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PostgreSQL's explain analyze made readable

Result: Mjxa : Optimization for: plan #yWnq

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Optimization path:

Optimization(s) for this plan:

# exclusive inclusive rows x rows loops node
1. 0.011 43.923 ↓ 3.6 93 1

Limit (cost=7,676.50..7,678.32 rows=26 width=554) (actual time=43.810..43.923 rows=93 loops=1)

2. 0.086 43.912 ↓ 3.6 93 1

Unique (cost=7,676.50..7,678.32 rows=26 width=554) (actual time=43.809..43.912 rows=93 loops=1)

3. 0.160 43.826 ↓ 3.6 93 1

Sort (cost=7,676.50..7,676.56 rows=26 width=554) (actual time=43.808..43.826 rows=93 loops=1)

  • Sort Key: lima_delta1.quebec_seven, lima_delta1.juliet_delta, lima_delta1.oscar_four, lima_delta1.november_seven, lima_delta1.mike_seven, lima_delta1.foxtrot_bravo, lima_delta1.golf_echo, lima_delta1.zulu_alpha, lima_delta1.november_romeo, romeo_three1.three, romeo_three1.six_xray, kilo_foxtrot1.quebec_seven, kilo_foxtrot1.juliet_delta, kilo_foxtrot1.three, kilo_foxtrot2.quebec_seven, kilo_foxtrot2.juliet_delta, kilo_foxtrot2.three, alpha_seven1.three, alpha_seven1.yankee_tango, uniform_delta1.quebec_seven, uniform_delta1.juliet_delta, uniform_delta1.three, papa_kilo1.whiskey_zulu, echo_seven1.victor_five, ((zulu_uniform1.oscar_sierra five_romeo NOT NULL)), (six_uniform(0, alpha_oscar1.six_uniform, lima_delta1.foxtrot_bravo, LOCALTIMESTAMP, lima_delta1.mike_seven)), ((six_uniform(1, alpha_oscar1.six_uniform, lima_delta1.foxtrot_bravo, LOCALTIMESTAMP, lima_delta1.mike_seven))::boolean)
  • Sort Method: quicksort Memory: 94kB
4. 2.930 43.666 ↓ 3.6 93 1

Nested Loop Left Join (cost=339.12..7,675.89 rows=26 width=554) (actual time=2.328..43.666 rows=93 loops=1)

5. 0.070 40.736 ↓ 3.6 93 1

Nested Loop (cost=338.85..7,654.96 rows=26 width=1,134) (actual time=2.218..40.736 rows=93 loops=1)

6. 0.077 40.480 ↓ 3.6 93 1

Nested Loop (cost=338.57..7,647.35 rows=26 width=1,073) (actual time=2.211..40.480 rows=93 loops=1)

7. 0.095 39.933 ↓ 3.6 94 1

Nested Loop (cost=338.14..7,596.38 rows=26 width=1,049) (actual time=2.204..39.933 rows=94 loops=1)

8. 0.109 39.556 ↓ 3.6 94 1

Nested Loop (cost=337.86..7,588.40 rows=26 width=1,038) (actual time=2.196..39.556 rows=94 loops=1)

  • Join Filter: (lima_delta1.four_sierra = romeo_three1.quebec_seven)
  • Rows Removed by Join Filter: 170
9. 0.015 39.447 ↓ 3.6 94 1

Nested Loop Left Join (cost=337.86..7,582.50 rows=26 width=1,029) (actual time=2.189..39.447 rows=94 loops=1)

10. 0.117 39.244 ↓ 3.6 94 1

Nested Loop (cost=337.58..7,574.08 rows=26 width=362) (actual time=2.182..39.244 rows=94 loops=1)

11. 0.100 38.845 ↓ 3.5 94 1

Nested Loop (cost=337.29..7,565.45 rows=27 width=311) (actual time=2.174..38.845 rows=94 loops=1)

12. 2.161 38.557 ↑ 3.4 94 1

Hash Left Join (cost=337.02..7,472.38 rows=318 width=231) (actual time=2.165..38.557 rows=94 loops=1)

  • Hash Cond: (lima_delta1.juliet_hotel = india1.quebec_hotel)
  • Filter: ((lima_delta1.juliet_hotel = 81) OR (india1.yankee_zulu = 81))
  • Rows Removed by Filter: 17,507
13. 6.105 36.387 ↓ 18.0 17,601 1

Hash Join (cost=335.93..7,467.46 rows=978 width=231) (actual time=2.148..36.387 rows=17,601 loops=1)

  • Hash Cond: ((lima_delta1.juliet_hotel = alpha_oscar1.foxtrot_charlie) AND (lima_delta1.lima_echo = alpha_oscar1.uniform_bravo))
14. 28.198 28.198 ↑ 1.7 17,601 1

Index Scan using papa_yankee on foxtrot_romeo quebec_sierra (cost=0.56..6,975.07 rows=29,909 width=179) (actual time=0.048..28.198 rows=17,601 loops=1)

  • Index Cond: ((lima_romeo)::text = 'quebec_quebec'::text)
  • Filter: ((NOT papa_bravo) OR (papa_bravo five_romeo NULL))
  • Rows Removed by Filter: 9,402
15. 0.787 2.084 ↓ 1.0 5,539 1

Hash (cost=252.95..252.95 rows=5,495 width=52) (actual time=2.084..2.084 rows=5,539 loops=1)

  • Buckets: 8,192 Batches: 1 Memory Usage: 501kB
16. 1.297 1.297 ↓ 1.0 5,539 1

Seq Scan on delta_alpha five_xray (cost=0.00..252.95 rows=5,495 width=52) (actual time=0.010..1.297 rows=5,539 loops=1)

17. 0.002 0.009 ↑ 1.0 3 1

Hash (cost=1.05..1.05 rows=3 width=16) (actual time=0.008..0.009 rows=3 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 9kB
18. 0.007 0.007 ↑ 1.0 3 1

Seq Scan on hotel_three romeo_foxtrot (cost=0.00..1.05 rows=3 width=16) (actual time=0.005..0.007 rows=3 loops=1)

  • Filter: ((juliet_charlie)::text = 'kilo_papa'::text)
  • Rows Removed by Filter: 1
19. 0.188 0.188 ↑ 1.0 1 94

Index Scan using two_delta on echo_zulu mike_quebec (cost=0.27..0.29 rows=1 width=96) (actual time=0.002..0.002 rows=1 loops=94)

  • Index Cond: (quebec_seven = lima_delta1.juliet_hotel)
20. 0.282 0.282 ↑ 1.0 1 94

Index Scan using sierra_delta on sierra_three whiskey_six (cost=0.28..0.32 rows=1 width=67) (actual time=0.003..0.003 rows=1 loops=94)

  • Index Cond: (quebec_seven = lima_delta1.lima_echo)
21. 0.188 0.188 ↓ 0.0 0 94

Index Scan using five_oscar on juliet_november romeo_kilo (cost=0.28..0.31 rows=1 width=675) (actual time=0.002..0.002 rows=0 loops=94)

  • Index Cond: (lima_delta1.quebec_seven = sierra_foxtrot)
22. 0.000 0.000 ↑ 4.3 3 94

Materialize (cost=0.00..1.19 rows=13 width=25) (actual time=0.000..0.000 rows=3 loops=94)

23. 0.005 0.005 ↑ 4.3 3 1

Seq Scan on tango four_uniform (cost=0.00..1.13 rows=13 width=25) (actual time=0.004..0.005 rows=3 loops=1)

24. 0.282 0.282 ↑ 1.0 1 94

Index Scan using kilo_charlie on golf_five uniform_romeo (cost=0.28..0.31 rows=1 width=27) (actual time=0.003..0.003 rows=1 loops=94)

  • Index Cond: (quebec_seven = lima_delta1.two_romeo)
25. 0.470 0.470 ↑ 1.0 1 94

Index Scan using charlie on uniform_kilo victor_romeo (cost=0.43..1.95 rows=1 width=32) (actual time=0.005..0.005 rows=1 loops=94)

  • Index Cond: (sierra_foxtrot = lima_delta1.quebec_seven)
26. 0.186 0.186 ↑ 1.0 1 93

Index Scan using kilo_kilo on oscar_oscar yankee_xray (cost=0.28..0.29 rows=1 width=69) (actual time=0.002..0.002 rows=1 loops=93)

  • Index Cond: (quebec_seven = echo_seven1.four_delta)
27. 0.000 0.000 ↓ 0.0 0 93

Index Scan using uniform_golf on whiskey_tango hotel_golf (cost=0.28..0.30 rows=1 width=41) (actual time=0.000..0.000 rows=0 loops=93)

  • Index Cond: (echo_seven1.delta_kilo = quebec_seven)
Planning time : 19.624 ms
Execution time : 44.064 ms