explain.depesz.com

PostgreSQL's explain analyze made readable

Result: Grjg

Settings
# exclusive inclusive rows x rows loops node
1. 0.010 1,234.008 ↑ 1.0 25 1

Limit (cost=4.70..109,453.03 rows=25 width=16) (actual time=81.705..1,234.008 rows=25 loops=1)

2. 0.013 1,233.998 ↑ 24.2 25 1

Nested Loop (cost=4.70..2,653,032.19 rows=606 width=16) (actual time=81.705..1,233.998 rows=25 loops=1)

3. 0.034 1,233.960 ↑ 24.2 25 1

Nested Loop (cost=4.70..2,653,022.76 rows=606 width=24) (actual time=81.694..1,233.960 rows=25 loops=1)

4. 0.535 1,233.551 ↑ 28.0 25 1

Nested Loop (cost=4.27..2,652,553.02 rows=700 width=16) (actual time=81.674..1,233.551 rows=25 loops=1)

  • Join Filter: (pdt.id = p.definition_id)
  • Rows Removed by Join Filter: 7096
5. 0.034 1,232.641 ↑ 28.0 25 1

Nested Loop Left Join (cost=4.27..2,649,479.37 rows=700 width=24) (actual time=81.595..1,232.641 rows=25 loops=1)

6. 285.521 1,232.307 ↑ 28.0 25 1

Nested Loop Left Join (cost=3.84..2,649,046.13 rows=700 width=32) (actual time=81.577..1,232.307 rows=25 loops=1)

  • Filter: (f_unaccent(upper(concat(ad.street_name_french, ' ', ad.street_number_from, NULLIF((' - '::text || (ad.street_number_to)::text), ' - '::text), NULLIF((' / '::text || (ad.box_number)::text), ' / '::text)))) ~~ '%ROUGE%'::text)
  • Rows Removed by Filter: 54081
7. 1.780 838.574 ↑ 8.1 54,106 1

Nested Loop Left Join (cost=3.41..1,883,882.12 rows=437,806 width=48) (actual time=0.079..838.574 rows=54,106 loops=1)

8. 24.760 458.052 ↑ 8.1 54,106 1

Nested Loop Left Join (cost=2.13..1,105,021.64 rows=437,754 width=24) (actual time=0.055..458.052 rows=54,106 loops=1)

9. 24.004 433.292 ↑ 8.1 54,106 1

Nested Loop (cost=1.70..844,184.23 rows=437,754 width=32) (actual time=0.054..433.292 rows=54,106 loops=1)

10. 17.574 301.076 ↑ 8.1 54,106 1

Nested Loop (cost=1.27..583,232.55 rows=437,754 width=24) (actual time=0.045..301.076 rows=54,106 loops=1)

11. 15.274 175.290 ↑ 8.1 54,106 1

Nested Loop Left Join (cost=0.85..347,844.87 rows=437,754 width=24) (actual time=0.040..175.290 rows=54,106 loops=1)

12. 51.804 51.804 ↑ 8.1 54,106 1

Index Scan using case_reception_date_idx on case_t c (cost=0.42..124,947.57 rows=437,754 width=48) (actual time=0.029..51.804 rows=54,106 loops=1)

  • Filter: ((NOT deleted) AND (NOT a_new_version_exists) AND ((case_type)::text = 'URBANISM'::text))
  • Rows Removed by Filter: 4960
13. 108.212 108.212 ↑ 1.0 1 54,106

Index Scan using case_status_board_to_case_idx on case_status_board_t board (cost=0.42..0.50 rows=1 width=16) (actual time=0.002..0.002 rows=1 loops=54,106)

  • Index Cond: (c.id = case_id)
14. 108.212 108.212 ↑ 1.0 1 54,106

Index Scan using pk_configuration_t on configuration_t config (cost=0.42..0.53 rows=1 width=16) (actual time=0.002..0.002 rows=1 loops=54,106)

  • Index Cond: (id = c.configuration_id)
15. 108.212 108.212 ↑ 1.0 1 54,106

Index Scan using pk_phase_t on phase_t p (cost=0.43..0.59 rows=1 width=24) (actual time=0.002..0.002 rows=1 loops=54,106)

  • Index Cond: (id = config.current_phase_id)
16. 0.000 0.000 ↓ 0.0 0 54,106

Index Only Scan using pk_deadline_acm_t on deadline_acm_t d1 (cost=0.43..0.59 rows=1 width=8) (actual time=0.000..0.000 rows=0 loops=54,106)

  • Index Cond: (id = p.deadline_id)
  • Heap Fetches: 85
17. 0.000 378.742 ↑ 1.0 1 54,106

Nested Loop Left Join (cost=1.28..1.77 rows=1 width=32) (actual time=0.006..0.007 rows=1 loops=54,106)

18. 54.106 270.530 ↑ 1.0 1 54,106

Nested Loop Left Join (cost=0.85..1.14 rows=1 width=24) (actual time=0.004..0.005 rows=1 loops=54,106)

19. 108.212 108.212 ↑ 1.0 1 54,106

Index Scan using geolocation__case_idx on geolocation_t g (cost=0.42..0.51 rows=1 width=16) (actual time=0.002..0.002 rows=1 loops=54,106)

  • Index Cond: (case_id = c.id)
20. 108.212 108.212 ↓ 0.0 0 54,106

Index Scan using geolocation_address_pk on geolocation_address_context_t gac_norm (cost=0.43..0.62 rows=1 width=16) (actual time=0.002..0.002 rows=0 loops=54,106)

  • Index Cond: (g.id = geolocation_id)
  • Filter: (is_principal AND ((context_type)::text = 'TARGET'::text))
  • Rows Removed by Filter: 2
21. 108.212 108.212 ↑ 1.0 1 54,106

Index Scan using geolocation_address_pk on geolocation_address_context_t gac_desc (cost=0.43..0.62 rows=1 width=16) (actual time=0.001..0.002 rows=1 loops=54,106)

  • Index Cond: (g.id = geolocation_id)
  • Filter: (is_principal AND ((context_type)::text = 'DESCRIPTIVE_TARGET'::text))
  • Rows Removed by Filter: 1
22. 108.212 108.212 ↑ 1.0 1 54,106

Index Scan using pk_address_t on address_t ad (cost=0.43..1.47 rows=1 width=29) (actual time=0.002..0.002 rows=1 loops=54,106)

  • Index Cond: (id = COALESCE(gac_desc.address_id, gac_norm.address_id))
23. 0.300 0.300 ↑ 1.0 1 25

Index Scan using geolocation_localization_context_geolocation_id_idx on geolocation_localization_context_t glc (cost=0.43..0.61 rows=1 width=16) (actual time=0.012..0.012 rows=1 loops=25)

  • Index Cond: (g.id = geolocation_id)
  • Filter: ((context_type)::text = 'TARGET'::text)
  • Rows Removed by Filter: 1
24. 0.330 0.375 ↑ 1.0 285 25

Materialize (cost=0.00..8.38 rows=292 width=8) (actual time=0.001..0.015 rows=285 loops=25)

25. 0.045 0.045 ↓ 1.0 295 1

Seq Scan on phase_definition_t pdt (cost=0.00..6.92 rows=292 width=8) (actual time=0.011..0.045 rows=295 loops=1)

26. 0.375 0.375 ↑ 1.0 1 25

Index Only Scan using pk_case_actor_authority on case_actor_authority_t actors1_ (cost=0.43..0.66 rows=1 width=16) (actual time=0.015..0.015 rows=1 loops=25)

  • Index Cond: ((case_id = c.id) AND (authority_abstract_id = 20))
  • Heap Fetches: 25
27. 0.015 0.025 ↑ 1.0 1 25

Materialize (cost=0.00..1.85 rows=1 width=8) (actual time=0.001..0.001 rows=1 loops=25)

28. 0.010 0.010 ↑ 1.0 1 1

Seq Scan on authority_abstract_t abstractau2_ (cost=0.00..1.85 rows=1 width=8) (actual time=0.008..0.010 rows=1 loops=1)

  • Filter: (id = 20)
  • Rows Removed by Filter: 67
Planning time : 11.103 ms