explain.depesz.com

PostgreSQL's explain analyze made readable

Result: Rarx

Settings
<
# exclusive inclusive rows x rows loops node
1. 562.882 64,911.739 ↓ 47.2 67,458 1

Append (cost=10,000,000,000.00..14,280,000,238,116.75 rows=1,428 width=160) (actual time=64,754.269..64,911.739 rows=67,458 loops=1)

  • Functions: 5712
  • Options: Inlining true, Optimization true, Expressions true, Deforming true
  • Timing: Generation 927.910 ms, Inlining 197.028 ms, Optimization 35900.795 ms, Emission 25462.528 ms, Total 62488.261 ms"Execution Time: 65877.411 ms
2. 0.053 0.053 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1386 a (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.053..0.053 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
3. 0.017 0.017 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1344 a_1 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.017..0.017 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
4. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1302 a_2 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
5. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1260 a_3 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
6. 0.016 0.016 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1218 a_4 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.016..0.016 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
7. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1176 a_5 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
8. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1134 a_6 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
9. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1092 a_7 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
10. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1050 a_8 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
11. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1008 a_9 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
12. 0.017 0.017 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_966 a_10 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.017..0.017 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
13. 0.017 0.017 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_924 a_11 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.017..0.017 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
14. 0.016 0.016 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_882 a_12 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.016..0.016 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
15. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_840 a_13 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
16. 0.016 0.016 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_798 a_14 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.016..0.016 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
17. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_756 a_15 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
18. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_714 a_16 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
19. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_672 a_17 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
20. 0.016 0.016 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_630 a_18 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.016..0.016 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
21. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_588 a_19 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
22. 0.027 0.027 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_546 a_20 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.027..0.027 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
23. 0.017 0.017 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_504 a_21 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.017..0.017 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
24. 0.013 0.013 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_462 a_22 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.013..0.013 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
25. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_420 a_23 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
26. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_378 a_24 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
27. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_336 a_25 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
28. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_294 a_26 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
29. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_252 a_27 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
30. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_210 a_28 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
31. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_168 a_29 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
32. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_126 a_30 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
33. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_84 a_31 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
34. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_42 a_32 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
35. 0.016 0.016 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_0 a_33 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.016..0.016 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
36. 0.012 0.012 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1387 a_34 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.012..0.012 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
37. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1345 a_35 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
38. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1303 a_36 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
39. 0.013 0.013 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1261 a_37 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.013..0.013 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
40. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1219 a_38 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
41. 0.012 0.012 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1177 a_39 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.012..0.012 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
42. 0.013 0.013 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1135 a_40 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.013..0.013 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
43. 0.013 0.013 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1093 a_41 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.013..0.013 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
44. 0.012 0.012 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1051 a_42 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.012..0.012 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
45. 0.030 0.030 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1009 a_43 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.030..0.030 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
46. 0.016 0.016 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_967 a_44 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.016..0.016 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
47. 0.013 0.013 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_925 a_45 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.013..0.013 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
48. 0.013 0.013 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_883 a_46 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.013..0.013 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
49. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_841 a_47 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
50. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_799 a_48 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
51. 0.013 0.013 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_757 a_49 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.013..0.013 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
52. 0.023 0.023 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_715 a_50 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.023..0.023 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
53. 61,715.116 61,715.116 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_673 a_51 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=61,715.116..61,715.116 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 36
54. 6.714 6.714 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_631 a_52 (cost=10,000,000,000.00..10,000,000,018.96 rows=1 width=25) (actual time=6.714..6.714 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 68
55. 5.911 5.911 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_589 a_53 (cost=10,000,000,000.00..10,000,000,058.48 rows=1 width=24) (actual time=5.911..5.911 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 234
56. 5.320 5.320 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_547 a_54 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=5.320..5.320 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 18
57. 4.808 4.808 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_505 a_55 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=4.808..4.808 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 6
58. 0.036 0.036 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_463 a_56 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.036..0.036 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
59. 0.017 0.017 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_421 a_57 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.016..0.017 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
60. 0.016 0.016 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_379 a_58 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.016..0.016 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
61. 0.016 0.016 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_337 a_59 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.016..0.016 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
62. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_295 a_60 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
63. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_253 a_61 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
64. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_211 a_62 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
65. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_169 a_63 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
66. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_127 a_64 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
67. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_85 a_65 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
68. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_43 a_66 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
69. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1 a_67 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
70. 0.016 0.016 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1388 a_68 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.016..0.016 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
71. 0.016 0.016 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1346 a_69 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.016 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
72. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1304 a_70 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
73. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1262 a_71 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
74. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1220 a_72 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
75. 0.033 0.033 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1178 a_73 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.033..0.033 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
76. 0.017 0.017 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1136 a_74 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.017..0.017 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
77. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1094 a_75 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
78. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1052 a_76 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
79. 0.028 0.028 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1010 a_77 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.028..0.028 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
80. 4.593 4.593 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_968 a_78 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=4.593..4.593 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 4
81. 0.034 0.034 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_926 a_79 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.034..0.034 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
82. 0.022 0.022 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_884 a_80 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.022..0.022 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
83. 0.017 0.017 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_842 a_81 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.016..0.017 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
84. 3.281 3.281 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_800 a_82 (cost=10,000,000,000.00..10,000,000,050.66 rows=1 width=20) (actual time=3.281..3.281 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 203
85. 8.481 8.481 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_758 a_83 (cost=10,000,000,000.00..10,000,000,535.04 rows=1 width=23) (actual time=8.481..8.481 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 2132
86. 3.068 3.068 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_716 a_84 (cost=10,000,000,000.00..10,000,000,066.00 rows=1 width=25) (actual time=3.068..3.068 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 250
87. 2.473 2.473 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_674 a_85 (cost=10,000,000,000.00..10,000,000,038.14 rows=1 width=26) (actual time=2.473..2.473 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 137
88. 0.794 0.794 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_632 a_86 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.794..0.794 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 37
89. 1.404 1.404 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_590 a_87 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=1.404..1.404 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 17
90. 1.971 1.971 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_548 a_88 (cost=10,000,000,000.00..10,000,000,027.66 rows=1 width=29) (actual time=1.971..1.971 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 103
91. 1.852 1.852 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_506 a_89 (cost=10,000,000,000.00..10,000,000,034.70 rows=1 width=26) (actual time=1.852..1.852 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 135
92. 0.802 0.802 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_464 a_90 (cost=10,000,000,000.00..10,000,000,013.44 rows=1 width=18) (actual time=0.802..0.802 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 52
93. 0.021 0.021 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_422 a_91 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.021..0.021 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
94. 0.023 0.023 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_380 a_92 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.023..0.023 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
95. 0.016 0.016 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_338 a_93 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.016..0.016 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
96. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_296 a_94 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
97. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_254 a_95 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
98. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_212 a_96 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
99. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_170 a_97 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
100. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_128 a_98 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
101. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_86 a_99 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
102. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_44 a_100 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
103. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_2 a_101 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
104. 0.016 0.016 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1389 a_102 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.016..0.016 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
105. 0.013 0.013 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1347 a_103 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.013..0.013 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
106. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1305 a_104 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
107. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1263 a_105 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
108. 0.013 0.013 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1221 a_106 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.013..0.013 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
109. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1179 a_107 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
110. 0.059 0.059 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1137 a_108 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.059..0.059 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
111. 0.016 0.016 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1095 a_109 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.016..0.016 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
112. 0.016 0.016 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1053 a_110 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.016..0.016 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
113. 8.130 8.130 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1011 a_111 (cost=10,000,000,000.00..10,000,000,461.96 rows=1 width=19) (actual time=8.130..8.130 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 1818
114. 25.567 25.567 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_969 a_112 (cost=10,000,000,000.00..10,000,002,108.70 rows=1 width=20) (actual time=25.567..25.567 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 8385
115. 28.910 28.910 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_927 a_113 (cost=10,000,000,000.00..10,000,003,047.54 rows=1 width=19) (actual time=28.910..28.910 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 12507
116. 35.913 35.913 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_885 a_114 (cost=10,000,000,000.00..10,000,003,597.88 rows=1 width=20) (actual time=35.913..35.913 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 14804
117. 6.508 6.508 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_843 a_115 (cost=10,000,000,000.00..10,000,000,292.46 rows=1 width=20) (actual time=6.508..6.508 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 1093
118. 68.831 68.831 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_801 a_116 (cost=10,000,000,000.00..10,000,000,339.30 rows=1 width=22) (actual time=68.831..68.831 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 1265
119. 2.094 2.094 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_759 a_117 (cost=10,000,000,000.00..10,000,000,170.54 rows=1 width=23) (actual time=2.094..2.094 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 657
120. 0.588 0.588 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_717 a_118 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.588..0.588 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 8
121. 1.326 1.326 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_675 a_119 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=1.326..1.326 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 36
122. 0.038 0.038 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_633 a_120 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.037..0.038 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
123. 0.018 0.018 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_591 a_121 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.018..0.018 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
124. 1.047 1.047 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_549 a_122 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=1.047..1.047 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 30
125. 1.341 1.341 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_507 a_123 (cost=10,000,000,000.00..10,000,000,025.24 rows=1 width=30) (actual time=1.341..1.341 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 92
126. 1.123 1.123 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_465 a_124 (cost=10,000,000,000.00..10,000,000,018.62 rows=1 width=25) (actual time=1.123..1.123 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 71
127. 0.029 0.029 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_423 a_125 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.029..0.029 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
128. 0.016 0.016 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_381 a_126 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.016..0.016 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
129. 0.016 0.016 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_339 a_127 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.016..0.016 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
130. 0.040 0.040 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_297 a_128 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.040..0.040 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
131. 0.017 0.017 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_255 a_129 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.017..0.017 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
132. 0.016 0.016 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_213 a_130 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.016..0.016 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
133. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_171 a_131 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
134. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_129 a_132 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
135. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_87 a_133 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
136. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_45 a_134 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
137. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_3 a_135 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
138. 0.016 0.016 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1390 a_136 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.016..0.016 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
139. 0.021 0.021 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1348 a_137 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.021..0.021 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
140. 0.017 0.017 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1306 a_138 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.017..0.017 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
141. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1264 a_139 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
142. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1222 a_140 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
143. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1180 a_141 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
144. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1138 a_142 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
145. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1096 a_143 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
146. 0.533 0.533 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1054 a_144 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.533..0.533 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 14
147. 8.835 8.835 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1012 a_145 (cost=10,000,000,000.00..10,000,001,270.38 rows=1 width=21) (actual time=8.835..8.835 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 4979
148. 11.080 11.080 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_970 a_146 (cost=10,000,000,000.00..10,000,001,297.96 rows=1 width=22) (actual time=11.080..11.080 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 5068
149. 12.232 12.232 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_928 a_147 (cost=10,000,000,000.00..10,000,001,241.10 rows=1 width=21) (actual time=12.232..12.232 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 4905
150. 11.736 11.736 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_886 a_148 (cost=10,000,000,000.00..10,000,001,994.04 rows=1 width=22) (actual time=11.736..11.736 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 8032
151. 3.373 3.373 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_844 a_149 (cost=10,000,000,000.00..10,000,000,526.78 rows=1 width=23) (actual time=3.373..3.373 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 2099
152. 2.387 2.387 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_802 a_150 (cost=10,000,000,000.00..10,000,000,268.36 rows=1 width=21) (actual time=2.387..2.387 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 1038
153. 1.751 1.751 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_760 a_151 (cost=10,000,000,000.00..10,000,000,042.56 rows=1 width=25) (actual time=1.751..1.751 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 148
154. 1.457 1.457 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_718 a_152 (cost=10,000,000,000.00..10,000,000,019.10 rows=1 width=27) (actual time=1.457..1.457 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 55
155. 0.025 0.025 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_676 a_153 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.025..0.025 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
156. 0.016 0.016 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_634 a_154 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.016..0.016 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
157. 0.016 0.016 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_592 a_155 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.016..0.016 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
158. 0.023 0.023 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_550 a_156 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.023..0.023 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
159. 0.537 0.537 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_508 a_157 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.537..0.537 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 31
160. 0.951 0.951 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_466 a_158 (cost=10,000,000,000.00..10,000,000,015.76 rows=1 width=27) (actual time=0.951..0.951 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 58
161. 1.470 1.470 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_424 a_159 (cost=10,000,000,000.00..10,000,000,055.62 rows=1 width=22) (actual time=1.470..1.470 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 221
162. 0.026 0.026 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_382 a_160 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.026..0.026 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
163. 0.017 0.017 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_340 a_161 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.017..0.017 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
164. 0.024 0.024 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_298 a_162 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.024..0.024 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
165. 0.024 0.024 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_256 a_163 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.024..0.024 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
166. 0.020 0.020 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_214 a_164 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.020..0.020 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
167. 0.016 0.016 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_172 a_165 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.016..0.016 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
168. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_130 a_166 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
169. 0.016 0.016 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_88 a_167 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.016..0.016 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
170. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_46 a_168 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
171. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_4 a_169 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
172. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1391 a_170 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
173. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1349 a_171 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
174. 0.021 0.021 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1307 a_172 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.021..0.021 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
175. 0.021 0.021 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1265 a_173 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.021..0.021 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
176. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1223 a_174 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
177. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1181 a_175 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
178. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1139 a_176 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
179. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1097 a_177 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
180. 2.028 2.028 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1055 a_178 (cost=10,000,000,000.00..10,000,000,188.08 rows=1 width=21) (actual time=2.028..2.028 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 764
181. 7.799 7.799 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1013 a_179 (cost=10,000,000,000.00..10,000,001,149.74 rows=1 width=21) (actual time=7.799..7.799 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 4567
182. 6.755 6.755 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_971 a_180 (cost=10,000,000,000.00..10,000,000,922.56 rows=1 width=21) (actual time=6.755..6.755 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 3648
183. 6.742 6.742 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_929 a_181 (cost=10,000,000,000.00..10,000,000,892.46 rows=1 width=22) (actual time=6.742..6.742 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 3543
184. 6.039 6.039 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_887 a_182 (cost=10,000,000,000.00..10,000,000,842.26 rows=1 width=23) (actual time=6.039..6.039 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 3333
185. 3.004 3.004 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_845 a_183 (cost=10,000,000,000.00..10,000,000,366.54 rows=1 width=23) (actual time=3.004..3.004 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 1457
186. 1.483 1.483 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_803 a_184 (cost=10,000,000,000.00..10,000,000,021.06 rows=1 width=24) (actual time=1.483..1.483 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 73
187. 1.559 1.559 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_761 a_185 (cost=10,000,000,000.00..10,000,000,047.52 rows=1 width=27) (actual time=1.558..1.559 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 166
188. 1.594 1.594 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_719 a_186 (cost=10,000,000,000.00..10,000,000,037.46 rows=1 width=24) (actual time=1.594..1.594 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 143
189. 0.487 0.487 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_677 a_187 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.487..0.487 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 23
190. 0.023 0.023 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_635 a_188 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.023..0.023 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
191. 0.017 0.017 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_593 a_189 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.017..0.017 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
192. 1.020 1.020 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_551 a_190 (cost=10,000,000,000.00..10,000,000,021.26 rows=1 width=21) (actual time=1.020..1.020 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 83
193. 1.294 1.294 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_509 a_191 (cost=10,000,000,000.00..10,000,000,030.86 rows=1 width=25) (actual time=1.294..1.294 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 113
194. 0.025 0.025 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_467 a_192 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.025..0.025 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
195. 1.477 1.477 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_425 a_193 (cost=10,000,000,000.00..10,000,000,041.42 rows=1 width=28) (actual time=1.477..1.477 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 161
196. 0.023 0.023 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_383 a_194 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.023..0.023 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
197. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_341 a_195 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
198. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_299 a_196 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
199. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_257 a_197 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
200. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_215 a_198 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
201. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_173 a_199 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
202. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_131 a_200 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
203. 0.017 0.017 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_89 a_201 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.017..0.017 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
204. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_47 a_202 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
205. 0.016 0.016 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_5 a_203 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.016..0.016 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
206. 0.017 0.017 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1392 a_204 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.017..0.017 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
207. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1350 a_205 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
208. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1308 a_206 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
209. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1266 a_207 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
210. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1224 a_208 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
211. 0.016 0.016 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1182 a_209 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.016..0.016 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
212. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1140 a_210 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
213. 0.016 0.016 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1098 a_211 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.016..0.016 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
214. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1056 a_212 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
215. 3.904 3.904 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1014 a_213 (cost=10,000,000,000.00..10,000,000,352.76 rows=1 width=22) (actual time=3.904..3.904 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 1358
216. 3.767 3.767 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_972 a_214 (cost=10,000,000,000.00..10,000,000,356.42 rows=1 width=22) (actual time=3.767..3.767 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 1411
217. 3.166 3.166 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_930 a_215 (cost=10,000,000,000.00..10,000,000,370.84 rows=1 width=22) (actual time=3.166..3.166 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 1472
218. 8.233 8.233 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_888 a_216 (cost=10,000,000,000.00..10,000,000,495.84 rows=1 width=22) (actual time=8.233..8.233 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 1972
219. 2.668 2.668 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_846 a_217 (cost=10,000,000,000.00..10,000,000,136.94 rows=1 width=23) (actual time=2.668..2.668 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 527
220. 0.032 0.032 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_804 a_218 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.032..0.032 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
221. 0.996 0.996 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_762 a_219 (cost=10,000,000,000.00..10,000,000,014.44 rows=1 width=34) (actual time=0.996..0.996 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 52
222. 0.479 0.479 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_720 a_220 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.479..0.479 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 12
223. 1.205 1.205 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_678 a_221 (cost=10,000,000,000.00..10,000,000,037.02 rows=1 width=27) (actual time=1.205..1.205 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 141
224. 0.823 0.823 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_636 a_222 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.822..0.823 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 8
225. 0.024 0.024 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_594 a_223 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.024..0.024 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
226. 0.642 0.642 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_552 a_224 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.642..0.642 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 15
227. 2.666 2.666 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_510 a_225 (cost=10,000,000,000.00..10,000,000,068.30 rows=1 width=24) (actual time=2.666..2.666 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 215
228. 1.376 1.376 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_468 a_226 (cost=10,000,000,000.00..10,000,000,025.46 rows=1 width=27) (actual time=1.376..1.376 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 93
229. 2.632 2.632 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_426 a_227 (cost=10,000,000,000.00..10,000,000,130.18 rows=1 width=24) (actual time=2.632..2.632 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 519
230. 0.030 0.030 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_384 a_228 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.030..0.030 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
231. 0.017 0.017 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_342 a_229 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.017..0.017 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
232. 0.026 0.026 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_300 a_230 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.026..0.026 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
233. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_258 a_231 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
234. 0.016 0.016 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_216 a_232 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.016..0.016 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
235. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_174 a_233 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
236. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_132 a_234 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
237. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_90 a_235 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
238. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_48 a_236 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
239. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_6 a_237 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
240. 0.016 0.016 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1393 a_238 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.016..0.016 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
241. 0.013 0.013 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1351 a_239 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.013..0.013 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
242. 0.023 0.023 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1309 a_240 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.023..0.023 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
243. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1267 a_241 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
244. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1225 a_242 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.013..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
245. 0.026 0.026 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1183 a_243 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.026..0.026 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
246. 0.016 0.016 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1141 a_244 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.016..0.016 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
247. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1099 a_245 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
248. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1057 a_246 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
249. 1.639 1.639 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1015 a_247 (cost=10,000,000,000.00..10,000,000,050.46 rows=1 width=23) (actual time=1.639..1.639 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 193
250. 1.964 1.964 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_973 a_248 (cost=10,000,000,000.00..10,000,000,164.90 rows=1 width=22) (actual time=1.964..1.964 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 645
251. 1.782 1.782 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_931 a_249 (cost=10,000,000,000.00..10,000,000,115.16 rows=1 width=22) (actual time=1.782..1.782 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 428
252. 2.326 2.326 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_889 a_250 (cost=10,000,000,000.00..10,000,000,174.82 rows=1 width=24) (actual time=2.326..2.326 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 681
253. 1.876 1.876 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_847 a_251 (cost=10,000,000,000.00..10,000,000,028.90 rows=1 width=26) (actual time=1.876..1.876 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 95
254. 0.033 0.033 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_805 a_252 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.033..0.033 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
255. 50.345 50.345 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_763 a_253 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=50.345..50.345 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 6
256. 0.805 0.805 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_721 a_254 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.804..0.805 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 40
257. 1.300 1.300 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_679 a_255 (cost=10,000,000,000.00..10,000,000,017.08 rows=1 width=23) (actual time=1.300..1.300 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 64
258. 1.083 1.083 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_637 a_256 (cost=10,000,000,000.00..10,000,000,014.22 rows=1 width=27) (actual time=1.083..1.083 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 51
259. 1.023 1.023 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_595 a_257 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=1.023..1.023 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 46
260. 1.447 1.447 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_553 a_258 (cost=10,000,000,000.00..10,000,000,054.76 rows=1 width=23) (actual time=1.447..1.447 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 208
261. 1.204 1.204 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_511 a_259 (cost=10,000,000,000.00..10,000,000,041.88 rows=1 width=24) (actual time=1.204..1.204 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 154
262. 1.373 1.373 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_469 a_260 (cost=10,000,000,000.00..10,000,000,033.40 rows=1 width=26) (actual time=1.373..1.373 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 120
263. 1.420 1.420 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_427 a_261 (cost=10,000,000,000.00..10,000,000,038.90 rows=1 width=24) (actual time=1.420..1.420 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 145
264. 0.025 0.025 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_385 a_262 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.025..0.025 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
265. 0.016 0.016 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_343 a_263 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.016..0.016 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
266. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_301 a_264 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
267. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_259 a_265 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
268. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_217 a_266 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
269. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_175 a_267 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
270. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_133 a_268 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
271. 0.016 0.016 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_91 a_269 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.016..0.016 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
272. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_49 a_270 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
273. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_7 a_271 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
274. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1394 a_272 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
275. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1352 a_273 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
276. 0.016 0.016 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1310 a_274 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.016 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
277. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1268 a_275 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
278. 0.023 0.023 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1226 a_276 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.023..0.023 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
279. 0.017 0.017 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1184 a_277 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.016..0.017 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
280. 0.022 0.022 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1142 a_278 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.022..0.022 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
281. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1100 a_279 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
282. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1058 a_280 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
283. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1016 a_281 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
284. 2.368 2.368 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_974 a_282 (cost=10,000,000,000.00..10,000,000,171.42 rows=1 width=22) (actual time=2.368..2.368 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 661
285. 0.029 0.029 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_932 a_283 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.029..0.029 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
286. 0.788 0.788 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_890 a_284 (cost=10,000,000,000.00..10,000,000,021.38 rows=1 width=25) (actual time=0.788..0.788 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 79
287. 1.705 1.705 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_848 a_285 (cost=10,000,000,000.00..10,000,000,025.20 rows=1 width=226) (actual time=1.705..1.705 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 49
288. 0.471 0.471 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_806 a_286 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.471..0.471 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 2
289. 0.576 0.576 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_764 a_287 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.576..0.576 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 19
290. 0.942 0.942 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_722 a_288 (cost=10,000,000,000.00..10,000,000,035.04 rows=1 width=22) (actual time=0.942..0.942 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 132
291. 0.974 0.974 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_680 a_289 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.974..0.974 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 55
292. 0.025 0.025 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_638 a_290 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.025..0.025 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
293. 0.017 0.017 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_596 a_291 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.017..0.017 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
294. 0.462 0.462 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_554 a_292 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.462..0.462 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 8
295. 1.117 1.117 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_512 a_293 (cost=10,000,000,000.00..10,000,000,019.10 rows=1 width=24) (actual time=1.117..1.117 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 55
296. 0.966 0.966 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_470 a_294 (cost=10,000,000,000.00..10,000,000,026.22 rows=1 width=22) (actual time=0.966..0.966 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 101
297. 0.980 0.980 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_428 a_295 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.980..0.980 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 49
298. 0.548 0.548 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_386 a_296 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.548..0.548 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 26
299. 0.030 0.030 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_344 a_297 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.030..0.030 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
300. 0.023 0.023 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_302 a_298 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.023..0.023 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
301. 0.020 0.020 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_260 a_299 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.020..0.020 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
302. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_218 a_300 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
303. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_176 a_301 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
304. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_134 a_302 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
305. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_92 a_303 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
306. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_50 a_304 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
307. 0.016 0.016 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_8 a_305 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.016..0.016 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
308. 0.016 0.016 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1395 a_306 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.016 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
309. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1353 a_307 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
310. 0.032 0.032 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1311 a_308 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.031..0.032 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
311. 0.016 0.016 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1269 a_309 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.016..0.016 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
312. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1227 a_310 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
313. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1185 a_311 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
314. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1143 a_312 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
315. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1101 a_313 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
316. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1059 a_314 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.013..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
317. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1017 a_315 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
318. 5.444 5.444 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_975 a_316 (cost=10,000,000,000.00..10,000,000,273.60 rows=1 width=22) (actual time=5.444..5.444 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 1080
319. 3.445 3.445 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_933 a_317 (cost=10,000,000,000.00..10,000,000,080.30 rows=1 width=23) (actual time=3.445..3.445 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 315
320. 1.393 1.393 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_891 a_318 (cost=10,000,000,000.00..10,000,000,052.44 rows=1 width=27) (actual time=1.393..1.393 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 202
321. 3.555 3.555 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_849 a_319 (cost=10,000,000,000.00..10,000,000,159.60 rows=1 width=22) (actual time=3.555..3.555 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 630
322. 1.869 1.869 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_807 a_320 (cost=10,000,000,000.00..10,000,000,020.94 rows=1 width=22) (actual time=1.869..1.869 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 77
323. 1.753 1.753 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_765 a_321 (cost=10,000,000,000.00..10,000,000,032.84 rows=1 width=23) (actual time=1.753..1.753 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 122
324. 0.026 0.026 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_723 a_322 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.026..0.026 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
325. 0.016 0.016 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_681 a_323 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.016..0.016 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
326. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_639 a_324 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
327. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_597 a_325 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
328. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_555 a_326 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
329. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_513 a_327 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
330. 2.184 2.184 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_471 a_328 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=2.184..2.184 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 23
331. 0.026 0.026 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_429 a_329 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.026..0.026 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
332. 2.497 2.497 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_387 a_330 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=2.497..2.497 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 42
333. 0.996 0.996 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_345 a_331 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.996..0.996 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 18
334. 0.032 0.032 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_303 a_332 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.032..0.032 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
335. 0.024 0.024 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_261 a_333 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.024..0.024 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
336. 0.016 0.016 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_219 a_334 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.016..0.016 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
337. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_177 a_335 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
338. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_135 a_336 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
339. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_93 a_337 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
340. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_51 a_338 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
341. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_9 a_339 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
342. 0.016 0.016 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1396 a_340 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.016..0.016 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
343. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1354 a_341 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
344. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1312 a_342 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
345. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1270 a_343 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
346. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1228 a_344 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
347. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1186 a_345 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
348. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1144 a_346 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
349. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1102 a_347 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
350. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1060 a_348 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
351. 0.016 0.016 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1018 a_349 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.016..0.016 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
352. 2.441 2.441 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_976 a_350 (cost=10,000,000,000.00..10,000,000,069.22 rows=1 width=19) (actual time=2.441..2.441 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 251
353. 0.923 0.923 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_934 a_351 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.923..0.923 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 32
354. 0.573 0.573 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_892 a_352 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.573..0.573 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 3
355. 1.155 1.155 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_850 a_353 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=1.155..1.155 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 27
356. 0.025 0.025 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_808 a_354 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.025..0.025 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
357. 0.944 0.944 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_766 a_355 (cost=10,000,000,000.00..10,000,000,016.64 rows=1 width=24) (actual time=0.944..0.944 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 62
358. 0.537 0.537 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_724 a_356 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.537..0.537 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 24
359. 0.023 0.023 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_682 a_357 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.023..0.023 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
360. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_640 a_358 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
361. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_598 a_359 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
362. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_556 a_360 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
363. 0.019 0.019 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_514 a_361 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.019..0.019 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
364. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_472 a_362 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
365. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_430 a_363 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
366. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_388 a_364 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
367. 0.490 0.490 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_346 a_365 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.490..0.490 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 31
368. 1.765 1.765 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_304 a_366 (cost=10,000,000,000.00..10,000,000,057.82 rows=1 width=19) (actual time=1.765..1.765 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 231
369. 0.024 0.024 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_262 a_367 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.024..0.024 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
370. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_220 a_368 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
371. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_178 a_369 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
372. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_136 a_370 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
373. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_94 a_371 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
374. 0.031 0.031 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_52 a_372 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.031..0.031 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
375. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_10 a_373 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
376. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1397 a_374 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
377. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1355 a_375 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
378. 0.023 0.023 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1313 a_376 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.023..0.023 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
379. 0.016 0.016 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1271 a_377 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.016..0.016 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
380. 0.013 0.013 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1229 a_378 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.013..0.013 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
381. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1187 a_379 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
382. 0.013 0.013 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1145 a_380 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.013..0.013 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
383. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1103 a_381 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
384. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1061 a_382 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
385. 0.013 0.013 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1019 a_383 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.013..0.013 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
386. 0.575 0.575 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_977 a_384 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.575..0.575 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 17
387. 0.532 0.532 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_935 a_385 (cost=10,000,000,000.00..10,000,000,014.98 rows=1 width=17) (actual time=0.532..0.532 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 59
388. 1.141 1.141 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_893 a_386 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=1.141..1.141 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 22
389. 0.022 0.022 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_851 a_387 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.022..0.022 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
390. 0.026 0.026 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_809 a_388 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.026..0.026 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
391. 0.019 0.019 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_767 a_389 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.019..0.019 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
392. 0.566 0.566 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_725 a_390 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.566..0.566 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 23
393. 0.022 0.022 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_683 a_391 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.022..0.022 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
394. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_641 a_392 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
395. 0.020 0.020 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_599 a_393 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.020..0.020 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
396. 0.024 0.024 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_557 a_394 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.024..0.024 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
397. 0.020 0.020 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_515 a_395 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.019..0.020 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
398. 0.019 0.019 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_473 a_396 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.019..0.019 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
399. 0.016 0.016 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_431 a_397 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.016..0.016 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
400. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_389 a_398 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
401. 1.359 1.359 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_347 a_399 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=1.359..1.359 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 16
402. 1.467 1.467 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_305 a_400 (cost=10,000,000,000.00..10,000,000,040.22 rows=1 width=23) (actual time=1.467..1.467 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 151
403. 0.023 0.023 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_263 a_401 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.023..0.023 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
404. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_221 a_402 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
405. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_179 a_403 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
406. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_137 a_404 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
407. 0.022 0.022 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_95 a_405 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.022..0.022 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
408. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_53 a_406 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
409. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_11 a_407 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.013..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
410. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1398 a_408 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.013..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
411. 0.013 0.013 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1356 a_409 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.013..0.013 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
412. 0.013 0.013 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1314 a_410 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.013..0.013 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
413. 0.013 0.013 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1272 a_411 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.013..0.013 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
414. 0.013 0.013 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1230 a_412 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.013..0.013 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
415. 0.017 0.017 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1188 a_413 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.017..0.017 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
416. 0.013 0.013 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1146 a_414 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.013..0.013 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
417. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1104 a_415 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
418. 0.013 0.013 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1062 a_416 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.013..0.013 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
419. 0.026 0.026 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1020 a_417 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.026..0.026 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
420. 0.021 0.021 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_978 a_418 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.021..0.021 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
421. 0.564 0.564 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_936 a_419 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.564..0.564 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 35
422. 0.981 0.981 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_894 a_420 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.981..0.981 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 17
423. 0.021 0.021 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_852 a_421 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.021..0.021 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
424. 0.020 0.020 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_810 a_422 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.020..0.020 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
425. 0.020 0.020 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_768 a_423 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.020..0.020 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
426. 0.863 0.863 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_726 a_424 (cost=10,000,000,000.00..10,000,000,019.50 rows=1 width=25) (actual time=0.863..0.863 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 75
427. 0.022 0.022 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_684 a_425 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.022..0.022 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
428. 0.013 0.013 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_642 a_426 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.013..0.013 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
429. 0.013 0.013 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_600 a_427 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.013..0.013 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
430. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_558 a_428 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
431. 0.013 0.013 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_516 a_429 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.013..0.013 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
432. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_474 a_430 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.013..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
433. 0.013 0.013 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_432 a_431 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.013..0.013 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
434. 0.012 0.012 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_390 a_432 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.012..0.012 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
435. 0.500 0.500 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_348 a_433 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.500..0.500 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 4
436. 1.622 1.622 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_306 a_434 (cost=10,000,000,000.00..10,000,000,034.64 rows=1 width=24) (actual time=1.622..1.622 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 112
437. 0.022 0.022 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_264 a_435 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.022..0.022 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
438. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_222 a_436 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
439. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_180 a_437 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
440. 0.013 0.013 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_138 a_438 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.013..0.013 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
441. 0.013 0.013 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_96 a_439 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.013..0.013 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 1369
442. 4.730 4.730 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_949 a_861 (cost=10,000,000,000.00..10,000,000,220.84 rows=1 width=20) (actual time=4.730..4.730 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 872
443. 1.495 1.495 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_907 a_862 (cost=10,000,000,000.00..10,000,000,021.60 rows=1 width=19) (actual time=1.495..1.495 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 80
444. 0.681 0.681 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_865 a_863 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.681..0.681 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 32
445. 1.003 1.003 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_823 a_864 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=1.003..1.003 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 44
446. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_781 a_865 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
447. 0.011 0.011 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_739 a_866 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.011..0.011 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
448. 0.010 0.010 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_697 a_867 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.010..0.010 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
449. 0.011 0.011 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_655 a_868 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.011..0.011 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
450. 0.011 0.011 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_613 a_869 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.011..0.011 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
451. 0.266 0.266 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_571 a_870 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.266..0.266 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
452. 0.530 0.530 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_529 a_871 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.530..0.530 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 49
453. 0.484 0.484 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_487 a_872 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.484..0.484 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 13
454. 1.067 1.067 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_445 a_873 (cost=10,000,000,000.00..10,000,000,019.18 rows=1 width=20) (actual time=1.067..1.067 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 69
455. 0.503 0.503 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_403 a_874 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.503..0.503 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 34
456. 0.433 0.433 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_361 a_875 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.433..0.433 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 3
457. 0.483 0.483 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_319 a_876 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.483..0.483 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 26
458. 0.520 0.520 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_277 a_877 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.520..0.520 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 19
459. 0.017 0.017 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_235 a_878 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.017..0.017 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
460. 0.010 0.010 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_193 a_879 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.010..0.010 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
461. 0.017 0.017 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_151 a_880 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.017..0.017 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
462. 0.401 0.401 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_109 a_881 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.401..0.401 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
463. 0.016 0.016 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_67 a_882 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.016..0.016 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
464. 0.010 0.010 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_25 a_883 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.010..0.010 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
465. 0.011 0.011 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1412 a_884 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.011..0.011 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
466. 0.016 0.016 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1370 a_885 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.016..0.016 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
467. 0.016 0.016 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1328 a_886 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.016..0.016 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
468. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1286 a_887 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
469. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1244 a_888 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
470. 0.011 0.011 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1202 a_889 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.011..0.011 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
471. 0.010 0.010 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1160 a_890 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.010..0.010 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
472. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1118 a_891 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
473. 21.168 21.168 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1076 a_892 (cost=10,000,000,000.00..10,000,002,210.62 rows=1 width=21) (actual time=21.168..21.168 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 9021
474. 34.811 34.811 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1034 a_893 (cost=10,000,000,000.00..10,000,006,081.26 rows=1 width=20) (actual time=34.811..34.811 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 24983
475. 8.104 8.104 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_992 a_894 (cost=10,000,000,000.00..10,000,001,525.58 rows=1 width=20) (actual time=8.104..8.104 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 6139
476. 7.876 7.876 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_950 a_895 (cost=10,000,000,000.00..10,000,000,560.10 rows=1 width=21) (actual time=7.876..7.876 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 2205
477. 3.795 3.795 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_908 a_896 (cost=10,000,000,000.00..10,000,000,115.96 rows=1 width=24) (actual time=3.795..3.795 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 418
478. 1.576 1.576 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_866 a_897 (cost=10,000,000,000.00..10,000,000,051.50 rows=1 width=22) (actual time=1.576..1.576 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 175
479. 0.504 0.504 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_824 a_898 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.504..0.504 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 43
480. 0.494 0.494 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_782 a_899 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.494..0.494 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 41
481. 0.515 0.515 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_740 a_900 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.515..0.515 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 37
482. 0.417 0.417 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_698 a_901 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.417..0.417 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 3
483. 0.435 0.435 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_656 a_902 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.435..0.435 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 4
484. 0.486 0.486 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_614 a_903 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.486..0.486 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 7
485. 1.012 1.012 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_572 a_904 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=1.012..1.012 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 38
486. 0.993 0.993 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_530 a_905 (cost=10,000,000,000.00..10,000,000,018.96 rows=1 width=21) (actual time=0.993..0.993 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 68
487. 1.021 1.021 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_488 a_906 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=1.021..1.021 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 48
488. 1.073 1.073 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_446 a_907 (cost=10,000,000,000.00..10,000,000,016.86 rows=1 width=21) (actual time=1.073..1.073 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 63
489. 1.458 1.458 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_404 a_908 (cost=10,000,000,000.00..10,000,000,045.52 rows=1 width=25) (actual time=1.458..1.458 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 166
490. 0.964 0.964 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_362 a_909 (cost=10,000,000,000.00..10,000,000,017.86 rows=1 width=23) (actual time=0.964..0.964 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 63
491. 1.072 1.072 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_320 a_910 (cost=10,000,000,000.00..10,000,000,017.76 rows=1 width=38) (actual time=1.072..1.072 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 58
492. 0.512 0.512 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_278 a_911 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.512..0.512 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 9
493. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_236 a_912 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
494. 0.011 0.011 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_194 a_913 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.011..0.011 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
495. 0.011 0.011 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_152 a_914 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.011..0.011 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
496. 0.011 0.011 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_110 a_915 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.011..0.011 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
497. 0.010 0.010 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_68 a_916 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.010..0.010 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
498. 0.010 0.010 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_26 a_917 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.010..0.010 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
499. 0.010 0.010 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1413 a_918 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.010..0.010 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
500. 0.011 0.011 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1371 a_919 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.011..0.011 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
501. 0.011 0.011 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1329 a_920 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.011..0.011 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
502. 0.018 0.018 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1287 a_921 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.018..0.018 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
503. 0.010 0.010 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1245 a_922 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.010..0.010 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
504. 0.010 0.010 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1203 a_923 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.010..0.010 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
505. 1.820 1.820 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1161 a_924 (cost=10,000,000,000.00..10,000,000,066.42 rows=1 width=23) (actual time=1.820..1.820 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 261
506. 1.932 1.932 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1119 a_925 (cost=10,000,000,000.00..10,000,000,110.92 rows=1 width=20) (actual time=1.932..1.932 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 436
507. 6.329 6.329 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1077 a_926 (cost=10,000,000,000.00..10,000,000,973.74 rows=1 width=20) (actual time=6.329..6.329 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 3917
508. 6.939 6.939 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1035 a_927 (cost=10,000,000,000.00..10,000,001,211.84 rows=1 width=20) (actual time=6.939..6.939 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 4872
509. 2.496 2.496 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_993 a_928 (cost=10,000,000,000.00..10,000,000,116.40 rows=1 width=21) (actual time=2.496..2.496 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 420
510. 1.885 1.885 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_951 a_929 (cost=10,000,000,000.00..10,000,000,091.68 rows=1 width=20) (actual time=1.885..1.885 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 344
511. 1.031 1.031 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_909 a_930 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=1.031..1.031 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 39
512. 1.412 1.412 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_867 a_931 (cost=10,000,000,000.00..10,000,000,023.82 rows=1 width=22) (actual time=1.412..1.412 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 81
513. 0.582 0.582 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_825 a_932 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.582..0.582 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 34
514. 0.032 0.032 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_783 a_933 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.032..0.032 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
515. 1.041 1.041 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_741 a_934 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=1.041..1.041 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 52
516. 0.923 0.923 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_699 a_935 (cost=10,000,000,000.00..10,000,000,016.98 rows=1 width=28) (actual time=0.923..0.923 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 59
517. 1.154 1.154 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_657 a_936 (cost=10,000,000,000.00..10,000,000,036.24 rows=1 width=30) (actual time=1.154..1.154 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 142
518. 1.017 1.017 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_615 a_937 (cost=10,000,000,000.00..10,000,000,026.44 rows=1 width=31) (actual time=1.017..1.017 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 102
519. 0.933 0.933 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_573 a_938 (cost=10,000,000,000.00..10,000,000,014.88 rows=1 width=30) (actual time=0.933..0.933 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 54
520. 1.066 1.066 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_531 a_939 (cost=10,000,000,000.00..10,000,000,025.78 rows=1 width=26) (actual time=1.066..1.066 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 99
521. 1.116 1.116 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_489 a_940 (cost=10,000,000,000.00..10,000,000,034.16 rows=1 width=30) (actual time=1.116..1.116 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 128
522. 2.284 2.284 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_447 a_941 (cost=10,000,000,000.00..10,000,000,202.32 rows=1 width=20) (actual time=2.284..2.284 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 806
523. 1.333 1.333 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_405 a_942 (cost=10,000,000,000.00..10,000,000,021.96 rows=1 width=21) (actual time=1.333..1.333 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 68
524. 103.495 103.495 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_363 a_943 (cost=10,000,000,000.00..10,000,000,037.36 rows=1 width=29) (actual time=103.495..103.495 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 138
525. 122.736 122.736 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_321 a_944 (cost=10,000,000,000.00..10,000,000,019.94 rows=1 width=30) (actual time=122.736..122.736 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 77
526. 0.063 0.063 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_279 a_945 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.063..0.063 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
527. 0.028 0.028 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_237 a_946 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.028..0.028 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
528. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_195 a_947 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
529. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_153 a_948 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
530. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_111 a_949 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
531. 0.024 0.024 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_69 a_950 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.024..0.024 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
532. 0.019 0.019 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_27 a_951 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.019..0.019 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
533. 0.017 0.017 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1414 a_952 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.017..0.017 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
534. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1372 a_953 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
535. 0.016 0.016 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1330 a_954 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.016..0.016 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
536. 0.017 0.017 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1288 a_955 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.017..0.017 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
537. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1246 a_956 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
538. 1.588 1.588 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1204 a_957 (cost=10,000,000,000.00..10,000,000,056.94 rows=1 width=21) (actual time=1.587..1.588 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 227
539. 12.193 12.193 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1162 a_958 (cost=10,000,000,000.00..10,000,001,303.66 rows=1 width=21) (actual time=12.193..12.193 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 5253
540. 9.431 9.431 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1120 a_959 (cost=10,000,000,000.00..10,000,000,858.70 rows=1 width=20) (actual time=9.431..9.431 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 3435
541. 5.422 5.422 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1078 a_960 (cost=10,000,000,000.00..10,000,000,433.90 rows=1 width=20) (actual time=5.422..5.422 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 1695
542. 11.728 11.728 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1036 a_961 (cost=10,000,000,000.00..10,000,001,019.32 rows=1 width=19) (actual time=11.728..11.728 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 4106
543. 1.434 1.434 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_994 a_962 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=1.434..1.434 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 38
544. 2.350 2.350 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_952 a_963 (cost=10,000,000,000.00..10,000,000,057.96 rows=1 width=20) (actual time=2.350..2.350 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 218
545. 0.574 0.574 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_910 a_964 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.574..0.574 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 29
546. 4.512 4.512 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_868 a_965 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=4.512..4.512 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 3
547. 1.172 1.172 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_826 a_966 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=1.172..1.172 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 6
548. 4.039 4.039 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_784 a_967 (cost=10,000,000,000.00..10,000,000,027.22 rows=1 width=22) (actual time=4.038..4.039 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 101
549. 1.840 1.840 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_742 a_968 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=1.840..1.840 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 28
550. 3.858 3.858 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_700 a_969 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=3.858..3.858 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 25
551. 1.483 1.483 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_658 a_970 (cost=10,000,000,000.00..10,000,000,020.06 rows=1 width=33) (actual time=1.483..1.483 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 73
552. 1.717 1.717 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_616 a_971 (cost=10,000,000,000.00..10,000,000,017.64 rows=1 width=35) (actual time=1.717..1.717 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 62
553. 2.192 2.192 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_574 a_972 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=2.192..2.192 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 67
554. 2.591 2.591 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_532 a_973 (cost=10,000,000,000.00..10,000,000,028.32 rows=1 width=26) (actual time=2.591..2.591 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 106
555. 1.922 1.922 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_490 a_974 (cost=10,000,000,000.00..10,000,000,034.50 rows=1 width=26) (actual time=1.922..1.922 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 125
556. 2.953 2.953 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_448 a_975 (cost=10,000,000,000.00..10,000,000,166.44 rows=1 width=24) (actual time=2.953..2.953 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 652
557. 1.250 1.250 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_406 a_976 (cost=10,000,000,000.00..10,000,000,046.72 rows=1 width=29) (actual time=1.250..1.250 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 176
558. 2.371 2.371 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_364 a_977 (cost=10,000,000,000.00..10,000,000,032.18 rows=1 width=29) (actual time=2.371..2.371 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 119
559. 2.178 2.178 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_322 a_978 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=2.178..2.178 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 41
560. 0.026 0.026 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_280 a_979 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.026..0.026 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
561. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_238 a_980 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
562. 0.017 0.017 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_196 a_981 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.017..0.017 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
563. 0.026 0.026 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_154 a_982 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.026..0.026 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
564. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_112 a_983 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
565. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_70 a_984 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
566. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_28 a_985 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
567. 0.022 0.022 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1415 a_986 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.022..0.022 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
568. 0.021 0.021 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1373 a_987 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.021..0.021 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
569. 0.015 0.015 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1331 a_988 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.015..0.015 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
570. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1289 a_989 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
571. 0.014 0.014 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1247 a_990 (cost=10,000,000,000.00..10,000,000,021.00 rows=1 width=226) (actual time=0.014..0.014 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
572. 4.084 4.084 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1205 a_991 (cost=10,000,000,000.00..10,000,000,495.76 rows=1 width=21) (actual time=4.084..4.084 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 2008
573. 9.120 9.120 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1163 a_992 (cost=10,000,000,000.00..10,000,001,221.62 rows=1 width=23) (actual time=9.120..9.120 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 4871
574. 6.687 6.687 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1121 a_993 (cost=10,000,000,000.00..10,000,000,971.86 rows=1 width=22) (actual time=6.687..6.687 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 3863
575. 3.372 3.372 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1079 a_994 (cost=10,000,000,000.00..10,000,000,309.82 rows=1 width=21) (actual time=3.372..3.372 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 1181
576. 3.412 3.412 ↓ 0.0 0 1

Seq Scan on road_network_partitioned2_cell_1037 a_995 (cost=10,000,000,000.00..10,000,000,263.98 rows=1 width=20) (actual time=3.412..3.412 rows=0 loops=1)

  • Filter: (((lon)::double precision >= '152'::double precision) AND ((lon)::double precision <= '154'::double precision) AND ((lat)::double precision >= '-28'::double precision) AND ((lat)::double precision <= '-27'::double precision))
  • Rows Removed by Filter: 1009