explain.depesz.com

PostgreSQL's explain analyze made readable

Result: 9ydx

Settings
# exclusive inclusive rows x rows loops node
1. 0.244 27.425 ↓ 18.4 202 1

Limit (cost=1,250.86..1,250.89 rows=11 width=8,559) (actual time=27.029..27.425 rows=202 loops=1)

2. 2.050 27.181 ↓ 18.4 202 1

Sort (cost=1,250.86..1,250.89 rows=11 width=8,559) (actual time=27.026..27.181 rows=202 loops=1)

  • Sort Key: retailer_term_v2s.score DESC NULLS LAST, generic_term_v2s.score DESC NULLS LAST, ((((ts_rank(items_0.full_text_v2, '''appl'''::tsquery, 1) * '100'::double precision) + (COALESCE(products_conversions.score, '0'::double precision) * '1000'::double precision)) * '1'::double precision)) DESC, items_0.item_id DESC
  • Sort Method: quicksort Memory: 1,496kB
3. 3.496 25.131 ↓ 18.4 202 1

WindowAgg (cost=457.08..1,250.67 rows=11 width=8,559) (actual time=23.924..25.131 rows=202 loops=1)

4. 0.787 21.635 ↓ 18.4 202 1

Nested Loop Left Join (cost=457.08..1,250.31 rows=11 width=8,434) (actual time=4.332..21.635 rows=202 loops=1)

5. 0.712 19.232 ↓ 18.4 202 1

Nested Loop Left Join (cost=456.38..1,218.13 rows=11 width=8,426) (actual time=4.313..19.232 rows=202 loops=1)

6. 0.648 17.106 ↓ 18.4 202 1

Nested Loop Left Join (cost=455.67..1,185.96 rows=11 width=8,418) (actual time=4.293..17.106 rows=202 loops=1)

7. 0.776 15.044 ↓ 18.4 202 1

Nested Loop Left Join (cost=455.11..1,155.31 rows=11 width=8,410) (actual time=4.271..15.044 rows=202 loops=1)

8. 0.683 13.056 ↓ 18.4 202 1

Nested Loop Left Join (cost=454.55..1,124.62 rows=11 width=5,046) (actual time=4.254..13.056 rows=202 loops=1)

9. 0.657 11.363 ↓ 18.4 202 1

Nested Loop Left Join (cost=454.11..1,095.38 rows=11 width=5,013) (actual time=4.239..11.363 rows=202 loops=1)

10. 0.832 9.696 ↓ 18.4 202 1

Nested Loop (cost=453.67..1,066.15 rows=11 width=4,175) (actual time=4.221..9.696 rows=202 loops=1)

11. 0.666 7.450 ↓ 7.2 202 1

Nested Loop Left Join (cost=453.23..991.74 rows=28 width=1,212) (actual time=4.199..7.450 rows=202 loops=1)

  • Filter: (COALESCE(items_availabilities.availability_score, '0.87'::double precision) > '0.5'::double precision)
12. 2.019 5.976 ↓ 2.4 202 1

Bitmap Heap Scan on items_0 (cost=452.67..759.13 rows=83 width=1,204) (actual time=4.180..5.976 rows=202 loops=1)

  • Recheck Cond: ((full_text_v2 @@ '''appl'''::tsquery) AND (inventory_area_id = 32))
  • Filter: (visible AND available AND (NOT alcoholic))
  • Rows Removed by Filter: 868
  • Heap Blocks: exact=1,005
13. 3.957 3.957 ↓ 3.9 1,070 1

Bitmap Index Scan on search_index_v2_items_0 (cost=0.00..452.65 rows=275 width=0) (actual time=3.956..3.957 rows=1,070 loops=1)

  • Index Cond: ((full_text_v2 @@ '''appl'''::tsquery) AND (inventory_area_id = 32))
14. 0.808 0.808 ↓ 0.0 0 202

Index Scan using items_availabilities_0_item_id_idx on items_availabilities_0 items_availabilities (cost=0.57..2.79 rows=1 width=20) (actual time=0.004..0.004 rows=0 loops=202)

  • Index Cond: (item_id = items_0.item_id)
  • Filter: ((inventory_area_id = 32) AND (inventory_area_id = items_0.inventory_area_id))
15. 1.414 1.414 ↑ 1.0 1 202

Index Scan using index_retailer_products_on_retailer_id_and_product_id on retailer_products (cost=0.44..2.66 rows=1 width=2,963) (actual time=0.007..0.007 rows=1 loops=202)

  • Index Cond: ((retailer_id = items_0.retailer_id) AND (product_id = items_0.product_id))
16. 1.010 1.010 ↑ 1.0 1 202

Index Scan using index_deprecated_retailer_products_mls_cpk on deprecated_retailer_products_mls (cost=0.44..2.66 rows=1 width=846) (actual time=0.005..0.005 rows=1 loops=202)

  • Index Cond: ((retailer_id = items_0.retailer_id) AND (product_id = items_0.product_id))
17. 1.010 1.010 ↑ 1.0 1 202

Index Scan using index_deprecated_retailer_products_cpgs_cpk on deprecated_retailer_products_cpgs (cost=0.44..2.66 rows=1 width=41) (actual time=0.005..0.005 rows=1 loops=202)

  • Index Cond: ((retailer_id = items_0.retailer_id) AND (product_id = items_0.product_id))
18. 1.212 1.212 ↑ 1.0 1 202

Index Scan using deprecated_items_denormalized_retailer_id_product_id_invent_idx on deprecated_items_denormalizeds_0 (cost=0.56..2.79 rows=1 width=3,364) (actual time=0.006..0.006 rows=1 loops=202)

  • Index Cond: ((retailer_id = items_0.retailer_id) AND (product_id = items_0.product_id) AND (inventory_area_id = items_0.inventory_area_id) AND (inventory_area_id = 32))
19. 1.414 1.414 ↓ 0.0 0 202

Index Scan using index_products_conversions_on_cpk on products_conversions (cost=0.56..2.79 rows=1 width=12) (actual time=0.007..0.007 rows=0 loops=202)

  • Index Cond: ((version = 3) AND (product_id = items_0.product_id) AND ((query)::text = 'apple'::text))
20. 1.414 1.414 ↓ 0.0 0 202

Index Scan using index_retailer_products_term_v2s_on_natural_key on retailer_products_term_v2s retailer_term_v2s (cost=0.70..2.92 rows=1 width=16) (actual time=0.007..0.007 rows=0 loops=202)

  • Index Cond: ((term = 'apple'::text) AND (retailer_id = items_0.retailer_id) AND (product_id = items_0.product_id))
21. 1.616 1.616 ↑ 1.0 1 202

Index Scan using index_retailer_products_term_v2s_on_natural_key on retailer_products_term_v2s generic_term_v2s (cost=0.70..2.92 rows=1 width=12) (actual time=0.008..0.008 rows=1 loops=202)

  • Index Cond: ((term = 'apple'::text) AND (retailer_id = '-1'::integer) AND (product_id = items_0.product_id))
Planning time : 16.875 ms
Execution time : 28.171 ms