explain.depesz.com

PostgreSQL's explain analyze made readable

Result: JEI1

Settings
# exclusive inclusive rows x rows loops node
1. 2.532 352.876 ↓ 821.0 821 1

Sort (cost=3,583.16..3,583.16 rows=1 width=714) (actual time=352.843..352.876 rows=821 loops=1)

  • Sort Key: t4.open DESC, t4.term_score DESC, t4.merchant_short_id
  • Sort Method: quicksort Memory: 834kB
2. 0.158 350.344 ↓ 821.0 821 1

Subquery Scan on t4 (cost=3,582.92..3,583.15 rows=1 width=714) (actual time=349.638..350.344 rows=821 loops=1)

  • Filter: (t4.catalog_items_rn <= 100)
  • Rows Removed by Filter: 36
3. 0.510 350.186 ↓ 857.0 857 1

WindowAgg (cost=3,582.92..3,583.04 rows=1 width=758) (actual time=349.636..350.186 rows=857 loops=1)

4. 0.872 349.676 ↓ 857.0 857 1

Sort (cost=3,582.92..3,582.93 rows=1 width=616) (actual time=349.627..349.676 rows=857 loops=1)

  • Sort Key: t2.merchant_id, (NULLIF((ts_rank_cd(catalog_item.fts, q.tsquery))::double precision, '0'::double precision))
  • Sort Method: quicksort Memory: 851kB
5. 1.335 348.804 ↓ 857.0 857 1

Nested Loop (cost=876.16..3,582.91 rows=1 width=616) (actual time=131.005..348.804 rows=857 loops=1)

6. 0.004 0.004 ↑ 1.0 1 1

Function Scan on q (cost=0.00..0.10 rows=1 width=32) (actual time=0.003..0.004 rows=1 loops=1)

7. 0.671 347.465 ↓ 122.4 857 1

Nested Loop (cost=876.16..3,582.11 rows=7 width=737) (actual time=130.994..347.465 rows=857 loops=1)

8. 0.059 126.546 ↓ 15.3 276 1

Subquery Scan on t2 (cost=720.16..732.98 rows=18 width=445) (actual time=125.684..126.546 rows=276 loops=1)

  • Filter: (t2.group_rn <= 1)
  • Rows Removed by Filter: 6
9. 0.725 126.487 ↓ 5.2 282 1

WindowAgg (cost=720.16..727.45 rows=54 width=502) (actual time=125.684..126.487 rows=282 loops=1)

10. 0.626 125.762 ↓ 5.2 282 1

Sort (cost=720.16..720.29 rows=54 width=429) (actual time=125.675..125.762 rows=282 loops=1)

  • Sort Key: merc.group_id, (COALESCE((true), false)) DESC, d.distance, t.delivery_fee, (((merc.evaluations #>> '{IFOOD,avg}'::text[]))::real) DESC, merc.merchant_short_id
  • Sort Method: quicksort Memory: 219kB
11. 0.385 125.136 ↓ 5.2 282 1

Nested Loop (cost=119.49..718.60 rows=54 width=429) (actual time=118.002..125.136 rows=282 loops=1)

12. 0.301 123.341 ↓ 5.2 282 1

Nested Loop Left Join (cost=119.23..707.14 rows=54 width=602) (actual time=117.824..123.341 rows=282 loops=1)

  • Filter: COALESCE((true), false)
  • Rows Removed by Filter: 326
13. 0.338 120.608 ↓ 5.6 608 1

Nested Loop (cost=118.79..606.79 rows=108 width=601) (actual time=117.786..120.608 rows=608 loops=1)

14. 0.098 118.119 ↓ 6.6 717 1

Subquery Scan on t (cost=118.38..130.09 rows=108 width=30) (actual time=117.773..118.119 rows=717 loops=1)

  • Filter: (t.mode <> 'EXCLUSION'::delivery_mode)
  • Rows Removed by Filter: 19
15. 0.149 118.021 ↓ 6.8 736 1

Unique (cost=118.38..118.92 rows=109 width=46) (actual time=117.772..118.021 rows=736 loops=1)

16. 0.456 117.872 ↓ 6.8 746 1

Sort (cost=118.38..118.65 rows=109 width=46) (actual time=117.771..117.872 rows=746 loops=1)

  • Sort Key: dels.owner_id, ((dels.mode <> 'EXCLUSION'::delivery_mode)), dels.zipcode COLLATE "C", dels.priority
  • Sort Method: quicksort Memory: 83kB
17. 0.184 117.416 ↓ 6.8 746 1

Nested Loop (cost=0.98..114.69 rows=109 width=46) (actual time=0.352..117.416 rows=746 loops=1)

18. 113.937 113.937 ↓ 659.0 659 1

Index Scan using polygons_geom_idx on polygons pol (cost=0.55..4.90 rows=1 width=16) (actual time=0.339..113.937 rows=659 loops=1)

  • Index Cond: (geom && '0101000020E61000008EDF2582828647C06D945055FCDA36C0'::geometry)
  • Filter: _st_intersects(geom, '0101000020E61000008EDF2582828647C06D945055FCDA36C0'::geometry)
  • Rows Removed by Filter: 226
19. 3.295 3.295 ↑ 110.0 1 659

Index Scan using deliveries_pol_id_idx on deliveries dels (cost=0.43..98.51 rows=110 width=61) (actual time=0.004..0.005 rows=1 loops=659)

  • Index Cond: (pol_id = pol.pol_id)
20. 2.151 2.151 ↑ 1.0 1 717

Index Scan using merchants_pkey on merchants merc (cost=0.42..4.41 rows=1 width=587) (actual time=0.003..0.003 rows=1 loops=717)

  • Index Cond: (merchant_id = t.owner_id)
21. 2.432 2.432 ↓ 0.0 0 608

Index Only Scan using merchant_shifts_pkey on merchant_shifts shift (cost=0.43..0.83 rows=1 width=31) (actual time=0.004..0.004 rows=0 loops=608)

  • Index Cond: ((merchant_short_id = merc.merchant_short_id) AND (dow = (date_part('dow'::text, timezone((merc.timezone)::text, now())))::integer))
  • Filter: (shift_range @> timerange((timezone((merc.timezone)::text, now()))::time without time zone, (timezone((merc.timezone)::text, now()))::time without time zone, '[]'::text))
  • Rows Removed by Filter: 0
  • Heap Fetches: 328
22. 1.410 1.410 ↑ 1.0 1 282

Function Scan on round d (cost=0.26..0.36 rows=1 width=32) (actual time=0.005..0.005 rows=1 loops=282)

23. 1.932 220.248 ↓ 3.0 3 276

Bitmap Heap Scan on catalog_items catalog_item (cost=156.00..158.18 rows=1 width=724) (actual time=0.794..0.798 rows=3 loops=276)

  • Recheck Cond: ((merchant_short_id = t2.merchant_short_id) AND (fts @@@ q.tsquery))
  • Filter: (((range_of_times IS NULL) OR ((timezone((t2.timezone)::text, to_timestamp((trunc((date_part('epoch'::text, now()) / '900'::double precision)) * '900'::double precision))))::time without time zone = ANY (range_of_times))) AND (date_part('dow'::text, now()) = ANY ((COALESCE(days, '{0,1,2,3,4,5,6}'::integer[]))::double precision[])))
  • Rows Removed by Filter: 0
  • Heap Blocks: exact=637
24. 218.316 218.316 ↓ 3.0 3 276

Bitmap Index Scan on catalog_items_merchant_short_id_fts_idx (cost=0.00..156.00 rows=1 width=0) (actual time=0.791..0.791 rows=3 loops=276)

  • Index Cond: ((merchant_short_id = t2.merchant_short_id) AND (fts @@@ q.tsquery))