explain.depesz.com

PostgreSQL's explain analyze made readable

Result: Bm04

Settings
# exclusive inclusive rows x rows loops node
1. 0.767 693.905 ↓ 22.8 2,280 1

Hash Right Join (cost=118,399.55..118,405.55 rows=100 width=612) (actual time=689.872..693.905 rows=2,280 loops=1)

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

CTE features

3. 0.159 5.720 ↓ 22.8 2,280 1

Nested Loop (cost=2.18..791.51 rows=100 width=55) (actual time=0.758..5.720 rows=2,280 loops=1)

4. 0.765 1.001 ↓ 22.8 2,280 1

HashAggregate (cost=1.76..2.76 rows=100 width=4) (actual time=0.745..1.001 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. 0.236 0.236 ↓ 22.8 2,280 1

Result (cost=0.00..0.51 rows=100 width=0) (actual time=0.005..0.236 rows=2,280 loops=1)

6. 4.560 4.560 ↑ 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=0.002..0.002 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. 1.348 2.805 ↑ 117.0 2 1

Recursive Union (cost=3.25..524.70 rows=234 width=20) (actual time=0.728..2.805 rows=2 loops=1)

9. 0.720 1.446 ↓ 29.6 4,560 1

Hash Right Join (cost=3.25..9.25 rows=154 width=16) (actual time=0.726..1.446 rows=4,560 loops=1)

  • Hash Cond: (nr.data_class_id = f_2.data_class_id)
10. 0.013 0.013 ↑ 1.0 179 1

Seq Scan on name_rule nr (cost=0.00..3.79 rows=179 width=16) (actual time=0.006..0.013 rows=179 loops=1)

11. 0.326 0.713 ↓ 22.8 2,280 1

Hash (cost=2.00..2.00 rows=100 width=4) (actual time=0.713..0.713 rows=2,280 loops=1)

  • Buckets: 4096 (originally 1024) Batches: 1 (originally 1) Memory Usage: 113kB
12. 0.387 0.387 ↓ 22.8 2,280 1

CTE Scan on features f_2 (cost=0.00..2.00 rows=100 width=4) (actual time=0.001..0.387 rows=2,280 loops=1)

13. 0.000 0.011 ↓ 0.0 0 1

Nested Loop Left Join (cost=31.05..51.08 rows=8 width=20) (actual time=0.011..0.011 rows=0 loops=1)

14. 0.005 0.011 ↓ 0.0 0 1

Hash Join (cost=30.90..49.31 rows=8 width=8) (actual time=0.011..0.011 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. 0.001 0.002 ↓ 0.0 0 1

Hash (cost=30.80..30.80 rows=8 width=8) (actual time=0.002..0.002 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. 2.808 2.808 ↑ 116.5 2 1

CTE Scan on data_class_rule (cost=0.00..4.68 rows=233 width=476) (actual time=0.730..2.808 rows=2 loops=1)

  • Filter: (priority IS NOT NULL)
21.          

CTE snapshot_values

22. 243.374 243.374 ↓ 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=242.418..243.374 rows=12,415 loops=1)

23.          

CTE values

24. 27.401 362.565 ↑ 1.6 47,777 1

Nested Loop (cost=9.07..87,289.55 rows=78,251 width=59) (actual time=242.457..362.565 rows=47,777 loops=1)

25. 12.546 293.612 ↑ 1.8 41,552 1

Nested Loop (cost=8.65..45,635.71 rows=73,473 width=12) (actual time=242.446..293.612 rows=41,552 loops=1)

26. 243.821 243.821 ↓ 12.4 12,415 1

CTE Scan on snapshot_values snv_1 (cost=0.00..20.00 rows=1,000 width=8) (actual time=242.420..243.821 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=0.003..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. 0.107 41.924 ↓ 462.0 462 1

Unique (cost=282.77..282.78 rows=1 width=14) (actual time=41.791..41.924 rows=462 loops=1)

34. 0.227 41.817 ↓ 462.0 462 1

Sort (cost=282.77..282.78 rows=1 width=14) (actual time=41.791..41.817 rows=462 loops=1)

  • Sort Key: snv_2.feature_id, ((prop_name.value)::ltree), prop_translation.value
  • Sort Method: quicksort Memory: 69kB
35. 0.862 41.590 ↓ 462.0 462 1

Nested Loop (cost=253.00..282.76 rows=1 width=14) (actual time=8.223..41.590 rows=462 loops=1)

  • Join Filter: (prop_translation_lang.value = (lang.let2)::text)
  • Rows Removed by Join Filter: 594
36. 1.044 39.672 ↓ 1,056.0 1,056 1

Nested Loop (cost=253.00..281.72 rows=1 width=19) (actual time=8.208..39.672 rows=1,056 loops=1)

  • Join Filter: (prop_translation.value_id = prop_translation_lang.value_id)
37. 1.584 36.516 ↓ 1,056.0 1,056 1

Nested Loop (cost=252.57..281.14 rows=1 width=22) (actual time=8.201..36.516 rows=1,056 loops=1)

38. 0.752 28.324 ↓ 3,304.0 3,304 1

Nested Loop (cost=252.14..280.57 rows=1 width=13) (actual time=8.187..28.324 rows=3,304 loops=1)

  • Join Filter: (annots.value_id = prop_translation_v.top)
39. 0.963 25.784 ↓ 596.0 596 1

Nested Loop (cost=251.71..277.95 rows=1 width=25) (actual time=8.181..25.784 rows=596 loops=1)

40. 1.074 18.213 ↓ 3,304.0 3,304 1

Nested Loop (cost=251.29..277.38 rows=1 width=24) (actual time=8.175..18.213 rows=3,304 loops=1)

  • Join Filter: (annots.value_id = prop_name_v.top)
41. 0.356 15.351 ↓ 596.0 596 1

Nested Loop (cost=250.86..274.76 rows=1 width=16) (actual time=8.166..15.351 rows=596 loops=1)

  • Join Filter: (snv_2.id = annots.value_id)
42. 1.759 13.207 ↓ 596.0 596 1

Hash Join (cost=250.43..274.19 rows=1 width=12) (actual time=8.150..13.207 rows=596 loops=1)

  • Hash Cond: (snv_2.id = prop_purpose_v.top)
43. 3.306 3.306 ↓ 12.4 12,415 1

CTE Scan on snapshot_values snv_2 (cost=0.00..20.00 rows=1,000 width=8) (actual time=0.001..3.306 rows=12,415 loops=1)

44. 0.351 8.142 ↓ 596.3 1,789 1

Hash (cost=250.39..250.39 rows=3 width=4) (actual time=8.142..8.142 rows=1,789 loops=1)

  • Buckets: 2048 (originally 1024) Batches: 1 (originally 1) Memory Usage: 79kB
45. 0.993 7.791 ↓ 596.3 1,789 1

Nested Loop (cost=213.49..250.39 rows=3 width=4) (actual time=1.059..7.791 rows=1,789 loops=1)

46. 2.271 3.220 ↓ 596.3 1,789 1

Bitmap Heap Scan on simple_value prop_purpose (cost=213.06..225.03 rows=3 width=4) (actual time=1.051..3.220 rows=1,789 loops=1)

  • Recheck Cond: ((value = 'OTHER:TRANSLATION'::text) AND (short_xpath = 'annotation.purpose'::ltree))
  • Heap Blocks: exact=1045
47. 0.099 0.949 ↓ 0.0 0 1

BitmapAnd (cost=213.06..213.06 rows=3 width=0) (actual time=0.949..0.949 rows=0 loops=1)

48. 0.361 0.361 ↑ 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=0.361..0.361 rows=2,923 loops=1)

  • Index Cond: (value = 'OTHER:TRANSLATION'::text)
49. 0.489 0.489 ↓ 1.2 1,989 1

Bitmap Index Scan on simple_value_short_xpath_idx (cost=0.00..117.01 rows=1,680 width=0) (actual time=0.489..0.489 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. 1.788 1.788 ↑ 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=0.003..0.003 rows=1 loops=596)

  • Index Cond: (value_id = prop_purpose_v.top)
  • Filter: (short_xpath = 'annotation'::ltree)
52. 1.788 1.788 ↑ 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=0.002..0.003 rows=6 loops=596)

  • Index Cond: (top = prop_purpose_v.top)
53. 6.608 6.608 ↓ 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=0.002..0.002 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. 1.788 1.788 ↑ 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=0.002..0.003 rows=6 loops=596)

  • Index Cond: (top = prop_name_v.top)
55. 6.608 6.608 ↓ 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=0.002..0.002 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. 2.112 2.112 ↑ 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=0.002..0.002 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. 1.056 1.056 ↑ 1.0 1 1,056

Seq Scan on language lang (cost=0.00..1.02 rows=1 width=12) (actual time=0.000..0.001 rows=1 loops=1,056)

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

CTE translated_enum_value

59. 29.794 174.708 ↓ 234.1 18,261 1

Hash Join (cost=538.76..4,556.62 rows=78 width=108) (actual time=7.334..174.708 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. 137.653 137.653 ↑ 1.6 47,777 1

CTE Scan on values v_1 (cost=0.00..1,565.02 rows=78,251 width=84) (actual time=0.001..137.653 rows=47,777 loops=1)

61. 1.248 7.261 ↓ 2.2 5,952 1

Hash (cost=504.36..504.36 rows=2,752 width=35) (actual time=7.261..7.261 rows=5,952 loops=1)

  • Buckets: 8192 (originally 4096) Batches: 1 (originally 1) Memory Usage: 454kB
62. 1.578 6.013 ↓ 2.2 5,952 1

Hash Join (cost=269.15..504.36 rows=2,752 width=35) (actual time=1.758..6.013 rows=5,952 loops=1)

  • Hash Cond: (dtee.id = tdtee.data_type_enumeration_element_id)
63. 1.625 3.295 ↓ 1.8 6,607 1

Merge Join (cost=128.66..318.44 rows=3,582 width=15) (actual time=0.612..3.295 rows=6,607 loops=1)

  • Merge Cond: (dtee.data_type_id = cdtp.data_type_id)
64. 0.631 0.631 ↑ 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=0.009..0.631 rows=2,827 loops=1)

65. 0.758 1.039 ↓ 4.1 7,407 1

Sort (cost=128.32..132.89 rows=1,828 width=8) (actual time=0.598..1.039 rows=7,407 loops=1)

  • Sort Key: cdtp.data_type_id
  • Sort Method: quicksort Memory: 134kB
66. 0.281 0.281 ↑ 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=0.005..0.281 rows=1,828 loops=1)

67. 0.408 1.140 ↑ 1.0 2,172 1

Hash (cost=113.34..113.34 rows=2,172 width=28) (actual time=1.140..1.140 rows=2,172 loops=1)

  • Buckets: 4096 Batches: 1 Memory Usage: 157kB
68. 0.732 0.732 ↑ 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=0.009..0.732 rows=2,172 loops=1)

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

CTE data_class_names

70. 0.000 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. 0.001 0.014 ↓ 0.0 0 1

Nested Loop (cost=5.54..8.48 rows=1 width=31) (actual time=0.014..0.014 rows=0 loops=1)

  • Join Filter: (nr_2.data_class_id = dc_1.id)
72. 0.007 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. 0.001 0.005 ↓ 0.0 0 1

Hash (cost=5.24..5.24 rows=2 width=4) (actual time=0.005..0.005 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. 16.190 555.250 ↑ 1.9 41,230 1

Unique (cost=9,607.34..10,389.86 rows=78,252 width=132) (actual time=535.951..555.250 rows=41,230 loops=1)

80. 38.399 539.060 ↑ 1.6 47,777 1

Sort (cost=9,607.34..9,802.97 rows=78,252 width=132) (actual time=535.950..539.060 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. 2.440 500.661 ↑ 1.6 47,777 1

Append (cost=2.57..3,247.08 rows=78,252 width=132) (actual time=471.160..500.661 rows=47,777 loops=1)

82. 10.601 498.206 ↑ 1.6 47,777 1

Hash Left Join (cost=2.57..2,464.54 rows=78,251 width=132) (actual time=471.159..498.206 rows=47,777 loops=1)

  • Hash Cond: (v_2.simple_value_id = tv.simple_value_id)
83. 11.639 301.092 ↑ 1.6 47,777 1

Hash Left Join (cost=0.03..1,863.38 rows=78,251 width=104) (actual time=284.634..301.092 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. 247.293 247.293 ↑ 1.6 47,777 1

CTE Scan on values v_2 (cost=0.00..1,565.02 rows=78,251 width=72) (actual time=242.461..247.293 rows=47,777 loops=1)

85. 0.112 42.160 ↓ 462.0 462 1

Hash (cost=0.02..0.02 rows=1 width=68) (actual time=42.160..42.160 rows=462 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 45kB
86. 42.048 42.048 ↓ 462.0 462 1

CTE Scan on translated_prop_value tpv (cost=0.00..0.02 rows=1 width=68) (actual time=41.792..42.048 rows=462 loops=1)

87. 3.531 186.513 ↓ 234.1 18,261 1

Hash (cost=1.56..1.56 rows=78 width=36) (actual time=186.513..186.513 rows=18,261 loops=1)

  • Buckets: 32768 (originally 1024) Batches: 1 (originally 1) Memory Usage: 1313kB
88. 182.982 182.982 ↓ 234.1 18,261 1

CTE Scan on translated_enum_value tv (cost=0.00..1.56 rows=78 width=36) (actual time=7.336..182.982 rows=18,261 loops=1)

89. 0.015 0.015 ↓ 0.0 0 1

CTE Scan on data_class_names dcn (cost=0.00..0.02 rows=1 width=36) (actual time=0.015..0.015 rows=0 loops=1)

90.          

CTE features_names

91. 2.399 685.322 ↓ 11.4 2,277 1

GroupAggregate (cost=14,531.77..14,537.69 rows=200 width=40) (actual time=682.587..685.322 rows=2,277 loops=1)

  • Group Key: nms.feature_id
92. 1.036 682.923 ↓ 10.0 4,551 1

Sort (cost=14,531.77..14,532.91 rows=456 width=40) (actual time=682.571..682.923 rows=4,551 loops=1)

  • Sort Key: nms.feature_id
  • Sort Method: quicksort Memory: 486kB
93. 7.545 681.887 ↓ 10.0 4,551 1

Merge Join (cost=13,526.01..14,511.63 rows=456 width=40) (actual time=672.534..681.887 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. 0.007 2.817 ↑ 116.5 2 1

Sort (cost=13.82..14.40 rows=233 width=476) (actual time=2.816..2.817 rows=2 loops=1)

  • Sort Key: nr_3.path, nr_3.data_class_id
  • Sort Method: quicksort Memory: 25kB
95. 2.810 2.810 ↑ 116.5 2 1

CTE Scan on name_rule nr_3 (cost=0.00..4.66 rows=233 width=476) (actual time=0.731..2.810 rows=2 loops=1)

96. 61.994 671.525 ↑ 1.9 41,228 1

Sort (cost=13,512.18..13,707.81 rows=78,252 width=72) (actual time=666.952..671.525 rows=41,228 loops=1)

  • Sort Key: ((nms.path)::text), f_4.data_class_id
  • Sort Method: quicksort Memory: 9752kB
97. 13.266 609.531 ↑ 1.9 41,230 1

Hash Join (cost=4,510.92..7,151.93 rows=78,252 width=72) (actual time=571.270..609.531 rows=41,230 loops=1)

  • Hash Cond: (nms.feature_id = f_4.id)
98. 561.637 561.637 ↑ 1.9 41,230 1

CTE Scan on names_merge_source nms (cost=0.00..1,565.04 rows=78,252 width=68) (actual time=535.952..561.637 rows=41,230 loops=1)

99. 21.037 34.628 ↑ 1.0 135,552 1

Hash (cost=2,816.52..2,816.52 rows=135,552 width=8) (actual time=34.628..34.628 rows=135,552 loops=1)

  • Buckets: 262144 Batches: 1 Memory Usage: 7343kB
100. 13.591 13.591 ↑ 1.0 135,552 1

Seq Scan on feature f_4 (cost=0.00..2,816.52 rows=135,552 width=8) (actual time=0.008..13.591 rows=135,552 loops=1)

101. 685.863 685.863 ↓ 11.4 2,277 1

CTE Scan on features_names fn (cost=0.00..4.00 rows=200 width=36) (actual time=682.588..685.863 rows=2,277 loops=1)

102. 0.579 7.275 ↓ 22.8 2,280 1

Hash (cost=2.00..2.00 rows=100 width=580) (actual time=7.275..7.275 rows=2,280 loops=1)

  • Buckets: 4096 (originally 1024) Batches: 1 (originally 1) Memory Usage: 201kB
103. 6.696 6.696 ↓ 22.8 2,280 1

CTE Scan on features f (cost=0.00..2.00 rows=100 width=580) (actual time=0.760..6.696 rows=2,280 loops=1)