explain.depesz.com

PostgreSQL's explain analyze made readable

Result: EPIS

Settings
# exclusive inclusive rows x rows loops node
1. 0.357 904.180 ↓ 51.0 51 1

Nested Loop (cost=45,760.10..167,510.89 rows=1 width=931) (actual time=54.177..904.180 rows=51 loops=1)

2. 0.152 903.211 ↓ 51.0 51 1

Nested Loop (cost=45,759.97..167,508.18 rows=1 width=835) (actual time=54.129..903.211 rows=51 loops=1)

3. 170.186 902.753 ↓ 51.0 51 1

Hash Join (cost=45,759.69..167,507.88 rows=1 width=802) (actual time=54.095..902.753 rows=51 loops=1)

  • Hash Cond: ((datas_part_0000008825.idaccount = datas_part_0000008825_1.idaccount) AND (datas_part_0000008825.idstatustype = statustypes.idstatustype) AND (datas_part_0000008825.ideventtype = eventtypes.ideventtype) AND (datas_part_0000008825.source = datas_part_0000008825_1.source) AND (datas_part_0000008825.idequipment = datas_part_0000008825_1.idequipment))
4. 219.088 730.187 ↓ 101.0 832,271 1

Hash Join (cost=1.04..121,028.31 rows=8,239 width=698) (actual time=0.085..730.187 rows=832,271 loops=1)

  • Hash Cond: (datas_part_0000008825.idreceptionmode = reception_modes.idreceptionmode)
5. 85.794 511.083 ↓ 1.0 832,271 1

Append (cost=0.00..118,818.82 rows=823,855 width=665) (actual time=0.049..511.083 rows=832,271 loops=1)

6. 0.687 0.687 ↓ 1.0 1,317 1

Seq Scan on datas_part_0000008825 (cost=0.00..167.09 rows=1,309 width=664) (actual time=0.048..0.687 rows=1,317 loops=1)

7. 0.677 0.677 ↓ 1.0 1,311 1

Seq Scan on datas_part_0000008826 (cost=0.00..175.07 rows=1,307 width=664) (actual time=0.036..0.677 rows=1,311 loops=1)

8. 0.634 0.634 ↓ 1.0 1,326 1

Seq Scan on datas_part_0000008827 (cost=0.00..183.17 rows=1,317 width=665) (actual time=0.014..0.634 rows=1,326 loops=1)

9. 0.685 0.685 ↑ 1.0 1,327 1

Seq Scan on datas_part_0000008828 (cost=0.00..175.27 rows=1,327 width=664) (actual time=0.014..0.685 rows=1,327 loops=1)

10. 0.403 0.403 ↑ 1.0 653 1

Seq Scan on datas_part_0000008829 (cost=0.00..76.64 rows=664 width=649) (actual time=0.012..0.403 rows=653 loops=1)

11. 0.635 0.635 ↓ 1.0 1,327 1

Seq Scan on datas_part_0000008830 (cost=0.00..181.00 rows=1,300 width=665) (actual time=0.012..0.635 rows=1,327 loops=1)

12. 0.666 0.666 ↑ 1.0 1,323 1

Seq Scan on datas_part_0000008831 (cost=0.00..171.23 rows=1,323 width=664) (actual time=0.022..0.666 rows=1,323 loops=1)

13. 0.651 0.651 ↓ 1.0 1,301 1

Seq Scan on datas_part_0000008832 (cost=0.00..175.72 rows=1,272 width=664) (actual time=0.012..0.651 rows=1,301 loops=1)

14. 0.687 0.687 ↑ 1.0 1,322 1

Seq Scan on datas_part_0000008833 (cost=0.00..182.22 rows=1,322 width=664) (actual time=0.030..0.687 rows=1,322 loops=1)

15. 0.621 0.621 ↑ 1.0 1,282 1

Seq Scan on datas_part_0000008834 (cost=0.00..190.82 rows=1,282 width=664) (actual time=0.013..0.621 rows=1,282 loops=1)

16. 0.694 0.694 ↓ 1.0 1,317 1

Seq Scan on datas_part_0000008835 (cost=0.00..187.78 rows=1,278 width=664) (actual time=0.012..0.694 rows=1,317 loops=1)

17. 0.635 0.635 ↓ 1.0 1,313 1

Seq Scan on datas_part_0000008836 (cost=0.00..183.90 rows=1,290 width=664) (actual time=0.015..0.635 rows=1,313 loops=1)

18. 0.632 0.632 ↓ 1.0 1,312 1

Seq Scan on datas_part_0000008837 (cost=0.00..168.90 rows=1,290 width=667) (actual time=0.012..0.632 rows=1,312 loops=1)

19. 0.658 0.658 ↑ 1.0 1,289 1

Seq Scan on datas_part_0000008838 (cost=0.00..177.89 rows=1,289 width=664) (actual time=0.013..0.658 rows=1,289 loops=1)

20. 0.637 0.637 ↑ 1.0 1,321 1

Seq Scan on datas_part_0000008839 (cost=0.00..165.57 rows=1,357 width=664) (actual time=0.025..0.637 rows=1,321 loops=1)

21. 0.604 0.604 ↓ 1.0 1,304 1

Seq Scan on datas_part_0000008840 (cost=0.00..161.77 rows=1,277 width=665) (actual time=0.013..0.604 rows=1,304 loops=1)

22. 0.684 0.684 ↑ 1.0 1,309 1

Seq Scan on datas_part_0000008841 (cost=0.00..213.09 rows=1,309 width=666) (actual time=0.011..0.684 rows=1,309 loops=1)

23. 0.601 0.601 ↓ 1.0 1,284 1

Seq Scan on datas_part_0000008842 (cost=0.00..160.66 rows=1,266 width=665) (actual time=0.015..0.601 rows=1,284 loops=1)

24. 0.617 0.617 ↑ 1.0 1,270 1

Seq Scan on datas_part_0000008843 (cost=0.00..169.71 rows=1,271 width=666) (actual time=0.011..0.617 rows=1,270 loops=1)

25. 0.695 0.695 ↓ 1.0 1,304 1

Seq Scan on datas_part_0000008844 (cost=0.00..182.82 rows=1,282 width=666) (actual time=0.011..0.695 rows=1,304 loops=1)

26. 0.623 0.623 ↑ 1.0 1,279 1

Seq Scan on datas_part_0000008846 (cost=0.00..188.11 rows=1,311 width=664) (actual time=0.016..0.623 rows=1,279 loops=1)

27. 0.642 0.642 ↑ 1.0 1,316 1

Seq Scan on datas_part_0000008847 (cost=0.00..183.46 rows=1,346 width=665) (actual time=0.012..0.642 rows=1,316 loops=1)

28. 0.638 0.638 ↑ 1.0 1,273 1

Seq Scan on datas_part_0000008848 (cost=0.00..171.73 rows=1,273 width=665) (actual time=0.026..0.638 rows=1,273 loops=1)

29. 0.628 0.628 ↓ 1.0 1,315 1

Seq Scan on datas_part_0000008849 (cost=0.00..179.94 rows=1,294 width=665) (actual time=0.010..0.628 rows=1,315 loops=1)

30. 0.711 0.711 ↓ 1.0 1,313 1

Seq Scan on datas_part_0000008850 (cost=0.00..192.09 rows=1,309 width=664) (actual time=0.011..0.711 rows=1,313 loops=1)

31. 0.637 0.637 ↓ 1.0 1,363 1

Seq Scan on datas_part_0000008851 (cost=0.00..172.38 rows=1,338 width=666) (actual time=0.015..0.637 rows=1,363 loops=1)

32. 0.597 0.597 ↓ 1.0 1,265 1

Seq Scan on datas_part_0000008853 (cost=0.00..179.41 rows=1,241 width=664) (actual time=0.011..0.597 rows=1,265 loops=1)

33. 0.717 0.717 ↓ 1.1 1,294 1

Seq Scan on datas_part_0000008854 (cost=0.00..182.04 rows=1,204 width=665) (actual time=0.012..0.717 rows=1,294 loops=1)

34. 0.630 0.630 ↓ 1.0 1,308 1

Seq Scan on datas_part_0000008855 (cost=0.00..185.07 rows=1,307 width=666) (actual time=0.019..0.630 rows=1,308 loops=1)

35. 0.615 0.615 ↓ 1.0 1,304 1

Seq Scan on datas_part_0000008856 (cost=0.00..165.95 rows=1,295 width=663) (actual time=0.013..0.615 rows=1,304 loops=1)

36. 0.687 0.687 ↓ 1.0 1,306 1

Seq Scan on datas_part_0000008857 (cost=0.00..176.92 rows=1,292 width=665) (actual time=0.019..0.687 rows=1,306 loops=1)

37. 0.654 0.654 ↓ 1.0 1,315 1

Seq Scan on datas_part_0000008858 (cost=0.00..184.10 rows=1,310 width=664) (actual time=0.015..0.654 rows=1,315 loops=1)

38. 0.668 0.668 ↓ 1.0 1,306 1

Seq Scan on datas_part_0000008860 (cost=0.00..180.85 rows=1,285 width=663) (actual time=0.016..0.668 rows=1,306 loops=1)

39. 0.735 0.735 ↓ 1.0 1,308 1

Seq Scan on datas_part_0000008861 (cost=0.00..179.71 rows=1,271 width=664) (actual time=0.012..0.735 rows=1,308 loops=1)

40. 0.637 0.637 ↓ 1.0 1,272 1

Seq Scan on datas_part_0000008863 (cost=0.00..160.55 rows=1,255 width=663) (actual time=0.018..0.637 rows=1,272 loops=1)

41. 0.608 0.608 ↓ 1.1 1,257 1

Seq Scan on datas_part_0000008864 (cost=0.00..158.78 rows=1,178 width=661) (actual time=0.013..0.608 rows=1,257 loops=1)

42. 0.757 0.757 ↓ 1.0 1,291 1

Seq Scan on datas_part_0000008865 (cost=0.00..178.64 rows=1,264 width=665) (actual time=0.013..0.757 rows=1,291 loops=1)

43. 0.643 0.643 ↓ 1.0 1,304 1

Seq Scan on datas_part_0000008866 (cost=0.00..182.72 rows=1,272 width=664) (actual time=0.019..0.643 rows=1,304 loops=1)

44. 0.617 0.617 ↓ 1.0 1,264 1

Seq Scan on datas_part_0000008867 (cost=0.00..186.30 rows=1,230 width=665) (actual time=0.011..0.617 rows=1,264 loops=1)

45. 0.625 0.625 ↓ 1.0 1,246 1

Seq Scan on datas_part_0000008868 (cost=0.00..182.08 rows=1,208 width=667) (actual time=0.014..0.625 rows=1,246 loops=1)

46. 0.649 0.649 ↑ 1.0 1,302 1

Seq Scan on datas_part_0000008869 (cost=0.00..183.02 rows=1,302 width=665) (actual time=0.019..0.649 rows=1,302 loops=1)

47. 0.699 0.699 ↓ 1.0 1,302 1

Seq Scan on datas_part_0000008870 (cost=0.00..187.76 rows=1,276 width=663) (actual time=0.015..0.699 rows=1,302 loops=1)

48. 0.645 0.645 ↓ 1.0 1,306 1

Seq Scan on datas_part_0000008871 (cost=0.00..175.04 rows=1,304 width=665) (actual time=0.015..0.645 rows=1,306 loops=1)

49. 0.636 0.636 ↓ 1.0 1,318 1

Seq Scan on datas_part_0000008872 (cost=0.00..177.83 rows=1,283 width=663) (actual time=0.019..0.636 rows=1,318 loops=1)

50. 0.718 0.718 ↑ 1.0 1,300 1

Seq Scan on datas_part_0000008873 (cost=0.00..198.05 rows=1,305 width=664) (actual time=0.011..0.718 rows=1,300 loops=1)

51. 0.654 0.654 ↓ 1.0 1,301 1

Seq Scan on datas_part_0000008874 (cost=0.00..179.89 rows=1,289 width=665) (actual time=0.018..0.654 rows=1,301 loops=1)

52. 0.606 0.606 ↓ 1.0 1,298 1

Seq Scan on datas_part_0000008875 (cost=0.00..169.77 rows=1,277 width=666) (actual time=0.011..0.606 rows=1,298 loops=1)

53. 0.644 0.644 ↑ 1.0 1,318 1

Seq Scan on datas_part_0000008876 (cost=0.00..180.18 rows=1,318 width=664) (actual time=0.011..0.644 rows=1,318 loops=1)

54. 0.642 0.642 ↑ 1.0 1,306 1

Seq Scan on datas_part_0000008877 (cost=0.00..183.06 rows=1,306 width=665) (actual time=0.020..0.642 rows=1,306 loops=1)

55. 0.608 0.608 ↓ 1.0 1,293 1

Seq Scan on datas_part_0000008878 (cost=0.00..174.88 rows=1,288 width=664) (actual time=0.013..0.608 rows=1,293 loops=1)

56. 0.632 0.632 ↓ 1.0 1,293 1

Seq Scan on datas_part_0000008879 (cost=0.00..193.72 rows=1,272 width=666) (actual time=0.012..0.632 rows=1,293 loops=1)

57. 0.647 0.647 ↑ 1.0 1,328 1

Seq Scan on datas_part_0000008880 (cost=0.00..185.28 rows=1,328 width=665) (actual time=0.023..0.647 rows=1,328 loops=1)

58. 0.631 0.631 ↑ 1.0 1,355 1

Seq Scan on datas_part_0000008881 (cost=0.00..166.55 rows=1,355 width=665) (actual time=0.013..0.631 rows=1,355 loops=1)

59. 0.678 0.678 ↓ 1.0 1,299 1

Seq Scan on datas_part_0000008882 (cost=0.00..181.79 rows=1,279 width=663) (actual time=0.011..0.678 rows=1,299 loops=1)

60. 0.607 0.607 ↑ 1.0 1,275 1

Seq Scan on datas_part_0000008883 (cost=0.00..171.75 rows=1,275 width=664) (actual time=0.018..0.607 rows=1,275 loops=1)

61. 0.615 0.615 ↓ 1.0 1,312 1

Seq Scan on datas_part_0000008884 (cost=0.00..159.94 rows=1,294 width=666) (actual time=0.011..0.615 rows=1,312 loops=1)

62. 0.637 0.637 ↓ 1.0 1,327 1

Seq Scan on datas_part_0000008885 (cost=0.00..168.94 rows=1,294 width=663) (actual time=0.012..0.637 rows=1,327 loops=1)

63. 0.619 0.619 ↑ 1.0 1,310 1

Seq Scan on datas_part_0000008886 (cost=0.00..163.50 rows=1,350 width=664) (actual time=0.014..0.619 rows=1,310 loops=1)

64. 0.794 0.794 ↑ 1.0 1,325 1

Seq Scan on datas_part_0000008887 (cost=0.00..186.25 rows=1,325 width=665) (actual time=0.012..0.794 rows=1,325 loops=1)

65. 0.697 0.697 ↓ 1.0 1,320 1

Seq Scan on datas_part_0000008888 (cost=0.00..173.03 rows=1,303 width=665) (actual time=0.025..0.697 rows=1,320 loops=1)

66. 0.642 0.642 ↓ 1.0 1,313 1

Seq Scan on datas_part_0000008889 (cost=0.00..191.73 rows=1,273 width=664) (actual time=0.016..0.642 rows=1,313 loops=1)

67. 0.623 0.623 ↓ 1.0 1,323 1

Seq Scan on datas_part_0000008890 (cost=0.00..175.06 rows=1,306 width=665) (actual time=0.013..0.623 rows=1,323 loops=1)

68. 0.745 0.745 ↓ 1.0 1,320 1

Seq Scan on datas_part_0000008891 (cost=0.00..181.09 rows=1,309 width=665) (actual time=0.011..0.745 rows=1,320 loops=1)

69. 0.624 0.624 ↓ 1.0 1,295 1

Seq Scan on datas_part_0000008892 (cost=0.00..171.76 rows=1,276 width=665) (actual time=0.018..0.624 rows=1,295 loops=1)

70. 0.626 0.626 ↑ 1.0 1,320 1

Seq Scan on datas_part_0000008893 (cost=0.00..176.20 rows=1,320 width=664) (actual time=0.013..0.626 rows=1,320 loops=1)

71. 0.639 0.639 ↑ 1.0 1,324 1

Seq Scan on datas_part_0000008894 (cost=0.00..174.24 rows=1,324 width=664) (actual time=0.011..0.639 rows=1,324 loops=1)

72. 0.648 0.648 ↓ 1.0 1,328 1

Seq Scan on datas_part_0000008895 (cost=0.00..189.19 rows=1,319 width=667) (actual time=0.018..0.648 rows=1,328 loops=1)

73. 0.639 0.639 ↓ 1.0 1,325 1

Seq Scan on datas_part_0000008896 (cost=0.00..178.08 rows=1,308 width=664) (actual time=0.020..0.639 rows=1,325 loops=1)

74. 0.628 0.628 ↑ 1.0 1,222 1

Seq Scan on datas_part_0000008897 (cost=0.00..214.33 rows=1,233 width=663) (actual time=0.017..0.628 rows=1,222 loops=1)

75. 0.618 0.618 ↑ 1.0 1,244 1

Seq Scan on datas_part_0000008898 (cost=0.00..216.68 rows=1,268 width=663) (actual time=0.011..0.618 rows=1,244 loops=1)

76. 0.698 0.698 ↑ 1.0 1,317 1

Seq Scan on datas_part_0000008899 (cost=0.00..175.46 rows=1,346 width=665) (actual time=0.012..0.698 rows=1,317 loops=1)

77. 0.664 0.664 ↑ 1.0 1,212 1

Seq Scan on datas_part_0000008900 (cost=0.00..193.67 rows=1,267 width=661) (actual time=0.019..0.664 rows=1,212 loops=1)

78. 0.640 0.640 ↓ 1.1 1,274 1

Seq Scan on datas_part_0000008901 (cost=0.00..224.12 rows=1,212 width=669) (actual time=0.010..0.640 rows=1,274 loops=1)

79. 0.638 0.638 ↑ 1.0 1,331 1

Seq Scan on datas_part_0000008902 (cost=0.00..178.31 rows=1,331 width=666) (actual time=0.013..0.638 rows=1,331 loops=1)

80. 0.658 0.658 ↑ 1.0 1,265 1

Seq Scan on datas_part_0000008904 (cost=0.00..233.03 rows=1,303 width=668) (actual time=0.014..0.658 rows=1,265 loops=1)

81. 0.696 0.696 ↑ 1.0 1,307 1

Seq Scan on datas_part_0000008905 (cost=0.00..173.07 rows=1,307 width=664) (actual time=0.025..0.696 rows=1,307 loops=1)

82. 0.770 0.770 ↓ 1.0 1,238 1

Seq Scan on datas_part_0000008906 (cost=0.00..221.01 rows=1,201 width=669) (actual time=0.023..0.770 rows=1,238 loops=1)

83. 0.626 0.626 ↓ 1.0 1,320 1

Seq Scan on datas_part_0000008907 (cost=0.00..165.99 rows=1,299 width=666) (actual time=0.017..0.626 rows=1,320 loops=1)

84. 0.646 0.646 ↓ 1.0 1,260 1

Seq Scan on datas_part_0000008908 (cost=0.00..233.01 rows=1,201 width=668) (actual time=0.012..0.646 rows=1,260 loops=1)

85. 0.641 0.641 ↓ 1.0 1,311 1

Seq Scan on datas_part_0000008909 (cost=0.00..175.85 rows=1,285 width=663) (actual time=0.012..0.641 rows=1,311 loops=1)

86. 0.640 0.640 ↓ 1.0 1,320 1

Seq Scan on datas_part_0000008910 (cost=0.00..177.81 rows=1,281 width=666) (actual time=0.014..0.640 rows=1,320 loops=1)

87. 0.628 0.628 ↓ 1.0 1,319 1

Seq Scan on datas_part_0000008911 (cost=0.00..173.92 rows=1,292 width=667) (actual time=0.011..0.628 rows=1,319 loops=1)

88. 0.705 0.705 ↓ 1.0 1,327 1

Seq Scan on datas_part_0000008912 (cost=0.00..185.79 rows=1,279 width=665) (actual time=0.011..0.705 rows=1,327 loops=1)

89. 0.647 0.647 ↑ 1.0 1,318 1

Seq Scan on datas_part_0000008913 (cost=0.00..170.18 rows=1,318 width=666) (actual time=0.026..0.647 rows=1,318 loops=1)

90. 0.636 0.636 ↑ 1.0 1,329 1

Seq Scan on datas_part_0000008914 (cost=0.00..186.29 rows=1,329 width=664) (actual time=0.012..0.636 rows=1,329 loops=1)

91. 0.648 0.648 ↓ 1.0 1,237 1

Seq Scan on datas_part_0000008915 (cost=0.00..201.93 rows=1,193 width=664) (actual time=0.012..0.648 rows=1,237 loops=1)

92. 0.650 0.650 ↓ 1.0 1,317 1

Seq Scan on datas_part_0000008917 (cost=0.00..187.88 rows=1,288 width=663) (actual time=0.018..0.650 rows=1,317 loops=1)

93. 0.632 0.632 ↑ 1.0 1,336 1

Seq Scan on datas_part_0000008919 (cost=0.00..176.36 rows=1,336 width=664) (actual time=0.011..0.632 rows=1,336 loops=1)

94. 0.687 0.687 ↓ 1.0 1,325 1

Seq Scan on datas_part_0000008920 (cost=0.00..177.17 rows=1,317 width=665) (actual time=0.012..0.687 rows=1,325 loops=1)

95. 0.641 0.641 ↓ 1.0 1,332 1

Seq Scan on datas_part_0000008921 (cost=0.00..182.96 rows=1,296 width=665) (actual time=0.019..0.641 rows=1,332 loops=1)

96. 0.658 0.658 ↑ 1.0 1,339 1

Seq Scan on datas_part_0000008922 (cost=0.00..166.39 rows=1,339 width=666) (actual time=0.020..0.658 rows=1,339 loops=1)

97. 0.697 0.697 ↑ 1.0 1,322 1

Seq Scan on datas_part_0000008923 (cost=0.00..191.34 rows=1,334 width=663) (actual time=0.012..0.697 rows=1,322 loops=1)

98. 0.661 0.661 ↓ 1.0 1,332 1

Seq Scan on datas_part_0000008924 (cost=0.00..197.17 rows=1,317 width=666) (actual time=0.018..0.661 rows=1,332 loops=1)

99. 0.630 0.630 ↑ 1.0 1,297 1

Seq Scan on datas_part_0000008925 (cost=0.00..178.97 rows=1,297 width=666) (actual time=0.012..0.630 rows=1,297 loops=1)

100. 0.744 0.744 ↓ 1.0 1,328 1

Seq Scan on datas_part_0000008926 (cost=0.00..174.00 rows=1,300 width=668) (actual time=0.011..0.744 rows=1,328 loops=1)

101. 0.614 0.614 ↓ 1.0 1,298 1

Seq Scan on datas_part_0000008927 (cost=0.00..177.72 rows=1,272 width=666) (actual time=0.015..0.614 rows=1,298 loops=1)

102. 0.630 0.630 ↑ 1.0 1,291 1

Seq Scan on datas_part_0000008928 (cost=0.00..199.91 rows=1,291 width=668) (actual time=0.012..0.630 rows=1,291 loops=1)

103. 0.646 0.646 ↓ 1.0 1,282 1

Seq Scan on datas_part_0000008929 (cost=0.00..188.63 rows=1,263 width=667) (actual time=0.041..0.646 rows=1,282 loops=1)

104. 0.624 0.624 ↓ 1.0 1,279 1

Seq Scan on datas_part_0000008930 (cost=0.00..172.54 rows=1,254 width=667) (actual time=0.024..0.624 rows=1,279 loops=1)

105. 0.593 0.593 ↑ 1.0 1,292 1

Seq Scan on datas_part_0000008931 (cost=0.00..153.13 rows=1,313 width=665) (actual time=0.010..0.593 rows=1,292 loops=1)

106. 0.640 0.640 ↓ 1.0 1,259 1

Seq Scan on datas_part_0000008932 (cost=0.00..179.32 rows=1,232 width=666) (actual time=0.012..0.640 rows=1,259 loops=1)

107. 0.603 0.603 ↓ 1.0 1,250 1

Seq Scan on datas_part_0000008933 (cost=0.00..171.22 rows=1,222 width=664) (actual time=0.014..0.603 rows=1,250 loops=1)

108. 0.713 0.713 ↓ 1.0 1,237 1

Seq Scan on datas_part_0000008934 (cost=0.00..174.35 rows=1,235 width=666) (actual time=0.012..0.713 rows=1,237 loops=1)

109. 0.755 0.755 ↑ 1.0 1,291 1

Seq Scan on datas_part_0000008935 (cost=0.00..189.91 rows=1,291 width=663) (actual time=0.016..0.755 rows=1,291 loops=1)

110. 0.589 0.589 ↑ 1.0 1,237 1

Seq Scan on datas_part_0000008936 (cost=0.00..154.47 rows=1,247 width=667) (actual time=0.012..0.589 rows=1,237 loops=1)

111. 0.698 0.698 ↑ 1.0 1,290 1

Seq Scan on datas_part_0000008937 (cost=0.00..187.90 rows=1,290 width=667) (actual time=0.011..0.698 rows=1,290 loops=1)

112. 0.672 0.672 ↓ 1.0 1,284 1

Seq Scan on datas_part_0000008938 (cost=0.00..172.67 rows=1,267 width=668) (actual time=0.022..0.672 rows=1,284 loops=1)

113. 0.653 0.653 ↓ 1.0 1,265 1

Seq Scan on datas_part_0000008939 (cost=0.00..216.38 rows=1,238 width=667) (actual time=0.011..0.653 rows=1,265 loops=1)

114. 0.635 0.635 ↓ 1.0 1,249 1

Seq Scan on datas_part_0000008940 (cost=0.00..177.28 rows=1,228 width=665) (actual time=0.013..0.635 rows=1,249 loops=1)

115. 0.625 0.625 ↑ 1.0 1,287 1

Seq Scan on datas_part_0000008941 (cost=0.00..195.87 rows=1,287 width=665) (actual time=0.017..0.625 rows=1,287 loops=1)

116. 0.612 0.612 ↓ 1.0 1,276 1

Seq Scan on datas_part_0000008942 (cost=0.00..171.59 rows=1,259 width=668) (actual time=0.012..0.612 rows=1,276 loops=1)

117. 0.681 0.681 ↓ 1.0 1,293 1

Seq Scan on datas_part_0000008943 (cost=0.00..175.66 rows=1,266 width=667) (actual time=0.011..0.681 rows=1,293 loops=1)

118. 0.602 0.602 ↓ 1.0 1,279 1

Seq Scan on datas_part_0000008944 (cost=0.00..168.50 rows=1,250 width=664) (actual time=0.014..0.602 rows=1,279 loops=1)

119. 0.491 0.491 ↓ 1.0 1,010 1

Seq Scan on datas_part_0000008945 (cost=0.00..137.08 rows=1,008 width=659) (actual time=0.011..0.491 rows=1,010 loops=1)

120. 0.733 0.733 ↓ 1.0 1,248 1

Seq Scan on datas_part_0000008946 (cost=0.00..169.46 rows=1,246 width=665) (actual time=0.019..0.733 rows=1,248 loops=1)

121. 0.596 0.596 ↓ 1.0 1,272 1

Seq Scan on datas_part_0000008947 (cost=0.00..163.61 rows=1,261 width=663) (actual time=0.015..0.596 rows=1,272 loops=1)

122. 0.585 0.585 ↓ 1.0 1,241 1

Seq Scan on datas_part_0000008948 (cost=0.00..166.25 rows=1,225 width=662) (actual time=0.012..0.585 rows=1,241 loops=1)

123. 0.675 0.675 ↓ 1.0 1,247 1

Seq Scan on datas_part_0000008949 (cost=0.00..164.31 rows=1,231 width=663) (actual time=0.013..0.675 rows=1,247 loops=1)

124. 0.667 0.667 ↑ 1.0 1,294 1

Seq Scan on datas_part_0000008950 (cost=0.00..158.94 rows=1,294 width=667) (actual time=0.017..0.667 rows=1,294 loops=1)

125. 0.645 0.645 ↓ 1.0 1,281 1

Seq Scan on datas_part_0000008951 (cost=0.00..178.73 rows=1,273 width=665) (actual time=0.012..0.645 rows=1,281 loops=1)

126. 0.637 0.637 ↓ 1.0 1,231 1

Seq Scan on datas_part_0000008952 (cost=0.00..173.08 rows=1,208 width=668) (actual time=0.012..0.637 rows=1,231 loops=1)

127. 0.639 0.639 ↑ 1.0 1,272 1

Seq Scan on datas_part_0000008953 (cost=0.00..186.72 rows=1,272 width=663) (actual time=0.017..0.639 rows=1,272 loops=1)

128. 0.668 0.668 ↓ 1.0 1,245 1

Seq Scan on datas_part_0000008954 (cost=0.00..158.15 rows=1,215 width=665) (actual time=0.021..0.668 rows=1,245 loops=1)

129. 0.754 0.754 ↓ 1.0 1,246 1

Seq Scan on datas_part_0000008955 (cost=0.00..165.28 rows=1,228 width=664) (actual time=0.016..0.754 rows=1,246 loops=1)

130. 0.705 0.705 ↓ 1.0 1,224 1

Seq Scan on datas_part_0000008956 (cost=0.00..167.13 rows=1,213 width=666) (actual time=0.015..0.705 rows=1,224 loops=1)

131. 0.653 0.653 ↑ 1.0 1,301 1

Seq Scan on datas_part_0000008957 (cost=0.00..177.01 rows=1,301 width=667) (actual time=0.014..0.653 rows=1,301 loops=1)

132. 0.643 0.643 ↓ 1.0 1,253 1

Seq Scan on datas_part_0000008958 (cost=0.00..170.24 rows=1,224 width=665) (actual time=0.013..0.643 rows=1,253 loops=1)

133. 0.613 0.613 ↑ 1.0 1,247 1

Seq Scan on datas_part_0000008959 (cost=0.00..159.47 rows=1,247 width=662) (actual time=0.018..0.613 rows=1,247 loops=1)

134. 0.687 0.687 ↓ 1.0 1,290 1

Seq Scan on datas_part_0000008960 (cost=0.00..178.55 rows=1,255 width=666) (actual time=0.012..0.687 rows=1,290 loops=1)

135. 0.030 0.030 ↓ 1.7 37 1

Seq Scan on datas_part_0000008961 (cost=0.00..2.22 rows=22 width=279) (actual time=0.018..0.030 rows=37 loops=1)

136. 0.685 0.685 ↓ 1.0 1,277 1

Seq Scan on datas_part_0000008962 (cost=0.00..179.36 rows=1,236 width=666) (actual time=0.029..0.685 rows=1,277 loops=1)

137. 0.674 0.674 ↓ 1.0 1,274 1

Seq Scan on datas_part_0000008963 (cost=0.00..176.65 rows=1,265 width=664) (actual time=0.013..0.674 rows=1,274 loops=1)

138. 0.715 0.715 ↓ 1.0 1,276 1

Seq Scan on datas_part_0000008964 (cost=0.00..191.41 rows=1,241 width=666) (actual time=0.026..0.715 rows=1,276 loops=1)

139. 0.630 0.630 ↓ 1.0 1,281 1

Seq Scan on datas_part_0000008965 (cost=0.00..179.78 rows=1,278 width=664) (actual time=0.018..0.630 rows=1,281 loops=1)

140. 0.615 0.615 ↑ 1.0 1,279 1

Seq Scan on datas_part_0000008967 (cost=0.00..167.79 rows=1,279 width=663) (actual time=0.012..0.615 rows=1,279 loops=1)

141. 0.623 0.623 ↓ 1.0 1,247 1

Seq Scan on datas_part_0000008968 (cost=0.00..167.34 rows=1,234 width=664) (actual time=0.011..0.623 rows=1,247 loops=1)

142. 0.623 0.623 ↓ 1.0 1,270 1

Seq Scan on datas_part_0000008969 (cost=0.00..177.58 rows=1,258 width=666) (actual time=0.016..0.623 rows=1,270 loops=1)

143. 0.670 0.670 ↓ 1.0 1,297 1

Seq Scan on datas_part_0000008970 (cost=0.00..172.69 rows=1,269 width=666) (actual time=0.013..0.670 rows=1,297 loops=1)

144. 0.735 0.735 ↓ 1.0 1,252 1

Seq Scan on datas_part_0000008971 (cost=0.00..169.33 rows=1,233 width=664) (actual time=0.022..0.735 rows=1,252 loops=1)

145. 0.622 0.622 ↓ 1.0 1,265 1

Seq Scan on datas_part_0000008972 (cost=0.00..188.56 rows=1,256 width=663) (actual time=0.018..0.622 rows=1,265 loops=1)

146. 0.614 0.614 ↓ 1.0 1,283 1

Seq Scan on datas_part_0000008973 (cost=0.00..168.77 rows=1,277 width=666) (actual time=0.012..0.614 rows=1,283 loops=1)

147. 0.693 0.693 ↓ 1.0 1,296 1

Seq Scan on datas_part_0000008974 (cost=0.00..174.69 rows=1,269 width=664) (actual time=0.011..0.693 rows=1,296 loops=1)

148. 0.612 0.612 ↓ 1.0 1,246 1

Seq Scan on datas_part_0000008975 (cost=0.00..170.25 rows=1,225 width=664) (actual time=0.017..0.612 rows=1,246 loops=1)

149. 0.603 0.603 ↓ 1.0 1,252 1

Seq Scan on datas_part_0000008976 (cost=0.00..183.28 rows=1,228 width=664) (actual time=0.012..0.603 rows=1,252 loops=1)

150. 0.731 0.731 ↓ 1.0 1,244 1

Seq Scan on datas_part_0000008977 (cost=0.00..160.31 rows=1,231 width=665) (actual time=0.013..0.731 rows=1,244 loops=1)

151. 0.633 0.633 ↑ 1.1 1,279 1

Seq Scan on datas_part_0000008978 (cost=0.00..185.61 rows=1,361 width=666) (actual time=0.020..0.633 rows=1,279 loops=1)

152. 0.594 0.594 ↓ 1.0 1,252 1

Seq Scan on datas_part_0000008979 (cost=0.00..149.44 rows=1,244 width=666) (actual time=0.020..0.594 rows=1,252 loops=1)

153. 0.568 0.568 ↓ 1.0 1,048 1

Seq Scan on datas_part_0000008980 (cost=0.00..147.37 rows=1,037 width=660) (actual time=0.011..0.568 rows=1,048 loops=1)

154. 0.595 0.595 ↑ 1.0 1,228 1

Seq Scan on datas_part_0000008981 (cost=0.00..157.28 rows=1,228 width=665) (actual time=0.014..0.595 rows=1,228 loops=1)

155. 0.617 0.617 ↑ 1.0 1,271 1

Seq Scan on datas_part_0000008982 (cost=0.00..183.71 rows=1,271 width=666) (actual time=0.012..0.617 rows=1,271 loops=1)

156. 0.685 0.685 ↓ 1.0 1,274 1

Seq Scan on datas_part_0000008983 (cost=0.00..158.54 rows=1,254 width=664) (actual time=0.012..0.685 rows=1,274 loops=1)

157. 0.623 0.623 ↑ 1.0 1,278 1

Seq Scan on datas_part_0000008984 (cost=0.00..183.78 rows=1,278 width=665) (actual time=0.014..0.623 rows=1,278 loops=1)

158. 0.612 0.612 ↓ 1.0 1,281 1

Seq Scan on datas_part_0000008985 (cost=0.00..164.64 rows=1,264 width=664) (actual time=0.011..0.612 rows=1,281 loops=1)

159. 0.706 0.706 ↓ 1.0 1,254 1

Seq Scan on datas_part_0000008986 (cost=0.00..175.23 rows=1,223 width=665) (actual time=0.024..0.706 rows=1,254 loops=1)

160. 0.611 0.611 ↓ 1.0 1,272 1

Seq Scan on datas_part_0000008987 (cost=0.00..162.64 rows=1,264 width=665) (actual time=0.018..0.611 rows=1,272 loops=1)

161. 0.599 0.599 ↓ 1.0 1,265 1

Seq Scan on datas_part_0000008988 (cost=0.00..164.58 rows=1,258 width=664) (actual time=0.011..0.599 rows=1,265 loops=1)

162. 0.692 0.692 ↓ 1.0 1,283 1

Seq Scan on datas_part_0000008989 (cost=0.00..172.60 rows=1,260 width=664) (actual time=0.012..0.692 rows=1,283 loops=1)

163. 0.493 0.493 ↓ 1.0 813 1

Seq Scan on datas_part_0000008991 (cost=0.00..113.03 rows=803 width=654) (actual time=0.016..0.493 rows=813 loops=1)

164. 0.614 0.614 ↓ 1.0 1,239 1

Seq Scan on datas_part_0000008992 (cost=0.00..174.18 rows=1,218 width=665) (actual time=0.013..0.614 rows=1,239 loops=1)

165. 0.753 0.753 ↑ 1.0 1,310 1

Seq Scan on datas_part_0000008993 (cost=0.00..191.10 rows=1,310 width=666) (actual time=0.012..0.753 rows=1,310 loops=1)

166. 0.619 0.619 ↓ 1.0 1,285 1

Seq Scan on datas_part_0000008994 (cost=0.00..170.70 rows=1,270 width=664) (actual time=0.017..0.619 rows=1,285 loops=1)

167. 0.624 0.624 ↓ 1.0 1,270 1

Seq Scan on datas_part_0000008997 (cost=0.00..176.35 rows=1,235 width=666) (actual time=0.019..0.624 rows=1,270 loops=1)

168. 0.617 0.617 ↓ 1.0 1,250 1

Seq Scan on datas_part_0000008998 (cost=0.00..173.47 rows=1,247 width=666) (actual time=0.012..0.617 rows=1,250 loops=1)

169. 0.677 0.677 ↓ 1.0 1,289 1

Seq Scan on datas_part_0000008999 (cost=0.00..176.73 rows=1,273 width=665) (actual time=0.014..0.677 rows=1,289 loops=1)

170. 0.624 0.624 ↑ 1.0 1,276 1

Seq Scan on datas_part_0000009000 (cost=0.00..172.90 rows=1,290 width=664) (actual time=0.021..0.624 rows=1,276 loops=1)

171. 0.679 0.679 ↑ 1.0 1,313 1

Seq Scan on datas_part_0000009001 (cost=0.00..167.13 rows=1,313 width=665) (actual time=0.012..0.679 rows=1,313 loops=1)

172. 0.704 0.704 ↑ 1.0 1,270 1

Seq Scan on datas_part_0000009002 (cost=0.00..176.70 rows=1,270 width=665) (actual time=0.014..0.704 rows=1,270 loops=1)

173. 0.642 0.642 ↓ 1.0 1,272 1

Seq Scan on datas_part_0000009003 (cost=0.00..163.46 rows=1,246 width=666) (actual time=0.014..0.642 rows=1,272 loops=1)

174. 0.683 0.683 ↓ 1.0 1,308 1

Seq Scan on datas_part_0000009004 (cost=0.00..167.93 rows=1,293 width=665) (actual time=0.012..0.683 rows=1,308 loops=1)

175. 0.652 0.652 ↓ 1.0 1,314 1

Seq Scan on datas_part_0000009005 (cost=0.00..172.94 rows=1,294 width=666) (actual time=0.026..0.652 rows=1,314 loops=1)

176. 0.629 0.629 ↑ 1.0 1,308 1

Seq Scan on datas_part_0000009006 (cost=0.00..177.08 rows=1,308 width=666) (actual time=0.013..0.629 rows=1,308 loops=1)

177. 0.714 0.714 ↓ 1.0 1,310 1

Seq Scan on datas_part_0000009007 (cost=0.00..169.85 rows=1,285 width=666) (actual time=0.012..0.714 rows=1,310 loops=1)

178. 0.641 0.641 ↓ 1.1 1,319 1

Seq Scan on datas_part_0000009008 (cost=0.00..188.94 rows=1,194 width=665) (actual time=0.016..0.641 rows=1,319 loops=1)

179. 0.692 0.692 ↑ 1.0 1,344 1

Seq Scan on datas_part_0000009009 (cost=0.00..172.44 rows=1,344 width=666) (actual time=0.012..0.692 rows=1,344 loops=1)

180. 0.674 0.674 ↓ 1.0 1,300 1

Seq Scan on datas_part_0000009010 (cost=0.00..187.76 rows=1,276 width=664) (actual time=0.015..0.674 rows=1,300 loops=1)

181. 0.650 0.650 ↑ 1.0 1,328 1

Seq Scan on datas_part_0000009011 (cost=0.00..197.28 rows=1,328 width=663) (actual time=0.012..0.650 rows=1,328 loops=1)

182. 0.693 0.693 ↓ 1.0 1,255 1

Seq Scan on datas_part_0000009012 (cost=0.00..162.39 rows=1,239 width=664) (actual time=0.011..0.693 rows=1,255 loops=1)

183. 0.692 0.692 ↑ 1.0 1,278 1

Seq Scan on datas_part_0000009013 (cost=0.00..172.78 rows=1,278 width=665) (actual time=0.041..0.692 rows=1,278 loops=1)

184. 0.621 0.621 ↑ 1.0 1,271 1

Seq Scan on datas_part_0000009014 (cost=0.00..175.74 rows=1,274 width=664) (actual time=0.012..0.621 rows=1,271 loops=1)

185. 0.709 0.709 ↓ 1.0 1,325 1

Seq Scan on datas_part_0000009015 (cost=0.00..181.91 rows=1,291 width=663) (actual time=0.012..0.709 rows=1,325 loops=1)

186. 0.623 0.623 ↑ 1.0 1,286 1

Seq Scan on datas_part_0000009016 (cost=0.00..187.88 rows=1,288 width=666) (actual time=0.014..0.623 rows=1,286 loops=1)

187. 0.601 0.601 ↓ 1.0 1,278 1

Seq Scan on datas_part_0000009017 (cost=0.00..165.72 rows=1,272 width=666) (actual time=0.012..0.601 rows=1,278 loops=1)

188. 0.694 0.694 ↑ 1.0 1,323 1

Seq Scan on datas_part_0000009018 (cost=0.00..186.75 rows=1,375 width=665) (actual time=0.011..0.694 rows=1,323 loops=1)

189. 0.631 0.631 ↓ 1.0 1,285 1

Seq Scan on datas_part_0000009019 (cost=0.00..178.75 rows=1,275 width=666) (actual time=0.021..0.631 rows=1,285 loops=1)

190. 0.631 0.631 ↓ 1.0 1,319 1

Seq Scan on datas_part_0000009020 (cost=0.00..181.94 rows=1,294 width=666) (actual time=0.012..0.631 rows=1,319 loops=1)

191. 0.763 0.763 ↑ 1.0 1,339 1

Seq Scan on datas_part_0000009021 (cost=0.00..191.39 rows=1,339 width=664) (actual time=0.011..0.763 rows=1,339 loops=1)

192. 0.605 0.605 ↑ 1.0 1,316 1

Seq Scan on datas_part_0000009022 (cost=0.00..153.34 rows=1,334 width=664) (actual time=0.018..0.605 rows=1,316 loops=1)

193. 0.641 0.641 ↓ 1.0 1,329 1

Seq Scan on datas_part_0000009023 (cost=0.00..187.18 rows=1,318 width=666) (actual time=0.012..0.641 rows=1,329 loops=1)

194. 0.658 0.658 ↑ 1.0 1,342 1

Seq Scan on datas_part_0000009024 (cost=0.00..180.42 rows=1,342 width=665) (actual time=0.012..0.658 rows=1,342 loops=1)

195. 0.634 0.634 ↓ 1.0 1,331 1

Seq Scan on datas_part_0000009025 (cost=0.00..174.93 rows=1,293 width=665) (actual time=0.018..0.634 rows=1,331 loops=1)

196. 0.614 0.614 ↑ 1.0 1,310 1

Seq Scan on datas_part_0000009026 (cost=0.00..168.10 rows=1,310 width=663) (actual time=0.012..0.614 rows=1,310 loops=1)

197. 0.619 0.619 ↓ 1.0 1,300 1

Seq Scan on datas_part_0000009027 (cost=0.00..173.96 rows=1,296 width=666) (actual time=0.013..0.619 rows=1,300 loops=1)

198. 0.626 0.626 ↓ 1.0 1,315 1

Seq Scan on datas_part_0000009028 (cost=0.00..179.85 rows=1,285 width=666) (actual time=0.014..0.626 rows=1,315 loops=1)

199. 0.625 0.625 ↓ 1.0 1,319 1

Seq Scan on datas_part_0000009029 (cost=0.00..176.06 rows=1,306 width=666) (actual time=0.013..0.625 rows=1,319 loops=1)

200. 0.661 0.661 ↓ 1.0 1,348 1

Seq Scan on datas_part_0000009030 (cost=0.00..182.24 rows=1,324 width=664) (actual time=0.011..0.661 rows=1,348 loops=1)

201. 0.738 0.738 ↓ 1.0 1,443 1

Seq Scan on datas_part_0000009031 (cost=0.00..217.18 rows=1,418 width=668) (actual time=0.020..0.738 rows=1,443 loops=1)

202. 0.688 0.688 ↓ 1.0 1,314 1

Seq Scan on datas_part_0000009032 (cost=0.00..191.00 rows=1,300 width=666) (actual time=0.013..0.688 rows=1,314 loops=1)

203. 0.705 0.705 ↓ 1.0 1,353 1

Seq Scan on datas_part_0000009033 (cost=0.00..196.32 rows=1,332 width=665) (actual time=0.012..0.705 rows=1,353 loops=1)

204. 0.654 0.654 ↑ 1.0 1,339 1

Seq Scan on datas_part_0000009034 (cost=0.00..191.39 rows=1,339 width=666) (actual time=0.017..0.654 rows=1,339 loops=1)

205. 0.643 0.643 ↓ 1.0 1,277 1

Seq Scan on datas_part_0000009035 (cost=0.00..195.76 rows=1,276 width=665) (actual time=0.013..0.643 rows=1,277 loops=1)

206. 0.637 0.637 ↓ 1.0 1,191 1

Seq Scan on datas_part_0000009036 (cost=0.00..182.80 rows=1,180 width=662) (actual time=0.056..0.637 rows=1,191 loops=1)

207. 0.723 0.723 ↓ 1.0 1,340 1

Seq Scan on datas_part_0000009037 (cost=0.00..208.98 rows=1,298 width=665) (actual time=0.013..0.723 rows=1,340 loops=1)

208. 0.662 0.662 ↓ 1.0 1,327 1

Seq Scan on datas_part_0000009038 (cost=0.00..194.96 rows=1,296 width=667) (actual time=0.014..0.662 rows=1,327 loops=1)

209. 0.664 0.664 ↑ 1.0 1,329 1

Seq Scan on datas_part_0000009039 (cost=0.00..184.29 rows=1,329 width=666) (actual time=0.017..0.664 rows=1,329 loops=1)

210. 0.670 0.670 ↑ 1.0 1,322 1

Seq Scan on datas_part_0000009040 (cost=0.00..185.22 rows=1,322 width=665) (actual time=0.014..0.670 rows=1,322 loops=1)

211. 0.690 0.690 ↓ 1.0 1,361 1

Seq Scan on datas_part_0000009041 (cost=0.00..188.37 rows=1,337 width=664) (actual time=0.014..0.690 rows=1,361 loops=1)

212. 0.665 0.665 ↓ 1.0 1,318 1

Seq Scan on datas_part_0000009042 (cost=0.00..185.89 rows=1,289 width=667) (actual time=0.020..0.665 rows=1,318 loops=1)

213. 0.642 0.642 ↑ 1.0 1,300 1

Seq Scan on datas_part_0000009043 (cost=0.00..156.00 rows=1,300 width=666) (actual time=0.013..0.642 rows=1,300 loops=1)

214. 0.823 0.823 ↓ 1.0 1,303 1

Seq Scan on datas_part_0000009044 (cost=0.00..187.99 rows=1,299 width=664) (actual time=0.013..0.823 rows=1,303 loops=1)

215. 0.820 0.820 ↓ 1.0 1,350 1

Seq Scan on datas_part_0000009045 (cost=0.00..181.24 rows=1,324 width=667) (actual time=0.035..0.820 rows=1,350 loops=1)

216. 0.745 0.745 ↓ 1.0 1,306 1

Seq Scan on datas_part_0000009046 (cost=0.00..158.84 rows=1,284 width=663) (actual time=0.026..0.745 rows=1,306 loops=1)

217. 0.637 0.637 ↑ 1.0 1,315 1

Seq Scan on datas_part_0000009047 (cost=0.00..189.15 rows=1,315 width=664) (actual time=0.014..0.637 rows=1,315 loops=1)

218. 0.632 0.632 ↑ 1.0 1,330 1

Seq Scan on datas_part_0000009048 (cost=0.00..173.30 rows=1,330 width=663) (actual time=0.013..0.632 rows=1,330 loops=1)

219. 0.712 0.712 ↓ 1.0 1,307 1

Seq Scan on datas_part_0000009049 (cost=0.00..180.91 rows=1,291 width=663) (actual time=0.011..0.712 rows=1,307 loops=1)

220. 0.670 0.670 ↓ 1.0 1,352 1

Seq Scan on datas_part_0000009050 (cost=0.00..176.44 rows=1,344 width=666) (actual time=0.017..0.670 rows=1,352 loops=1)

221. 0.674 0.674 ↓ 1.0 1,331 1

Seq Scan on datas_part_0000009051 (cost=0.00..190.02 rows=1,302 width=664) (actual time=0.018..0.674 rows=1,331 loops=1)

222. 0.759 0.759 ↑ 1.0 1,334 1

Seq Scan on datas_part_0000009052 (cost=0.00..181.34 rows=1,334 width=665) (actual time=0.012..0.759 rows=1,334 loops=1)

223. 0.533 0.533 ↓ 1.0 998 1

Seq Scan on datas_part_0000009053 (cost=0.00..136.87 rows=987 width=662) (actual time=0.018..0.533 rows=998 loops=1)

224. 0.649 0.649 ↓ 1.0 1,312 1

Seq Scan on datas_part_0000009054 (cost=0.00..210.76 rows=1,276 width=665) (actual time=0.013..0.649 rows=1,312 loops=1)

225. 0.679 0.679 ↓ 1.1 1,321 1

Seq Scan on datas_part_0000009056 (cost=0.00..199.32 rows=1,232 width=664) (actual time=0.013..0.679 rows=1,321 loops=1)

226. 0.635 0.635 ↑ 1.0 1,313 1

Seq Scan on datas_part_0000009057 (cost=0.00..179.13 rows=1,313 width=665) (actual time=0.018..0.635 rows=1,313 loops=1)

227. 0.635 0.635 ↓ 1.0 1,325 1

Seq Scan on datas_part_0000009058 (cost=0.00..174.96 rows=1,296 width=667) (actual time=0.013..0.635 rows=1,325 loops=1)

228. 0.680 0.680 ↑ 1.0 1,338 1

Seq Scan on datas_part_0000009059 (cost=0.00..181.38 rows=1,338 width=663) (actual time=0.012..0.680 rows=1,338 loops=1)

229. 0.615 0.615 ↓ 1.0 1,285 1

Seq Scan on datas_part_0000009061 (cost=0.00..164.67 rows=1,267 width=664) (actual time=0.019..0.615 rows=1,285 loops=1)

230. 0.624 0.624 ↓ 1.0 1,281 1

Seq Scan on datas_part_0000009062 (cost=0.00..178.60 rows=1,260 width=666) (actual time=0.011..0.624 rows=1,281 loops=1)

231. 0.654 0.654 ↓ 1.0 1,277 1

Seq Scan on datas_part_0000009063 (cost=0.00..162.70 rows=1,270 width=664) (actual time=0.011..0.654 rows=1,277 loops=1)

232. 0.589 0.589 ↓ 1.0 1,228 1

Seq Scan on datas_part_0000009064 (cost=0.00..165.06 rows=1,206 width=666) (actual time=0.019..0.589 rows=1,228 loops=1)

233. 0.596 0.596 ↑ 1.0 1,248 1

Seq Scan on datas_part_0000009066 (cost=0.00..171.75 rows=1,275 width=663) (actual time=0.011..0.596 rows=1,248 loops=1)

234. 0.645 0.645 ↓ 1.0 1,311 1

Seq Scan on datas_part_0000009067 (cost=0.00..163.86 rows=1,286 width=668) (actual time=0.016..0.645 rows=1,311 loops=1)

235. 0.596 0.596 ↑ 1.1 1,286 1

Seq Scan on datas_part_0000009068 (cost=0.00..157.97 rows=1,397 width=666) (actual time=0.018..0.596 rows=1,286 loops=1)

236. 0.593 0.593 ↓ 1.0 1,247 1

Seq Scan on datas_part_0000009069 (cost=0.00..168.24 rows=1,224 width=665) (actual time=0.012..0.593 rows=1,247 loops=1)

237. 0.680 0.680 ↓ 1.0 1,306 1

Seq Scan on datas_part_0000009070 (cost=0.00..153.84 rows=1,284 width=666) (actual time=0.062..0.680 rows=1,306 loops=1)

238. 0.600 0.600 ↓ 1.0 1,246 1

Seq Scan on datas_part_0000009071 (cost=0.00..176.29 rows=1,229 width=663) (actual time=0.017..0.600 rows=1,246 loops=1)

239. 0.590 0.590 ↓ 1.0 1,245 1

Seq Scan on datas_part_0000009072 (cost=0.00..160.26 rows=1,226 width=665) (actual time=0.012..0.590 rows=1,245 loops=1)

240. 0.713 0.713 ↑ 1.0 1,255 1

Seq Scan on datas_part_0000009073 (cost=0.00..182.96 rows=1,296 width=664) (actual time=0.012..0.713 rows=1,255 loops=1)

241. 0.601 0.601 ↑ 1.0 1,247 1

Seq Scan on datas_part_0000009074 (cost=0.00..175.84 rows=1,284 width=667) (actual time=0.020..0.601 rows=1,247 loops=1)

242. 0.609 0.609 ↑ 1.1 1,285 1

Seq Scan on datas_part_0000009075 (cost=0.00..157.55 rows=1,355 width=666) (actual time=0.011..0.609 rows=1,285 loops=1)

243. 0.611 0.611 ↓ 1.0 1,236 1

Seq Scan on datas_part_0000009076 (cost=0.00..164.20 rows=1,220 width=663) (actual time=0.018..0.611 rows=1,236 loops=1)

244. 0.582 0.582 ↓ 1.0 1,213 1

Seq Scan on datas_part_0000009077 (cost=0.00..164.02 rows=1,202 width=667) (actual time=0.015..0.582 rows=1,213 loops=1)

245. 0.587 0.587 ↓ 1.0 1,238 1

Seq Scan on datas_part_0000009078 (cost=0.00..170.34 rows=1,234 width=666) (actual time=0.013..0.587 rows=1,238 loops=1)

246. 0.584 0.584 ↓ 1.0 1,249 1

Seq Scan on datas_part_0000009079 (cost=0.00..162.34 rows=1,234 width=663) (actual time=0.012..0.584 rows=1,249 loops=1)

247. 0.593 0.593 ↓ 1.0 1,272 1

Seq Scan on datas_part_0000009080 (cost=0.00..167.54 rows=1,254 width=668) (actual time=0.013..0.593 rows=1,272 loops=1)

248. 0.589 0.589 ↓ 1.0 1,256 1

Seq Scan on datas_part_0000009081 (cost=0.00..157.52 rows=1,252 width=664) (actual time=0.011..0.589 rows=1,256 loops=1)

249. 0.613 0.613 ↓ 1.0 1,279 1

Seq Scan on datas_part_0000009082 (cost=0.00..170.57 rows=1,257 width=664) (actual time=0.012..0.613 rows=1,279 loops=1)

250. 0.618 0.618 ↓ 1.0 1,273 1

Seq Scan on datas_part_0000009083 (cost=0.00..181.36 rows=1,236 width=666) (actual time=0.020..0.618 rows=1,273 loops=1)

251. 0.582 0.582 ↓ 1.0 1,244 1

Seq Scan on datas_part_0000009085 (cost=0.00..161.29 rows=1,229 width=664) (actual time=0.012..0.582 rows=1,244 loops=1)

252. 0.641 0.641 ↑ 1.0 1,258 1

Seq Scan on datas_part_0000009087 (cost=0.00..165.59 rows=1,259 width=663) (actual time=0.011..0.641 rows=1,258 loops=1)

253. 0.701 0.701 ↓ 1.0 1,233 1

Seq Scan on datas_part_0000009088 (cost=0.00..179.10 rows=1,210 width=664) (actual time=0.016..0.701 rows=1,233 loops=1)

254. 0.579 0.579 ↓ 1.0 1,216 1

Seq Scan on datas_part_0000009089 (cost=0.00..162.03 rows=1,203 width=665) (actual time=0.012..0.579 rows=1,216 loops=1)

255. 0.590 0.590 ↓ 1.0 1,217 1

Seq Scan on datas_part_0000009090 (cost=0.00..160.00 rows=1,200 width=664) (actual time=0.010..0.590 rows=1,217 loops=1)

256. 0.479 0.479 ↓ 1.0 980 1

Seq Scan on datas_part_0000009091 (cost=0.00..127.69 rows=969 width=667) (actual time=0.019..0.479 rows=980 loops=1)

257. 0.589 0.589 ↓ 1.0 1,205 1

Seq Scan on datas_part_0000009092 (cost=0.00..165.99 rows=1,199 width=665) (actual time=0.013..0.589 rows=1,205 loops=1)

258. 0.587 0.587 ↓ 1.0 1,216 1

Seq Scan on datas_part_0000009093 (cost=0.00..168.06 rows=1,206 width=667) (actual time=0.012..0.587 rows=1,216 loops=1)

259. 0.612 0.612 ↓ 1.0 1,268 1

Seq Scan on datas_part_0000009094 (cost=0.00..161.41 rows=1,241 width=666) (actual time=0.017..0.612 rows=1,268 loops=1)

260. 0.587 0.587 ↓ 1.0 1,216 1

Seq Scan on datas_part_0000009095 (cost=0.00..158.03 rows=1,203 width=665) (actual time=0.012..0.587 rows=1,216 loops=1)

261. 0.581 0.581 ↓ 1.0 1,197 1

Seq Scan on datas_part_0000009096 (cost=0.00..160.82 rows=1,182 width=663) (actual time=0.011..0.581 rows=1,197 loops=1)

262. 0.623 0.623 ↓ 1.0 1,289 1

Seq Scan on datas_part_0000009097 (cost=0.00..180.65 rows=1,265 width=665) (actual time=0.018..0.623 rows=1,289 loops=1)

263. 0.607 0.607 ↓ 1.0 1,280 1

Seq Scan on datas_part_0000009098 (cost=0.00..171.49 rows=1,249 width=666) (actual time=0.013..0.607 rows=1,280 loops=1)

264. 0.630 0.630 ↓ 1.0 1,259 1

Seq Scan on datas_part_0000009099 (cost=0.00..167.32 rows=1,232 width=665) (actual time=0.012..0.630 rows=1,259 loops=1)

265. 0.578 0.578 ↓ 1.0 1,224 1

Seq Scan on datas_part_0000009100 (cost=0.00..151.08 rows=1,208 width=669) (actual time=0.016..0.578 rows=1,224 loops=1)

266. 0.571 0.571 ↓ 1.0 1,202 1

Seq Scan on datas_part_0000009101 (cost=0.00..158.79 rows=1,179 width=669) (actual time=0.012..0.571 rows=1,202 loops=1)

267. 0.618 0.618 ↓ 1.0 1,288 1

Seq Scan on datas_part_0000009102 (cost=0.00..170.69 rows=1,269 width=667) (actual time=0.012..0.618 rows=1,288 loops=1)

268. 0.579 0.579 ↓ 1.0 1,203 1

Seq Scan on datas_part_0000009104 (cost=0.00..149.77 rows=1,177 width=668) (actual time=0.020..0.579 rows=1,203 loops=1)

269. 0.579 0.579 ↓ 1.0 1,208 1

Seq Scan on datas_part_0000009105 (cost=0.00..152.99 rows=1,199 width=664) (actual time=0.011..0.579 rows=1,208 loops=1)

270. 0.397 0.397 ↓ 1.0 814 1

Seq Scan on datas_part_0000009106 (cost=0.00..109.98 rows=798 width=656) (actual time=0.011..0.397 rows=814 loops=1)

271. 0.565 0.565 ↓ 1.0 1,178 1

Seq Scan on datas_part_0000009107 (cost=0.00..153.62 rows=1,162 width=669) (actual time=0.009..0.565 rows=1,178 loops=1)

272. 0.582 0.582 ↓ 1.0 1,222 1

Seq Scan on datas_part_0000009108 (cost=0.00..158.00 rows=1,200 width=664) (actual time=0.014..0.582 rows=1,222 loops=1)

273. 0.347 0.347 ↓ 1.0 706 1

Seq Scan on datas_part_0000009109 (cost=0.00..106.99 rows=699 width=650) (actual time=0.011..0.347 rows=706 loops=1)

274. 0.583 0.583 ↓ 1.0 1,233 1

Seq Scan on datas_part_0000009110 (cost=0.00..156.20 rows=1,220 width=665) (actual time=0.010..0.583 rows=1,233 loops=1)

275. 0.629 0.629 ↑ 1.0 1,252 1

Seq Scan on datas_part_0000009111 (cost=0.00..154.57 rows=1,257 width=666) (actual time=0.011..0.629 rows=1,252 loops=1)

276. 0.702 0.702 ↓ 1.0 1,257 1

Seq Scan on datas_part_0000009112 (cost=0.00..168.31 rows=1,231 width=664) (actual time=0.019..0.702 rows=1,257 loops=1)

277. 0.804 0.804 ↑ 1.0 1,234 1

Seq Scan on datas_part_0000009113 (cost=0.00..148.34 rows=1,234 width=666) (actual time=0.012..0.804 rows=1,234 loops=1)

278. 0.671 0.671 ↓ 1.0 1,217 1

Seq Scan on datas_part_0000009114 (cost=0.00..154.14 rows=1,214 width=667) (actual time=0.014..0.671 rows=1,217 loops=1)

279. 0.577 0.577 ↓ 1.0 1,222 1

Seq Scan on datas_part_0000009115 (cost=0.00..152.13 rows=1,213 width=667) (actual time=0.011..0.577 rows=1,222 loops=1)

280. 0.582 0.582 ↓ 1.0 1,200 1

Seq Scan on datas_part_0000009116 (cost=0.00..159.71 rows=1,171 width=666) (actual time=0.012..0.582 rows=1,200 loops=1)

281. 0.634 0.634 ↓ 1.0 1,220 1

Seq Scan on datas_part_0000009117 (cost=0.00..154.09 rows=1,209 width=664) (actual time=0.021..0.634 rows=1,220 loops=1)

282. 0.602 0.602 ↓ 1.0 1,254 1

Seq Scan on datas_part_0000009118 (cost=0.00..163.43 rows=1,243 width=665) (actual time=0.010..0.602 rows=1,254 loops=1)

283. 0.567 0.567 ↓ 1.0 1,196 1

Seq Scan on datas_part_0000009119 (cost=0.00..150.76 rows=1,176 width=666) (actual time=0.012..0.567 rows=1,196 loops=1)

284. 0.661 0.661 ↓ 1.0 1,264 1

Seq Scan on datas_part_0000009120 (cost=0.00..159.60 rows=1,260 width=664) (actual time=0.011..0.661 rows=1,264 loops=1)

285. 0.607 0.607 ↑ 1.0 1,267 1

Seq Scan on datas_part_0000009121 (cost=0.00..156.86 rows=1,286 width=666) (actual time=0.016..0.607 rows=1,267 loops=1)

286. 0.657 0.657 ↓ 1.1 1,258 1

Seq Scan on datas_part_0000009122 (cost=0.00..171.39 rows=1,139 width=667) (actual time=0.011..0.657 rows=1,258 loops=1)

287. 0.685 0.685 ↓ 1.0 1,264 1

Seq Scan on datas_part_0000009123 (cost=0.00..157.48 rows=1,248 width=665) (actual time=0.026..0.685 rows=1,264 loops=1)

288. 0.607 0.607 ↓ 1.0 1,265 1

Seq Scan on datas_part_0000009124 (cost=0.00..159.46 rows=1,246 width=665) (actual time=0.016..0.607 rows=1,265 loops=1)

289. 0.707 0.707 ↓ 1.0 1,279 1

Seq Scan on datas_part_0000009125 (cost=0.00..166.76 rows=1,276 width=667) (actual time=0.015..0.707 rows=1,279 loops=1)

290. 0.657 0.657 ↓ 1.0 1,266 1

Seq Scan on datas_part_0000009126 (cost=0.00..165.63 rows=1,263 width=665) (actual time=0.021..0.657 rows=1,266 loops=1)

291. 0.631 0.631 ↓ 1.0 1,324 1

Seq Scan on datas_part_0000009127 (cost=0.00..175.86 rows=1,286 width=665) (actual time=0.011..0.631 rows=1,324 loops=1)

292. 0.681 0.681 ↓ 1.0 1,267 1

Seq Scan on datas_part_0000009128 (cost=0.00..175.39 rows=1,239 width=665) (actual time=0.011..0.681 rows=1,267 loops=1)

293. 0.672 0.672 ↓ 1.0 1,300 1

Seq Scan on datas_part_0000009129 (cost=0.00..175.72 rows=1,272 width=666) (actual time=0.053..0.672 rows=1,300 loops=1)

294. 0.617 0.617 ↓ 1.0 1,293 1

Seq Scan on datas_part_0000009130 (cost=0.00..177.67 rows=1,267 width=665) (actual time=0.011..0.617 rows=1,293 loops=1)

295. 0.727 0.727 ↓ 1.1 1,231 1

Seq Scan on datas_part_0000009131 (cost=0.00..168.23 rows=1,123 width=664) (actual time=0.012..0.727 rows=1,231 loops=1)

296. 0.651 0.651 ↓ 1.0 1,333 1

Seq Scan on datas_part_0000009132 (cost=0.00..188.04 rows=1,304 width=664) (actual time=0.017..0.651 rows=1,333 loops=1)

297. 0.612 0.612 ↓ 1.0 1,261 1

Seq Scan on datas_part_0000009133 (cost=0.00..168.38 rows=1,238 width=665) (actual time=0.012..0.612 rows=1,261 loops=1)

298. 0.784 0.784 ↓ 1.0 1,268 1

Seq Scan on datas_part_0000009134 (cost=0.00..188.46 rows=1,246 width=666) (actual time=0.012..0.784 rows=1,268 loops=1)

299. 0.601 0.601 ↓ 1.0 1,223 1

Seq Scan on datas_part_0000009135 (cost=0.00..174.91 rows=1,191 width=666) (actual time=0.018..0.601 rows=1,223 loops=1)

300. 0.640 0.640 ↓ 1.0 1,324 1

Seq Scan on datas_part_0000009136 (cost=0.00..182.98 rows=1,298 width=664) (actual time=0.012..0.640 rows=1,324 loops=1)

301. 0.738 0.738 ↓ 1.0 1,312 1

Seq Scan on datas_part_0000009137 (cost=0.00..167.88 rows=1,288 width=664) (actual time=0.012..0.738 rows=1,312 loops=1)

302. 0.613 0.613 ↑ 1.0 1,339 1

Seq Scan on datas_part_0000009138 (cost=0.00..149.39 rows=1,339 width=665) (actual time=0.014..0.613 rows=1,339 loops=1)

303. 0.636 0.636 ↑ 1.0 1,258 1

Seq Scan on datas_part_0000009139 (cost=0.00..204.58 rows=1,258 width=667) (actual time=0.010..0.636 rows=1,258 loops=1)

304. 0.704 0.704 ↓ 1.1 1,255 1

Seq Scan on datas_part_0000009140 (cost=0.00..192.75 rows=1,175 width=668) (actual time=0.012..0.704 rows=1,255 loops=1)

305. 0.476 0.476 ↓ 1.0 948 1

Seq Scan on datas_part_0000009141 (cost=0.00..136.36 rows=936 width=658) (actual time=0.019..0.476 rows=948 loops=1)

306. 0.670 0.670 ↑ 1.0 1,295 1

Seq Scan on datas_part_0000009142 (cost=0.00..152.95 rows=1,295 width=663) (actual time=0.013..0.670 rows=1,295 loops=1)

307. 0.712 0.712 ↑ 1.0 1,272 1

Seq Scan on datas_part_0000009144 (cost=0.00..194.88 rows=1,288 width=668) (actual time=0.011..0.712 rows=1,272 loops=1)

308. 0.620 0.620 ↓ 1.0 1,295 1

Seq Scan on datas_part_0000009145 (cost=0.00..174.78 rows=1,278 width=661) (actual time=0.014..0.620 rows=1,295 loops=1)

309. 0.609 0.609 ↓ 1.0 1,243 1

Seq Scan on datas_part_0000009146 (cost=0.00..173.16 rows=1,216 width=664) (actual time=0.012..0.609 rows=1,243 loops=1)

310. 0.743 0.743 ↓ 1.0 1,268 1

Seq Scan on datas_part_0000009148 (cost=0.00..183.38 rows=1,238 width=666) (actual time=0.013..0.743 rows=1,268 loops=1)

311. 0.636 0.636 ↓ 1.0 1,278 1

Seq Scan on datas_part_0000009149 (cost=0.00..181.38 rows=1,238 width=665) (actual time=0.020..0.636 rows=1,278 loops=1)

312. 0.622 0.622 ↑ 1.0 1,320 1

Seq Scan on datas_part_0000009150 (cost=0.00..160.26 rows=1,326 width=665) (actual time=0.010..0.622 rows=1,320 loops=1)

313. 0.674 0.674 ↓ 1.0 1,234 1

Seq Scan on datas_part_0000009151 (cost=0.00..168.08 rows=1,208 width=666) (actual time=0.012..0.674 rows=1,234 loops=1)

314. 0.653 0.653 ↑ 1.0 1,324 1

Seq Scan on datas_part_0000009152 (cost=0.00..177.24 rows=1,324 width=664) (actual time=0.016..0.653 rows=1,324 loops=1)

315. 0.624 0.624 ↑ 1.0 1,252 1

Seq Scan on datas_part_0000009153 (cost=0.00..191.52 rows=1,252 width=666) (actual time=0.012..0.624 rows=1,252 loops=1)

316. 1.239 1.239 ↓ 1.0 1,314 1

Seq Scan on datas_part_0000009154 (cost=0.00..182.05 rows=1,305 width=664) (actual time=0.016..1.239 rows=1,314 loops=1)

317. 1.183 1.183 ↓ 1.0 1,255 1

Seq Scan on datas_part_0000009155 (cost=0.00..194.17 rows=1,217 width=668) (actual time=0.030..1.183 rows=1,255 loops=1)

318. 0.632 0.632 ↓ 1.0 1,267 1

Seq Scan on datas_part_0000009156 (cost=0.00..201.52 rows=1,252 width=666) (actual time=0.014..0.632 rows=1,267 loops=1)

319. 0.622 0.622 ↓ 1.0 1,276 1

Seq Scan on datas_part_0000009158 (cost=0.00..184.72 rows=1,272 width=668) (actual time=0.013..0.622 rows=1,276 loops=1)

320. 0.720 0.720 ↓ 1.1 1,305 1

Seq Scan on datas_part_0000009159 (cost=0.00..164.83 rows=1,183 width=663) (actual time=0.012..0.720 rows=1,305 loops=1)

321. 0.629 0.629 ↓ 1.0 1,287 1

Seq Scan on datas_part_0000009160 (cost=0.00..181.50 rows=1,250 width=668) (actual time=0.019..0.629 rows=1,287 loops=1)

322. 0.631 0.631 ↓ 1.0 1,325 1

Seq Scan on datas_part_0000009161 (cost=0.00..164.98 rows=1,298 width=665) (actual time=0.012..0.631 rows=1,325 loops=1)

323. 0.665 0.665 ↓ 1.0 1,257 1

Seq Scan on datas_part_0000009162 (cost=0.00..187.26 rows=1,226 width=665) (actual time=0.012..0.665 rows=1,257 loops=1)

324. 0.633 0.633 ↓ 1.0 1,286 1

Seq Scan on datas_part_0000009163 (cost=0.00..192.76 rows=1,276 width=665) (actual time=0.018..0.633 rows=1,286 loops=1)

325. 0.612 0.612 ↓ 1.0 1,285 1

Seq Scan on datas_part_0000009164 (cost=0.00..180.51 rows=1,251 width=666) (actual time=0.012..0.612 rows=1,285 loops=1)

326. 0.752 0.752 ↓ 1.0 1,314 1

Seq Scan on datas_part_0000009165 (cost=0.00..178.83 rows=1,283 width=665) (actual time=0.011..0.752 rows=1,314 loops=1)

327. 0.643 0.643 ↓ 1.0 1,324 1

Seq Scan on datas_part_0000009166 (cost=0.00..184.06 rows=1,306 width=665) (actual time=0.019..0.643 rows=1,324 loops=1)

328. 0.644 0.644 ↓ 1.0 1,332 1

Seq Scan on datas_part_0000009167 (cost=0.00..179.99 rows=1,299 width=665) (actual time=0.011..0.644 rows=1,332 loops=1)

329. 0.664 0.664 ↑ 1.0 1,304 1

Seq Scan on datas_part_0000009168 (cost=0.00..210.62 rows=1,362 width=663) (actual time=0.013..0.664 rows=1,304 loops=1)

330. 0.681 0.681 ↓ 1.0 1,313 1

Seq Scan on datas_part_0000009169 (cost=0.00..181.80 rows=1,280 width=664) (actual time=0.016..0.681 rows=1,313 loops=1)

331. 0.645 0.645 ↓ 1.0 1,264 1

Seq Scan on datas_part_0000009170 (cost=0.00..185.41 rows=1,241 width=663) (actual time=0.012..0.645 rows=1,264 loops=1)

332. 0.652 0.652 ↑ 1.0 1,313 1

Seq Scan on datas_part_0000009171 (cost=0.00..185.13 rows=1,313 width=666) (actual time=0.019..0.652 rows=1,313 loops=1)

333. 0.635 0.635 ↓ 1.0 1,316 1

Seq Scan on datas_part_0000009172 (cost=0.00..180.03 rows=1,303 width=667) (actual time=0.012..0.635 rows=1,316 loops=1)

334. 0.634 0.634 ↓ 1.0 1,321 1

Seq Scan on datas_part_0000009173 (cost=0.00..176.90 rows=1,290 width=664) (actual time=0.012..0.634 rows=1,321 loops=1)

335. 0.648 0.648 ↑ 1.0 1,327 1

Seq Scan on datas_part_0000009174 (cost=0.00..196.27 rows=1,327 width=667) (actual time=0.014..0.648 rows=1,327 loops=1)

336. 0.632 0.632 ↓ 1.0 1,330 1

Seq Scan on datas_part_0000009175 (cost=0.00..175.10 rows=1,310 width=664) (actual time=0.011..0.632 rows=1,330 loops=1)

337. 0.649 0.649 ↓ 1.0 1,336 1

Seq Scan on datas_part_0000009176 (cost=0.00..201.93 rows=1,293 width=668) (actual time=0.011..0.649 rows=1,336 loops=1)

338. 0.656 0.656 ↑ 1.0 1,331 1

Seq Scan on datas_part_0000009178 (cost=0.00..183.31 rows=1,331 width=666) (actual time=0.019..0.656 rows=1,331 loops=1)

339. 0.636 0.636 ↑ 1.0 1,331 1

Seq Scan on datas_part_0000009179 (cost=0.00..175.31 rows=1,331 width=664) (actual time=0.012..0.636 rows=1,331 loops=1)

340. 0.656 0.656 ↓ 1.0 1,327 1

Seq Scan on datas_part_0000009180 (cost=0.00..176.24 rows=1,324 width=664) (actual time=0.012..0.656 rows=1,327 loops=1)

341. 0.635 0.635 ↑ 1.0 1,332 1

Seq Scan on datas_part_0000009181 (cost=0.00..166.32 rows=1,332 width=667) (actual time=0.017..0.635 rows=1,332 loops=1)

342. 0.741 0.741 ↓ 1.0 1,322 1

Seq Scan on datas_part_0000009182 (cost=0.00..184.12 rows=1,312 width=666) (actual time=0.012..0.741 rows=1,322 loops=1)

343. 0.662 0.662 ↓ 1.0 1,330 1

Seq Scan on datas_part_0000009183 (cost=0.00..190.92 rows=1,292 width=665) (actual time=0.014..0.662 rows=1,330 loops=1)

344. 0.653 0.653 ↑ 1.0 1,330 1

Seq Scan on datas_part_0000009184 (cost=0.00..192.30 rows=1,330 width=664) (actual time=0.019..0.653 rows=1,330 loops=1)

345. 0.631 0.631 ↑ 1.0 1,323 1

Seq Scan on datas_part_0000009185 (cost=0.00..193.23 rows=1,323 width=666) (actual time=0.014..0.631 rows=1,323 loops=1)

346. 0.640 0.640 ↓ 1.0 1,332 1

Seq Scan on datas_part_0000009186 (cost=0.00..177.03 rows=1,303 width=665) (actual time=0.011..0.640 rows=1,332 loops=1)

347. 0.648 0.648 ↓ 1.0 1,332 1

Seq Scan on datas_part_0000009187 (cost=0.00..175.98 rows=1,298 width=668) (actual time=0.016..0.648 rows=1,332 loops=1)

348. 0.703 0.703 ↓ 1.1 1,319 1

Seq Scan on datas_part_0000009188 (cost=0.00..182.95 rows=1,195 width=666) (actual time=0.013..0.703 rows=1,319 loops=1)

349. 0.703 0.703 ↓ 1.0 1,320 1

Seq Scan on datas_part_0000009189 (cost=0.00..176.89 rows=1,289 width=664) (actual time=0.013..0.703 rows=1,320 loops=1)

350. 0.651 0.651 ↓ 1.0 1,324 1

Seq Scan on datas_part_0000009190 (cost=0.00..185.83 rows=1,283 width=668) (actual time=0.019..0.651 rows=1,324 loops=1)

351. 0.668 0.668 ↓ 1.0 1,319 1

Seq Scan on datas_part_0000009191 (cost=0.00..191.05 rows=1,305 width=666) (actual time=0.012..0.668 rows=1,319 loops=1)

352. 0.634 0.634 ↓ 1.0 1,325 1

Seq Scan on datas_part_0000009192 (cost=0.00..178.98 rows=1,298 width=667) (actual time=0.014..0.634 rows=1,325 loops=1)

353. 0.652 0.652 ↓ 1.0 1,323 1

Seq Scan on datas_part_0000009193 (cost=0.00..211.10 rows=1,310 width=668) (actual time=0.014..0.652 rows=1,323 loops=1)

354. 0.027 0.027 ↑ 1.4 40 1

Seq Scan on datas_part_0000009195 (cost=0.00..3.57 rows=57 width=277) (actual time=0.013..0.027 rows=40 loops=1)

355. 0.651 0.651 ↑ 1.0 1,313 1

Seq Scan on datas_part_0000009196 (cost=0.00..197.13 rows=1,313 width=664) (actual time=0.013..0.651 rows=1,313 loops=1)

356. 0.642 0.642 ↓ 1.0 1,300 1

Seq Scan on datas_part_0000009197 (cost=0.00..190.81 rows=1,281 width=665) (actual time=0.022..0.642 rows=1,300 loops=1)

357. 0.633 0.633 ↑ 1.0 1,327 1

Seq Scan on datas_part_0000009198 (cost=0.00..182.35 rows=1,335 width=667) (actual time=0.013..0.633 rows=1,327 loops=1)

358. 0.649 0.649 ↓ 1.0 1,309 1

Seq Scan on datas_part_0000009199 (cost=0.00..169.93 rows=1,293 width=664) (actual time=0.013..0.649 rows=1,309 loops=1)

359. 0.679 0.679 ↓ 1.1 1,304 1

Seq Scan on datas_part_0000009200 (cost=0.00..199.79 rows=1,179 width=666) (actual time=0.017..0.679 rows=1,304 loops=1)

360. 0.630 0.630 ↓ 1.0 1,295 1

Seq Scan on datas_part_0000009201 (cost=0.00..185.87 rows=1,287 width=666) (actual time=0.014..0.630 rows=1,295 loops=1)

361. 0.672 0.672 ↓ 1.0 1,317 1

Seq Scan on datas_part_0000009202 (cost=0.00..169.12 rows=1,312 width=664) (actual time=0.012..0.672 rows=1,317 loops=1)

362. 0.645 0.645 ↓ 1.0 1,318 1

Seq Scan on datas_part_0000009203 (cost=0.00..178.89 rows=1,289 width=668) (actual time=0.021..0.645 rows=1,318 loops=1)

363. 0.694 0.694 ↓ 1.0 1,332 1

Seq Scan on datas_part_0000009204 (cost=0.00..181.88 rows=1,288 width=666) (actual time=0.012..0.694 rows=1,332 loops=1)

364. 0.692 0.692 ↓ 1.0 1,309 1

Seq Scan on datas_part_0000009205 (cost=0.00..187.74 rows=1,274 width=665) (actual time=0.013..0.692 rows=1,309 loops=1)

365. 0.638 0.638 ↓ 1.0 1,336 1

Seq Scan on datas_part_0000009207 (cost=0.00..177.11 rows=1,311 width=668) (actual time=0.017..0.638 rows=1,336 loops=1)

366. 0.642 0.642 ↓ 1.0 1,320 1

Seq Scan on datas_part_0000009208 (cost=0.00..197.72 rows=1,272 width=667) (actual time=0.012..0.642 rows=1,320 loops=1)

367. 1.040 1.040 ↑ 1.0 1,272 1

Seq Scan on datas_part_0000009209 (cost=0.00..167.72 rows=1,272 width=666) (actual time=0.011..1.040 rows=1,272 loops=1)

368. 1.287 1.287 ↓ 1.0 1,329 1

Seq Scan on datas_part_0000009210 (cost=0.00..183.04 rows=1,304 width=667) (actual time=0.033..1.287 rows=1,329 loops=1)

369. 0.631 0.631 ↓ 1.0 1,327 1

Seq Scan on datas_part_0000009211 (cost=0.00..159.16 rows=1,316 width=665) (actual time=0.014..0.631 rows=1,327 loops=1)

370. 0.638 0.638 ↑ 1.0 1,329 1

Seq Scan on datas_part_0000009212 (cost=0.00..170.29 rows=1,329 width=667) (actual time=0.012..0.638 rows=1,329 loops=1)

371. 0.719 0.719 ↓ 1.0 1,300 1

Seq Scan on datas_part_0000009213 (cost=0.00..178.97 rows=1,297 width=665) (actual time=0.011..0.719 rows=1,300 loops=1)

372. 0.635 0.635 ↓ 1.0 1,276 1

Seq Scan on datas_part_0000009214 (cost=0.00..167.57 rows=1,257 width=666) (actual time=0.017..0.635 rows=1,276 loops=1)

373. 0.618 0.618 ↓ 1.0 1,273 1

Seq Scan on datas_part_0000009215 (cost=0.00..170.55 rows=1,255 width=666) (actual time=0.014..0.618 rows=1,273 loops=1)

374. 0.632 0.632 ↓ 1.0 1,241 1

Seq Scan on datas_part_0000009216 (cost=0.00..171.21 rows=1,221 width=659) (actual time=0.012..0.632 rows=1,241 loops=1)

375. 0.642 0.642 ↓ 1.0 1,266 1

Seq Scan on datas_part_0000009217 (cost=0.00..181.39 rows=1,239 width=664) (actual time=0.021..0.642 rows=1,266 loops=1)

376. 0.715 0.715 ↓ 1.0 1,274 1

Seq Scan on datas_part_0000009218 (cost=0.00..167.71 rows=1,271 width=664) (actual time=0.012..0.715 rows=1,274 loops=1)

377. 0.676 0.676 ↑ 1.0 1,292 1

Seq Scan on datas_part_0000009219 (cost=0.00..198.92 rows=1,292 width=662) (actual time=0.014..0.676 rows=1,292 loops=1)

378. 0.636 0.636 ↓ 1.0 1,275 1

Seq Scan on datas_part_0000009220 (cost=0.00..181.46 rows=1,246 width=667) (actual time=0.022..0.636 rows=1,275 loops=1)

379. 0.642 0.642 ↓ 1.0 1,269 1

Seq Scan on datas_part_0000009221 (cost=0.00..196.51 rows=1,251 width=664) (actual time=0.013..0.642 rows=1,269 loops=1)

380. 0.588 0.588 ↓ 1.0 1,200 1

Seq Scan on datas_part_0000009222 (cost=0.00..158.83 rows=1,183 width=663) (actual time=0.020..0.588 rows=1,200 loops=1)

381. 0.628 0.628 ↑ 1.0 1,274 1

Seq Scan on datas_part_0000009223 (cost=0.00..188.06 rows=1,306 width=665) (actual time=0.010..0.628 rows=1,274 loops=1)

382. 0.640 0.640 ↓ 1.1 1,268 1

Seq Scan on datas_part_0000009224 (cost=0.00..178.45 rows=1,145 width=667) (actual time=0.016..0.640 rows=1,268 loops=1)

383. 0.631 0.631 ↓ 1.0 1,266 1

Seq Scan on datas_part_0000009225 (cost=0.00..192.64 rows=1,264 width=665) (actual time=0.016..0.631 rows=1,266 loops=1)

384. 0.632 0.632 ↓ 1.0 1,280 1

Seq Scan on datas_part_0000009226 (cost=0.00..187.44 rows=1,244 width=664) (actual time=0.014..0.632 rows=1,280 loops=1)

385. 0.709 0.709 ↓ 1.0 1,276 1

Seq Scan on datas_part_0000009227 (cost=0.00..167.56 rows=1,256 width=665) (actual time=0.011..0.709 rows=1,276 loops=1)

386. 0.612 0.612 ↓ 1.0 1,287 1

Seq Scan on datas_part_0000009228 (cost=0.00..168.80 rows=1,280 width=664) (actual time=0.017..0.612 rows=1,287 loops=1)

387. 0.662 0.662 ↓ 1.0 1,261 1

Seq Scan on datas_part_0000009229 (cost=0.00..172.40 rows=1,240 width=664) (actual time=0.011..0.662 rows=1,261 loops=1)

388. 0.678 0.678 ↓ 1.0 1,241 1

Seq Scan on datas_part_0000009230 (cost=0.00..161.17 rows=1,217 width=663) (actual time=0.013..0.678 rows=1,241 loops=1)

389. 0.601 0.601 ↓ 1.0 1,275 1

Seq Scan on datas_part_0000009231 (cost=0.00..164.49 rows=1,249 width=662) (actual time=0.017..0.601 rows=1,275 loops=1)

390. 0.299 0.299 ↓ 1.0 588 1

Seq Scan on datas_part_0000009232 (cost=0.00..88.87 rows=587 width=649) (actual time=0.012..0.299 rows=588 loops=1)

391. 0.705 0.705 ↑ 1.0 1,296 1

Seq Scan on datas_part_0000009234 (cost=0.00..180.96 rows=1,296 width=665) (actual time=0.013..0.705 rows=1,296 loops=1)

392. 0.616 0.616 ↑ 1.0 1,282 1

Seq Scan on datas_part_0000009235 (cost=0.00..178.17 rows=1,317 width=665) (actual time=0.015..0.616 rows=1,282 loops=1)

393. 0.602 0.602 ↓ 1.0 1,273 1

Seq Scan on datas_part_0000009236 (cost=0.00..165.60 rows=1,260 width=666) (actual time=0.012..0.602 rows=1,273 loops=1)

394. 0.693 0.693 ↓ 1.0 1,226 1

Seq Scan on datas_part_0000009237 (cost=0.00..165.08 rows=1,208 width=664) (actual time=0.011..0.693 rows=1,226 loops=1)

395. 0.613 0.613 ↓ 1.0 1,266 1

Seq Scan on datas_part_0000009238 (cost=0.00..180.51 rows=1,251 width=664) (actual time=0.018..0.613 rows=1,266 loops=1)

396. 0.608 0.608 ↑ 1.0 1,274 1

Seq Scan on datas_part_0000009239 (cost=0.00..171.74 rows=1,274 width=664) (actual time=0.012..0.608 rows=1,274 loops=1)

397. 0.602 0.602 ↓ 1.0 1,240 1

Seq Scan on datas_part_0000009240 (cost=0.00..170.21 rows=1,221 width=667) (actual time=0.012..0.602 rows=1,240 loops=1)

398. 0.624 0.624 ↓ 1.0 1,254 1

Seq Scan on datas_part_0000009241 (cost=0.00..190.12 rows=1,212 width=664) (actual time=0.015..0.624 rows=1,254 loops=1)

399. 0.615 0.615 ↓ 1.0 1,267 1

Seq Scan on datas_part_0000009242 (cost=0.00..181.37 rows=1,237 width=665) (actual time=0.012..0.615 rows=1,267 loops=1)

400. 0.631 0.631 ↑ 1.0 1,271 1

Seq Scan on datas_part_0000009243 (cost=0.00..184.84 rows=1,284 width=666) (actual time=0.011..0.631 rows=1,271 loops=1)

401. 0.616 0.616 ↑ 1.0 1,285 1

Seq Scan on datas_part_0000009244 (cost=0.00..167.90 rows=1,290 width=666) (actual time=0.018..0.616 rows=1,285 loops=1)

402. 0.617 0.617 ↑ 1.0 1,288 1

Seq Scan on datas_part_0000009245 (cost=0.00..175.88 rows=1,288 width=665) (actual time=0.012..0.617 rows=1,288 loops=1)

403. 0.618 0.618 ↓ 1.0 1,272 1

Seq Scan on datas_part_0000009246 (cost=0.00..188.53 rows=1,253 width=664) (actual time=0.012..0.618 rows=1,272 loops=1)

404. 0.657 0.657 ↓ 1.1 1,281 1

Seq Scan on datas_part_0000009247 (cost=0.00..170.61 rows=1,161 width=666) (actual time=0.017..0.657 rows=1,281 loops=1)

405. 0.637 0.637 ↑ 1.1 1,287 1

Seq Scan on datas_part_0000009248 (cost=0.00..199.09 rows=1,409 width=666) (actual time=0.011..0.637 rows=1,287 loops=1)

406. 0.631 0.631 ↑ 1.0 1,287 1

Seq Scan on datas_part_0000009249 (cost=0.00..179.23 rows=1,323 width=664) (actual time=0.011..0.631 rows=1,287 loops=1)

407. 0.638 0.638 ↓ 1.0 1,257 1

Seq Scan on datas_part_0000009250 (cost=0.00..155.39 rows=1,239 width=662) (actual time=0.020..0.638 rows=1,257 loops=1)

408. 0.661 0.661 ↑ 1.0 1,296 1

Seq Scan on datas_part_0000009251 (cost=0.00..185.96 rows=1,296 width=664) (actual time=0.010..0.661 rows=1,296 loops=1)

409. 0.695 0.695 ↓ 1.0 1,258 1

Seq Scan on datas_part_0000009252 (cost=0.00..180.33 rows=1,233 width=666) (actual time=0.012..0.695 rows=1,258 loops=1)

410. 0.628 0.628 ↓ 1.0 1,286 1

Seq Scan on datas_part_0000009253 (cost=0.00..198.63 rows=1,263 width=665) (actual time=0.016..0.628 rows=1,286 loops=1)

411. 0.607 0.607 ↓ 1.0 1,286 1

Seq Scan on datas_part_0000009254 (cost=0.00..161.73 rows=1,273 width=665) (actual time=0.012..0.607 rows=1,286 loops=1)

412. 0.612 0.612 ↓ 1.0 1,269 1

Seq Scan on datas_part_0000009255 (cost=0.00..169.41 rows=1,241 width=666) (actual time=0.012..0.612 rows=1,269 loops=1)

413. 0.623 0.623 ↓ 1.0 1,322 1

Seq Scan on datas_part_0000009256 (cost=0.00..164.01 rows=1,301 width=664) (actual time=0.019..0.623 rows=1,322 loops=1)

414. 0.621 0.621 ↓ 1.0 1,302 1

Seq Scan on datas_part_0000009257 (cost=0.00..171.75 rows=1,275 width=664) (actual time=0.012..0.621 rows=1,302 loops=1)

415. 0.757 0.757 ↓ 1.0 1,294 1

Seq Scan on datas_part_0000009258 (cost=0.00..180.62 rows=1,262 width=664) (actual time=0.011..0.757 rows=1,294 loops=1)

416. 0.618 0.618 ↓ 1.0 1,294 1

Seq Scan on datas_part_0000009259 (cost=0.00..170.68 rows=1,268 width=662) (actual time=0.017..0.618 rows=1,294 loops=1)

417. 0.620 0.620 ↓ 1.0 1,291 1

Seq Scan on datas_part_0000009260 (cost=0.00..169.80 rows=1,280 width=664) (actual time=0.011..0.620 rows=1,291 loops=1)

418. 0.737 0.737 ↓ 1.0 1,320 1

Seq Scan on datas_part_0000009261 (cost=0.00..192.13 rows=1,313 width=664) (actual time=0.012..0.737 rows=1,320 loops=1)

419. 0.581 0.581 ↓ 1.0 1,181 1

Seq Scan on datas_part_0000009262 (cost=0.00..169.71 rows=1,171 width=661) (actual time=0.020..0.581 rows=1,181 loops=1)

420. 0.633 0.633 ↓ 1.0 1,332 1

Seq Scan on datas_part_0000009263 (cost=0.00..183.98 rows=1,298 width=666) (actual time=0.011..0.633 rows=1,332 loops=1)

421. 0.716 0.716 ↓ 1.0 1,257 1

Seq Scan on datas_part_0000009264 (cost=0.00..177.23 rows=1,223 width=664) (actual time=0.012..0.716 rows=1,257 loops=1)

422. 0.514 0.514 ↓ 1.0 1,065 1

Seq Scan on datas_part_0000009265 (cost=0.00..134.58 rows=1,058 width=663) (actual time=0.016..0.514 rows=1,065 loops=1)

423. 0.625 0.625 ↓ 1.0 1,318 1

Seq Scan on datas_part_0000009266 (cost=0.00..173.00 rows=1,300 width=666) (actual time=0.010..0.625 rows=1,318 loops=1)

424. 0.614 0.614 ↑ 1.0 1,331 1

Seq Scan on datas_part_0000009267 (cost=0.00..164.31 rows=1,331 width=666) (actual time=0.011..0.614 rows=1,331 loops=1)

425. 0.639 0.639 ↓ 1.1 1,321 1

Seq Scan on datas_part_0000009268 (cost=0.00..171.42 rows=1,242 width=664) (actual time=0.019..0.639 rows=1,321 loops=1)

426. 0.608 0.608 ↓ 1.0 1,186 1

Seq Scan on datas_part_0000009269 (cost=0.00..196.68 rows=1,168 width=663) (actual time=0.013..0.608 rows=1,186 loops=1)

427. 0.657 0.657 ↑ 1.0 1,322 1

Seq Scan on datas_part_0000009270 (cost=0.00..189.40 rows=1,340 width=667) (actual time=0.012..0.657 rows=1,322 loops=1)

428. 0.633 0.633 ↓ 1.0 1,325 1

Seq Scan on datas_part_0000009271 (cost=0.00..167.01 rows=1,301 width=668) (actual time=0.013..0.633 rows=1,325 loops=1)

429. 0.609 0.609 ↓ 1.0 1,243 1

Seq Scan on datas_part_0000009272 (cost=0.00..171.37 rows=1,237 width=664) (actual time=0.012..0.609 rows=1,243 loops=1)

430. 0.687 0.687 ↓ 1.0 1,305 1

Seq Scan on datas_part_0000009273 (cost=0.00..158.92 rows=1,292 width=665) (actual time=0.012..0.687 rows=1,305 loops=1)

431. 0.620 0.620 ↑ 1.0 1,323 1

Seq Scan on datas_part_0000009274 (cost=0.00..154.33 rows=1,333 width=665) (actual time=0.020..0.620 rows=1,323 loops=1)

432. 0.707 0.707 ↓ 1.1 1,250 1

Seq Scan on datas_part_0000009275 (cost=0.00..243.28 rows=1,128 width=668) (actual time=0.013..0.707 rows=1,250 loops=1)

433. 0.761 0.761 ↑ 1.0 1,257 1

Seq Scan on datas_part_0000009276 (cost=0.00..224.69 rows=1,269 width=664) (actual time=0.013..0.761 rows=1,257 loops=1)

434. 0.637 0.637 ↑ 1.0 1,337 1

Seq Scan on datas_part_0000009277 (cost=0.00..178.37 rows=1,337 width=664) (actual time=0.017..0.637 rows=1,337 loops=1)

435. 0.696 0.696 ↓ 1.0 1,275 1

Seq Scan on datas_part_0000009278 (cost=0.00..210.41 rows=1,241 width=667) (actual time=0.011..0.696 rows=1,275 loops=1)

436. 0.771 0.771 ↓ 1.0 1,279 1

Seq Scan on datas_part_0000009279 (cost=0.00..237.27 rows=1,227 width=667) (actual time=0.014..0.771 rows=1,279 loops=1)

437. 0.688 0.688 ↓ 1.0 1,253 1

Seq Scan on datas_part_0000009280 (cost=0.00..170.26 rows=1,226 width=667) (actual time=0.100..0.688 rows=1,253 loops=1)

438. 0.741 0.741 ↓ 1.0 1,338 1

Seq Scan on datas_part_0000009281 (cost=0.00..216.84 rows=1,284 width=664) (actual time=0.011..0.741 rows=1,338 loops=1)

439. 0.672 0.672 ↓ 1.0 1,297 1

Seq Scan on datas_part_0000009282 (cost=0.00..169.77 rows=1,277 width=666) (actual time=0.016..0.672 rows=1,297 loops=1)

440. 0.609 0.609 ↓ 1.0 1,231 1

Seq Scan on datas_part_0000009283 (cost=0.00..190.89 rows=1,189 width=668) (actual time=0.011..0.609 rows=1,231 loops=1)

441. 0.672 0.672 ↓ 1.0 1,304 1

Seq Scan on datas_part_0000009284 (cost=0.00..180.73 rows=1,273 width=663) (actual time=0.012..0.672 rows=1,304 loops=1)

442. 0.635 0.635 ↑ 1.0 1,243 1

Seq Scan on datas_part_0000009285 (cost=0.00..194.46 rows=1,246 width=668) (actual time=0.019..0.635 rows=1,243 loops=1)

443. 0.638 0.638 ↑ 1.0 1,312 1

Seq Scan on datas_part_0000009286 (cost=0.00..193.12 rows=1,312 width=669) (actual time=0.012..0.638 rows=1,312 loops=1)

444. 0.637 0.637 ↓ 1.0 1,205 1

Seq Scan on datas_part_0000009287 (cost=0.00..153.91 rows=1,191 width=664) (actual time=0.012..0.637 rows=1,205 loops=1)

445. 0.603 0.603 ↓ 1.0 1,233 1

Seq Scan on datas_part_0000009288 (cost=0.00..181.00 rows=1,200 width=667) (actual time=0.014..0.603 rows=1,233 loops=1)

446. 0.620 0.620 ↓ 1.0 1,248 1

Seq Scan on datas_part_0000009289 (cost=0.00..180.26 rows=1,226 width=668) (actual time=0.012..0.620 rows=1,248 loops=1)

447. 0.715 0.715 ↓ 1.0 1,249 1

Seq Scan on datas_part_0000009291 (cost=0.00..172.29 rows=1,229 width=664) (actual time=0.011..0.715 rows=1,249 loops=1)

448. 0.641 0.641 ↓ 1.0 1,324 1

Seq Scan on datas_part_0000009292 (cost=0.00..172.15 rows=1,315 width=667) (actual time=0.019..0.641 rows=1,324 loops=1)

449. 0.610 0.610 ↓ 1.0 1,272 1

Seq Scan on datas_part_0000009293 (cost=0.00..169.55 rows=1,255 width=665) (actual time=0.011..0.610 rows=1,272 loops=1)

450. 0.615 0.615 ↓ 1.0 1,228 1

Seq Scan on datas_part_0000009294 (cost=0.00..176.97 rows=1,197 width=660) (actual time=0.012..0.615 rows=1,228 loops=1)

451. 0.710 0.710 ↓ 1.0 1,277 1

Seq Scan on datas_part_0000009295 (cost=0.00..180.43 rows=1,243 width=665) (actual time=0.013..0.710 rows=1,277 loops=1)

452. 0.609 0.609 ↓ 1.0 1,254 1

Seq Scan on datas_part_0000009296 (cost=0.00..174.35 rows=1,235 width=668) (actual time=0.012..0.609 rows=1,254 loops=1)

453. 0.756 0.756 ↑ 1.0 1,277 1

Seq Scan on datas_part_0000009297 (cost=0.00..182.77 rows=1,277 width=664) (actual time=0.013..0.756 rows=1,277 loops=1)

454. 0.621 0.621 ↓ 1.0 1,271 1

Seq Scan on datas_part_0000009298 (cost=0.00..175.47 rows=1,247 width=667) (actual time=0.021..0.621 rows=1,271 loops=1)

455. 0.613 0.613 ↓ 1.0 1,274 1

Seq Scan on datas_part_0000009299 (cost=0.00..173.15 rows=1,215 width=666) (actual time=0.010..0.613 rows=1,274 loops=1)

456. 0.665 0.665 ↓ 1.0 1,237 1

Seq Scan on datas_part_0000009300 (cost=0.00..207.05 rows=1,205 width=664) (actual time=0.012..0.665 rows=1,237 loops=1)

457. 0.610 0.610 ↓ 1.1 1,266 1

Seq Scan on datas_part_0000009301 (cost=0.00..159.73 rows=1,173 width=666) (actual time=0.016..0.610 rows=1,266 loops=1)

458. 0.631 0.631 ↓ 1.0 1,267 1

Seq Scan on datas_part_0000009302 (cost=0.00..187.41 rows=1,241 width=664) (actual time=0.011..0.631 rows=1,267 loops=1)

459. 0.913 0.913 ↓ 1.0 1,264 1

Seq Scan on datas_part_0000009303 (cost=0.00..163.49 rows=1,249 width=667) (actual time=0.012..0.913 rows=1,264 loops=1)

460. 1.462 1.462 ↑ 1.0 1,273 1

Seq Scan on datas_part_0000009304 (cost=0.00..182.73 rows=1,273 width=664) (actual time=0.040..1.462 rows=1,273 loops=1)

461. 0.682 0.682 ↑ 1.0 1,267 1

Seq Scan on datas_part_0000009305 (cost=0.00..186.67 rows=1,267 width=663) (actual time=0.016..0.682 rows=1,267 loops=1)

462. 0.620 0.620 ↓ 1.0 1,278 1

Seq Scan on datas_part_0000009306 (cost=0.00..170.49 rows=1,249 width=665) (actual time=0.013..0.620 rows=1,278 loops=1)

463. 0.699 0.699 ↓ 1.0 1,264 1

Seq Scan on datas_part_0000009307 (cost=0.00..185.41 rows=1,241 width=665) (actual time=0.011..0.699 rows=1,264 loops=1)

464. 0.623 0.623 ↓ 1.0 1,270 1

Seq Scan on datas_part_0000009309 (cost=0.00..185.49 rows=1,249 width=663) (actual time=0.018..0.623 rows=1,270 loops=1)

465. 0.616 0.616 ↓ 1.0 1,287 1

Seq Scan on datas_part_0000009310 (cost=0.00..176.82 rows=1,282 width=665) (actual time=0.011..0.616 rows=1,287 loops=1)

466. 0.670 0.670 ↑ 1.0 1,258 1

Seq Scan on datas_part_0000009311 (cost=0.00..187.58 rows=1,258 width=669) (actual time=0.012..0.670 rows=1,258 loops=1)

467. 0.629 0.629 ↓ 1.0 1,279 1

Seq Scan on datas_part_0000009312 (cost=0.00..177.73 rows=1,273 width=665) (actual time=0.015..0.629 rows=1,279 loops=1)

468. 0.623 0.623 ↑ 1.0 1,245 1

Seq Scan on datas_part_0000009313 (cost=0.00..205.45 rows=1,245 width=665) (actual time=0.013..0.623 rows=1,245 loops=1)

469. 0.681 0.681 ↑ 1.0 1,278 1

Seq Scan on datas_part_0000009314 (cost=0.00..175.78 rows=1,278 width=664) (actual time=0.013..0.681 rows=1,278 loops=1)

470. 0.621 0.621 ↓ 1.0 1,287 1

Seq Scan on datas_part_0000009315 (cost=0.00..167.76 rows=1,276 width=666) (actual time=0.018..0.621 rows=1,287 loops=1)

471. 0.619 0.619 ↑ 1.0 1,282 1

Seq Scan on datas_part_0000009316 (cost=0.00..178.82 rows=1,282 width=664) (actual time=0.012..0.619 rows=1,282 loops=1)

472. 0.682 0.682 ↓ 1.0 1,302 1

Seq Scan on datas_part_0000009317 (cost=0.00..192.91 rows=1,291 width=664) (actual time=0.011..0.682 rows=1,302 loops=1)

473. 0.633 0.633 ↑ 1.0 1,313 1

Seq Scan on datas_part_0000009318 (cost=0.00..189.16 rows=1,316 width=665) (actual time=0.015..0.633 rows=1,313 loops=1)

474. 0.633 0.633 ↓ 1.0 1,278 1

Seq Scan on datas_part_0000009319 (cost=0.00..188.54 rows=1,254 width=666) (actual time=0.013..0.633 rows=1,278 loops=1)

475. 0.617 0.617 ↓ 1.0 1,261 1

Seq Scan on datas_part_0000009320 (cost=0.00..174.42 rows=1,242 width=668) (actual time=0.011..0.617 rows=1,261 loops=1)

476. 0.645 0.645 ↑ 1.0 1,289 1

Seq Scan on datas_part_0000009321 (cost=0.00..197.89 rows=1,289 width=666) (actual time=0.022..0.645 rows=1,289 loops=1)

477. 0.631 0.631 ↓ 1.0 1,293 1

Seq Scan on datas_part_0000009322 (cost=0.00..190.75 rows=1,275 width=663) (actual time=0.012..0.631 rows=1,293 loops=1)

478. 0.638 0.638 ↑ 1.0 1,275 1

Seq Scan on datas_part_0000009323 (cost=0.00..192.75 rows=1,275 width=664) (actual time=0.013..0.638 rows=1,275 loops=1)

479. 0.606 0.606 ↑ 1.0 1,243 1

Seq Scan on datas_part_0000009324 (cost=0.00..183.90 rows=1,290 width=664) (actual time=0.015..0.606 rows=1,243 loops=1)

480. 0.630 0.630 ↓ 1.0 1,286 1

Seq Scan on datas_part_0000009325 (cost=0.00..194.73 rows=1,273 width=665) (actual time=0.012..0.630 rows=1,286 loops=1)

481. 0.626 0.626 ↓ 1.0 1,269 1

Seq Scan on datas_part_0000009326 (cost=0.00..199.21 rows=1,221 width=664) (actual time=0.011..0.626 rows=1,269 loops=1)

482. 0.607 0.607 ↓ 1.0 1,240 1

Seq Scan on datas_part_0000009327 (cost=0.00..163.29 rows=1,229 width=664) (actual time=0.019..0.607 rows=1,240 loops=1)

483. 0.593 0.593 ↓ 1.0 1,232 1

Seq Scan on datas_part_0000009328 (cost=0.00..164.15 rows=1,215 width=664) (actual time=0.010..0.593 rows=1,232 loops=1)

484. 0.601 0.601 ↑ 1.0 1,229 1

Seq Scan on datas_part_0000009329 (cost=0.00..168.30 rows=1,230 width=663) (actual time=0.012..0.601 rows=1,229 loops=1)

485. 0.610 0.610 ↓ 1.0 1,263 1

Seq Scan on datas_part_0000009330 (cost=0.00..172.62 rows=1,262 width=665) (actual time=0.016..0.610 rows=1,263 loops=1)

486. 0.620 0.620 ↑ 1.1 1,270 1

Seq Scan on datas_part_0000009331 (cost=0.00..184.89 rows=1,389 width=666) (actual time=0.013..0.620 rows=1,270 loops=1)

487. 0.620 0.620 ↓ 1.0 1,283 1

Seq Scan on datas_part_0000009332 (cost=0.00..176.58 rows=1,258 width=666) (actual time=0.012..0.620 rows=1,283 loops=1)

488. 0.605 0.605 ↓ 1.0 1,258 1

Seq Scan on datas_part_0000009333 (cost=0.00..164.42 rows=1,242 width=663) (actual time=0.018..0.605 rows=1,258 loops=1)

489. 0.591 0.591 ↓ 1.0 1,234 1

Seq Scan on datas_part_0000009334 (cost=0.00..175.21 rows=1,221 width=663) (actual time=0.011..0.591 rows=1,234 loops=1)

490. 0.595 0.595 ↓ 1.1 1,242 1

Seq Scan on datas_part_0000009335 (cost=0.00..160.60 rows=1,160 width=666) (actual time=0.012..0.595 rows=1,242 loops=1)

491. 0.569 0.569 ↓ 1.0 1,164 1

Seq Scan on datas_part_0000009336 (cost=0.00..163.41 rows=1,141 width=662) (actual time=0.014..0.569 rows=1,164 loops=1)

492. 0.587 0.587 ↓ 1.0 1,209 1

Seq Scan on datas_part_0000009337 (cost=0.00..161.94 rows=1,194 width=662) (actual time=0.011..0.587 rows=1,209 loops=1)

493. 0.608 0.608 ↓ 1.0 1,254 1

Seq Scan on datas_part_0000009338 (cost=0.00..172.35 rows=1,235 width=664) (actual time=0.011..0.608 rows=1,254 loops=1)

494. 0.611 0.611 ↓ 1.0 1,266 1

Seq Scan on datas_part_0000009339 (cost=0.00..167.57 rows=1,257 width=665) (actual time=0.018..0.611 rows=1,266 loops=1)

495. 0.595 0.595 ↑ 1.0 1,247 1

Seq Scan on datas_part_0000009340 (cost=0.00..173.47 rows=1,247 width=665) (actual time=0.010..0.595 rows=1,247 loops=1)

496. 0.598 0.598 ↓ 1.0 1,244 1

Seq Scan on datas_part_0000009341 (cost=0.00..159.93 rows=1,193 width=663) (actual time=0.011..0.598 rows=1,244 loops=1)

497. 0.618 0.618 ↓ 1.0 1,257 1

Seq Scan on datas_part_0000009342 (cost=0.00..170.30 rows=1,230 width=663) (actual time=0.012..0.618 rows=1,257 loops=1)

498. 0.615 0.615 ↓ 1.0 1,240 1

Seq Scan on datas_part_0000009343 (cost=0.00..175.11 rows=1,211 width=663) (actual time=0.017..0.615 rows=1,240 loops=1)

499. 0.606 0.606 ↓ 1.0 1,245 1

Seq Scan on datas_part_0000009344 (cost=0.00..179.23 rows=1,223 width=662) (actual time=0.012..0.606 rows=1,245 loops=1)

500. 0.626 0.626 ↓ 1.0 1,273 1

Seq Scan on datas_part_0000009345 (cost=0.00..172.41 rows=1,241 width=667) (actual time=0.013..0.626 rows=1,273 loops=1)

501. 0.619 0.619 ↓ 1.0 1,278 1

Seq Scan on datas_part_0000009346 (cost=0.00..172.58 rows=1,258 width=663) (actual time=0.019..0.619 rows=1,278 loops=1)

502. 0.601 0.601 ↓ 1.0 1,270 1

Seq Scan on datas_part_0000009347 (cost=0.00..170.15 rows=1,215 width=666) (actual time=0.012..0.601 rows=1,270 loops=1)

503. 0.680 0.680 ↑ 1.0 1,269 1

Seq Scan on datas_part_0000009348 (cost=0.00..187.69 rows=1,269 width=665) (actual time=0.011..0.680 rows=1,269 loops=1)

504. 0.596 0.596 ↓ 1.0 1,231 1

Seq Scan on datas_part_0000009349 (cost=0.00..163.06 rows=1,206 width=663) (actual time=0.018..0.596 rows=1,231 loops=1)

505. 0.602 0.602 ↓ 1.0 1,252 1

Seq Scan on datas_part_0000009350 (cost=0.00..170.33 rows=1,233 width=663) (actual time=0.010..0.602 rows=1,252 loops=1)

506. 0.742 0.742 ↓ 1.0 1,265 1

Seq Scan on datas_part_0000009351 (cost=0.00..191.26 rows=1,226 width=665) (actual time=0.011..0.742 rows=1,265 loops=1)

507. 0.629 0.629 ↓ 1.0 1,270 1

Seq Scan on datas_part_0000009352 (cost=0.00..175.49 rows=1,249 width=665) (actual time=0.021..0.629 rows=1,270 loops=1)

508. 0.808 0.808 ↓ 1.0 1,332 1

Seq Scan on datas_part_0000009353 (cost=0.00..163.22 rows=1,322 width=667) (actual time=0.012..0.808 rows=1,332 loops=1)

509. 0.620 0.620 ↓ 1.0 1,267 1

Seq Scan on datas_part_0000009354 (cost=0.00..171.38 rows=1,238 width=664) (actual time=0.016..0.620 rows=1,267 loops=1)

510. 0.453 0.453 ↓ 1.0 882 1

Seq Scan on datas_part_0000009355 (cost=0.00..139.67 rows=867 width=657) (actual time=0.012..0.453 rows=882 loops=1)

511. 0.588 0.588 ↓ 1.0 1,223 1

Seq Scan on datas_part_0000009356 (cost=0.00..165.98 rows=1,198 width=664) (actual time=0.011..0.588 rows=1,223 loops=1)

512. 1.302 1.302 ↓ 1.1 1,270 1

Seq Scan on datas_part_0000009357 (cost=0.00..181.51 rows=1,151 width=668) (actual time=0.011..1.302 rows=1,270 loops=1)

513. 1.091 1.091 ↓ 1.0 1,257 1

Seq Scan on datas_part_0000009358 (cost=0.00..192.41 rows=1,241 width=662) (actual time=0.037..1.091 rows=1,257 loops=1)

514. 0.616 0.616 ↓ 1.0 1,281 1

Seq Scan on datas_part_0000009359 (cost=0.00..175.48 rows=1,248 width=665) (actual time=0.012..0.616 rows=1,281 loops=1)

515. 0.610 0.610 ↓ 1.0 1,286 1

Seq Scan on datas_part_0000009360 (cost=0.00..175.65 rows=1,265 width=665) (actual time=0.012..0.610 rows=1,286 loops=1)

516. 0.720 0.720 ↑ 1.0 1,258 1

Seq Scan on datas_part_0000009361 (cost=0.00..180.59 rows=1,259 width=668) (actual time=0.010..0.720 rows=1,258 loops=1)

517. 0.717 0.717 ↓ 1.1 1,302 1

Seq Scan on datas_part_0000009362 (cost=0.00..162.20 rows=1,220 width=667) (actual time=0.017..0.717 rows=1,302 loops=1)

518. 0.629 0.629 ↑ 1.1 1,284 1

Seq Scan on datas_part_0000009363 (cost=0.00..195.96 rows=1,396 width=667) (actual time=0.013..0.629 rows=1,284 loops=1)

519. 0.712 0.712 ↑ 1.0 1,263 1

Seq Scan on datas_part_0000009364 (cost=0.00..172.63 rows=1,263 width=665) (actual time=0.010..0.712 rows=1,263 loops=1)

520. 0.616 0.616 ↓ 1.0 1,267 1

Seq Scan on datas_part_0000009365 (cost=0.00..155.47 rows=1,247 width=666) (actual time=0.019..0.616 rows=1,267 loops=1)

521. 0.638 0.638 ↑ 1.0 1,263 1

Seq Scan on datas_part_0000009366 (cost=0.00..176.63 rows=1,263 width=665) (actual time=0.014..0.638 rows=1,263 loops=1)

522. 0.662 0.662 ↓ 1.0 1,244 1

Seq Scan on datas_part_0000009367 (cost=0.00..169.31 rows=1,231 width=664) (actual time=0.014..0.662 rows=1,244 loops=1)

523. 0.611 0.611 ↑ 1.0 1,215 1

Seq Scan on datas_part_0000009368 (cost=0.00..170.31 rows=1,231 width=663) (actual time=0.021..0.611 rows=1,215 loops=1)

524. 0.649 0.649 ↓ 1.1 1,279 1

Seq Scan on datas_part_0000009369 (cost=0.00..193.96 rows=1,196 width=667) (actual time=0.012..0.649 rows=1,279 loops=1)

525. 0.712 0.712 ↓ 1.0 1,291 1

Seq Scan on datas_part_0000009370 (cost=0.00..183.62 rows=1,262 width=665) (actual time=0.084..0.712 rows=1,291 loops=1)

526. 0.609 0.609 ↑ 1.0 1,238 1

Seq Scan on datas_part_0000009371 (cost=0.00..174.94 rows=1,294 width=666) (actual time=0.015..0.609 rows=1,238 loops=1)

527. 0.612 0.612 ↓ 1.0 1,279 1

Seq Scan on datas_part_0000009372 (cost=0.00..162.59 rows=1,259 width=668) (actual time=0.012..0.612 rows=1,279 loops=1)

528. 0.673 0.673 ↑ 1.0 1,280 1

Seq Scan on datas_part_0000009373 (cost=0.00..180.42 rows=1,342 width=667) (actual time=0.020..0.673 rows=1,280 loops=1)

529. 0.606 0.606 ↑ 1.0 1,247 1

Seq Scan on datas_part_0000009374 (cost=0.00..181.06 rows=1,306 width=663) (actual time=0.012..0.606 rows=1,247 loops=1)

530. 0.628 0.628 ↑ 1.0 1,281 1

Seq Scan on datas_part_0000009375 (cost=0.00..175.81 rows=1,281 width=663) (actual time=0.012..0.628 rows=1,281 loops=1)

531. 0.625 0.625 ↓ 1.0 1,263 1

Seq Scan on datas_part_0000009376 (cost=0.00..188.44 rows=1,244 width=664) (actual time=0.028..0.625 rows=1,263 loops=1)

532. 0.627 0.627 ↑ 1.0 1,268 1

Seq Scan on datas_part_0000009377 (cost=0.00..193.68 rows=1,268 width=666) (actual time=0.012..0.627 rows=1,268 loops=1)

533. 0.626 0.626 ↓ 1.0 1,269 1

Seq Scan on datas_part_0000009378 (cost=0.00..165.65 rows=1,265 width=665) (actual time=0.012..0.626 rows=1,269 loops=1)

534. 0.616 0.616 ↑ 1.1 1,270 1

Seq Scan on datas_part_0000009379 (cost=0.00..156.59 rows=1,359 width=667) (actual time=0.021..0.616 rows=1,270 loops=1)

535. 0.612 0.612 ↑ 1.0 1,269 1

Seq Scan on datas_part_0000009380 (cost=0.00..172.28 rows=1,328 width=666) (actual time=0.011..0.612 rows=1,269 loops=1)

536. 0.658 0.658 ↓ 1.0 1,249 1

Seq Scan on datas_part_0000009381 (cost=0.00..162.25 rows=1,225 width=663) (actual time=0.012..0.658 rows=1,249 loops=1)

537. 0.632 0.632 ↓ 1.0 1,276 1

Seq Scan on datas_part_0000009382 (cost=0.00..176.58 rows=1,258 width=663) (actual time=0.018..0.632 rows=1,276 loops=1)

538. 0.610 0.610 ↑ 1.0 1,247 1

Seq Scan on datas_part_0000009383 (cost=0.00..180.05 rows=1,305 width=665) (actual time=0.012..0.610 rows=1,247 loops=1)

539. 0.671 0.671 ↑ 1.0 1,279 1

Seq Scan on datas_part_0000009384 (cost=0.00..171.97 rows=1,297 width=667) (actual time=0.013..0.671 rows=1,279 loops=1)

540. 0.613 0.613 ↑ 1.0 1,273 1

Seq Scan on datas_part_0000009385 (cost=0.00..170.79 rows=1,279 width=667) (actual time=0.019..0.613 rows=1,273 loops=1)

541. 0.613 0.613 ↑ 1.0 1,280 1

Seq Scan on datas_part_0000009386 (cost=0.00..175.80 rows=1,280 width=667) (actual time=0.010..0.613 rows=1,280 loops=1)

542. 0.650 0.650 ↓ 1.0 1,269 1

Seq Scan on datas_part_0000009388 (cost=0.00..181.44 rows=1,244 width=669) (actual time=0.013..0.650 rows=1,269 loops=1)

543. 0.648 0.648 ↑ 1.0 1,353 1

Seq Scan on datas_part_0000009395 (cost=0.00..169.53 rows=1,353 width=664) (actual time=0.016..0.648 rows=1,353 loops=1)

544. 0.699 0.699 ↑ 1.0 1,268 1

Seq Scan on datas_part_0000009397 (cost=0.00..161.70 rows=1,270 width=666) (actual time=0.012..0.699 rows=1,268 loops=1)

545. 0.699 0.699 ↑ 1.0 1,320 1

Seq Scan on datas_part_0000009398 (cost=0.00..153.20 rows=1,320 width=665) (actual time=0.013..0.699 rows=1,320 loops=1)

546. 0.621 0.621 ↑ 1.0 1,277 1

Seq Scan on datas_part_0000009399 (cost=0.00..168.79 rows=1,279 width=665) (actual time=0.021..0.621 rows=1,277 loops=1)

547. 0.601 0.601 ↓ 1.0 1,254 1

Seq Scan on datas_part_0000009400 (cost=0.00..162.44 rows=1,244 width=664) (actual time=0.012..0.601 rows=1,254 loops=1)

548. 0.606 0.606 ↓ 1.0 1,250 1

Seq Scan on datas_part_0000009401 (cost=0.00..165.27 rows=1,227 width=665) (actual time=0.012..0.606 rows=1,250 loops=1)

549. 0.672 0.672 ↓ 1.0 1,233 1

Seq Scan on datas_part_0000009402 (cost=0.00..148.26 rows=1,226 width=665) (actual time=0.057..0.672 rows=1,233 loops=1)

550. 0.603 0.603 ↓ 1.0 1,242 1

Seq Scan on datas_part_0000009403 (cost=0.00..173.22 rows=1,222 width=665) (actual time=0.012..0.603 rows=1,242 loops=1)

551. 0.743 0.743 ↓ 1.0 1,290 1

Seq Scan on datas_part_0000009404 (cost=0.00..179.78 rows=1,278 width=666) (actual time=0.012..0.743 rows=1,290 loops=1)

552. 0.603 0.603 ↓ 1.0 1,242 1

Seq Scan on datas_part_0000009405 (cost=0.00..172.03 rows=1,203 width=665) (actual time=0.020..0.603 rows=1,242 loops=1)

553. 0.587 0.587 ↓ 1.0 1,235 1

Seq Scan on datas_part_0000009406 (cost=0.00..156.14 rows=1,214 width=665) (actual time=0.011..0.587 rows=1,235 loops=1)

554. 0.621 0.621 ↓ 1.0 1,248 1

Seq Scan on datas_part_0000009408 (cost=0.00..172.22 rows=1,222 width=666) (actual time=0.011..0.621 rows=1,248 loops=1)

555. 0.662 0.662 ↑ 1.0 1,357 1

Seq Scan on datas_part_0000009409 (cost=0.00..194.15 rows=1,415 width=665) (actual time=0.016..0.662 rows=1,357 loops=1)

556. 0.617 0.617 ↓ 1.0 1,267 1

Seq Scan on datas_part_0000009410 (cost=0.00..172.37 rows=1,237 width=666) (actual time=0.011..0.617 rows=1,267 loops=1)

557. 0.646 0.646 ↓ 1.0 1,268 1

Seq Scan on datas_part_0000009411 (cost=0.00..179.37 rows=1,237 width=666) (actual time=0.012..0.646 rows=1,268 loops=1)

558. 0.737 0.737 ↓ 1.0 1,293 1

Seq Scan on datas_part_0000009412 (cost=0.00..187.64 rows=1,264 width=665) (actual time=0.019..0.737 rows=1,293 loops=1)

559. 0.622 0.622 ↓ 1.0 1,283 1

Seq Scan on datas_part_0000009421 (cost=0.00..183.60 rows=1,260 width=668) (actual time=0.012..0.622 rows=1,283 loops=1)

560. 0.704 0.704 ↑ 1.0 1,269 1

Seq Scan on datas_part_0000009422 (cost=0.00..162.70 rows=1,270 width=665) (actual time=0.011..0.704 rows=1,269 loops=1)

561. 0.627 0.627 ↓ 1.0 1,275 1

Seq Scan on datas_part_0000009423 (cost=0.00..187.40 rows=1,240 width=667) (actual time=0.017..0.627 rows=1,275 loops=1)

562. 0.637 0.637 ↑ 1.0 1,331 1

Seq Scan on datas_part_0000009424 (cost=0.00..179.31 rows=1,331 width=664) (actual time=0.012..0.637 rows=1,331 loops=1)

563. 0.698 0.698 ↓ 1.0 1,323 1

Seq Scan on datas_part_0000009426 (cost=0.00..176.11 rows=1,311 width=665) (actual time=0.011..0.698 rows=1,323 loops=1)

564. 0.689 0.689 ↓ 1.0 1,274 1

Seq Scan on datas_part_0000009427 (cost=0.00..187.60 rows=1,260 width=664) (actual time=0.019..0.689 rows=1,274 loops=1)

565. 0.639 0.639 ↑ 1.0 1,328 1

Seq Scan on datas_part_0000009428 (cost=0.00..179.28 rows=1,328 width=666) (actual time=0.014..0.639 rows=1,328 loops=1)

566. 0.705 0.705 ↑ 1.0 1,254 1

Seq Scan on datas_part_0000009429 (cost=0.00..184.09 rows=1,309 width=664) (actual time=0.013..0.705 rows=1,254 loops=1)

567. 0.631 0.631 ↓ 1.0 1,292 1

Seq Scan on datas_part_0000009431 (cost=0.00..179.91 rows=1,291 width=668) (actual time=0.016..0.631 rows=1,292 loops=1)

568. 0.639 0.639 ↓ 1.0 1,324 1

Seq Scan on datas_part_0000009437 (cost=0.00..190.17 rows=1,317 width=665) (actual time=0.012..0.639 rows=1,324 loops=1)

569. 0.662 0.662 ↑ 1.0 1,233 1

Seq Scan on datas_part_0000009438 (cost=0.00..168.58 rows=1,258 width=662) (actual time=0.012..0.662 rows=1,233 loops=1)

570. 0.645 0.645 ↑ 1.0 1,282 1

Seq Scan on datas_part_0000009439 (cost=0.00..193.82 rows=1,282 width=664) (actual time=0.018..0.645 rows=1,282 loops=1)

571. 0.702 0.702 ↑ 1.0 1,286 1

Seq Scan on datas_part_0000009440 (cost=0.00..183.07 rows=1,307 width=667) (actual time=0.013..0.702 rows=1,286 loops=1)

572. 0.613 0.613 ↓ 1.0 1,245 1

Seq Scan on datas_part_0000009441 (cost=0.00..155.43 rows=1,243 width=665) (actual time=0.014..0.613 rows=1,245 loops=1)

573. 0.772 0.772 ↓ 1.0 1,450 1

Seq Scan on datas_part_0000009442 (cost=0.00..197.22 rows=1,422 width=670) (actual time=0.013..0.772 rows=1,450 loops=1)

574. 0.719 0.719 ↑ 1.0 1,319 1

Seq Scan on datas_part_0000009443 (cost=0.00..174.19 rows=1,319 width=665) (actual time=0.016..0.719 rows=1,319 loops=1)

575. 0.745 0.745 ↓ 1.0 1,282 1

Seq Scan on datas_part_0000009444 (cost=0.00..174.53 rows=1,253 width=666) (actual time=0.022..0.745 rows=1,282 loops=1)

576. 0.610 0.610 ↓ 1.0 1,282 1

Seq Scan on datas_part_0000009448 (cost=0.00..170.52 rows=1,252 width=665) (actual time=0.018..0.610 rows=1,282 loops=1)

577. 0.678 0.678 ↓ 1.0 1,249 1

Seq Scan on datas_part_0000009449 (cost=0.00..160.35 rows=1,235 width=664) (actual time=0.013..0.678 rows=1,249 loops=1)

578. 0.683 0.683 ↓ 1.0 1,333 1

Seq Scan on datas_part_0000009450 (cost=0.00..188.92 rows=1,292 width=667) (actual time=0.015..0.683 rows=1,333 loops=1)

579. 0.702 0.702 ↓ 1.0 1,276 1

Seq Scan on datas_part_0000009451 (cost=0.00..176.44 rows=1,244 width=666) (actual time=0.014..0.702 rows=1,276 loops=1)

580. 0.714 0.714 ↓ 1.0 1,253 1

Seq Scan on datas_part_0000009452 (cost=0.00..170.46 rows=1,246 width=663) (actual time=0.013..0.714 rows=1,253 loops=1)

581. 0.635 0.635 ↑ 1.0 1,245 1

Seq Scan on datas_part_0000009453 (cost=0.00..171.45 rows=1,245 width=664) (actual time=0.023..0.635 rows=1,245 loops=1)

582. 0.618 0.618 ↑ 1.0 1,248 1

Seq Scan on datas_part_0000009454 (cost=0.00..172.60 rows=1,260 width=668) (actual time=0.012..0.618 rows=1,248 loops=1)

583. 0.659 0.659 ↑ 1.0 1,262 1

Seq Scan on datas_part_0000009455 (cost=0.00..194.62 rows=1,262 width=663) (actual time=0.017..0.659 rows=1,262 loops=1)

584. 0.528 0.528 ↓ 1.0 1,042 1

Seq Scan on datas_part_0000009456 (cost=0.00..157.26 rows=1,026 width=665) (actual time=0.013..0.528 rows=1,042 loops=1)

585. 0.691 0.691 ↓ 1.0 1,285 1

Seq Scan on datas_part_0000009457 (cost=0.00..177.69 rows=1,269 width=667) (actual time=0.015..0.691 rows=1,285 loops=1)

586. 1.438 1.438 ↑ 1.0 1,256 1

Seq Scan on datas_part_0000009458 (cost=0.00..155.97 rows=1,297 width=664) (actual time=0.097..1.438 rows=1,256 loops=1)

587. 0.911 0.911 ↓ 1.0 1,308 1

Seq Scan on datas_part_0000009459 (cost=0.00..219.03 rows=1,303 width=667) (actual time=0.034..0.911 rows=1,308 loops=1)

588. 0.596 0.596 ↓ 1.0 1,234 1

Seq Scan on datas_part_0000009460 (cost=0.00..142.97 rows=1,197 width=665) (actual time=0.020..0.596 rows=1,234 loops=1)

589. 0.647 0.647 ↑ 1.0 1,315 1

Seq Scan on datas_part_0000009461 (cost=0.00..165.15 rows=1,315 width=663) (actual time=0.012..0.647 rows=1,315 loops=1)

590. 0.657 0.657 ↑ 1.0 1,311 1

Seq Scan on datas_part_0000009462 (cost=0.00..166.35 rows=1,335 width=665) (actual time=0.019..0.657 rows=1,311 loops=1)

591. 0.632 0.632 ↓ 1.0 1,284 1

Seq Scan on datas_part_0000009463 (cost=0.00..179.66 rows=1,266 width=668) (actual time=0.014..0.632 rows=1,284 loops=1)

592. 0.692 0.692 ↓ 1.0 1,276 1

Seq Scan on datas_part_0000009464 (cost=0.00..175.68 rows=1,268 width=667) (actual time=0.011..0.692 rows=1,276 loops=1)

593. 0.618 0.618 ↓ 1.0 1,293 1

Seq Scan on datas_part_0000009465 (cost=0.00..169.73 rows=1,273 width=665) (actual time=0.015..0.618 rows=1,293 loops=1)

594. 0.637 0.637 ↑ 1.0 1,320 1

Seq Scan on datas_part_0000009466 (cost=0.00..188.20 rows=1,320 width=663) (actual time=0.012..0.637 rows=1,320 loops=1)

595. 0.746 0.746 ↓ 1.0 1,322 1

Seq Scan on datas_part_0000009467 (cost=0.00..171.13 rows=1,313 width=665) (actual time=0.013..0.746 rows=1,322 loops=1)

596. 0.642 0.642 ↓ 1.0 1,321 1

Seq Scan on datas_part_0000009468 (cost=0.00..189.81 rows=1,281 width=668) (actual time=0.019..0.642 rows=1,321 loops=1)

597. 0.601 0.601 ↓ 1.0 1,239 1

Seq Scan on datas_part_0000009469 (cost=0.00..173.31 rows=1,231 width=664) (actual time=0.014..0.601 rows=1,239 loops=1)

598. 0.686 0.686 ↓ 1.0 1,280 1

Seq Scan on datas_part_0000009470 (cost=0.00..189.63 rows=1,263 width=666) (actual time=0.011..0.686 rows=1,280 loops=1)

599. 0.620 0.620 ↓ 1.0 1,276 1

Seq Scan on datas_part_0000009472 (cost=0.00..177.54 rows=1,254 width=666) (actual time=0.015..0.620 rows=1,276 loops=1)

600. 0.608 0.608 ↓ 1.0 1,266 1

Seq Scan on datas_part_0000009473 (cost=0.00..176.32 rows=1,232 width=663) (actual time=0.012..0.608 rows=1,266 loops=1)

601. 0.762 0.762 ↑ 1.1 1,321 1

Seq Scan on datas_part_0000009474 (cost=0.00..189.74 rows=1,474 width=667) (actual time=0.012..0.762 rows=1,321 loops=1)

602. 0.638 0.638 ↑ 1.0 1,311 1

Seq Scan on datas_part_0000009475 (cost=0.00..179.11 rows=1,311 width=667) (actual time=0.019..0.638 rows=1,311 loops=1)

603. 0.627 0.627 ↑ 1.0 1,315 1

Seq Scan on datas_part_0000009476 (cost=0.00..167.15 rows=1,315 width=666) (actual time=0.012..0.627 rows=1,315 loops=1)

604. 0.636 0.636 ↑ 1.0 1,312 1

Seq Scan on datas_part_0000009477 (cost=0.00..181.12 rows=1,312 width=668) (actual time=0.012..0.636 rows=1,312 loops=1)

605. 0.629 0.629 ↓ 1.0 1,332 1

Seq Scan on datas_part_0000009479 (cost=0.00..178.01 rows=1,301 width=668) (actual time=0.014..0.629 rows=1,332 loops=1)

606. 0.627 0.627 ↑ 1.1 1,257 1

Seq Scan on datas_part_0000009480 (cost=0.00..181.56 rows=1,356 width=665) (actual time=0.012..0.627 rows=1,257 loops=1)

607. 0.609 0.609 ↓ 1.0 1,273 1

Seq Scan on datas_part_0000009481 (cost=0.00..157.59 rows=1,259 width=667) (actual time=0.012..0.609 rows=1,273 loops=1)

608. 0.638 0.638 ↑ 1.0 1,325 1

Seq Scan on datas_part_0000009482 (cost=0.00..173.25 rows=1,325 width=665) (actual time=0.019..0.638 rows=1,325 loops=1)

609. 0.638 0.638 ↓ 1.0 1,339 1

Seq Scan on datas_part_0000009483 (cost=0.00..173.20 rows=1,320 width=664) (actual time=0.012..0.638 rows=1,339 loops=1)

610. 0.661 0.661 ↓ 1.0 1,331 1

Seq Scan on datas_part_0000009484 (cost=0.00..178.99 rows=1,299 width=668) (actual time=0.013..0.661 rows=1,331 loops=1)

611. 0.629 0.629 ↓ 1.0 1,320 1

Seq Scan on datas_part_0000009485 (cost=0.00..169.07 rows=1,307 width=666) (actual time=0.017..0.629 rows=1,320 loops=1)

612. 0.295 0.295 ↑ 1.0 561 1

Seq Scan on datas_part_0000009486 (cost=0.00..102.61 rows=561 width=652) (actual time=0.012..0.295 rows=561 loops=1)

613. 0.730 0.730 ↓ 1.0 1,257 1

Seq Scan on datas_part_0000009487 (cost=0.00..180.36 rows=1,236 width=667) (actual time=0.009..0.730 rows=1,257 loops=1)

614. 0.623 0.623 ↑ 1.0 1,257 1

Seq Scan on datas_part_0000009488 (cost=0.00..181.57 rows=1,257 width=667) (actual time=0.019..0.623 rows=1,257 loops=1)

615. 0.626 0.626 ↑ 1.0 1,294 1

Seq Scan on datas_part_0000009489 (cost=0.00..176.94 rows=1,294 width=667) (actual time=0.010..0.626 rows=1,294 loops=1)

616. 0.755 0.755 ↑ 1.0 1,283 1

Seq Scan on datas_part_0000009490 (cost=0.00..196.83 rows=1,283 width=663) (actual time=0.011..0.755 rows=1,283 loops=1)

617. 0.604 0.604 ↓ 1.0 1,268 1

Seq Scan on datas_part_0000009491 (cost=0.00..163.52 rows=1,252 width=666) (actual time=0.017..0.604 rows=1,268 loops=1)

618. 0.611 0.611 ↑ 1.0 1,272 1

Seq Scan on datas_part_0000009492 (cost=0.00..179.72 rows=1,272 width=666) (actual time=0.012..0.611 rows=1,272 loops=1)

619. 0.647 0.647 ↓ 1.0 1,330 1

Seq Scan on datas_part_0000009493 (cost=0.00..174.22 rows=1,322 width=667) (actual time=0.011..0.647 rows=1,330 loops=1)

620. 0.658 0.658 ↑ 1.0 1,338 1

Seq Scan on datas_part_0000009494 (cost=0.00..183.38 rows=1,338 width=665) (actual time=0.019..0.658 rows=1,338 loops=1)

621. 0.612 0.612 ↑ 1.1 1,266 1

Seq Scan on datas_part_0000009495 (cost=0.00..185.48 rows=1,348 width=667) (actual time=0.012..0.612 rows=1,266 loops=1)

622. 0.740 0.740 ↓ 1.0 1,318 1

Seq Scan on datas_part_0000009496 (cost=0.00..194.77 rows=1,277 width=667) (actual time=0.013..0.740 rows=1,318 loops=1)

623. 0.631 0.631 ↑ 1.0 1,312 1

Seq Scan on datas_part_0000009497 (cost=0.00..175.12 rows=1,312 width=665) (actual time=0.015..0.631 rows=1,312 loops=1)

624. 0.627 0.627 ↑ 1.0 1,333 1

Seq Scan on datas_part_0000009498 (cost=0.00..158.33 rows=1,333 width=666) (actual time=0.012..0.627 rows=1,333 loops=1)

625. 0.681 0.681 ↑ 1.0 1,275 1

Seq Scan on datas_part_0000009499 (cost=0.00..149.84 rows=1,284 width=666) (actual time=0.012..0.681 rows=1,275 loops=1)

626. 0.612 0.612 ↑ 1.0 1,341 1

Seq Scan on datas_part_0000009500 (cost=0.00..149.54 rows=1,354 width=665) (actual time=0.020..0.612 rows=1,341 loops=1)

627. 0.668 0.668 ↓ 1.0 1,355 1

Seq Scan on datas_part_0000009501 (cost=0.00..179.50 rows=1,350 width=664) (actual time=0.011..0.668 rows=1,355 loops=1)

628. 0.680 0.680 ↓ 1.0 1,322 1

Seq Scan on datas_part_0000009502 (cost=0.00..187.02 rows=1,302 width=668) (actual time=0.026..0.680 rows=1,322 loops=1)

629. 0.643 0.643 ↑ 1.0 1,326 1

Seq Scan on datas_part_0000009503 (cost=0.00..183.26 rows=1,326 width=667) (actual time=0.014..0.643 rows=1,326 loops=1)

630. 0.645 0.645 ↑ 1.0 1,366 1

Seq Scan on datas_part_0000009504 (cost=0.00..166.66 rows=1,366 width=664) (actual time=0.014..0.645 rows=1,366 loops=1)

631. 0.798 0.798 ↑ 1.0 1,244 1

Seq Scan on datas_part_0000009505 (cost=0.00..166.44 rows=1,244 width=665) (actual time=0.012..0.798 rows=1,244 loops=1)

632. 0.635 0.635 ↓ 1.0 1,329 1

Seq Scan on datas_part_0000009506 (cost=0.00..159.22 rows=1,322 width=665) (actual time=0.020..0.635 rows=1,329 loops=1)

633. 0.630 0.630 ↓ 1.0 1,304 1

Seq Scan on datas_part_0000009507 (cost=0.00..177.79 rows=1,279 width=665) (actual time=0.011..0.630 rows=1,304 loops=1)

634. 0.619 0.619 ↑ 1.1 1,249 1

Seq Scan on datas_part_0000009508 (cost=0.00..174.15 rows=1,315 width=662) (actual time=0.013..0.619 rows=1,249 loops=1)

635. 0.647 0.647 ↓ 1.0 1,340 1

Seq Scan on datas_part_0000009510 (cost=0.00..180.18 rows=1,318 width=665) (actual time=0.016..0.647 rows=1,340 loops=1)

636. 0.612 0.612 ↑ 1.0 1,280 1

Seq Scan on datas_part_0000009511 (cost=0.00..170.80 rows=1,280 width=663) (actual time=0.007..0.612 rows=1,280 loops=1)

637. 0.547 0.547 ↓ 1.0 1,098 1

Seq Scan on datas_part_0000009512 (cost=0.00..151.68 rows=1,068 width=666) (actual time=0.007..0.547 rows=1,098 loops=1)

638. 0.614 0.614 ↓ 1.0 1,286 1

Seq Scan on datas_part_0000009513 (cost=0.00..174.60 rows=1,260 width=666) (actual time=0.007..0.614 rows=1,286 loops=1)

639. 0.612 0.612 ↓ 1.0 1,265 1

Seq Scan on datas_part_0000009514 (cost=0.00..173.58 rows=1,258 width=663) (actual time=0.007..0.612 rows=1,265 loops=1)

640. 0.696 0.696 ↓ 1.0 1,265 1

Seq Scan on datas_part_0000009515 (cost=0.00..177.27 rows=1,227 width=669) (actual time=0.006..0.696 rows=1,265 loops=1)

641. 0.591 0.591 ↓ 1.0 1,247 1

Seq Scan on datas_part_0000009516 (cost=0.00..168.19 rows=1,219 width=668) (actual time=0.007..0.591 rows=1,247 loops=1)

642. 0.623 0.623 ↓ 1.0 1,314 1

Seq Scan on datas_part_0000009517 (cost=0.00..178.95 rows=1,295 width=665) (actual time=0.005..0.623 rows=1,314 loops=1)

643. 0.601 0.601 ↓ 1.0 1,227 1

Seq Scan on datas_part_0000009519 (cost=0.00..156.10 rows=1,210 width=668) (actual time=0.006..0.601 rows=1,227 loops=1)

644. 0.639 0.639 ↓ 1.0 1,328 1

Seq Scan on datas_part_0000009520 (cost=0.00..182.12 rows=1,312 width=668) (actual time=0.007..0.639 rows=1,328 loops=1)

645. 0.615 0.615 ↓ 1.0 1,294 1

Seq Scan on datas_part_0000009521 (cost=0.00..175.56 rows=1,256 width=665) (actual time=0.006..0.615 rows=1,294 loops=1)

646. 0.589 0.589 ↓ 1.0 1,234 1

Seq Scan on datas_part_0000009522 (cost=0.00..159.20 rows=1,220 width=665) (actual time=0.007..0.589 rows=1,234 loops=1)

647. 0.620 0.620 ↑ 1.0 1,192 1

Seq Scan on datas_part_0000009523 (cost=0.00..148.05 rows=1,205 width=663) (actual time=0.006..0.620 rows=1,192 loops=1)

648. 0.662 0.662 ↑ 1.0 1,336 1

Seq Scan on datas_part_0000009524 (cost=0.00..179.36 rows=1,336 width=666) (actual time=0.007..0.662 rows=1,336 loops=1)

649. 0.649 0.649 ↓ 1.0 1,249 1

Seq Scan on datas_part_0000009525 (cost=0.00..174.23 rows=1,223 width=663) (actual time=0.007..0.649 rows=1,249 loops=1)

650. 0.600 0.600 ↑ 1.0 1,229 1

Seq Scan on datas_part_0000009526 (cost=0.00..188.79 rows=1,279 width=662) (actual time=0.007..0.600 rows=1,229 loops=1)

651. 0.596 0.596 ↓ 1.0 1,232 1

Seq Scan on datas_part_0000009527 (cost=0.00..167.27 rows=1,227 width=664) (actual time=0.006..0.596 rows=1,232 loops=1)

652. 0.690 0.690 ↑ 1.0 1,324 1

Seq Scan on datas_part_0000009528 (cost=0.00..184.31 rows=1,331 width=664) (actual time=0.006..0.690 rows=1,324 loops=1)

653. 0.629 0.629 ↓ 1.0 1,356 1

Seq Scan on datas_part_0000009529 (cost=0.00..165.50 rows=1,350 width=664) (actual time=0.007..0.629 rows=1,356 loops=1)

654. 0.585 0.585 ↓ 1.0 1,240 1

Seq Scan on datas_part_0000009530 (cost=0.00..163.09 rows=1,209 width=668) (actual time=0.006..0.585 rows=1,240 loops=1)

655. 0.670 0.670 ↑ 1.0 1,320 1

Seq Scan on datas_part_0000009531 (cost=0.00..176.20 rows=1,320 width=665) (actual time=0.006..0.670 rows=1,320 loops=1)

656. 0.670 0.670 ↓ 1.0 1,310 1

Seq Scan on datas_part_0000009532 (cost=0.00..176.88 rows=1,288 width=665) (actual time=0.008..0.670 rows=1,310 loops=1)

657. 0.663 0.663 ↓ 1.0 1,259 1

Seq Scan on datas_part_0000009533 (cost=0.00..167.37 rows=1,237 width=667) (actual time=0.006..0.663 rows=1,259 loops=1)

658. 0.589 0.589 ↓ 1.0 1,250 1

Seq Scan on datas_part_0000009534 (cost=0.00..156.34 rows=1,234 width=668) (actual time=0.008..0.589 rows=1,250 loops=1)

659. 0.430 0.430 ↓ 1.0 910 1

Seq Scan on datas_part_0000009535 (cost=0.00..127.81 rows=881 width=658) (actual time=0.005..0.430 rows=910 loops=1)

660. 0.623 0.623 ↓ 1.0 1,324 1

Seq Scan on datas_part_0000009536 (cost=0.00..178.19 rows=1,319 width=663) (actual time=0.005..0.623 rows=1,324 loops=1)

661. 0.023 0.023 ↑ 2.5 40 1

Seq Scan on datas_part_default_tab (cost=0.00..11.00 rows=100 width=677) (actual time=0.009..0.023 rows=40 loops=1)

662. 0.005 0.016 ↑ 1.0 2 1

Hash (cost=1.02..1.02 rows=2 width=41) (actual time=0.016..0.016 rows=2 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 9kB
663. 0.011 0.011 ↑ 1.0 2 1

Seq Scan on reception_modes (cost=0.00..1.02 rows=2 width=41) (actual time=0.009..0.011 rows=2 loops=1)

664. 0.028 2.380 ↑ 35.7 51 1

Hash (cost=45,717.68..45,717.68 rows=1,821 width=156) (actual time=2.380..2.380 rows=51 loops=1)

  • Buckets: 2048 Batches: 1 Memory Usage: 23kB
665. 0.026 2.352 ↑ 35.7 51 1

Hash Join (cost=45,088.56..45,717.68 rows=1,821 width=156) (actual time=2.164..2.352 rows=51 loops=1)

  • Hash Cond: (datas_part_0000008825_1.ideventtype = eventtypes.ideventtype)
666. 0.025 2.225 ↑ 45.8 51 1

Hash Join (cost=45,080.05..45,702.91 rows=2,334 width=117) (actual time=2.055..2.225 rows=51 loops=1)

  • Hash Cond: (datas_part_0000008825_1.idstatustype = statustypes.idstatustype)
667. 0.198 2.185 ↑ 538.5 51 1

HashAggregate (cost=45,078.67..45,353.29 rows=27,462 width=52) (actual time=2.030..2.185 rows=51 loops=1)

  • Group Key: datas_part_0000008825_1.idaccount, datas_part_0000008825_1.source, datas_part_0000008825_1.ideventtype, datas_part_0000008825_1.idequipment, datas_part_0000008825_1.idstatustype
668. 0.192 1.987 ↑ 5,384.6 51 1

Append (cost=0.12..41,645.98 rows=274,615 width=44) (actual time=0.264..1.987 rows=51 loops=1)

669. 0.011 0.011 ↓ 0.0 0 1

Index Scan using datas_part_0000008825_idstatustype_idx on datas_part_0000008825 datas_part_0000008825_1 (cost=0.12..58.53 rows=436 width=44) (actual time=0.011..0.011 rows=0 loops=1)

670. 0.005 0.005 ↓ 0.0 0 1

Index Scan using datas_part_0000008826_idstatustype_idx on datas_part_0000008826 datas_part_0000008826_1 (cost=0.12..60.47 rows=436 width=44) (actual time=0.004..0.005 rows=0 loops=1)

671. 0.005 0.005 ↓ 0.0 0 1

Index Scan using datas_part_0000008827_idstatustype_idx on datas_part_0000008827 datas_part_0000008827_1 (cost=0.12..63.84 rows=439 width=44) (actual time=0.005..0.005 rows=0 loops=1)

672. 0.005 0.005 ↓ 0.0 0 1

Index Scan using datas_part_0000008828_idstatustype_idx on datas_part_0000008828 datas_part_0000008828_1 (cost=0.12..60.54 rows=442 width=44) (actual time=0.005..0.005 rows=0 loops=1)

673. 0.005 0.005 ↓ 0.0 0 1

Index Scan using datas_part_0000008829_idstatustype_idx on datas_part_0000008829 datas_part_0000008829_1 (cost=0.12..31.46 rows=221 width=44) (actual time=0.005..0.005 rows=0 loops=1)

674. 0.004 0.004 ↓ 0.0 0 1

Index Scan using datas_part_0000008830_idstatustype_idx on datas_part_0000008830 datas_part_0000008830_1 (cost=0.12..62.53 rows=433 width=44) (actual time=0.004..0.004 rows=0 loops=1)

675. 0.006 0.006 ↓ 0.0 0 1

Index Scan using datas_part_0000008831_idstatustype_idx on datas_part_0000008831 datas_part_0000008831_1 (cost=0.12..59.51 rows=441 width=44) (actual time=0.006..0.006 rows=0 loops=1)

676. 0.004 0.004 ↓ 0.0 0 1

Index Scan using datas_part_0000008832_idstatustype_idx on datas_part_0000008832 datas_part_0000008832_1 (cost=0.12..61.42 rows=424 width=44) (actual time=0.004..0.004 rows=0 loops=1)

677. 0.004 0.004 ↓ 0.0 0 1

Index Scan using datas_part_0000008833_idstatustype_idx on datas_part_0000008833 datas_part_0000008833_1 (cost=0.12..63.57 rows=441 width=44) (actual time=0.004..0.004 rows=0 loops=1)

678. 0.004 0.004 ↓ 0.0 0 1

Index Scan using datas_part_0000008834_idstatustype_idx on datas_part_0000008834 datas_part_0000008834_1 (cost=0.12..66.57 rows=427 width=44) (actual time=0.004..0.004 rows=0 loops=1)

679. 0.005 0.005 ↓ 0.0 0 1

Index Scan using datas_part_0000008835_idstatustype_idx on datas_part_0000008835 datas_part_0000008835_1 (cost=0.12..65.51 rows=426 width=44) (actual time=0.005..0.005 rows=0 loops=1)

680. 0.005 0.005 ↓ 0.0 0 1

Index Scan using datas_part_0000008836_idstatustype_idx on datas_part_0000008836 datas_part_0000008836_1 (cost=0.12..63.50 rows=430 width=44) (actual time=0.005..0.005 rows=0 loops=1)

681. 0.004 0.004 ↓ 0.0 0 1

Index Scan using datas_part_0000008837_idstatustype_idx on datas_part_0000008837 datas_part_0000008837_1 (cost=0.12..58.37 rows=430 width=44) (actual time=0.004..0.004 rows=0 loops=1)

682. 0.006 0.006 ↓ 0.0 0 1

Index Scan using datas_part_0000008838_idstatustype_idx on datas_part_0000008838 datas_part_0000008838_1 (cost=0.12..61.59 rows=430 width=44) (actual time=0.005..0.006 rows=0 loops=1)

683. 0.004 0.004 ↓ 0.0 0 1

Index Scan using datas_part_0000008839_idstatustype_idx on datas_part_0000008839 datas_part_0000008839_1 (cost=0.12..57.64 rows=452 width=44) (actual time=0.004..0.004 rows=0 loops=1)

684. 0.004 0.004 ↓ 0.0 0 1

Index Scan using datas_part_0000008840_idstatustype_idx on datas_part_0000008840 datas_part_0000008840_1 (cost=0.12..56.39 rows=426 width=44) (actual time=0.004..0.004 rows=0 loops=1)

685. 0.004 0.004 ↓ 0.0 0 1

Index Scan using datas_part_0000008841_idstatustype_idx on datas_part_0000008841 datas_part_0000008841_1 (cost=0.12..77.50 rows=436 width=44) (actual time=0.004..0.004 rows=0 loops=1)

686. 0.004 0.004 ↓ 0.0 0 1

Index Scan using datas_part_0000008842_idstatustype_idx on datas_part_0000008842 datas_part_0000008842_1 (cost=0.12..56.33 rows=422 width=44) (actual time=0.004..0.004 rows=0 loops=1)

687. 0.004 0.004 ↓ 0.0 0 1

Index Scan using datas_part_0000008843_idstatustype_idx on datas_part_0000008843 datas_part_0000008843_1 (cost=0.12..60.52 rows=424 width=44) (actual time=0.004..0.004 rows=0 loops=1)

688. 0.005 0.005 ↓ 0.0 0 1

Index Scan using datas_part_0000008844_idstatustype_idx on datas_part_0000008844 datas_part_0000008844_1 (cost=0.12..64.72 rows=427 width=44) (actual time=0.005..0.005 rows=0 loops=1)

689. 0.004 0.004 ↓ 0.0 0 1

Index Scan using datas_part_0000008846_idstatustype_idx on datas_part_0000008846 datas_part_0000008846_1 (cost=0.12..65.71 rows=437 width=44) (actual time=0.004..0.004 rows=0 loops=1)

690. 0.004 0.004 ↓ 0.0 0 1

Index Scan using datas_part_0000008847_idstatustype_idx on datas_part_0000008847 datas_part_0000008847_1 (cost=0.12..63.79 rows=449 width=44) (actual time=0.004..0.004 rows=0 loops=1)

691. 0.004 0.004 ↓ 0.0 0 1

Index Scan using datas_part_0000008848_idstatustype_idx on datas_part_0000008848 datas_part_0000008848_1 (cost=0.12..60.48 rows=424 width=44) (actual time=0.004..0.004 rows=0 loops=1)

692. 0.004 0.004 ↓ 0.0 0 1

Index Scan using datas_part_0000008849_idstatustype_idx on datas_part_0000008849 datas_part_0000008849_1 (cost=0.12..61.68 rows=431 width=44) (actual time=0.004..0.004 rows=0 loops=1)

693. 0.004 0.004 ↓ 0.0 0 1

Index Scan using datas_part_0000008850_idstatustype_idx on datas_part_0000008850 datas_part_0000008850_1 (cost=0.12..66.71 rows=436 width=44) (actual time=0.004..0.004 rows=0 loops=1)

694. 0.004 0.004 ↓ 0.0 0 1

Index Scan using datas_part_0000008851_idstatustype_idx on datas_part_0000008851 datas_part_0000008851_1 (cost=0.12..59.79 rows=446 width=44) (actual time=0.004..0.004 rows=0 loops=1)

695. 0.004 0.004 ↓ 0.0 0 1

Index Scan using datas_part_0000008853_idstatustype_idx on datas_part_0000008853 datas_part_0000008853_1 (cost=0.12..62.16 rows=414 width=44) (actual time=0.004..0.004 rows=0 loops=1)

696. 0.004 0.004 ↓ 0.0 0 1

Index Scan using datas_part_0000008854_idstatustype_idx on datas_part_0000008854 datas_part_0000008854_1 (cost=0.12..63.32 rows=401 width=44) (actual time=0.004..0.004 rows=0 loops=1)

697. 0.004 0.004 ↓ 0.0 0 1

Index Scan using datas_part_0000008855_idstatustype_idx on datas_part_0000008855 datas_part_0000008855_1 (cost=0.12..65.19 rows=436 width=44) (actual time=0.004..0.004 rows=0 loops=1)

698. 0.004 0.004 ↓ 0.0 0 1

Index Scan using datas_part_0000008856_idstatustype_idx on datas_part_0000008856 datas_part_0000008856_1 (cost=0.12..57.52 rows=432 width=44) (actual time=0.004..0.004 rows=0 loops=1)

699. 0.004 0.004 ↓ 0.0 0 1

Index Scan using datas_part_0000008857_idstatustype_idx on datas_part_0000008857 datas_part_0000008857_1 (cost=0.12..61.56 rows=431 width=44) (actual time=0.004..0.004 rows=0 loops=1)

700. 0.011 0.011 ↓ 0.0 0 1

Index Scan using datas_part_0000008858_idstatustype_idx on datas_part_0000008858 datas_part_0000008858_1 (cost=0.12..63.73 rows=437 width=44) (actual time=0.011..0.011 rows=0 loops=1)

701. 0.004 0.004 ↓ 0.0 0 1

Index Scan using datas_part_0000008860_idstatustype_idx on datas_part_0000008860 datas_part_0000008860_1 (cost=0.12..62.58 rows=428 width=44) (actual time=0.004..0.004 rows=0 loops=1)

702. 0.004 0.004 ↓ 0.0 0 1

Index Scan using datas_part_0000008861_idstatustype_idx on datas_part_0000008861 datas_part_0000008861_1 (cost=0.12..62.52 rows=424 width=44) (actual time=0.004..0.004 rows=0 loops=1)

703. 0.063 0.063 ↓ 0.0 0 1

Index Scan using datas_part_0000008863_idstatustype_idx on datas_part_0000008863 datas_part_0000008863_1 (cost=0.12..56.39 rows=418 width=44) (actual time=0.063..0.063 rows=0 loops=1)

704. 0.006 0.006 ↓ 0.0 0 1

Index Scan using datas_part_0000008864_idstatustype_idx on datas_part_0000008864 datas_part_0000008864_1 (cost=0.12..55.16 rows=393 width=44) (actual time=0.006..0.006 rows=0 loops=1)

705. 0.005 0.005 ↓ 0.0 0 1

Index Scan using datas_part_0000008865_idstatustype_idx on datas_part_0000008865 datas_part_0000008865_1 (cost=0.12..62.35 rows=421 width=44) (actual time=0.005..0.005 rows=0 loops=1)

706. 0.021 0.021 ↑ 424.0 1 1

Index Scan using datas_part_0000008866_idstatustype_idx on datas_part_0000008866 datas_part_0000008866_1 (cost=0.12..63.93 rows=424 width=44) (actual time=0.020..0.021 rows=1 loops=1)

707. 0.005 0.005 ↓ 0.0 0 1

Index Scan using datas_part_0000008867_idstatustype_idx on datas_part_0000008867 datas_part_0000008867_1 (cost=0.12..64.48 rows=410 width=44) (actual time=0.005..0.005 rows=0 loops=1)

708. 0.004 0.004 ↓ 0.0 0 1

Index Scan using datas_part_0000008868_idstatustype_idx on datas_part_0000008868 datas_part_0000008868_1 (cost=0.12..62.36 rows=403 width=44) (actual time=0.004..0.004 rows=0 loops=1)

709. 0.004 0.004 ↓ 0.0 0 1

Index Scan using datas_part_0000008869_idstatustype_idx on datas_part_0000008869 datas_part_0000008869_1 (cost=0.12..64.72 rows=434 width=44) (actual time=0.004..0.004 rows=0 loops=1)

710. 0.004 0.004 ↓ 0.0 0 1

Index Scan using datas_part_0000008870_idstatustype_idx on datas_part_0000008870 datas_part_0000008870_1 (cost=0.12..65.47 rows=425 width=44) (actual time=0.004..0.004 rows=0 loops=1)

711. 0.004 0.004 ↓ 0.0 0 1

Index Scan using datas_part_0000008871_idstatustype_idx on datas_part_0000008871 datas_part_0000008871_1 (cost=0.12..60.57 rows=435 width=44) (actual time=0.004..0.004 rows=0 loops=1)

712. 0.006 0.006 ↓ 0.0 0 1

Index Scan using datas_part_0000008872_idstatustype_idx on datas_part_0000008872 datas_part_0000008872_1 (cost=0.12..61.55 rows=428 width=44) (actual time=0.006..0.006 rows=0 loops=1)

713. 0.002 0.002 ↓ 0.0 0 1

Index Scan using datas_part_0000008873_idstatustype_idx on datas_part_0000008873 datas_part_0000008873_1 (cost=0.12..68.75 rows=435 width=44) (actual time=0.002..0.002 rows=0 loops=1)

714. 0.002 0.002 ↓ 0.0 0 1

Index Scan using datas_part_0000008874_idstatustype_idx on datas_part_0000008874 datas_part_0000008874_1 (cost=0.12..62.27 rows=430 width=44) (actual time=0.002..0.002 rows=0 loops=1)

715. 0.002 0.002 ↓ 0.0 0 1

Index Scan using datas_part_0000008875_idstatustype_idx on datas_part_0000008875 datas_part_0000008875_1 (cost=0.12..59.74 rows=426 width=44) (actual time=0.002..0.002 rows=0 loops=1)

716. 0.002 0.002 ↓ 0.0 0 1

Index Scan using datas_part_0000008876_idstatustype_idx on datas_part_0000008876 datas_part_0000008876_1 (cost=0.12..62.60 rows=439 width=44) (actual time=0.002..0.002 rows=0 loops=1)

717. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008877_idstatustype_idx on datas_part_0000008877 datas_part_0000008877_1 (cost=0.12..63.59 rows=435 width=44) (actual time=0.003..0.003 rows=0 loops=1)

718. 0.002 0.002 ↓ 0.0 0 1

Index Scan using datas_part_0000008878_idstatustype_idx on datas_part_0000008878 datas_part_0000008878_1 (cost=0.12..60.52 rows=429 width=44) (actual time=0.002..0.002 rows=0 loops=1)

719. 0.002 0.002 ↓ 0.0 0 1

Index Scan using datas_part_0000008879_idstatustype_idx on datas_part_0000008879 datas_part_0000008879_1 (cost=0.12..67.58 rows=424 width=44) (actual time=0.002..0.002 rows=0 loops=1)

720. 0.002 0.002 ↓ 0.0 0 1

Index Scan using datas_part_0000008880_idstatustype_idx on datas_part_0000008880 datas_part_0000008880_1 (cost=0.12..64.66 rows=443 width=44) (actual time=0.002..0.002 rows=0 loops=1)

721. 0.002 0.002 ↓ 0.0 0 1

Index Scan using datas_part_0000008881_idstatustype_idx on datas_part_0000008881 datas_part_0000008881_1 (cost=0.12..57.59 rows=452 width=44) (actual time=0.002..0.002 rows=0 loops=1)

722. 0.002 0.002 ↓ 0.0 0 1

Index Scan using datas_part_0000008882_idstatustype_idx on datas_part_0000008882 datas_part_0000008882_1 (cost=0.12..63.53 rows=426 width=44) (actual time=0.002..0.002 rows=0 loops=1)

723. 0.002 0.002 ↓ 0.0 0 1

Index Scan using datas_part_0000008883_idstatustype_idx on datas_part_0000008883 datas_part_0000008883_1 (cost=0.12..59.45 rows=425 width=44) (actual time=0.002..0.002 rows=0 loops=1)

724. 0.002 0.002 ↓ 0.0 0 1

Index Scan using datas_part_0000008884_idstatustype_idx on datas_part_0000008884 datas_part_0000008884_1 (cost=0.12..55.60 rows=431 width=44) (actual time=0.002..0.002 rows=0 loops=1)

725. 0.002 0.002 ↓ 0.0 0 1

Index Scan using datas_part_0000008885_idstatustype_idx on datas_part_0000008885 datas_part_0000008885_1 (cost=0.12..58.46 rows=431 width=44) (actual time=0.002..0.002 rows=0 loops=1)

726. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008886_idstatustype_idx on datas_part_0000008886 datas_part_0000008886_1 (cost=0.12..56.74 rows=450 width=44) (actual time=0.003..0.003 rows=0 loops=1)

727. 0.002 0.002 ↓ 0.0 0 1

Index Scan using datas_part_0000008887_idstatustype_idx on datas_part_0000008887 datas_part_0000008887_1 (cost=0.12..64.59 rows=442 width=44) (actual time=0.002..0.002 rows=0 loops=1)

728. 0.004 0.004 ↓ 0.0 0 1

Index Scan using datas_part_0000008888_idstatustype_idx on datas_part_0000008888 datas_part_0000008888_1 (cost=0.12..60.50 rows=434 width=44) (actual time=0.004..0.004 rows=0 loops=1)

729. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008889_idstatustype_idx on datas_part_0000008889 datas_part_0000008889_1 (cost=0.12..66.50 rows=424 width=44) (actual time=0.003..0.003 rows=0 loops=1)

730. 0.004 0.004 ↓ 0.0 0 1

Index Scan using datas_part_0000008890_idstatustype_idx on datas_part_0000008890 datas_part_0000008890_1 (cost=0.12..60.98 rows=435 width=44) (actual time=0.004..0.004 rows=0 loops=1)

731. 0.004 0.004 ↓ 0.0 0 1

Index Scan using datas_part_0000008891_idstatustype_idx on datas_part_0000008891 datas_part_0000008891_1 (cost=0.12..62.52 rows=436 width=44) (actual time=0.004..0.004 rows=0 loops=1)

732. 0.007 0.007 ↓ 0.0 0 1

Index Scan using datas_part_0000008892_idstatustype_idx on datas_part_0000008892 datas_part_0000008892_1 (cost=0.12..59.71 rows=425 width=44) (actual time=0.007..0.007 rows=0 loops=1)

733. 0.004 0.004 ↓ 0.0 0 1

Index Scan using datas_part_0000008893_idstatustype_idx on datas_part_0000008893 datas_part_0000008893_1 (cost=0.12..61.53 rows=440 width=44) (actual time=0.004..0.004 rows=0 loops=1)

734. 0.002 0.002 ↓ 0.0 0 1

Index Scan using datas_part_0000008894_idstatustype_idx on datas_part_0000008894 datas_part_0000008894_1 (cost=0.12..60.53 rows=441 width=44) (actual time=0.002..0.002 rows=0 loops=1)

735. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008895_idstatustype_idx on datas_part_0000008895 datas_part_0000008895_1 (cost=0.12..73.59 rows=440 width=44) (actual time=0.003..0.003 rows=0 loops=1)

736. 0.010 0.010 ↓ 0.0 0 1

Index Scan using datas_part_0000008896_idstatustype_idx on datas_part_0000008896 datas_part_0000008896_1 (cost=0.12..62.51 rows=436 width=44) (actual time=0.010..0.010 rows=0 loops=1)

737. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008897_idstatustype_idx on datas_part_0000008897 datas_part_0000008897_1 (cost=0.12..74.66 rows=411 width=44) (actual time=0.002..0.003 rows=0 loops=1)

738. 0.002 0.002 ↓ 0.0 0 1

Index Scan using datas_part_0000008898_idstatustype_idx on datas_part_0000008898 datas_part_0000008898_1 (cost=0.12..74.59 rows=423 width=44) (actual time=0.002..0.002 rows=0 loops=1)

739. 0.002 0.002 ↓ 0.0 0 1

Index Scan using datas_part_0000008899_idstatustype_idx on datas_part_0000008899 datas_part_0000008899_1 (cost=0.12..60.77 rows=449 width=44) (actual time=0.002..0.002 rows=0 loops=1)

740. 0.002 0.002 ↓ 0.0 0 1

Index Scan using datas_part_0000008900_idstatustype_idx on datas_part_0000008900 datas_part_0000008900_1 (cost=0.12..67.66 rows=422 width=44) (actual time=0.002..0.002 rows=0 loops=1)

741. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008901_idstatustype_idx on datas_part_0000008901 datas_part_0000008901_1 (cost=0.12..79.40 rows=404 width=44) (actual time=0.003..0.003 rows=0 loops=1)

742. 0.002 0.002 ↓ 0.0 0 1

Index Scan using datas_part_0000008902_idstatustype_idx on datas_part_0000008902 datas_part_0000008902_1 (cost=0.12..61.58 rows=444 width=44) (actual time=0.002..0.002 rows=0 loops=1)

743. 0.041 0.041 ↓ 0.0 0 1

Index Scan using datas_part_0000008904_idstatustype_idx on datas_part_0000008904 datas_part_0000008904_1 (cost=0.12..80.96 rows=434 width=44) (actual time=0.041..0.041 rows=0 loops=1)

744. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008905_idstatustype_idx on datas_part_0000008905 datas_part_0000008905_1 (cost=0.12..60.48 rows=436 width=44) (actual time=0.003..0.003 rows=0 loops=1)

745. 0.002 0.002 ↓ 0.0 0 1

Index Scan using datas_part_0000008906_idstatustype_idx on datas_part_0000008906 datas_part_0000008906_1 (cost=0.12..76.57 rows=400 width=44) (actual time=0.002..0.002 rows=0 loops=1)

746. 0.002 0.002 ↓ 0.0 0 1

Index Scan using datas_part_0000008907_idstatustype_idx on datas_part_0000008907 datas_part_0000008907_1 (cost=0.12..57.48 rows=433 width=44) (actual time=0.002..0.002 rows=0 loops=1)

747. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008908_idstatustype_idx on datas_part_0000008908 datas_part_0000008908_1 (cost=0.12..80.55 rows=400 width=44) (actual time=0.003..0.003 rows=0 loops=1)

748. 0.002 0.002 ↓ 0.0 0 1

Index Scan using datas_part_0000008909_idstatustype_idx on datas_part_0000008909 datas_part_0000008909_1 (cost=0.12..61.47 rows=428 width=44) (actual time=0.002..0.002 rows=0 loops=1)

749. 0.002 0.002 ↓ 0.0 0 1

Index Scan using datas_part_0000008910_idstatustype_idx on datas_part_0000008910 datas_part_0000008910_1 (cost=0.12..61.47 rows=427 width=44) (actual time=0.002..0.002 rows=0 loops=1)

750. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008911_idstatustype_idx on datas_part_0000008911 datas_part_0000008911_1 (cost=0.12..60.49 rows=431 width=44) (actual time=0.003..0.003 rows=0 loops=1)

751. 0.002 0.002 ↓ 0.0 0 1

Index Scan using datas_part_0000008912_idstatustype_idx on datas_part_0000008912 datas_part_0000008912_1 (cost=0.12..63.59 rows=426 width=44) (actual time=0.002..0.002 rows=0 loops=1)

752. 0.002 0.002 ↓ 0.0 0 1

Index Scan using datas_part_0000008913_idstatustype_idx on datas_part_0000008913 datas_part_0000008913_1 (cost=0.12..58.72 rows=439 width=44) (actual time=0.002..0.002 rows=0 loops=1)

753. 0.002 0.002 ↓ 0.0 0 1

Index Scan using datas_part_0000008914_idstatustype_idx on datas_part_0000008914 datas_part_0000008914_1 (cost=0.12..64.38 rows=443 width=44) (actual time=0.002..0.002 rows=0 loops=1)

754. 0.002 0.002 ↓ 0.0 0 1

Index Scan using datas_part_0000008915_idstatustype_idx on datas_part_0000008915 datas_part_0000008915_1 (cost=0.12..70.47 rows=398 width=44) (actual time=0.002..0.002 rows=0 loops=1)

755. 0.002 0.002 ↓ 0.0 0 1

Index Scan using datas_part_0000008917_idstatustype_idx on datas_part_0000008917 datas_part_0000008917_1 (cost=0.12..65.53 rows=429 width=44) (actual time=0.002..0.002 rows=0 loops=1)

756. 0.002 0.002 ↓ 0.0 0 1

Index Scan using datas_part_0000008919_idstatustype_idx on datas_part_0000008919 datas_part_0000008919_1 (cost=0.12..61.57 rows=445 width=44) (actual time=0.002..0.002 rows=0 loops=1)

757. 0.002 0.002 ↓ 0.0 0 1

Index Scan using datas_part_0000008920_idstatustype_idx on datas_part_0000008920 datas_part_0000008920_1 (cost=0.12..62.63 rows=439 width=44) (actual time=0.002..0.002 rows=0 loops=1)

758. 0.002 0.002 ↓ 0.0 0 1

Index Scan using datas_part_0000008921_idstatustype_idx on datas_part_0000008921 datas_part_0000008921_1 (cost=0.12..63.54 rows=432 width=44) (actual time=0.002..0.002 rows=0 loops=1)

759. 0.002 0.002 ↓ 0.0 0 1

Index Scan using datas_part_0000008922_idstatustype_idx on datas_part_0000008922 datas_part_0000008922_1 (cost=0.12..56.79 rows=446 width=44) (actual time=0.002..0.002 rows=0 loops=1)

760. 0.002 0.002 ↓ 0.0 0 1

Index Scan using datas_part_0000008923_idstatustype_idx on datas_part_0000008923 datas_part_0000008923_1 (cost=0.12..66.71 rows=445 width=44) (actual time=0.002..0.002 rows=0 loops=1)

761. 0.002 0.002 ↓ 0.0 0 1

Index Scan using datas_part_0000008924_idstatustype_idx on datas_part_0000008924 datas_part_0000008924_1 (cost=0.12..68.69 rows=439 width=44) (actual time=0.002..0.002 rows=0 loops=1)

762. 0.002 0.002 ↓ 0.0 0 1

Index Scan using datas_part_0000008925_idstatustype_idx on datas_part_0000008925 datas_part_0000008925_1 (cost=0.12..62.88 rows=432 width=44) (actual time=0.002..0.002 rows=0 loops=1)

763. 0.002 0.002 ↓ 0.0 0 1

Index Scan using datas_part_0000008926_idstatustype_idx on datas_part_0000008926 datas_part_0000008926_1 (cost=0.12..60.50 rows=433 width=44) (actual time=0.002..0.002 rows=0 loops=1)

764. 0.002 0.002 ↓ 0.0 0 1

Index Scan using datas_part_0000008927_idstatustype_idx on datas_part_0000008927 datas_part_0000008927_1 (cost=0.12..61.77 rows=424 width=44) (actual time=0.002..0.002 rows=0 loops=1)

765. 0.002 0.002 ↓ 0.0 0 1

Index Scan using datas_part_0000008928_idstatustype_idx on datas_part_0000008928 datas_part_0000008928_1 (cost=0.12..70.20 rows=430 width=44) (actual time=0.002..0.002 rows=0 loops=1)

766. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008929_idstatustype_idx on datas_part_0000008929 datas_part_0000008929_1 (cost=0.12..65.54 rows=421 width=44) (actual time=0.002..0.003 rows=0 loops=1)

767. 0.002 0.002 ↓ 0.0 0 1

Index Scan using datas_part_0000008930_idstatustype_idx on datas_part_0000008930 datas_part_0000008930_1 (cost=0.12..60.54 rows=418 width=44) (actual time=0.002..0.002 rows=0 loops=1)

768. 0.002 0.002 ↓ 0.0 0 1

Index Scan using datas_part_0000008931_idstatustype_idx on datas_part_0000008931 datas_part_0000008931_1 (cost=0.12..55.52 rows=438 width=44) (actual time=0.002..0.002 rows=0 loops=1)

769. 0.002 0.002 ↓ 0.0 0 1

Index Scan using datas_part_0000008932_idstatustype_idx on datas_part_0000008932 datas_part_0000008932_1