explain.depesz.com

PostgreSQL's explain analyze made readable

Result: SAvi

Settings
# exclusive inclusive rows x rows loops node
1. 0.617 522.168 ↓ 22.8 2,280 1

Hash Right Join (cost=118,395.63..118,401.63 rows=100 width=612) (actual time=518.667..522.168 rows=2,280 loops=1)

  • Hash Cond: (fn.feature_id = f.id)
2.          

CTE features

3. 0.000 9.501 ↓ 22.8 2,280 1

Nested Loop (cost=2.18..791.51 rows=100 width=55) (actual time=0.447..9.501 rows=2,280 loops=1)

4. 0.527 0.674 ↓ 22.8 2,280 1

HashAggregate (cost=1.76..2.76 rows=100 width=4) (actual time=0.435..0.674 rows=2,280 loops=1)

  • Group Key: unnest('{19173,29268,29272,29274,29276,29284,29288,29290,29292,29293,29294,29295,29296,29297,29298,29300,29306,29314,29319,29327,29332,29334,29336,29338,29340,29342,29345,29348,29352,29355,29361,29363,29366,29368,29370,29372,2937 (...)
5. 0.147 0.147 ↓ 22.8 2,280 1

Result (cost=0.00..0.51 rows=100 width=0) (actual time=0.003..0.147 rows=2,280 loops=1)

6. 9.120 9.120 ↑ 1.0 1 2,280

Index Scan using feature_pkey on feature f_1 (cost=0.42..7.88 rows=1 width=55) (actual time=0.004..0.004 rows=1 loops=2,280)

  • Index Cond: (id = (unnest('{19173,29268,29272,29274,29276,29284,29288,29290,29292,29293,29294,29295,29296,29297,29298,29300,29306,29314,29319,29327,29332,29334,29336,29338,29340,29342,29345,29348,29352,29355,29361,29363,29366,29368,29370,29 (...)
7.          

CTE data_class_rule

8. 0.715 1.478 ↑ 117.0 2 1

Recursive Union (cost=3.25..524.70 rows=234 width=20) (actual time=0.393..1.478 rows=2 loops=1)

9. 0.362 0.754 ↓ 29.6 4,560 1

Hash Right Join (cost=3.25..9.25 rows=154 width=16) (actual time=0.390..0.754 rows=4,560 loops=1)

  • Hash Cond: (nr.data_class_id = f_2.data_class_id)
10. 0.015 0.015 ↑ 1.0 179 1

Seq Scan on name_rule nr (cost=0.00..3.79 rows=179 width=16) (actual time=0.004..0.015 rows=179 loops=1)

11. 0.183 0.377 ↓ 22.8 2,280 1

Hash (cost=2.00..2.00 rows=100 width=4) (actual time=0.377..0.377 rows=2,280 loops=1)

  • Buckets: 4096 (originally 1024) Batches: 1 (originally 1) Memory Usage: 113kB
12. 0.194 0.194 ↓ 22.8 2,280 1

CTE Scan on features f_2 (cost=0.00..2.00 rows=100 width=4) (actual time=0.001..0.194 rows=2,280 loops=1)

13. 0.001 0.009 ↓ 0.0 0 1

Nested Loop Left Join (cost=31.05..51.08 rows=8 width=20) (actual time=0.009..0.009 rows=0 loops=1)

14. 0.003 0.008 ↓ 0.0 0 1

Hash Join (cost=30.90..49.31 rows=8 width=8) (actual time=0.008..0.008 rows=0 loops=1)

  • Hash Cond: (dc.id = dcr.data_class_id)
15. 0.004 0.004 ↑ 751.0 1 1

Seq Scan on data_class dc (cost=0.00..15.51 rows=751 width=8) (actual time=0.004..0.004 rows=1 loops=1)

16. 0.000 0.001 ↓ 0.0 0 1

Hash (cost=30.80..30.80 rows=8 width=8) (actual time=0.001..0.001 rows=0 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 8kB
17. 0.001 0.001 ↓ 0.0 0 1

WorkTable Scan on data_class_rule dcr (cost=0.00..30.80 rows=8 width=8) (actual time=0.001..0.001 rows=0 loops=1)

  • Filter: (priority IS NULL)
  • Rows Removed by Filter: 2
18. 0.000 0.000 ↓ 0.0 0

Index Scan using name_rule_data_class_id_priority_key on name_rule nr_1 (cost=0.14..0.20 rows=2 width=16) (never executed)

  • Index Cond: (data_class_id = dc.base_id)
19.          

CTE name_rule

20. 1.480 1.480 ↑ 116.5 2 1

CTE Scan on data_class_rule (cost=0.00..4.68 rows=233 width=476) (actual time=0.394..1.480 rows=2 loops=1)

  • Filter: (priority IS NOT NULL)
21.          

CTE snapshot_values

22. 130.213 130.213 ↓ 12.4 12,415 1

Function Scan on d_get_features_snapshot_values snv (cost=0.25..10.25 rows=1,000 width=8) (actual time=129.669..130.213 rows=12,415 loops=1)

23.          

CTE values

24. 16.232 230.196 ↑ 1.6 47,777 1

Nested Loop (cost=9.07..87,289.55 rows=78,239 width=59) (actual time=129.701..230.196 rows=47,777 loops=1)

25. 4.382 172.412 ↑ 1.8 41,552 1

Nested Loop (cost=8.65..45,635.71 rows=73,473 width=12) (actual time=129.691..172.412 rows=41,552 loops=1)

26. 130.785 130.785 ↓ 12.4 12,415 1

CTE Scan on snapshot_values snv_1 (cost=0.00..20.00 rows=1,000 width=8) (actual time=129.670..130.785 rows=12,415 loops=1)

27. 12.415 37.245 ↑ 24.3 3 12,415

Bitmap Heap Scan on value v (cost=8.65..44.89 rows=73 width=8) (actual time=0.002..0.003 rows=3 loops=12,415)

  • Recheck Cond: ((id = snv_1.id) OR (top = snv_1.id))
  • Heap Blocks: exact=12657
28. 0.000 24.830 ↓ 0.0 0 12,415

BitmapOr (cost=8.65..8.65 rows=73 width=0) (actual time=0.002..0.002 rows=0 loops=12,415)

29. 12.415 12.415 ↑ 1.0 1 12,415

Bitmap Index Scan on value_pkey (cost=0.00..4.04 rows=1 width=0) (actual time=0.001..0.001 rows=1 loops=12,415)

  • Index Cond: (id = snv_1.id)
30. 12.415 12.415 ↑ 36.0 2 12,415

Bitmap Index Scan on value_top_idx (cost=0.00..4.57 rows=72 width=0) (actual time=0.001..0.001 rows=2 loops=12,415)

  • Index Cond: (top = snv_1.id)
31. 41.552 41.552 ↑ 1.0 1 41,552

Index Scan using simple_value_value_id_idx on simple_value sv (cost=0.43..0.56 rows=1 width=51) (actual time=0.001..0.001 rows=1 loops=41,552)

  • Index Cond: (value_id = v.id)
32.          

CTE translated_prop_value

33. 0.065 25.040 ↓ 462.0 462 1

Unique (cost=282.76..282.78 rows=1 width=14) (actual time=24.960..25.040 rows=462 loops=1)

34. 0.118 24.975 ↓ 462.0 462 1

Sort (cost=282.76..282.77 rows=1 width=14) (actual time=24.960..24.975 rows=462 loops=1)

  • Sort Key: snv_2.feature_id, ((prop_name.value)::ltree), prop_translation.value
  • Sort Method: quicksort Memory: 69kB
35. 0.964 24.857 ↓ 462.0 462 1

Nested Loop (cost=252.99..282.75 rows=1 width=14) (actual time=6.154..24.857 rows=462 loops=1)

  • Join Filter: (prop_translation_lang.value = (lang.let2)::text)
  • Rows Removed by Join Filter: 594
36. 0.657 23.893 ↓ 1,056.0 1,056 1

Nested Loop (cost=252.99..281.71 rows=1 width=19) (actual time=6.143..23.893 rows=1,056 loops=1)

  • Join Filter: (prop_translation.value_id = prop_translation_lang.value_id)
37. 1.217 22.180 ↓ 1,056.0 1,056 1

Nested Loop (cost=252.56..281.14 rows=1 width=22) (actual time=6.138..22.180 rows=1,056 loops=1)

38. 0.214 17.659 ↓ 3,304.0 3,304 1

Nested Loop (cost=252.13..280.57 rows=1 width=13) (actual time=6.129..17.659 rows=3,304 loops=1)

  • Join Filter: (annots.value_id = prop_translation_v.top)
39. 0.882 16.253 ↓ 596.0 596 1

Nested Loop (cost=251.71..277.95 rows=1 width=25) (actual time=6.125..16.253 rows=596 loops=1)

40. 0.432 12.067 ↓ 3,304.0 3,304 1

Nested Loop (cost=251.28..277.38 rows=1 width=24) (actual time=6.121..12.067 rows=3,304 loops=1)

  • Join Filter: (annots.value_id = prop_name_v.top)
41. 0.153 10.443 ↓ 596.0 596 1

Nested Loop (cost=250.85..274.76 rows=1 width=16) (actual time=6.115..10.443 rows=596 loops=1)

  • Join Filter: (snv_2.id = annots.value_id)
42. 1.073 9.098 ↓ 596.0 596 1

Hash Join (cost=250.42..274.18 rows=1 width=12) (actual time=6.101..9.098 rows=596 loops=1)

  • Hash Cond: (snv_2.id = prop_purpose_v.top)
43. 1.933 1.933 ↓ 12.4 12,415 1

CTE Scan on snapshot_values snv_2 (cost=0.00..20.00 rows=1,000 width=8) (actual time=0.000..1.933 rows=12,415 loops=1)

44. 0.185 6.092 ↓ 596.3 1,789 1

Hash (cost=250.39..250.39 rows=3 width=4) (actual time=6.092..6.092 rows=1,789 loops=1)

  • Buckets: 2048 (originally 1024) Batches: 1 (originally 1) Memory Usage: 79kB
45. 0.245 5.907 ↓ 596.3 1,789 1

Nested Loop (cost=213.48..250.39 rows=3 width=4) (actual time=0.654..5.907 rows=1,789 loops=1)

46. 1.527 2.084 ↓ 596.3 1,789 1

Bitmap Heap Scan on simple_value prop_purpose (cost=213.05..225.02 rows=3 width=4) (actual time=0.648..2.084 rows=1,789 loops=1)

  • Recheck Cond: ((value = 'OTHER:TRANSLATION'::text) AND (short_xpath = 'annotation.purpose'::ltree))
  • Heap Blocks: exact=1045
47. 0.071 0.557 ↓ 0.0 0 1

BitmapAnd (cost=213.05..213.05 rows=3 width=0) (actual time=0.557..0.557 rows=0 loops=1)

48. 0.203 0.203 ↑ 1.1 2,923 1

Bitmap Index Scan on simple_value_value_idx (cost=0.00..95.80 rows=3,173 width=0) (actual time=0.203..0.203 rows=2,923 loops=1)

  • Index Cond: (value = 'OTHER:TRANSLATION'::text)
49. 0.283 0.283 ↓ 1.2 1,989 1

Bitmap Index Scan on simple_value_short_xpath_idx (cost=0.00..117.00 rows=1,679 width=0) (actual time=0.283..0.283 rows=1,989 loops=1)

  • Index Cond: (short_xpath = 'annotation.purpose'::ltree)
50. 3.578 3.578 ↑ 1.0 1 1,789

Index Scan using value_pkey on value prop_purpose_v (cost=0.43..8.45 rows=1 width=8) (actual time=0.002..0.002 rows=1 loops=1,789)

  • Index Cond: (id = prop_purpose.value_id)
51. 1.192 1.192 ↑ 1.0 1 596

Index Scan using simple_value_value_id_idx on simple_value annots (cost=0.43..0.56 rows=1 width=4) (actual time=0.002..0.002 rows=1 loops=596)

  • Index Cond: (value_id = prop_purpose_v.top)
  • Filter: (short_xpath = 'annotation'::ltree)
52. 1.192 1.192 ↑ 12.0 6 596

Index Scan using value_top_idx on value prop_name_v (cost=0.43..1.72 rows=72 width=8) (actual time=0.001..0.002 rows=6 loops=596)

  • Index Cond: (top = prop_purpose_v.top)
53. 3.304 3.304 ↓ 0.0 0 3,304

Index Scan using simple_value_value_id_idx on simple_value prop_name (cost=0.43..0.56 rows=1 width=9) (actual time=0.001..0.001 rows=0 loops=3,304)

  • Index Cond: (value_id = prop_name_v.id)
  • Filter: (short_xpath = 'annotation.propertyName'::ltree)
  • Rows Removed by Filter: 1
54. 1.192 1.192 ↑ 12.0 6 596

Index Scan using value_top_idx on value prop_translation_v (cost=0.43..1.72 rows=72 width=8) (actual time=0.001..0.002 rows=6 loops=596)

  • Index Cond: (top = prop_name_v.top)
55. 3.304 3.304 ↓ 0.0 0 3,304

Index Scan using simple_value_value_id_idx on simple_value prop_translation (cost=0.43..0.56 rows=1 width=9) (actual time=0.001..0.001 rows=0 loops=3,304)

  • Index Cond: (value_id = prop_translation_v.id)
  • Filter: (short_xpath = 'annotation.translatedNote.note'::ltree)
  • Rows Removed by Filter: 1
56. 1.056 1.056 ↑ 1.0 1 1,056

Index Scan using simple_value_value_id_idx on simple_value prop_translation_lang (cost=0.43..0.56 rows=1 width=9) (actual time=0.001..0.001 rows=1 loops=1,056)

  • Index Cond: (value_id = prop_translation_v.id)
  • Filter: (short_xpath = 'annotation.translatedNote.note.0lang'::ltree)
  • Rows Removed by Filter: 1
57. 0.000 0.000 ↑ 1.0 1 1,056

Seq Scan on language lang (cost=0.00..1.02 rows=1 width=12) (actual time=0.000..0.000 rows=1 loops=1,056)

  • Filter: (id = 1)
  • Rows Removed by Filter: 1
58.          

CTE translated_enum_value

59. 24.122 142.837 ↓ 234.1 18,261 1

Hash Join (cost=538.76..4,556.01 rows=78 width=108) (actual time=4.108..142.837 rows=18,261 loops=1)

  • Hash Cond: (v_1.complex_data_type_part_id = cdtp.id)
  • Join Filter: (((dtee.value)::text = v_1.value) OR (dtee.other AND (('OTHER:'::text || (dtee.value)::text) = v_1.value)))
  • Rows Removed by Join Filter: 164546
60. 114.667 114.667 ↑ 1.6 47,777 1

CTE Scan on values v_1 (cost=0.00..1,564.78 rows=78,239 width=84) (actual time=0.000..114.667 rows=47,777 loops=1)

61. 0.702 4.048 ↓ 2.2 5,952 1

Hash (cost=504.36..504.36 rows=2,752 width=35) (actual time=4.048..4.048 rows=5,952 loops=1)

  • Buckets: 8192 (originally 4096) Batches: 1 (originally 1) Memory Usage: 454kB
62. 0.876 3.346 ↓ 2.2 5,952 1

Hash Join (cost=269.15..504.36 rows=2,752 width=35) (actual time=0.969..3.346 rows=5,952 loops=1)

  • Hash Cond: (dtee.id = tdtee.data_type_enumeration_element_id)
63. 0.919 1.846 ↓ 1.8 6,607 1

Merge Join (cost=128.66..318.44 rows=3,582 width=15) (actual time=0.340..1.846 rows=6,607 loops=1)

  • Merge Cond: (dtee.data_type_id = cdtp.data_type_id)
64. 0.345 0.345 ↑ 1.0 2,827 1

Index Scan using data_type_enumeration_element_data_type_id_sort_key on data_type_enumeration_element dtee (cost=0.28..129.48 rows=2,827 width=15) (actual time=0.007..0.345 rows=2,827 loops=1)

65. 0.427 0.582 ↓ 4.1 7,407 1

Sort (cost=128.32..132.89 rows=1,828 width=8) (actual time=0.329..0.582 rows=7,407 loops=1)

  • Sort Key: cdtp.data_type_id
  • Sort Method: quicksort Memory: 134kB
66. 0.155 0.155 ↑ 1.0 1,828 1

Seq Scan on complex_data_type_part cdtp (cost=0.00..29.28 rows=1,828 width=8) (actual time=0.003..0.155 rows=1,828 loops=1)

67. 0.231 0.624 ↑ 1.0 2,172 1

Hash (cost=113.34..113.34 rows=2,172 width=28) (actual time=0.624..0.624 rows=2,172 loops=1)

  • Buckets: 4096 Batches: 1 Memory Usage: 157kB
68. 0.393 0.393 ↑ 1.0 2,172 1

Seq Scan on data_type_enumeration_element tdtee (cost=0.00..113.34 rows=2,172 width=28) (actual time=0.007..0.393 rows=2,172 loops=1)

  • Filter: (language_id = 1)
  • Rows Removed by Filter: 1775
69.          

CTE data_class_names

70. 0.001 0.014 ↓ 0.0 0 1

Nested Loop (cost=5.68..8.66 rows=1 width=495) (actual time=0.014..0.014 rows=0 loops=1)

71. 0.000 0.013 ↓ 0.0 0 1

Nested Loop (cost=5.54..8.48 rows=1 width=31) (actual time=0.013..0.013 rows=0 loops=1)

  • Join Filter: (nr_2.data_class_id = dc_1.id)
72. 0.008 0.013 ↓ 0.0 0 1

Hash Join (cost=5.27..7.65 rows=1 width=12) (actual time=0.013..0.013 rows=0 loops=1)

  • Hash Cond: (f_3.data_class_id = nr_2.data_class_id)
73. 0.001 0.001 ↑ 100.0 1 1

CTE Scan on features f_3 (cost=0.00..2.00 rows=100 width=8) (actual time=0.001..0.001 rows=1 loops=1)

74. 0.000 0.004 ↓ 0.0 0 1

Hash (cost=5.24..5.24 rows=2 width=4) (actual time=0.004..0.004 rows=0 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 8kB
75. 0.004 0.004 ↓ 0.0 0 1

CTE Scan on name_rule nr_2 (cost=0.00..5.24 rows=2 width=4) (actual time=0.004..0.004 rows=0 loops=1)

  • Filter: ((path IS NULL) OR ((path)::text = ''::text))
  • Rows Removed by Filter: 2
76. 0.000 0.000 ↓ 0.0 0

Index Scan using data_class_pkey on data_class dc_1 (cost=0.28..0.81 rows=1 width=31) (never executed)

  • Index Cond: (id = f_3.data_class_id)
77. 0.000 0.000 ↓ 0.0 0

Index Scan using namespace_pkey on namespace n (cost=0.14..0.17 rows=1 width=472) (never executed)

  • Index Cond: (id = dc_1.namespace_id)
78.          

CTE names_merge_source

79. 16.139 390.231 ↑ 1.9 41,230 1

Unique (cost=9,605.78..10,388.18 rows=78,240 width=132) (actual time=371.216..390.231 rows=41,230 loops=1)

80. 37.687 374.092 ↑ 1.6 47,777 1

Sort (cost=9,605.78..9,801.38 rows=78,240 width=132) (actual time=371.214..374.092 rows=47,777 loops=1)

  • Sort Key: v_2.feature_id, (COALESCE(tpv.translation, tv.name, v_2.value)), v_2.short_xpath
  • Sort Method: quicksort Memory: 7802kB
81. 2.523 336.405 ↑ 1.6 47,777 1

Append (cost=2.57..3,246.58 rows=78,240 width=132) (actual time=307.696..336.405 rows=47,777 loops=1)

82. 9.905 333.868 ↑ 1.6 47,777 1

Hash Left Join (cost=2.57..2,464.16 rows=78,239 width=132) (actual time=307.695..333.868 rows=47,777 loops=1)

  • Hash Cond: (v_2.simple_value_id = tv.simple_value_id)
83. 11.489 171.165 ↑ 1.6 47,777 1

Hash Left Join (cost=0.03..1,863.10 rows=78,239 width=104) (actual time=154.887..171.165 rows=47,777 loops=1)

  • Hash Cond: (v_2.feature_id = tpv.feature_id)
  • Join Filter: (tpv.path = v_2.short_xpath)
  • Rows Removed by Join Filter: 28684
84. 134.503 134.503 ↑ 1.6 47,777 1

CTE Scan on values v_2 (cost=0.00..1,564.78 rows=78,239 width=72) (actual time=129.703..134.503 rows=47,777 loops=1)

85. 0.061 25.173 ↓ 462.0 462 1

Hash (cost=0.02..0.02 rows=1 width=68) (actual time=25.173..25.173 rows=462 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 45kB
86. 25.112 25.112 ↓ 462.0 462 1

CTE Scan on translated_prop_value tpv (cost=0.00..0.02 rows=1 width=68) (actual time=24.961..25.112 rows=462 loops=1)

87. 2.819 152.798 ↓ 234.1 18,261 1

Hash (cost=1.56..1.56 rows=78 width=36) (actual time=152.798..152.798 rows=18,261 loops=1)

  • Buckets: 32768 (originally 1024) Batches: 1 (originally 1) Memory Usage: 1313kB
88. 149.979 149.979 ↓ 234.1 18,261 1

CTE Scan on translated_enum_value tv (cost=0.00..1.56 rows=78 width=36) (actual time=4.109..149.979 rows=18,261 loops=1)

89. 0.014 0.014 ↓ 0.0 0 1

CTE Scan on data_class_names dcn (cost=0.00..0.02 rows=1 width=36) (actual time=0.014..0.014 rows=0 loops=1)

90.          

CTE features_names

91. 2.228 510.643 ↓ 11.4 2,277 1

GroupAggregate (cost=14,530.15..14,536.07 rows=200 width=40) (actual time=508.169..510.643 rows=2,277 loops=1)

  • Group Key: nms.feature_id
92. 0.970 508.415 ↓ 10.0 4,551 1

Sort (cost=14,530.15..14,531.29 rows=456 width=40) (actual time=508.152..508.415 rows=4,551 loops=1)

  • Sort Key: nms.feature_id
  • Sort Method: quicksort Memory: 486kB
93. 7.339 507.445 ↓ 10.0 4,551 1

Merge Join (cost=13,524.54..14,510.01 rows=456 width=40) (actual time=498.790..507.445 rows=4,551 loops=1)

  • Merge Cond: (((nr_3.path)::text = ((nms.path)::text)) AND (nr_3.data_class_id = f_4.data_class_id))
94. 0.008 1.489 ↑ 116.5 2 1

Sort (cost=13.82..14.40 rows=233 width=476) (actual time=1.488..1.489 rows=2 loops=1)

  • Sort Key: nr_3.path, nr_3.data_class_id
  • Sort Method: quicksort Memory: 25kB
95. 1.481 1.481 ↑ 116.5 2 1

CTE Scan on name_rule nr_3 (cost=0.00..4.66 rows=233 width=476) (actual time=0.395..1.481 rows=2 loops=1)

96. 59.224 498.617 ↑ 1.9 41,228 1

Sort (cost=13,510.72..13,706.32 rows=78,240 width=72) (actual time=494.560..498.617 rows=41,228 loops=1)

  • Sort Key: ((nms.path)::text), f_4.data_class_id
  • Sort Method: quicksort Memory: 9752kB
97. 12.579 439.393 ↑ 1.9 41,230 1

Hash Join (cost=4,510.92..7,151.52 rows=78,240 width=72) (actual time=403.409..439.393 rows=41,230 loops=1)

  • Hash Cond: (nms.feature_id = f_4.id)
98. 395.297 395.297 ↑ 1.9 41,230 1

CTE Scan on names_merge_source nms (cost=0.00..1,564.80 rows=78,240 width=68) (actual time=371.218..395.297 rows=41,230 loops=1)

99. 18.104 31.517 ↑ 1.0 135,552 1

Hash (cost=2,816.52..2,816.52 rows=135,552 width=8) (actual time=31.517..31.517 rows=135,552 loops=1)

  • Buckets: 262144 Batches: 1 Memory Usage: 7343kB
100. 13.413 13.413 ↑ 1.0 135,552 1

Seq Scan on feature f_4 (cost=0.00..2,816.52 rows=135,552 width=8) (actual time=0.014..13.413 rows=135,552 loops=1)

101. 511.063 511.063 ↓ 11.4 2,277 1

CTE Scan on features_names fn (cost=0.00..4.00 rows=200 width=36) (actual time=508.171..511.063 rows=2,277 loops=1)

102. 0.325 10.488 ↓ 22.8 2,280 1

Hash (cost=2.00..2.00 rows=100 width=580) (actual time=10.488..10.488 rows=2,280 loops=1)

  • Buckets: 4096 (originally 1024) Batches: 1 (originally 1) Memory Usage: 201kB
103. 10.163 10.163 ↓ 22.8 2,280 1

CTE Scan on features f (cost=0.00..2.00 rows=100 width=580) (actual time=0.449..10.163 rows=2,280 loops=1)