explain.depesz.com

PostgreSQL's explain analyze made readable

Result: n9Ov

Settings
# exclusive inclusive rows x rows loops node
1. 500.720 18,229.032 ↓ 1,600.9 59,235 1

Nested Loop (cost=1.32..17,731.59 rows=37 width=944) (actual time=7,786.623..18,229.032 rows=59,235 loops=1)

  • Join Filter: (accounts.idaccountstate = account_states.idaccountstate)
  • Rows Removed by Join Filter: 177705
2. 158.681 16,721.317 ↓ 1,600.9 59,235 1

Nested Loop (cost=1.32..17,634.30 rows=37 width=848) (actual time=7,786.528..16,721.317 rows=59,235 loops=1)

3. 3,131.777 16,147.991 ↓ 1,600.9 59,235 1

Nested Loop (cost=1.04..17,623.19 rows=37 width=807) (actual time=7,786.491..16,147.991 rows=59,235 loops=1)

  • Join Filter: (datas_part_0000008825.ideventtype = eventtypes.ideventtype)
  • Rows Removed by Join Filter: 9181425
4. 0.510 0.510 ↑ 1.0 156 1

Seq Scan on eventtypes (cost=0.00..6.56 rows=156 width=39) (actual time=0.026..0.510 rows=156 loops=1)

5. 12,376.649 13,015.704 ↓ 1,260.3 59,235 156

Materialize (cost=1.04..17,506.77 rows=47 width=776) (actual time=0.005..83.434 rows=59,235 loops=156)

6. 191.701 639.055 ↓ 1,260.3 59,235 1

Nested Loop (cost=1.04..17,506.53 rows=47 width=776) (actual time=0.099..639.055 rows=59,235 loops=1)

  • Join Filter: (datas_part_0000008825.idstatustype = statustypes.idstatustype)
  • Rows Removed by Join Filter: 181075
7. 39.137 388.119 ↓ 106.3 59,235 1

Hash Join (cost=1.04..17,363.97 rows=557 width=711) (actual time=0.086..388.119 rows=59,235 loops=1)

  • Hash Cond: (datas_part_0000008825.idreceptionmode = reception_modes.idreceptionmode)
8. 18.294 348.966 ↓ 1.1 59,235 1

Append (cost=0.00..17,213.49 rows=55,744 width=678) (actual time=0.027..348.966 rows=59,235 loops=1)

9. 0.260 0.260 ↑ 1.0 118 1

Seq Scan on datas_part_0000008825 (cost=0.00..25.18 rows=118 width=682) (actual time=0.026..0.260 rows=118 loops=1)

10. 0.185 0.185 ↑ 1.0 77 1

Seq Scan on datas_part_0000008826 (cost=0.00..20.77 rows=77 width=675) (actual time=0.026..0.185 rows=77 loops=1)

11. 0.108 0.108 ↑ 1.0 77 1

Seq Scan on datas_part_0000008827 (cost=0.00..23.77 rows=77 width=676) (actual time=0.017..0.108 rows=77 loops=1)

12. 0.157 0.157 ↑ 1.0 77 1

Seq Scan on datas_part_0000008828 (cost=0.00..17.77 rows=77 width=676) (actual time=0.019..0.157 rows=77 loops=1)

13. 0.146 0.146 ↑ 1.0 118 1

Seq Scan on datas_part_0000008829 (cost=0.00..33.18 rows=118 width=680) (actual time=0.016..0.146 rows=118 loops=1)

14. 0.121 0.121 ↑ 1.0 113 1

Seq Scan on datas_part_0000008830 (cost=0.00..19.13 rows=113 width=679) (actual time=0.017..0.121 rows=113 loops=1)

15. 0.162 0.162 ↑ 1.0 117 1

Seq Scan on datas_part_0000008831 (cost=0.00..29.17 rows=117 width=683) (actual time=0.019..0.162 rows=117 loops=1)

16. 0.143 0.143 ↓ 1.4 115 1

Seq Scan on datas_part_0000008832 (cost=0.00..27.83 rows=83 width=682) (actual time=0.019..0.143 rows=115 loops=1)

17. 0.171 0.171 ↑ 1.0 118 1

Seq Scan on datas_part_0000008833 (cost=0.00..53.18 rows=118 width=683) (actual time=0.015..0.171 rows=118 loops=1)

18. 0.168 0.168 ↑ 1.0 77 1

Seq Scan on datas_part_0000008834 (cost=0.00..12.77 rows=77 width=676) (actual time=0.026..0.168 rows=77 loops=1)

19. 0.181 0.181 ↑ 1.0 118 1

Seq Scan on datas_part_0000008835 (cost=0.00..54.18 rows=118 width=681) (actual time=0.014..0.181 rows=118 loops=1)

20. 0.314 0.314 ↑ 1.0 114 1

Index Scan using datas_part_0000008836_ideventtype_idx on datas_part_0000008836 (cost=0.14..84.43 rows=114 width=681) (actual time=0.055..0.314 rows=114 loops=1)

21. 0.205 0.205 ↓ 2.0 108 1

Seq Scan on datas_part_0000008837 (cost=0.00..23.53 rows=53 width=678) (actual time=0.033..0.205 rows=108 loops=1)

22. 0.085 0.085 ↑ 1.0 77 1

Seq Scan on datas_part_0000008838 (cost=0.00..13.77 rows=77 width=676) (actual time=0.029..0.085 rows=77 loops=1)

23. 0.119 0.119 ↑ 1.0 117 1

Seq Scan on datas_part_0000008839 (cost=0.00..30.17 rows=117 width=682) (actual time=0.014..0.119 rows=117 loops=1)

24. 0.110 0.110 ↓ 1.1 114 1

Seq Scan on datas_part_0000008840 (cost=0.00..14.07 rows=107 width=682) (actual time=0.018..0.110 rows=114 loops=1)

25. 0.358 0.358 ↑ 1.0 115 1

Seq Scan on datas_part_0000008841 (cost=0.00..28.15 rows=115 width=683) (actual time=0.016..0.358 rows=115 loops=1)

26. 0.131 0.131 ↑ 1.0 115 1

Seq Scan on datas_part_0000008842 (cost=0.00..17.15 rows=115 width=683) (actual time=0.022..0.131 rows=115 loops=1)

27. 0.108 0.108 ↑ 1.0 77 1

Seq Scan on datas_part_0000008843 (cost=0.00..15.77 rows=77 width=677) (actual time=0.031..0.108 rows=77 loops=1)

28. 0.129 0.129 ↑ 1.0 79 1

Seq Scan on datas_part_0000008844 (cost=0.00..23.79 rows=79 width=677) (actual time=0.027..0.129 rows=79 loops=1)

29. 0.192 0.192 ↑ 1.0 77 1

Seq Scan on datas_part_0000008846 (cost=0.00..30.77 rows=77 width=676) (actual time=0.027..0.192 rows=77 loops=1)

30. 0.156 0.156 ↓ 1.3 118 1

Seq Scan on datas_part_0000008847 (cost=0.00..21.90 rows=90 width=672) (actual time=0.023..0.156 rows=118 loops=1)

31. 0.178 0.178 ↓ 1.3 118 1

Seq Scan on datas_part_0000008848 (cost=0.00..26.91 rows=91 width=677) (actual time=0.020..0.178 rows=118 loops=1)

32. 0.133 0.133 ↑ 1.0 79 1

Seq Scan on datas_part_0000008849 (cost=0.00..23.79 rows=79 width=675) (actual time=0.025..0.133 rows=79 loops=1)

33. 0.120 0.120 ↑ 1.0 79 1

Seq Scan on datas_part_0000008850 (cost=0.00..26.79 rows=79 width=676) (actual time=0.024..0.120 rows=79 loops=1)

34. 0.095 0.095 ↑ 1.0 79 1

Seq Scan on datas_part_0000008851 (cost=0.00..20.79 rows=79 width=676) (actual time=0.024..0.095 rows=79 loops=1)

35. 0.131 0.131 ↓ 1.2 118 1

Seq Scan on datas_part_0000008853 (cost=0.00..21.95 rows=95 width=676) (actual time=0.018..0.131 rows=118 loops=1)

36. 0.120 0.120 ↓ 1.0 111 1

Seq Scan on datas_part_0000008854 (cost=0.00..18.09 rows=109 width=676) (actual time=0.019..0.120 rows=111 loops=1)

37. 3.159 3.159 ↑ 1.0 78 1

Seq Scan on datas_part_0000008855 (cost=0.00..17.78 rows=78 width=677) (actual time=0.016..3.159 rows=78 loops=1)

38. 0.241 0.241 ↓ 1.3 121 1

Seq Scan on datas_part_0000008856 (cost=0.00..23.96 rows=96 width=675) (actual time=0.035..0.241 rows=121 loops=1)

39. 0.274 0.274 ↓ 1.5 121 1

Index Scan using datas_part_0000008857_ideventtype_idx on datas_part_0000008857 (cost=0.14..58.38 rows=79 width=677) (actual time=0.041..0.274 rows=121 loops=1)

40. 0.180 0.180 ↓ 1.3 121 1

Seq Scan on datas_part_0000008858 (cost=0.00..29.92 rows=92 width=676) (actual time=0.046..0.180 rows=121 loops=1)

41. 6.626 6.626 ↓ 1.3 118 1

Seq Scan on datas_part_0000008860 (cost=0.00..34.90 rows=90 width=675) (actual time=0.033..6.626 rows=118 loops=1)

42. 2.719 2.719 ↓ 1.4 121 1

Seq Scan on datas_part_0000008861 (cost=0.00..36.89 rows=89 width=676) (actual time=2.571..2.719 rows=121 loops=1)

43. 0.121 0.121 ↓ 1.3 118 1

Seq Scan on datas_part_0000008863 (cost=0.00..24.92 rows=92 width=674) (actual time=0.017..0.121 rows=118 loops=1)

44. 0.089 0.089 ↑ 1.0 73 1

Seq Scan on datas_part_0000008864 (cost=0.00..16.73 rows=73 width=671) (actual time=0.020..0.089 rows=73 loops=1)

45. 0.202 0.202 ↑ 1.0 163 1

Seq Scan on datas_part_0000008865 (cost=0.00..30.63 rows=163 width=674) (actual time=0.021..0.202 rows=163 loops=1)

46. 0.260 0.260 ↓ 1.5 121 1

Index Scan using datas_part_0000008866_ideventtype_idx on datas_part_0000008866 (cost=0.14..57.87 rows=79 width=676) (actual time=0.057..0.260 rows=121 loops=1)

47. 0.170 0.170 ↓ 1.4 112 1

Seq Scan on datas_part_0000008867 (cost=0.00..22.82 rows=82 width=676) (actual time=0.054..0.170 rows=112 loops=1)

48. 0.149 0.149 ↑ 1.0 77 1

Seq Scan on datas_part_0000008868 (cost=0.00..37.77 rows=77 width=679) (actual time=0.036..0.149 rows=77 loops=1)

49. 0.162 0.162 ↓ 1.3 120 1

Seq Scan on datas_part_0000008869 (cost=0.00..30.91 rows=91 width=677) (actual time=0.038..0.162 rows=120 loops=1)

50. 0.146 0.146 ↓ 1.2 116 1

Seq Scan on datas_part_0000008870 (cost=0.00..24.95 rows=95 width=675) (actual time=0.032..0.146 rows=116 loops=1)

51. 0.206 0.206 ↓ 1.5 121 1

Seq Scan on datas_part_0000008871 (cost=0.00..49.79 rows=79 width=677) (actual time=0.038..0.206 rows=121 loops=1)

52. 0.121 0.121 ↑ 1.0 79 1

Seq Scan on datas_part_0000008872 (cost=0.00..21.79 rows=79 width=675) (actual time=0.037..0.121 rows=79 loops=1)

53. 0.099 0.099 ↑ 1.0 79 1

Seq Scan on datas_part_0000008873 (cost=0.00..16.79 rows=79 width=676) (actual time=0.032..0.099 rows=79 loops=1)

54. 0.114 0.114 ↑ 1.0 79 1

Seq Scan on datas_part_0000008874 (cost=0.00..29.79 rows=79 width=677) (actual time=0.022..0.114 rows=79 loops=1)

55. 0.082 0.082 ↑ 1.0 63 1

Seq Scan on datas_part_0000008875 (cost=0.00..12.63 rows=63 width=676) (actual time=0.030..0.082 rows=63 loops=1)

56. 0.118 0.118 ↑ 1.0 79 1

Seq Scan on datas_part_0000008876 (cost=0.00..34.79 rows=79 width=676) (actual time=0.018..0.118 rows=79 loops=1)

57. 0.106 0.106 ↑ 1.0 65 1

Seq Scan on datas_part_0000008877 (cost=0.00..22.65 rows=65 width=671) (actual time=0.024..0.106 rows=65 loops=1)

58. 0.362 0.362 ↑ 1.0 79 1

Seq Scan on datas_part_0000008878 (cost=0.00..24.79 rows=79 width=676) (actual time=0.026..0.362 rows=79 loops=1)

59. 0.163 0.163 ↓ 1.3 121 1

Seq Scan on datas_part_0000008879 (cost=0.00..31.91 rows=91 width=677) (actual time=0.027..0.163 rows=121 loops=1)

60. 0.179 0.179 ↑ 1.0 79 1

Index Scan using datas_part_0000008880_ideventtype_idx on datas_part_0000008880 (cost=0.14..67.34 rows=79 width=676) (actual time=0.044..0.179 rows=79 loops=1)

61. 0.107 0.107 ↑ 1.0 79 1

Seq Scan on datas_part_0000008881 (cost=0.00..29.79 rows=79 width=676) (actual time=0.020..0.107 rows=79 loops=1)

62. 0.115 0.115 ↑ 1.0 79 1

Seq Scan on datas_part_0000008882 (cost=0.00..24.79 rows=79 width=675) (actual time=0.015..0.115 rows=79 loops=1)

63. 0.131 0.131 ↓ 1.3 118 1

Seq Scan on datas_part_0000008883 (cost=0.00..26.91 rows=91 width=676) (actual time=0.016..0.131 rows=118 loops=1)

64. 0.125 0.125 ↑ 1.0 112 1

Seq Scan on datas_part_0000008884 (cost=0.00..21.12 rows=112 width=682) (actual time=0.018..0.125 rows=112 loops=1)

65. 0.167 0.167 ↑ 1.0 118 1

Seq Scan on datas_part_0000008885 (cost=0.00..32.18 rows=118 width=680) (actual time=0.018..0.167 rows=118 loops=1)

66. 0.127 0.127 ↑ 1.0 115 1

Seq Scan on datas_part_0000008886 (cost=0.00..25.15 rows=115 width=679) (actual time=0.016..0.127 rows=115 loops=1)

67. 0.161 0.161 ↑ 1.0 118 1

Seq Scan on datas_part_0000008887 (cost=0.00..31.18 rows=118 width=683) (actual time=0.019..0.161 rows=118 loops=1)

68. 0.354 0.354 ↓ 1.2 114 1

Seq Scan on datas_part_0000008888 (cost=0.00..24.92 rows=92 width=683) (actual time=0.028..0.354 rows=114 loops=1)

69. 0.443 0.443 ↑ 1.0 77 1

Seq Scan on datas_part_0000008889 (cost=0.00..19.77 rows=77 width=673) (actual time=0.023..0.443 rows=77 loops=1)

70. 14.255 14.255 ↑ 1.0 117 1

Seq Scan on datas_part_0000008890 (cost=0.00..24.17 rows=117 width=684) (actual time=14.116..14.255 rows=117 loops=1)

71. 0.133 0.133 ↑ 1.0 118 1

Seq Scan on datas_part_0000008891 (cost=0.00..28.18 rows=118 width=683) (actual time=0.022..0.133 rows=118 loops=1)

72. 0.149 0.149 ↓ 1.3 118 1

Seq Scan on datas_part_0000008892 (cost=0.00..27.90 rows=90 width=676) (actual time=0.028..0.149 rows=118 loops=1)

73. 0.128 0.128 ↑ 1.0 118 1

Seq Scan on datas_part_0000008893 (cost=0.00..30.18 rows=118 width=683) (actual time=0.019..0.128 rows=118 loops=1)

74. 0.018 0.018 ↓ 1.5 3 1

Seq Scan on datas_part_0000008894 (cost=0.00..1.02 rows=2 width=655) (actual time=0.016..0.018 rows=3 loops=1)

75. 0.115 0.115 ↑ 1.0 116 1

Seq Scan on datas_part_0000008895 (cost=0.00..31.16 rows=116 width=684) (actual time=0.015..0.115 rows=116 loops=1)

76. 0.126 0.126 ↓ 1.3 117 1

Seq Scan on datas_part_0000008896 (cost=0.00..30.89 rows=89 width=679) (actual time=0.013..0.126 rows=117 loops=1)

77. 0.921 0.921 ↑ 1.0 76 1

Seq Scan on datas_part_0000008897 (cost=0.00..20.76 rows=76 width=683) (actual time=0.017..0.921 rows=76 loops=1)

78. 0.141 0.141 ↑ 1.0 77 1

Seq Scan on datas_part_0000008898 (cost=0.00..43.77 rows=77 width=676) (actual time=0.023..0.141 rows=77 loops=1)

79. 0.143 0.143 ↓ 1.3 118 1

Seq Scan on datas_part_0000008899 (cost=0.00..34.90 rows=90 width=676) (actual time=0.018..0.143 rows=118 loops=1)

80. 0.098 0.098 ↑ 1.0 77 1

Seq Scan on datas_part_0000008900 (cost=0.00..22.77 rows=77 width=675) (actual time=0.018..0.098 rows=77 loops=1)

81. 0.111 0.111 ↑ 1.0 77 1

Seq Scan on datas_part_0000008901 (cost=0.00..32.77 rows=77 width=678) (actual time=0.015..0.111 rows=77 loops=1)

82. 0.154 0.154 ↑ 1.0 117 1

Seq Scan on datas_part_0000008902 (cost=0.00..43.17 rows=117 width=684) (actual time=0.017..0.154 rows=117 loops=1)

83. 0.096 0.096 ↑ 1.0 76 1

Seq Scan on datas_part_0000008904 (cost=0.00..24.76 rows=76 width=684) (actual time=0.016..0.096 rows=76 loops=1)

84. 0.131 0.131 ↑ 1.0 118 1

Seq Scan on datas_part_0000008905 (cost=0.00..31.18 rows=118 width=683) (actual time=0.020..0.131 rows=118 loops=1)

85. 9.274 9.274 ↑ 1.0 77 1

Seq Scan on datas_part_0000008906 (cost=0.00..35.77 rows=77 width=677) (actual time=0.016..9.274 rows=77 loops=1)

86. 0.162 0.162 ↑ 1.0 101 1

Seq Scan on datas_part_0000008907 (cost=0.00..21.01 rows=101 width=684) (actual time=0.021..0.162 rows=101 loops=1)

87. 0.125 0.125 ↑ 1.0 118 1

Seq Scan on datas_part_0000008908 (cost=0.00..21.18 rows=118 width=684) (actual time=0.019..0.125 rows=118 loops=1)

88. 0.144 0.144 ↑ 1.0 117 1

Seq Scan on datas_part_0000008909 (cost=0.00..30.17 rows=117 width=680) (actual time=0.023..0.144 rows=117 loops=1)

89. 0.159 0.159 ↑ 1.0 118 1

Seq Scan on datas_part_0000008910 (cost=0.00..30.18 rows=118 width=683) (actual time=0.049..0.159 rows=118 loops=1)

90. 0.138 0.138 ↓ 1.3 118 1

Seq Scan on datas_part_0000008911 (cost=0.00..28.90 rows=90 width=684) (actual time=0.020..0.138 rows=118 loops=1)

91. 8.402 8.402 ↓ 1.3 118 1

Seq Scan on datas_part_0000008912 (cost=0.00..27.90 rows=90 width=683) (actual time=0.025..8.402 rows=118 loops=1)

92. 0.189 0.189 ↑ 1.0 118 1

Seq Scan on datas_part_0000008913 (cost=0.00..29.18 rows=118 width=684) (actual time=0.026..0.189 rows=118 loops=1)

93. 0.153 0.153 ↓ 1.3 118 1

Seq Scan on datas_part_0000008914 (cost=0.00..30.89 rows=89 width=676) (actual time=0.024..0.153 rows=118 loops=1)

94. 0.133 0.133 ↑ 1.0 77 1

Seq Scan on datas_part_0000008915 (cost=0.00..20.77 rows=77 width=678) (actual time=0.050..0.133 rows=77 loops=1)

95. 0.159 0.159 ↓ 1.3 118 1

Seq Scan on datas_part_0000008917 (cost=0.00..29.93 rows=93 width=674) (actual time=0.032..0.159 rows=118 loops=1)

96. 10.543 10.543 ↓ 1.3 118 1

Seq Scan on datas_part_0000008919 (cost=0.00..34.90 rows=90 width=675) (actual time=0.033..10.543 rows=118 loops=1)

97. 0.177 0.177 ↓ 1.5 118 1

Seq Scan on datas_part_0000008920 (cost=0.00..42.77 rows=77 width=676) (actual time=0.029..0.177 rows=118 loops=1)

98. 0.160 0.160 ↓ 1.4 118 1

Seq Scan on datas_part_0000008921 (cost=0.00..34.87 rows=87 width=676) (actual time=0.021..0.160 rows=118 loops=1)

99. 0.436 0.436 ↑ 1.0 118 1

Seq Scan on datas_part_0000008922 (cost=0.00..27.18 rows=118 width=684) (actual time=0.015..0.436 rows=118 loops=1)

100. 0.101 0.101 ↑ 1.0 77 1

Seq Scan on datas_part_0000008923 (cost=0.00..29.77 rows=77 width=674) (actual time=0.023..0.101 rows=77 loops=1)

101. 0.135 0.135 ↓ 1.2 116 1

Seq Scan on datas_part_0000008924 (cost=0.00..21.94 rows=94 width=683) (actual time=0.021..0.135 rows=116 loops=1)

102. 0.089 0.089 ↑ 1.0 77 1

Seq Scan on datas_part_0000008925 (cost=0.00..17.77 rows=77 width=678) (actual time=0.017..0.089 rows=77 loops=1)

103. 0.113 0.113 ↑ 1.0 77 1

Seq Scan on datas_part_0000008926 (cost=0.00..33.77 rows=77 width=677) (actual time=0.019..0.113 rows=77 loops=1)

104. 0.100 0.100 ↑ 1.0 77 1

Seq Scan on datas_part_0000008927 (cost=0.00..11.77 rows=77 width=676) (actual time=0.016..0.100 rows=77 loops=1)

105. 0.153 0.153 ↑ 1.0 77 1

Seq Scan on datas_part_0000008928 (cost=0.00..26.77 rows=77 width=679) (actual time=0.034..0.153 rows=77 loops=1)

106. 0.142 0.142 ↑ 1.0 77 1

Seq Scan on datas_part_0000008929 (cost=0.00..18.77 rows=77 width=678) (actual time=0.047..0.142 rows=77 loops=1)

107. 0.116 0.116 ↑ 1.0 76 1

Seq Scan on datas_part_0000008930 (cost=0.00..14.76 rows=76 width=684) (actual time=0.034..0.116 rows=76 loops=1)

108. 0.121 0.121 ↑ 1.0 74 1

Seq Scan on datas_part_0000008931 (cost=0.00..22.74 rows=74 width=681) (actual time=0.035..0.121 rows=74 loops=1)

109. 0.294 0.294 ↓ 1.5 118 1

Index Scan using datas_part_0000008932_ideventtype_idx on datas_part_0000008932 (cost=0.14..58.27 rows=77 width=677) (actual time=0.042..0.294 rows=118 loops=1)

110. 0.152 0.152 ↑ 1.0 75 1

Seq Scan on datas_part_0000008933 (cost=0.00..27.75 rows=75 width=673) (actual time=0.052..0.152 rows=75 loops=1)

111. 0.102 0.102 ↑ 1.0 69 1

Seq Scan on datas_part_0000008934 (cost=0.00..9.69 rows=69 width=671) (actual time=0.037..0.102 rows=69 loops=1)

112. 0.150 0.150 ↑ 1.0 77 1

Seq Scan on datas_part_0000008935 (cost=0.00..17.77 rows=77 width=675) (actual time=0.034..0.150 rows=77 loops=1)

113. 0.058 0.058 ↑ 1.0 56 1

Seq Scan on datas_part_0000008936 (cost=0.00..8.56 rows=56 width=681) (actual time=0.013..0.058 rows=56 loops=1)

114. 0.240 0.240 ↑ 1.0 77 1

Seq Scan on datas_part_0000008937 (cost=0.00..29.77 rows=77 width=679) (actual time=0.040..0.240 rows=77 loops=1)

115. 0.114 0.114 ↑ 1.0 76 1

Seq Scan on datas_part_0000008938 (cost=0.00..29.76 rows=76 width=686) (actual time=0.012..0.114 rows=76 loops=1)

116. 0.514 0.514 ↑ 1.0 75 1

Seq Scan on datas_part_0000008939 (cost=0.00..27.75 rows=75 width=677) (actual time=0.024..0.514 rows=75 loops=1)

117. 0.105 0.105 ↑ 1.0 75 1

Seq Scan on datas_part_0000008940 (cost=0.00..24.75 rows=75 width=676) (actual time=0.022..0.105 rows=75 loops=1)

118. 5.762 5.762 ↑ 1.0 77 1

Seq Scan on datas_part_0000008941 (cost=0.00..35.77 rows=77 width=678) (actual time=5.656..5.762 rows=77 loops=1)

119. 0.126 0.126 ↑ 1.0 77 1

Seq Scan on datas_part_0000008942 (cost=0.00..31.77 rows=77 width=677) (actual time=0.018..0.126 rows=77 loops=1)

120. 0.111 0.111 ↑ 1.0 77 1

Seq Scan on datas_part_0000008943 (cost=0.00..27.77 rows=77 width=679) (actual time=0.015..0.111 rows=77 loops=1)

121. 0.120 0.120 ↑ 1.0 77 1

Seq Scan on datas_part_0000008944 (cost=0.00..24.77 rows=77 width=675) (actual time=0.018..0.120 rows=77 loops=1)

122. 0.121 0.121 ↑ 1.0 77 1

Seq Scan on datas_part_0000008945 (cost=0.00..25.77 rows=77 width=675) (actual time=0.038..0.121 rows=77 loops=1)

123. 0.290 0.290 ↑ 1.0 75 1

Seq Scan on datas_part_0000008946 (cost=0.00..21.75 rows=75 width=676) (actual time=0.213..0.290 rows=75 loops=1)

124. 0.164 0.164 ↑ 1.0 77 1

Seq Scan on datas_part_0000008947 (cost=0.00..21.77 rows=77 width=675) (actual time=0.037..0.164 rows=77 loops=1)

125. 0.117 0.117 ↑ 1.0 75 1

Seq Scan on datas_part_0000008948 (cost=0.00..20.75 rows=75 width=672) (actual time=0.037..0.117 rows=75 loops=1)

126. 0.211 0.211 ↓ 1.5 115 1

Seq Scan on datas_part_0000008949 (cost=0.00..51.75 rows=75 width=675) (actual time=0.041..0.211 rows=115 loops=1)

127. 0.128 0.128 ↑ 1.0 77 1

Seq Scan on datas_part_0000008950 (cost=0.00..17.77 rows=77 width=679) (actual time=0.035..0.128 rows=77 loops=1)

128. 0.089 0.089 ↑ 1.0 66 1

Seq Scan on datas_part_0000008951 (cost=0.00..18.66 rows=66 width=675) (actual time=0.020..0.089 rows=66 loops=1)

129. 0.159 0.159 ↓ 1.3 116 1

Seq Scan on datas_part_0000008952 (cost=0.00..29.92 rows=92 width=673) (actual time=0.016..0.159 rows=116 loops=1)

130. 0.131 0.131 ↑ 1.0 77 1

Seq Scan on datas_part_0000008953 (cost=0.00..23.77 rows=77 width=676) (actual time=0.042..0.131 rows=77 loops=1)

131. 0.119 0.119 ↑ 1.0 75 1

Seq Scan on datas_part_0000008954 (cost=0.00..25.75 rows=75 width=676) (actual time=0.035..0.119 rows=75 loops=1)

132. 0.148 0.148 ↑ 1.0 115 1

Seq Scan on datas_part_0000008955 (cost=0.00..28.15 rows=115 width=682) (actual time=0.032..0.148 rows=115 loops=1)

133. 0.134 0.134 ↑ 1.0 75 1

Index Scan using datas_part_0000008956_ideventtype_idx on datas_part_0000008956 (cost=0.14..55.38 rows=75 width=677) (actual time=0.037..0.134 rows=75 loops=1)

134. 0.142 0.142 ↑ 1.0 77 1

Seq Scan on datas_part_0000008957 (cost=0.00..33.77 rows=77 width=679) (actual time=0.041..0.142 rows=77 loops=1)

135. 0.157 0.157 ↑ 1.0 75 1

Seq Scan on datas_part_0000008958 (cost=0.00..34.75 rows=75 width=675) (actual time=0.055..0.157 rows=75 loops=1)

136. 0.121 0.121 ↑ 1.0 75 1

Seq Scan on datas_part_0000008959 (cost=0.00..26.75 rows=75 width=674) (actual time=0.026..0.121 rows=75 loops=1)

137. 0.219 0.219 ↓ 1.5 121 1

Seq Scan on datas_part_0000008960 (cost=0.00..51.79 rows=79 width=677) (actual time=0.027..0.219 rows=121 loops=1)

138. 0.033 0.033 ↑ 1.0 2 1

Seq Scan on datas_part_0000008961 (cost=0.00..1.02 rows=2 width=656) (actual time=0.032..0.033 rows=2 loops=1)

139. 0.121 0.121 ↓ 1.3 118 1

Seq Scan on datas_part_0000008962 (cost=0.00..22.94 rows=94 width=676) (actual time=0.015..0.121 rows=118 loops=1)

140. 0.173 0.173 ↑ 1.0 77 1

Seq Scan on datas_part_0000008963 (cost=0.00..23.77 rows=77 width=675) (actual time=0.078..0.173 rows=77 loops=1)

141. 0.097 0.097 ↑ 1.0 76 1

Seq Scan on datas_part_0000008964 (cost=0.00..10.76 rows=76 width=677) (actual time=0.025..0.097 rows=76 loops=1)

142. 0.128 0.128 ↑ 1.0 77 1

Seq Scan on datas_part_0000008965 (cost=0.00..25.77 rows=77 width=676) (actual time=0.029..0.128 rows=77 loops=1)

143. 0.135 0.135 ↓ 1.3 118 1

Seq Scan on datas_part_0000008967 (cost=0.00..23.93 rows=93 width=675) (actual time=0.022..0.135 rows=118 loops=1)

144. 0.133 0.133 ↓ 1.3 115 1

Seq Scan on datas_part_0000008968 (cost=0.00..23.91 rows=91 width=676) (actual time=0.024..0.133 rows=115 loops=1)

145. 0.106 0.106 ↑ 1.0 77 1

Seq Scan on datas_part_0000008969 (cost=0.00..24.77 rows=77 width=676) (actual time=0.033..0.106 rows=77 loops=1)

146. 0.076 0.076 ↑ 1.0 75 1

Seq Scan on datas_part_0000008970 (cost=0.00..14.75 rows=75 width=675) (actual time=0.019..0.076 rows=75 loops=1)

147. 1.868 1.868 ↓ 1.2 114 1

Seq Scan on datas_part_0000008971 (cost=0.00..20.92 rows=92 width=675) (actual time=0.016..1.868 rows=114 loops=1)

148. 0.112 0.112 ↑ 1.0 77 1

Seq Scan on datas_part_0000008972 (cost=0.00..34.77 rows=77 width=675) (actual time=0.018..0.112 rows=77 loops=1)

149. 0.100 0.100 ↑ 1.0 77 1

Seq Scan on datas_part_0000008973 (cost=0.00..23.77 rows=77 width=676) (actual time=0.016..0.100 rows=77 loops=1)

150. 0.087 0.087 ↓ 1.0 73 1

Seq Scan on datas_part_0000008974 (cost=0.00..18.72 rows=72 width=674) (actual time=0.015..0.087 rows=73 loops=1)

151. 0.114 0.114 ↑ 1.0 75 1

Seq Scan on datas_part_0000008975 (cost=0.00..30.75 rows=75 width=675) (actual time=0.021..0.114 rows=75 loops=1)

152. 0.113 0.113 ↑ 1.0 75 1

Seq Scan on datas_part_0000008976 (cost=0.00..20.75 rows=75 width=675) (actual time=0.028..0.113 rows=75 loops=1)

153. 0.103 0.103 ↑ 1.0 71 1

Seq Scan on datas_part_0000008977 (cost=0.00..25.71 rows=71 width=674) (actual time=0.021..0.103 rows=71 loops=1)

154. 0.185 0.185 ↓ 1.6 111 1

Seq Scan on datas_part_0000008978 (cost=0.00..27.68 rows=68 width=680) (actual time=0.022..0.185 rows=111 loops=1)

155. 0.144 0.144 ↓ 1.5 115 1

Seq Scan on datas_part_0000008979 (cost=0.00..27.75 rows=75 width=677) (actual time=0.019..0.144 rows=115 loops=1)

156. 0.138 0.138 ↑ 1.0 77 1

Seq Scan on datas_part_0000008980 (cost=0.00..15.77 rows=77 width=676) (actual time=0.017..0.138 rows=77 loops=1)

157. 0.131 0.131 ↑ 1.0 75 1

Seq Scan on datas_part_0000008981 (cost=0.00..39.75 rows=75 width=677) (actual time=0.016..0.131 rows=75 loops=1)

158. 0.110 0.110 ↑ 1.0 77 1

Seq Scan on datas_part_0000008982 (cost=0.00..28.77 rows=77 width=677) (actual time=0.015..0.110 rows=77 loops=1)

159. 0.113 0.113 ↑ 1.0 77 1

Seq Scan on datas_part_0000008983 (cost=0.00..27.77 rows=77 width=675) (actual time=0.017..0.113 rows=77 loops=1)

160. 0.105 0.105 ↑ 1.0 77 1

Seq Scan on datas_part_0000008984 (cost=0.00..25.77 rows=77 width=676) (actual time=0.018..0.105 rows=77 loops=1)

161. 0.073 0.073 ↑ 1.0 62 1

Seq Scan on datas_part_0000008985 (cost=0.00..9.62 rows=62 width=673) (actual time=0.016..0.073 rows=62 loops=1)

162. 0.091 0.091 ↑ 1.0 75 1

Seq Scan on datas_part_0000008986 (cost=0.00..18.75 rows=75 width=677) (actual time=0.015..0.091 rows=75 loops=1)

163. 0.122 0.122 ↑ 1.0 77 1

Seq Scan on datas_part_0000008987 (cost=0.00..33.77 rows=77 width=676) (actual time=0.023..0.122 rows=77 loops=1)

164. 0.137 0.137 ↑ 1.0 77 1

Seq Scan on datas_part_0000008988 (cost=0.00..34.77 rows=77 width=676) (actual time=0.026..0.137 rows=77 loops=1)

165. 0.087 0.087 ↑ 1.0 63 1

Seq Scan on datas_part_0000008989 (cost=0.00..16.63 rows=63 width=667) (actual time=0.022..0.087 rows=63 loops=1)

166. 0.116 0.116 ↑ 1.0 77 1

Seq Scan on datas_part_0000008991 (cost=0.00..23.77 rows=77 width=676) (actual time=0.014..0.116 rows=77 loops=1)

167. 0.097 0.097 ↑ 1.0 75 1

Seq Scan on datas_part_0000008992 (cost=0.00..24.75 rows=75 width=677) (actual time=0.017..0.097 rows=75 loops=1)

168. 0.096 0.096 ↑ 1.0 76 1

Seq Scan on datas_part_0000008993 (cost=0.00..22.76 rows=76 width=677) (actual time=0.016..0.096 rows=76 loops=1)

169. 0.129 0.129 ↓ 1.3 116 1

Seq Scan on datas_part_0000008994 (cost=0.00..22.88 rows=88 width=682) (actual time=0.018..0.129 rows=116 loops=1)

170. 0.122 0.122 ↑ 1.0 77 1

Seq Scan on datas_part_0000008997 (cost=0.00..25.77 rows=77 width=677) (actual time=0.029..0.122 rows=77 loops=1)

171. 0.104 0.104 ↑ 1.0 77 1

Seq Scan on datas_part_0000008998 (cost=0.00..26.77 rows=77 width=677) (actual time=0.027..0.104 rows=77 loops=1)

172. 0.112 0.112 ↑ 1.0 77 1

Seq Scan on datas_part_0000008999 (cost=0.00..42.77 rows=77 width=676) (actual time=0.017..0.112 rows=77 loops=1)

173. 0.121 0.121 ↓ 1.2 118 1

Seq Scan on datas_part_0000009000 (cost=0.00..20.96 rows=96 width=676) (actual time=0.019..0.121 rows=118 loops=1)

174. 0.150 0.150 ↑ 1.0 78 1

Index Scan using datas_part_0000009001_ideventtype_idx on datas_part_0000009001 (cost=0.14..64.75 rows=78 width=677) (actual time=0.038..0.150 rows=78 loops=1)

175. 0.114 0.114 ↑ 1.0 77 1

Seq Scan on datas_part_0000009002 (cost=0.00..20.77 rows=77 width=678) (actual time=0.029..0.114 rows=77 loops=1)

176. 0.096 0.096 ↑ 1.0 77 1

Seq Scan on datas_part_0000009003 (cost=0.00..14.77 rows=77 width=677) (actual time=0.019..0.096 rows=77 loops=1)

177. 0.142 0.142 ↑ 1.0 118 1

Seq Scan on datas_part_0000009004 (cost=0.00..35.18 rows=118 width=682) (actual time=0.013..0.142 rows=118 loops=1)

178. 0.147 0.147 ↑ 1.0 153 1

Seq Scan on datas_part_0000009005 (cost=0.00..36.53 rows=153 width=675) (actual time=0.017..0.147 rows=153 loops=1)

179. 0.181 0.181 ↑ 1.0 159 1

Seq Scan on datas_part_0000009006 (cost=0.00..37.59 rows=159 width=674) (actual time=0.020..0.181 rows=159 loops=1)

180. 0.107 0.107 ↑ 1.0 117 1

Seq Scan on datas_part_0000009007 (cost=0.00..18.17 rows=117 width=685) (actual time=0.013..0.107 rows=117 loops=1)

181. 0.109 0.109 ↑ 1.0 117 1

Seq Scan on datas_part_0000009008 (cost=0.00..17.17 rows=117 width=682) (actual time=0.016..0.109 rows=117 loops=1)

182. 0.127 0.127 ↓ 1.5 119 1

Seq Scan on datas_part_0000009009 (cost=0.00..22.77 rows=77 width=684) (actual time=0.021..0.127 rows=119 loops=1)

183. 0.192 0.192 ↑ 1.0 159 1

Seq Scan on datas_part_0000009010 (cost=0.00..50.59 rows=159 width=672) (actual time=0.018..0.192 rows=159 loops=1)

184. 0.134 0.134 ↑ 1.0 118 1

Seq Scan on datas_part_0000009011 (cost=0.00..18.18 rows=118 width=682) (actual time=0.019..0.134 rows=118 loops=1)

185. 0.173 0.173 ↓ 1.3 116 1

Seq Scan on datas_part_0000009012 (cost=0.00..27.90 rows=90 width=682) (actual time=0.035..0.173 rows=116 loops=1)

186. 0.113 0.113 ↑ 1.0 77 1

Seq Scan on datas_part_0000009013 (cost=0.00..14.77 rows=77 width=677) (actual time=0.031..0.113 rows=77 loops=1)

187. 0.080 0.080 ↑ 1.0 74 1

Seq Scan on datas_part_0000009014 (cost=0.00..13.74 rows=74 width=677) (actual time=0.018..0.080 rows=74 loops=1)

188. 0.144 0.144 ↑ 1.0 118 1

Seq Scan on datas_part_0000009015 (cost=0.00..34.18 rows=118 width=680) (actual time=0.019..0.144 rows=118 loops=1)

189. 0.120 0.120 ↓ 1.2 115 1

Seq Scan on datas_part_0000009016 (cost=0.00..16.99 rows=99 width=683) (actual time=0.028..0.120 rows=115 loops=1)

190. 2.883 2.883 ↑ 1.0 115 1

Seq Scan on datas_part_0000009017 (cost=0.00..28.15 rows=115 width=683) (actual time=0.019..2.883 rows=115 loops=1)

191. 0.139 0.139 ↑ 1.0 118 1

Seq Scan on datas_part_0000009018 (cost=0.00..35.18 rows=118 width=683) (actual time=0.022..0.139 rows=118 loops=1)

192. 0.074 0.074 ↑ 1.0 77 1

Seq Scan on datas_part_0000009019 (cost=0.00..13.77 rows=77 width=677) (actual time=0.017..0.074 rows=77 loops=1)

193. 0.108 0.108 ↑ 1.0 77 1

Seq Scan on datas_part_0000009020 (cost=0.00..28.77 rows=77 width=677) (actual time=0.018..0.108 rows=77 loops=1)

194. 0.089 0.089 ↓ 1.0 71 1

Seq Scan on datas_part_0000009021 (cost=0.00..16.69 rows=69 width=673) (actual time=0.015..0.089 rows=71 loops=1)

195. 0.090 0.090 ↑ 1.0 77 1

Seq Scan on datas_part_0000009022 (cost=0.00..19.77 rows=77 width=675) (actual time=0.017..0.090 rows=77 loops=1)

196. 0.158 0.158 ↑ 1.0 77 1

Seq Scan on datas_part_0000009023 (cost=0.00..18.77 rows=77 width=677) (actual time=0.020..0.158 rows=77 loops=1)

197. 0.330 0.330 ↑ 1.0 77 1

Seq Scan on datas_part_0000009024 (cost=0.00..22.77 rows=77 width=676) (actual time=0.036..0.330 rows=77 loops=1)

198. 0.085 0.085 ↑ 1.0 77 1

Seq Scan on datas_part_0000009025 (cost=0.00..21.77 rows=77 width=676) (actual time=0.018..0.085 rows=77 loops=1)

199. 0.106 0.106 ↑ 1.0 77 1

Seq Scan on datas_part_0000009026 (cost=0.00..33.77 rows=77 width=675) (actual time=0.016..0.106 rows=77 loops=1)

200. 0.112 0.112 ↓ 1.2 114 1

Seq Scan on datas_part_0000009027 (cost=0.00..17.93 rows=93 width=677) (actual time=0.015..0.112 rows=114 loops=1)

201. 0.120 0.120 ↓ 1.2 118 1

Seq Scan on datas_part_0000009028 (cost=0.00..20.96 rows=96 width=677) (actual time=0.016..0.120 rows=118 loops=1)

202. 0.136 0.136 ↑ 1.0 77 1

Seq Scan on datas_part_0000009029 (cost=0.00..46.77 rows=77 width=676) (actual time=0.017..0.136 rows=77 loops=1)

203. 0.157 0.157 ↑ 1.0 77 1

Seq Scan on datas_part_0000009030 (cost=0.00..23.77 rows=77 width=675) (actual time=0.017..0.157 rows=77 loops=1)

204. 0.231 0.231 ↑ 1.0 80 1

Seq Scan on datas_part_0000009031 (cost=0.00..25.80 rows=80 width=676) (actual time=0.023..0.231 rows=80 loops=1)

205. 0.137 0.137 ↑ 1.0 77 1

Seq Scan on datas_part_0000009032 (cost=0.00..16.77 rows=77 width=676) (actual time=0.033..0.137 rows=77 loops=1)

206. 0.221 0.221 ↓ 1.5 122 1

Index Scan using datas_part_0000009033_ideventtype_idx on datas_part_0000009033 (cost=0.14..55.24 rows=79 width=676) (actual time=0.029..0.221 rows=122 loops=1)

207. 0.196 0.196 ↓ 1.6 117 1

Seq Scan on datas_part_0000009034 (cost=0.00..47.71 rows=71 width=674) (actual time=0.041..0.196 rows=117 loops=1)

208. 0.126 0.126 ↓ 1.1 108 1

Seq Scan on datas_part_0000009035 (cost=0.00..18.96 rows=96 width=676) (actual time=0.027..0.126 rows=108 loops=1)

209. 0.160 0.160 ↓ 1.2 118 1

Seq Scan on datas_part_0000009036 (cost=0.00..18.01 rows=101 width=674) (actual time=0.025..0.160 rows=118 loops=1)

210. 0.178 0.178 ↓ 1.3 119 1

Seq Scan on datas_part_0000009037 (cost=0.00..29.89 rows=89 width=676) (actual time=0.022..0.178 rows=119 loops=1)

211. 0.131 0.131 ↑ 1.0 76 1

Seq Scan on datas_part_0000009038 (cost=0.00..24.76 rows=76 width=678) (actual time=0.031..0.131 rows=76 loops=1)

212. 0.097 0.097 ↑ 1.0 77 1

Seq Scan on datas_part_0000009039 (cost=0.00..16.77 rows=77 width=677) (actual time=0.026..0.097 rows=77 loops=1)

213. 0.112 0.112 ↑ 1.0 77 1

Seq Scan on datas_part_0000009040 (cost=0.00..26.77 rows=77 width=676) (actual time=0.026..0.112 rows=77 loops=1)

214. 0.099 0.099 ↑ 1.0 79 1

Seq Scan on datas_part_0000009041 (cost=0.00..24.79 rows=79 width=675) (actual time=0.024..0.099 rows=79 loops=1)

215. 0.162 0.162 ↑ 1.0 77 1

Seq Scan on datas_part_0000009042 (cost=0.00..16.77 rows=77 width=677) (actual time=0.028..0.162 rows=77 loops=1)

216. 0.166 0.166 ↑ 1.0 77 1

Seq Scan on datas_part_0000009043 (cost=0.00..21.77 rows=77 width=677) (actual time=0.021..0.166 rows=77 loops=1)

217. 0.083 0.083 ↑ 1.0 75 1

Seq Scan on datas_part_0000009044 (cost=0.00..17.75 rows=75 width=674) (actual time=0.016..0.083 rows=75 loops=1)

218. 0.149 0.149 ↑ 1.0 119 1

Seq Scan on datas_part_0000009045 (cost=0.00..28.19 rows=119 width=684) (actual time=0.023..0.149 rows=119 loops=1)

219. 0.138 0.138 ↑ 1.0 77 1

Seq Scan on datas_part_0000009046 (cost=0.00..27.77 rows=77 width=674) (actual time=0.043..0.138 rows=77 loops=1)

220. 0.151 0.151 ↑ 1.0 77 1

Seq Scan on datas_part_0000009047 (cost=0.00..26.77 rows=77 width=676) (actual time=0.041..0.151 rows=77 loops=1)

221. 0.110 0.110 ↑ 1.0 77 1

Seq Scan on datas_part_0000009048 (cost=0.00..16.77 rows=77 width=675) (actual time=0.038..0.110 rows=77 loops=1)

222. 0.196 0.196 ↓ 1.5 118 1

Seq Scan on datas_part_0000009049 (cost=0.00..45.77 rows=77 width=675) (actual time=0.036..0.196 rows=118 loops=1)

223. 0.765 0.765 ↑ 1.0 60 1

Seq Scan on datas_part_0000009050 (cost=0.00..12.60 rows=60 width=674) (actual time=0.708..0.765 rows=60 loops=1)

224. 0.086 0.086 ↑ 1.0 77 1

Seq Scan on datas_part_0000009051 (cost=0.00..25.77 rows=77 width=675) (actual time=0.017..0.086 rows=77 loops=1)

225. 0.144 0.144 ↓ 1.2 118 1

Seq Scan on datas_part_0000009052 (cost=0.00..23.98 rows=98 width=676) (actual time=0.016..0.144 rows=118 loops=1)

226. 0.125 0.125 ↑ 1.0 77 1

Seq Scan on datas_part_0000009053 (cost=0.00..23.77 rows=77 width=677) (actual time=0.026..0.125 rows=77 loops=1)

227. 0.092 0.092 ↑ 1.0 77 1

Seq Scan on datas_part_0000009054 (cost=0.00..22.77 rows=77 width=676) (actual time=0.016..0.092 rows=77 loops=1)

228. 0.104 0.104 ↑ 1.0 77 1

Seq Scan on datas_part_0000009056 (cost=0.00..19.77 rows=77 width=675) (actual time=0.025..0.104 rows=77 loops=1)

229. 0.093 0.093 ↑ 1.0 69 1

Seq Scan on datas_part_0000009057 (cost=0.00..14.69 rows=69 width=676) (actual time=0.015..0.093 rows=69 loops=1)

230. 0.102 0.102 ↑ 1.0 77 1

Seq Scan on datas_part_0000009058 (cost=0.00..13.77 rows=77 width=677) (actual time=0.014..0.102 rows=77 loops=1)

231. 0.152 0.152 ↑ 1.0 118 1

Seq Scan on datas_part_0000009059 (cost=0.00..34.18 rows=118 width=682) (actual time=0.020..0.152 rows=118 loops=1)

232. 0.103 0.103 ↓ 1.0 75 1

Seq Scan on datas_part_0000009061 (cost=0.00..18.74 rows=74 width=673) (actual time=0.021..0.103 rows=75 loops=1)

233. 0.082 0.082 ↑ 1.0 77 1

Seq Scan on datas_part_0000009062 (cost=0.00..17.77 rows=77 width=678) (actual time=0.021..0.082 rows=77 loops=1)

234. 0.133 0.133 ↑ 1.0 76 1

Seq Scan on datas_part_0000009063 (cost=0.00..48.76 rows=76 width=676) (actual time=0.020..0.133 rows=76 loops=1)

235. 0.125 0.125 ↑ 1.0 75 1

Seq Scan on datas_part_0000009064 (cost=0.00..11.75 rows=75 width=675) (actual time=0.016..0.125 rows=75 loops=1)

236. 0.103 0.103 ↑ 1.0 75 1

Seq Scan on datas_part_0000009066 (cost=0.00..22.75 rows=75 width=674) (actual time=0.020..0.103 rows=75 loops=1)

237. 0.098 0.098 ↑ 1.0 73 1

Seq Scan on datas_part_0000009067 (cost=0.00..18.73 rows=73 width=680) (actual time=0.017..0.098 rows=73 loops=1)

238. 0.097 0.097 ↑ 1.0 77 1

Seq Scan on datas_part_0000009068 (cost=0.00..24.77 rows=77 width=677) (actual time=0.018..0.097 rows=77 loops=1)

239. 0.085 0.085 ↑ 1.0 75 1

Seq Scan on datas_part_0000009069 (cost=0.00..23.75 rows=75 width=676) (actual time=0.016..0.085 rows=75 loops=1)

240. 0.124 0.124 ↓ 1.2 115 1

Seq Scan on datas_part_0000009070 (cost=0.00..25.94 rows=94 width=675) (actual time=0.015..0.124 rows=115 loops=1)

241. 0.211 0.211 ↓ 1.8 108 1

Index Scan using datas_part_0000009071_ideventtype_idx on datas_part_0000009071 (cost=0.14..61.04 rows=60 width=668) (actual time=0.029..0.211 rows=108 loops=1)

242. 0.106 0.106 ↑ 1.0 75 1

Seq Scan on datas_part_0000009072 (cost=0.00..26.75 rows=75 width=675) (actual time=0.021..0.106 rows=75 loops=1)

243. 0.088 0.088 ↑ 1.0 75 1

Seq Scan on datas_part_0000009073 (cost=0.00..23.75 rows=75 width=676) (actual time=0.016..0.088 rows=75 loops=1)

244. 0.110 0.110 ↑ 1.0 75 1

Seq Scan on datas_part_0000009074 (cost=0.00..35.75 rows=75 width=677) (actual time=0.017..0.110 rows=75 loops=1)

245. 0.194 0.194 ↑ 1.0 116 1

Seq Scan on datas_part_0000009075 (cost=0.00..40.16 rows=116 width=684) (actual time=0.017..0.194 rows=116 loops=1)

246. 0.100 0.100 ↑ 1.0 75 1

Seq Scan on datas_part_0000009076 (cost=0.00..13.75 rows=75 width=673) (actual time=0.039..0.100 rows=75 loops=1)

247. 0.175 0.175 ↑ 1.0 75 1

Seq Scan on datas_part_0000009077 (cost=0.00..18.75 rows=75 width=676) (actual time=0.039..0.175 rows=75 loops=1)

248. 0.123 0.123 ↑ 1.0 75 1

Seq Scan on datas_part_0000009078 (cost=0.00..15.75 rows=75 width=676) (actual time=0.036..0.123 rows=75 loops=1)

249. 0.130 0.130 ↑ 1.0 63 1

Seq Scan on datas_part_0000009079 (cost=0.00..27.63 rows=63 width=674) (actual time=0.033..0.130 rows=63 loops=1)

250. 0.138 0.138 ↑ 1.0 74 1

Seq Scan on datas_part_0000009080 (cost=0.00..19.74 rows=74 width=675) (actual time=0.032..0.138 rows=74 loops=1)

251. 10.976 10.976 ↑ 1.0 54 1

Seq Scan on datas_part_0000009081 (cost=0.00..11.54 rows=54 width=676) (actual time=0.039..10.976 rows=54 loops=1)

252. 0.143 0.143 ↑ 1.0 77 1

Seq Scan on datas_part_0000009082 (cost=0.00..14.77 rows=77 width=675) (actual time=0.019..0.143 rows=77 loops=1)

253. 39.943 39.943 ↑ 1.0 76 1

Seq Scan on datas_part_0000009083 (cost=0.00..13.76 rows=76 width=684) (actual time=0.023..39.943 rows=76 loops=1)

254. 0.112 0.112 ↑ 1.0 75 1

Seq Scan on datas_part_0000009085 (cost=0.00..18.75 rows=75 width=676) (actual time=0.025..0.112 rows=75 loops=1)

255. 0.091 0.091 ↑ 1.0 75 1

Seq Scan on datas_part_0000009087 (cost=0.00..14.75 rows=75 width=675) (actual time=0.024..0.091 rows=75 loops=1)

256. 0.107 0.107 ↑ 1.0 75 1

Seq Scan on datas_part_0000009088 (cost=0.00..24.75 rows=75 width=673) (actual time=0.014..0.107 rows=75 loops=1)

257. 0.071 0.071 ↑ 1.0 54 1

Seq Scan on datas_part_0000009089 (cost=0.00..8.54 rows=54 width=677) (actual time=0.018..0.071 rows=54 loops=1)

258. 0.169 0.169 ↑ 1.0 73 1

Seq Scan on datas_part_0000009090 (cost=0.00..13.73 rows=73 width=676) (actual time=0.019..0.169 rows=73 loops=1)

259. 0.144 0.144 ↑ 1.0 75 1

Seq Scan on datas_part_0000009091 (cost=0.00..43.75 rows=75 width=676) (actual time=0.021..0.144 rows=75 loops=1)

260. 0.071 0.071 ↑ 1.0 73 1

Seq Scan on datas_part_0000009092 (cost=0.00..13.73 rows=73 width=677) (actual time=0.013..0.071 rows=73 loops=1)

261. 0.080 0.080 ↑ 1.0 73 1

Seq Scan on datas_part_0000009093 (cost=0.00..13.73 rows=73 width=677) (actual time=0.016..0.080 rows=73 loops=1)

262. 0.115 0.115 ↑ 1.0 73 1

Seq Scan on datas_part_0000009094 (cost=0.00..23.73 rows=73 width=677) (actual time=0.019..0.115 rows=73 loops=1)

263. 0.115 0.115 ↑ 1.0 73 1

Seq Scan on datas_part_0000009095 (cost=0.00..34.73 rows=73 width=677) (actual time=0.020..0.115 rows=73 loops=1)

264. 0.113 0.113 ↑ 1.0 73 1

Seq Scan on datas_part_0000009096 (cost=0.00..24.73 rows=73 width=675) (actual time=0.016..0.113 rows=73 loops=1)

265. 0.092 0.092 ↑ 1.0 75 1

Seq Scan on datas_part_0000009097 (cost=0.00..17.75 rows=75 width=675) (actual time=0.019..0.092 rows=75 loops=1)

266. 0.074 0.074 ↑ 1.0 77 1

Seq Scan on datas_part_0000009098 (cost=0.00..15.77 rows=77 width=677) (actual time=0.012..0.074 rows=77 loops=1)

267. 0.093 0.093 ↑ 1.0 75 1

Seq Scan on datas_part_0000009099 (cost=0.00..22.75 rows=75 width=675) (actual time=0.020..0.093 rows=75 loops=1)

268. 1.916 1.916 ↑ 1.0 75 1

Seq Scan on datas_part_0000009100 (cost=0.00..33.75 rows=75 width=679) (actual time=0.022..1.916 rows=75 loops=1)

269. 0.118 0.118 ↑ 1.0 75 1

Seq Scan on datas_part_0000009101 (cost=0.00..29.75 rows=75 width=680) (actual time=0.023..0.118 rows=75 loops=1)

270. 0.084 0.084 ↑ 1.0 71 1

Seq Scan on datas_part_0000009102 (cost=0.00..17.71 rows=71 width=677) (actual time=0.017..0.084 rows=71 loops=1)

271. 0.096 0.096 ↑ 1.0 75 1

Seq Scan on datas_part_0000009104 (cost=0.00..24.75 rows=75 width=678) (actual time=0.012..0.096 rows=75 loops=1)

272. 0.078 0.078 ↑ 1.0 73 1

Seq Scan on datas_part_0000009105 (cost=0.00..15.73 rows=73 width=676) (actual time=0.011..0.078 rows=73 loops=1)

273. 0.075 0.075 ↑ 1.0 73 1

Seq Scan on datas_part_0000009106 (cost=0.00..9.73 rows=73 width=676) (actual time=0.017..0.075 rows=73 loops=1)

274. 0.111 0.111 ↑ 1.0 73 1

Seq Scan on datas_part_0000009107 (cost=0.00..30.73 rows=73 width=679) (actual time=0.018..0.111 rows=73 loops=1)

275. 0.083 0.083 ↑ 1.0 73 1

Seq Scan on datas_part_0000009108 (cost=0.00..12.73 rows=73 width=676) (actual time=0.014..0.083 rows=73 loops=1)

276. 0.109 0.109 ↑ 1.0 75 1

Seq Scan on datas_part_0000009109 (cost=0.00..34.75 rows=75 width=676) (actual time=0.014..0.109 rows=75 loops=1)

277. 0.015 0.015 ↓ 2.0 2 1

Seq Scan on datas_part_0000009110 (cost=0.00..1.01 rows=1 width=658) (actual time=0.014..0.015 rows=2 loops=1)

278. 0.071 0.071 ↑ 1.0 75 1

Seq Scan on datas_part_0000009111 (cost=0.00..13.75 rows=75 width=677) (actual time=0.014..0.071 rows=75 loops=1)

279. 0.126 0.126 ↑ 1.0 75 1

Seq Scan on datas_part_0000009112 (cost=0.00..48.75 rows=75 width=676) (actual time=0.019..0.126 rows=75 loops=1)

280. 0.071 0.071 ↑ 1.0 73 1

Seq Scan on datas_part_0000009113 (cost=0.00..17.73 rows=73 width=677) (actual time=0.011..0.071 rows=73 loops=1)

281. 0.109 0.109 ↑ 1.0 112 1

Seq Scan on datas_part_0000009114 (cost=0.00..20.12 rows=112 width=686) (actual time=0.015..0.109 rows=112 loops=1)

282. 0.068 0.068 ↑ 1.0 56 1

Seq Scan on datas_part_0000009115 (cost=0.00..14.56 rows=56 width=669) (actual time=0.012..0.068 rows=56 loops=1)

283. 0.080 0.080 ↑ 1.0 73 1

Seq Scan on datas_part_0000009116 (cost=0.00..19.73 rows=73 width=677) (actual time=0.011..0.080 rows=73 loops=1)

284. 0.084 0.084 ↑ 1.0 73 1

Seq Scan on datas_part_0000009117 (cost=0.00..15.73 rows=73 width=675) (actual time=0.015..0.084 rows=73 loops=1)

285. 0.082 0.082 ↑ 1.0 67 1

Seq Scan on datas_part_0000009118 (cost=0.00..15.67 rows=67 width=674) (actual time=0.014..0.082 rows=67 loops=1)

286. 0.081 0.081 ↑ 1.0 72 1

Seq Scan on datas_part_0000009119 (cost=0.00..10.72 rows=72 width=676) (actual time=0.022..0.081 rows=72 loops=1)

287. 0.078 0.078 ↑ 1.0 75 1

Seq Scan on datas_part_0000009120 (cost=0.00..15.75 rows=75 width=675) (actual time=0.015..0.078 rows=75 loops=1)

288. 0.100 0.100 ↑ 1.0 73 1

Seq Scan on datas_part_0000009121 (cost=0.00..15.73 rows=73 width=677) (actual time=0.025..0.100 rows=73 loops=1)

289. 0.128 0.128 ↑ 1.0 73 1

Index Scan using datas_part_0000009122_ideventtype_idx on datas_part_0000009122 (cost=0.14..58.19 rows=73 width=677) (actual time=0.032..0.128 rows=73 loops=1)

290. 0.179 0.179 ↑ 1.0 73 1

Seq Scan on datas_part_0000009123 (cost=0.00..28.73 rows=73 width=676) (actual time=0.039..0.179 rows=73 loops=1)

291. 0.114 0.114 ↑ 1.0 73 1

Seq Scan on datas_part_0000009124 (cost=0.00..26.73 rows=73 width=676) (actual time=0.021..0.114 rows=73 loops=1)

292. 0.148 0.148 ↑ 1.0 74 1

Seq Scan on datas_part_0000009125 (cost=0.00..13.74 rows=74 width=678) (actual time=0.028..0.148 rows=74 loops=1)

293. 0.133 0.133 ↑ 1.0 73 1

Seq Scan on datas_part_0000009126 (cost=0.00..35.73 rows=73 width=676) (actual time=0.021..0.133 rows=73 loops=1)

294. 0.133 0.133 ↑ 1.0 77 1

Seq Scan on datas_part_0000009127 (cost=0.00..35.77 rows=77 width=676) (actual time=0.032..0.133 rows=77 loops=1)

295. 0.099 0.099 ↑ 1.0 68 1

Seq Scan on datas_part_0000009128 (cost=0.00..11.68 rows=68 width=676) (actual time=0.034..0.099 rows=68 loops=1)

296. 7.389 7.389 ↑ 1.0 75 1

Seq Scan on datas_part_0000009129 (cost=0.00..32.75 rows=75 width=676) (actual time=0.020..7.389 rows=75 loops=1)

297. 0.095 0.095 ↑ 1.0 75 1

Seq Scan on datas_part_0000009130 (cost=0.00..11.75 rows=75 width=676) (actual time=0.034..0.095 rows=75 loops=1)

298. 0.090 0.090 ↑ 1.0 73 1

Seq Scan on datas_part_0000009131 (cost=0.00..19.73 rows=73 width=676) (actual time=0.019..0.090 rows=73 loops=1)

299. 0.197 0.197 ↓ 1.5 119 1

Index Scan using datas_part_0000009132_ideventtype_idx on datas_part_0000009132 (cost=0.14..54.56 rows=77 width=675) (actual time=0.030..0.197 rows=119 loops=1)

300. 0.122 0.122 ↓ 1.0 111 1

Seq Scan on datas_part_0000009133 (cost=0.00..17.09 rows=109 width=673) (actual time=0.016..0.122 rows=111 loops=1)

301. 0.106 0.106 ↓ 1.1 113 1

Seq Scan on datas_part_0000009134 (cost=0.00..18.01 rows=101 width=675) (actual time=0.014..0.106 rows=113 loops=1)

302. 0.120 0.120 ↑ 1.1 109 1

Seq Scan on datas_part_0000009135 (cost=0.00..19.23 rows=123 width=673) (actual time=0.017..0.120 rows=109 loops=1)

303. 0.107 0.107 ↑ 1.0 77 1

Seq Scan on datas_part_0000009136 (cost=0.00..12.77 rows=77 width=675) (actual time=0.018..0.107 rows=77 loops=1)

304. 0.174 0.174 ↑ 1.0 118 1

Seq Scan on datas_part_0000009137 (cost=0.00..31.18 rows=118 width=682) (actual time=0.012..0.174 rows=118 loops=1)

305. 0.102 0.102 ↑ 1.0 77 1

Seq Scan on datas_part_0000009138 (cost=0.00..23.77 rows=77 width=676) (actual time=0.016..0.102 rows=77 loops=1)

306. 47.495 47.495 ↑ 1.0 107 1

Seq Scan on datas_part_0000009139 (cost=0.00..25.07 rows=107 width=681) (actual time=0.018..47.495 rows=107 loops=1)

307. 11.097 11.097 ↓ 1.1 103 1

Seq Scan on datas_part_0000009140 (cost=0.00..43.90 rows=90 width=681) (actual time=0.015..11.097 rows=103 loops=1)

308. 0.197 0.197 ↓ 1.3 117 1

Seq Scan on datas_part_0000009141 (cost=0.00..23.92 rows=92 width=681) (actual time=0.046..0.197 rows=117 loops=1)

309. 0.190 0.190 ↓ 1.4 115 1

Seq Scan on datas_part_0000009142 (cost=0.00..34.85 rows=85 width=681) (actual time=0.051..0.190 rows=115 loops=1)

310. 0.176 0.176 ↓ 1.2 115 1

Seq Scan on datas_part_0000009144 (cost=0.00..29.98 rows=98 width=683) (actual time=0.035..0.176 rows=115 loops=1)

311. 0.159 0.159 ↓ 1.3 115 1

Seq Scan on datas_part_0000009145 (cost=0.00..30.90 rows=90 width=672) (actual time=0.035..0.159 rows=115 loops=1)

312. 0.173 0.173 ↓ 1.3 115 1

Seq Scan on datas_part_0000009146 (cost=0.00..28.90 rows=90 width=674) (actual time=0.045..0.173 rows=115 loops=1)

313. 0.188 0.188 ↓ 1.2 118 1

Seq Scan on datas_part_0000009148 (cost=0.00..27.99 rows=99 width=675) (actual time=0.046..0.188 rows=118 loops=1)

314. 0.147 0.147 ↑ 1.0 77 1

Index Scan using datas_part_0000009149_ideventtype_idx on datas_part_0000009149 (cost=0.14..60.07 rows=77 width=675) (actual time=0.030..0.147 rows=77 loops=1)

315. 0.209 0.209 ↓ 1.3 118 1

Seq Scan on datas_part_0000009150 (cost=0.00..31.88 rows=88 width=681) (actual time=0.014..0.209 rows=118 loops=1)

316. 0.083 0.083 ↑ 1.0 74 1

Seq Scan on datas_part_0000009151 (cost=0.00..17.74 rows=74 width=683) (actual time=0.012..0.083 rows=74 loops=1)

317. 0.070 0.070 ↑ 1.0 77 1

Seq Scan on datas_part_0000009152 (cost=0.00..11.77 rows=77 width=675) (actual time=0.015..0.070 rows=77 loops=1)

318. 0.177 0.177 ↓ 1.3 118 1

Seq Scan on datas_part_0000009153 (cost=0.00..32.88 rows=88 width=675) (actual time=0.019..0.177 rows=118 loops=1)

319. 0.138 0.138 ↑ 1.0 118 1

Seq Scan on datas_part_0000009154 (cost=0.00..34.18 rows=118 width=682) (actual time=0.016..0.138 rows=118 loops=1)

320. 0.103 0.103 ↑ 1.0 77 1

Seq Scan on datas_part_0000009155 (cost=0.00..18.77 rows=77 width=677) (actual time=0.015..0.103 rows=77 loops=1)

321. 0.085 0.085 ↑ 1.0 77 1

Seq Scan on datas_part_0000009156 (cost=0.00..19.77 rows=77 width=676) (actual time=0.018..0.085 rows=77 loops=1)

322. 0.129 0.129 ↓ 1.1 118 1

Seq Scan on datas_part_0000009158 (cost=0.00..22.08 rows=108 width=677) (actual time=0.018..0.129 rows=118 loops=1)

323. 1.967 1.967 ↓ 1.5 114 1

Seq Scan on datas_part_0000009159 (cost=0.00..33.75 rows=75 width=673) (actual time=1.829..1.967 rows=114 loops=1)

324. 0.084 0.084 ↑ 1.0 76 1

Seq Scan on datas_part_0000009160 (cost=0.00..17.76 rows=76 width=684) (actual time=0.016..0.084 rows=76 loops=1)

325. 0.130 0.130 ↓ 1.4 118 1

Seq Scan on datas_part_0000009161 (cost=0.00..35.87 rows=87 width=683) (actual time=0.020..0.130 rows=118 loops=1)

326. 0.314 0.314 ↑ 1.0 76 1

Seq Scan on datas_part_0000009162 (cost=0.00..16.76 rows=76 width=680) (actual time=0.024..0.314 rows=76 loops=1)

327. 0.087 0.087 ↑ 1.0 76 1

Seq Scan on datas_part_0000009163 (cost=0.00..23.76 rows=76 width=681) (actual time=0.013..0.087 rows=76 loops=1)

328. 0.074 0.074 ↑ 1.0 77 1

Seq Scan on datas_part_0000009164 (cost=0.00..13.77 rows=77 width=676) (actual time=0.013..0.074 rows=77 loops=1)

329. 0.111 0.111 ↓ 1.3 118 1

Seq Scan on datas_part_0000009165 (cost=0.00..22.94 rows=94 width=683) (actual time=0.013..0.111 rows=118 loops=1)

330. 0.084 0.084 ↑ 1.0 77 1

Seq Scan on datas_part_0000009166 (cost=0.00..11.77 rows=77 width=675) (actual time=0.021..0.084 rows=77 loops=1)

331. 0.180 0.180 ↑ 1.0 73 1

Index Scan using datas_part_0000009167_ideventtype_idx on datas_part_0000009167 (cost=0.14..53.16 rows=73 width=674) (actual time=0.047..0.180 rows=73 loops=1)

332. 0.120 0.120 ↑ 1.1 77 1

Seq Scan on datas_part_0000009168 (cost=0.00..31.88 rows=88 width=673) (actual time=0.015..0.120 rows=77 loops=1)

333. 0.106 0.106 ↓ 1.2 114 1

Seq Scan on datas_part_0000009169 (cost=0.00..16.95 rows=95 width=682) (actual time=0.016..0.106 rows=114 loops=1)

334. 0.070 0.070 ↑ 1.0 77 1

Seq Scan on datas_part_0000009170 (cost=0.00..11.77 rows=77 width=674) (actual time=0.012..0.070 rows=77 loops=1)

335. 0.124 0.124 ↑ 1.0 115 1

Seq Scan on datas_part_0000009171 (cost=0.00..23.15 rows=115 width=684) (actual time=0.016..0.124 rows=115 loops=1)

336. 0.136 0.136 ↓ 1.4 118 1

Seq Scan on datas_part_0000009172 (cost=0.00..31.87 rows=87 width=685) (actual time=0.017..0.136 rows=118 loops=1)

337. 9.037 9.037 ↑ 1.0 118 1

Seq Scan on datas_part_0000009173 (cost=0.00..25.18 rows=118 width=681) (actual time=8.916..9.037 rows=118 loops=1)

338. 0.174 0.174 ↑ 1.0 118 1

Seq Scan on datas_part_0000009174 (cost=0.00..46.18 rows=118 width=685) (actual time=0.021..0.174 rows=118 loops=1)

339. 3.663 3.663 ↑ 1.0 118 1

Seq Scan on datas_part_0000009175 (cost=0.00..33.18 rows=118 width=682) (actual time=0.013..3.663 rows=118 loops=1)

340. 0.165 0.165 ↑ 1.0 118 1

Seq Scan on datas_part_0000009176 (cost=0.00..52.18 rows=118 width=685) (actual time=0.014..0.165 rows=118 loops=1)

341. 0.143 0.143 ↓ 1.3 118 1

Seq Scan on datas_part_0000009178 (cost=0.00..32.88 rows=88 width=684) (actual time=0.020..0.143 rows=118 loops=1)

342. 0.124 0.124 ↓ 1.2 117 1

Seq Scan on datas_part_0000009179 (cost=0.00..18.99 rows=99 width=682) (actual time=0.019..0.124 rows=117 loops=1)

343. 0.122 0.122 ↑ 1.0 118 1

Seq Scan on datas_part_0000009180 (cost=0.00..29.18 rows=118 width=681) (actual time=0.013..0.122 rows=118 loops=1)

344. 0.152 0.152 ↑ 1.0 118 1

Seq Scan on datas_part_0000009181 (cost=0.00..31.18 rows=118 width=685) (actual time=0.013..0.152 rows=118 loops=1)

345. 0.132 0.132 ↓ 1.3 118 1

Seq Scan on datas_part_0000009182 (cost=0.00..27.90 rows=90 width=684) (actual time=0.022..0.132 rows=118 loops=1)

346. 0.142 0.142 ↑ 1.0 118 1

Seq Scan on datas_part_0000009183 (cost=0.00..42.18 rows=118 width=683) (actual time=0.017..0.142 rows=118 loops=1)

347. 0.133 0.133 ↓ 1.2 118 1

Seq Scan on datas_part_0000009184 (cost=0.00..18.99 rows=99 width=682) (actual time=0.018..0.133 rows=118 loops=1)

348. 0.543 0.543 ↑ 1.0 118 1

Seq Scan on datas_part_0000009185 (cost=0.00..30.18 rows=118 width=684) (actual time=0.364..0.543 rows=118 loops=1)

349. 0.122 0.122 ↑ 1.0 115 1

Seq Scan on datas_part_0000009186 (cost=0.00..32.15 rows=115 width=682) (actual time=0.014..0.122 rows=115 loops=1)

350. 0.155 0.155 ↑ 1.6 114 1

Seq Scan on datas_part_0000009187 (cost=0.00..40.88 rows=188 width=685) (actual time=0.018..0.155 rows=114 loops=1)

351. 0.135 0.135 ↓ 1.3 118 1

Seq Scan on datas_part_0000009188 (cost=0.00..25.92 rows=92 width=682) (actual time=0.014..0.135 rows=118 loops=1)

352. 0.163 0.163 ↑ 1.0 118 1

Seq Scan on datas_part_0000009189 (cost=0.00..31.18 rows=118 width=682) (actual time=0.028..0.163 rows=118 loops=1)

353. 0.201 0.201 ↑ 1.0 115 1

Seq Scan on datas_part_0000009190 (cost=0.00..56.15 rows=115 width=685) (actual time=0.025..0.201 rows=115 loops=1)

354. 0.140 0.140 ↓ 1.3 117 1

Seq Scan on datas_part_0000009191 (cost=0.00..23.93 rows=93 width=684) (actual time=0.035..0.140 rows=117 loops=1)

355. 0.153 0.153 ↓ 1.3 118 1

Seq Scan on datas_part_0000009192 (cost=0.00..33.88 rows=88 width=685) (actual time=0.025..0.153 rows=118 loops=1)

356. 0.149 0.149 ↓ 1.1 100 1

Seq Scan on datas_part_0000009193 (cost=0.00..24.94 rows=94 width=687) (actual time=0.034..0.149 rows=100 loops=1)

357. 0.029 0.029 ↓ 2.0 2 1

Seq Scan on datas_part_0000009195 (cost=0.00..1.01 rows=1 width=654) (actual time=0.029..0.029 rows=2 loops=1)

358. 0.135 0.135 ↓ 1.3 118 1

Seq Scan on datas_part_0000009196 (cost=0.00..24.92 rows=92 width=683) (actual time=0.019..0.135 rows=118 loops=1)

359. 0.143 0.143 ↓ 1.2 117 1

Seq Scan on datas_part_0000009197 (cost=0.00..20.96 rows=96 width=683) (actual time=0.031..0.143 rows=117 loops=1)

360. 0.132 0.132 ↓ 1.2 118 1

Seq Scan on datas_part_0000009198 (cost=0.00..21.95 rows=95 width=684) (actual time=0.037..0.132 rows=118 loops=1)

361. 0.759 0.759 ↓ 1.5 118 1

Seq Scan on datas_part_0000009199 (cost=0.00..25.77 rows=77 width=683) (actual time=0.050..0.759 rows=118 loops=1)

362. 0.121 0.121 ↓ 1.3 118 1

Seq Scan on datas_part_0000009200 (cost=0.00..23.93 rows=93 width=684) (actual time=0.016..0.121 rows=118 loops=1)

363. 0.135 0.135 ↓ 1.4 118 1

Seq Scan on datas_part_0000009201 (cost=0.00..34.87 rows=87 width=684) (actual time=0.017..0.135 rows=118 loops=1)

364. 0.125 0.125 ↓ 1.3 118 1

Seq Scan on datas_part_0000009202 (cost=0.00..24.92 rows=92 width=682) (actual time=0.012..0.125 rows=118 loops=1)

365. 0.168 0.168 ↑ 1.0 118 1

Seq Scan on datas_part_0000009203 (cost=0.00..37.18 rows=118 width=684) (actual time=0.034..0.168 rows=118 loops=1)

366. 0.176 0.176 ↓ 1.5 118 1

Seq Scan on datas_part_0000009204 (cost=0.00..31.77 rows=77 width=684) (actual time=0.036..0.176 rows=118 loops=1)

367. 0.159 0.159 ↑ 1.0 118 1

Seq Scan on datas_part_0000009205 (cost=0.00..20.18 rows=118 width=683) (actual time=0.038..0.159 rows=118 loops=1)

368. 0.162 0.162 ↓ 1.3 118 1

Seq Scan on datas_part_0000009207 (cost=0.00..21.94 rows=94 width=686) (actual time=0.040..0.162 rows=118 loops=1)

369. 0.100 0.100 ↓ 1.2 118 1

Seq Scan on datas_part_0000009208 (cost=0.00..22.01 rows=101 width=684) (actual time=0.015..0.100 rows=118 loops=1)

370. 0.139 0.139 ↓ 1.5 118 1

Seq Scan on datas_part_0000009209 (cost=0.00..27.77 rows=77 width=677) (actual time=0.020..0.139 rows=118 loops=1)

371. 0.120 0.120 ↓ 1.3 117 1

Seq Scan on datas_part_0000009210 (cost=0.00..32.87 rows=87 width=684) (actual time=0.012..0.120 rows=117 loops=1)

372. 0.100 0.100 ↓ 1.2 118 1

Seq Scan on datas_part_0000009211 (cost=0.00..19.98 rows=98 width=682) (actual time=0.013..0.100 rows=118 loops=1)

373. 0.113 0.113 ↑ 1.0 115 1

Seq Scan on datas_part_0000009212 (cost=0.00..29.15 rows=115 width=685) (actual time=0.012..0.113 rows=115 loops=1)

374. 0.126 0.126 ↑ 1.0 79 1

Seq Scan on datas_part_0000009213 (cost=0.00..43.79 rows=79 width=677) (actual time=0.013..0.126 rows=79 loops=1)

375. 0.090 0.090 ↑ 1.0 77 1

Seq Scan on datas_part_0000009214 (cost=0.00..25.77 rows=77 width=677) (actual time=0.012..0.090 rows=77 loops=1)

376. 0.077 0.077 ↑ 1.0 77 1

Seq Scan on datas_part_0000009215 (cost=0.00..19.77 rows=77 width=677) (actual time=0.012..0.077 rows=77 loops=1)

377. 0.095 0.095 ↑ 1.0 75 1

Seq Scan on datas_part_0000009216 (cost=0.00..16.75 rows=75 width=669) (actual time=0.016..0.095 rows=75 loops=1)

378. 0.110 0.110 ↑ 1.0 77 1

Seq Scan on datas_part_0000009217 (cost=0.00..25.77 rows=77 width=676) (actual time=0.013..0.110 rows=77 loops=1)

379. 0.083 0.083 ↑ 1.0 77 1

Seq Scan on datas_part_0000009218 (cost=0.00..19.77 rows=77 width=676) (actual time=0.012..0.083 rows=77 loops=1)

380. 0.092 0.092 ↑ 1.0 78 1

Seq Scan on datas_part_0000009219 (cost=0.00..17.78 rows=78 width=674) (actual time=0.010..0.092 rows=78 loops=1)

381. 0.088 0.088 ↑ 1.0 75 1

Seq Scan on datas_part_0000009220 (cost=0.00..20.75 rows=75 width=678) (actual time=0.012..0.088 rows=75 loops=1)

382. 0.083 0.083 ↑ 1.0 77 1

Seq Scan on datas_part_0000009221 (cost=0.00..25.77 rows=77 width=676) (actual time=0.010..0.083 rows=77 loops=1)

383. 0.083 0.083 ↑ 1.0 55 1

Seq Scan on datas_part_0000009222 (cost=0.00..23.55 rows=55 width=668) (actual time=0.010..0.083 rows=55 loops=1)

384. 0.127 0.127 ↑ 1.0 77 1

Seq Scan on datas_part_0000009223 (cost=0.00..43.77 rows=77 width=676) (actual time=0.012..0.127 rows=77 loops=1)

385. 0.110 0.110 ↑ 1.0 77 1

Seq Scan on datas_part_0000009224 (cost=0.00..33.77 rows=77 width=679) (actual time=0.016..0.110 rows=77 loops=1)

386. 0.086 0.086 ↑ 1.0 77 1

Seq Scan on datas_part_0000009225 (cost=0.00..14.77 rows=77 width=676) (actual time=0.018..0.086 rows=77 loops=1)

387. 0.085 0.085 ↑ 1.0 77 1

Seq Scan on datas_part_0000009226 (cost=0.00..18.77 rows=77 width=676) (actual time=0.013..0.085 rows=77 loops=1)

388. 0.112 0.112 ↑ 1.0 73 1

Seq Scan on datas_part_0000009227 (cost=0.00..36.73 rows=73 width=674) (actual time=0.011..0.112 rows=73 loops=1)

389. 0.102 0.102 ↑ 1.0 74 1

Seq Scan on datas_part_0000009228 (cost=0.00..34.74 rows=74 width=675) (actual time=0.012..0.102 rows=74 loops=1)

390. 0.128 0.128 ↓ 1.3 118 1

Seq Scan on datas_part_0000009229 (cost=0.00..24.92 rows=92 width=676) (actual time=0.013..0.128 rows=118 loops=1)

391. 0.073 0.073 ↑ 1.0 75 1

Seq Scan on datas_part_0000009230 (cost=0.00..11.75 rows=75 width=675) (actual time=0.017..0.073 rows=75 loops=1)

392. 0.106 0.106 ↑ 1.0 77 1

Seq Scan on datas_part_0000009231 (cost=0.00..30.77 rows=77 width=674) (actual time=0.011..0.106 rows=77 loops=1)

393. 0.075 0.075 ↑ 1.0 70 1

Seq Scan on datas_part_0000009232 (cost=0.00..12.70 rows=70 width=676) (actual time=0.013..0.075 rows=70 loops=1)

394. 0.093 0.093 ↑ 1.0 77 1

Seq Scan on datas_part_0000009234 (cost=0.00..21.77 rows=77 width=677) (actual time=0.012..0.093 rows=77 loops=1)

395. 0.093 0.093 ↑ 1.0 77 1

Seq Scan on datas_part_0000009235 (cost=0.00..12.77 rows=77 width=675) (actual time=0.011..0.093 rows=77 loops=1)

396. 0.101 0.101 ↑ 1.0 77 1

Seq Scan on datas_part_0000009236 (cost=0.00..21.77 rows=77 width=676) (actual time=0.019..0.101 rows=77 loops=1)

397. 0.122 0.122 ↑ 1.0 73 1

Seq Scan on datas_part_0000009237 (cost=0.00..14.73 rows=73 width=676) (actual time=0.013..0.122 rows=73 loops=1)

398. 0.078 0.078 ↑ 1.0 72 1

Seq Scan on datas_part_0000009238 (cost=0.00..14.72 rows=72 width=674) (actual time=0.012..0.078 rows=72 loops=1)

399. 0.108 0.108 ↑ 1.0 77 1

Seq Scan on datas_part_0000009239 (cost=0.00..28.77 rows=77 width=676) (actual time=0.012..0.108 rows=77 loops=1)

400. 0.086 0.086 ↑ 1.0 72 1

Seq Scan on datas_part_0000009240 (cost=0.00..12.72 rows=72 width=679) (actual time=0.016..0.086 rows=72 loops=1)

401. 0.088 0.088 ↑ 1.0 77 1

Seq Scan on datas_part_0000009241 (cost=0.00..17.77 rows=77 width=675) (actual time=0.011..0.088 rows=77 loops=1)

402. 0.111 0.111 ↑ 1.0 75 1

Seq Scan on datas_part_0000009242 (cost=0.00..23.75 rows=75 width=676) (actual time=0.011..0.111 rows=75 loops=1)

403. 0.127 0.127 ↑ 1.0 77 1

Seq Scan on datas_part_0000009243 (cost=0.00..38.77 rows=77 width=677) (actual time=0.018..0.127 rows=77 loops=1)

404. 0.127 0.127 ↑ 1.0 118 1

Seq Scan on datas_part_0000009244 (cost=0.00..21.18 rows=118 width=684) (actual time=0.013..0.127 rows=118 loops=1)

405. 0.119 0.119 ↑ 1.0 79 1

Index Scan using datas_part_0000009245_ideventtype_idx on datas_part_0000009245 (cost=0.14..56.37 rows=79 width=677) (actual time=0.026..0.119 rows=79 loops=1)

406. 0.079 0.079 ↓ 1.0 71 1

Seq Scan on datas_part_0000009246 (cost=0.00..15.69 rows=69 width=673) (actual time=0.015..0.079 rows=71 loops=1)

407. 0.134 0.134 ↑ 1.0 77 1

Seq Scan on datas_part_0000009247 (cost=0.00..51.77 rows=77 width=676) (actual time=0.012..0.134 rows=77 loops=1)

408. 0.087 0.087 ↑ 1.0 77 1

Seq Scan on datas_part_0000009248 (cost=0.00..23.77 rows=77 width=677) (actual time=0.011..0.087 rows=77 loops=1)

409. 0.099 0.099 ↑ 1.0 77 1

Seq Scan on datas_part_0000009249 (cost=0.00..18.77 rows=77 width=676) (actual time=0.015..0.099 rows=77 loops=1)

410. 0.080 0.080 ↑ 1.0 75 1

Seq Scan on datas_part_0000009250 (cost=0.00..17.75 rows=75 width=673) (actual time=0.011..0.080 rows=75 loops=1)

411. 0.089 0.089 ↑ 1.0 66 1

Seq Scan on datas_part_0000009251 (cost=0.00..27.66 rows=66 width=671) (actual time=0.012..0.089 rows=66 loops=1)

412. 0.163 0.163 ↑ 1.0 77 1

Seq Scan on datas_part_0000009252 (cost=0.00..44.77 rows=77 width=677) (actual time=0.012..0.163 rows=77 loops=1)

413. 0.083 0.083 ↑ 1.0 77 1

Seq Scan on datas_part_0000009253 (cost=0.00..13.77 rows=77 width=677) (actual time=0.016..0.083 rows=77 loops=1)

414. 0.053 0.053 ↑ 1.0 55 1

Seq Scan on datas_part_0000009254 (cost=0.00..9.55 rows=55 width=655) (actual time=0.012..0.053 rows=55 loops=1)

415. 0.147 0.147 ↑ 1.0 77 1

Index Scan using datas_part_0000009255_ideventtype_idx on datas_part_0000009255 (cost=0.14..59.18 rows=77 width=677) (actual time=0.018..0.147 rows=77 loops=1)

416. 0.193 0.193 ↑ 1.0 156 1

Seq Scan on datas_part_0000009256 (cost=0.00..56.56 rows=156 width=672) (actual time=0.013..0.193 rows=156 loops=1)

417. 0.119 0.119 ↑ 1.2 75 1

Seq Scan on datas_part_0000009257 (cost=0.00..30.87 rows=87 width=675) (actual time=0.021..0.119 rows=75 loops=1)

418. 0.155 0.155 ↓ 1.3 114 1

Seq Scan on datas_part_0000009258 (cost=0.00..35.85 rows=85 width=672) (actual time=0.019..0.155 rows=114 loops=1)

419. 0.163 0.163 ↑ 1.0 111 1

Seq Scan on datas_part_0000009259 (cost=0.00..25.11 rows=111 width=679) (actual time=0.042..0.163 rows=111 loops=1)

420. 0.099 0.099 ↑ 1.0 75 1

Seq Scan on datas_part_0000009260 (cost=0.00..24.75 rows=75 width=676) (actual time=0.014..0.099 rows=75 loops=1)

421. 0.132 0.132 ↓ 1.3 118 1

Seq Scan on datas_part_0000009261 (cost=0.00..33.88 rows=88 width=675) (actual time=0.011..0.132 rows=118 loops=1)

422. 0.089 0.089 ↑ 1.0 75 1

Seq Scan on datas_part_0000009262 (cost=0.00..20.75 rows=75 width=673) (actual time=0.014..0.089 rows=75 loops=1)

423. 0.112 0.112 ↓ 1.2 114 1

Seq Scan on datas_part_0000009263 (cost=0.00..18.96 rows=96 width=682) (actual time=0.017..0.112 rows=114 loops=1)

424. 0.082 0.082 ↑ 1.0 75 1

Seq Scan on datas_part_0000009264 (cost=0.00..18.75 rows=75 width=673) (actual time=0.012..0.082 rows=75 loops=1)

425. 0.090 0.090 ↑ 1.0 75 1

Seq Scan on datas_part_0000009265 (cost=0.00..25.75 rows=75 width=675) (actual time=0.011..0.090 rows=75 loops=1)

426. 0.077 0.077 ↑ 1.0 70 1

Seq Scan on datas_part_0000009266 (cost=0.00..16.70 rows=70 width=677) (actual time=0.016..0.077 rows=70 loops=1)

427. 0.124 0.124 ↑ 1.0 118 1

Seq Scan on datas_part_0000009267 (cost=0.00..27.18 rows=118 width=684) (actual time=0.012..0.124 rows=118 loops=1)

428. 1.401 1.401 ↑ 1.0 114 1

Seq Scan on datas_part_0000009268 (cost=0.00..38.14 rows=114 width=682) (actual time=0.017..1.401 rows=114 loops=1)

429. 0.114 0.114 ↑ 1.0 74 1

Seq Scan on datas_part_0000009269 (cost=0.00..23.74 rows=74 width=682) (actual time=0.018..0.114 rows=74 loops=1)

430. 0.165 0.165 ↑ 1.0 118 1

Seq Scan on datas_part_0000009270 (cost=0.00..36.18 rows=118 width=684) (actual time=0.022..0.165 rows=118 loops=1)

431. 0.104 0.104 ↑ 1.0 117 1

Seq Scan on datas_part_0000009271 (cost=0.00..22.17 rows=117 width=686) (actual time=0.014..0.104 rows=117 loops=1)

432. 0.142 0.142 ↑ 1.0 114 1

Seq Scan on datas_part_0000009272 (cost=0.00..40.14 rows=114 width=683) (actual time=0.019..0.142 rows=114 loops=1)

433. 0.118 0.118 ↑ 1.0 118 1

Seq Scan on datas_part_0000009273 (cost=0.00..33.18 rows=118 width=683) (actual time=0.012..0.118 rows=118 loops=1)

434. 0.126 0.126 ↑ 1.0 118 1

Seq Scan on datas_part_0000009274 (cost=0.00..32.18 rows=118 width=683) (actual time=0.012..0.126 rows=118 loops=1)

435. 0.112 0.112 ↓ 1.1 83 1

Seq Scan on datas_part_0000009275 (cost=0.00..23.76 rows=76 width=683) (actual time=0.018..0.112 rows=83 loops=1)

436. 0.097 0.097 ↑ 1.0 76 1

Seq Scan on datas_part_0000009276 (cost=0.00..27.76 rows=76 width=680) (actual time=0.017..0.097 rows=76 loops=1)

437. 0.086 0.086 ↑ 1.0 104 1

Seq Scan on datas_part_0000009277 (cost=0.00..16.04 rows=104 width=673) (actual time=0.011..0.086 rows=104 loops=1)

438. 0.078 0.078 ↑ 1.0 77 1

Seq Scan on datas_part_0000009278 (cost=0.00..14.77 rows=77 width=676) (actual time=0.017..0.078 rows=77 loops=1)

439. 0.134 0.134 ↑ 1.0 77 1

Index Scan using datas_part_0000009279_ideventtype_idx on datas_part_0000009279 (cost=0.14..70.79 rows=77 width=676) (actual time=0.025..0.134 rows=77 loops=1)

440. 0.091 0.091 ↑ 1.0 75 1

Seq Scan on datas_part_0000009280 (cost=0.00..18.75 rows=75 width=673) (actual time=0.019..0.091 rows=75 loops=1)

441. 0.132 0.132 ↓ 1.3 158 1

Seq Scan on datas_part_0000009281 (cost=0.00..25.22 rows=122 width=682) (actual time=0.021..0.132 rows=158 loops=1)

442. 0.125 0.125 ↑ 1.0 115 1

Seq Scan on datas_part_0000009282 (cost=0.00..35.15 rows=115 width=683) (actual time=0.012..0.125 rows=115 loops=1)

443. 0.085 0.085 ↑ 1.0 75 1

Seq Scan on datas_part_0000009283 (cost=0.00..13.75 rows=75 width=675) (actual time=0.018..0.085 rows=75 loops=1)

444. 7.639 7.639 ↓ 1.1 149 1

Seq Scan on datas_part_0000009284 (cost=0.00..32.30 rows=130 width=680) (actual time=3.836..7.639 rows=149 loops=1)

445. 0.144 0.144 ↑ 1.0 75 1

Seq Scan on datas_part_0000009285 (cost=0.00..47.75 rows=75 width=676) (actual time=0.015..0.144 rows=75 loops=1)

446. 0.090 0.090 ↑ 1.0 77 1

Seq Scan on datas_part_0000009286 (cost=0.00..19.77 rows=77 width=676) (actual time=0.017..0.090 rows=77 loops=1)

447. 0.118 0.118 ↓ 1.2 114 1

Seq Scan on datas_part_0000009287 (cost=0.00..20.99 rows=99 width=680) (actual time=0.016..0.118 rows=114 loops=1)

448. 0.149 0.149 ↑ 1.8 101 1

Seq Scan on datas_part_0000009288 (cost=0.00..39.78 rows=178 width=675) (actual time=0.013..0.149 rows=101 loops=1)

449. 0.114 0.114 ↑ 1.0 75 1

Index Scan using datas_part_0000009289_ideventtype_idx on datas_part_0000009289 (cost=0.14..64.72 rows=75 width=675) (actual time=0.021..0.114 rows=75 loops=1)

450. 0.081 0.081 ↑ 1.0 75 1

Seq Scan on datas_part_0000009291 (cost=0.00..14.75 rows=75 width=673) (actual time=0.014..0.081 rows=75 loops=1)

451. 0.143 0.143 ↑ 1.0 113 1

Seq Scan on datas_part_0000009292 (cost=0.00..28.13 rows=113 width=683) (actual time=0.028..0.143 rows=113 loops=1)

452. 0.110 0.110 ↑ 1.0 76 1

Seq Scan on datas_part_0000009293 (cost=0.00..27.76 rows=76 width=676) (actual time=0.021..0.110 rows=76 loops=1)

453. 0.104 0.104 ↑ 1.0 75 1

Seq Scan on datas_part_0000009294 (cost=0.00..28.75 rows=75 width=671) (actual time=0.013..0.104 rows=75 loops=1)

454. 0.104 0.104 ↑ 1.0 77 1

Seq Scan on datas_part_0000009295 (cost=0.00..25.77 rows=77 width=676) (actual time=0.016..0.104 rows=77 loops=1)

455. 0.169 0.169 ↓ 1.5 116 1

Seq Scan on datas_part_0000009296 (cost=0.00..33.76 rows=76 width=675) (actual time=0.018..0.169 rows=116 loops=1)

456. 0.092 0.092 ↑ 1.0 77 1

Seq Scan on datas_part_0000009297 (cost=0.00..23.77 rows=77 width=675) (actual time=0.012..0.092 rows=77 loops=1)

457. 0.092 0.092 ↑ 1.0 77 1

Seq Scan on datas_part_0000009298 (cost=0.00..20.77 rows=77 width=677) (actual time=0.013..0.092 rows=77 loops=1)

458. 0.132 0.132 ↓ 1.1 111 1

Seq Scan on datas_part_0000009299 (cost=0.00..34.04 rows=104 width=678) (actual time=0.013..0.132 rows=111 loops=1)

459. 0.088 0.088 ↑ 1.0 75 1

Seq Scan on datas_part_0000009300 (cost=0.00..23.75 rows=75 width=674) (actual time=0.012..0.088 rows=75 loops=1)

460. 0.160 0.160 ↓ 1.0 108 1

Seq Scan on datas_part_0000009301 (cost=0.00..29.06 rows=106 width=682) (actual time=0.010..0.160 rows=108 loops=1)

461. 0.093 0.093 ↑ 1.0 61 1

Seq Scan on datas_part_0000009302 (cost=0.00..26.61 rows=61 width=673) (actual time=0.012..0.093 rows=61 loops=1)

462. 0.110 0.110 ↑ 1.0 117 1

Seq Scan on datas_part_0000009303 (cost=0.00..25.17 rows=117 width=684) (actual time=0.011..0.110 rows=117 loops=1)

463. 0.086 0.086 ↑ 1.0 77 1

Seq Scan on datas_part_0000009304 (cost=0.00..15.77 rows=77 width=676) (actual time=0.015..0.086 rows=77 loops=1)

464. 0.075 0.075 ↑ 1.0 77 1

Seq Scan on datas_part_0000009305 (cost=0.00..18.77 rows=77 width=675) (actual time=0.013..0.075 rows=77 loops=1)

465. 0.119 0.119 ↓ 1.3 118 1

Seq Scan on datas_part_0000009306 (cost=0.00..23.93 rows=93 width=676) (actual time=0.011..0.119 rows=118 loops=1)

466. 0.117 0.117 ↑ 1.0 77 1

Seq Scan on datas_part_0000009307 (cost=0.00..50.77 rows=77 width=676) (actual time=0.013..0.117 rows=77 loops=1)

467. 0.121 0.121 ↑ 1.0 77 1

Seq Scan on datas_part_0000009309 (cost=0.00..18.77 rows=77 width=674) (actual time=0.015..0.121 rows=77 loops=1)

468. 0.096 0.096 ↑ 1.0 77 1

Seq Scan on datas_part_0000009310 (cost=0.00..25.77 rows=77 width=676) (actual time=0.017..0.096 rows=77 loops=1)

469. 0.081 0.081 ↑ 1.0 77 1

Seq Scan on datas_part_0000009311 (cost=0.00..18.77 rows=77 width=677) (actual time=0.017..0.081 rows=77 loops=1)

470. 0.119 0.119 ↑ 1.0 77 1

Seq Scan on datas_part_0000009312 (cost=0.00..46.77 rows=77 width=677) (actual time=0.011..0.119 rows=77 loops=1)

471. 0.086 0.086 ↑ 1.0 77 1

Seq Scan on datas_part_0000009313 (cost=0.00..24.77 rows=77 width=673) (actual time=0.011..0.086 rows=77 loops=1)

472. 0.098 0.098 ↑ 1.0 77 1

Seq Scan on datas_part_0000009314 (cost=0.00..26.77 rows=77 width=676) (actual time=0.012..0.098 rows=77 loops=1)

473. 0.118 0.118 ↑ 1.0 77 1

Seq Scan on datas_part_0000009315 (cost=0.00..44.77 rows=77 width=677) (actual time=0.012..0.118 rows=77 loops=1)

474. 0.070 0.070 ↑ 1.0 77 1

Seq Scan on datas_part_0000009316 (cost=0.00..15.77 rows=77 width=676) (actual time=0.011..0.070 rows=77 loops=1)

475. 0.081 0.081 ↑ 1.0 75 1

Seq Scan on datas_part_0000009317 (cost=0.00..16.75 rows=75 width=674) (actual time=0.019..0.081 rows=75 loops=1)

476. 0.097 0.097 ↑ 1.0 79 1

Seq Scan on datas_part_0000009318 (cost=0.00..21.79 rows=79 width=677) (actual time=0.012..0.097 rows=79 loops=1)

477. 0.074 0.074 ↑ 1.0 77 1

Seq Scan on datas_part_0000009319 (cost=0.00..16.77 rows=77 width=676) (actual time=0.017..0.074 rows=77 loops=1)

478. 0.072 0.072 ↑ 1.0 77 1

Seq Scan on datas_part_0000009320 (cost=0.00..14.77 rows=77 width=677) (actual time=0.012..0.072 rows=77 loops=1)

479. 0.110 0.110 ↓ 1.2 117 1

Seq Scan on datas_part_0000009321 (cost=0.00..17.99 rows=99 width=681) (actual time=0.016..0.110 rows=117 loops=1)

480. 0.075 0.075 ↑ 1.0 77 1

Seq Scan on datas_part_0000009322 (cost=0.00..13.77 rows=77 width=675) (actual time=0.013..0.075 rows=77 loops=1)

481. 0.103 0.103 ↑ 1.0 77 1

Seq Scan on datas_part_0000009323 (cost=0.00..29.77 rows=77 width=676) (actual time=0.013..0.103 rows=77 loops=1)

482. 0.106 0.106 ↓ 1.2 115 1

Seq Scan on datas_part_0000009324 (cost=0.00..19.95 rows=95 width=676) (actual time=0.011..0.106 rows=115 loops=1)

483. 0.083 0.083 ↑ 1.0 77 1

Seq Scan on datas_part_0000009325 (cost=0.00..20.77 rows=77 width=677) (actual time=0.013..0.083 rows=77 loops=1)

484. 0.081 0.081 ↑ 1.0 77 1

Seq Scan on datas_part_0000009326 (cost=0.00..18.77 rows=77 width=676) (actual time=0.015..0.081 rows=77 loops=1)

485. 0.134 0.134 ↓ 1.2 115 1

Seq Scan on datas_part_0000009327 (cost=0.00..21.93 rows=93 width=676) (actual time=0.012..0.134 rows=115 loops=1)

486. 0.140 0.140 ↑ 1.0 75 1

Seq Scan on datas_part_0000009328 (cost=0.00..20.75 rows=75 width=676) (actual time=0.051..0.140 rows=75 loops=1)

487. 0.080 0.080 ↑ 1.0 75 1

Seq Scan on datas_part_0000009329 (cost=0.00..13.75 rows=75 width=674) (actual time=0.015..0.080 rows=75 loops=1)

488. 0.103 0.103 ↑ 1.0 77 1

Seq Scan on datas_part_0000009330 (cost=0.00..25.77 rows=77 width=677) (actual time=0.018..0.103 rows=77 loops=1)

489. 0.100 0.100 ↑ 1.0 77 1

Seq Scan on datas_part_0000009331 (cost=0.00..23.77 rows=77 width=677) (actual time=0.029..0.100 rows=77 loops=1)

490. 0.099 0.099 ↑ 1.0 77 1

Seq Scan on datas_part_0000009332 (cost=0.00..13.77 rows=77 width=677) (actual time=0.032..0.099 rows=77 loops=1)

491. 0.093 0.093 ↑ 1.0 75 1

Seq Scan on datas_part_0000009333 (cost=0.00..20.75 rows=75 width=674) (actual time=0.025..0.093 rows=75 loops=1)

492. 0.070 0.070 ↑ 1.0 75 1

Seq Scan on datas_part_0000009334 (cost=0.00..12.75 rows=75 width=674) (actual time=0.013..0.070 rows=75 loops=1)

493. 0.095 0.095 ↑ 1.0 75 1

Seq Scan on datas_part_0000009335 (cost=0.00..24.75 rows=75 width=676) (actual time=0.012..0.095 rows=75 loops=1)

494. 0.121 0.121 ↑ 1.0 79 1

Seq Scan on datas_part_0000009336 (cost=0.00..27.79 rows=79 width=677) (actual time=0.025..0.121 rows=79 loops=1)

495. 0.088 0.088 ↑ 1.0 70 1

Seq Scan on datas_part_0000009337 (cost=0.00..12.70 rows=70 width=673) (actual time=0.027..0.088 rows=70 loops=1)

496. 0.170 0.170 ↑ 1.0 75 1

Seq Scan on datas_part_0000009338 (cost=0.00..18.75 rows=75 width=676) (actual time=0.026..0.170 rows=75 loops=1)

497. 0.116 0.116 ↑ 1.0 77 1

Seq Scan on datas_part_0000009339 (cost=0.00..15.77 rows=77 width=677) (actual time=0.029..0.116 rows=77 loops=1)

498. 0.131 0.131 ↑ 1.0 77 1

Seq Scan on datas_part_0000009340 (cost=0.00..27.77 rows=77 width=677) (actual time=0.034..0.131 rows=77 loops=1)

499. 0.402 0.402 ↑ 1.0 75 1

Seq Scan on datas_part_0000009341 (cost=0.00..18.75 rows=75 width=673) (actual time=0.275..0.402 rows=75 loops=1)

500. 0.127 0.127 ↑ 1.0 70 1

Index Scan using datas_part_0000009342_ideventtype_idx on datas_part_0000009342 (cost=0.14..60.12 rows=70 width=671) (actual time=0.027..0.127 rows=70 loops=1)

501. 0.076 0.076 ↑ 1.0 75 1

Seq Scan on datas_part_0000009343 (cost=0.00..13.75 rows=75 width=674) (actual time=0.020..0.076 rows=75 loops=1)

502. 0.088 0.088 ↑ 1.0 75 1

Seq Scan on datas_part_0000009344 (cost=0.00..23.75 rows=75 width=674) (actual time=0.012..0.088 rows=75 loops=1)

503. 0.493 0.493 ↑ 1.0 77 1

Seq Scan on datas_part_0000009345 (cost=0.00..39.77 rows=77 width=679) (actual time=0.012..0.493 rows=77 loops=1)

504. 0.088 0.088 ↑ 1.0 77 1

Seq Scan on datas_part_0000009346 (cost=0.00..18.77 rows=77 width=675) (actual time=0.015..0.088 rows=77 loops=1)

505. 0.123 0.123 ↑ 1.0 77 1

Seq Scan on datas_part_0000009347 (cost=0.00..51.77 rows=77 width=677) (actual time=0.010..0.123 rows=77 loops=1)

506. 0.110 0.110 ↑ 1.0 77 1

Seq Scan on datas_part_0000009348 (cost=0.00..23.77 rows=77 width=677) (actual time=0.015..0.110 rows=77 loops=1)

507. 0.090 0.090 ↑ 1.0 75 1

Seq Scan on datas_part_0000009349 (cost=0.00..28.75 rows=75 width=674) (actual time=0.011..0.090 rows=75 loops=1)

508. 0.086 0.086 ↑ 1.0 75 1

Seq Scan on datas_part_0000009350 (cost=0.00..20.75 rows=75 width=674) (actual time=0.011..0.086 rows=75 loops=1)

509. 0.092 0.092 ↑ 1.0 77 1

Seq Scan on datas_part_0000009351 (cost=0.00..19.77 rows=77 width=676) (actual time=0.016..0.092 rows=77 loops=1)

510. 0.117 0.117 ↑ 1.0 77 1

Index Scan using datas_part_0000009352_ideventtype_idx on datas_part_0000009352 (cost=0.14..56.56 rows=77 width=676) (actual time=0.033..0.117 rows=77 loops=1)

511. 0.090 0.090 ↑ 1.0 76 1

Seq Scan on datas_part_0000009353 (cost=0.00..12.76 rows=76 width=684) (actual time=0.015..0.090 rows=76 loops=1)

512. 0.066 0.066 ↑ 1.0 73 1

Seq Scan on datas_part_0000009354 (cost=0.00..9.73 rows=73 width=672) (actual time=0.011..0.066 rows=73 loops=1)

513. 0.109 0.109 ↑ 1.0 76 1

Seq Scan on datas_part_0000009355 (cost=0.00..24.76 rows=76 width=684) (actual time=0.017..0.109 rows=76 loops=1)

514. 0.091 0.091 ↑ 1.0 75 1

Seq Scan on datas_part_0000009356 (cost=0.00..17.75 rows=75 width=676) (actual time=0.018..0.091 rows=75 loops=1)

515. 0.110 0.110 ↑ 1.0 77 1

Seq Scan on datas_part_0000009357 (cost=0.00..33.77 rows=77 width=677) (actual time=0.012..0.110 rows=77 loops=1)

516. 0.147 0.147 ↓ 1.5 115 1

Seq Scan on datas_part_0000009358 (cost=0.00..39.75 rows=75 width=673) (actual time=0.013..0.147 rows=115 loops=1)

517. 0.128 0.128 ↓ 1.3 118 1

Seq Scan on datas_part_0000009359 (cost=0.00..22.94 rows=94 width=676) (actual time=0.021..0.128 rows=118 loops=1)

518. 0.111 0.111 ↑ 1.0 77 1

Seq Scan on datas_part_0000009360 (cost=0.00..25.77 rows=77 width=676) (actual time=0.013..0.111 rows=77 loops=1)

519. 0.093 0.093 ↓ 1.0 77 1

Seq Scan on datas_part_0000009361 (cost=0.00..19.76 rows=76 width=678) (actual time=0.017..0.093 rows=77 loops=1)

520. 0.131 0.131 ↑ 1.0 79 1

Seq Scan on datas_part_0000009362 (cost=0.00..42.79 rows=79 width=679) (actual time=0.013..0.131 rows=79 loops=1)

521. 0.077 0.077 ↑ 1.0 77 1

Seq Scan on datas_part_0000009363 (cost=0.00..13.77 rows=77 width=679) (actual time=0.017..0.077 rows=77 loops=1)

522. 0.131 0.131 ↓ 1.2 115 1

Seq Scan on datas_part_0000009364 (cost=0.00..21.96 rows=96 width=674) (actual time=0.012..0.131 rows=115 loops=1)

523. 0.090 0.090 ↑ 1.0 77 1

Seq Scan on datas_part_0000009365 (cost=0.00..22.77 rows=77 width=677) (actual time=0.014..0.090 rows=77 loops=1)

524. 0.076 0.076 ↑ 1.0 77 1

Seq Scan on datas_part_0000009366 (cost=0.00..13.77 rows=77 width=677) (actual time=0.014..0.076 rows=77 loops=1)

525. 0.071 0.071 ↑ 1.0 75 1

Seq Scan on datas_part_0000009367 (cost=0.00..12.75 rows=75 width=675) (actual time=0.012..0.071 rows=75 loops=1)

526. 0.082 0.082 ↑ 1.0 75 1

Seq Scan on datas_part_0000009368 (cost=0.00..17.75 rows=75 width=674) (actual time=0.012..0.082 rows=75 loops=1)

527. 0.132 0.132 ↑ 1.0 77 1

Seq Scan on datas_part_0000009369 (cost=0.00..46.77 rows=77 width=679) (actual time=0.013..0.132 rows=77 loops=1)

528. 0.101 0.101 ↑ 1.0 77 1

Seq Scan on datas_part_0000009370 (cost=0.00..26.77 rows=77 width=676) (actual time=0.014..0.101 rows=77 loops=1)

529. 0.077 0.077 ↑ 1.0 75 1

Seq Scan on datas_part_0000009371 (cost=0.00..16.75 rows=75 width=677) (actual time=0.016..0.077 rows=75 loops=1)

530. 0.133 0.133 ↑ 1.0 77 1

Seq Scan on datas_part_0000009372 (cost=0.00..49.77 rows=77 width=679) (actual time=0.012..0.133 rows=77 loops=1)

531. 0.161 0.161 ↑ 1.0 77 1

Index Scan using datas_part_0000009373_ideventtype_idx on datas_part_0000009373 (cost=0.14..56.43 rows=77 width=679) (actual time=0.036..0.161 rows=77 loops=1)

532. 0.097 0.097 ↑ 1.0 75 1

Seq Scan on datas_part_0000009374 (cost=0.00..23.75 rows=75 width=673) (actual time=0.015..0.097 rows=75 loops=1)

533. 0.077 0.077 ↓ 1.0 77 1

Seq Scan on datas_part_0000009375 (cost=0.00..17.76 rows=76 width=675) (actual time=0.013..0.077 rows=77 loops=1)

534. 0.108 0.108 ↑ 1.0 77 1

Seq Scan on datas_part_0000009376 (cost=0.00..32.77 rows=77 width=676) (actual time=0.012..0.108 rows=77 loops=1)

535. 0.103 0.103 ↑ 1.0 77 1

Seq Scan on datas_part_0000009377 (cost=0.00..30.77 rows=77 width=679) (actual time=0.011..0.103 rows=77 loops=1)

536. 0.038 0.038 ↑ 1.0 33 1

Seq Scan on datas_part_0000009378 (cost=0.00..5.33 rows=33 width=656) (actual time=0.010..0.038 rows=33 loops=1)

537. 0.084 0.084 ↑ 1.0 77 1

Seq Scan on datas_part_0000009379 (cost=0.00..15.77 rows=77 width=679) (actual time=0.011..0.084 rows=77 loops=1)

538. 0.099 0.099 ↑ 1.0 77 1

Seq Scan on datas_part_0000009380 (cost=0.00..25.77 rows=77 width=678) (actual time=0.016..0.099 rows=77 loops=1)

539. 0.064 0.064 ↑ 1.0 71 1

Seq Scan on datas_part_0000009381 (cost=0.00..12.71 rows=71 width=674) (actual time=0.011..0.064 rows=71 loops=1)

540. 0.077 0.077 ↑ 1.0 77 1

Seq Scan on datas_part_0000009382 (cost=0.00..14.77 rows=77 width=675) (actual time=0.012..0.077 rows=77 loops=1)

541. 0.087 0.087 ↑ 1.0 75 1

Seq Scan on datas_part_0000009383 (cost=0.00..20.75 rows=75 width=675) (actual time=0.012..0.087 rows=75 loops=1)

542. 0.070 0.070 ↑ 1.0 77 1

Seq Scan on datas_part_0000009384 (cost=0.00..12.77 rows=77 width=679) (actual time=0.011..0.070 rows=77 loops=1)

543. 0.100 0.100 ↑ 1.0 77 1

Seq Scan on datas_part_0000009385 (cost=0.00..25.77 rows=77 width=677) (actual time=0.017..0.100 rows=77 loops=1)

544. 0.083 0.083 ↑ 1.0 77 1

Seq Scan on datas_part_0000009386 (cost=0.00..16.77 rows=77 width=679) (actual time=0.012..0.083 rows=77 loops=1)

545. 0.111 0.111 ↑ 1.0 77 1

Seq Scan on datas_part_0000009388 (cost=0.00..29.77 rows=77 width=679) (actual time=0.015..0.111 rows=77 loops=1)

546. 0.125 0.125 ↓ 1.2 120 1

Seq Scan on datas_part_0000009395 (cost=0.00..22.97 rows=97 width=676) (actual time=0.013..0.125 rows=120 loops=1)

547. 0.065 0.065 ↑ 1.0 73 1

Seq Scan on datas_part_0000009397 (cost=0.00..10.73 rows=73 width=677) (actual time=0.012..0.065 rows=73 loops=1)

548. 0.137 0.137 ↑ 1.0 118 1

Seq Scan on datas_part_0000009398 (cost=0.00..35.18 rows=118 width=684) (actual time=0.015..0.137 rows=118 loops=1)

549. 0.124 0.124 ↑ 1.0 118 1

Seq Scan on datas_part_0000009399 (cost=0.00..26.18 rows=118 width=683) (actual time=0.018..0.124 rows=118 loops=1)

550. 0.104 0.104 ↑ 1.0 75 1

Seq Scan on datas_part_0000009400 (cost=0.00..39.75 rows=75 width=675) (actual time=0.017..0.104 rows=75 loops=1)

551. 0.070 0.070 ↑ 1.0 56 1

Seq Scan on datas_part_0000009401 (cost=0.00..17.56 rows=56 width=672) (actual time=0.012..0.070 rows=56 loops=1)

552. 0.124 0.124 ↓ 1.3 115 1

Seq Scan on datas_part_0000009402 (cost=0.00..24.90 rows=90 width=677) (actual time=0.016..0.124 rows=115 loops=1)

553. 0.109 0.109 ↓ 1.1 109 1

Seq Scan on datas_part_0000009403 (cost=0.00..18.96 rows=96 width=676) (actual time=0.017..0.109 rows=109 loops=1)

554. 0.136 0.136 ↑ 1.0 75 1

Seq Scan on datas_part_0000009404 (cost=0.00..16.75 rows=75 width=677) (actual time=0.012..0.136 rows=75 loops=1)

555. 0.113 0.113 ↓ 1.2 115 1

Seq Scan on datas_part_0000009405 (cost=0.00..19.95 rows=95 width=677) (actual time=0.012..0.113 rows=115 loops=1)

556. 0.093 0.093 ↑ 1.0 75 1

Seq Scan on datas_part_0000009406 (cost=0.00..14.75 rows=75 width=677) (actual time=0.020..0.093 rows=75 loops=1)

557. 0.082 0.082 ↑ 1.0 73 1

Seq Scan on datas_part_0000009408 (cost=0.00..14.73 rows=73 width=677) (actual time=0.018..0.082 rows=73 loops=1)

558. 0.152 0.152 ↑ 1.0 120 1

Seq Scan on datas_part_0000009409 (cost=0.00..45.20 rows=120 width=683) (actual time=0.012..0.152 rows=120 loops=1)

559. 0.074 0.074 ↑ 1.0 72 1

Seq Scan on datas_part_0000009410 (cost=0.00..12.72 rows=72 width=676) (actual time=0.018..0.074 rows=72 loops=1)

560. 0.067 0.067 ↑ 1.0 67 1

Seq Scan on datas_part_0000009411 (cost=0.00..12.67 rows=67 width=674) (actual time=0.012..0.067 rows=67 loops=1)

561. 0.113 0.113 ↑ 1.0 76 1

Seq Scan on datas_part_0000009412 (cost=0.00..13.76 rows=76 width=682) (actual time=0.012..0.113 rows=76 loops=1)

562. 0.229 0.229 ↑ 1.0 76 1

Seq Scan on datas_part_0000009421 (cost=0.00..46.76 rows=76 width=684) (actual time=0.015..0.229 rows=76 loops=1)

563. 0.110 0.110 ↑ 1.0 77 1

Seq Scan on datas_part_0000009422 (cost=0.00..25.77 rows=77 width=677) (actual time=0.019..0.110 rows=77 loops=1)

564. 0.116 0.116 ↓ 1.1 117 1

Seq Scan on datas_part_0000009423 (cost=0.00..14.10 rows=110 width=676) (actual time=0.014..0.116 rows=117 loops=1)

565. 0.153 0.153 ↑ 1.0 118 1

Seq Scan on datas_part_0000009424 (cost=0.00..30.18 rows=118 width=682) (actual time=0.020..0.153 rows=118 loops=1)

566. 0.120 0.120 ↑ 1.0 117 1

Seq Scan on datas_part_0000009426 (cost=0.00..23.17 rows=117 width=684) (actual time=0.014..0.120 rows=117 loops=1)

567. 0.084 0.084 ↑ 1.0 77 1

Seq Scan on datas_part_0000009427 (cost=0.00..22.77 rows=77 width=675) (actual time=0.013..0.084 rows=77 loops=1)

568. 0.130 0.130 ↓ 1.4 118 1

Seq Scan on datas_part_0000009428 (cost=0.00..34.87 rows=87 width=684) (actual time=0.012..0.130 rows=118 loops=1)

569. 1.278 1.278 ↑ 1.0 77 1

Seq Scan on datas_part_0000009429 (cost=0.00..15.77 rows=77 width=676) (actual time=0.021..1.278 rows=77 loops=1)

570. 0.084 0.084 ↑ 1.0 77 1

Seq Scan on datas_part_0000009431 (cost=0.00..16.77 rows=77 width=679) (actual time=0.018..0.084 rows=77 loops=1)

571. 0.152 0.152 ↑ 1.0 115 1

Seq Scan on datas_part_0000009437 (cost=0.00..39.15 rows=115 width=681) (actual time=0.012..0.152 rows=115 loops=1)

572. 0.080 0.080 ↑ 1.0 75 1

Seq Scan on datas_part_0000009438 (cost=0.00..15.75 rows=75 width=675) (actual time=0.020..0.080 rows=75 loops=1)

573. 0.131 0.131 ↓ 1.2 120 1

Seq Scan on datas_part_0000009439 (cost=0.00..21.98 rows=98 width=676) (actual time=0.011..0.131 rows=120 loops=1)

574. 0.103 0.103 ↑ 1.0 77 1

Seq Scan on datas_part_0000009440 (cost=0.00..30.77 rows=77 width=679) (actual time=0.017..0.103 rows=77 loops=1)

575. 0.106 0.106 ↓ 1.1 117 1

Seq Scan on datas_part_0000009441 (cost=0.00..17.11 rows=111 width=681) (actual time=0.013..0.106 rows=117 loops=1)

576. 0.126 0.126 ↓ 1.4 129 1

Seq Scan on datas_part_0000009442 (cost=0.00..33.94 rows=94 width=687) (actual time=0.012..0.126 rows=129 loops=1)

577. 2.131 2.131 ↓ 1.3 118 1

Seq Scan on datas_part_0000009443 (cost=0.00..26.91 rows=91 width=682) (actual time=0.013..2.131 rows=118 loops=1)

578. 0.079 0.079 ↑ 1.0 61 1

Seq Scan on datas_part_0000009444 (cost=0.00..11.61 rows=61 width=678) (actual time=0.023..0.079 rows=61 loops=1)

579. 0.122 0.122 ↑ 1.0 77 1

Seq Scan on datas_part_0000009448 (cost=0.00..12.77 rows=77 width=675) (actual time=0.017..0.122 rows=77 loops=1)

580. 0.083 0.083 ↑ 1.0 75 1

Seq Scan on datas_part_0000009449 (cost=0.00..19.75 rows=75 width=676) (actual time=0.012..0.083 rows=75 loops=1)

581. 0.107 0.107 ↓ 1.2 115 1

Seq Scan on datas_part_0000009450 (cost=0.00..15.97 rows=97 width=686) (actual time=0.017..0.107 rows=115 loops=1)

582. 0.090 0.090 ↑ 1.0 77 1

Seq Scan on datas_part_0000009451 (cost=0.00..16.77 rows=77 width=677) (actual time=0.013..0.090 rows=77 loops=1)

583. 0.087 0.087 ↑ 1.0 59 1

Seq Scan on datas_part_0000009452 (cost=0.00..12.59 rows=59 width=671) (actual time=0.016..0.087 rows=59 loops=1)

584. 0.094 0.094 ↑ 1.0 75 1

Seq Scan on datas_part_0000009453 (cost=0.00..24.75 rows=75 width=676) (actual time=0.012..0.094 rows=75 loops=1)

585. 0.093 0.093 ↑ 1.0 75 1

Seq Scan on datas_part_0000009454 (cost=0.00..27.75 rows=75 width=679) (actual time=0.018..0.093 rows=75 loops=1)

586. 0.116 0.116 ↓ 1.2 117 1

Seq Scan on datas_part_0000009455 (cost=0.00..18.99 rows=99 width=682) (actual time=0.017..0.116 rows=117 loops=1)

587. 0.091 0.091 ↑ 1.0 77 1

Seq Scan on datas_part_0000009456 (cost=0.00..13.77 rows=77 width=676) (actual time=0.023..0.091 rows=77 loops=1)

588. 0.087 0.087 ↑ 1.0 77 1

Seq Scan on datas_part_0000009457 (cost=0.00..15.77 rows=77 width=679) (actual time=0.021..0.087 rows=77 loops=1)

589. 0.088 0.088 ↑ 1.0 73 1

Seq Scan on datas_part_0000009458 (cost=0.00..17.73 rows=73 width=674) (actual time=0.013..0.088 rows=73 loops=1)

590. 0.161 0.161 ↑ 1.0 118 1

Seq Scan on datas_part_0000009459 (cost=0.00..28.18 rows=118 width=683) (actual time=0.052..0.161 rows=118 loops=1)

591. 0.061 0.061 ↑ 1.0 67 1

Seq Scan on datas_part_0000009460 (cost=0.00..9.67 rows=67 width=677) (actual time=0.013..0.061 rows=67 loops=1)

592. 0.120 0.120 ↓ 1.3 118 1

Seq Scan on datas_part_0000009461 (cost=0.00..26.91 rows=91 width=682) (actual time=0.013..0.120 rows=118 loops=1)

593. 0.345 0.345 ↑ 1.0 77 1

Seq Scan on datas_part_0000009462 (cost=0.00..29.77 rows=77 width=676) (actual time=0.253..0.345 rows=77 loops=1)

594. 0.119 0.119 ↓ 1.1 117 1

Seq Scan on datas_part_0000009463 (cost=0.00..17.11 rows=111 width=684) (actual time=0.014..0.119 rows=117 loops=1)

595. 0.109 0.109 ↑ 1.0 77 1

Seq Scan on datas_part_0000009464 (cost=0.00..17.77 rows=77 width=679) (actual time=0.019..0.109 rows=77 loops=1)

596. 0.086 0.086 ↑ 1.0 77 1

Seq Scan on datas_part_0000009465 (cost=0.00..18.77 rows=77 width=676) (actual time=0.021..0.086 rows=77 loops=1)

597. 0.145 0.145 ↑ 1.0 157 1

Seq Scan on datas_part_0000009466 (cost=0.00..25.57 rows=157 width=673) (actual time=0.012..0.145 rows=157 loops=1)

598. 0.087 0.087 ↑ 1.0 77 1

Seq Scan on datas_part_0000009467 (cost=0.00..20.77 rows=77 width=676) (actual time=0.019..0.087 rows=77 loops=1)

599. 0.111 0.111 ↑ 1.0 118 1

Seq Scan on datas_part_0000009468 (cost=0.00..31.18 rows=118 width=685) (actual time=0.013..0.111 rows=118 loops=1)

600. 0.067 0.067 ↑ 1.0 70 1

Seq Scan on datas_part_0000009469 (cost=0.00..16.70 rows=70 width=674) (actual time=0.011..0.067 rows=70 loops=1)

601. 0.106 0.106 ↑ 1.0 77 1

Seq Scan on datas_part_0000009470 (cost=0.00..46.77 rows=77 width=677) (actual time=0.010..0.106 rows=77 loops=1)

602. 0.078 0.078 ↑ 1.0 77 1

Seq Scan on datas_part_0000009472 (cost=0.00..28.77 rows=77 width=677) (actual time=0.010..0.078 rows=77 loops=1)

603. 0.088 0.088 ↑ 1.0 77 1

Seq Scan on datas_part_0000009473 (cost=0.00..33.77 rows=77 width=675) (actual time=0.010..0.088 rows=77 loops=1)

604. 0.077 0.077 ↑ 1.0 77 1

Seq Scan on datas_part_0000009474 (cost=0.00..23.77 rows=77 width=679) (actual time=0.010..0.077 rows=77 loops=1)

605. 0.069 0.069 ↑ 1.0 77 1

Seq Scan on datas_part_0000009475 (cost=0.00..19.77 rows=77 width=677) (actual time=0.010..0.069 rows=77 loops=1)

606. 0.074 0.074 ↑ 1.0 77 1

Seq Scan on datas_part_0000009476 (cost=0.00..13.77 rows=77 width=675) (actual time=0.016..0.074 rows=77 loops=1)

607. 0.086 0.086 ↑ 1.0 77 1

Seq Scan on datas_part_0000009477 (cost=0.00..21.77 rows=77 width=679) (actual time=0.012..0.086 rows=77 loops=1)

608. 0.120 0.120 ↓ 1.3 118 1

Seq Scan on datas_part_0000009479 (cost=0.00..30.92 rows=92 width=686) (actual time=0.012..0.120 rows=118 loops=1)

609. 0.090 0.090 ↑ 1.0 77 1

Seq Scan on datas_part_0000009480 (cost=0.00..21.77 rows=77 width=676) (actual time=0.014..0.090 rows=77 loops=1)

610. 0.153 0.153 ↓ 1.3 119 1

Seq Scan on datas_part_0000009481 (cost=0.00..22.94 rows=94 width=683) (actual time=0.018..0.153 rows=119 loops=1)

611. 0.079 0.079 ↑ 1.0 79 1

Seq Scan on datas_part_0000009482 (cost=0.00..12.79 rows=79 width=676) (actual time=0.014..0.079 rows=79 loops=1)

612. 0.084 0.084 ↑ 1.0 73 1

Seq Scan on datas_part_0000009483 (cost=0.00..18.73 rows=73 width=674) (actual time=0.014..0.084 rows=73 loops=1)

613. 0.123 0.123 ↑ 1.0 119 1

Seq Scan on datas_part_0000009484 (cost=0.00..23.19 rows=119 width=684) (actual time=0.012..0.123 rows=119 loops=1)

614. 0.106 0.106 ↑ 1.0 114 1

Seq Scan on datas_part_0000009485 (cost=0.00..19.14 rows=114 width=684) (actual time=0.013..0.106 rows=114 loops=1)

615. 0.089 0.089 ↑ 1.0 75 1

Seq Scan on datas_part_0000009486 (cost=0.00..13.75 rows=75 width=678) (actual time=0.023..0.089 rows=75 loops=1)

616. 0.076 0.076 ↑ 1.0 76 1

Seq Scan on datas_part_0000009487 (cost=0.00..14.76 rows=76 width=677) (actual time=0.012..0.076 rows=76 loops=1)

617. 0.088 0.088 ↑ 1.0 77 1

Seq Scan on datas_part_0000009488 (cost=0.00..17.77 rows=77 width=679) (actual time=0.013..0.088 rows=77 loops=1)

618. 0.096 0.096 ↑ 1.0 76 1

Seq Scan on datas_part_0000009489 (cost=0.00..27.76 rows=76 width=679) (actual time=0.013..0.096 rows=76 loops=1)

619. 0.087 0.087 ↑ 1.0 77 1

Seq Scan on datas_part_0000009490 (cost=0.00..18.77 rows=77 width=675) (actual time=0.011..0.087 rows=77 loops=1)

620. 0.102 0.102 ↓ 1.1 118 1

Seq Scan on datas_part_0000009491 (cost=0.00..15.08 rows=108 width=676) (actual time=0.012..0.102 rows=118 loops=1)

621. 0.494 0.494 ↑ 1.0 77 1

Seq Scan on datas_part_0000009492 (cost=0.00..12.77 rows=77 width=679) (actual time=0.014..0.494 rows=77 loops=1)

622. 0.060 0.060 ↑ 1.0 55 1

Seq Scan on datas_part_0000009493 (cost=0.00..9.55 rows=55 width=673) (actual time=0.014..0.060 rows=55 loops=1)

623. 0.120 0.120 ↑ 1.0 119 1

Seq Scan on datas_part_0000009494 (cost=0.00..32.19 rows=119 width=683) (actual time=0.011..0.120 rows=119 loops=1)

624. 0.093 0.093 ↑ 1.0 77 1

Seq Scan on datas_part_0000009495 (cost=0.00..20.77 rows=77 width=679) (actual time=0.013..0.093 rows=77 loops=1)

625. 0.118 0.118 ↓ 1.1 118 1

Seq Scan on datas_part_0000009496 (cost=0.00..29.08 rows=108 width=684) (actual time=0.016..0.118 rows=118 loops=1)

626. 0.127 0.127 ↑ 1.0 119 1

Seq Scan on datas_part_0000009497 (cost=0.00..35.19 rows=119 width=683) (actual time=0.016..0.127 rows=119 loops=1)

627. 0.087 0.087 ↑ 1.0 77 1

Seq Scan on datas_part_0000009498 (cost=0.00..23.77 rows=77 width=677) (actual time=0.012..0.087 rows=77 loops=1)

628. 0.080 0.080 ↑ 1.0 77 1

Seq Scan on datas_part_0000009499 (cost=0.00..23.77 rows=77 width=677) (actual time=0.010..0.080 rows=77 loops=1)

629. 0.120 0.120 ↑ 1.0 119 1

Seq Scan on datas_part_0000009500 (cost=0.00..29.19 rows=119 width=683) (actual time=0.012..0.120 rows=119 loops=1)

630. 0.143 0.143 ↑ 1.0 121 1

Seq Scan on datas_part_0000009501 (cost=0.00..38.21 rows=121 width=682) (actual time=0.013..0.143 rows=121 loops=1)

631. 0.184 0.184 ↓ 1.3 117 1

Seq Scan on datas_part_0000009502 (cost=0.00..33.90 rows=90 width=686) (actual time=0.013..0.184 rows=117 loops=1)

632. 0.123 0.123 ↑ 1.0 117 1

Seq Scan on datas_part_0000009503 (cost=0.00..40.17 rows=117 width=684) (actual time=0.011..0.123 rows=117 loops=1)

633. 0.097 0.097 ↓ 1.2 121 1

Seq Scan on datas_part_0000009504 (cost=0.00..22.97 rows=97 width=683) (actual time=0.006..0.097 rows=121 loops=1)

634. 0.125 0.125 ↑ 1.0 74 1

Seq Scan on datas_part_0000009505 (cost=0.00..45.74 rows=74 width=684) (actual time=0.006..0.125 rows=74 loops=1)

635. 0.115 0.115 ↓ 1.4 118 1

Seq Scan on datas_part_0000009506 (cost=0.00..35.87 rows=87 width=683) (actual time=0.007..0.115 rows=118 loops=1)

636. 25.030 25.030 ↑ 1.0 163 1

Seq Scan on datas_part_0000009507 (cost=0.00..34.63 rows=163 width=674) (actual time=0.007..25.030 rows=163 loops=1)

637. 0.115 0.115 ↑ 1.0 75 1

Seq Scan on datas_part_0000009508 (cost=0.00..42.75 rows=75 width=674) (actual time=0.009..0.115 rows=75 loops=1)

638. 0.336 0.336 ↑ 1.0 121 1

Seq Scan on datas_part_0000009510 (cost=0.00..34.21 rows=121 width=683) (actual time=0.007..0.336 rows=121 loops=1)

639. 0.073 0.073 ↑ 1.0 77 1

Seq Scan on datas_part_0000009511 (cost=0.00..14.77 rows=77 width=675) (actual time=0.008..0.073 rows=77 loops=1)

640. 0.096 0.096 ↑ 1.0 77 1

Seq Scan on datas_part_0000009512 (cost=0.00..20.77 rows=77 width=678) (actual time=0.011..0.096 rows=77 loops=1)

641. 0.090 0.090 ↓ 1.0 77 1

Seq Scan on datas_part_0000009513 (cost=0.00..15.75 rows=75 width=678) (actual time=0.008..0.090 rows=77 loops=1)

642. 0.105 0.105 ↑ 1.0 77 1

Seq Scan on datas_part_0000009514 (cost=0.00..28.77 rows=77 width=674) (actual time=0.008..0.105 rows=77 loops=1)

643. 0.098 0.098 ↑ 1.0 75 1

Seq Scan on datas_part_0000009515 (cost=0.00..31.75 rows=75 width=678) (actual time=0.013..0.098 rows=75 loops=1)

644. 0.066 0.066 ↑ 1.0 72 1

Seq Scan on datas_part_0000009516 (cost=0.00..18.72 rows=72 width=679) (actual time=0.006..0.066 rows=72 loops=1)

645. 0.130 0.130 ↓ 1.3 120 1

Seq Scan on datas_part_0000009517 (cost=0.00..36.91 rows=91 width=683) (actual time=0.006..0.130 rows=120 loops=1)

646. 0.066 0.066 ↑ 1.0 73 1

Seq Scan on datas_part_0000009519 (cost=0.00..12.73 rows=73 width=678) (actual time=0.008..0.066 rows=73 loops=1)

647. 0.116 0.116 ↓ 1.3 118 1

Seq Scan on datas_part_0000009520 (cost=0.00..32.88 rows=88 width=685) (actual time=0.006..0.116 rows=118 loops=1)

648. 0.121 0.121 ↑ 1.0 115 1

Seq Scan on datas_part_0000009521 (cost=0.00..38.15 rows=115 width=683) (actual time=0.007..0.121 rows=115 loops=1)

649. 0.089 0.089 ↓ 1.1 115 1

Seq Scan on datas_part_0000009522 (cost=0.00..15.05 rows=105 width=677) (actual time=0.006..0.089 rows=115 loops=1)

650. 0.071 0.071 ↑ 1.0 74 1

Seq Scan on datas_part_0000009523 (cost=0.00..16.74 rows=74 width=674) (actual time=0.013..0.071 rows=74 loops=1)

651. 0.105 0.105 ↓ 1.3 117 1

Seq Scan on datas_part_0000009524 (cost=0.00..22.93 rows=93 width=684) (actual time=0.006..0.105 rows=117 loops=1)

652. 0.108 0.108 ↑ 1.0 75 1

Seq Scan on datas_part_0000009525 (cost=0.00..46.75 rows=75 width=674) (actual time=0.007..0.108 rows=75 loops=1)

653. 0.088 0.088 ↓ 1.1 115 1

Seq Scan on datas_part_0000009526 (cost=0.00..16.02 rows=102 width=674) (actual time=0.007..0.088 rows=115 loops=1)

654. 0.092 0.092 ↑ 1.0 75 1

Seq Scan on datas_part_0000009527 (cost=0.00..29.75 rows=75 width=675) (actual time=0.007..0.092 rows=75 loops=1)

655. 13.539 13.539 ↑ 1.0 118 1

Seq Scan on datas_part_0000009528 (cost=0.00..24.18 rows=118 width=682) (actual time=0.006..13.539 rows=118 loops=1)

656. 0.114 0.114 ↓ 1.3 121 1

Seq Scan on datas_part_0000009529 (cost=0.00..29.95 rows=95 width=681) (actual time=0.008..0.114 rows=121 loops=1)

657. 0.094 0.094 ↓ 1.1 111 1

Seq Scan on datas_part_0000009530 (cost=0.00..19.01 rows=101 width=685) (actual time=0.006..0.094 rows=111 loops=1)

658. 0.105 0.105 ↑ 1.0 118 1

Seq Scan on datas_part_0000009531 (cost=0.00..26.18 rows=118 width=683) (actual time=0.006..0.105 rows=118 loops=1)

659. 0.123 0.123 ↑ 1.0 117 1

Seq Scan on datas_part_0000009532 (cost=0.00..29.17 rows=117 width=683) (actual time=0.007..0.123 rows=117 loops=1)

660. 0.112 0.112 ↑ 1.0 72 1

Seq Scan on datas_part_0000009533 (cost=0.00..44.72 rows=72 width=677) (actual time=0.008..0.112 rows=72 loops=1)

661. 0.062 0.062 ↑ 1.0 73 1

Seq Scan on datas_part_0000009534 (cost=0.00..14.73 rows=73 width=677) (actual time=0.006..0.062 rows=73 loops=1)

662. 0.058 0.058 ↑ 1.0 73 1

Seq Scan on datas_part_0000009535 (cost=0.00..9.73 rows=73 width=675) (actual time=0.006..0.058 rows=73 loops=1)

663. 0.127 0.127 ↓ 1.3 117 1

Seq Scan on datas_part_0000009536 (cost=0.00..35.87 rows=87 width=675) (actual time=0.006..0.127 rows=117 loops=1)

664. 0.006 0.006 ↑ 1.0 1 1

Seq Scan on datas_part_default_tab (cost=0.00..1.01 rows=1 width=677) (actual time=0.005..0.006 rows=1 loops=1)

665. 0.011 0.016 ↑ 1.0 2 1

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

  • Buckets: 1024 Batches: 1 Memory Usage: 9kB
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. 59.222 59.235 ↑ 4.2 4 59,235

Materialize (cost=0.00..1.25 rows=17 width=73) (actual time=0.000..0.001 rows=4 loops=59,235)

668. 0.013 0.013 ↑ 1.0 17 1

Seq Scan on statustypes (cost=0.00..1.17 rows=17 width=73) (actual time=0.005..0.013 rows=17 loops=1)

669. 414.645 414.645 ↑ 1.0 1 59,235

Index Scan using accounts__pkey1 on accounts (cost=0.28..0.30 rows=1 width=49) (actual time=0.007..0.007 rows=1 loops=59,235)

  • Index Cond: (idaccount = datas_part_0000008825.idaccount)
670. 59.229 59.235 ↑ 1.0 4 59,235

Materialize (cost=0.00..1.06 rows=4 width=40) (actual time=0.001..0.001 rows=4 loops=59,235)

671. 0.006 0.006 ↑ 1.0 4 1

Seq Scan on account_states (cost=0.00..1.04 rows=4 width=40) (actual time=0.005..0.006 rows=4 loops=1)

672.          

SubPlan (for Nested Loop)

673. 296.175 947.760 ↑ 2.0 1 59,235

Result (cost=0.00..2.54 rows=2 width=32) (actual time=0.013..0.016 rows=1 loops=59,235)

674. 296.175 651.585 ↑ 2.0 1 59,235

Append (cost=0.00..2.50 rows=2 width=79) (actual time=0.008..0.011 rows=1 loops=59,235)

675. 0.000 0.000 ↓ 0.0 0 59,235

Seq Scan on equipments (cost=0.00..0.00 rows=1 width=96) (actual time=0.000..0.000 rows=0 loops=59,235)

  • Filter: (idequipment = datas_part_0000008825.idequipment)
676. 355.410 355.410 ↑ 1.0 1 59,235

Index Scan using network_devices_2_pkey on network_devices (cost=0.28..2.50 rows=1 width=62) (actual time=0.004..0.006 rows=1 loops=59,235)

  • Index Cond: (idequipment = datas_part_0000008825.idequipment)
Planning time : 112,751.143 ms