explain.depesz.com

PostgreSQL's explain analyze made readable

Result: SQy7

Settings
# exclusive inclusive rows x rows loops node
1. 7,164.967 36,734.068 ↓ 1,587.6 120,654 1

Nested Loop (cost=2.70..25,639.12 rows=76 width=940) (actual time=12,605.851..36,734.068 rows=120,654 loops=1)

  • Join Filter: (datas_part_0000008825.ideventtype = eventtypes.ideventtype)
  • Rows Removed by Join Filter: 18701370
2. 0.405 0.405 ↑ 1.0 156 1

Seq Scan on eventtypes (cost=0.00..6.56 rows=156 width=39) (actual time=0.015..0.405 rows=156 loops=1)

3. 24,983.312 27,879.540 ↓ 1,231.2 120,654 156

Materialize (cost=2.70..25,209.88 rows=98 width=813) (actual time=0.194..178.715 rows=120,654 loops=156)

4. 789.218 2,896.228 ↓ 1,231.2 120,654 1

Nested Loop (cost=2.70..25,209.39 rows=98 width=813) (actual time=0.134..2,896.228 rows=120,654 loops=1)

5. 311.780 1,141.778 ↓ 1,231.2 120,654 1

Hash Join (cost=2.43..25,180.32 rows=98 width=772) (actual time=0.112..1,141.778 rows=120,654 loops=1)

  • Hash Cond: (datas_part_0000008825.idstatustype = statustypes.idstatustype)
6. 347.375 829.982 ↓ 104.7 120,654 1

Hash Join (cost=1.04..25,175.84 rows=1,152 width=707) (actual time=0.078..829.982 rows=120,654 loops=1)

  • Hash Cond: (datas_part_0000008825.idreceptionmode = reception_modes.idreceptionmode)
7. 19.188 482.595 ↓ 1.0 120,654 1

Append (cost=0.00..24,866.07 rows=115,170 width=674) (actual time=0.045..482.595 rows=120,654 loops=1)

8. 0.215 0.215 ↑ 1.1 197 1

Seq Scan on datas_part_0000008825 (cost=0.00..39.10 rows=210 width=672) (actual time=0.044..0.215 rows=197 loops=1)

9. 0.160 0.160 ↑ 1.0 158 1

Seq Scan on datas_part_0000008826 (cost=0.00..30.58 rows=158 width=672) (actual time=0.036..0.160 rows=158 loops=1)

10. 0.166 0.166 ↑ 1.0 155 1

Seq Scan on datas_part_0000008827 (cost=0.00..32.55 rows=155 width=674) (actual time=0.030..0.166 rows=155 loops=1)

11. 0.138 0.138 ↑ 1.0 158 1

Seq Scan on datas_part_0000008828 (cost=0.00..26.58 rows=158 width=673) (actual time=0.027..0.138 rows=158 loops=1)

12. 0.186 0.186 ↓ 1.1 199 1

Seq Scan on datas_part_0000008829 (cost=0.00..41.77 rows=177 width=671) (actual time=0.028..0.186 rows=199 loops=1)

13. 0.205 0.205 ↓ 1.1 195 1

Seq Scan on datas_part_0000008830 (cost=0.00..27.83 rows=183 width=673) (actual time=0.034..0.205 rows=195 loops=1)

14. 0.222 0.222 ↓ 1.1 198 1

Seq Scan on datas_part_0000008831 (cost=0.00..37.78 rows=178 width=674) (actual time=0.036..0.222 rows=198 loops=1)

15. 0.201 0.201 ↓ 1.1 196 1

Seq Scan on datas_part_0000008832 (cost=0.00..36.76 rows=176 width=672) (actual time=0.032..0.201 rows=196 loops=1)

16. 24.608 24.608 ↓ 1.3 199 1

Seq Scan on datas_part_0000008833 (cost=0.00..53.59 rows=159 width=673) (actual time=0.032..24.608 rows=199 loops=1)

17. 0.212 0.212 ↑ 1.0 193 1

Seq Scan on datas_part_0000008834 (cost=0.00..26.96 rows=196 width=673) (actual time=0.039..0.212 rows=193 loops=1)

18. 0.217 0.217 ↓ 1.3 198 1

Seq Scan on datas_part_0000008835 (cost=0.00..54.58 rows=158 width=672) (actual time=0.035..0.217 rows=198 loops=1)

19. 0.333 0.333 ↑ 1.0 235 1

Seq Scan on datas_part_0000008836 (cost=0.00..91.35 rows=235 width=665) (actual time=0.027..0.333 rows=235 loops=1)

20. 0.229 0.229 ↓ 1.3 187 1

Seq Scan on datas_part_0000008837 (cost=0.00..24.47 rows=147 width=676) (actual time=0.033..0.229 rows=187 loops=1)

21. 0.215 0.215 ↓ 1.1 199 1

Seq Scan on datas_part_0000008838 (cost=0.00..26.86 rows=186 width=672) (actual time=0.021..0.215 rows=199 loops=1)

22. 0.217 0.217 ↓ 1.1 198 1

Seq Scan on datas_part_0000008839 (cost=0.00..38.77 rows=177 width=672) (actual time=0.038..0.217 rows=198 loops=1)

23. 0.196 0.196 ↓ 1.0 193 1

Seq Scan on datas_part_0000008840 (cost=0.00..22.90 rows=190 width=672) (actual time=0.039..0.196 rows=193 loops=1)

24. 0.168 0.168 ↓ 1.1 194 1

Seq Scan on datas_part_0000008841 (cost=0.00..36.75 rows=175 width=674) (actual time=0.016..0.168 rows=194 loops=1)

25. 0.178 0.178 ↑ 1.8 194 1

Seq Scan on datas_part_0000008842 (cost=0.00..48.49 rows=349 width=674) (actual time=0.016..0.178 rows=194 loops=1)

26. 0.186 0.186 ↓ 1.0 203 1

Seq Scan on datas_part_0000008843 (cost=0.00..29.94 rows=194 width=675) (actual time=0.018..0.186 rows=203 loops=1)

27. 0.147 0.147 ↓ 1.0 165 1

Seq Scan on datas_part_0000008844 (cost=0.00..24.62 rows=162 width=674) (actual time=0.017..0.147 rows=165 loops=1)

28. 0.147 0.147 ↓ 1.0 160 1

Seq Scan on datas_part_0000008846 (cost=0.00..31.57 rows=157 width=673) (actual time=0.021..0.147 rows=160 loops=1)

29. 0.154 0.154 ↓ 1.0 162 1

Seq Scan on datas_part_0000008847 (cost=0.00..26.59 rows=159 width=673) (actual time=0.028..0.154 rows=162 loops=1)

30. 0.162 0.162 ↓ 1.0 161 1

Seq Scan on datas_part_0000008848 (cost=0.00..31.58 rows=158 width=675) (actual time=0.027..0.162 rows=161 loops=1)

31. 0.154 0.154 ↓ 1.0 164 1

Seq Scan on datas_part_0000008849 (cost=0.00..24.62 rows=162 width=672) (actual time=0.030..0.154 rows=164 loops=1)

32. 8.359 8.359 ↓ 1.0 165 1

Seq Scan on datas_part_0000008850 (cost=0.00..35.62 rows=162 width=673) (actual time=0.023..8.359 rows=165 loops=1)

33. 0.151 0.151 ↓ 1.0 165 1

Seq Scan on datas_part_0000008851 (cost=0.00..30.62 rows=162 width=673) (actual time=0.025..0.151 rows=165 loops=1)

34. 0.137 0.137 ↓ 1.0 161 1

Seq Scan on datas_part_0000008853 (cost=0.00..26.58 rows=158 width=673) (actual time=0.026..0.137 rows=161 loops=1)

35. 0.133 0.133 ↓ 1.0 154 1

Seq Scan on datas_part_0000008854 (cost=0.00..23.51 rows=151 width=674) (actual time=0.026..0.133 rows=154 loops=1)

36. 5.171 5.171 ↓ 1.0 165 1

Seq Scan on datas_part_0000008855 (cost=0.00..29.62 rows=162 width=674) (actual time=0.028..5.171 rows=165 loops=1)

37. 0.189 0.189 ↓ 1.0 165 1

Seq Scan on datas_part_0000008856 (cost=0.00..30.62 rows=162 width=672) (actual time=0.041..0.189 rows=165 loops=1)

38. 0.276 0.276 ↓ 1.0 165 1

Seq Scan on datas_part_0000008857 (cost=0.00..64.62 rows=162 width=674) (actual time=0.037..0.276 rows=165 loops=1)

39. 0.168 0.168 ↓ 1.0 165 1

Seq Scan on datas_part_0000008858 (cost=0.00..35.62 rows=162 width=673) (actual time=0.030..0.168 rows=165 loops=1)

40. 0.178 0.178 ↓ 1.0 162 1

Seq Scan on datas_part_0000008860 (cost=0.00..43.59 rows=159 width=671) (actual time=0.032..0.178 rows=162 loops=1)

41. 0.172 0.172 ↓ 1.0 165 1

Seq Scan on datas_part_0000008861 (cost=0.00..43.62 rows=162 width=673) (actual time=0.037..0.172 rows=165 loops=1)

42. 0.136 0.136 ↓ 1.0 161 1

Seq Scan on datas_part_0000008863 (cost=0.00..29.58 rows=158 width=671) (actual time=0.021..0.136 rows=161 loops=1)

43. 0.135 0.135 ↓ 1.0 152 1

Seq Scan on datas_part_0000008864 (cost=0.00..27.50 rows=150 width=669) (actual time=0.023..0.135 rows=152 loops=1)

44. 0.189 0.189 ↓ 1.3 207 1

Seq Scan on datas_part_0000008865 (cost=0.00..30.63 rows=163 width=674) (actual time=0.023..0.189 rows=207 loops=1)

45. 0.444 0.444 ↓ 1.0 165 1

Seq Scan on datas_part_0000008866 (cost=0.00..62.62 rows=162 width=673) (actual time=0.034..0.444 rows=165 loops=1)

46. 0.192 0.192 ↓ 1.0 155 1

Seq Scan on datas_part_0000008867 (cost=0.00..27.52 rows=152 width=675) (actual time=0.056..0.192 rows=155 loops=1)

47. 0.176 0.176 ↓ 1.0 161 1

Seq Scan on datas_part_0000008868 (cost=0.00..38.58 rows=158 width=676) (actual time=0.034..0.176 rows=161 loops=1)

48. 0.178 0.178 ↓ 1.0 164 1

Seq Scan on datas_part_0000008869 (cost=0.00..35.61 rows=161 width=674) (actual time=0.033..0.178 rows=164 loops=1)

49. 0.171 0.171 ↓ 1.0 160 1

Seq Scan on datas_part_0000008870 (cost=0.00..29.57 rows=157 width=672) (actual time=0.037..0.171 rows=160 loops=1)

50. 0.188 0.188 ↓ 1.0 165 1

Seq Scan on datas_part_0000008871 (cost=0.00..50.62 rows=162 width=674) (actual time=0.040..0.188 rows=165 loops=1)

51. 0.182 0.182 ↓ 1.0 165 1

Seq Scan on datas_part_0000008872 (cost=0.00..30.62 rows=162 width=672) (actual time=0.036..0.182 rows=165 loops=1)

52. 0.173 0.173 ↓ 1.0 165 1

Seq Scan on datas_part_0000008873 (cost=0.00..25.62 rows=162 width=673) (actual time=0.030..0.173 rows=165 loops=1)

53. 0.144 0.144 ↓ 1.0 165 1

Seq Scan on datas_part_0000008874 (cost=0.00..30.61 rows=161 width=674) (actual time=0.015..0.144 rows=165 loops=1)

54. 0.147 0.147 ↓ 1.0 154 1

Seq Scan on datas_part_0000008875 (cost=0.00..22.51 rows=151 width=674) (actual time=0.028..0.147 rows=154 loops=1)

55. 0.155 0.155 ↑ 1.0 162 1

Seq Scan on datas_part_0000008876 (cost=0.00..46.62 rows=162 width=673) (actual time=0.018..0.155 rows=162 loops=1)

56. 0.217 0.217 ↓ 1.1 199 1

Seq Scan on datas_part_0000008877 (cost=0.00..36.75 rows=175 width=672) (actual time=0.036..0.217 rows=199 loops=1)

57. 0.170 0.170 ↓ 1.0 162 1

Seq Scan on datas_part_0000008878 (cost=0.00..25.58 rows=158 width=674) (actual time=0.037..0.170 rows=162 loops=1)

58. 0.156 0.156 ↓ 1.0 165 1

Seq Scan on datas_part_0000008879 (cost=0.00..38.62 rows=162 width=674) (actual time=0.016..0.156 rows=165 loops=1)

59. 0.193 0.193 ↓ 1.0 160 1

Seq Scan on datas_part_0000008880 (cost=0.00..80.58 rows=158 width=673) (actual time=0.014..0.193 rows=160 loops=1)

60. 0.166 0.166 ↓ 1.0 163 1

Seq Scan on datas_part_0000008881 (cost=0.00..55.61 rows=161 width=674) (actual time=0.015..0.166 rows=163 loops=1)

61. 0.156 0.156 ↓ 1.0 165 1

Seq Scan on datas_part_0000008882 (cost=0.00..33.62 rows=162 width=672) (actual time=0.014..0.156 rows=165 loops=1)

62. 0.167 0.167 ↓ 1.0 161 1

Seq Scan on datas_part_0000008883 (cost=0.00..52.58 rows=158 width=673) (actual time=0.016..0.167 rows=161 loops=1)

63. 0.216 0.216 ↑ 1.0 233 1

Seq Scan on datas_part_0000008884 (cost=0.00..34.33 rows=233 width=674) (actual time=0.016..0.216 rows=233 loops=1)

64. 0.249 0.249 ↑ 1.0 230 1

Seq Scan on datas_part_0000008885 (cost=0.00..47.30 rows=230 width=670) (actual time=0.018..0.249 rows=230 loops=1)

65. 0.305 0.305 ↓ 1.0 239 1

Seq Scan on datas_part_0000008886 (cost=0.00..38.36 rows=236 width=671) (actual time=0.022..0.305 rows=239 loops=1)

66. 0.235 0.235 ↑ 1.0 239 1

Seq Scan on datas_part_0000008887 (cost=0.00..44.39 rows=239 width=673) (actual time=0.037..0.235 rows=239 loops=1)

67. 0.165 0.165 ↓ 1.1 195 1

Seq Scan on datas_part_0000008888 (cost=0.00..33.77 rows=177 width=673) (actual time=0.016..0.165 rows=195 loops=1)

68. 0.193 0.193 ↓ 1.1 201 1

Seq Scan on datas_part_0000008889 (cost=0.00..32.81 rows=181 width=672) (actual time=0.024..0.193 rows=201 loops=1)

69. 0.204 0.204 ↑ 1.4 198 1

Seq Scan on datas_part_0000008890 (cost=0.00..51.87 rows=287 width=674) (actual time=0.024..0.204 rows=198 loops=1)

70. 6.337 6.337 ↑ 1.0 239 1

Seq Scan on datas_part_0000008891 (cost=0.00..41.39 rows=239 width=673) (actual time=0.028..6.337 rows=239 loops=1)

71. 0.205 0.205 ↓ 1.1 197 1

Seq Scan on datas_part_0000008892 (cost=0.00..36.74 rows=174 width=674) (actual time=0.021..0.205 rows=197 loops=1)

72. 0.219 0.219 ↓ 1.0 242 1

Seq Scan on datas_part_0000008893 (cost=0.00..43.39 rows=239 width=672) (actual time=0.015..0.219 rows=242 loops=1)

73. 0.205 0.205 ↑ 1.0 159 1

Seq Scan on datas_part_0000008894 (cost=0.00..73.59 rows=159 width=669) (actual time=0.028..0.205 rows=159 loops=1)

74. 0.247 0.247 ↑ 1.0 237 1

Seq Scan on datas_part_0000008895 (cost=0.00..64.37 rows=237 width=674) (actual time=0.029..0.247 rows=237 loops=1)

75. 0.178 0.178 ↓ 1.1 198 1

Seq Scan on datas_part_0000008896 (cost=0.00..39.77 rows=177 width=672) (actual time=0.030..0.178 rows=198 loops=1)

76. 0.200 0.200 ↑ 1.2 194 1

Seq Scan on datas_part_0000008897 (cost=0.00..43.27 rows=227 width=675) (actual time=0.025..0.200 rows=194 loops=1)

77. 0.203 0.203 ↓ 1.4 191 1

Seq Scan on datas_part_0000008898 (cost=0.00..44.39 rows=139 width=671) (actual time=0.032..0.203 rows=191 loops=1)

78. 0.201 0.201 ↓ 1.1 201 1

Seq Scan on datas_part_0000008899 (cost=0.00..43.75 rows=175 width=673) (actual time=0.028..0.201 rows=201 loops=1)

79. 0.215 0.215 ↑ 1.0 193 1

Seq Scan on datas_part_0000008900 (cost=0.00..53.01 rows=201 width=671) (actual time=0.030..0.215 rows=193 loops=1)

80. 0.273 0.273 ↑ 1.2 196 1

Seq Scan on datas_part_0000008901 (cost=0.00..84.37 rows=237 width=674) (actual time=0.029..0.273 rows=196 loops=1)

81. 0.213 0.213 ↑ 1.0 237 1

Seq Scan on datas_part_0000008902 (cost=0.00..44.37 rows=237 width=673) (actual time=0.027..0.213 rows=237 loops=1)

82. 0.166 0.166 ↑ 1.0 155 1

Seq Scan on datas_part_0000008904 (cost=0.00..35.55 rows=155 width=678) (actual time=0.029..0.166 rows=155 loops=1)

83. 0.307 0.307 ↑ 1.0 237 1

Seq Scan on datas_part_0000008905 (cost=0.00..44.37 rows=237 width=672) (actual time=0.016..0.307 rows=237 loops=1)

84. 0.166 0.166 ↑ 1.0 158 1

Seq Scan on datas_part_0000008906 (cost=0.00..36.58 rows=158 width=674) (actual time=0.017..0.166 rows=158 loops=1)

85. 0.253 0.253 ↑ 1.0 222 1

Seq Scan on datas_part_0000008907 (cost=0.00..34.22 rows=222 width=673) (actual time=0.044..0.253 rows=222 loops=1)

86. 0.222 0.222 ↑ 1.0 238 1

Seq Scan on datas_part_0000008908 (cost=0.00..36.38 rows=238 width=673) (actual time=0.020..0.222 rows=238 loops=1)

87. 0.230 0.230 ↑ 1.0 238 1

Seq Scan on datas_part_0000008909 (cost=0.00..55.38 rows=238 width=670) (actual time=0.017..0.230 rows=238 loops=1)

88. 0.170 0.170 ↓ 1.1 199 1

Seq Scan on datas_part_0000008910 (cost=0.00..39.78 rows=178 width=673) (actual time=0.015..0.170 rows=199 loops=1)

89. 0.210 0.210 ↑ 1.0 239 1

Seq Scan on datas_part_0000008911 (cost=0.00..42.39 rows=239 width=674) (actual time=0.016..0.210 rows=239 loops=1)

90. 0.201 0.201 ↑ 1.0 239 1

Seq Scan on datas_part_0000008912 (cost=0.00..41.39 rows=239 width=672) (actual time=0.017..0.201 rows=239 loops=1)

91. 0.301 0.301 ↑ 1.0 239 1

Seq Scan on datas_part_0000008913 (cost=0.00..43.39 rows=239 width=674) (actual time=0.016..0.301 rows=239 loops=1)

92. 0.219 0.219 ↓ 1.1 201 1

Seq Scan on datas_part_0000008914 (cost=0.00..39.77 rows=177 width=673) (actual time=0.017..0.219 rows=201 loops=1)

93. 5.461 5.461 ↓ 1.0 155 1

Seq Scan on datas_part_0000008915 (cost=0.00..31.52 rows=152 width=675) (actual time=0.017..5.461 rows=155 loops=1)

94. 0.215 0.215 ↓ 1.1 201 1

Seq Scan on datas_part_0000008917 (cost=0.00..38.77 rows=177 width=671) (actual time=0.022..0.215 rows=201 loops=1)

95. 0.209 0.209 ↓ 1.1 201 1

Seq Scan on datas_part_0000008919 (cost=0.00..43.75 rows=175 width=672) (actual time=0.016..0.209 rows=201 loops=1)

96. 0.201 0.201 ↓ 1.3 201 1

Seq Scan on datas_part_0000008920 (cost=0.00..43.58 rows=158 width=673) (actual time=0.016..0.201 rows=201 loops=1)

97. 0.199 0.199 ↓ 1.1 202 1

Seq Scan on datas_part_0000008921 (cost=0.00..43.76 rows=176 width=673) (actual time=0.017..0.199 rows=202 loops=1)

98. 0.200 0.200 ↑ 1.0 239 1

Seq Scan on datas_part_0000008922 (cost=0.00..40.39 rows=239 width=674) (actual time=0.015..0.200 rows=239 loops=1)

99. 0.309 0.309 ↓ 1.1 201 1

Seq Scan on datas_part_0000008923 (cost=0.00..42.75 rows=175 width=671) (actual time=0.015..0.309 rows=201 loops=1)

100. 0.253 0.253 ↓ 1.1 197 1

Seq Scan on datas_part_0000008924 (cost=0.00..32.80 rows=180 width=673) (actual time=0.028..0.253 rows=197 loops=1)

101. 7.125 7.125 ↑ 1.2 200 1

Seq Scan on datas_part_0000008925 (cost=0.00..42.36 rows=236 width=675) (actual time=0.017..7.125 rows=200 loops=1)

102. 0.199 0.199 ↓ 1.0 162 1

Seq Scan on datas_part_0000008926 (cost=0.00..42.59 rows=159 width=675) (actual time=0.015..0.199 rows=162 loops=1)

103. 0.200 0.200 ↑ 1.4 200 1

Seq Scan on datas_part_0000008927 (cost=0.00..39.80 rows=280 width=674) (actual time=0.015..0.200 rows=200 loops=1)

104. 0.164 0.164 ↓ 1.3 200 1

Seq Scan on datas_part_0000008928 (cost=0.00..27.59 rows=159 width=676) (actual time=0.015..0.164 rows=200 loops=1)

105. 0.195 0.195 ↑ 1.1 199 1

Seq Scan on datas_part_0000008929 (cost=0.00..37.13 rows=213 width=675) (actual time=0.014..0.195 rows=199 loops=1)

106. 0.186 0.186 ↑ 1.1 197 1

Seq Scan on datas_part_0000008930 (cost=0.00..33.20 rows=220 width=678) (actual time=0.015..0.186 rows=197 loops=1)

107. 0.244 0.244 ↓ 1.0 155 1

Seq Scan on datas_part_0000008931 (cost=0.00..67.53 rows=153 width=675) (actual time=0.036..0.244 rows=155 loops=1)

108. 0.247 0.247 ↓ 1.3 198 1

Seq Scan on datas_part_0000008932 (cost=0.00..64.58 rows=158 width=675) (actual time=0.018..0.247 rows=198 loops=1)

109. 0.179 0.179 ↑ 1.0 154 1

Seq Scan on datas_part_0000008933 (cost=0.00..36.54 rows=154 width=670) (actual time=0.038..0.179 rows=154 loops=1)

110. 0.199 0.199 ↓ 1.0 189 1

Seq Scan on datas_part_0000008934 (cost=0.00..22.85 rows=185 width=672) (actual time=0.035..0.199 rows=189 loops=1)

111. 0.195 0.195 ↑ 1.0 159 1

Seq Scan on datas_part_0000008935 (cost=0.00..26.59 rows=159 width=672) (actual time=0.033..0.195 rows=159 loops=1)

112. 0.186 0.186 ↑ 1.1 184 1

Seq Scan on datas_part_0000008936 (cost=0.00..26.05 rows=205 width=677) (actual time=0.018..0.186 rows=184 loops=1)

113. 0.184 0.184 ↑ 1.0 159 1

Seq Scan on datas_part_0000008937 (cost=0.00..39.59 rows=159 width=676) (actual time=0.017..0.184 rows=159 loops=1)

114. 0.180 0.180 ↑ 1.0 158 1

Seq Scan on datas_part_0000008938 (cost=0.00..40.58 rows=158 width=680) (actual time=0.037..0.180 rows=158 loops=1)

115. 0.225 0.225 ↓ 1.0 193 1

Seq Scan on datas_part_0000008939 (cost=0.00..44.89 rows=189 width=675) (actual time=0.035..0.225 rows=193 loops=1)

116. 0.153 0.153 ↓ 1.0 155 1

Seq Scan on datas_part_0000008940 (cost=0.00..33.52 rows=152 width=673) (actual time=0.015..0.153 rows=155 loops=1)

117. 0.199 0.199 ↓ 1.3 200 1

Seq Scan on datas_part_0000008941 (cost=0.00..36.59 rows=159 width=675) (actual time=0.039..0.199 rows=200 loops=1)

118. 0.153 0.153 ↓ 1.0 161 1

Seq Scan on datas_part_0000008942 (cost=0.00..32.59 rows=159 width=675) (actual time=0.028..0.153 rows=161 loops=1)

119. 0.186 0.186 ↑ 1.0 158 1

Seq Scan on datas_part_0000008943 (cost=0.00..38.58 rows=158 width=677) (actual time=0.026..0.186 rows=158 loops=1)

120. 0.176 0.176 ↓ 1.0 161 1

Seq Scan on datas_part_0000008944 (cost=0.00..53.58 rows=158 width=672) (actual time=0.026..0.176 rows=161 loops=1)

121. 0.211 0.211 ↓ 1.0 198 1

Seq Scan on datas_part_0000008945 (cost=0.00..41.92 rows=192 width=672) (actual time=0.025..0.211 rows=198 loops=1)

122. 35.531 35.531 ↓ 1.0 154 1

Seq Scan on datas_part_0000008946 (cost=0.00..30.51 rows=151 width=674) (actual time=0.031..35.531 rows=154 loops=1)

123. 0.166 0.166 ↓ 1.0 159 1

Seq Scan on datas_part_0000008947 (cost=0.00..46.56 rows=156 width=672) (actual time=0.019..0.166 rows=159 loops=1)

124. 0.168 0.168 ↓ 1.0 157 1

Seq Scan on datas_part_0000008948 (cost=0.00..48.54 rows=154 width=671) (actual time=0.021..0.168 rows=157 loops=1)

125. 0.228 0.228 ↓ 1.2 190 1

Seq Scan on datas_part_0000008949 (cost=0.00..52.54 rows=154 width=673) (actual time=0.036..0.228 rows=190 loops=1)

126. 0.178 0.178 ↓ 1.0 162 1

Seq Scan on datas_part_0000008950 (cost=0.00..26.59 rows=159 width=676) (actual time=0.035..0.178 rows=162 loops=1)

127. 0.210 0.210 ↑ 1.0 155 1

Seq Scan on datas_part_0000008951 (cost=0.00..28.55 rows=155 width=674) (actual time=0.043..0.210 rows=155 loops=1)

128. 0.232 0.232 ↓ 1.1 193 1

Seq Scan on datas_part_0000008952 (cost=0.00..40.83 rows=183 width=673) (actual time=0.039..0.232 rows=193 loops=1)

129. 0.156 0.156 ↓ 1.0 154 1

Seq Scan on datas_part_0000008953 (cost=0.00..24.51 rows=151 width=674) (actual time=0.032..0.156 rows=154 loops=1)

130. 0.197 0.197 ↓ 1.0 157 1

Seq Scan on datas_part_0000008954 (cost=0.00..34.54 rows=154 width=674) (actual time=0.046..0.197 rows=157 loops=1)

131. 0.198 0.198 ↓ 1.1 197 1

Seq Scan on datas_part_0000008955 (cost=0.00..36.75 rows=175 width=672) (actual time=0.035..0.198 rows=197 loops=1)

132. 0.220 0.220 ↓ 1.0 157 1

Seq Scan on datas_part_0000008956 (cost=0.00..58.54 rows=154 width=675) (actual time=0.032..0.220 rows=157 loops=1)

133. 0.173 0.173 ↓ 1.0 160 1

Seq Scan on datas_part_0000008957 (cost=0.00..44.57 rows=157 width=677) (actual time=0.017..0.173 rows=160 loops=1)

134. 0.174 0.174 ↓ 1.0 154 1

Seq Scan on datas_part_0000008958 (cost=0.00..43.51 rows=151 width=672) (actual time=0.017..0.174 rows=154 loops=1)

135. 0.146 0.146 ↓ 1.0 157 1

Seq Scan on datas_part_0000008959 (cost=0.00..27.55 rows=155 width=672) (actual time=0.016..0.146 rows=157 loops=1)

136. 5.518 5.518 ↓ 1.0 164 1

Seq Scan on datas_part_0000008960 (cost=0.00..52.62 rows=162 width=674) (actual time=0.016..5.518 rows=164 loops=1)

137. 0.021 0.021 ↓ 1.5 3 1

Seq Scan on datas_part_0000008961 (cost=0.00..1.02 rows=2 width=656) (actual time=0.019..0.021 rows=3 loops=1)

138. 0.144 0.144 ↓ 1.0 160 1

Seq Scan on datas_part_0000008962 (cost=0.00..27.58 rows=158 width=673) (actual time=0.014..0.144 rows=160 loops=1)

139. 0.141 0.141 ↓ 1.0 160 1

Seq Scan on datas_part_0000008963 (cost=0.00..24.58 rows=158 width=672) (actual time=0.017..0.141 rows=160 loops=1)

140. 0.128 0.128 ↓ 1.0 160 1

Seq Scan on datas_part_0000008964 (cost=0.00..19.57 rows=157 width=675) (actual time=0.016..0.128 rows=160 loops=1)

141. 0.136 0.136 ↓ 1.0 161 1

Seq Scan on datas_part_0000008965 (cost=0.00..26.58 rows=158 width=673) (actual time=0.015..0.136 rows=161 loops=1)

142. 0.141 0.141 ↓ 1.0 161 1

Seq Scan on datas_part_0000008967 (cost=0.00..28.58 rows=158 width=672) (actual time=0.016..0.141 rows=161 loops=1)

143. 0.147 0.147 ↓ 1.0 157 1

Seq Scan on datas_part_0000008968 (cost=0.00..28.54 rows=154 width=673) (actual time=0.015..0.147 rows=157 loops=1)

144. 0.156 0.156 ↓ 1.0 160 1

Seq Scan on datas_part_0000008969 (cost=0.00..33.58 rows=158 width=673) (actual time=0.016..0.156 rows=160 loops=1)

145. 0.162 0.162 ↓ 1.0 157 1

Seq Scan on datas_part_0000008970 (cost=0.00..23.54 rows=154 width=674) (actual time=0.035..0.162 rows=157 loops=1)

146. 0.159 0.159 ↓ 1.0 154 1

Seq Scan on datas_part_0000008971 (cost=0.00..25.51 rows=151 width=672) (actual time=0.037..0.159 rows=154 loops=1)

147. 2.843 2.843 ↓ 1.0 161 1

Seq Scan on datas_part_0000008972 (cost=0.00..35.58 rows=158 width=672) (actual time=0.018..2.843 rows=161 loops=1)

148. 0.165 0.165 ↓ 1.0 160 1

Seq Scan on datas_part_0000008973 (cost=0.00..33.58 rows=158 width=674) (actual time=0.020..0.165 rows=160 loops=1)

149. 0.195 0.195 ↓ 1.0 156 1

Seq Scan on datas_part_0000008974 (cost=0.00..85.53 rows=153 width=673) (actual time=0.015..0.195 rows=156 loops=1)

150. 0.134 0.134 ↓ 1.0 149 1

Seq Scan on datas_part_0000008975 (cost=0.00..31.46 rows=146 width=673) (actual time=0.015..0.134 rows=149 loops=1)

151. 0.141 0.141 ↓ 1.0 152 1

Seq Scan on datas_part_0000008976 (cost=0.00..29.49 rows=149 width=673) (actual time=0.025..0.141 rows=152 loops=1)

152. 0.139 0.139 ↓ 1.0 156 1

Seq Scan on datas_part_0000008977 (cost=0.00..26.53 rows=153 width=674) (actual time=0.027..0.139 rows=156 loops=1)

153. 0.135 0.135 ↓ 1.0 155 1

Seq Scan on datas_part_0000008978 (cost=0.00..28.52 rows=152 width=676) (actual time=0.025..0.135 rows=155 loops=1)

154. 0.207 0.207 ↓ 1.0 157 1

Seq Scan on datas_part_0000008979 (cost=0.00..28.54 rows=154 width=674) (actual time=0.022..0.207 rows=157 loops=1)

155. 0.166 0.166 ↓ 1.0 161 1

Seq Scan on datas_part_0000008980 (cost=0.00..24.58 rows=158 width=673) (actual time=0.042..0.166 rows=161 loops=1)

156. 0.171 0.171 ↓ 1.0 139 1

Seq Scan on datas_part_0000008981 (cost=0.00..40.36 rows=136 width=674) (actual time=0.028..0.171 rows=139 loops=1)

157. 0.146 0.146 ↓ 1.0 160 1

Seq Scan on datas_part_0000008982 (cost=0.00..37.58 rows=158 width=674) (actual time=0.015..0.146 rows=160 loops=1)

158. 0.149 0.149 ↓ 1.0 161 1

Seq Scan on datas_part_0000008983 (cost=0.00..36.58 rows=158 width=672) (actual time=0.015..0.149 rows=161 loops=1)

159. 0.137 0.137 ↓ 1.0 161 1

Seq Scan on datas_part_0000008984 (cost=0.00..26.58 rows=158 width=674) (actual time=0.015..0.137 rows=161 loops=1)

160. 0.125 0.125 ↓ 1.0 150 1

Seq Scan on datas_part_0000008985 (cost=0.00..18.47 rows=147 width=672) (actual time=0.016..0.125 rows=150 loops=1)

161. 0.152 0.152 ↓ 1.0 155 1

Seq Scan on datas_part_0000008986 (cost=0.00..28.52 rows=152 width=674) (actual time=0.016..0.152 rows=155 loops=1)

162. 0.162 0.162 ↓ 1.0 161 1

Seq Scan on datas_part_0000008987 (cost=0.00..42.58 rows=158 width=673) (actual time=0.015..0.162 rows=161 loops=1)

163. 0.147 0.147 ↓ 1.0 161 1

Seq Scan on datas_part_0000008988 (cost=0.00..35.58 rows=158 width=673) (actual time=0.016..0.147 rows=161 loops=1)

164. 0.173 0.173 ↑ 1.0 149 1

Seq Scan on datas_part_0000008989 (cost=0.00..65.49 rows=149 width=671) (actual time=0.016..0.173 rows=149 loops=1)

165. 0.153 0.153 ↓ 1.0 161 1

Seq Scan on datas_part_0000008991 (cost=0.00..32.58 rows=158 width=673) (actual time=0.024..0.153 rows=161 loops=1)

166. 0.144 0.144 ↓ 1.0 157 1

Seq Scan on datas_part_0000008992 (cost=0.00..33.54 rows=154 width=674) (actual time=0.017..0.144 rows=157 loops=1)

167. 0.137 0.137 ↑ 1.0 157 1

Seq Scan on datas_part_0000008993 (cost=0.00..31.57 rows=157 width=674) (actual time=0.015..0.137 rows=157 loops=1)

168. 0.174 0.174 ↓ 1.1 194 1

Seq Scan on datas_part_0000008994 (cost=0.00..31.74 rows=174 width=673) (actual time=0.015..0.174 rows=194 loops=1)

169. 0.153 0.153 ↓ 1.0 161 1

Seq Scan on datas_part_0000008997 (cost=0.00..35.58 rows=158 width=674) (actual time=0.016..0.153 rows=161 loops=1)

170. 0.153 0.153 ↓ 1.0 161 1

Seq Scan on datas_part_0000008998 (cost=0.00..35.58 rows=158 width=674) (actual time=0.014..0.153 rows=161 loops=1)

171. 0.162 0.162 ↓ 1.0 161 1

Seq Scan on datas_part_0000008999 (cost=0.00..43.58 rows=158 width=673) (actual time=0.016..0.162 rows=161 loops=1)

172. 8.055 8.055 ↓ 1.0 161 1

Seq Scan on datas_part_0000009000 (cost=0.00..25.58 rows=158 width=673) (actual time=0.016..8.055 rows=161 loops=1)

173. 0.220 0.220 ↓ 1.0 162 1

Seq Scan on datas_part_0000009001 (cost=0.00..75.59 rows=159 width=675) (actual time=0.036..0.220 rows=162 loops=1)

174. 0.150 0.150 ↓ 1.0 158 1

Seq Scan on datas_part_0000009002 (cost=0.00..30.55 rows=155 width=674) (actual time=0.017..0.150 rows=158 loops=1)

175. 0.141 0.141 ↓ 1.0 154 1

Seq Scan on datas_part_0000009003 (cost=0.00..26.51 rows=151 width=675) (actual time=0.018..0.141 rows=154 loops=1)

176. 0.210 0.210 ↓ 1.1 199 1

Seq Scan on datas_part_0000009004 (cost=0.00..43.76 rows=176 width=673) (actual time=0.015..0.210 rows=199 loops=1)

177. 0.257 0.257 ↓ 1.2 197 1

Seq Scan on datas_part_0000009005 (cost=0.00..40.70 rows=170 width=675) (actual time=0.032..0.257 rows=197 loops=1)

178. 0.242 0.242 ↓ 1.1 202 1

Seq Scan on datas_part_0000009006 (cost=0.00..41.77 rows=177 width=674) (actual time=0.038..0.242 rows=202 loops=1)

179. 0.234 0.234 ↓ 1.1 198 1

Seq Scan on datas_part_0000009007 (cost=0.00..26.88 rows=188 width=675) (actual time=0.035..0.234 rows=198 loops=1)

180. 0.171 0.171 ↓ 1.0 198 1

Seq Scan on datas_part_0000009008 (cost=0.00..25.90 rows=190 width=673) (actual time=0.018..0.171 rows=198 loops=1)

181. 0.162 0.162 ↓ 1.2 201 1

Seq Scan on datas_part_0000009009 (cost=0.00..23.61 rows=161 width=675) (actual time=0.015..0.162 rows=201 loops=1)

182. 0.195 0.195 ↓ 1.3 202 1

Seq Scan on datas_part_0000009010 (cost=0.00..50.59 rows=159 width=672) (actual time=0.015..0.195 rows=202 loops=1)

183. 0.162 0.162 ↓ 1.1 199 1

Seq Scan on datas_part_0000009011 (cost=0.00..26.89 rows=189 width=672) (actual time=0.015..0.162 rows=199 loops=1)

184. 0.210 0.210 ↓ 1.1 194 1

Seq Scan on datas_part_0000009012 (cost=0.00..35.71 rows=171 width=672) (actual time=0.016..0.210 rows=194 loops=1)

185. 0.213 0.213 ↓ 1.1 183 1

Seq Scan on datas_part_0000009013 (cost=0.00..27.73 rows=173 width=676) (actual time=0.041..0.213 rows=183 loops=1)

186. 0.098 0.098 ↓ 1.0 76 1

Seq Scan on datas_part_0000009014 (cost=0.00..13.74 rows=74 width=677) (actual time=0.034..0.098 rows=76 loops=1)

187. 0.220 0.220 ↓ 1.1 199 1

Seq Scan on datas_part_0000009015 (cost=0.00..42.76 rows=176 width=671) (actual time=0.033..0.220 rows=199 loops=1)

188. 0.166 0.166 ↓ 1.0 194 1

Seq Scan on datas_part_0000009016 (cost=0.00..25.86 rows=186 width=674) (actual time=0.017..0.166 rows=194 loops=1)

189. 0.192 0.192 ↓ 1.1 194 1

Seq Scan on datas_part_0000009017 (cost=0.00..36.70 rows=170 width=674) (actual time=0.031..0.192 rows=194 loops=1)

190. 0.195 0.195 ↓ 1.2 189 1

Seq Scan on datas_part_0000009018 (cost=0.00..35.59 rows=159 width=673) (actual time=0.033..0.195 rows=189 loops=1)

191. 0.195 0.195 ↓ 1.1 201 1

Seq Scan on datas_part_0000009019 (cost=0.00..26.88 rows=188 width=675) (actual time=0.016..0.195 rows=201 loops=1)

192. 0.170 0.170 ↓ 1.2 196 1

Seq Scan on datas_part_0000009020 (cost=0.00..29.58 rows=158 width=675) (actual time=0.016..0.170 rows=196 loops=1)

193. 0.210 0.210 ↓ 1.3 195 1

Seq Scan on datas_part_0000009021 (cost=0.00..47.54 rows=154 width=673) (actual time=0.017..0.210 rows=195 loops=1)

194. 0.240 0.240 ↓ 1.1 201 1

Seq Scan on datas_part_0000009022 (cost=0.00..33.81 rows=181 width=672) (actual time=0.045..0.240 rows=201 loops=1)

195. 0.220 0.220 ↓ 1.1 194 1

Seq Scan on datas_part_0000009023 (cost=0.00..30.74 rows=174 width=674) (actual time=0.040..0.220 rows=194 loops=1)

196. 0.224 0.224 ↓ 1.1 203 1

Seq Scan on datas_part_0000009024 (cost=0.00..39.84 rows=184 width=674) (actual time=0.040..0.224 rows=203 loops=1)

197. 0.209 0.209 ↓ 1.1 198 1

Seq Scan on datas_part_0000009025 (cost=0.00..34.76 rows=176 width=673) (actual time=0.036..0.209 rows=198 loops=1)

198. 0.181 0.181 ↓ 1.3 201 1

Seq Scan on datas_part_0000009026 (cost=0.00..34.58 rows=158 width=672) (actual time=0.018..0.181 rows=201 loops=1)

199. 0.173 0.173 ↓ 1.1 197 1

Seq Scan on datas_part_0000009027 (cost=0.00..26.83 rows=183 width=675) (actual time=0.018..0.173 rows=197 loops=1)

200. 0.179 0.179 ↓ 1.1 201 1

Seq Scan on datas_part_0000009028 (cost=0.00..29.84 rows=184 width=675) (actual time=0.017..0.179 rows=201 loops=1)

201. 0.243 0.243 ↓ 1.3 201 1

Seq Scan on datas_part_0000009029 (cost=0.00..47.58 rows=158 width=674) (actual time=0.016..0.243 rows=201 loops=1)

202. 0.196 0.196 ↓ 1.1 201 1

Seq Scan on datas_part_0000009030 (cost=0.00..36.78 rows=178 width=671) (actual time=0.021..0.196 rows=201 loops=1)

203. 0.195 0.195 ↓ 1.1 214 1

Seq Scan on datas_part_0000009031 (cost=0.00..39.88 rows=188 width=675) (actual time=0.018..0.195 rows=214 loops=1)

204. 0.187 0.187 ↓ 1.1 201 1

Seq Scan on datas_part_0000009032 (cost=0.00..29.84 rows=184 width=674) (actual time=0.017..0.187 rows=201 loops=1)

205. 0.225 0.225 ↓ 1.3 208 1

Seq Scan on datas_part_0000009033 (cost=0.00..56.63 rows=163 width=673) (actual time=0.017..0.225 rows=208 loops=1)

206. 0.218 0.218 ↓ 1.3 201 1

Seq Scan on datas_part_0000009034 (cost=0.00..48.57 rows=157 width=674) (actual time=0.017..0.218 rows=201 loops=1)

207. 0.199 0.199 ↓ 1.1 192 1

Seq Scan on datas_part_0000009035 (cost=0.00..27.76 rows=176 width=674) (actual time=0.017..0.199 rows=192 loops=1)

208. 0.208 0.208 ↑ 1.6 201 1

Seq Scan on datas_part_0000009036 (cost=0.00..47.31 rows=331 width=671) (actual time=0.017..0.208 rows=201 loops=1)

209. 0.201 0.201 ↓ 1.1 202 1

Seq Scan on datas_part_0000009037 (cost=0.00..38.77 rows=177 width=674) (actual time=0.025..0.201 rows=202 loops=1)

210. 0.180 0.180 ↓ 1.1 200 1

Seq Scan on datas_part_0000009038 (cost=0.00..37.77 rows=177 width=675) (actual time=0.016..0.180 rows=200 loops=1)

211. 0.163 0.163 ↓ 1.1 198 1

Seq Scan on datas_part_0000009039 (cost=0.00..29.84 rows=184 width=675) (actual time=0.015..0.163 rows=198 loops=1)

212. 0.189 0.189 ↓ 1.1 201 1

Seq Scan on datas_part_0000009040 (cost=0.00..39.77 rows=177 width=673) (actual time=0.016..0.189 rows=201 loops=1)

213. 0.207 0.207 ↓ 1.1 210 1

Seq Scan on datas_part_0000009041 (cost=0.00..42.88 rows=188 width=672) (actual time=0.016..0.207 rows=210 loops=1)

214. 0.177 0.177 ↓ 1.1 199 1

Seq Scan on datas_part_0000009042 (cost=0.00..29.82 rows=182 width=675) (actual time=0.018..0.177 rows=199 loops=1)

215. 0.194 0.194 ↓ 1.1 198 1

Seq Scan on datas_part_0000009043 (cost=0.00..34.80 rows=180 width=675) (actual time=0.017..0.194 rows=198 loops=1)

216. 0.182 0.182 ↓ 1.1 199 1

Seq Scan on datas_part_0000009044 (cost=0.00..32.79 rows=179 width=672) (actual time=0.016..0.182 rows=199 loops=1)

217. 0.214 0.214 ↓ 1.0 245 1

Seq Scan on datas_part_0000009045 (cost=0.00..42.42 rows=242 width=674) (actual time=0.016..0.214 rows=245 loops=1)

218. 0.187 0.187 ↓ 1.1 201 1

Seq Scan on datas_part_0000009046 (cost=0.00..40.76 rows=176 width=672) (actual time=0.018..0.187 rows=201 loops=1)

219. 0.186 0.186 ↓ 1.1 200 1

Seq Scan on datas_part_0000009047 (cost=0.00..39.75 rows=175 width=674) (actual time=0.017..0.186 rows=200 loops=1)

220. 0.167 0.167 ↓ 1.1 196 1

Seq Scan on datas_part_0000009048 (cost=0.00..29.82 rows=182 width=672) (actual time=0.015..0.167 rows=196 loops=1)

221. 0.191 0.191 ↓ 1.3 201 1

Seq Scan on datas_part_0000009049 (cost=0.00..46.58 rows=158 width=672) (actual time=0.015..0.191 rows=201 loops=1)

222. 0.197 0.197 ↓ 1.1 195 1

Seq Scan on datas_part_0000009050 (cost=0.00..30.79 rows=179 width=675) (actual time=0.014..0.197 rows=195 loops=1)

223. 0.185 0.185 ↓ 1.1 201 1

Seq Scan on datas_part_0000009051 (cost=0.00..38.77 rows=177 width=672) (actual time=0.015..0.185 rows=201 loops=1)

224. 0.192 0.192 ↓ 1.1 201 1

Seq Scan on datas_part_0000009052 (cost=0.00..32.81 rows=181 width=674) (actual time=0.019..0.192 rows=201 loops=1)

225. 0.189 0.189 ↓ 1.3 201 1

Seq Scan on datas_part_0000009053 (cost=0.00..24.58 rows=158 width=674) (actual time=0.036..0.189 rows=201 loops=1)

226. 0.292 0.292 ↑ 1.4 201 1

Seq Scan on datas_part_0000009054 (cost=0.00..57.90 rows=290 width=673) (actual time=0.036..0.292 rows=201 loops=1)

227. 16.464 16.464 ↓ 1.3 201 1

Seq Scan on datas_part_0000009056 (cost=0.00..51.58 rows=158 width=672) (actual time=0.018..16.464 rows=201 loops=1)

228. 0.192 0.192 ↓ 1.1 196 1

Seq Scan on datas_part_0000009057 (cost=0.00..27.81 rows=181 width=674) (actual time=0.018..0.192 rows=196 loops=1)

229. 0.172 0.172 ↓ 1.1 201 1

Seq Scan on datas_part_0000009058 (cost=0.00..26.88 rows=188 width=675) (actual time=0.015..0.172 rows=201 loops=1)

230. 0.229 0.229 ↓ 1.0 242 1

Seq Scan on datas_part_0000009059 (cost=0.00..48.39 rows=239 width=671) (actual time=0.017..0.229 rows=242 loops=1)

231. 0.144 0.144 ↓ 1.0 157 1

Seq Scan on datas_part_0000009061 (cost=0.00..29.54 rows=154 width=672) (actual time=0.015..0.144 rows=157 loops=1)

232. 0.150 0.150 ↓ 1.0 161 1

Seq Scan on datas_part_0000009062 (cost=0.00..28.58 rows=158 width=675) (actual time=0.017..0.150 rows=161 loops=1)

233. 0.211 0.211 ↓ 1.3 200 1

Seq Scan on datas_part_0000009063 (cost=0.00..49.57 rows=157 width=673) (actual time=0.014..0.211 rows=200 loops=1)

234. 12.178 12.178 ↓ 1.0 156 1

Seq Scan on datas_part_0000009064 (cost=0.00..21.54 rows=154 width=673) (actual time=12.059..12.178 rows=156 loops=1)

235. 0.162 0.162 ↓ 1.0 157 1

Seq Scan on datas_part_0000009066 (cost=0.00..31.54 rows=154 width=673) (actual time=0.033..0.162 rows=157 loops=1)

236. 0.145 0.145 ↓ 1.0 159 1

Seq Scan on datas_part_0000009067 (cost=0.00..33.56 rows=156 width=677) (actual time=0.014..0.145 rows=159 loops=1)

237. 0.143 0.143 ↑ 1.0 156 1

Seq Scan on datas_part_0000009068 (cost=0.00..33.56 rows=156 width=674) (actual time=0.015..0.143 rows=156 loops=1)

238. 0.148 0.148 ↓ 1.0 157 1

Seq Scan on datas_part_0000009069 (cost=0.00..36.54 rows=154 width=674) (actual time=0.015..0.148 rows=157 loops=1)

239. 4.764 4.764 ↓ 1.1 192 1

Seq Scan on datas_part_0000009070 (cost=0.00..34.72 rows=172 width=673) (actual time=0.035..4.764 rows=192 loops=1)

240. 0.239 0.239 ↓ 1.0 145 1

Index Scan using datas_part_0000009071_idaccount_idstatustype_ideventtype_id_idx on datas_part_0000009071 (cost=0.14..103.94 rows=142 width=671) (actual time=0.014..0.239 rows=145 loops=1)

241. 0.159 0.159 ↓ 1.0 157 1

Seq Scan on datas_part_0000009072 (cost=0.00..44.54 rows=154 width=673) (actual time=0.017..0.159 rows=157 loops=1)

242. 0.149 0.149 ↓ 1.0 157 1

Seq Scan on datas_part_0000009073 (cost=0.00..33.54 rows=154 width=674) (actual time=0.015..0.149 rows=157 loops=1)

243. 0.155 0.155 ↓ 1.0 157 1

Seq Scan on datas_part_0000009074 (cost=0.00..36.54 rows=154 width=675) (actual time=0.021..0.155 rows=157 loops=1)

244. 0.188 0.188 ↓ 1.3 198 1

Seq Scan on datas_part_0000009075 (cost=0.00..40.57 rows=157 width=674) (actual time=0.015..0.188 rows=198 loops=1)

245. 0.165 0.165 ↓ 1.0 153 1

Seq Scan on datas_part_0000009076 (cost=0.00..23.50 rows=150 width=672) (actual time=0.032..0.165 rows=153 loops=1)

246. 0.181 0.181 ↓ 1.0 154 1

Seq Scan on datas_part_0000009077 (cost=0.00..28.52 rows=152 width=675) (actual time=0.035..0.181 rows=154 loops=1)

247. 0.135 0.135 ↓ 1.0 156 1

Seq Scan on datas_part_0000009078 (cost=0.00..24.53 rows=153 width=674) (actual time=0.014..0.135 rows=156 loops=1)

248. 0.166 0.166 ↓ 1.3 187 1

Seq Scan on datas_part_0000009079 (cost=0.00..28.45 rows=145 width=674) (actual time=0.015..0.166 rows=187 loops=1)

249. 0.218 0.218 ↑ 1.5 199 1

Seq Scan on datas_part_0000009080 (cost=0.00..55.02 rows=302 width=675) (actual time=0.015..0.218 rows=199 loops=1)

250. 0.137 0.137 ↓ 1.0 152 1

Seq Scan on datas_part_0000009081 (cost=0.00..23.49 rows=149 width=675) (actual time=0.015..0.137 rows=152 loops=1)

251. 0.144 0.144 ↓ 1.0 161 1

Seq Scan on datas_part_0000009082 (cost=0.00..27.58 rows=158 width=672) (actual time=0.015..0.144 rows=161 loops=1)

252. 0.136 0.136 ↓ 1.0 156 1

Seq Scan on datas_part_0000009083 (cost=0.00..21.53 rows=153 width=678) (actual time=0.015..0.136 rows=156 loops=1)

253. 0.169 0.169 ↓ 1.0 157 1

Seq Scan on datas_part_0000009085 (cost=0.00..28.54 rows=154 width=674) (actual time=0.033..0.169 rows=157 loops=1)

254. 0.188 0.188 ↓ 1.0 157 1

Seq Scan on datas_part_0000009087 (cost=0.00..31.54 rows=154 width=673) (actual time=0.037..0.188 rows=157 loops=1)

255. 0.246 0.246 ↓ 1.1 195 1

Seq Scan on datas_part_0000009088 (cost=0.00..39.72 rows=172 width=672) (actual time=0.038..0.246 rows=195 loops=1)

256. 0.233 0.233 ↑ 2.7 176 1

Seq Scan on datas_part_0000009089 (cost=0.00..63.79 rows=479 width=675) (actual time=0.023..0.233 rows=176 loops=1)

257. 0.157 0.157 ↓ 1.1 188 1

Seq Scan on datas_part_0000009090 (cost=0.00..26.79 rows=179 width=673) (actual time=0.015..0.157 rows=188 loops=1)

258. 0.199 0.199 ↓ 1.3 195 1

Seq Scan on datas_part_0000009091 (cost=0.00..44.54 rows=154 width=674) (actual time=0.017..0.199 rows=195 loops=1)

259. 0.294 0.294 ↓ 1.1 191 1

Seq Scan on datas_part_0000009092 (cost=0.00..27.77 rows=177 width=675) (actual time=0.017..0.294 rows=191 loops=1)

260. 0.300 0.300 ↓ 1.1 190 1

Seq Scan on datas_part_0000009093 (cost=0.00..27.77 rows=177 width=675) (actual time=0.038..0.300 rows=190 loops=1)

261. 8.366 8.366 ↓ 1.1 188 1

Seq Scan on datas_part_0000009094 (cost=0.00..35.65 rows=165 width=674) (actual time=0.042..8.366 rows=188 loops=1)

262. 0.186 0.186 ↓ 1.3 188 1

Seq Scan on datas_part_0000009095 (cost=0.00..35.50 rows=150 width=675) (actual time=0.028..0.186 rows=188 loops=1)

263. 0.187 0.187 ↓ 1.1 188 1

Seq Scan on datas_part_0000009096 (cost=0.00..38.68 rows=168 width=673) (actual time=0.015..0.187 rows=188 loops=1)

264. 0.181 0.181 ↓ 1.1 193 1

Seq Scan on datas_part_0000009097 (cost=0.00..32.77 rows=177 width=673) (actual time=0.015..0.181 rows=193 loops=1)

265. 0.196 0.196 ↓ 1.1 194 1

Seq Scan on datas_part_0000009098 (cost=0.00..29.80 rows=180 width=675) (actual time=0.015..0.196 rows=194 loops=1)

266. 0.223 0.223 ↓ 1.1 193 1

Seq Scan on datas_part_0000009099 (cost=0.00..37.79 rows=179 width=673) (actual time=0.015..0.223 rows=193 loops=1)

267. 17.733 17.733 ↓ 1.1 187 1

Seq Scan on datas_part_0000009100 (cost=0.00..45.64 rows=164 width=677) (actual time=0.018..17.733 rows=187 loops=1)

268. 0.204 0.204 ↓ 1.1 191 1

Seq Scan on datas_part_0000009101 (cost=0.00..42.70 rows=170 width=677) (actual time=0.013..0.204 rows=191 loops=1)

269. 0.268 0.268 ↓ 1.1 191 1

Seq Scan on datas_part_0000009102 (cost=0.00..30.76 rows=176 width=675) (actual time=0.029..0.268 rows=191 loops=1)

270. 0.216 0.216 ↓ 1.1 190 1

Seq Scan on datas_part_0000009104 (cost=0.00..38.70 rows=170 width=676) (actual time=0.038..0.216 rows=190 loops=1)

271. 0.214 0.214 ↓ 1.1 188 1

Seq Scan on datas_part_0000009105 (cost=0.00..29.75 rows=175 width=674) (actual time=0.037..0.214 rows=188 loops=1)

272. 4.297 4.297 ↓ 1.0 187 1

Seq Scan on datas_part_0000009106 (cost=0.00..22.84 rows=184 width=675) (actual time=4.116..4.297 rows=187 loops=1)

273. 0.221 0.221 ↓ 1.1 186 1

Seq Scan on datas_part_0000009107 (cost=0.00..44.62 rows=162 width=677) (actual time=0.034..0.221 rows=186 loops=1)

274. 0.216 0.216 ↑ 1.7 182 1

Seq Scan on datas_part_0000009108 (cost=0.00..47.02 rows=302 width=674) (actual time=0.020..0.216 rows=182 loops=1)

275. 0.163 0.163 ↓ 1.2 181 1

Seq Scan on datas_part_0000009109 (cost=0.00..35.54 rows=154 width=674) (actual time=0.015..0.163 rows=181 loops=1)

276. 0.152 0.152 ↓ 1.1 146 1

Seq Scan on datas_part_0000009110 (cost=0.00..26.39 rows=139 width=669) (actual time=0.016..0.152 rows=146 loops=1)

277. 0.177 0.177 ↑ 1.1 193 1

Seq Scan on datas_part_0000009111 (cost=0.00..30.05 rows=205 width=675) (actual time=0.014..0.177 rows=193 loops=1)

278. 0.191 0.191 ↑ 1.0 149 1

Seq Scan on datas_part_0000009112 (cost=0.00..49.49 rows=149 width=675) (actual time=0.015..0.191 rows=149 loops=1)

279. 0.212 0.212 ↓ 1.3 188 1

Seq Scan on datas_part_0000009113 (cost=0.00..47.50 rows=150 width=675) (actual time=0.040..0.212 rows=188 loops=1)

280. 0.233 0.233 ↑ 1.0 226 1

Seq Scan on datas_part_0000009114 (cost=0.00..38.26 rows=226 width=674) (actual time=0.033..0.233 rows=226 loops=1)

281. 0.211 0.211 ↑ 1.1 180 1

Seq Scan on datas_part_0000009115 (cost=0.00..33.98 rows=198 width=675) (actual time=0.035..0.211 rows=180 loops=1)

282. 0.199 0.199 ↓ 1.1 188 1

Seq Scan on datas_part_0000009116 (cost=0.00..33.71 rows=171 width=675) (actual time=0.030..0.199 rows=188 loops=1)

283. 0.169 0.169 ↓ 1.0 186 1

Seq Scan on datas_part_0000009117 (cost=0.00..29.80 rows=180 width=672) (actual time=0.014..0.169 rows=186 loops=1)

284. 0.174 0.174 ↓ 1.0 183 1

Seq Scan on datas_part_0000009118 (cost=0.00..30.75 rows=175 width=674) (actual time=0.016..0.174 rows=183 loops=1)

285. 0.163 0.163 ↑ 1.0 187 1

Seq Scan on datas_part_0000009119 (cost=0.00..25.88 rows=188 width=674) (actual time=0.016..0.163 rows=187 loops=1)

286. 0.179 0.179 ↓ 1.0 189 1

Seq Scan on datas_part_0000009120 (cost=0.00..28.84 rows=184 width=673) (actual time=0.016..0.179 rows=189 loops=1)

287. 0.190 0.190 ↓ 1.1 186 1

Seq Scan on datas_part_0000009121 (cost=0.00..29.73 rows=173 width=675) (actual time=0.027..0.190 rows=186 loops=1)

288. 0.222 0.222 ↓ 1.3 188 1

Seq Scan on datas_part_0000009122 (cost=0.00..65.50 rows=150 width=675) (actual time=0.033..0.222 rows=188 loops=1)

289. 0.158 0.158 ↓ 1.3 187 1

Seq Scan on datas_part_0000009123 (cost=0.00..29.49 rows=149 width=674) (actual time=0.015..0.158 rows=187 loops=1)

290. 0.207 0.207 ↓ 1.3 191 1

Seq Scan on datas_part_0000009124 (cost=0.00..27.50 rows=150 width=673) (actual time=0.017..0.207 rows=191 loops=1)

291. 0.213 0.213 ↓ 1.3 195 1

Seq Scan on datas_part_0000009125 (cost=0.00..61.53 rows=153 width=675) (actual time=0.015..0.213 rows=195 loops=1)

292. 0.193 0.193 ↓ 1.3 191 1

Seq Scan on datas_part_0000009126 (cost=0.00..36.50 rows=150 width=673) (actual time=0.033..0.193 rows=191 loops=1)

293. 0.190 0.190 ↓ 1.3 198 1

Seq Scan on datas_part_0000009127 (cost=0.00..36.58 rows=158 width=673) (actual time=0.030..0.190 rows=198 loops=1)

294. 0.169 0.169 ↓ 1.1 184 1

Seq Scan on datas_part_0000009128 (cost=0.00..25.75 rows=175 width=674) (actual time=0.015..0.169 rows=184 loops=1)

295. 0.187 0.187 ↓ 1.1 193 1

Seq Scan on datas_part_0000009129 (cost=0.00..46.69 rows=169 width=674) (actual time=0.016..0.187 rows=193 loops=1)

296. 0.154 0.154 ↓ 1.1 192 1

Seq Scan on datas_part_0000009130 (cost=0.00..26.82 rows=182 width=674) (actual time=0.015..0.154 rows=192 loops=1)

297. 0.167 0.167 ↓ 1.1 188 1

Seq Scan on datas_part_0000009131 (cost=0.00..32.72 rows=172 width=674) (actual time=0.015..0.167 rows=188 loops=1)

298. 20.244 20.244 ↓ 1.0 162 1

Seq Scan on datas_part_0000009132 (cost=0.00..55.59 rows=159 width=672) (actual time=20.059..20.244 rows=162 loops=1)

299. 0.210 0.210 ↑ 1.0 189 1

Seq Scan on datas_part_0000009133 (cost=0.00..27.89 rows=189 width=672) (actual time=0.039..0.210 rows=189 loops=1)

300. 0.203 0.203 ↓ 1.1 193 1

Seq Scan on datas_part_0000009134 (cost=0.00..26.82 rows=182 width=673) (actual time=0.035..0.203 rows=193 loops=1)

301. 0.155 0.155 ↑ 1.0 148 1

Seq Scan on datas_part_0000009135 (cost=0.00..23.48 rows=148 width=672) (actual time=0.034..0.155 rows=148 loops=1)

302. 0.210 0.210 ↓ 1.3 201 1

Seq Scan on datas_part_0000009136 (cost=0.00..40.58 rows=158 width=672) (actual time=0.033..0.210 rows=201 loops=1)

303. 0.283 0.283 ↓ 1.0 242 1

Seq Scan on datas_part_0000009137 (cost=0.00..45.39 rows=239 width=671) (actual time=0.030..0.283 rows=242 loops=1)

304. 0.191 0.191 ↓ 1.3 203 1

Seq Scan on datas_part_0000009138 (cost=0.00..24.59 rows=159 width=673) (actual time=0.029..0.191 rows=203 loops=1)

305. 0.184 0.184 ↑ 1.0 187 1

Seq Scan on datas_part_0000009139 (cost=0.00..33.87 rows=187 width=677) (actual time=0.018..0.184 rows=187 loops=1)

306. 0.219 0.219 ↓ 1.2 184 1

Seq Scan on datas_part_0000009140 (cost=0.00..52.56 rows=156 width=677) (actual time=0.017..0.219 rows=184 loops=1)

307. 0.189 0.189 ↓ 1.1 197 1

Seq Scan on datas_part_0000009141 (cost=0.00..32.80 rows=180 width=674) (actual time=0.017..0.189 rows=197 loops=1)

308. 0.204 0.204 ↑ 1.0 233 1

Seq Scan on datas_part_0000009142 (cost=0.00..47.33 rows=233 width=671) (actual time=0.016..0.204 rows=233 loops=1)

309. 0.188 0.188 ↓ 1.1 195 1

Seq Scan on datas_part_0000009144 (cost=0.00..38.74 rows=174 width=676) (actual time=0.015..0.188 rows=195 loops=1)

310. 0.256 0.256 ↓ 1.1 193 1

Seq Scan on datas_part_0000009145 (cost=0.00..40.69 rows=169 width=671) (actual time=0.034..0.256 rows=193 loops=1)

311. 0.210 0.210 ↓ 1.0 195 1

Seq Scan on datas_part_0000009146 (cost=0.00..41.94 rows=194 width=672) (actual time=0.033..0.210 rows=195 loops=1)

312. 0.224 0.224 ↓ 1.1 198 1

Seq Scan on datas_part_0000009148 (cost=0.00..36.78 rows=178 width=672) (actual time=0.031..0.224 rows=198 loops=1)

313. 0.241 0.241 ↓ 1.3 200 1

Seq Scan on datas_part_0000009149 (cost=0.00..67.59 rows=159 width=672) (actual time=0.014..0.241 rows=200 loops=1)

314. 0.189 0.189 ↓ 1.1 192 1

Seq Scan on datas_part_0000009150 (cost=0.00..40.69 rows=169 width=671) (actual time=0.025..0.189 rows=192 loops=1)

315. 0.235 0.235 ↑ 1.3 191 1

Seq Scan on datas_part_0000009151 (cost=0.00..40.41 rows=241 width=676) (actual time=0.034..0.235 rows=191 loops=1)

316. 0.162 0.162 ↑ 1.0 158 1

Seq Scan on datas_part_0000009152 (cost=0.00..20.58 rows=158 width=672) (actual time=0.017..0.162 rows=158 loops=1)

317. 0.200 0.200 ↓ 1.1 198 1

Seq Scan on datas_part_0000009153 (cost=0.00..41.76 rows=176 width=672) (actual time=0.016..0.200 rows=198 loops=1)

318. 0.296 0.296 ↑ 1.0 239 1

Seq Scan on datas_part_0000009154 (cost=0.00..86.39 rows=239 width=671) (actual time=0.018..0.296 rows=239 loops=1)

319. 0.219 0.219 ↑ 1.2 198 1

Seq Scan on datas_part_0000009155 (cost=0.00..40.31 rows=231 width=675) (actual time=0.016..0.219 rows=198 loops=1)

320. 0.277 0.277 ↑ 1.5 197 1

Seq Scan on datas_part_0000009156 (cost=0.00..53.86 rows=286 width=674) (actual time=0.016..0.277 rows=197 loops=1)

321. 0.212 0.212 ↓ 1.1 197 1

Seq Scan on datas_part_0000009158 (cost=0.00..31.81 rows=181 width=675) (actual time=0.031..0.212 rows=197 loops=1)

322. 0.216 0.216 ↓ 1.3 195 1

Seq Scan on datas_part_0000009159 (cost=0.00..34.53 rows=153 width=672) (actual time=0.030..0.216 rows=195 loops=1)

323. 0.188 0.188 ↓ 1.0 199 1

Seq Scan on datas_part_0000009160 (cost=0.00..32.96 rows=196 width=678) (actual time=0.015..0.188 rows=199 loops=1)

324. 0.222 0.222 ↑ 1.0 239 1

Seq Scan on datas_part_0000009161 (cost=0.00..49.39 rows=239 width=672) (actual time=0.019..0.222 rows=239 loops=1)

325. 0.203 0.203 ↓ 1.1 197 1

Seq Scan on datas_part_0000009162 (cost=0.00..30.82 rows=182 width=674) (actual time=0.034..0.203 rows=197 loops=1)

326. 0.216 0.216 ↓ 1.1 198 1

Seq Scan on datas_part_0000009163 (cost=0.00..36.78 rows=178 width=675) (actual time=0.036..0.216 rows=198 loops=1)

327. 0.212 0.212 ↑ 1.2 198 1

Seq Scan on datas_part_0000009164 (cost=0.00..34.41 rows=241 width=673) (actual time=0.038..0.212 rows=198 loops=1)

328. 0.174 0.174 ↓ 1.1 195 1

Seq Scan on datas_part_0000009165 (cost=0.00..31.81 rows=181 width=674) (actual time=0.016..0.174 rows=195 loops=1)

329. 0.166 0.166 ↑ 1.1 162 1

Seq Scan on datas_part_0000009166 (cost=0.00..24.85 rows=185 width=672) (actual time=0.019..0.166 rows=162 loops=1)

330. 0.241 0.241 ↑ 1.0 155 1

Seq Scan on datas_part_0000009167 (cost=0.00..56.55 rows=155 width=672) (actual time=0.032..0.241 rows=155 loops=1)

331. 0.206 0.206 ↓ 1.1 200 1

Seq Scan on datas_part_0000009168 (cost=0.00..40.76 rows=176 width=670) (actual time=0.015..0.206 rows=200 loops=1)

332. 0.196 0.196 ↓ 1.0 195 1

Seq Scan on datas_part_0000009169 (cost=0.00..25.86 rows=186 width=672) (actual time=0.035..0.196 rows=195 loops=1)

333. 0.210 0.210 ↓ 1.0 198 1

Seq Scan on datas_part_0000009170 (cost=0.00..24.91 rows=191 width=671) (actual time=0.038..0.210 rows=198 loops=1)

334. 0.171 0.171 ↓ 1.1 196 1

Seq Scan on datas_part_0000009171 (cost=0.00..31.80 rows=180 width=675) (actual time=0.016..0.171 rows=196 loops=1)

335. 0.234 0.234 ↓ 1.1 199 1

Seq Scan on datas_part_0000009172 (cost=0.00..40.77 rows=177 width=676) (actual time=0.016..0.234 rows=199 loops=1)

336. 0.196 0.196 ↓ 1.3 202 1

Seq Scan on datas_part_0000009173 (cost=0.00..25.59 rows=159 width=672) (actual time=0.020..0.196 rows=202 loops=1)

337. 0.198 0.198 ↓ 1.3 202 1

Seq Scan on datas_part_0000009174 (cost=0.00..46.59 rows=159 width=676) (actual time=0.016..0.198 rows=202 loops=1)

338. 0.192 0.192 ↓ 1.1 199 1

Seq Scan on datas_part_0000009175 (cost=0.00..41.77 rows=177 width=672) (actual time=0.021..0.192 rows=199 loops=1)

339. 0.241 0.241 ↓ 1.3 202 1

Seq Scan on datas_part_0000009176 (cost=0.00..52.59 rows=159 width=676) (actual time=0.031..0.241 rows=202 loops=1)

340. 0.207 0.207 ↓ 1.1 199 1

Seq Scan on datas_part_0000009178 (cost=0.00..41.77 rows=177 width=674) (actual time=0.019..0.207 rows=199 loops=1)

341. 0.188 0.188 ↓ 1.1 198 1

Seq Scan on datas_part_0000009179 (cost=0.00..27.87 rows=187 width=673) (actual time=0.019..0.188 rows=198 loops=1)

342. 0.196 0.196 ↓ 1.1 197 1

Seq Scan on datas_part_0000009180 (cost=0.00..37.79 rows=179 width=672) (actual time=0.017..0.196 rows=197 loops=1)

343. 0.249 0.249 ↓ 1.1 202 1

Seq Scan on datas_part_0000009181 (cost=0.00..39.78 rows=178 width=676) (actual time=0.036..0.249 rows=202 loops=1)

344. 0.168 0.168 ↓ 1.1 199 1

Seq Scan on datas_part_0000009182 (cost=0.00..36.80 rows=180 width=675) (actual time=0.015..0.168 rows=199 loops=1)

345. 0.196 0.196 ↓ 1.3 199 1

Seq Scan on datas_part_0000009183 (cost=0.00..42.59 rows=159 width=673) (actual time=0.030..0.196 rows=199 loops=1)

346. 0.162 0.162 ↓ 1.1 199 1

Seq Scan on datas_part_0000009184 (cost=0.00..27.88 rows=188 width=673) (actual time=0.015..0.162 rows=199 loops=1)

347. 0.177 0.177 ↓ 1.1 201 1

Seq Scan on datas_part_0000009185 (cost=0.00..38.78 rows=178 width=675) (actual time=0.015..0.177 rows=201 loops=1)

348. 0.185 0.185 ↓ 1.1 196 1

Seq Scan on datas_part_0000009186 (cost=0.00..40.74 rows=174 width=673) (actual time=0.015..0.185 rows=196 loops=1)

349. 18.006 18.006 ↑ 1.0 235 1

Seq Scan on datas_part_0000009187 (cost=0.00..41.35 rows=235 width=676) (actual time=0.021..18.006 rows=235 loops=1)

350. 0.174 0.174 ↓ 1.1 199 1

Seq Scan on datas_part_0000009188 (cost=0.00..34.81 rows=181 width=673) (actual time=0.015..0.174 rows=199 loops=1)

351. 0.181 0.181 ↓ 1.1 199 1

Seq Scan on datas_part_0000009189 (cost=0.00..39.78 rows=178 width=672) (actual time=0.016..0.181 rows=199 loops=1)

352. 0.205 0.205 ↓ 1.3 199 1

Seq Scan on datas_part_0000009190 (cost=0.00..56.56 rows=156 width=676) (actual time=0.015..0.205 rows=199 loops=1)

353. 0.172 0.172 ↓ 1.1 198 1

Seq Scan on datas_part_0000009191 (cost=0.00..32.81 rows=181 width=674) (actual time=0.016..0.172 rows=198 loops=1)

354. 0.183 0.183 ↓ 1.1 195 1

Seq Scan on datas_part_0000009192 (cost=0.00..42.72 rows=172 width=676) (actual time=0.016..0.183 rows=195 loops=1)

355. 0.159 0.159 ↓ 1.1 183 1

Seq Scan on datas_part_0000009193 (cost=0.00..33.63 rows=163 width=675) (actual time=0.016..0.159 rows=183 loops=1)

356. 0.025 0.025 ↓ 3.0 3 1

Seq Scan on datas_part_0000009195 (cost=0.00..1.01 rows=1 width=654) (actual time=0.024..0.025 rows=3 loops=1)

357. 0.237 0.237 ↑ 1.3 239 1

Seq Scan on datas_part_0000009196 (cost=0.00..57.07 rows=307 width=673) (actual time=0.012..0.237 rows=239 loops=1)

358. 3.959 3.959 ↑ 1.0 226 1

Seq Scan on datas_part_0000009197 (cost=0.00..41.26 rows=226 width=672) (actual time=0.024..3.959 rows=226 loops=1)

359. 0.208 0.208 ↑ 1.6 199 1

Seq Scan on datas_part_0000009198 (cost=0.00..53.18 rows=318 width=675) (actual time=0.018..0.208 rows=199 loops=1)

360. 0.170 0.170 ↓ 1.3 199 1

Seq Scan on datas_part_0000009199 (cost=0.00..26.58 rows=158 width=673) (actual time=0.019..0.170 rows=199 loops=1)

361. 54.895 54.895 ↓ 1.1 199 1

Seq Scan on datas_part_0000009200 (cost=0.00..32.83 rows=183 width=674) (actual time=0.020..54.895 rows=199 loops=1)

362. 0.205 0.205 ↓ 1.1 199 1

Seq Scan on datas_part_0000009201 (cost=0.00..43.76 rows=176 width=675) (actual time=0.040..0.205 rows=199 loops=1)

363. 0.216 0.216 ↑ 1.4 199 1

Seq Scan on datas_part_0000009202 (cost=0.00..52.84 rows=284 width=672) (actual time=0.037..0.216 rows=199 loops=1)

364. 0.195 0.195 ↓ 1.1 199 1

Seq Scan on datas_part_0000009203 (cost=0.00..45.75 rows=175 width=675) (actual time=0.017..0.195 rows=199 loops=1)

365. 0.206 0.206 ↑ 1.0 232 1

Seq Scan on datas_part_0000009204 (cost=0.00..33.32 rows=232 width=674) (actual time=0.021..0.206 rows=232 loops=1)

366. 0.185 0.185 ↓ 1.1 199 1

Seq Scan on datas_part_0000009205 (cost=0.00..28.87 rows=187 width=673) (actual time=0.020..0.185 rows=199 loops=1)

367. 0.259 0.259 ↑ 1.0 239 1

Seq Scan on datas_part_0000009207 (cost=0.00..48.39 rows=239 width=675) (actual time=0.037..0.259 rows=239 loops=1)

368. 0.181 0.181 ↓ 1.1 199 1

Seq Scan on datas_part_0000009208 (cost=0.00..30.84 rows=184 width=675) (actual time=0.016..0.181 rows=199 loops=1)

369. 0.157 0.157 ↓ 1.0 161 1

Seq Scan on datas_part_0000009209 (cost=0.00..28.58 rows=158 width=675) (actual time=0.017..0.157 rows=161 loops=1)

370. 0.201 0.201 ↓ 1.1 198 1

Seq Scan on datas_part_0000009210 (cost=0.00..42.75 rows=175 width=675) (actual time=0.014..0.201 rows=198 loops=1)

371. 0.163 0.163 ↓ 1.1 199 1

Seq Scan on datas_part_0000009211 (cost=0.00..28.87 rows=187 width=673) (actual time=0.016..0.163 rows=199 loops=1)

372. 0.183 0.183 ↓ 1.1 199 1

Seq Scan on datas_part_0000009212 (cost=0.00..37.76 rows=176 width=676) (actual time=0.016..0.183 rows=199 loops=1)

373. 0.178 0.178 ↓ 1.0 157 1

Seq Scan on datas_part_0000009213 (cost=0.00..44.54 rows=154 width=674) (actual time=0.016..0.178 rows=157 loops=1)

374. 0.209 0.209 ↓ 1.0 161 1

Seq Scan on datas_part_0000009214 (cost=0.00..52.58 rows=158 width=674) (actual time=0.041..0.209 rows=161 loops=1)

375. 0.166 0.166 ↓ 1.0 161 1

Seq Scan on datas_part_0000009215 (cost=0.00..28.58 rows=158 width=674) (actual time=0.040..0.166 rows=161 loops=1)

376. 0.131 0.131 ↓ 1.0 156 1

Seq Scan on datas_part_0000009216 (cost=0.00..25.54 rows=154 width=667) (actual time=0.014..0.131 rows=156 loops=1)

377. 0.268 0.268 ↓ 1.0 161 1

Seq Scan on datas_part_0000009217 (cost=0.00..55.57 rows=157 width=673) (actual time=0.015..0.268 rows=161 loops=1)

378. 0.158 0.158 ↓ 1.0 161 1

Seq Scan on datas_part_0000009218 (cost=0.00..28.57 rows=157 width=673) (actual time=0.017..0.158 rows=161 loops=1)

379. 0.152 0.152 ↓ 1.0 165 1

Seq Scan on datas_part_0000009219 (cost=0.00..26.61 rows=161 width=671) (actual time=0.016..0.152 rows=165 loops=1)

380. 0.154 0.154 ↓ 1.0 159 1

Seq Scan on datas_part_0000009220 (cost=0.00..29.55 rows=155 width=676) (actual time=0.018..0.154 rows=159 loops=1)

381. 0.158 0.158 ↓ 1.0 161 1

Seq Scan on datas_part_0000009221 (cost=0.00..36.57 rows=157 width=673) (actual time=0.017..0.158 rows=161 loops=1)

382. 0.133 0.133 ↓ 1.0 144 1

Seq Scan on datas_part_0000009222 (cost=0.00..24.39 rows=139 width=672) (actual time=0.015..0.133 rows=144 loops=1)

383. 0.171 0.171 ↓ 1.0 161 1

Seq Scan on datas_part_0000009223 (cost=0.00..44.58 rows=158 width=673) (actual time=0.015..0.171 rows=161 loops=1)

384. 0.152 0.152 ↓ 1.0 160 1

Seq Scan on datas_part_0000009224 (cost=0.00..34.57 rows=157 width=676) (actual time=0.017..0.152 rows=160 loops=1)

385. 0.139 0.139 ↓ 1.0 161 1

Seq Scan on datas_part_0000009225 (cost=0.00..26.58 rows=158 width=674) (actual time=0.016..0.139 rows=161 loops=1)

386. 0.133 0.133 ↓ 1.0 150 1

Seq Scan on datas_part_0000009226 (cost=0.00..26.47 rows=147 width=674) (actual time=0.016..0.133 rows=150 loops=1)

387. 0.213 0.213 ↓ 1.3 197 1

Seq Scan on datas_part_0000009227 (cost=0.00..37.55 rows=155 width=672) (actual time=0.016..0.213 rows=197 loops=1)

388. 0.171 0.171 ↓ 1.3 195 1

Seq Scan on datas_part_0000009228 (cost=0.00..35.53 rows=153 width=674) (actual time=0.016..0.171 rows=195 loops=1)

389. 0.136 0.136 ↓ 1.0 161 1

Seq Scan on datas_part_0000009229 (cost=0.00..29.58 rows=158 width=673) (actual time=0.015..0.136 rows=161 loops=1)

390. 0.138 0.138 ↓ 1.0 157 1

Seq Scan on datas_part_0000009230 (cost=0.00..22.54 rows=154 width=673) (actual time=0.014..0.138 rows=157 loops=1)

391. 0.202 0.202 ↓ 1.1 201 1

Seq Scan on datas_part_0000009231 (cost=0.00..44.79 rows=179 width=671) (actual time=0.015..0.202 rows=201 loops=1)

392. 0.127 0.127 ↓ 1.0 156 1

Seq Scan on datas_part_0000009232 (cost=0.00..21.53 rows=153 width=673) (actual time=0.015..0.127 rows=156 loops=1)

393. 0.144 0.144 ↓ 1.0 161 1

Seq Scan on datas_part_0000009234 (cost=0.00..30.58 rows=158 width=674) (actual time=0.015..0.144 rows=161 loops=1)

394. 0.132 0.132 ↓ 1.0 158 1

Seq Scan on datas_part_0000009235 (cost=0.00..23.56 rows=156 width=672) (actual time=0.015..0.132 rows=158 loops=1)

395. 0.143 0.143 ↓ 1.0 160 1

Seq Scan on datas_part_0000009236 (cost=0.00..30.58 rows=158 width=673) (actual time=0.017..0.143 rows=160 loops=1)

396. 0.131 0.131 ↓ 1.0 154 1

Seq Scan on datas_part_0000009237 (cost=0.00..24.51 rows=151 width=673) (actual time=0.015..0.131 rows=154 loops=1)

397. 0.129 0.129 ↓ 1.0 157 1

Seq Scan on datas_part_0000009238 (cost=0.00..23.54 rows=154 width=673) (actual time=0.014..0.129 rows=157 loops=1)

398. 0.154 0.154 ↓ 1.0 160 1

Seq Scan on datas_part_0000009239 (cost=0.00..37.57 rows=157 width=673) (actual time=0.014..0.154 rows=160 loops=1)

399. 0.126 0.126 ↓ 1.0 151 1

Seq Scan on datas_part_0000009240 (cost=0.00..21.49 rows=149 width=676) (actual time=0.016..0.126 rows=151 loops=1)

400. 0.133 0.133 ↓ 1.0 158 1

Seq Scan on datas_part_0000009241 (cost=0.00..26.55 rows=155 width=673) (actual time=0.014..0.133 rows=158 loops=1)

401. 0.143 0.143 ↓ 1.0 158 1

Seq Scan on datas_part_0000009242 (cost=0.00..33.55 rows=155 width=674) (actual time=0.015..0.143 rows=158 loops=1)

402. 0.167 0.167 ↓ 1.0 161 1

Seq Scan on datas_part_0000009243 (cost=0.00..39.58 rows=158 width=675) (actual time=0.015..0.167 rows=161 loops=1)

403. 0.171 0.171 ↓ 1.1 202 1

Seq Scan on datas_part_0000009244 (cost=0.00..29.86 rows=186 width=674) (actual time=0.016..0.171 rows=202 loops=1)

404. 0.185 0.185 ↓ 1.0 165 1

Seq Scan on datas_part_0000009245 (cost=0.00..57.62 rows=162 width=674) (actual time=0.015..0.185 rows=165 loops=1)

405. 0.136 0.136 ↓ 1.0 160 1

Seq Scan on datas_part_0000009246 (cost=0.00..25.57 rows=157 width=673) (actual time=0.016..0.136 rows=160 loops=1)

406. 0.400 0.400 ↓ 1.0 160 1

Seq Scan on datas_part_0000009247 (cost=0.00..52.58 rows=158 width=673) (actual time=0.016..0.400 rows=160 loops=1)

407. 0.180 0.180 ↓ 1.0 162 1

Seq Scan on datas_part_0000009248 (cost=0.00..32.59 rows=159 width=675) (actual time=0.039..0.180 rows=162 loops=1)

408. 0.153 0.153 ↓ 1.0 161 1

Seq Scan on datas_part_0000009249 (cost=0.00..27.58 rows=158 width=673) (actual time=0.016..0.153 rows=161 loops=1)

409. 0.226 0.226 ↓ 1.0 157 1

Seq Scan on datas_part_0000009250 (cost=0.00..27.54 rows=154 width=672) (actual time=0.016..0.226 rows=157 loops=1)

410. 0.174 0.174 ↓ 1.0 158 1

Seq Scan on datas_part_0000009251 (cost=0.00..28.55 rows=155 width=673) (actual time=0.042..0.174 rows=158 loops=1)

411. 0.186 0.186 ↓ 1.0 161 1

Seq Scan on datas_part_0000009252 (cost=0.00..45.58 rows=158 width=674) (actual time=0.037..0.186 rows=161 loops=1)

412. 13.222 13.222 ↓ 1.0 163 1

Seq Scan on datas_part_0000009253 (cost=0.00..43.60 rows=160 width=675) (actual time=0.033..13.222 rows=163 loops=1)

413. 0.190 0.190 ↑ 1.0 187 1

Seq Scan on datas_part_0000009254 (cost=0.00..24.87 rows=187 width=664) (actual time=0.024..0.190 rows=187 loops=1)

414. 0.253 0.253 ↓ 1.3 201 1

Seq Scan on datas_part_0000009255 (cost=0.00..64.58 rows=158 width=674) (actual time=0.037..0.253 rows=201 loops=1)

415. 0.238 0.238 ↓ 1.0 239 1

Seq Scan on datas_part_0000009256 (cost=0.00..57.36 rows=236 width=671) (actual time=0.036..0.238 rows=239 loops=1)

416. 0.189 0.189 ↓ 1.1 191 1

Seq Scan on datas_part_0000009257 (cost=0.00..40.72 rows=172 width=673) (actual time=0.016..0.189 rows=191 loops=1)

417. 0.205 0.205 ↓ 1.2 195 1

Seq Scan on datas_part_0000009258 (cost=0.00..45.68 rows=168 width=671) (actual time=0.015..0.205 rows=195 loops=1)

418. 0.215 0.215 ↓ 1.0 229 1

Seq Scan on datas_part_0000009259 (cost=0.00..38.26 rows=226 width=671) (actual time=0.015..0.215 rows=229 loops=1)

419. 0.174 0.174 ↑ 1.0 154 1

Seq Scan on datas_part_0000009260 (cost=0.00..25.54 rows=154 width=673) (actual time=0.017..0.174 rows=154 loops=1)

420. 0.201 0.201 ↓ 1.1 201 1

Seq Scan on datas_part_0000009261 (cost=0.00..42.75 rows=175 width=672) (actual time=0.016..0.201 rows=201 loops=1)

421. 0.229 0.229 ↑ 1.2 193 1

Seq Scan on datas_part_0000009262 (cost=0.00..47.39 rows=239 width=672) (actual time=0.017..0.229 rows=193 loops=1)

422. 0.236 0.236 ↓ 1.1 195 1

Seq Scan on datas_part_0000009263 (cost=0.00..27.83 rows=183 width=675) (actual time=0.040..0.236 rows=195 loops=1)

423. 0.167 0.167 ↓ 1.0 154 1

Seq Scan on datas_part_0000009264 (cost=0.00..28.53 rows=153 width=672) (actual time=0.033..0.167 rows=154 loops=1)

424. 0.300 0.300 ↑ 1.1 189 1

Seq Scan on datas_part_0000009265 (cost=0.00..52.03 rows=203 width=674) (actual time=0.030..0.300 rows=189 loops=1)

425. 0.191 0.191 ↓ 1.1 196 1

Seq Scan on datas_part_0000009266 (cost=0.00..30.79 rows=179 width=675) (actual time=0.018..0.191 rows=196 loops=1)

426. 0.182 0.182 ↓ 1.1 198 1

Seq Scan on datas_part_0000009267 (cost=0.00..37.83 rows=183 width=675) (actual time=0.017..0.182 rows=198 loops=1)

427. 0.240 0.240 ↓ 1.1 194 1

Seq Scan on datas_part_0000009268 (cost=0.00..46.69 rows=169 width=673) (actual time=0.016..0.240 rows=194 loops=1)

428. 0.198 0.198 ↓ 1.0 151 1

Seq Scan on datas_part_0000009269 (cost=0.00..24.47 rows=147 width=677) (actual time=0.031..0.198 rows=151 loops=1)

429. 0.269 0.269 ↑ 1.0 242 1

Seq Scan on datas_part_0000009270 (cost=0.00..49.42 rows=242 width=667) (actual time=0.030..0.269 rows=242 loops=1)

430. 0.194 0.194 ↓ 1.1 195 1

Seq Scan on datas_part_0000009271 (cost=0.00..31.75 rows=175 width=675) (actual time=0.037..0.194 rows=195 loops=1)

431. 0.182 0.182 ↓ 1.3 193 1

Seq Scan on datas_part_0000009272 (cost=0.00..40.54 rows=154 width=672) (actual time=0.017..0.182 rows=193 loops=1)

432. 0.190 0.190 ↓ 1.1 199 1

Seq Scan on datas_part_0000009273 (cost=0.00..41.77 rows=177 width=673) (actual time=0.017..0.190 rows=199 loops=1)

433. 0.177 0.177 ↓ 1.1 199 1

Seq Scan on datas_part_0000009274 (cost=0.00..40.77 rows=177 width=673) (actual time=0.016..0.177 rows=199 loops=1)

434. 0.163 0.163 ↓ 1.3 197 1

Seq Scan on datas_part_0000009275 (cost=0.00..24.57 rows=157 width=676) (actual time=0.015..0.163 rows=197 loops=1)

435. 0.199 0.199 ↓ 1.1 197 1

Seq Scan on datas_part_0000009276 (cost=0.00..45.73 rows=173 width=674) (actual time=0.016..0.199 rows=197 loops=1)

436. 0.199 0.199 ↓ 1.0 219 1

Seq Scan on datas_part_0000009277 (cost=0.00..29.16 rows=216 width=672) (actual time=0.015..0.199 rows=219 loops=1)

437. 0.256 0.256 ↑ 2.2 198 1

Seq Scan on datas_part_0000009278 (cost=0.00..70.34 rows=434 width=674) (actual time=0.016..0.256 rows=198 loops=1)

438. 0.229 0.229 ↓ 1.3 198 1

Seq Scan on datas_part_0000009279 (cost=0.00..87.58 rows=158 width=674) (actual time=0.015..0.229 rows=198 loops=1)

439. 0.133 0.133 ↑ 1.0 154 1

Seq Scan on datas_part_0000009280 (cost=0.00..28.54 rows=154 width=672) (actual time=0.016..0.133 rows=154 loops=1)

440. 0.199 0.199 ↑ 1.0 236 1

Seq Scan on datas_part_0000009281 (cost=0.00..33.36 rows=236 width=665) (actual time=0.015..0.199 rows=236 loops=1)

441. 0.205 0.205 ↓ 1.1 196 1

Seq Scan on datas_part_0000009282 (cost=0.00..44.74 rows=174 width=672) (actual time=0.015..0.205 rows=196 loops=1)

442. 0.218 0.218 ↓ 1.0 190 1

Seq Scan on datas_part_0000009283 (cost=0.00..27.82 rows=182 width=673) (actual time=0.015..0.218 rows=190 loops=1)

443. 0.250 0.250 ↓ 1.0 230 1

Seq Scan on datas_part_0000009284 (cost=0.00..76.29 rows=229 width=667) (actual time=0.016..0.250 rows=230 loops=1)

444. 0.203 0.203 ↓ 1.2 187 1

Seq Scan on datas_part_0000009285 (cost=0.00..48.54 rows=154 width=674) (actual time=0.017..0.203 rows=187 loops=1)

445. 0.257 0.257 ↑ 1.3 198 1

Seq Scan on datas_part_0000009286 (cost=0.00..48.51 rows=251 width=674) (actual time=0.043..0.257 rows=198 loops=1)

446. 0.216 0.216 ↓ 1.1 193 1

Seq Scan on datas_part_0000009287 (cost=0.00..30.79 rows=179 width=674) (actual time=0.036..0.216 rows=193 loops=1)

447. 0.171 0.171 ↑ 1.0 179 1

Seq Scan on datas_part_0000009288 (cost=0.00..39.79 rows=179 width=674) (actual time=0.022..0.171 rows=179 loops=1)

448. 0.231 0.231 ↓ 1.3 186 1

Seq Scan on datas_part_0000009289 (cost=0.00..78.47 rows=147 width=674) (actual time=0.035..0.231 rows=186 loops=1)

449. 0.168 0.168 ↑ 1.0 154 1

Seq Scan on datas_part_0000009291 (cost=0.00..24.54 rows=154 width=672) (actual time=0.031..0.168 rows=154 loops=1)

450. 0.213 0.213 ↓ 1.1 197 1

Seq Scan on datas_part_0000009292 (cost=0.00..36.74 rows=174 width=674) (actual time=0.032..0.213 rows=197 loops=1)

451. 0.232 0.232 ↓ 1.0 160 1

Seq Scan on datas_part_0000009293 (cost=0.00..91.57 rows=157 width=673) (actual time=0.032..0.232 rows=160 loops=1)

452. 0.222 0.222 ↓ 1.2 190 1

Seq Scan on datas_part_0000009294 (cost=0.00..41.64 rows=164 width=668) (actual time=0.033..0.222 rows=190 loops=1)

453. 0.184 0.184 ↑ 1.0 158 1

Seq Scan on datas_part_0000009295 (cost=0.00..34.58 rows=158 width=673) (actual time=0.025..0.184 rows=158 loops=1)

454. 0.238 0.238 ↓ 1.3 196 1

Seq Scan on datas_part_0000009296 (cost=0.00..34.56 rows=156 width=673) (actual time=0.043..0.238 rows=196 loops=1)

455. 0.261 0.261 ↓ 1.1 200 1

Seq Scan on datas_part_0000009297 (cost=0.00..36.77 rows=177 width=672) (actual time=0.031..0.261 rows=200 loops=1)

456. 0.158 0.158 ↓ 1.0 162 1

Seq Scan on datas_part_0000009298 (cost=0.00..29.58 rows=158 width=674) (actual time=0.032..0.158 rows=162 loops=1)

457. 0.219 0.219 ↓ 1.1 191 1

Seq Scan on datas_part_0000009299 (cost=0.00..42.67 rows=167 width=673) (actual time=0.034..0.219 rows=191 loops=1)

458. 0.189 0.189 ↓ 1.2 195 1

Seq Scan on datas_part_0000009300 (cost=0.00..35.69 rows=169 width=671) (actual time=0.033..0.189 rows=195 loops=1)

459. 0.234 0.234 ↓ 1.1 188 1

Seq Scan on datas_part_0000009301 (cost=0.00..37.66 rows=166 width=676) (actual time=0.033..0.234 rows=188 loops=1)

460. 0.195 0.195 ↓ 1.3 193 1

Seq Scan on datas_part_0000009302 (cost=0.00..27.50 rows=150 width=672) (actual time=0.040..0.195 rows=193 loops=1)

461. 0.261 0.261 ↑ 1.2 238 1

Seq Scan on datas_part_0000009303 (cost=0.00..51.76 rows=276 width=675) (actual time=0.037..0.261 rows=238 loops=1)

462. 0.205 0.205 ↓ 1.1 201 1

Seq Scan on datas_part_0000009304 (cost=0.00..28.84 rows=184 width=673) (actual time=0.039..0.205 rows=201 loops=1)

463. 0.219 0.219 ↓ 1.3 201 1

Seq Scan on datas_part_0000009305 (cost=0.00..66.58 rows=158 width=672) (actual time=0.017..0.219 rows=201 loops=1)

464. 0.202 0.202 ↓ 1.1 199 1

Seq Scan on datas_part_0000009306 (cost=0.00..33.85 rows=185 width=673) (actual time=0.017..0.202 rows=199 loops=1)

465. 0.306 0.306 ↓ 1.3 193 1

Seq Scan on datas_part_0000009307 (cost=0.00..51.50 rows=150 width=674) (actual time=0.016..0.306 rows=193 loops=1)

466. 0.278 0.278 ↓ 1.1 201 1

Seq Scan on datas_part_0000009309 (cost=0.00..32.88 rows=188 width=671) (actual time=0.018..0.278 rows=201 loops=1)

467. 0.182 0.182 ↓ 1.3 200 1

Seq Scan on datas_part_0000009310 (cost=0.00..26.58 rows=158 width=673) (actual time=0.017..0.182 rows=200 loops=1)

468. 0.195 0.195 ↓ 1.1 197 1

Seq Scan on datas_part_0000009311 (cost=0.00..31.81 rows=181 width=675) (actual time=0.020..0.195 rows=197 loops=1)

469. 0.215 0.215 ↓ 1.3 198 1

Seq Scan on datas_part_0000009312 (cost=0.00..47.56 rows=156 width=674) (actual time=0.031..0.215 rows=198 loops=1)

470. 0.238 0.238 ↑ 1.4 198 1

Seq Scan on datas_part_0000009313 (cost=0.00..57.72 rows=272 width=671) (actual time=0.034..0.238 rows=198 loops=1)

471. 0.178 0.178 ↓ 1.3 201 1

Seq Scan on datas_part_0000009314 (cost=0.00..27.58 rows=158 width=673) (actual time=0.016..0.178 rows=201 loops=1)

472. 0.220 0.220 ↓ 1.3 203 1

Seq Scan on datas_part_0000009315 (cost=0.00..45.59 rows=159 width=675) (actual time=0.015..0.220 rows=203 loops=1)

473. 0.245 0.245 ↓ 1.1 201 1

Seq Scan on datas_part_0000009316 (cost=0.00..28.85 rows=185 width=674) (actual time=0.015..0.245 rows=201 loops=1)

474. 0.204 0.204 ↓ 1.1 206 1

Seq Scan on datas_part_0000009317 (cost=0.00..31.94 rows=194 width=673) (actual time=0.015..0.204 rows=206 loops=1)

475. 0.212 0.212 ↓ 1.1 208 1

Seq Scan on datas_part_0000009318 (cost=0.00..36.97 rows=197 width=674) (actual time=0.015..0.212 rows=208 loops=1)

476. 0.138 0.138 ↑ 1.0 151 1

Seq Scan on datas_part_0000009319 (cost=0.00..25.51 rows=151 width=673) (actual time=0.015..0.138 rows=151 loops=1)

477. 0.228 0.228 ↓ 1.1 233 1

Seq Scan on datas_part_0000009320 (cost=0.00..44.14 rows=214 width=679) (actual time=0.022..0.228 rows=233 loops=1)

478. 0.163 0.163 ↓ 1.0 160 1

Seq Scan on datas_part_0000009321 (cost=0.00..41.57 rows=157 width=675) (actual time=0.018..0.163 rows=160 loops=1)

479. 0.195 0.195 ↓ 1.0 201 1

Seq Scan on datas_part_0000009322 (cost=0.00..27.96 rows=196 width=672) (actual time=0.016..0.195 rows=201 loops=1)

480. 0.225 0.225 ↓ 1.1 201 1

Seq Scan on datas_part_0000009323 (cost=0.00..43.79 rows=179 width=673) (actual time=0.018..0.225 rows=201 loops=1)

481. 0.296 0.296 ↓ 1.1 196 1

Seq Scan on datas_part_0000009324 (cost=0.00..28.81 rows=181 width=674) (actual time=0.036..0.296 rows=196 loops=1)

482. 16.488 16.488 ↓ 1.1 200 1

Seq Scan on datas_part_0000009325 (cost=0.00..34.85 rows=185 width=674) (actual time=0.034..16.488 rows=200 loops=1)

483. 0.227 0.227 ↓ 1.3 201 1

Seq Scan on datas_part_0000009326 (cost=0.00..48.58 rows=158 width=673) (actual time=0.017..0.227 rows=201 loops=1)

484. 0.200 0.200 ↓ 1.1 196 1

Seq Scan on datas_part_0000009327 (cost=0.00..30.79 rows=179 width=674) (actual time=0.022..0.200 rows=196 loops=1)

485. 0.192 0.192 ↓ 1.1 196 1

Seq Scan on datas_part_0000009328 (cost=0.00..33.76 rows=176 width=674) (actual time=0.035..0.192 rows=196 loops=1)

486. 0.176 0.176 ↓ 1.1 193 1

Seq Scan on datas_part_0000009329 (cost=0.00..26.83 rows=183 width=673) (actual time=0.025..0.176 rows=193 loops=1)

487. 0.193 0.193 ↓ 1.1 201 1

Seq Scan on datas_part_0000009330 (cost=0.00..38.77 rows=177 width=675) (actual time=0.031..0.193 rows=201 loops=1)

488. 0.214 0.214 ↓ 1.1 197 1

Seq Scan on datas_part_0000009331 (cost=0.00..36.74 rows=174 width=675) (actual time=0.029..0.214 rows=197 loops=1)

489. 0.229 0.229 ↓ 1.0 201 1

Seq Scan on datas_part_0000009332 (cost=0.00..27.96 rows=196 width=675) (actual time=0.041..0.229 rows=201 loops=1)

490. 0.213 0.213 ↓ 1.1 196 1

Seq Scan on datas_part_0000009333 (cost=0.00..33.76 rows=176 width=673) (actual time=0.034..0.213 rows=196 loops=1)

491. 0.211 0.211 ↓ 1.3 193 1

Seq Scan on datas_part_0000009334 (cost=0.00..40.51 rows=151 width=673) (actual time=0.030..0.211 rows=193 loops=1)

492. 0.224 0.224 ↓ 1.3 194 1

Seq Scan on datas_part_0000009335 (cost=0.00..25.52 rows=152 width=674) (actual time=0.070..0.224 rows=194 loops=1)

493. 0.224 0.224 ↓ 1.1 206 1

Seq Scan on datas_part_0000009336 (cost=0.00..41.85 rows=185 width=674) (actual time=0.017..0.224 rows=206 loops=1)

494. 0.201 0.201 ↓ 1.0 187 1

Seq Scan on datas_part_0000009337 (cost=0.00..25.79 rows=179 width=672) (actual time=0.034..0.201 rows=187 loops=1)

495. 0.248 0.248 ↓ 1.1 193 1

Seq Scan on datas_part_0000009338 (cost=0.00..31.78 rows=178 width=674) (actual time=0.034..0.248 rows=193 loops=1)

496. 0.250 0.250 ↓ 1.0 201 1

Seq Scan on datas_part_0000009339 (cost=0.00..30.99 rows=199 width=675) (actual time=0.042..0.250 rows=201 loops=1)

497. 0.228 0.228 ↓ 1.1 201 1

Seq Scan on datas_part_0000009340 (cost=0.00..41.81 rows=181 width=675) (actual time=0.025..0.228 rows=201 loops=1)

498. 0.230 0.230 ↓ 1.1 196 1

Seq Scan on datas_part_0000009341 (cost=0.00..31.78 rows=178 width=672) (actual time=0.017..0.230 rows=196 loops=1)

499. 0.223 0.223 ↓ 1.3 188 1

Seq Scan on datas_part_0000009342 (cost=0.00..68.50 rows=150 width=670) (actual time=0.017..0.223 rows=188 loops=1)

500. 0.213 0.213 ↓ 1.1 193 1

Seq Scan on datas_part_0000009343 (cost=0.00..26.83 rows=183 width=673) (actual time=0.016..0.213 rows=193 loops=1)

501. 0.208 0.208 ↓ 1.1 193 1

Seq Scan on datas_part_0000009344 (cost=0.00..37.73 rows=173 width=673) (actual time=0.037..0.208 rows=193 loops=1)

502. 0.182 0.182 ↓ 1.3 200 1

Seq Scan on datas_part_0000009345 (cost=0.00..40.57 rows=157 width=676) (actual time=0.015..0.182 rows=200 loops=1)

503. 0.211 0.211 ↓ 1.1 201 1

Seq Scan on datas_part_0000009346 (cost=0.00..32.88 rows=188 width=672) (actual time=0.016..0.211 rows=201 loops=1)

504. 8.267 8.267 ↓ 1.3 198 1

Seq Scan on datas_part_0000009347 (cost=0.00..52.58 rows=158 width=675) (actual time=0.016..8.267 rows=198 loops=1)

505. 0.240 0.240 ↑ 1.4 191 1

Seq Scan on datas_part_0000009348 (cost=0.00..55.72 rows=272 width=674) (actual time=0.017..0.240 rows=191 loops=1)

506. 0.202 0.202 ↓ 1.1 191 1

Seq Scan on datas_part_0000009349 (cost=0.00..41.68 rows=168 width=673) (actual time=0.016..0.202 rows=191 loops=1)

507. 0.398 0.398 ↓ 1.1 196 1

Seq Scan on datas_part_0000009350 (cost=0.00..33.76 rows=176 width=673) (actual time=0.016..0.398 rows=196 loops=1)

508. 0.187 0.187 ↓ 1.1 201 1

Seq Scan on datas_part_0000009351 (cost=0.00..33.87 rows=187 width=673) (actual time=0.015..0.187 rows=201 loops=1)

509. 0.220 0.220 ↓ 1.3 203 1

Seq Scan on datas_part_0000009352 (cost=0.00..60.60 rows=160 width=674) (actual time=0.015..0.220 rows=203 loops=1)

510. 0.187 0.187 ↑ 1.0 199 1

Seq Scan on datas_part_0000009353 (cost=0.00..30.00 rows=200 width=678) (actual time=0.016..0.187 rows=199 loops=1)

511. 0.133 0.133 ↓ 1.0 153 1

Seq Scan on datas_part_0000009354 (cost=0.00..23.51 rows=151 width=670) (actual time=0.016..0.133 rows=153 loops=1)

512. 0.171 0.171 ↓ 1.3 200 1

Seq Scan on datas_part_0000009355 (cost=0.00..25.57 rows=157 width=678) (actual time=0.016..0.171 rows=200 loops=1)

513. 0.144 0.144 ↑ 1.0 135 1

Seq Scan on datas_part_0000009356 (cost=0.00..25.35 rows=135 width=664) (actual time=0.028..0.144 rows=135 loops=1)

514. 0.194 0.194 ↓ 1.3 200 1

Seq Scan on datas_part_0000009357 (cost=0.00..34.58 rows=158 width=675) (actual time=0.016..0.194 rows=200 loops=1)

515. 0.216 0.216 ↓ 1.3 196 1

Seq Scan on datas_part_0000009358 (cost=0.00..40.54 rows=154 width=671) (actual time=0.028..0.216 rows=196 loops=1)

516. 0.285 0.285 ↓ 1.3 201 1

Seq Scan on datas_part_0000009359 (cost=0.00..106.58 rows=158 width=673) (actual time=0.022..0.285 rows=201 loops=1)

517. 0.151 0.151 ↓ 1.0 158 1

Seq Scan on datas_part_0000009360 (cost=0.00..26.55 rows=155 width=674) (actual time=0.018..0.151 rows=158 loops=1)

518. 0.144 0.144 ↓ 1.0 159 1

Seq Scan on datas_part_0000009361 (cost=0.00..29.57 rows=157 width=675) (actual time=0.017..0.144 rows=159 loops=1)

519. 0.277 0.277 ↓ 1.0 165 1

Seq Scan on datas_part_0000009362 (cost=0.00..43.62 rows=162 width=676) (actual time=0.015..0.277 rows=165 loops=1)

520. 0.189 0.189 ↓ 1.0 161 1

Seq Scan on datas_part_0000009363 (cost=0.00..24.58 rows=158 width=676) (actual time=0.031..0.189 rows=161 loops=1)

521. 0.199 0.199 ↓ 1.1 197 1

Seq Scan on datas_part_0000009364 (cost=0.00..32.78 rows=178 width=672) (actual time=0.016..0.199 rows=197 loops=1)

522. 0.152 0.152 ↓ 1.0 161 1

Seq Scan on datas_part_0000009365 (cost=0.00..33.58 rows=158 width=675) (actual time=0.015..0.152 rows=161 loops=1)

523. 0.139 0.139 ↓ 1.0 161 1

Seq Scan on datas_part_0000009366 (cost=0.00..22.58 rows=158 width=674) (actual time=0.014..0.139 rows=161 loops=1)

524. 0.135 0.135 ↓ 1.0 156 1

Seq Scan on datas_part_0000009367 (cost=0.00..24.54 rows=154 width=672) (actual time=0.016..0.135 rows=156 loops=1)

525. 0.133 0.133 ↓ 1.0 153 1

Seq Scan on datas_part_0000009368 (cost=0.00..26.51 rows=151 width=670) (actual time=0.015..0.133 rows=153 loops=1)

526. 0.160 0.160 ↓ 1.0 161 1

Seq Scan on datas_part_0000009369 (cost=0.00..47.58 rows=158 width=676) (actual time=0.014..0.160 rows=161 loops=1)

527. 0.139 0.139 ↓ 1.0 161 1

Seq Scan on datas_part_0000009370 (cost=0.00..27.58 rows=158 width=674) (actual time=0.015..0.139 rows=161 loops=1)

528. 0.130 0.130 ↓ 1.0 157 1

Seq Scan on datas_part_0000009371 (cost=0.00..25.54 rows=154 width=675) (actual time=0.014..0.130 rows=157 loops=1)

529. 0.178 0.178 ↓ 1.0 161 1

Seq Scan on datas_part_0000009372 (cost=0.00..50.58 rows=158 width=676) (actual time=0.015..0.178 rows=161 loops=1)

530. 0.178 0.178 ↓ 1.0 161 1

Seq Scan on datas_part_0000009373 (cost=0.00..59.58 rows=158 width=676) (actual time=0.016..0.178 rows=161 loops=1)

531. 0.177 0.177 ↓ 1.1 192 1

Seq Scan on datas_part_0000009374 (cost=0.00..38.75 rows=175 width=670) (actual time=0.014..0.177 rows=192 loops=1)

532. 0.143 0.143 ↓ 1.0 159 1

Seq Scan on datas_part_0000009375 (cost=0.00..26.56 rows=156 width=672) (actual time=0.015..0.143 rows=159 loops=1)

533. 0.191 0.191 ↓ 1.3 201 1

Seq Scan on datas_part_0000009376 (cost=0.00..33.58 rows=158 width=673) (actual time=0.015..0.191 rows=201 loops=1)

534. 0.190 0.190 ↓ 1.0 161 1

Seq Scan on datas_part_0000009377 (cost=0.00..43.58 rows=158 width=676) (actual time=0.016..0.190 rows=161 loops=1)

535. 0.117 0.117 ↓ 1.1 133 1

Seq Scan on datas_part_0000009378 (cost=0.00..16.21 rows=121 width=673) (actual time=0.014..0.117 rows=133 loops=1)

536. 0.144 0.144 ↑ 1.0 155 1

Seq Scan on datas_part_0000009379 (cost=0.00..26.55 rows=155 width=677) (actual time=0.017..0.144 rows=155 loops=1)

537. 0.205 0.205 ↓ 1.1 194 1

Seq Scan on datas_part_0000009380 (cost=0.00..42.77 rows=177 width=675) (actual time=0.016..0.205 rows=194 loops=1)

538. 0.142 0.142 ↓ 1.0 152 1

Seq Scan on datas_part_0000009381 (cost=0.00..21.50 rows=150 width=671) (actual time=0.021..0.142 rows=152 loops=1)

539. 0.148 0.148 ↓ 1.0 161 1

Seq Scan on datas_part_0000009382 (cost=0.00..23.58 rows=158 width=672) (actual time=0.026..0.148 rows=161 loops=1)

540. 0.181 0.181 ↓ 1.1 195 1

Seq Scan on datas_part_0000009383 (cost=0.00..41.76 rows=176 width=672) (actual time=0.015..0.181 rows=195 loops=1)

541. 0.152 0.152 ↓ 1.0 161 1

Seq Scan on datas_part_0000009384 (cost=0.00..23.58 rows=158 width=676) (actual time=0.031..0.152 rows=161 loops=1)

542. 0.160 0.160 ↓ 1.0 161 1

Seq Scan on datas_part_0000009385 (cost=0.00..26.58 rows=158 width=676) (actual time=0.030..0.160 rows=161 loops=1)

543. 0.190 0.190 ↓ 1.0 161 1

Seq Scan on datas_part_0000009386 (cost=0.00..29.58 rows=158 width=676) (actual time=0.044..0.190 rows=161 loops=1)

544. 0.164 0.164 ↓ 1.0 160 1

Seq Scan on datas_part_0000009388 (cost=0.00..30.58 rows=158 width=676) (actual time=0.031..0.164 rows=160 loops=1)

545. 0.158 0.158 ↓ 1.0 165 1

Seq Scan on datas_part_0000009395 (cost=0.00..28.62 rows=162 width=673) (actual time=0.015..0.158 rows=165 loops=1)

546. 0.173 0.173 ↓ 1.1 186 1

Seq Scan on datas_part_0000009397 (cost=0.00..22.72 rows=172 width=674) (actual time=0.028..0.173 rows=186 loops=1)

547. 0.239 0.239 ↓ 1.0 242 1

Seq Scan on datas_part_0000009398 (cost=0.00..50.39 rows=239 width=674) (actual time=0.019..0.239 rows=242 loops=1)

548. 0.191 0.191 ↓ 1.1 201 1

Seq Scan on datas_part_0000009399 (cost=0.00..34.80 rows=180 width=674) (actual time=0.016..0.191 rows=201 loops=1)

549. 0.168 0.168 ↓ 1.0 157 1

Seq Scan on datas_part_0000009400 (cost=0.00..40.54 rows=154 width=673) (actual time=0.017..0.168 rows=157 loops=1)

550. 0.139 0.139 ↓ 1.0 149 1

Seq Scan on datas_part_0000009401 (cost=0.00..28.46 rows=146 width=673) (actual time=0.016..0.139 rows=149 loops=1)

551. 12.189 12.189 ↓ 1.0 156 1

Seq Scan on datas_part_0000009402 (cost=0.00..29.53 rows=153 width=674) (actual time=12.049..12.189 rows=156 loops=1)

552. 0.148 0.148 ↓ 1.0 152 1

Seq Scan on datas_part_0000009403 (cost=0.00..23.49 rows=149 width=674) (actual time=0.018..0.148 rows=152 loops=1)

553. 0.161 0.161 ↓ 1.0 156 1

Seq Scan on datas_part_0000009404 (cost=0.00..25.51 rows=151 width=674) (actual time=0.017..0.161 rows=156 loops=1)

554. 0.162 0.162 ↓ 1.0 157 1

Seq Scan on datas_part_0000009405 (cost=0.00..24.54 rows=154 width=674) (actual time=0.018..0.162 rows=157 loops=1)

555. 0.169 0.169 ↓ 1.0 157 1

Seq Scan on datas_part_0000009406 (cost=0.00..23.54 rows=154 width=674) (actual time=0.035..0.169 rows=157 loops=1)

556. 0.197 0.197 ↓ 1.0 184 1

Seq Scan on datas_part_0000009408 (cost=0.00..28.79 rows=179 width=675) (actual time=0.030..0.197 rows=184 loops=1)

557. 0.220 0.220 ↓ 1.3 203 1

Seq Scan on datas_part_0000009409 (cost=0.00..45.62 rows=162 width=673) (actual time=0.017..0.220 rows=203 loops=1)

558. 0.174 0.174 ↓ 1.1 187 1

Seq Scan on datas_part_0000009410 (cost=0.00..25.70 rows=170 width=674) (actual time=0.031..0.174 rows=187 loops=1)

559. 0.217 0.217 ↑ 1.4 193 1

Seq Scan on datas_part_0000009411 (cost=0.00..39.70 rows=270 width=672) (actual time=0.032..0.217 rows=193 loops=1)

560. 0.178 0.178 ↓ 1.1 197 1

Seq Scan on datas_part_0000009412 (cost=0.00..26.87 rows=187 width=675) (actual time=0.016..0.178 rows=197 loops=1)

561. 7.217 7.217 ↓ 1.3 197 1

Seq Scan on datas_part_0000009421 (cost=0.00..47.57 rows=157 width=678) (actual time=0.022..7.217 rows=197 loops=1)

562. 0.177 0.177 ↓ 1.0 161 1

Seq Scan on datas_part_0000009422 (cost=0.00..34.58 rows=158 width=674) (actual time=0.035..0.177 rows=161 loops=1)

563. 0.348 0.348 ↓ 1.0 197 1

Seq Scan on datas_part_0000009423 (cost=0.00..22.94 rows=194 width=673) (actual time=0.037..0.348 rows=197 loops=1)

564. 0.241 0.241 ↓ 1.1 199 1

Seq Scan on datas_part_0000009424 (cost=0.00..38.78 rows=178 width=673) (actual time=0.031..0.241 rows=199 loops=1)

565. 0.168 0.168 ↓ 1.1 198 1

Seq Scan on datas_part_0000009426 (cost=0.00..31.82 rows=182 width=674) (actual time=0.016..0.168 rows=198 loops=1)

566. 0.141 0.141 ↓ 1.0 161 1

Seq Scan on datas_part_0000009427 (cost=0.00..31.58 rows=158 width=672) (actual time=0.016..0.141 rows=161 loops=1)

567. 0.200 0.200 ↓ 1.1 193 1

Seq Scan on datas_part_0000009428 (cost=0.00..43.69 rows=169 width=674) (actual time=0.013..0.200 rows=193 loops=1)

568. 0.138 0.138 ↓ 1.0 161 1

Seq Scan on datas_part_0000009429 (cost=0.00..24.58 rows=158 width=673) (actual time=0.015..0.138 rows=161 loops=1)

569. 0.143 0.143 ↓ 1.0 161 1

Seq Scan on datas_part_0000009431 (cost=0.00..28.58 rows=158 width=676) (actual time=0.014..0.143 rows=161 loops=1)

570. 0.186 0.186 ↓ 1.3 194 1

Seq Scan on datas_part_0000009437 (cost=0.00..39.54 rows=154 width=673) (actual time=0.014..0.186 rows=194 loops=1)

571. 0.251 0.251 ↓ 1.0 157 1

Seq Scan on datas_part_0000009438 (cost=0.00..26.54 rows=154 width=672) (actual time=0.015..0.251 rows=157 loops=1)

572. 0.338 0.338 ↓ 1.0 165 1

Seq Scan on datas_part_0000009439 (cost=0.00..29.62 rows=162 width=673) (actual time=0.026..0.338 rows=165 loops=1)

573. 0.148 0.148 ↓ 1.0 161 1

Seq Scan on datas_part_0000009440 (cost=0.00..31.58 rows=158 width=676) (actual time=0.017..0.148 rows=161 loops=1)

574. 0.208 0.208 ↓ 1.0 197 1

Seq Scan on datas_part_0000009441 (cost=0.00..26.96 rows=196 width=675) (actual time=0.032..0.208 rows=197 loops=1)

575. 0.206 0.206 ↓ 1.1 218 1

Seq Scan on datas_part_0000009442 (cost=0.00..43.93 rows=193 width=679) (actual time=0.017..0.206 rows=218 loops=1)

576. 1.261 1.261 ↓ 1.1 198 1

Seq Scan on datas_part_0000009443 (cost=0.00..35.79 rows=179 width=673) (actual time=0.030..1.261 rows=198 loops=1)

577. 0.153 0.153 ↓ 1.0 149 1

Seq Scan on datas_part_0000009444 (cost=0.00..21.46 rows=146 width=675) (actual time=0.029..0.153 rows=149 loops=1)

578. 0.208 0.208 ↓ 1.0 195 1

Seq Scan on datas_part_0000009448 (cost=0.00..25.87 rows=187 width=672) (actual time=0.020..0.208 rows=195 loops=1)

579. 0.204 0.204 ↓ 1.1 193 1

Seq Scan on datas_part_0000009449 (cost=0.00..32.77 rows=177 width=674) (actual time=0.040..0.204 rows=193 loops=1)

580. 0.188 0.188 ↓ 1.0 196 1

Seq Scan on datas_part_0000009450 (cost=0.00..24.89 rows=189 width=675) (actual time=0.039..0.188 rows=196 loops=1)

581. 0.163 0.163 ↓ 1.0 147 1

Seq Scan on datas_part_0000009451 (cost=0.00..24.44 rows=144 width=677) (actual time=0.039..0.163 rows=147 loops=1)

582. 0.217 0.217 ↓ 1.0 148 1

Seq Scan on datas_part_0000009452 (cost=0.00..21.45 rows=145 width=670) (actual time=0.033..0.217 rows=148 loops=1)

583. 0.148 0.148 ↓ 1.0 154 1

Seq Scan on datas_part_0000009453 (cost=0.00..33.51 rows=151 width=674) (actual time=0.019..0.148 rows=154 loops=1)

584. 0.216 0.216 ↓ 1.2 193 1

Seq Scan on datas_part_0000009454 (cost=0.00..39.67 rows=167 width=676) (actual time=0.040..0.216 rows=193 loops=1)

585. 0.233 0.233 ↑ 1.0 241 1

Seq Scan on datas_part_0000009455 (cost=0.00..33.41 rows=241 width=665) (actual time=0.038..0.233 rows=241 loops=1)

586. 0.135 0.135 ↓ 1.0 160 1

Seq Scan on datas_part_0000009456 (cost=0.00..24.57 rows=157 width=674) (actual time=0.014..0.135 rows=160 loops=1)

587. 0.141 0.141 ↓ 1.0 162 1

Seq Scan on datas_part_0000009457 (cost=0.00..25.59 rows=159 width=676) (actual time=0.016..0.141 rows=162 loops=1)

588. 0.151 0.151 ↓ 1.0 156 1

Seq Scan on datas_part_0000009458 (cost=0.00..26.53 rows=153 width=672) (actual time=0.015..0.151 rows=156 loops=1)

589. 0.178 0.178 ↓ 1.1 199 1

Seq Scan on datas_part_0000009459 (cost=0.00..36.80 rows=180 width=674) (actual time=0.016..0.178 rows=199 loops=1)

590. 0.122 0.122 ↓ 1.0 153 1

Seq Scan on datas_part_0000009460 (cost=0.00..18.50 rows=150 width=674) (actual time=0.014..0.122 rows=153 loops=1)

591. 0.219 0.219 ↑ 1.0 239 1

Seq Scan on datas_part_0000009461 (cost=0.00..41.39 rows=239 width=671) (actual time=0.014..0.219 rows=239 loops=1)

592. 0.192 0.192 ↓ 1.1 198 1

Seq Scan on datas_part_0000009462 (cost=0.00..43.75 rows=175 width=673) (actual time=0.017..0.192 rows=198 loops=1)

593. 0.196 0.196 ↑ 1.4 197 1

Seq Scan on datas_part_0000009463 (cost=0.00..36.67 rows=267 width=678) (actual time=0.016..0.196 rows=197 loops=1)

594. 0.137 0.137 ↓ 1.0 161 1

Seq Scan on datas_part_0000009464 (cost=0.00..27.57 rows=157 width=676) (actual time=0.018..0.137 rows=161 loops=1)

595. 0.154 0.154 ↓ 1.0 161 1

Seq Scan on datas_part_0000009465 (cost=0.00..43.58 rows=158 width=673) (actual time=0.014..0.154 rows=161 loops=1)

596. 14.118 14.118 ↓ 1.1 200 1

Seq Scan on datas_part_0000009466 (cost=0.00..29.83 rows=183 width=673) (actual time=0.015..14.118 rows=200 loops=1)

597. 0.194 0.194 ↓ 1.1 198 1

Seq Scan on datas_part_0000009467 (cost=0.00..34.86 rows=186 width=673) (actual time=0.019..0.194 rows=198 loops=1)

598. 0.189 0.189 ↓ 1.1 199 1

Seq Scan on datas_part_0000009468 (cost=0.00..40.82 rows=182 width=676) (actual time=0.018..0.189 rows=199 loops=1)

599. 0.144 0.144 ↓ 1.0 148 1

Seq Scan on datas_part_0000009469 (cost=0.00..26.45 rows=145 width=672) (actual time=0.017..0.144 rows=148 loops=1)

600. 0.191 0.191 ↓ 1.0 161 1

Seq Scan on datas_part_0000009470 (cost=0.00..47.58 rows=158 width=675) (actual time=0.031..0.191 rows=161 loops=1)

601. 0.257 0.257 ↓ 1.0 161 1

Seq Scan on datas_part_0000009472 (cost=0.00..37.58 rows=158 width=675) (actual time=0.034..0.257 rows=161 loops=1)

602. 0.202 0.202 ↓ 1.3 201 1

Seq Scan on datas_part_0000009473 (cost=0.00..34.58 rows=158 width=672) (actual time=0.026..0.202 rows=201 loops=1)

603. 0.206 0.206 ↓ 1.1 200 1

Seq Scan on datas_part_0000009474 (cost=0.00..36.80 rows=180 width=676) (actual time=0.034..0.206 rows=200 loops=1)

604. 0.199 0.199 ↓ 1.1 191 1

Seq Scan on datas_part_0000009475 (cost=0.00..34.72 rows=172 width=675) (actual time=0.036..0.199 rows=191 loops=1)

605. 0.179 0.179 ↓ 1.1 198 1

Seq Scan on datas_part_0000009476 (cost=0.00..26.88 rows=188 width=673) (actual time=0.032..0.179 rows=198 loops=1)

606. 0.186 0.186 ↓ 1.1 198 1

Seq Scan on datas_part_0000009477 (cost=0.00..34.79 rows=179 width=676) (actual time=0.031..0.186 rows=198 loops=1)

607. 0.220 0.220 ↓ 1.1 198 1

Seq Scan on datas_part_0000009479 (cost=0.00..40.80 rows=180 width=676) (actual time=0.032..0.220 rows=198 loops=1)

608. 0.277 0.277 ↑ 2.5 197 1

Seq Scan on datas_part_0000009480 (cost=0.00..96.98 rows=498 width=673) (actual time=0.031..0.277 rows=197 loops=1)

609. 0.190 0.190 ↓ 1.1 201 1

Seq Scan on datas_part_0000009481 (cost=0.00..31.86 rows=186 width=673) (actual time=0.032..0.190 rows=201 loops=1)

610. 0.133 0.133 ↓ 1.0 158 1

Seq Scan on datas_part_0000009482 (cost=0.00..22.56 rows=156 width=673) (actual time=0.016..0.133 rows=158 loops=1)

611. 0.192 0.192 ↓ 1.1 199 1

Seq Scan on datas_part_0000009483 (cost=0.00..32.81 rows=181 width=672) (actual time=0.026..0.192 rows=199 loops=1)

612. 0.211 0.211 ↓ 1.1 201 1

Seq Scan on datas_part_0000009484 (cost=0.00..31.86 rows=186 width=675) (actual time=0.015..0.211 rows=201 loops=1)

613. 0.279 0.279 ↓ 1.1 195 1

Seq Scan on datas_part_0000009485 (cost=0.00..30.81 rows=181 width=674) (actual time=0.016..0.279 rows=195 loops=1)

614. 0.174 0.174 ↓ 1.1 192 1

Seq Scan on datas_part_0000009486 (cost=0.00..25.82 rows=182 width=675) (actual time=0.018..0.174 rows=192 loops=1)

615. 0.223 0.223 ↓ 1.0 160 1

Seq Scan on datas_part_0000009487 (cost=0.00..23.57 rows=157 width=675) (actual time=0.026..0.223 rows=160 loops=1)

616. 0.160 0.160 ↓ 1.0 160 1

Seq Scan on datas_part_0000009488 (cost=0.00..26.57 rows=157 width=676) (actual time=0.035..0.160 rows=160 loops=1)

617. 0.148 0.148 ↓ 1.0 162 1

Seq Scan on datas_part_0000009489 (cost=0.00..36.59 rows=159 width=676) (actual time=0.015..0.148 rows=162 loops=1)

618. 0.189 0.189 ↓ 1.1 203 1

Seq Scan on datas_part_0000009490 (cost=0.00..32.90 rows=190 width=672) (actual time=0.015..0.189 rows=203 loops=1)

619. 0.241 0.241 ↓ 1.0 198 1

Seq Scan on datas_part_0000009491 (cost=0.00..23.93 rows=193 width=673) (actual time=0.016..0.241 rows=198 loops=1)

620. 0.146 0.146 ↓ 1.0 161 1

Seq Scan on datas_part_0000009492 (cost=0.00..21.58 rows=158 width=676) (actual time=0.016..0.146 rows=161 loops=1)

621. 0.180 0.180 ↓ 1.3 186 1

Seq Scan on datas_part_0000009493 (cost=0.00..34.46 rows=146 width=675) (actual time=0.022..0.180 rows=186 loops=1)

622. 0.238 0.238 ↓ 1.1 201 1

Seq Scan on datas_part_0000009494 (cost=0.00..40.79 rows=179 width=673) (actual time=0.040..0.238 rows=201 loops=1)

623. 0.170 0.170 ↓ 1.0 160 1

Seq Scan on datas_part_0000009495 (cost=0.00..29.58 rows=158 width=676) (actual time=0.035..0.170 rows=160 loops=1)

624. 0.172 0.172 ↓ 1.1 199 1

Seq Scan on datas_part_0000009496 (cost=0.00..37.79 rows=179 width=675) (actual time=0.016..0.172 rows=199 loops=1)

625. 0.242 0.242 ↓ 1.1 201 1

Seq Scan on datas_part_0000009497 (cost=0.00..45.82 rows=182 width=674) (actual time=0.018..0.242 rows=201 loops=1)

626. 0.187 0.187 ↓ 1.3 201 1

Seq Scan on datas_part_0000009498 (cost=0.00..24.58 rows=158 width=675) (actual time=0.029..0.187 rows=201 loops=1)

627. 0.234 0.234 ↓ 1.1 201 1

Seq Scan on datas_part_0000009499 (cost=0.00..37.83 rows=183 width=675) (actual time=0.038..0.234 rows=201 loops=1)

628. 0.583 0.583 ↑ 1.0 242 1

Seq Scan on datas_part_0000009500 (cost=0.00..44.42 rows=242 width=673) (actual time=0.017..0.583 rows=242 loops=1)

629. 0.235 0.235 ↑ 1.0 245 1

Seq Scan on datas_part_0000009501 (cost=0.00..54.45 rows=245 width=671) (actual time=0.015..0.235 rows=245 loops=1)

630. 0.176 0.176 ↓ 1.1 198 1

Seq Scan on datas_part_0000009502 (cost=0.00..42.75 rows=175 width=676) (actual time=0.016..0.176 rows=198 loops=1)

631. 0.188 0.188 ↓ 1.3 198 1

Seq Scan on datas_part_0000009503 (cost=0.00..40.58 rows=158 width=675) (actual time=0.015..0.188 rows=198 loops=1)

632. 0.233 0.233 ↓ 1.0 248 1

Seq Scan on datas_part_0000009504 (cost=0.00..51.44 rows=244 width=672) (actual time=0.013..0.233 rows=248 loops=1)

633. 0.149 0.149 ↓ 1.0 156 1

Seq Scan on datas_part_0000009505 (cost=0.00..46.53 rows=153 width=678) (actual time=0.008..0.149 rows=156 loops=1)

634. 0.210 0.210 ↓ 1.1 199 1

Seq Scan on datas_part_0000009506 (cost=0.00..45.75 rows=175 width=674) (actual time=0.007..0.210 rows=199 loops=1)

635. 0.193 0.193 ↓ 1.1 207 1

Seq Scan on datas_part_0000009507 (cost=0.00..38.83 rows=183 width=674) (actual time=0.009..0.193 rows=207 loops=1)

636. 0.172 0.172 ↓ 1.0 157 1

Seq Scan on datas_part_0000009508 (cost=0.00..43.53 rows=153 width=672) (actual time=0.007..0.172 rows=157 loops=1)

637. 0.211 0.211 ↓ 1.1 205 1

Seq Scan on datas_part_0000009510 (cost=0.00..44.84 rows=184 width=673) (actual time=0.007..0.211 rows=205 loops=1)

638. 0.137 0.137 ↓ 1.0 161 1

Seq Scan on datas_part_0000009511 (cost=0.00..25.57 rows=157 width=673) (actual time=0.008..0.137 rows=161 loops=1)

639. 0.135 0.135 ↑ 1.0 148 1

Seq Scan on datas_part_0000009512 (cost=0.00..30.48 rows=148 width=675) (actual time=0.007..0.135 rows=148 loops=1)

640. 0.141 0.141 ↓ 1.0 162 1

Seq Scan on datas_part_0000009513 (cost=0.00..27.59 rows=159 width=675) (actual time=0.008..0.141 rows=162 loops=1)

641. 0.195 0.195 ↓ 1.1 191 1

Seq Scan on datas_part_0000009514 (cost=0.00..43.68 rows=168 width=671) (actual time=0.007..0.195 rows=191 loops=1)

642. 0.170 0.170 ↓ 1.1 188 1

Seq Scan on datas_part_0000009515 (cost=0.00..43.66 rows=166 width=675) (actual time=0.008..0.170 rows=188 loops=1)

643. 0.175 0.175 ↓ 1.1 188 1

Seq Scan on datas_part_0000009516 (cost=0.00..31.73 rows=173 width=676) (actual time=0.008..0.175 rows=188 loops=1)

644. 0.219 0.219 ↓ 1.0 202 1

Seq Scan on datas_part_0000009517 (cost=0.00..53.00 rows=200 width=677) (actual time=0.007..0.219 rows=202 loops=1)

645. 0.179 0.179 ↓ 1.0 185 1

Seq Scan on datas_part_0000009519 (cost=0.00..27.82 rows=182 width=675) (actual time=0.008..0.179 rows=185 loops=1)

646. 0.217 0.217 ↑ 1.0 239 1

Seq Scan on datas_part_0000009520 (cost=0.00..46.39 rows=239 width=675) (actual time=0.008..0.217 rows=239 loops=1)

647. 0.200 0.200 ↓ 1.1 194 1

Seq Scan on datas_part_0000009521 (cost=0.00..47.74 rows=174 width=672) (actual time=0.007..0.200 rows=194 loops=1)

648. 0.133 0.133 ↓ 1.0 157 1

Seq Scan on datas_part_0000009522 (cost=0.00..19.54 rows=154 width=674) (actual time=0.008..0.133 rows=157 loops=1)

649. 0.173 0.173 ↓ 1.1 187 1

Seq Scan on datas_part_0000009523 (cost=0.00..32.73 rows=173 width=673) (actual time=0.007..0.173 rows=187 loops=1)

650. 0.157 0.157 ↓ 1.1 201 1

Seq Scan on datas_part_0000009524 (cost=0.00..31.82 rows=182 width=675) (actual time=0.007..0.157 rows=201 loops=1)

651. 0.149 0.149 ↓ 1.0 156 1

Seq Scan on datas_part_0000009525 (cost=0.00..47.53 rows=153 width=672) (actual time=0.008..0.149 rows=156 loops=1)

652. 0.118 0.118 ↓ 1.0 157 1

Seq Scan on datas_part_0000009526 (cost=0.00..20.54 rows=154 width=673) (actual time=0.006..0.118 rows=157 loops=1)

653. 0.131 0.131 ↓ 1.0 147 1

Seq Scan on datas_part_0000009527 (cost=0.00..38.45 rows=145 width=673) (actual time=0.007..0.131 rows=147 loops=1)

654. 0.265 0.265 ↑ 1.0 234 1

Seq Scan on datas_part_0000009528 (cost=0.00..37.34 rows=234 width=672) (actual time=0.008..0.265 rows=234 loops=1)

655. 0.198 0.198 ↓ 1.1 204 1

Seq Scan on datas_part_0000009529 (cost=0.00..38.83 rows=183 width=672) (actual time=0.010..0.198 rows=204 loops=1)

656. 0.184 0.184 ↓ 1.0 212 1

Seq Scan on datas_part_0000009530 (cost=0.00..31.11 rows=211 width=674) (actual time=0.009..0.184 rows=212 loops=1)

657. 0.227 0.227 ↓ 1.1 199 1

Seq Scan on datas_part_0000009531 (cost=0.00..34.81 rows=181 width=673) (actual time=0.007..0.227 rows=199 loops=1)

658. 0.174 0.174 ↓ 1.1 201 1

Seq Scan on datas_part_0000009532 (cost=0.00..37.78 rows=178 width=673) (actual time=0.009..0.174 rows=201 loops=1)

659. 0.179 0.179 ↓ 1.3 189 1

Seq Scan on datas_part_0000009533 (cost=0.00..45.49 rows=149 width=675) (actual time=0.008..0.179 rows=189 loops=1)

660. 0.146 0.146 ↓ 1.1 188 1

Seq Scan on datas_part_0000009534 (cost=0.00..28.76 rows=176 width=675) (actual time=0.007..0.146 rows=188 loops=1)

661. 0.185 0.185 ↓ 1.3 188 1

Seq Scan on datas_part_0000009535 (cost=0.00..58.50 rows=150 width=673) (actual time=0.008..0.185 rows=188 loops=1)

662. 0.196 0.196 ↓ 1.2 201 1

Seq Scan on datas_part_0000009536 (cost=0.00..44.74 rows=174 width=672) (actual time=0.008..0.196 rows=201 loops=1)

663. 0.012 0.012 ↓ 2.0 2 1

Seq Scan on datas_part_default_tab (cost=0.00..1.01 rows=1 width=677) (actual time=0.011..0.012 rows=2 loops=1)

664. 0.007 0.012 ↑ 1.0 2 1

Hash (cost=1.02..1.02 rows=2 width=41) (actual time=0.011..0.012 rows=2 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 9kB
665. 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)

666. 0.008 0.016 ↑ 1.0 17 1

Hash (cost=1.17..1.17 rows=17 width=73) (actual time=0.016..0.016 rows=17 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 10kB
667. 0.008 0.008 ↑ 1.0 17 1

Seq Scan on statustypes (cost=0.00..1.17 rows=17 width=73) (actual time=0.004..0.008 rows=17 loops=1)

668. 965.232 965.232 ↑ 1.0 1 120,654

Index Scan using accounts__pkey1 on accounts (cost=0.28..0.30 rows=1 width=49) (actual time=0.008..0.008 rows=1 loops=120,654)

  • Index Cond: (idaccount = datas_part_0000008825.idaccount)
669.          

SubPlan (forNested Loop)

670. 241.308 1,689.156 ↑ 2.0 1 120,654

Result (cost=0.00..2.54 rows=2 width=32) (actual time=0.013..0.014 rows=1 loops=120,654)

671. 482.616 1,447.848 ↑ 2.0 1 120,654

Append (cost=0.00..2.50 rows=2 width=79) (actual time=0.011..0.012 rows=1 loops=120,654)

672. 0.000 0.000 ↓ 0.0 0 120,654

Seq Scan on equipments (cost=0.00..0.00 rows=1 width=96) (actual time=0.000..0.000 rows=0 loops=120,654)

  • Filter: (idequipment = datas_part_0000008825.idequipment)
673. 965.232 965.232 ↑ 1.0 1 120,654

Index Scan using network_devices_2_pkey on network_devices (cost=0.28..2.49 rows=1 width=62) (actual time=0.007..0.008 rows=1 loops=120,654)

  • Index Cond: (idequipment = datas_part_0000008825.idequipment)
Planning time : 66,706.870 ms