explain.depesz.com

PostgreSQL's explain analyze made readable

Result: FUg

Settings

Optimization(s) for this plan:

# exclusive inclusive rows x rows loops node
1. 0.000 0.502 ↑ 1.0 1 1

Subquery Scan on results (cost=116.39..116.43 rows=1 width=96) (actual time=0.501..0.502 rows=1 loops=1)

2. 0.091 0.502 ↑ 1.0 1 1

CTE Scan on candidates (cost=116.39..116.42 rows=1 width=98) (actual time=0.501..0.502 rows=1 loops=1)

  • Filter: ($6 = special_airport)
  • Rows Removed by Filter: 1
3.          

CTE candidates

4. 0.385 0.433 ↓ 2.0 2 1

Index Scan using travel_cancellation_option_ma_partner_id_site_id_country_fa_idx on travel_cancellation_option_mapping tcom (cost=0.28..99.41 rows=1 width=133) (actual time=0.086..0.433 rows=2 loops=1)

  • Index Cond: ((partner_id = '1'::text) AND (site_id = '1'::text) AND (country = 'JP'::text) AND ((currency)::text = 'JPY'::text) AND (price_band_1_item_count = 1) AND ('20000'::numeric >= price_band_1_price_start) AND ('20000'::numeric <= price_band_1_price_end) AND (price_band_2_item_count = 1) AND ('10000'::numeric >= price_band_2_price_start) AND ('10000'::numeric <= price_band_2_price_end))
  • Filter: (((allowed_airports IS NULL) OR ('{NRT,OKA}'::text[] <@ allowed_airports)) AND ((fare_class = 'SV21A'::text) OR (fare_class = (SubPlan 1))))
  • Rows Removed by Filter: 2
5.          

SubPlan (forIndex Scan)

6. 0.048 0.048 ↓ 0.0 0 4

Index Scan using fare_class_aliases_alias_idx on fare_class_aliases (cost=0.41..8.43 rows=1 width=9) (actual time=0.012..0.012 rows=0 loops=4)

  • Index Cond: ((mapping_id = tcom.id) AND (alias = 'SV21A'::text))
  • Filter: (NOT is_deleted)
7.          

Initplan (forCTE Scan)

8. 0.005 0.411 ↑ 1.0 1 1

Aggregate (cost=16.97..16.99 rows=1 width=1) (actual time=0.411..0.411 rows=1 loops=1)

9. 0.001 0.406 ↓ 2.0 2 1

Nested Loop (cost=0.41..16.97 rows=1 width=33) (actual time=0.031..0.406 rows=2 loops=1)

10. 0.353 0.353 ↓ 2.0 2 1

CTE Scan on candidates candidates_1 (cost=0.00..0.02 rows=1 width=32) (actual time=0.001..0.353 rows=2 loops=1)

11. 0.008 0.052 ↑ 2.0 1 2

Nested Loop (cost=0.41..16.93 rows=2 width=66) (actual time=0.025..0.026 rows=1 loops=2)

12. 0.008 0.008 ↑ 1.0 2 2

Values Scan on "*VALUES*" (cost=0.00..0.03 rows=2 width=40) (actual time=0.004..0.004 rows=2 loops=2)

13. 0.036 0.036 ↓ 0.0 0 4

Index Scan using special_airports_mapping_id_code_start_day_start_month_end__idx on special_airports sa (cost=0.41..8.44 rows=1 width=86) (actual time=0.009..0.009 rows=0 loops=4)

  • Index Cond: ((mapping_id = candidates_1.id) AND (code = "*VALUES*".column1) AND (start_day <= "*VALUES*".column2) AND (start_month <= "*VALUES*".column3) AND (end_day >= "*VALUES*".column2) AND (end_month >= "*VALUES*".column3))