explain.depesz.com

PostgreSQL's explain analyze made readable

Result: TPY9

Settings
# exclusive inclusive rows x rows loops node
1. 0.028 288.690 ↑ 2.0 1 1

Nested Loop Left Join (cost=19,065.81..24,471.53 rows=2 width=598) (actual time=288.684..288.690 rows=1 loops=1)

2. 0.013 288.662 ↑ 2.0 1 1

Nested Loop Left Join (cost=19,065.66..24,471.15 rows=2 width=594) (actual time=288.657..288.662 rows=1 loops=1)

3. 6.682 288.627 ↑ 2.0 1 1

Hash Right Join (cost=19,065.38..24,454.54 rows=2 width=558) (actual time=288.623..288.627 rows=1 loops=1)

  • Hash Cond: (sc.code = ai.sender_city_code)
4. 36.851 36.851 ↓ 1.0 59,916 1

Seq Scan on city sc (cost=0.00..5,091.52 rows=59,522 width=31) (actual time=0.020..36.851 rows=59,916 loops=1)

  • Filter: (lang = 'rus'::text)
  • Rows Removed by Filter: 115406
5. 0.053 245.094 ↑ 2.0 1 1

Hash (cost=19,065.36..19,065.36 rows=2 width=532) (actual time=245.094..245.094 rows=1 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 9kB
6. 6.448 245.041 ↑ 2.0 1 1

Hash Right Join (cost=13,676.20..19,065.36 rows=2 width=532) (actual time=245.038..245.041 rows=1 loops=1)

  • Hash Cond: (rc.code = ai.receiver_city_code)
7. 35.973 35.973 ↓ 1.0 59,916 1

Seq Scan on city rc (cost=0.00..5,091.52 rows=59,522 width=31) (actual time=0.037..35.973 rows=59,916 loops=1)

  • Filter: (lang = 'rus'::text)
  • Rows Removed by Filter: 115406
8. 0.009 202.620 ↑ 2.0 1 1

Hash (cost=13,676.18..13,676.18 rows=2 width=506) (actual time=202.619..202.620 rows=1 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 9kB
9. 0.020 202.611 ↑ 2.0 1 1

Nested Loop Left Join (cost=5,325.14..13,676.18 rows=2 width=506) (actual time=115.520..202.611 rows=1 loops=1)

10. 0.005 202.577 ↑ 1.0 1 1

Nested Loop Left Join (cost=5,324.86..13,675.87 rows=1 width=488) (actual time=115.488..202.577 rows=1 loops=1)

11. 0.005 202.533 ↑ 1.0 1 1

Nested Loop Left Join (cost=5,324.31..13,675.21 rows=1 width=472) (actual time=115.444..202.533 rows=1 loops=1)

12. 0.008 202.513 ↑ 1.0 1 1

Nested Loop Left Join (cost=5,323.89..13,666.77 rows=1 width=425) (actual time=115.425..202.513 rows=1 loops=1)

13. 0.006 202.479 ↑ 1.0 1 1

Nested Loop Left Join (cost=5,323.62..13,666.46 rows=1 width=410) (actual time=115.392..202.479 rows=1 loops=1)

14. 0.580 0.580 ↑ 1.0 1 1

Index Scan using additional_information_reciever_city_code_idx on additional_information ai (cost=0.28..133.41 rows=1 width=244) (actual time=0.577..0.580 rows=1 loops=1)

  • Filter: (download_code = 'fd1027b3-96c3-4a87-bc30-1e568bd34bbc'::text)
  • Rows Removed by Filter: 753
15. 76.351 201.893 ↑ 1.0 1 1

Hash Right Join (cost=5,323.34..13,533.04 rows=1 width=166) (actual time=114.809..201.893 rows=1 loops=1)

  • Hash Cond: (con.contragent_code = c.code)
16. 69.961 69.961 ↑ 1.0 292,549 1

Seq Scan on contract con (cost=0.00..7,110.41 rows=293,141 width=41) (actual time=0.089..69.961 rows=292,549 loops=1)

17. 0.006 55.581 ↑ 1.0 1 1

Hash (cost=5,323.33..5,323.33 rows=1 width=155) (actual time=55.581..55.581 rows=1 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 9kB
18. 8.964 55.575 ↑ 1.0 1 1

Hash Right Join (cost=8.59..5,323.33 rows=1 width=155) (actual time=26.755..55.575 rows=1 loops=1)

  • Hash Cond: (ci.code = c.city_code)
19. 46.571 46.571 ↓ 1.0 59,916 1

Seq Scan on city ci (cost=0.00..5,091.52 rows=59,522 width=36) (actual time=0.021..46.571 rows=59,916 loops=1)

  • Filter: (lang = 'rus'::text)
  • Rows Removed by Filter: 115406
20. 0.014 0.040 ↑ 1.0 1 1

Hash (cost=8.57..8.57 rows=1 width=122) (actual time=0.040..0.040 rows=1 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 9kB
21. 0.026 0.026 ↑ 1.0 1 1

Index Scan using contragent_idx_code on contragent c (cost=0.56..8.57 rows=1 width=122) (actual time=0.025..0.026 rows=1 loops=1)

  • Index Cond: (code = ai.payer_contragent_code)
22. 0.026 0.026 ↑ 1.0 1 1

Index Scan using country_code_lang_key on country co (cost=0.28..0.30 rows=1 width=17) (actual time=0.024..0.026 rows=1 loops=1)

  • Index Cond: ((code = ci.country_code) AND (lang = 'rus'::text))
23. 0.015 0.015 ↑ 1.0 1 1

Index Scan using users_catalog_code_lang_key on users_catalog uc (cost=0.41..8.43 rows=1 width=52) (actual time=0.015..0.015 rows=1 loops=1)

  • Index Cond: ((ai.user_code = code) AND (lang = 'rus'::text))
24. 0.039 0.039 ↓ 0.0 0 1

Index Scan using phone_contragent_code_index on phone p (cost=0.56..0.64 rows=1 width=48) (actual time=0.039..0.039 rows=0 loops=1)

  • Index Cond: (c.code = contragent_code)
25. 0.014 0.014 ↑ 1.0 1 1

Index Scan using region_code_lang_key on region r (cost=0.28..0.30 rows=1 width=21) (actual time=0.013..0.014 rows=1 loops=1)

  • Index Cond: ((ci.region_code = code) AND (lang = 'rus'::text))
26. 0.022 0.022 ↑ 1.0 1 1

Index Scan using tariff_type_code_lang_key on tariff_type tt (cost=0.28..8.30 rows=1 width=39) (actual time=0.021..0.022 rows=1 loops=1)

  • Index Cond: ((code = ai.order_service_code) AND (lang = 'rus'::text))
27. 0.000 0.000 ↓ 0.0 0 1

Index Scan using phone_type_code_lang_key on phone_type pt (cost=0.15..0.17 rows=1 width=64) (actual time=0.000..0.000 rows=0 loops=1)

  • Index Cond: ((code = p.phone_type_alias) AND (lang = 'rus'::text))
Planning time : 5.828 ms
Execution time : 289.097 ms