# | exclusive | inclusive | rows x | rows | loops | node |
---|---|---|---|---|---|---|
1. | 4,793.112 | 225,609.002 | ↑ 6,462.1 | 766 | 1 |
→
Unique (cost=20,706,568.31..21,380,228.24 rows=4,950,000 width=33) (actual time=202,926.471..225,609.002 rows=766 loops=1) |
2. |
Initplan (forUnique) |
|||||
3. | 0.000 | 913.340 | ↑ 1.0 | 1 | 1 |
→
Finalize Aggregate (cost=144,759.54..144,759.55 rows=1 width=32) (actual time=913.340..913.340 rows=1 loops=1) |
4. | 21.229 | 913.371 | ↓ 1.5 | 3 | 1 |
→
Gather (cost=144,759.33..144,759.54 rows=2 width=32) (actual time=913.027..913.371 rows=3 loops=1)
|
5. | 260.300 | 892.142 | ↑ 1.0 | 1 | 3 |
→
Partial Aggregate (cost=143,759.33..143,759.34 rows=1 width=32) (actual time=892.142..892.142 rows=1 loops=3) |
6. | 631.842 | 631.842 | ↑ 1.2 | 2,000,405 | 3 |
→
Parallel Seq Scan on lineitem lineitem_1 (cost=0.00..137,508.06 rows=2,500,506 width=4) (actual time=0.056..631.842 rows=2,000,405 loops=3) |
7. | 0.000 | 904.803 | ↑ 1.0 | 1 | 1 |
→
Finalize Aggregate (cost=144,759.54..144,759.55 rows=1 width=32) (actual time=904.803..904.803 rows=1 loops=1) |
8. | 21.568 | 904.820 | ↓ 1.5 | 3 | 1 |
→
Gather (cost=144,759.33..144,759.54 rows=2 width=32) (actual time=904.522..904.820 rows=3 loops=1)
|
9. | 271.601 | 883.252 | ↑ 1.0 | 1 | 3 |
→
Partial Aggregate (cost=143,759.33..143,759.34 rows=1 width=32) (actual time=883.252..883.252 rows=1 loops=3) |
10. | 611.651 | 611.651 | ↑ 1.2 | 2,000,405 | 3 |
→
Parallel Seq Scan on lineitem lineitem_2 (cost=0.00..137,508.06 rows=2,500,506 width=4) (actual time=0.055..611.651 rows=2,000,405 loops=3) |
11. | 184,083.185 | 218,997.747 | ↑ 2.9 | 31,413,722 | 1 |
→
Sort (cost=20,417,049.21..20,641,602.52 rows=89,821,324 width=33) (actual time=202,926.468..218,997.747 rows=31,413,722 loops=1)
|
12. | 4,079.824 | 34,914.562 | ↑ 2.9 | 31,413,722 | 1 |
→
Nested Loop (cost=43,537.46..1,183,238.21 rows=89,821,324 width=33) (actual time=2,167.319..34,914.562 rows=31,413,722 loops=1) |
13. | 20.872 | 144.094 | ↑ 1.1 | 40,171 | 1 |
→
Unique (cost=13,069.51..14,180.61 rows=44,444 width=130) (actual time=99.595..144.094 rows=40,171 loops=1) |
14. | 53.664 | 123.222 | ↑ 1.1 | 40,171 | 1 |
→
Sort (cost=13,069.51..13,180.62 rows=44,444 width=130) (actual time=99.594..123.222 rows=40,171 loops=1)
|
15. | 69.558 | 69.558 | ↑ 1.1 | 40,171 | 1 |
→
Seq Scan on part (cost=0.00..6,597.00 rows=44,444 width=130) (actual time=0.090..69.558 rows=40,171 loops=1)
|
16. | 1,288.524 | 30,690.644 | ↑ 2.6 | 782 | 40,171 |
→
Materialize (cost=30,467.95..45,851.66 rows=2,021 width=33) (actual time=0.052..0.764 rows=782 loops=40,171) |
17. | 3.178 | 29,402.120 | ↑ 2.6 | 782 | 1 |
→
Merge Join (cost=30,467.95..45,841.56 rows=2,021 width=33) (actual time=2,067.714..29,402.120 rows=782 loops=1)
|
18. | 9.476 | 29,389.065 | ↑ 10.3 | 782 | 1 |
→
Merge Join (cost=30,367.28..44,012.49 rows=8,043 width=41) (actual time=2,067.680..29,389.065 rows=782 loops=1)
|
19. | 4.467 | 29,112.986 | ↑ 38.1 | 1,593 | 1 |
→
Nested Loop (cost=0.86..551,580.87 rows=60,618 width=12) (actual time=1,818.215..29,112.986 rows=1,593 loops=1) |
20. | 1,880.963 | 1,880.963 | ↑ 38.1 | 1,593 | 1 |
→
Index Scan using lineitem_pkey on lineitem (cost=0.43..446,017.86 rows=60,618 width=20) (actual time=1,818.186..1,880.963 rows=1,593 loops=1)
|
21. | 27,227.556 | 27,227.556 | ↑ 1.0 | 1 | 1,593 |
→
Index Only Scan using partsupp_pkey on partsupp (cost=0.42..1.74 rows=1 width=8) (actual time=17.092..17.092 rows=1 loops=1,593)
|
22. | 85.681 | 266.603 | ↓ 1.5 | 74,782 | 1 |
→
Sort (cost=30,365.31..30,490.31 rows=50,000 width=29) (actual time=249.458..266.603 rows=74,782 loops=1)
|
23. | 9.601 | 180.922 | ↓ 1.5 | 74,766 | 1 |
→
Subquery Scan on top_customers (cost=25,837.90..26,462.90 rows=50,000 width=29) (actual time=156.593..180.922 rows=74,766 loops=1) |
24. | 39.181 | 171.321 | ↓ 1.5 | 74,766 | 1 |
→
Sort (cost=25,837.90..25,962.90 rows=50,000 width=491) (actual time=156.589..171.321 rows=74,766 loops=1)
|
25. |
Initplan (forSort) |
|||||
26. | 0.000 | 39.368 | ↑ 1.0 | 1 | 1 |
→
Finalize Aggregate (cost=5,366.47..5,366.48 rows=1 width=32) (actual time=39.368..39.368 rows=1 loops=1) |
27. | 20.878 | 39.373 | ↓ 1.5 | 3 | 1 |
→
Gather (cost=5,366.25..5,366.46 rows=2 width=32) (actual time=39.070..39.373 rows=3 loops=1)
|
28. | 7.673 | 18.495 | ↑ 1.0 | 1 | 3 |
→
Partial Aggregate (cost=4,366.25..4,366.26 rows=1 width=32) (actual time=18.494..18.495 rows=1 loops=3) |
29. | 10.822 | 10.822 | ↑ 1.2 | 50,000 | 3 |
→
Parallel Seq Scan on customer customer_1 (cost=0.00..4,210.00 rows=62,500 width=6) (actual time=0.014..10.822 rows=50,000 loops=3) |
30. | 92.772 | 92.772 | ↓ 1.5 | 74,766 | 1 |
→
Seq Scan on customer (cost=0.00..5,460.00 rows=50,000 width=491) (actual time=39.396..92.772 rows=74,766 loops=1)
|
31. | 9.877 | 9.877 | ↑ 40.1 | 37,382 | 1 |
→
Index Only Scan using orders_pkey on orders (cost=0.43..65,062.43 rows=1,500,000 width=4) (actual time=0.029..9.877 rows=37,382 loops=1)
|