explain.depesz.com

PostgreSQL's explain analyze made readable

Result: akJx : Optimization for: Optimization for: Optimization for: Optimization for: Optimization for: Optimization for: Optimization for: Optimization for: Optimization for: Optimization for: Optimization for: Optimization for: plan #yWnq; plan #Mjxa; plan #ximH; plan #tFxB; plan #c67q; plan #GF83; plan #WkFQ9; plan #JY3d; plan #C4RI; plan #6usz; plan #lEQ2; plan #BXY

Settings

Optimization path:

Optimization(s) for this plan:

# exclusive inclusive rows x rows loops node
1. 0.011 34.577 ↓ 3.5 92 1

Limit (cost=7,663.24..7,676.83 rows=26 width=554) (actual time=33.090..34.577 rows=92 loops=1)

2. 1.560 34.566 ↓ 3.5 92 1

Result (cost=7,663.24..7,676.83 rows=26 width=554) (actual time=33.089..34.566 rows=92 loops=1)

3. 0.091 33.006 ↓ 3.5 92 1

Sort (cost=7,663.24..7,663.31 rows=26 width=557) (actual time=32.991..33.006 rows=92 loops=1)

  • Sort Key: lima_delta1.quebec_seven
  • Sort Method: quicksort Memory: 115kB
4. 0.081 32.915 ↓ 3.5 92 1

Nested Loop (cost=339.12..7,662.63 rows=26 width=557) (actual time=2.169..32.915 rows=92 loops=1)

  • Join Filter: (lima_delta1.four_sierra = romeo_three1.quebec_seven)
  • Rows Removed by Join Filter: 168
5. 0.055 32.834 ↓ 3.5 92 1

Nested Loop Left Join (cost=339.12..7,656.73 rows=26 width=1,150) (actual time=2.161..32.834 rows=92 loops=1)

6. 0.077 32.779 ↓ 3.5 92 1

Nested Loop (cost=338.85..7,649.06 rows=26 width=1,125) (actual time=2.159..32.779 rows=92 loops=1)

7. 0.042 32.610 ↓ 3.5 92 1

Nested Loop (cost=338.57..7,641.45 rows=26 width=1,064) (actual time=2.151..32.610 rows=92 loops=1)

8. 0.088 32.196 ↓ 3.6 93 1

Nested Loop (cost=338.14..7,590.48 rows=26 width=1,040) (actual time=2.142..32.196 rows=93 loops=1)

9. 0.055 31.922 ↓ 3.6 93 1

Nested Loop Left Join (cost=337.86..7,582.50 rows=26 width=1,029) (actual time=2.136..31.922 rows=93 loops=1)

10. 0.035 31.774 ↓ 3.6 93 1

Nested Loop (cost=337.58..7,574.08 rows=26 width=362) (actual time=2.130..31.774 rows=93 loops=1)

11. 0.081 31.460 ↓ 3.4 93 1

Nested Loop (cost=337.29..7,565.45 rows=27 width=311) (actual time=2.123..31.460 rows=93 loops=1)

12. 1.676 31.286 ↑ 3.4 93 1

Hash Left Join (cost=337.02..7,472.38 rows=318 width=231) (actual time=2.116..31.286 rows=93 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: 17,533
13. 4.808 29.601 ↓ 18.0 17,626 1

Hash Join (cost=335.93..7,467.46 rows=978 width=231) (actual time=1.977..29.601 rows=17,626 loops=1)

  • Hash Cond: ((lima_delta1.juliet_hotel = alpha1.foxtrot_charlie) AND (lima_delta1.lima_echo = alpha1.uniform_bravo))
14. 22.851 22.851 ↑ 1.7 17,626 1

Index Scan using papa_yankee on foxtrot_romeo quebec_sierra (cost=0.56..6,975.07 rows=29,909 width=179) (actual time=0.021..22.851 rows=17,626 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. 0.753 1.942 ↓ 1.0 5,539 1

Hash (cost=252.95..252.95 rows=5,495 width=52) (actual time=1.941..1.942 rows=5,539 loops=1)

  • Buckets: 8,192 Batches: 1 Memory Usage: 501kB
16. 1.189 1.189 ↓ 1.0 5,539 1

Seq Scan on delta_alpha five_xray (cost=0.00..252.95 rows=5,495 width=52) (actual time=0.008..1.189 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=0.006..0.007 rows=3 loops=1)

  • Filter: ((juliet_charlie)::text = 'kilo_papa'::text)
  • Rows Removed by Filter: 1
19. 0.093 0.093 ↑ 1.0 1 93

Index Scan using two_delta on echo_zulu mike (cost=0.27..0.29 rows=1 width=96) (actual time=0.001..0.001 rows=1 loops=93)

  • Index Cond: (quebec_seven = lima_delta1.juliet_hotel)
20. 0.279 0.279 ↑ 1.0 1 93

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=93)

  • Index Cond: (quebec_seven = lima_delta1.lima_echo)
21. 0.093 0.093 ↓ 0.0 0 93

Index Scan using five_oscar on juliet_november romeo_kilo (cost=0.28..0.31 rows=1 width=675) (actual time=0.001..0.001 rows=0 loops=93)

  • Index Cond: (lima_delta1.quebec_seven = sierra_foxtrot)
22. 0.186 0.186 ↑ 1.0 1 93

Index Scan using kilo_charlie on golf uniform_romeo (cost=0.28..0.31 rows=1 width=27) (actual time=0.002..0.002 rows=1 loops=93)

  • Index Cond: (quebec_seven = lima_delta1.two_romeo)
23. 0.372 0.372 ↑ 1.0 1 93

Index Scan using charlie on uniform_kilo victor (cost=0.43..1.95 rows=1 width=32) (actual time=0.004..0.004 rows=1 loops=93)

  • Index Cond: (sierra_foxtrot = lima_delta1.quebec_seven)
24. 0.092 0.092 ↑ 1.0 1 92

Index Scan using kilo_kilo on oscar yankee_xray (cost=0.28..0.29 rows=1 width=69) (actual time=0.001..0.001 rows=1 loops=92)

  • Index Cond: (quebec_seven = echo_seven1.four_delta)
25. 0.000 0.000 ↓ 0.0 0 92

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=92)

  • Index Cond: (echo_seven1.delta_kilo = quebec_seven)
26. 0.000 0.000 ↑ 4.3 3 92

Materialize (cost=0.00..1.19 rows=13 width=25) (actual time=0.000..0.000 rows=3 loops=92)

27. 0.004 0.004 ↑ 4.3 3 1

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

Planning time : 25.578 ms
Execution time : 34.709 ms