explain.depesz.com

PostgreSQL's explain analyze made readable

Result: 4b1x

Settings
# exclusive inclusive rows x rows loops node
1. 3.617 1,297.603 ↓ 417.0 417 1

Sort (cost=903.57..903.57 rows=1 width=472) (actual time=1,295.223..1,297.603 rows=417 loops=1)

  • Sort Key: mr.id
  • Sort Method: quicksort Memory: 222kB
2. 20.927 1,293.986 ↓ 417.0 417 1

Nested Loop Left Join (cost=168.55..903.56 rows=1 width=472) (actual time=204.546..1,293.986 rows=417 loops=1)

3. 2.878 1,249.707 ↓ 417.0 417 1

Nested Loop Left Join (cost=168.27..902.74 rows=1 width=309) (actual time=204.252..1,249.707 rows=417 loops=1)

4. 7.361 1,144.247 ↓ 417.0 417 1

Nested Loop Left Join (cost=167.98..896.95 rows=1 width=309) (actual time=204.184..1,144.247 rows=417 loops=1)

5. 2.497 1,136.469 ↓ 417.0 417 1

Nested Loop Left Join (cost=167.70..896.32 rows=1 width=303) (actual time=204.177..1,136.469 rows=417 loops=1)

  • Filter: ((ml.id = ANY ('{17254,17537,17446,1476,17366,41195,41194,17444,17255,17365,41196,41197,41198,41199,17443,17252,39987,39988,39989,39990,17256,17463,41193,17257,40040,17251,17258,41202,1305,17250,41200,108,17445,1134,279,792,17280,1989,450,963,1818,41201,17468,40128,40075,40169,40074,17471,17465,17464,17466,17253,17470,40299,17467,17469,39741,1647,17279,39991,17106,621,17282,17283,17284,17285,17286,17287,17288,17289,17290,17291,17292,17293,17294,17295}'::integer[])) OR (mr.maintenance_location_id IS NULL))
6. 1.382 1,131.887 ↓ 417.0 417 1

Nested Loop Left Join (cost=167.42..895.60 rows=1 width=289) (actual time=204.157..1,131.887 rows=417 loops=1)

7. 1.138 1,125.084 ↓ 417.0 417 1

Nested Loop (cost=167.13..890.38 rows=1 width=288) (actual time=204.150..1,125.084 rows=417 loops=1)

8. 1.402 1,109.351 ↓ 417.0 417 1

Nested Loop (cost=166.84..885.74 rows=1 width=275) (actual time=204.133..1,109.351 rows=417 loops=1)

9. 1.186 1,104.196 ↓ 417.0 417 1

Nested Loop (cost=166.57..885.31 rows=1 width=270) (actual time=204.117..1,104.196 rows=417 loops=1)

10. 2.174 1,085.496 ↓ 417.0 417 1

Nested Loop (cost=166.44..885.14 rows=1 width=266) (actual time=204.105..1,085.496 rows=417 loops=1)

11. 87.193 1,078.735 ↓ 417.0 417 1

Nested Loop (cost=166.31..884.52 rows=1 width=270) (actual time=204.064..1,078.735 rows=417 loops=1)

  • Join Filter: (p.id = mr.property_id)
  • Rows Removed by Join Filter: 14178
12. 83.173 772.092 ↓ 14,630.0 14,630 1

Nested Loop (cost=165.88..876.63 rows=1 width=254) (actual time=204.038..772.092 rows=14,630 loops=1)

13. 89.999 497.819 ↓ 14,700.0 14,700 1

Nested Loop (cost=165.45..868.72 rows=1 width=149) (actual time=203.981..497.819 rows=14,700 loops=1)

14. 29.296 304.920 ↓ 397.3 14,700 1

Nested Loop (cost=165.17..823.73 rows=37 width=146) (actual time=203.964..304.920 rows=14,700 loops=1)

15. 0.162 204.329 ↓ 35.0 35 1

Nested Loop (cost=0.53..9.68 rows=1 width=36) (actual time=203.753..204.329 rows=35 loops=1)

16. 203.817 203.817 ↓ 35.0 35 1

Function Scan on load_properties lp (cost=0.25..1.00 rows=1 width=4) (actual time=203.736..203.817 rows=35 loops=1)

  • Filter: ((is_disabled = 0) AND (is_test = 0))
  • Rows Removed by Filter: 6
17. 0.350 0.350 ↑ 1.0 1 35

Index Scan using idx_properties_id on properties p (cost=0.28..8.30 rows=1 width=32) (actual time=0.010..0.010 rows=1 loops=35)

  • Index Cond: (id = lp.property_id)
  • Filter: (cid = 224)
18. 57.015 71.295 ↑ 2.2 420 35

Bitmap Heap Scan on maintenance_request_labors mrl (cost=164.64..804.74 rows=931 width=110) (actual time=0.439..2.037 rows=420 loops=35)

  • Recheck Cond: (company_employee_id = ANY ('{11196,204474,335400,325667,444283,325673,203706,194662,329592,444184,444274,444345,11195,325543,326422,325440,194671,197302,306439,196285,334944,325287,444355,194663,325538,13781,196790,326481,324982,444356,326446,444164,444248,326448,197828,195882,306436,11197,325470,306437,196684,444183,194268,444381,13948,325544}'::integer[]))
  • Filter: (((deleted_on IS NULL) OR (deleted_on > '2019-01-09 00:00:00-07'::timestamp with time zone)) AND (cid = 224))
  • Rows Removed by Filter: 1
  • Heap Blocks: exact=4725
19. 14.280 14.280 ↑ 4.8 421 35

Bitmap Index Scan on idx_maintenance_request_labors_company_employee_id (cost=0.00..164.41 rows=2,029 width=0) (actual time=0.408..0.408 rows=421 loops=35)

  • Index Cond: (company_employee_id = ANY ('{11196,204474,335400,325667,444283,325673,203706,194662,329592,444184,444274,444345,11195,325543,326422,325440,194671,197302,306439,196285,334944,325287,444355,194663,325538,13781,196790,326481,324982,444356,326446,444164,444248,326448,197828,195882,306436,11197,325470,306437,196684,444183,194268,444381,13948,325544}'::integer[]))
20. 102.900 102.900 ↑ 1.0 1 14,700

Index Scan using idx_company_employees_id on company_employees ce (cost=0.29..1.22 rows=1 width=15) (actual time=0.007..0.007 rows=1 loops=14,700)

  • Index Cond: (id = mrl.company_employee_id)
  • Filter: (cid = 224)
21. 191.100 191.100 ↑ 1.0 1 14,700

Index Scan using idx_maintenance_request_details_maintenance_request_id on maintenance_request_details mrd (cost=0.43..7.90 rows=1 width=105) (actual time=0.012..0.013 rows=1 loops=14,700)

  • Index Cond: (maintenance_request_id = mrl.maintenance_request_id)
  • Filter: ((cid = 224) AND (date(actual_start_datetime) >= '2013-01-01'::date) AND (date(actual_start_datetime) <= '2019-01-09'::date))
  • Rows Removed by Filter: 0
22. 219.450 219.450 ↑ 1.0 1 14,630

Index Scan using pk_maintenance_requests on maintenance_requests mr (cost=0.43..7.87 rows=1 width=44) (actual time=0.014..0.015 rows=1 loops=14,630)

  • Index Cond: ((cid = 224) AND (id = mrl.maintenance_request_id))
  • Filter: ((parent_maintenance_request_id IS NULL) AND ((deleted_on IS NULL) OR (deleted_on > '2019-01-09 00:00:00-07'::timestamp with time zone)) AND (maintenance_priority_id = ANY ('{2242,2241,2243,2244,2245,2246}'::integer[])) AND (ps_product_id = ANY ('{7,1,21981,56,14,46,3,34}'::integer[])) AND (maintenance_status_id = ANY ('{2241,2242,2243,114134,2244,2245,18346,18516,114242}'::integer[])))
  • Rows Removed by Filter: 0
23. 4.587 4.587 ↑ 1.0 1 417

Index Only Scan using pk_maintenance_request_types on maintenance_request_types mrt (cost=0.13..0.46 rows=1 width=4) (actual time=0.011..0.011 rows=1 loops=417)

  • Index Cond: ((id = mr.maintenance_request_type_id) AND (id = ANY ('{3,2,1}'::integer[])))
  • Heap Fetches: 417
24. 17.514 17.514 ↑ 1.0 1 417

Index Scan using pk_maintenance_request_labor_types on maintenance_request_labor_types mrlt (cost=0.13..0.16 rows=1 width=12) (actual time=0.042..0.042 rows=1 loops=417)

  • Index Cond: (id = mrl.maintenance_request_labor_type_id)
25. 3.753 3.753 ↑ 1.0 1 417

Index Scan using idx_maintenance_statuses_id on maintenance_statuses ms (cost=0.28..0.41 rows=1 width=17) (actual time=0.009..0.009 rows=1 loops=417)

  • Index Cond: (id = mr.maintenance_status_id)
  • Filter: (cid = 224)
26. 14.595 14.595 ↑ 1.0 1 417

Index Scan using pk_maintenance_problems on maintenance_problems mp (cost=0.29..4.61 rows=1 width=21) (actual time=0.035..0.035 rows=1 loops=417)

  • Index Cond: ((cid = 224) AND (id = mr.maintenance_problem_id))
  • Filter: ((maintenance_problem_id = ANY ('{98715,98718,121422,121360,464175,439218,98766,439222,98811,121373,121366,121363,98816,98826,108,98857,98862,98873,98884,121368,98915,98921,98734,498006,98928,497816,122733,499067,121364,121375,98946,482548,121350,98962,121367,95235,110965,121378,121365,279,99075,99079,132165,122434,99084,497997,99090,116185,121352,99101,99095}'::integer[])) OR (maintenance_problem_id IS NULL))
27. 5.421 5.421 ↑ 1.0 1 417

Index Scan using pk_maintenance_problems on maintenance_problems map (cost=0.29..5.08 rows=1 width=17) (actual time=0.013..0.013 rows=1 loops=417)

  • Index Cond: ((cid = mp.cid) AND (cid = 224) AND (id = mp.maintenance_problem_id))
  • Filter: (maintenance_problem_type_id = 2)
28. 2.085 2.085 ↑ 1.0 1 417

Index Scan using pk_maintenance_locations on maintenance_locations ml (cost=0.28..0.61 rows=1 width=22) (actual time=0.005..0.005 rows=1 loops=417)

  • Index Cond: ((cid = mr.cid) AND (cid = 224) AND (id = mr.maintenance_location_id))
29. 0.417 0.417 ↓ 0.0 0 417

Index Scan using pk_assets on assets a (cost=0.28..0.63 rows=1 width=18) (actual time=0.001..0.001 rows=0 loops=417)

  • Index Cond: ((cid = mr.cid) AND (cid = 224) AND (id = mr.asset_id))
30. 102.582 102.582 ↑ 1.0 1 417

Index Scan using pk_property_units on property_units pu (cost=0.29..5.78 rows=1 width=12) (actual time=0.246..0.246 rows=1 loops=417)

  • Index Cond: ((cid = mr.cid) AND (cid = 224) AND (id = mr.property_unit_id))
31. 23.352 23.352 ↑ 1.0 1 417

Index Scan using idx_property_buildings_id on property_buildings pb (cost=0.28..0.37 rows=1 width=11) (actual time=0.056..0.056 rows=1 loops=417)

  • Index Cond: (id = pu.property_building_id)
  • Filter: ((cid = 224) AND (cid = pu.cid))