explain.depesz.com

PostgreSQL's explain analyze made readable

Result: Hyjk

Settings
# exclusive inclusive rows x rows loops node
1. 1,426.563 2,657.547 ↓ 48.0 48 1

Hash Join (cost=47,443.42..180,510.37 rows=1 width=770) (actual time=79.570..2,657.547 rows=48 loops=1)

  • Hash Cond: ((datas_part_0000008825.idaccount = datas_part_0000008825_1.idaccount) AND (datas_part_0000008825.source = datas_part_0000008825_1.source) AND (datas_part_0000008825.ideventtype = datas_part_0000008825_1.ideventtype) AND (datas_part_0000008825.idequipment = datas_part_0000008825_1.idequipment) AND (datas_part_0000008825.idstatustype = datas_part_0000008825_1.idstatustype) AND (datas_part_0000008825.dateevent = (max(datas_part_0000008825_1.dateevent))))
2. 177.298 1,228.727 ↓ 1.0 839,015 1

Append (cost=0.00..119,856.95 rows=838,730 width=770) (actual time=0.027..1,228.727 rows=839,015 loops=1)

3. 0.486 0.486 ↑ 1.0 1,317 1

Seq Scan on datas_part_0000008825 (cost=0.00..167.17 rows=1,317 width=769) (actual time=0.026..0.486 rows=1,317 loops=1)

4. 0.542 0.542 ↑ 1.0 1,311 1

Seq Scan on datas_part_0000008826 (cost=0.00..175.11 rows=1,311 width=769) (actual time=0.041..0.542 rows=1,311 loops=1)

5. 0.810 0.810 ↑ 1.0 1,326 1

Seq Scan on datas_part_0000008827 (cost=0.00..183.26 rows=1,326 width=770) (actual time=0.016..0.810 rows=1,326 loops=1)

6. 0.516 0.516 ↑ 1.0 1,327 1

Seq Scan on datas_part_0000008828 (cost=0.00..175.27 rows=1,327 width=769) (actual time=0.038..0.516 rows=1,327 loops=1)

7. 0.217 0.217 ↑ 1.0 653 1

Seq Scan on datas_part_0000008829 (cost=0.00..76.53 rows=653 width=754) (actual time=0.017..0.217 rows=653 loops=1)

8. 0.462 0.462 ↑ 1.0 1,327 1

Seq Scan on datas_part_0000008830 (cost=0.00..181.27 rows=1,327 width=770) (actual time=0.015..0.462 rows=1,327 loops=1)

9. 0.459 0.459 ↑ 1.0 1,323 1

Seq Scan on datas_part_0000008831 (cost=0.00..171.23 rows=1,323 width=769) (actual time=0.019..0.459 rows=1,323 loops=1)

10. 0.497 0.497 ↑ 1.0 1,301 1

Seq Scan on datas_part_0000008832 (cost=0.00..176.01 rows=1,301 width=769) (actual time=0.016..0.497 rows=1,301 loops=1)

11. 0.512 0.512 ↑ 1.0 1,361 1

Seq Scan on datas_part_0000008833 (cost=0.00..188.69 rows=1,369 width=769) (actual time=0.020..0.512 rows=1,361 loops=1)

12. 0.467 0.467 ↓ 1.0 1,322 1

Seq Scan on datas_part_0000008834 (cost=0.00..195.11 rows=1,311 width=769) (actual time=0.031..0.467 rows=1,322 loops=1)

13. 0.475 0.475 ↑ 1.0 1,317 1

Seq Scan on datas_part_0000008835 (cost=0.00..188.17 rows=1,317 width=769) (actual time=0.037..0.475 rows=1,317 loops=1)

14. 0.578 0.578 ↑ 1.0 1,313 1

Seq Scan on datas_part_0000008836 (cost=0.00..184.13 rows=1,313 width=769) (actual time=0.018..0.578 rows=1,313 loops=1)

15. 0.563 0.563 ↑ 1.0 1,312 1

Seq Scan on datas_part_0000008837 (cost=0.00..169.12 rows=1,312 width=772) (actual time=0.047..0.563 rows=1,312 loops=1)

16. 0.497 0.497 ↓ 1.0 1,329 1

Seq Scan on datas_part_0000008838 (cost=0.00..182.20 rows=1,320 width=769) (actual time=0.037..0.497 rows=1,329 loops=1)

17. 0.567 0.567 ↑ 1.0 1,321 1

Seq Scan on datas_part_0000008839 (cost=0.00..165.21 rows=1,321 width=769) (actual time=0.036..0.567 rows=1,321 loops=1)

18. 0.477 0.477 ↑ 1.0 1,304 1

Seq Scan on datas_part_0000008840 (cost=0.00..162.04 rows=1,304 width=770) (actual time=0.017..0.477 rows=1,304 loops=1)

19. 0.528 0.528 ↑ 1.0 1,309 1

Seq Scan on datas_part_0000008841 (cost=0.00..213.09 rows=1,309 width=771) (actual time=0.019..0.528 rows=1,309 loops=1)

20. 0.467 0.467 ↑ 1.0 1,284 1

Seq Scan on datas_part_0000008842 (cost=0.00..160.84 rows=1,284 width=770) (actual time=0.036..0.467 rows=1,284 loops=1)

21. 0.468 0.468 ↑ 1.0 1,309 1

Seq Scan on datas_part_0000008843 (cost=0.00..175.10 rows=1,310 width=771) (actual time=0.027..0.468 rows=1,309 loops=1)

22. 0.513 0.513 ↑ 1.0 1,304 1

Seq Scan on datas_part_0000008844 (cost=0.00..183.04 rows=1,304 width=771) (actual time=0.019..0.513 rows=1,304 loops=1)

23. 0.486 0.486 ↑ 1.0 1,279 1

Seq Scan on datas_part_0000008846 (cost=0.00..187.79 rows=1,279 width=769) (actual time=0.018..0.486 rows=1,279 loops=1)

24. 0.461 0.461 ↑ 1.0 1,316 1

Seq Scan on datas_part_0000008847 (cost=0.00..183.16 rows=1,316 width=770) (actual time=0.019..0.461 rows=1,316 loops=1)

25. 0.443 0.443 ↑ 1.0 1,273 1

Seq Scan on datas_part_0000008848 (cost=0.00..171.73 rows=1,273 width=770) (actual time=0.031..0.443 rows=1,273 loops=1)

26. 0.536 0.536 ↓ 1.0 1,354 1

Seq Scan on datas_part_0000008849 (cost=0.00..184.46 rows=1,346 width=770) (actual time=0.035..0.536 rows=1,354 loops=1)

27. 0.593 0.593 ↑ 1.0 1,313 1

Seq Scan on datas_part_0000008850 (cost=0.00..192.13 rows=1,313 width=769) (actual time=0.020..0.593 rows=1,313 loops=1)

28. 0.539 0.539 ↑ 1.0 1,404 1

Seq Scan on datas_part_0000008851 (cost=0.00..178.06 rows=1,406 width=771) (actual time=0.021..0.539 rows=1,404 loops=1)

29. 0.513 0.513 ↓ 1.0 1,306 1

Seq Scan on datas_part_0000008853 (cost=0.00..185.03 rows=1,303 width=769) (actual time=0.020..0.513 rows=1,306 loops=1)

30. 0.466 0.466 ↓ 1.0 1,335 1

Seq Scan on datas_part_0000008854 (cost=0.00..187.24 rows=1,324 width=770) (actual time=0.016..0.466 rows=1,335 loops=1)

31. 0.472 0.472 ↑ 1.0 1,308 1

Seq Scan on datas_part_0000008855 (cost=0.00..185.08 rows=1,308 width=771) (actual time=0.031..0.472 rows=1,308 loops=1)

32. 0.480 0.480 ↑ 1.0 1,304 1

Seq Scan on datas_part_0000008856 (cost=0.00..166.04 rows=1,304 width=768) (actual time=0.030..0.480 rows=1,304 loops=1)

33. 0.483 0.483 ↑ 1.0 1,306 1

Seq Scan on datas_part_0000008857 (cost=0.00..177.06 rows=1,306 width=770) (actual time=0.016..0.483 rows=1,306 loops=1)

34. 0.467 0.467 ↑ 1.0 1,315 1

Seq Scan on datas_part_0000008858 (cost=0.00..184.15 rows=1,315 width=769) (actual time=0.021..0.467 rows=1,315 loops=1)

35. 0.478 0.478 ↑ 1.0 1,306 1

Seq Scan on datas_part_0000008860 (cost=0.00..181.06 rows=1,306 width=768) (actual time=0.016..0.478 rows=1,306 loops=1)

36. 0.465 0.465 ↑ 1.0 1,308 1

Seq Scan on datas_part_0000008861 (cost=0.00..180.08 rows=1,308 width=769) (actual time=0.020..0.465 rows=1,308 loops=1)

37. 0.472 0.472 ↑ 1.0 1,272 1

Seq Scan on datas_part_0000008863 (cost=0.00..160.72 rows=1,272 width=768) (actual time=0.018..0.472 rows=1,272 loops=1)

38. 0.442 0.442 ↓ 1.0 1,294 1

Seq Scan on datas_part_0000008864 (cost=0.00..162.83 rows=1,283 width=766) (actual time=0.016..0.442 rows=1,294 loops=1)

39. 0.528 0.528 ↑ 1.0 1,291 1

Seq Scan on datas_part_0000008865 (cost=0.00..178.91 rows=1,291 width=770) (actual time=0.019..0.528 rows=1,291 loops=1)

40. 0.633 0.633 ↑ 1.0 1,304 1

Seq Scan on datas_part_0000008866 (cost=0.00..183.04 rows=1,304 width=769) (actual time=0.019..0.633 rows=1,304 loops=1)

41. 0.490 0.490 ↑ 1.0 1,264 1

Seq Scan on datas_part_0000008867 (cost=0.00..186.64 rows=1,264 width=770) (actual time=0.015..0.490 rows=1,264 loops=1)

42. 0.505 0.505 ↑ 1.0 1,246 1

Seq Scan on datas_part_0000008868 (cost=0.00..182.46 rows=1,246 width=772) (actual time=0.020..0.505 rows=1,246 loops=1)

43. 0.605 0.605 ↑ 1.0 1,302 1

Seq Scan on datas_part_0000008869 (cost=0.00..183.02 rows=1,302 width=770) (actual time=0.021..0.605 rows=1,302 loops=1)

44. 0.495 0.495 ↑ 1.0 1,302 1

Seq Scan on datas_part_0000008870 (cost=0.00..188.02 rows=1,302 width=768) (actual time=0.019..0.495 rows=1,302 loops=1)

45. 0.480 0.480 ↑ 1.0 1,306 1

Seq Scan on datas_part_0000008871 (cost=0.00..175.06 rows=1,306 width=770) (actual time=0.021..0.480 rows=1,306 loops=1)

46. 6.584 6.584 ↑ 1.0 1,318 1

Seq Scan on datas_part_0000008872 (cost=0.00..178.18 rows=1,318 width=768) (actual time=0.019..6.584 rows=1,318 loops=1)

47. 0.559 0.559 ↑ 1.0 1,300 1

Seq Scan on datas_part_0000008873 (cost=0.00..198.00 rows=1,300 width=769) (actual time=0.050..0.559 rows=1,300 loops=1)

48. 0.498 0.498 ↑ 1.0 1,301 1

Seq Scan on datas_part_0000008874 (cost=0.00..180.01 rows=1,301 width=770) (actual time=0.012..0.498 rows=1,301 loops=1)

49. 1.768 1.768 ↑ 1.0 1,298 1

Seq Scan on datas_part_0000008875 (cost=0.00..169.98 rows=1,298 width=771) (actual time=0.039..1.768 rows=1,298 loops=1)

50. 1.213 1.213 ↑ 1.0 1,318 1

Seq Scan on datas_part_0000008876 (cost=0.00..180.18 rows=1,318 width=769) (actual time=0.018..1.213 rows=1,318 loops=1)

51. 0.513 0.513 ↑ 1.0 1,306 1

Seq Scan on datas_part_0000008877 (cost=0.00..183.06 rows=1,306 width=770) (actual time=0.036..0.513 rows=1,306 loops=1)

52. 0.466 0.466 ↑ 1.0 1,293 1

Seq Scan on datas_part_0000008878 (cost=0.00..174.93 rows=1,293 width=769) (actual time=0.019..0.466 rows=1,293 loops=1)

53. 0.503 0.503 ↑ 1.0 1,293 1

Seq Scan on datas_part_0000008879 (cost=0.00..193.93 rows=1,293 width=771) (actual time=0.020..0.503 rows=1,293 loops=1)

54. 0.505 0.505 ↑ 1.0 1,371 1

Seq Scan on datas_part_0000008880 (cost=0.00..191.74 rows=1,374 width=770) (actual time=0.017..0.505 rows=1,371 loops=1)

55. 0.505 0.505 ↓ 1.0 1,397 1

Seq Scan on datas_part_0000008881 (cost=0.00..170.90 rows=1,390 width=770) (actual time=0.018..0.505 rows=1,397 loops=1)

56. 0.499 0.499 ↑ 1.0 1,299 1

Seq Scan on datas_part_0000008882 (cost=0.00..181.99 rows=1,299 width=768) (actual time=0.019..0.499 rows=1,299 loops=1)

57. 27.259 27.259 ↓ 1.0 1,316 1

Seq Scan on datas_part_0000008883 (cost=0.00..176.07 rows=1,307 width=769) (actual time=0.019..27.259 rows=1,316 loops=1)

58. 0.455 0.455 ↑ 1.0 1,312 1

Seq Scan on datas_part_0000008884 (cost=0.00..160.12 rows=1,312 width=771) (actual time=0.018..0.455 rows=1,312 loops=1)

59. 0.467 0.467 ↑ 1.0 1,327 1

Seq Scan on datas_part_0000008885 (cost=0.00..169.27 rows=1,327 width=768) (actual time=0.019..0.467 rows=1,327 loops=1)

60. 9.954 9.954 ↑ 1.0 1,310 1

Seq Scan on datas_part_0000008886 (cost=0.00..163.10 rows=1,310 width=769) (actual time=0.016..9.954 rows=1,310 loops=1)

61. 1.543 1.543 ↑ 1.0 1,325 1

Seq Scan on datas_part_0000008887 (cost=0.00..186.25 rows=1,325 width=770) (actual time=0.018..1.543 rows=1,325 loops=1)

62. 1.276 1.276 ↑ 1.0 1,358 1

Seq Scan on datas_part_0000008888 (cost=0.00..179.70 rows=1,370 width=770) (actual time=0.019..1.276 rows=1,358 loops=1)

63. 0.494 0.494 ↑ 1.0 1,313 1

Seq Scan on datas_part_0000008889 (cost=0.00..192.13 rows=1,313 width=769) (actual time=0.016..0.494 rows=1,313 loops=1)

64. 0.485 0.485 ↑ 1.0 1,323 1

Seq Scan on datas_part_0000008890 (cost=0.00..175.23 rows=1,323 width=770) (actual time=0.018..0.485 rows=1,323 loops=1)

65. 0.840 0.840 ↑ 1.0 1,320 1

Seq Scan on datas_part_0000008891 (cost=0.00..181.20 rows=1,320 width=770) (actual time=0.018..0.840 rows=1,320 loops=1)

66. 0.450 0.450 ↑ 1.0 1,295 1

Seq Scan on datas_part_0000008892 (cost=0.00..171.95 rows=1,295 width=770) (actual time=0.015..0.450 rows=1,295 loops=1)

67. 0.458 0.458 ↑ 1.0 1,320 1

Seq Scan on datas_part_0000008893 (cost=0.00..176.20 rows=1,320 width=769) (actual time=0.018..0.458 rows=1,320 loops=1)

68. 0.489 0.489 ↑ 1.0 1,324 1

Seq Scan on datas_part_0000008894 (cost=0.00..174.24 rows=1,324 width=769) (actual time=0.018..0.489 rows=1,324 loops=1)

69. 0.485 0.485 ↑ 1.0 1,328 1

Seq Scan on datas_part_0000008895 (cost=0.00..189.28 rows=1,328 width=772) (actual time=0.019..0.485 rows=1,328 loops=1)

70. 0.470 0.470 ↑ 1.0 1,325 1

Seq Scan on datas_part_0000008896 (cost=0.00..178.25 rows=1,325 width=769) (actual time=0.019..0.470 rows=1,325 loops=1)

71. 0.846 0.846 ↑ 1.0 1,222 1

Seq Scan on datas_part_0000008897 (cost=0.00..214.22 rows=1,222 width=768) (actual time=0.019..0.846 rows=1,222 loops=1)

72. 0.573 0.573 ↑ 1.0 1,244 1

Seq Scan on datas_part_0000008898 (cost=0.00..216.44 rows=1,244 width=768) (actual time=0.061..0.573 rows=1,244 loops=1)

73. 1.015 1.015 ↑ 1.0 1,317 1

Seq Scan on datas_part_0000008899 (cost=0.00..175.17 rows=1,317 width=770) (actual time=0.034..1.015 rows=1,317 loops=1)

74. 0.528 0.528 ↑ 1.0 1,212 1

Seq Scan on datas_part_0000008900 (cost=0.00..193.12 rows=1,212 width=766) (actual time=0.016..0.528 rows=1,212 loops=1)

75. 7.308 7.308 ↑ 1.0 1,274 1

Seq Scan on datas_part_0000008901 (cost=0.00..224.74 rows=1,274 width=774) (actual time=0.021..7.308 rows=1,274 loops=1)

76. 0.481 0.481 ↑ 1.0 1,331 1

Seq Scan on datas_part_0000008902 (cost=0.00..178.31 rows=1,331 width=771) (actual time=0.018..0.481 rows=1,331 loops=1)

77. 0.575 0.575 ↑ 1.0 1,265 1

Seq Scan on datas_part_0000008904 (cost=0.00..232.65 rows=1,265 width=773) (actual time=0.018..0.575 rows=1,265 loops=1)

78. 0.468 0.468 ↑ 1.0 1,307 1

Seq Scan on datas_part_0000008905 (cost=0.00..173.07 rows=1,307 width=769) (actual time=0.018..0.468 rows=1,307 loops=1)

79. 0.502 0.502 ↑ 1.0 1,238 1

Seq Scan on datas_part_0000008906 (cost=0.00..221.38 rows=1,238 width=774) (actual time=0.014..0.502 rows=1,238 loops=1)

80. 0.457 0.457 ↑ 1.0 1,320 1

Seq Scan on datas_part_0000008907 (cost=0.00..166.20 rows=1,320 width=771) (actual time=0.015..0.457 rows=1,320 loops=1)

81. 0.530 0.530 ↑ 1.0 1,260 1

Seq Scan on datas_part_0000008908 (cost=0.00..233.60 rows=1,260 width=773) (actual time=0.018..0.530 rows=1,260 loops=1)

82. 0.468 0.468 ↑ 1.0 1,311 1

Seq Scan on datas_part_0000008909 (cost=0.00..176.11 rows=1,311 width=768) (actual time=0.018..0.468 rows=1,311 loops=1)

83. 0.476 0.476 ↑ 1.0 1,320 1

Seq Scan on datas_part_0000008910 (cost=0.00..178.20 rows=1,320 width=771) (actual time=0.019..0.476 rows=1,320 loops=1)

84. 0.480 0.480 ↑ 1.0 1,319 1

Seq Scan on datas_part_0000008911 (cost=0.00..174.19 rows=1,319 width=772) (actual time=0.018..0.480 rows=1,319 loops=1)

85. 0.477 0.477 ↑ 1.0 1,327 1

Seq Scan on datas_part_0000008912 (cost=0.00..186.27 rows=1,327 width=770) (actual time=0.016..0.477 rows=1,327 loops=1)

86. 0.513 0.513 ↑ 1.0 1,318 1

Seq Scan on datas_part_0000008913 (cost=0.00..170.18 rows=1,318 width=771) (actual time=0.018..0.513 rows=1,318 loops=1)

87. 0.857 0.857 ↑ 1.0 1,329 1

Seq Scan on datas_part_0000008914 (cost=0.00..186.29 rows=1,329 width=769) (actual time=0.021..0.857 rows=1,329 loops=1)

88. 0.622 0.622 ↑ 1.0 1,237 1

Seq Scan on datas_part_0000008915 (cost=0.00..202.37 rows=1,237 width=769) (actual time=0.039..0.622 rows=1,237 loops=1)

89. 1.127 1.127 ↑ 1.0 1,317 1

Seq Scan on datas_part_0000008917 (cost=0.00..188.17 rows=1,317 width=768) (actual time=0.044..1.127 rows=1,317 loops=1)

90. 12.532 12.532 ↑ 1.0 1,336 1

Seq Scan on datas_part_0000008919 (cost=0.00..176.36 rows=1,336 width=769) (actual time=0.015..12.532 rows=1,336 loops=1)

91. 0.479 0.479 ↑ 1.0 1,325 1

Seq Scan on datas_part_0000008920 (cost=0.00..177.25 rows=1,325 width=770) (actual time=0.014..0.479 rows=1,325 loops=1)

92. 0.463 0.463 ↑ 1.0 1,332 1

Seq Scan on datas_part_0000008921 (cost=0.00..183.32 rows=1,332 width=770) (actual time=0.014..0.463 rows=1,332 loops=1)

93. 0.470 0.470 ↑ 1.0 1,339 1

Seq Scan on datas_part_0000008922 (cost=0.00..166.39 rows=1,339 width=771) (actual time=0.019..0.470 rows=1,339 loops=1)

94. 0.636 0.636 ↑ 1.0 1,322 1

Seq Scan on datas_part_0000008923 (cost=0.00..191.22 rows=1,322 width=768) (actual time=0.015..0.636 rows=1,322 loops=1)

95. 0.505 0.505 ↑ 1.0 1,332 1

Seq Scan on datas_part_0000008924 (cost=0.00..197.32 rows=1,332 width=771) (actual time=0.013..0.505 rows=1,332 loops=1)

96. 15.753 15.753 ↑ 1.0 1,297 1

Seq Scan on datas_part_0000008925 (cost=0.00..178.97 rows=1,297 width=771) (actual time=0.015..15.753 rows=1,297 loops=1)

97. 4.587 4.587 ↑ 1.0 1,328 1

Seq Scan on datas_part_0000008926 (cost=0.00..174.28 rows=1,328 width=773) (actual time=0.017..4.587 rows=1,328 loops=1)

98. 0.459 0.459 ↑ 1.0 1,298 1

Seq Scan on datas_part_0000008927 (cost=0.00..177.98 rows=1,298 width=771) (actual time=0.018..0.459 rows=1,298 loops=1)

99. 0.527 0.527 ↑ 1.0 1,291 1

Seq Scan on datas_part_0000008928 (cost=0.00..199.91 rows=1,291 width=773) (actual time=0.019..0.527 rows=1,291 loops=1)

100. 0.472 0.472 ↑ 1.0 1,282 1

Seq Scan on datas_part_0000008929 (cost=0.00..188.82 rows=1,282 width=772) (actual time=0.012..0.472 rows=1,282 loops=1)

101. 0.447 0.447 ↑ 1.0 1,279 1

Seq Scan on datas_part_0000008930 (cost=0.00..172.79 rows=1,279 width=772) (actual time=0.019..0.447 rows=1,279 loops=1)

102. 1.081 1.081 ↑ 1.0 1,292 1

Seq Scan on datas_part_0000008931 (cost=0.00..152.92 rows=1,292 width=770) (actual time=0.018..1.081 rows=1,292 loops=1)

103. 0.532 0.532 ↑ 1.0 1,259 1

Seq Scan on datas_part_0000008932 (cost=0.00..179.59 rows=1,259 width=771) (actual time=0.017..0.532 rows=1,259 loops=1)

104. 0.471 0.471 ↑ 1.0 1,250 1

Seq Scan on datas_part_0000008933 (cost=0.00..171.50 rows=1,250 width=769) (actual time=0.019..0.471 rows=1,250 loops=1)

105. 11.070 11.070 ↑ 1.0 1,237 1

Seq Scan on datas_part_0000008934 (cost=0.00..174.37 rows=1,237 width=771) (actual time=0.019..11.070 rows=1,237 loops=1)

106. 0.450 0.450 ↑ 1.0 1,291 1

Seq Scan on datas_part_0000008935 (cost=0.00..189.91 rows=1,291 width=768) (actual time=0.019..0.450 rows=1,291 loops=1)

107. 0.598 0.598 ↑ 1.0 1,237 1

Seq Scan on datas_part_0000008936 (cost=0.00..154.37 rows=1,237 width=772) (actual time=0.037..0.598 rows=1,237 loops=1)

108. 23.831 23.831 ↑ 1.0 1,290 1

Seq Scan on datas_part_0000008937 (cost=0.00..187.90 rows=1,290 width=772) (actual time=0.024..23.831 rows=1,290 loops=1)

109. 15.091 15.091 ↑ 1.0 1,284 1

Seq Scan on datas_part_0000008938 (cost=0.00..172.84 rows=1,284 width=773) (actual time=0.017..15.091 rows=1,284 loops=1)

110. 0.557 0.557 ↑ 1.0 1,265 1

Seq Scan on datas_part_0000008939 (cost=0.00..216.65 rows=1,265 width=772) (actual time=0.018..0.557 rows=1,265 loops=1)

111. 0.497 0.497 ↑ 1.0 1,249 1

Seq Scan on datas_part_0000008940 (cost=0.00..177.49 rows=1,249 width=770) (actual time=0.022..0.497 rows=1,249 loops=1)

112. 0.502 0.502 ↑ 1.0 1,287 1

Seq Scan on datas_part_0000008941 (cost=0.00..195.87 rows=1,287 width=770) (actual time=0.036..0.502 rows=1,287 loops=1)

113. 0.503 0.503 ↑ 1.0 1,276 1

Seq Scan on datas_part_0000008942 (cost=0.00..171.76 rows=1,276 width=773) (actual time=0.030..0.503 rows=1,276 loops=1)

114. 0.480 0.480 ↑ 1.0 1,293 1

Seq Scan on datas_part_0000008943 (cost=0.00..175.93 rows=1,293 width=772) (actual time=0.019..0.480 rows=1,293 loops=1)

115. 0.443 0.443 ↑ 1.0 1,279 1

Seq Scan on datas_part_0000008944 (cost=0.00..168.79 rows=1,279 width=769) (actual time=0.024..0.443 rows=1,279 loops=1)

116. 0.331 0.331 ↑ 1.0 1,010 1

Seq Scan on datas_part_0000008945 (cost=0.00..137.10 rows=1,010 width=764) (actual time=0.025..0.331 rows=1,010 loops=1)

117. 0.430 0.430 ↑ 1.0 1,248 1

Seq Scan on datas_part_0000008946 (cost=0.00..169.48 rows=1,248 width=770) (actual time=0.016..0.430 rows=1,248 loops=1)

118. 0.450 0.450 ↑ 1.0 1,272 1

Seq Scan on datas_part_0000008947 (cost=0.00..163.72 rows=1,272 width=768) (actual time=0.017..0.450 rows=1,272 loops=1)

119. 0.646 0.646 ↑ 1.0 1,241 1

Seq Scan on datas_part_0000008948 (cost=0.00..166.41 rows=1,241 width=767) (actual time=0.015..0.646 rows=1,241 loops=1)

120. 0.447 0.447 ↑ 1.0 1,247 1

Seq Scan on datas_part_0000008949 (cost=0.00..164.47 rows=1,247 width=768) (actual time=0.020..0.447 rows=1,247 loops=1)

121. 0.450 0.450 ↑ 1.0 1,294 1

Seq Scan on datas_part_0000008950 (cost=0.00..158.94 rows=1,294 width=772) (actual time=0.017..0.450 rows=1,294 loops=1)

122. 0.483 0.483 ↑ 1.0 1,281 1

Seq Scan on datas_part_0000008951 (cost=0.00..178.81 rows=1,281 width=770) (actual time=0.019..0.483 rows=1,281 loops=1)

123. 18.901 18.901 ↑ 1.0 1,231 1

Seq Scan on datas_part_0000008952 (cost=0.00..173.31 rows=1,231 width=773) (actual time=18.427..18.901 rows=1,231 loops=1)

124. 0.624 0.624 ↑ 1.0 1,272 1

Seq Scan on datas_part_0000008953 (cost=0.00..186.72 rows=1,272 width=768) (actual time=0.018..0.624 rows=1,272 loops=1)

125. 0.498 0.498 ↑ 1.0 1,245 1

Seq Scan on datas_part_0000008954 (cost=0.00..158.45 rows=1,245 width=770) (actual time=0.013..0.498 rows=1,245 loops=1)

126. 0.462 0.462 ↑ 1.0 1,246 1

Seq Scan on datas_part_0000008955 (cost=0.00..165.46 rows=1,246 width=769) (actual time=0.015..0.462 rows=1,246 loops=1)

127. 18.342 18.342 ↑ 1.0 1,224 1

Seq Scan on datas_part_0000008956 (cost=0.00..167.24 rows=1,224 width=771) (actual time=0.028..18.342 rows=1,224 loops=1)

128. 0.477 0.477 ↑ 1.0 1,301 1

Seq Scan on datas_part_0000008957 (cost=0.00..177.01 rows=1,301 width=772) (actual time=0.029..0.477 rows=1,301 loops=1)

129. 0.453 0.453 ↑ 1.0 1,253 1

Seq Scan on datas_part_0000008958 (cost=0.00..170.53 rows=1,253 width=770) (actual time=0.018..0.453 rows=1,253 loops=1)

130. 0.461 0.461 ↓ 1.0 1,285 1

Seq Scan on datas_part_0000008959 (cost=0.00..163.81 rows=1,281 width=767) (actual time=0.020..0.461 rows=1,285 loops=1)

131. 0.501 0.501 ↑ 1.0 1,332 1

Seq Scan on datas_part_0000008960 (cost=0.00..185.37 rows=1,337 width=771) (actual time=0.036..0.501 rows=1,332 loops=1)

132. 0.022 0.022 ↓ 1.0 38 1

Seq Scan on datas_part_0000008961 (cost=0.00..2.37 rows=37 width=384) (actual time=0.016..0.022 rows=38 loops=1)

133. 1.478 1.478 ↓ 1.0 1,318 1

Seq Scan on datas_part_0000008962 (cost=0.00..184.08 rows=1,308 width=771) (actual time=0.010..1.478 rows=1,318 loops=1)

134. 1.329 1.329 ↓ 1.0 1,315 1

Seq Scan on datas_part_0000008963 (cost=0.00..182.13 rows=1,313 width=769) (actual time=0.020..1.329 rows=1,315 loops=1)

135. 0.548 0.548 ↑ 1.0 1,276 1

Seq Scan on datas_part_0000008964 (cost=0.00..191.76 rows=1,276 width=771) (actual time=0.016..0.548 rows=1,276 loops=1)

136. 0.537 0.537 ↑ 1.0 1,281 1

Seq Scan on datas_part_0000008965 (cost=0.00..179.81 rows=1,281 width=769) (actual time=0.018..0.537 rows=1,281 loops=1)

137. 0.508 0.508 ↑ 1.0 1,279 1

Seq Scan on datas_part_0000008967 (cost=0.00..167.79 rows=1,279 width=768) (actual time=0.021..0.508 rows=1,279 loops=1)

138. 1.871 1.871 ↑ 1.0 1,247 1

Seq Scan on datas_part_0000008968 (cost=0.00..167.47 rows=1,247 width=769) (actual time=0.017..1.871 rows=1,247 loops=1)

139. 0.463 0.463 ↑ 1.0 1,270 1

Seq Scan on datas_part_0000008969 (cost=0.00..177.70 rows=1,270 width=771) (actual time=0.015..0.463 rows=1,270 loops=1)

140. 0.496 0.496 ↓ 1.0 1,319 1

Seq Scan on datas_part_0000008970 (cost=0.00..175.13 rows=1,313 width=771) (actual time=0.020..0.496 rows=1,319 loops=1)

141. 0.488 0.488 ↑ 1.0 1,291 1

Seq Scan on datas_part_0000008971 (cost=0.00..178.16 rows=1,316 width=769) (actual time=0.020..0.488 rows=1,291 loops=1)

142. 0.535 0.535 ↓ 1.0 1,306 1

Seq Scan on datas_part_0000008972 (cost=0.00..194.01 rows=1,301 width=768) (actual time=0.014..0.535 rows=1,306 loops=1)

143. 0.474 0.474 ↓ 1.0 1,321 1

Seq Scan on datas_part_0000008973 (cost=0.00..173.16 rows=1,316 width=771) (actual time=0.017..0.474 rows=1,321 loops=1)

144. 22.368 22.368 ↑ 1.0 1,336 1

Seq Scan on datas_part_0000008974 (cost=0.00..185.76 rows=1,376 width=769) (actual time=0.014..22.368 rows=1,336 loops=1)

145. 0.477 0.477 ↑ 1.0 1,286 1

Seq Scan on datas_part_0000008975 (cost=0.00..180.17 rows=1,317 width=769) (actual time=0.016..0.477 rows=1,286 loops=1)

146. 0.515 0.515 ↑ 1.0 1,252 1

Seq Scan on datas_part_0000008976 (cost=0.00..183.52 rows=1,252 width=769) (actual time=0.016..0.515 rows=1,252 loops=1)

147. 0.475 0.475 ↑ 1.0 1,284 1

Seq Scan on datas_part_0000008977 (cost=0.00..168.03 rows=1,303 width=770) (actual time=0.020..0.475 rows=1,284 loops=1)

148. 3.167 3.167 ↓ 1.0 1,320 1

Seq Scan on datas_part_0000008978 (cost=0.00..184.79 rows=1,279 width=771) (actual time=0.020..3.167 rows=1,320 loops=1)

149. 3.143 3.143 ↑ 1.0 1,292 1

Seq Scan on datas_part_0000008979 (cost=0.00..154.98 rows=1,298 width=771) (actual time=0.013..3.143 rows=1,292 loops=1)

150. 0.440 0.440 ↓ 1.0 1,088 1

Seq Scan on datas_part_0000008980 (cost=0.00..151.79 rows=1,079 width=765) (actual time=0.018..0.440 rows=1,088 loops=1)

151. 0.454 0.454 ↑ 1.0 1,228 1

Seq Scan on datas_part_0000008981 (cost=0.00..157.28 rows=1,228 width=770) (actual time=0.017..0.454 rows=1,228 loops=1)

152. 0.485 0.485 ↓ 1.0 1,312 1

Seq Scan on datas_part_0000008982 (cost=0.00..188.01 rows=1,301 width=771) (actual time=0.019..0.485 rows=1,312 loops=1)

153. 0.462 0.462 ↑ 1.0 1,315 1

Seq Scan on datas_part_0000008983 (cost=0.00..165.26 rows=1,326 width=769) (actual time=0.033..0.462 rows=1,315 loops=1)

154. 0.500 0.500 ↓ 1.0 1,318 1

Seq Scan on datas_part_0000008984 (cost=0.00..188.08 rows=1,308 width=770) (actual time=0.033..0.500 rows=1,318 loops=1)

155. 0.464 0.464 ↑ 1.0 1,281 1

Seq Scan on datas_part_0000008985 (cost=0.00..164.81 rows=1,281 width=769) (actual time=0.015..0.464 rows=1,281 loops=1)

156. 0.476 0.476 ↑ 1.1 1,294 1

Seq Scan on datas_part_0000008986 (cost=0.00..203.54 rows=1,454 width=770) (actual time=0.016..0.476 rows=1,294 loops=1)

157. 1.416 1.416 ↑ 1.0 1,313 1

Seq Scan on datas_part_0000008987 (cost=0.00..168.14 rows=1,314 width=770) (actual time=0.019..1.416 rows=1,313 loops=1)

158. 3.073 3.073 ↓ 1.0 1,306 1

Seq Scan on datas_part_0000008988 (cost=0.00..168.98 rows=1,298 width=769) (actual time=0.018..3.073 rows=1,306 loops=1)

159. 0.484 0.484 ↓ 1.0 1,323 1

Seq Scan on datas_part_0000008989 (cost=0.00..177.15 rows=1,315 width=769) (actual time=0.021..0.484 rows=1,323 loops=1)

160. 2.264 2.264 ↓ 1.0 851 1

Seq Scan on datas_part_0000008991 (cost=0.00..117.44 rows=844 width=759) (actual time=0.019..2.264 rows=851 loops=1)

161. 0.468 0.468 ↓ 1.0 1,279 1

Seq Scan on datas_part_0000008992 (cost=0.00..179.77 rows=1,277 width=770) (actual time=0.015..0.468 rows=1,279 loops=1)

162. 0.740 0.740 ↓ 1.0 1,351 1

Seq Scan on datas_part_0000008993 (cost=0.00..196.47 rows=1,347 width=771) (actual time=0.018..0.740 rows=1,351 loops=1)

163. 0.483 0.483 ↓ 1.0 1,322 1

Seq Scan on datas_part_0000008994 (cost=0.00..175.18 rows=1,318 width=769) (actual time=0.019..0.483 rows=1,322 loops=1)

164. 0.499 0.499 ↓ 1.0 1,311 1

Seq Scan on datas_part_0000008997 (cost=0.00..182.09 rows=1,309 width=771) (actual time=0.022..0.499 rows=1,311 loops=1)

165. 0.502 0.502 ↓ 1.0 1,291 1

Seq Scan on datas_part_0000008998 (cost=0.00..177.81 rows=1,281 width=771) (actual time=0.017..0.502 rows=1,291 loops=1)

166. 0.507 0.507 ↓ 1.0 1,329 1

Seq Scan on datas_part_0000008999 (cost=0.00..181.20 rows=1,320 width=770) (actual time=0.021..0.507 rows=1,329 loops=1)

167. 0.473 0.473 ↓ 1.0 1,317 1

Seq Scan on datas_part_0000009000 (cost=0.00..178.16 rows=1,316 width=769) (actual time=0.018..0.473 rows=1,317 loops=1)

168. 7.164 7.164 ↑ 1.0 1,355 1

Seq Scan on datas_part_0000009001 (cost=0.00..173.64 rows=1,364 width=770) (actual time=0.014..7.164 rows=1,355 loops=1)

169. 8.696 8.696 ↓ 1.0 1,312 1

Seq Scan on datas_part_0000009002 (cost=0.00..181.01 rows=1,301 width=770) (actual time=0.017..8.696 rows=1,312 loops=1)

170. 2.798 2.798 ↓ 1.0 1,313 1

Seq Scan on datas_part_0000009003 (cost=0.00..168.06 rows=1,306 width=771) (actual time=0.014..2.798 rows=1,313 loops=1)

171. 1.407 1.407 ↑ 1.0 1,308 1

Seq Scan on datas_part_0000009004 (cost=0.00..168.08 rows=1,308 width=770) (actual time=0.016..1.407 rows=1,308 loops=1)

172. 0.737 0.737 ↑ 1.0 1,314 1

Seq Scan on datas_part_0000009005 (cost=0.00..173.14 rows=1,314 width=771) (actual time=0.015..0.737 rows=1,314 loops=1)

173. 3.381 3.381 ↑ 1.0 1,348 1

Seq Scan on datas_part_0000009006 (cost=0.00..182.48 rows=1,348 width=771) (actual time=0.017..3.381 rows=1,348 loops=1)

174. 0.580 0.580 ↑ 1.0 1,310 1

Seq Scan on datas_part_0000009007 (cost=0.00..170.10 rows=1,310 width=771) (actual time=0.076..0.580 rows=1,310 loops=1)

175. 4.469 4.469 ↑ 1.0 1,319 1

Seq Scan on datas_part_0000009008 (cost=0.00..190.19 rows=1,319 width=770) (actual time=0.013..4.469 rows=1,319 loops=1)

176. 0.484 0.484 ↑ 1.0 1,344 1

Seq Scan on datas_part_0000009009 (cost=0.00..172.44 rows=1,344 width=771) (actual time=0.016..0.484 rows=1,344 loops=1)

177. 12.328 12.328 ↑ 1.0 1,300 1

Seq Scan on datas_part_0000009010 (cost=0.00..188.00 rows=1,300 width=769) (actual time=0.019..12.328 rows=1,300 loops=1)

178. 0.981 0.981 ↑ 1.0 1,328 1

Seq Scan on datas_part_0000009011 (cost=0.00..197.28 rows=1,328 width=768) (actual time=0.014..0.981 rows=1,328 loops=1)

179. 0.446 0.446 ↑ 1.0 1,255 1

Seq Scan on datas_part_0000009012 (cost=0.00..162.55 rows=1,255 width=769) (actual time=0.012..0.446 rows=1,255 loops=1)

180. 0.463 0.463 ↑ 1.0 1,278 1

Seq Scan on datas_part_0000009013 (cost=0.00..172.78 rows=1,278 width=770) (actual time=0.020..0.463 rows=1,278 loops=1)

181. 0.496 0.496 ↑ 1.0 1,271 1

Seq Scan on datas_part_0000009014 (cost=0.00..175.71 rows=1,271 width=769) (actual time=0.033..0.496 rows=1,271 loops=1)

182. 0.492 0.492 ↑ 1.0 1,325 1

Seq Scan on datas_part_0000009015 (cost=0.00..182.25 rows=1,325 width=768) (actual time=0.032..0.492 rows=1,325 loops=1)

183. 0.492 0.492 ↑ 1.0 1,286 1

Seq Scan on datas_part_0000009016 (cost=0.00..187.86 rows=1,286 width=771) (actual time=0.036..0.492 rows=1,286 loops=1)

184. 2.692 2.692 ↑ 1.0 1,278 1

Seq Scan on datas_part_0000009017 (cost=0.00..165.78 rows=1,278 width=771) (actual time=0.016..2.692 rows=1,278 loops=1)

185. 8.210 8.210 ↑ 1.0 1,323 1

Seq Scan on datas_part_0000009018 (cost=0.00..186.23 rows=1,323 width=770) (actual time=0.034..8.210 rows=1,323 loops=1)

186. 0.506 0.506 ↓ 1.0 1,325 1

Seq Scan on datas_part_0000009019 (cost=0.00..184.24 rows=1,324 width=771) (actual time=0.021..0.506 rows=1,325 loops=1)

187. 0.664 0.664 ↑ 1.0 1,319 1

Seq Scan on datas_part_0000009020 (cost=0.00..182.19 rows=1,319 width=771) (actual time=0.017..0.664 rows=1,319 loops=1)

188. 0.524 0.524 ↑ 1.0 1,339 1

Seq Scan on datas_part_0000009021 (cost=0.00..191.39 rows=1,339 width=769) (actual time=0.019..0.524 rows=1,339 loops=1)

189. 0.464 0.464 ↑ 1.0 1,316 1

Seq Scan on datas_part_0000009022 (cost=0.00..153.16 rows=1,316 width=769) (actual time=0.020..0.464 rows=1,316 loops=1)

190. 0.478 0.478 ↑ 1.0 1,329 1

Seq Scan on datas_part_0000009023 (cost=0.00..187.29 rows=1,329 width=771) (actual time=0.019..0.478 rows=1,329 loops=1)

191. 1.667 1.667 ↑ 1.0 1,342 1

Seq Scan on datas_part_0000009024 (cost=0.00..180.42 rows=1,342 width=770) (actual time=0.019..1.667 rows=1,342 loops=1)

192. 0.708 0.708 ↑ 1.0 1,331 1

Seq Scan on datas_part_0000009025 (cost=0.00..175.31 rows=1,331 width=770) (actual time=0.016..0.708 rows=1,331 loops=1)

193. 0.466 0.466 ↑ 1.0 1,310 1

Seq Scan on datas_part_0000009026 (cost=0.00..168.10 rows=1,310 width=768) (actual time=0.018..0.466 rows=1,310 loops=1)

194. 0.491 0.491 ↑ 1.0 1,300 1

Seq Scan on datas_part_0000009027 (cost=0.00..174.00 rows=1,300 width=771) (actual time=0.018..0.491 rows=1,300 loops=1)

195. 0.518 0.518 ↑ 1.0 1,315 1

Seq Scan on datas_part_0000009028 (cost=0.00..180.15 rows=1,315 width=771) (actual time=0.020..0.518 rows=1,315 loops=1)

196. 0.886 0.886 ↑ 1.0 1,319 1

Seq Scan on datas_part_0000009029 (cost=0.00..176.19 rows=1,319 width=771) (actual time=0.018..0.886 rows=1,319 loops=1)

197. 0.492 0.492 ↑ 1.0 1,348 1

Seq Scan on datas_part_0000009030 (cost=0.00..182.48 rows=1,348 width=769) (actual time=0.018..0.492 rows=1,348 loops=1)

198. 0.529 0.529 ↑ 1.0 1,443 1

Seq Scan on datas_part_0000009031 (cost=0.00..217.43 rows=1,443 width=773) (actual time=0.017..0.529 rows=1,443 loops=1)

199. 0.468 0.468 ↑ 1.0 1,314 1

Seq Scan on datas_part_0000009032 (cost=0.00..191.14 rows=1,314 width=771) (actual time=0.014..0.468 rows=1,314 loops=1)

200. 0.675 0.675 ↑ 1.0 1,353 1

Seq Scan on datas_part_0000009033 (cost=0.00..196.53 rows=1,353 width=770) (actual time=0.017..0.675 rows=1,353 loops=1)

201. 19.352 19.352 ↑ 1.0 1,339 1

Seq Scan on datas_part_0000009034 (cost=0.00..191.39 rows=1,339 width=771) (actual time=0.018..19.352 rows=1,339 loops=1)

202. 0.494 0.494 ↑ 1.0 1,277 1

Seq Scan on datas_part_0000009035 (cost=0.00..195.77 rows=1,277 width=770) (actual time=0.020..0.494 rows=1,277 loops=1)

203. 0.449 0.449 ↑ 1.0 1,191 1

Seq Scan on datas_part_0000009036 (cost=0.00..182.91 rows=1,191 width=767) (actual time=0.016..0.449 rows=1,191 loops=1)

204. 6.775 6.775 ↑ 1.0 1,340 1

Seq Scan on datas_part_0000009037 (cost=0.00..209.40 rows=1,340 width=770) (actual time=0.018..6.775 rows=1,340 loops=1)

205. 0.499 0.499 ↑ 1.0 1,327 1

Seq Scan on datas_part_0000009038 (cost=0.00..195.27 rows=1,327 width=772) (actual time=0.024..0.499 rows=1,327 loops=1)

206. 0.471 0.471 ↑ 1.0 1,329 1

Seq Scan on datas_part_0000009039 (cost=0.00..184.29 rows=1,329 width=771) (actual time=0.017..0.471 rows=1,329 loops=1)

207. 0.471 0.471 ↑ 1.0 1,322 1

Seq Scan on datas_part_0000009040 (cost=0.00..185.22 rows=1,322 width=770) (actual time=0.016..0.471 rows=1,322 loops=1)

208. 0.484 0.484 ↑ 1.0 1,361 1

Seq Scan on datas_part_0000009041 (cost=0.00..188.61 rows=1,361 width=769) (actual time=0.019..0.484 rows=1,361 loops=1)

209. 0.495 0.495 ↑ 1.0 1,318 1

Seq Scan on datas_part_0000009042 (cost=0.00..186.18 rows=1,318 width=772) (actual time=0.019..0.495 rows=1,318 loops=1)

210. 0.484 0.484 ↑ 1.0 1,300 1

Seq Scan on datas_part_0000009043 (cost=0.00..156.00 rows=1,300 width=771) (actual time=0.018..0.484 rows=1,300 loops=1)

211. 0.528 0.528 ↑ 1.0 1,303 1

Seq Scan on datas_part_0000009044 (cost=0.00..188.03 rows=1,303 width=769) (actual time=0.014..0.528 rows=1,303 loops=1)

212. 0.456 0.456 ↑ 1.0 1,350 1

Seq Scan on datas_part_0000009045 (cost=0.00..181.50 rows=1,350 width=772) (actual time=0.016..0.456 rows=1,350 loops=1)

213. 0.466 0.466 ↑ 1.0 1,306 1

Seq Scan on datas_part_0000009046 (cost=0.00..159.06 rows=1,306 width=768) (actual time=0.019..0.466 rows=1,306 loops=1)

214. 0.469 0.469 ↑ 1.0 1,315 1

Seq Scan on datas_part_0000009047 (cost=0.00..189.15 rows=1,315 width=769) (actual time=0.015..0.469 rows=1,315 loops=1)

215. 0.556 0.556 ↑ 1.0 1,330 1

Seq Scan on datas_part_0000009048 (cost=0.00..173.30 rows=1,330 width=768) (actual time=0.013..0.556 rows=1,330 loops=1)

216. 0.844 0.844 ↑ 1.0 1,307 1

Seq Scan on datas_part_0000009049 (cost=0.00..181.07 rows=1,307 width=768) (actual time=0.027..0.844 rows=1,307 loops=1)

217. 0.589 0.589 ↑ 1.0 1,352 1

Seq Scan on datas_part_0000009050 (cost=0.00..176.52 rows=1,352 width=771) (actual time=0.016..0.589 rows=1,352 loops=1)

218. 1.206 1.206 ↑ 1.0 1,331 1

Seq Scan on datas_part_0000009051 (cost=0.00..190.31 rows=1,331 width=769) (actual time=0.020..1.206 rows=1,331 loops=1)

219. 4.988 4.988 ↑ 1.0 1,334 1

Seq Scan on datas_part_0000009052 (cost=0.00..181.34 rows=1,334 width=770) (actual time=0.014..4.988 rows=1,334 loops=1)

220. 0.351 0.351 ↑ 1.0 998 1

Seq Scan on datas_part_0000009053 (cost=0.00..136.98 rows=998 width=767) (actual time=0.015..0.351 rows=998 loops=1)

221. 0.532 0.532 ↑ 1.0 1,312 1

Seq Scan on datas_part_0000009054 (cost=0.00..211.12 rows=1,312 width=770) (actual time=0.014..0.532 rows=1,312 loops=1)

222. 0.513 0.513 ↑ 1.0 1,321 1

Seq Scan on datas_part_0000009056 (cost=0.00..200.21 rows=1,321 width=769) (actual time=0.018..0.513 rows=1,321 loops=1)

223. 0.469 0.469 ↑ 1.0 1,313 1

Seq Scan on datas_part_0000009057 (cost=0.00..179.13 rows=1,313 width=770) (actual time=0.017..0.469 rows=1,313 loops=1)

224. 0.471 0.471 ↑ 1.0 1,325 1

Seq Scan on datas_part_0000009058 (cost=0.00..175.25 rows=1,325 width=772) (actual time=0.019..0.471 rows=1,325 loops=1)

225. 0.475 0.475 ↑ 1.0 1,338 1

Seq Scan on datas_part_0000009059 (cost=0.00..181.38 rows=1,338 width=768) (actual time=0.017..0.475 rows=1,338 loops=1)

226. 0.453 0.453 ↑ 1.0 1,285 1

Seq Scan on datas_part_0000009061 (cost=0.00..164.85 rows=1,285 width=769) (actual time=0.018..0.453 rows=1,285 loops=1)

227. 0.470 0.470 ↑ 1.0 1,281 1

Seq Scan on datas_part_0000009062 (cost=0.00..178.81 rows=1,281 width=771) (actual time=0.019..0.470 rows=1,281 loops=1)

228. 0.437 0.437 ↑ 1.0 1,277 1

Seq Scan on datas_part_0000009063 (cost=0.00..162.77 rows=1,277 width=769) (actual time=0.018..0.437 rows=1,277 loops=1)

229. 0.455 0.455 ↑ 1.0 1,228 1

Seq Scan on datas_part_0000009064 (cost=0.00..165.28 rows=1,228 width=771) (actual time=0.018..0.455 rows=1,228 loops=1)

230. 0.547 0.547 ↑ 1.0 1,248 1

Seq Scan on datas_part_0000009066 (cost=0.00..171.48 rows=1,248 width=768) (actual time=0.020..0.547 rows=1,248 loops=1)

231. 0.470 0.470 ↑ 1.0 1,311 1

Seq Scan on datas_part_0000009067 (cost=0.00..164.11 rows=1,311 width=773) (actual time=0.017..0.470 rows=1,311 loops=1)

232. 0.465 0.465 ↑ 1.0 1,286 1

Seq Scan on datas_part_0000009068 (cost=0.00..156.86 rows=1,286 width=771) (actual time=0.019..0.465 rows=1,286 loops=1)

233. 0.502 0.502 ↑ 1.0 1,247 1

Seq Scan on datas_part_0000009069 (cost=0.00..168.47 rows=1,247 width=770) (actual time=0.018..0.502 rows=1,247 loops=1)

234. 0.502 0.502 ↑ 1.0 1,306 1

Seq Scan on datas_part_0000009070 (cost=0.00..154.06 rows=1,306 width=771) (actual time=0.017..0.502 rows=1,306 loops=1)

235. 0.531 0.531 ↑ 1.0 1,246 1

Seq Scan on datas_part_0000009071 (cost=0.00..176.46 rows=1,246 width=768) (actual time=0.037..0.531 rows=1,246 loops=1)

236. 0.524 0.524 ↑ 1.0 1,245 1

Seq Scan on datas_part_0000009072 (cost=0.00..160.45 rows=1,245 width=770) (actual time=0.045..0.524 rows=1,245 loops=1)

237. 4.241 4.241 ↑ 1.0 1,255 1

Seq Scan on datas_part_0000009073 (cost=0.00..182.55 rows=1,255 width=769) (actual time=0.045..4.241 rows=1,255 loops=1)

238. 0.487 0.487 ↑ 1.0 1,247 1

Seq Scan on datas_part_0000009074 (cost=0.00..175.47 rows=1,247 width=772) (actual time=0.021..0.487 rows=1,247 loops=1)

239. 0.445 0.445 ↑ 1.0 1,285 1

Seq Scan on datas_part_0000009075 (cost=0.00..156.85 rows=1,285 width=771) (actual time=0.012..0.445 rows=1,285 loops=1)

240. 0.450 0.450 ↑ 1.0 1,236 1

Seq Scan on datas_part_0000009076 (cost=0.00..164.36 rows=1,236 width=768) (actual time=0.018..0.450 rows=1,236 loops=1)

241. 0.448 0.448 ↑ 1.0 1,213 1

Seq Scan on datas_part_0000009077 (cost=0.00..164.13 rows=1,213 width=772) (actual time=0.020..0.448 rows=1,213 loops=1)

242. 0.455 0.455 ↑ 1.0 1,238 1

Seq Scan on datas_part_0000009078 (cost=0.00..170.38 rows=1,238 width=771) (actual time=0.018..0.455 rows=1,238 loops=1)

243. 22.408 22.408 ↑ 1.0 1,249 1

Seq Scan on datas_part_0000009079 (cost=0.00..162.49 rows=1,249 width=768) (actual time=0.016..22.408 rows=1,249 loops=1)

244. 3.592 3.592 ↑ 1.0 1,272 1

Seq Scan on datas_part_0000009080 (cost=0.00..167.72 rows=1,272 width=773) (actual time=2.759..3.592 rows=1,272 loops=1)

245. 0.436 0.436 ↑ 1.0 1,256 1

Seq Scan on datas_part_0000009081 (cost=0.00..157.56 rows=1,256 width=769) (actual time=0.012..0.436 rows=1,256 loops=1)

246. 0.465 0.465 ↑ 1.0 1,279 1

Seq Scan on datas_part_0000009082 (cost=0.00..170.79 rows=1,279 width=769) (actual time=0.018..0.465 rows=1,279 loops=1)

247. 0.555 0.555 ↑ 1.0 1,273 1

Seq Scan on datas_part_0000009083 (cost=0.00..181.73 rows=1,273 width=771) (actual time=0.019..0.555 rows=1,273 loops=1)

248. 0.466 0.466 ↑ 1.0 1,244 1

Seq Scan on datas_part_0000009085 (cost=0.00..161.44 rows=1,244 width=769) (actual time=0.019..0.466 rows=1,244 loops=1)

249. 0.579 0.579 ↑ 1.0 1,258 1

Seq Scan on datas_part_0000009087 (cost=0.00..165.58 rows=1,258 width=768) (actual time=0.019..0.579 rows=1,258 loops=1)

250. 0.563 0.563 ↑ 1.0 1,233 1

Seq Scan on datas_part_0000009088 (cost=0.00..179.33 rows=1,233 width=769) (actual time=0.016..0.563 rows=1,233 loops=1)

251. 0.449 0.449 ↓ 1.0 1,255 1

Seq Scan on datas_part_0000009089 (cost=0.00..166.48 rows=1,248 width=770) (actual time=0.017..0.449 rows=1,255 loops=1)

252. 0.464 0.464 ↓ 1.0 1,256 1

Seq Scan on datas_part_0000009090 (cost=0.00..164.50 rows=1,250 width=769) (actual time=0.018..0.464 rows=1,256 loops=1)

253. 0.342 0.342 ↑ 1.0 980 1

Seq Scan on datas_part_0000009091 (cost=0.00..127.80 rows=980 width=772) (actual time=0.016..0.342 rows=980 loops=1)

254. 0.479 0.479 ↓ 1.0 1,244 1

Seq Scan on datas_part_0000009092 (cost=0.00..170.36 rows=1,236 width=770) (actual time=0.017..0.479 rows=1,244 loops=1)

255. 0.463 0.463 ↓ 1.0 1,255 1

Seq Scan on datas_part_0000009093 (cost=0.00..172.47 rows=1,247 width=772) (actual time=0.016..0.463 rows=1,255 loops=1)

256. 4.036 4.036 ↑ 1.0 1,268 1

Seq Scan on datas_part_0000009094 (cost=0.00..161.68 rows=1,268 width=771) (actual time=0.016..4.036 rows=1,268 loops=1)

257. 0.447 0.447 ↑ 1.0 1,216 1

Seq Scan on datas_part_0000009095 (cost=0.00..158.16 rows=1,216 width=770) (actual time=0.014..0.447 rows=1,216 loops=1)

258. 0.492 0.492 ↑ 1.0 1,197 1

Seq Scan on datas_part_0000009096 (cost=0.00..160.97 rows=1,197 width=768) (actual time=0.019..0.492 rows=1,197 loops=1)

259. 4.772 4.772 ↑ 1.0 1,289 1

Seq Scan on datas_part_0000009097 (cost=0.00..180.89 rows=1,289 width=770) (actual time=0.017..4.772 rows=1,289 loops=1)

260. 0.545 0.545 ↓ 1.0 1,321 1

Seq Scan on datas_part_0000009098 (cost=0.00..176.12 rows=1,312 width=771) (actual time=0.039..0.545 rows=1,321 loops=1)

261. 0.505 0.505 ↑ 1.0 1,259 1

Seq Scan on datas_part_0000009099 (cost=0.00..167.59 rows=1,259 width=770) (actual time=0.036..0.505 rows=1,259 loops=1)

262. 0.476 0.476 ↑ 1.0 1,224 1

Seq Scan on datas_part_0000009100 (cost=0.00..151.24 rows=1,224 width=774) (actual time=0.042..0.476 rows=1,224 loops=1)

263. 0.479 0.479 ↑ 1.0 1,202 1

Seq Scan on datas_part_0000009101 (cost=0.00..159.02 rows=1,202 width=774) (actual time=0.037..0.479 rows=1,202 loops=1)

264. 0.897 0.897 ↑ 1.0 1,288 1

Seq Scan on datas_part_0000009102 (cost=0.00..170.88 rows=1,288 width=772) (actual time=0.039..0.897 rows=1,288 loops=1)

265. 0.474 0.474 ↑ 1.0 1,203 1

Seq Scan on datas_part_0000009104 (cost=0.00..150.03 rows=1,203 width=773) (actual time=0.036..0.474 rows=1,203 loops=1)

266. 1.277 1.277 ↑ 1.0 1,208 1

Seq Scan on datas_part_0000009105 (cost=0.00..153.08 rows=1,208 width=769) (actual time=0.015..1.277 rows=1,208 loops=1)

267. 0.307 0.307 ↑ 1.0 814 1

Seq Scan on datas_part_0000009106 (cost=0.00..110.14 rows=814 width=761) (actual time=0.016..0.307 rows=814 loops=1)

268. 0.440 0.440 ↑ 1.0 1,178 1

Seq Scan on datas_part_0000009107 (cost=0.00..153.78 rows=1,178 width=774) (actual time=0.017..0.440 rows=1,178 loops=1)

269. 0.452 0.452 ↑ 1.0 1,222 1

Seq Scan on datas_part_0000009108 (cost=0.00..158.22 rows=1,222 width=769) (actual time=0.019..0.452 rows=1,222 loops=1)

270. 0.430 0.430 ↑ 1.0 706 1

Seq Scan on datas_part_0000009109 (cost=0.00..107.06 rows=706 width=755) (actual time=0.018..0.430 rows=706 loops=1)

271. 0.410 0.410 ↑ 1.0 1,233 1

Seq Scan on datas_part_0000009110 (cost=0.00..156.33 rows=1,233 width=770) (actual time=0.016..0.410 rows=1,233 loops=1)

272. 0.448 0.448 ↑ 1.0 1,252 1

Seq Scan on datas_part_0000009111 (cost=0.00..154.52 rows=1,252 width=771) (actual time=0.017..0.448 rows=1,252 loops=1)

273. 0.951 0.951 ↑ 1.0 1,257 1

Seq Scan on datas_part_0000009112 (cost=0.00..168.57 rows=1,257 width=769) (actual time=0.013..0.951 rows=1,257 loops=1)

274. 0.809 0.809 ↑ 1.0 1,234 1

Seq Scan on datas_part_0000009113 (cost=0.00..148.34 rows=1,234 width=771) (actual time=0.015..0.809 rows=1,234 loops=1)

275. 0.753 0.753 ↑ 1.0 1,217 1

Seq Scan on datas_part_0000009114 (cost=0.00..154.17 rows=1,217 width=772) (actual time=0.015..0.753 rows=1,217 loops=1)

276. 0.420 0.420 ↑ 1.0 1,222 1

Seq Scan on datas_part_0000009115 (cost=0.00..152.22 rows=1,222 width=772) (actual time=0.015..0.420 rows=1,222 loops=1)

277. 0.448 0.448 ↑ 1.0 1,200 1

Seq Scan on datas_part_0000009116 (cost=0.00..160.00 rows=1,200 width=771) (actual time=0.019..0.448 rows=1,200 loops=1)

278. 0.447 0.447 ↑ 1.0 1,220 1

Seq Scan on datas_part_0000009117 (cost=0.00..154.20 rows=1,220 width=769) (actual time=0.019..0.447 rows=1,220 loops=1)

279. 2.636 2.636 ↑ 1.0 1,254 1

Seq Scan on datas_part_0000009118 (cost=0.00..163.54 rows=1,254 width=770) (actual time=2.182..2.636 rows=1,254 loops=1)

280. 0.448 0.448 ↑ 1.0 1,196 1

Seq Scan on datas_part_0000009119 (cost=0.00..150.96 rows=1,196 width=771) (actual time=0.018..0.448 rows=1,196 loops=1)

281. 0.444 0.444 ↑ 1.0 1,264 1

Seq Scan on datas_part_0000009120 (cost=0.00..159.64 rows=1,264 width=769) (actual time=0.019..0.444 rows=1,264 loops=1)

282. 0.433 0.433 ↑ 1.0 1,267 1

Seq Scan on datas_part_0000009121 (cost=0.00..156.67 rows=1,267 width=771) (actual time=0.019..0.433 rows=1,267 loops=1)

283. 0.450 0.450 ↑ 1.0 1,258 1

Seq Scan on datas_part_0000009122 (cost=0.00..172.58 rows=1,258 width=772) (actual time=0.016..0.450 rows=1,258 loops=1)

284. 0.538 0.538 ↑ 1.0 1,264 1

Seq Scan on datas_part_0000009123 (cost=0.00..157.64 rows=1,264 width=770) (actual time=0.019..0.538 rows=1,264 loops=1)

285. 0.487 0.487 ↑ 1.0 1,265 1

Seq Scan on datas_part_0000009124 (cost=0.00..159.65 rows=1,265 width=770) (actual time=0.015..0.487 rows=1,265 loops=1)

286. 0.456 0.456 ↑ 1.0 1,279 1

Seq Scan on datas_part_0000009125 (cost=0.00..166.79 rows=1,279 width=772) (actual time=0.016..0.456 rows=1,279 loops=1)

287. 0.474 0.474 ↑ 1.0 1,266 1

Seq Scan on datas_part_0000009126 (cost=0.00..165.66 rows=1,266 width=770) (actual time=0.019..0.474 rows=1,266 loops=1)

288. 0.958 0.958 ↑ 1.0 1,324 1

Seq Scan on datas_part_0000009127 (cost=0.00..176.24 rows=1,324 width=770) (actual time=0.037..0.958 rows=1,324 loops=1)

289. 0.475 0.475 ↑ 1.0 1,267 1

Seq Scan on datas_part_0000009128 (cost=0.00..175.67 rows=1,267 width=770) (actual time=0.017..0.475 rows=1,267 loops=1)

290. 21.695 21.695 ↑ 1.0 1,300 1

Seq Scan on datas_part_0000009129 (cost=0.00..176.00 rows=1,300 width=771) (actual time=0.019..21.695 rows=1,300 loops=1)

291. 0.617 0.617 ↑ 1.0 1,293 1

Seq Scan on datas_part_0000009130 (cost=0.00..177.93 rows=1,293 width=770) (actual time=0.013..0.617 rows=1,293 loops=1)

292. 0.434 0.434 ↑ 1.0 1,231 1

Seq Scan on datas_part_0000009131 (cost=0.00..169.31 rows=1,231 width=769) (actual time=0.016..0.434 rows=1,231 loops=1)

293. 0.805 0.805 ↑ 1.0 1,333 1

Seq Scan on datas_part_0000009132 (cost=0.00..188.33 rows=1,333 width=769) (actual time=0.045..0.805 rows=1,333 loops=1)

294. 0.725 0.725 ↑ 1.0 1,261 1

Seq Scan on datas_part_0000009133 (cost=0.00..168.61 rows=1,261 width=770) (actual time=0.045..0.725 rows=1,261 loops=1)

295. 0.539 0.539 ↑ 1.0 1,268 1

Seq Scan on datas_part_0000009134 (cost=0.00..188.68 rows=1,268 width=771) (actual time=0.048..0.539 rows=1,268 loops=1)

296. 8.858 8.858 ↑ 1.0 1,223 1

Seq Scan on datas_part_0000009135 (cost=0.00..175.23 rows=1,223 width=771) (actual time=0.018..8.858 rows=1,223 loops=1)

297. 0.469 0.469 ↑ 1.0 1,324 1

Seq Scan on datas_part_0000009136 (cost=0.00..183.24 rows=1,324 width=769) (actual time=0.013..0.469 rows=1,324 loops=1)

298. 19.977 19.977 ↑ 1.0 1,312 1

Seq Scan on datas_part_0000009137 (cost=0.00..168.12 rows=1,312 width=769) (actual time=0.019..19.977 rows=1,312 loops=1)

299. 0.456 0.456 ↑ 1.0 1,339 1

Seq Scan on datas_part_0000009138 (cost=0.00..149.39 rows=1,339 width=770) (actual time=0.017..0.456 rows=1,339 loops=1)

300. 0.518 0.518 ↑ 1.0 1,258 1

Seq Scan on datas_part_0000009139 (cost=0.00..204.58 rows=1,258 width=772) (actual time=0.019..0.518 rows=1,258 loops=1)

301. 0.577 0.577 ↑ 1.0 1,255 1

Seq Scan on datas_part_0000009140 (cost=0.00..193.55 rows=1,255 width=773) (actual time=0.019..0.577 rows=1,255 loops=1)

302. 0.430 0.430 ↑ 1.0 948 1

Seq Scan on datas_part_0000009141 (cost=0.00..136.48 rows=948 width=763) (actual time=0.045..0.430 rows=948 loops=1)

303. 0.511 0.511 ↑ 1.0 1,295 1

Seq Scan on datas_part_0000009142 (cost=0.00..152.95 rows=1,295 width=768) (actual time=0.035..0.511 rows=1,295 loops=1)

304. 0.873 0.873 ↑ 1.0 1,272 1

Seq Scan on datas_part_0000009144 (cost=0.00..194.72 rows=1,272 width=773) (actual time=0.019..0.873 rows=1,272 loops=1)

305. 0.489 0.489 ↑ 1.0 1,295 1

Seq Scan on datas_part_0000009145 (cost=0.00..174.95 rows=1,295 width=766) (actual time=0.015..0.489 rows=1,295 loops=1)

306. 0.513 0.513 ↑ 1.0 1,243 1

Seq Scan on datas_part_0000009146 (cost=0.00..173.43 rows=1,243 width=769) (actual time=0.019..0.513 rows=1,243 loops=1)

307. 0.452 0.452 ↑ 1.0 1,268 1

Seq Scan on datas_part_0000009148 (cost=0.00..183.68 rows=1,268 width=771) (actual time=0.020..0.452 rows=1,268 loops=1)

308. 3.185 3.185 ↑ 1.0 1,278 1

Seq Scan on datas_part_0000009149 (cost=0.00..181.78 rows=1,278 width=770) (actual time=0.037..3.185 rows=1,278 loops=1)

309. 0.471 0.471 ↑ 1.0 1,320 1

Seq Scan on datas_part_0000009150 (cost=0.00..160.20 rows=1,320 width=770) (actual time=0.034..0.471 rows=1,320 loops=1)

310. 0.457 0.457 ↑ 1.0 1,234 1

Seq Scan on datas_part_0000009151 (cost=0.00..168.34 rows=1,234 width=771) (actual time=0.014..0.457 rows=1,234 loops=1)

311. 0.539 0.539 ↑ 1.0 1,324 1

Seq Scan on datas_part_0000009152 (cost=0.00..177.24 rows=1,324 width=769) (actual time=0.038..0.539 rows=1,324 loops=1)

312. 0.500 0.500 ↑ 1.0 1,252 1

Seq Scan on datas_part_0000009153 (cost=0.00..191.52 rows=1,252 width=771) (actual time=0.038..0.500 rows=1,252 loops=1)

313. 0.495 0.495 ↑ 1.0 1,314 1

Seq Scan on datas_part_0000009154 (cost=0.00..182.14 rows=1,314 width=769) (actual time=0.036..0.495 rows=1,314 loops=1)

314. 0.503 0.503 ↑ 1.0 1,255 1

Seq Scan on datas_part_0000009155 (cost=0.00..194.55 rows=1,255 width=773) (actual time=0.033..0.503 rows=1,255 loops=1)

315. 0.462 0.462 ↑ 1.0 1,267 1

Seq Scan on datas_part_0000009156 (cost=0.00..201.67 rows=1,267 width=771) (actual time=0.024..0.462 rows=1,267 loops=1)

316. 0.468 0.468 ↑ 1.0 1,276 1

Seq Scan on datas_part_0000009158 (cost=0.00..184.76 rows=1,276 width=773) (actual time=0.033..0.468 rows=1,276 loops=1)

317. 0.497 0.497 ↑ 1.0 1,305 1

Seq Scan on datas_part_0000009159 (cost=0.00..166.05 rows=1,305 width=768) (actual time=0.065..0.497 rows=1,305 loops=1)

318. 0.498 0.498 ↑ 1.0 1,287 1

Seq Scan on datas_part_0000009160 (cost=0.00..181.87 rows=1,287 width=773) (actual time=0.029..0.498 rows=1,287 loops=1)

319. 0.499 0.499 ↑ 1.0 1,325 1

Seq Scan on datas_part_0000009161 (cost=0.00..165.25 rows=1,325 width=770) (actual time=0.031..0.499 rows=1,325 loops=1)

320. 0.963 0.963 ↑ 1.0 1,257 1

Seq Scan on datas_part_0000009162 (cost=0.00..187.57 rows=1,257 width=770) (actual time=0.055..0.963 rows=1,257 loops=1)

321. 0.546 0.546 ↑ 1.0 1,286 1

Seq Scan on datas_part_0000009163 (cost=0.00..192.86 rows=1,286 width=770) (actual time=0.027..0.546 rows=1,286 loops=1)

322. 12.150 12.150 ↑ 1.0 1,285 1

Seq Scan on datas_part_0000009164 (cost=0.00..180.85 rows=1,285 width=771) (actual time=0.040..12.150 rows=1,285 loops=1)

323. 0.573 0.573 ↑ 1.0 1,314 1

Seq Scan on datas_part_0000009165 (cost=0.00..179.14 rows=1,314 width=770) (actual time=0.064..0.573 rows=1,314 loops=1)

324. 0.657 0.657 ↑ 1.0 1,324 1

Seq Scan on datas_part_0000009166 (cost=0.00..184.24 rows=1,324 width=770) (actual time=0.042..0.657 rows=1,324 loops=1)

325. 0.530 0.530 ↑ 1.0 1,332 1

Seq Scan on datas_part_0000009167 (cost=0.00..180.32 rows=1,332 width=770) (actual time=0.038..0.530 rows=1,332 loops=1)

326. 0.496 0.496 ↑ 1.0 1,304 1

Seq Scan on datas_part_0000009168 (cost=0.00..210.04 rows=1,304 width=768) (actual time=0.019..0.496 rows=1,304 loops=1)

327. 0.457 0.457 ↑ 1.0 1,313 1

Seq Scan on datas_part_0000009169 (cost=0.00..182.13 rows=1,313 width=769) (actual time=0.019..0.457 rows=1,313 loops=1)

328. 0.455 0.455 ↑ 1.0 1,264 1

Seq Scan on datas_part_0000009170 (cost=0.00..185.64 rows=1,264 width=768) (actual time=0.018..0.455 rows=1,264 loops=1)

329. 0.526 0.526 ↑ 1.0 1,348 1

Seq Scan on datas_part_0000009171 (cost=0.00..190.51 rows=1,351 width=771) (actual time=0.035..0.526 rows=1,348 loops=1)

330. 0.490 0.490 ↑ 1.0 1,316 1

Seq Scan on datas_part_0000009172 (cost=0.00..180.16 rows=1,316 width=772) (actual time=0.034..0.490 rows=1,316 loops=1)

331. 0.478 0.478 ↑ 1.0 1,321 1

Seq Scan on datas_part_0000009173 (cost=0.00..177.21 rows=1,321 width=769) (actual time=0.023..0.478 rows=1,321 loops=1)

332. 0.481 0.481 ↑ 1.0 1,327 1

Seq Scan on datas_part_0000009174 (cost=0.00..196.27 rows=1,327 width=772) (actual time=0.019..0.481 rows=1,327 loops=1)

333. 0.483 0.483 ↑ 1.0 1,330 1

Seq Scan on datas_part_0000009175 (cost=0.00..175.30 rows=1,330 width=769) (actual time=0.025..0.483 rows=1,330 loops=1)

334. 1.316 1.316 ↑ 1.0 1,336 1

Seq Scan on datas_part_0000009176 (cost=0.00..202.36 rows=1,336 width=773) (actual time=0.014..1.316 rows=1,336 loops=1)

335. 0.496 0.496 ↑ 1.0 1,331 1

Seq Scan on datas_part_0000009178 (cost=0.00..183.31 rows=1,331 width=771) (actual time=0.014..0.496 rows=1,331 loops=1)

336. 0.467 0.467 ↑ 1.0 1,331 1

Seq Scan on datas_part_0000009179 (cost=0.00..175.31 rows=1,331 width=769) (actual time=0.017..0.467 rows=1,331 loops=1)

337. 0.478 0.478 ↑ 1.0 1,327 1

Seq Scan on datas_part_0000009180 (cost=0.00..176.27 rows=1,327 width=769) (actual time=0.017..0.478 rows=1,327 loops=1)

338. 0.557 0.557 ↑ 1.0 1,332 1

Seq Scan on datas_part_0000009181 (cost=0.00..166.32 rows=1,332 width=772) (actual time=0.018..0.557 rows=1,332 loops=1)

339. 0.600 0.600 ↑ 1.0 1,351 1

Seq Scan on datas_part_0000009182 (cost=0.00..192.84 rows=1,384 width=771) (actual time=0.021..0.600 rows=1,351 loops=1)

340. 0.640 0.640 ↑ 1.0 1,330 1

Seq Scan on datas_part_0000009183 (cost=0.00..196.67 rows=1,367 width=770) (actual time=0.016..0.640 rows=1,330 loops=1)

341. 0.478 0.478 ↑ 1.0 1,330 1

Seq Scan on datas_part_0000009184 (cost=0.00..192.30 rows=1,330 width=769) (actual time=0.014..0.478 rows=1,330 loops=1)

342. 0.471 0.471 ↑ 1.0 1,323 1

Seq Scan on datas_part_0000009185 (cost=0.00..193.23 rows=1,323 width=771) (actual time=0.018..0.471 rows=1,323 loops=1)

343. 0.468 0.468 ↑ 1.0 1,332 1

Seq Scan on datas_part_0000009186 (cost=0.00..177.32 rows=1,332 width=770) (actual time=0.018..0.468 rows=1,332 loops=1)

344. 0.508 0.508 ↑ 1.0 1,332 1

Seq Scan on datas_part_0000009187 (cost=0.00..176.32 rows=1,332 width=773) (actual time=0.014..0.508 rows=1,332 loops=1)

345. 0.465 0.465 ↑ 1.0 1,319 1

Seq Scan on datas_part_0000009188 (cost=0.00..184.19 rows=1,319 width=771) (actual time=0.016..0.465 rows=1,319 loops=1)

346. 0.489 0.489 ↑ 1.0 1,320 1

Seq Scan on datas_part_0000009189 (cost=0.00..177.20 rows=1,320 width=769) (actual time=0.017..0.489 rows=1,320 loops=1)

347. 0.521 0.521 ↑ 1.0 1,324 1

Seq Scan on datas_part_0000009190 (cost=0.00..186.24 rows=1,324 width=773) (actual time=0.022..0.521 rows=1,324 loops=1)

348. 0.523 0.523 ↑ 1.0 1,319 1

Seq Scan on datas_part_0000009191 (cost=0.00..191.19 rows=1,319 width=771) (actual time=0.023..0.523 rows=1,319 loops=1)

349. 0.541 0.541 ↑ 1.0 1,325 1

Seq Scan on datas_part_0000009192 (cost=0.00..179.25 rows=1,325 width=772) (actual time=0.025..0.541 rows=1,325 loops=1)

350. 0.525 0.525 ↑ 1.0 1,323 1

Seq Scan on datas_part_0000009193 (cost=0.00..211.23 rows=1,323 width=773) (actual time=0.015..0.525 rows=1,323 loops=1)

351. 0.024 0.024 ↑ 1.0 40 1

Seq Scan on datas_part_0000009195 (cost=0.00..3.40 rows=40 width=382) (actual time=0.016..0.024 rows=40 loops=1)

352. 0.482 0.482 ↑ 1.0 1,313 1

Seq Scan on datas_part_0000009196 (cost=0.00..197.13 rows=1,313 width=769) (actual time=0.011..0.482 rows=1,313 loops=1)

353. 9.261 9.261 ↑ 1.0 1,300 1

Seq Scan on datas_part_0000009197 (cost=0.00..191.00 rows=1,300 width=770) (actual time=0.019..9.261 rows=1,300 loops=1)

354. 0.470 0.470 ↑ 1.0 1,327 1

Seq Scan on datas_part_0000009198 (cost=0.00..182.27 rows=1,327 width=772) (actual time=0.014..0.470 rows=1,327 loops=1)

355. 1.310 1.310 ↑ 1.0 1,309 1

Seq Scan on datas_part_0000009199 (cost=0.00..170.09 rows=1,309 width=769) (actual time=0.019..1.310 rows=1,309 loops=1)

356. 0.505 0.505 ↑ 1.0 1,304 1

Seq Scan on datas_part_0000009200 (cost=0.00..201.04 rows=1,304 width=771) (actual time=0.014..0.505 rows=1,304 loops=1)

357. 8.712 8.712 ↑ 1.0 1,295 1

Seq Scan on datas_part_0000009201 (cost=0.00..185.95 rows=1,295 width=771) (actual time=0.016..8.712 rows=1,295 loops=1)

358. 0.474 0.474 ↑ 1.0 1,317 1

Seq Scan on datas_part_0000009202 (cost=0.00..169.17 rows=1,317 width=769) (actual time=0.013..0.474 rows=1,317 loops=1)

359. 0.711 0.711 ↑ 1.0 1,318 1

Seq Scan on datas_part_0000009203 (cost=0.00..179.18 rows=1,318 width=773) (actual time=0.019..0.711 rows=1,318 loops=1)

360. 0.607 0.607 ↑ 1.0 1,332 1

Seq Scan on datas_part_0000009204 (cost=0.00..182.32 rows=1,332 width=771) (actual time=0.019..0.607 rows=1,332 loops=1)

361. 0.521 0.521 ↑ 1.0 1,309 1

Seq Scan on datas_part_0000009205 (cost=0.00..188.09 rows=1,309 width=770) (actual time=0.016..0.521 rows=1,309 loops=1)

362. 0.514 0.514 ↑ 1.0 1,336 1

Seq Scan on datas_part_0000009207 (cost=0.00..177.36 rows=1,336 width=773) (actual time=0.014..0.514 rows=1,336 loops=1)

363. 0.532 0.532 ↑ 1.0 1,320 1

Seq Scan on datas_part_0000009208 (cost=0.00..198.20 rows=1,320 width=772) (actual time=0.014..0.532 rows=1,320 loops=1)

364. 1.617 1.617 ↑ 1.0 1,272 1

Seq Scan on datas_part_0000009209 (cost=0.00..167.72 rows=1,272 width=771) (actual time=0.016..1.617 rows=1,272 loops=1)

365. 0.526 0.526 ↑ 1.0 1,329 1

Seq Scan on datas_part_0000009210 (cost=0.00..183.29 rows=1,329 width=772) (actual time=0.014..0.526 rows=1,329 loops=1)

366. 0.494 0.494 ↑ 1.0 1,327 1

Seq Scan on datas_part_0000009211 (cost=0.00..159.27 rows=1,327 width=770) (actual time=0.016..0.494 rows=1,327 loops=1)

367. 0.463 0.463 ↑ 1.0 1,329 1

Seq Scan on datas_part_0000009212 (cost=0.00..170.29 rows=1,329 width=772) (actual time=0.015..0.463 rows=1,329 loops=1)

368. 0.482 0.482 ↓ 1.0 1,342 1

Seq Scan on datas_part_0000009213 (cost=0.00..183.31 rows=1,331 width=770) (actual time=0.018..0.482 rows=1,342 loops=1)

369. 0.527 0.527 ↓ 1.0 1,317 1

Seq Scan on datas_part_0000009214 (cost=0.00..172.09 rows=1,309 width=771) (actual time=0.020..0.527 rows=1,317 loops=1)

370. 0.461 0.461 ↓ 1.0 1,312 1

Seq Scan on datas_part_0000009215 (cost=0.00..175.05 rows=1,305 width=771) (actual time=0.017..0.461 rows=1,312 loops=1)

371. 0.528 0.528 ↓ 1.0 1,281 1

Seq Scan on datas_part_0000009216 (cost=0.00..175.72 rows=1,272 width=764) (actual time=0.020..0.528 rows=1,281 loops=1)

372. 1.567 1.567 ↓ 1.0 1,307 1

Seq Scan on datas_part_0000009217 (cost=0.00..185.96 rows=1,296 width=769) (actual time=0.040..1.567 rows=1,307 loops=1)

373. 0.505 0.505 ↓ 1.0 1,309 1

Seq Scan on datas_part_0000009218 (cost=0.00..172.07 rows=1,307 width=769) (actual time=0.020..0.505 rows=1,309 loops=1)

374. 0.509 0.509 ↓ 1.0 1,334 1

Seq Scan on datas_part_0000009219 (cost=0.00..204.27 rows=1,327 width=767) (actual time=0.033..0.509 rows=1,334 loops=1)

375. 0.506 0.506 ↓ 1.0 1,316 1

Seq Scan on datas_part_0000009220 (cost=0.00..186.05 rows=1,305 width=772) (actual time=0.020..0.506 rows=1,316 loops=1)

376. 0.488 0.488 ↓ 1.0 1,310 1

Seq Scan on datas_part_0000009221 (cost=0.00..200.97 rows=1,297 width=769) (actual time=0.015..0.488 rows=1,310 loops=1)

377. 0.445 0.445 ↓ 1.0 1,239 1

Seq Scan on datas_part_0000009222 (cost=0.00..163.33 rows=1,233 width=768) (actual time=0.019..0.445 rows=1,239 loops=1)

378. 13.517 13.517 ↓ 1.0 1,315 1

Seq Scan on datas_part_0000009223 (cost=0.00..192.03 rows=1,303 width=770) (actual time=0.017..13.517 rows=1,315 loops=1)

379. 1.125 1.125 ↓ 1.0 1,308 1

Seq Scan on datas_part_0000009224 (cost=0.00..180.76 rows=1,276 width=772) (actual time=0.022..1.125 rows=1,308 loops=1)

380. 5.059 5.059 ↑ 1.0 1,302 1

Seq Scan on datas_part_0000009225 (cost=0.00..199.08 rows=1,308 width=770) (actual time=0.015..5.059 rows=1,302 loops=1)

381. 0.537 0.537 ↑ 1.0 1,321 1

Seq Scan on datas_part_0000009226 (cost=0.00..195.31 rows=1,331 width=769) (actual time=0.015..0.537 rows=1,321 loops=1)

382. 0.692 0.692 ↑ 1.0 1,317 1

Seq Scan on datas_part_0000009227 (cost=0.00..175.34 rows=1,334 width=770) (actual time=0.018..0.692 rows=1,317 loops=1)

383. 0.492 0.492 ↑ 1.0 1,287 1

Seq Scan on datas_part_0000009228 (cost=0.00..168.87 rows=1,287 width=769) (actual time=0.012..0.492 rows=1,287 loops=1)

384. 0.459 0.459 ↓ 1.0 1,302 1

Seq Scan on datas_part_0000009229 (cost=0.00..176.93 rows=1,293 width=769) (actual time=0.016..0.459 rows=1,302 loops=1)

385. 0.459 0.459 ↓ 1.0 1,281 1

Seq Scan on datas_part_0000009230 (cost=0.00..165.74 rows=1,274 width=768) (actual time=0.016..0.459 rows=1,281 loops=1)

386. 0.465 0.465 ↑ 1.0 1,316 1

Seq Scan on datas_part_0000009231 (cost=0.00..173.42 rows=1,342 width=767) (actual time=0.020..0.465 rows=1,316 loops=1)

387. 0.249 0.249 ↓ 1.0 629 1

Seq Scan on datas_part_0000009232 (cost=0.00..93.16 rows=616 width=754) (actual time=0.018..0.249 rows=629 loops=1)

388. 0.615 0.615 ↓ 1.0 1,331 1

Seq Scan on datas_part_0000009234 (cost=0.00..185.27 rows=1,327 width=770) (actual time=0.020..0.615 rows=1,331 loops=1)

389. 0.502 0.502 ↓ 1.0 1,323 1

Seq Scan on datas_part_0000009235 (cost=0.00..182.13 rows=1,313 width=770) (actual time=0.017..0.502 rows=1,323 loops=1)

390. 0.472 0.472 ↓ 1.0 1,314 1

Seq Scan on datas_part_0000009236 (cost=0.00..170.06 rows=1,306 width=771) (actual time=0.021..0.472 rows=1,314 loops=1)

391. 0.448 0.448 ↑ 1.0 1,266 1

Seq Scan on datas_part_0000009237 (cost=0.00..170.66 rows=1,266 width=769) (actual time=0.019..0.448 rows=1,266 loops=1)

392. 0.844 0.844 ↓ 1.0 1,307 1

Seq Scan on datas_part_0000009238 (cost=0.00..184.96 rows=1,296 width=769) (actual time=0.018..0.844 rows=1,307 loops=1)

393. 0.508 0.508 ↓ 1.0 1,315 1

Seq Scan on datas_part_0000009239 (cost=0.00..176.06 rows=1,306 width=769) (actual time=0.023..0.508 rows=1,315 loops=1)

394. 0.466 0.466 ↓ 1.0 1,279 1

Seq Scan on datas_part_0000009240 (cost=0.00..174.71 rows=1,271 width=772) (actual time=0.019..0.466 rows=1,279 loops=1)

395. 0.492 0.492 ↓ 1.0 1,295 1

Seq Scan on datas_part_0000009241 (cost=0.00..195.89 rows=1,289 width=769) (actual time=0.017..0.492 rows=1,295 loops=1)

396. 0.592 0.592 ↓ 1.0 1,307 1

Seq Scan on datas_part_0000009242 (cost=0.00..185.97 rows=1,297 width=770) (actual time=0.044..0.592 rows=1,307 loops=1)

397. 0.470 0.470 ↑ 1.0 1,307 1

Seq Scan on datas_part_0000009243 (cost=0.00..189.07 rows=1,307 width=770) (actual time=0.013..0.470 rows=1,307 loops=1)

398. 0.466 0.466 ↓ 1.0 1,325 1

Seq Scan on datas_part_0000009244 (cost=0.00..172.18 rows=1,318 width=771) (actual time=0.019..0.466 rows=1,325 loops=1)

399. 0.482 0.482 ↑ 1.0 1,330 1

Seq Scan on datas_part_0000009245 (cost=0.00..183.43 rows=1,343 width=770) (actual time=0.017..0.482 rows=1,330 loops=1)

400. 0.471 0.471 ↓ 1.0 1,313 1

Seq Scan on datas_part_0000009246 (cost=0.00..193.01 rows=1,301 width=769) (actual time=0.016..0.471 rows=1,313 loops=1)

401. 0.450 0.450 ↓ 1.0 1,321 1

Seq Scan on datas_part_0000009247 (cost=0.00..173.97 rows=1,297 width=771) (actual time=0.015..0.450 rows=1,321 loops=1)

402. 0.487 0.487 ↓ 1.0 1,329 1

Seq Scan on datas_part_0000009248 (cost=0.00..197.87 rows=1,287 width=771) (actual time=0.018..0.487 rows=1,329 loops=1)

403. 0.439 0.439 ↑ 1.0 1,287 1

Seq Scan on datas_part_0000009249 (cost=0.00..178.87 rows=1,287 width=769) (actual time=0.014..0.439 rows=1,287 loops=1)

404. 0.479 0.479 ↓ 1.0 1,297 1

Seq Scan on datas_part_0000009250 (cost=0.00..159.92 rows=1,292 width=767) (actual time=0.035..0.479 rows=1,297 loops=1)

405. 0.492 0.492 ↓ 1.0 1,335 1

Seq Scan on datas_part_0000009251 (cost=0.00..190.26 rows=1,326 width=769) (actual time=0.024..0.492 rows=1,335 loops=1)

406. 0.541 0.541 ↓ 1.0 1,298 1

Seq Scan on datas_part_0000009252 (cost=0.00..184.88 rows=1,288 width=771) (actual time=0.041..0.541 rows=1,298 loops=1)

407. 0.639 0.639 ↓ 1.0 1,328 1

Seq Scan on datas_part_0000009253 (cost=0.00..203.14 rows=1,314 width=770) (actual time=0.091..0.639 rows=1,328 loops=1)

408. 0.637 0.637 ↑ 1.0 1,320 1

Seq Scan on datas_part_0000009254 (cost=0.00..167.29 rows=1,329 width=770) (actual time=0.048..0.637 rows=1,320 loops=1)

409. 0.538 0.538 ↑ 1.0 1,309 1

Seq Scan on datas_part_0000009255 (cost=0.00..175.09 rows=1,309 width=771) (actual time=0.038..0.538 rows=1,309 loops=1)

410. 0.483 0.483 ↑ 1.0 1,322 1

Seq Scan on datas_part_0000009256 (cost=0.00..164.22 rows=1,322 width=769) (actual time=0.021..0.483 rows=1,322 loops=1)

411. 0.468 0.468 ↑ 1.0 1,302 1

Seq Scan on datas_part_0000009257 (cost=0.00..172.02 rows=1,302 width=769) (actual time=0.021..0.468 rows=1,302 loops=1)

412. 0.461 0.461 ↑ 1.0 1,294 1

Seq Scan on datas_part_0000009258 (cost=0.00..180.94 rows=1,294 width=769) (actual time=0.019..0.461 rows=1,294 loops=1)

413. 0.470 0.470 ↑ 1.0 1,294 1

Seq Scan on datas_part_0000009259 (cost=0.00..170.94 rows=1,294 width=767) (actual time=0.019..0.470 rows=1,294 loops=1)

414. 0.542 0.542 ↑ 1.0 1,291 1

Seq Scan on datas_part_0000009260 (cost=0.00..169.91 rows=1,291 width=769) (actual time=0.020..0.542 rows=1,291 loops=1)

415. 0.578 0.578 ↑ 1.0 1,320 1

Seq Scan on datas_part_0000009261 (cost=0.00..192.20 rows=1,320 width=769) (actual time=0.020..0.578 rows=1,320 loops=1)

416. 0.463 0.463 ↑ 1.0 1,181 1

Seq Scan on datas_part_0000009262 (cost=0.00..169.81 rows=1,181 width=766) (actual time=0.016..0.463 rows=1,181 loops=1)

417. 0.476 0.476 ↑ 1.0 1,332 1

Seq Scan on datas_part_0000009263 (cost=0.00..184.32 rows=1,332 width=771) (actual time=0.016..0.476 rows=1,332 loops=1)

418. 0.504 0.504 ↑ 1.0 1,257 1

Seq Scan on datas_part_0000009264 (cost=0.00..177.57 rows=1,257 width=769) (actual time=0.019..0.504 rows=1,257 loops=1)

419. 0.431 0.431 ↑ 1.0 1,065 1

Seq Scan on datas_part_0000009265 (cost=0.00..134.65 rows=1,065 width=768) (actual time=0.016..0.431 rows=1,065 loops=1)

420. 0.552 0.552 ↑ 1.0 1,318 1

Seq Scan on datas_part_0000009266 (cost=0.00..173.18 rows=1,318 width=771) (actual time=0.020..0.552 rows=1,318 loops=1)

421. 0.426 0.426 ↑ 1.0 1,331 1

Seq Scan on datas_part_0000009267 (cost=0.00..164.31 rows=1,331 width=771) (actual time=0.013..0.426 rows=1,331 loops=1)

422. 0.774 0.774 ↑ 1.0 1,321 1

Seq Scan on datas_part_0000009268 (cost=0.00..172.21 rows=1,321 width=769) (actual time=0.311..0.774 rows=1,321 loops=1)

423. 0.462 0.462 ↑ 1.0 1,186 1

Seq Scan on datas_part_0000009269 (cost=0.00..196.86 rows=1,186 width=768) (actual time=0.020..0.462 rows=1,186 loops=1)

424. 45.379 45.379 ↑ 1.0 1,322 1

Seq Scan on datas_part_0000009270 (cost=0.00..189.22 rows=1,322 width=772) (actual time=0.017..45.379 rows=1,322 loops=1)

425. 0.466 0.466 ↑ 1.0 1,325 1

Seq Scan on datas_part_0000009271 (cost=0.00..167.25 rows=1,325 width=773) (actual time=0.013..0.466 rows=1,325 loops=1)

426. 0.465 0.465 ↑ 1.0 1,243 1

Seq Scan on datas_part_0000009272 (cost=0.00..171.43 rows=1,243 width=769) (actual time=0.018..0.465 rows=1,243 loops=1)

427. 0.449 0.449 ↑ 1.0 1,305 1

Seq Scan on datas_part_0000009273 (cost=0.00..159.05 rows=1,305 width=770) (actual time=0.017..0.449 rows=1,305 loops=1)

428. 0.429 0.429 ↑ 1.0 1,323 1

Seq Scan on datas_part_0000009274 (cost=0.00..154.23 rows=1,323 width=770) (actual time=0.019..0.429 rows=1,323 loops=1)

429. 0.753 0.753 ↑ 1.0 1,250 1

Seq Scan on datas_part_0000009275 (cost=0.00..244.50 rows=1,250 width=773) (actual time=0.018..0.753 rows=1,250 loops=1)

430. 10.078 10.078 ↑ 1.0 1,257 1

Seq Scan on datas_part_0000009276 (cost=0.00..224.57 rows=1,257 width=769) (actual time=0.014..10.078 rows=1,257 loops=1)

431. 0.703 0.703 ↑ 1.0 1,337 1

Seq Scan on datas_part_0000009277 (cost=0.00..178.37 rows=1,337 width=769) (actual time=0.021..0.703 rows=1,337 loops=1)

432. 0.487 0.487 ↑ 1.0 1,275 1

Seq Scan on datas_part_0000009278 (cost=0.00..210.75 rows=1,275 width=772) (actual time=0.018..0.487 rows=1,275 loops=1)

433. 0.515 0.515 ↑ 1.0 1,279 1

Seq Scan on datas_part_0000009279 (cost=0.00..237.79 rows=1,279 width=772) (actual time=0.017..0.515 rows=1,279 loops=1)

434. 0.481 0.481 ↑ 1.0 1,253 1

Seq Scan on datas_part_0000009280 (cost=0.00..170.53 rows=1,253 width=772) (actual time=0.022..0.481 rows=1,253 loops=1)

435. 0.819 0.819 ↑ 1.0 1,338 1

Seq Scan on datas_part_0000009281 (cost=0.00..217.38 rows=1,338 width=769) (actual time=0.017..0.819 rows=1,338 loops=1)

436. 0.543 0.543 ↑ 1.0 1,297 1

Seq Scan on datas_part_0000009282 (cost=0.00..169.97 rows=1,297 width=771) (actual time=0.016..0.543 rows=1,297 loops=1)

437. 0.545 0.545 ↑ 1.0 1,231 1

Seq Scan on datas_part_0000009283 (cost=0.00..191.31 rows=1,231 width=773) (actual time=0.016..0.545 rows=1,231 loops=1)

438. 0.495 0.495 ↑ 1.0 1,304 1

Seq Scan on datas_part_0000009284 (cost=0.00..181.04 rows=1,304 width=768) (actual time=0.020..0.495 rows=1,304 loops=1)

439. 0.476 0.476 ↑ 1.0 1,243 1

Seq Scan on datas_part_0000009285 (cost=0.00..194.43 rows=1,243 width=773) (actual time=0.019..0.476 rows=1,243 loops=1)

440. 0.521 0.521 ↑ 1.0 1,312 1

Seq Scan on datas_part_0000009286 (cost=0.00..193.12 rows=1,312 width=774) (actual time=0.019..0.521 rows=1,312 loops=1)

441. 0.497 0.497 ↓ 1.0 1,243 1

Seq Scan on datas_part_0000009287 (cost=0.00..158.39 rows=1,239 width=769) (actual time=0.028..0.497 rows=1,243 loops=1)

442. 0.469 0.469 ↑ 1.0 1,233 1

Seq Scan on datas_part_0000009288 (cost=0.00..181.33 rows=1,233 width=772) (actual time=0.015..0.469 rows=1,233 loops=1)

443. 0.459 0.459 ↑ 1.0 1,248 1

Seq Scan on datas_part_0000009289 (cost=0.00..180.48 rows=1,248 width=773) (actual time=0.018..0.459 rows=1,248 loops=1)

444. 0.433 0.433 ↑ 1.0 1,249 1

Seq Scan on datas_part_0000009291 (cost=0.00..172.49 rows=1,249 width=769) (actual time=0.017..0.433 rows=1,249 loops=1)

445. 0.523 0.523 ↑ 1.0 1,324 1

Seq Scan on datas_part_0000009292 (cost=0.00..172.24 rows=1,324 width=772) (actual time=0.017..0.523 rows=1,324 loops=1)

446. 57.868 57.868 ↑ 1.0 1,272 1

Seq Scan on datas_part_0000009293 (cost=0.00..169.72 rows=1,272 width=770) (actual time=0.206..57.868 rows=1,272 loops=1)

447. 0.720 0.720 ↑ 1.0 1,268 1

Seq Scan on datas_part_0000009294 (cost=0.00..183.73 rows=1,273 width=765) (actual time=0.024..0.720 rows=1,268 loops=1)

448. 0.486 0.486 ↓ 1.0 1,318 1

Seq Scan on datas_part_0000009295 (cost=0.00..186.15 rows=1,315 width=770) (actual time=0.025..0.486 rows=1,318 loops=1)

449. 15.174 15.174 ↑ 1.0 1,254 1

Seq Scan on datas_part_0000009296 (cost=0.00..174.54 rows=1,254 width=773) (actual time=0.039..15.174 rows=1,254 loops=1)

450. 0.480 0.480 ↑ 1.0 1,318 1

Seq Scan on datas_part_0000009297 (cost=0.00..189.22 rows=1,322 width=769) (actual time=0.022..0.480 rows=1,318 loops=1)

451. 9.334 9.334 ↑ 1.0 1,313 1

Seq Scan on datas_part_0000009298 (cost=0.00..182.18 rows=1,318 width=772) (actual time=3.448..9.334 rows=1,313 loops=1)

452. 0.462 0.462 ↑ 1.0 1,274 1

Seq Scan on datas_part_0000009299 (cost=0.00..173.74 rows=1,274 width=771) (actual time=0.014..0.462 rows=1,274 loops=1)

453. 0.511 0.511 ↑ 1.0 1,237 1

Seq Scan on datas_part_0000009300 (cost=0.00..207.37 rows=1,237 width=769) (actual time=0.021..0.511 rows=1,237 loops=1)

454. 19.992 19.992 ↑ 1.0 1,266 1

Seq Scan on datas_part_0000009301 (cost=0.00..160.66 rows=1,266 width=771) (actual time=19.509..19.992 rows=1,266 loops=1)

455. 0.731 0.731 ↓ 1.0 1,308 1

Seq Scan on datas_part_0000009302 (cost=0.00..191.96 rows=1,296 width=769) (actual time=0.017..0.731 rows=1,308 loops=1)

456. 0.471 0.471 ↑ 1.0 1,264 1

Seq Scan on datas_part_0000009303 (cost=0.00..163.64 rows=1,264 width=772) (actual time=0.017..0.471 rows=1,264 loops=1)

457. 1.097 1.097 ↓ 1.0 1,314 1

Seq Scan on datas_part_0000009304 (cost=0.00..188.10 rows=1,310 width=769) (actual time=0.318..1.097 rows=1,314 loops=1)

458. 0.488 0.488 ↓ 1.0 1,308 1

Seq Scan on datas_part_0000009305 (cost=0.00..190.96 rows=1,296 width=768) (actual time=0.014..0.488 rows=1,308 loops=1)

459. 0.560 0.560 ↓ 1.0 1,319 1

Seq Scan on datas_part_0000009306 (cost=0.00..175.10 rows=1,310 width=770) (actual time=0.034..0.560 rows=1,319 loops=1)

460. 0.527 0.527 ↓ 1.0 1,305 1

Seq Scan on datas_part_0000009307 (cost=0.00..189.93 rows=1,293 width=770) (actual time=0.039..0.527 rows=1,305 loops=1)

461. 0.518 0.518 ↓ 1.0 1,311 1

Seq Scan on datas_part_0000009309 (cost=0.00..189.99 rows=1,299 width=768) (actual time=0.044..0.518 rows=1,311 loops=1)

462. 0.496 0.496 ↓ 1.0 1,326 1

Seq Scan on datas_part_0000009310 (cost=0.00..181.18 rows=1,318 width=770) (actual time=0.020..0.496 rows=1,326 loops=1)

463. 0.537 0.537 ↑ 1.0 1,258 1

Seq Scan on datas_part_0000009311 (cost=0.00..187.58 rows=1,258 width=774) (actual time=0.039..0.537 rows=1,258 loops=1)

464. 0.549 0.549 ↓ 1.0 1,320 1

Seq Scan on datas_part_0000009312 (cost=0.00..183.18 rows=1,318 width=770) (actual time=0.037..0.549 rows=1,320 loops=1)

465. 1.352 1.352 ↑ 1.0 1,245 1

Seq Scan on datas_part_0000009313 (cost=0.00..205.45 rows=1,245 width=770) (actual time=0.836..1.352 rows=1,245 loops=1)

466. 0.502 0.502 ↓ 1.0 1,319 1

Seq Scan on datas_part_0000009314 (cost=0.00..180.09 rows=1,309 width=769) (actual time=0.020..0.502 rows=1,319 loops=1)

467. 0.517 0.517 ↓ 1.0 1,329 1

Seq Scan on datas_part_0000009315 (cost=0.00..172.20 rows=1,320 width=771) (actual time=0.019..0.517 rows=1,329 loops=1)

468. 0.495 0.495 ↓ 1.0 1,323 1

Seq Scan on datas_part_0000009316 (cost=0.00..183.13 rows=1,313 width=769) (actual time=0.013..0.495 rows=1,323 loops=1)

469. 4.649 4.649 ↑ 1.0 1,344 1

Seq Scan on datas_part_0000009317 (cost=0.00..197.44 rows=1,344 width=769) (actual time=0.017..4.649 rows=1,344 loops=1)

470. 0.538 0.538 ↓ 1.0 1,356 1

Seq Scan on datas_part_0000009318 (cost=0.00..193.43 rows=1,343 width=770) (actual time=0.027..0.538 rows=1,356 loops=1)

471. 0.472 0.472 ↑ 1.0 1,278 1

Seq Scan on datas_part_0000009319 (cost=0.00..188.78 rows=1,278 width=771) (actual time=0.019..0.472 rows=1,278 loops=1)

472. 0.468 0.468 ↑ 1.0 1,261 1

Seq Scan on datas_part_0000009320 (cost=0.00..174.61 rows=1,261 width=773) (actual time=0.019..0.468 rows=1,261 loops=1)

473. 0.481 0.481 ↑ 1.0 1,289 1

Seq Scan on datas_part_0000009321 (cost=0.00..197.89 rows=1,289 width=771) (actual time=0.016..0.481 rows=1,289 loops=1)

474. 0.498 0.498 ↓ 1.0 1,332 1

Seq Scan on datas_part_0000009322 (cost=0.00..195.22 rows=1,322 width=768) (actual time=0.019..0.498 rows=1,332 loops=1)

475. 0.549 0.549 ↓ 1.0 1,313 1

Seq Scan on datas_part_0000009323 (cost=0.00..197.03 rows=1,303 width=769) (actual time=0.016..0.549 rows=1,313 loops=1)

476. 0.531 0.531 ↓ 1.0 1,283 1

Seq Scan on datas_part_0000009324 (cost=0.00..187.72 rows=1,272 width=769) (actual time=0.020..0.531 rows=1,283 loops=1)

477. 20.534 20.534 ↓ 1.0 1,327 1

Seq Scan on datas_part_0000009325 (cost=0.00..199.14 rows=1,314 width=770) (actual time=0.020..20.534 rows=1,327 loops=1)

478. 19.501 19.501 ↑ 1.1 1,309 1

Seq Scan on datas_part_0000009326 (cost=0.00..227.45 rows=1,445 width=769) (actual time=0.015..19.501 rows=1,309 loops=1)

479. 1.275 1.275 ↓ 1.0 1,278 1

Seq Scan on datas_part_0000009327 (cost=0.00..167.73 rows=1,273 width=769) (actual time=0.809..1.275 rows=1,278 loops=1)

480. 0.465 0.465 ↓ 1.0 1,265 1

Seq Scan on datas_part_0000009328 (cost=0.00..168.64 rows=1,264 width=769) (actual time=0.015..0.465 rows=1,265 loops=1)

481. 0.482 0.482 ↓ 1.0 1,265 1

Seq Scan on datas_part_0000009329 (cost=0.00..172.61 rows=1,261 width=768) (actual time=0.018..0.482 rows=1,265 loops=1)

482. 0.532 0.532 ↑ 1.0 1,304 1

Seq Scan on datas_part_0000009330 (cost=0.00..183.42 rows=1,342 width=770) (actual time=0.032..0.532 rows=1,304 loops=1)

483. 0.968 0.968 ↓ 1.0 1,311 1

Seq Scan on datas_part_0000009331 (cost=0.00..183.70 rows=1,270 width=771) (actual time=0.022..0.968 rows=1,311 loops=1)

484. 0.488 0.488 ↑ 1.0 1,283 1

Seq Scan on datas_part_0000009332 (cost=0.00..176.83 rows=1,283 width=771) (actual time=0.027..0.488 rows=1,283 loops=1)

485. 0.454 0.454 ↑ 1.0 1,258 1

Seq Scan on datas_part_0000009333 (cost=0.00..164.58 rows=1,258 width=768) (actual time=0.018..0.454 rows=1,258 loops=1)

486. 0.473 0.473 ↑ 1.0 1,274 1

Seq Scan on datas_part_0000009334 (cost=0.00..182.87 rows=1,287 width=768) (actual time=0.015..0.473 rows=1,274 loops=1)

487. 0.471 0.471 ↓ 1.0 1,282 1

Seq Scan on datas_part_0000009335 (cost=0.00..165.75 rows=1,275 width=771) (actual time=0.020..0.471 rows=1,282 loops=1)

488. 0.461 0.461 ↑ 1.0 1,206 1

Seq Scan on datas_part_0000009336 (cost=0.00..171.06 rows=1,206 width=767) (actual time=0.032..0.461 rows=1,206 loops=1)

489. 0.475 0.475 ↑ 1.0 1,248 1

Seq Scan on datas_part_0000009337 (cost=0.00..167.49 rows=1,249 width=767) (actual time=0.016..0.475 rows=1,248 loops=1)

490. 0.507 0.507 ↓ 1.0 1,294 1

Seq Scan on datas_part_0000009338 (cost=0.00..177.93 rows=1,293 width=769) (actual time=0.019..0.507 rows=1,294 loops=1)

491. 0.532 0.532 ↑ 1.0 1,266 1

Seq Scan on datas_part_0000009339 (cost=0.00..167.66 rows=1,266 width=770) (actual time=0.019..0.532 rows=1,266 loops=1)

492. 0.466 0.466 ↓ 1.0 1,288 1

Seq Scan on datas_part_0000009340 (cost=0.00..177.78 rows=1,278 width=770) (actual time=0.020..0.466 rows=1,288 loops=1)

493. 0.449 0.449 ↑ 1.0 1,284 1

Seq Scan on datas_part_0000009341 (cost=0.00..165.86 rows=1,286 width=768) (actual time=0.019..0.449 rows=1,284 loops=1)

494. 0.451 0.451 ↓ 1.0 1,297 1

Seq Scan on datas_part_0000009342 (cost=0.00..174.89 rows=1,289 width=768) (actual time=0.016..0.451 rows=1,297 loops=1)

495. 0.448 0.448 ↑ 1.0 1,240 1

Seq Scan on datas_part_0000009343 (cost=0.00..175.40 rows=1,240 width=768) (actual time=0.018..0.448 rows=1,240 loops=1)

496. 0.463 0.463 ↑ 1.0 1,245 1

Seq Scan on datas_part_0000009344 (cost=0.00..179.45 rows=1,245 width=767) (actual time=0.019..0.463 rows=1,245 loops=1)

497. 0.472 0.472 ↓ 1.0 1,314 1

Seq Scan on datas_part_0000009345 (cost=0.00..177.05 rows=1,305 width=772) (actual time=0.015..0.472 rows=1,314 loops=1)

498. 0.471 0.471 ↓ 1.0 1,319 1

Seq Scan on datas_part_0000009346 (cost=0.00..177.10 rows=1,310 width=768) (actual time=0.019..0.471 rows=1,319 loops=1)

499. 0.461 0.461 ↓ 1.0 1,311 1

Seq Scan on datas_part_0000009347 (cost=0.00..175.02 rows=1,302 width=771) (actual time=0.018..0.461 rows=1,311 loops=1)

500. 0.477 0.477 ↓ 1.0 1,310 1

Seq Scan on datas_part_0000009348 (cost=0.00..187.69 rows=1,269 width=770) (actual time=0.015..0.477 rows=1,310 loops=1)

501. 0.486 0.486 ↓ 1.0 1,270 1

Seq Scan on datas_part_0000009349 (cost=0.00..167.64 rows=1,264 width=768) (actual time=0.022..0.486 rows=1,270 loops=1)

502. 0.552 0.552 ↓ 1.0 1,289 1

Seq Scan on datas_part_0000009350 (cost=0.00..174.84 rows=1,284 width=768) (actual time=0.038..0.552 rows=1,289 loops=1)

503. 0.471 0.471 ↑ 1.0 1,306 1

Seq Scan on datas_part_0000009351 (cost=0.00..197.06 rows=1,306 width=770) (actual time=0.015..0.471 rows=1,306 loops=1)

504. 0.450 0.450 ↑ 1.0 1,270 1

Seq Scan on datas_part_0000009352 (cost=0.00..175.70 rows=1,270 width=770) (actual time=0.019..0.450 rows=1,270 loops=1)

505. 0.457 0.457 ↑ 1.0 1,332 1

Seq Scan on datas_part_0000009353 (cost=0.00..163.32 rows=1,332 width=772) (actual time=0.020..0.457 rows=1,332 loops=1)

506. 0.446 0.446 ↑ 1.0 1,267 1

Seq Scan on datas_part_0000009354 (cost=0.00..171.67 rows=1,267 width=769) (actual time=0.019..0.446 rows=1,267 loops=1)

507. 0.334 0.334 ↑ 1.0 882 1

Seq Scan on datas_part_0000009355 (cost=0.00..139.82 rows=882 width=762) (actual time=0.018..0.334 rows=882 loops=1)

508. 13.098 13.098 ↑ 1.0 1,223 1

Seq Scan on datas_part_0000009356 (cost=0.00..166.23 rows=1,223 width=769) (actual time=0.017..13.098 rows=1,223 loops=1)

509. 0.461 0.461 ↑ 1.0 1,270 1

Seq Scan on datas_part_0000009357 (cost=0.00..182.70 rows=1,270 width=773) (actual time=0.016..0.461 rows=1,270 loops=1)

510. 0.473 0.473 ↑ 1.0 1,257 1

Seq Scan on datas_part_0000009358 (cost=0.00..192.57 rows=1,257 width=767) (actual time=0.018..0.473 rows=1,257 loops=1)

511. 4.798 4.798 ↑ 1.0 1,281 1

Seq Scan on datas_part_0000009359 (cost=0.00..175.81 rows=1,281 width=770) (actual time=0.017..4.798 rows=1,281 loops=1)

512. 0.475 0.475 ↑ 1.0 1,286 1

Seq Scan on datas_part_0000009360 (cost=0.00..175.86 rows=1,286 width=770) (actual time=0.019..0.475 rows=1,286 loops=1)

513. 0.506 0.506 ↑ 1.0 1,258 1

Seq Scan on datas_part_0000009361 (cost=0.00..180.58 rows=1,258 width=773) (actual time=0.018..0.506 rows=1,258 loops=1)

514. 0.479 0.479 ↑ 1.0 1,302 1

Seq Scan on datas_part_0000009362 (cost=0.00..163.02 rows=1,302 width=772) (actual time=0.019..0.479 rows=1,302 loops=1)

515. 0.581 0.581 ↑ 1.0 1,284 1

Seq Scan on datas_part_0000009363 (cost=0.00..194.84 rows=1,284 width=772) (actual time=0.021..0.581 rows=1,284 loops=1)

516. 11.266 11.266 ↑ 1.0 1,263 1

Seq Scan on datas_part_0000009364 (cost=0.00..172.63 rows=1,263 width=770) (actual time=0.035..11.266 rows=1,263 loops=1)

517. 0.470 0.470 ↑ 1.0 1,267 1

Seq Scan on datas_part_0000009365 (cost=0.00..155.67 rows=1,267 width=771) (actual time=0.019..0.470 rows=1,267 loops=1)

518. 0.489 0.489 ↑ 1.0 1,263 1

Seq Scan on datas_part_0000009366 (cost=0.00..176.63 rows=1,263 width=770) (actual time=0.020..0.489 rows=1,263 loops=1)

519. 0.504 0.504 ↑ 1.0 1,244 1

Seq Scan on datas_part_0000009367 (cost=0.00..169.44 rows=1,244 width=769) (actual time=0.019..0.504 rows=1,244 loops=1)

520. 0.518 0.518 ↑ 1.0 1,215 1

Seq Scan on datas_part_0000009368 (cost=0.00..170.15 rows=1,215 width=768) (actual time=0.019..0.518 rows=1,215 loops=1)

521. 0.533 0.533 ↑ 1.0 1,279 1

Seq Scan on datas_part_0000009369 (cost=0.00..194.79 rows=1,279 width=772) (actual time=0.037..0.533 rows=1,279 loops=1)

522. 0.511 0.511 ↑ 1.0 1,291 1

Seq Scan on datas_part_0000009370 (cost=0.00..183.91 rows=1,291 width=770) (actual time=0.020..0.511 rows=1,291 loops=1)

523. 0.558 0.558 ↑ 1.0 1,238 1

Seq Scan on datas_part_0000009371 (cost=0.00..174.38 rows=1,238 width=771) (actual time=0.019..0.558 rows=1,238 loops=1)

524. 0.480 0.480 ↑ 1.0 1,279 1

Seq Scan on datas_part_0000009372 (cost=0.00..162.79 rows=1,279 width=773) (actual time=0.018..0.480 rows=1,279 loops=1)

525. 0.590 0.590 ↑ 1.0 1,280 1

Seq Scan on datas_part_0000009373 (cost=0.00..179.80 rows=1,280 width=772) (actual time=0.024..0.590 rows=1,280 loops=1)

526. 0.577 0.577 ↑ 1.0 1,247 1

Seq Scan on datas_part_0000009374 (cost=0.00..180.47 rows=1,247 width=768) (actual time=0.019..0.577 rows=1,247 loops=1)

527. 0.687 0.687 ↑ 1.0 1,281 1

Seq Scan on datas_part_0000009375 (cost=0.00..175.81 rows=1,281 width=768) (actual time=0.046..0.687 rows=1,281 loops=1)

528. 0.461 0.461 ↑ 1.0 1,263 1

Seq Scan on datas_part_0000009376 (cost=0.00..188.63 rows=1,263 width=769) (actual time=0.017..0.461 rows=1,263 loops=1)

529. 12.010 12.010 ↑ 1.0 1,268 1

Seq Scan on datas_part_0000009377 (cost=0.00..193.68 rows=1,268 width=771) (actual time=0.018..12.010 rows=1,268 loops=1)

530. 0.537 0.537 ↑ 1.0 1,269 1

Seq Scan on datas_part_0000009378 (cost=0.00..165.69 rows=1,269 width=770) (actual time=0.018..0.537 rows=1,269 loops=1)

531. 0.493 0.493 ↑ 1.0 1,270 1

Seq Scan on datas_part_0000009379 (cost=0.00..155.70 rows=1,270 width=772) (actual time=0.019..0.493 rows=1,270 loops=1)

532. 0.474 0.474 ↑ 1.0 1,269 1

Seq Scan on datas_part_0000009380 (cost=0.00..171.69 rows=1,269 width=771) (actual time=0.020..0.474 rows=1,269 loops=1)

533. 0.481 0.481 ↑ 1.0 1,249 1

Seq Scan on datas_part_0000009381 (cost=0.00..162.49 rows=1,249 width=768) (actual time=0.019..0.481 rows=1,249 loops=1)

534. 0.507 0.507 ↑ 1.0 1,276 1

Seq Scan on datas_part_0000009382 (cost=0.00..176.76 rows=1,276 width=768) (actual time=0.017..0.507 rows=1,276 loops=1)

535. 0.455 0.455 ↑ 1.0 1,247 1

Seq Scan on datas_part_0000009383 (cost=0.00..179.47 rows=1,247 width=770) (actual time=0.017..0.455 rows=1,247 loops=1)

536. 0.458 0.458 ↑ 1.0 1,279 1

Seq Scan on datas_part_0000009384 (cost=0.00..171.79 rows=1,279 width=772) (actual time=0.019..0.458 rows=1,279 loops=1)

537. 0.421 0.421 ↑ 1.0 1,273 1

Seq Scan on datas_part_0000009385 (cost=0.00..170.73 rows=1,273 width=772) (actual time=0.022..0.421 rows=1,273 loops=1)

538. 3.154 3.154 ↑ 1.0 1,280 1

Seq Scan on datas_part_0000009386 (cost=0.00..175.80 rows=1,280 width=772) (actual time=0.109..3.154 rows=1,280 loops=1)

539. 0.549 0.549 ↑ 1.0 1,269 1

Seq Scan on datas_part_0000009388 (cost=0.00..181.69 rows=1,269 width=774) (actual time=0.019..0.549 rows=1,269 loops=1)

540. 2.764 2.764 ↑ 1.0 1,353 1

Seq Scan on datas_part_0000009395 (cost=0.00..169.53 rows=1,353 width=769) (actual time=0.018..2.764 rows=1,353 loops=1)

541. 0.454 0.454 ↑ 1.0 1,268 1

Seq Scan on datas_part_0000009397 (cost=0.00..161.68 rows=1,268 width=771) (actual time=0.023..0.454 rows=1,268 loops=1)

542. 0.477 0.477 ↑ 1.0 1,320 1

Seq Scan on datas_part_0000009398 (cost=0.00..153.20 rows=1,320 width=770) (actual time=0.019..0.477 rows=1,320 loops=1)

543. 0.445 0.445 ↑ 1.0 1,277 1

Seq Scan on datas_part_0000009399 (cost=0.00..168.77 rows=1,277 width=770) (actual time=0.016..0.445 rows=1,277 loops=1)

544. 1.444 1.444 ↑ 1.0 1,254 1

Seq Scan on datas_part_0000009400 (cost=0.00..162.54 rows=1,254 width=769) (actual time=0.019..1.444 rows=1,254 loops=1)

545. 0.455 0.455 ↑ 1.0 1,250 1

Seq Scan on datas_part_0000009401 (cost=0.00..165.50 rows=1,250 width=770) (actual time=0.024..0.455 rows=1,250 loops=1)

546. 0.441 0.441 ↓ 1.0 1,273 1

Seq Scan on datas_part_0000009402 (cost=0.00..152.69 rows=1,269 width=770) (actual time=0.020..0.441 rows=1,273 loops=1)

547. 0.469 0.469 ↓ 1.0 1,282 1

Seq Scan on datas_part_0000009403 (cost=0.00..178.81 rows=1,281 width=770) (actual time=0.019..0.469 rows=1,282 loops=1)

548. 0.484 0.484 ↓ 1.0 1,328 1

Seq Scan on datas_part_0000009404 (cost=0.00..184.21 rows=1,321 width=771) (actual time=0.019..0.484 rows=1,328 loops=1)

549. 0.467 0.467 ↓ 1.0 1,282 1

Seq Scan on datas_part_0000009405 (cost=0.00..177.81 rows=1,281 width=770) (actual time=0.018..0.467 rows=1,282 loops=1)

550. 0.489 0.489 ↑ 1.1 1,275 1

Seq Scan on datas_part_0000009406 (cost=0.00..182.41 rows=1,441 width=770) (actual time=0.019..0.489 rows=1,275 loops=1)

551. 0.489 0.489 ↑ 1.0 1,248 1

Seq Scan on datas_part_0000009408 (cost=0.00..172.48 rows=1,248 width=771) (actual time=0.018..0.489 rows=1,248 loops=1)

552. 0.509 0.509 ↑ 1.0 1,357 1

Seq Scan on datas_part_0000009409 (cost=0.00..193.57 rows=1,357 width=770) (actual time=0.018..0.509 rows=1,357 loops=1)

553. 0.584 0.584 ↑ 1.0 1,267 1

Seq Scan on datas_part_0000009410 (cost=0.00..172.67 rows=1,267 width=771) (actual time=0.022..0.584 rows=1,267 loops=1)

554. 0.538 0.538 ↑ 1.0 1,268 1

Seq Scan on datas_part_0000009411 (cost=0.00..179.68 rows=1,268 width=771) (actual time=0.014..0.538 rows=1,268 loops=1)

555. 0.459 0.459 ↑ 1.0 1,293 1

Seq Scan on datas_part_0000009412 (cost=0.00..187.93 rows=1,293 width=770) (actual time=0.020..0.459 rows=1,293 loops=1)

556. 0.468 0.468 ↑ 1.0 1,283 1

Seq Scan on datas_part_0000009421 (cost=0.00..183.83 rows=1,283 width=773) (actual time=0.030..0.468 rows=1,283 loops=1)

557. 0.437 0.437 ↑ 1.0 1,269 1

Seq Scan on datas_part_0000009422 (cost=0.00..162.69 rows=1,269 width=770) (actual time=0.024..0.437 rows=1,269 loops=1)

558. 0.459 0.459 ↑ 1.0 1,275 1

Seq Scan on datas_part_0000009423 (cost=0.00..187.75 rows=1,275 width=772) (actual time=0.019..0.459 rows=1,275 loops=1)

559. 0.452 0.452 ↑ 1.0 1,331 1

Seq Scan on datas_part_0000009424 (cost=0.00..179.31 rows=1,331 width=769) (actual time=0.025..0.452 rows=1,331 loops=1)

560. 0.492 0.492 ↑ 1.0 1,323 1

Seq Scan on datas_part_0000009426 (cost=0.00..176.23 rows=1,323 width=770) (actual time=0.023..0.492 rows=1,323 loops=1)

561. 0.459 0.459 ↑ 1.0 1,274 1

Seq Scan on datas_part_0000009427 (cost=0.00..187.74 rows=1,274 width=769) (actual time=0.015..0.459 rows=1,274 loops=1)

562. 0.529 0.529 ↑ 1.0 1,328 1

Seq Scan on datas_part_0000009428 (cost=0.00..179.28 rows=1,328 width=771) (actual time=0.019..0.529 rows=1,328 loops=1)

563. 0.463 0.463 ↑ 1.0 1,254 1

Seq Scan on datas_part_0000009429 (cost=0.00..183.54 rows=1,254 width=769) (actual time=0.022..0.463 rows=1,254 loops=1)

564. 0.486 0.486 ↑ 1.0 1,292 1

Seq Scan on datas_part_0000009431 (cost=0.00..179.92 rows=1,292 width=773) (actual time=0.028..0.486 rows=1,292 loops=1)

565. 0.607 0.607 ↑ 1.0 1,324 1

Seq Scan on datas_part_0000009437 (cost=0.00..190.24 rows=1,324 width=770) (actual time=0.017..0.607 rows=1,324 loops=1)

566. 4.585 4.585 ↑ 1.0 1,233 1

Seq Scan on datas_part_0000009438 (cost=0.00..168.33 rows=1,233 width=767) (actual time=4.154..4.585 rows=1,233 loops=1)

567. 0.489 0.489 ↓ 1.0 1,323 1

Seq Scan on datas_part_0000009439 (cost=0.00..198.10 rows=1,310 width=769) (actual time=0.019..0.489 rows=1,323 loops=1)

568. 0.470 0.470 ↓ 1.0 1,326 1

Seq Scan on datas_part_0000009440 (cost=0.00..187.16 rows=1,316 width=772) (actual time=0.019..0.470 rows=1,326 loops=1)

569. 0.411 0.411 ↑ 1.0 1,245 1

Seq Scan on datas_part_0000009441 (cost=0.00..155.45 rows=1,245 width=770) (actual time=0.024..0.411 rows=1,245 loops=1)

570. 0.531 0.531 ↑ 1.0 1,495 1

Seq Scan on datas_part_0000009442 (cost=0.00..209.37 rows=1,537 width=775) (actual time=0.020..0.531 rows=1,495 loops=1)

571. 0.484 0.484 ↑ 1.0 1,319 1

Seq Scan on datas_part_0000009443 (cost=0.00..174.19 rows=1,319 width=770) (actual time=0.026..0.484 rows=1,319 loops=1)

572. 0.454 0.454 ↓ 1.0 1,322 1

Seq Scan on datas_part_0000009444 (cost=0.00..179.14 rows=1,314 width=771) (actual time=0.021..0.454 rows=1,322 loops=1)

573. 0.426 0.426 ↑ 1.0 1,282 1

Seq Scan on datas_part_0000009448 (cost=0.00..170.82 rows=1,282 width=770) (actual time=0.022..0.426 rows=1,282 loops=1)

574. 0.547 0.547 ↓ 1.0 1,289 1

Seq Scan on datas_part_0000009449 (cost=0.00..164.83 rows=1,283 width=769) (actual time=0.020..0.547 rows=1,289 loops=1)

575. 0.522 0.522 ↑ 1.0 1,333 1

Seq Scan on datas_part_0000009450 (cost=0.00..189.33 rows=1,333 width=772) (actual time=0.018..0.522 rows=1,333 loops=1)

576. 0.524 0.524 ↓ 1.0 1,317 1

Seq Scan on datas_part_0000009451 (cost=0.00..181.07 rows=1,307 width=771) (actual time=0.019..0.524 rows=1,317 loops=1)

577. 1.111 1.111 ↓ 1.0 1,293 1

Seq Scan on datas_part_0000009452 (cost=0.00..174.85 rows=1,285 width=768) (actual time=0.043..1.111 rows=1,293 loops=1)

578. 0.515 0.515 ↑ 1.0 1,245 1

Seq Scan on datas_part_0000009453 (cost=0.00..171.45 rows=1,245 width=769) (actual time=0.044..0.515 rows=1,245 loops=1)

579. 0.549 0.549 ↓ 1.0 1,287 1

Seq Scan on datas_part_0000009454 (cost=0.00..176.79 rows=1,279 width=773) (actual time=0.045..0.549 rows=1,287 loops=1)

580. 0.503 0.503 ↓ 1.0 1,303 1

Seq Scan on datas_part_0000009455 (cost=0.00..198.90 rows=1,290 width=768) (actual time=0.019..0.503 rows=1,303 loops=1)

581. 0.396 0.396 ↑ 1.0 1,042 1

Seq Scan on datas_part_0000009456 (cost=0.00..157.42 rows=1,042 width=770) (actual time=0.018..0.396 rows=1,042 loops=1)

582. 1.779 1.779 ↓ 1.0 1,328 1

Seq Scan on datas_part_0000009457 (cost=0.00..183.24 rows=1,324 width=772) (actual time=0.018..1.779 rows=1,328 loops=1)

583. 0.456 0.456 ↑ 1.0 1,256 1

Seq Scan on datas_part_0000009458 (cost=0.00..155.56 rows=1,256 width=769) (actual time=0.015..0.456 rows=1,256 loops=1)

584. 0.607 0.607 ↑ 1.0 1,308 1

Seq Scan on datas_part_0000009459 (cost=0.00..219.08 rows=1,308 width=772) (actual time=0.028..0.607 rows=1,308 loops=1)

585. 0.431 0.431 ↑ 1.0 1,234 1

Seq Scan on datas_part_0000009460 (cost=0.00..143.34 rows=1,234 width=770) (actual time=0.037..0.431 rows=1,234 loops=1)

586. 0.488 0.488 ↑ 1.0 1,315 1

Seq Scan on datas_part_0000009461 (cost=0.00..165.15 rows=1,315 width=768) (actual time=0.032..0.488 rows=1,315 loops=1)

587. 0.473 0.473 ↑ 1.0 1,311 1

Seq Scan on datas_part_0000009462 (cost=0.00..166.11 rows=1,311 width=770) (actual time=0.028..0.473 rows=1,311 loops=1)

588. 0.529 0.529 ↑ 1.0 1,284 1

Seq Scan on datas_part_0000009463 (cost=0.00..179.84 rows=1,284 width=773) (actual time=0.021..0.529 rows=1,284 loops=1)

589. 0.497 0.497 ↓ 1.0 1,317 1

Seq Scan on datas_part_0000009464 (cost=0.00..180.07 rows=1,307 width=772) (actual time=0.015..0.497 rows=1,317 loops=1)

590. 0.574 0.574 ↓ 1.0 1,329 1

Seq Scan on datas_part_0000009465 (cost=0.00..174.26 rows=1,326 width=770) (actual time=0.014..0.574 rows=1,329 loops=1)

591. 0.933 0.933 ↑ 1.0 1,320 1

Seq Scan on datas_part_0000009466 (cost=0.00..188.20 rows=1,320 width=768) (actual time=0.016..0.933 rows=1,320 loops=1)

592. 3.475 3.475 ↑ 1.0 1,322 1

Seq Scan on datas_part_0000009467 (cost=0.00..171.22 rows=1,322 width=770) (actual time=0.017..3.475 rows=1,322 loops=1)

593. 0.509 0.509 ↑ 1.0 1,321 1

Seq Scan on datas_part_0000009468 (cost=0.00..190.21 rows=1,321 width=773) (actual time=0.017..0.509 rows=1,321 loops=1)

594. 0.439 0.439 ↑ 1.0 1,239 1

Seq Scan on datas_part_0000009469 (cost=0.00..173.39 rows=1,239 width=769) (actual time=0.018..0.439 rows=1,239 loops=1)

595. 0.475 0.475 ↑ 1.0 1,280 1

Seq Scan on datas_part_0000009470 (cost=0.00..189.80 rows=1,280 width=771) (actual time=0.020..0.475 rows=1,280 loops=1)

596. 0.464 0.464 ↑ 1.0 1,276 1

Seq Scan on datas_part_0000009472 (cost=0.00..177.76 rows=1,276 width=771) (actual time=0.018..0.464 rows=1,276 loops=1)

597. 0.639 0.639 ↓ 1.0 1,307 1

Seq Scan on datas_part_0000009473 (cost=0.00..180.97 rows=1,297 width=768) (actual time=0.020..0.639 rows=1,307 loops=1)

598. 1.272 1.272 ↑ 1.0 1,321 1

Seq Scan on datas_part_0000009474 (cost=0.00..188.21 rows=1,321 width=772) (actual time=0.015..1.272 rows=1,321 loops=1)

599. 0.748 0.748 ↑ 1.0 1,311 1

Seq Scan on datas_part_0000009475 (cost=0.00..179.11 rows=1,311 width=772) (actual time=0.019..0.748 rows=1,311 loops=1)

600. 0.524 0.524 ↓ 1.0 1,353 1

Seq Scan on datas_part_0000009476 (cost=0.00..171.49 rows=1,349 width=771) (actual time=0.020..0.524 rows=1,353 loops=1)

601. 0.496 0.496 ↑ 1.0 1,312 1

Seq Scan on datas_part_0000009477 (cost=0.00..181.12 rows=1,312 width=773) (actual time=0.017..0.496 rows=1,312 loops=1)

602. 4.415 4.415 ↑ 1.0 1,332 1

Seq Scan on datas_part_0000009479 (cost=0.00..178.32 rows=1,332 width=773) (actual time=0.018..4.415 rows=1,332 loops=1)

603. 0.483 0.483 ↑ 1.0 1,257 1

Seq Scan on datas_part_0000009480 (cost=0.00..180.57 rows=1,257 width=770) (actual time=0.020..0.483 rows=1,257 loops=1)

604. 0.446 0.446 ↑ 1.0 1,273 1

Seq Scan on datas_part_0000009481 (cost=0.00..157.73 rows=1,273 width=772) (actual time=0.018..0.446 rows=1,273 loops=1)

605. 0.462 0.462 ↑ 1.0 1,325 1

Seq Scan on datas_part_0000009482 (cost=0.00..173.25 rows=1,325 width=770) (actual time=0.016..0.462 rows=1,325 loops=1)

606. 0.475 0.475 ↑ 1.0 1,339 1

Seq Scan on datas_part_0000009483 (cost=0.00..173.39 rows=1,339 width=769) (actual time=0.019..0.475 rows=1,339 loops=1)

607. 0.503 0.503 ↑ 1.0 1,331 1

Seq Scan on datas_part_0000009484 (cost=0.00..179.31 rows=1,331 width=773) (actual time=0.018..0.503 rows=1,331 loops=1)

608. 0.503 0.503 ↑ 1.0 1,320 1

Seq Scan on datas_part_0000009485 (cost=0.00..169.20 rows=1,320 width=771) (actual time=0.020..0.503 rows=1,320 loops=1)

609. 0.245 0.245 ↑ 1.0 561 1

Seq Scan on datas_part_0000009486 (cost=0.00..102.61 rows=561 width=757) (actual time=0.020..0.245 rows=561 loops=1)

610. 0.560 0.560 ↓ 1.0 1,298 1

Seq Scan on datas_part_0000009487 (cost=0.00..185.94 rows=1,294 width=772) (actual time=0.014..0.560 rows=1,298 loops=1)

611. 0.472 0.472 ↓ 1.0 1,298 1

Seq Scan on datas_part_0000009488 (cost=0.00..185.87 rows=1,287 width=772) (actual time=0.019..0.472 rows=1,298 loops=1)

612. 0.463 0.463 ↑ 1.0 1,294 1

Seq Scan on datas_part_0000009489 (cost=0.00..176.94 rows=1,294 width=772) (actual time=0.018..0.463 rows=1,294 loops=1)

613. 1.115 1.115 ↓ 1.0 1,325 1

Seq Scan on datas_part_0000009490 (cost=0.00..196.83 rows=1,283 width=768) (actual time=0.018..1.115 rows=1,325 loops=1)

614. 0.455 0.455 ↑ 1.0 1,268 1

Seq Scan on datas_part_0000009491 (cost=0.00..163.68 rows=1,268 width=771) (actual time=0.015..0.455 rows=1,268 loops=1)

615. 0.497 0.497 ↓ 1.0 1,311 1

Seq Scan on datas_part_0000009492 (cost=0.00..185.10 rows=1,310 width=771) (actual time=0.030..0.497 rows=1,311 loops=1)

616. 0.511 0.511 ↑ 1.0 1,330 1

Seq Scan on datas_part_0000009493 (cost=0.00..174.30 rows=1,330 width=772) (actual time=0.043..0.511 rows=1,330 loops=1)

617. 0.577 0.577 ↑ 1.0 1,338 1

Seq Scan on datas_part_0000009494 (cost=0.00..183.38 rows=1,338 width=770) (actual time=0.043..0.577 rows=1,338 loops=1)

618. 0.525 0.525 ↓ 1.0 1,307 1

Seq Scan on datas_part_0000009495 (cost=0.00..188.95 rows=1,295 width=772) (actual time=0.025..0.525 rows=1,307 loops=1)

619. 0.552 0.552 ↑ 1.0 1,318 1

Seq Scan on datas_part_0000009496 (cost=0.00..195.18 rows=1,318 width=772) (actual time=0.020..0.552 rows=1,318 loops=1)

620. 12.578 12.578 ↑ 1.0 1,312 1

Seq Scan on datas_part_0000009497 (cost=0.00..175.12 rows=1,312 width=770) (actual time=0.017..12.578 rows=1,312 loops=1)

621. 0.480 0.480 ↓ 1.0 1,373 1

Seq Scan on datas_part_0000009498 (cost=0.00..162.70 rows=1,370 width=771) (actual time=0.013..0.480 rows=1,373 loops=1)

622. 16.904 16.904 ↑ 1.0 1,275 1

Seq Scan on datas_part_0000009499 (cost=0.00..149.75 rows=1,275 width=771) (actual time=0.019..16.904 rows=1,275 loops=1)

623. 0.429 0.429 ↑ 1.0 1,341 1

Seq Scan on datas_part_0000009500 (cost=0.00..149.41 rows=1,341 width=770) (actual time=0.013..0.429 rows=1,341 loops=1)

624. 0.484 0.484 ↑ 1.0 1,355 1

Seq Scan on datas_part_0000009501 (cost=0.00..179.55 rows=1,355 width=769) (actual time=0.017..0.484 rows=1,355 loops=1)

625. 0.621 0.621 ↑ 1.0 1,322 1

Seq Scan on datas_part_0000009502 (cost=0.00..187.22 rows=1,322 width=773) (actual time=0.021..0.621 rows=1,322 loops=1)

626. 0.609 0.609 ↑ 1.0 1,326 1

Seq Scan on datas_part_0000009503 (cost=0.00..183.26 rows=1,326 width=772) (actual time=0.048..0.609 rows=1,326 loops=1)

627. 0.557 0.557 ↑ 1.0 1,366 1

Seq Scan on datas_part_0000009504 (cost=0.00..166.66 rows=1,366 width=769) (actual time=0.026..0.557 rows=1,366 loops=1)

628. 1.816 1.816 ↑ 1.0 1,244 1

Seq Scan on datas_part_0000009505 (cost=0.00..166.44 rows=1,244 width=770) (actual time=0.051..1.816 rows=1,244 loops=1)

629. 3.215 3.215 ↑ 1.0 1,329 1

Seq Scan on datas_part_0000009506 (cost=0.00..159.29 rows=1,329 width=770) (actual time=0.045..3.215 rows=1,329 loops=1)

630. 0.484 0.484 ↑ 1.0 1,304 1

Seq Scan on datas_part_0000009507 (cost=0.00..178.04 rows=1,304 width=770) (actual time=0.018..0.484 rows=1,304 loops=1)

631. 0.867 0.867 ↓ 1.0 1,289 1

Seq Scan on datas_part_0000009508 (cost=0.00..177.80 rows=1,280 width=767) (actual time=0.019..0.867 rows=1,289 loops=1)

632. 1.082 1.082 ↑ 1.0 1,340 1

Seq Scan on datas_part_0000009510 (cost=0.00..180.40 rows=1,340 width=770) (actual time=0.024..1.082 rows=1,340 loops=1)

633. 0.528 0.528 ↑ 1.0 1,280 1

Seq Scan on datas_part_0000009511 (cost=0.00..170.80 rows=1,280 width=768) (actual time=0.019..0.528 rows=1,280 loops=1)

634. 0.470 0.470 ↑ 1.0 1,098 1

Seq Scan on datas_part_0000009512 (cost=0.00..151.98 rows=1,098 width=771) (actual time=0.008..0.470 rows=1,098 loops=1)

635. 0.455 0.455 ↑ 1.0 1,286 1

Seq Scan on datas_part_0000009513 (cost=0.00..174.86 rows=1,286 width=771) (actual time=0.008..0.455 rows=1,286 loops=1)

636. 0.443 0.443 ↓ 1.0 1,306 1

Seq Scan on datas_part_0000009514 (cost=0.00..177.96 rows=1,296 width=768) (actual time=0.007..0.443 rows=1,306 loops=1)

637. 0.458 0.458 ↑ 1.0 1,265 1

Seq Scan on datas_part_0000009515 (cost=0.00..177.65 rows=1,265 width=774) (actual time=0.007..0.458 rows=1,265 loops=1)

638. 0.671 0.671 ↑ 1.0 1,247 1

Seq Scan on datas_part_0000009516 (cost=0.00..168.47 rows=1,247 width=773) (actual time=0.007..0.671 rows=1,247 loops=1)

639. 0.495 0.495 ↑ 1.0 1,314 1

Seq Scan on datas_part_0000009517 (cost=0.00..179.14 rows=1,314 width=770) (actual time=0.006..0.495 rows=1,314 loops=1)

640. 0.459 0.459 ↑ 1.0 1,227 1

Seq Scan on datas_part_0000009519 (cost=0.00..156.27 rows=1,227 width=773) (actual time=0.007..0.459 rows=1,227 loops=1)

641. 0.597 0.597 ↑ 1.0 1,328 1

Seq Scan on datas_part_0000009520 (cost=0.00..182.28 rows=1,328 width=773) (actual time=0.008..0.597 rows=1,328 loops=1)

642. 0.478 0.478 ↑ 1.0 1,294 1

Seq Scan on datas_part_0000009521 (cost=0.00..175.94 rows=1,294 width=770) (actual time=0.007..0.478 rows=1,294 loops=1)

643. 0.452 0.452 ↓ 1.0 1,274 1

Seq Scan on datas_part_0000009522 (cost=0.00..163.68 rows=1,268 width=770) (actual time=0.008..0.452 rows=1,274 loops=1)

644. 0.489 0.489 ↓ 1.0 1,230 1

Seq Scan on datas_part_0000009523 (cost=0.00..152.27 rows=1,227 width=768) (actual time=0.008..0.489 rows=1,230 loops=1)

645. 0.524 0.524 ↑ 1.0 1,336 1

Seq Scan on datas_part_0000009524 (cost=0.00..179.36 rows=1,336 width=771) (actual time=0.008..0.524 rows=1,336 loops=1)

646. 0.455 0.455 ↑ 1.0 1,249 1

Seq Scan on datas_part_0000009525 (cost=0.00..174.49 rows=1,249 width=768) (actual time=0.008..0.455 rows=1,249 loops=1)

647. 0.684 0.684 ↓ 1.0 1,268 1

Seq Scan on datas_part_0000009526 (cost=0.00..193.64 rows=1,264 width=767) (actual time=0.007..0.684 rows=1,268 loops=1)

648. 0.456 0.456 ↓ 1.0 1,271 1

Seq Scan on datas_part_0000009527 (cost=0.00..171.64 rows=1,264 width=769) (actual time=0.015..0.456 rows=1,271 loops=1)

649. 0.459 0.459 ↑ 1.0 1,324 1

Seq Scan on datas_part_0000009528 (cost=0.00..184.24 rows=1,324 width=769) (actual time=0.008..0.459 rows=1,324 loops=1)

650. 0.440 0.440 ↑ 1.0 1,356 1

Seq Scan on datas_part_0000009529 (cost=0.00..165.56 rows=1,356 width=769) (actual time=0.008..0.440 rows=1,356 loops=1)

651. 0.428 0.428 ↑ 1.0 1,240 1

Seq Scan on datas_part_0000009530 (cost=0.00..163.40 rows=1,240 width=773) (actual time=0.008..0.428 rows=1,240 loops=1)

652. 0.463 0.463 ↑ 1.0 1,320 1

Seq Scan on datas_part_0000009531 (cost=0.00..176.20 rows=1,320 width=770) (actual time=0.007..0.463 rows=1,320 loops=1)

653. 0.453 0.453 ↑ 1.0 1,310 1

Seq Scan on datas_part_0000009532 (cost=0.00..177.10 rows=1,310 width=770) (actual time=0.007..0.453 rows=1,310 loops=1)

654. 0.439 0.439 ↑ 1.0 1,259 1

Seq Scan on datas_part_0000009533 (cost=0.00..167.59 rows=1,259 width=772) (actual time=0.007..0.439 rows=1,259 loops=1)

655. 0.422 0.422 ↑ 1.0 1,250 1

Seq Scan on datas_part_0000009534 (cost=0.00..156.50 rows=1,250 width=773) (actual time=0.007..0.422 rows=1,250 loops=1)

656. 0.312 0.312 ↑ 1.0 910 1

Seq Scan on datas_part_0000009535 (cost=0.00..128.10 rows=910 width=763) (actual time=0.007..0.312 rows=910 loops=1)

657. 0.488 0.488 ↑ 1.0 1,364 1

Seq Scan on datas_part_0000009536 (cost=0.00..182.64 rows=1,364 width=768) (actual time=0.007..0.488 rows=1,364 loops=1)

658. 0.016 0.016 ↑ 1.0 40 1

Seq Scan on datas_part_default_tab (cost=0.00..2.40 rows=40 width=782) (actual time=0.008..0.016 rows=40 loops=1)

659. 0.029 2.257 ↑ 582.4 48 1

Hash (cost=46,744.50..46,744.50 rows=27,957 width=52) (actual time=2.257..2.257 rows=48 loops=1)

  • Buckets: 32768 Batches: 1 Memory Usage: 261kB
660. 0.261 2.228 ↑ 582.4 48 1

HashAggregate (cost=46,185.36..46,464.93 rows=27,957 width=52) (actual time=2.016..2.228 rows=48 loops=1)

  • Group Key: datas_part_0000008825_1.idaccount, datas_part_0000008825_1.source, datas_part_0000008825_1.ideventtype, datas_part_0000008825_1.idequipment, datas_part_0000008825_1.idstatustype
661. 0.154 1.967 ↑ 5,824.5 48 1

Append (cost=0.12..41,991.75 rows=279,574 width=52) (actual time=0.143..1.967 rows=48 loops=1)

662. 0.012 0.012 ↓ 0.0 0 1

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

663. 0.004 0.004 ↓ 0.0 0 1

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

664. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008827_idstatustype_idx on datas_part_0000008827 datas_part_0000008827_1 (cost=0.12..63.87 rows=442 width=52) (actual time=0.003..0.003 rows=0 loops=1)

665. 0.004 0.004 ↓ 0.0 0 1

Index Scan using datas_part_0000008828_idstatustype_idx on datas_part_0000008828 datas_part_0000008828_1 (cost=0.12..60.54 rows=442 width=52) (actual time=0.004..0.004 rows=0 loops=1)

666. 0.004 0.004 ↓ 0.0 0 1

Index Scan using datas_part_0000008829_idstatustype_idx on datas_part_0000008829 datas_part_0000008829_1 (cost=0.12..31.43 rows=218 width=52) (actual time=0.004..0.004 rows=0 loops=1)

667. 0.004 0.004 ↓ 0.0 0 1

Index Scan using datas_part_0000008830_idstatustype_idx on datas_part_0000008830 datas_part_0000008830_1 (cost=0.12..62.62 rows=442 width=52) (actual time=0.003..0.004 rows=0 loops=1)

668. 0.004 0.004 ↓ 0.0 0 1

Index Scan using datas_part_0000008831_idstatustype_idx on datas_part_0000008831 datas_part_0000008831_1 (cost=0.12..59.51 rows=441 width=52) (actual time=0.004..0.004 rows=0 loops=1)

669. 0.003 0.003 ↓ 0.0 0 1

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

670. 0.003 0.003 ↓ 0.0 0 1

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

671. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008834_idstatustype_idx on datas_part_0000008834 datas_part_0000008834_1 (cost=0.12..67.69 rows=437 width=52) (actual time=0.003..0.003 rows=0 loops=1)

672. 0.003 0.003 ↓ 0.0 0 1

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

673. 0.003 0.003 ↓ 0.0 0 1

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

674. 0.004 0.004 ↓ 0.0 0 1

Index Scan using datas_part_0000008837_idstatustype_idx on datas_part_0000008837 datas_part_0000008837_1 (cost=0.12..58.44 rows=437 width=52) (actual time=0.004..0.004 rows=0 loops=1)

675. 0.003 0.003 ↓ 0.0 0 1

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

676. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008839_idstatustype_idx on datas_part_0000008839 datas_part_0000008839_1 (cost=0.12..57.52 rows=440 width=52) (actual time=0.003..0.003 rows=0 loops=1)

677. 0.003 0.003 ↓ 0.0 0 1

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

678. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008841_idstatustype_idx on datas_part_0000008841 datas_part_0000008841_1 (cost=0.12..77.50 rows=436 width=52) (actual time=0.003..0.003 rows=0 loops=1)

679. 0.002 0.002 ↓ 0.0 0 1

Index Scan using datas_part_0000008842_idstatustype_idx on datas_part_0000008842 datas_part_0000008842_1 (cost=0.12..56.39 rows=428 width=52) (actual time=0.002..0.002 rows=0 loops=1)

680. 0.003 0.003 ↓ 0.0 0 1

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

681. 0.003 0.003 ↓ 0.0 0 1

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

682. 0.003 0.003 ↓ 0.0 0 1

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

683. 0.003 0.003 ↓ 0.0 0 1

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

684. 0.002 0.002 ↓ 0.0 0 1

Index Scan using datas_part_0000008848_idstatustype_idx on datas_part_0000008848 datas_part_0000008848_1 (cost=0.12..60.48 rows=424 width=52) (actual time=0.002..0.002 rows=0 loops=1)

685. 0.003 0.003 ↓ 0.0 0 1

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

686. 0.003 0.003 ↓ 0.0 0 1

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

687. 0.003 0.003 ↓ 0.0 0 1

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

688. 0.003 0.003 ↓ 0.0 0 1

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

689. 0.003 0.003 ↓ 0.0 0 1

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

690. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008855_idstatustype_idx on datas_part_0000008855 datas_part_0000008855_1 (cost=0.12..65.19 rows=436 width=52) (actual time=0.003..0.003 rows=0 loops=1)

691. 0.003 0.003 ↓ 0.0 0 1

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

692. 0.003 0.003 ↓ 0.0 0 1

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

693. 0.003 0.003 ↓ 0.0 0 1

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

694. 0.003 0.003 ↓ 0.0 0 1

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

695. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008861_idstatustype_idx on datas_part_0000008861 datas_part_0000008861_1 (cost=0.12..62.64 rows=436 width=52) (actual time=0.002..0.003 rows=0 loops=1)

696. 0.002 0.002 ↓ 0.0 0 1

Index Scan using datas_part_0000008863_idstatustype_idx on datas_part_0000008863 datas_part_0000008863_1 (cost=0.12..56.45 rows=424 width=52) (actual time=0.002..0.002 rows=0 loops=1)

697. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008864_idstatustype_idx on datas_part_0000008864 datas_part_0000008864_1 (cost=0.12..56.53 rows=428 width=52) (actual time=0.003..0.003 rows=0 loops=1)

698. 0.003 0.003 ↓ 0.0 0 1

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

699. 0.011 0.011 ↑ 435.0 1 1

Index Scan using datas_part_0000008866_idstatustype_idx on datas_part_0000008866 datas_part_0000008866_1 (cost=0.12..64.04 rows=435 width=52) (actual time=0.010..0.011 rows=1 loops=1)

700. 0.003 0.003 ↓ 0.0 0 1

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

701. 0.003 0.003 ↓ 0.0 0 1

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

702. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008869_idstatustype_idx on datas_part_0000008869 datas_part_0000008869_1 (cost=0.12..64.72 rows=434 width=52) (actual time=0.003..0.003 rows=0 loops=1)

703. 0.002 0.002 ↓ 0.0 0 1

Index Scan using datas_part_0000008870_idstatustype_idx on datas_part_0000008870 datas_part_0000008870_1 (cost=0.12..65.56 rows=434 width=52) (actual time=0.002..0.002 rows=0 loops=1)

704. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008871_idstatustype_idx on datas_part_0000008871 datas_part_0000008871_1 (cost=0.12..60.57 rows=435 width=52) (actual time=0.003..0.003 rows=0 loops=1)

705. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008872_idstatustype_idx on datas_part_0000008872 datas_part_0000008872_1 (cost=0.12..61.66 rows=439 width=52) (actual time=0.003..0.003 rows=0 loops=1)

706. 0.003 0.003 ↓ 0.0 0 1

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

707. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008874_idstatustype_idx on datas_part_0000008874 datas_part_0000008874_1 (cost=0.12..62.31 rows=434 width=52) (actual time=0.003..0.003 rows=0 loops=1)

708. 0.003 0.003 ↓ 0.0 0 1

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

709. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008876_idstatustype_idx on datas_part_0000008876 datas_part_0000008876_1 (cost=0.12..62.60 rows=439 width=52) (actual time=0.003..0.003 rows=0 loops=1)

710. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008877_idstatustype_idx on datas_part_0000008877 datas_part_0000008877_1 (cost=0.12..63.59 rows=435 width=52) (actual time=0.003..0.003 rows=0 loops=1)

711. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008878_idstatustype_idx on datas_part_0000008878 datas_part_0000008878_1 (cost=0.12..60.54 rows=431 width=52) (actual time=0.003..0.003 rows=0 loops=1)

712. 0.002 0.002 ↓ 0.0 0 1

Index Scan using datas_part_0000008879_idstatustype_idx on datas_part_0000008879 datas_part_0000008879_1 (cost=0.12..67.65 rows=431 width=52) (actual time=0.002..0.002 rows=0 loops=1)

713. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008880_idstatustype_idx on datas_part_0000008880 datas_part_0000008880_1 (cost=0.12..66.84 rows=458 width=52) (actual time=0.002..0.003 rows=0 loops=1)

714. 0.003 0.003 ↓ 0.0 0 1

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

715. 0.002 0.002 ↓ 0.0 0 1

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

716. 0.002 0.002 ↓ 0.0 0 1

Index Scan using datas_part_0000008883_idstatustype_idx on datas_part_0000008883 datas_part_0000008883_1 (cost=0.12..61.58 rows=436 width=52) (actual time=0.002..0.002 rows=0 loops=1)

717. 0.003 0.003 ↓ 0.0 0 1

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

718. 0.003 0.003 ↓ 0.0 0 1

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

719. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008886_idstatustype_idx on datas_part_0000008886 datas_part_0000008886_1 (cost=0.12..56.61 rows=437 width=52) (actual time=0.003..0.003 rows=0 loops=1)

720. 0.002 0.002 ↓ 0.0 0 1

Index Scan using datas_part_0000008887_idstatustype_idx on datas_part_0000008887 datas_part_0000008887_1 (cost=0.12..64.59 rows=442 width=52) (actual time=0.002..0.002 rows=0 loops=1)

721. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008888_idstatustype_idx on datas_part_0000008888 datas_part_0000008888_1 (cost=0.12..62.76 rows=457 width=52) (actual time=0.003..0.003 rows=0 loops=1)

722. 0.002 0.002 ↓ 0.0 0 1

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

723. 0.002 0.002 ↓ 0.0 0 1

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

724. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008891_idstatustype_idx on datas_part_0000008891 datas_part_0000008891_1 (cost=0.12..62.56 rows=440 width=52) (actual time=0.003..0.003 rows=0 loops=1)

725. 0.003 0.003 ↓ 0.0 0 1

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

726. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008893_idstatustype_idx on datas_part_0000008893 datas_part_0000008893_1 (cost=0.12..61.53 rows=440 width=52) (actual time=0.003..0.003 rows=0 loops=1)

727. 0.002 0.002 ↓ 0.0 0 1

Index Scan using datas_part_0000008894_idstatustype_idx on datas_part_0000008894 datas_part_0000008894_1 (cost=0.12..60.53 rows=441 width=52) (actual time=0.002..0.002 rows=0 loops=1)

728. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008895_idstatustype_idx on datas_part_0000008895 datas_part_0000008895_1 (cost=0.12..73.62 rows=443 width=52) (actual time=0.003..0.003 rows=0 loops=1)

729. 0.003 0.003 ↓ 0.0 0 1

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

730. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008897_idstatustype_idx on datas_part_0000008897 datas_part_0000008897_1 (cost=0.12..74.62 rows=407 width=52) (actual time=0.003..0.003 rows=0 loops=1)

731. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008898_idstatustype_idx on datas_part_0000008898 datas_part_0000008898_1 (cost=0.12..74.51 rows=415 width=52) (actual time=0.003..0.003 rows=0 loops=1)

732. 0.003 0.003 ↓ 0.0 0 1

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

733. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008900_idstatustype_idx on datas_part_0000008900 datas_part_0000008900_1 (cost=0.12..67.48 rows=404 width=52) (actual time=0.003..0.003 rows=0 loops=1)

734. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008901_idstatustype_idx on datas_part_0000008901 datas_part_0000008901_1 (cost=0.12..79.72 rows=425 width=52) (actual time=0.003..0.003 rows=0 loops=1)

735. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008902_idstatustype_idx on datas_part_0000008902 datas_part_0000008902_1 (cost=0.12..61.58 rows=444 width=52) (actual time=0.003..0.003 rows=0 loops=1)

736. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008904_idstatustype_idx on datas_part_0000008904 datas_part_0000008904_1 (cost=0.12..80.81 rows=422 width=52) (actual time=0.003..0.003 rows=0 loops=1)

737. 0.004 0.004 ↓ 0.0 0 1

Index Scan using datas_part_0000008905_idstatustype_idx on datas_part_0000008905 datas_part_0000008905_1 (cost=0.12..60.48 rows=436 width=52) (actual time=0.003..0.004 rows=0 loops=1)

738. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008906_idstatustype_idx on datas_part_0000008906 datas_part_0000008906_1 (cost=0.12..76.73 rows=413 width=52) (actual time=0.002..0.003 rows=0 loops=1)

739. 0.002 0.002 ↓ 0.0 0 1

Index Scan using datas_part_0000008907_idstatustype_idx on datas_part_0000008907 datas_part_0000008907_1 (cost=0.12..57.55 rows=440 width=52) (actual time=0.002..0.002 rows=0 loops=1)

740. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008908_idstatustype_idx on datas_part_0000008908 datas_part_0000008908_1 (cost=0.12..80.80 rows=420 width=52) (actual time=0.003..0.003 rows=0 loops=1)

741. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008909_idstatustype_idx on datas_part_0000008909 datas_part_0000008909_1 (cost=0.12..61.56 rows=437 width=52) (actual time=0.002..0.003 rows=0 loops=1)

742. 0.002 0.002 ↓ 0.0 0 1

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

743. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008911_idstatustype_idx on datas_part_0000008911 datas_part_0000008911_1 (cost=0.12..60.58 rows=440 width=52) (actual time=0.003..0.003 rows=0 loops=1)

744. 0.003 0.003 ↓ 0.0 0 1

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

745. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008913_idstatustype_idx on datas_part_0000008913 datas_part_0000008913_1 (cost=0.12..58.72 rows=439 width=52) (actual time=0.002..0.003 rows=0 loops=1)

746. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008914_idstatustype_idx on datas_part_0000008914 datas_part_0000008914_1 (cost=0.12..64.38 rows=443 width=52) (actual time=0.003..0.003 rows=0 loops=1)

747. 0.003 0.003 ↓ 0.0 0 1

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

748. 0.002 0.002 ↓ 0.0 0 1

Index Scan using datas_part_0000008917_idstatustype_idx on datas_part_0000008917 datas_part_0000008917_1 (cost=0.12..65.63 rows=439 width=52) (actual time=0.002..0.002 rows=0 loops=1)

749. 0.002 0.002 ↓ 0.0 0 1

Index Scan using datas_part_0000008919_idstatustype_idx on datas_part_0000008919 datas_part_0000008919_1 (cost=0.12..61.57 rows=445 width=52) (actual time=0.002..0.002 rows=0 loops=1)

750. 0.003 0.003 ↓ 0.0 0 1

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

751. 0.002 0.002 ↓ 0.0 0 1

Index Scan using datas_part_0000008921_idstatustype_idx on datas_part_0000008921 datas_part_0000008921_1 (cost=0.12..63.66 rows=444 width=52) (actual time=0.002..0.002 rows=0 loops=1)

752. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008922_idstatustype_idx on datas_part_0000008922 datas_part_0000008922_1 (cost=0.12..56.79 rows=446 width=52) (actual time=0.003..0.003 rows=0 loops=1)

753. 0.002 0.002 ↓ 0.0 0 1

Index Scan using datas_part_0000008923_idstatustype_idx on datas_part_0000008923 datas_part_0000008923_1 (cost=0.12..66.67 rows=441 width=52) (actual time=0.002..0.002 rows=0 loops=1)

754. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008924_idstatustype_idx on datas_part_0000008924 datas_part_0000008924_1 (cost=0.12..68.74 rows=444 width=52) (actual time=0.003..0.003 rows=0 loops=1)

755. 0.002 0.002 ↓ 0.0 0 1

Index Scan using datas_part_0000008925_idstatustype_idx on datas_part_0000008925 datas_part_0000008925_1 (cost=0.12..62.88 rows=432 width=52) (actual time=0.002..0.002 rows=0 loops=1)

756. 0.003 0.003 ↓ 0.0 0 1

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

757. 0.003 0.003 ↓ 0.0 0 1

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

758. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008928_idstatustype_idx on datas_part_0000008928 datas_part_0000008928_1 (cost=0.12..70.20 rows=430 width=52) (actual time=0.003..0.003 rows=0 loops=1)

759. 0.003 0.003 ↓ 0.0 0 1

Index Scan using datas_part_0000008929_idstatustype_idx on datas_part_0000008929 datas_part_0000008929_1 (cost=0.12..65.60 rows=427 width=52) (actual time=0.003..0.003 rows=0 loops=1)

760. 0.003 0.003 ↓ 0.0 0 1

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

761. 0.003 0.003 ↓ 0.0 0 1

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

762. 0.002 0.002 ↓ 0.0 0 1

Index Scan using datas_part_0000008932_idstatustype_idx on datas_part_0000008932 datas_part_0000008932_1 (cost=0.12..61.53 rows=420 width=52) (actual time=0.002..0.002 rows=0 loops=1)

763. 0.003 0.003 ↓ 0.0 0 1

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

764. 0.003 0.003 ↓ 0.0 0 1

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

765. 0.003 0.003 ↓ 0.0 0 1

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

766. 0.002 0.002 ↓ 0.0 0 1

Index Scan using datas_part_0000008936_idstatustype_idx on datas_part_0000008936 datas_part_0000008936_1 (cost=0.12..55.92 rows=412 width=52) (actual time=0.002..0.002 rows=0 loops=1)

767. 0.002 0.002 ↓ 0.0 0 1

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

768. 0.002 0.002 ↓ 0.0 0 1

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

769. 0.003 0.003 ↓ 0.0 0 1

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

770. 0.002 0.002 ↓ 0.0 0 1