explain.depesz.com

PostgreSQL's explain analyze made readable

Result: Up3u

Settings
# exclusive inclusive rows x rows loops node
1. 92.297 4,223.917 ↓ 1,504.6 52,662 1

Nested Loop (cost=1.32..18,544.94 rows=35 width=922) (actual time=1,649.814..4,223.917 rows=52,662 loops=1)

  • Join Filter: (accounts.idaccountstate = account_states.idaccountstate)
  • Rows Removed by Join Filter: 157986
2. 13.838 3,920.972 ↓ 1,504.6 52,662 1

Nested Loop (cost=1.32..18,452.95 rows=35 width=826) (actual time=1,647.687..3,920.972 rows=52,662 loops=1)

3. 802.680 3,801.810 ↓ 1,504.6 52,662 1

Nested Loop (cost=1.04..18,442.36 rows=35 width=785) (actual time=1,641.950..3,801.810 rows=52,662 loops=1)

  • Join Filter: (datas_part_0000008825.ideventtype = eventtypes.ideventtype)
  • Rows Removed by Join Filter: 8162610
4. 5.178 5.178 ↑ 1.0 156 1

Seq Scan on eventtypes (cost=0.00..6.56 rows=156 width=39) (actual time=2.906..5.178 rows=156 loops=1)

5. 2,304.804 2,993.952 ↓ 1,170.3 52,662 156

Materialize (cost=1.04..18,330.61 rows=45 width=754) (actual time=0.007..19.192 rows=52,662 loops=156)

6. 68.982 689.148 ↓ 1,170.3 52,662 1

Nested Loop (cost=1.04..18,330.39 rows=45 width=754) (actual time=0.640..689.148 rows=52,662 loops=1)

  • Join Filter: (datas_part_0000008825.idstatustype = statustypes.idstatustype)
  • Rows Removed by Join Filter: 158839
7. 27.359 620.166 ↓ 99.9 52,662 1

Hash Join (cost=1.04..18,195.47 rows=527 width=689) (actual time=0.609..620.166 rows=52,662 loops=1)

  • Hash Cond: (datas_part_0000008825.idreceptionmode = reception_modes.idreceptionmode)
8. 9.993 592.314 ↓ 1.0 52,662 1

Append (cost=0.00..18,053.28 rows=52,655 width=656) (actual time=0.054..592.314 rows=52,662 loops=1)

9. 1.469 1.469 ↑ 1.0 81 1

Seq Scan on datas_part_0000008825 (cost=0.00..30.81 rows=81 width=655) (actual time=0.053..1.469 rows=81 loops=1)

10. 3.931 3.931 ↑ 1.0 81 1

Index Scan using datas_part_0000008826_ideventtype_idx on datas_part_0000008826 (cost=0.14..59.77 rows=81 width=649) (actual time=0.063..3.931 rows=81 loops=1)

11. 0.924 0.924 ↑ 1.0 81 1

Seq Scan on datas_part_0000008827 (cost=0.00..24.81 rows=81 width=656) (actual time=0.036..0.924 rows=81 loops=1)

12. 0.869 0.869 ↑ 1.0 81 1

Seq Scan on datas_part_0000008828 (cost=0.00..23.81 rows=81 width=650) (actual time=0.045..0.869 rows=81 loops=1)

13. 0.835 0.835 ↑ 1.0 81 1

Seq Scan on datas_part_0000008829 (cost=0.00..24.81 rows=81 width=648) (actual time=0.037..0.835 rows=81 loops=1)

14. 0.796 0.796 ↑ 1.0 81 1

Seq Scan on datas_part_0000008830 (cost=0.00..25.81 rows=81 width=656) (actual time=0.038..0.796 rows=81 loops=1)

15. 0.493 0.493 ↑ 1.0 81 1

Seq Scan on datas_part_0000008831 (cost=0.00..21.81 rows=81 width=656) (actual time=0.038..0.493 rows=81 loops=1)

16. 0.472 0.472 ↑ 1.0 81 1

Seq Scan on datas_part_0000008832 (cost=0.00..24.81 rows=81 width=655) (actual time=0.026..0.472 rows=81 loops=1)

17. 1.258 1.258 ↑ 1.0 81 1

Seq Scan on datas_part_0000008833 (cost=0.00..27.81 rows=81 width=656) (actual time=0.027..1.258 rows=81 loops=1)

18. 1.130 1.130 ↑ 1.0 81 1

Seq Scan on datas_part_0000008834 (cost=0.00..29.81 rows=81 width=656) (actual time=0.039..1.130 rows=81 loops=1)

19. 0.790 0.790 ↑ 1.0 81 1

Seq Scan on datas_part_0000008835 (cost=0.00..21.81 rows=81 width=649) (actual time=0.039..0.790 rows=81 loops=1)

20. 0.970 0.970 ↑ 1.0 81 1

Seq Scan on datas_part_0000008836 (cost=0.00..31.81 rows=81 width=649) (actual time=0.045..0.970 rows=81 loops=1)

21. 1.439 1.439 ↑ 1.0 81 1

Seq Scan on datas_part_0000008837 (cost=0.00..30.81 rows=81 width=658) (actual time=0.039..1.439 rows=81 loops=1)

22. 1.214 1.214 ↑ 1.0 81 1

Seq Scan on datas_part_0000008838 (cost=0.00..24.81 rows=81 width=656) (actual time=0.036..1.214 rows=81 loops=1)

23. 0.953 0.953 ↑ 1.0 81 1

Seq Scan on datas_part_0000008839 (cost=0.00..23.81 rows=81 width=655) (actual time=0.036..0.953 rows=81 loops=1)

24. 0.915 0.915 ↑ 1.0 79 1

Seq Scan on datas_part_0000008840 (cost=0.00..24.79 rows=79 width=649) (actual time=0.037..0.915 rows=79 loops=1)

25. 0.934 0.934 ↑ 1.0 79 1

Seq Scan on datas_part_0000008841 (cost=0.00..21.79 rows=79 width=650) (actual time=0.039..0.934 rows=79 loops=1)

26. 1.220 1.220 ↑ 1.0 79 1

Seq Scan on datas_part_0000008842 (cost=0.00..28.79 rows=79 width=650) (actual time=0.036..1.220 rows=79 loops=1)

27. 1.069 1.069 ↑ 1.0 81 1

Seq Scan on datas_part_0000008843 (cost=0.00..25.81 rows=81 width=658) (actual time=0.039..1.069 rows=81 loops=1)

28. 1.108 1.108 ↑ 1.0 83 1

Seq Scan on datas_part_0000008844 (cost=0.00..25.83 rows=83 width=658) (actual time=0.051..1.108 rows=83 loops=1)

29. 1.180 1.180 ↑ 1.0 81 1

Seq Scan on datas_part_0000008846 (cost=0.00..25.81 rows=81 width=656) (actual time=0.038..1.180 rows=81 loops=1)

30. 1.407 1.407 ↑ 1.0 83 1

Seq Scan on datas_part_0000008847 (cost=0.00..32.83 rows=83 width=658) (actual time=0.039..1.407 rows=83 loops=1)

31. 0.478 0.478 ↑ 1.0 81 1

Seq Scan on datas_part_0000008848 (cost=0.00..20.81 rows=81 width=658) (actual time=0.039..0.478 rows=81 loops=1)

32. 0.533 0.533 ↑ 1.0 82 1

Seq Scan on datas_part_0000008849 (cost=0.00..23.82 rows=82 width=662) (actual time=0.027..0.533 rows=82 loops=1)

33. 1.324 1.324 ↑ 1.0 83 1

Seq Scan on datas_part_0000008850 (cost=0.00..29.83 rows=83 width=657) (actual time=0.026..1.324 rows=83 loops=1)

34. 1.213 1.213 ↑ 1.0 83 1

Seq Scan on datas_part_0000008851 (cost=0.00..26.83 rows=83 width=657) (actual time=0.044..1.213 rows=83 loops=1)

35. 0.785 0.785 ↑ 1.0 81 1

Seq Scan on datas_part_0000008853 (cost=0.00..18.81 rows=81 width=656) (actual time=0.036..0.785 rows=81 loops=1)

36. 1.327 1.327 ↑ 1.0 81 1

Seq Scan on datas_part_0000008854 (cost=0.00..30.81 rows=81 width=656) (actual time=0.036..1.327 rows=81 loops=1)

37. 1.383 1.383 ↑ 1.0 83 1

Seq Scan on datas_part_0000008855 (cost=0.00..29.83 rows=83 width=658) (actual time=0.043..1.383 rows=83 loops=1)

38. 1.388 1.388 ↑ 1.0 83 1

Seq Scan on datas_part_0000008856 (cost=0.00..31.83 rows=83 width=656) (actual time=0.037..1.388 rows=83 loops=1)

39. 1.172 1.172 ↑ 1.0 83 1

Seq Scan on datas_part_0000008857 (cost=0.00..25.83 rows=83 width=658) (actual time=0.038..1.172 rows=83 loops=1)

40. 0.987 0.987 ↑ 1.0 83 1

Seq Scan on datas_part_0000008858 (cost=0.00..29.83 rows=83 width=657) (actual time=0.038..0.987 rows=83 loops=1)

41. 1.281 1.281 ↑ 1.0 83 1

Seq Scan on datas_part_0000008860 (cost=0.00..26.83 rows=83 width=655) (actual time=0.040..1.281 rows=83 loops=1)

42. 0.515 0.515 ↑ 1.0 83 1

Seq Scan on datas_part_0000008861 (cost=0.00..23.83 rows=83 width=657) (actual time=0.041..0.515 rows=83 loops=1)

43. 0.812 0.812 ↑ 1.0 81 1

Seq Scan on datas_part_0000008863 (cost=0.00..19.81 rows=81 width=653) (actual time=0.027..0.812 rows=81 loops=1)

44. 5.703 5.703 ↑ 1.0 76 1

Index Scan using datas_part_0000008864_ideventtype_idx on datas_part_0000008864 (cost=0.14..61.01 rows=76 width=657) (actual time=0.399..5.703 rows=76 loops=1)

45. 1.343 1.343 ↑ 1.0 83 1

Seq Scan on datas_part_0000008865 (cost=0.00..29.83 rows=83 width=658) (actual time=0.037..1.343 rows=83 loops=1)

46. 1.075 1.075 ↑ 1.0 83 1

Seq Scan on datas_part_0000008866 (cost=0.00..27.83 rows=83 width=657) (actual time=0.037..1.075 rows=83 loops=1)

47. 0.884 0.884 ↑ 1.0 81 1

Seq Scan on datas_part_0000008867 (cost=0.00..23.81 rows=81 width=658) (actual time=0.036..0.884 rows=81 loops=1)

48. 1.024 1.024 ↑ 1.0 81 1

Seq Scan on datas_part_0000008868 (cost=0.00..26.81 rows=81 width=659) (actual time=0.038..1.024 rows=81 loops=1)

49. 0.961 0.961 ↑ 1.0 83 1

Seq Scan on datas_part_0000008869 (cost=0.00..24.83 rows=83 width=658) (actual time=0.039..0.961 rows=83 loops=1)

50. 0.840 0.840 ↑ 1.0 83 1

Seq Scan on datas_part_0000008870 (cost=0.00..20.83 rows=83 width=656) (actual time=0.039..0.840 rows=83 loops=1)

51. 0.990 0.990 ↑ 1.0 83 1

Seq Scan on datas_part_0000008871 (cost=0.00..24.83 rows=83 width=658) (actual time=0.040..0.990 rows=83 loops=1)

52. 1.314 1.314 ↑ 1.0 83 1

Seq Scan on datas_part_0000008872 (cost=0.00..30.83 rows=83 width=656) (actual time=0.045..1.314 rows=83 loops=1)

53. 0.791 0.791 ↑ 1.0 83 1

Seq Scan on datas_part_0000008873 (cost=0.00..19.83 rows=83 width=657) (actual time=0.039..0.791 rows=83 loops=1)

54. 1.021 1.021 ↑ 1.0 83 1

Seq Scan on datas_part_0000008874 (cost=0.00..27.83 rows=83 width=658) (actual time=0.039..1.021 rows=83 loops=1)

55. 0.853 0.853 ↑ 1.0 83 1

Seq Scan on datas_part_0000008875 (cost=0.00..23.83 rows=83 width=657) (actual time=0.037..0.853 rows=83 loops=1)

56. 0.655 0.655 ↑ 1.0 83 1

Seq Scan on datas_part_0000008876 (cost=0.00..24.83 rows=83 width=657) (actual time=0.037..0.655 rows=83 loops=1)

57. 0.830 0.830 ↑ 1.0 83 1

Seq Scan on datas_part_0000008877 (cost=0.00..23.83 rows=83 width=658) (actual time=0.019..0.830 rows=83 loops=1)

58. 0.425 0.425 ↑ 1.0 83 1

Seq Scan on datas_part_0000008878 (cost=0.00..22.83 rows=83 width=657) (actual time=0.036..0.425 rows=83 loops=1)

59. 0.369 0.369 ↑ 1.0 83 1

Seq Scan on datas_part_0000008879 (cost=0.00..21.83 rows=83 width=658) (actual time=0.041..0.369 rows=83 loops=1)

60. 0.919 0.919 ↑ 1.0 82 1

Seq Scan on datas_part_0000008880 (cost=0.00..27.82 rows=82 width=663) (actual time=0.022..0.919 rows=82 loops=1)

61. 0.836 0.836 ↑ 1.0 82 1

Seq Scan on datas_part_0000008881 (cost=0.00..22.82 rows=82 width=663) (actual time=0.035..0.836 rows=82 loops=1)

62. 0.580 0.580 ↑ 1.0 83 1

Seq Scan on datas_part_0000008882 (cost=0.00..24.83 rows=83 width=656) (actual time=0.036..0.580 rows=83 loops=1)

63. 0.770 0.770 ↑ 1.0 81 1

Seq Scan on datas_part_0000008883 (cost=0.00..23.81 rows=81 width=656) (actual time=0.018..0.770 rows=81 loops=1)

64. 1.288 1.288 ↑ 1.0 81 1

Seq Scan on datas_part_0000008884 (cost=0.00..25.81 rows=81 width=658) (actual time=0.035..1.288 rows=81 loops=1)

65. 0.895 0.895 ↑ 1.0 81 1

Seq Scan on datas_part_0000008885 (cost=0.00..24.81 rows=81 width=654) (actual time=0.035..0.895 rows=81 loops=1)

66. 0.859 0.859 ↑ 1.0 81 1

Seq Scan on datas_part_0000008886 (cost=0.00..25.81 rows=81 width=655) (actual time=0.035..0.859 rows=81 loops=1)

67. 0.855 0.855 ↑ 1.0 81 1

Seq Scan on datas_part_0000008887 (cost=0.00..22.81 rows=81 width=657) (actual time=0.035..0.855 rows=81 loops=1)

68. 1.566 1.566 ↑ 1.0 81 1

Seq Scan on datas_part_0000008888 (cost=0.00..52.81 rows=81 width=656) (actual time=0.040..1.566 rows=81 loops=1)

69. 0.925 0.925 ↑ 1.0 81 1

Seq Scan on datas_part_0000008889 (cost=0.00..22.81 rows=81 width=655) (actual time=0.050..0.925 rows=81 loops=1)

70. 0.570 0.570 ↑ 1.0 81 1

Seq Scan on datas_part_0000008890 (cost=0.00..27.81 rows=81 width=650) (actual time=0.038..0.570 rows=81 loops=1)

71. 0.907 0.907 ↑ 1.0 81 1

Seq Scan on datas_part_0000008891 (cost=0.00..24.81 rows=81 width=656) (actual time=0.022..0.907 rows=81 loops=1)

72. 0.575 0.575 ↑ 1.0 81 1

Seq Scan on datas_part_0000008892 (cost=0.00..26.81 rows=81 width=655) (actual time=0.038..0.575 rows=81 loops=1)

73. 0.451 0.451 ↑ 1.0 81 1

Seq Scan on datas_part_0000008893 (cost=0.00..24.81 rows=81 width=656) (actual time=0.023..0.451 rows=81 loops=1)

74. 1.038 1.038 ↑ 1.0 81 1

Seq Scan on datas_part_0000008894 (cost=0.00..27.81 rows=81 width=656) (actual time=0.019..1.038 rows=81 loops=1)

75. 0.977 0.977 ↑ 1.0 81 1

Seq Scan on datas_part_0000008895 (cost=0.00..22.81 rows=81 width=658) (actual time=0.039..0.977 rows=81 loops=1)

76. 0.715 0.715 ↑ 1.0 81 1

Seq Scan on datas_part_0000008896 (cost=0.00..29.81 rows=81 width=649) (actual time=0.081..0.715 rows=81 loops=1)

77. 0.877 0.877 ↑ 1.0 81 1

Seq Scan on datas_part_0000008897 (cost=0.00..19.81 rows=81 width=656) (actual time=0.021..0.877 rows=81 loops=1)

78. 1.200 1.200 ↑ 1.0 81 1

Seq Scan on datas_part_0000008898 (cost=0.00..24.81 rows=81 width=656) (actual time=0.035..1.200 rows=81 loops=1)

79. 0.962 0.962 ↑ 1.0 81 1

Seq Scan on datas_part_0000008899 (cost=0.00..24.81 rows=81 width=656) (actual time=0.047..0.962 rows=81 loops=1)

80. 3.543 3.543 ↑ 1.0 81 1

Index Scan using datas_part_0000008900_ideventtype_idx on datas_part_0000008900 (cost=0.14..59.66 rows=81 width=655) (actual time=0.199..3.543 rows=81 loops=1)

81. 0.999 0.999 ↑ 1.0 80 1

Seq Scan on datas_part_0000008901 (cost=0.00..25.80 rows=80 width=664) (actual time=0.036..0.999 rows=80 loops=1)

82. 1.106 1.106 ↑ 1.0 81 1

Seq Scan on datas_part_0000008902 (cost=0.00..29.81 rows=81 width=658) (actual time=0.038..1.106 rows=81 loops=1)

83. 0.972 0.972 ↑ 1.0 81 1

Seq Scan on datas_part_0000008904 (cost=0.00..25.81 rows=81 width=658) (actual time=0.043..0.972 rows=81 loops=1)

84. 0.714 0.714 ↑ 1.0 81 1

Seq Scan on datas_part_0000008905 (cost=0.00..17.81 rows=81 width=656) (actual time=0.037..0.714 rows=81 loops=1)

85. 1.260 1.260 ↑ 1.0 81 1

Seq Scan on datas_part_0000008906 (cost=0.00..28.81 rows=81 width=658) (actual time=0.036..1.260 rows=81 loops=1)

86. 0.860 0.860 ↑ 1.0 81 1

Seq Scan on datas_part_0000008907 (cost=0.00..24.81 rows=81 width=656) (actual time=0.035..0.860 rows=81 loops=1)

87. 1.073 1.073 ↑ 1.0 81 1

Seq Scan on datas_part_0000008908 (cost=0.00..26.81 rows=81 width=658) (actual time=0.037..1.073 rows=81 loops=1)

88. 1.217 1.217 ↑ 1.0 81 1

Seq Scan on datas_part_0000008909 (cost=0.00..29.81 rows=81 width=648) (actual time=0.036..1.217 rows=81 loops=1)

89. 0.749 0.749 ↑ 1.0 81 1

Seq Scan on datas_part_0000008910 (cost=0.00..19.81 rows=81 width=656) (actual time=0.034..0.749 rows=81 loops=1)

90. 1.386 1.386 ↑ 1.0 81 1

Seq Scan on datas_part_0000008911 (cost=0.00..40.81 rows=81 width=658) (actual time=0.036..1.386 rows=81 loops=1)

91. 0.919 0.919 ↑ 1.0 81 1

Seq Scan on datas_part_0000008912 (cost=0.00..25.81 rows=81 width=650) (actual time=0.042..0.919 rows=81 loops=1)

92. 0.493 0.493 ↑ 1.0 81 1

Seq Scan on datas_part_0000008913 (cost=0.00..25.81 rows=81 width=658) (actual time=0.036..0.493 rows=81 loops=1)

93. 1.006 1.006 ↑ 1.0 81 1

Seq Scan on datas_part_0000008914 (cost=0.00..27.81 rows=81 width=656) (actual time=0.021..1.006 rows=81 loops=1)

94. 0.965 0.965 ↑ 1.0 81 1

Seq Scan on datas_part_0000008915 (cost=0.00..24.81 rows=81 width=658) (actual time=0.068..0.965 rows=81 loops=1)

95. 0.882 0.882 ↑ 1.0 81 1

Seq Scan on datas_part_0000008917 (cost=0.00..23.81 rows=81 width=654) (actual time=0.067..0.882 rows=81 loops=1)

96. 0.343 0.343 ↑ 1.0 81 1

Seq Scan on datas_part_0000008919 (cost=0.00..17.81 rows=81 width=649) (actual time=0.035..0.343 rows=81 loops=1)

97. 0.908 0.908 ↑ 1.0 81 1

Seq Scan on datas_part_0000008920 (cost=0.00..25.81 rows=81 width=656) (actual time=0.020..0.908 rows=81 loops=1)

98. 0.942 0.942 ↑ 1.0 81 1

Seq Scan on datas_part_0000008921 (cost=0.00..24.81 rows=81 width=656) (actual time=0.036..0.942 rows=81 loops=1)

99. 1.270 1.270 ↑ 1.0 81 1

Seq Scan on datas_part_0000008922 (cost=0.00..30.81 rows=81 width=658) (actual time=0.040..1.270 rows=81 loops=1)

100. 1.046 1.046 ↑ 1.0 81 1

Seq Scan on datas_part_0000008923 (cost=0.00..27.81 rows=81 width=654) (actual time=0.036..1.046 rows=81 loops=1)

101. 1.048 1.048 ↑ 1.0 81 1

Seq Scan on datas_part_0000008924 (cost=0.00..27.81 rows=81 width=656) (actual time=0.036..1.048 rows=81 loops=1)

102. 1.026 1.026 ↑ 1.0 81 1

Seq Scan on datas_part_0000008925 (cost=0.00..25.81 rows=81 width=658) (actual time=0.036..1.026 rows=81 loops=1)

103. 0.133 0.133 ↓ 1.1 81 1

Seq Scan on datas_part_0000008926 (cost=0.00..8.75 rows=75 width=647) (actual time=0.036..0.133 rows=81 loops=1)

104. 0.672 0.672 ↑ 1.0 81 1

Seq Scan on datas_part_0000008927 (cost=0.00..24.81 rows=81 width=656) (actual time=0.021..0.672 rows=81 loops=1)

105. 0.540 0.540 ↑ 1.0 81 1

Seq Scan on datas_part_0000008928 (cost=0.00..27.81 rows=81 width=659) (actual time=0.025..0.540 rows=81 loops=1)

106. 0.884 0.884 ↑ 1.0 81 1

Seq Scan on datas_part_0000008929 (cost=0.00..23.81 rows=81 width=658) (actual time=0.020..0.884 rows=81 loops=1)

107. 0.714 0.714 ↑ 1.0 81 1

Seq Scan on datas_part_0000008930 (cost=0.00..24.81 rows=81 width=658) (actual time=0.036..0.714 rows=81 loops=1)

108. 0.914 0.914 ↑ 1.0 78 1

Seq Scan on datas_part_0000008931 (cost=0.00..24.78 rows=78 width=660) (actual time=0.029..0.914 rows=78 loops=1)

109. 0.647 0.647 ↑ 1.0 81 1

Seq Scan on datas_part_0000008932 (cost=0.00..26.81 rows=81 width=658) (actual time=0.036..0.647 rows=81 loops=1)

110. 0.637 0.637 ↑ 1.0 78 1

Seq Scan on datas_part_0000008933 (cost=0.00..26.78 rows=78 width=659) (actual time=0.023..0.637 rows=78 loops=1)

111. 0.616 0.616 ↑ 1.0 79 1

Seq Scan on datas_part_0000008934 (cost=0.00..24.79 rows=79 width=656) (actual time=0.017..0.616 rows=79 loops=1)

112. 0.659 0.659 ↑ 1.0 79 1

Seq Scan on datas_part_0000008935 (cost=0.00..22.79 rows=79 width=656) (actual time=0.015..0.659 rows=79 loops=1)

113. 0.934 0.934 ↑ 1.0 78 1

Seq Scan on datas_part_0000008936 (cost=0.00..23.78 rows=78 width=663) (actual time=0.025..0.934 rows=78 loops=1)

114. 1.042 1.042 ↑ 1.0 81 1

Seq Scan on datas_part_0000008937 (cost=0.00..25.81 rows=81 width=659) (actual time=0.035..1.042 rows=81 loops=1)

115. 0.975 0.975 ↑ 1.0 81 1

Seq Scan on datas_part_0000008938 (cost=0.00..24.81 rows=81 width=659) (actual time=0.035..0.975 rows=81 loops=1)

116. 0.810 0.810 ↑ 1.0 79 1

Seq Scan on datas_part_0000008939 (cost=0.00..27.79 rows=79 width=657) (actual time=0.041..0.810 rows=79 loops=1)

117. 0.835 0.835 ↑ 1.0 79 1

Seq Scan on datas_part_0000008940 (cost=0.00..22.79 rows=79 width=656) (actual time=0.021..0.835 rows=79 loops=1)

118. 0.556 0.556 ↑ 1.0 81 1

Seq Scan on datas_part_0000008941 (cost=0.00..22.81 rows=81 width=658) (actual time=0.036..0.556 rows=81 loops=1)

119. 0.891 0.891 ↑ 1.0 79 1

Seq Scan on datas_part_0000008942 (cost=0.00..26.79 rows=79 width=657) (actual time=0.019..0.891 rows=79 loops=1)

120. 0.768 0.768 ↑ 1.0 81 1

Seq Scan on datas_part_0000008943 (cost=0.00..27.81 rows=81 width=659) (actual time=0.036..0.768 rows=81 loops=1)

121. 0.826 0.826 ↑ 1.0 81 1

Seq Scan on datas_part_0000008944 (cost=0.00..32.81 rows=81 width=655) (actual time=0.023..0.826 rows=81 loops=1)

122. 0.656 0.656 ↑ 1.0 80 1

Seq Scan on datas_part_0000008945 (cost=0.00..24.80 rows=80 width=662) (actual time=0.021..0.656 rows=80 loops=1)

123. 1.023 1.023 ↑ 1.0 79 1

Seq Scan on datas_part_0000008946 (cost=0.00..25.79 rows=79 width=656) (actual time=0.015..1.023 rows=79 loops=1)

124. 0.552 0.552 ↑ 1.0 81 1

Seq Scan on datas_part_0000008947 (cost=0.00..26.81 rows=81 width=655) (actual time=0.041..0.552 rows=81 loops=1)

125. 0.830 0.830 ↑ 1.0 79 1

Seq Scan on datas_part_0000008948 (cost=0.00..23.79 rows=79 width=652) (actual time=0.021..0.830 rows=79 loops=1)

126. 1.731 1.731 ↑ 1.0 79 1

Index Scan using datas_part_0000008949_ideventtype_idx on datas_part_0000008949 (cost=0.14..66.00 rows=79 width=655) (actual time=0.257..1.731 rows=79 loops=1)

127. 0.978 0.978 ↑ 1.0 81 1

Seq Scan on datas_part_0000008950 (cost=0.00..24.81 rows=81 width=659) (actual time=0.036..0.978 rows=81 loops=1)

128. 0.637 0.637 ↑ 1.0 81 1

Seq Scan on datas_part_0000008951 (cost=0.00..25.81 rows=81 width=656) (actual time=0.036..0.637 rows=81 loops=1)

129. 1.037 1.037 ↑ 1.0 78 1

Seq Scan on datas_part_0000008952 (cost=0.00..28.78 rows=78 width=664) (actual time=0.021..1.037 rows=78 loops=1)

130. 0.585 0.585 ↑ 1.0 81 1

Seq Scan on datas_part_0000008953 (cost=0.00..23.81 rows=81 width=656) (actual time=0.035..0.585 rows=81 loops=1)

131. 0.511 0.511 ↑ 1.0 79 1

Seq Scan on datas_part_0000008954 (cost=0.00..20.79 rows=79 width=656) (actual time=0.027..0.511 rows=79 loops=1)

132. 0.807 0.807 ↑ 1.0 79 1

Seq Scan on datas_part_0000008955 (cost=0.00..17.79 rows=79 width=655) (actual time=0.020..0.807 rows=79 loops=1)

133. 0.554 0.554 ↑ 1.0 79 1

Seq Scan on datas_part_0000008956 (cost=0.00..22.79 rows=79 width=657) (actual time=0.036..0.554 rows=79 loops=1)

134. 0.612 0.612 ↑ 1.0 81 1

Seq Scan on datas_part_0000008957 (cost=0.00..25.81 rows=81 width=659) (actual time=0.019..0.612 rows=81 loops=1)

135. 1.135 1.135 ↑ 1.0 79 1

Seq Scan on datas_part_0000008958 (cost=0.00..31.79 rows=79 width=655) (actual time=0.017..1.135 rows=79 loops=1)

136. 0.771 0.771 ↑ 1.0 79 1

Seq Scan on datas_part_0000008959 (cost=0.00..28.79 rows=79 width=654) (actual time=0.038..0.771 rows=79 loops=1)

137. 0.647 0.647 ↑ 1.0 83 1

Seq Scan on datas_part_0000008960 (cost=0.00..25.83 rows=83 width=658) (actual time=0.020..0.647 rows=83 loops=1)

138. 0.816 0.816 ↑ 1.0 81 1

Seq Scan on datas_part_0000008961 (cost=0.00..32.81 rows=81 width=656) (actual time=0.019..0.816 rows=81 loops=1)

139. 0.516 0.516 ↑ 1.0 81 1

Seq Scan on datas_part_0000008962 (cost=0.00..22.81 rows=81 width=656) (actual time=0.020..0.516 rows=81 loops=1)

140. 0.553 0.553 ↑ 1.0 81 1

Seq Scan on datas_part_0000008963 (cost=0.00..22.81 rows=81 width=655) (actual time=0.021..0.553 rows=81 loops=1)

141. 0.552 0.552 ↑ 1.0 81 1

Seq Scan on datas_part_0000008964 (cost=0.00..22.81 rows=81 width=658) (actual time=0.016..0.552 rows=81 loops=1)

142. 0.714 0.714 ↑ 1.0 81 1

Seq Scan on datas_part_0000008965 (cost=0.00..28.81 rows=81 width=656) (actual time=0.015..0.714 rows=81 loops=1)

143. 0.885 0.885 ↑ 1.0 81 1

Seq Scan on datas_part_0000008967 (cost=0.00..24.81 rows=81 width=655) (actual time=0.017..0.885 rows=81 loops=1)

144. 0.912 0.912 ↑ 1.0 79 1

Seq Scan on datas_part_0000008968 (cost=0.00..23.79 rows=79 width=655) (actual time=0.035..0.912 rows=79 loops=1)

145. 1.093 1.093 ↑ 1.0 80 1

Seq Scan on datas_part_0000008969 (cost=0.00..47.80 rows=80 width=663) (actual time=0.036..1.093 rows=80 loops=1)

146. 0.557 0.557 ↑ 1.0 79 1

Seq Scan on datas_part_0000008970 (cost=0.00..23.79 rows=79 width=657) (actual time=0.026..0.557 rows=79 loops=1)

147. 1.081 1.081 ↑ 1.0 79 1

Seq Scan on datas_part_0000008971 (cost=0.00..26.79 rows=79 width=655) (actual time=0.016..1.081 rows=79 loops=1)

148. 0.807 0.807 ↑ 1.0 81 1

Seq Scan on datas_part_0000008972 (cost=0.00..30.81 rows=81 width=655) (actual time=0.043..0.807 rows=81 loops=1)

149. 0.548 0.548 ↑ 1.0 80 1

Seq Scan on datas_part_0000008973 (cost=0.00..23.80 rows=80 width=663) (actual time=0.022..0.548 rows=80 loops=1)

150. 0.799 0.799 ↑ 1.0 79 1

Seq Scan on datas_part_0000008974 (cost=0.00..31.79 rows=79 width=655) (actual time=0.017..0.799 rows=79 loops=1)

151. 0.661 0.661 ↑ 1.0 79 1

Seq Scan on datas_part_0000008975 (cost=0.00..25.79 rows=79 width=655) (actual time=0.020..0.661 rows=79 loops=1)

152. 0.553 0.553 ↑ 1.0 79 1

Seq Scan on datas_part_0000008976 (cost=0.00..22.79 rows=79 width=655) (actual time=0.017..0.553 rows=79 loops=1)

153. 0.767 0.767 ↑ 1.0 79 1

Seq Scan on datas_part_0000008977 (cost=0.00..15.79 rows=79 width=657) (actual time=0.014..0.767 rows=79 loops=1)

154. 0.597 0.597 ↑ 1.0 81 1

Seq Scan on datas_part_0000008978 (cost=0.00..24.81 rows=81 width=658) (actual time=0.034..0.597 rows=81 loops=1)

155. 0.629 0.629 ↑ 1.0 79 1

Seq Scan on datas_part_0000008979 (cost=0.00..25.79 rows=79 width=657) (actual time=0.019..0.629 rows=79 loops=1)

156. 0.887 0.887 ↑ 1.0 81 1

Seq Scan on datas_part_0000008980 (cost=0.00..38.81 rows=81 width=656) (actual time=0.022..0.887 rows=81 loops=1)

157. 0.736 0.736 ↑ 1.0 79 1

Seq Scan on datas_part_0000008981 (cost=0.00..27.79 rows=79 width=657) (actual time=0.021..0.736 rows=79 loops=1)

158. 0.683 0.683 ↑ 1.0 80 1

Seq Scan on datas_part_0000008982 (cost=0.00..26.80 rows=80 width=664) (actual time=0.019..0.683 rows=80 loops=1)

159. 0.651 0.651 ↑ 1.0 81 1

Seq Scan on datas_part_0000008983 (cost=0.00..25.81 rows=81 width=655) (actual time=0.017..0.651 rows=81 loops=1)

160. 0.739 0.739 ↑ 1.0 81 1

Seq Scan on datas_part_0000008984 (cost=0.00..29.81 rows=81 width=657) (actual time=0.017..0.739 rows=81 loops=1)

161. 0.574 0.574 ↑ 1.0 79 1

Seq Scan on datas_part_0000008985 (cost=0.00..19.79 rows=79 width=654) (actual time=0.018..0.574 rows=79 loops=1)

162. 1.031 1.031 ↑ 1.0 79 1

Seq Scan on datas_part_0000008986 (cost=0.00..27.79 rows=79 width=657) (actual time=0.025..1.031 rows=79 loops=1)

163. 0.586 0.586 ↑ 1.0 81 1

Seq Scan on datas_part_0000008987 (cost=0.00..22.81 rows=81 width=656) (actual time=0.035..0.586 rows=81 loops=1)

164. 1.148 1.148 ↑ 1.0 81 1

Seq Scan on datas_part_0000008988 (cost=0.00..31.81 rows=81 width=656) (actual time=0.018..1.148 rows=81 loops=1)

165. 0.706 0.706 ↑ 1.0 81 1

Seq Scan on datas_part_0000008989 (cost=0.00..26.81 rows=81 width=655) (actual time=0.041..0.706 rows=81 loops=1)

166. 0.489 0.489 ↑ 1.0 81 1

Seq Scan on datas_part_0000008991 (cost=0.00..22.81 rows=81 width=656) (actual time=0.023..0.489 rows=81 loops=1)

167. 0.814 0.814 ↑ 1.0 79 1

Seq Scan on datas_part_0000008992 (cost=0.00..31.79 rows=79 width=657) (actual time=0.017..0.814 rows=79 loops=1)

168. 0.776 0.776 ↑ 1.0 81 1

Seq Scan on datas_part_0000008993 (cost=0.00..28.81 rows=81 width=658) (actual time=0.017..0.776 rows=81 loops=1)

169. 0.522 0.522 ↑ 1.0 81 1

Seq Scan on datas_part_0000008994 (cost=0.00..22.81 rows=81 width=656) (actual time=0.018..0.522 rows=81 loops=1)

170. 0.791 0.791 ↑ 1.0 81 1

Seq Scan on datas_part_0000008997 (cost=0.00..27.81 rows=81 width=658) (actual time=0.014..0.791 rows=81 loops=1)

171. 0.592 0.592 ↑ 1.0 81 1

Seq Scan on datas_part_0000008998 (cost=0.00..23.81 rows=81 width=658) (actual time=0.025..0.592 rows=81 loops=1)

172. 0.569 0.569 ↑ 1.0 81 1

Seq Scan on datas_part_0000008999 (cost=0.00..23.81 rows=81 width=656) (actual time=0.017..0.569 rows=81 loops=1)

173. 0.591 0.591 ↑ 1.0 81 1

Seq Scan on datas_part_0000009000 (cost=0.00..24.81 rows=81 width=656) (actual time=0.023..0.591 rows=81 loops=1)

174. 0.640 0.640 ↑ 1.0 83 1

Seq Scan on datas_part_0000009001 (cost=0.00..25.83 rows=83 width=658) (actual time=0.017..0.640 rows=83 loops=1)

175. 0.727 0.727 ↑ 1.0 81 1

Seq Scan on datas_part_0000009002 (cost=0.00..29.81 rows=81 width=658) (actual time=0.017..0.727 rows=81 loops=1)

176. 0.757 0.757 ↑ 1.0 81 1

Seq Scan on datas_part_0000009003 (cost=0.00..29.81 rows=81 width=658) (actual time=0.017..0.757 rows=81 loops=1)

177. 0.672 0.672 ↑ 1.0 81 1

Seq Scan on datas_part_0000009004 (cost=0.00..26.81 rows=81 width=656) (actual time=0.017..0.672 rows=81 loops=1)

178. 0.812 0.812 ↑ 1.0 81 1

Seq Scan on datas_part_0000009005 (cost=0.00..31.81 rows=81 width=652) (actual time=0.018..0.812 rows=81 loops=1)

179. 0.950 0.950 ↑ 1.0 81 1

Seq Scan on datas_part_0000009006 (cost=0.00..24.81 rows=81 width=652) (actual time=0.018..0.950 rows=81 loops=1)

180. 1.027 1.027 ↑ 1.0 81 1

Seq Scan on datas_part_0000009007 (cost=0.00..27.81 rows=81 width=658) (actual time=0.036..1.027 rows=81 loops=1)

181. 0.699 0.699 ↑ 1.0 81 1

Seq Scan on datas_part_0000009008 (cost=0.00..24.81 rows=81 width=656) (actual time=0.042..0.699 rows=81 loops=1)

182. 0.817 0.817 ↑ 1.0 81 1

Seq Scan on datas_part_0000009009 (cost=0.00..23.81 rows=81 width=658) (actual time=0.020..0.817 rows=81 loops=1)

183. 0.744 0.744 ↑ 1.0 81 1

Seq Scan on datas_part_0000009010 (cost=0.00..28.81 rows=81 width=655) (actual time=0.036..0.744 rows=81 loops=1)

184. 0.610 0.610 ↑ 1.0 81 1

Seq Scan on datas_part_0000009011 (cost=0.00..24.81 rows=81 width=649) (actual time=0.021..0.610 rows=81 loops=1)

185. 0.578 0.578 ↑ 1.0 80 1

Seq Scan on datas_part_0000009012 (cost=0.00..23.80 rows=80 width=656) (actual time=0.025..0.578 rows=80 loops=1)

186. 0.825 0.825 ↑ 1.0 81 1

Seq Scan on datas_part_0000009013 (cost=0.00..36.81 rows=81 width=658) (actual time=0.020..0.825 rows=81 loops=1)

187. 0.683 0.683 ↑ 1.0 81 1

Seq Scan on datas_part_0000009014 (cost=0.00..26.81 rows=81 width=656) (actual time=0.019..0.683 rows=81 loops=1)

188. 0.865 0.865 ↑ 1.0 81 1

Seq Scan on datas_part_0000009015 (cost=0.00..23.81 rows=81 width=654) (actual time=0.015..0.865 rows=81 loops=1)

189. 2.191 2.191 ↑ 1.0 79 1

Index Scan using datas_part_0000009016_ideventtype_idx on datas_part_0000009016 (cost=0.14..55.04 rows=79 width=656) (actual time=0.226..2.191 rows=79 loops=1)

190. 1.585 1.585 ↑ 1.0 79 1

Index Scan using datas_part_0000009017_ideventtype_idx on datas_part_0000009017 (cost=0.14..59.58 rows=79 width=650) (actual time=0.057..1.585 rows=79 loops=1)

191. 0.786 0.786 ↑ 1.0 81 1

Seq Scan on datas_part_0000009018 (cost=0.00..28.81 rows=81 width=656) (actual time=0.023..0.786 rows=81 loops=1)

192. 0.841 0.841 ↑ 1.0 81 1

Seq Scan on datas_part_0000009019 (cost=0.00..31.81 rows=81 width=658) (actual time=0.021..0.841 rows=81 loops=1)

193. 0.718 0.718 ↑ 1.0 81 1

Seq Scan on datas_part_0000009020 (cost=0.00..26.81 rows=81 width=658) (actual time=0.020..0.718 rows=81 loops=1)

194. 1.235 1.235 ↑ 1.0 81 1

Seq Scan on datas_part_0000009021 (cost=0.00..39.81 rows=81 width=656) (actual time=0.032..1.235 rows=81 loops=1)

195. 1.179 1.179 ↑ 1.0 81 1

Seq Scan on datas_part_0000009022 (cost=0.00..26.81 rows=81 width=655) (actual time=0.047..1.179 rows=81 loops=1)

196. 1.073 1.073 ↑ 1.0 81 1

Seq Scan on datas_part_0000009023 (cost=0.00..24.81 rows=81 width=658) (actual time=0.073..1.073 rows=81 loops=1)

197. 2.586 2.586 ↑ 1.0 81 1

Index Scan using datas_part_0000009024_ideventtype_idx on datas_part_0000009024 (cost=0.14..58.52 rows=81 width=652) (actual time=0.546..2.586 rows=81 loops=1)

198. 1.072 1.072 ↑ 1.0 81 1

Seq Scan on datas_part_0000009025 (cost=0.00..25.81 rows=81 width=656) (actual time=0.059..1.072 rows=81 loops=1)

199. 1.271 1.271 ↑ 1.0 81 1

Seq Scan on datas_part_0000009026 (cost=0.00..27.81 rows=81 width=655) (actual time=0.036..1.271 rows=81 loops=1)

200. 0.759 0.759 ↑ 1.0 81 1

Seq Scan on datas_part_0000009027 (cost=0.00..23.81 rows=81 width=658) (actual time=0.038..0.759 rows=81 loops=1)

201. 0.776 0.776 ↑ 1.0 81 1

Seq Scan on datas_part_0000009028 (cost=0.00..22.81 rows=81 width=658) (actual time=0.031..0.776 rows=81 loops=1)

202. 0.575 0.575 ↑ 1.0 81 1

Seq Scan on datas_part_0000009029 (cost=0.00..23.81 rows=81 width=657) (actual time=0.030..0.575 rows=81 loops=1)

203. 1.460 1.460 ↑ 1.0 81 1

Seq Scan on datas_part_0000009030 (cost=0.00..36.81 rows=81 width=649) (actual time=0.025..1.460 rows=81 loops=1)

204. 1.541 1.541 ↑ 1.0 85 1

Seq Scan on datas_part_0000009031 (cost=0.00..31.85 rows=85 width=658) (actual time=0.041..1.541 rows=85 loops=1)

205. 1.396 1.396 ↑ 1.0 81 1

Seq Scan on datas_part_0000009032 (cost=0.00..27.81 rows=81 width=657) (actual time=0.037..1.396 rows=81 loops=1)

206. 1.219 1.219 ↑ 1.0 83 1

Seq Scan on datas_part_0000009033 (cost=0.00..30.83 rows=83 width=657) (actual time=0.035..1.219 rows=83 loops=1)

207. 1.174 1.174 ↑ 1.0 81 1

Seq Scan on datas_part_0000009034 (cost=0.00..21.81 rows=81 width=658) (actual time=0.036..1.174 rows=81 loops=1)

208. 1.609 1.609 ↑ 1.0 81 1

Seq Scan on datas_part_0000009035 (cost=0.00..36.81 rows=81 width=657) (actual time=0.036..1.609 rows=81 loops=1)

209. 1.267 1.267 ↑ 1.0 81 1

Seq Scan on datas_part_0000009036 (cost=0.00..24.81 rows=81 width=654) (actual time=0.037..1.267 rows=81 loops=1)

210. 1.037 1.037 ↑ 1.0 81 1

Seq Scan on datas_part_0000009037 (cost=0.00..24.81 rows=81 width=656) (actual time=0.048..1.037 rows=81 loops=1)

211. 1.636 1.636 ↑ 1.0 81 1

Seq Scan on datas_part_0000009038 (cost=0.00..42.81 rows=81 width=658) (actual time=0.036..1.636 rows=81 loops=1)

212. 1.471 1.471 ↑ 1.0 81 1

Seq Scan on datas_part_0000009039 (cost=0.00..27.81 rows=81 width=658) (actual time=0.042..1.471 rows=81 loops=1)

213. 1.027 1.027 ↑ 1.0 81 1

Seq Scan on datas_part_0000009040 (cost=0.00..24.81 rows=81 width=656) (actual time=0.035..1.027 rows=81 loops=1)

214. 1.178 1.178 ↑ 1.0 83 1

Seq Scan on datas_part_0000009041 (cost=0.00..27.83 rows=83 width=656) (actual time=0.051..1.178 rows=83 loops=1)

215. 1.610 1.610 ↑ 1.0 81 1

Seq Scan on datas_part_0000009042 (cost=0.00..40.81 rows=81 width=658) (actual time=0.038..1.610 rows=81 loops=1)

216. 1.364 1.364 ↑ 1.0 81 1

Seq Scan on datas_part_0000009043 (cost=0.00..25.81 rows=81 width=658) (actual time=0.039..1.364 rows=81 loops=1)

217. 1.087 1.087 ↑ 1.0 81 1

Seq Scan on datas_part_0000009044 (cost=0.00..23.81 rows=81 width=655) (actual time=0.039..1.087 rows=81 loops=1)

218. 0.797 0.797 ↑ 1.0 81 1

Seq Scan on datas_part_0000009045 (cost=0.00..23.81 rows=81 width=658) (actual time=0.037..0.797 rows=81 loops=1)

219. 1.020 1.020 ↑ 1.0 81 1

Seq Scan on datas_part_0000009046 (cost=0.00..25.81 rows=81 width=655) (actual time=0.037..1.020 rows=81 loops=1)

220. 1.071 1.071 ↑ 1.0 81 1

Seq Scan on datas_part_0000009047 (cost=0.00..24.81 rows=81 width=656) (actual time=0.042..1.071 rows=81 loops=1)

221. 1.022 1.022 ↑ 1.0 81 1

Seq Scan on datas_part_0000009048 (cost=0.00..22.81 rows=81 width=655) (actual time=0.036..1.022 rows=81 loops=1)

222. 0.677 0.677 ↑ 1.0 81 1

Seq Scan on datas_part_0000009049 (cost=0.00..21.81 rows=81 width=649) (actual time=0.036..0.677 rows=81 loops=1)

223. 1.018 1.018 ↑ 1.0 81 1

Seq Scan on datas_part_0000009050 (cost=0.00..25.81 rows=81 width=658) (actual time=0.026..1.018 rows=81 loops=1)

224. 1.031 1.031 ↑ 1.0 81 1

Seq Scan on datas_part_0000009051 (cost=0.00..30.81 rows=81 width=655) (actual time=0.036..1.031 rows=81 loops=1)

225. 0.918 0.918 ↑ 1.0 81 1

Seq Scan on datas_part_0000009052 (cost=0.00..26.81 rows=81 width=657) (actual time=0.035..0.918 rows=81 loops=1)

226. 1.200 1.200 ↑ 1.0 81 1

Seq Scan on datas_part_0000009053 (cost=0.00..32.81 rows=81 width=658) (actual time=0.022..1.200 rows=81 loops=1)

227. 1.644 1.644 ↑ 1.0 81 1

Seq Scan on datas_part_0000009054 (cost=0.00..42.81 rows=81 width=656) (actual time=0.037..1.644 rows=81 loops=1)

228. 1.386 1.386 ↑ 1.0 81 1

Seq Scan on datas_part_0000009056 (cost=0.00..41.81 rows=81 width=649) (actual time=0.044..1.386 rows=81 loops=1)

229. 1.275 1.275 ↑ 1.0 81 1

Seq Scan on datas_part_0000009057 (cost=0.00..23.81 rows=81 width=656) (actual time=0.037..1.275 rows=81 loops=1)

230. 1.239 1.239 ↑ 1.0 81 1

Seq Scan on datas_part_0000009058 (cost=0.00..22.81 rows=81 width=658) (actual time=0.037..1.239 rows=81 loops=1)

231. 1.458 1.458 ↑ 1.0 81 1

Seq Scan on datas_part_0000009059 (cost=0.00..29.81 rows=81 width=655) (actual time=0.037..1.458 rows=81 loops=1)

232. 1.381 1.381 ↑ 1.0 79 1

Seq Scan on datas_part_0000009061 (cost=0.00..28.79 rows=79 width=653) (actual time=0.036..1.381 rows=79 loops=1)

233. 0.928 0.928 ↑ 1.0 81 1

Seq Scan on datas_part_0000009062 (cost=0.00..23.81 rows=81 width=658) (actual time=0.036..0.928 rows=81 loops=1)

234. 1.126 1.126 ↑ 1.0 81 1

Seq Scan on datas_part_0000009063 (cost=0.00..24.81 rows=81 width=656) (actual time=0.037..1.126 rows=81 loops=1)

235. 0.946 0.946 ↑ 1.0 78 1

Seq Scan on datas_part_0000009064 (cost=0.00..28.78 rows=78 width=661) (actual time=0.037..0.946 rows=78 loops=1)

236. 0.919 0.919 ↑ 1.0 79 1

Seq Scan on datas_part_0000009066 (cost=0.00..28.79 rows=79 width=654) (actual time=0.042..0.919 rows=79 loops=1)

237. 0.852 0.852 ↑ 1.0 81 1

Seq Scan on datas_part_0000009067 (cost=0.00..28.81 rows=81 width=658) (actual time=0.022..0.852 rows=81 loops=1)

238. 0.679 0.679 ↑ 1.0 81 1

Seq Scan on datas_part_0000009068 (cost=0.00..25.81 rows=81 width=658) (actual time=0.017..0.679 rows=81 loops=1)

239. 0.567 0.567 ↑ 1.0 79 1

Seq Scan on datas_part_0000009069 (cost=0.00..17.79 rows=79 width=655) (actual time=0.014..0.567 rows=79 loops=1)

240. 1.108 1.108 ↑ 1.0 79 1

Seq Scan on datas_part_0000009070 (cost=0.00..31.79 rows=79 width=654) (actual time=0.013..1.108 rows=79 loops=1)

241. 0.560 0.560 ↑ 1.0 79 1

Seq Scan on datas_part_0000009071 (cost=0.00..26.79 rows=79 width=654) (actual time=0.036..0.560 rows=79 loops=1)

242. 0.613 0.613 ↑ 1.0 79 1

Seq Scan on datas_part_0000009072 (cost=0.00..24.79 rows=79 width=654) (actual time=0.020..0.613 rows=79 loops=1)

243. 1.177 1.177 ↑ 1.0 79 1

Seq Scan on datas_part_0000009073 (cost=0.00..28.79 rows=79 width=655) (actual time=0.016..1.177 rows=79 loops=1)

244. 0.811 0.811 ↑ 1.0 79 1

Seq Scan on datas_part_0000009074 (cost=0.00..24.79 rows=79 width=657) (actual time=0.041..0.811 rows=79 loops=1)

245. 0.947 0.947 ↑ 1.0 81 1

Seq Scan on datas_part_0000009075 (cost=0.00..25.81 rows=81 width=658) (actual time=0.026..0.947 rows=81 loops=1)

246. 1.140 1.140 ↑ 1.0 79 1

Seq Scan on datas_part_0000009076 (cost=0.00..26.79 rows=79 width=653) (actual time=0.036..1.140 rows=79 loops=1)

247. 0.990 0.990 ↑ 1.0 78 1

Seq Scan on datas_part_0000009077 (cost=0.00..24.78 rows=78 width=662) (actual time=0.036..0.990 rows=78 loops=1)

248. 0.977 0.977 ↑ 1.0 79 1

Seq Scan on datas_part_0000009078 (cost=0.00..25.79 rows=79 width=655) (actual time=0.036..0.977 rows=79 loops=1)

249. 1.375 1.375 ↑ 1.0 79 1

Seq Scan on datas_part_0000009079 (cost=0.00..38.79 rows=79 width=654) (actual time=0.037..1.375 rows=79 loops=1)

250. 1.147 1.147 ↑ 1.0 80 1

Seq Scan on datas_part_0000009080 (cost=0.00..27.80 rows=80 width=664) (actual time=0.036..1.147 rows=80 loops=1)

251. 0.724 0.724 ↑ 1.0 81 1

Seq Scan on datas_part_0000009081 (cost=0.00..30.81 rows=81 width=656) (actual time=0.037..0.724 rows=81 loops=1)

252. 1.228 1.228 ↑ 1.0 81 1

Seq Scan on datas_part_0000009082 (cost=0.00..29.81 rows=81 width=655) (actual time=0.025..1.228 rows=81 loops=1)

253. 0.728 0.728 ↑ 1.0 81 1

Seq Scan on datas_part_0000009083 (cost=0.00..24.81 rows=81 width=658) (actual time=0.036..0.728 rows=81 loops=1)

254. 0.570 0.570 ↑ 1.0 79 1

Seq Scan on datas_part_0000009085 (cost=0.00..21.79 rows=79 width=655) (actual time=0.019..0.570 rows=79 loops=1)

255. 0.934 0.934 ↑ 1.0 79 1

Seq Scan on datas_part_0000009087 (cost=0.00..25.79 rows=79 width=654) (actual time=0.015..0.934 rows=79 loops=1)

256. 0.978 0.978 ↑ 1.0 79 1

Seq Scan on datas_part_0000009088 (cost=0.00..29.79 rows=79 width=653) (actual time=0.036..0.978 rows=79 loops=1)

257. 0.702 0.702 ↑ 1.0 77 1

Seq Scan on datas_part_0000009089 (cost=0.00..24.77 rows=77 width=654) (actual time=0.036..0.702 rows=77 loops=1)

258. 0.865 0.865 ↑ 1.0 79 1

Seq Scan on datas_part_0000009090 (cost=0.00..25.79 rows=79 width=656) (actual time=0.036..0.865 rows=79 loops=1)

259. 0.741 0.741 ↑ 1.0 78 1

Seq Scan on datas_part_0000009091 (cost=0.00..20.78 rows=78 width=663) (actual time=0.036..0.741 rows=78 loops=1)

260. 0.640 0.640 ↑ 1.0 77 1

Seq Scan on datas_part_0000009092 (cost=0.00..22.77 rows=77 width=655) (actual time=0.041..0.640 rows=77 loops=1)

261. 0.867 0.867 ↑ 1.0 76 1

Seq Scan on datas_part_0000009093 (cost=0.00..25.76 rows=76 width=662) (actual time=0.027..0.867 rows=76 loops=1)

262. 1.158 1.158 ↑ 1.0 77 1

Seq Scan on datas_part_0000009094 (cost=0.00..43.77 rows=77 width=655) (actual time=0.036..1.158 rows=77 loops=1)

263. 0.622 0.622 ↑ 1.0 77 1

Seq Scan on datas_part_0000009095 (cost=0.00..26.77 rows=77 width=655) (actual time=0.037..0.622 rows=77 loops=1)

264. 1.234 1.234 ↑ 1.0 77 1

Seq Scan on datas_part_0000009096 (cost=0.00..38.77 rows=77 width=653) (actual time=0.022..1.234 rows=77 loops=1)

265. 0.581 0.581 ↑ 1.0 78 1

Seq Scan on datas_part_0000009097 (cost=0.00..16.78 rows=78 width=661) (actual time=0.037..0.581 rows=78 loops=1)

266. 0.916 0.916 ↑ 1.0 81 1

Seq Scan on datas_part_0000009098 (cost=0.00..27.81 rows=81 width=658) (actual time=0.019..0.916 rows=81 loops=1)

267. 1.075 1.075 ↑ 1.0 78 1

Seq Scan on datas_part_0000009099 (cost=0.00..32.78 rows=78 width=661) (actual time=0.034..1.075 rows=78 loops=1)

268. 0.589 0.589 ↑ 1.0 78 1

Seq Scan on datas_part_0000009100 (cost=0.00..16.78 rows=78 width=666) (actual time=0.043..0.589 rows=78 loops=1)

269. 1.124 1.124 ↑ 1.0 78 1

Seq Scan on datas_part_0000009101 (cost=0.00..27.78 rows=78 width=666) (actual time=0.036..1.124 rows=78 loops=1)

270. 0.713 0.713 ↑ 1.0 79 1

Seq Scan on datas_part_0000009102 (cost=0.00..22.79 rows=79 width=657) (actual time=0.035..0.713 rows=79 loops=1)

271. 0.835 0.835 ↑ 1.0 78 1

Seq Scan on datas_part_0000009104 (cost=0.00..24.78 rows=78 width=664) (actual time=0.026..0.835 rows=78 loops=1)

272. 0.913 0.913 ↑ 1.0 77 1

Seq Scan on datas_part_0000009105 (cost=0.00..24.77 rows=77 width=654) (actual time=0.036..0.913 rows=77 loops=1)

273. 0.784 0.784 ↑ 1.0 77 1

Seq Scan on datas_part_0000009106 (cost=0.00..22.77 rows=77 width=655) (actual time=0.036..0.784 rows=77 loops=1)

274. 1.249 1.249 ↑ 1.0 76 1

Seq Scan on datas_part_0000009107 (cost=0.00..30.76 rows=76 width=666) (actual time=0.036..1.249 rows=76 loops=1)

275. 0.906 0.906 ↑ 1.0 77 1

Seq Scan on datas_part_0000009108 (cost=0.00..23.77 rows=77 width=654) (actual time=0.036..0.906 rows=77 loops=1)

276. 0.906 0.906 ↑ 1.0 79 1

Seq Scan on datas_part_0000009109 (cost=0.00..25.79 rows=79 width=656) (actual time=0.040..0.906 rows=79 loops=1)

277. 1.195 1.195 ↑ 1.0 78 1

Seq Scan on datas_part_0000009110 (cost=0.00..31.78 rows=78 width=661) (actual time=0.035..1.195 rows=78 loops=1)

278. 0.629 0.629 ↑ 1.0 79 1

Seq Scan on datas_part_0000009111 (cost=0.00..24.79 rows=79 width=657) (actual time=0.037..0.629 rows=79 loops=1)

279. 0.957 0.957 ↑ 1.0 79 1

Seq Scan on datas_part_0000009112 (cost=0.00..27.79 rows=79 width=655) (actual time=0.022..0.957 rows=79 loops=1)

280. 1.033 1.033 ↑ 1.0 76 1

Seq Scan on datas_part_0000009113 (cost=0.00..23.76 rows=76 width=662) (actual time=0.037..1.033 rows=76 loops=1)

281. 0.619 0.619 ↑ 1.0 76 1

Seq Scan on datas_part_0000009114 (cost=0.00..21.76 rows=76 width=662) (actual time=0.035..0.619 rows=76 loops=1)

282. 0.748 0.748 ↑ 1.0 76 1

Seq Scan on datas_part_0000009115 (cost=0.00..22.76 rows=76 width=662) (actual time=0.016..0.748 rows=76 loops=1)

283. 0.605 0.605 ↑ 1.0 77 1

Seq Scan on datas_part_0000009116 (cost=0.00..24.77 rows=77 width=655) (actual time=0.036..0.605 rows=77 loops=1)

284. 1.132 1.132 ↑ 1.0 76 1

Seq Scan on datas_part_0000009117 (cost=0.00..26.76 rows=76 width=660) (actual time=0.030..1.132 rows=76 loops=1)

285. 0.661 0.661 ↑ 1.0 77 1

Seq Scan on datas_part_0000009118 (cost=0.00..20.77 rows=77 width=654) (actual time=0.037..0.661 rows=77 loops=1)

286. 0.795 0.795 ↑ 1.0 76 1

Seq Scan on datas_part_0000009119 (cost=0.00..23.76 rows=76 width=661) (actual time=0.018..0.795 rows=76 loops=1)

287. 1.149 1.149 ↑ 1.0 79 1

Seq Scan on datas_part_0000009120 (cost=0.00..43.79 rows=79 width=649) (actual time=0.036..1.149 rows=79 loops=1)

288. 1.247 1.247 ↑ 1.0 77 1

Seq Scan on datas_part_0000009121 (cost=0.00..23.77 rows=77 width=655) (actual time=0.037..1.247 rows=77 loops=1)

289. 2.955 2.955 ↑ 1.0 77 1

Index Scan using datas_part_0000009122_ideventtype_idx on datas_part_0000009122 (cost=0.14..62.46 rows=77 width=655) (actual time=0.390..2.955 rows=77 loops=1)

290. 1.135 1.135 ↑ 1.0 77 1

Seq Scan on datas_part_0000009123 (cost=0.00..25.77 rows=77 width=654) (actual time=0.036..1.135 rows=77 loops=1)

291. 0.616 0.616 ↑ 1.0 77 1

Seq Scan on datas_part_0000009124 (cost=0.00..22.77 rows=77 width=654) (actual time=0.041..0.616 rows=77 loops=1)

292. 0.790 0.790 ↑ 1.0 79 1

Seq Scan on datas_part_0000009125 (cost=0.00..23.79 rows=79 width=657) (actual time=0.016..0.790 rows=79 loops=1)

293. 0.881 0.881 ↑ 1.0 77 1

Seq Scan on datas_part_0000009126 (cost=0.00..26.77 rows=77 width=654) (actual time=0.037..0.881 rows=77 loops=1)

294. 0.795 0.795 ↑ 1.0 81 1

Seq Scan on datas_part_0000009127 (cost=0.00..23.81 rows=81 width=650) (actual time=0.036..0.795 rows=81 loops=1)

295. 1.039 1.039 ↑ 1.0 77 1

Seq Scan on datas_part_0000009128 (cost=0.00..24.77 rows=77 width=654) (actual time=0.035..1.039 rows=77 loops=1)

296. 0.703 0.703 ↑ 1.0 79 1

Seq Scan on datas_part_0000009129 (cost=0.00..21.79 rows=79 width=655) (actual time=0.036..0.703 rows=79 loops=1)

297. 0.818 0.818 ↑ 1.0 79 1

Seq Scan on datas_part_0000009130 (cost=0.00..24.79 rows=79 width=655) (actual time=0.016..0.818 rows=79 loops=1)

298. 0.920 0.920 ↑ 1.0 77 1

Seq Scan on datas_part_0000009131 (cost=0.00..26.77 rows=77 width=654) (actual time=0.036..0.920 rows=77 loops=1)

299. 0.786 0.786 ↑ 1.0 81 1

Seq Scan on datas_part_0000009132 (cost=0.00..23.81 rows=81 width=655) (actual time=0.042..0.786 rows=81 loops=1)

300. 0.990 0.990 ↑ 1.0 79 1

Seq Scan on datas_part_0000009133 (cost=0.00..24.79 rows=79 width=653) (actual time=0.038..0.990 rows=79 loops=1)

301. 1.335 1.335 ↑ 1.0 81 1

Seq Scan on datas_part_0000009134 (cost=0.00..50.81 rows=81 width=655) (actual time=0.037..1.335 rows=81 loops=1)

302. 0.907 0.907 ↑ 1.0 78 1

Seq Scan on datas_part_0000009135 (cost=0.00..23.78 rows=78 width=660) (actual time=0.037..0.907 rows=78 loops=1)

303. 0.829 0.829 ↑ 1.0 81 1

Seq Scan on datas_part_0000009136 (cost=0.00..36.81 rows=81 width=655) (actual time=0.036..0.829 rows=81 loops=1)

304. 0.595 0.595 ↑ 1.0 81 1

Seq Scan on datas_part_0000009137 (cost=0.00..23.81 rows=81 width=649) (actual time=0.023..0.595 rows=81 loops=1)

305. 1.141 1.141 ↑ 1.0 81 1

Seq Scan on datas_part_0000009138 (cost=0.00..30.81 rows=81 width=656) (actual time=0.017..1.141 rows=81 loops=1)

306. 1.020 1.020 ↑ 1.0 81 1

Seq Scan on datas_part_0000009139 (cost=0.00..26.81 rows=81 width=656) (actual time=0.036..1.020 rows=81 loops=1)

307. 0.809 0.809 ↑ 1.0 81 1

Seq Scan on datas_part_0000009140 (cost=0.00..24.81 rows=81 width=656) (actual time=0.042..0.809 rows=81 loops=1)

308. 1.121 1.121 ↑ 1.0 81 1

Seq Scan on datas_part_0000009141 (cost=0.00..27.81 rows=81 width=654) (actual time=0.021..1.121 rows=81 loops=1)

309. 0.607 0.607 ↑ 1.0 79 1

Seq Scan on datas_part_0000009142 (cost=0.00..19.79 rows=79 width=648) (actual time=0.035..0.607 rows=79 loops=1)

310. 0.988 0.988 ↑ 1.0 81 1

Seq Scan on datas_part_0000009144 (cost=0.00..27.81 rows=81 width=656) (actual time=0.019..0.988 rows=81 loops=1)

311. 0.620 0.620 ↑ 1.0 79 1

Seq Scan on datas_part_0000009145 (cost=0.00..23.79 rows=79 width=652) (actual time=0.037..0.620 rows=79 loops=1)

312. 0.845 0.845 ↑ 1.0 81 1

Seq Scan on datas_part_0000009146 (cost=0.00..23.81 rows=81 width=655) (actual time=0.017..0.845 rows=81 loops=1)

313. 1.134 1.134 ↑ 1.0 81 1

Seq Scan on datas_part_0000009148 (cost=0.00..24.81 rows=81 width=655) (actual time=0.037..1.134 rows=81 loops=1)

314. 1.233 1.233 ↑ 1.0 81 1

Seq Scan on datas_part_0000009149 (cost=0.00..31.81 rows=81 width=655) (actual time=0.035..1.233 rows=81 loops=1)

315. 0.842 0.842 ↑ 1.0 80 1

Seq Scan on datas_part_0000009150 (cost=0.00..22.80 rows=80 width=654) (actual time=0.042..0.842 rows=80 loops=1)

316. 0.506 0.506 ↑ 1.0 79 1

Seq Scan on datas_part_0000009151 (cost=0.00..8.79 rows=79 width=648) (actual time=0.037..0.506 rows=79 loops=1)

317. 2.794 2.794 ↑ 1.0 81 1

Index Scan using datas_part_0000009152_ideventtype_idx on datas_part_0000009152 (cost=0.14..60.17 rows=81 width=655) (actual time=0.357..2.794 rows=81 loops=1)

318. 0.887 0.887 ↑ 1.0 81 1

Seq Scan on datas_part_0000009153 (cost=0.00..23.81 rows=81 width=655) (actual time=0.036..0.887 rows=81 loops=1)

319. 0.509 0.509 ↑ 1.0 81 1

Seq Scan on datas_part_0000009154 (cost=0.00..25.81 rows=81 width=655) (actual time=0.036..0.509 rows=81 loops=1)

320. 1.144 1.144 ↑ 1.0 81 1

Seq Scan on datas_part_0000009155 (cost=0.00..37.81 rows=81 width=658) (actual time=0.020..1.144 rows=81 loops=1)

321. 0.667 0.667 ↑ 1.0 81 1

Seq Scan on datas_part_0000009156 (cost=0.00..24.81 rows=81 width=656) (actual time=0.037..0.667 rows=81 loops=1)

322. 0.961 0.961 ↑ 1.0 81 1

Seq Scan on datas_part_0000009158 (cost=0.00..24.81 rows=81 width=658) (actual time=0.031..0.961 rows=81 loops=1)

323. 0.828 0.828 ↑ 1.0 79 1

Seq Scan on datas_part_0000009159 (cost=0.00..25.79 rows=79 width=653) (actual time=0.037..0.828 rows=79 loops=1)

324. 0.854 0.854 ↑ 1.0 81 1

Seq Scan on datas_part_0000009160 (cost=0.00..23.81 rows=81 width=658) (actual time=0.037..0.854 rows=81 loops=1)

325. 1.095 1.095 ↑ 1.0 81 1

Seq Scan on datas_part_0000009161 (cost=0.00..26.81 rows=81 width=656) (actual time=0.036..1.095 rows=81 loops=1)

326. 0.714 0.714 ↑ 1.0 81 1

Seq Scan on datas_part_0000009162 (cost=0.00..21.81 rows=81 width=654) (actual time=0.036..0.714 rows=81 loops=1)

327. 0.723 0.723 ↑ 1.0 81 1

Seq Scan on datas_part_0000009163 (cost=0.00..25.81 rows=81 width=655) (actual time=0.017..0.723 rows=81 loops=1)

328. 0.925 0.925 ↑ 1.0 81 1

Seq Scan on datas_part_0000009164 (cost=0.00..28.81 rows=81 width=656) (actual time=0.017..0.925 rows=81 loops=1)

329. 0.715 0.715 ↑ 1.0 81 1

Seq Scan on datas_part_0000009165 (cost=0.00..24.81 rows=81 width=656) (actual time=0.035..0.715 rows=81 loops=1)

330. 0.821 0.821 ↑ 1.0 81 1

Seq Scan on datas_part_0000009166 (cost=0.00..25.81 rows=81 width=655) (actual time=0.029..0.821 rows=81 loops=1)

331. 1.273 1.273 ↑ 1.0 81 1

Seq Scan on datas_part_0000009167 (cost=0.00..26.81 rows=81 width=655) (actual time=0.037..1.273 rows=81 loops=1)

332. 0.775 0.775 ↑ 1.0 81 1

Seq Scan on datas_part_0000009168 (cost=0.00..22.81 rows=81 width=648) (actual time=0.036..0.775 rows=81 loops=1)

333. 1.278 1.278 ↑ 1.0 81 1

Seq Scan on datas_part_0000009169 (cost=0.00..40.81 rows=81 width=649) (actual time=0.053..1.278 rows=81 loops=1)

334. 0.727 0.727 ↑ 1.0 81 1

Seq Scan on datas_part_0000009170 (cost=0.00..22.81 rows=81 width=654) (actual time=0.037..0.727 rows=81 loops=1)

335. 1.106 1.106 ↑ 1.0 81 1

Seq Scan on datas_part_0000009171 (cost=0.00..30.81 rows=81 width=658) (actual time=0.021..1.106 rows=81 loops=1)

336. 1.283 1.283 ↑ 1.0 81 1

Seq Scan on datas_part_0000009172 (cost=0.00..39.81 rows=81 width=659) (actual time=0.036..1.283 rows=81 loops=1)

337. 1.072 1.072 ↑ 1.0 81 1

Seq Scan on datas_part_0000009173 (cost=0.00..29.81 rows=81 width=655) (actual time=0.038..1.072 rows=81 loops=1)

338. 0.929 0.929 ↑ 1.0 81 1

Seq Scan on datas_part_0000009174 (cost=0.00..32.81 rows=81 width=659) (actual time=0.042..0.929 rows=81 loops=1)

339. 0.752 0.752 ↑ 1.0 81 1

Seq Scan on datas_part_0000009175 (cost=0.00..19.81 rows=81 width=649) (actual time=0.022..0.752 rows=81 loops=1)

340. 0.864 0.864 ↑ 1.0 81 1

Seq Scan on datas_part_0000009176 (cost=0.00..23.81 rows=81 width=659) (actual time=0.037..0.864 rows=81 loops=1)

341. 0.828 0.828 ↑ 1.0 81 1

Seq Scan on datas_part_0000009178 (cost=0.00..25.81 rows=81 width=658) (actual time=0.039..0.828 rows=81 loops=1)

342. 0.760 0.760 ↑ 1.0 81 1

Seq Scan on datas_part_0000009179 (cost=0.00..23.81 rows=81 width=650) (actual time=0.037..0.760 rows=81 loops=1)

343. 0.931 0.931 ↑ 1.0 81 1

Seq Scan on datas_part_0000009180 (cost=0.00..25.81 rows=81 width=655) (actual time=0.035..0.931 rows=81 loops=1)

344. 1.251 1.251 ↑ 1.0 81 1

Seq Scan on datas_part_0000009181 (cost=0.00..38.81 rows=81 width=659) (actual time=0.037..1.251 rows=81 loops=1)

345. 0.973 0.973 ↑ 1.0 81 1

Seq Scan on datas_part_0000009182 (cost=0.00..24.81 rows=81 width=658) (actual time=0.035..0.973 rows=81 loops=1)

346. 0.631 0.631 ↑ 1.0 81 1

Seq Scan on datas_part_0000009183 (cost=0.00..22.81 rows=81 width=650) (actual time=0.042..0.631 rows=81 loops=1)

347. 0.198 0.198 ↑ 1.0 81 1

Seq Scan on datas_part_0000009184 (cost=0.00..21.81 rows=81 width=649) (actual time=0.022..0.198 rows=81 loops=1)

348. 0.820 0.820 ↑ 1.0 81 1

Seq Scan on datas_part_0000009185 (cost=0.00..24.81 rows=81 width=658) (actual time=0.012..0.820 rows=81 loops=1)

349. 0.695 0.695 ↑ 1.0 81 1

Seq Scan on datas_part_0000009186 (cost=0.00..25.81 rows=81 width=656) (actual time=0.037..0.695 rows=81 loops=1)

350. 0.845 0.845 ↑ 1.0 81 1

Seq Scan on datas_part_0000009187 (cost=0.00..25.81 rows=81 width=659) (actual time=0.020..0.845 rows=81 loops=1)

351. 1.064 1.064 ↑ 1.0 81 1

Seq Scan on datas_part_0000009188 (cost=0.00..25.81 rows=81 width=656) (actual time=0.037..1.064 rows=81 loops=1)

352. 0.966 0.966 ↑ 1.0 81 1

Seq Scan on datas_part_0000009189 (cost=0.00..26.81 rows=81 width=649) (actual time=0.036..0.966 rows=81 loops=1)

353. 0.782 0.782 ↑ 1.0 81 1

Seq Scan on datas_part_0000009190 (cost=0.00..21.81 rows=81 width=659) (actual time=0.037..0.782 rows=81 loops=1)

354. 0.927 0.927 ↑ 1.0 81 1

Seq Scan on datas_part_0000009191 (cost=0.00..28.81 rows=81 width=658) (actual time=0.037..0.927 rows=81 loops=1)

355. 0.936 0.936 ↑ 1.0 81 1

Seq Scan on datas_part_0000009192 (cost=0.00..29.81 rows=81 width=659) (actual time=0.042..0.936 rows=81 loops=1)

356. 0.835 0.835 ↑ 1.0 81 1

Seq Scan on datas_part_0000009193 (cost=0.00..23.81 rows=81 width=653) (actual time=0.036..0.835 rows=81 loops=1)

357. 0.616 0.616 ↑ 1.0 81 1

Seq Scan on datas_part_0000009195 (cost=0.00..28.81 rows=81 width=655) (actual time=0.036..0.616 rows=81 loops=1)

358. 0.719 0.719 ↑ 1.0 81 1

Seq Scan on datas_part_0000009196 (cost=0.00..21.81 rows=81 width=656) (actual time=0.020..0.719 rows=81 loops=1)

359. 1.041 1.041 ↑ 1.0 81 1

Seq Scan on datas_part_0000009197 (cost=0.00..29.81 rows=81 width=656) (actual time=0.035..1.041 rows=81 loops=1)

360. 0.900 0.900 ↑ 1.0 81 1

Seq Scan on datas_part_0000009198 (cost=0.00..25.81 rows=81 width=658) (actual time=0.036..0.900 rows=81 loops=1)

361. 1.057 1.057 ↑ 1.0 81 1

Seq Scan on datas_part_0000009199 (cost=0.00..24.81 rows=81 width=656) (actual time=0.036..1.057 rows=81 loops=1)

362. 0.955 0.955 ↑ 1.0 81 1

Seq Scan on datas_part_0000009200 (cost=0.00..25.81 rows=81 width=658) (actual time=0.036..0.955 rows=81 loops=1)

363. 0.858 0.858 ↑ 1.0 81 1

Seq Scan on datas_part_0000009201 (cost=0.00..24.81 rows=81 width=658) (actual time=0.043..0.858 rows=81 loops=1)

364. 0.924 0.924 ↑ 1.0 81 1

Seq Scan on datas_part_0000009202 (cost=0.00..25.81 rows=81 width=655) (actual time=0.035..0.924 rows=81 loops=1)

365. 0.553 0.553 ↑ 1.0 81 1

Seq Scan on datas_part_0000009203 (cost=0.00..25.81 rows=81 width=658) (actual time=0.037..0.553 rows=81 loops=1)

366. 0.622 0.622 ↑ 1.0 81 1

Seq Scan on datas_part_0000009204 (cost=0.00..23.81 rows=81 width=658) (actual time=0.020..0.622 rows=81 loops=1)

367. 0.695 0.695 ↑ 1.0 81 1

Seq Scan on datas_part_0000009205 (cost=0.00..24.81 rows=81 width=656) (actual time=0.026..0.695 rows=81 loops=1)

368. 1.060 1.060 ↑ 1.0 81 1

Seq Scan on datas_part_0000009207 (cost=0.00..26.81 rows=81 width=659) (actual time=0.036..1.060 rows=81 loops=1)

369. 1.358 1.358 ↑ 1.0 81 1

Seq Scan on datas_part_0000009208 (cost=0.00..50.81 rows=81 width=652) (actual time=0.035..1.358 rows=81 loops=1)

370. 0.864 0.864 ↑ 1.0 81 1

Seq Scan on datas_part_0000009209 (cost=0.00..24.81 rows=81 width=658) (actual time=0.038..0.864 rows=81 loops=1)

371. 0.911 0.911 ↑ 1.0 81 1

Seq Scan on datas_part_0000009210 (cost=0.00..24.81 rows=81 width=652) (actual time=0.041..0.911 rows=81 loops=1)

372. 0.859 0.859 ↑ 1.0 81 1

Seq Scan on datas_part_0000009211 (cost=0.00..20.81 rows=81 width=650) (actual time=0.034..0.859 rows=81 loops=1)

373. 0.831 0.831 ↑ 1.0 81 1

Seq Scan on datas_part_0000009212 (cost=0.00..24.81 rows=81 width=653) (actual time=0.036..0.831 rows=81 loops=1)

374. 0.575 0.575 ↑ 1.0 83 1

Seq Scan on datas_part_0000009213 (cost=0.00..22.83 rows=83 width=657) (actual time=0.036..0.575 rows=83 loops=1)

375. 1.140 1.140 ↑ 1.0 81 1

Seq Scan on datas_part_0000009214 (cost=0.00..37.81 rows=81 width=658) (actual time=0.018..1.140 rows=81 loops=1)

376. 1.128 1.128 ↑ 1.0 81 1

Seq Scan on datas_part_0000009215 (cost=0.00..25.81 rows=81 width=658) (actual time=0.037..1.128 rows=81 loops=1)

377. 0.906 0.906 ↑ 1.0 78 1

Seq Scan on datas_part_0000009216 (cost=0.00..24.78 rows=78 width=656) (actual time=0.037..0.906 rows=78 loops=1)

378. 0.782 0.782 ↑ 1.0 81 1

Seq Scan on datas_part_0000009217 (cost=0.00..23.81 rows=81 width=656) (actual time=0.035..0.782 rows=81 loops=1)

379. 0.884 0.884 ↑ 1.0 81 1

Seq Scan on datas_part_0000009218 (cost=0.00..25.81 rows=81 width=656) (actual time=0.042..0.884 rows=81 loops=1)

380. 0.497 0.497 ↑ 1.0 83 1

Seq Scan on datas_part_0000009219 (cost=0.00..24.83 rows=83 width=655) (actual time=0.036..0.497 rows=83 loops=1)

381. 1.008 1.008 ↑ 1.0 81 1

Seq Scan on datas_part_0000009220 (cost=0.00..24.81 rows=81 width=659) (actual time=0.018..1.008 rows=81 loops=1)

382. 0.943 0.943 ↑ 1.0 81 1

Seq Scan on datas_part_0000009221 (cost=0.00..24.81 rows=81 width=656) (actual time=0.034..0.943 rows=81 loops=1)

383. 0.878 0.878 ↑ 1.0 77 1

Seq Scan on datas_part_0000009222 (cost=0.00..24.77 rows=77 width=653) (actual time=0.037..0.878 rows=77 loops=1)

384. 1.010 1.010 ↑ 1.0 81 1

Seq Scan on datas_part_0000009223 (cost=0.00..32.81 rows=81 width=656) (actual time=0.036..1.010 rows=81 loops=1)

385. 0.602 0.602 ↑ 1.0 81 1

Seq Scan on datas_part_0000009224 (cost=0.00..20.81 rows=81 width=659) (actual time=0.034..0.602 rows=81 loops=1)

386. 0.723 0.723 ↑ 1.0 81 1

Seq Scan on datas_part_0000009225 (cost=0.00..21.81 rows=81 width=657) (actual time=0.019..0.723 rows=81 loops=1)

387. 0.712 0.712 ↑ 1.0 81 1

Seq Scan on datas_part_0000009226 (cost=0.00..20.81 rows=81 width=656) (actual time=0.042..0.712 rows=81 loops=1)

388. 0.979 0.979 ↑ 1.0 80 1

Seq Scan on datas_part_0000009227 (cost=0.00..27.80 rows=80 width=662) (actual time=0.036..0.979 rows=80 loops=1)

389. 0.321 0.321 ↑ 1.0 79 1

Seq Scan on datas_part_0000009228 (cost=0.00..15.79 rows=79 width=655) (actual time=0.036..0.321 rows=79 loops=1)

390. 1.010 1.010 ↑ 1.0 81 1

Seq Scan on datas_part_0000009229 (cost=0.00..34.81 rows=81 width=656) (actual time=0.015..1.010 rows=81 loops=1)

391. 0.493 0.493 ↑ 1.0 79 1

Seq Scan on datas_part_0000009230 (cost=0.00..23.79 rows=79 width=654) (actual time=0.036..0.493 rows=79 loops=1)

392. 1.012 1.012 ↑ 1.0 81 1

Seq Scan on datas_part_0000009231 (cost=0.00..24.81 rows=81 width=654) (actual time=0.019..1.012 rows=81 loops=1)

393. 0.918 0.918 ↑ 1.0 81 1

Seq Scan on datas_part_0000009232 (cost=0.00..24.81 rows=81 width=656) (actual time=0.035..0.918 rows=81 loops=1)

394. 1.020 1.020 ↑ 1.0 81 1

Seq Scan on datas_part_0000009234 (cost=0.00..28.81 rows=81 width=658) (actual time=0.036..1.020 rows=81 loops=1)

395. 0.836 0.836 ↑ 1.0 80 1

Seq Scan on datas_part_0000009235 (cost=0.00..23.80 rows=80 width=662) (actual time=0.044..0.836 rows=80 loops=1)

396. 0.640 0.640 ↑ 1.0 80 1

Seq Scan on datas_part_0000009236 (cost=0.00..23.80 rows=80 width=663) (actual time=0.035..0.640 rows=80 loops=1)

397. 1.005 1.005 ↑ 1.0 77 1

Seq Scan on datas_part_0000009237 (cost=0.00..24.77 rows=77 width=655) (actual time=0.018..1.005 rows=77 loops=1)

398. 1.046 1.046 ↑ 1.0 81 1

Seq Scan on datas_part_0000009238 (cost=0.00..30.81 rows=81 width=656) (actual time=0.036..1.046 rows=81 loops=1)

399. 0.478 0.478 ↑ 1.0 81 1

Seq Scan on datas_part_0000009239 (cost=0.00..25.81 rows=81 width=656) (actual time=0.035..0.478 rows=81 loops=1)

400. 0.918 0.918 ↑ 1.0 78 1

Seq Scan on datas_part_0000009240 (cost=0.00..28.78 rows=78 width=664) (actual time=0.021..0.918 rows=78 loops=1)

401. 0.799 0.799 ↑ 1.0 81 1

Seq Scan on datas_part_0000009241 (cost=0.00..22.81 rows=81 width=655) (actual time=0.036..0.799 rows=81 loops=1)

402. 1.072 1.072 ↑ 1.0 79 1

Seq Scan on datas_part_0000009242 (cost=0.00..37.79 rows=79 width=656) (actual time=0.036..1.072 rows=79 loops=1)

403. 0.899 0.899 ↑ 1.0 81 1

Seq Scan on datas_part_0000009243 (cost=0.00..26.81 rows=81 width=658) (actual time=0.044..0.899 rows=81 loops=1)

404. 0.992 0.992 ↑ 1.0 81 1

Seq Scan on datas_part_0000009244 (cost=0.00..28.81 rows=81 width=658) (actual time=0.036..0.992 rows=81 loops=1)

405. 0.759 0.759 ↑ 1.0 83 1

Seq Scan on datas_part_0000009245 (cost=0.00..22.83 rows=83 width=658) (actual time=0.036..0.759 rows=83 loops=1)

406. 0.536 0.536 ↑ 1.0 81 1

Seq Scan on datas_part_0000009246 (cost=0.00..21.81 rows=81 width=656) (actual time=0.052..0.536 rows=81 loops=1)

407. 1.115 1.115 ↑ 1.0 80 1

Seq Scan on datas_part_0000009247 (cost=0.00..29.80 rows=80 width=662) (actual time=0.018..1.115 rows=80 loops=1)

408. 0.953 0.953 ↑ 1.0 81 1

Seq Scan on datas_part_0000009248 (cost=0.00..24.81 rows=81 width=658) (actual time=0.036..0.953 rows=81 loops=1)

409. 0.907 0.907 ↑ 1.0 81 1

Seq Scan on datas_part_0000009249 (cost=0.00..26.81 rows=81 width=656) (actual time=0.036..0.907 rows=81 loops=1)

410. 0.983 0.983 ↑ 1.0 83 1

Seq Scan on datas_part_0000009250 (cost=0.00..28.83 rows=83 width=655) (actual time=0.036..0.983 rows=83 loops=1)

411. 1.319 1.319 ↑ 1.0 81 1

Seq Scan on datas_part_0000009251 (cost=0.00..41.81 rows=81 width=656) (actual time=0.041..1.319 rows=81 loops=1)

412. 0.950 0.950 ↑ 1.0 81 1

Seq Scan on datas_part_0000009252 (cost=0.00..30.81 rows=81 width=658) (actual time=0.036..0.950 rows=81 loops=1)

413. 1.178 1.178 ↑ 1.0 81 1

Seq Scan on datas_part_0000009253 (cost=0.00..30.81 rows=81 width=658) (actual time=0.023..1.178 rows=81 loops=1)

414. 0.761 0.761 ↑ 1.0 81 1

Seq Scan on datas_part_0000009254 (cost=0.00..27.81 rows=81 width=656) (actual time=0.036..0.761 rows=81 loops=1)

415. 0.795 0.795 ↑ 1.0 81 1

Seq Scan on datas_part_0000009255 (cost=0.00..24.81 rows=81 width=658) (actual time=0.036..0.795 rows=81 loops=1)

416. 0.591 0.591 ↑ 1.0 81 1

Seq Scan on datas_part_0000009256 (cost=0.00..23.81 rows=81 width=649) (actual time=0.018..0.591 rows=81 loops=1)

417. 0.785 0.785 ↑ 1.0 79 1

Seq Scan on datas_part_0000009257 (cost=0.00..28.79 rows=79 width=654) (actual time=0.025..0.785 rows=79 loops=1)

418. 0.689 0.689 ↑ 1.0 79 1

Seq Scan on datas_part_0000009258 (cost=0.00..20.79 rows=79 width=652) (actual time=0.017..0.689 rows=79 loops=1)

419. 0.669 0.669 ↑ 1.0 79 1

Seq Scan on datas_part_0000009259 (cost=0.00..23.79 rows=79 width=653) (actual time=0.042..0.669 rows=79 loops=1)

420. 0.818 0.818 ↑ 1.0 79 1

Seq Scan on datas_part_0000009260 (cost=0.00..20.79 rows=79 width=654) (actual time=0.025..0.818 rows=79 loops=1)

421. 2.427 2.427 ↑ 1.0 81 1

Index Scan using datas_part_0000009261_ideventtype_idx on datas_part_0000009261 (cost=0.14..58.99 rows=81 width=655) (actual time=0.361..2.427 rows=81 loops=1)

422. 0.968 0.968 ↑ 1.0 79 1

Seq Scan on datas_part_0000009262 (cost=0.00..25.79 rows=79 width=653) (actual time=0.036..0.968 rows=79 loops=1)

423. 1.255 1.255 ↑ 1.0 81 1

Seq Scan on datas_part_0000009263 (cost=0.00..43.81 rows=81 width=658) (actual time=0.036..1.255 rows=81 loops=1)

424. 0.690 0.690 ↑ 1.0 79 1

Seq Scan on datas_part_0000009264 (cost=0.00..16.79 rows=79 width=647) (actual time=0.038..0.690 rows=79 loops=1)

425. 0.957 0.957 ↑ 1.0 79 1

Seq Scan on datas_part_0000009265 (cost=0.00..25.79 rows=79 width=654) (actual time=0.036..0.957 rows=79 loops=1)

426. 1.183 1.183 ↑ 1.0 81 1

Seq Scan on datas_part_0000009266 (cost=0.00..31.81 rows=81 width=658) (actual time=0.035..1.183 rows=81 loops=1)

427. 0.725 0.725 ↑ 1.0 81 1

Seq Scan on datas_part_0000009267 (cost=0.00..19.81 rows=81 width=658) (actual time=0.036..0.725 rows=81 loops=1)

428. 0.861 0.861 ↑ 1.0 81 1

Seq Scan on datas_part_0000009268 (cost=0.00..24.81 rows=81 width=655) (actual time=0.041..0.861 rows=81 loops=1)

429. 0.920 0.920 ↑ 1.0 79 1

Seq Scan on datas_part_0000009269 (cost=0.00..24.79 rows=79 width=654) (actual time=0.037..0.920 rows=79 loops=1)

430. 1.261 1.261 ↑ 1.0 81 1

Seq Scan on datas_part_0000009270 (cost=0.00..35.81 rows=81 width=652) (actual time=0.036..1.261 rows=81 loops=1)

431. 0.708 0.708 ↑ 1.0 81 1

Seq Scan on datas_part_0000009271 (cost=0.00..23.81 rows=81 width=659) (actual time=0.035..0.708 rows=81 loops=1)

432. 0.874 0.874 ↑ 1.0 79 1

Seq Scan on datas_part_0000009272 (cost=0.00..25.79 rows=79 width=654) (actual time=0.019..0.874 rows=79 loops=1)

433. 0.645 0.645 ↑ 1.0 81 1

Seq Scan on datas_part_0000009273 (cost=0.00..23.81 rows=81 width=656) (actual time=0.035..0.645 rows=81 loops=1)

434. 0.677 0.677 ↑ 1.0 81 1

Seq Scan on datas_part_0000009274 (cost=0.00..20.81 rows=81 width=650) (actual time=0.018..0.677 rows=81 loops=1)

435. 0.565 0.565 ↑ 1.0 81 1

Seq Scan on datas_part_0000009275 (cost=0.00..17.81 rows=81 width=656) (actual time=0.035..0.565 rows=81 loops=1)

436. 1.061 1.061 ↑ 1.0 81 1

Seq Scan on datas_part_0000009276 (cost=0.00..27.81 rows=81 width=654) (actual time=0.023..1.061 rows=81 loops=1)

437. 1.054 1.054 ↑ 1.0 81 1

Seq Scan on datas_part_0000009277 (cost=0.00..30.81 rows=81 width=650) (actual time=0.036..1.054 rows=81 loops=1)

438. 0.539 0.539 ↑ 1.0 81 1

Seq Scan on datas_part_0000009278 (cost=0.00..26.81 rows=81 width=656) (actual time=0.035..0.539 rows=81 loops=1)

439. 0.833 0.833 ↑ 1.0 81 1

Seq Scan on datas_part_0000009279 (cost=0.00..23.81 rows=81 width=656) (actual time=0.020..0.833 rows=81 loops=1)

440. 0.652 0.652 ↑ 1.0 79 1

Seq Scan on datas_part_0000009280 (cost=0.00..24.79 rows=79 width=653) (actual time=0.035..0.652 rows=79 loops=1)

441. 0.650 0.650 ↑ 1.0 81 1

Seq Scan on datas_part_0000009281 (cost=0.00..15.81 rows=81 width=649) (actual time=0.023..0.650 rows=81 loops=1)

442. 0.677 0.677 ↑ 1.0 78 1

Seq Scan on datas_part_0000009282 (cost=0.00..25.78 rows=78 width=661) (actual time=0.035..0.677 rows=78 loops=1)

443. 0.795 0.795 ↑ 1.0 79 1

Seq Scan on datas_part_0000009283 (cost=0.00..22.79 rows=79 width=654) (actual time=0.019..0.795 rows=79 loops=1)

444. 1.200 1.200 ↑ 1.0 79 1

Seq Scan on datas_part_0000009284 (cost=0.00..29.79 rows=79 width=654) (actual time=0.041..1.200 rows=79 loops=1)

445. 3.779 3.779 ↑ 1.0 79 1

Index Scan using datas_part_0000009285_ideventtype_idx on datas_part_0000009285 (cost=0.14..67.02 rows=79 width=656) (actual time=0.231..3.779 rows=79 loops=1)

446. 0.834 0.834 ↑ 1.0 81 1

Seq Scan on datas_part_0000009286 (cost=0.00..27.81 rows=81 width=656) (actual time=0.035..0.834 rows=81 loops=1)

447. 1.239 1.239 ↑ 1.0 79 1

Seq Scan on datas_part_0000009287 (cost=0.00..32.79 rows=79 width=652) (actual time=0.019..1.239 rows=79 loops=1)

448. 1.050 1.050 ↑ 1.0 79 1

Seq Scan on datas_part_0000009288 (cost=0.00..27.79 rows=79 width=654) (actual time=0.036..1.050 rows=79 loops=1)

449. 0.948 0.948 ↑ 1.0 79 1

Seq Scan on datas_part_0000009289 (cost=0.00..24.79 rows=79 width=654) (actual time=0.035..0.948 rows=79 loops=1)

450. 1.296 1.296 ↑ 1.0 79 1

Seq Scan on datas_part_0000009291 (cost=0.00..31.79 rows=79 width=653) (actual time=0.036..1.296 rows=79 loops=1)

451. 0.848 0.848 ↑ 1.0 81 1

Seq Scan on datas_part_0000009292 (cost=0.00..24.81 rows=81 width=658) (actual time=0.043..0.848 rows=81 loops=1)

452. 0.859 0.859 ↑ 1.0 81 1

Seq Scan on datas_part_0000009293 (cost=0.00..28.81 rows=81 width=655) (actual time=0.044..0.859 rows=81 loops=1)

453. 0.679 0.679 ↑ 1.0 79 1

Seq Scan on datas_part_0000009294 (cost=0.00..21.79 rows=79 width=651) (actual time=0.019..0.679 rows=79 loops=1)

454. 1.197 1.197 ↑ 1.0 81 1

Seq Scan on datas_part_0000009295 (cost=0.00..27.81 rows=81 width=656) (actual time=0.036..1.197 rows=81 loops=1)

455. 1.221 1.221 ↑ 1.0 81 1

Seq Scan on datas_part_0000009296 (cost=0.00..27.81 rows=81 width=656) (actual time=0.035..1.221 rows=81 loops=1)

456. 0.908 0.908 ↑ 1.0 80 1

Seq Scan on datas_part_0000009297 (cost=0.00..26.80 rows=80 width=661) (actual time=0.036..0.908 rows=80 loops=1)

457. 0.918 0.918 ↑ 1.0 81 1

Seq Scan on datas_part_0000009298 (cost=0.00..22.81 rows=81 width=658) (actual time=0.029..0.918 rows=81 loops=1)

458. 0.687 0.687 ↑ 1.0 81 1

Seq Scan on datas_part_0000009299 (cost=0.00..20.81 rows=81 width=655) (actual time=0.037..0.687 rows=81 loops=1)

459. 1.216 1.216 ↑ 1.0 78 1

Seq Scan on datas_part_0000009300 (cost=0.00..37.78 rows=78 width=660) (actual time=0.019..1.216 rows=78 loops=1)

460. 1.126 1.126 ↑ 1.0 81 1

Seq Scan on datas_part_0000009301 (cost=0.00..28.81 rows=81 width=656) (actual time=0.042..1.126 rows=81 loops=1)

461. 0.881 0.881 ↑ 1.0 81 1

Seq Scan on datas_part_0000009302 (cost=0.00..27.81 rows=81 width=656) (actual time=0.036..0.881 rows=81 loops=1)

462. 1.262 1.262 ↑ 1.0 83 1

Seq Scan on datas_part_0000009303 (cost=0.00..27.83 rows=83 width=658) (actual time=0.022..1.262 rows=83 loops=1)

463. 0.782 0.782 ↑ 1.0 81 1

Seq Scan on datas_part_0000009304 (cost=0.00..18.81 rows=81 width=656) (actual time=0.038..0.782 rows=81 loops=1)

464. 0.686 0.686 ↑ 1.0 81 1

Seq Scan on datas_part_0000009305 (cost=0.00..26.81 rows=81 width=655) (actual time=0.036..0.686 rows=81 loops=1)

465. 0.675 0.675 ↑ 1.0 81 1

Seq Scan on datas_part_0000009306 (cost=0.00..23.81 rows=81 width=656) (actual time=0.020..0.675 rows=81 loops=1)

466. 0.803 0.803 ↑ 1.0 81 1

Seq Scan on datas_part_0000009307 (cost=0.00..23.81 rows=81 width=656) (actual time=0.036..0.803 rows=81 loops=1)

467. 0.520 0.520 ↑ 1.0 81 1

Seq Scan on datas_part_0000009309 (cost=0.00..22.81 rows=81 width=654) (actual time=0.034..0.520 rows=81 loops=1)

468. 0.619 0.619 ↑ 1.0 81 1

Seq Scan on datas_part_0000009310 (cost=0.00..23.81 rows=81 width=656) (actual time=0.050..0.619 rows=81 loops=1)

469. 0.632 0.632 ↑ 1.0 81 1

Seq Scan on datas_part_0000009311 (cost=0.00..22.81 rows=81 width=658) (actual time=0.016..0.632 rows=81 loops=1)

470. 0.712 0.712 ↑ 1.0 81 1

Seq Scan on datas_part_0000009312 (cost=0.00..21.81 rows=81 width=658) (actual time=0.014..0.712 rows=81 loops=1)

471. 1.180 1.180 ↑ 1.0 80 1

Seq Scan on datas_part_0000009313 (cost=0.00..25.80 rows=80 width=660) (actual time=0.036..1.180 rows=80 loops=1)

472. 0.540 0.540 ↑ 1.0 81 1

Seq Scan on datas_part_0000009314 (cost=0.00..25.81 rows=81 width=656) (actual time=0.037..0.540 rows=81 loops=1)

473. 0.754 0.754 ↑ 1.0 81 1

Seq Scan on datas_part_0000009315 (cost=0.00..23.81 rows=81 width=658) (actual time=0.019..0.754 rows=81 loops=1)

474. 0.589 0.589 ↑ 1.0 81 1

Seq Scan on datas_part_0000009316 (cost=0.00..23.81 rows=81 width=657) (actual time=0.036..0.589 rows=81 loops=1)

475. 1.033 1.033 ↑ 1.0 83 1

Seq Scan on datas_part_0000009317 (cost=0.00..24.83 rows=83 width=655) (actual time=0.019..1.033 rows=83 loops=1)

476. 0.998 0.998 ↑ 1.0 83 1

Seq Scan on datas_part_0000009318 (cost=0.00..27.83 rows=83 width=658) (actual time=0.041..0.998 rows=83 loops=1)

477. 1.050 1.050 ↑ 1.0 81 1

Seq Scan on datas_part_0000009319 (cost=0.00..29.81 rows=81 width=656) (actual time=0.037..1.050 rows=81 loops=1)

478. 0.915 0.915 ↑ 1.0 81 1

Seq Scan on datas_part_0000009320 (cost=0.00..22.81 rows=81 width=658) (actual time=0.036..0.915 rows=81 loops=1)

479. 0.904 0.904 ↑ 1.0 81 1

Seq Scan on datas_part_0000009321 (cost=0.00..26.81 rows=81 width=655) (actual time=0.036..0.904 rows=81 loops=1)

480. 0.960 0.960 ↑ 1.0 81 1

Seq Scan on datas_part_0000009322 (cost=0.00..27.81 rows=81 width=655) (actual time=0.037..0.960 rows=81 loops=1)

481. 1.075 1.075 ↑ 1.0 81 1

Seq Scan on datas_part_0000009323 (cost=0.00..27.81 rows=81 width=656) (actual time=0.036..1.075 rows=81 loops=1)

482. 0.793 0.793 ↑ 1.0 79 1

Seq Scan on datas_part_0000009324 (cost=0.00..23.79 rows=79 width=655) (actual time=0.037..0.793 rows=79 loops=1)

483. 0.775 0.775 ↑ 1.0 81 1

Seq Scan on datas_part_0000009325 (cost=0.00..23.81 rows=81 width=658) (actual time=0.027..0.775 rows=81 loops=1)

484. 0.938 0.938 ↑ 1.0 81 1

Seq Scan on datas_part_0000009326 (cost=0.00..27.81 rows=81 width=656) (actual time=0.042..0.938 rows=81 loops=1)

485. 0.777 0.777 ↑ 1.0 79 1

Seq Scan on datas_part_0000009327 (cost=0.00..19.79 rows=79 width=655) (actual time=0.036..0.777 rows=79 loops=1)

486. 0.753 0.753 ↑ 1.0 79 1

Seq Scan on datas_part_0000009328 (cost=0.00..18.79 rows=79 width=655) (actual time=0.037..0.753 rows=79 loops=1)

487. 1.014 1.014 ↑ 1.0 79 1

Seq Scan on datas_part_0000009329 (cost=0.00..30.79 rows=79 width=654) (actual time=0.036..1.014 rows=79 loops=1)

488. 0.950 0.950 ↑ 1.0 81 1

Seq Scan on datas_part_0000009330 (cost=0.00..25.81 rows=81 width=658) (actual time=0.036..0.950 rows=81 loops=1)

489. 0.939 0.939 ↑ 1.0 81 1

Seq Scan on datas_part_0000009331 (cost=0.00..25.81 rows=81 width=658) (actual time=0.036..0.939 rows=81 loops=1)

490. 1.219 1.219 ↑ 1.0 81 1

Seq Scan on datas_part_0000009332 (cost=0.00..28.81 rows=81 width=658) (actual time=0.036..1.219 rows=81 loops=1)

491. 0.659 0.659 ↑ 1.0 79 1

Seq Scan on datas_part_0000009333 (cost=0.00..23.79 rows=79 width=654) (actual time=0.036..0.659 rows=79 loops=1)

492. 0.534 0.534 ↑ 1.0 79 1

Seq Scan on datas_part_0000009334 (cost=0.00..24.79 rows=79 width=654) (actual time=0.026..0.534 rows=79 loops=1)

493. 1.084 1.084 ↑ 1.0 79 1

Seq Scan on datas_part_0000009335 (cost=0.00..26.79 rows=79 width=655) (actual time=0.014..1.084 rows=79 loops=1)

494. 1.246 1.246 ↑ 1.0 83 1

Seq Scan on datas_part_0000009336 (cost=0.00..29.83 rows=83 width=658) (actual time=0.036..1.246 rows=83 loops=1)

495. 0.987 0.987 ↑ 1.0 77 1

Seq Scan on datas_part_0000009337 (cost=0.00..24.77 rows=77 width=653) (actual time=0.035..0.987 rows=77 loops=1)

496. 2.794 2.794 ↑ 1.0 79 1

Index Scan using datas_part_0000009338_ideventtype_idx on datas_part_0000009338 (cost=0.14..69.60 rows=79 width=655) (actual time=0.372..2.794 rows=79 loops=1)

497. 0.894 0.894 ↑ 1.0 81 1

Seq Scan on datas_part_0000009339 (cost=0.00..29.81 rows=81 width=658) (actual time=0.035..0.894 rows=81 loops=1)

498. 0.583 0.583 ↑ 1.0 81 1

Seq Scan on datas_part_0000009340 (cost=0.00..22.81 rows=81 width=658) (actual time=0.018..0.583 rows=81 loops=1)

499. 1.034 1.034 ↑ 1.0 79 1

Seq Scan on datas_part_0000009341 (cost=0.00..25.79 rows=79 width=653) (actual time=0.022..1.034 rows=79 loops=1)

500. 1.057 1.057 ↑ 1.0 77 1

Seq Scan on datas_part_0000009342 (cost=0.00..27.77 rows=77 width=653) (actual time=0.036..1.057 rows=77 loops=1)

501. 0.537 0.537 ↑ 1.0 79 1

Seq Scan on datas_part_0000009343 (cost=0.00..24.79 rows=79 width=654) (actual time=0.037..0.537 rows=79 loops=1)

502. 0.491 0.491 ↑ 1.0 79 1

Seq Scan on datas_part_0000009344 (cost=0.00..19.79 rows=79 width=654) (actual time=0.017..0.491 rows=79 loops=1)

503. 0.693 0.693 ↑ 1.0 81 1

Seq Scan on datas_part_0000009345 (cost=0.00..18.81 rows=81 width=659) (actual time=0.013..0.693 rows=81 loops=1)

504. 0.731 0.731 ↑ 1.0 81 1

Seq Scan on datas_part_0000009346 (cost=0.00..20.81 rows=81 width=655) (actual time=0.035..0.731 rows=81 loops=1)

505. 1.099 1.099 ↑ 1.0 81 1

Seq Scan on datas_part_0000009347 (cost=0.00..27.81 rows=81 width=658) (actual time=0.036..1.099 rows=81 loops=1)

506. 1.123 1.123 ↑ 1.0 81 1

Seq Scan on datas_part_0000009348 (cost=0.00..27.81 rows=81 width=658) (actual time=0.035..1.123 rows=81 loops=1)

507. 0.670 0.670 ↑ 1.0 79 1

Seq Scan on datas_part_0000009349 (cost=0.00..21.79 rows=79 width=654) (actual time=0.042..0.670 rows=79 loops=1)

508. 0.766 0.766 ↑ 1.0 79 1

Seq Scan on datas_part_0000009350 (cost=0.00..23.79 rows=79 width=654) (actual time=0.018..0.766 rows=79 loops=1)

509. 0.900 0.900 ↑ 1.0 81 1

Seq Scan on datas_part_0000009351 (cost=0.00..26.81 rows=81 width=656) (actual time=0.035..0.900 rows=81 loops=1)

510. 0.837 0.837 ↑ 1.0 81 1

Seq Scan on datas_part_0000009352 (cost=0.00..22.81 rows=81 width=656) (actual time=0.036..0.837 rows=81 loops=1)

511. 1.036 1.036 ↑ 1.0 81 1

Seq Scan on datas_part_0000009353 (cost=0.00..25.81 rows=81 width=657) (actual time=0.037..1.036 rows=81 loops=1)

512. 0.700 0.700 ↑ 1.0 76 1

Seq Scan on datas_part_0000009354 (cost=0.00..20.76 rows=76 width=659) (actual time=0.036..0.700 rows=76 loops=1)

513. 1.039 1.039 ↑ 1.0 81 1

Seq Scan on datas_part_0000009355 (cost=0.00..21.81 rows=81 width=658) (actual time=0.017..1.039 rows=81 loops=1)

514. 1.037 1.037 ↑ 1.0 79 1

Seq Scan on datas_part_0000009356 (cost=0.00..26.79 rows=79 width=656) (actual time=0.036..1.037 rows=79 loops=1)

515. 1.174 1.174 ↑ 1.0 80 1

Seq Scan on datas_part_0000009357 (cost=0.00..26.80 rows=80 width=664) (actual time=0.041..1.174 rows=80 loops=1)

516. 0.865 0.865 ↑ 1.0 79 1

Seq Scan on datas_part_0000009358 (cost=0.00..26.79 rows=79 width=653) (actual time=0.035..0.865 rows=79 loops=1)

517. 0.860 0.860 ↑ 1.0 81 1

Seq Scan on datas_part_0000009359 (cost=0.00..26.81 rows=81 width=656) (actual time=0.036..0.860 rows=81 loops=1)

518. 1.142 1.142 ↑ 1.0 81 1

Seq Scan on datas_part_0000009360 (cost=0.00..25.81 rows=81 width=656) (actual time=0.036..1.142 rows=81 loops=1)

519. 1.062 1.062 ↑ 1.0 80 1

Seq Scan on datas_part_0000009361 (cost=0.00..24.80 rows=80 width=664) (actual time=0.036..1.062 rows=80 loops=1)

520. 1.093 1.093 ↑ 1.0 83 1

Seq Scan on datas_part_0000009362 (cost=0.00..20.83 rows=83 width=659) (actual time=0.036..1.093 rows=83 loops=1)

521. 0.855 0.855 ↑ 1.0 81 1

Seq Scan on datas_part_0000009363 (cost=0.00..24.81 rows=81 width=659) (actual time=0.037..0.855 rows=81 loops=1)

522. 1.515 1.515 ↑ 1.0 81 1

Seq Scan on datas_part_0000009364 (cost=0.00..42.81 rows=81 width=656) (actual time=0.037..1.515 rows=81 loops=1)

523. 1.022 1.022 ↑ 1.0 81 1

Seq Scan on datas_part_0000009365 (cost=0.00..28.81 rows=81 width=658) (actual time=0.073..1.022 rows=81 loops=1)

524. 0.557 0.557 ↑ 1.0 81 1

Seq Scan on datas_part_0000009366 (cost=0.00..19.81 rows=81 width=658) (actual time=0.033..0.557 rows=81 loops=1)

525. 0.597 0.597 ↑ 1.0 78 1

Seq Scan on datas_part_0000009367 (cost=0.00..24.78 rows=78 width=661) (actual time=0.029..0.597 rows=78 loops=1)

526. 1.363 1.363 ↑ 1.0 78 1

Seq Scan on datas_part_0000009368 (cost=0.00..51.78 rows=78 width=659) (actual time=0.027..1.363 rows=78 loops=1)

527. 0.689 0.689 ↑ 1.0 81 1

Seq Scan on datas_part_0000009369 (cost=0.00..25.81 rows=81 width=659) (actual time=0.037..0.689 rows=81 loops=1)

528. 0.756 0.756 ↑ 1.0 81 1

Seq Scan on datas_part_0000009370 (cost=0.00..26.81 rows=81 width=656) (actual time=0.028..0.756 rows=81 loops=1)

529. 0.638 0.638 ↑ 1.0 79 1

Seq Scan on datas_part_0000009371 (cost=0.00..23.79 rows=79 width=657) (actual time=0.016..0.638 rows=79 loops=1)

530. 0.587 0.587 ↑ 1.0 81 1

Seq Scan on datas_part_0000009372 (cost=0.00..24.81 rows=81 width=659) (actual time=0.015..0.587 rows=81 loops=1)

531. 0.563 0.563 ↑ 1.0 81 1

Seq Scan on datas_part_0000009373 (cost=0.00..23.81 rows=81 width=659) (actual time=0.020..0.563 rows=81 loops=1)

532. 0.695 0.695 ↑ 1.0 78 1

Seq Scan on datas_part_0000009374 (cost=0.00..26.78 rows=78 width=653) (actual time=0.017..0.695 rows=78 loops=1)

533. 0.699 0.699 ↑ 1.0 81 1

Seq Scan on datas_part_0000009375 (cost=0.00..25.81 rows=81 width=655) (actual time=0.018..0.699 rows=81 loops=1)

534. 0.727 0.727 ↑ 1.0 81 1

Seq Scan on datas_part_0000009376 (cost=0.00..25.81 rows=81 width=656) (actual time=0.017..0.727 rows=81 loops=1)

535. 0.811 0.811 ↑ 1.0 81 1

Seq Scan on datas_part_0000009377 (cost=0.00..31.81 rows=81 width=659) (actual time=0.015..0.811 rows=81 loops=1)

536. 0.460 0.460 ↑ 1.0 81 1

Seq Scan on datas_part_0000009378 (cost=0.00..19.81 rows=81 width=658) (actual time=0.020..0.460 rows=81 loops=1)

537. 0.681 0.681 ↑ 1.0 81 1

Seq Scan on datas_part_0000009379 (cost=0.00..24.81 rows=81 width=659) (actual time=0.014..0.681 rows=81 loops=1)

538. 0.698 0.698 ↑ 1.0 81 1

Seq Scan on datas_part_0000009380 (cost=0.00..25.81 rows=81 width=658) (actual time=0.016..0.698 rows=81 loops=1)

539. 1.663 1.663 ↑ 1.0 78 1

Index Scan using datas_part_0000009381_ideventtype_idx on datas_part_0000009381 (cost=0.14..63.78 rows=78 width=659) (actual time=0.154..1.663 rows=78 loops=1)

540. 0.648 0.648 ↑ 1.0 81 1

Seq Scan on datas_part_0000009382 (cost=0.00..20.81 rows=81 width=655) (actual time=0.019..0.648 rows=81 loops=1)

541. 0.605 0.605 ↑ 1.0 78 1

Seq Scan on datas_part_0000009383 (cost=0.00..23.78 rows=78 width=661) (actual time=0.014..0.605 rows=78 loops=1)

542. 0.757 0.757 ↑ 1.0 81 1

Seq Scan on datas_part_0000009384 (cost=0.00..28.81 rows=81 width=659) (actual time=0.016..0.757 rows=81 loops=1)

543. 0.806 0.806 ↑ 1.0 81 1

Seq Scan on datas_part_0000009385 (cost=0.00..29.81 rows=81 width=659) (actual time=0.029..0.806 rows=81 loops=1)

544. 0.723 0.723 ↑ 1.0 81 1

Seq Scan on datas_part_0000009386 (cost=0.00..26.81 rows=81 width=659) (actual time=0.017..0.723 rows=81 loops=1)

545. 0.626 0.626 ↑ 1.0 80 1

Seq Scan on datas_part_0000009388 (cost=0.00..24.80 rows=80 width=665) (actual time=0.017..0.626 rows=80 loops=1)

546. 0.663 0.663 ↑ 1.0 83 1

Seq Scan on datas_part_0000009395 (cost=0.00..27.83 rows=83 width=657) (actual time=0.021..0.663 rows=83 loops=1)

547. 0.574 0.574 ↑ 1.0 77 1

Seq Scan on datas_part_0000009397 (cost=0.00..23.77 rows=77 width=655) (actual time=0.018..0.574 rows=77 loops=1)

548. 0.552 0.552 ↑ 1.0 81 1

Seq Scan on datas_part_0000009398 (cost=0.00..23.81 rows=81 width=658) (actual time=0.017..0.552 rows=81 loops=1)

549. 0.817 0.817 ↑ 1.0 81 1

Seq Scan on datas_part_0000009399 (cost=0.00..33.81 rows=81 width=650) (actual time=0.015..0.817 rows=81 loops=1)

550. 0.768 0.768 ↑ 1.0 79 1

Seq Scan on datas_part_0000009400 (cost=0.00..29.79 rows=79 width=655) (actual time=0.017..0.768 rows=79 loops=1)

551. 0.712 0.712 ↑ 1.0 79 1

Seq Scan on datas_part_0000009401 (cost=0.00..25.79 rows=79 width=656) (actual time=0.030..0.712 rows=79 loops=1)

552. 0.647 0.647 ↑ 1.0 79 1

Seq Scan on datas_part_0000009402 (cost=0.00..25.79 rows=79 width=657) (actual time=0.017..0.647 rows=79 loops=1)

553. 0.590 0.590 ↑ 1.0 79 1

Seq Scan on datas_part_0000009403 (cost=0.00..24.79 rows=79 width=657) (actual time=0.015..0.590 rows=79 loops=1)

554. 0.520 0.520 ↑ 1.0 79 1

Seq Scan on datas_part_0000009404 (cost=0.00..19.79 rows=79 width=657) (actual time=0.023..0.520 rows=79 loops=1)

555. 0.557 0.557 ↑ 1.0 79 1

Seq Scan on datas_part_0000009405 (cost=0.00..24.79 rows=79 width=657) (actual time=0.014..0.557 rows=79 loops=1)

556. 0.661 0.661 ↑ 1.0 79 1

Seq Scan on datas_part_0000009406 (cost=0.00..24.79 rows=79 width=657) (actual time=0.017..0.661 rows=79 loops=1)

557. 0.605 0.605 ↑ 1.0 77 1

Seq Scan on datas_part_0000009408 (cost=0.00..23.77 rows=77 width=655) (actual time=0.016..0.605 rows=77 loops=1)

558. 0.649 0.649 ↑ 1.0 83 1

Seq Scan on datas_part_0000009409 (cost=0.00..26.83 rows=83 width=657) (actual time=0.015..0.649 rows=83 loops=1)

559. 0.842 0.842 ↑ 1.0 77 1

Seq Scan on datas_part_0000009410 (cost=0.00..28.77 rows=77 width=655) (actual time=0.016..0.842 rows=77 loops=1)

560. 0.581 0.581 ↑ 1.0 81 1

Seq Scan on datas_part_0000009411 (cost=0.00..24.81 rows=81 width=655) (actual time=0.017..0.581 rows=81 loops=1)

561. 0.713 0.713 ↑ 1.0 81 1

Seq Scan on datas_part_0000009412 (cost=0.00..25.81 rows=81 width=655) (actual time=0.015..0.713 rows=81 loops=1)

562. 0.871 0.871 ↑ 1.0 81 1

Seq Scan on datas_part_0000009421 (cost=0.00..30.81 rows=81 width=657) (actual time=0.023..0.871 rows=81 loops=1)

563. 0.843 0.843 ↑ 1.0 81 1

Seq Scan on datas_part_0000009422 (cost=0.00..32.81 rows=81 width=658) (actual time=0.019..0.843 rows=81 loops=1)

564. 0.632 0.632 ↑ 1.0 81 1

Seq Scan on datas_part_0000009423 (cost=0.00..24.81 rows=81 width=656) (actual time=0.019..0.632 rows=81 loops=1)

565. 0.572 0.572 ↑ 1.0 81 1

Seq Scan on datas_part_0000009424 (cost=0.00..23.81 rows=81 width=650) (actual time=0.016..0.572 rows=81 loops=1)

566. 0.709 0.709 ↑ 1.0 81 1

Seq Scan on datas_part_0000009426 (cost=0.00..26.81 rows=81 width=650) (actual time=0.017..0.709 rows=81 loops=1)

567. 0.761 0.761 ↑ 1.0 81 1

Seq Scan on datas_part_0000009427 (cost=0.00..26.81 rows=81 width=655) (actual time=0.017..0.761 rows=81 loops=1)

568. 0.771 0.771 ↑ 1.0 81 1

Seq Scan on datas_part_0000009428 (cost=0.00..30.81 rows=81 width=658) (actual time=0.019..0.771 rows=81 loops=1)

569. 0.658 0.658 ↑ 1.0 81 1

Seq Scan on datas_part_0000009429 (cost=0.00..26.81 rows=81 width=656) (actual time=0.016..0.658 rows=81 loops=1)

570. 0.557 0.557 ↑ 1.0 81 1

Seq Scan on datas_part_0000009431 (cost=0.00..22.81 rows=81 width=659) (actual time=0.020..0.557 rows=81 loops=1)

571. 0.743 0.743 ↑ 1.0 81 1

Seq Scan on datas_part_0000009437 (cost=0.00..27.81 rows=81 width=656) (actual time=0.016..0.743 rows=81 loops=1)

572. 0.620 0.620 ↑ 1.0 79 1

Seq Scan on datas_part_0000009438 (cost=0.00..24.79 rows=79 width=653) (actual time=0.019..0.620 rows=79 loops=1)

573. 0.553 0.553 ↑ 1.0 83 1

Seq Scan on datas_part_0000009439 (cost=0.00..22.83 rows=83 width=657) (actual time=0.017..0.553 rows=83 loops=1)

574. 0.757 0.757 ↑ 1.0 81 1

Seq Scan on datas_part_0000009440 (cost=0.00..29.81 rows=81 width=659) (actual time=0.015..0.757 rows=81 loops=1)

575. 0.893 0.893 ↑ 1.0 81 1

Seq Scan on datas_part_0000009441 (cost=0.00..31.81 rows=81 width=655) (actual time=0.017..0.893 rows=81 loops=1)

576. 0.641 0.641 ↑ 1.0 87 1

Seq Scan on datas_part_0000009442 (cost=0.00..25.87 rows=87 width=662) (actual time=0.020..0.641 rows=87 loops=1)

577. 0.711 0.711 ↑ 1.0 81 1

Seq Scan on datas_part_0000009443 (cost=0.00..26.81 rows=81 width=650) (actual time=0.017..0.711 rows=81 loops=1)

578. 0.601 0.601 ↑ 1.0 79 1

Seq Scan on datas_part_0000009444 (cost=0.00..23.79 rows=79 width=657) (actual time=0.023..0.601 rows=79 loops=1)

579. 0.735 0.735 ↑ 1.0 80 1

Seq Scan on datas_part_0000009448 (cost=0.00..22.80 rows=80 width=661) (actual time=0.015..0.735 rows=80 loops=1)

580. 0.971 0.971 ↑ 1.0 79 1

Seq Scan on datas_part_0000009449 (cost=0.00..41.79 rows=79 width=655) (actual time=0.016..0.971 rows=79 loops=1)

581. 0.724 0.724 ↑ 1.0 81 1

Seq Scan on datas_part_0000009450 (cost=0.00..28.81 rows=81 width=652) (actual time=0.021..0.724 rows=81 loops=1)

582. 0.692 0.692 ↑ 1.0 81 1

Seq Scan on datas_part_0000009451 (cost=0.00..25.81 rows=81 width=658) (actual time=0.020..0.692 rows=81 loops=1)

583. 0.634 0.634 ↑ 1.0 79 1

Seq Scan on datas_part_0000009452 (cost=0.00..25.79 rows=79 width=654) (actual time=0.016..0.634 rows=79 loops=1)

584. 0.293 0.293 ↑ 1.0 79 1

Seq Scan on datas_part_0000009453 (cost=0.00..17.79 rows=79 width=656) (actual time=0.015..0.293 rows=79 loops=1)

585. 0.644 0.644 ↑ 1.0 79 1

Seq Scan on datas_part_0000009454 (cost=0.00..24.79 rows=79 width=659) (actual time=0.015..0.644 rows=79 loops=1)

586. 0.822 0.822 ↑ 1.0 81 1

Seq Scan on datas_part_0000009455 (cost=0.00..31.81 rows=81 width=655) (actual time=0.016..0.822 rows=81 loops=1)

587. 0.686 0.686 ↑ 1.0 81 1

Seq Scan on datas_part_0000009456 (cost=0.00..25.81 rows=81 width=656) (actual time=0.023..0.686 rows=81 loops=1)

588. 0.627 0.627 ↑ 1.0 81 1

Seq Scan on datas_part_0000009457 (cost=0.00..24.81 rows=81 width=659) (actual time=0.017..0.627 rows=81 loops=1)

589. 1.731 1.731 ↑ 1.0 79 1

Index Scan using datas_part_0000009458_ideventtype_idx on datas_part_0000009458 (cost=0.14..56.42 rows=79 width=655) (actual time=0.168..1.731 rows=79 loops=1)

590. 0.839 0.839 ↑ 1.0 81 1

Seq Scan on datas_part_0000009459 (cost=0.00..30.81 rows=81 width=652) (actual time=0.019..0.839 rows=81 loops=1)

591. 0.687 0.687 ↑ 1.0 79 1

Seq Scan on datas_part_0000009460 (cost=0.00..22.79 rows=79 width=656) (actual time=0.018..0.687 rows=79 loops=1)

592. 0.717 0.717 ↑ 1.0 81 1

Seq Scan on datas_part_0000009461 (cost=0.00..28.81 rows=81 width=655) (actual time=0.017..0.717 rows=81 loops=1)

593. 0.705 0.705 ↑ 1.0 81 1

Seq Scan on datas_part_0000009462 (cost=0.00..26.81 rows=81 width=656) (actual time=0.018..0.705 rows=81 loops=1)

594. 0.588 0.588 ↑ 1.0 81 1

Seq Scan on datas_part_0000009463 (cost=0.00..25.81 rows=81 width=658) (actual time=0.017..0.588 rows=81 loops=1)

595. 0.694 0.694 ↑ 1.0 81 1

Seq Scan on datas_part_0000009464 (cost=0.00..27.81 rows=81 width=659) (actual time=0.023..0.694 rows=81 loops=1)

596. 0.715 0.715 ↑ 1.0 81 1

Seq Scan on datas_part_0000009465 (cost=0.00..27.81 rows=81 width=656) (actual time=0.020..0.715 rows=81 loops=1)

597. 0.631 0.631 ↑ 1.0 81 1

Seq Scan on datas_part_0000009466 (cost=0.00..24.81 rows=81 width=655) (actual time=0.018..0.631 rows=81 loops=1)

598. 0.613 0.613 ↑ 1.0 81 1

Seq Scan on datas_part_0000009467 (cost=0.00..26.81 rows=81 width=656) (actual time=0.015..0.613 rows=81 loops=1)

599. 0.572 0.572 ↑ 1.0 81 1

Seq Scan on datas_part_0000009468 (cost=0.00..23.81 rows=81 width=659) (actual time=0.017..0.572 rows=81 loops=1)

600. 0.589 0.589 ↑ 1.0 81 1

Seq Scan on datas_part_0000009469 (cost=0.00..23.81 rows=81 width=655) (actual time=0.016..0.589 rows=81 loops=1)

601. 0.683 0.683 ↑ 1.0 81 1

Seq Scan on datas_part_0000009470 (cost=0.00..26.81 rows=81 width=658) (actual time=0.015..0.683 rows=81 loops=1)

602. 0.683 0.683 ↑ 1.0 81 1

Seq Scan on datas_part_0000009472 (cost=0.00..26.81 rows=81 width=658) (actual time=0.016..0.683 rows=81 loops=1)

603. 0.509 0.509 ↑ 1.0 81 1

Seq Scan on datas_part_0000009473 (cost=0.00..19.81 rows=81 width=655) (actual time=0.022..0.509 rows=81 loops=1)

604. 0.535 0.535 ↑ 1.0 81 1

Seq Scan on datas_part_0000009474 (cost=0.00..25.81 rows=81 width=659) (actual time=0.016..0.535 rows=81 loops=1)

605. 0.556 0.556 ↑ 1.0 80 1

Seq Scan on datas_part_0000009475 (cost=0.00..23.80 rows=80 width=664) (actual time=0.017..0.556 rows=80 loops=1)

606. 0.532 0.532 ↑ 1.0 80 1

Seq Scan on datas_part_0000009476 (cost=0.00..30.80 rows=80 width=663) (actual time=0.015..0.532 rows=80 loops=1)

607. 0.593 0.593 ↑ 1.0 80 1

Seq Scan on datas_part_0000009477 (cost=0.00..24.80 rows=80 width=665) (actual time=0.017..0.593 rows=80 loops=1)

608. 0.672 0.672 ↑ 1.0 81 1

Seq Scan on datas_part_0000009479 (cost=0.00..25.81 rows=81 width=659) (actual time=0.014..0.672 rows=81 loops=1)

609. 0.619 0.619 ↑ 1.0 81 1

Seq Scan on datas_part_0000009480 (cost=0.00..23.81 rows=81 width=656) (actual time=0.032..0.619 rows=81 loops=1)

610. 0.654 0.654 ↑ 1.0 81 1

Seq Scan on datas_part_0000009481 (cost=0.00..24.81 rows=81 width=656) (actual time=0.016..0.654 rows=81 loops=1)

611. 0.511 0.511 ↑ 1.0 82 1

Seq Scan on datas_part_0000009482 (cost=0.00..19.82 rows=82 width=663) (actual time=0.022..0.511 rows=82 loops=1)

612. 1.093 1.093 ↑ 1.0 81 1

Seq Scan on datas_part_0000009483 (cost=0.00..47.81 rows=81 width=655) (actual time=0.013..1.093 rows=81 loops=1)

613. 0.475 0.475 ↑ 1.0 81 1

Seq Scan on datas_part_0000009484 (cost=0.00..24.81 rows=81 width=658) (actual time=0.023..0.475 rows=81 loops=1)

614. 0.555 0.555 ↑ 1.0 81 1

Seq Scan on datas_part_0000009485 (cost=0.00..23.81 rows=81 width=658) (actual time=0.017..0.555 rows=81 loops=1)

615. 0.846 0.846 ↑ 1.0 78 1

Seq Scan on datas_part_0000009486 (cost=0.00..32.78 rows=78 width=664) (actual time=0.016..0.846 rows=78 loops=1)

616. 0.573 0.573 ↑ 1.0 81 1

Seq Scan on datas_part_0000009487 (cost=0.00..23.81 rows=81 width=658) (actual time=0.008..0.573 rows=81 loops=1)

617. 0.721 0.721 ↑ 1.0 81 1

Seq Scan on datas_part_0000009488 (cost=0.00..28.81 rows=81 width=659) (actual time=0.007..0.721 rows=81 loops=1)

618. 0.787 0.787 ↑ 1.0 81 1

Seq Scan on datas_part_0000009489 (cost=0.00..29.81 rows=81 width=659) (actual time=0.008..0.787 rows=81 loops=1)

619. 0.635 0.635 ↑ 1.0 81 1

Seq Scan on datas_part_0000009490 (cost=0.00..25.81 rows=81 width=655) (actual time=0.013..0.635 rows=81 loops=1)

620. 0.704 0.704 ↑ 1.0 81 1

Seq Scan on datas_part_0000009491 (cost=0.00..26.81 rows=81 width=656) (actual time=0.006..0.704 rows=81 loops=1)

621. 0.629 0.629 ↑ 1.0 81 1

Seq Scan on datas_part_0000009492 (cost=0.00..24.81 rows=81 width=659) (actual time=0.006..0.629 rows=81 loops=1)

622. 0.690 0.690 ↑ 1.0 81 1

Seq Scan on datas_part_0000009493 (cost=0.00..28.81 rows=81 width=658) (actual time=0.007..0.690 rows=81 loops=1)

623. 0.549 0.549 ↑ 1.0 81 1

Seq Scan on datas_part_0000009494 (cost=0.00..23.81 rows=81 width=651) (actual time=0.007..0.549 rows=81 loops=1)

624. 0.623 0.623 ↑ 1.0 81 1

Seq Scan on datas_part_0000009495 (cost=0.00..24.81 rows=81 width=659) (actual time=0.006..0.623 rows=81 loops=1)

625. 0.299 0.299 ↑ 1.0 81 1

Seq Scan on datas_part_0000009496 (cost=0.00..17.81 rows=81 width=652) (actual time=0.006..0.299 rows=81 loops=1)

626. 0.584 0.584 ↑ 1.0 81 1

Seq Scan on datas_part_0000009497 (cost=0.00..23.81 rows=81 width=656) (actual time=0.007..0.584 rows=81 loops=1)

627. 0.509 0.509 ↑ 1.0 81 1

Seq Scan on datas_part_0000009498 (cost=0.00..21.81 rows=81 width=658) (actual time=0.016..0.509 rows=81 loops=1)

628. 0.724 0.724 ↑ 1.0 81 1

Seq Scan on datas_part_0000009499 (cost=0.00..28.81 rows=81 width=658) (actual time=0.007..0.724 rows=81 loops=1)

629. 0.547 0.547 ↑ 1.0 81 1

Seq Scan on datas_part_0000009500 (cost=0.00..23.81 rows=81 width=656) (actual time=0.006..0.547 rows=81 loops=1)

630. 0.686 0.686 ↑ 1.0 83 1

Seq Scan on datas_part_0000009501 (cost=0.00..27.83 rows=83 width=656) (actual time=0.007..0.686 rows=83 loops=1)

631. 0.686 0.686 ↑ 1.0 81 1

Seq Scan on datas_part_0000009502 (cost=0.00..26.81 rows=81 width=653) (actual time=0.006..0.686 rows=81 loops=1)

632. 0.871 0.871 ↑ 1.0 81 1

Seq Scan on datas_part_0000009503 (cost=0.00..34.81 rows=81 width=658) (actual time=0.006..0.871 rows=81 loops=1)

633. 0.652 0.652 ↑ 1.0 83 1

Seq Scan on datas_part_0000009504 (cost=0.00..26.83 rows=83 width=657) (actual time=0.007..0.652 rows=83 loops=1)

634. 0.685 0.685 ↑ 1.0 79 1

Seq Scan on datas_part_0000009505 (cost=0.00..25.79 rows=79 width=655) (actual time=0.006..0.685 rows=79 loops=1)

635. 0.692 0.692 ↑ 1.0 81 1

Seq Scan on datas_part_0000009506 (cost=0.00..27.81 rows=81 width=656) (actual time=0.012..0.692 rows=81 loops=1)

636. 0.522 0.522 ↑ 1.0 83 1

Seq Scan on datas_part_0000009507 (cost=0.00..23.83 rows=83 width=658) (actual time=0.007..0.522 rows=83 loops=1)

637. 0.760 0.760 ↑ 1.0 79 1

Seq Scan on datas_part_0000009508 (cost=0.00..29.79 rows=79 width=654) (actual time=0.007..0.760 rows=79 loops=1)

638. 0.522 0.522 ↑ 1.0 83 1

Seq Scan on datas_part_0000009510 (cost=0.00..20.83 rows=83 width=657) (actual time=0.007..0.522 rows=83 loops=1)

639. 0.740 0.740 ↑ 1.0 81 1

Seq Scan on datas_part_0000009511 (cost=0.00..26.81 rows=81 width=655) (actual time=0.018..0.740 rows=81 loops=1)

640. 0.645 0.645 ↑ 1.0 81 1

Seq Scan on datas_part_0000009512 (cost=0.00..23.81 rows=81 width=658) (actual time=0.007..0.645 rows=81 loops=1)

641. 0.510 0.510 ↑ 1.0 81 1

Seq Scan on datas_part_0000009513 (cost=0.00..16.81 rows=81 width=658) (actual time=0.006..0.510 rows=81 loops=1)

642. 0.640 0.640 ↑ 1.0 81 1

Seq Scan on datas_part_0000009514 (cost=0.00..24.81 rows=81 width=654) (actual time=0.007..0.640 rows=81 loops=1)

643. 0.562 0.562 ↑ 1.0 78 1

Seq Scan on datas_part_0000009515 (cost=0.00..23.78 rows=78 width=664) (actual time=0.011..0.562 rows=78 loops=1)

644. 0.560 0.560 ↑ 1.0 78 1

Seq Scan on datas_part_0000009516 (cost=0.00..22.78 rows=78 width=664) (actual time=0.006..0.560 rows=78 loops=1)

645. 0.763 0.763 ↑ 1.0 83 1

Seq Scan on datas_part_0000009517 (cost=0.00..27.83 rows=83 width=657) (actual time=0.006..0.763 rows=83 loops=1)

646. 0.651 0.651 ↑ 1.0 76 1

Seq Scan on datas_part_0000009519 (cost=0.00..26.76 rows=76 width=663) (actual time=0.007..0.651 rows=76 loops=1)

647. 0.835 0.835 ↑ 1.0 81 1

Seq Scan on datas_part_0000009520 (cost=0.00..32.81 rows=81 width=653) (actual time=0.006..0.835 rows=81 loops=1)

648. 0.635 0.635 ↑ 1.0 79 1

Seq Scan on datas_part_0000009521 (cost=0.00..23.79 rows=79 width=654) (actual time=0.007..0.635 rows=79 loops=1)

649. 0.662 0.662 ↑ 1.0 79 1

Seq Scan on datas_part_0000009522 (cost=0.00..25.79 rows=79 width=657) (actual time=0.007..0.662 rows=79 loops=1)

650. 0.562 0.562 ↑ 1.0 79 1

Seq Scan on datas_part_0000009523 (cost=0.00..24.79 rows=79 width=654) (actual time=0.007..0.562 rows=79 loops=1)

651. 1.772 1.772 ↑ 1.0 81 1

Index Scan using datas_part_0000009524_ideventtype_idx on datas_part_0000009524 (cost=0.14..59.35 rows=81 width=658) (actual time=0.167..1.772 rows=81 loops=1)

652. 0.636 0.636 ↑ 1.0 79 1

Seq Scan on datas_part_0000009525 (cost=0.00..26.79 rows=79 width=654) (actual time=0.008..0.636 rows=79 loops=1)

653. 0.688 0.688 ↑ 1.0 79 1

Seq Scan on datas_part_0000009526 (cost=0.00..26.79 rows=79 width=654) (actual time=0.007..0.688 rows=79 loops=1)

654. 0.496 0.496 ↑ 1.0 79 1

Seq Scan on datas_part_0000009527 (cost=0.00..22.79 rows=79 width=655) (actual time=0.007..0.496 rows=79 loops=1)

655. 0.606 0.606 ↑ 1.0 81 1

Seq Scan on datas_part_0000009528 (cost=0.00..23.81 rows=81 width=655) (actual time=0.006..0.606 rows=81 loops=1)

656. 0.572 0.572 ↑ 1.0 83 1

Seq Scan on datas_part_0000009529 (cost=0.00..23.83 rows=83 width=656) (actual time=0.006..0.572 rows=83 loops=1)

657. 0.590 0.590 ↑ 1.0 76 1

Seq Scan on datas_part_0000009530 (cost=0.00..24.76 rows=76 width=662) (actual time=0.007..0.590 rows=76 loops=1)

658. 0.664 0.664 ↑ 1.0 81 1

Seq Scan on datas_part_0000009531 (cost=0.00..24.81 rows=81 width=656) (actual time=0.012..0.664 rows=81 loops=1)

659. 0.657 0.657 ↑ 1.0 81 1

Seq Scan on datas_part_0000009532 (cost=0.00..26.81 rows=81 width=656) (actual time=0.008..0.657 rows=81 loops=1)

660. 0.830 0.830 ↑ 1.0 76 1

Seq Scan on datas_part_0000009533 (cost=0.00..30.76 rows=76 width=663) (actual time=0.006..0.830 rows=76 loops=1)

661. 0.706 0.706 ↑ 1.0 76 1

Seq Scan on datas_part_0000009534 (cost=0.00..27.76 rows=76 width=662) (actual time=0.008..0.706 rows=76 loops=1)

662. 0.556 0.556 ↑ 1.0 76 1

Seq Scan on datas_part_0000009535 (cost=0.00..23.76 rows=76 width=660) (actual time=0.007..0.556 rows=76 loops=1)

663. 0.557 0.557 ↑ 1.0 81 1

Seq Scan on datas_part_0000009536 (cost=0.00..23.81 rows=81 width=655) (actual time=0.007..0.557 rows=81 loops=1)

664. 0.006 0.006 ↓ 2.0 2 1

Seq Scan on datas_part_default_tab (cost=0.00..1.01 rows=1 width=677) (actual time=0.006..0.006 rows=2 loops=1)

665. 0.014 0.493 ↑ 1.0 2 1

Hash (cost=1.02..1.02 rows=2 width=41) (actual time=0.492..0.493 rows=2 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 9kB
666. 0.479 0.479 ↑ 1.0 2 1

Seq Scan on reception_modes (cost=0.00..1.02 rows=2 width=41) (actual time=0.477..0.479 rows=2 loops=1)

667. 0.000 0.000 ↑ 4.2 4 52,662

Materialize (cost=0.00..1.25 rows=17 width=73) (actual time=0.000..0.000 rows=4 loops=52,662)

668. 0.023 0.023 ↑ 1.0 17 1

Seq Scan on statustypes (cost=0.00..1.17 rows=17 width=73) (actual time=0.018..0.023 rows=17 loops=1)

669. 105.324 105.324 ↑ 1.0 1 52,662

Index Scan using index_idaccount_idaccountstate on accounts (cost=0.28..0.30 rows=1 width=49) (actual time=0.002..0.002 rows=1 loops=52,662)

  • Index Cond: (idaccount = datas_part_0000008825.idaccount)
670. 0.000 0.000 ↑ 1.0 4 52,662

Materialize (cost=0.00..1.06 rows=4 width=40) (actual time=0.000..0.000 rows=4 loops=52,662)

671. 0.456 0.456 ↑ 1.0 4 1

Seq Scan on account_states (cost=0.00..1.04 rows=4 width=40) (actual time=0.455..0.456 rows=4 loops=1)

672.          

SubPlan (forNested Loop)

673. 52.662 210.648 ↑ 2.0 1 52,662

Result (cost=0.00..2.54 rows=2 width=32) (actual time=0.003..0.004 rows=1 loops=52,662)

674. 52.662 157.986 ↑ 2.0 1 52,662

Append (cost=0.00..2.50 rows=2 width=79) (actual time=0.003..0.003 rows=1 loops=52,662)

675. 0.000 0.000 ↓ 0.0 0 52,662

Seq Scan on equipments (cost=0.00..0.00 rows=1 width=96) (actual time=0.000..0.000 rows=0 loops=52,662)

  • Filter: (idequipment = datas_part_0000008825.idequipment)
676. 105.324 105.324 ↑ 1.0 1 52,662

Index Scan using network_devices_2_pkey on network_devices (cost=0.28..2.49 rows=1 width=62) (actual time=0.002..0.002 rows=1 loops=52,662)

  • Index Cond: (idequipment = datas_part_0000008825.idequipment)
Planning time : 5,951.667 ms