explain.depesz.com

PostgreSQL's explain analyze made readable

Result: ev6g

Settings
# exclusive inclusive rows x rows loops node
1. 135.045 3,554.813 ↓ 1,504.6 52,661 1

Nested Loop (cost=1.32..18,544.94 rows=35 width=922) (actual time=1,023.051..3,554.813 rows=52,661 loops=1)

  • Join Filter: (accounts.idaccountstate = account_states.idaccountstate)
  • Rows Removed by Join Filter: 157983
2. 57.021 3,261.785 ↓ 1,504.6 52,661 1

Nested Loop (cost=1.32..18,452.95 rows=35 width=826) (actual time=1,022.972..3,261.785 rows=52,661 loops=1)

3. 829.823 3,152.103 ↓ 1,504.6 52,661 1

Nested Loop (cost=1.04..18,442.36 rows=35 width=785) (actual time=1,022.924..3,152.103 rows=52,661 loops=1)

  • Join Filter: (datas_part_0000008825.ideventtype = eventtypes.ideventtype)
  • Rows Removed by Join Filter: 8162455
4. 0.220 0.220 ↑ 1.0 156 1

Seq Scan on eventtypes (cost=0.00..6.56 rows=156 width=39) (actual time=0.015..0.220 rows=156 loops=1)

5. 2,206.193 2,322.060 ↓ 1,170.2 52,661 156

Materialize (cost=1.04..18,330.61 rows=45 width=754) (actual time=0.004..14.885 rows=52,661 loops=156)

6. 49.374 115.867 ↓ 1,170.2 52,661 1

Nested Loop (cost=1.04..18,330.39 rows=45 width=754) (actual time=0.089..115.867 rows=52,661 loops=1)

  • Join Filter: (datas_part_0000008825.idstatustype = statustypes.idstatustype)
  • Rows Removed by Join Filter: 158836
7. 17.354 66.493 ↓ 99.9 52,661 1

Hash Join (cost=1.04..18,195.47 rows=527 width=689) (actual time=0.074..66.493 rows=52,661 loops=1)

  • Hash Cond: (datas_part_0000008825.idreceptionmode = reception_modes.idreceptionmode)
8. 5.864 49.126 ↓ 1.0 52,661 1

Append (cost=0.00..18,053.28 rows=52,655 width=656) (actual time=0.039..49.126 rows=52,661 loops=1)

9. 0.104 0.104 ↑ 1.0 81 1

Seq Scan on datas_part_0000008825 (cost=0.00..30.81 rows=81 width=655) (actual time=0.038..0.104 rows=81 loops=1)

10. 0.098 0.098 ↑ 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=0.017..0.098 rows=81 loops=1)

11. 0.069 0.069 ↑ 1.0 81 1

Seq Scan on datas_part_0000008827 (cost=0.00..24.81 rows=81 width=656) (actual time=0.012..0.069 rows=81 loops=1)

12. 0.064 0.064 ↑ 1.0 81 1

Seq Scan on datas_part_0000008828 (cost=0.00..23.81 rows=81 width=650) (actual time=0.009..0.064 rows=81 loops=1)

13. 0.065 0.065 ↑ 1.0 81 1

Seq Scan on datas_part_0000008829 (cost=0.00..24.81 rows=81 width=648) (actual time=0.011..0.065 rows=81 loops=1)

14. 0.065 0.065 ↑ 1.0 81 1

Seq Scan on datas_part_0000008830 (cost=0.00..25.81 rows=81 width=656) (actual time=0.008..0.065 rows=81 loops=1)

15. 0.062 0.062 ↑ 1.0 81 1

Seq Scan on datas_part_0000008831 (cost=0.00..21.81 rows=81 width=656) (actual time=0.010..0.062 rows=81 loops=1)

16. 0.059 0.059 ↑ 1.0 81 1

Seq Scan on datas_part_0000008832 (cost=0.00..24.81 rows=81 width=655) (actual time=0.009..0.059 rows=81 loops=1)

17. 0.066 0.066 ↑ 1.0 81 1

Seq Scan on datas_part_0000008833 (cost=0.00..27.81 rows=81 width=656) (actual time=0.009..0.066 rows=81 loops=1)

18. 0.068 0.068 ↑ 1.0 81 1

Seq Scan on datas_part_0000008834 (cost=0.00..29.81 rows=81 width=656) (actual time=0.011..0.068 rows=81 loops=1)

19. 0.063 0.063 ↑ 1.0 81 1

Seq Scan on datas_part_0000008835 (cost=0.00..21.81 rows=81 width=649) (actual time=0.010..0.063 rows=81 loops=1)

20. 0.065 0.065 ↑ 1.0 81 1

Seq Scan on datas_part_0000008836 (cost=0.00..31.81 rows=81 width=649) (actual time=0.009..0.065 rows=81 loops=1)

21. 0.079 0.079 ↑ 1.0 81 1

Seq Scan on datas_part_0000008837 (cost=0.00..30.81 rows=81 width=658) (actual time=0.010..0.079 rows=81 loops=1)

22. 0.067 0.067 ↑ 1.0 81 1

Seq Scan on datas_part_0000008838 (cost=0.00..24.81 rows=81 width=656) (actual time=0.012..0.067 rows=81 loops=1)

23. 0.070 0.070 ↑ 1.0 81 1

Seq Scan on datas_part_0000008839 (cost=0.00..23.81 rows=81 width=655) (actual time=0.009..0.070 rows=81 loops=1)

24. 0.080 0.080 ↑ 1.0 79 1

Seq Scan on datas_part_0000008840 (cost=0.00..24.79 rows=79 width=649) (actual time=0.023..0.080 rows=79 loops=1)

25. 0.060 0.060 ↑ 1.0 79 1

Seq Scan on datas_part_0000008841 (cost=0.00..21.79 rows=79 width=650) (actual time=0.009..0.060 rows=79 loops=1)

26. 0.063 0.063 ↑ 1.0 79 1

Seq Scan on datas_part_0000008842 (cost=0.00..28.79 rows=79 width=650) (actual time=0.010..0.063 rows=79 loops=1)

27. 0.062 0.062 ↑ 1.0 81 1

Seq Scan on datas_part_0000008843 (cost=0.00..25.81 rows=81 width=658) (actual time=0.010..0.062 rows=81 loops=1)

28. 0.062 0.062 ↑ 1.0 83 1

Seq Scan on datas_part_0000008844 (cost=0.00..25.83 rows=83 width=658) (actual time=0.009..0.062 rows=83 loops=1)

29. 0.059 0.059 ↑ 1.0 81 1

Seq Scan on datas_part_0000008846 (cost=0.00..25.81 rows=81 width=656) (actual time=0.009..0.059 rows=81 loops=1)

30. 0.060 0.060 ↑ 1.0 83 1

Seq Scan on datas_part_0000008847 (cost=0.00..32.83 rows=83 width=658) (actual time=0.008..0.060 rows=83 loops=1)

31. 0.055 0.055 ↑ 1.0 81 1

Seq Scan on datas_part_0000008848 (cost=0.00..20.81 rows=81 width=658) (actual time=0.009..0.055 rows=81 loops=1)

32. 0.061 0.061 ↑ 1.0 82 1

Seq Scan on datas_part_0000008849 (cost=0.00..23.82 rows=82 width=662) (actual time=0.009..0.061 rows=82 loops=1)

33. 0.059 0.059 ↑ 1.0 83 1

Seq Scan on datas_part_0000008850 (cost=0.00..29.83 rows=83 width=657) (actual time=0.009..0.059 rows=83 loops=1)

34. 0.062 0.062 ↑ 1.0 83 1

Seq Scan on datas_part_0000008851 (cost=0.00..26.83 rows=83 width=657) (actual time=0.009..0.062 rows=83 loops=1)

35. 0.062 0.062 ↑ 1.0 81 1

Seq Scan on datas_part_0000008853 (cost=0.00..18.81 rows=81 width=656) (actual time=0.012..0.062 rows=81 loops=1)

36. 0.063 0.063 ↑ 1.0 81 1

Seq Scan on datas_part_0000008854 (cost=0.00..30.81 rows=81 width=656) (actual time=0.009..0.063 rows=81 loops=1)

37. 0.065 0.065 ↑ 1.0 83 1

Seq Scan on datas_part_0000008855 (cost=0.00..29.83 rows=83 width=658) (actual time=0.014..0.065 rows=83 loops=1)

38. 0.065 0.065 ↑ 1.0 83 1

Seq Scan on datas_part_0000008856 (cost=0.00..31.83 rows=83 width=656) (actual time=0.009..0.065 rows=83 loops=1)

39. 0.061 0.061 ↑ 1.0 83 1

Seq Scan on datas_part_0000008857 (cost=0.00..25.83 rows=83 width=658) (actual time=0.009..0.061 rows=83 loops=1)

40. 0.061 0.061 ↑ 1.0 83 1

Seq Scan on datas_part_0000008858 (cost=0.00..29.83 rows=83 width=657) (actual time=0.008..0.061 rows=83 loops=1)

41. 0.062 0.062 ↑ 1.0 83 1

Seq Scan on datas_part_0000008860 (cost=0.00..26.83 rows=83 width=655) (actual time=0.009..0.062 rows=83 loops=1)

42. 0.059 0.059 ↑ 1.0 83 1

Seq Scan on datas_part_0000008861 (cost=0.00..23.83 rows=83 width=657) (actual time=0.009..0.059 rows=83 loops=1)

43. 0.054 0.054 ↑ 1.0 81 1

Seq Scan on datas_part_0000008863 (cost=0.00..19.81 rows=81 width=653) (actual time=0.009..0.054 rows=81 loops=1)

44. 0.075 0.075 ↑ 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=0.011..0.075 rows=76 loops=1)

45. 0.063 0.063 ↑ 1.0 83 1

Seq Scan on datas_part_0000008865 (cost=0.00..29.83 rows=83 width=658) (actual time=0.010..0.063 rows=83 loops=1)

46. 0.060 0.060 ↑ 1.0 83 1

Seq Scan on datas_part_0000008866 (cost=0.00..27.83 rows=83 width=657) (actual time=0.009..0.060 rows=83 loops=1)

47. 0.058 0.058 ↑ 1.0 81 1

Seq Scan on datas_part_0000008867 (cost=0.00..23.81 rows=81 width=658) (actual time=0.009..0.058 rows=81 loops=1)

48. 0.057 0.057 ↑ 1.0 81 1

Seq Scan on datas_part_0000008868 (cost=0.00..26.81 rows=81 width=659) (actual time=0.008..0.057 rows=81 loops=1)

49. 0.062 0.062 ↑ 1.0 83 1

Seq Scan on datas_part_0000008869 (cost=0.00..24.83 rows=83 width=658) (actual time=0.010..0.062 rows=83 loops=1)

50. 0.059 0.059 ↑ 1.0 83 1

Seq Scan on datas_part_0000008870 (cost=0.00..20.83 rows=83 width=656) (actual time=0.011..0.059 rows=83 loops=1)

51. 0.064 0.064 ↑ 1.0 83 1

Seq Scan on datas_part_0000008871 (cost=0.00..24.83 rows=83 width=658) (actual time=0.011..0.064 rows=83 loops=1)

52. 0.067 0.067 ↑ 1.0 83 1

Seq Scan on datas_part_0000008872 (cost=0.00..30.83 rows=83 width=656) (actual time=0.010..0.067 rows=83 loops=1)

53. 0.058 0.058 ↑ 1.0 83 1

Seq Scan on datas_part_0000008873 (cost=0.00..19.83 rows=83 width=657) (actual time=0.010..0.058 rows=83 loops=1)

54. 0.157 0.157 ↑ 1.0 83 1

Seq Scan on datas_part_0000008874 (cost=0.00..27.83 rows=83 width=658) (actual time=0.064..0.157 rows=83 loops=1)

55. 0.064 0.064 ↑ 1.0 83 1

Seq Scan on datas_part_0000008875 (cost=0.00..23.83 rows=83 width=657) (actual time=0.013..0.064 rows=83 loops=1)

56. 0.063 0.063 ↑ 1.0 83 1

Seq Scan on datas_part_0000008876 (cost=0.00..24.83 rows=83 width=657) (actual time=0.009..0.063 rows=83 loops=1)

57. 0.063 0.063 ↑ 1.0 83 1

Seq Scan on datas_part_0000008877 (cost=0.00..23.83 rows=83 width=658) (actual time=0.008..0.063 rows=83 loops=1)

58. 0.081 0.081 ↑ 1.0 83 1

Seq Scan on datas_part_0000008878 (cost=0.00..22.83 rows=83 width=657) (actual time=0.011..0.081 rows=83 loops=1)

59. 0.085 0.085 ↑ 1.0 83 1

Seq Scan on datas_part_0000008879 (cost=0.00..21.83 rows=83 width=658) (actual time=0.029..0.085 rows=83 loops=1)

60. 0.070 0.070 ↑ 1.0 82 1

Seq Scan on datas_part_0000008880 (cost=0.00..27.82 rows=82 width=663) (actual time=0.010..0.070 rows=82 loops=1)

61. 0.063 0.063 ↑ 1.0 82 1

Seq Scan on datas_part_0000008881 (cost=0.00..22.82 rows=82 width=663) (actual time=0.009..0.063 rows=82 loops=1)

62. 0.064 0.064 ↑ 1.0 83 1

Seq Scan on datas_part_0000008882 (cost=0.00..24.83 rows=83 width=656) (actual time=0.009..0.064 rows=83 loops=1)

63. 0.064 0.064 ↑ 1.0 81 1

Seq Scan on datas_part_0000008883 (cost=0.00..23.81 rows=81 width=656) (actual time=0.009..0.064 rows=81 loops=1)

64. 0.065 0.065 ↑ 1.0 81 1

Seq Scan on datas_part_0000008884 (cost=0.00..25.81 rows=81 width=658) (actual time=0.009..0.065 rows=81 loops=1)

65. 0.066 0.066 ↑ 1.0 81 1

Seq Scan on datas_part_0000008885 (cost=0.00..24.81 rows=81 width=654) (actual time=0.011..0.066 rows=81 loops=1)

66. 0.065 0.065 ↑ 1.0 81 1

Seq Scan on datas_part_0000008886 (cost=0.00..25.81 rows=81 width=655) (actual time=0.009..0.065 rows=81 loops=1)

67. 0.064 0.064 ↑ 1.0 81 1

Seq Scan on datas_part_0000008887 (cost=0.00..22.81 rows=81 width=657) (actual time=0.010..0.064 rows=81 loops=1)

68. 0.077 0.077 ↑ 1.0 81 1

Seq Scan on datas_part_0000008888 (cost=0.00..52.81 rows=81 width=656) (actual time=0.009..0.077 rows=81 loops=1)

69. 0.059 0.059 ↑ 1.0 81 1

Seq Scan on datas_part_0000008889 (cost=0.00..22.81 rows=81 width=655) (actual time=0.010..0.059 rows=81 loops=1)

70. 0.063 0.063 ↑ 1.0 81 1

Seq Scan on datas_part_0000008890 (cost=0.00..27.81 rows=81 width=650) (actual time=0.010..0.063 rows=81 loops=1)

71. 0.065 0.065 ↑ 1.0 81 1

Seq Scan on datas_part_0000008891 (cost=0.00..24.81 rows=81 width=656) (actual time=0.010..0.065 rows=81 loops=1)

72. 0.066 0.066 ↑ 1.0 81 1

Seq Scan on datas_part_0000008892 (cost=0.00..26.81 rows=81 width=655) (actual time=0.013..0.066 rows=81 loops=1)

73. 0.061 0.061 ↑ 1.0 81 1

Seq Scan on datas_part_0000008893 (cost=0.00..24.81 rows=81 width=656) (actual time=0.009..0.061 rows=81 loops=1)

74. 0.063 0.063 ↑ 1.0 81 1

Seq Scan on datas_part_0000008894 (cost=0.00..27.81 rows=81 width=656) (actual time=0.009..0.063 rows=81 loops=1)

75. 0.060 0.060 ↑ 1.0 81 1

Seq Scan on datas_part_0000008895 (cost=0.00..22.81 rows=81 width=658) (actual time=0.009..0.060 rows=81 loops=1)

76. 0.067 0.067 ↑ 1.0 81 1

Seq Scan on datas_part_0000008896 (cost=0.00..29.81 rows=81 width=649) (actual time=0.009..0.067 rows=81 loops=1)

77. 0.060 0.060 ↑ 1.0 81 1

Seq Scan on datas_part_0000008897 (cost=0.00..19.81 rows=81 width=656) (actual time=0.010..0.060 rows=81 loops=1)

78. 0.062 0.062 ↑ 1.0 81 1

Seq Scan on datas_part_0000008898 (cost=0.00..24.81 rows=81 width=656) (actual time=0.009..0.062 rows=81 loops=1)

79. 0.061 0.061 ↑ 1.0 81 1

Seq Scan on datas_part_0000008899 (cost=0.00..24.81 rows=81 width=656) (actual time=0.010..0.061 rows=81 loops=1)

80. 0.092 0.092 ↑ 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=0.019..0.092 rows=81 loops=1)

81. 0.064 0.064 ↑ 1.0 80 1

Seq Scan on datas_part_0000008901 (cost=0.00..25.80 rows=80 width=664) (actual time=0.013..0.064 rows=80 loops=1)

82. 0.066 0.066 ↑ 1.0 81 1

Seq Scan on datas_part_0000008902 (cost=0.00..29.81 rows=81 width=658) (actual time=0.010..0.066 rows=81 loops=1)

83. 0.063 0.063 ↑ 1.0 81 1

Seq Scan on datas_part_0000008904 (cost=0.00..25.81 rows=81 width=658) (actual time=0.009..0.063 rows=81 loops=1)

84. 0.056 0.056 ↑ 1.0 81 1

Seq Scan on datas_part_0000008905 (cost=0.00..17.81 rows=81 width=656) (actual time=0.009..0.056 rows=81 loops=1)

85. 0.123 0.123 ↑ 1.0 81 1

Seq Scan on datas_part_0000008906 (cost=0.00..28.81 rows=81 width=658) (actual time=0.009..0.123 rows=81 loops=1)

86. 0.185 0.185 ↑ 1.0 81 1

Seq Scan on datas_part_0000008907 (cost=0.00..24.81 rows=81 width=656) (actual time=0.026..0.185 rows=81 loops=1)

87. 0.144 0.144 ↑ 1.0 81 1

Seq Scan on datas_part_0000008908 (cost=0.00..26.81 rows=81 width=658) (actual time=0.021..0.144 rows=81 loops=1)

88. 0.148 0.148 ↑ 1.0 81 1

Seq Scan on datas_part_0000008909 (cost=0.00..29.81 rows=81 width=648) (actual time=0.018..0.148 rows=81 loops=1)

89. 0.129 0.129 ↑ 1.0 81 1

Seq Scan on datas_part_0000008910 (cost=0.00..19.81 rows=81 width=656) (actual time=0.019..0.129 rows=81 loops=1)

90. 0.155 0.155 ↑ 1.0 81 1

Seq Scan on datas_part_0000008911 (cost=0.00..40.81 rows=81 width=658) (actual time=0.019..0.155 rows=81 loops=1)

91. 0.175 0.175 ↑ 1.0 81 1

Seq Scan on datas_part_0000008912 (cost=0.00..25.81 rows=81 width=650) (actual time=0.020..0.175 rows=81 loops=1)

92. 0.063 0.063 ↑ 1.0 81 1

Seq Scan on datas_part_0000008913 (cost=0.00..25.81 rows=81 width=658) (actual time=0.010..0.063 rows=81 loops=1)

93. 0.064 0.064 ↑ 1.0 81 1

Seq Scan on datas_part_0000008914 (cost=0.00..27.81 rows=81 width=656) (actual time=0.009..0.064 rows=81 loops=1)

94. 0.089 0.089 ↑ 1.0 81 1

Seq Scan on datas_part_0000008915 (cost=0.00..24.81 rows=81 width=658) (actual time=0.037..0.089 rows=81 loops=1)

95. 0.059 0.059 ↑ 1.0 81 1

Seq Scan on datas_part_0000008917 (cost=0.00..23.81 rows=81 width=654) (actual time=0.009..0.059 rows=81 loops=1)

96. 0.057 0.057 ↑ 1.0 81 1

Seq Scan on datas_part_0000008919 (cost=0.00..17.81 rows=81 width=649) (actual time=0.009..0.057 rows=81 loops=1)

97. 0.063 0.063 ↑ 1.0 81 1

Seq Scan on datas_part_0000008920 (cost=0.00..25.81 rows=81 width=656) (actual time=0.009..0.063 rows=81 loops=1)

98. 0.062 0.062 ↑ 1.0 81 1

Seq Scan on datas_part_0000008921 (cost=0.00..24.81 rows=81 width=656) (actual time=0.009..0.062 rows=81 loops=1)

99. 0.064 0.064 ↑ 1.0 81 1

Seq Scan on datas_part_0000008922 (cost=0.00..30.81 rows=81 width=658) (actual time=0.010..0.064 rows=81 loops=1)

100. 0.067 0.067 ↑ 1.0 81 1

Seq Scan on datas_part_0000008923 (cost=0.00..27.81 rows=81 width=654) (actual time=0.009..0.067 rows=81 loops=1)

101. 0.065 0.065 ↑ 1.0 81 1

Seq Scan on datas_part_0000008924 (cost=0.00..27.81 rows=81 width=656) (actual time=0.009..0.065 rows=81 loops=1)

102. 0.065 0.065 ↑ 1.0 81 1

Seq Scan on datas_part_0000008925 (cost=0.00..25.81 rows=81 width=658) (actual time=0.009..0.065 rows=81 loops=1)

103. 0.051 0.051 ↓ 1.1 81 1

Seq Scan on datas_part_0000008926 (cost=0.00..8.75 rows=75 width=647) (actual time=0.010..0.051 rows=81 loops=1)

104. 0.063 0.063 ↑ 1.0 81 1

Seq Scan on datas_part_0000008927 (cost=0.00..24.81 rows=81 width=656) (actual time=0.009..0.063 rows=81 loops=1)

105. 0.125 0.125 ↑ 1.0 81 1

Seq Scan on datas_part_0000008928 (cost=0.00..27.81 rows=81 width=659) (actual time=0.009..0.125 rows=81 loops=1)

106. 0.067 0.067 ↑ 1.0 81 1

Seq Scan on datas_part_0000008929 (cost=0.00..23.81 rows=81 width=658) (actual time=0.013..0.067 rows=81 loops=1)

107. 0.063 0.063 ↑ 1.0 81 1

Seq Scan on datas_part_0000008930 (cost=0.00..24.81 rows=81 width=658) (actual time=0.010..0.063 rows=81 loops=1)

108. 0.063 0.063 ↑ 1.0 78 1

Seq Scan on datas_part_0000008931 (cost=0.00..24.78 rows=78 width=660) (actual time=0.009..0.063 rows=78 loops=1)

109. 0.065 0.065 ↑ 1.0 81 1

Seq Scan on datas_part_0000008932 (cost=0.00..26.81 rows=81 width=658) (actual time=0.010..0.065 rows=81 loops=1)

110. 0.061 0.061 ↑ 1.0 78 1

Seq Scan on datas_part_0000008933 (cost=0.00..26.78 rows=78 width=659) (actual time=0.009..0.061 rows=78 loops=1)

111. 0.061 0.061 ↑ 1.0 79 1

Seq Scan on datas_part_0000008934 (cost=0.00..24.79 rows=79 width=656) (actual time=0.009..0.061 rows=79 loops=1)

112. 0.061 0.061 ↑ 1.0 79 1

Seq Scan on datas_part_0000008935 (cost=0.00..22.79 rows=79 width=656) (actual time=0.009..0.061 rows=79 loops=1)

113. 0.061 0.061 ↑ 1.0 78 1

Seq Scan on datas_part_0000008936 (cost=0.00..23.78 rows=78 width=663) (actual time=0.009..0.061 rows=78 loops=1)

114. 0.064 0.064 ↑ 1.0 81 1

Seq Scan on datas_part_0000008937 (cost=0.00..25.81 rows=81 width=659) (actual time=0.009..0.064 rows=81 loops=1)

115. 0.065 0.065 ↑ 1.0 81 1

Seq Scan on datas_part_0000008938 (cost=0.00..24.81 rows=81 width=659) (actual time=0.009..0.065 rows=81 loops=1)

116. 0.063 0.063 ↑ 1.0 79 1

Seq Scan on datas_part_0000008939 (cost=0.00..27.79 rows=79 width=657) (actual time=0.008..0.063 rows=79 loops=1)

117. 0.059 0.059 ↑ 1.0 79 1

Seq Scan on datas_part_0000008940 (cost=0.00..22.79 rows=79 width=656) (actual time=0.009..0.059 rows=79 loops=1)

118. 0.061 0.061 ↑ 1.0 81 1

Seq Scan on datas_part_0000008941 (cost=0.00..22.81 rows=81 width=658) (actual time=0.009..0.061 rows=81 loops=1)

119. 0.063 0.063 ↑ 1.0 79 1

Seq Scan on datas_part_0000008942 (cost=0.00..26.79 rows=79 width=657) (actual time=0.009..0.063 rows=79 loops=1)

120. 0.166 0.166 ↑ 1.0 81 1

Seq Scan on datas_part_0000008943 (cost=0.00..27.81 rows=81 width=659) (actual time=0.063..0.166 rows=81 loops=1)

121. 0.068 0.068 ↑ 1.0 81 1

Seq Scan on datas_part_0000008944 (cost=0.00..32.81 rows=81 width=655) (actual time=0.010..0.068 rows=81 loops=1)

122. 0.061 0.061 ↑ 1.0 80 1

Seq Scan on datas_part_0000008945 (cost=0.00..24.80 rows=80 width=662) (actual time=0.009..0.061 rows=80 loops=1)

123. 0.063 0.063 ↑ 1.0 79 1

Seq Scan on datas_part_0000008946 (cost=0.00..25.79 rows=79 width=656) (actual time=0.009..0.063 rows=79 loops=1)

124. 0.064 0.064 ↑ 1.0 81 1

Seq Scan on datas_part_0000008947 (cost=0.00..26.81 rows=81 width=655) (actual time=0.009..0.064 rows=81 loops=1)

125. 0.061 0.061 ↑ 1.0 79 1

Seq Scan on datas_part_0000008948 (cost=0.00..23.79 rows=79 width=652) (actual time=0.009..0.061 rows=79 loops=1)

126. 0.086 0.086 ↑ 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=0.018..0.086 rows=79 loops=1)

127. 0.065 0.065 ↑ 1.0 81 1

Seq Scan on datas_part_0000008950 (cost=0.00..24.81 rows=81 width=659) (actual time=0.012..0.065 rows=81 loops=1)

128. 0.061 0.061 ↑ 1.0 81 1

Seq Scan on datas_part_0000008951 (cost=0.00..25.81 rows=81 width=656) (actual time=0.009..0.061 rows=81 loops=1)

129. 0.063 0.063 ↑ 1.0 78 1

Seq Scan on datas_part_0000008952 (cost=0.00..28.78 rows=78 width=664) (actual time=0.010..0.063 rows=78 loops=1)

130. 0.061 0.061 ↑ 1.0 81 1

Seq Scan on datas_part_0000008953 (cost=0.00..23.81 rows=81 width=656) (actual time=0.009..0.061 rows=81 loops=1)

131. 0.058 0.058 ↑ 1.0 79 1

Seq Scan on datas_part_0000008954 (cost=0.00..20.79 rows=79 width=656) (actual time=0.009..0.058 rows=79 loops=1)

132. 0.058 0.058 ↑ 1.0 79 1

Seq Scan on datas_part_0000008955 (cost=0.00..17.79 rows=79 width=655) (actual time=0.009..0.058 rows=79 loops=1)

133. 0.059 0.059 ↑ 1.0 79 1

Seq Scan on datas_part_0000008956 (cost=0.00..22.79 rows=79 width=657) (actual time=0.008..0.059 rows=79 loops=1)

134. 0.067 0.067 ↑ 1.0 81 1

Seq Scan on datas_part_0000008957 (cost=0.00..25.81 rows=81 width=659) (actual time=0.011..0.067 rows=81 loops=1)

135. 0.070 0.070 ↑ 1.0 79 1

Seq Scan on datas_part_0000008958 (cost=0.00..31.79 rows=79 width=655) (actual time=0.012..0.070 rows=79 loops=1)

136. 0.068 0.068 ↑ 1.0 79 1

Seq Scan on datas_part_0000008959 (cost=0.00..28.79 rows=79 width=654) (actual time=0.009..0.068 rows=79 loops=1)

137. 0.066 0.066 ↑ 1.0 83 1

Seq Scan on datas_part_0000008960 (cost=0.00..25.83 rows=83 width=658) (actual time=0.009..0.066 rows=83 loops=1)

138. 0.067 0.067 ↑ 1.0 81 1

Seq Scan on datas_part_0000008961 (cost=0.00..32.81 rows=81 width=656) (actual time=0.009..0.067 rows=81 loops=1)

139. 0.062 0.062 ↑ 1.0 81 1

Seq Scan on datas_part_0000008962 (cost=0.00..22.81 rows=81 width=656) (actual time=0.009..0.062 rows=81 loops=1)

140. 0.061 0.061 ↑ 1.0 81 1

Seq Scan on datas_part_0000008963 (cost=0.00..22.81 rows=81 width=655) (actual time=0.008..0.061 rows=81 loops=1)

141. 0.062 0.062 ↑ 1.0 81 1

Seq Scan on datas_part_0000008964 (cost=0.00..22.81 rows=81 width=658) (actual time=0.009..0.062 rows=81 loops=1)

142. 0.064 0.064 ↑ 1.0 81 1

Seq Scan on datas_part_0000008965 (cost=0.00..28.81 rows=81 width=656) (actual time=0.009..0.064 rows=81 loops=1)

143. 0.061 0.061 ↑ 1.0 81 1

Seq Scan on datas_part_0000008967 (cost=0.00..24.81 rows=81 width=655) (actual time=0.009..0.061 rows=81 loops=1)

144. 0.058 0.058 ↑ 1.0 79 1

Seq Scan on datas_part_0000008968 (cost=0.00..23.79 rows=79 width=655) (actual time=0.008..0.058 rows=79 loops=1)

145. 0.075 0.075 ↑ 1.0 80 1

Seq Scan on datas_part_0000008969 (cost=0.00..47.80 rows=80 width=663) (actual time=0.009..0.075 rows=80 loops=1)

146. 0.058 0.058 ↑ 1.0 79 1

Seq Scan on datas_part_0000008970 (cost=0.00..23.79 rows=79 width=657) (actual time=0.009..0.058 rows=79 loops=1)

147. 0.063 0.063 ↑ 1.0 79 1

Seq Scan on datas_part_0000008971 (cost=0.00..26.79 rows=79 width=655) (actual time=0.010..0.063 rows=79 loops=1)

148. 0.082 0.082 ↑ 1.0 81 1

Seq Scan on datas_part_0000008972 (cost=0.00..30.81 rows=81 width=655) (actual time=0.010..0.082 rows=81 loops=1)

149. 0.068 0.068 ↑ 1.0 80 1

Seq Scan on datas_part_0000008973 (cost=0.00..23.80 rows=80 width=663) (actual time=0.013..0.068 rows=80 loops=1)

150. 0.066 0.066 ↑ 1.0 79 1

Seq Scan on datas_part_0000008974 (cost=0.00..31.79 rows=79 width=655) (actual time=0.009..0.066 rows=79 loops=1)

151. 0.060 0.060 ↑ 1.0 79 1

Seq Scan on datas_part_0000008975 (cost=0.00..25.79 rows=79 width=655) (actual time=0.009..0.060 rows=79 loops=1)

152. 0.061 0.061 ↑ 1.0 79 1

Seq Scan on datas_part_0000008976 (cost=0.00..22.79 rows=79 width=655) (actual time=0.009..0.061 rows=79 loops=1)

153. 0.055 0.055 ↑ 1.0 79 1

Seq Scan on datas_part_0000008977 (cost=0.00..15.79 rows=79 width=657) (actual time=0.009..0.055 rows=79 loops=1)

154. 0.062 0.062 ↑ 1.0 81 1

Seq Scan on datas_part_0000008978 (cost=0.00..24.81 rows=81 width=658) (actual time=0.009..0.062 rows=81 loops=1)

155. 0.060 0.060 ↑ 1.0 79 1

Seq Scan on datas_part_0000008979 (cost=0.00..25.79 rows=79 width=657) (actual time=0.008..0.060 rows=79 loops=1)

156. 0.069 0.069 ↑ 1.0 81 1

Seq Scan on datas_part_0000008980 (cost=0.00..38.81 rows=81 width=656) (actual time=0.009..0.069 rows=81 loops=1)

157. 0.064 0.064 ↑ 1.0 79 1

Seq Scan on datas_part_0000008981 (cost=0.00..27.79 rows=79 width=657) (actual time=0.009..0.064 rows=79 loops=1)

158. 0.064 0.064 ↑ 1.0 80 1

Seq Scan on datas_part_0000008982 (cost=0.00..26.80 rows=80 width=664) (actual time=0.009..0.064 rows=80 loops=1)

159. 0.062 0.062 ↑ 1.0 81 1

Seq Scan on datas_part_0000008983 (cost=0.00..25.81 rows=81 width=655) (actual time=0.009..0.062 rows=81 loops=1)

160. 0.066 0.066 ↑ 1.0 81 1

Seq Scan on datas_part_0000008984 (cost=0.00..29.81 rows=81 width=657) (actual time=0.009..0.066 rows=81 loops=1)

161. 0.058 0.058 ↑ 1.0 79 1

Seq Scan on datas_part_0000008985 (cost=0.00..19.79 rows=79 width=654) (actual time=0.009..0.058 rows=79 loops=1)

162. 0.063 0.063 ↑ 1.0 79 1

Seq Scan on datas_part_0000008986 (cost=0.00..27.79 rows=79 width=657) (actual time=0.009..0.063 rows=79 loops=1)

163. 0.144 0.144 ↑ 1.0 81 1

Seq Scan on datas_part_0000008987 (cost=0.00..22.81 rows=81 width=656) (actual time=0.009..0.144 rows=81 loops=1)

164. 0.071 0.071 ↑ 1.0 81 1

Seq Scan on datas_part_0000008988 (cost=0.00..31.81 rows=81 width=656) (actual time=0.013..0.071 rows=81 loops=1)

165. 0.064 0.064 ↑ 1.0 81 1

Seq Scan on datas_part_0000008989 (cost=0.00..26.81 rows=81 width=655) (actual time=0.009..0.064 rows=81 loops=1)

166. 0.060 0.060 ↑ 1.0 81 1

Seq Scan on datas_part_0000008991 (cost=0.00..22.81 rows=81 width=656) (actual time=0.009..0.060 rows=81 loops=1)

167. 0.065 0.065 ↑ 1.0 79 1

Seq Scan on datas_part_0000008992 (cost=0.00..31.79 rows=79 width=657) (actual time=0.009..0.065 rows=79 loops=1)

168. 0.063 0.063 ↑ 1.0 81 1

Seq Scan on datas_part_0000008993 (cost=0.00..28.81 rows=81 width=658) (actual time=0.008..0.063 rows=81 loops=1)

169. 0.059 0.059 ↑ 1.0 81 1

Seq Scan on datas_part_0000008994 (cost=0.00..22.81 rows=81 width=656) (actual time=0.009..0.059 rows=81 loops=1)

170. 0.062 0.062 ↑ 1.0 81 1

Seq Scan on datas_part_0000008997 (cost=0.00..27.81 rows=81 width=658) (actual time=0.008..0.062 rows=81 loops=1)

171. 0.058 0.058 ↑ 1.0 81 1

Seq Scan on datas_part_0000008998 (cost=0.00..23.81 rows=81 width=658) (actual time=0.009..0.058 rows=81 loops=1)

172. 0.059 0.059 ↑ 1.0 81 1

Seq Scan on datas_part_0000008999 (cost=0.00..23.81 rows=81 width=656) (actual time=0.009..0.059 rows=81 loops=1)

173. 0.066 0.066 ↑ 1.0 81 1

Seq Scan on datas_part_0000009000 (cost=0.00..24.81 rows=81 width=656) (actual time=0.010..0.066 rows=81 loops=1)

174. 0.066 0.066 ↑ 1.0 83 1

Seq Scan on datas_part_0000009001 (cost=0.00..25.83 rows=83 width=658) (actual time=0.009..0.066 rows=83 loops=1)

175. 0.066 0.066 ↑ 1.0 81 1

Seq Scan on datas_part_0000009002 (cost=0.00..29.81 rows=81 width=658) (actual time=0.009..0.066 rows=81 loops=1)

176. 0.067 0.067 ↑ 1.0 81 1

Seq Scan on datas_part_0000009003 (cost=0.00..29.81 rows=81 width=658) (actual time=0.009..0.067 rows=81 loops=1)

177. 0.091 0.091 ↑ 1.0 81 1

Seq Scan on datas_part_0000009004 (cost=0.00..26.81 rows=81 width=656) (actual time=0.010..0.091 rows=81 loops=1)

178. 0.074 0.074 ↑ 1.0 81 1

Seq Scan on datas_part_0000009005 (cost=0.00..31.81 rows=81 width=652) (actual time=0.011..0.074 rows=81 loops=1)

179. 0.061 0.061 ↑ 1.0 81 1

Seq Scan on datas_part_0000009006 (cost=0.00..24.81 rows=81 width=652) (actual time=0.009..0.061 rows=81 loops=1)

180. 0.065 0.065 ↑ 1.0 81 1

Seq Scan on datas_part_0000009007 (cost=0.00..27.81 rows=81 width=658) (actual time=0.009..0.065 rows=81 loops=1)

181. 0.062 0.062 ↑ 1.0 81 1

Seq Scan on datas_part_0000009008 (cost=0.00..24.81 rows=81 width=656) (actual time=0.009..0.062 rows=81 loops=1)

182. 0.061 0.061 ↑ 1.0 81 1

Seq Scan on datas_part_0000009009 (cost=0.00..23.81 rows=81 width=658) (actual time=0.009..0.061 rows=81 loops=1)

183. 0.063 0.063 ↑ 1.0 81 1

Seq Scan on datas_part_0000009010 (cost=0.00..28.81 rows=81 width=655) (actual time=0.009..0.063 rows=81 loops=1)

184. 0.063 0.063 ↑ 1.0 81 1

Seq Scan on datas_part_0000009011 (cost=0.00..24.81 rows=81 width=649) (actual time=0.009..0.063 rows=81 loops=1)

185. 0.064 0.064 ↑ 1.0 80 1

Seq Scan on datas_part_0000009012 (cost=0.00..23.80 rows=80 width=656) (actual time=0.009..0.064 rows=80 loops=1)

186. 0.073 0.073 ↑ 1.0 81 1

Seq Scan on datas_part_0000009013 (cost=0.00..36.81 rows=81 width=658) (actual time=0.010..0.073 rows=81 loops=1)

187. 0.060 0.060 ↑ 1.0 81 1

Seq Scan on datas_part_0000009014 (cost=0.00..26.81 rows=81 width=656) (actual time=0.009..0.060 rows=81 loops=1)

188. 0.063 0.063 ↑ 1.0 81 1

Seq Scan on datas_part_0000009015 (cost=0.00..23.81 rows=81 width=654) (actual time=0.010..0.063 rows=81 loops=1)

189. 0.084 0.084 ↑ 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=0.020..0.084 rows=79 loops=1)

190. 0.077 0.077 ↑ 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=0.009..0.077 rows=79 loops=1)

191. 0.165 0.165 ↑ 1.0 81 1

Seq Scan on datas_part_0000009018 (cost=0.00..28.81 rows=81 width=656) (actual time=0.014..0.165 rows=81 loops=1)

192. 0.070 0.070 ↑ 1.0 81 1

Seq Scan on datas_part_0000009019 (cost=0.00..31.81 rows=81 width=658) (actual time=0.012..0.070 rows=81 loops=1)

193. 0.063 0.063 ↑ 1.0 81 1

Seq Scan on datas_part_0000009020 (cost=0.00..26.81 rows=81 width=658) (actual time=0.009..0.063 rows=81 loops=1)

194. 0.070 0.070 ↑ 1.0 81 1

Seq Scan on datas_part_0000009021 (cost=0.00..39.81 rows=81 width=656) (actual time=0.009..0.070 rows=81 loops=1)

195. 0.064 0.064 ↑ 1.0 81 1

Seq Scan on datas_part_0000009022 (cost=0.00..26.81 rows=81 width=655) (actual time=0.009..0.064 rows=81 loops=1)

196. 0.060 0.060 ↑ 1.0 81 1

Seq Scan on datas_part_0000009023 (cost=0.00..24.81 rows=81 width=658) (actual time=0.010..0.060 rows=81 loops=1)

197. 0.079 0.079 ↑ 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=0.015..0.079 rows=81 loops=1)

198. 0.066 0.066 ↑ 1.0 81 1

Seq Scan on datas_part_0000009025 (cost=0.00..25.81 rows=81 width=656) (actual time=0.011..0.066 rows=81 loops=1)

199. 0.065 0.065 ↑ 1.0 81 1

Seq Scan on datas_part_0000009026 (cost=0.00..27.81 rows=81 width=655) (actual time=0.010..0.065 rows=81 loops=1)

200. 0.061 0.061 ↑ 1.0 81 1

Seq Scan on datas_part_0000009027 (cost=0.00..23.81 rows=81 width=658) (actual time=0.008..0.061 rows=81 loops=1)

201. 0.061 0.061 ↑ 1.0 81 1

Seq Scan on datas_part_0000009028 (cost=0.00..22.81 rows=81 width=658) (actual time=0.009..0.061 rows=81 loops=1)

202. 0.061 0.061 ↑ 1.0 81 1

Seq Scan on datas_part_0000009029 (cost=0.00..23.81 rows=81 width=657) (actual time=0.009..0.061 rows=81 loops=1)

203. 0.072 0.072 ↑ 1.0 81 1

Seq Scan on datas_part_0000009030 (cost=0.00..36.81 rows=81 width=649) (actual time=0.009..0.072 rows=81 loops=1)

204. 0.091 0.091 ↑ 1.0 85 1

Seq Scan on datas_part_0000009031 (cost=0.00..31.85 rows=85 width=658) (actual time=0.023..0.091 rows=85 loops=1)

205. 0.062 0.062 ↑ 1.0 81 1

Seq Scan on datas_part_0000009032 (cost=0.00..27.81 rows=81 width=657) (actual time=0.009..0.062 rows=81 loops=1)

206. 0.108 0.108 ↑ 1.0 83 1

Seq Scan on datas_part_0000009033 (cost=0.00..30.83 rows=83 width=657) (actual time=0.011..0.108 rows=83 loops=1)

207. 0.059 0.059 ↑ 1.0 81 1

Seq Scan on datas_part_0000009034 (cost=0.00..21.81 rows=81 width=658) (actual time=0.009..0.059 rows=81 loops=1)

208. 0.069 0.069 ↑ 1.0 81 1

Seq Scan on datas_part_0000009035 (cost=0.00..36.81 rows=81 width=657) (actual time=0.009..0.069 rows=81 loops=1)

209. 0.063 0.063 ↑ 1.0 81 1

Seq Scan on datas_part_0000009036 (cost=0.00..24.81 rows=81 width=654) (actual time=0.009..0.063 rows=81 loops=1)

210. 0.060 0.060 ↑ 1.0 81 1

Seq Scan on datas_part_0000009037 (cost=0.00..24.81 rows=81 width=656) (actual time=0.009..0.060 rows=81 loops=1)

211. 0.075 0.075 ↑ 1.0 81 1

Seq Scan on datas_part_0000009038 (cost=0.00..42.81 rows=81 width=658) (actual time=0.009..0.075 rows=81 loops=1)

212. 0.063 0.063 ↑ 1.0 81 1

Seq Scan on datas_part_0000009039 (cost=0.00..27.81 rows=81 width=658) (actual time=0.009..0.063 rows=81 loops=1)

213. 0.062 0.062 ↑ 1.0 81 1

Seq Scan on datas_part_0000009040 (cost=0.00..24.81 rows=81 width=656) (actual time=0.009..0.062 rows=81 loops=1)

214. 0.063 0.063 ↑ 1.0 83 1

Seq Scan on datas_part_0000009041 (cost=0.00..27.83 rows=83 width=656) (actual time=0.009..0.063 rows=83 loops=1)

215. 0.072 0.072 ↑ 1.0 81 1

Seq Scan on datas_part_0000009042 (cost=0.00..40.81 rows=81 width=658) (actual time=0.009..0.072 rows=81 loops=1)

216. 0.066 0.066 ↑ 1.0 81 1

Seq Scan on datas_part_0000009043 (cost=0.00..25.81 rows=81 width=658) (actual time=0.009..0.066 rows=81 loops=1)

217. 0.062 0.062 ↑ 1.0 81 1

Seq Scan on datas_part_0000009044 (cost=0.00..23.81 rows=81 width=655) (actual time=0.010..0.062 rows=81 loops=1)

218. 0.063 0.063 ↑ 1.0 81 1

Seq Scan on datas_part_0000009045 (cost=0.00..23.81 rows=81 width=658) (actual time=0.010..0.063 rows=81 loops=1)

219. 0.101 0.101 ↑ 1.0 81 1

Seq Scan on datas_part_0000009046 (cost=0.00..25.81 rows=81 width=655) (actual time=0.010..0.101 rows=81 loops=1)

220. 0.065 0.065 ↑ 1.0 81 1

Seq Scan on datas_part_0000009047 (cost=0.00..24.81 rows=81 width=656) (actual time=0.013..0.065 rows=81 loops=1)

221. 0.059 0.059 ↑ 1.0 81 1

Seq Scan on datas_part_0000009048 (cost=0.00..22.81 rows=81 width=655) (actual time=0.009..0.059 rows=81 loops=1)

222. 0.061 0.061 ↑ 1.0 81 1

Seq Scan on datas_part_0000009049 (cost=0.00..21.81 rows=81 width=649) (actual time=0.009..0.061 rows=81 loops=1)

223. 0.062 0.062 ↑ 1.0 81 1

Seq Scan on datas_part_0000009050 (cost=0.00..25.81 rows=81 width=658) (actual time=0.010..0.062 rows=81 loops=1)

224. 0.067 0.067 ↑ 1.0 81 1

Seq Scan on datas_part_0000009051 (cost=0.00..30.81 rows=81 width=655) (actual time=0.009..0.067 rows=81 loops=1)

225. 0.064 0.064 ↑ 1.0 81 1

Seq Scan on datas_part_0000009052 (cost=0.00..26.81 rows=81 width=657) (actual time=0.009..0.064 rows=81 loops=1)

226. 0.066 0.066 ↑ 1.0 81 1

Seq Scan on datas_part_0000009053 (cost=0.00..32.81 rows=81 width=658) (actual time=0.009..0.066 rows=81 loops=1)

227. 0.073 0.073 ↑ 1.0 81 1

Seq Scan on datas_part_0000009054 (cost=0.00..42.81 rows=81 width=656) (actual time=0.009..0.073 rows=81 loops=1)

228. 0.073 0.073 ↑ 1.0 81 1

Seq Scan on datas_part_0000009056 (cost=0.00..41.81 rows=81 width=649) (actual time=0.009..0.073 rows=81 loops=1)

229. 0.061 0.061 ↑ 1.0 81 1

Seq Scan on datas_part_0000009057 (cost=0.00..23.81 rows=81 width=656) (actual time=0.009..0.061 rows=81 loops=1)

230. 0.060 0.060 ↑ 1.0 81 1

Seq Scan on datas_part_0000009058 (cost=0.00..22.81 rows=81 width=658) (actual time=0.010..0.060 rows=81 loops=1)

231. 0.067 0.067 ↑ 1.0 81 1

Seq Scan on datas_part_0000009059 (cost=0.00..29.81 rows=81 width=655) (actual time=0.009..0.067 rows=81 loops=1)

232. 0.064 0.064 ↑ 1.0 79 1

Seq Scan on datas_part_0000009061 (cost=0.00..28.79 rows=79 width=653) (actual time=0.009..0.064 rows=79 loops=1)

233. 0.060 0.060 ↑ 1.0 81 1

Seq Scan on datas_part_0000009062 (cost=0.00..23.81 rows=81 width=658) (actual time=0.009..0.060 rows=81 loops=1)

234. 0.059 0.059 ↑ 1.0 81 1

Seq Scan on datas_part_0000009063 (cost=0.00..24.81 rows=81 width=656) (actual time=0.009..0.059 rows=81 loops=1)

235. 0.064 0.064 ↑ 1.0 78 1

Seq Scan on datas_part_0000009064 (cost=0.00..28.78 rows=78 width=661) (actual time=0.010..0.064 rows=78 loops=1)

236. 0.061 0.061 ↑ 1.0 79 1

Seq Scan on datas_part_0000009066 (cost=0.00..28.79 rows=79 width=654) (actual time=0.009..0.061 rows=79 loops=1)

237. 0.064 0.064 ↑ 1.0 81 1

Seq Scan on datas_part_0000009067 (cost=0.00..28.81 rows=81 width=658) (actual time=0.009..0.064 rows=81 loops=1)

238. 0.064 0.064 ↑ 1.0 81 1

Seq Scan on datas_part_0000009068 (cost=0.00..25.81 rows=81 width=658) (actual time=0.009..0.064 rows=81 loops=1)

239. 0.057 0.057 ↑ 1.0 79 1

Seq Scan on datas_part_0000009069 (cost=0.00..17.79 rows=79 width=655) (actual time=0.009..0.057 rows=79 loops=1)

240. 0.064 0.064 ↑ 1.0 79 1

Seq Scan on datas_part_0000009070 (cost=0.00..31.79 rows=79 width=654) (actual time=0.009..0.064 rows=79 loops=1)

241. 0.062 0.062 ↑ 1.0 79 1

Seq Scan on datas_part_0000009071 (cost=0.00..26.79 rows=79 width=654) (actual time=0.009..0.062 rows=79 loops=1)

242. 0.061 0.061 ↑ 1.0 79 1

Seq Scan on datas_part_0000009072 (cost=0.00..24.79 rows=79 width=654) (actual time=0.009..0.061 rows=79 loops=1)

243. 0.061 0.061 ↑ 1.0 79 1

Seq Scan on datas_part_0000009073 (cost=0.00..28.79 rows=79 width=655) (actual time=0.008..0.061 rows=79 loops=1)

244. 0.060 0.060 ↑ 1.0 79 1

Seq Scan on datas_part_0000009074 (cost=0.00..24.79 rows=79 width=657) (actual time=0.009..0.060 rows=79 loops=1)

245. 0.063 0.063 ↑ 1.0 81 1

Seq Scan on datas_part_0000009075 (cost=0.00..25.81 rows=81 width=658) (actual time=0.011..0.063 rows=81 loops=1)

246. 0.064 0.064 ↑ 1.0 79 1

Seq Scan on datas_part_0000009076 (cost=0.00..26.79 rows=79 width=653) (actual time=0.010..0.064 rows=79 loops=1)

247. 0.057 0.057 ↑ 1.0 78 1

Seq Scan on datas_part_0000009077 (cost=0.00..24.78 rows=78 width=662) (actual time=0.009..0.057 rows=78 loops=1)

248. 0.087 0.087 ↑ 1.0 79 1

Seq Scan on datas_part_0000009078 (cost=0.00..25.79 rows=79 width=655) (actual time=0.015..0.087 rows=79 loops=1)

249. 0.069 0.069 ↑ 1.0 79 1

Seq Scan on datas_part_0000009079 (cost=0.00..38.79 rows=79 width=654) (actual time=0.009..0.069 rows=79 loops=1)

250. 0.066 0.066 ↑ 1.0 80 1

Seq Scan on datas_part_0000009080 (cost=0.00..27.80 rows=80 width=664) (actual time=0.010..0.066 rows=80 loops=1)

251. 0.063 0.063 ↑ 1.0 81 1

Seq Scan on datas_part_0000009081 (cost=0.00..30.81 rows=81 width=656) (actual time=0.009..0.063 rows=81 loops=1)

252. 0.065 0.065 ↑ 1.0 81 1

Seq Scan on datas_part_0000009082 (cost=0.00..29.81 rows=81 width=655) (actual time=0.009..0.065 rows=81 loops=1)

253. 0.065 0.065 ↑ 1.0 81 1

Seq Scan on datas_part_0000009083 (cost=0.00..24.81 rows=81 width=658) (actual time=0.010..0.065 rows=81 loops=1)

254. 0.097 0.097 ↑ 1.0 79 1

Seq Scan on datas_part_0000009085 (cost=0.00..21.79 rows=79 width=655) (actual time=0.009..0.097 rows=79 loops=1)

255. 0.065 0.065 ↑ 1.0 79 1

Seq Scan on datas_part_0000009087 (cost=0.00..25.79 rows=79 width=654) (actual time=0.009..0.065 rows=79 loops=1)

256. 0.063 0.063 ↑ 1.0 79 1

Seq Scan on datas_part_0000009088 (cost=0.00..29.79 rows=79 width=653) (actual time=0.008..0.063 rows=79 loops=1)

257. 0.065 0.065 ↑ 1.0 77 1

Seq Scan on datas_part_0000009089 (cost=0.00..24.77 rows=77 width=654) (actual time=0.009..0.065 rows=77 loops=1)

258. 0.061 0.061 ↑ 1.0 79 1

Seq Scan on datas_part_0000009090 (cost=0.00..25.79 rows=79 width=656) (actual time=0.009..0.061 rows=79 loops=1)

259. 0.059 0.059 ↑ 1.0 78 1

Seq Scan on datas_part_0000009091 (cost=0.00..20.78 rows=78 width=663) (actual time=0.009..0.059 rows=78 loops=1)

260. 0.059 0.059 ↑ 1.0 77 1

Seq Scan on datas_part_0000009092 (cost=0.00..22.77 rows=77 width=655) (actual time=0.009..0.059 rows=77 loops=1)

261. 0.062 0.062 ↑ 1.0 76 1

Seq Scan on datas_part_0000009093 (cost=0.00..25.76 rows=76 width=662) (actual time=0.009..0.062 rows=76 loops=1)

262. 0.073 0.073 ↑ 1.0 77 1

Seq Scan on datas_part_0000009094 (cost=0.00..43.77 rows=77 width=655) (actual time=0.009..0.073 rows=77 loops=1)

263. 0.071 0.071 ↑ 1.0 77 1

Seq Scan on datas_part_0000009095 (cost=0.00..26.77 rows=77 width=655) (actual time=0.021..0.071 rows=77 loops=1)

264. 0.067 0.067 ↑ 1.0 77 1

Seq Scan on datas_part_0000009096 (cost=0.00..38.77 rows=77 width=653) (actual time=0.009..0.067 rows=77 loops=1)

265. 0.056 0.056 ↑ 1.0 78 1

Seq Scan on datas_part_0000009097 (cost=0.00..16.78 rows=78 width=661) (actual time=0.009..0.056 rows=78 loops=1)

266. 0.064 0.064 ↑ 1.0 81 1

Seq Scan on datas_part_0000009098 (cost=0.00..27.81 rows=81 width=658) (actual time=0.009..0.064 rows=81 loops=1)

267. 0.063 0.063 ↑ 1.0 78 1

Seq Scan on datas_part_0000009099 (cost=0.00..32.78 rows=78 width=661) (actual time=0.008..0.063 rows=78 loops=1)

268. 0.055 0.055 ↑ 1.0 78 1

Seq Scan on datas_part_0000009100 (cost=0.00..16.78 rows=78 width=666) (actual time=0.009..0.055 rows=78 loops=1)

269. 0.063 0.063 ↑ 1.0 78 1

Seq Scan on datas_part_0000009101 (cost=0.00..27.78 rows=78 width=666) (actual time=0.009..0.063 rows=78 loops=1)

270. 0.059 0.059 ↑ 1.0 79 1

Seq Scan on datas_part_0000009102 (cost=0.00..22.79 rows=79 width=657) (actual time=0.009..0.059 rows=79 loops=1)

271. 0.060 0.060 ↑ 1.0 78 1

Seq Scan on datas_part_0000009104 (cost=0.00..24.78 rows=78 width=664) (actual time=0.009..0.060 rows=78 loops=1)

272. 0.060 0.060 ↑ 1.0 77 1

Seq Scan on datas_part_0000009105 (cost=0.00..24.77 rows=77 width=654) (actual time=0.009..0.060 rows=77 loops=1)

273. 0.058 0.058 ↑ 1.0 77 1

Seq Scan on datas_part_0000009106 (cost=0.00..22.77 rows=77 width=655) (actual time=0.009..0.058 rows=77 loops=1)

274. 0.063 0.063 ↑ 1.0 76 1

Seq Scan on datas_part_0000009107 (cost=0.00..30.76 rows=76 width=666) (actual time=0.008..0.063 rows=76 loops=1)

275. 0.061 0.061 ↑ 1.0 77 1

Seq Scan on datas_part_0000009108 (cost=0.00..23.77 rows=77 width=654) (actual time=0.009..0.061 rows=77 loops=1)

276. 0.059 0.059 ↑ 1.0 79 1

Seq Scan on datas_part_0000009109 (cost=0.00..25.79 rows=79 width=656) (actual time=0.009..0.059 rows=79 loops=1)

277. 0.102 0.102 ↑ 1.0 78 1

Seq Scan on datas_part_0000009110 (cost=0.00..31.78 rows=78 width=661) (actual time=0.009..0.102 rows=78 loops=1)

278. 0.063 0.063 ↑ 1.0 79 1

Seq Scan on datas_part_0000009111 (cost=0.00..24.79 rows=79 width=657) (actual time=0.013..0.063 rows=79 loops=1)

279. 0.062 0.062 ↑ 1.0 79 1

Seq Scan on datas_part_0000009112 (cost=0.00..27.79 rows=79 width=655) (actual time=0.009..0.062 rows=79 loops=1)

280. 0.057 0.057 ↑ 1.0 76 1

Seq Scan on datas_part_0000009113 (cost=0.00..23.76 rows=76 width=662) (actual time=0.009..0.057 rows=76 loops=1)

281. 0.058 0.058 ↑ 1.0 76 1

Seq Scan on datas_part_0000009114 (cost=0.00..21.76 rows=76 width=662) (actual time=0.009..0.058 rows=76 loops=1)

282. 0.059 0.059 ↑ 1.0 76 1

Seq Scan on datas_part_0000009115 (cost=0.00..22.76 rows=76 width=662) (actual time=0.009..0.059 rows=76 loops=1)

283. 0.059 0.059 ↑ 1.0 77 1

Seq Scan on datas_part_0000009116 (cost=0.00..24.77 rows=77 width=655) (actual time=0.009..0.059 rows=77 loops=1)

284. 0.060 0.060 ↑ 1.0 76 1

Seq Scan on datas_part_0000009117 (cost=0.00..26.76 rows=76 width=660) (actual time=0.008..0.060 rows=76 loops=1)

285. 0.057 0.057 ↑ 1.0 77 1

Seq Scan on datas_part_0000009118 (cost=0.00..20.77 rows=77 width=654) (actual time=0.009..0.057 rows=77 loops=1)

286. 0.060 0.060 ↑ 1.0 76 1

Seq Scan on datas_part_0000009119 (cost=0.00..23.76 rows=76 width=661) (actual time=0.010..0.060 rows=76 loops=1)

287. 0.075 0.075 ↑ 1.0 79 1

Seq Scan on datas_part_0000009120 (cost=0.00..43.79 rows=79 width=649) (actual time=0.009..0.075 rows=79 loops=1)

288. 0.057 0.057 ↑ 1.0 77 1

Seq Scan on datas_part_0000009121 (cost=0.00..23.77 rows=77 width=655) (actual time=0.009..0.057 rows=77 loops=1)

289. 0.081 0.081 ↑ 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=0.018..0.081 rows=77 loops=1)

290. 0.062 0.062 ↑ 1.0 77 1

Seq Scan on datas_part_0000009123 (cost=0.00..25.77 rows=77 width=654) (actual time=0.011..0.062 rows=77 loops=1)

291. 0.059 0.059 ↑ 1.0 77 1

Seq Scan on datas_part_0000009124 (cost=0.00..22.77 rows=77 width=654) (actual time=0.009..0.059 rows=77 loops=1)

292. 0.058 0.058 ↑ 1.0 79 1

Seq Scan on datas_part_0000009125 (cost=0.00..23.79 rows=79 width=657) (actual time=0.009..0.058 rows=79 loops=1)

293. 0.063 0.063 ↑ 1.0 77 1

Seq Scan on datas_part_0000009126 (cost=0.00..26.77 rows=77 width=654) (actual time=0.011..0.063 rows=77 loops=1)

294. 0.063 0.063 ↑ 1.0 81 1

Seq Scan on datas_part_0000009127 (cost=0.00..23.81 rows=81 width=650) (actual time=0.009..0.063 rows=81 loops=1)

295. 0.059 0.059 ↑ 1.0 77 1

Seq Scan on datas_part_0000009128 (cost=0.00..24.77 rows=77 width=654) (actual time=0.009..0.059 rows=77 loops=1)

296. 0.060 0.060 ↑ 1.0 79 1

Seq Scan on datas_part_0000009129 (cost=0.00..21.79 rows=79 width=655) (actual time=0.009..0.060 rows=79 loops=1)

297. 0.062 0.062 ↑ 1.0 79 1

Seq Scan on datas_part_0000009130 (cost=0.00..24.79 rows=79 width=655) (actual time=0.010..0.062 rows=79 loops=1)

298. 0.060 0.060 ↑ 1.0 77 1

Seq Scan on datas_part_0000009131 (cost=0.00..26.77 rows=77 width=654) (actual time=0.009..0.060 rows=77 loops=1)

299. 0.064 0.064 ↑ 1.0 81 1

Seq Scan on datas_part_0000009132 (cost=0.00..23.81 rows=81 width=655) (actual time=0.009..0.064 rows=81 loops=1)

300. 0.062 0.062 ↑ 1.0 79 1

Seq Scan on datas_part_0000009133 (cost=0.00..24.79 rows=79 width=653) (actual time=0.009..0.062 rows=79 loops=1)

301. 0.075 0.075 ↑ 1.0 81 1

Seq Scan on datas_part_0000009134 (cost=0.00..50.81 rows=81 width=655) (actual time=0.009..0.075 rows=81 loops=1)

302. 0.060 0.060 ↑ 1.0 78 1

Seq Scan on datas_part_0000009135 (cost=0.00..23.78 rows=78 width=660) (actual time=0.009..0.060 rows=78 loops=1)

303. 0.070 0.070 ↑ 1.0 81 1

Seq Scan on datas_part_0000009136 (cost=0.00..36.81 rows=81 width=655) (actual time=0.009..0.070 rows=81 loops=1)

304. 0.063 0.063 ↑ 1.0 81 1

Seq Scan on datas_part_0000009137 (cost=0.00..23.81 rows=81 width=649) (actual time=0.009..0.063 rows=81 loops=1)

305. 0.063 0.063 ↑ 1.0 81 1

Seq Scan on datas_part_0000009138 (cost=0.00..30.81 rows=81 width=656) (actual time=0.008..0.063 rows=81 loops=1)

306. 0.063 0.063 ↑ 1.0 81 1

Seq Scan on datas_part_0000009139 (cost=0.00..26.81 rows=81 width=656) (actual time=0.009..0.063 rows=81 loops=1)

307. 0.062 0.062 ↑ 1.0 81 1

Seq Scan on datas_part_0000009140 (cost=0.00..24.81 rows=81 width=656) (actual time=0.009..0.062 rows=81 loops=1)

308. 0.065 0.065 ↑ 1.0 81 1

Seq Scan on datas_part_0000009141 (cost=0.00..27.81 rows=81 width=654) (actual time=0.011..0.065 rows=81 loops=1)

309. 0.058 0.058 ↑ 1.0 79 1

Seq Scan on datas_part_0000009142 (cost=0.00..19.79 rows=79 width=648) (actual time=0.009..0.058 rows=79 loops=1)

310. 0.064 0.064 ↑ 1.0 81 1

Seq Scan on datas_part_0000009144 (cost=0.00..27.81 rows=81 width=656) (actual time=0.009..0.064 rows=81 loops=1)

311. 0.061 0.061 ↑ 1.0 79 1

Seq Scan on datas_part_0000009145 (cost=0.00..23.79 rows=79 width=652) (actual time=0.010..0.061 rows=79 loops=1)

312. 0.061 0.061 ↑ 1.0 81 1

Seq Scan on datas_part_0000009146 (cost=0.00..23.81 rows=81 width=655) (actual time=0.009..0.061 rows=81 loops=1)

313. 0.061 0.061 ↑ 1.0 81 1

Seq Scan on datas_part_0000009148 (cost=0.00..24.81 rows=81 width=655) (actual time=0.009..0.061 rows=81 loops=1)

314. 0.067 0.067 ↑ 1.0 81 1

Seq Scan on datas_part_0000009149 (cost=0.00..31.81 rows=81 width=655) (actual time=0.010..0.067 rows=81 loops=1)

315. 0.064 0.064 ↑ 1.0 80 1

Seq Scan on datas_part_0000009150 (cost=0.00..22.80 rows=80 width=654) (actual time=0.009..0.064 rows=80 loops=1)

316. 0.052 0.052 ↑ 1.0 79 1

Seq Scan on datas_part_0000009151 (cost=0.00..8.79 rows=79 width=648) (actual time=0.011..0.052 rows=79 loops=1)

317. 0.092 0.092 ↑ 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=0.018..0.092 rows=81 loops=1)

318. 0.062 0.062 ↑ 1.0 81 1

Seq Scan on datas_part_0000009153 (cost=0.00..23.81 rows=81 width=655) (actual time=0.011..0.062 rows=81 loops=1)

319. 0.065 0.065 ↑ 1.0 81 1

Seq Scan on datas_part_0000009154 (cost=0.00..25.81 rows=81 width=655) (actual time=0.009..0.065 rows=81 loops=1)

320. 0.069 0.069 ↑ 1.0 81 1

Seq Scan on datas_part_0000009155 (cost=0.00..37.81 rows=81 width=658) (actual time=0.009..0.069 rows=81 loops=1)

321. 0.064 0.064 ↑ 1.0 81 1

Seq Scan on datas_part_0000009156 (cost=0.00..24.81 rows=81 width=656) (actual time=0.010..0.064 rows=81 loops=1)

322. 0.064 0.064 ↑ 1.0 81 1

Seq Scan on datas_part_0000009158 (cost=0.00..24.81 rows=81 width=658) (actual time=0.012..0.064 rows=81 loops=1)

323. 0.063 0.063 ↑ 1.0 79 1

Seq Scan on datas_part_0000009159 (cost=0.00..25.79 rows=79 width=653) (actual time=0.009..0.063 rows=79 loops=1)

324. 0.060 0.060 ↑ 1.0 81 1

Seq Scan on datas_part_0000009160 (cost=0.00..23.81 rows=81 width=658) (actual time=0.009..0.060 rows=81 loops=1)

325. 0.063 0.063 ↑ 1.0 81 1

Seq Scan on datas_part_0000009161 (cost=0.00..26.81 rows=81 width=656) (actual time=0.010..0.063 rows=81 loops=1)

326. 0.059 0.059 ↑ 1.0 81 1

Seq Scan on datas_part_0000009162 (cost=0.00..21.81 rows=81 width=654) (actual time=0.009..0.059 rows=81 loops=1)

327. 0.063 0.063 ↑ 1.0 81 1

Seq Scan on datas_part_0000009163 (cost=0.00..25.81 rows=81 width=655) (actual time=0.009..0.063 rows=81 loops=1)

328. 0.063 0.063 ↑ 1.0 81 1

Seq Scan on datas_part_0000009164 (cost=0.00..28.81 rows=81 width=656) (actual time=0.009..0.063 rows=81 loops=1)

329. 0.063 0.063 ↑ 1.0 81 1

Seq Scan on datas_part_0000009165 (cost=0.00..24.81 rows=81 width=656) (actual time=0.009..0.063 rows=81 loops=1)

330. 0.061 0.061 ↑ 1.0 81 1

Seq Scan on datas_part_0000009166 (cost=0.00..25.81 rows=81 width=655) (actual time=0.008..0.061 rows=81 loops=1)

331. 0.065 0.065 ↑ 1.0 81 1

Seq Scan on datas_part_0000009167 (cost=0.00..26.81 rows=81 width=655) (actual time=0.009..0.065 rows=81 loops=1)

332. 0.063 0.063 ↑ 1.0 81 1

Seq Scan on datas_part_0000009168 (cost=0.00..22.81 rows=81 width=648) (actual time=0.009..0.063 rows=81 loops=1)

333. 0.074 0.074 ↑ 1.0 81 1

Seq Scan on datas_part_0000009169 (cost=0.00..40.81 rows=81 width=649) (actual time=0.010..0.074 rows=81 loops=1)

334. 0.062 0.062 ↑ 1.0 81 1

Seq Scan on datas_part_0000009170 (cost=0.00..22.81 rows=81 width=654) (actual time=0.009..0.062 rows=81 loops=1)

335. 0.066 0.066 ↑ 1.0 81 1

Seq Scan on datas_part_0000009171 (cost=0.00..30.81 rows=81 width=658) (actual time=0.009..0.066 rows=81 loops=1)

336. 0.073 0.073 ↑ 1.0 81 1

Seq Scan on datas_part_0000009172 (cost=0.00..39.81 rows=81 width=659) (actual time=0.008..0.073 rows=81 loops=1)

337. 0.066 0.066 ↑ 1.0 81 1

Seq Scan on datas_part_0000009173 (cost=0.00..29.81 rows=81 width=655) (actual time=0.011..0.066 rows=81 loops=1)

338. 0.065 0.065 ↑ 1.0 81 1

Seq Scan on datas_part_0000009174 (cost=0.00..32.81 rows=81 width=659) (actual time=0.009..0.065 rows=81 loops=1)

339. 0.060 0.060 ↑ 1.0 81 1

Seq Scan on datas_part_0000009175 (cost=0.00..19.81 rows=81 width=649) (actual time=0.009..0.060 rows=81 loops=1)

340. 0.062 0.062 ↑ 1.0 81 1

Seq Scan on datas_part_0000009176 (cost=0.00..23.81 rows=81 width=659) (actual time=0.009..0.062 rows=81 loops=1)

341. 0.061 0.061 ↑ 1.0 81 1

Seq Scan on datas_part_0000009178 (cost=0.00..25.81 rows=81 width=658) (actual time=0.009..0.061 rows=81 loops=1)

342. 0.062 0.062 ↑ 1.0 81 1

Seq Scan on datas_part_0000009179 (cost=0.00..23.81 rows=81 width=650) (actual time=0.009..0.062 rows=81 loops=1)

343. 0.061 0.061 ↑ 1.0 81 1

Seq Scan on datas_part_0000009180 (cost=0.00..25.81 rows=81 width=655) (actual time=0.009..0.061 rows=81 loops=1)

344. 0.072 0.072 ↑ 1.0 81 1

Seq Scan on datas_part_0000009181 (cost=0.00..38.81 rows=81 width=659) (actual time=0.009..0.072 rows=81 loops=1)

345. 0.061 0.061 ↑ 1.0 81 1

Seq Scan on datas_part_0000009182 (cost=0.00..24.81 rows=81 width=658) (actual time=0.009..0.061 rows=81 loops=1)

346. 0.061 0.061 ↑ 1.0 81 1

Seq Scan on datas_part_0000009183 (cost=0.00..22.81 rows=81 width=650) (actual time=0.009..0.061 rows=81 loops=1)

347. 0.062 0.062 ↑ 1.0 81 1

Seq Scan on datas_part_0000009184 (cost=0.00..21.81 rows=81 width=649) (actual time=0.009..0.062 rows=81 loops=1)

348. 0.062 0.062 ↑ 1.0 81 1

Seq Scan on datas_part_0000009185 (cost=0.00..24.81 rows=81 width=658) (actual time=0.009..0.062 rows=81 loops=1)

349. 0.061 0.061 ↑ 1.0 81 1

Seq Scan on datas_part_0000009186 (cost=0.00..25.81 rows=81 width=656) (actual time=0.009..0.061 rows=81 loops=1)

350. 0.063 0.063 ↑ 1.0 81 1

Seq Scan on datas_part_0000009187 (cost=0.00..25.81 rows=81 width=659) (actual time=0.009..0.063 rows=81 loops=1)

351. 0.065 0.065 ↑ 1.0 81 1

Seq Scan on datas_part_0000009188 (cost=0.00..25.81 rows=81 width=656) (actual time=0.012..0.065 rows=81 loops=1)

352. 0.066 0.066 ↑ 1.0 81 1

Seq Scan on datas_part_0000009189 (cost=0.00..26.81 rows=81 width=649) (actual time=0.010..0.066 rows=81 loops=1)

353. 0.061 0.061 ↑ 1.0 81 1

Seq Scan on datas_part_0000009190 (cost=0.00..21.81 rows=81 width=659) (actual time=0.009..0.061 rows=81 loops=1)

354. 0.062 0.062 ↑ 1.0 81 1

Seq Scan on datas_part_0000009191 (cost=0.00..28.81 rows=81 width=658) (actual time=0.009..0.062 rows=81 loops=1)

355. 0.065 0.065 ↑ 1.0 81 1

Seq Scan on datas_part_0000009192 (cost=0.00..29.81 rows=81 width=659) (actual time=0.009..0.065 rows=81 loops=1)

356. 0.064 0.064 ↑ 1.0 81 1

Seq Scan on datas_part_0000009193 (cost=0.00..23.81 rows=81 width=653) (actual time=0.010..0.064 rows=81 loops=1)

357. 0.064 0.064 ↑ 1.0 81 1

Seq Scan on datas_part_0000009195 (cost=0.00..28.81 rows=81 width=655) (actual time=0.009..0.064 rows=81 loops=1)

358. 0.061 0.061 ↑ 1.0 81 1

Seq Scan on datas_part_0000009196 (cost=0.00..21.81 rows=81 width=656) (actual time=0.009..0.061 rows=81 loops=1)

359. 0.063 0.063 ↑ 1.0 81 1

Seq Scan on datas_part_0000009197 (cost=0.00..29.81 rows=81 width=656) (actual time=0.008..0.063 rows=81 loops=1)

360. 0.063 0.063 ↑ 1.0 81 1

Seq Scan on datas_part_0000009198 (cost=0.00..25.81 rows=81 width=658) (actual time=0.009..0.063 rows=81 loops=1)

361. 0.062 0.062 ↑ 1.0 81 1

Seq Scan on datas_part_0000009199 (cost=0.00..24.81 rows=81 width=656) (actual time=0.008..0.062 rows=81 loops=1)

362. 0.061 0.061 ↑ 1.0 81 1

Seq Scan on datas_part_0000009200 (cost=0.00..25.81 rows=81 width=658) (actual time=0.009..0.061 rows=81 loops=1)

363. 0.062 0.062 ↑ 1.0 81 1

Seq Scan on datas_part_0000009201 (cost=0.00..24.81 rows=81 width=658) (actual time=0.009..0.062 rows=81 loops=1)

364. 0.065 0.065 ↑ 1.0 81 1

Seq Scan on datas_part_0000009202 (cost=0.00..25.81 rows=81 width=655) (actual time=0.009..0.065 rows=81 loops=1)

365. 0.139 0.139 ↑ 1.0 81 1

Seq Scan on datas_part_0000009203 (cost=0.00..25.81 rows=81 width=658) (actual time=0.009..0.139 rows=81 loops=1)

366. 0.064 0.064 ↑ 1.0 81 1

Seq Scan on datas_part_0000009204 (cost=0.00..23.81 rows=81 width=658) (actual time=0.011..0.064 rows=81 loops=1)

367. 0.062 0.062 ↑ 1.0 81 1

Seq Scan on datas_part_0000009205 (cost=0.00..24.81 rows=81 width=656) (actual time=0.008..0.062 rows=81 loops=1)

368. 0.064 0.064 ↑ 1.0 81 1

Seq Scan on datas_part_0000009207 (cost=0.00..26.81 rows=81 width=659) (actual time=0.010..0.064 rows=81 loops=1)

369. 0.078 0.078 ↑ 1.0 81 1

Seq Scan on datas_part_0000009208 (cost=0.00..50.81 rows=81 width=652) (actual time=0.009..0.078 rows=81 loops=1)

370. 0.061 0.061 ↑ 1.0 81 1

Seq Scan on datas_part_0000009209 (cost=0.00..24.81 rows=81 width=658) (actual time=0.010..0.061 rows=81 loops=1)

371. 0.060 0.060 ↑ 1.0 81 1

Seq Scan on datas_part_0000009210 (cost=0.00..24.81 rows=81 width=652) (actual time=0.009..0.060 rows=81 loops=1)

372. 0.083 0.083 ↑ 1.0 81 1

Seq Scan on datas_part_0000009211 (cost=0.00..20.81 rows=81 width=650) (actual time=0.010..0.083 rows=81 loops=1)

373. 0.064 0.064 ↑ 1.0 81 1

Seq Scan on datas_part_0000009212 (cost=0.00..24.81 rows=81 width=653) (actual time=0.010..0.064 rows=81 loops=1)

374. 0.064 0.064 ↑ 1.0 83 1

Seq Scan on datas_part_0000009213 (cost=0.00..22.83 rows=83 width=657) (actual time=0.009..0.064 rows=83 loops=1)

375. 0.071 0.071 ↑ 1.0 81 1

Seq Scan on datas_part_0000009214 (cost=0.00..37.81 rows=81 width=658) (actual time=0.009..0.071 rows=81 loops=1)

376. 0.063 0.063 ↑ 1.0 81 1

Seq Scan on datas_part_0000009215 (cost=0.00..25.81 rows=81 width=658) (actual time=0.009..0.063 rows=81 loops=1)

377. 0.062 0.062 ↑ 1.0 78 1

Seq Scan on datas_part_0000009216 (cost=0.00..24.78 rows=78 width=656) (actual time=0.009..0.062 rows=78 loops=1)

378. 0.061 0.061 ↑ 1.0 81 1

Seq Scan on datas_part_0000009217 (cost=0.00..23.81 rows=81 width=656) (actual time=0.009..0.061 rows=81 loops=1)

379. 0.063 0.063 ↑ 1.0 81 1

Seq Scan on datas_part_0000009218 (cost=0.00..25.81 rows=81 width=656) (actual time=0.010..0.063 rows=81 loops=1)

380. 0.065 0.065 ↑ 1.0 83 1

Seq Scan on datas_part_0000009219 (cost=0.00..24.83 rows=83 width=655) (actual time=0.009..0.065 rows=83 loops=1)

381. 0.061 0.061 ↑ 1.0 81 1

Seq Scan on datas_part_0000009220 (cost=0.00..24.81 rows=81 width=659) (actual time=0.009..0.061 rows=81 loops=1)

382. 0.061 0.061 ↑ 1.0 81 1

Seq Scan on datas_part_0000009221 (cost=0.00..24.81 rows=81 width=656) (actual time=0.010..0.061 rows=81 loops=1)

383. 0.060 0.060 ↑ 1.0 77 1

Seq Scan on datas_part_0000009222 (cost=0.00..24.77 rows=77 width=653) (actual time=0.009..0.060 rows=77 loops=1)

384. 0.067 0.067 ↑ 1.0 81 1

Seq Scan on datas_part_0000009223 (cost=0.00..32.81 rows=81 width=656) (actual time=0.010..0.067 rows=81 loops=1)

385. 0.060 0.060 ↑ 1.0 81 1

Seq Scan on datas_part_0000009224 (cost=0.00..20.81 rows=81 width=659) (actual time=0.009..0.060 rows=81 loops=1)

386. 0.059 0.059 ↑ 1.0 81 1

Seq Scan on datas_part_0000009225 (cost=0.00..21.81 rows=81 width=657) (actual time=0.009..0.059 rows=81 loops=1)

387. 0.058 0.058 ↑ 1.0 81 1

Seq Scan on datas_part_0000009226 (cost=0.00..20.81 rows=81 width=656) (actual time=0.008..0.058 rows=81 loops=1)

388. 0.064 0.064 ↑ 1.0 80 1

Seq Scan on datas_part_0000009227 (cost=0.00..27.80 rows=80 width=662) (actual time=0.009..0.064 rows=80 loops=1)

389. 0.055 0.055 ↑ 1.0 79 1

Seq Scan on datas_part_0000009228 (cost=0.00..15.79 rows=79 width=655) (actual time=0.009..0.055 rows=79 loops=1)

390. 0.069 0.069 ↑ 1.0 81 1

Seq Scan on datas_part_0000009229 (cost=0.00..34.81 rows=81 width=656) (actual time=0.009..0.069 rows=81 loops=1)

391. 0.060 0.060 ↑ 1.0 79 1

Seq Scan on datas_part_0000009230 (cost=0.00..23.79 rows=79 width=654) (actual time=0.009..0.060 rows=79 loops=1)

392. 0.063 0.063 ↑ 1.0 81 1

Seq Scan on datas_part_0000009231 (cost=0.00..24.81 rows=81 width=654) (actual time=0.009..0.063 rows=81 loops=1)

393. 0.063 0.063 ↑ 1.0 81 1

Seq Scan on datas_part_0000009232 (cost=0.00..24.81 rows=81 width=656) (actual time=0.010..0.063 rows=81 loops=1)

394. 0.075 0.075 ↑ 1.0 81 1

Seq Scan on datas_part_0000009234 (cost=0.00..28.81 rows=81 width=658) (actual time=0.012..0.075 rows=81 loops=1)

395. 0.060 0.060 ↑ 1.0 80 1

Seq Scan on datas_part_0000009235 (cost=0.00..23.80 rows=80 width=662) (actual time=0.009..0.060 rows=80 loops=1)

396. 0.060 0.060 ↑ 1.0 80 1

Seq Scan on datas_part_0000009236 (cost=0.00..23.80 rows=80 width=663) (actual time=0.009..0.060 rows=80 loops=1)

397. 0.059 0.059 ↑ 1.0 77 1

Seq Scan on datas_part_0000009237 (cost=0.00..24.77 rows=77 width=655) (actual time=0.009..0.059 rows=77 loops=1)

398. 0.062 0.062 ↑ 1.0 81 1

Seq Scan on datas_part_0000009238 (cost=0.00..30.81 rows=81 width=656) (actual time=0.009..0.062 rows=81 loops=1)

399. 0.062 0.062 ↑ 1.0 81 1

Seq Scan on datas_part_0000009239 (cost=0.00..25.81 rows=81 width=656) (actual time=0.009..0.062 rows=81 loops=1)

400. 0.062 0.062 ↑ 1.0 78 1

Seq Scan on datas_part_0000009240 (cost=0.00..28.78 rows=78 width=664) (actual time=0.009..0.062 rows=78 loops=1)

401. 0.065 0.065 ↑ 1.0 81 1

Seq Scan on datas_part_0000009241 (cost=0.00..22.81 rows=81 width=655) (actual time=0.010..0.065 rows=81 loops=1)

402. 0.066 0.066 ↑ 1.0 79 1

Seq Scan on datas_part_0000009242 (cost=0.00..37.79 rows=79 width=656) (actual time=0.009..0.066 rows=79 loops=1)

403. 0.062 0.062 ↑ 1.0 81 1

Seq Scan on datas_part_0000009243 (cost=0.00..26.81 rows=81 width=658) (actual time=0.009..0.062 rows=81 loops=1)

404. 0.064 0.064 ↑ 1.0 81 1

Seq Scan on datas_part_0000009244 (cost=0.00..28.81 rows=81 width=658) (actual time=0.009..0.064 rows=81 loops=1)

405. 0.065 0.065 ↑ 1.0 83 1

Seq Scan on datas_part_0000009245 (cost=0.00..22.83 rows=83 width=658) (actual time=0.009..0.065 rows=83 loops=1)

406. 0.061 0.061 ↑ 1.0 81 1

Seq Scan on datas_part_0000009246 (cost=0.00..21.81 rows=81 width=656) (actual time=0.010..0.061 rows=81 loops=1)

407. 0.068 0.068 ↑ 1.0 80 1

Seq Scan on datas_part_0000009247 (cost=0.00..29.80 rows=80 width=662) (actual time=0.009..0.068 rows=80 loops=1)

408. 0.078 0.078 ↑ 1.0 81 1

Seq Scan on datas_part_0000009248 (cost=0.00..24.81 rows=81 width=658) (actual time=0.011..0.078 rows=81 loops=1)

409. 0.065 0.065 ↑ 1.0 81 1

Seq Scan on datas_part_0000009249 (cost=0.00..26.81 rows=81 width=656) (actual time=0.009..0.065 rows=81 loops=1)

410. 0.066 0.066 ↑ 1.0 83 1

Seq Scan on datas_part_0000009250 (cost=0.00..28.83 rows=83 width=655) (actual time=0.009..0.066 rows=83 loops=1)

411. 0.072 0.072 ↑ 1.0 81 1

Seq Scan on datas_part_0000009251 (cost=0.00..41.81 rows=81 width=656) (actual time=0.009..0.072 rows=81 loops=1)

412. 0.065 0.065 ↑ 1.0 81 1

Seq Scan on datas_part_0000009252 (cost=0.00..30.81 rows=81 width=658) (actual time=0.009..0.065 rows=81 loops=1)

413. 0.063 0.063 ↑ 1.0 81 1

Seq Scan on datas_part_0000009253 (cost=0.00..30.81 rows=81 width=658) (actual time=0.008..0.063 rows=81 loops=1)

414. 0.063 0.063 ↑ 1.0 81 1

Seq Scan on datas_part_0000009254 (cost=0.00..27.81 rows=81 width=656) (actual time=0.009..0.063 rows=81 loops=1)

415. 0.062 0.062 ↑ 1.0 81 1

Seq Scan on datas_part_0000009255 (cost=0.00..24.81 rows=81 width=658) (actual time=0.009..0.062 rows=81 loops=1)

416. 0.063 0.063 ↑ 1.0 81 1

Seq Scan on datas_part_0000009256 (cost=0.00..23.81 rows=81 width=649) (actual time=0.009..0.063 rows=81 loops=1)

417. 0.062 0.062 ↑ 1.0 79 1

Seq Scan on datas_part_0000009257 (cost=0.00..28.79 rows=79 width=654) (actual time=0.009..0.062 rows=79 loops=1)

418. 0.060 0.060 ↑ 1.0 79 1

Seq Scan on datas_part_0000009258 (cost=0.00..20.79 rows=79 width=652) (actual time=0.009..0.060 rows=79 loops=1)

419. 0.063 0.063 ↑ 1.0 79 1

Seq Scan on datas_part_0000009259 (cost=0.00..23.79 rows=79 width=653) (actual time=0.009..0.063 rows=79 loops=1)

420. 0.060 0.060 ↑ 1.0 79 1

Seq Scan on datas_part_0000009260 (cost=0.00..20.79 rows=79 width=654) (actual time=0.009..0.060 rows=79 loops=1)

421. 0.089 0.089 ↑ 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=0.021..0.089 rows=81 loops=1)

422. 0.067 0.067 ↑ 1.0 79 1

Seq Scan on datas_part_0000009262 (cost=0.00..25.79 rows=79 width=653) (actual time=0.012..0.067 rows=79 loops=1)

423. 0.076 0.076 ↑ 1.0 81 1

Seq Scan on datas_part_0000009263 (cost=0.00..43.81 rows=81 width=658) (actual time=0.011..0.076 rows=81 loops=1)

424. 0.056 0.056 ↑ 1.0 79 1

Seq Scan on datas_part_0000009264 (cost=0.00..16.79 rows=79 width=647) (actual time=0.009..0.056 rows=79 loops=1)

425. 0.061 0.061 ↑ 1.0 79 1

Seq Scan on datas_part_0000009265 (cost=0.00..25.79 rows=79 width=654) (actual time=0.009..0.061 rows=79 loops=1)

426. 0.066 0.066 ↑ 1.0 81 1

Seq Scan on datas_part_0000009266 (cost=0.00..31.81 rows=81 width=658) (actual time=0.010..0.066 rows=81 loops=1)

427. 0.059 0.059 ↑ 1.0 81 1

Seq Scan on datas_part_0000009267 (cost=0.00..19.81 rows=81 width=658) (actual time=0.009..0.059 rows=81 loops=1)

428. 0.060 0.060 ↑ 1.0 81 1

Seq Scan on datas_part_0000009268 (cost=0.00..24.81 rows=81 width=655) (actual time=0.009..0.060 rows=81 loops=1)

429. 0.062 0.062 ↑ 1.0 79 1

Seq Scan on datas_part_0000009269 (cost=0.00..24.79 rows=79 width=654) (actual time=0.009..0.062 rows=79 loops=1)

430. 0.069 0.069 ↑ 1.0 81 1

Seq Scan on datas_part_0000009270 (cost=0.00..35.81 rows=81 width=652) (actual time=0.009..0.069 rows=81 loops=1)

431. 0.061 0.061 ↑ 1.0 81 1

Seq Scan on datas_part_0000009271 (cost=0.00..23.81 rows=81 width=659) (actual time=0.009..0.061 rows=81 loops=1)

432. 0.060 0.060 ↑ 1.0 79 1

Seq Scan on datas_part_0000009272 (cost=0.00..25.79 rows=79 width=654) (actual time=0.010..0.060 rows=79 loops=1)

433. 0.062 0.062 ↑ 1.0 81 1

Seq Scan on datas_part_0000009273 (cost=0.00..23.81 rows=81 width=656) (actual time=0.009..0.062 rows=81 loops=1)

434. 0.061 0.061 ↑ 1.0 81 1

Seq Scan on datas_part_0000009274 (cost=0.00..20.81 rows=81 width=650) (actual time=0.009..0.061 rows=81 loops=1)

435. 0.058 0.058 ↑ 1.0 81 1

Seq Scan on datas_part_0000009275 (cost=0.00..17.81 rows=81 width=656) (actual time=0.010..0.058 rows=81 loops=1)

436. 0.067 0.067 ↑ 1.0 81 1

Seq Scan on datas_part_0000009276 (cost=0.00..27.81 rows=81 width=654) (actual time=0.009..0.067 rows=81 loops=1)

437. 0.080 0.080 ↑ 1.0 81 1

Seq Scan on datas_part_0000009277 (cost=0.00..30.81 rows=81 width=650) (actual time=0.009..0.080 rows=81 loops=1)

438. 0.068 0.068 ↑ 1.0 81 1

Seq Scan on datas_part_0000009278 (cost=0.00..26.81 rows=81 width=656) (actual time=0.012..0.068 rows=81 loops=1)

439. 0.063 0.063 ↑ 1.0 81 1

Seq Scan on datas_part_0000009279 (cost=0.00..23.81 rows=81 width=656) (actual time=0.010..0.063 rows=81 loops=1)

440. 0.063 0.063 ↑ 1.0 79 1

Seq Scan on datas_part_0000009280 (cost=0.00..24.79 rows=79 width=653) (actual time=0.010..0.063 rows=79 loops=1)

441. 0.056 0.056 ↑ 1.0 81 1

Seq Scan on datas_part_0000009281 (cost=0.00..15.81 rows=81 width=649) (actual time=0.009..0.056 rows=81 loops=1)

442. 0.061 0.061 ↑ 1.0 78 1

Seq Scan on datas_part_0000009282 (cost=0.00..25.78 rows=78 width=661) (actual time=0.009..0.061 rows=78 loops=1)

443. 0.064 0.064 ↑ 1.0 79 1

Seq Scan on datas_part_0000009283 (cost=0.00..22.79 rows=79 width=654) (actual time=0.008..0.064 rows=79 loops=1)

444. 0.063 0.063 ↑ 1.0 79 1

Seq Scan on datas_part_0000009284 (cost=0.00..29.79 rows=79 width=654) (actual time=0.009..0.063 rows=79 loops=1)

445. 0.093 0.093 ↑ 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=0.026..0.093 rows=79 loops=1)

446. 0.069 0.069 ↑ 1.0 81 1

Seq Scan on datas_part_0000009286 (cost=0.00..27.81 rows=81 width=656) (actual time=0.011..0.069 rows=81 loops=1)

447. 0.065 0.065 ↑ 1.0 79 1

Seq Scan on datas_part_0000009287 (cost=0.00..32.79 rows=79 width=652) (actual time=0.009..0.065 rows=79 loops=1)

448. 0.061 0.061 ↑ 1.0 79 1

Seq Scan on datas_part_0000009288 (cost=0.00..27.79 rows=79 width=654) (actual time=0.009..0.061 rows=79 loops=1)

449. 0.059 0.059 ↑ 1.0 79 1

Seq Scan on datas_part_0000009289 (cost=0.00..24.79 rows=79 width=654) (actual time=0.009..0.059 rows=79 loops=1)

450. 0.064 0.064 ↑ 1.0 79 1

Seq Scan on datas_part_0000009291 (cost=0.00..31.79 rows=79 width=653) (actual time=0.009..0.064 rows=79 loops=1)

451. 0.089 0.089 ↑ 1.0 81 1

Seq Scan on datas_part_0000009292 (cost=0.00..24.81 rows=81 width=658) (actual time=0.009..0.089 rows=81 loops=1)

452. 0.068 0.068 ↑ 1.0 81 1

Seq Scan on datas_part_0000009293 (cost=0.00..28.81 rows=81 width=655) (actual time=0.010..0.068 rows=81 loops=1)

453. 0.060 0.060 ↑ 1.0 79 1

Seq Scan on datas_part_0000009294 (cost=0.00..21.79 rows=79 width=651) (actual time=0.008..0.060 rows=79 loops=1)

454. 0.065 0.065 ↑ 1.0 81 1

Seq Scan on datas_part_0000009295 (cost=0.00..27.81 rows=81 width=656) (actual time=0.009..0.065 rows=81 loops=1)

455. 0.063 0.063 ↑ 1.0 81 1

Seq Scan on datas_part_0000009296 (cost=0.00..27.81 rows=81 width=656) (actual time=0.009..0.063 rows=81 loops=1)

456. 0.062 0.062 ↑ 1.0 80 1

Seq Scan on datas_part_0000009297 (cost=0.00..26.80 rows=80 width=661) (actual time=0.009..0.062 rows=80 loops=1)

457. 0.064 0.064 ↑ 1.0 81 1

Seq Scan on datas_part_0000009298 (cost=0.00..22.81 rows=81 width=658) (actual time=0.008..0.064 rows=81 loops=1)

458. 0.059 0.059 ↑ 1.0 81 1

Seq Scan on datas_part_0000009299 (cost=0.00..20.81 rows=81 width=655) (actual time=0.009..0.059 rows=81 loops=1)

459. 0.068 0.068 ↑ 1.0 78 1

Seq Scan on datas_part_0000009300 (cost=0.00..37.78 rows=78 width=660) (actual time=0.009..0.068 rows=78 loops=1)

460. 0.064 0.064 ↑ 1.0 81 1

Seq Scan on datas_part_0000009301 (cost=0.00..28.81 rows=81 width=656) (actual time=0.009..0.064 rows=81 loops=1)

461. 0.062 0.062 ↑ 1.0 81 1

Seq Scan on datas_part_0000009302 (cost=0.00..27.81 rows=81 width=656) (actual time=0.009..0.062 rows=81 loops=1)

462. 0.066 0.066 ↑ 1.0 83 1

Seq Scan on datas_part_0000009303 (cost=0.00..27.83 rows=83 width=658) (actual time=0.009..0.066 rows=83 loops=1)

463. 0.059 0.059 ↑ 1.0 81 1

Seq Scan on datas_part_0000009304 (cost=0.00..18.81 rows=81 width=656) (actual time=0.009..0.059 rows=81 loops=1)

464. 0.062 0.062 ↑ 1.0 81 1

Seq Scan on datas_part_0000009305 (cost=0.00..26.81 rows=81 width=655) (actual time=0.009..0.062 rows=81 loops=1)

465. 0.061 0.061 ↑ 1.0 81 1

Seq Scan on datas_part_0000009306 (cost=0.00..23.81 rows=81 width=656) (actual time=0.010..0.061 rows=81 loops=1)

466. 0.064 0.064 ↑ 1.0 81 1

Seq Scan on datas_part_0000009307 (cost=0.00..23.81 rows=81 width=656) (actual time=0.009..0.064 rows=81 loops=1)

467. 0.064 0.064 ↑ 1.0 81 1

Seq Scan on datas_part_0000009309 (cost=0.00..22.81 rows=81 width=654) (actual time=0.012..0.064 rows=81 loops=1)

468. 0.062 0.062 ↑ 1.0 81 1

Seq Scan on datas_part_0000009310 (cost=0.00..23.81 rows=81 width=656) (actual time=0.009..0.062 rows=81 loops=1)

469. 0.062 0.062 ↑ 1.0 81 1

Seq Scan on datas_part_0000009311 (cost=0.00..22.81 rows=81 width=658) (actual time=0.009..0.062 rows=81 loops=1)

470. 0.061 0.061 ↑ 1.0 81 1

Seq Scan on datas_part_0000009312 (cost=0.00..21.81 rows=81 width=658) (actual time=0.009..0.061 rows=81 loops=1)

471. 0.061 0.061 ↑ 1.0 80 1

Seq Scan on datas_part_0000009313 (cost=0.00..25.80 rows=80 width=660) (actual time=0.009..0.061 rows=80 loops=1)

472. 0.062 0.062 ↑ 1.0 81 1

Seq Scan on datas_part_0000009314 (cost=0.00..25.81 rows=81 width=656) (actual time=0.008..0.062 rows=81 loops=1)

473. 0.060 0.060 ↑ 1.0 81 1

Seq Scan on datas_part_0000009315 (cost=0.00..23.81 rows=81 width=658) (actual time=0.009..0.060 rows=81 loops=1)

474. 0.062 0.062 ↑ 1.0 81 1

Seq Scan on datas_part_0000009316 (cost=0.00..23.81 rows=81 width=657) (actual time=0.010..0.062 rows=81 loops=1)

475. 0.061 0.061 ↑ 1.0 83 1

Seq Scan on datas_part_0000009317 (cost=0.00..24.83 rows=83 width=655) (actual time=0.009..0.061 rows=83 loops=1)

476. 0.066 0.066 ↑ 1.0 83 1

Seq Scan on datas_part_0000009318 (cost=0.00..27.83 rows=83 width=658) (actual time=0.009..0.066 rows=83 loops=1)

477. 0.065 0.065 ↑ 1.0 81 1

Seq Scan on datas_part_0000009319 (cost=0.00..29.81 rows=81 width=656) (actual time=0.009..0.065 rows=81 loops=1)

478. 0.061 0.061 ↑ 1.0 81 1

Seq Scan on datas_part_0000009320 (cost=0.00..22.81 rows=81 width=658) (actual time=0.010..0.061 rows=81 loops=1)

479. 0.062 0.062 ↑ 1.0 81 1

Seq Scan on datas_part_0000009321 (cost=0.00..26.81 rows=81 width=655) (actual time=0.009..0.062 rows=81 loops=1)

480. 0.083 0.083 ↑ 1.0 81 1

Seq Scan on datas_part_0000009322 (cost=0.00..27.81 rows=81 width=655) (actual time=0.009..0.083 rows=81 loops=1)

481. 0.066 0.066 ↑ 1.0 81 1

Seq Scan on datas_part_0000009323 (cost=0.00..27.81 rows=81 width=656) (actual time=0.012..0.066 rows=81 loops=1)

482. 0.059 0.059 ↑ 1.0 79 1

Seq Scan on datas_part_0000009324 (cost=0.00..23.79 rows=79 width=655) (actual time=0.009..0.059 rows=79 loops=1)

483. 0.062 0.062 ↑ 1.0 81 1

Seq Scan on datas_part_0000009325 (cost=0.00..23.81 rows=81 width=658) (actual time=0.009..0.062 rows=81 loops=1)

484. 0.066 0.066 ↑ 1.0 81 1

Seq Scan on datas_part_0000009326 (cost=0.00..27.81 rows=81 width=656) (actual time=0.009..0.066 rows=81 loops=1)

485. 0.056 0.056 ↑ 1.0 79 1

Seq Scan on datas_part_0000009327 (cost=0.00..19.79 rows=79 width=655) (actual time=0.009..0.056 rows=79 loops=1)

486. 0.056 0.056 ↑ 1.0 79 1

Seq Scan on datas_part_0000009328 (cost=0.00..18.79 rows=79 width=655) (actual time=0.009..0.056 rows=79 loops=1)

487. 0.065 0.065 ↑ 1.0 79 1

Seq Scan on datas_part_0000009329 (cost=0.00..30.79 rows=79 width=654) (actual time=0.010..0.065 rows=79 loops=1)

488. 0.063 0.063 ↑ 1.0 81 1

Seq Scan on datas_part_0000009330 (cost=0.00..25.81 rows=81 width=658) (actual time=0.008..0.063 rows=81 loops=1)

489. 0.062 0.062 ↑ 1.0 81 1

Seq Scan on datas_part_0000009331 (cost=0.00..25.81 rows=81 width=658) (actual time=0.010..0.062 rows=81 loops=1)

490. 0.062 0.062 ↑ 1.0 81 1

Seq Scan on datas_part_0000009332 (cost=0.00..28.81 rows=81 width=658) (actual time=0.009..0.062 rows=81 loops=1)

491. 0.059 0.059 ↑ 1.0 79 1

Seq Scan on datas_part_0000009333 (cost=0.00..23.79 rows=79 width=654) (actual time=0.009..0.059 rows=79 loops=1)

492. 0.063 0.063 ↑ 1.0 79 1

Seq Scan on datas_part_0000009334 (cost=0.00..24.79 rows=79 width=654) (actual time=0.009..0.063 rows=79 loops=1)

493. 0.089 0.089 ↑ 1.0 79 1

Seq Scan on datas_part_0000009335 (cost=0.00..26.79 rows=79 width=655) (actual time=0.009..0.089 rows=79 loops=1)

494. 0.069 0.069 ↑ 1.0 83 1

Seq Scan on datas_part_0000009336 (cost=0.00..29.83 rows=83 width=658) (actual time=0.011..0.069 rows=83 loops=1)

495. 0.097 0.097 ↑ 1.0 77 1

Seq Scan on datas_part_0000009337 (cost=0.00..24.77 rows=77 width=653) (actual time=0.009..0.097 rows=77 loops=1)

496. 0.091 0.091 ↑ 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=0.018..0.091 rows=79 loops=1)

497. 0.070 0.070 ↑ 1.0 81 1

Seq Scan on datas_part_0000009339 (cost=0.00..29.81 rows=81 width=658) (actual time=0.012..0.070 rows=81 loops=1)

498. 0.060 0.060 ↑ 1.0 81 1

Seq Scan on datas_part_0000009340 (cost=0.00..22.81 rows=81 width=658) (actual time=0.010..0.060 rows=81 loops=1)

499. 0.059 0.059 ↑ 1.0 79 1

Seq Scan on datas_part_0000009341 (cost=0.00..25.79 rows=79 width=653) (actual time=0.009..0.059 rows=79 loops=1)

500. 0.061 0.061 ↑ 1.0 77 1

Seq Scan on datas_part_0000009342 (cost=0.00..27.77 rows=77 width=653) (actual time=0.009..0.061 rows=77 loops=1)

501. 0.057 0.057 ↑ 1.0 79 1

Seq Scan on datas_part_0000009343 (cost=0.00..24.79 rows=79 width=654) (actual time=0.009..0.057 rows=79 loops=1)

502. 0.057 0.057 ↑ 1.0 79 1

Seq Scan on datas_part_0000009344 (cost=0.00..19.79 rows=79 width=654) (actual time=0.009..0.057 rows=79 loops=1)

503. 0.057 0.057 ↑ 1.0 81 1

Seq Scan on datas_part_0000009345 (cost=0.00..18.81 rows=81 width=659) (actual time=0.009..0.057 rows=81 loops=1)

504. 0.061 0.061 ↑ 1.0 81 1

Seq Scan on datas_part_0000009346 (cost=0.00..20.81 rows=81 width=655) (actual time=0.009..0.061 rows=81 loops=1)

505. 0.065 0.065 ↑ 1.0 81 1

Seq Scan on datas_part_0000009347 (cost=0.00..27.81 rows=81 width=658) (actual time=0.009..0.065 rows=81 loops=1)

506. 0.062 0.062 ↑ 1.0 81 1

Seq Scan on datas_part_0000009348 (cost=0.00..27.81 rows=81 width=658) (actual time=0.009..0.062 rows=81 loops=1)

507. 0.058 0.058 ↑ 1.0 79 1

Seq Scan on datas_part_0000009349 (cost=0.00..21.79 rows=79 width=654) (actual time=0.009..0.058 rows=79 loops=1)

508. 0.061 0.061 ↑ 1.0 79 1

Seq Scan on datas_part_0000009350 (cost=0.00..23.79 rows=79 width=654) (actual time=0.009..0.061 rows=79 loops=1)

509. 0.065 0.065 ↑ 1.0 81 1

Seq Scan on datas_part_0000009351 (cost=0.00..26.81 rows=81 width=656) (actual time=0.009..0.065 rows=81 loops=1)

510. 0.065 0.065 ↑ 1.0 81 1

Seq Scan on datas_part_0000009352 (cost=0.00..22.81 rows=81 width=656) (actual time=0.010..0.065 rows=81 loops=1)

511. 0.065 0.065 ↑ 1.0 81 1

Seq Scan on datas_part_0000009353 (cost=0.00..25.81 rows=81 width=657) (actual time=0.012..0.065 rows=81 loops=1)

512. 0.057 0.057 ↑ 1.0 76 1

Seq Scan on datas_part_0000009354 (cost=0.00..20.76 rows=76 width=659) (actual time=0.009..0.057 rows=76 loops=1)

513. 0.061 0.061 ↑ 1.0 81 1

Seq Scan on datas_part_0000009355 (cost=0.00..21.81 rows=81 width=658) (actual time=0.009..0.061 rows=81 loops=1)

514. 0.099 0.099 ↑ 1.0 79 1

Seq Scan on datas_part_0000009356 (cost=0.00..26.79 rows=79 width=656) (actual time=0.009..0.099 rows=79 loops=1)

515. 0.063 0.063 ↑ 1.0 80 1

Seq Scan on datas_part_0000009357 (cost=0.00..26.80 rows=80 width=664) (actual time=0.010..0.063 rows=80 loops=1)

516. 0.064 0.064 ↑ 1.0 79 1

Seq Scan on datas_part_0000009358 (cost=0.00..26.79 rows=79 width=653) (actual time=0.009..0.064 rows=79 loops=1)

517. 0.064 0.064 ↑ 1.0 81 1

Seq Scan on datas_part_0000009359 (cost=0.00..26.81 rows=81 width=656) (actual time=0.009..0.064 rows=81 loops=1)

518. 0.062 0.062 ↑ 1.0 81 1

Seq Scan on datas_part_0000009360 (cost=0.00..25.81 rows=81 width=656) (actual time=0.009..0.062 rows=81 loops=1)

519. 0.062 0.062 ↑ 1.0 80 1

Seq Scan on datas_part_0000009361 (cost=0.00..24.80 rows=80 width=664) (actual time=0.009..0.062 rows=80 loops=1)

520. 0.060 0.060 ↑ 1.0 83 1

Seq Scan on datas_part_0000009362 (cost=0.00..20.83 rows=83 width=659) (actual time=0.008..0.060 rows=83 loops=1)

521. 0.061 0.061 ↑ 1.0 81 1

Seq Scan on datas_part_0000009363 (cost=0.00..24.81 rows=81 width=659) (actual time=0.009..0.061 rows=81 loops=1)

522. 0.070 0.070 ↑ 1.0 81 1

Seq Scan on datas_part_0000009364 (cost=0.00..42.81 rows=81 width=656) (actual time=0.009..0.070 rows=81 loops=1)

523. 0.061 0.061 ↑ 1.0 81 1

Seq Scan on datas_part_0000009365 (cost=0.00..28.81 rows=81 width=658) (actual time=0.008..0.061 rows=81 loops=1)

524. 0.106 0.106 ↑ 1.0 81 1

Seq Scan on datas_part_0000009366 (cost=0.00..19.81 rows=81 width=658) (actual time=0.010..0.106 rows=81 loops=1)

525. 0.099 0.099 ↑ 1.0 78 1

Seq Scan on datas_part_0000009367 (cost=0.00..24.78 rows=78 width=661) (actual time=0.011..0.099 rows=78 loops=1)

526. 0.075 0.075 ↑ 1.0 78 1

Seq Scan on datas_part_0000009368 (cost=0.00..51.78 rows=78 width=659) (actual time=0.009..0.075 rows=78 loops=1)

527. 0.061 0.061 ↑ 1.0 81 1

Seq Scan on datas_part_0000009369 (cost=0.00..25.81 rows=81 width=659) (actual time=0.009..0.061 rows=81 loops=1)

528. 0.064 0.064 ↑ 1.0 81 1

Seq Scan on datas_part_0000009370 (cost=0.00..26.81 rows=81 width=656) (actual time=0.009..0.064 rows=81 loops=1)

529. 0.063 0.063 ↑ 1.0 79 1

Seq Scan on datas_part_0000009371 (cost=0.00..23.79 rows=79 width=657) (actual time=0.011..0.063 rows=79 loops=1)

530. 0.062 0.062 ↑ 1.0 81 1

Seq Scan on datas_part_0000009372 (cost=0.00..24.81 rows=81 width=659) (actual time=0.010..0.062 rows=81 loops=1)

531. 0.060 0.060 ↑ 1.0 81 1

Seq Scan on datas_part_0000009373 (cost=0.00..23.81 rows=81 width=659) (actual time=0.009..0.060 rows=81 loops=1)

532. 0.063 0.063 ↑ 1.0 78 1

Seq Scan on datas_part_0000009374 (cost=0.00..26.78 rows=78 width=653) (actual time=0.009..0.063 rows=78 loops=1)

533. 0.060 0.060 ↑ 1.0 81 1

Seq Scan on datas_part_0000009375 (cost=0.00..25.81 rows=81 width=655) (actual time=0.009..0.060 rows=81 loops=1)

534. 0.065 0.065 ↑ 1.0 81 1

Seq Scan on datas_part_0000009376 (cost=0.00..25.81 rows=81 width=656) (actual time=0.009..0.065 rows=81 loops=1)

535. 0.063 0.063 ↑ 1.0 81 1

Seq Scan on datas_part_0000009377 (cost=0.00..31.81 rows=81 width=659) (actual time=0.009..0.063 rows=81 loops=1)

536. 0.058 0.058 ↑ 1.0 81 1

Seq Scan on datas_part_0000009378 (cost=0.00..19.81 rows=81 width=658) (actual time=0.009..0.058 rows=81 loops=1)

537. 0.059 0.059 ↑ 1.0 81 1

Seq Scan on datas_part_0000009379 (cost=0.00..24.81 rows=81 width=659) (actual time=0.009..0.059 rows=81 loops=1)

538. 0.061 0.061 ↑ 1.0 81 1

Seq Scan on datas_part_0000009380 (cost=0.00..25.81 rows=81 width=658) (actual time=0.009..0.061 rows=81 loops=1)

539. 0.080 0.080 ↑ 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=0.021..0.080 rows=78 loops=1)

540. 0.062 0.062 ↑ 1.0 81 1

Seq Scan on datas_part_0000009382 (cost=0.00..20.81 rows=81 width=655) (actual time=0.013..0.062 rows=81 loops=1)

541. 0.059 0.059 ↑ 1.0 78 1

Seq Scan on datas_part_0000009383 (cost=0.00..23.78 rows=78 width=661) (actual time=0.009..0.059 rows=78 loops=1)

542. 0.062 0.062 ↑ 1.0 81 1

Seq Scan on datas_part_0000009384 (cost=0.00..28.81 rows=81 width=659) (actual time=0.009..0.062 rows=81 loops=1)

543. 0.063 0.063 ↑ 1.0 81 1

Seq Scan on datas_part_0000009385 (cost=0.00..29.81 rows=81 width=659) (actual time=0.008..0.063 rows=81 loops=1)

544. 0.062 0.062 ↑ 1.0 81 1

Seq Scan on datas_part_0000009386 (cost=0.00..26.81 rows=81 width=659) (actual time=0.010..0.062 rows=81 loops=1)

545. 0.062 0.062 ↑ 1.0 80 1

Seq Scan on datas_part_0000009388 (cost=0.00..24.80 rows=80 width=665) (actual time=0.009..0.062 rows=80 loops=1)

546. 0.063 0.063 ↑ 1.0 83 1

Seq Scan on datas_part_0000009395 (cost=0.00..27.83 rows=83 width=657) (actual time=0.009..0.063 rows=83 loops=1)

547. 0.064 0.064 ↑ 1.0 77 1

Seq Scan on datas_part_0000009397 (cost=0.00..23.77 rows=77 width=655) (actual time=0.009..0.064 rows=77 loops=1)

548. 0.065 0.065 ↑ 1.0 81 1

Seq Scan on datas_part_0000009398 (cost=0.00..23.81 rows=81 width=658) (actual time=0.009..0.065 rows=81 loops=1)

549. 0.066 0.066 ↑ 1.0 81 1

Seq Scan on datas_part_0000009399 (cost=0.00..33.81 rows=81 width=650) (actual time=0.009..0.066 rows=81 loops=1)

550. 0.064 0.064 ↑ 1.0 79 1

Seq Scan on datas_part_0000009400 (cost=0.00..29.79 rows=79 width=655) (actual time=0.009..0.064 rows=79 loops=1)

551. 0.061 0.061 ↑ 1.0 79 1

Seq Scan on datas_part_0000009401 (cost=0.00..25.79 rows=79 width=656) (actual time=0.010..0.061 rows=79 loops=1)

552. 0.060 0.060 ↑ 1.0 79 1

Seq Scan on datas_part_0000009402 (cost=0.00..25.79 rows=79 width=657) (actual time=0.009..0.060 rows=79 loops=1)

553. 0.061 0.061 ↑ 1.0 79 1

Seq Scan on datas_part_0000009403 (cost=0.00..24.79 rows=79 width=657) (actual time=0.009..0.061 rows=79 loops=1)

554. 0.093 0.093 ↑ 1.0 79 1

Seq Scan on datas_part_0000009404 (cost=0.00..19.79 rows=79 width=657) (actual time=0.009..0.093 rows=79 loops=1)

555. 0.063 0.063 ↑ 1.0 79 1

Seq Scan on datas_part_0000009405 (cost=0.00..24.79 rows=79 width=657) (actual time=0.012..0.063 rows=79 loops=1)

556. 0.058 0.058 ↑ 1.0 79 1

Seq Scan on datas_part_0000009406 (cost=0.00..24.79 rows=79 width=657) (actual time=0.009..0.058 rows=79 loops=1)

557. 0.061 0.061 ↑ 1.0 77 1

Seq Scan on datas_part_0000009408 (cost=0.00..23.77 rows=77 width=655) (actual time=0.009..0.061 rows=77 loops=1)

558. 0.065 0.065 ↑ 1.0 83 1

Seq Scan on datas_part_0000009409 (cost=0.00..26.83 rows=83 width=657) (actual time=0.009..0.065 rows=83 loops=1)

559. 0.061 0.061 ↑ 1.0 77 1

Seq Scan on datas_part_0000009410 (cost=0.00..28.77 rows=77 width=655) (actual time=0.009..0.061 rows=77 loops=1)

560. 0.060 0.060 ↑ 1.0 81 1

Seq Scan on datas_part_0000009411 (cost=0.00..24.81 rows=81 width=655) (actual time=0.008..0.060 rows=81 loops=1)

561. 0.063 0.063 ↑ 1.0 81 1

Seq Scan on datas_part_0000009412 (cost=0.00..25.81 rows=81 width=655) (actual time=0.009..0.063 rows=81 loops=1)

562. 0.068 0.068 ↑ 1.0 81 1

Seq Scan on datas_part_0000009421 (cost=0.00..30.81 rows=81 width=657) (actual time=0.010..0.068 rows=81 loops=1)

563. 0.064 0.064 ↑ 1.0 81 1

Seq Scan on datas_part_0000009422 (cost=0.00..32.81 rows=81 width=658) (actual time=0.009..0.064 rows=81 loops=1)

564. 0.062 0.062 ↑ 1.0 81 1

Seq Scan on datas_part_0000009423 (cost=0.00..24.81 rows=81 width=656) (actual time=0.010..0.062 rows=81 loops=1)

565. 0.064 0.064 ↑ 1.0 81 1

Seq Scan on datas_part_0000009424 (cost=0.00..23.81 rows=81 width=650) (actual time=0.009..0.064 rows=81 loops=1)

566. 0.065 0.065 ↑ 1.0 81 1

Seq Scan on datas_part_0000009426 (cost=0.00..26.81 rows=81 width=650) (actual time=0.009..0.065 rows=81 loops=1)

567. 0.061 0.061 ↑ 1.0 81 1

Seq Scan on datas_part_0000009427 (cost=0.00..26.81 rows=81 width=655) (actual time=0.009..0.061 rows=81 loops=1)

568. 0.064 0.064 ↑ 1.0 81 1

Seq Scan on datas_part_0000009428 (cost=0.00..30.81 rows=81 width=658) (actual time=0.009..0.064 rows=81 loops=1)

569. 0.064 0.064 ↑ 1.0 81 1

Seq Scan on datas_part_0000009429 (cost=0.00..26.81 rows=81 width=656) (actual time=0.011..0.064 rows=81 loops=1)

570. 0.063 0.063 ↑ 1.0 81 1

Seq Scan on datas_part_0000009431 (cost=0.00..22.81 rows=81 width=659) (actual time=0.008..0.063 rows=81 loops=1)

571. 0.063 0.063 ↑ 1.0 81 1

Seq Scan on datas_part_0000009437 (cost=0.00..27.81 rows=81 width=656) (actual time=0.009..0.063 rows=81 loops=1)

572. 0.060 0.060 ↑ 1.0 79 1

Seq Scan on datas_part_0000009438 (cost=0.00..24.79 rows=79 width=653) (actual time=0.009..0.060 rows=79 loops=1)

573. 0.061 0.061 ↑ 1.0 83 1

Seq Scan on datas_part_0000009439 (cost=0.00..22.83 rows=83 width=657) (actual time=0.010..0.061 rows=83 loops=1)

574. 0.067 0.067 ↑ 1.0 81 1

Seq Scan on datas_part_0000009440 (cost=0.00..29.81 rows=81 width=659) (actual time=0.009..0.067 rows=81 loops=1)

575. 0.065 0.065 ↑ 1.0 81 1

Seq Scan on datas_part_0000009441 (cost=0.00..31.81 rows=81 width=655) (actual time=0.009..0.065 rows=81 loops=1)

576. 0.065 0.065 ↑ 1.0 87 1

Seq Scan on datas_part_0000009442 (cost=0.00..25.87 rows=87 width=662) (actual time=0.009..0.065 rows=87 loops=1)

577. 0.061 0.061 ↑ 1.0 81 1

Seq Scan on datas_part_0000009443 (cost=0.00..26.81 rows=81 width=650) (actual time=0.009..0.061 rows=81 loops=1)

578. 0.058 0.058 ↑ 1.0 79 1

Seq Scan on datas_part_0000009444 (cost=0.00..23.79 rows=79 width=657) (actual time=0.009..0.058 rows=79 loops=1)

579. 0.059 0.059 ↑ 1.0 80 1

Seq Scan on datas_part_0000009448 (cost=0.00..22.80 rows=80 width=661) (actual time=0.009..0.059 rows=80 loops=1)

580. 0.070 0.070 ↑ 1.0 79 1

Seq Scan on datas_part_0000009449 (cost=0.00..41.79 rows=79 width=655) (actual time=0.009..0.070 rows=79 loops=1)

581. 0.063 0.063 ↑ 1.0 81 1

Seq Scan on datas_part_0000009450 (cost=0.00..28.81 rows=81 width=652) (actual time=0.009..0.063 rows=81 loops=1)

582. 0.063 0.063 ↑ 1.0 81 1

Seq Scan on datas_part_0000009451 (cost=0.00..25.81 rows=81 width=658) (actual time=0.009..0.063 rows=81 loops=1)

583. 0.059 0.059 ↑ 1.0 79 1

Seq Scan on datas_part_0000009452 (cost=0.00..25.79 rows=79 width=654) (actual time=0.009..0.059 rows=79 loops=1)

584. 0.066 0.066 ↑ 1.0 79 1

Seq Scan on datas_part_0000009453 (cost=0.00..17.79 rows=79 width=656) (actual time=0.018..0.066 rows=79 loops=1)

585. 0.061 0.061 ↑ 1.0 79 1

Seq Scan on datas_part_0000009454 (cost=0.00..24.79 rows=79 width=659) (actual time=0.009..0.061 rows=79 loops=1)

586. 0.066 0.066 ↑ 1.0 81 1

Seq Scan on datas_part_0000009455 (cost=0.00..31.81 rows=81 width=655) (actual time=0.009..0.066 rows=81 loops=1)

587. 0.062 0.062 ↑ 1.0 81 1

Seq Scan on datas_part_0000009456 (cost=0.00..25.81 rows=81 width=656) (actual time=0.009..0.062 rows=81 loops=1)

588. 0.062 0.062 ↑ 1.0 81 1

Seq Scan on datas_part_0000009457 (cost=0.00..24.81 rows=81 width=659) (actual time=0.009..0.062 rows=81 loops=1)

589. 0.081 0.081 ↑ 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=0.017..0.081 rows=79 loops=1)

590. 0.070 0.070 ↑ 1.0 81 1

Seq Scan on datas_part_0000009459 (cost=0.00..30.81 rows=81 width=652) (actual time=0.012..0.070 rows=81 loops=1)

591. 0.060 0.060 ↑ 1.0 79 1

Seq Scan on datas_part_0000009460 (cost=0.00..22.79 rows=79 width=656) (actual time=0.010..0.060 rows=79 loops=1)

592. 0.066 0.066 ↑ 1.0 81 1

Seq Scan on datas_part_0000009461 (cost=0.00..28.81 rows=81 width=655) (actual time=0.010..0.066 rows=81 loops=1)

593. 0.063 0.063 ↑ 1.0 81 1

Seq Scan on datas_part_0000009462 (cost=0.00..26.81 rows=81 width=656) (actual time=0.009..0.063 rows=81 loops=1)

594. 0.062 0.062 ↑ 1.0 81 1

Seq Scan on datas_part_0000009463 (cost=0.00..25.81 rows=81 width=658) (actual time=0.009..0.062 rows=81 loops=1)

595. 0.061 0.061 ↑ 1.0 81 1

Seq Scan on datas_part_0000009464 (cost=0.00..27.81 rows=81 width=659) (actual time=0.008..0.061 rows=81 loops=1)

596. 0.060 0.060 ↑ 1.0 81 1

Seq Scan on datas_part_0000009465 (cost=0.00..27.81 rows=81 width=656) (actual time=0.008..0.060 rows=81 loops=1)

597. 0.063 0.063 ↑ 1.0 81 1

Seq Scan on datas_part_0000009466 (cost=0.00..24.81 rows=81 width=655) (actual time=0.009..0.063 rows=81 loops=1)

598. 0.065 0.065 ↑ 1.0 81 1

Seq Scan on datas_part_0000009467 (cost=0.00..26.81 rows=81 width=656) (actual time=0.012..0.065 rows=81 loops=1)

599. 0.061 0.061 ↑ 1.0 81 1

Seq Scan on datas_part_0000009468 (cost=0.00..23.81 rows=81 width=659) (actual time=0.008..0.061 rows=81 loops=1)

600. 0.062 0.062 ↑ 1.0 81 1

Seq Scan on datas_part_0000009469 (cost=0.00..23.81 rows=81 width=655) (actual time=0.009..0.062 rows=81 loops=1)

601. 0.061 0.061 ↑ 1.0 81 1

Seq Scan on datas_part_0000009470 (cost=0.00..26.81 rows=81 width=658) (actual time=0.009..0.061 rows=81 loops=1)

602. 0.063 0.063 ↑ 1.0 81 1

Seq Scan on datas_part_0000009472 (cost=0.00..26.81 rows=81 width=658) (actual time=0.010..0.063 rows=81 loops=1)

603. 0.060 0.060 ↑ 1.0 81 1

Seq Scan on datas_part_0000009473 (cost=0.00..19.81 rows=81 width=655) (actual time=0.009..0.060 rows=81 loops=1)

604. 0.062 0.062 ↑ 1.0 81 1

Seq Scan on datas_part_0000009474 (cost=0.00..25.81 rows=81 width=659) (actual time=0.009..0.062 rows=81 loops=1)

605. 0.060 0.060 ↑ 1.0 80 1

Seq Scan on datas_part_0000009475 (cost=0.00..23.80 rows=80 width=664) (actual time=0.009..0.060 rows=80 loops=1)

606. 0.064 0.064 ↑ 1.0 80 1

Seq Scan on datas_part_0000009476 (cost=0.00..30.80 rows=80 width=663) (actual time=0.009..0.064 rows=80 loops=1)

607. 0.061 0.061 ↑ 1.0 80 1

Seq Scan on datas_part_0000009477 (cost=0.00..24.80 rows=80 width=665) (actual time=0.009..0.061 rows=80 loops=1)

608. 0.063 0.063 ↑ 1.0 81 1

Seq Scan on datas_part_0000009479 (cost=0.00..25.81 rows=81 width=659) (actual time=0.009..0.063 rows=81 loops=1)

609. 0.063 0.063 ↑ 1.0 81 1

Seq Scan on datas_part_0000009480 (cost=0.00..23.81 rows=81 width=656) (actual time=0.009..0.063 rows=81 loops=1)

610. 0.058 0.058 ↑ 1.0 81 1

Seq Scan on datas_part_0000009481 (cost=0.00..24.81 rows=81 width=656) (actual time=0.005..0.058 rows=81 loops=1)

611. 0.055 0.055 ↑ 1.0 82 1

Seq Scan on datas_part_0000009482 (cost=0.00..19.82 rows=82 width=663) (actual time=0.005..0.055 rows=82 loops=1)

612. 0.074 0.074 ↑ 1.0 81 1

Seq Scan on datas_part_0000009483 (cost=0.00..47.81 rows=81 width=655) (actual time=0.005..0.074 rows=81 loops=1)

613. 0.060 0.060 ↑ 1.0 81 1

Seq Scan on datas_part_0000009484 (cost=0.00..24.81 rows=81 width=658) (actual time=0.005..0.060 rows=81 loops=1)

614. 0.056 0.056 ↑ 1.0 81 1

Seq Scan on datas_part_0000009485 (cost=0.00..23.81 rows=81 width=658) (actual time=0.005..0.056 rows=81 loops=1)

615. 0.062 0.062 ↑ 1.0 78 1

Seq Scan on datas_part_0000009486 (cost=0.00..32.78 rows=78 width=664) (actual time=0.006..0.062 rows=78 loops=1)

616. 0.058 0.058 ↑ 1.0 81 1

Seq Scan on datas_part_0000009487 (cost=0.00..23.81 rows=81 width=658) (actual time=0.005..0.058 rows=81 loops=1)

617. 0.056 0.056 ↑ 1.0 81 1

Seq Scan on datas_part_0000009488 (cost=0.00..28.81 rows=81 width=659) (actual time=0.005..0.056 rows=81 loops=1)

618. 0.060 0.060 ↑ 1.0 81 1

Seq Scan on datas_part_0000009489 (cost=0.00..29.81 rows=81 width=659) (actual time=0.005..0.060 rows=81 loops=1)

619. 0.059 0.059 ↑ 1.0 81 1

Seq Scan on datas_part_0000009490 (cost=0.00..25.81 rows=81 width=655) (actual time=0.006..0.059 rows=81 loops=1)

620. 0.057 0.057 ↑ 1.0 81 1

Seq Scan on datas_part_0000009491 (cost=0.00..26.81 rows=81 width=656) (actual time=0.005..0.057 rows=81 loops=1)

621. 0.097 0.097 ↑ 1.0 81 1

Seq Scan on datas_part_0000009492 (cost=0.00..24.81 rows=81 width=659) (actual time=0.005..0.097 rows=81 loops=1)

622. 0.059 0.059 ↑ 1.0 81 1

Seq Scan on datas_part_0000009493 (cost=0.00..28.81 rows=81 width=658) (actual time=0.005..0.059 rows=81 loops=1)

623. 0.057 0.057 ↑ 1.0 81 1

Seq Scan on datas_part_0000009494 (cost=0.00..23.81 rows=81 width=651) (actual time=0.005..0.057 rows=81 loops=1)

624. 0.057 0.057 ↑ 1.0 81 1

Seq Scan on datas_part_0000009495 (cost=0.00..24.81 rows=81 width=659) (actual time=0.005..0.057 rows=81 loops=1)

625. 0.054 0.054 ↑ 1.0 81 1

Seq Scan on datas_part_0000009496 (cost=0.00..17.81 rows=81 width=652) (actual time=0.005..0.054 rows=81 loops=1)

626. 0.088 0.088 ↑ 1.0 81 1

Seq Scan on datas_part_0000009497 (cost=0.00..23.81 rows=81 width=656) (actual time=0.005..0.088 rows=81 loops=1)

627. 0.056 0.056 ↑ 1.0 81 1

Seq Scan on datas_part_0000009498 (cost=0.00..21.81 rows=81 width=658) (actual time=0.006..0.056 rows=81 loops=1)

628. 0.061 0.061 ↑ 1.0 81 1

Seq Scan on datas_part_0000009499 (cost=0.00..28.81 rows=81 width=658) (actual time=0.005..0.061 rows=81 loops=1)

629. 0.058 0.058 ↑ 1.0 81 1

Seq Scan on datas_part_0000009500 (cost=0.00..23.81 rows=81 width=656) (actual time=0.006..0.058 rows=81 loops=1)

630. 0.057 0.057 ↑ 1.0 83 1

Seq Scan on datas_part_0000009501 (cost=0.00..27.83 rows=83 width=656) (actual time=0.005..0.057 rows=83 loops=1)

631. 0.059 0.059 ↑ 1.0 81 1

Seq Scan on datas_part_0000009502 (cost=0.00..26.81 rows=81 width=653) (actual time=0.006..0.059 rows=81 loops=1)

632. 0.064 0.064 ↑ 1.0 81 1

Seq Scan on datas_part_0000009503 (cost=0.00..34.81 rows=81 width=658) (actual time=0.006..0.064 rows=81 loops=1)

633. 0.062 0.062 ↑ 1.0 83 1

Seq Scan on datas_part_0000009504 (cost=0.00..26.83 rows=83 width=657) (actual time=0.005..0.062 rows=83 loops=1)

634. 0.057 0.057 ↑ 1.0 79 1

Seq Scan on datas_part_0000009505 (cost=0.00..25.79 rows=79 width=655) (actual time=0.006..0.057 rows=79 loops=1)

635. 0.059 0.059 ↑ 1.0 81 1

Seq Scan on datas_part_0000009506 (cost=0.00..27.81 rows=81 width=656) (actual time=0.005..0.059 rows=81 loops=1)

636. 0.059 0.059 ↑ 1.0 83 1

Seq Scan on datas_part_0000009507 (cost=0.00..23.83 rows=83 width=658) (actual time=0.005..0.059 rows=83 loops=1)

637. 0.059 0.059 ↑ 1.0 79 1

Seq Scan on datas_part_0000009508 (cost=0.00..29.79 rows=79 width=654) (actual time=0.005..0.059 rows=79 loops=1)

638. 0.057 0.057 ↑ 1.0 83 1

Seq Scan on datas_part_0000009510 (cost=0.00..20.83 rows=83 width=657) (actual time=0.006..0.057 rows=83 loops=1)

639. 0.058 0.058 ↑ 1.0 81 1

Seq Scan on datas_part_0000009511 (cost=0.00..26.81 rows=81 width=655) (actual time=0.006..0.058 rows=81 loops=1)

640. 0.061 0.061 ↑ 1.0 81 1

Seq Scan on datas_part_0000009512 (cost=0.00..23.81 rows=81 width=658) (actual time=0.005..0.061 rows=81 loops=1)

641. 0.052 0.052 ↑ 1.0 81 1

Seq Scan on datas_part_0000009513 (cost=0.00..16.81 rows=81 width=658) (actual time=0.005..0.052 rows=81 loops=1)

642. 0.101 0.101 ↑ 1.0 81 1

Seq Scan on datas_part_0000009514 (cost=0.00..24.81 rows=81 width=654) (actual time=0.005..0.101 rows=81 loops=1)

643. 0.056 0.056 ↑ 1.0 78 1

Seq Scan on datas_part_0000009515 (cost=0.00..23.78 rows=78 width=664) (actual time=0.005..0.056 rows=78 loops=1)

644. 0.054 0.054 ↑ 1.0 78 1

Seq Scan on datas_part_0000009516 (cost=0.00..22.78 rows=78 width=664) (actual time=0.005..0.054 rows=78 loops=1)

645. 0.060 0.060 ↑ 1.0 83 1

Seq Scan on datas_part_0000009517 (cost=0.00..27.83 rows=83 width=657) (actual time=0.005..0.060 rows=83 loops=1)

646. 0.057 0.057 ↑ 1.0 76 1

Seq Scan on datas_part_0000009519 (cost=0.00..26.76 rows=76 width=663) (actual time=0.006..0.057 rows=76 loops=1)

647. 0.061 0.061 ↑ 1.0 81 1

Seq Scan on datas_part_0000009520 (cost=0.00..32.81 rows=81 width=653) (actual time=0.005..0.061 rows=81 loops=1)

648. 0.057 0.057 ↑ 1.0 79 1

Seq Scan on datas_part_0000009521 (cost=0.00..23.79 rows=79 width=654) (actual time=0.005..0.057 rows=79 loops=1)

649. 0.056 0.056 ↑ 1.0 79 1

Seq Scan on datas_part_0000009522 (cost=0.00..25.79 rows=79 width=657) (actual time=0.005..0.056 rows=79 loops=1)

650. 0.056 0.056 ↑ 1.0 79 1

Seq Scan on datas_part_0000009523 (cost=0.00..24.79 rows=79 width=654) (actual time=0.005..0.056 rows=79 loops=1)

651. 0.091 0.091 ↑ 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=0.018..0.091 rows=81 loops=1)

652. 0.058 0.058 ↑ 1.0 79 1

Seq Scan on datas_part_0000009525 (cost=0.00..26.79 rows=79 width=654) (actual time=0.006..0.058 rows=79 loops=1)

653. 0.059 0.059 ↑ 1.0 79 1

Seq Scan on datas_part_0000009526 (cost=0.00..26.79 rows=79 width=654) (actual time=0.006..0.059 rows=79 loops=1)

654. 0.054 0.054 ↑ 1.0 79 1

Seq Scan on datas_part_0000009527 (cost=0.00..22.79 rows=79 width=655) (actual time=0.005..0.054 rows=79 loops=1)

655. 0.057 0.057 ↑ 1.0 81 1

Seq Scan on datas_part_0000009528 (cost=0.00..23.81 rows=81 width=655) (actual time=0.005..0.057 rows=81 loops=1)

656. 0.080 0.080 ↑ 1.0 83 1

Seq Scan on datas_part_0000009529 (cost=0.00..23.83 rows=83 width=656) (actual time=0.006..0.080 rows=83 loops=1)

657. 0.055 0.055 ↑ 1.0 76 1

Seq Scan on datas_part_0000009530 (cost=0.00..24.76 rows=76 width=662) (actual time=0.005..0.055 rows=76 loops=1)

658. 0.057 0.057 ↑ 1.0 81 1

Seq Scan on datas_part_0000009531 (cost=0.00..24.81 rows=81 width=656) (actual time=0.006..0.057 rows=81 loops=1)

659. 0.059 0.059 ↑ 1.0 81 1

Seq Scan on datas_part_0000009532 (cost=0.00..26.81 rows=81 width=656) (actual time=0.005..0.059 rows=81 loops=1)

660. 0.060 0.060 ↑ 1.0 76 1

Seq Scan on datas_part_0000009533 (cost=0.00..30.76 rows=76 width=663) (actual time=0.005..0.060 rows=76 loops=1)

661. 0.055 0.055 ↑ 1.0 76 1

Seq Scan on datas_part_0000009534 (cost=0.00..27.76 rows=76 width=662) (actual time=0.005..0.055 rows=76 loops=1)

662. 0.052 0.052 ↑ 1.0 76 1

Seq Scan on datas_part_0000009535 (cost=0.00..23.76 rows=76 width=660) (actual time=0.005..0.052 rows=76 loops=1)

663. 0.056 0.056 ↑ 1.0 81 1

Seq Scan on datas_part_0000009536 (cost=0.00..23.81 rows=81 width=655) (actual time=0.005..0.056 rows=81 loops=1)

664. 0.005 0.005 ↑ 1.0 1 1

Seq Scan on datas_part_default_tab (cost=0.00..1.01 rows=1 width=677) (actual time=0.004..0.005 rows=1 loops=1)

665. 0.008 0.013 ↑ 1.0 2 1

Hash (cost=1.02..1.02 rows=2 width=41) (actual time=0.012..0.013 rows=2 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 9kB
666. 0.005 0.005 ↑ 1.0 2 1

Seq Scan on reception_modes (cost=0.00..1.02 rows=2 width=41) (actual time=0.004..0.005 rows=2 loops=1)

667. 0.000 0.000 ↑ 4.2 4 52,661

Materialize (cost=0.00..1.25 rows=17 width=73) (actual time=0.000..0.000 rows=4 loops=52,661)

668. 0.008 0.008 ↑ 1.0 17 1

Seq Scan on statustypes (cost=0.00..1.17 rows=17 width=73) (actual time=0.005..0.008 rows=17 loops=1)

669. 52.661 52.661 ↑ 1.0 1 52,661

Index Scan using index_idaccount_idaccountstate on accounts (cost=0.28..0.30 rows=1 width=49) (actual time=0.001..0.001 rows=1 loops=52,661)

  • Index Cond: (idaccount = datas_part_0000008825.idaccount)
670. 0.000 0.000 ↑ 1.0 4 52,661

Materialize (cost=0.00..1.06 rows=4 width=40) (actual time=0.000..0.000 rows=4 loops=52,661)

671. 0.032 0.032 ↑ 1.0 4 1

Seq Scan on account_states (cost=0.00..1.04 rows=4 width=40) (actual time=0.031..0.032 rows=4 loops=1)

672.          

SubPlan (for Nested Loop)

673. 0.000 157.983 ↑ 2.0 1 52,661

Result (cost=0.00..2.54 rows=2 width=32) (actual time=0.003..0.003 rows=1 loops=52,661)

674. 52.661 157.983 ↑ 2.0 1 52,661

Append (cost=0.00..2.50 rows=2 width=79) (actual time=0.002..0.003 rows=1 loops=52,661)

675. 0.000 0.000 ↓ 0.0 0 52,661

Seq Scan on equipments (cost=0.00..0.00 rows=1 width=96) (actual time=0.000..0.000 rows=0 loops=52,661)

  • Filter: (idequipment = datas_part_0000008825.idequipment)
676. 105.322 105.322 ↑ 1.0 1 52,661

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=52,661)

  • Index Cond: (idequipment = datas_part_0000008825.idequipment)
Planning time : 1,894.506 ms