1

Parallel Seq Scan on datas_part_0000009252 (cost=0.00..93.52 rows=352 width=663) (actual time=0.011..0.639 rows=599 loops=1)

259. 0.725 0.725 ↓ 1.7 705 1

Parallel Seq Scan on datas_part_0000008930 (cost=0.00..93.09 rows=409 width=665) (actual time=0.015..0.725 rows=705 loops=1)

260. 5.177 5.177 ↓ 1.7 709 1

Parallel Seq Scan on datas_part_0000009439 (cost=0.00..93.08 rows=408 width=662) (actual time=4.487..5.177 rows=709 loops=1)

261. 0.741 0.741 ↓ 1.7 694 1

Parallel Seq Scan on datas_part_0000009376 (cost=0.00..93.03 rows=403 width=663) (actual time=0.010..0.741 rows=694 loops=1)

262. 1.445 1.445 ↓ 1.7 685 1

Parallel Seq Scan on datas_part_0000009412 (cost=0.00..92.97 rows=397 width=662) (actual time=0.016..1.445 rows=685 loops=1)

263. 0.772 0.772 ↓ 1.6 648 1

Parallel Seq Scan on datas_part_0000009293 (cost=0.00..92.96 rows=396 width=660) (actual time=0.012..0.772 rows=648 loops=1)

264. 0.694 0.694 ↓ 1.7 684 1

Parallel Seq Scan on datas_part_0000009360 (cost=0.00..92.96 rows=396 width=663) (actual time=0.007..0.694 rows=684 loops=1)

265. 0.798 0.798 ↓ 1.7 672 1

Parallel Seq Scan on datas_part_0000009001 (cost=0.00..92.95 rows=395 width=664) (actual time=0.014..0.798 rows=672 loops=1)

266. 0.748 0.748 ↓ 1.7 677 1

Parallel Seq Scan on datas_part_0000008992 (cost=0.00..92.91 rows=391 width=663) (actual time=0.007..0.748 rows=677 loops=1)

267. 0.707 0.707 ↓ 1.6 640 1

Parallel Seq Scan on datas_part_0000008949 (cost=0.00..92.90 rows=390 width=662) (actual time=0.015..0.707 rows=640 loops=1)

268. 0.735 0.735 ↓ 1.7 668 1

Parallel Seq Scan on datas_part_0000009162 (cost=0.00..92.89 rows=389 width=661) (actual time=0.011..0.735 rows=668 loops=1)

269. 0.694 0.694 ↓ 1.7 658 1

Parallel Seq Scan on datas_part_0000009232 (cost=0.00..92.87 rows=387 width=663) (actual time=0.014..0.694 rows=658 loops=1)

270. 0.800 0.800 ↓ 1.7 655 1

Parallel Seq Scan on datas_part_0000008983 (cost=0.00..92.85 rows=385 width=662) (actual time=0.013..0.800 rows=655 loops=1)

271. 1.269 1.269 ↓ 1.6 603 1

Parallel Seq Scan on datas_part_0000008924 (cost=0.00..92.83 rows=383 width=664) (actual time=0.017..1.269 rows=603 loops=1)

272. 0.875 0.875 ↓ 1.7 650 1

Parallel Seq Scan on datas_part_0000009226 (cost=0.00..92.82 rows=382 width=663) (actual time=0.013..0.875 rows=650 loops=1)

273. 0.736 0.736 ↓ 1.7 647 1

Parallel Seq Scan on datas_part_0000009440 (cost=0.00..92.81 rows=381 width=665) (actual time=0.017..0.736 rows=647 loops=1)

274. 0.693 0.693 ↓ 1.7 637 1

Parallel Seq Scan on datas_part_0000009088 (cost=0.00..92.75 rows=375 width=662) (actual time=0.014..0.693 rows=637 loops=1)

275. 0.781 0.781 ↓ 1.7 637 1

Parallel Seq Scan on datas_part_0000009367 (cost=0.00..92.75 rows=375 width=663) (actual time=0.015..0.781 rows=637 loops=1)

276. 0.819 0.819 ↓ 1.7 615 1

Parallel Seq Scan on datas_part_0000009019 (cost=0.00..92.71 rows=371 width=663) (actual time=0.014..0.819 rows=615 loops=1)

277. 4.397 4.397 ↓ 1.7 628 1

Parallel Seq Scan on datas_part_0000009079 (cost=0.00..92.69 rows=369 width=662) (actual time=0.016..4.397 rows=628 loops=1)

278. 0.777 0.777 ↓ 1.7 619 1

Parallel Seq Scan on datas_part_0000009125 (cost=0.00..92.64 rows=364 width=664) (actual time=0.006..0.777 rows=619 loops=1)

279. 0.797 0.797 ↓ 1.7 609 1

Parallel Seq Scan on datas_part_0000009274 (cost=0.00..92.63 rows=363 width=661) (actual time=0.013..0.797 rows=609 loops=1)

280. 0.799 0.799 ↓ 1.7 613 1

Parallel Seq Scan on datas_part_0000008912 (cost=0.00..92.62 rows=362 width=661) (actual time=0.013..0.799 rows=613 loops=1)

281. 0.796 0.796 ↓ 1.7 614 1

Parallel Seq Scan on datas_part_0000008922 (cost=0.00..92.62 rows=362 width=662) (actual time=0.011..0.796 rows=614 loops=1)

282. 0.770 0.770 ↓ 1.7 595 1

Parallel Seq Scan on datas_part_0000009335 (cost=0.00..92.59 rows=359 width=662) (actual time=0.015..0.770 rows=595 loops=1)

283. 0.830 0.830 ↓ 1.8 631 1

Parallel Seq Scan on datas_part_0000009240 (cost=0.00..92.55 rows=355 width=665) (actual time=0.023..0.830 rows=631 loops=1)

284. 0.786 0.786 ↓ 1.7 597 1

Parallel Seq Scan on datas_part_0000009350 (cost=0.00..92.52 rows=352 width=660) (actual time=0.015..0.786 rows=597 loops=1)

285. 0.723 0.723 ↓ 1.7 680 1

Parallel Seq Scan on datas_part_0000009370 (cost=0.00..92.08 rows=408 width=662) (actual time=0.006..0.723 rows=680 loops=1)

286. 1.429 1.429 ↓ 1.6 638 1

Parallel Seq Scan on datas_part_0000008939 (cost=0.00..92.06 rows=406 width=663) (actual time=0.018..1.429 rows=638 loops=1)

287. 0.778 0.778 ↓ 1.7 657 1

Parallel Seq Scan on datas_part_0000009217 (cost=0.00..91.86 rows=386 width=663) (actual time=0.014..0.778 rows=657 loops=1)

288. 1.836 1.836 ↓ 1.7 654 1

Parallel Seq Scan on datas_part_0000009281 (cost=0.00..91.85 rows=385 width=662) (actual time=0.007..1.836 rows=654 loops=1)

289. 0.612 0.612 ↓ 1.7 653 1

Parallel Seq Scan on datas_part_0000008891 (cost=0.00..91.84 rows=384 width=664) (actual time=0.007..0.612 rows=653 loops=1)

290. 0.581 0.581 ↓ 1.7 664 1

Parallel Seq Scan on datas_part_0000008979 (cost=0.00..91.84 rows=384 width=663) (actual time=0.006..0.581 rows=664 loops=1)

291. 0.790 0.790 ↓ 1.7 650 1

Parallel Seq Scan on datas_part_0000009375 (cost=0.00..91.82 rows=382 width=661) (actual time=0.013..0.790 rows=650 loops=1)

292. 0.595 0.595 ↓ 1.7 649 1

Parallel Seq Scan on datas_part_0000008998 (cost=0.00..91.82 rows=382 width=664) (actual time=0.008..0.595 rows=649 loops=1)

293. 0.658 0.658 ↓ 1.7 640 1

Parallel Seq Scan on datas_part_0000008945 (cost=0.00..91.76 rows=376 width=663) (actual time=0.010..0.658 rows=640 loops=1)

294. 0.753 0.753 ↓ 1.7 631 1

Parallel Seq Scan on datas_part_0000009400 (cost=0.00..91.71 rows=371 width=662) (actual time=0.011..0.753 rows=631 loops=1)

295. 3.055 3.055 ↓ 1.7 610 1

Parallel Seq Scan on datas_part_0000009273 (cost=0.00..91.69 rows=369 width=662) (actual time=0.011..3.055 rows=610 loops=1)

296. 0.669 0.669 ↓ 1.7 609 1

Parallel Seq Scan on datas_part_0000009267 (cost=0.00..91.68 rows=368 width=663) (actual time=0.010..0.669 rows=609 loops=1)

297. 0.661 0.661 ↓ 1.7 609 1

Parallel Seq Scan on datas_part_0000009473 (cost=0.00..91.66 rows=366 width=661) (actual time=0.013..0.661 rows=609 loops=1)

298. 0.641 0.641 ↓ 1.7 635 1

Parallel Seq Scan on datas_part_0000008985 (cost=0.00..91.64 rows=364 width=660) (actual time=0.012..0.641 rows=635 loops=1)

299. 0.819 0.819 ↓ 1.7 616 1

Parallel Seq Scan on datas_part_0000009468 (cost=0.00..91.63 rows=363 width=665) (actual time=0.260..0.819 rows=616 loops=1)

300. 0.682 0.682 ↓ 1.7 613 1

Parallel Seq Scan on datas_part_0000009325 (cost=0.00..91.61 rows=361 width=662) (actual time=0.009..0.682 rows=613 loops=1)

301. 0.515 0.515 ↓ 1.7 607 1

Parallel Seq Scan on datas_part_0000009007 (cost=0.00..91.58 rows=358 width=662) (actual time=0.009..0.515 rows=607 loops=1)

302. 0.451 0.451 ↓ 1.7 625 1

Parallel Seq Scan on datas_part_0000009133 (cost=0.00..91.58 rows=358 width=662) (actual time=0.005..0.451 rows=625 loops=1)

303. 2.452 2.452 ↓ 1.7 594 1

Parallel Seq Scan on datas_part_0000009272 (cost=0.00..91.54 rows=354 width=661) (actual time=0.011..2.452 rows=594 loops=1)

304. 1.185 1.185 ↓ 1.7 698 1

Parallel Seq Scan on datas_part_0000008929 (cost=0.00..91.06 rows=406 width=666) (actual time=0.007..1.185 rows=698 loops=1)

305. 0.794 0.794 ↓ 1.7 692 1

Parallel Seq Scan on datas_part_0000009153 (cost=0.00..91.04 rows=404 width=662) (actual time=0.017..0.794 rows=692 loops=1)

306. 0.716 0.716 ↓ 1.7 694 1

Parallel Seq Scan on datas_part_0000009384 (cost=0.00..91.02 rows=402 width=665) (actual time=0.007..0.716 rows=694 loops=1)

307. 0.633 0.633 ↓ 1.7 674 1

Parallel Seq Scan on datas_part_0000009151 (cost=0.00..90.93 rows=393 width=663) (actual time=0.016..0.633 rows=674 loops=1)

308. 9.075 9.075 ↓ 1.7 676 1

Parallel Seq Scan on datas_part_0000009402 (cost=0.00..90.91 rows=391 width=664) (actual time=0.016..9.075 rows=676 loops=1)

309. 0.691 0.691 ↓ 1.7 656 1

Parallel Seq Scan on datas_part_0000009270 (cost=0.00..90.86 rows=386 width=664) (actual time=0.007..0.691 rows=656 loops=1)

310. 1.199 1.199 ↓ 1.7 650 1

Parallel Seq Scan on datas_part_0000009470 (cost=0.00..90.82 rows=382 width=664) (actual time=0.012..1.199 rows=650 loops=1)

311. 2.861 2.861 ↓ 1.7 628 1

Parallel Seq Scan on datas_part_0000009050 (cost=0.00..90.80 rows=380 width=663) (actual time=0.017..2.861 rows=628 loops=1)

312. 0.689 0.689 ↓ 1.7 643 1

Parallel Seq Scan on datas_part_0000009457 (cost=0.00..90.78 rows=378 width=665) (actual time=0.009..0.689 rows=643 loops=1)

313. 0.618 0.618 ↓ 1.7 636 1

Parallel Seq Scan on datas_part_0000009091 (cost=0.00..90.74 rows=374 width=665) (actual time=0.007..0.618 rows=636 loops=1)

314. 0.663 0.663 ↓ 1.7 635 1

Parallel Seq Scan on datas_part_0000009159 (cost=0.00..90.74 rows=374 width=661) (actual time=0.008..0.663 rows=635 loops=1)

315. 0.743 0.743 ↓ 1.7 622 1

Parallel Seq Scan on datas_part_0000009336 (cost=0.00..90.74 rows=374 width=662) (actual time=0.019..0.743 rows=622 loops=1)

316. 0.725 0.725 ↓ 1.7 624 1

Parallel Seq Scan on datas_part_0000008902 (cost=0.00..90.73 rows=373 width=663) (actual time=0.012..0.725 rows=624 loops=1)

317. 2.593 2.593 ↓ 1.7 610 1

Parallel Seq Scan on datas_part_0000009172 (cost=0.00..90.68 rows=368 width=664) (actual time=0.022..2.593 rows=610 loops=1)

318. 0.886 0.886 ↓ 1.7 623 1

Parallel Seq Scan on datas_part_0000009510 (cost=0.00..90.68 rows=368 width=663) (actual time=0.045..0.886 rows=623 loops=1)

319. 0.845 0.845 ↓ 1.7 610 1

Parallel Seq Scan on datas_part_0000009199 (cost=0.00..90.67 rows=367 width=661) (actual time=0.017..0.845 rows=610 loops=1)

320. 0.585 0.585 ↓ 1.7 617 1

Parallel Seq Scan on datas_part_0000008911 (cost=0.00..90.64 rows=364 width=664) (actual time=0.014..0.585 rows=617 loops=1)

321. 0.573 0.573 ↓ 1.7 617 1

Parallel Seq Scan on datas_part_0000009052 (cost=0.00..90.64 rows=364 width=661) (actual time=0.016..0.573 rows=617 loops=1)

322. 0.636 0.636 ↓ 1.7 614 1

Parallel Seq Scan on datas_part_0000009323 (cost=0.00..90.63 rows=363 width=661) (actual time=0.010..0.636 rows=614 loops=1)

323. 0.557 0.557 ↓ 1.8 638 1

Parallel Seq Scan on datas_part_0000008974 (cost=0.00..90.62 rows=362 width=661) (actual time=0.010..0.557 rows=638 loops=1)

324. 0.692 0.692 ↓ 1.7 598 1

Parallel Seq Scan on datas_part_0000009142 (cost=0.00..90.55 rows=355 width=659) (actual time=0.009..0.692 rows=598 loops=1)

325. 54.886 54.886 ↓ 1.7 575 1

Parallel Seq Scan on datas_part_0000009093 (cost=0.00..90.47 rows=347 width=664) (actual time=0.011..54.886 rows=575 loops=1)

326. 0.713 0.713 ↓ 1.7 689 1

Parallel Seq Scan on datas_part_0000009386 (cost=0.00..90.05 rows=405 width=666) (actual time=0.006..0.713 rows=689 loops=1)

327. 0.766 0.766 ↓ 1.7 665 1

Parallel Seq Scan on datas_part_0000009442 (cost=0.00..89.91 rows=391 width=668) (actual time=0.016..0.766 rows=665 loops=1)

328. 0.657 0.657 ↓ 1.7 654 1

Parallel Seq Scan on datas_part_0000008919 (cost=0.00..89.85 rows=385 width=662) (actual time=0.006..0.657 rows=654 loops=1)

329. 0.712 0.712 ↓ 1.7 664 1

Parallel Seq Scan on datas_part_0000008950 (cost=0.00..89.84 rows=384 width=665) (actual time=0.014..0.712 rows=664 loops=1)

330. 0.721 0.721 ↓ 1.7 638 1

Parallel Seq Scan on datas_part_0000009371 (cost=0.00..89.75 rows=375 width=664) (actual time=0.008..0.721 rows=638 loops=1)

331. 0.761 0.761 ↓ 1.7 627 1

Parallel Seq Scan on datas_part_0000009485 (cost=0.00..89.75 rows=375 width=663) (actual time=0.017..0.761 rows=627 loops=1)

332. 0.681 0.681 ↓ 1.7 647 1

Parallel Seq Scan on datas_part_0000008969 (cost=0.00..89.71 rows=371 width=663) (actual time=0.014..0.681 rows=647 loops=1)

333. 0.851 0.851 ↓ 1.8 653 1

Parallel Seq Scan on datas_part_0000009224 (cost=0.00..89.69 rows=369 width=664) (actual time=0.016..0.851 rows=653 loops=1)

334. 0.791 0.791 ↓ 1.7 611 1

Parallel Seq Scan on datas_part_0000008905 (cost=0.00..89.68 rows=368 width=662) (actual time=0.015..0.791 rows=611 loops=1)

335. 0.724 0.724 ↓ 1.7 611 1

Parallel Seq Scan on datas_part_0000009137 (cost=0.00..89.68 rows=368 width=661) (actual time=0.017..0.724 rows=611 loops=1)

336. 0.703 0.703 ↓ 1.6 601 1

Parallel Seq Scan on datas_part_0000009190 (cost=0.00..89.67 rows=367 width=664) (actual time=0.017..0.703 rows=601 loops=1)

337. 0.819 0.819 ↓ 1.7 614 1

Parallel Seq Scan on datas_part_0000009254 (cost=0.00..89.67 rows=367 width=661) (actual time=0.014..0.819 rows=614 loops=1)

338. 0.719 0.719 ↓ 1.6 602 1

Parallel Seq Scan on datas_part_0000009493 (cost=0.00..89.66 rows=366 width=662) (actual time=0.012..0.719 rows=602 loops=1)

339. 0.739 0.739 ↓ 1.7 617 1

Parallel Seq Scan on datas_part_0000008894 (cost=0.00..89.65 rows=365 width=661) (actual time=0.015..0.739 rows=617 loops=1)

340. 1.839 1.839 ↓ 1.7 607 1

Parallel Seq Scan on datas_part_0000009032 (cost=0.00..89.62 rows=362 width=662) (actual time=0.018..1.839 rows=607 loops=1)

341. 0.700 0.700 ↓ 1.7 601 1

Parallel Seq Scan on datas_part_0000009496 (cost=0.00..89.61 rows=361 width=663) (actual time=0.021..0.700 rows=601 loops=1)

342. 0.772 0.772 ↓ 1.7 610 1

Parallel Seq Scan on datas_part_0000008826 (cost=0.00..89.60 rows=360 width=660) (actual time=0.013..0.772 rows=610 loops=1)

343. 0.671 0.671 ↓ 1.7 592 1

Parallel Seq Scan on datas_part_0000009258 (cost=0.00..89.58 rows=358 width=658) (actual time=0.015..0.671 rows=592 loops=1)

344. 0.817 0.817 ↓ 1.7 594 1

Parallel Seq Scan on datas_part_0000009112 (cost=0.00..89.52 rows=352 width=661) (actual time=0.013..0.817 rows=594 loops=1)

345. 0.803 0.803 ↓ 1.7 600 1

Parallel Seq Scan on datas_part_0000009449 (cost=0.00..89.51 rows=351 width=662) (actual time=0.010..0.803 rows=600 loops=1)

346. 1.050 1.050 ↓ 1.7 710 1

Parallel Seq Scan on datas_part_0000009395 (cost=0.00..89.11 rows=411 width=663) (actual time=0.006..1.050 rows=710 loops=1)

347. 0.758 0.758 ↓ 1.7 682 1

Parallel Seq Scan on datas_part_0000009357 (cost=0.00..89.01 rows=401 width=666) (actual time=0.017..0.758 rows=682 loops=1)

348. 0.632 0.632 ↓ 1.7 690 1

Parallel Seq Scan on datas_part_0000008883 (cost=0.00..88.99 rows=399 width=663) (actual time=0.016..0.632 rows=690 loops=1)

349. 0.660 0.660 ↓ 1.7 663 1

Parallel Seq Scan on datas_part_0000008857 (cost=0.00..88.85 rows=385 width=664) (actual time=0.012..0.660 rows=663 loops=1)

350. 0.784 0.784 ↓ 1.8 695 1

Parallel Seq Scan on datas_part_0000008901 (cost=0.00..88.85 rows=385 width=666) (actual time=0.015..0.784 rows=695 loops=1)

351. 1.015 1.015 ↓ 1.7 655 1

Parallel Seq Scan on datas_part_0000008953 (cost=0.00..88.85 rows=385 width=663) (actual time=0.033..1.015 rows=655 loops=1)

352. 0.639 0.639 ↓ 1.7 654 1

Parallel Seq Scan on datas_part_0000009372 (cost=0.00..88.85 rows=385 width=665) (actual time=0.012..0.639 rows=654 loops=1)

353. 0.662 0.662 ↓ 1.7 653 1

Parallel Seq Scan on datas_part_0000008982 (cost=0.00..88.84 rows=384 width=666) (actual time=0.017..0.662 rows=653 loops=1)

354. 0.639 0.639 ↓ 1.7 633 1

Parallel Seq Scan on datas_part_0000009501 (cost=0.00..88.81 rows=381 width=660) (actual time=0.013..0.639 rows=633 loops=1)

355. 5.380 5.380 ↓ 1.7 632 1

Parallel Seq Scan on datas_part_0000009529 (cost=0.00..88.80 rows=380 width=660) (actual time=0.007..5.380 rows=632 loops=1)

356. 0.633 0.633 ↓ 1.7 629 1

Parallel Seq Scan on datas_part_0000009504 (cost=0.00..88.75 rows=375 width=661) (actual time=0.014..0.633 rows=629 loops=1)

357. 0.705 0.705 ↓ 1.7 632 1

Parallel Seq Scan on datas_part_0000009087 (cost=0.00..88.72 rows=372 width=664) (actual time=0.012..0.705 rows=632 loops=1)

358. 0.611 0.611 ↓ 1.7 617 1

Parallel Seq Scan on datas_part_0000009174 (cost=0.00..88.71 rows=371 width=665) (actual time=0.016..0.611 rows=617 loops=1)

359. 0.660 0.660 ↓ 1.7 617 1

Parallel Seq Scan on datas_part_0000009340 (cost=0.00..88.71 rows=371 width=662) (actual time=0.012..0.660 rows=617 loops=1)

360. 13.329 13.329 ↓ 1.8 650 1

Parallel Seq Scan on datas_part_0000009238 (cost=0.00..88.69 rows=369 width=661) (actual time=0.012..13.329 rows=650 loops=1)

361. 0.586 0.586 ↓ 1.7 624 1

Parallel Seq Scan on datas_part_0000009490 (cost=0.00..88.69 rows=369 width=660) (actual time=0.013..0.586 rows=624 loops=1)

362. 0.576 0.576 ↓ 1.6 607 1

Parallel Seq Scan on datas_part_0000009310 (cost=0.00..88.69 rows=369 width=662) (actual time=0.011..0.576 rows=607 loops=1)

363. 2.316 2.316 ↓ 1.7 604 1

Parallel Seq Scan on datas_part_0000008828 (cost=0.00..88.66 rows=366 width=662) (actual time=0.013..2.316 rows=604 loops=1)

364. 0.720 0.720 ↓ 1.7 617 1

Parallel Seq Scan on datas_part_0000009461 (cost=0.00..88.66 rows=366 width=660) (actual time=0.017..0.720 rows=617 loops=1)

365. 0.949 0.949 ↓ 1.7 610 1

Parallel Seq Scan on datas_part_0000009477 (cost=0.00..88.66 rows=366 width=665) (actual time=0.015..0.949 rows=610 loops=1)

366. 3.006 3.006 ↓ 1.7 615 1

Parallel Seq Scan on datas_part_0000009227 (cost=0.00..88.64 rows=364 width=662) (actual time=0.021..3.006 rows=615 loops=1)

367. 0.617 0.617 ↓ 1.8 635 1

Parallel Seq Scan on datas_part_0000009074 (cost=0.00..88.60 rows=360 width=663) (actual time=0.010..0.617 rows=635 loops=1)

368. 0.581 0.581 ↓ 1.7 606 1

Parallel Seq Scan on datas_part_0000009051 (cost=0.00..88.56 rows=356 width=661) (actual time=0.013..0.581 rows=606 loops=1)

369. 0.627 0.627 ↓ 1.7 604 1

Parallel Seq Scan on datas_part_0000009251 (cost=0.00..88.55 rows=355 width=662) (actual time=0.011..0.627 rows=604 loops=1)

370. 1.136 1.136 ↓ 1.7 591 1

Parallel Seq Scan on datas_part_0000009120 (cost=0.00..88.50 rows=350 width=660) (actual time=0.012..1.136 rows=591 loops=1)

371. 0.611 0.611 ↓ 1.6 564 1

Parallel Seq Scan on datas_part_0000009107 (cost=0.00..88.42 rows=342 width=667) (actual time=0.012..0.611 rows=564 loops=1)

372. 0.633 0.633 ↓ 1.7 578 1

Parallel Seq Scan on datas_part_0000009116 (cost=0.00..88.38 rows=338 width=661) (actual time=0.011..0.633 rows=578 loops=1)

373. 0.640 0.640 ↓ 1.7 656 1

Parallel Seq Scan on datas_part_0000008999 (cost=0.00..87.86 rows=386 width=663) (actual time=0.010..0.640 rows=656 loops=1)

374. 7.948 7.948 ↓ 1.7 648 1

Parallel Seq Scan on datas_part_0000009487 (cost=0.00..87.81 rows=381 width=664) (actual time=0.011..7.948 rows=648 loops=1)

375. 29.346 29.346 ↓ 1.7 644 1

Parallel Seq Scan on datas_part_0000009214 (cost=0.00..87.79 rows=379 width=664) (actual time=0.024..29.346 rows=644 loops=1)

376. 0.879 0.879 ↓ 1.6 617 1

Parallel Seq Scan on datas_part_0000009182 (cost=0.00..87.78 rows=378 width=663) (actual time=0.012..0.879 rows=617 loops=1)

377. 0.527 0.527 ↓ 1.6 616 1

Parallel Seq Scan on datas_part_0000008835 (cost=0.00..87.77 rows=377 width=661) (actual time=0.015..0.527 rows=616 loops=1)

378. 0.555 0.555 ↓ 1.7 637 1

Parallel Seq Scan on datas_part_0000009078 (cost=0.00..87.74 rows=374 width=665) (actual time=0.010..0.555 rows=637 loops=1)

379. 0.551 0.551 ↓ 1.7 635 1

Parallel Seq Scan on datas_part_0000009374 (cost=0.00..87.74 rows=374 width=662) (actual time=0.010..0.551 rows=635 loops=1)

380. 4.863 4.863 ↓ 1.7 633 1

Parallel Seq Scan on datas_part_0000009333 (cost=0.00..87.72 rows=372 width=662) (actual time=0.011..4.863 rows=633 loops=1)

381. 0.570 0.570 ↓ 1.7 611 1

Parallel Seq Scan on datas_part_0000009058 (cost=0.00..87.69 rows=369 width=664) (actual time=0.010..0.570 rows=611 loops=1)

382. 0.626 0.626 ↓ 1.7 609 1

Parallel Seq Scan on datas_part_0000009247 (cost=0.00..87.68 rows=368 width=664) (actual time=0.009..0.626 rows=609 loops=1)

383. 0.692 0.692 ↓ 1.7 609 1

Parallel Seq Scan on datas_part_0000009499 (cost=0.00..87.68 rows=368 width=663) (actual time=0.020..0.692 rows=609 loops=1)

384. 0.713 0.713 ↓ 1.7 611 1

Parallel Seq Scan on datas_part_0000009331 (cost=0.00..87.68 rows=368 width=662) (actual time=0.016..0.713 rows=611 loops=1)

385. 0.690 0.690 ↓ 1.7 618 1

Parallel Seq Scan on datas_part_0000009188 (cost=0.00..87.67 rows=367 width=661) (actual time=0.024..0.690 rows=618 loops=1)

386. 0.787 0.787 ↓ 1.7 613 1

Parallel Seq Scan on datas_part_0000009524 (cost=0.00..87.67 rows=367 width=662) (actual time=0.007..0.787 rows=613 loops=1)

387. 0.662 0.662 ↓ 1.7 606 1

Parallel Seq Scan on datas_part_0000008893 (cost=0.00..87.66 rows=366 width=662) (actual time=0.012..0.662 rows=606 loops=1)

388. 0.982 0.982 ↓ 1.7 607 1

Parallel Seq Scan on datas_part_0000009048 (cost=0.00..87.65 rows=365 width=661) (actual time=0.014..0.982 rows=607 loops=1)

389. 0.810 0.810 ↓ 1.7 601 1

Parallel Seq Scan on datas_part_0000008977 (cost=0.00..87.57 rows=357 width=662) (actual time=0.013..0.810 rows=601 loops=1)

390. 0.724 0.724 ↓ 1.7 582 1

Parallel Seq Scan on datas_part_0000009113 (cost=0.00..87.49 rows=349 width=664) (actual time=0.012..0.724 rows=582 loops=1)

391. 0.732 0.732 ↓ 1.7 582 1

Parallel Seq Scan on datas_part_0000009515 (cost=0.00..87.48 rows=348 width=665) (actual time=0.029..0.732 rows=582 loops=1)

392. 1.003 1.003 ↓ 1.7 574 1

Parallel Seq Scan on datas_part_0000009260 (cost=0.00..87.36 rows=336 width=660) (actual time=0.011..1.003 rows=574 loops=1)

393. 0.963 0.963 ↓ 1.6 633 1

Parallel Seq Scan on datas_part_0000008946 (cost=0.00..87.08 rows=408 width=663) (actual time=0.026..0.963 rows=633 loops=1)

394. 11.830 11.830 ↓ 1.7 667 1

Parallel Seq Scan on datas_part_0000008873 (cost=0.00..86.92 rows=392 width=663) (actual time=0.016..11.830 rows=667 loops=1)

395. 0.921 0.921 ↓ 1.7 654 1

Parallel Seq Scan on datas_part_0000009256 (cost=0.00..86.85 rows=385 width=661) (actual time=0.007..0.921 rows=654 loops=1)

396. 0.773 0.773 ↓ 1.7 653 1

Parallel Seq Scan on datas_part_0000009377 (cost=0.00..86.84 rows=384 width=665) (actual time=0.018..0.773 rows=653 loops=1)

397. 0.638 0.638 ↓ 1.7 636 1

Parallel Seq Scan on datas_part_0000009230 (cost=0.00..86.74 rows=374 width=662) (actual time=0.017..0.638 rows=636 loops=1)

398. 0.750 0.750 ↓ 1.6 617 1

Parallel Seq Scan on datas_part_0000009197 (cost=0.00..86.74 rows=374 width=663) (actual time=0.012..0.750 rows=617 loops=1)

399. 0.320 0.320 ↑ 1.2 317 2

Parallel Seq Scan on datas_part_0000009077 (cost=0.00..86.73 rows=373 width=666) (actual time=0.010..0.320 rows=317 loops=2)

400. 0.659 0.659 ↓ 1.7 634 1

Parallel Seq Scan on datas_part_0000009444 (cost=0.00..86.73 rows=373 width=664) (actual time=0.015..0.659 rows=634 loops=1)

401. 0.621 0.621 ↓ 1.7 616 1

Parallel Seq Scan on datas_part_0000009322 (cost=0.00..86.72 rows=372 width=660) (actual time=0.010..0.621 rows=616 loops=1)

402. 0.725 0.725 ↓ 1.7 617 1

Parallel Seq Scan on datas_part_0000008887 (cost=0.00..86.71 rows=371 width=661) (actual time=0.018..0.725 rows=617 loops=1)

403. 0.852 0.852 ↓ 1.8 651 1

Parallel Seq Scan on datas_part_0000009241 (cost=0.00..86.70 rows=370 width=661) (actual time=0.018..0.852 rows=651 loops=1)

404. 0.586 0.586 ↓ 1.7 611 1

Parallel Seq Scan on datas_part_0000009297 (cost=0.00..86.70 rows=370 width=662) (actual time=0.013..0.586 rows=611 loops=1)

405. 0.577 0.577 ↓ 1.7 618 1

Parallel Seq Scan on datas_part_0000009426 (cost=0.00..86.69 rows=369 width=661) (actual time=0.017..0.577 rows=618 loops=1)

406. 1.403 1.403 ↓ 1.7 611 1

Parallel Seq Scan on datas_part_0000009474 (cost=0.00..86.68 rows=368 width=664) (actual time=0.861..1.403 rows=611 loops=1)

407. 0.569 0.569 ↓ 1.7 616 1

Parallel Seq Scan on datas_part_0000008888 (cost=0.00..86.66 rows=366 width=661) (actual time=0.006..0.569 rows=616 loops=1)

408. 0.679 0.679 ↓ 1.7 615 1

Parallel Seq Scan on datas_part_0000009161 (cost=0.00..86.66 rows=366 width=661) (actual time=0.006..0.679 rows=615 loops=1)

409. 0.601 0.601 ↓ 1.7 636 1

Parallel Seq Scan on datas_part_0000009527 (cost=0.00..86.66 rows=366 width=661) (actual time=0.013..0.601 rows=636 loops=1)

410. 0.699 0.699 ↓ 1.7 613 1

Parallel Seq Scan on datas_part_0000009249 (cost=0.00..86.65 rows=365 width=663) (actual time=0.011..0.699 rows=613 loops=1)

411. 0.839 0.839 ↓ 1.7 597 1

Parallel Seq Scan on datas_part_0000009017 (cost=0.00..86.61 rows=361 width=662) (actual time=0.011..0.839 rows=597 loops=1)

412. 64.671 64.671 ↓ 1.7 587 1

Parallel Seq Scan on datas_part_0000009349 (cost=0.00..86.51 rows=351 width=660) (actual time=0.006..64.671 rows=587 loops=1)

413. 0.571 0.571 ↓ 1.7 585 1

Parallel Seq Scan on datas_part_0000009122 (cost=0.00..86.45 rows=345 width=662) (actual time=0.011..0.571 rows=585 loops=1)

414. 0.586 0.586 ↓ 1.7 699 1

Parallel Seq Scan on datas_part_0000008932 (cost=0.00..86.07 rows=407 width=665) (actual time=0.006..0.586 rows=699 loops=1)

415. 0.578 0.578 ↓ 1.7 671 1

Parallel Seq Scan on datas_part_0000009364 (cost=0.00..85.95 rows=395 width=663) (actual time=0.005..0.578 rows=671 loops=1)

416. 0.600 0.600 ↓ 1.7 654 1

Parallel Seq Scan on datas_part_0000009062 (cost=0.00..85.85 rows=385 width=664) (actual time=0.014..0.600 rows=654 loops=1)

417. 2.665 2.665 ↓ 1.7 653 1

Parallel Seq Scan on datas_part_0000009465 (cost=0.00..85.84 rows=384 width=663) (actual time=0.014..2.665 rows=653 loops=1)

418. 0.589 0.589 ↓ 1.7 652 1

Parallel Seq Scan on datas_part_0000009431 (cost=0.00..85.84 rows=384 width=665) (actual time=0.006..0.589 rows=652 loops=1)

419. 0.649 0.649 ↓ 1.7 651 1

Parallel Seq Scan on datas_part_0000009354 (cost=0.00..85.83 rows=383 width=662) (actual time=0.006..0.649 rows=651 loops=1)

420. 0.729 0.729 ↓ 1.7 642 1

Parallel Seq Scan on datas_part_0000008975 (cost=0.00..85.78 rows=378 width=662) (actual time=0.011..0.729 rows=642 loops=1)

421. 0.996 0.996 ↓ 1.7 639 1

Parallel Seq Scan on datas_part_0000009368 (cost=0.00..85.76 rows=376 width=662) (actual time=0.012..0.996 rows=639 loops=1)

422. 0.669 0.669 ↓ 1.7 639 1

Parallel Seq Scan on datas_part_0000009381 (cost=0.00..85.76 rows=376 width=662) (actual time=0.006..0.669 rows=639 loops=1)

423. 0.537 0.537 ↓ 1.7 638 1

Parallel Seq Scan on datas_part_0000009406 (cost=0.00..85.75 rows=375 width=664) (actual time=0.006..0.537 rows=638 loops=1)

424. 0.642 0.642 ↓ 1.6 615 1

Parallel Seq Scan on datas_part_0000008827 (cost=0.00..85.74 rows=374 width=661) (actual time=0.011..0.642 rows=615 loops=1)

425. 0.544 0.544 ↓ 1.7 613 1

Parallel Seq Scan on datas_part_0000008896 (cost=0.00..85.71 rows=371 width=661) (actual time=0.008..0.544 rows=613 loops=1)

426. 0.561 0.561 ↓ 1.7 631 1

Parallel Seq Scan on datas_part_0000008948 (cost=0.00..85.71 rows=371 width=660) (actual time=0.005..0.561 rows=631 loops=1)

427. 0.518 0.518 ↓ 1.6 612 1

Parallel Seq Scan on datas_part_0000009345 (cost=0.00..85.71 rows=371 width=664) (actual time=0.007..0.518 rows=612 loops=1)

428. 0.516 0.516 ↓ 1.7 605 1

Parallel Seq Scan on datas_part_0000009339 (cost=0.00..85.66 rows=366 width=663) (actual time=0.006..0.516 rows=605 loops=1)

429. 0.526 0.526 ↓ 1.7 613 1

Parallel Seq Scan on datas_part_0000008838 (cost=0.00..85.66 rows=366 width=661) (actual time=0.006..0.526 rows=613 loops=1)

430. 0.539 0.539 ↓ 1.7 608 1

Parallel Seq Scan on datas_part_0000009042 (cost=0.00..85.62 rows=362 width=663) (actual time=0.006..0.539 rows=608 loops=1)

431. 0.552 0.552 ↓ 1.7 585 1

Parallel Seq Scan on datas_part_0000009131 (cost=0.00..85.45 rows=345 width=661) (actual time=0.007..0.552 rows=585 loops=1)

432. 0.552 0.552 ↓ 2.0 621 1

Parallel Seq Scan on datas_part_0000009497 (cost=0.00..85.17 rows=317 width=661) (actual time=0.006..0.552 rows=621 loops=1)

433. 0.597 0.597 ↓ 1.7 708 1

Parallel Seq Scan on datas_part_0000008878 (cost=0.00..85.11 rows=411 width=663) (actual time=0.008..0.597 rows=708 loops=1)

434. 0.603 0.603 ↓ 1.7 692 1

Parallel Seq Scan on datas_part_0000009276 (cost=0.00..85.07 rows=407 width=661) (actual time=0.007..0.603 rows=692 loops=1)

435. 0.640 0.640 ↓ 1.7 691 1

Parallel Seq Scan on datas_part_0000009388 (cost=0.00..85.02 rows=402 width=667) (actual time=0.006..0.640 rows=691 loops=1)

436. 0.751 0.751 ↓ 1.7 653 1

Parallel Seq Scan on datas_part_0000009022 (cost=0.00..84.84 rows=384 width=662) (actual time=0.006..0.751 rows=653 loops=1)

437. 0.553 0.553 ↓ 1.7 654 1

Parallel Seq Scan on datas_part_0000009244 (cost=0.00..84.84 rows=384 width=664) (actual time=0.006..0.553 rows=654 loops=1)

438. 0.553 0.553 ↓ 1.7 652 1

Parallel Seq Scan on datas_part_0000009379 (cost=0.00..84.84 rows=384 width=665) (actual time=0.006..0.553 rows=652 loops=1)

439. 0.524 0.524 ↓ 1.7 650 1

Parallel Seq Scan on datas_part_0000009492 (cost=0.00..84.82 rows=382 width=666) (actual time=0.007..0.524 rows=650 loops=1)

440. 0.539 0.539 ↓ 1.6 615 1

Parallel Seq Scan on datas_part_0000008910 (cost=0.00..84.79 rows=379 width=662) (actual time=0.005..0.539 rows=615 loops=1)

441. 0.519 0.519 ↓ 1.6 618 1

Parallel Seq Scan on datas_part_0000009002 (cost=0.00..84.77 rows=377 width=663) (actual time=0.006..0.519 rows=618 loops=1)

442. 0.553 0.553 ↓ 1.7 639 1

Parallel Seq Scan on datas_part_0000009061 (cost=0.00..84.76 rows=376 width=661) (actual time=0.007..0.553 rows=639 loops=1)

443. 0.530 0.530 ↓ 1.7 636 1

Parallel Seq Scan on datas_part_0000009383 (cost=0.00..84.74 rows=374 width=663) (actual time=0.006..0.530 rows=636 loops=1)

444. 0.520 0.520 ↓ 1.6 616 1

Parallel Seq Scan on datas_part_0000009304 (cost=0.00..84.74 rows=374 width=661) (actual time=0.007..0.520 rows=616 loops=1)

445. 0.530 0.530 ↓ 1.6 609 1

Parallel Seq Scan on datas_part_0000008833 (cost=0.00..84.71 rows=371 width=661) (actual time=0.007..0.530 rows=609 loops=1)

446. 1.361 1.361 ↓ 1.7 630 1

Parallel Seq Scan on datas_part_0000009324 (cost=0.00..84.71 rows=371 width=663) (actual time=0.006..1.361 rows=630 loops=1)

447. 0.707 0.707 ↓ 1.7 618 1

Parallel Seq Scan on datas_part_0000009181 (cost=0.00..84.70 rows=370 width=664) (actual time=0.006..0.707 rows=618 loops=1)

448. 0.537 0.537 ↓ 1.7 619 1

Parallel Seq Scan on datas_part_0000009314 (cost=0.00..84.70 rows=370 width=661) (actual time=0.006..0.537 rows=619 loops=1)

449. 0.526 0.526 ↓ 1.7 618 1

Parallel Seq Scan on datas_part_0000009503 (cost=0.00..84.69 rows=369 width=662) (actual time=0.005..0.526 rows=618 loops=1)

450. 0.629 0.629 ↓ 1.7 636 1

Parallel Seq Scan on datas_part_0000009460 (cost=0.00..84.67 rows=367 width=662) (actual time=0.007..0.629 rows=636 loops=1)

451. 35.179 35.179 ↓ 1.7 604 1

Parallel Seq Scan on datas_part_0000009428 (cost=0.00..84.66 rows=366 width=663) (actual time=0.006..35.179 rows=604 loops=1)

452. 0.493 0.493 ↓ 1.7 612 1

Parallel Seq Scan on datas_part_0000008889 (cost=0.00..84.65 rows=365 width=660) (actual time=0.006..0.493 rows=612 loops=1)

453. 0.538 0.538 ↓ 1.7 609 1

Parallel Seq Scan on datas_part_0000008837 (cost=0.00..84.63 rows=363 width=663) (actual time=0.005..0.538 rows=609 loops=1)

454. 0.549 0.549 ↓ 1.6 595 1

Parallel Seq Scan on datas_part_0000009129 (cost=0.00..84.62 rows=362 width=661) (actual time=0.006..0.549 rows=595 loops=1)

455. 0.526 0.526 ↓ 1.7 602 1

Parallel Seq Scan on datas_part_0000008842 (cost=0.00..84.60 rows=360 width=661) (actual time=0.007..0.526 rows=602 loops=1)

456. 0.547 0.547 ↓ 1.7 598 1

Parallel Seq Scan on datas_part_0000009110 (cost=0.00..84.58 rows=358 width=662) (actual time=0.006..0.547 rows=598 loops=1)

457. 18.931 18.931 ↓ 1.7 582 1

Parallel Seq Scan on datas_part_0000009126 (cost=0.00..84.49 rows=349 width=660) (actual time=0.006..18.931 rows=582 loops=1)

458. 0.481 0.481 ↓ 1.6 570 1

Parallel Seq Scan on datas_part_0000009099 (cost=0.00..84.46 rows=346 width=662) (actual time=0.006..0.481 rows=570 loops=1)

459. 0.521 0.521 ↓ 1.7 582 1

Parallel Seq Scan on datas_part_0000009100 (cost=0.00..84.42 rows=342 width=667) (actual time=0.007..0.521 rows=582 loops=1)

460. 1.522 1.522 ↓ 1.7 566 1

Parallel Seq Scan on datas_part_0000009519 (cost=0.00..84.33 rows=333 width=665) (actual time=0.006..1.522 rows=566 loops=1)

461. 0.849 0.849 ↓ 1.7 670 1

Parallel Seq Scan on datas_part_0000009505 (cost=0.00..83.90 rows=390 width=664) (actual time=0.006..0.849 rows=670 loops=1)

462. 0.644 0.644 ↓ 1.7 658 1

Parallel Seq Scan on datas_part_0000008987 (cost=0.00..83.87 rows=387 width=663) (actual time=0.006..0.644 rows=658 loops=1)

463. 28.643 28.643 ↓ 1.7 653 1

Parallel Seq Scan on datas_part_0000009382 (cost=0.00..83.84 rows=384 width=662) (actual time=0.007..28.643 rows=653 loops=1)

464. 0.537 0.537 ↓ 1.6 618 1

Parallel Seq Scan on datas_part_0000009040 (cost=0.00..83.76 rows=376 width=661) (actual time=0.006..0.537 rows=618 loops=1)

465. 2.297 2.297 ↓ 1.6 616 1

Parallel Seq Scan on datas_part_0000009044 (cost=0.00..83.76 rows=376 width=662) (actual time=0.007..2.297 rows=616 loops=1)

466. 0.507 0.507 ↓ 1.6 618 1

Parallel Seq Scan on datas_part_0000009255 (cost=0.00..83.76 rows=376 width=662) (actual time=0.006..0.507 rows=618 loops=1)

467. 0.594 0.594 ↓ 1.6 617 1

Parallel Seq Scan on datas_part_0000009154 (cost=0.00..83.74 rows=374 width=661) (actual time=0.006..0.594 rows=617 loops=1)

468. 0.566 0.566 ↓ 1.7 634 1

Parallel Seq Scan on datas_part_0000008952 (cost=0.00..83.73 rows=373 width=666) (actual time=0.006..0.566 rows=634 loops=1)

469. 0.512 0.512 ↓ 1.7 634 1

Parallel Seq Scan on datas_part_0000009452 (cost=0.00..83.73 rows=373 width=661) (actual time=0.007..0.512 rows=634 loops=1)

470. 0.669 0.669 ↓ 1.7 619 1

Parallel Seq Scan on datas_part_0000009025 (cost=0.00..83.71 rows=371 width=661) (actual time=0.006..0.669 rows=619 loops=1)

471. 0.676 0.676 ↓ 1.6 611 1

Parallel Seq Scan on datas_part_0000009424 (cost=0.00..83.71 rows=371 width=661) (actual time=0.006..0.676 rows=611 loops=1)

472. 0.517 0.517 ↓ 1.6 601 1

Parallel Seq Scan on datas_part_0000009459 (cost=0.00..83.70 rows=370 width=662) (actual time=0.006..0.517 rows=601 loops=1)

473. 0.711 0.711 ↓ 1.7 614 1

Parallel Seq Scan on datas_part_0000008825 (cost=0.00..83.69 rows=369 width=660) (actual time=0.006..0.711 rows=614 loops=1)

474. 0.526 0.526 ↓ 1.7 617 1

Parallel Seq Scan on datas_part_0000009200 (cost=0.00..83.69 rows=369 width=663) (actual time=0.006..0.526 rows=617 loops=1)

475. 0.677 0.677 ↓ 1.7 616 1

Parallel Seq Scan on datas_part_0000008923 (cost=0.00..83.69 rows=369 width=659) (actual time=0.005..0.677 rows=616 loops=1)

476. 0.606 0.606 ↓ 1.6 603 1

Parallel Seq Scan on datas_part_0000009165 (cost=0.00..83.66 rows=366 width=662) (actual time=0.006..0.606 rows=603 loops=1)

477. 0.520 0.520 ↓ 1.7 609 1

Parallel Seq Scan on datas_part_0000009192 (cost=0.00..83.65 rows=365 width=665) (actual time=0.007..0.520 rows=609 loops=1)

478. 0.569 0.569 ↓ 1.7 636 1

Parallel Seq Scan on datas_part_0000008981 (cost=0.00..83.64 rows=364 width=662) (actual time=0.006..0.569 rows=636 loops=1)

479. 0.648 0.648 ↓ 1.7 602 1

Parallel Seq Scan on datas_part_0000009102 (cost=0.00..83.62 rows=362 width=663) (actual time=0.005..0.648 rows=602 loops=1)

480. 0.611 0.611 ↓ 1.7 600 1

Parallel Seq Scan on datas_part_0000009344 (cost=0.00..83.61 rows=361 width=660) (actual time=0.006..0.611 rows=600 loops=1)

481. 0.552 0.552 ↓ 1.7 598 1

Parallel Seq Scan on datas_part_0000009130 (cost=0.00..83.59 rows=359 width=662) (actual time=0.005..0.552 rows=598 loops=1)

482. 0.677 0.677 ↓ 1.7 596 1

Parallel Seq Scan on datas_part_0000009250 (cost=0.00..83.52 rows=352 width=659) (actual time=0.006..0.677 rows=596 loops=1)

483. 0.466 0.466 ↓ 1.6 575 1

Parallel Seq Scan on datas_part_0000009115 (cost=0.00..83.51 rows=351 width=664) (actual time=0.006..0.466 rows=575 loops=1)

484. 0.522 0.522 ↓ 1.7 583 1

Parallel Seq Scan on datas_part_0000009535 (cost=0.00..83.45 rows=345 width=662) (actual time=0.006..0.522 rows=583 loops=1)

485. 0.623 0.623 ↓ 1.5 652 1

Parallel Seq Scan on datas_part_0000008944 (cost=0.00..83.34 rows=434 width=662) (actual time=0.006..0.623 rows=652 loops=1)

486. 0.659 0.659 ↓ 1.7 676 1

Parallel Seq Scan on datas_part_0000008915 (cost=0.00..82.98 rows=398 width=664) (actual time=0.007..0.659 rows=676 loops=1)

487. 0.540 0.540 ↓ 1.6 629 1

Parallel Seq Scan on datas_part_0000009259 (cost=0.00..82.95 rows=395 width=660) (actual time=0.006..0.540 rows=629 loops=1)

488. 0.660 0.660 ↓ 1.7 667 1

Parallel Seq Scan on datas_part_0000008934 (cost=0.00..82.89 rows=389 width=664) (actual time=0.006..0.660 rows=667 loops=1)

489. 0.624 0.624 ↓ 1.7 659 1

Parallel Seq Scan on datas_part_0000009218 (cost=0.00..82.88 rows=388 width=663) (actual time=0.006..0.624 rows=659 loops=1)

490. 0.640 0.640 ↓ 1.7 648 1

Parallel Seq Scan on datas_part_0000008864 (cost=0.00..82.81 rows=381 width=660) (actual time=0.009..0.640 rows=648 loops=1)

491. 0.555 0.555 ↓ 1.6 617 1

Parallel Seq Scan on datas_part_0000009171 (cost=0.00..82.76 rows=376 width=663) (actual time=0.007..0.555 rows=617 loops=1)

492. 0.544 0.544 ↓ 1.6 608 1

Parallel Seq Scan on datas_part_0000009312 (cost=0.00..82.75 rows=375 width=662) (actual time=0.006..0.544 rows=608 loops=1)

493. 0.620 0.620 ↓ 1.7 652 1

Parallel Seq Scan on datas_part_0000009220 (cost=0.00..82.74 rows=374 width=664) (actual time=0.006..0.620 rows=652 loops=1)

494. 0.616 0.616 ↓ 1.7 615 1

Parallel Seq Scan on datas_part_0000009347 (cost=0.00..82.71 rows=371 width=662) (actual time=0.007..0.616 rows=615 loops=1)

495. 0.570 0.570 ↓ 1.7 616 1

Parallel Seq Scan on datas_part_0000009152 (cost=0.00..82.69 rows=369 width=660) (actual time=0.006..0.570 rows=616 loops=1)

496. 0.591 0.591 ↓ 1.7 612 1

Parallel Seq Scan on datas_part_0000008993 (cost=0.00..82.68 rows=368 width=662) (actual time=0.006..0.591 rows=612 loops=1)

497. 0.501 0.501 ↓ 1.6 606 1

Parallel Seq Scan on datas_part_0000009205 (cost=0.00..82.68 rows=368 width=662) (actual time=0.006..0.501 rows=606 loops=1)

498. 0.796 0.796 ↓ 1.7 612 1

Parallel Seq Scan on datas_part_0000009202 (cost=0.00..82.67 rows=367 width=662) (actual time=0.006..0.796 rows=612 loops=1)

499. 0.578 0.578 ↓ 1.6 600 1

Parallel Seq Scan on datas_part_0000009109 (cost=0.00..82.65 rows=365 width=662) (actual time=0.007..0.578 rows=600 loops=1)

500. 0.542 0.542 ↓ 1.8 634 1

Parallel Seq Scan on datas_part_0000008959 (cost=0.00..82.62 rows=362 width=660) (actual time=0.007..0.542 rows=634 loops=1)

501. 0.507 0.507 ↓ 1.7 603 1

Parallel Seq Scan on datas_part_0000008840 (cost=0.00..82.62 rows=362 width=660) (actual time=0.006..0.507 rows=603 loops=1)

502. 0.514 0.514 ↓ 1.7 603 1

Parallel Seq Scan on datas_part_0000009111 (cost=0.00..82.61 rows=361 width=662) (actual time=0.006..0.514 rows=603 loops=1)

503. 0.569 0.569 ↓ 1.7 596 1

Parallel Seq Scan on datas_part_0000009454 (cost=0.00..82.59 rows=359 width=664) (actual time=0.006..0.569 rows=596 loops=1)

504. 0.499 0.499 ↓ 1.6 587 1

Parallel Seq Scan on datas_part_0000009486 (cost=0.00..82.58 rows=358 width=665) (actual time=0.006..0.499 rows=587 loops=1)

505. 4.265 4.265 ↓ 1.6 579 1

Parallel Seq Scan on datas_part_0000009106 (cost=0.00..82.51 rows=351 width=662) (actual time=0.006..4.265 rows=579 loops=1)

506. 0.549 0.549 ↓ 1.6 575 1

Parallel Seq Scan on datas_part_0000009092 (cost=0.00..82.51 rows=351 width=663) (actual time=0.006..0.549 rows=575 loops=1)

507. 0.513 0.513 ↓ 1.7 573 1

Parallel Seq Scan on datas_part_0000009104 (cost=0.00..82.37 rows=337 width=666) (actual time=0.006..0.513 rows=573 loops=1)

508. 0.539 0.539 ↓ 1.7 657 1

Parallel Seq Scan on datas_part_0000009038 (cost=0.00..81.86 rows=386 width=665) (actual time=0.006..0.539 rows=657 loops=1)

509. 0.562 0.562 ↓ 1.7 656 1

Parallel Seq Scan on datas_part_0000009489 (cost=0.00..81.86 rows=386 width=666) (actual time=0.006..0.562 rows=656 loops=1)

510. 0.560 0.560 ↓ 1.7 654 1

Parallel Seq Scan on datas_part_0000008926 (cost=0.00..81.85 rows=385 width=666) (actual time=0.007..0.560 rows=654 loops=1)

511. 0.676 0.676 ↓ 1.7 650 1

Parallel Seq Scan on datas_part_0000009427 (cost=0.00..81.82 rows=382 width=661) (actual time=0.006..0.676 rows=650 loops=1)

512. 0.566 0.566 ↓ 1.7 646 1

Parallel Seq Scan on datas_part_0000009063 (cost=0.00..81.80 rows=380 width=663) (actual time=0.006..0.566 rows=646 loops=1)

513. 0.520 0.520 ↓ 1.6 612 1

Parallel Seq Scan on datas_part_0000009346 (cost=0.00..81.77 rows=377 width=660) (actual time=0.007..0.520 rows=612 loops=1)

514. 0.507 0.507 ↓ 1.6 616 1

Parallel Seq Scan on datas_part_0000008890 (cost=0.00..81.76 rows=376 width=661) (actual time=0.006..0.507 rows=616 loops=1)

515. 0.532 0.532 ↓ 1.7 639 1

Parallel Seq Scan on datas_part_0000008986 (cost=0.00..81.76 rows=376 width=663) (actual time=0.006..0.532 rows=639 loops=1)

516. 0.565 0.565 ↓ 1.6 614 1

Parallel Seq Scan on datas_part_0000009183 (cost=0.00..81.75 rows=375 width=662) (actual time=0.006..0.565 rows=614 loops=1)

517. 0.561 0.561 ↓ 1.7 621 1

Parallel Seq Scan on datas_part_0000009500 (cost=0.00..81.74 rows=374 width=662) (actual time=0.006..0.561 rows=621 loops=1)

518. 17.477 17.477 ↓ 1.7 631 1

Parallel Seq Scan on datas_part_0000008954 (cost=0.00..81.71 rows=371 width=663) (actual time=0.007..17.477 rows=631 loops=1)

519. 0.554 0.554 ↓ 1.7 615 1

Parallel Seq Scan on datas_part_0000009150 (cost=0.00..81.70 rows=370 width=661) (actual time=0.006..0.554 rows=615 loops=1)

520. 0.529 0.529 ↓ 1.6 606 1

Parallel Seq Scan on datas_part_0000009476 (cost=0.00..81.69 rows=369 width=663) (actual time=0.006..0.529 rows=606 loops=1)

521. 0.738 0.738 ↓ 1.8 648 1

Parallel Seq Scan on datas_part_0000008936 (cost=0.00..81.66 rows=366 width=664) (actual time=0.006..0.738 rows=648 loops=1)

522. 0.495 0.495 ↓ 1.7 604 1

Parallel Seq Scan on datas_part_0000008832 (cost=0.00..81.63 rows=363 width=660) (actual time=0.006..0.495 rows=604 loops=1)

523. 0.549 0.549 ↓ 1.7 603 1

Parallel Seq Scan on datas_part_0000009179 (cost=0.00..81.63 rows=363 width=662) (actual time=0.007..0.549 rows=603 loops=1)

524. 0.490 0.490 ↓ 1.6 584 1

Parallel Seq Scan on datas_part_0000009097 (cost=0.00..81.55 rows=355 width=662) (actual time=0.006..0.490 rows=584 loops=1)

525. 0.607 0.607 ↓ 1.7 585 1

Parallel Seq Scan on datas_part_0000009408 (cost=0.00..81.48 rows=348 width=662) (actual time=0.006..0.607 rows=585 loops=1)

526. 0.579 0.579 ↓ 1.7 693 1

Parallel Seq Scan on datas_part_0000009512 (cost=0.00..81.08 rows=408 width=666) (actual time=0.008..0.579 rows=693 loops=1)

527. 0.602 0.602 ↓ 1.7 658 1

Parallel Seq Scan on datas_part_0000009488 (cost=0.00..80.87 rows=387 width=665) (actual time=0.006..0.602 rows=658 loops=1)

528. 0.579 0.579 ↓ 1.7 654 1

Parallel Seq Scan on datas_part_0000008997 (cost=0.00..80.85 rows=385 width=664) (actual time=0.008..0.579 rows=654 loops=1)

529. 0.700 0.700 ↓ 1.7 640 1

Parallel Seq Scan on datas_part_0000008940 (cost=0.00..80.76 rows=376 width=664) (actual time=0.008..0.700 rows=640 loops=1)

530. 0.518 0.518 ↓ 1.7 640 1

Parallel Seq Scan on datas_part_0000009404 (cost=0.00..80.76 rows=376 width=664) (actual time=0.006..0.518 rows=640 loops=1)

531. 6.534 6.534 ↓ 1.6 613 1

Parallel Seq Scan on datas_part_0000009047 (cost=0.00..80.75 rows=375 width=661) (actual time=0.006..6.534 rows=613 loops=1)

532. 0.606 0.606 ↓ 1.6 613 1

Parallel Seq Scan on datas_part_0000009398 (cost=0.00..80.75 rows=375 width=663) (actual time=0.006..0.606 rows=613 loops=1)

533. 0.527 0.527 ↓ 1.7 615 1

Parallel Seq Scan on datas_part_0000008831 (cost=0.00..80.72 rows=372 width=661) (actual time=0.006..0.527 rows=615 loops=1)

534. 0.525 0.525 ↓ 1.7 632 1

Parallel Seq Scan on datas_part_0000008931 (cost=0.00..80.72 rows=372 width=663) (actual time=0.006..0.525 rows=632 loops=1)

535. 0.535 0.535 ↓ 1.7 615 1

Parallel Seq Scan on datas_part_0000009186 (cost=0.00..80.71 rows=371 width=663) (actual time=0.007..0.535 rows=615 loops=1)

536. 0.630 0.630 ↓ 1.7 630 1

Parallel Seq Scan on datas_part_0000008955 (cost=0.00..80.71 rows=371 width=662) (actual time=0.007..0.630 rows=630 loops=1)

537. 0.522 0.522 ↓ 1.7 615 1

Parallel Seq Scan on datas_part_0000009043 (cost=0.00..80.71 rows=371 width=663) (actual time=0.007..0.522 rows=615 loops=1)

538. 0.506 0.506 ↓ 1.7 600 1

Parallel Seq Scan on datas_part_0000009300 (cost=0.00..80.62 rows=362 width=661) (actual time=0.006..0.506 rows=600 loops=1)

539. 0.677 0.677 ↓ 1.7 619 1

Parallel Seq Scan on datas_part_0000009356 (cost=0.00..80.55 rows=355 width=663) (actual time=0.006..0.677 rows=619 loops=1)

540. 0.498 0.498 ↓ 1.7 578 1

Parallel Seq Scan on datas_part_0000009119 (cost=0.00..80.49 rows=349 width=663) (actual time=0.007..0.498 rows=578 loops=1)

541. 0.495 0.495 ↓ 1.8 606 1

Parallel Seq Scan on datas_part_0000008907 (cost=0.00..80.31 rows=331 width=662) (actual time=0.007..0.495 rows=606 loops=1)

542. 16.670 16.670 ↓ 1.7 679 1

Parallel Seq Scan on datas_part_0000009482 (cost=0.00..79.99 rows=399 width=665) (actual time=0.007..16.670 rows=679 loops=1)

543. 49.647 49.647 ↓ 1.7 657 1

Parallel Seq Scan on datas_part_0000009225 (cost=0.00..79.86 rows=386 width=663) (actual time=0.006..49.647 rows=657 loops=1)

544. 0.522 0.522 ↓ 1.7 655 1

Parallel Seq Scan on datas_part_0000009456 (cost=0.00..79.85 rows=385 width=663) (actual time=0.006..0.522 rows=655 loops=1)

545. 0.569 0.569 ↓ 1.6 623 1

Parallel Seq Scan on datas_part_0000009298 (cost=0.00..79.82 rows=382 width=662) (actual time=0.005..0.569 rows=623 loops=1)

546. 0.597 0.597 ↓ 1.6 614 1

Parallel Seq Scan on datas_part_0000009443 (cost=0.00..79.81 rows=381 width=662) (actual time=0.006..0.597 rows=614 loops=1)

547. 0.536 0.536 ↓ 1.6 618 1

Parallel Seq Scan on datas_part_0000009196 (cost=0.00..79.81 rows=381 width=661) (actual time=0.006..0.536 rows=618 loops=1)

548. 0.604 0.604 ↓ 1.6 611 1

Parallel Seq Scan on datas_part_0000009520 (cost=0.00..79.79 rows=379 width=665) (actual time=0.006..0.604 rows=611 loops=1)

549. 4.737 4.737 ↓ 1.7 641 1

Parallel Seq Scan on datas_part_0000008958 (cost=0.00..79.77 rows=377 width=662) (actual time=0.006..4.737 rows=641 loops=1)

550. 0.703 0.703 ↓ 1.6 614 1

Parallel Seq Scan on datas_part_0000009210 (cost=0.00..79.77 rows=377 width=662) (actual time=0.006..0.703 rows=614 loops=1)

551. 0.502 0.502 ↓ 1.6 614 1

Parallel Seq Scan on datas_part_0000009277 (cost=0.00..79.75 rows=375 width=662) (actual time=0.006..0.502 rows=614 loops=1)

552. 0.569 0.569 ↓ 1.6 605 1

Parallel Seq Scan on datas_part_0000008829 (cost=0.00..79.74 rows=374 width=659) (actual time=0.005..0.569 rows=605 loops=1)

553. 0.542 0.542 ↓ 1.7 621 1

Parallel Seq Scan on datas_part_0000008830 (cost=0.00..79.74 rows=374 width=661) (actual time=0.007..0.542 rows=621 loops=1)

554. 0.568 0.568 ↓ 1.6 612 1

Parallel Seq Scan on datas_part_0000009467 (cost=0.00..79.72 rows=372 width=661) (actual time=0.007..0.568 rows=612 loops=1)

555. 0.568 0.568 ↓ 1.6 600 1

Parallel Seq Scan on datas_part_0000009294 (cost=0.00..79.68 rows=368 width=657) (actual time=0.006..0.568 rows=600 loops=1)

556. 0.560 0.560 ↓ 1.6 578 1

Parallel Seq Scan on datas_part_0000009264 (cost=0.00..79.54 rows=354 width=659) (actual time=0.006..0.560 rows=578 loops=1)

557. 0.512 0.512 ↓ 1.6 574 1

Parallel Seq Scan on datas_part_0000009117 (cost=0.00..79.52 rows=352 width=662) (actual time=0.006..0.512 rows=574 loops=1)

558. 0.497 0.497 ↓ 1.6 571 1

Parallel Seq Scan on datas_part_0000009096 (cost=0.00..79.50 rows=350 width=660) (actual time=0.006..0.497 rows=571 loops=1)

559. 0.663 0.663 ↓ 1.7 619 1

Parallel Seq Scan on datas_part_0000008884 (cost=0.00..78.75 rows=375 width=662) (actual time=0.006..0.663 rows=619 loops=1)

560. 0.502 0.502 ↓ 1.7 637 1

Parallel Seq Scan on datas_part_0000009525 (cost=0.00..78.75 rows=375 width=661) (actual time=0.006..0.502 rows=637 loops=1)

561. 0.681 0.681 ↓ 1.6 617 1

Parallel Seq Scan on datas_part_0000009039 (cost=0.00..78.74 rows=374 width=663) (actual time=0.006..0.681 rows=617 loops=1)

562. 48.762 48.762 ↓ 1.6 614 1

Parallel Seq Scan on datas_part_0000009193 (cost=0.00..78.74 rows=374 width=666) (actual time=0.006..48.762 rows=614 loops=1)

563. 0.512 0.512 ↓ 1.6 616 1

Parallel Seq Scan on datas_part_0000008989 (cost=0.00..78.74 rows=374 width=660) (actual time=0.006..0.512 rows=616 loops=1)

564. 0.457 0.457 ↓ 1.6 581 1

Parallel Seq Scan on datas_part_0000009516 (cost=0.00..78.62 rows=362 width=665) (actual time=0.006..0.457 rows=581 loops=1)

565. 0.783 0.783 ↓ 1.7 587 1

Parallel Seq Scan on datas_part_0000009328 (cost=0.00..78.45 rows=345 width=663) (actual time=0.007..0.783 rows=587 loops=1)

566. 0.645 0.645 ↓ 1.7 571 1

Parallel Seq Scan on datas_part_0000009024 (cost=0.00..78.36 rows=336 width=661) (actual time=0.005..0.645 rows=571 loops=1)

567. 0.587 0.587 ↓ 1.6 634 1

Parallel Seq Scan on datas_part_0000009033 (cost=0.00..77.91 rows=391 width=661) (actual time=0.006..0.587 rows=634 loops=1)

568. 0.611 0.611 ↓ 1.6 627 1

Parallel Seq Scan on datas_part_0000009009 (cost=0.00..77.87 rows=387 width=662) (actual time=0.006..0.611 rows=627 loops=1)

569. 0.574 0.574 ↓ 1.6 607 1

Parallel Seq Scan on datas_part_0000009211 (cost=0.00..77.78 rows=378 width=661) (actual time=0.007..0.574 rows=607 loops=1)

570. 0.563 0.563 ↓ 1.6 612 1

Parallel Seq Scan on datas_part_0000009204 (cost=0.00..77.76 rows=376 width=662) (actual time=0.006..0.563 rows=612 loops=1)

571. 124.292 124.292 ↓ 1.6 615 1

Parallel Seq Scan on datas_part_0000009208 (cost=0.00..77.74 rows=374 width=663) (actual time=0.005..124.292 rows=615 loops=1)

572. 0.527 0.527 ↓ 1.7 625 1

Parallel Seq Scan on datas_part_0000009508 (cost=0.00..77.68 rows=368 width=661) (actual time=0.006..0.527 rows=625 loops=1)

573. 0.505 0.505 ↓ 1.6 595 1

Parallel Seq Scan on datas_part_0000008841 (cost=0.00..77.61 rows=361 width=661) (actual time=0.006..0.505 rows=595 loops=1)

574. 0.498 0.498 ↓ 1.6 568 1

Parallel Seq Scan on datas_part_0000009053 (cost=0.00..77.52 rows=352 width=665) (actual time=0.007..0.498 rows=568 loops=1)

575. 0.496 0.496 ↓ 1.7 575 1

Parallel Seq Scan on datas_part_0000008965 (cost=0.00..77.38 rows=338 width=660) (actual time=0.006..0.496 rows=575 loops=1)

576. 0.652 0.652 ↓ 1.9 605 1

Parallel Seq Scan on datas_part_0000009498 (cost=0.00..77.13 rows=313 width=662) (actual time=0.006..0.652 rows=605 loops=1)

577. 0.507 0.507 ↓ 1.6 613 1

Parallel Seq Scan on datas_part_0000009176 (cost=0.00..76.84 rows=384 width=664) (actual time=0.006..0.507 rows=613 loops=1)

578. 0.532 0.532 ↓ 1.6 606 1

Parallel Seq Scan on datas_part_0000009201 (cost=0.00..76.69 rows=369 width=663) (actual time=0.006..0.532 rows=606 loops=1)

579. 0.568 0.568 ↓ 1.6 585 1

Parallel Seq Scan on datas_part_0000009090 (cost=0.00..76.61 rows=361 width=661) (actual time=0.006..0.568 rows=585 loops=1)

580. 6.843 6.843 ↓ 1.6 578 1

Parallel Seq Scan on datas_part_0000009118 (cost=0.00..76.58 rows=358 width=661) (actual time=0.005..6.843 rows=578 loops=1)

581. 0.468 0.468 ↓ 1.6 580 1

Parallel Seq Scan on datas_part_0000009124 (cost=0.00..76.58 rows=358 width=661) (actual time=0.007..0.468 rows=580 loops=1)

582. 0.565 0.565 ↓ 1.7 579 1

Parallel Seq Scan on datas_part_0000009105 (cost=0.00..76.49 rows=349 width=660) (actual time=0.006..0.565 rows=579 loops=1)

583. 0.607 0.607 ↓ 1.8 612 1

Parallel Seq Scan on datas_part_0000009191 (cost=0.00..76.32 rows=332 width=662) (actual time=0.006..0.607 rows=612 loops=1)

584. 6.153 6.153 ↓ 1.6 629 1

Parallel Seq Scan on datas_part_0000009409 (cost=0.00..75.91 rows=391 width=661) (actual time=0.007..6.153 rows=629 loops=1)

585. 0.570 0.570 ↓ 1.7 646 1

Parallel Seq Scan on datas_part_0000009223 (cost=0.00..75.80 rows=380 width=663) (actual time=0.006..0.570 rows=646 loops=1)

586. 0.524 0.524 ↓ 1.6 619 1

Parallel Seq Scan on datas_part_0000009271 (cost=0.00..75.78 rows=378 width=664) (actual time=0.006..0.524 rows=619 loops=1)

587. 0.540 0.540 ↓ 1.6 615 1

Parallel Seq Scan on datas_part_0000009198 (cost=0.00..75.78 rows=378 width=662) (actual time=0.006..0.540 rows=615 loops=1)

588. 0.514 0.514 ↓ 1.6 617 1

Parallel Seq Scan on datas_part_0000009231 (cost=0.00..75.77 rows=377 width=659) (actual time=0.006..0.514 rows=617 loops=1)

589. 0.479 0.479 ↓ 1.6 580 1

Parallel Seq Scan on datas_part_0000009397 (cost=0.00..75.59 rows=359 width=662) (actual time=0.006..0.479 rows=580 loops=1)

590. 0.506 0.506 ↓ 1.7 594 1

Parallel Seq Scan on datas_part_0000009521 (cost=0.00..75.57 rows=357 width=660) (actual time=0.005..0.506 rows=594 loops=1)

591. 0.517 0.517 ↓ 1.6 579 1

Parallel Seq Scan on datas_part_0000008895 (cost=0.00..75.55 rows=355 width=662) (actual time=0.006..0.517 rows=579 loops=1)

592. 0.488 0.488 ↓ 1.7 585 1

Parallel Seq Scan on datas_part_0000009128 (cost=0.00..75.53 rows=353 width=661) (actual time=0.006..0.488 rows=585 loops=1)

593. 0.507 0.507 ↓ 1.6 575 1

Parallel Seq Scan on datas_part_0000009337 (cost=0.00..75.49 rows=349 width=660) (actual time=0.006..0.507 rows=575 loops=1)

594. 1.144 1.144 ↓ 1.7 657 1

Parallel Seq Scan on datas_part_0000009513 (cost=0.00..74.86 rows=386 width=665) (actual time=0.006..1.144 rows=657 loops=1)

595. 0.543 0.543 ↓ 1.7 654 1

Parallel Seq Scan on datas_part_0000009464 (cost=0.00..74.85 rows=385 width=666) (actual time=0.006..0.543 rows=654 loops=1)

596. 0.542 0.542 ↓ 1.6 615 1

Parallel Seq Scan on datas_part_0000008843 (cost=0.00..74.80 rows=380 width=662) (actual time=0.006..0.542 rows=615 loops=1)

597. 1.442 1.442 ↓ 1.6 611 1

Parallel Seq Scan on datas_part_0000008909 (cost=0.00..74.80 rows=380 width=659) (actual time=0.007..1.442 rows=611 loops=1)

598. 1.483 1.483 ↓ 1.6 612 1

Parallel Seq Scan on datas_part_0000009207 (cost=0.00..74.77 rows=377 width=667) (actual time=0.005..1.483 rows=612 loops=1)

599. 0.580 0.580 ↓ 1.6 616 1

Parallel Seq Scan on datas_part_0000009268 (cost=0.00..74.77 rows=377 width=660) (actual time=0.009..0.580 rows=616 loops=1)

600. 0.531 0.531 ↓ 1.6 608 1

Parallel Seq Scan on datas_part_0000009531 (cost=0.00..74.75 rows=375 width=661) (actual time=0.005..0.531 rows=608 loops=1)

601. 0.592 0.592 ↓ 1.7 623 1

Parallel Seq Scan on datas_part_0000009222 (cost=0.00..74.62 rows=362 width=660) (actual time=0.006..0.592 rows=623 loops=1)

602. 0.512 0.512 ↓ 1.6 579 1

Parallel Seq Scan on datas_part_0000009121 (cost=0.00..74.58 rows=358 width=662) (actual time=0.006..0.512 rows=579 loops=1)

603. 0.498 0.498 ↓ 1.6 582 1

Parallel Seq Scan on datas_part_0000009108 (cost=0.00..74.56 rows=356 width=661) (actual time=0.006..0.498 rows=582 loops=1)

604. 0.604 0.604 ↓ 1.6 618 1

Parallel Seq Scan on datas_part_0000008885 (cost=0.00..73.94 rows=394 width=660) (actual time=0.006..0.604 rows=618 loops=1)

605. 0.597 0.597 ↓ 1.7 666 1

Parallel Seq Scan on datas_part_0000009219 (cost=0.00..73.92 rows=392 width=662) (actual time=0.007..0.597 rows=666 loops=1)

606. 3.078 3.078 ↓ 1.6 618 1

Parallel Seq Scan on datas_part_0000009187 (cost=0.00..73.81 rows=381 width=664) (actual time=0.006..3.078 rows=618 loops=1)

607. 0.834 0.834 ↓ 1.6 619 1

Parallel Seq Scan on datas_part_0000009189 (cost=0.00..73.81 rows=381 width=660) (actual time=0.005..0.834 rows=619 loops=1)

608. 0.511 0.511 ↓ 1.6 615 1

Parallel Seq Scan on datas_part_0000009484 (cost=0.00..73.79 rows=379 width=663) (actual time=0.006..0.511 rows=615 loops=1)

609. 0.507 0.507 ↓ 1.6 614 1

Parallel Seq Scan on datas_part_0000009018 (cost=0.00..73.77 rows=377 width=661) (actual time=0.006..0.507 rows=614 loops=1)

610. 0.579 0.579 ↓ 1.6 613 1

Parallel Seq Scan on datas_part_0000009020 (cost=0.00..73.76 rows=376 width=662) (actual time=0.005..0.579 rows=613 loops=1)

611. 0.475 0.475 ↓ 1.7 609 1

Parallel Seq Scan on datas_part_0000009309 (cost=0.00..73.58 rows=358 width=660) (actual time=0.006..0.475 rows=609 loops=1)

612. 0.484 0.484 ↓ 1.7 580 1

Parallel Seq Scan on datas_part_0000009533 (cost=0.00..73.51 rows=351 width=664) (actual time=0.006..0.484 rows=580 loops=1)

613. 1.157 1.157 ↓ 1.6 622 1

Parallel Seq Scan on datas_part_0000009494 (cost=0.00..72.89 rows=389 width=661) (actual time=0.006..1.157 rows=622 loops=1)

614. 0.558 0.558 ↓ 1.6 614 1

Parallel Seq Scan on datas_part_0000008886 (cost=0.00..72.87 rows=387 width=660) (actual time=0.006..0.558 rows=614 loops=1)

615. 0.527 0.527 ↓ 1.6 616 1

Parallel Seq Scan on datas_part_0000009455 (cost=0.00..72.86 rows=386 width=660) (actual time=0.007..0.527 rows=616 loops=1)

616. 0.552 0.552 ↓ 1.7 650 1

Parallel Seq Scan on datas_part_0000008994 (cost=0.00..72.82 rows=382 width=663) (actual time=0.008..0.552 rows=650 loops=1)

617. 0.532 0.532 ↓ 1.7 636 1

Parallel Seq Scan on datas_part_0000009458 (cost=0.00..72.75 rows=375 width=661) (actual time=0.006..0.532 rows=636 loops=1)

618. 1.783 1.783 ↓ 1.6 606 1

Parallel Seq Scan on datas_part_0000009514 (cost=0.00..72.75 rows=375 width=659) (actual time=0.006..1.783 rows=606 loops=1)

619. 0.519 0.519 ↓ 1.6 578 1

Parallel Seq Scan on datas_part_0000009530 (cost=0.00..72.61 rows=361 width=665) (actual time=0.006..0.519 rows=578 loops=1)

620. 0.480 0.480 ↓ 1.6 582 1

Parallel Seq Scan on datas_part_0000009534 (cost=0.00..72.61 rows=361 width=664) (actual time=0.006..0.480 rows=582 loops=1)

621. 0.527 0.527 ↓ 1.6 619 1

Parallel Seq Scan on datas_part_0000009305 (cost=0.00..71.89 rows=389 width=660) (actual time=0.006..0.527 rows=619 loops=1)

622. 0.537 0.537 ↓ 1.6 616 1

Parallel Seq Scan on datas_part_0000009184 (cost=0.00..71.88 rows=388 width=662) (actual time=0.006..0.537 rows=616 loops=1)

623. 9.303 9.303 ↓ 1.6 628 1

Parallel Seq Scan on datas_part_0000009315 (cost=0.00..71.88 rows=388 width=663) (actual time=0.006..9.303 rows=628 loops=1)

624. 0.520 0.520 ↓ 1.7 650 1

Parallel Seq Scan on datas_part_0000008854 (cost=0.00..71.82 rows=382 width=663) (actual time=0.006..0.520 rows=650 loops=1)

625. 0.608 0.608 ↓ 1.6 614 1

Parallel Seq Scan on datas_part_0000009178 (cost=0.00..71.81 rows=381 width=666) (actual time=0.006..0.608 rows=614 loops=1)

626. 0.537 0.537 ↓ 1.7 635 1

Parallel Seq Scan on datas_part_0000009076 (cost=0.00..71.74 rows=374 width=663) (actual time=0.007..0.537 rows=635 loops=1)

627. 0.521 0.521 ↓ 1.7 633 1

Parallel Seq Scan on datas_part_0000009216 (cost=0.00..71.72 rows=372 width=658) (actual time=0.007..0.521 rows=633 loops=1)

628. 5.883 5.883 ↓ 1.6 595 1

Parallel Seq Scan on datas_part_0000009523 (cost=0.00..71.70 rows=370 width=660) (actual time=0.007..5.883 rows=595 loops=1)

629. 0.569 0.569 ↓ 1.7 629 1

Parallel Seq Scan on datas_part_0000008956 (cost=0.00..71.67 rows=367 width=663) (actual time=0.006..0.569 rows=629 loops=1)

630. 0.525 0.525 ↓ 1.7 623 1

Parallel Seq Scan on datas_part_0000009237 (cost=0.00..71.64 rows=364 width=661) (actual time=0.007..0.525 rows=623 loops=1)

631. 0.644 0.644 ↓ 1.9 654 1

Parallel Seq Scan on datas_part_0000009422 (cost=0.00..71.36 rows=336 width=663) (actual time=0.006..0.644 rows=654 loops=1)

632. 0.537 0.537 ↓ 1.7 658 1

Parallel Seq Scan on datas_part_0000008957 (cost=0.00..70.87 rows=387 width=666) (actual time=0.006..0.537 rows=658 loops=1)

633. 1.714 1.714 ↓ 1.7 658 1

Parallel Seq Scan on datas_part_0000009221 (cost=0.00..70.87 rows=387 width=663) (actual time=0.006..1.714 rows=658 loops=1)

634. 0.501 0.501 ↓ 1.6 618 1

Parallel Seq Scan on datas_part_0000009479 (cost=0.00..70.84 rows=384 width=664) (actual time=0.005..0.501 rows=618 loops=1)

635. 0.518 0.518 ↓ 1.6 614 1

Parallel Seq Scan on datas_part_0000008834 (cost=0.00..70.81 rows=381 width=661) (actual time=0.006..0.518 rows=614 loops=1)

636. 2.140 2.140 ↓ 1.6 610 1

Parallel Seq Scan on datas_part_0000009203 (cost=0.00..70.79 rows=379 width=663) (actual time=0.006..2.140 rows=610 loops=1)

637. 0.535 0.535 ↓ 1.6 602 1

Parallel Seq Scan on datas_part_0000009326 (cost=0.00..70.75 rows=375 width=661) (actual time=0.006..0.535 rows=602 loops=1)

638. 0.578 0.578 ↓ 1.7 630 1

Parallel Seq Scan on datas_part_0000009242 (cost=0.00..70.73 rows=373 width=662) (actual time=0.007..0.578 rows=630 loops=1)

639. 0.522 0.522 ↓ 1.7 631 1

Parallel Seq Scan on datas_part_0000009064 (cost=0.00..70.71 rows=371 width=664) (actual time=0.006..0.522 rows=631 loops=1)

640. 0.636 0.636 ↓ 1.6 597 1

Parallel Seq Scan on datas_part_0000009329 (cost=0.00..70.71 rows=371 width=660) (actual time=0.005..0.636 rows=597 loops=1)

641. 0.458 0.458 ↓ 1.6 586 1

Parallel Seq Scan on datas_part_0000009012 (cost=0.00..70.64 rows=364 width=660) (actual time=0.006..0.458 rows=586 loops=1)

642. 1.964 1.964 ↓ 1.6 584 1

Parallel Seq Scan on datas_part_0000009089 (cost=0.00..70.57 rows=357 width=661) (actual time=0.007..1.964 rows=584 loops=1)

643. 0.506 0.506 ↓ 1.6 608 1

Parallel Seq Scan on datas_part_0000009502 (cost=0.00..69.78 rows=378 width=665) (actual time=0.007..0.506 rows=608 loops=1)

644. 0.501 0.501 ↓ 1.6 605 1

Parallel Seq Scan on datas_part_0000009528 (cost=0.00..69.75 rows=375 width=661) (actual time=0.007..0.501 rows=605 loops=1)

645. 0.649 0.649 ↓ 1.6 599 1

Parallel Seq Scan on datas_part_0000009334 (cost=0.00..69.74 rows=374 width=660) (actual time=0.007..0.649 rows=599 loops=1)

646. 0.571 0.571 ↓ 1.7 635 1

Parallel Seq Scan on datas_part_0000009401 (cost=0.00..69.74 rows=374 width=663) (actual time=0.006..0.571 rows=635 loops=1)

647. 0.505 0.505 ↓ 1.6 596 1

Parallel Seq Scan on datas_part_0000009228 (cost=0.00..69.66 rows=366 width=662) (actual time=0.006..0.505 rows=596 loops=1)

648. 0.487 0.487 ↓ 1.6 589 1

Parallel Seq Scan on datas_part_0000009342 (cost=0.00..69.61 rows=361 width=658) (actual time=0.006..0.487 rows=589 loops=1)

649. 0.533 0.533 ↓ 1.8 619 1

Parallel Seq Scan on datas_part_0000009005 (cost=0.00..69.36 rows=336 width=662) (actual time=0.006..0.533 rows=619 loops=1)

650. 0.485 0.485 ↓ 1.9 616 1

Parallel Seq Scan on datas_part_0000009506 (cost=0.00..69.24 rows=324 width=661) (actual time=0.007..0.485 rows=616 loops=1)

651. 0.482 0.482 ↓ 1.6 600 1

Parallel Seq Scan on datas_part_0000009343 (cost=0.00..68.76 rows=376 width=660) (actual time=0.006..0.482 rows=600 loops=1)

652. 7.998 7.998 ↓ 1.6 598 1

Parallel Seq Scan on datas_part_0000009016 (cost=0.00..68.72 rows=372 width=663) (actual time=0.007..7.998 rows=598 loops=1)

653. 0.640 0.640 ↓ 1.7 609 1

Parallel Seq Scan on datas_part_0000009450 (cost=0.00..68.49 rows=349 width=664) (actual time=0.006..0.640 rows=609 loops=1)

654. 0.790 0.790 ↓ 1.9 624 1

Parallel Seq Scan on datas_part_0000009453 (cost=0.00..68.35 rows=335 width=662) (actual time=0.005..0.790 rows=624 loops=1)

655. 4.594 4.594 ↓ 1.6 581 1

Parallel Seq Scan on datas_part_0000009114 (cost=0.00..67.64 rows=364 width=665) (actual time=0.007..4.594 rows=581 loops=1)

656. 0.519 0.519 ↓ 1.7 633 1

Parallel Seq Scan on datas_part_0000009066 (cost=0.00..66.72 rows=372 width=662) (actual time=0.006..0.519 rows=633 loops=1)

657. 0.540 0.540 ↓ 1.6 589 1

Parallel Seq Scan on datas_part_0000009338 (cost=0.00..66.70 rows=370 width=662) (actual time=0.006..0.540 rows=589 loops=1)

658. 0.528 0.528 ↓ 1.6 574 1

Parallel Seq Scan on datas_part_0000009410 (cost=0.00..66.61 rows=361 width=662) (actual time=0.006..0.528 rows=574 loops=1)

659. 0.432 0.432 ↓ 1.6 415 1

Parallel Seq Scan on datas_part_0000009059 (cost=0.00..60.53 rows=253 width=654) (actual time=0.005..0.432 rows=415 loops=1)

660. 0.313 0.313 ↓ 1.7 372 1

Parallel Seq Scan on datas_part_0000009014 (cost=0.00..53.15 rows=215 width=649) (actual time=0.005..0.313 rows=372 loops=1)

661. 0.011 0.011 ↓ 2.3 14 1

Parallel Seq Scan on datas_part_default_tab (cost=0.00..1.06 rows=6 width=677) (actual time=0.004..0.011 rows=14 loops=1)

662. 0.013 0.013 ↓ 16.0 16 1

Parallel Seq Scan on datas_part_0000008961 (cost=0.00..1.01 rows=1 width=656) (actual time=0.005..0.013 rows=16 loops=1)

663. 0.015 0.015 ↓ 16.0 16 1

Parallel Seq Scan on datas_part_0000009195 (cost=0.00..1.01 rows=1 width=654) (actual time=0.006..0.015 rows=16 loops=1)

664. 0.006 0.019 ↑ 1.0 2 2

Hash (cost=1.02..1.02 rows=2 width=41) (actual time=0.018..0.019 rows=2 loops=2)

  • Buckets: 1024 Batches: 1 Memory Usage: 9kB
665. 0.013 0.013 ↑ 1.0 2 2

Seq Scan on reception_modes (cost=0.00..1.02 rows=2 width=41) (actual time=0.012..0.013 rows=2 loops=2)

666. 0.007 0.023 ↑ 1.0 17 2

Hash (cost=1.17..1.17 rows=17 width=73) (actual time=0.023..0.023 rows=17 loops=2)

  • Buckets: 1024 Batches: 1 Memory Usage: 10kB
667. 0.016 0.016 ↑ 1.0 17 2

Seq Scan on statustypes (cost=0.00..1.17 rows=17 width=73) (actual time=0.012..0.016 rows=17 loops=2)

668. 0.042 0.130 ↑ 1.0 156 2

Hash (cost=6.56..6.56 rows=156 width=39) (actual time=0.130..0.130 rows=156 loops=2)

  • Buckets: 1024 Batches: 1 Memory Usage: 20kB
669. 0.088 0.088 ↑ 1.0 156 2

Seq Scan on eventtypes (cost=0.00..6.56 rows=156 width=39) (actual time=0.014..0.088 rows=156 loops=2)

670. 0.005 0.005 ↑ 1.0 1 416,748

Index Scan using accounts__pkey1 on accounts (cost=0.28..0.29 rows=1 width=49) (actual time=0.005..0.005 rows=1 loops=416,748)

  • Index Cond: (idaccount = datas_part_0000009257.idaccount)
671. 0.009 0.035 ↑ 1.0 4 2

Hash (cost=1.04..1.04 rows=4 width=40) (actual time=0.035..0.035 rows=4 loops=2)

  • Buckets: 1024 Batches: 1 Memory Usage: 9kB
672. 0.026 0.026 ↑ 1.0 4 2

Seq Scan on account_states (cost=0.00..1.04 rows=4 width=40) (actual time=0.025..0.026 rows=4 loops=2)

673.          

SubPlan (forGather)

674. 0.003 0.013 ↑ 2.0 1 416,748

Result (cost=0.00..2.54 rows=2 width=32) (actual time=0.012..0.013 rows=1 loops=416,748)

675. 0.003 0.010 ↑ 2.0 1 416,748

Append (cost=0.00..2.50 rows=2 width=79) (actual time=0.009..0.010 rows=1 loops=416,748)

676. 0.000 0.000 ↓ 0.0 0 416,748

Seq Scan on equipments (cost=0.00..0.00 rows=1 width=96) (actual time=0.000..0.000 rows=0 loops=416,748)

  • Filter: (idequipment = datas_part_0000009257.idequipment)
677. 0.007 0.007 ↑ 1.0 1 416,748

Index Scan using network_devices_2_pkey on network_devices (cost=0.28..2.49 rows=1 width=62) (actual time=0.006..0.007 rows=1 loops=416,748)

  • Index Cond: (idequipment = datas_part_0000009257.idequipment)
Planning time : 31,632.942 ms