explain.depesz.com

PostgreSQL's explain analyze made readable

Result: Bqv8

Settings
# exclusive inclusive rows x rows loops node
1. 2.140 464.067 ↓ 711.0 711 1

Sort (cost=4,735.13..4,735.13 rows=1 width=713) (actual time=464.039..464.067 rows=711 loops=1)

  • Sort Key: t4.open DESC, t4.term_score DESC, t4.merchant_short_id
  • Sort Method: quicksort Memory: 703kB
2. 0.142 461.927 ↓ 711.0 711 1

Subquery Scan on t4 (cost=4,734.90..4,735.12 rows=1 width=713) (actual time=461.301..461.927 rows=711 loops=1)

  • Filter: (t4.catalog_items_rn <= 100)
  • Rows Removed by Filter: 36
3. 0.452 461.785 ↓ 747.0 747 1

WindowAgg (cost=4,734.90..4,735.02 rows=1 width=757) (actual time=461.299..461.785 rows=747 loops=1)

4. 0.836 461.333 ↓ 747.0 747 1

Sort (cost=4,734.90..4,734.90 rows=1 width=615) (actual time=461.294..461.333 rows=747 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: 727kB
5. 1.218 460.497 ↓ 747.0 747 1

Nested Loop (cost=940.14..4,734.89 rows=1 width=615) (actual time=154.966..460.497 rows=747 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. 0.579 459.275 ↓ 106.7 747 1

Nested Loop (cost=940.14..4,734.08 rows=7 width=736) (actual time=154.956..459.275 rows=747 loops=1)

8. 0.073 133.004 ↓ 13.8 249 1

Subquery Scan on t2 (cost=720.13..732.96 rows=18 width=444) (actual time=132.050..133.004 rows=249 loops=1)

  • Filter: (t2.group_rn <= 1)
  • Rows Removed by Filter: 5
9. 0.798 132.931 ↓ 4.7 254 1

WindowAgg (cost=720.13..727.42 rows=54 width=501) (actual time=132.049..132.931 rows=254 loops=1)

10. 0.582 132.133 ↓ 4.7 254 1

Sort (cost=720.13..720.27 rows=54 width=428) (actual time=132.041..132.133 rows=254 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: 199kB
11. 0.397 131.551 ↓ 4.7 254 1

Nested Loop (cost=119.49..718.58 rows=54 width=428) (actual time=124.493..131.551 rows=254 loops=1)

12. 0.377 129.884 ↓ 4.7 254 1

Nested Loop Left Join (cost=119.23..707.11 rows=54 width=602) (actual time=124.282..129.884 rows=254 loops=1)

  • Filter: COALESCE((true), false)
  • Rows Removed by Filter: 353
13. 0.368 127.079 ↓ 5.6 607 1

Nested Loop (cost=118.79..606.79 rows=108 width=601) (actual time=124.230..127.079 rows=607 loops=1)

14. 0.098 124.563 ↓ 6.6 716 1

Subquery Scan on t (cost=118.38..130.09 rows=108 width=30) (actual time=124.219..124.563 rows=716 loops=1)

  • Filter: (t.mode <> 'EXCLUSION'::delivery_mode)
  • Rows Removed by Filter: 19
15. 0.147 124.465 ↓ 6.7 735 1

Unique (cost=118.38..118.92 rows=109 width=46) (actual time=124.218..124.465 rows=735 loops=1)

16. 0.403 124.318 ↓ 6.8 745 1

Sort (cost=118.38..118.65 rows=109 width=46) (actual time=124.217..124.318 rows=745 loops=1)

  • Sort Key: dels.owner_id, ((dels.mode <> 'EXCLUSION'::delivery_mode)), dels.zipcode COLLATE "C", dels.priority
  • Sort Method: quicksort Memory: 83kB
17. 0.273 123.915 ↓ 6.8 745 1

Nested Loop (cost=0.98..114.69 rows=109 width=46) (actual time=1.922..123.915 rows=745 loops=1)

18. 121.010 121.010 ↓ 658.0 658 1

Index Scan using polygons_geom_idx on polygons pol (cost=0.55..4.90 rows=1 width=16) (actual time=1.912..121.010 rows=658 loops=1)

  • Index Cond: (geom && '0101000020E61000008EDF2582828647C06D945055FCDA36C0'::geometry)
  • Filter: _st_intersects(geom, '0101000020E61000008EDF2582828647C06D945055FCDA36C0'::geometry)
  • Rows Removed by Filter: 226
19. 2.632 2.632 ↑ 110.0 1 658

Index Scan using deliveries_pol_id_idx on deliveries dels (cost=0.43..98.51 rows=110 width=61) (actual time=0.004..0.004 rows=1 loops=658)

  • Index Cond: (pol_id = pol.pol_id)
20. 2.148 2.148 ↑ 1.0 1 716

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=716)

  • Index Cond: (merchant_id = t.owner_id)
21. 2.428 2.428 ↓ 0.0 0 607

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=607)

  • 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: 319
22. 1.270 1.270 ↑ 1.0 1 254

Function Scan on round d (cost=0.26..0.36 rows=1 width=32) (actual time=0.005..0.005 rows=1 loops=254)

23. 26.892 325.692 ↓ 3.0 3 249

Bitmap Heap Scan on catalog_items catalog_item (cost=220.00..222.18 rows=1 width=724) (actual time=1.219..1.308 rows=3 loops=249)

  • 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=565
24. 298.800 298.800 ↓ 3.0 3 249

Bitmap Index Scan on catalog_items_merchant_short_id_fts_idx (cost=0.00..220.00 rows=1 width=0) (actual time=1.200..1.200 rows=3 loops=249)

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