explain.depesz.com

PostgreSQL's explain analyze made readable

Result: dne3

Settings
# exclusive inclusive rows x rows loops node
1. 1,206.628 3,355.440 ↓ 48.0 48 1

Hash Join (cost=47,547.01..180,937.53 rows=1 width=8) (actual time=368.814..3,355.440 rows=48 loops=1)

  • Hash Cond: ((datas_part_0000008825.idaccount = datas_part_0000008825_1.idaccount) AND (datas_part_0000008825.source = datas_part_0000008825_1.source) AND (datas_part_0000008825.ideventtype = datas_part_0000008825_1.ideventtype) AND (datas_part_0000008825.idequipment = datas_part_0000008825_1.idequipment) AND (datas_part_0000008825.idstatustype = datas_part_0000008825_1.idstatustype) AND (datas_part_0000008825.dateevent = (max(datas_part_0000008825_1.dateevent))))
2. 356.270 2,146.630 ↓ 1.0 841,463 1

Append (cost=0.00..120,149.50 rows=840,700 width=60) (actual time=0.056..2,146.630 rows=841,463 loops=1)

3. 0.750 0.750 ↑ 1.0 1,317 1

Seq Scan on datas_part_0000008825 (cost=0.00..167.17 rows=1,317 width=60) (actual time=0.054..0.750 rows=1,317 loops=1)

4. 0.747 0.747 ↑ 1.0 1,311 1

Seq Scan on datas_part_0000008826 (cost=0.00..175.11 rows=1,311 width=60) (actual time=0.041..0.747 rows=1,311 loops=1)

5. 0.910 0.910 ↑ 1.0 1,326 1

Seq Scan on datas_part_0000008827 (cost=0.00..183.26 rows=1,326 width=60) (actual time=0.124..0.910 rows=1,326 loops=1)

6. 0.776 0.776 ↑ 1.0 1,327 1

Seq Scan on datas_part_0000008828 (cost=0.00..175.27 rows=1,327 width=60) (actual time=0.022..0.776 rows=1,327 loops=1)

7. 0.373 0.373 ↑ 1.0 653 1

Seq Scan on datas_part_0000008829 (cost=0.00..76.53 rows=653 width=60) (actual time=0.034..0.373 rows=653 loops=1)

8. 0.908 0.908 ↑ 1.0 1,327 1

Seq Scan on datas_part_0000008830 (cost=0.00..181.27 rows=1,327 width=60) (actual time=0.029..0.908 rows=1,327 loops=1)

9. 2.677 2.677 ↑ 1.0 1,323 1

Seq Scan on datas_part_0000008831 (cost=0.00..171.23 rows=1,323 width=60) (actual time=0.024..2.677 rows=1,323 loops=1)

10. 1.372 1.372 ↑ 1.0 1,301 1

Seq Scan on datas_part_0000008832 (cost=0.00..176.01 rows=1,301 width=60) (actual time=0.016..1.372 rows=1,301 loops=1)

11. 66.992 66.992 ↑ 1.0 1,361 1

Seq Scan on datas_part_0000008833 (cost=0.00..188.69 rows=1,369 width=60) (actual time=0.022..66.992 rows=1,361 loops=1)

12. 0.936 0.936 ↓ 1.0 1,322 1

Seq Scan on datas_part_0000008834 (cost=0.00..195.11 rows=1,311 width=60) (actual time=0.045..0.936 rows=1,322 loops=1)

13. 0.956 0.956 ↑ 1.0 1,317 1

Seq Scan on datas_part_0000008835 (cost=0.00..188.17 rows=1,317 width=60) (actual time=0.047..0.956 rows=1,317 loops=1)

14. 0.928 0.928 ↑ 1.0 1,313 1

Seq Scan on datas_part_0000008836 (cost=0.00..184.13 rows=1,313 width=60) (actual time=0.042..0.928 rows=1,313 loops=1)

15. 0.775 0.775 ↑ 1.0 1,312 1

Seq Scan on datas_part_0000008837 (cost=0.00..169.12 rows=1,312 width=60) (actual time=0.052..0.775 rows=1,312 loops=1)

16. 3.594 3.594 ↓ 1.0 1,329 1

Seq Scan on datas_part_0000008838 (cost=0.00..182.20 rows=1,320 width=60) (actual time=0.041..3.594 rows=1,329 loops=1)

17. 4.934 4.934 ↑ 1.0 1,321 1

Seq Scan on datas_part_0000008839 (cost=0.00..165.21 rows=1,321 width=60) (actual time=0.022..4.934 rows=1,321 loops=1)

18. 0.784 0.784 ↑ 1.0 1,304 1

Seq Scan on datas_part_0000008840 (cost=0.00..162.04 rows=1,304 width=60) (actual time=0.019..0.784 rows=1,304 loops=1)

19. 0.834 0.834 ↑ 1.0 1,309 1

Seq Scan on datas_part_0000008841 (cost=0.00..213.09 rows=1,309 width=60) (actual time=0.019..0.834 rows=1,309 loops=1)

20. 0.786 0.786 ↑ 1.0 1,284 1

Seq Scan on datas_part_0000008842 (cost=0.00..160.84 rows=1,284 width=60) (actual time=0.021..0.786 rows=1,284 loops=1)

21. 0.829 0.829 ↑ 1.0 1,309 1

Seq Scan on datas_part_0000008843 (cost=0.00..175.10 rows=1,310 width=60) (actual time=0.037..0.829 rows=1,309 loops=1)

22. 0.891 0.891 ↑ 1.0 1,304 1

Seq Scan on datas_part_0000008844 (cost=0.00..183.04 rows=1,304 width=60) (actual time=0.020..0.891 rows=1,304 loops=1)

23. 0.846 0.846 ↑ 1.0 1,279 1

Seq Scan on datas_part_0000008846 (cost=0.00..187.79 rows=1,279 width=60) (actual time=0.021..0.846 rows=1,279 loops=1)

24. 1.031 1.031 ↑ 1.0 1,316 1

Seq Scan on datas_part_0000008847 (cost=0.00..183.16 rows=1,316 width=60) (actual time=0.041..1.031 rows=1,316 loops=1)

25. 1.106 1.106 ↑ 1.0 1,273 1

Seq Scan on datas_part_0000008848 (cost=0.00..171.73 rows=1,273 width=60) (actual time=0.017..1.106 rows=1,273 loops=1)

26. 0.827 0.827 ↓ 1.0 1,354 1

Seq Scan on datas_part_0000008849 (cost=0.00..184.46 rows=1,346 width=60) (actual time=0.021..0.827 rows=1,354 loops=1)

27. 2.321 2.321 ↑ 1.0 1,313 1

Seq Scan on datas_part_0000008850 (cost=0.00..192.13 rows=1,313 width=60) (actual time=0.021..2.321 rows=1,313 loops=1)

28. 3.798 3.798 ↑ 1.0 1,404 1

Seq Scan on datas_part_0000008851 (cost=0.00..178.06 rows=1,406 width=60) (actual time=0.016..3.798 rows=1,404 loops=1)

29. 7.650 7.650 ↓ 1.0 1,306 1

Seq Scan on datas_part_0000008853 (cost=0.00..185.03 rows=1,303 width=60) (actual time=0.018..7.650 rows=1,306 loops=1)

30. 0.867 0.867 ↓ 1.0 1,335 1

Seq Scan on datas_part_0000008854 (cost=0.00..187.24 rows=1,324 width=60) (actual time=0.017..0.867 rows=1,335 loops=1)

31. 0.903 0.903 ↑ 1.0 1,308 1

Seq Scan on datas_part_0000008855 (cost=0.00..185.08 rows=1,308 width=60) (actual time=0.020..0.903 rows=1,308 loops=1)

32. 0.801 0.801 ↑ 1.0 1,304 1

Seq Scan on datas_part_0000008856 (cost=0.00..166.04 rows=1,304 width=60) (actual time=0.021..0.801 rows=1,304 loops=1)

33. 9.538 9.538 ↑ 1.0 1,306 1

Seq Scan on datas_part_0000008857 (cost=0.00..177.06 rows=1,306 width=60) (actual time=0.021..9.538 rows=1,306 loops=1)

34. 29.814 29.814 ↑ 1.0 1,315 1

Seq Scan on datas_part_0000008858 (cost=0.00..184.15 rows=1,315 width=60) (actual time=0.020..29.814 rows=1,315 loops=1)

35. 0.827 0.827 ↑ 1.0 1,306 1

Seq Scan on datas_part_0000008860 (cost=0.00..181.06 rows=1,306 width=60) (actual time=0.027..0.827 rows=1,306 loops=1)

36. 0.835 0.835 ↑ 1.0 1,308 1

Seq Scan on datas_part_0000008861 (cost=0.00..180.08 rows=1,308 width=60) (actual time=0.018..0.835 rows=1,308 loops=1)

37. 0.796 0.796 ↑ 1.0 1,272 1

Seq Scan on datas_part_0000008863 (cost=0.00..160.72 rows=1,272 width=60) (actual time=0.021..0.796 rows=1,272 loops=1)

38. 49.747 49.747 ↓ 1.0 1,294 1

Seq Scan on datas_part_0000008864 (cost=0.00..162.83 rows=1,283 width=60) (actual time=0.115..49.747 rows=1,294 loops=1)

39. 0.791 0.791 ↑ 1.0 1,291 1

Seq Scan on datas_part_0000008865 (cost=0.00..178.91 rows=1,291 width=60) (actual time=0.017..0.791 rows=1,291 loops=1)

40. 0.918 0.918 ↑ 1.0 1,304 1

Seq Scan on datas_part_0000008866 (cost=0.00..183.04 rows=1,304 width=60) (actual time=0.020..0.918 rows=1,304 loops=1)

41. 1.288 1.288 ↑ 1.0 1,264 1

Seq Scan on datas_part_0000008867 (cost=0.00..186.64 rows=1,264 width=60) (actual time=0.021..1.288 rows=1,264 loops=1)

42. 0.836 0.836 ↑ 1.0 1,246 1

Seq Scan on datas_part_0000008868 (cost=0.00..182.46 rows=1,246 width=60) (actual time=0.022..0.836 rows=1,246 loops=1)

43. 4.817 4.817 ↑ 1.0 1,302 1

Seq Scan on datas_part_0000008869 (cost=0.00..183.02 rows=1,302 width=60) (actual time=4.029..4.817 rows=1,302 loops=1)

44. 0.787 0.787 ↑ 1.0 1,302 1

Seq Scan on datas_part_0000008870 (cost=0.00..188.02 rows=1,302 width=60) (actual time=0.020..0.787 rows=1,302 loops=1)

45. 0.789 0.789 ↑ 1.0 1,306 1

Seq Scan on datas_part_0000008871 (cost=0.00..175.06 rows=1,306 width=60) (actual time=0.019..0.789 rows=1,306 loops=1)

46. 11.079 11.079 ↑ 1.0 1,318 1

Seq Scan on datas_part_0000008872 (cost=0.00..178.18 rows=1,318 width=60) (actual time=0.020..11.079 rows=1,318 loops=1)

47. 0.920 0.920 ↑ 1.0 1,300 1

Seq Scan on datas_part_0000008873 (cost=0.00..198.00 rows=1,300 width=60) (actual time=0.017..0.920 rows=1,300 loops=1)

48. 3.985 3.985 ↑ 1.0 1,301 1

Seq Scan on datas_part_0000008874 (cost=0.00..180.01 rows=1,301 width=60) (actual time=0.021..3.985 rows=1,301 loops=1)

49. 1.306 1.306 ↑ 1.0 1,298 1

Seq Scan on datas_part_0000008875 (cost=0.00..169.98 rows=1,298 width=60) (actual time=0.014..1.306 rows=1,298 loops=1)

50. 0.836 0.836 ↑ 1.0 1,318 1

Seq Scan on datas_part_0000008876 (cost=0.00..180.18 rows=1,318 width=60) (actual time=0.019..0.836 rows=1,318 loops=1)

51. 0.834 0.834 ↑ 1.0 1,306 1

Seq Scan on datas_part_0000008877 (cost=0.00..183.06 rows=1,306 width=60) (actual time=0.019..0.834 rows=1,306 loops=1)

52. 10.284 10.284 ↑ 1.0 1,293 1

Seq Scan on datas_part_0000008878 (cost=0.00..174.93 rows=1,293 width=60) (actual time=0.022..10.284 rows=1,293 loops=1)

53. 11.428 11.428 ↑ 1.0 1,293 1

Seq Scan on datas_part_0000008879 (cost=0.00..193.93 rows=1,293 width=60) (actual time=0.018..11.428 rows=1,293 loops=1)

54. 0.760 0.760 ↑ 1.0 1,371 1

Seq Scan on datas_part_0000008880 (cost=0.00..191.74 rows=1,374 width=60) (actual time=0.024..0.760 rows=1,371 loops=1)

55. 1.081 1.081 ↓ 1.0 1,397 1

Seq Scan on datas_part_0000008881 (cost=0.00..170.90 rows=1,390 width=60) (actual time=0.036..1.081 rows=1,397 loops=1)

56. 3.247 3.247 ↑ 1.0 1,299 1

Seq Scan on datas_part_0000008882 (cost=0.00..181.99 rows=1,299 width=60) (actual time=0.040..3.247 rows=1,299 loops=1)

57. 13.648 13.648 ↓ 1.0 1,316 1

Seq Scan on datas_part_0000008883 (cost=0.00..176.07 rows=1,307 width=60) (actual time=0.022..13.648 rows=1,316 loops=1)

58. 0.977 0.977 ↑ 1.0 1,312 1

Seq Scan on datas_part_0000008884 (cost=0.00..160.12 rows=1,312 width=60) (actual time=0.015..0.977 rows=1,312 loops=1)

59. 0.797 0.797 ↑ 1.0 1,327 1

Seq Scan on datas_part_0000008885 (cost=0.00..169.27 rows=1,327 width=60) (actual time=0.023..0.797 rows=1,327 loops=1)

60. 0.778 0.778 ↑ 1.0 1,310 1

Seq Scan on datas_part_0000008886 (cost=0.00..163.10 rows=1,310 width=60) (actual time=0.019..0.778 rows=1,310 loops=1)

61. 19.112 19.112 ↑ 1.0 1,325 1

Seq Scan on datas_part_0000008887 (cost=0.00..186.25 rows=1,325 width=60) (actual time=0.019..19.112 rows=1,325 loops=1)

62. 0.762 0.762 ↑ 1.0 1,358 1

Seq Scan on datas_part_0000008888 (cost=0.00..179.70 rows=1,370 width=60) (actual time=0.014..0.762 rows=1,358 loops=1)

63. 5.049 5.049 ↑ 1.0 1,313 1

Seq Scan on datas_part_0000008889 (cost=0.00..192.13 rows=1,313 width=60) (actual time=0.036..5.049 rows=1,313 loops=1)

64. 0.736 0.736 ↑ 1.0 1,323 1

Seq Scan on datas_part_0000008890 (cost=0.00..175.23 rows=1,323 width=60) (actual time=0.029..0.736 rows=1,323 loops=1)

65. 0.742 0.742 ↑ 1.0 1,320 1

Seq Scan on datas_part_0000008891 (cost=0.00..181.20 rows=1,320 width=60) (actual time=0.033..0.742 rows=1,320 loops=1)

66. 2.717 2.717 ↑ 1.0 1,295 1

Seq Scan on datas_part_0000008892 (cost=0.00..171.95 rows=1,295 width=60) (actual time=0.030..2.717 rows=1,295 loops=1)

67. 1.075 1.075 ↑ 1.0 1,320 1

Seq Scan on datas_part_0000008893 (cost=0.00..176.20 rows=1,320 width=60) (actual time=0.020..1.075 rows=1,320 loops=1)

68. 47.134 47.134 ↑ 1.0 1,324 1

Seq Scan on datas_part_0000008894 (cost=0.00..174.24 rows=1,324 width=60) (actual time=0.017..47.134 rows=1,324 loops=1)

69. 0.814 0.814 ↑ 1.0 1,328 1

Seq Scan on datas_part_0000008895 (cost=0.00..189.28 rows=1,328 width=60) (actual time=0.015..0.814 rows=1,328 loops=1)

70. 0.814 0.814 ↑ 1.0 1,325 1

Seq Scan on datas_part_0000008896 (cost=0.00..178.25 rows=1,325 width=60) (actual time=0.021..0.814 rows=1,325 loops=1)

71. 20.334 20.334 ↑ 1.0 1,262 1

Seq Scan on datas_part_0000008897 (cost=0.00..222.70 rows=1,270 width=60) (actual time=0.022..20.334 rows=1,262 loops=1)

72. 5.322 5.322 ↓ 1.0 1,284 1

Seq Scan on datas_part_0000008898 (cost=0.00..221.74 rows=1,274 width=60) (actual time=0.041..5.322 rows=1,284 loops=1)

73. 0.798 0.798 ↑ 1.0 1,317 1

Seq Scan on datas_part_0000008899 (cost=0.00..175.17 rows=1,317 width=60) (actual time=0.018..0.798 rows=1,317 loops=1)

74. 5.046 5.046 ↓ 1.0 1,252 1

Seq Scan on datas_part_0000008900 (cost=0.00..197.39 rows=1,239 width=60) (actual time=0.020..5.046 rows=1,252 loops=1)

75. 0.997 0.997 ↑ 1.0 1,315 1

Seq Scan on datas_part_0000008901 (cost=0.00..232.16 rows=1,316 width=60) (actual time=0.018..0.997 rows=1,315 loops=1)

76. 0.840 0.840 ↑ 1.0 1,331 1

Seq Scan on datas_part_0000008902 (cost=0.00..178.31 rows=1,331 width=60) (actual time=0.017..0.840 rows=1,331 loops=1)

77. 0.945 0.945 ↓ 1.0 1,306 1

Seq Scan on datas_part_0000008904 (cost=0.00..237.94 rows=1,294 width=60) (actual time=0.016..0.945 rows=1,306 loops=1)

78. 0.784 0.784 ↑ 1.0 1,307 1

Seq Scan on datas_part_0000008905 (cost=0.00..173.07 rows=1,307 width=60) (actual time=0.017..0.784 rows=1,307 loops=1)

79. 0.883 0.883 ↓ 1.0 1,279 1

Seq Scan on datas_part_0000008906 (cost=0.00..225.62 rows=1,262 width=60) (actual time=0.019..0.883 rows=1,279 loops=1)

80. 2.217 2.217 ↑ 1.0 1,320 1

Seq Scan on datas_part_0000008907 (cost=0.00..166.20 rows=1,320 width=60) (actual time=0.018..2.217 rows=1,320 loops=1)

81. 13.078 13.078 ↓ 1.0 1,301 1

Seq Scan on datas_part_0000008908 (cost=0.00..238.89 rows=1,289 width=60) (actual time=0.015..13.078 rows=1,301 loops=1)

82. 1.669 1.669 ↑ 1.0 1,311 1

Seq Scan on datas_part_0000008909 (cost=0.00..176.11 rows=1,311 width=60) (actual time=0.017..1.669 rows=1,311 loops=1)

83. 0.827 0.827 ↑ 1.0 1,320 1

Seq Scan on datas_part_0000008910 (cost=0.00..178.20 rows=1,320 width=60) (actual time=0.029..0.827 rows=1,320 loops=1)

84. 1.872 1.872 ↑ 1.0 1,319 1

Seq Scan on datas_part_0000008911 (cost=0.00..174.19 rows=1,319 width=60) (actual time=0.019..1.872 rows=1,319 loops=1)

85. 0.731 0.731 ↑ 1.0 1,327 1

Seq Scan on datas_part_0000008912 (cost=0.00..186.27 rows=1,327 width=60) (actual time=0.023..0.731 rows=1,327 loops=1)

86. 0.836 0.836 ↑ 1.0 1,318 1

Seq Scan on datas_part_0000008913 (cost=0.00..170.18 rows=1,318 width=60) (actual time=0.029..0.836 rows=1,318 loops=1)

87. 21.489 21.489 ↑ 1.0 1,329 1

Seq Scan on datas_part_0000008914 (cost=0.00..186.29 rows=1,329 width=60) (actual time=0.022..21.489 rows=1,329 loops=1)

88. 0.783 0.783 ↑ 1.0 1,237 1

Seq Scan on datas_part_0000008915 (cost=0.00..202.37 rows=1,237 width=60) (actual time=0.019..0.783 rows=1,237 loops=1)

89. 0.816 0.816 ↑ 1.0 1,317 1

Seq Scan on datas_part_0000008917 (cost=0.00..188.17 rows=1,317 width=60) (actual time=0.019..0.816 rows=1,317 loops=1)

90. 0.812 0.812 ↑ 1.0 1,336 1

Seq Scan on datas_part_0000008919 (cost=0.00..176.36 rows=1,336 width=60) (actual time=0.021..0.812 rows=1,336 loops=1)

91. 0.805 0.805 ↑ 1.0 1,325 1

Seq Scan on datas_part_0000008920 (cost=0.00..177.25 rows=1,325 width=60) (actual time=0.019..0.805 rows=1,325 loops=1)

92. 1.064 1.064 ↑ 1.0 1,332 1

Seq Scan on datas_part_0000008921 (cost=0.00..183.32 rows=1,332 width=60) (actual time=0.020..1.064 rows=1,332 loops=1)

93. 0.906 0.906 ↑ 1.0 1,339 1

Seq Scan on datas_part_0000008922 (cost=0.00..166.39 rows=1,339 width=60) (actual time=0.028..0.906 rows=1,339 loops=1)

94. 0.944 0.944 ↑ 1.0 1,322 1

Seq Scan on datas_part_0000008923 (cost=0.00..191.22 rows=1,322 width=60) (actual time=0.024..0.944 rows=1,322 loops=1)

95. 2.016 2.016 ↑ 1.0 1,332 1

Seq Scan on datas_part_0000008924 (cost=0.00..197.32 rows=1,332 width=60) (actual time=0.019..2.016 rows=1,332 loops=1)

96. 0.999 0.999 ↑ 1.0 1,297 1

Seq Scan on datas_part_0000008925 (cost=0.00..178.97 rows=1,297 width=60) (actual time=0.021..0.999 rows=1,297 loops=1)

97. 0.813 0.813 ↑ 1.0 1,328 1

Seq Scan on datas_part_0000008926 (cost=0.00..174.28 rows=1,328 width=60) (actual time=0.015..0.813 rows=1,328 loops=1)

98. 1.365 1.365 ↑ 1.0 1,298 1

Seq Scan on datas_part_0000008927 (cost=0.00..177.98 rows=1,298 width=60) (actual time=0.041..1.365 rows=1,298 loops=1)

99. 0.755 0.755 ↑ 1.0 1,291 1

Seq Scan on datas_part_0000008928 (cost=0.00..199.91 rows=1,291 width=60) (actual time=0.032..0.755 rows=1,291 loops=1)

100. 0.736 0.736 ↑ 1.0 1,282 1

Seq Scan on datas_part_0000008929 (cost=0.00..188.82 rows=1,282 width=60) (actual time=0.036..0.736 rows=1,282 loops=1)

101. 24.131 24.131 ↑ 1.0 1,279 1

Seq Scan on datas_part_0000008930 (cost=0.00..172.79 rows=1,279 width=60) (actual time=0.029..24.131 rows=1,279 loops=1)

102. 3.303 3.303 ↑ 1.0 1,292 1

Seq Scan on datas_part_0000008931 (cost=0.00..152.92 rows=1,292 width=60) (actual time=0.026..3.303 rows=1,292 loops=1)

103. 0.813 0.813 ↑ 1.0 1,259 1

Seq Scan on datas_part_0000008932 (cost=0.00..179.59 rows=1,259 width=60) (actual time=0.020..0.813 rows=1,259 loops=1)

104. 0.883 0.883 ↑ 1.0 1,250 1

Seq Scan on datas_part_0000008933 (cost=0.00..171.50 rows=1,250 width=60) (actual time=0.017..0.883 rows=1,250 loops=1)

105. 0.780 0.780 ↑ 1.0 1,237 1

Seq Scan on datas_part_0000008934 (cost=0.00..174.37 rows=1,237 width=60) (actual time=0.020..0.780 rows=1,237 loops=1)

106. 0.830 0.830 ↑ 1.0 1,291 1

Seq Scan on datas_part_0000008935 (cost=0.00..189.91 rows=1,291 width=60) (actual time=0.018..0.830 rows=1,291 loops=1)

107. 1.627 1.627 ↑ 1.0 1,237 1

Seq Scan on datas_part_0000008936 (cost=0.00..154.37 rows=1,237 width=60) (actual time=0.016..1.627 rows=1,237 loops=1)

108. 0.733 0.733 ↑ 1.0 1,290 1

Seq Scan on datas_part_0000008937 (cost=0.00..187.90 rows=1,290 width=60) (actual time=0.020..0.733 rows=1,290 loops=1)

109. 0.768 0.768 ↑ 1.0 1,284 1

Seq Scan on datas_part_0000008938 (cost=0.00..172.84 rows=1,284 width=60) (actual time=0.032..0.768 rows=1,284 loops=1)

110. 0.850 0.850 ↑ 1.0 1,265 1

Seq Scan on datas_part_0000008939 (cost=0.00..216.65 rows=1,265 width=60) (actual time=0.036..0.850 rows=1,265 loops=1)

111. 0.771 0.771 ↑ 1.0 1,249 1

Seq Scan on datas_part_0000008940 (cost=0.00..177.49 rows=1,249 width=60) (actual time=0.018..0.771 rows=1,249 loops=1)

112. 1.012 1.012 ↑ 1.0 1,287 1

Seq Scan on datas_part_0000008941 (cost=0.00..195.87 rows=1,287 width=60) (actual time=0.020..1.012 rows=1,287 loops=1)

113. 0.813 0.813 ↑ 1.0 1,276 1

Seq Scan on datas_part_0000008942 (cost=0.00..171.76 rows=1,276 width=60) (actual time=0.021..0.813 rows=1,276 loops=1)

114. 0.878 0.878 ↑ 1.0 1,293 1

Seq Scan on datas_part_0000008943 (cost=0.00..175.93 rows=1,293 width=60) (actual time=0.020..0.878 rows=1,293 loops=1)

115. 0.824 0.824 ↑ 1.0 1,279 1

Seq Scan on datas_part_0000008944 (cost=0.00..168.79 rows=1,279 width=60) (actual time=0.027..0.824 rows=1,279 loops=1)

116. 0.658 0.658 ↑ 1.0 1,010 1

Seq Scan on datas_part_0000008945 (cost=0.00..137.10 rows=1,010 width=60) (actual time=0.023..0.658 rows=1,010 loops=1)

117. 0.774 0.774 ↑ 1.0 1,248 1

Seq Scan on datas_part_0000008946 (cost=0.00..169.48 rows=1,248 width=60) (actual time=0.028..0.774 rows=1,248 loops=1)

118. 0.883 0.883 ↑ 1.0 1,272 1

Seq Scan on datas_part_0000008947 (cost=0.00..163.72 rows=1,272 width=60) (actual time=0.035..0.883 rows=1,272 loops=1)

119. 0.839 0.839 ↑ 1.0 1,241 1

Seq Scan on datas_part_0000008948 (cost=0.00..166.41 rows=1,241 width=60) (actual time=0.019..0.839 rows=1,241 loops=1)

120. 0.835 0.835 ↑ 1.0 1,247 1

Seq Scan on datas_part_0000008949 (cost=0.00..164.47 rows=1,247 width=60) (actual time=0.022..0.835 rows=1,247 loops=1)

121. 0.853 0.853 ↑ 1.0 1,294 1

Seq Scan on datas_part_0000008950 (cost=0.00..158.94 rows=1,294 width=60) (actual time=0.020..0.853 rows=1,294 loops=1)

122. 20.039 20.039 ↑ 1.0 1,281 1

Seq Scan on datas_part_0000008951 (cost=0.00..178.81 rows=1,281 width=60) (actual time=0.021..20.039 rows=1,281 loops=1)

123. 1.037 1.037 ↑ 1.0 1,231 1

Seq Scan on datas_part_0000008952 (cost=0.00..173.31 rows=1,231 width=60) (actual time=0.032..1.037 rows=1,231 loops=1)

124. 0.784 0.784 ↑ 1.0 1,272 1

Seq Scan on datas_part_0000008953 (cost=0.00..186.72 rows=1,272 width=60) (actual time=0.017..0.784 rows=1,272 loops=1)

125. 0.784 0.784 ↑ 1.0 1,245 1

Seq Scan on datas_part_0000008954 (cost=0.00..158.45 rows=1,245 width=60) (actual time=0.021..0.784 rows=1,245 loops=1)

126. 0.830 0.830 ↑ 1.0 1,246 1

Seq Scan on datas_part_0000008955 (cost=0.00..165.46 rows=1,246 width=60) (actual time=0.021..0.830 rows=1,246 loops=1)

127. 0.785 0.785 ↑ 1.0 1,224 1

Seq Scan on datas_part_0000008956 (cost=0.00..167.24 rows=1,224 width=60) (actual time=0.022..0.785 rows=1,224 loops=1)

128. 0.869 0.869 ↑ 1.0 1,301 1

Seq Scan on datas_part_0000008957 (cost=0.00..177.01 rows=1,301 width=60) (actual time=0.021..0.869 rows=1,301 loops=1)

129. 0.802 0.802 ↑ 1.0 1,253 1

Seq Scan on datas_part_0000008958 (cost=0.00..170.53 rows=1,253 width=60) (actual time=0.020..0.802 rows=1,253 loops=1)

130. 0.831 0.831 ↓ 1.0 1,285 1

Seq Scan on datas_part_0000008959 (cost=0.00..163.81 rows=1,281 width=60) (actual time=0.020..0.831 rows=1,285 loops=1)

131. 1.556 1.556 ↑ 1.0 1,332 1

Seq Scan on datas_part_0000008960 (cost=0.00..185.37 rows=1,337 width=60) (actual time=0.023..1.556 rows=1,332 loops=1)

132. 0.036 0.036 ↓ 1.0 38 1

Seq Scan on datas_part_0000008961 (cost=0.00..2.37 rows=37 width=60) (actual time=0.021..0.036 rows=38 loops=1)

133. 0.768 0.768 ↓ 1.0 1,318 1

Seq Scan on datas_part_0000008962 (cost=0.00..184.08 rows=1,308 width=60) (actual time=0.010..0.768 rows=1,318 loops=1)

134. 1.080 1.080 ↓ 1.0 1,315 1

Seq Scan on datas_part_0000008963 (cost=0.00..182.13 rows=1,313 width=60) (actual time=0.020..1.080 rows=1,315 loops=1)

135. 0.813 0.813 ↑ 1.0 1,276 1

Seq Scan on datas_part_0000008964 (cost=0.00..191.76 rows=1,276 width=60) (actual time=0.027..0.813 rows=1,276 loops=1)

136. 0.743 0.743 ↑ 1.0 1,281 1

Seq Scan on datas_part_0000008965 (cost=0.00..179.81 rows=1,281 width=60) (actual time=0.021..0.743 rows=1,281 loops=1)

137. 0.765 0.765 ↑ 1.0 1,279 1

Seq Scan on datas_part_0000008967 (cost=0.00..167.79 rows=1,279 width=60) (actual time=0.032..0.765 rows=1,279 loops=1)

138. 0.778 0.778 ↑ 1.0 1,247 1

Seq Scan on datas_part_0000008968 (cost=0.00..167.47 rows=1,247 width=60) (actual time=0.029..0.778 rows=1,247 loops=1)

139. 0.817 0.817 ↑ 1.0 1,270 1

Seq Scan on datas_part_0000008969 (cost=0.00..177.70 rows=1,270 width=60) (actual time=0.045..0.817 rows=1,270 loops=1)

140. 0.854 0.854 ↓ 1.0 1,319 1

Seq Scan on datas_part_0000008970 (cost=0.00..175.13 rows=1,313 width=60) (actual time=0.036..0.854 rows=1,319 loops=1)

141. 0.819 0.819 ↑ 1.0 1,291 1

Seq Scan on datas_part_0000008971 (cost=0.00..178.16 rows=1,316 width=60) (actual time=0.018..0.819 rows=1,291 loops=1)

142. 52.577 52.577 ↓ 1.0 1,306 1

Seq Scan on datas_part_0000008972 (cost=0.00..194.01 rows=1,301 width=60) (actual time=0.020..52.577 rows=1,306 loops=1)

143. 7.245 7.245 ↓ 1.0 1,321 1

Seq Scan on datas_part_0000008973 (cost=0.00..173.16 rows=1,316 width=60) (actual time=0.022..7.245 rows=1,321 loops=1)

144. 0.867 0.867 ↑ 1.0 1,336 1

Seq Scan on datas_part_0000008974 (cost=0.00..185.76 rows=1,376 width=60) (actual time=0.025..0.867 rows=1,336 loops=1)

145. 0.788 0.788 ↑ 1.0 1,286 1

Seq Scan on datas_part_0000008975 (cost=0.00..180.17 rows=1,317 width=60) (actual time=0.026..0.788 rows=1,286 loops=1)

146. 21.140 21.140 ↑ 1.0 1,252 1

Seq Scan on datas_part_0000008976 (cost=0.00..183.52 rows=1,252 width=60) (actual time=0.023..21.140 rows=1,252 loops=1)

147. 0.851 0.851 ↑ 1.0 1,284 1

Seq Scan on datas_part_0000008977 (cost=0.00..168.03 rows=1,303 width=60) (actual time=0.015..0.851 rows=1,284 loops=1)

148. 0.802 0.802 ↓ 1.0 1,320 1

Seq Scan on datas_part_0000008978 (cost=0.00..184.79 rows=1,279 width=60) (actual time=0.018..0.802 rows=1,320 loops=1)

149. 0.750 0.750 ↑ 1.0 1,292 1

Seq Scan on datas_part_0000008979 (cost=0.00..154.98 rows=1,298 width=60) (actual time=0.019..0.750 rows=1,292 loops=1)

150. 0.657 0.657 ↓ 1.0 1,088 1

Seq Scan on datas_part_0000008980 (cost=0.00..151.79 rows=1,079 width=60) (actual time=0.021..0.657 rows=1,088 loops=1)

151. 0.790 0.790 ↑ 1.0 1,228 1

Seq Scan on datas_part_0000008981 (cost=0.00..157.28 rows=1,228 width=60) (actual time=0.020..0.790 rows=1,228 loops=1)

152. 0.931 0.931 ↓ 1.0 1,312 1

Seq Scan on datas_part_0000008982 (cost=0.00..188.01 rows=1,301 width=60) (actual time=0.021..0.931 rows=1,312 loops=1)

153. 0.862 0.862 ↑ 1.0 1,315 1

Seq Scan on datas_part_0000008983 (cost=0.00..165.26 rows=1,326 width=60) (actual time=0.024..0.862 rows=1,315 loops=1)

154. 0.808 0.808 ↓ 1.0 1,318 1

Seq Scan on datas_part_0000008984 (cost=0.00..188.08 rows=1,308 width=60) (actual time=0.021..0.808 rows=1,318 loops=1)

155. 0.789 0.789 ↑ 1.0 1,281 1

Seq Scan on datas_part_0000008985 (cost=0.00..164.81 rows=1,281 width=60) (actual time=0.021..0.789 rows=1,281 loops=1)

156. 0.965 0.965 ↑ 1.1 1,294 1

Seq Scan on datas_part_0000008986 (cost=0.00..203.54 rows=1,454 width=60) (actual time=0.018..0.965 rows=1,294 loops=1)

157. 0.926 0.926 ↑ 1.0 1,313 1

Seq Scan on datas_part_0000008987 (cost=0.00..168.14 rows=1,314 width=60) (actual time=0.043..0.926 rows=1,313 loops=1)

158. 0.820 0.820 ↓ 1.0 1,306 1

Seq Scan on datas_part_0000008988 (cost=0.00..168.98 rows=1,298 width=60) (actual time=0.032..0.820 rows=1,306 loops=1)

159. 0.796 0.796 ↓ 1.0 1,323 1

Seq Scan on datas_part_0000008989 (cost=0.00..177.15 rows=1,315 width=60) (actual time=0.020..0.796 rows=1,323 loops=1)

160. 0.537 0.537 ↓ 1.0 851 1

Seq Scan on datas_part_0000008991 (cost=0.00..117.44 rows=844 width=60) (actual time=0.036..0.537 rows=851 loops=1)

161. 0.808 0.808 ↓ 1.0 1,279 1

Seq Scan on datas_part_0000008992 (cost=0.00..179.77 rows=1,277 width=60) (actual time=0.029..0.808 rows=1,279 loops=1)

162. 4.380 4.380 ↓ 1.0 1,351 1

Seq Scan on datas_part_0000008993 (cost=0.00..196.47 rows=1,347 width=60) (actual time=0.018..4.380 rows=1,351 loops=1)

163. 0.868 0.868 ↓ 1.0 1,322 1

Seq Scan on datas_part_0000008994 (cost=0.00..175.18 rows=1,318 width=60) (actual time=0.021..0.868 rows=1,322 loops=1)

164. 3.708 3.708 ↓ 1.0 1,311 1

Seq Scan on datas_part_0000008997 (cost=0.00..182.09 rows=1,309 width=60) (actual time=0.018..3.708 rows=1,311 loops=1)

165. 16.071 16.071 ↓ 1.0 1,291 1

Seq Scan on datas_part_0000008998 (cost=0.00..177.81 rows=1,281 width=60) (actual time=0.016..16.071 rows=1,291 loops=1)

166. 0.826 0.826 ↓ 1.0 1,329 1

Seq Scan on datas_part_0000008999 (cost=0.00..181.20 rows=1,320 width=60) (actual time=0.019..0.826 rows=1,329 loops=1)

167. 0.774 0.774 ↓ 1.0 1,317 1

Seq Scan on datas_part_0000009000 (cost=0.00..178.16 rows=1,316 width=60) (actual time=0.022..0.774 rows=1,317 loops=1)

168. 0.869 0.869 ↑ 1.0 1,355 1

Seq Scan on datas_part_0000009001 (cost=0.00..173.64 rows=1,364 width=60) (actual time=0.020..0.869 rows=1,355 loops=1)

169. 0.805 0.805 ↓ 1.0 1,312 1

Seq Scan on datas_part_0000009002 (cost=0.00..181.01 rows=1,301 width=60) (actual time=0.039..0.805 rows=1,312 loops=1)

170. 38.150 38.150 ↓ 1.0 1,313 1

Seq Scan on datas_part_0000009003 (cost=0.00..168.06 rows=1,306 width=60) (actual time=0.109..38.150 rows=1,313 loops=1)

171. 0.822 0.822 ↑ 1.0 1,308 1

Seq Scan on datas_part_0000009004 (cost=0.00..168.08 rows=1,308 width=60) (actual time=0.019..0.822 rows=1,308 loops=1)

172. 0.922 0.922 ↑ 1.0 1,314 1

Seq Scan on datas_part_0000009005 (cost=0.00..173.14 rows=1,314 width=60) (actual time=0.052..0.922 rows=1,314 loops=1)

173. 0.811 0.811 ↑ 1.0 1,348 1

Seq Scan on datas_part_0000009006 (cost=0.00..182.48 rows=1,348 width=60) (actual time=0.018..0.811 rows=1,348 loops=1)

174. 0.788 0.788 ↑ 1.0 1,310 1

Seq Scan on datas_part_0000009007 (cost=0.00..170.10 rows=1,310 width=60) (actual time=0.041..0.788 rows=1,310 loops=1)

175. 2.243 2.243 ↑ 1.0 1,319 1

Seq Scan on datas_part_0000009008 (cost=0.00..190.19 rows=1,319 width=60) (actual time=0.032..2.243 rows=1,319 loops=1)

176. 2.043 2.043 ↑ 1.0 1,344 1

Seq Scan on datas_part_0000009009 (cost=0.00..172.44 rows=1,344 width=60) (actual time=0.021..2.043 rows=1,344 loops=1)

177. 0.848 0.848 ↑ 1.0 1,300 1

Seq Scan on datas_part_0000009010 (cost=0.00..188.00 rows=1,300 width=60) (actual time=0.028..0.848 rows=1,300 loops=1)

178. 0.897 0.897 ↑ 1.0 1,328 1

Seq Scan on datas_part_0000009011 (cost=0.00..197.28 rows=1,328 width=60) (actual time=0.021..0.897 rows=1,328 loops=1)

179. 39.941 39.941 ↑ 1.0 1,255 1

Seq Scan on datas_part_0000009012 (cost=0.00..162.55 rows=1,255 width=60) (actual time=0.020..39.941 rows=1,255 loops=1)

180. 15.500 15.500 ↑ 1.0 1,278 1

Seq Scan on datas_part_0000009013 (cost=0.00..172.78 rows=1,278 width=60) (actual time=0.025..15.500 rows=1,278 loops=1)

181. 0.708 0.708 ↑ 1.0 1,271 1

Seq Scan on datas_part_0000009014 (cost=0.00..175.71 rows=1,271 width=60) (actual time=0.033..0.708 rows=1,271 loops=1)

182. 0.905 0.905 ↑ 1.0 1,325 1

Seq Scan on datas_part_0000009015 (cost=0.00..182.25 rows=1,325 width=60) (actual time=0.018..0.905 rows=1,325 loops=1)

183. 0.743 0.743 ↑ 1.0 1,286 1

Seq Scan on datas_part_0000009016 (cost=0.00..187.86 rows=1,286 width=60) (actual time=0.035..0.743 rows=1,286 loops=1)

184. 0.751 0.751 ↑ 1.0 1,278 1

Seq Scan on datas_part_0000009017 (cost=0.00..165.78 rows=1,278 width=60) (actual time=0.034..0.751 rows=1,278 loops=1)

185. 0.807 0.807 ↑ 1.0 1,323 1

Seq Scan on datas_part_0000009018 (cost=0.00..186.23 rows=1,323 width=60) (actual time=0.037..0.807 rows=1,323 loops=1)

186. 0.901 0.901 ↓ 1.0 1,325 1

Seq Scan on datas_part_0000009019 (cost=0.00..184.24 rows=1,324 width=60) (actual time=0.031..0.901 rows=1,325 loops=1)

187. 0.811 0.811 ↑ 1.0 1,319 1

Seq Scan on datas_part_0000009020 (cost=0.00..182.19 rows=1,319 width=60) (actual time=0.037..0.811 rows=1,319 loops=1)

188. 0.829 0.829 ↑ 1.0 1,339 1

Seq Scan on datas_part_0000009021 (cost=0.00..191.39 rows=1,339 width=60) (actual time=0.037..0.829 rows=1,339 loops=1)

189. 0.920 0.920 ↑ 1.0 1,316 1

Seq Scan on datas_part_0000009022 (cost=0.00..153.16 rows=1,316 width=60) (actual time=0.032..0.920 rows=1,316 loops=1)

190. 1.123 1.123 ↑ 1.0 1,329 1

Seq Scan on datas_part_0000009023 (cost=0.00..187.29 rows=1,329 width=60) (actual time=0.020..1.123 rows=1,329 loops=1)

191. 12.656 12.656 ↑ 1.0 1,342 1

Seq Scan on datas_part_0000009024 (cost=0.00..180.42 rows=1,342 width=60) (actual time=0.038..12.656 rows=1,342 loops=1)

192. 0.881 0.881 ↑ 1.0 1,331 1

Seq Scan on datas_part_0000009025 (cost=0.00..175.31 rows=1,331 width=60) (actual time=0.033..0.881 rows=1,331 loops=1)

193. 0.863 0.863 ↑ 1.0 1,310 1

Seq Scan on datas_part_0000009026 (cost=0.00..168.10 rows=1,310 width=60) (actual time=0.035..0.863 rows=1,310 loops=1)

194. 1.189 1.189 ↑ 1.0 1,300 1

Seq Scan on datas_part_0000009027 (cost=0.00..174.00 rows=1,300 width=60) (actual time=0.054..1.189 rows=1,300 loops=1)

195. 0.923 0.923 ↑ 1.0 1,315 1

Seq Scan on datas_part_0000009028 (cost=0.00..180.15 rows=1,315 width=60) (actual time=0.019..0.923 rows=1,315 loops=1)

196. 0.836 0.836 ↑ 1.0 1,319 1

Seq Scan on datas_part_0000009029 (cost=0.00..176.19 rows=1,319 width=60) (actual time=0.020..0.836 rows=1,319 loops=1)

197. 0.870 0.870 ↑ 1.0 1,348 1

Seq Scan on datas_part_0000009030 (cost=0.00..182.48 rows=1,348 width=60) (actual time=0.020..0.870 rows=1,348 loops=1)

198. 5.043 5.043 ↑ 1.0 1,443 1

Seq Scan on datas_part_0000009031 (cost=0.00..217.43 rows=1,443 width=60) (actual time=0.021..5.043 rows=1,443 loops=1)

199. 4.879 4.879 ↑ 1.0 1,314 1

Seq Scan on datas_part_0000009032 (cost=0.00..191.14 rows=1,314 width=60) (actual time=0.030..4.879 rows=1,314 loops=1)

200. 0.815 0.815 ↑ 1.0 1,353 1

Seq Scan on datas_part_0000009033 (cost=0.00..196.53 rows=1,353 width=60) (actual time=0.019..0.815 rows=1,353 loops=1)

201. 0.812 0.812 ↑ 1.0 1,339 1

Seq Scan on datas_part_0000009034 (cost=0.00..191.39 rows=1,339 width=60) (actual time=0.019..0.812 rows=1,339 loops=1)

202. 0.863 0.863 ↑ 1.0 1,277 1

Seq Scan on datas_part_0000009035 (cost=0.00..195.77 rows=1,277 width=60) (actual time=0.020..0.863 rows=1,277 loops=1)

203. 0.736 0.736 ↑ 1.0 1,191 1

Seq Scan on datas_part_0000009036 (cost=0.00..182.91 rows=1,191 width=60) (actual time=0.016..0.736 rows=1,191 loops=1)

204. 0.829 0.829 ↑ 1.0 1,340 1

Seq Scan on datas_part_0000009037 (cost=0.00..209.40 rows=1,340 width=60) (actual time=0.018..0.829 rows=1,340 loops=1)

205. 0.828 0.828 ↑ 1.0 1,327 1

Seq Scan on datas_part_0000009038 (cost=0.00..195.27 rows=1,327 width=60) (actual time=0.020..0.828 rows=1,327 loops=1)

206. 0.838 0.838 ↑ 1.0 1,329 1

Seq Scan on datas_part_0000009039 (cost=0.00..184.29 rows=1,329 width=60) (actual time=0.026..0.838 rows=1,329 loops=1)

207. 0.794 0.794 ↑ 1.0 1,322 1

Seq Scan on datas_part_0000009040 (cost=0.00..185.22 rows=1,322 width=60) (actual time=0.042..0.794 rows=1,322 loops=1)

208. 0.930 0.930 ↑ 1.0 1,361 1

Seq Scan on datas_part_0000009041 (cost=0.00..188.61 rows=1,361 width=60) (actual time=0.049..0.930 rows=1,361 loops=1)

209. 0.842 0.842 ↑ 1.0 1,318 1

Seq Scan on datas_part_0000009042 (cost=0.00..186.18 rows=1,318 width=60) (actual time=0.020..0.842 rows=1,318 loops=1)

210. 0.822 0.822 ↑ 1.0 1,300 1

Seq Scan on datas_part_0000009043 (cost=0.00..156.00 rows=1,300 width=60) (actual time=0.020..0.822 rows=1,300 loops=1)

211. 0.893 0.893 ↑ 1.0 1,303 1

Seq Scan on datas_part_0000009044 (cost=0.00..188.03 rows=1,303 width=60) (actual time=0.021..0.893 rows=1,303 loops=1)

212. 0.917 0.917 ↑ 1.0 1,350 1

Seq Scan on datas_part_0000009045 (cost=0.00..181.50 rows=1,350 width=60) (actual time=0.019..0.917 rows=1,350 loops=1)

213. 0.821 0.821 ↑ 1.0 1,306 1

Seq Scan on datas_part_0000009046 (cost=0.00..159.06 rows=1,306 width=60) (actual time=0.020..0.821 rows=1,306 loops=1)

214. 0.848 0.848 ↑ 1.0 1,315 1

Seq Scan on datas_part_0000009047 (cost=0.00..189.15 rows=1,315 width=60) (actual time=0.018..0.848 rows=1,315 loops=1)

215. 0.867 0.867 ↑ 1.0 1,330 1

Seq Scan on datas_part_0000009048 (cost=0.00..173.30 rows=1,330 width=60) (actual time=0.021..0.867 rows=1,330 loops=1)

216. 0.885 0.885 ↑ 1.0 1,307 1

Seq Scan on datas_part_0000009049 (cost=0.00..181.07 rows=1,307 width=60) (actual time=0.022..0.885 rows=1,307 loops=1)

217. 0.935 0.935 ↑ 1.0 1,352 1

Seq Scan on datas_part_0000009050 (cost=0.00..176.52 rows=1,352 width=60) (actual time=0.018..0.935 rows=1,352 loops=1)

218. 0.931 0.931 ↑ 1.0 1,331 1

Seq Scan on datas_part_0000009051 (cost=0.00..190.31 rows=1,331 width=60) (actual time=0.033..0.931 rows=1,331 loops=1)

219. 19.648 19.648 ↑ 1.0 1,334 1

Seq Scan on datas_part_0000009052 (cost=0.00..181.34 rows=1,334 width=60) (actual time=0.021..19.648 rows=1,334 loops=1)

220. 0.568 0.568 ↑ 1.0 998 1

Seq Scan on datas_part_0000009053 (cost=0.00..136.98 rows=998 width=60) (actual time=0.034..0.568 rows=998 loops=1)

221. 6.672 6.672 ↑ 1.0 1,312 1

Seq Scan on datas_part_0000009054 (cost=0.00..211.12 rows=1,312 width=60) (actual time=0.034..6.672 rows=1,312 loops=1)

222. 0.787 0.787 ↑ 1.0 1,321 1

Seq Scan on datas_part_0000009056 (cost=0.00..200.21 rows=1,321 width=60) (actual time=0.026..0.787 rows=1,321 loops=1)

223. 0.851 0.851 ↑ 1.0 1,313 1

Seq Scan on datas_part_0000009057 (cost=0.00..179.13 rows=1,313 width=60) (actual time=0.026..0.851 rows=1,313 loops=1)

224. 0.825 0.825 ↑ 1.0 1,325 1

Seq Scan on datas_part_0000009058 (cost=0.00..175.25 rows=1,325 width=60) (actual time=0.021..0.825 rows=1,325 loops=1)

225. 2.409 2.409 ↑ 1.0 1,338 1

Seq Scan on datas_part_0000009059 (cost=0.00..181.38 rows=1,338 width=60) (actual time=0.019..2.409 rows=1,338 loops=1)

226. 0.821 0.821 ↑ 1.0 1,285 1

Seq Scan on datas_part_0000009061 (cost=0.00..164.85 rows=1,285 width=60) (actual time=0.021..0.821 rows=1,285 loops=1)

227. 0.779 0.779 ↑ 1.0 1,281 1

Seq Scan on datas_part_0000009062 (cost=0.00..178.81 rows=1,281 width=60) (actual time=0.022..0.779 rows=1,281 loops=1)

228. 0.773 0.773 ↑ 1.0 1,277 1

Seq Scan on datas_part_0000009063 (cost=0.00..162.77 rows=1,277 width=60) (actual time=0.022..0.773 rows=1,277 loops=1)

229. 0.758 0.758 ↑ 1.0 1,228 1

Seq Scan on datas_part_0000009064 (cost=0.00..165.28 rows=1,228 width=60) (actual time=0.021..0.758 rows=1,228 loops=1)

230. 1.184 1.184 ↑ 1.0 1,248 1

Seq Scan on datas_part_0000009066 (cost=0.00..171.48 rows=1,248 width=60) (actual time=0.020..1.184 rows=1,248 loops=1)

231. 0.824 0.824 ↑ 1.0 1,311 1

Seq Scan on datas_part_0000009067 (cost=0.00..164.11 rows=1,311 width=60) (actual time=0.022..0.824 rows=1,311 loops=1)

232. 0.887 0.887 ↑ 1.0 1,286 1

Seq Scan on datas_part_0000009068 (cost=0.00..156.86 rows=1,286 width=60) (actual time=0.019..0.887 rows=1,286 loops=1)

233. 0.790 0.790 ↑ 1.0 1,247 1

Seq Scan on datas_part_0000009069 (cost=0.00..168.47 rows=1,247 width=60) (actual time=0.019..0.790 rows=1,247 loops=1)

234. 4.667 4.667 ↑ 1.0 1,306 1

Seq Scan on datas_part_0000009070 (cost=0.00..154.06 rows=1,306 width=60) (actual time=0.020..4.667 rows=1,306 loops=1)

235. 16.626 16.626 ↑ 1.0 1,246 1

Seq Scan on datas_part_0000009071 (cost=0.00..176.46 rows=1,246 width=60) (actual time=0.020..16.626 rows=1,246 loops=1)

236. 0.824 0.824 ↑ 1.0 1,245 1

Seq Scan on datas_part_0000009072 (cost=0.00..160.45 rows=1,245 width=60) (actual time=0.017..0.824 rows=1,245 loops=1)

237. 0.817 0.817 ↑ 1.0 1,255 1

Seq Scan on datas_part_0000009073 (cost=0.00..182.55 rows=1,255 width=60) (actual time=0.021..0.817 rows=1,255 loops=1)

238. 0.821 0.821 ↑ 1.0 1,247 1

Seq Scan on datas_part_0000009074 (cost=0.00..175.47 rows=1,247 width=60) (actual time=0.090..0.821 rows=1,247 loops=1)

239. 0.758 0.758 ↑ 1.0 1,285 1

Seq Scan on datas_part_0000009075 (cost=0.00..156.85 rows=1,285 width=60) (actual time=0.020..0.758 rows=1,285 loops=1)

240. 22.884 22.884 ↑ 1.0 1,236 1

Seq Scan on datas_part_0000009076 (cost=0.00..164.36 rows=1,236 width=60) (actual time=0.021..22.884 rows=1,236 loops=1)

241. 0.761 0.761 ↑ 1.0 1,213 1

Seq Scan on datas_part_0000009077 (cost=0.00..164.13 rows=1,213 width=60) (actual time=0.021..0.761 rows=1,213 loops=1)

242. 0.778 0.778 ↑ 1.0 1,238 1

Seq Scan on datas_part_0000009078 (cost=0.00..170.38 rows=1,238 width=60) (actual time=0.035..0.778 rows=1,238 loops=1)

243. 0.714 0.714 ↑ 1.0 1,249 1

Seq Scan on datas_part_0000009079 (cost=0.00..162.49 rows=1,249 width=60) (actual time=0.020..0.714 rows=1,249 loops=1)

244. 0.852 0.852 ↑ 1.0 1,272 1

Seq Scan on datas_part_0000009080 (cost=0.00..167.72 rows=1,272 width=60) (actual time=0.043..0.852 rows=1,272 loops=1)

245. 1.667 1.667 ↑ 1.0 1,256 1

Seq Scan on datas_part_0000009081 (cost=0.00..157.56 rows=1,256 width=60) (actual time=0.740..1.667 rows=1,256 loops=1)

246. 0.887 0.887 ↑ 1.0 1,279 1

Seq Scan on datas_part_0000009082 (cost=0.00..170.79 rows=1,279 width=60) (actual time=0.019..0.887 rows=1,279 loops=1)

247. 0.924 0.924 ↑ 1.0 1,273 1

Seq Scan on datas_part_0000009083 (cost=0.00..181.73 rows=1,273 width=60) (actual time=0.021..0.924 rows=1,273 loops=1)

248. 6.012 6.012 ↑ 1.0 1,244 1

Seq Scan on datas_part_0000009085 (cost=0.00..161.44 rows=1,244 width=60) (actual time=0.021..6.012 rows=1,244 loops=1)

249. 1.817 1.817 ↑ 1.0 1,258 1

Seq Scan on datas_part_0000009087 (cost=0.00..165.58 rows=1,258 width=60) (actual time=0.018..1.817 rows=1,258 loops=1)

250. 0.693 0.693 ↑ 1.0 1,233 1

Seq Scan on datas_part_0000009088 (cost=0.00..179.33 rows=1,233 width=60) (actual time=0.016..0.693 rows=1,233 loops=1)

251. 0.734 0.734 ↓ 1.0 1,255 1

Seq Scan on datas_part_0000009089 (cost=0.00..166.48 rows=1,248 width=60) (actual time=0.030..0.734 rows=1,255 loops=1)

252. 0.748 0.748 ↓ 1.0 1,256 1

Seq Scan on datas_part_0000009090 (cost=0.00..164.50 rows=1,250 width=60) (actual time=0.034..0.748 rows=1,256 loops=1)

253. 0.573 0.573 ↑ 1.0 980 1

Seq Scan on datas_part_0000009091 (cost=0.00..127.80 rows=980 width=60) (actual time=0.040..0.573 rows=980 loops=1)

254. 0.760 0.760 ↓ 1.0 1,244 1

Seq Scan on datas_part_0000009092 (cost=0.00..170.36 rows=1,236 width=60) (actual time=0.030..0.760 rows=1,244 loops=1)

255. 0.873 0.873 ↓ 1.0 1,255 1

Seq Scan on datas_part_0000009093 (cost=0.00..172.47 rows=1,247 width=60) (actual time=0.041..0.873 rows=1,255 loops=1)

256. 0.804 0.804 ↑ 1.0 1,268 1

Seq Scan on datas_part_0000009094 (cost=0.00..161.68 rows=1,268 width=60) (actual time=0.035..0.804 rows=1,268 loops=1)

257. 0.827 0.827 ↑ 1.0 1,216 1

Seq Scan on datas_part_0000009095 (cost=0.00..158.16 rows=1,216 width=60) (actual time=0.032..0.827 rows=1,216 loops=1)

258. 0.797 0.797 ↑ 1.0 1,197 1

Seq Scan on datas_part_0000009096 (cost=0.00..160.97 rows=1,197 width=60) (actual time=0.042..0.797 rows=1,197 loops=1)

259. 0.904 0.904 ↑ 1.0 1,289 1

Seq Scan on datas_part_0000009097 (cost=0.00..180.89 rows=1,289 width=60) (actual time=0.039..0.904 rows=1,289 loops=1)

260. 0.827 0.827 ↓ 1.0 1,321 1

Seq Scan on datas_part_0000009098 (cost=0.00..176.12 rows=1,312 width=60) (actual time=0.035..0.827 rows=1,321 loops=1)

261. 0.732 0.732 ↑ 1.0 1,259 1

Seq Scan on datas_part_0000009099 (cost=0.00..167.59 rows=1,259 width=60) (actual time=0.033..0.732 rows=1,259 loops=1)

262. 0.711 0.711 ↑ 1.0 1,224 1

Seq Scan on datas_part_0000009100 (cost=0.00..151.24 rows=1,224 width=60) (actual time=0.033..0.711 rows=1,224 loops=1)

263. 0.774 0.774 ↑ 1.0 1,202 1

Seq Scan on datas_part_0000009101 (cost=0.00..159.02 rows=1,202 width=60) (actual time=0.037..0.774 rows=1,202 loops=1)

264. 10.019 10.019 ↑ 1.0 1,288 1

Seq Scan on datas_part_0000009102 (cost=0.00..170.88 rows=1,288 width=60) (actual time=0.016..10.019 rows=1,288 loops=1)

265. 0.847 0.847 ↑ 1.0 1,203 1

Seq Scan on datas_part_0000009104 (cost=0.00..150.03 rows=1,203 width=60) (actual time=0.089..0.847 rows=1,203 loops=1)

266. 0.854 0.854 ↑ 1.0 1,208 1

Seq Scan on datas_part_0000009105 (cost=0.00..153.08 rows=1,208 width=60) (actual time=0.020..0.854 rows=1,208 loops=1)

267. 0.570 0.570 ↑ 1.0 814 1

Seq Scan on datas_part_0000009106 (cost=0.00..110.14 rows=814 width=60) (actual time=0.022..0.570 rows=814 loops=1)

268. 0.725 0.725 ↑ 1.0 1,178 1

Seq Scan on datas_part_0000009107 (cost=0.00..153.78 rows=1,178 width=60) (actual time=0.021..0.725 rows=1,178 loops=1)

269. 0.817 0.817 ↑ 1.0 1,222 1

Seq Scan on datas_part_0000009108 (cost=0.00..158.22 rows=1,222 width=60) (actual time=0.031..0.817 rows=1,222 loops=1)

270. 0.452 0.452 ↑ 1.0 706 1

Seq Scan on datas_part_0000009109 (cost=0.00..107.06 rows=706 width=60) (actual time=0.020..0.452 rows=706 loops=1)

271. 0.673 0.673 ↑ 1.0 1,233 1

Seq Scan on datas_part_0000009110 (cost=0.00..156.33 rows=1,233 width=60) (actual time=0.019..0.673 rows=1,233 loops=1)

272. 0.657 0.657 ↑ 1.0 1,252 1

Seq Scan on datas_part_0000009111 (cost=0.00..154.52 rows=1,252 width=60) (actual time=0.033..0.657 rows=1,252 loops=1)

273. 0.757 0.757 ↑ 1.0 1,257 1

Seq Scan on datas_part_0000009112 (cost=0.00..168.57 rows=1,257 width=60) (actual time=0.035..0.757 rows=1,257 loops=1)

274. 0.696 0.696 ↑ 1.0 1,234 1

Seq Scan on datas_part_0000009113 (cost=0.00..148.34 rows=1,234 width=60) (actual time=0.021..0.696 rows=1,234 loops=1)

275. 0.701 0.701 ↑ 1.0 1,217 1

Seq Scan on datas_part_0000009114 (cost=0.00..154.17 rows=1,217 width=60) (actual time=0.029..0.701 rows=1,217 loops=1)

276. 0.808 0.808 ↑ 1.0 1,222 1

Seq Scan on datas_part_0000009115 (cost=0.00..152.22 rows=1,222 width=60) (actual time=0.021..0.808 rows=1,222 loops=1)

277. 0.753 0.753 ↑ 1.0 1,200 1

Seq Scan on datas_part_0000009116 (cost=0.00..160.00 rows=1,200 width=60) (actual time=0.032..0.753 rows=1,200 loops=1)

278. 0.686 0.686 ↑ 1.0 1,220 1

Seq Scan on datas_part_0000009117 (cost=0.00..154.20 rows=1,220 width=60) (actual time=0.029..0.686 rows=1,220 loops=1)

279. 0.815 0.815 ↑ 1.0 1,254 1

Seq Scan on datas_part_0000009118 (cost=0.00..163.54 rows=1,254 width=60) (actual time=0.028..0.815 rows=1,254 loops=1)

280. 0.763 0.763 ↑ 1.0 1,196 1

Seq Scan on datas_part_0000009119 (cost=0.00..150.96 rows=1,196 width=60) (actual time=0.032..0.763 rows=1,196 loops=1)

281. 0.830 0.830 ↑ 1.0 1,264 1

Seq Scan on datas_part_0000009120 (cost=0.00..159.64 rows=1,264 width=60) (actual time=0.018..0.830 rows=1,264 loops=1)

282. 0.803 0.803 ↑ 1.0 1,267 1

Seq Scan on datas_part_0000009121 (cost=0.00..156.67 rows=1,267 width=60) (actual time=0.020..0.803 rows=1,267 loops=1)

283. 0.798 0.798 ↑ 1.0 1,258 1

Seq Scan on datas_part_0000009122 (cost=0.00..172.58 rows=1,258 width=60) (actual time=0.019..0.798 rows=1,258 loops=1)

284. 0.742 0.742 ↑ 1.0 1,264 1

Seq Scan on datas_part_0000009123 (cost=0.00..157.64 rows=1,264 width=60) (actual time=0.019..0.742 rows=1,264 loops=1)

285. 0.750 0.750 ↑ 1.0 1,265 1

Seq Scan on datas_part_0000009124 (cost=0.00..159.65 rows=1,265 width=60) (actual time=0.025..0.750 rows=1,265 loops=1)

286. 0.773 0.773 ↑ 1.0 1,279 1

Seq Scan on datas_part_0000009125 (cost=0.00..166.79 rows=1,279 width=60) (actual time=0.022..0.773 rows=1,279 loops=1)

287. 0.763 0.763 ↑ 1.0 1,266 1

Seq Scan on datas_part_0000009126 (cost=0.00..165.66 rows=1,266 width=60) (actual time=0.019..0.763 rows=1,266 loops=1)

288. 0.867 0.867 ↑ 1.0 1,324 1

Seq Scan on datas_part_0000009127 (cost=0.00..176.24 rows=1,324 width=60) (actual time=0.022..0.867 rows=1,324 loops=1)

289. 0.748 0.748 ↑ 1.0 1,267 1

Seq Scan on datas_part_0000009128 (cost=0.00..175.67 rows=1,267 width=60) (actual time=0.021..0.748 rows=1,267 loops=1)

290. 0.789 0.789 ↑ 1.0 1,300 1

Seq Scan on datas_part_0000009129 (cost=0.00..176.00 rows=1,300 width=60) (actual time=0.023..0.789 rows=1,300 loops=1)

291. 0.824 0.824 ↑ 1.0 1,293 1

Seq Scan on datas_part_0000009130 (cost=0.00..177.93 rows=1,293 width=60) (actual time=0.041..0.824 rows=1,293 loops=1)

292. 0.795 0.795 ↑ 1.0 1,231 1

Seq Scan on datas_part_0000009131 (cost=0.00..169.31 rows=1,231 width=60) (actual time=0.049..0.795 rows=1,231 loops=1)

293. 0.859 0.859 ↑ 1.0 1,333 1

Seq Scan on datas_part_0000009132 (cost=0.00..188.33 rows=1,333 width=60) (actual time=0.042..0.859 rows=1,333 loops=1)

294. 1.033 1.033 ↓ 1.0 1,301 1

Seq Scan on datas_part_0000009133 (cost=0.00..172.93 rows=1,293 width=60) (actual time=0.047..1.033 rows=1,301 loops=1)

295. 1.031 1.031 ↓ 1.0 1,309 1

Seq Scan on datas_part_0000009134 (cost=0.00..192.97 rows=1,297 width=60) (actual time=0.021..1.031 rows=1,309 loops=1)

296. 0.898 0.898 ↓ 1.0 1,263 1

Seq Scan on datas_part_0000009135 (cost=0.00..179.53 rows=1,253 width=60) (actual time=0.019..0.898 rows=1,263 loops=1)

297. 0.811 0.811 ↑ 1.0 1,324 1

Seq Scan on datas_part_0000009136 (cost=0.00..183.24 rows=1,324 width=60) (actual time=0.019..0.811 rows=1,324 loops=1)

298. 0.818 0.818 ↑ 1.0 1,312 1

Seq Scan on datas_part_0000009137 (cost=0.00..168.12 rows=1,312 width=60) (actual time=0.021..0.818 rows=1,312 loops=1)

299. 0.747 0.747 ↑ 1.0 1,339 1

Seq Scan on datas_part_0000009138 (cost=0.00..149.39 rows=1,339 width=60) (actual time=0.020..0.747 rows=1,339 loops=1)

300. 0.876 0.876 ↓ 1.0 1,299 1

Seq Scan on datas_part_0000009139 (cost=0.00..208.84 rows=1,284 width=60) (actual time=0.031..0.876 rows=1,299 loops=1)

301. 0.841 0.841 ↓ 1.0 1,293 1

Seq Scan on datas_part_0000009140 (cost=0.00..193.55 rows=1,255 width=60) (actual time=0.017..0.841 rows=1,293 loops=1)

302. 0.663 0.663 ↓ 1.0 984 1

Seq Scan on datas_part_0000009141 (cost=0.00..140.78 rows=978 width=60) (actual time=0.020..0.663 rows=984 loops=1)

303. 0.806 0.806 ↑ 1.0 1,295 1

Seq Scan on datas_part_0000009142 (cost=0.00..152.95 rows=1,295 width=60) (actual time=0.018..0.806 rows=1,295 loops=1)

304. 0.811 0.811 ↓ 1.0 1,312 1

Seq Scan on datas_part_0000009144 (cost=0.00..199.00 rows=1,300 width=60) (actual time=0.018..0.811 rows=1,312 loops=1)

305. 0.854 0.854 ↑ 1.0 1,295 1

Seq Scan on datas_part_0000009145 (cost=0.00..174.95 rows=1,295 width=60) (actual time=0.030..0.854 rows=1,295 loops=1)

306. 0.807 0.807 ↑ 1.0 1,282 1

Seq Scan on datas_part_0000009146 (cost=0.00..178.82 rows=1,282 width=60) (actual time=0.018..0.807 rows=1,282 loops=1)

307. 0.791 0.791 ↑ 1.0 1,296 1

Seq Scan on datas_part_0000009148 (cost=0.00..187.98 rows=1,298 width=60) (actual time=0.016..0.791 rows=1,296 loops=1)

308. 0.744 0.744 ↑ 1.0 1,278 1

Seq Scan on datas_part_0000009149 (cost=0.00..186.08 rows=1,308 width=60) (actual time=0.024..0.744 rows=1,278 loops=1)

309. 0.756 0.756 ↑ 1.0 1,320 1

Seq Scan on datas_part_0000009150 (cost=0.00..160.20 rows=1,320 width=60) (actual time=0.031..0.756 rows=1,320 loops=1)

310. 0.726 0.726 ↑ 1.0 1,234 1

Seq Scan on datas_part_0000009151 (cost=0.00..168.34 rows=1,234 width=60) (actual time=0.031..0.726 rows=1,234 loops=1)

311. 0.775 0.775 ↑ 1.0 1,324 1

Seq Scan on datas_part_0000009152 (cost=0.00..177.24 rows=1,324 width=60) (actual time=0.034..0.775 rows=1,324 loops=1)

312. 0.841 0.841 ↑ 1.0 1,252 1

Seq Scan on datas_part_0000009153 (cost=0.00..191.52 rows=1,252 width=60) (actual time=0.033..0.841 rows=1,252 loops=1)

313. 20.396 20.396 ↑ 1.0 1,314 1

Seq Scan on datas_part_0000009154 (cost=0.00..182.14 rows=1,314 width=60) (actual time=0.033..20.396 rows=1,314 loops=1)

314. 0.840 0.840 ↑ 1.0 1,255 1

Seq Scan on datas_part_0000009155 (cost=0.00..194.55 rows=1,255 width=60) (actual time=0.023..0.840 rows=1,255 loops=1)

315. 0.739 0.739 ↑ 1.0 1,267 1

Seq Scan on datas_part_0000009156 (cost=0.00..201.67 rows=1,267 width=60) (actual time=0.038..0.739 rows=1,267 loops=1)

316. 0.740 0.740 ↑ 1.0 1,276 1

Seq Scan on datas_part_0000009158 (cost=0.00..184.76 rows=1,276 width=60) (actual time=0.029..0.740 rows=1,276 loops=1)

317. 0.956 0.956 ↑ 1.0 1,305 1

Seq Scan on datas_part_0000009159 (cost=0.00..166.05 rows=1,305 width=60) (actual time=0.033..0.956 rows=1,305 loops=1)

318. 0.996 0.996 ↑ 1.0 1,287 1

Seq Scan on datas_part_0000009160 (cost=0.00..181.87 rows=1,287 width=60) (actual time=0.095..0.996 rows=1,287 loops=1)

319. 2.450 2.450 ↑ 1.0 1,325 1

Seq Scan on datas_part_0000009161 (cost=0.00..165.25 rows=1,325 width=60) (actual time=0.024..2.450 rows=1,325 loops=1)

320. 0.804 0.804 ↑ 1.0 1,257 1

Seq Scan on datas_part_0000009162 (cost=0.00..187.57 rows=1,257 width=60) (actual time=0.018..0.804 rows=1,257 loops=1)

321. 0.879 0.879 ↑ 1.0 1,286 1

Seq Scan on datas_part_0000009163 (cost=0.00..192.86 rows=1,286 width=60) (actual time=0.016..0.879 rows=1,286 loops=1)

322. 0.854 0.854 ↑ 1.0 1,285 1

Seq Scan on datas_part_0000009164 (cost=0.00..180.85 rows=1,285 width=60) (actual time=0.019..0.854 rows=1,285 loops=1)

323. 0.809 0.809 ↑ 1.0 1,314 1

Seq Scan on datas_part_0000009165 (cost=0.00..179.14 rows=1,314 width=60) (actual time=0.019..0.809 rows=1,314 loops=1)

324. 0.836 0.836 ↑ 1.0 1,324 1

Seq Scan on datas_part_0000009166 (cost=0.00..184.24 rows=1,324 width=60) (actual time=0.016..0.836 rows=1,324 loops=1)

325. 2.724 2.724 ↑ 1.0 1,332 1

Seq Scan on datas_part_0000009167 (cost=0.00..180.32 rows=1,332 width=60) (actual time=0.019..2.724 rows=1,332 loops=1)

326. 0.898 0.898 ↑ 1.0 1,304 1

Seq Scan on datas_part_0000009168 (cost=0.00..210.04 rows=1,304 width=60) (actual time=0.024..0.898 rows=1,304 loops=1)

327. 0.850 0.850 ↑ 1.0 1,313 1

Seq Scan on datas_part_0000009169 (cost=0.00..182.13 rows=1,313 width=60) (actual time=0.021..0.850 rows=1,313 loops=1)

328. 0.790 0.790 ↑ 1.0 1,264 1

Seq Scan on datas_part_0000009170 (cost=0.00..185.64 rows=1,264 width=60) (actual time=0.039..0.790 rows=1,264 loops=1)

329. 0.817 0.817 ↑ 1.0 1,348 1

Seq Scan on datas_part_0000009171 (cost=0.00..190.51 rows=1,351 width=60) (actual time=0.018..0.817 rows=1,348 loops=1)

330. 0.803 0.803 ↑ 1.0 1,316 1

Seq Scan on datas_part_0000009172 (cost=0.00..180.16 rows=1,316 width=60) (actual time=0.020..0.803 rows=1,316 loops=1)

331. 1.155 1.155 ↑ 1.0 1,321 1

Seq Scan on datas_part_0000009173 (cost=0.00..177.21 rows=1,321 width=60) (actual time=0.021..1.155 rows=1,321 loops=1)

332. 0.874 0.874 ↑ 1.0 1,327 1

Seq Scan on datas_part_0000009174 (cost=0.00..196.27 rows=1,327 width=60) (actual time=0.016..0.874 rows=1,327 loops=1)

333. 0.878 0.878 ↑ 1.0 1,330 1

Seq Scan on datas_part_0000009175 (cost=0.00..175.30 rows=1,330 width=60) (actual time=0.017..0.878 rows=1,330 loops=1)

334. 0.961 0.961 ↑ 1.0 1,336 1

Seq Scan on datas_part_0000009176 (cost=0.00..202.36 rows=1,336 width=60) (actual time=0.023..0.961 rows=1,336 loops=1)

335. 0.831 0.831 ↑ 1.0 1,331 1

Seq Scan on datas_part_0000009178 (cost=0.00..183.31 rows=1,331 width=60) (actual time=0.015..0.831 rows=1,331 loops=1)

336. 0.822 0.822 ↑ 1.0 1,331 1

Seq Scan on datas_part_0000009179 (cost=0.00..175.31 rows=1,331 width=60) (actual time=0.022..0.822 rows=1,331 loops=1)

337. 0.852 0.852 ↑ 1.0 1,327 1

Seq Scan on datas_part_0000009180 (cost=0.00..176.27 rows=1,327 width=60) (actual time=0.016..0.852 rows=1,327 loops=1)

338. 0.880 0.880 ↑ 1.0 1,332 1

Seq Scan on datas_part_0000009181 (cost=0.00..166.32 rows=1,332 width=60) (actual time=0.020..0.880 rows=1,332 loops=1)

339. 0.897 0.897 ↑ 1.0 1,363 1

Seq Scan on datas_part_0000009182 (cost=0.00..192.84 rows=1,384 width=60) (actual time=0.023..0.897 rows=1,363 loops=1)

340. 0.864 0.864 ↑ 1.0 1,371 1

Seq Scan on datas_part_0000009183 (cost=0.00..198.82 rows=1,382 width=60) (actual time=0.044..0.864 rows=1,371 loops=1)

341. 0.886 0.886 ↑ 1.0 1,330 1

Seq Scan on datas_part_0000009184 (cost=0.00..192.30 rows=1,330 width=60) (actual time=0.022..0.886 rows=1,330 loops=1)

342. 7.558 7.558 ↑ 1.0 1,323 1

Seq Scan on datas_part_0000009185 (cost=0.00..193.23 rows=1,323 width=60) (actual time=0.047..7.558 rows=1,323 loops=1)

343. 0.825 0.825 ↑ 1.0 1,332 1

Seq Scan on datas_part_0000009186 (cost=0.00..177.32 rows=1,332 width=60) (actual time=0.017..0.825 rows=1,332 loops=1)

344. 3.578 3.578 ↑ 1.0 1,373 1

Seq Scan on datas_part_0000009187 (cost=0.00..181.73 rows=1,373 width=60) (actual time=0.027..3.578 rows=1,373 loops=1)

345. 1.346 1.346 ↓ 1.0 1,360 1

Seq Scan on datas_part_0000009188 (cost=0.00..184.19 rows=1,319 width=60) (actual time=0.050..1.346 rows=1,360 loops=1)

346. 0.965 0.965 ↓ 1.0 1,361 1

Seq Scan on datas_part_0000009189 (cost=0.00..181.52 rows=1,352 width=60) (actual time=0.016..0.965 rows=1,361 loops=1)

347. 2.959 2.959 ↑ 1.0 1,365 1

Seq Scan on datas_part_0000009190 (cost=0.00..192.65 rows=1,365 width=60) (actual time=0.020..2.959 rows=1,365 loops=1)

348. 1.024 1.024 ↑ 1.0 1,360 1

Seq Scan on datas_part_0000009191 (cost=0.00..196.60 rows=1,360 width=60) (actual time=0.178..1.024 rows=1,360 loops=1)

349. 7.308 7.308 ↑ 1.0 1,366 1

Seq Scan on datas_part_0000009192 (cost=0.00..186.81 rows=1,381 width=60) (actual time=0.042..7.308 rows=1,366 loops=1)

350. 0.856 0.856 ↑ 1.0 1,364 1

Seq Scan on datas_part_0000009193 (cost=0.00..217.64 rows=1,364 width=60) (actual time=0.017..0.856 rows=1,364 loops=1)

351. 0.040 0.040 ↑ 1.0 40 1

Seq Scan on datas_part_0000009195 (cost=0.00..3.40 rows=40 width=60) (actual time=0.025..0.040 rows=40 loops=1)

352. 0.797 0.797 ↑ 1.0 1,313 1

Seq Scan on datas_part_0000009196 (cost=0.00..197.13 rows=1,313 width=60) (actual time=0.012..0.797 rows=1,313 loops=1)

353. 0.981 0.981 ↓ 1.0 1,341 1

Seq Scan on datas_part_0000009197 (cost=0.00..196.37 rows=1,337 width=60) (actual time=0.029..0.981 rows=1,341 loops=1)

354. 0.879 0.879 ↑ 1.0 1,327 1

Seq Scan on datas_part_0000009198 (cost=0.00..182.27 rows=1,327 width=60) (actual time=0.040..0.879 rows=1,327 loops=1)

355. 0.817 0.817 ↓ 1.0 1,350 1

Seq Scan on datas_part_0000009199 (cost=0.00..174.42 rows=1,342 width=60) (actual time=0.041..0.817 rows=1,350 loops=1)

356. 0.891 0.891 ↓ 1.0 1,345 1

Seq Scan on datas_part_0000009200 (cost=0.00..201.04 rows=1,304 width=60) (actual time=0.045..0.891 rows=1,345 loops=1)

357. 0.928 0.928 ↓ 1.0 1,336 1

Seq Scan on datas_part_0000009201 (cost=0.00..190.25 rows=1,325 width=60) (actual time=0.020..0.928 rows=1,336 loops=1)

358. 0.802 0.802 ↑ 1.0 1,317 1

Seq Scan on datas_part_0000009202 (cost=0.00..169.17 rows=1,317 width=60) (actual time=0.021..0.802 rows=1,317 loops=1)

359. 3.837 3.837 ↑ 1.0 1,359 1

Seq Scan on datas_part_0000009203 (cost=0.00..183.59 rows=1,359 width=60) (actual time=0.016..3.837 rows=1,359 loops=1)

360. 0.786 0.786 ↑ 1.0 1,373 1

Seq Scan on datas_part_0000009204 (cost=0.00..186.73 rows=1,373 width=60) (actual time=0.034..0.786 rows=1,373 loops=1)

361. 0.849 0.849 ↓ 1.0 1,350 1

Seq Scan on datas_part_0000009205 (cost=0.00..193.46 rows=1,346 width=60) (actual time=0.037..0.849 rows=1,350 loops=1)

362. 0.892 0.892 ↓ 1.0 1,371 1

Seq Scan on datas_part_0000009207 (cost=0.00..181.69 rows=1,369 width=60) (actual time=0.022..0.892 rows=1,371 loops=1)

363. 0.998 0.998 ↑ 1.0 1,361 1

Seq Scan on datas_part_0000009208 (cost=0.00..202.61 rows=1,361 width=60) (actual time=0.023..0.998 rows=1,361 loops=1)

364. 0.841 0.841 ↑ 1.0 1,272 1

Seq Scan on datas_part_0000009209 (cost=0.00..167.72 rows=1,272 width=60) (actual time=0.021..0.841 rows=1,272 loops=1)

365. 1.005 1.005 ↑ 1.0 1,370 1

Seq Scan on datas_part_0000009210 (cost=0.00..187.70 rows=1,370 width=60) (actual time=0.094..1.005 rows=1,370 loops=1)

366. 0.821 0.821 ↑ 1.0 1,368 1

Seq Scan on datas_part_0000009211 (cost=0.00..164.68 rows=1,368 width=60) (actual time=0.022..0.821 rows=1,368 loops=1)

367. 0.801 0.801 ↑ 1.0 1,329 1

Seq Scan on datas_part_0000009212 (cost=0.00..170.29 rows=1,329 width=60) (actual time=0.032..0.801 rows=1,329 loops=1)

368. 0.892 0.892 ↓ 1.0 1,342 1

Seq Scan on datas_part_0000009213 (cost=0.00..183.31 rows=1,331 width=60) (actual time=0.045..0.892 rows=1,342 loops=1)

369. 0.817 0.817 ↓ 1.0 1,317 1

Seq Scan on datas_part_0000009214 (cost=0.00..172.09 rows=1,309 width=60) (actual time=0.046..0.817 rows=1,317 loops=1)

370. 0.896 0.896 ↓ 1.0 1,312 1

Seq Scan on datas_part_0000009215 (cost=0.00..175.05 rows=1,305 width=60) (actual time=0.044..0.896 rows=1,312 loops=1)

371. 0.805 0.805 ↓ 1.0 1,281 1

Seq Scan on datas_part_0000009216 (cost=0.00..175.72 rows=1,272 width=60) (actual time=0.042..0.805 rows=1,281 loops=1)

372. 0.794 0.794 ↓ 1.0 1,307 1

Seq Scan on datas_part_0000009217 (cost=0.00..185.96 rows=1,296 width=60) (actual time=0.018..0.794 rows=1,307 loops=1)

373. 0.881 0.881 ↓ 1.0 1,309 1

Seq Scan on datas_part_0000009218 (cost=0.00..172.07 rows=1,307 width=60) (actual time=0.020..0.881 rows=1,309 loops=1)

374. 0.900 0.900 ↓ 1.0 1,334 1

Seq Scan on datas_part_0000009219 (cost=0.00..204.27 rows=1,327 width=60) (actual time=0.021..0.900 rows=1,334 loops=1)

375. 0.948 0.948 ↓ 1.0 1,316 1

Seq Scan on datas_part_0000009220 (cost=0.00..186.05 rows=1,305 width=60) (actual time=0.022..0.948 rows=1,316 loops=1)

376. 8.660 8.660 ↓ 1.0 1,310 1

Seq Scan on datas_part_0000009221 (cost=0.00..200.97 rows=1,297 width=60) (actual time=0.022..8.660 rows=1,310 loops=1)

377. 0.753 0.753 ↓ 1.0 1,239 1

Seq Scan on datas_part_0000009222 (cost=0.00..163.33 rows=1,233 width=60) (actual time=0.017..0.753 rows=1,239 loops=1)

378. 1.465 1.465 ↓ 1.0 1,315 1

Seq Scan on datas_part_0000009223 (cost=0.00..192.03 rows=1,303 width=60) (actual time=0.021..1.465 rows=1,315 loops=1)

379. 0.837 0.837 ↓ 1.0 1,308 1

Seq Scan on datas_part_0000009224 (cost=0.00..180.76 rows=1,276 width=60) (actual time=0.021..0.837 rows=1,308 loops=1)

380. 20.889 20.889 ↑ 1.0 1,302 1

Seq Scan on datas_part_0000009225 (cost=0.00..199.08 rows=1,308 width=60) (actual time=0.022..20.889 rows=1,302 loops=1)

381. 0.774 0.774 ↑ 1.0 1,321 1

Seq Scan on datas_part_0000009226 (cost=0.00..195.31 rows=1,331 width=60) (actual time=0.040..0.774 rows=1,321 loops=1)

382. 0.761 0.761 ↑ 1.0 1,317 1

Seq Scan on datas_part_0000009227 (cost=0.00..175.34 rows=1,334 width=60) (actual time=0.037..0.761 rows=1,317 loops=1)

383. 0.821 0.821 ↑ 1.0 1,287 1

Seq Scan on datas_part_0000009228 (cost=0.00..168.87 rows=1,287 width=60) (actual time=0.040..0.821 rows=1,287 loops=1)

384. 0.848 0.848 ↓ 1.0 1,302 1

Seq Scan on datas_part_0000009229 (cost=0.00..176.93 rows=1,293 width=60) (actual time=0.035..0.848 rows=1,302 loops=1)

385. 14.035 14.035 ↓ 1.0 1,281 1

Seq Scan on datas_part_0000009230 (cost=0.00..165.74 rows=1,274 width=60) (actual time=0.020..14.035 rows=1,281 loops=1)

386. 1.481 1.481 ↑ 1.0 1,316 1

Seq Scan on datas_part_0000009231 (cost=0.00..173.42 rows=1,342 width=60) (actual time=0.022..1.481 rows=1,316 loops=1)

387. 0.393 0.393 ↓ 1.0 629 1

Seq Scan on datas_part_0000009232 (cost=0.00..93.16 rows=616 width=60) (actual time=0.021..0.393 rows=629 loops=1)

388. 0.795 0.795 ↓ 1.0 1,331 1

Seq Scan on datas_part_0000009234 (cost=0.00..185.27 rows=1,327 width=60) (actual time=0.017..0.795 rows=1,331 loops=1)

389. 0.779 0.779 ↓ 1.0 1,323 1

Seq Scan on datas_part_0000009235 (cost=0.00..182.13 rows=1,313 width=60) (actual time=0.020..0.779 rows=1,323 loops=1)

390. 0.833 0.833 ↓ 1.0 1,314 1

Seq Scan on datas_part_0000009236 (cost=0.00..170.06 rows=1,306 width=60) (actual time=0.019..0.833 rows=1,314 loops=1)

391. 12.096 12.096 ↑ 1.0 1,266 1

Seq Scan on datas_part_0000009237 (cost=0.00..170.66 rows=1,266 width=60) (actual time=0.022..12.096 rows=1,266 loops=1)

392. 1.166 1.166 ↓ 1.0 1,307 1

Seq Scan on datas_part_0000009238 (cost=0.00..184.96 rows=1,296 width=60) (actual time=0.023..1.166 rows=1,307 loops=1)

393. 0.799 0.799 ↓ 1.0 1,315 1

Seq Scan on datas_part_0000009239 (cost=0.00..176.06 rows=1,306 width=60) (actual time=0.015..0.799 rows=1,315 loops=1)

394. 0.784 0.784 ↓ 1.0 1,279 1

Seq Scan on datas_part_0000009240 (cost=0.00..174.71 rows=1,271 width=60) (actual time=0.021..0.784 rows=1,279 loops=1)

395. 1.762 1.762 ↓ 1.0 1,295 1

Seq Scan on datas_part_0000009241 (cost=0.00..195.89 rows=1,289 width=60) (actual time=0.019..1.762 rows=1,295 loops=1)

396. 34.819 34.819 ↓ 1.0 1,307 1

Seq Scan on datas_part_0000009242 (cost=0.00..185.97 rows=1,297 width=60) (actual time=0.039..34.819 rows=1,307 loops=1)

397. 0.891 0.891 ↑ 1.0 1,307 1

Seq Scan on datas_part_0000009243 (cost=0.00..189.07 rows=1,307 width=60) (actual time=0.018..0.891 rows=1,307 loops=1)

398. 34.530 34.530 ↓ 1.0 1,325 1

Seq Scan on datas_part_0000009244 (cost=0.00..172.18 rows=1,318 width=60) (actual time=0.023..34.530 rows=1,325 loops=1)

399. 17.521 17.521 ↑ 1.0 1,330 1

Seq Scan on datas_part_0000009245 (cost=0.00..183.43 rows=1,343 width=60) (actual time=0.019..17.521 rows=1,330 loops=1)

400. 0.891 0.891 ↓ 1.0 1,313 1

Seq Scan on datas_part_0000009246 (cost=0.00..193.01 rows=1,301 width=60) (actual time=0.016..0.891 rows=1,313 loops=1)

401. 26.015 26.015 ↓ 1.0 1,321 1

Seq Scan on datas_part_0000009247 (cost=0.00..173.97 rows=1,297 width=60) (actual time=0.037..26.015 rows=1,321 loops=1)

402. 3.222 3.222 ↓ 1.0 1,329 1

Seq Scan on datas_part_0000009248 (cost=0.00..197.87 rows=1,287 width=60) (actual time=0.022..3.222 rows=1,329 loops=1)

403. 0.706 0.706 ↑ 1.0 1,287 1

Seq Scan on datas_part_0000009249 (cost=0.00..178.87 rows=1,287 width=60) (actual time=0.027..0.706 rows=1,287 loops=1)

404. 12.475 12.475 ↓ 1.0 1,297 1

Seq Scan on datas_part_0000009250 (cost=0.00..159.92 rows=1,292 width=60) (actual time=0.039..12.475 rows=1,297 loops=1)

405. 3.240 3.240 ↓ 1.0 1,335 1

Seq Scan on datas_part_0000009251 (cost=0.00..190.26 rows=1,326 width=60) (actual time=0.018..3.240 rows=1,335 loops=1)

406. 0.797 0.797 ↓ 1.0 1,298 1

Seq Scan on datas_part_0000009252 (cost=0.00..184.88 rows=1,288 width=60) (actual time=0.017..0.797 rows=1,298 loops=1)

407. 3.199 3.199 ↓ 1.0 1,328 1

Seq Scan on datas_part_0000009253 (cost=0.00..203.14 rows=1,314 width=60) (actual time=0.022..3.199 rows=1,328 loops=1)

408. 0.786 0.786 ↑ 1.0 1,320 1

Seq Scan on datas_part_0000009254 (cost=0.00..167.29 rows=1,329 width=60) (actual time=0.019..0.786 rows=1,320 loops=1)

409. 7.903 7.903 ↑ 1.0 1,309 1

Seq Scan on datas_part_0000009255 (cost=0.00..175.09 rows=1,309 width=60) (actual time=0.020..7.903 rows=1,309 loops=1)

410. 0.705 0.705 ↑ 1.0 1,322 1

Seq Scan on datas_part_0000009256 (cost=0.00..164.22 rows=1,322 width=60) (actual time=0.035..0.705 rows=1,322 loops=1)

411. 20.759 20.759 ↑ 1.0 1,302 1

Seq Scan on datas_part_0000009257 (cost=0.00..172.02 rows=1,302 width=60) (actual time=0.032..20.759 rows=1,302 loops=1)

412. 0.797 0.797 ↑ 1.0 1,294 1

Seq Scan on datas_part_0000009258 (cost=0.00..180.94 rows=1,294 width=60) (actual time=0.022..0.797 rows=1,294 loops=1)

413. 0.810 0.810 ↑ 1.0 1,294 1

Seq Scan on datas_part_0000009259 (cost=0.00..170.94 rows=1,294 width=60) (actual time=0.021..0.810 rows=1,294 loops=1)

414. 47.587 47.587 ↑ 1.0 1,291 1

Seq Scan on datas_part_0000009260 (cost=0.00..169.91 rows=1,291 width=60) (actual time=0.023..47.587 rows=1,291 loops=1)

415. 12.116 12.116 ↑ 1.0 1,320 1

Seq Scan on datas_part_0000009261 (cost=0.00..192.20 rows=1,320 width=60) (actual time=0.031..12.116 rows=1,320 loops=1)

416. 0.760 0.760 ↓ 1.0 1,221 1

Seq Scan on datas_part_0000009262 (cost=0.00..174.11 rows=1,211 width=60) (actual time=0.018..0.760 rows=1,221 loops=1)

417. 0.829 0.829 ↑ 1.0 1,332 1

Seq Scan on datas_part_0000009263 (cost=0.00..184.32 rows=1,332 width=60) (actual time=0.021..0.829 rows=1,332 loops=1)

418. 0.775 0.775 ↑ 1.0 1,257 1

Seq Scan on datas_part_0000009264 (cost=0.00..177.57 rows=1,257 width=60) (actual time=0.026..0.775 rows=1,257 loops=1)

419. 0.678 0.678 ↓ 1.0 1,105 1

Seq Scan on datas_part_0000009265 (cost=0.00..138.99 rows=1,099 width=60) (actual time=0.020..0.678 rows=1,105 loops=1)

420. 0.758 0.758 ↑ 1.0 1,318 1

Seq Scan on datas_part_0000009266 (cost=0.00..173.18 rows=1,318 width=60) (actual time=0.016..0.758 rows=1,318 loops=1)

421. 2.655 2.655 ↑ 1.0 1,331 1

Seq Scan on datas_part_0000009267 (cost=0.00..164.31 rows=1,331 width=60) (actual time=0.027..2.655 rows=1,331 loops=1)

422. 0.873 0.873 ↑ 1.0 1,321 1

Seq Scan on datas_part_0000009268 (cost=0.00..172.21 rows=1,321 width=60) (actual time=0.022..0.873 rows=1,321 loops=1)

423. 0.808 0.808 ↑ 1.0 1,218 1

Seq Scan on datas_part_0000009269 (cost=0.00..202.18 rows=1,218 width=60) (actual time=0.017..0.808 rows=1,218 loops=1)

424. 0.914 0.914 ↑ 1.0 1,322 1

Seq Scan on datas_part_0000009270 (cost=0.00..189.22 rows=1,322 width=60) (actual time=0.053..0.914 rows=1,322 loops=1)

425. 0.821 0.821 ↑ 1.0 1,325 1

Seq Scan on datas_part_0000009271 (cost=0.00..167.25 rows=1,325 width=60) (actual time=0.019..0.821 rows=1,325 loops=1)

426. 0.895 0.895 ↑ 1.0 1,243 1

Seq Scan on datas_part_0000009272 (cost=0.00..171.43 rows=1,243 width=60) (actual time=0.021..0.895 rows=1,243 loops=1)

427. 0.864 0.864 ↑ 1.0 1,305 1

Seq Scan on datas_part_0000009273 (cost=0.00..159.05 rows=1,305 width=60) (actual time=0.018..0.864 rows=1,305 loops=1)

428. 0.837 0.837 ↑ 1.0 1,323 1

Seq Scan on datas_part_0000009274 (cost=0.00..154.23 rows=1,323 width=60) (actual time=0.019..0.837 rows=1,323 loops=1)

429. 0.825 0.825 ↓ 1.0 1,291 1

Seq Scan on datas_part_0000009275 (cost=0.00..247.66 rows=1,266 width=60) (actual time=0.018..0.825 rows=1,291 loops=1)

430. 0.818 0.818 ↓ 1.0 1,296 1

Seq Scan on datas_part_0000009276 (cost=0.00..228.81 rows=1,281 width=60) (actual time=0.035..0.818 rows=1,296 loops=1)

431. 0.754 0.754 ↑ 1.0 1,337 1

Seq Scan on datas_part_0000009277 (cost=0.00..178.37 rows=1,337 width=60) (actual time=0.018..0.754 rows=1,337 loops=1)

432. 0.908 0.908 ↓ 1.0 1,314 1

Seq Scan on datas_part_0000009278 (cost=0.00..215.01 rows=1,301 width=60) (actual time=0.029..0.908 rows=1,314 loops=1)

433. 0.869 0.869 ↓ 1.0 1,320 1

Seq Scan on datas_part_0000009279 (cost=0.00..243.07 rows=1,307 width=60) (actual time=0.018..0.869 rows=1,320 loops=1)

434. 0.820 0.820 ↑ 1.0 1,253 1

Seq Scan on datas_part_0000009280 (cost=0.00..170.53 rows=1,253 width=60) (actual time=0.017..0.820 rows=1,253 loops=1)

435. 0.840 0.840 ↑ 1.0 1,338 1

Seq Scan on datas_part_0000009281 (cost=0.00..217.38 rows=1,338 width=60) (actual time=0.020..0.840 rows=1,338 loops=1)

436. 0.841 0.841 ↑ 1.0 1,297 1

Seq Scan on datas_part_0000009282 (cost=0.00..169.97 rows=1,297 width=60) (actual time=0.020..0.841 rows=1,297 loops=1)

437. 0.811 0.811 ↑ 1.0 1,231 1

Seq Scan on datas_part_0000009283 (cost=0.00..191.31 rows=1,231 width=60) (actual time=0.020..0.811 rows=1,231 loops=1)

438. 0.761 0.761 ↑ 1.0 1,304 1

Seq Scan on datas_part_0000009284 (cost=0.00..181.04 rows=1,304 width=60) (actual time=0.021..0.761 rows=1,304 loops=1)

439. 0.845 0.845 ↓ 1.0 1,283 1

Seq Scan on datas_part_0000009285 (cost=0.00..198.70 rows=1,270 width=60) (actual time=0.037..0.845 rows=1,283 loops=1)

440. 1.021 1.021 ↓ 1.0 1,353 1

Seq Scan on datas_part_0000009286 (cost=0.00..197.41 rows=1,341 width=60) (actual time=0.017..1.021 rows=1,353 loops=1)

441. 0.805 0.805 ↓ 1.0 1,243 1

Seq Scan on datas_part_0000009287 (cost=0.00..158.39 rows=1,239 width=60) (actual time=0.020..0.805 rows=1,243 loops=1)

442. 0.878 0.878 ↓ 1.0 1,273 1

Seq Scan on datas_part_0000009288 (cost=0.00..185.62 rows=1,262 width=60) (actual time=0.022..0.878 rows=1,273 loops=1)

443. 0.883 0.883 ↓ 1.0 1,286 1

Seq Scan on datas_part_0000009289 (cost=0.00..184.78 rows=1,278 width=60) (actual time=0.019..0.883 rows=1,286 loops=1)

444. 33.829 33.829 ↓ 1.0 1,289 1

Seq Scan on datas_part_0000009291 (cost=0.00..176.80 rows=1,280 width=60) (actual time=0.033..33.829 rows=1,289 loops=1)

445. 0.790 0.790 ↑ 1.0 1,324 1

Seq Scan on datas_part_0000009292 (cost=0.00..172.24 rows=1,324 width=60) (actual time=0.018..0.790 rows=1,324 loops=1)

446. 0.927 0.927 ↑ 1.0 1,272 1

Seq Scan on datas_part_0000009293 (cost=0.00..169.72 rows=1,272 width=60) (actual time=0.021..0.927 rows=1,272 loops=1)

447. 0.862 0.862 ↑ 1.0 1,268 1

Seq Scan on datas_part_0000009294 (cost=0.00..183.73 rows=1,273 width=60) (actual time=0.025..0.862 rows=1,268 loops=1)

448. 6.434 6.434 ↓ 1.0 1,318 1

Seq Scan on datas_part_0000009295 (cost=0.00..186.15 rows=1,315 width=60) (actual time=0.024..6.434 rows=1,318 loops=1)

449. 0.809 0.809 ↓ 1.0 1,295 1

Seq Scan on datas_part_0000009296 (cost=0.00..178.85 rows=1,285 width=60) (actual time=0.016..0.809 rows=1,295 loops=1)

450. 7.462 7.462 ↑ 1.0 1,318 1

Seq Scan on datas_part_0000009297 (cost=0.00..189.22 rows=1,322 width=60) (actual time=0.037..7.462 rows=1,318 loops=1)

451. 0.872 0.872 ↑ 1.0 1,313 1

Seq Scan on datas_part_0000009298 (cost=0.00..182.18 rows=1,318 width=60) (actual time=0.175..0.872 rows=1,313 loops=1)

452. 1.371 1.371 ↓ 1.0 1,312 1

Seq Scan on datas_part_0000009299 (cost=0.00..178.06 rows=1,306 width=60) (actual time=0.032..1.371 rows=1,312 loops=1)

453. 0.776 0.776 ↑ 1.0 1,237 1

Seq Scan on datas_part_0000009300 (cost=0.00..207.37 rows=1,237 width=60) (actual time=0.017..0.776 rows=1,237 loops=1)

454. 0.804 0.804 ↓ 1.0 1,307 1

Seq Scan on datas_part_0000009301 (cost=0.00..165.00 rows=1,300 width=60) (actual time=0.021..0.804 rows=1,307 loops=1)

455. 1.616 1.616 ↓ 1.0 1,308 1

Seq Scan on datas_part_0000009302 (cost=0.00..191.96 rows=1,296 width=60) (actual time=0.022..1.616 rows=1,308 loops=1)

456. 0.939 0.939 ↑ 1.0 1,303 1

Seq Scan on datas_part_0000009303 (cost=0.00..169.06 rows=1,306 width=60) (actual time=0.025..0.939 rows=1,303 loops=1)

457. 0.798 0.798 ↓ 1.0 1,314 1

Seq Scan on datas_part_0000009304 (cost=0.00..188.10 rows=1,310 width=60) (actual time=0.017..0.798 rows=1,314 loops=1)

458. 7.856 7.856 ↓ 1.0 1,308 1

Seq Scan on datas_part_0000009305 (cost=0.00..190.96 rows=1,296 width=60) (actual time=0.018..7.856 rows=1,308 loops=1)

459. 0.847 0.847 ↓ 1.0 1,319 1

Seq Scan on datas_part_0000009306 (cost=0.00..175.10 rows=1,310 width=60) (actual time=0.023..0.847 rows=1,319 loops=1)

460. 0.847 0.847 ↓ 1.0 1,305 1

Seq Scan on datas_part_0000009307 (cost=0.00..189.93 rows=1,293 width=60) (actual time=0.022..0.847 rows=1,305 loops=1)

461. 0.832 0.832 ↓ 1.0 1,311 1

Seq Scan on datas_part_0000009309 (cost=0.00..189.99 rows=1,299 width=60) (actual time=0.017..0.832 rows=1,311 loops=1)

462. 0.847 0.847 ↓ 1.0 1,326 1

Seq Scan on datas_part_0000009310 (cost=0.00..181.18 rows=1,318 width=60) (actual time=0.021..0.847 rows=1,326 loops=1)

463. 0.837 0.837 ↑ 1.0 1,258 1

Seq Scan on datas_part_0000009311 (cost=0.00..188.65 rows=1,265 width=60) (actual time=0.019..0.837 rows=1,258 loops=1)

464. 0.868 0.868 ↓ 1.0 1,320 1

Seq Scan on datas_part_0000009312 (cost=0.00..183.18 rows=1,318 width=60) (actual time=0.017..0.868 rows=1,320 loops=1)

465. 0.897 0.897 ↑ 1.0 1,245 1

Seq Scan on datas_part_0000009313 (cost=0.00..205.45 rows=1,245 width=60) (actual time=0.020..0.897 rows=1,245 loops=1)

466. 0.839 0.839 ↓ 1.0 1,319 1

Seq Scan on datas_part_0000009314 (cost=0.00..180.09 rows=1,309 width=60) (actual time=0.020..0.839 rows=1,319 loops=1)

467. 5.497 5.497 ↓ 1.0 1,329 1

Seq Scan on datas_part_0000009315 (cost=0.00..172.20 rows=1,320 width=60) (actual time=0.019..5.497 rows=1,329 loops=1)

468. 0.813 0.813 ↓ 1.0 1,323 1

Seq Scan on datas_part_0000009316 (cost=0.00..183.13 rows=1,313 width=60) (actual time=0.022..0.813 rows=1,323 loops=1)

469. 0.925 0.925 ↑ 1.0 1,344 1

Seq Scan on datas_part_0000009317 (cost=0.00..197.44 rows=1,344 width=60) (actual time=0.018..0.925 rows=1,344 loops=1)

470. 1.029 1.029 ↓ 1.0 1,356 1

Seq Scan on datas_part_0000009318 (cost=0.00..193.43 rows=1,343 width=60) (actual time=0.020..1.029 rows=1,356 loops=1)

471. 0.876 0.876 ↑ 1.0 1,278 1

Seq Scan on datas_part_0000009319 (cost=0.00..188.78 rows=1,278 width=60) (actual time=0.021..0.876 rows=1,278 loops=1)

472. 0.965 0.965 ↑ 1.0 1,261 1

Seq Scan on datas_part_0000009320 (cost=0.00..174.61 rows=1,261 width=60) (actual time=0.019..0.965 rows=1,261 loops=1)

473. 0.846 0.846 ↑ 1.0 1,289 1

Seq Scan on datas_part_0000009321 (cost=0.00..197.89 rows=1,289 width=60) (actual time=0.017..0.846 rows=1,289 loops=1)

474. 4.759 4.759 ↓ 1.0 1,332 1

Seq Scan on datas_part_0000009322 (cost=0.00..195.22 rows=1,322 width=60) (actual time=0.017..4.759 rows=1,332 loops=1)

475. 2.322 2.322 ↓ 1.0 1,313 1

Seq Scan on datas_part_0000009323 (cost=0.00..197.03 rows=1,303 width=60) (actual time=0.021..2.322 rows=1,313 loops=1)

476. 0.800 0.800 ↓ 1.0 1,283 1

Seq Scan on datas_part_0000009324 (cost=0.00..187.72 rows=1,272 width=60) (actual time=0.018..0.800 rows=1,283 loops=1)

477. 7.486 7.486 ↓ 1.0 1,327 1

Seq Scan on datas_part_0000009325 (cost=0.00..199.14 rows=1,314 width=60) (actual time=0.020..7.486 rows=1,327 loops=1)

478. 2.874 2.874 ↑ 1.1 1,309 1

Seq Scan on datas_part_0000009326 (cost=0.00..227.45 rows=1,445 width=60) (actual time=0.014..2.874 rows=1,309 loops=1)

479. 1.088 1.088 ↓ 1.0 1,278 1

Seq Scan on datas_part_0000009327 (cost=0.00..167.73 rows=1,273 width=60) (actual time=0.022..1.088 rows=1,278 loops=1)

480. 1.890 1.890 ↓ 1.0 1,265 1

Seq Scan on datas_part_0000009328 (cost=0.00..168.64 rows=1,264 width=60) (actual time=0.021..1.890 rows=1,265 loops=1)

481. 0.776 0.776 ↓ 1.0 1,265 1

Seq Scan on datas_part_0000009329 (cost=0.00..172.61 rows=1,261 width=60) (actual time=0.034..0.776 rows=1,265 loops=1)

482. 0.941 0.941 ↑ 1.0 1,304 1

Seq Scan on datas_part_0000009330 (cost=0.00..183.42 rows=1,342 width=60) (actual time=0.044..0.941 rows=1,304 loops=1)

483. 0.933 0.933 ↓ 1.0 1,311 1

Seq Scan on datas_part_0000009331 (cost=0.00..183.70 rows=1,270 width=60) (actual time=0.015..0.933 rows=1,311 loops=1)

484. 12.577 12.577 ↑ 1.0 1,283 1

Seq Scan on datas_part_0000009332 (cost=0.00..176.83 rows=1,283 width=60) (actual time=0.051..12.577 rows=1,283 loops=1)

485. 0.824 0.824 ↑ 1.0 1,258 1

Seq Scan on datas_part_0000009333 (cost=0.00..164.58 rows=1,258 width=60) (actual time=0.019..0.824 rows=1,258 loops=1)

486. 0.978 0.978 ↑ 1.0 1,274 1

Seq Scan on datas_part_0000009334 (cost=0.00..182.87 rows=1,287 width=60) (actual time=0.018..0.978 rows=1,274 loops=1)

487. 0.782 0.782 ↓ 1.0 1,282 1

Seq Scan on datas_part_0000009335 (cost=0.00..165.75 rows=1,275 width=60) (actual time=0.018..0.782 rows=1,282 loops=1)

488. 0.872 0.872 ↑ 1.0 1,206 1

Seq Scan on datas_part_0000009336 (cost=0.00..171.06 rows=1,206 width=60) (actual time=0.021..0.872 rows=1,206 loops=1)

489. 0.794 0.794 ↑ 1.0 1,248 1

Seq Scan on datas_part_0000009337 (cost=0.00..167.49 rows=1,249 width=60) (actual time=0.020..0.794 rows=1,248 loops=1)

490. 1.145 1.145 ↓ 1.0 1,294 1

Seq Scan on datas_part_0000009338 (cost=0.00..177.93 rows=1,293 width=60) (actual time=0.259..1.145 rows=1,294 loops=1)

491. 0.771 0.771 ↑ 1.0 1,266 1

Seq Scan on datas_part_0000009339 (cost=0.00..167.66 rows=1,266 width=60) (actual time=0.019..0.771 rows=1,266 loops=1)

492. 0.811 0.811 ↓ 1.0 1,288 1

Seq Scan on datas_part_0000009340 (cost=0.00..177.78 rows=1,278 width=60) (actual time=0.020..0.811 rows=1,288 loops=1)

493. 1.031 1.031 ↑ 1.0 1,284 1

Seq Scan on datas_part_0000009341 (cost=0.00..165.86 rows=1,286 width=60) (actual time=0.019..1.031 rows=1,284 loops=1)

494. 0.776 0.776 ↓ 1.0 1,297 1

Seq Scan on datas_part_0000009342 (cost=0.00..174.89 rows=1,289 width=60) (actual time=0.017..0.776 rows=1,297 loops=1)

495. 0.776 0.776 ↑ 1.0 1,240 1

Seq Scan on datas_part_0000009343 (cost=0.00..175.40 rows=1,240 width=60) (actual time=0.021..0.776 rows=1,240 loops=1)

496. 0.773 0.773 ↑ 1.0 1,245 1

Seq Scan on datas_part_0000009344 (cost=0.00..179.45 rows=1,245 width=60) (actual time=0.019..0.773 rows=1,245 loops=1)

497. 0.874 0.874 ↓ 1.0 1,314 1

Seq Scan on datas_part_0000009345 (cost=0.00..177.05 rows=1,305 width=60) (actual time=0.021..0.874 rows=1,314 loops=1)

498. 12.618 12.618 ↓ 1.0 1,319 1

Seq Scan on datas_part_0000009346 (cost=0.00..177.10 rows=1,310 width=60) (actual time=0.021..12.618 rows=1,319 loops=1)

499. 1.084 1.084 ↓ 1.0 1,311 1

Seq Scan on datas_part_0000009347 (cost=0.00..175.02 rows=1,302 width=60) (actual time=0.017..1.084 rows=1,311 loops=1)

500. 1.822 1.822 ↓ 1.0 1,310 1

Seq Scan on datas_part_0000009348 (cost=0.00..187.69 rows=1,269 width=60) (actual time=0.019..1.822 rows=1,310 loops=1)

501. 0.792 0.792 ↓ 1.0 1,270 1

Seq Scan on datas_part_0000009349 (cost=0.00..167.64 rows=1,264 width=60) (actual time=0.020..0.792 rows=1,270 loops=1)

502. 0.884 0.884 ↓ 1.0 1,289 1

Seq Scan on datas_part_0000009350 (cost=0.00..174.84 rows=1,284 width=60) (actual time=0.016..0.884 rows=1,289 loops=1)

503. 0.973 0.973 ↑ 1.0 1,306 1

Seq Scan on datas_part_0000009351 (cost=0.00..197.06 rows=1,306 width=60) (actual time=0.016..0.973 rows=1,306 loops=1)

504. 9.552 9.552 ↑ 1.0 1,270 1

Seq Scan on datas_part_0000009352 (cost=0.00..175.70 rows=1,270 width=60) (actual time=0.037..9.552 rows=1,270 loops=1)

505. 0.782 0.782 ↑ 1.0 1,332 1

Seq Scan on datas_part_0000009353 (cost=0.00..163.32 rows=1,332 width=60) (actual time=0.018..0.782 rows=1,332 loops=1)

506. 0.770 0.770 ↑ 1.0 1,267 1

Seq Scan on datas_part_0000009354 (cost=0.00..171.67 rows=1,267 width=60) (actual time=0.020..0.770 rows=1,267 loops=1)

507. 0.580 0.580 ↑ 1.0 882 1

Seq Scan on datas_part_0000009355 (cost=0.00..139.82 rows=882 width=60) (actual time=0.020..0.580 rows=882 loops=1)

508. 0.748 0.748 ↑ 1.0 1,223 1

Seq Scan on datas_part_0000009356 (cost=0.00..166.23 rows=1,223 width=60) (actual time=0.021..0.748 rows=1,223 loops=1)

509. 0.860 0.860 ↑ 1.0 1,270 1

Seq Scan on datas_part_0000009357 (cost=0.00..182.70 rows=1,270 width=60) (actual time=0.020..0.860 rows=1,270 loops=1)

510. 0.884 0.884 ↑ 1.0 1,257 1

Seq Scan on datas_part_0000009358 (cost=0.00..192.57 rows=1,257 width=60) (actual time=0.021..0.884 rows=1,257 loops=1)

511. 2.037 2.037 ↑ 1.0 1,281 1

Seq Scan on datas_part_0000009359 (cost=0.00..175.81 rows=1,281 width=60) (actual time=0.021..2.037 rows=1,281 loops=1)

512. 0.949 0.949 ↑ 1.0 1,286 1

Seq Scan on datas_part_0000009360 (cost=0.00..175.86 rows=1,286 width=60) (actual time=0.038..0.949 rows=1,286 loops=1)

513. 0.761 0.761 ↑ 1.0 1,258 1

Seq Scan on datas_part_0000009361 (cost=0.00..180.58 rows=1,258 width=60) (actual time=0.016..0.761 rows=1,258 loops=1)

514. 0.766 0.766 ↑ 1.0 1,302 1

Seq Scan on datas_part_0000009362 (cost=0.00..163.02 rows=1,302 width=60) (actual time=0.021..0.766 rows=1,302 loops=1)

515. 0.984 0.984 ↑ 1.0 1,284 1

Seq Scan on datas_part_0000009363 (cost=0.00..194.84 rows=1,284 width=60) (actual time=0.021..0.984 rows=1,284 loops=1)

516. 0.873 0.873 ↑ 1.0 1,263 1

Seq Scan on datas_part_0000009364 (cost=0.00..172.63 rows=1,263 width=60) (actual time=0.013..0.873 rows=1,263 loops=1)

517. 0.777 0.777 ↑ 1.0 1,267 1

Seq Scan on datas_part_0000009365 (cost=0.00..155.67 rows=1,267 width=60) (actual time=0.022..0.777 rows=1,267 loops=1)

518. 0.774 0.774 ↑ 1.0 1,263 1

Seq Scan on datas_part_0000009366 (cost=0.00..176.63 rows=1,263 width=60) (actual time=0.016..0.774 rows=1,263 loops=1)

519. 0.887 0.887 ↑ 1.0 1,244 1

Seq Scan on datas_part_0000009367 (cost=0.00..169.44 rows=1,244 width=60) (actual time=0.017..0.887 rows=1,244 loops=1)

520. 0.805 0.805 ↑ 1.0 1,215 1

Seq Scan on datas_part_0000009368 (cost=0.00..170.15 rows=1,215 width=60) (actual time=0.023..0.805 rows=1,215 loops=1)

521. 2.284 2.284 ↑ 1.0 1,279 1

Seq Scan on datas_part_0000009369 (cost=0.00..194.79 rows=1,279 width=60) (actual time=0.020..2.284 rows=1,279 loops=1)

522. 0.847 0.847 ↑ 1.0 1,291 1

Seq Scan on datas_part_0000009370 (cost=0.00..183.91 rows=1,291 width=60) (actual time=0.016..0.847 rows=1,291 loops=1)

523. 0.820 0.820 ↑ 1.0 1,238 1

Seq Scan on datas_part_0000009371 (cost=0.00..174.38 rows=1,238 width=60) (actual time=0.022..0.820 rows=1,238 loops=1)

524. 0.854 0.854 ↑ 1.0 1,279 1

Seq Scan on datas_part_0000009372 (cost=0.00..162.79 rows=1,279 width=60) (actual time=0.023..0.854 rows=1,279 loops=1)

525. 0.839 0.839 ↑ 1.0 1,280 1

Seq Scan on datas_part_0000009373 (cost=0.00..179.80 rows=1,280 width=60) (actual time=0.022..0.839 rows=1,280 loops=1)

526. 1.006 1.006 ↑ 1.0 1,247 1

Seq Scan on datas_part_0000009374 (cost=0.00..180.47 rows=1,247 width=60) (actual time=0.041..1.006 rows=1,247 loops=1)

527. 0.797 0.797 ↑ 1.0 1,281 1

Seq Scan on datas_part_0000009375 (cost=0.00..175.81 rows=1,281 width=60) (actual time=0.042..0.797 rows=1,281 loops=1)

528. 0.838 0.838 ↑ 1.0 1,263 1

Seq Scan on datas_part_0000009376 (cost=0.00..188.63 rows=1,263 width=60) (actual time=0.038..0.838 rows=1,263 loops=1)

529. 5.840 5.840 ↑ 1.0 1,268 1

Seq Scan on datas_part_0000009377 (cost=0.00..193.68 rows=1,268 width=60) (actual time=0.046..5.840 rows=1,268 loops=1)

530. 0.925 0.925 ↑ 1.0 1,269 1

Seq Scan on datas_part_0000009378 (cost=0.00..165.69 rows=1,269 width=60) (actual time=0.043..0.925 rows=1,269 loops=1)

531. 0.853 0.853 ↑ 1.0 1,270 1

Seq Scan on datas_part_0000009379 (cost=0.00..155.70 rows=1,270 width=60) (actual time=0.043..0.853 rows=1,270 loops=1)

532. 4.475 4.475 ↑ 1.0 1,269 1

Seq Scan on datas_part_0000009380 (cost=0.00..171.69 rows=1,269 width=60) (actual time=0.019..4.475 rows=1,269 loops=1)

533. 0.784 0.784 ↑ 1.0 1,249 1

Seq Scan on datas_part_0000009381 (cost=0.00..162.49 rows=1,249 width=60) (actual time=0.022..0.784 rows=1,249 loops=1)

534. 0.794 0.794 ↑ 1.0 1,276 1

Seq Scan on datas_part_0000009382 (cost=0.00..176.76 rows=1,276 width=60) (actual time=0.021..0.794 rows=1,276 loops=1)

535. 0.766 0.766 ↑ 1.0 1,247 1

Seq Scan on datas_part_0000009383 (cost=0.00..179.47 rows=1,247 width=60) (actual time=0.019..0.766 rows=1,247 loops=1)

536. 0.781 0.781 ↑ 1.0 1,279 1

Seq Scan on datas_part_0000009384 (cost=0.00..171.79 rows=1,279 width=60) (actual time=0.020..0.781 rows=1,279 loops=1)

537. 2.638 2.638 ↑ 1.0 1,273 1

Seq Scan on datas_part_0000009385 (cost=0.00..170.73 rows=1,273 width=60) (actual time=0.021..2.638 rows=1,273 loops=1)

538. 0.941 0.941 ↑ 1.0 1,280 1

Seq Scan on datas_part_0000009386 (cost=0.00..175.80 rows=1,280 width=60) (actual time=0.027..0.941 rows=1,280 loops=1)

539. 0.839 0.839 ↑ 1.0 1,269 1

Seq Scan on datas_part_0000009388 (cost=0.00..181.69 rows=1,269 width=60) (actual time=0.018..0.839 rows=1,269 loops=1)

540. 0.948 0.948 ↑ 1.0 1,353 1

Seq Scan on datas_part_0000009395 (cost=0.00..169.53 rows=1,353 width=60) (actual time=0.044..0.948 rows=1,353 loops=1)

541. 0.835 0.835 ↑ 1.0 1,268 1

Seq Scan on datas_part_0000009397 (cost=0.00..161.68 rows=1,268 width=60) (actual time=0.038..0.835 rows=1,268 loops=1)

542. 0.817 0.817 ↑ 1.0 1,320 1

Seq Scan on datas_part_0000009398 (cost=0.00..153.20 rows=1,320 width=60) (actual time=0.026..0.817 rows=1,320 loops=1)

543. 2.374 2.374 ↑ 1.0 1,277 1

Seq Scan on datas_part_0000009399 (cost=0.00..168.77 rows=1,277 width=60) (actual time=0.022..2.374 rows=1,277 loops=1)

544. 0.783 0.783 ↑ 1.0 1,254 1

Seq Scan on datas_part_0000009400 (cost=0.00..162.54 rows=1,254 width=60) (actual time=0.019..0.783 rows=1,254 loops=1)

545. 0.872 0.872 ↑ 1.0 1,250 1

Seq Scan on datas_part_0000009401 (cost=0.00..165.50 rows=1,250 width=60) (actual time=0.020..0.872 rows=1,250 loops=1)

546. 0.792 0.792 ↓ 1.0 1,273 1

Seq Scan on datas_part_0000009402 (cost=0.00..152.69 rows=1,269 width=60) (actual time=0.017..0.792 rows=1,273 loops=1)

547. 0.831 0.831 ↓ 1.0 1,282 1

Seq Scan on datas_part_0000009403 (cost=0.00..178.81 rows=1,281 width=60) (actual time=0.019..0.831 rows=1,282 loops=1)

548. 0.972 0.972 ↓ 1.0 1,328 1

Seq Scan on datas_part_0000009404 (cost=0.00..184.21 rows=1,321 width=60) (actual time=0.019..0.972 rows=1,328 loops=1)

549. 0.778 0.778 ↓ 1.0 1,282 1

Seq Scan on datas_part_0000009405 (cost=0.00..177.81 rows=1,281 width=60) (actual time=0.018..0.778 rows=1,282 loops=1)

550. 0.820 0.820 ↑ 1.1 1,275 1

Seq Scan on datas_part_0000009406 (cost=0.00..182.41 rows=1,441 width=60) (actual time=0.020..0.820 rows=1,275 loops=1)

551. 1.203 1.203 ↑ 1.0 1,248 1

Seq Scan on datas_part_0000009408 (cost=0.00..172.48 rows=1,248 width=60) (actual time=0.019..1.203 rows=1,248 loops=1)

552. 0.868 0.868 ↑ 1.0 1,357 1

Seq Scan on datas_part_0000009409 (cost=0.00..193.57 rows=1,357 width=60) (actual time=0.014..0.868 rows=1,357 loops=1)

553. 0.753 0.753 ↑ 1.0 1,267 1

Seq Scan on datas_part_0000009410 (cost=0.00..172.67 rows=1,267 width=60) (actual time=0.016..0.753 rows=1,267 loops=1)

554. 0.819 0.819 ↓ 1.0 1,309 1

Seq Scan on datas_part_0000009411 (cost=0.00..183.98 rows=1,298 width=60) (actual time=0.021..0.819 rows=1,309 loops=1)

555. 0.928 0.928 ↑ 1.0 1,293 1

Seq Scan on datas_part_0000009412 (cost=0.00..187.93 rows=1,293 width=60) (actual time=0.018..0.928 rows=1,293 loops=1)

556. 0.792 0.792 ↓ 1.0 1,323 1

Seq Scan on datas_part_0000009421 (cost=0.00..189.21 rows=1,321 width=60) (actual time=0.019..0.792 rows=1,323 loops=1)

557. 0.754 0.754 ↑ 1.0 1,269 1

Seq Scan on datas_part_0000009422 (cost=0.00..162.69 rows=1,269 width=60) (actual time=0.018..0.754 rows=1,269 loops=1)

558. 0.946 0.946 ↓ 1.0 1,316 1

Seq Scan on datas_part_0000009423 (cost=0.00..192.04 rows=1,304 width=60) (actual time=0.067..0.946 rows=1,316 loops=1)

559. 0.873 0.873 ↓ 1.0 1,372 1

Seq Scan on datas_part_0000009424 (cost=0.00..183.63 rows=1,363 width=60) (actual time=0.019..0.873 rows=1,372 loops=1)

560. 0.933 0.933 ↓ 1.0 1,364 1

Seq Scan on datas_part_0000009426 (cost=0.00..180.55 rows=1,355 width=60) (actual time=0.020..0.933 rows=1,364 loops=1)

561. 0.823 0.823 ↑ 1.0 1,274 1

Seq Scan on datas_part_0000009427 (cost=0.00..187.74 rows=1,274 width=60) (actual time=0.024..0.823 rows=1,274 loops=1)

562. 0.820 0.820 ↑ 1.0 1,328 1

Seq Scan on datas_part_0000009428 (cost=0.00..179.28 rows=1,328 width=60) (actual time=0.024..0.820 rows=1,328 loops=1)

563. 1.183 1.183 ↑ 1.0 1,254 1

Seq Scan on datas_part_0000009429 (cost=0.00..183.54 rows=1,254 width=60) (actual time=0.017..1.183 rows=1,254 loops=1)

564. 0.822 0.822 ↑ 1.0 1,292 1

Seq Scan on datas_part_0000009431 (cost=0.00..179.92 rows=1,292 width=60) (actual time=0.017..0.822 rows=1,292 loops=1)

565. 0.945 0.945 ↑ 1.0 1,324 1

Seq Scan on datas_part_0000009437 (cost=0.00..190.24 rows=1,324 width=60) (actual time=0.022..0.945 rows=1,324 loops=1)

566. 0.738 0.738 ↑ 1.0 1,233 1

Seq Scan on datas_part_0000009438 (cost=0.00..168.33 rows=1,233 width=60) (actual time=0.018..0.738 rows=1,233 loops=1)

567. 0.918 0.918 ↓ 1.0 1,323 1

Seq Scan on datas_part_0000009439 (cost=0.00..198.10 rows=1,310 width=60) (actual time=0.020..0.918 rows=1,323 loops=1)

568. 0.859 0.859 ↓ 1.0 1,326 1

Seq Scan on datas_part_0000009440 (cost=0.00..187.16 rows=1,316 width=60) (actual time=0.022..0.859 rows=1,326 loops=1)

569. 0.813 0.813 ↑ 1.0 1,245 1

Seq Scan on datas_part_0000009441 (cost=0.00..155.45 rows=1,245 width=60) (actual time=0.024..0.813 rows=1,245 loops=1)

570. 14.539 14.539 ↑ 1.0 1,496 1

Seq Scan on datas_part_0000009442 (cost=0.00..209.37 rows=1,537 width=60) (actual time=0.018..14.539 rows=1,496 loops=1)

571. 0.976 0.976 ↑ 1.0 1,360 1

Seq Scan on datas_part_0000009443 (cost=0.00..179.60 rows=1,360 width=60) (actual time=0.017..0.976 rows=1,360 loops=1)

572. 0.997 0.997 ↓ 1.0 1,322 1

Seq Scan on datas_part_0000009444 (cost=0.00..179.14 rows=1,314 width=60) (actual time=0.023..0.997 rows=1,322 loops=1)

573. 0.827 0.827 ↑ 1.0 1,282 1

Seq Scan on datas_part_0000009448 (cost=0.00..170.82 rows=1,282 width=60) (actual time=0.017..0.827 rows=1,282 loops=1)

574. 0.806 0.806 ↓ 1.0 1,289 1

Seq Scan on datas_part_0000009449 (cost=0.00..164.83 rows=1,283 width=60) (actual time=0.020..0.806 rows=1,289 loops=1)

575. 1.349 1.349 ↑ 1.0 1,333 1

Seq Scan on datas_part_0000009450 (cost=0.00..189.33 rows=1,333 width=60) (actual time=0.020..1.349 rows=1,333 loops=1)

576. 0.864 0.864 ↓ 1.0 1,317 1

Seq Scan on datas_part_0000009451 (cost=0.00..181.07 rows=1,307 width=60) (actual time=0.020..0.864 rows=1,317 loops=1)

577. 0.783 0.783 ↓ 1.0 1,293 1

Seq Scan on datas_part_0000009452 (cost=0.00..174.85 rows=1,285 width=60) (actual time=0.018..0.783 rows=1,293 loops=1)

578. 0.781 0.781 ↑ 1.0 1,245 1

Seq Scan on datas_part_0000009453 (cost=0.00..171.45 rows=1,245 width=60) (actual time=0.018..0.781 rows=1,245 loops=1)

579. 0.809 0.809 ↓ 1.0 1,287 1

Seq Scan on datas_part_0000009454 (cost=0.00..176.79 rows=1,279 width=60) (actual time=0.019..0.809 rows=1,287 loops=1)

580. 0.798 0.798 ↓ 1.0 1,303 1

Seq Scan on datas_part_0000009455 (cost=0.00..198.90 rows=1,290 width=60) (actual time=0.016..0.798 rows=1,303 loops=1)

581. 0.642 0.642 ↑ 1.0 1,042 1

Seq Scan on datas_part_0000009456 (cost=0.00..157.42 rows=1,042 width=60) (actual time=0.019..0.642 rows=1,042 loops=1)

582. 0.800 0.800 ↓ 1.0 1,328 1

Seq Scan on datas_part_0000009457 (cost=0.00..183.24 rows=1,324 width=60) (actual time=0.018..0.800 rows=1,328 loops=1)

583. 0.744 0.744 ↑ 1.0 1,256 1

Seq Scan on datas_part_0000009458 (cost=0.00..155.56 rows=1,256 width=60) (actual time=0.020..0.744 rows=1,256 loops=1)

584. 5.329 5.329 ↑ 1.0 1,308 1

Seq Scan on datas_part_0000009459 (cost=0.00..219.08 rows=1,308 width=60) (actual time=0.020..5.329 rows=1,308 loops=1)

585. 0.670 0.670 ↑ 1.0 1,234 1

Seq Scan on datas_part_0000009460 (cost=0.00..143.34 rows=1,234 width=60) (actual time=0.037..0.670 rows=1,234 loops=1)

586. 14.114 14.114 ↑ 1.0 1,315 1

Seq Scan on datas_part_0000009461 (cost=0.00..165.15 rows=1,315 width=60) (actual time=0.041..14.114 rows=1,315 loops=1)

587. 0.708 0.708 ↑ 1.0 1,311 1

Seq Scan on datas_part_0000009462 (cost=0.00..166.11 rows=1,311 width=60) (actual time=0.015..0.708 rows=1,311 loops=1)

588. 0.756 0.756 ↑ 1.0 1,284 1

Seq Scan on datas_part_0000009463 (cost=0.00..179.84 rows=1,284 width=60) (actual time=0.038..0.756 rows=1,284 loops=1)

589. 1.063 1.063 ↓ 1.0 1,317 1

Seq Scan on datas_part_0000009464 (cost=0.00..180.07 rows=1,307 width=60) (actual time=0.025..1.063 rows=1,317 loops=1)

590. 0.964 0.964 ↓ 1.0 1,329 1

Seq Scan on datas_part_0000009465 (cost=0.00..174.26 rows=1,326 width=60) (actual time=0.022..0.964 rows=1,329 loops=1)

591. 22.088 22.088 ↑ 1.0 1,320 1

Seq Scan on datas_part_0000009466 (cost=0.00..188.20 rows=1,320 width=60) (actual time=0.020..22.088 rows=1,320 loops=1)

592. 0.889 0.889 ↑ 1.0 1,322 1

Seq Scan on datas_part_0000009467 (cost=0.00..171.22 rows=1,322 width=60) (actual time=0.027..0.889 rows=1,322 loops=1)

593. 1.067 1.067 ↑ 1.0 1,321 1

Seq Scan on datas_part_0000009468 (cost=0.00..190.21 rows=1,321 width=60) (actual time=0.037..1.067 rows=1,321 loops=1)

594. 0.797 0.797 ↑ 1.0 1,239 1

Seq Scan on datas_part_0000009469 (cost=0.00..173.39 rows=1,239 width=60) (actual time=0.020..0.797 rows=1,239 loops=1)

595. 0.874 0.874 ↑ 1.0 1,280 1

Seq Scan on datas_part_0000009470 (cost=0.00..189.80 rows=1,280 width=60) (actual time=0.022..0.874 rows=1,280 loops=1)

596. 0.851 0.851 ↑ 1.0 1,276 1

Seq Scan on datas_part_0000009472 (cost=0.00..177.76 rows=1,276 width=60) (actual time=0.018..0.851 rows=1,276 loops=1)

597. 2.833 2.833 ↓ 1.0 1,307 1

Seq Scan on datas_part_0000009473 (cost=0.00..180.97 rows=1,297 width=60) (actual time=0.020..2.833 rows=1,307 loops=1)

598. 0.834 0.834 ↑ 1.0 1,321 1

Seq Scan on datas_part_0000009474 (cost=0.00..188.21 rows=1,321 width=60) (actual time=0.016..0.834 rows=1,321 loops=1)

599. 1.421 1.421 ↑ 1.0 1,311 1

Seq Scan on datas_part_0000009475 (cost=0.00..179.11 rows=1,311 width=60) (actual time=0.019..1.421 rows=1,311 loops=1)

600. 1.001 1.001 ↓ 1.0 1,353 1

Seq Scan on datas_part_0000009476 (cost=0.00..171.49 rows=1,349 width=60) (actual time=0.018..1.001 rows=1,353 loops=1)

601. 0.999 0.999 ↑ 1.0 1,312 1

Seq Scan on datas_part_0000009477 (cost=0.00..181.12 rows=1,312 width=60) (actual time=0.045..0.999 rows=1,312 loops=1)

602. 0.947 0.947 ↑ 1.0 1,332 1

Seq Scan on datas_part_0000009479 (cost=0.00..178.32 rows=1,332 width=60) (actual time=0.036..0.947 rows=1,332 loops=1)

603. 1.068 1.068 ↑ 1.0 1,257 1

Seq Scan on datas_part_0000009480 (cost=0.00..180.57 rows=1,257 width=60) (actual time=0.041..1.068 rows=1,257 loops=1)

604. 2.956 2.956 ↑ 1.0 1,273 1

Seq Scan on datas_part_0000009481 (cost=0.00..157.73 rows=1,273 width=60) (actual time=0.043..2.956 rows=1,273 loops=1)

605. 1.152 1.152 ↑ 1.0 1,325 1

Seq Scan on datas_part_0000009482 (cost=0.00..173.25 rows=1,325 width=60) (actual time=0.017..1.152 rows=1,325 loops=1)

606. 0.860 0.860 ↑ 1.0 1,339 1

Seq Scan on datas_part_0000009483 (cost=0.00..173.39 rows=1,339 width=60) (actual time=0.017..0.860 rows=1,339 loops=1)

607. 1.296 1.296 ↑ 1.0 1,331 1

Seq Scan on datas_part_0000009484 (cost=0.00..179.31 rows=1,331 width=60) (actual time=0.036..1.296 rows=1,331 loops=1)

608. 1.017 1.017 ↑ 1.0 1,320 1

Seq Scan on datas_part_0000009485 (cost=0.00..169.20 rows=1,320 width=60) (actual time=0.059..1.017 rows=1,320 loops=1)

609. 0.991 0.991 ↑ 1.0 561 1

Seq Scan on datas_part_0000009486 (cost=0.00..102.61 rows=561 width=60) (actual time=0.052..0.991 rows=561 loops=1)

610. 1.098 1.098 ↓ 1.0 1,298 1

Seq Scan on datas_part_0000009487 (cost=0.00..185.94 rows=1,294 width=60) (actual time=0.018..1.098 rows=1,298 loops=1)

611. 1.145 1.145 ↓ 1.0 1,298 1

Seq Scan on datas_part_0000009488 (cost=0.00..185.87 rows=1,287 width=60) (actual time=0.037..1.145 rows=1,298 loops=1)

612. 0.862 0.862 ↑ 1.0 1,294 1

Seq Scan on datas_part_0000009489 (cost=0.00..176.94 rows=1,294 width=60) (actual time=0.053..0.862 rows=1,294 loops=1)

613. 1.026 1.026 ↓ 1.0 1,325 1

Seq Scan on datas_part_0000009490 (cost=0.00..196.83 rows=1,283 width=60) (actual time=0.023..1.026 rows=1,325 loops=1)

614. 0.764 0.764 ↑ 1.0 1,268 1

Seq Scan on datas_part_0000009491 (cost=0.00..163.68 rows=1,268 width=60) (actual time=0.024..0.764 rows=1,268 loops=1)

615. 3.563 3.563 ↓ 1.0 1,311 1

Seq Scan on datas_part_0000009492 (cost=0.00..185.10 rows=1,310 width=60) (actual time=0.034..3.563 rows=1,311 loops=1)

616. 0.884 0.884 ↑ 1.0 1,330 1

Seq Scan on datas_part_0000009493 (cost=0.00..174.30 rows=1,330 width=60) (actual time=0.059..0.884 rows=1,330 loops=1)

617. 0.854 0.854 ↑ 1.0 1,338 1

Seq Scan on datas_part_0000009494 (cost=0.00..183.38 rows=1,338 width=60) (actual time=0.020..0.854 rows=1,338 loops=1)

618. 0.859 0.859 ↓ 1.0 1,307 1

Seq Scan on datas_part_0000009495 (cost=0.00..188.95 rows=1,295 width=60) (actual time=0.024..0.859 rows=1,307 loops=1)

619. 0.870 0.870 ↓ 1.0 1,355 1

Seq Scan on datas_part_0000009496 (cost=0.00..199.47 rows=1,347 width=60) (actual time=0.038..0.870 rows=1,355 loops=1)

620. 0.742 0.742 ↑ 1.0 1,312 1

Seq Scan on datas_part_0000009497 (cost=0.00..175.12 rows=1,312 width=60) (actual time=0.028..0.742 rows=1,312 loops=1)

621. 0.822 0.822 ↓ 1.0 1,373 1

Seq Scan on datas_part_0000009498 (cost=0.00..162.70 rows=1,370 width=60) (actual time=0.032..0.822 rows=1,373 loops=1)

622. 0.702 0.702 ↑ 1.0 1,275 1

Seq Scan on datas_part_0000009499 (cost=0.00..149.75 rows=1,275 width=60) (actual time=0.035..0.702 rows=1,275 loops=1)

623. 0.745 0.745 ↑ 1.0 1,341 1

Seq Scan on datas_part_0000009500 (cost=0.00..149.41 rows=1,341 width=60) (actual time=0.035..0.745 rows=1,341 loops=1)

624. 0.919 0.919 ↑ 1.0 1,355 1

Seq Scan on datas_part_0000009501 (cost=0.00..179.55 rows=1,355 width=60) (actual time=0.018..0.919 rows=1,355 loops=1)

625. 0.840 0.840 ↑ 1.0 1,363 1

Seq Scan on datas_part_0000009502 (cost=0.00..191.63 rows=1,363 width=60) (actual time=0.018..0.840 rows=1,363 loops=1)

626. 0.821 0.821 ↑ 1.0 1,326 1

Seq Scan on datas_part_0000009503 (cost=0.00..183.26 rows=1,326 width=60) (actual time=0.019..0.821 rows=1,326 loops=1)

627. 0.825 0.825 ↑ 1.0 1,366 1

Seq Scan on datas_part_0000009504 (cost=0.00..166.66 rows=1,366 width=60) (actual time=0.017..0.825 rows=1,366 loops=1)

628. 0.791 0.791 ↑ 1.0 1,244 1

Seq Scan on datas_part_0000009505 (cost=0.00..166.44 rows=1,244 width=60) (actual time=0.020..0.791 rows=1,244 loops=1)

629. 0.940 0.940 ↑ 1.0 1,329 1

Seq Scan on datas_part_0000009506 (cost=0.00..159.29 rows=1,329 width=60) (actual time=0.019..0.940 rows=1,329 loops=1)

630. 0.895 0.895 ↑ 1.0 1,304 1

Seq Scan on datas_part_0000009507 (cost=0.00..178.04 rows=1,304 width=60) (actual time=0.023..0.895 rows=1,304 loops=1)

631. 0.822 0.822 ↓ 1.0 1,289 1

Seq Scan on datas_part_0000009508 (cost=0.00..177.80 rows=1,280 width=60) (actual time=0.021..0.822 rows=1,289 loops=1)

632. 0.904 0.904 ↑ 1.0 1,340 1

Seq Scan on datas_part_0000009510 (cost=0.00..180.40 rows=1,340 width=60) (actual time=0.022..0.904 rows=1,340 loops=1)

633. 0.763 0.763 ↑ 1.0 1,280 1

Seq Scan on datas_part_0000009511 (cost=0.00..170.80 rows=1,280 width=60) (actual time=0.015..0.763 rows=1,280 loops=1)

634. 0.665 0.665 ↑ 1.0 1,098 1

Seq Scan on datas_part_0000009512 (cost=0.00..151.98 rows=1,098 width=60) (actual time=0.009..0.665 rows=1,098 loops=1)

635. 0.821 0.821 ↑ 1.0 1,286 1

Seq Scan on datas_part_0000009513 (cost=0.00..174.86 rows=1,286 width=60) (actual time=0.009..0.821 rows=1,286 loops=1)

636. 0.780 0.780 ↓ 1.0 1,306 1

Seq Scan on datas_part_0000009514 (cost=0.00..177.96 rows=1,296 width=60) (actual time=0.009..0.780 rows=1,306 loops=1)

637. 0.777 0.777 ↑ 1.0 1,265 1

Seq Scan on datas_part_0000009515 (cost=0.00..177.65 rows=1,265 width=60) (actual time=0.011..0.777 rows=1,265 loops=1)

638. 0.887 0.887 ↑ 1.0 1,247 1

Seq Scan on datas_part_0000009516 (cost=0.00..168.47 rows=1,247 width=60) (actual time=0.010..0.887 rows=1,247 loops=1)

639. 0.844 0.844 ↑ 1.0 1,314 1

Seq Scan on datas_part_0000009517 (cost=0.00..179.14 rows=1,314 width=60) (actual time=0.010..0.844 rows=1,314 loops=1)

640. 0.781 0.781 ↑ 1.0 1,227 1

Seq Scan on datas_part_0000009519 (cost=0.00..156.27 rows=1,227 width=60) (actual time=0.009..0.781 rows=1,227 loops=1)

641. 0.883 0.883 ↓ 1.0 1,369 1

Seq Scan on datas_part_0000009520 (cost=0.00..186.59 rows=1,359 width=60) (actual time=0.008..0.883 rows=1,369 loops=1)

642. 0.813 0.813 ↑ 1.0 1,294 1

Seq Scan on datas_part_0000009521 (cost=0.00..175.94 rows=1,294 width=60) (actual time=0.009..0.813 rows=1,294 loops=1)

643. 2.718 2.718 ↓ 1.0 1,274 1

Seq Scan on datas_part_0000009522 (cost=0.00..163.68 rows=1,268 width=60) (actual time=0.010..2.718 rows=1,274 loops=1)

644. 0.703 0.703 ↓ 1.0 1,230 1

Seq Scan on datas_part_0000009523 (cost=0.00..152.27 rows=1,227 width=60) (actual time=0.009..0.703 rows=1,230 loops=1)

645. 1.215 1.215 ↓ 1.0 1,377 1

Seq Scan on datas_part_0000009524 (cost=0.00..184.76 rows=1,376 width=60) (actual time=0.011..1.215 rows=1,377 loops=1)

646. 0.803 0.803 ↑ 1.0 1,249 1

Seq Scan on datas_part_0000009525 (cost=0.00..174.49 rows=1,249 width=60) (actual time=0.015..0.803 rows=1,249 loops=1)

647. 0.783 0.783 ↓ 1.0 1,268 1

Seq Scan on datas_part_0000009526 (cost=0.00..193.64 rows=1,264 width=60) (actual time=0.014..0.783 rows=1,268 loops=1)

648. 0.931 0.931 ↓ 1.0 1,271 1

Seq Scan on datas_part_0000009527 (cost=0.00..171.64 rows=1,264 width=60) (actual time=0.008..0.931 rows=1,271 loops=1)

649. 0.851 0.851 ↑ 1.0 1,324 1

Seq Scan on datas_part_0000009528 (cost=0.00..184.24 rows=1,324 width=60) (actual time=0.010..0.851 rows=1,324 loops=1)

650. 0.842 0.842 ↑ 1.0 1,356 1

Seq Scan on datas_part_0000009529 (cost=0.00..165.56 rows=1,356 width=60) (actual time=0.009..0.842 rows=1,356 loops=1)

651. 0.819 0.819 ↑ 1.0 1,240 1

Seq Scan on datas_part_0000009530 (cost=0.00..163.40 rows=1,240 width=60) (actual time=0.011..0.819 rows=1,240 loops=1)

652. 0.886 0.886 ↑ 1.0 1,320 1

Seq Scan on datas_part_0000009531 (cost=0.00..176.20 rows=1,320 width=60) (actual time=0.014..0.886 rows=1,320 loops=1)

653. 0.797 0.797 ↑ 1.0 1,310 1

Seq Scan on datas_part_0000009532 (cost=0.00..177.10 rows=1,310 width=60) (actual time=0.012..0.797 rows=1,310 loops=1)

654. 0.748 0.748 ↑ 1.0 1,259 1

Seq Scan on datas_part_0000009533 (cost=0.00..167.59 rows=1,259 width=60) (actual time=0.010..0.748 rows=1,259 loops=1)

655. 0.736 0.736 ↑ 1.0 1,250 1

Seq Scan on datas_part_0000009534 (cost=0.00..156.50 rows=1,250 width=60) (actual time=0.009..0.736 rows=1,250 loops=1)

656. 35.525 35.525 ↑ 1.0 910 1

Seq Scan on datas_part_0000009535 (cost=0.00..128.10 rows=910 width=60) (actual time=0.009..35.525 rows=910 loops=1)

657. 1.642 1.642 ↑ 1.0 1,364 1

Seq Scan on datas_part_0000009536 (cost=0.00..182.64 rows=1,364 width=60) (actual time=0.014..1.642 rows=1,364 loops=1)

658. 0.038 0.038 ↑ 1.0 40 1

Seq Scan on datas_part_default_tab (cost=0.00..2.40 rows=40 width=60) (actual time=0.019..0.038 rows=40 loops=1)

659. 0.025 2.182 ↑ 583.8 48 1

Hash (cost=46,846.43..46,846.43 rows=28,023 width=52) (actual time=2.182..2.182 rows=48 loops=1)

  • Buckets: 32768 Batches: 1 Memory Usage: 261kB
660. 0.222 2.157 ↑ 583.8 48 1

HashAggregate (cost=46,285.97..46,566.20 rows=28,023 width=52) (actual time=1.981..2.157 rows=48 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
661. 0.170 1.935 ↑ 5,838.1 48 1

Append (cost=0.12..42,082.52 rows=280,230 width=52) (actual time=0.138..1.935 rows=48 loops=1)

662. 0.012 0.012 ↓ 0.0 0 1

Index Scan using datas_part_0000008825_idstatustype_idx on datas_part_0000008825 datas_part_0000008825_1 (cost=0.12..58.56 rows=439 width=52) (actual time=0.012..0.012 rows=0 loops=1)

663. 0.004 0.004 ↓ 0.0 0 1

Index Scan using datas_part_0000008826_idstatustype_idx on datas_part_0000008826 datas_part_0000008826_1 (cost=0.12..60.48 rows=437 width=52) (actual time=0.004..0.004 rows=0 loops=1)

664. 0.004 0.004 ↓ 0.0 0 1

Index Scan using datas_part_0000008827_idstatustype_idx on datas_part_0000008827 datas_part_0000008827_1 (cost=0.12..63.87 rows=442 width=52) (actual time=0.004..0.004 rows=0 loops=1)

665. 0.004 0.004 ↓ 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=52) (actual time=0.004..0.004 rows=0 loops=1)

666. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008829_idstatustype_idx on datas_part_0000008829 datas_part_0000008829_1 (cost=0.12..31.43 rows=218 width=52) (actual time=0.003..0.003 rows=0 loops=1)

667. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008830_idstatustype_idx on datas_part_0000008830 datas_part_0000008830_1 (cost=0.12..62.62 rows=442 width=52) (actual time=0.003..0.003 rows=0 loops=1)

668. 0.003 0.003 ↓ 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=52) (actual time=0.003..0.003 rows=0 loops=1)

669. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008832_idstatustype_idx on datas_part_0000008832 datas_part_0000008832_1 (cost=0.12..61.52 rows=434 width=52) (actual time=0.003..0.003 rows=0 loops=1)

670. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008833_idstatustype_idx on datas_part_0000008833 datas_part_0000008833_1 (cost=0.12..65.75 rows=456 width=52) (actual time=0.003..0.003 rows=0 loops=1)

671. 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..67.69 rows=437 width=52) (actual time=0.004..0.004 rows=0 loops=1)

672. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008835_idstatustype_idx on datas_part_0000008835 datas_part_0000008835_1 (cost=0.12..65.64 rows=439 width=52) (actual time=0.003..0.003 rows=0 loops=1)

673. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008836_idstatustype_idx on datas_part_0000008836 datas_part_0000008836_1 (cost=0.12..63.58 rows=438 width=52) (actual time=0.003..0.003 rows=0 loops=1)

674. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008837_idstatustype_idx on datas_part_0000008837 datas_part_0000008837_1 (cost=0.12..58.44 rows=437 width=52) (actual time=0.003..0.003 rows=0 loops=1)

675. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008838_idstatustype_idx on datas_part_0000008838 datas_part_0000008838_1 (cost=0.12..63.71 rows=440 width=52) (actual time=0.003..0.003 rows=0 loops=1)

676. 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..57.52 rows=440 width=52) (actual time=0.003..0.004 rows=0 loops=1)

677. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008840_idstatustype_idx on datas_part_0000008840 datas_part_0000008840_1 (cost=0.12..56.48 rows=435 width=52) (actual time=0.003..0.003 rows=0 loops=1)

678. 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=52) (actual time=0.004..0.004 rows=0 loops=1)

679. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008842_idstatustype_idx on datas_part_0000008842 datas_part_0000008842_1 (cost=0.12..56.39 rows=428 width=52) (actual time=0.003..0.003 rows=0 loops=1)

680. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008843_idstatustype_idx on datas_part_0000008843 datas_part_0000008843_1 (cost=0.12..61.72 rows=437 width=52) (actual time=0.003..0.003 rows=0 loops=1)

681. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008844_idstatustype_idx on datas_part_0000008844 datas_part_0000008844_1 (cost=0.12..64.80 rows=435 width=52) (actual time=0.003..0.003 rows=0 loops=1)

682. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008846_idstatustype_idx on datas_part_0000008846 datas_part_0000008846_1 (cost=0.12..65.60 rows=426 width=52) (actual time=0.003..0.003 rows=0 loops=1)

683. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008847_idstatustype_idx on datas_part_0000008847 datas_part_0000008847_1 (cost=0.12..63.69 rows=439 width=52) (actual time=0.003..0.003 rows=0 loops=1)

684. 0.002 0.002 ↓ 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=52) (actual time=0.002..0.002 rows=0 loops=1)

685. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008849_idstatustype_idx on datas_part_0000008849 datas_part_0000008849_1 (cost=0.12..62.86 rows=449 width=52) (actual time=0.003..0.003 rows=0 loops=1)

686. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008850_idstatustype_idx on datas_part_0000008850 datas_part_0000008850_1 (cost=0.12..66.73 rows=438 width=52) (actual time=0.003..0.003 rows=0 loops=1)

687. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008851_idstatustype_idx on datas_part_0000008851 datas_part_0000008851_1 (cost=0.12..62.05 rows=469 width=52) (actual time=0.003..0.003 rows=0 loops=1)

688. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008853_idstatustype_idx on datas_part_0000008853 datas_part_0000008853_1 (cost=0.12..64.38 rows=434 width=52) (actual time=0.003..0.003 rows=0 loops=1)

689. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008854_idstatustype_idx on datas_part_0000008854 datas_part_0000008854_1 (cost=0.12..64.75 rows=441 width=52) (actual time=0.003..0.003 rows=0 loops=1)

690. 0.003 0.003 ↓ 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=52) (actual time=0.003..0.003 rows=0 loops=1)

691. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008856_idstatustype_idx on datas_part_0000008856 datas_part_0000008856_1 (cost=0.12..57.55 rows=435 width=52) (actual time=0.003..0.003 rows=0 loops=1)

692. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008857_idstatustype_idx on datas_part_0000008857 datas_part_0000008857_1 (cost=0.12..61.60 rows=435 width=52) (actual time=0.003..0.003 rows=0 loops=1)

693. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008858_idstatustype_idx on datas_part_0000008858 datas_part_0000008858_1 (cost=0.12..63.74 rows=438 width=52) (actual time=0.002..0.003 rows=0 loops=1)

694. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008860_idstatustype_idx on datas_part_0000008860 datas_part_0000008860_1 (cost=0.12..62.65 rows=435 width=52) (actual time=0.003..0.003 rows=0 loops=1)

695. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008861_idstatustype_idx on datas_part_0000008861 datas_part_0000008861_1 (cost=0.12..62.64 rows=436 width=52) (actual time=0.003..0.003 rows=0 loops=1)

696. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008863_idstatustype_idx on datas_part_0000008863 datas_part_0000008863_1 (cost=0.12..56.45 rows=424 width=52) (actual time=0.003..0.003 rows=0 loops=1)

697. 0.002 0.002 ↓ 0.0 0 1

Index Scan using datas_part_0000008864_idstatustype_idx on datas_part_0000008864 datas_part_0000008864_1 (cost=0.12..56.53 rows=428 width=52) (actual time=0.002..0.002 rows=0 loops=1)

698. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008865_idstatustype_idx on datas_part_0000008865 datas_part_0000008865_1 (cost=0.12..62.44 rows=430 width=52) (actual time=0.003..0.003 rows=0 loops=1)

699. 0.008 0.008 ↑ 435.0 1 1

Index Scan using datas_part_0000008866_idstatustype_idx on datas_part_0000008866 datas_part_0000008866_1 (cost=0.12..64.04 rows=435 width=52) (actual time=0.007..0.008 rows=1 loops=1)

700. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008867_idstatustype_idx on datas_part_0000008867 datas_part_0000008867_1 (cost=0.12..64.59 rows=421 width=52) (actual time=0.003..0.003 rows=0 loops=1)

701. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008868_idstatustype_idx on datas_part_0000008868 datas_part_0000008868_1 (cost=0.12..62.48 rows=415 width=52) (actual time=0.003..0.003 rows=0 loops=1)

702. 0.002 0.002 ↓ 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=52) (actual time=0.002..0.002 rows=0 loops=1)

703. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008870_idstatustype_idx on datas_part_0000008870 datas_part_0000008870_1 (cost=0.12..65.56 rows=434 width=52) (actual time=0.003..0.003 rows=0 loops=1)

704. 0.003 0.003 ↓ 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=52) (actual time=0.003..0.003 rows=0 loops=1)

705. 0.002 0.002 ↓ 0.0 0 1

Index Scan using datas_part_0000008872_idstatustype_idx on datas_part_0000008872 datas_part_0000008872_1 (cost=0.12..61.66 rows=439 width=52) (actual time=0.002..0.002 rows=0 loops=1)

706. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008873_idstatustype_idx on datas_part_0000008873 datas_part_0000008873_1 (cost=0.12..68.73 rows=433 width=52) (actual time=0.003..0.003 rows=0 loops=1)

707. 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..62.31 rows=434 width=52) (actual time=0.002..0.002 rows=0 loops=1)

708. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008875_idstatustype_idx on datas_part_0000008875 datas_part_0000008875_1 (cost=0.12..59.81 rows=433 width=52) (actual time=0.003..0.003 rows=0 loops=1)

709. 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=52) (actual time=0.002..0.002 rows=0 loops=1)

710. 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=52) (actual time=0.003..0.003 rows=0 loops=1)

711. 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..60.54 rows=431 width=52) (actual time=0.002..0.002 rows=0 loops=1)

712. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008879_idstatustype_idx on datas_part_0000008879 datas_part_0000008879_1 (cost=0.12..67.65 rows=431 width=52) (actual time=0.003..0.003 rows=0 loops=1)

713. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008880_idstatustype_idx on datas_part_0000008880 datas_part_0000008880_1 (cost=0.12..66.84 rows=458 width=52) (actual time=0.003..0.003 rows=0 loops=1)

714. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008881_idstatustype_idx on datas_part_0000008881 datas_part_0000008881_1 (cost=0.12..59.71 rows=463 width=52) (actual time=0.003..0.003 rows=0 loops=1)

715. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008882_idstatustype_idx on datas_part_0000008882 datas_part_0000008882_1 (cost=0.12..63.60 rows=433 width=52) (actual time=0.002..0.003 rows=0 loops=1)

716. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008883_idstatustype_idx on datas_part_0000008883 datas_part_0000008883_1 (cost=0.12..61.58 rows=436 width=52) (actual time=0.003..0.003 rows=0 loops=1)

717. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008884_idstatustype_idx on datas_part_0000008884 datas_part_0000008884_1 (cost=0.12..55.66 rows=437 width=52) (actual time=0.002..0.003 rows=0 loops=1)

718. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008885_idstatustype_idx on datas_part_0000008885 datas_part_0000008885_1 (cost=0.12..58.57 rows=442 width=52) (actual time=0.003..0.003 rows=0 loops=1)

719. 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..56.61 rows=437 width=52) (actual time=0.003..0.003 rows=0 loops=1)

720. 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=52) (actual time=0.002..0.002 rows=0 loops=1)

721. 0.002 0.002 ↓ 0.0 0 1

Index Scan using datas_part_0000008888_idstatustype_idx on datas_part_0000008888 datas_part_0000008888_1 (cost=0.12..62.76 rows=457 width=52) (actual time=0.002..0.002 rows=0 loops=1)

722. 0.002 0.002 ↓ 0.0 0 1

Index Scan using datas_part_0000008889_idstatustype_idx on datas_part_0000008889 datas_part_0000008889_1 (cost=0.12..66.64 rows=438 width=52) (actual time=0.002..0.002 rows=0 loops=1)

723. 0.002 0.002 ↓ 0.0 0 1

Index Scan using datas_part_0000008890_idstatustype_idx on datas_part_0000008890 datas_part_0000008890_1 (cost=0.12..61.04 rows=441 width=52) (actual time=0.002..0.002 rows=0 loops=1)

724. 0.002 0.002 ↓ 0.0 0 1

Index Scan using datas_part_0000008891_idstatustype_idx on datas_part_0000008891 datas_part_0000008891_1 (cost=0.12..62.56 rows=440 width=52) (actual time=0.002..0.002 rows=0 loops=1)

725. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008892_idstatustype_idx on datas_part_0000008892 datas_part_0000008892_1 (cost=0.12..59.78 rows=432 width=52) (actual time=0.003..0.003 rows=0 loops=1)

726. 0.003 0.003 ↓ 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=52) (actual time=0.003..0.003 rows=0 loops=1)

727. 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=52) (actual time=0.002..0.002 rows=0 loops=1)

728. 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..73.62 rows=443 width=52) (actual time=0.003..0.003 rows=0 loops=1)

729. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008896_idstatustype_idx on datas_part_0000008896 datas_part_0000008896_1 (cost=0.12..62.57 rows=442 width=52) (actual time=0.003..0.003 rows=0 loops=1)

730. 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..76.83 rows=423 width=52) (actual time=0.003..0.003 rows=0 loops=1)

731. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008898_idstatustype_idx on datas_part_0000008898 datas_part_0000008898_1 (cost=0.12..76.63 rows=425 width=52) (actual time=0.003..0.003 rows=0 loops=1)

732. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008899_idstatustype_idx on datas_part_0000008899 datas_part_0000008899_1 (cost=0.12..60.67 rows=439 width=52) (actual time=0.003..0.003 rows=0 loops=1)

733. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008900_idstatustype_idx on datas_part_0000008900 datas_part_0000008900_1 (cost=0.12..68.60 rows=413 width=52) (actual time=0.002..0.003 rows=0 loops=1)

734. 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..81.97 rows=439 width=52) (actual time=0.003..0.003 rows=0 loops=1)

735. 0.003 0.003 ↓ 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=52) (actual time=0.003..0.003 rows=0 loops=1)

736. 0.002 0.002 ↓ 0.0 0 1

Index Scan using datas_part_0000008904_idstatustype_idx on datas_part_0000008904 datas_part_0000008904_1 (cost=0.12..81.94 rows=431 width=52) (actual time=0.002..0.002 rows=0 loops=1)

737. 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=52) (actual time=0.003..0.003 rows=0 loops=1)

738. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008906_idstatustype_idx on datas_part_0000008906 datas_part_0000008906_1 (cost=0.12..77.83 rows=421 width=52) (actual time=0.003..0.003 rows=0 loops=1)

739. 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..57.55 rows=440 width=52) (actual time=0.002..0.002 rows=0 loops=1)

740. 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..82.93 rows=430 width=52) (actual time=0.003..0.003 rows=0 loops=1)

741. 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..61.56 rows=437 width=52) (actual time=0.002..0.002 rows=0 loops=1)

742. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008910_idstatustype_idx on datas_part_0000008910 datas_part_0000008910_1 (cost=0.12..61.60 rows=440 width=52) (actual time=0.002..0.003 rows=0 loops=1)

743. 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..60.58 rows=440 width=52) (actual time=0.003..0.003 rows=0 loops=1)

744. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008912_idstatustype_idx on datas_part_0000008912 datas_part_0000008912_1 (cost=0.12..63.75 rows=442 width=52) (actual time=0.003..0.003 rows=0 loops=1)

745. 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=52) (actual time=0.002..0.002 rows=0 loops=1)

746. 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=52) (actual time=0.002..0.002 rows=0 loops=1)

747. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008915_idstatustype_idx on datas_part_0000008915 datas_part_0000008915_1 (cost=0.12..70.61 rows=412 width=52) (actual time=0.002..0.003 rows=0 loops=1)

748. 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..65.63 rows=439 width=52) (actual time=0.002..0.002 rows=0 loops=1)

749. 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=52) (actual time=0.002..0.002 rows=0 loops=1)

750. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008920_idstatustype_idx on datas_part_0000008920 datas_part_0000008920_1 (cost=0.12..62.66 rows=442 width=52) (actual time=0.003..0.003 rows=0 loops=1)

751. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008921_idstatustype_idx on datas_part_0000008921 datas_part_0000008921_1 (cost=0.12..63.66 rows=444 width=52) (actual time=0.003..0.003 rows=0 loops=1)

752. 0.003 0.003 ↓ 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=52) (actual time=0.003..0.003 rows=0 loops=1)

753. 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..66.67 rows=441 width=52) (actual time=0.002..0.002 rows=0 loops=1)

754. 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..68.74 rows=444 width=52) (actual time=0.002..0.002 rows=0 loops=1)

755. 0.003 0.003 ↓ 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=52) (actual time=0.003..0.003 rows=0 loops=1)

756. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008926_idstatustype_idx on datas_part_0000008926 datas_part_0000008926_1 (cost=0.12..60.60 rows=443 width=52) (actual time=0.003..0.003 rows=0 loops=1)

757. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008927_idstatustype_idx on datas_part_0000008927 datas_part_0000008927_1 (cost=0.12..61.86 rows=433 width=52) (actual time=0.002..0.003 rows=0 loops=1)

758. 0.003 0.003 ↓ 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=52) (actual time=0.003..0.003 rows=0 loops=1)

759. 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..65.60 rows=427 width=52) (actual time=0.003..0.003 rows=0 loops=1)

760. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008930_idstatustype_idx on datas_part_0000008930 datas_part_0000008930_1 (cost=0.12..60.62 rows=426 width=52) (actual time=0.003..0.003 rows=0 loops=1)

761. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008931_idstatustype_idx on datas_part_0000008931 datas_part_0000008931_1 (cost=0.12..55.45 rows=431 width=52) (actual time=0.003..0.003 rows=0 loops=1)

762. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008932_idstatustype_idx on datas_part_0000008932 datas_part_0000008932_1 (cost=0.12..61.53 rows=420 width=52) (actual time=0.003..0.003 rows=0 loops=1)

763. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008933_idstatustype_idx on datas_part_0000008933 datas_part_0000008933_1 (cost=0.12..63.89 rows=417 width=52) (actual time=0.003..0.003 rows=0 loops=1)

764. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008934_idstatustype_idx on datas_part_0000008934 datas_part_0000008934_1 (cost=0.12..60.40 rows=412 width=52) (actual time=0.003..0.003 rows=0 loops=1)

765. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008935_idstatustype_idx on datas_part_0000008935 datas_part_0000008935_1 (cost=0.12..65.52 rows=430 width=52) (actual time=0.002..0.003 rows=0 loops=1)

766. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008936_idstatustype_idx on datas_part_0000008936 datas_part_0000008936_1 (cost=0.12..55.92 rows=412 width=52) (actual time=0.003..0.003 rows=0 loops=1)

767. 0.002 0.002 ↓ 0.0 0 1

Index Scan using datas_part_0000008937_idstatustype_idx on datas_part_0000008937 datas_part_0000008937_1 (cost=0.12..65.62 rows=430 width=52) (actual time=0.002..0.002 rows=0 loops=1)

768. 0.002 0.002 ↓ 0.0 0 1

Index Scan using datas_part_0000008938_idstatustype_idx on datas_part_0000008938 datas_part_0000008938_1 (cost=0.12..60.62 rows=428 width=52) (actual time=0.002..0.002 rows=0 loops=1)

769. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008939_idstatustype_idx on datas_part_0000008939 datas_part_0000008939_1 (cost=0.13..83.54 rows=422 width=52) (actual time=0.003..0.003 rows=0 loops=1)

770. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008940_idstatustype_idx on datas_part_0000008940 datas_part_0000008940_1 (cost=0.12..61.45 rows=416 width=52) (actual time=0.003..0.003 rows=0 loops=1)