explain.depesz.com

PostgreSQL's explain analyze made readable

Result: QnMw

Settings
# exclusive inclusive rows x rows loops node
1. 0.038 27,314.143 ↑ 1.0 1 1

Aggregate (cost=10,249,728.08..10,249,728.09 rows=1 width=32) (actual time=27,314.143..27,314.143 rows=1 loops=1)

2. 0.024 27,314.105 ↑ 305.0 2 1

Subquery Scan on tt (cost=10,249,718.93..10,249,726.55 rows=610 width=2,582) (actual time=27,314.102..27,314.105 rows=2 loops=1)

3. 0.003 27,314.081 ↑ 305.0 2 1

Limit (cost=10,249,718.93..10,249,720.45 rows=610 width=2,566) (actual time=27,314.079..27,314.081 rows=2 loops=1)

4. 0.012 27,314.078 ↑ 305.0 2 1

Sort (cost=10,249,718.93..10,249,720.45 rows=610 width=2,566) (actual time=27,314.078..27,314.078 rows=2 loops=1)

  • Sort Key: t.item_id DESC
  • Sort Method: quicksort Memory: 27kB
5. 0.022 27,314.066 ↑ 305.0 2 1

WindowAgg (cost=259.68..10,249,293.01 rows=610 width=2,566) (actual time=27,314.065..27,314.066 rows=2 loops=1)

6. 46.906 27,314.044 ↑ 305.0 2 1

Subquery Scan on t (cost=259.68..10,249,285.38 rows=610 width=2,558) (actual time=27,313.752..27,314.044 rows=2 loops=1)

  • Filter: (t.customer_id = 1602)
  • Rows Removed by Filter: 310120
7. 1,576.621 27,267.138 ↑ 1.0 310,122 1

WindowAgg (cost=259.68..10,245,408.86 rows=310,122 width=2,558) (actual time=3.990..27,267.138 rows=310,122 loops=1)

8.          

Initplan (for WindowAgg)

9. 0.006 0.006 ↑ 1.0 1 1

Seq Scan on t_object_type ot (cost=0.00..1.11 rows=1 width=4) (actual time=0.005..0.006 rows=1 loops=1)

  • Filter: ((brief)::text = 'ITEM'::text)
  • Rows Removed by Filter: 8
10. 164.322 880.751 ↑ 1.0 310,122 1

Hash Left Join (cost=258.56..17,429.12 rows=310,122 width=1,842) (actual time=3.795..880.751 rows=310,122 loops=1)

  • Hash Cond: (d.doc_type_id = dt.doc_type_id)
11. 165.043 716.422 ↑ 1.0 310,122 1

Hash Left Join (cost=257.47..15,751.44 rows=310,122 width=1,804) (actual time=3.780..716.422 rows=310,122 loops=1)

  • Hash Cond: (tt_1.doc_id = d.doc_id)
12. 165.792 550.861 ↑ 1.0 310,122 1

Hash Left Join (cost=203.57..14,880.07 rows=310,122 width=1,792) (actual time=3.253..550.861 rows=310,122 loops=1)

  • Hash Cond: (i.cat_id = c.cat_id)
13. 245.297 385.052 ↑ 1.0 310,122 1

Hash Left Join (cost=202.50..12,914.90 rows=310,122 width=756) (actual time=3.229..385.052 rows=310,122 loops=1)

  • Hash Cond: (tt_1.item_id = i.item_id)
14. 136.587 136.587 ↑ 1.0 310,122 1

Seq Scan on t_tran tt_1 (cost=0.00..8,448.22 rows=310,122 width=16) (actual time=0.049..136.587 rows=310,122 loops=1)

15. 0.584 3.168 ↑ 1.0 1,582 1

Hash (cost=182.49..182.49 rows=1,601 width=748) (actual time=3.167..3.168 rows=1,582 loops=1)

  • Buckets: 2048 Batches: 1 Memory Usage: 527kB
16. 0.406 2.584 ↑ 1.0 1,582 1

Hash Left Join (cost=53.64..182.49 rows=1,601 width=748) (actual time=0.754..2.584 rows=1,582 loops=1)

  • Hash Cond: (i.item_id = ic.item_id)
17. 0.414 2.153 ↑ 1.0 1,582 1

Hash Left Join (cost=52.57..175.39 rows=1,601 width=330) (actual time=0.722..2.153 rows=1,582 loops=1)

  • Hash Cond: (i.item_id = p.item_id)
18. 0.743 1.053 ↑ 1.0 1,582 1

Hash Left Join (cost=1.02..119.62 rows=1,601 width=325) (actual time=0.023..1.053 rows=1,582 loops=1)

  • Hash Cond: (i.manufacturer_id = m.manufacturer_id)
19. 0.302 0.302 ↑ 1.0 1,582 1

Seq Scan on t_item i (cost=0.00..97.01 rows=1,601 width=297) (actual time=0.006..0.302 rows=1,582 loops=1)

20. 0.003 0.008 ↑ 1.0 1 1

Hash (cost=1.01..1.01 rows=1 width=36) (actual time=0.008..0.008 rows=1 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 9kB
21. 0.005 0.005 ↑ 1.0 1 1

Seq Scan on t_manufacturer m (cost=0.00..1.01 rows=1 width=36) (actual time=0.004..0.005 rows=1 loops=1)

22. 0.319 0.686 ↑ 1.0 1,542 1

Hash (cost=32.28..32.28 rows=1,542 width=13) (actual time=0.686..0.686 rows=1,542 loops=1)

  • Buckets: 2048 Batches: 1 Memory Usage: 89kB
23. 0.367 0.367 ↑ 1.0 1,542 1

Seq Scan on t_pline p (cost=0.00..32.28 rows=1,542 width=13) (actual time=0.007..0.367 rows=1,542 loops=1)

  • Filter: (pl_id = 1)
24. 0.001 0.025 ↑ 1.0 3 1

Hash (cost=1.03..1.03 rows=3 width=426) (actual time=0.025..0.025 rows=3 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 9kB
25. 0.024 0.024 ↑ 1.0 3 1

Seq Scan on t_icode ic (cost=0.00..1.03 rows=3 width=426) (actual time=0.023..0.024 rows=3 loops=1)

26. 0.012 0.017 ↑ 1.0 3 1

Hash (cost=1.03..1.03 rows=3 width=1,036) (actual time=0.017..0.017 rows=3 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 9kB
27. 0.005 0.005 ↑ 1.0 3 1

Seq Scan on t_cat c (cost=0.00..1.03 rows=3 width=1,036) (actual time=0.004..0.005 rows=3 loops=1)

28. 0.194 0.518 ↑ 1.0 1,018 1

Hash (cost=41.18..41.18 rows=1,018 width=28) (actual time=0.518..0.518 rows=1,018 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 60kB
29. 0.324 0.324 ↑ 1.0 1,018 1

Seq Scan on t_doc d (cost=0.00..41.18 rows=1,018 width=28) (actual time=0.004..0.324 rows=1,018 loops=1)

30. 0.004 0.007 ↑ 1.0 4 1

Hash (cost=1.04..1.04 rows=4 width=46) (actual time=0.007..0.007 rows=4 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 9kB
31. 0.003 0.003 ↑ 1.0 4 1

Seq Scan on t_doc_type dt (cost=0.00..1.04 rows=4 width=46) (actual time=0.003..0.003 rows=4 loops=1)

32.          

SubPlan (for WindowAgg)

33. 618.876 5,582.196 ↓ 0.0 0 310,122

Nested Loop (cost=1.90..4.19 rows=1 width=516) (actual time=0.018..0.018 rows=0 loops=310,122)

  • Join Filter: (ip.prop_id = p_1.prop_id)
  • Rows Removed by Join Filter: 1
34. 1,418.732 4,651.830 ↑ 1.0 1 310,122

Hash Join (cost=1.90..3.09 rows=1 width=520) (actual time=0.014..0.015 rows=1 loops=310,122)

  • Hash Cond: (pv.prop_value_id = ip.prop_value_id)
35. 442.000 442.000 ↑ 1.0 13 221,000

Seq Scan on t_prop_value pv (cost=0.00..1.13 rows=13 width=520) (actual time=0.001..0.002 rows=13 loops=221,000)

36. 310.122 2,791.098 ↑ 1.0 1 310,122

Hash (cost=1.89..1.89 rows=1 width=8) (actual time=0.009..0.009 rows=1 loops=310,122)

  • Buckets: 1024 Batches: 1 Memory Usage: 8kB
37. 2,480.976 2,480.976 ↑ 1.0 1 310,122

Seq Scan on t_item_prop ip (cost=0.00..1.89 rows=1 width=8) (actual time=0.006..0.008 rows=1 loops=310,122)

  • Filter: (item_id = i.item_id)
  • Rows Removed by Filter: 72
38. 311.490 311.490 ↑ 1.0 1 311,490

Seq Scan on t_prop p_1 (cost=0.00..1.09 rows=1 width=4) (actual time=0.001..0.001 rows=1 loops=311,490)

  • Filter: ((brief)::text = 'GROUP'::text)
  • Rows Removed by Filter: 5
39. 7,132.806 16,746.588 ↑ 1.0 1 310,122

Aggregate (cost=27.21..27.22 rows=1 width=32) (actual time=0.054..0.054 rows=1 loops=310,122)

40. 620.234 9,613.782 ↓ 1.2 5 310,122

Hash Left Join (cost=3.50..27.19 rows=4 width=1,176) (actual time=0.025..0.031 rows=5 loops=310,122)

  • Hash Cond: (ip_1.prop_value_id = pv_1.prop_value_id)
41. 930.438 8,993.538 ↓ 1.2 5 310,122

Nested Loop Left Join (cost=2.21..25.88 rows=4 width=660) (actual time=0.025..0.029 rows=5 loops=310,122)

  • Join Filter: (ip_1.prop_id = cp.prop_id)
  • Rows Removed by Join Filter: 4
42. 1,240.488 4,961.952 ↓ 1.2 5 310,122

Hash Join (cost=2.21..23.93 rows=4 width=560) (actual time=0.014..0.016 rows=5 loops=310,122)

  • Hash Cond: (pt.prop_type_id = p_2.type)
43. 310.122 310.122 ↑ 141.7 6 310,122

Seq Scan on t_prop_type pt (cost=0.00..18.50 rows=850 width=36) (actual time=0.001..0.001 rows=6 loops=310,122)

44. 930.366 3,411.342 ↓ 5.0 5 310,122

Hash (cost=2.19..2.19 rows=1 width=528) (actual time=0.011..0.011 rows=5 loops=310,122)

  • Buckets: 1024 Batches: 1 Memory Usage: 9kB
45. 930.366 2,480.976 ↓ 5.0 5 310,122

Hash Join (cost=1.09..2.19 rows=1 width=528) (actual time=0.006..0.008 rows=5 loops=310,122)

  • Hash Cond: (p_2.prop_id = cp.prop_id)
46. 310.122 310.122 ↑ 1.0 7 310,122

Seq Scan on t_prop p_2 (cost=0.00..1.07 rows=7 width=524) (actual time=0.001..0.001 rows=7 loops=310,122)

47. 620.244 1,240.488 ↓ 5.0 5 310,122

Hash (cost=1.07..1.07 rows=1 width=4) (actual time=0.004..0.004 rows=5 loops=310,122)

  • Buckets: 1024 Batches: 1 Memory Usage: 9kB
48. 620.244 620.244 ↓ 5.0 5 310,122

Seq Scan on t_cat_prop cp (cost=0.00..1.07 rows=1 width=4) (actual time=0.001..0.002 rows=5 loops=310,122)

  • Filter: (cat_id = i.cat_id)
  • Rows Removed by Filter: 1
49. 620.172 3,101.148 ↑ 1.0 1 1,550,574

Materialize (cost=0.00..1.89 rows=1 width=108) (actual time=0.001..0.002 rows=1 loops=1,550,574)

50. 2,480.976 2,480.976 ↑ 1.0 1 310,122

Seq Scan on t_item_prop ip_1 (cost=0.00..1.89 rows=1 width=108) (actual time=0.006..0.008 rows=1 loops=310,122)

  • Filter: (item_id = i.item_id)
  • Rows Removed by Filter: 72
51. 0.006 0.010 ↑ 1.0 13 1

Hash (cost=1.13..1.13 rows=13 width=520) (actual time=0.010..0.010 rows=13 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 9kB
52. 0.004 0.004 ↑ 1.0 13 1

Seq Scan on t_prop_value pv_1 (cost=0.00..1.13 rows=13 width=520) (actual time=0.002..0.004 rows=13 loops=1)

53. 930.366 2,480.976 ↑ 1.0 1 310,122

Aggregate (cost=1.53..1.54 rows=1 width=32) (actual time=0.008..0.008 rows=1 loops=310,122)

54. 1,550.610 1,550.610 ↑ 1.0 1 310,122

Seq Scan on t_item_image ii (cost=0.00..1.52 rows=1 width=1,040) (actual time=0.004..0.005 rows=1 loops=310,122)

  • Filter: (item_id = i.item_id)
  • Rows Removed by Filter: 43
Planning time : 3.533 ms
Execution time : 27,314.490 ms