explain.depesz.com

PostgreSQL's explain analyze made readable

Result: TeKs

Settings
# exclusive inclusive rows x rows loops node
1. 0.029 242.778 ↑ 2.0 1 1

Nested Loop Left Join (cost=19,065.81..24,471.53 rows=2 width=598) (actual time=242.773..242.778 rows=1 loops=1)

2. 0.014 242.748 ↑ 2.0 1 1

Nested Loop Left Join (cost=19,065.66..24,471.15 rows=2 width=594) (actual time=242.744..242.748 rows=1 loops=1)

3. 6.889 242.712 ↑ 2.0 1 1

Hash Right Join (cost=19,065.38..24,454.54 rows=2 width=558) (actual time=242.708..242.712 rows=1 loops=1)

  • Hash Cond: (sc.code = ai.sender_city_code)
4. 39.896 39.896 ↓ 1.0 59,916 1

Seq Scan on city sc (cost=0.00..5,091.52 rows=59,522 width=31) (actual time=0.025..39.896 rows=59,916 loops=1)

  • Filter: (lang = 'rus'::text)
  • Rows Removed by Filter: 115406
5. 0.010 195.927 ↑ 2.0 1 1

Hash (cost=19,065.36..19,065.36 rows=2 width=532) (actual time=195.927..195.927 rows=1 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 9kB
6. 7.058 195.917 ↑ 2.0 1 1

Hash Right Join (cost=13,676.20..19,065.36 rows=2 width=532) (actual time=195.913..195.917 rows=1 loops=1)

  • Hash Cond: (rc.code = ai.receiver_city_code)
7. 39.199 39.199 ↓ 1.0 59,916 1

Seq Scan on city rc (cost=0.00..5,091.52 rows=59,522 width=31) (actual time=0.034..39.199 rows=59,916 loops=1)

  • Filter: (lang = 'rus'::text)
  • Rows Removed by Filter: 115406
8. 0.007 149.660 ↑ 2.0 1 1

Hash (cost=13,676.18..13,676.18 rows=2 width=506) (actual time=149.660..149.660 rows=1 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 9kB
9. 0.005 149.653 ↑ 2.0 1 1

Nested Loop Left Join (cost=5,325.14..13,676.18 rows=2 width=506) (actual time=82.589..149.653 rows=1 loops=1)

10. 0.004 149.639 ↑ 1.0 1 1

Nested Loop Left Join (cost=5,324.86..13,675.87 rows=1 width=488) (actual time=82.576..149.639 rows=1 loops=1)

11. 0.007 149.617 ↑ 1.0 1 1

Nested Loop Left Join (cost=5,324.31..13,675.21 rows=1 width=472) (actual time=82.555..149.617 rows=1 loops=1)

12. 0.010 149.596 ↑ 1.0 1 1

Nested Loop Left Join (cost=5,323.89..13,666.77 rows=1 width=425) (actual time=82.535..149.596 rows=1 loops=1)

13. 0.016 149.551 ↑ 1.0 1 1

Nested Loop Left Join (cost=5,323.62..13,666.46 rows=1 width=410) (actual time=82.490..149.551 rows=1 loops=1)

14. 0.548 0.548 ↑ 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=0.545..0.548 rows=1 loops=1)

  • Filter: (download_code = 'fd1027b3-96c3-4a87-bc30-1e568bd34bbc'::text)
  • Rows Removed by Filter: 753
15. 51.491 148.987 ↑ 1.0 1 1

Hash Right Join (cost=5,323.34..13,533.04 rows=1 width=166) (actual time=81.932..148.987 rows=1 loops=1)

  • Hash Cond: (con.contragent_code = c.code)
16. 52.553 52.553 ↑ 1.0 292,549 1

Seq Scan on contract con (cost=0.00..7,110.41 rows=293,141 width=41) (actual time=0.066..52.553 rows=292,549 loops=1)

17. 0.006 44.943 ↑ 1.0 1 1

Hash (cost=5,323.33..5,323.33 rows=1 width=155) (actual time=44.943..44.943 rows=1 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 9kB
18. 6.536 44.937 ↑ 1.0 1 1

Hash Right Join (cost=8.59..5,323.33 rows=1 width=155) (actual time=24.009..44.937 rows=1 loops=1)

  • Hash Cond: (ci.code = c.city_code)
19. 38.372 38.372 ↓ 1.0 59,916 1

Seq Scan on city ci (cost=0.00..5,091.52 rows=59,522 width=36) (actual time=0.015..38.372 rows=59,916 loops=1)

  • Filter: (lang = 'rus'::text)
  • Rows Removed by Filter: 115406
20. 0.004 0.029 ↑ 1.0 1 1

Hash (cost=8.57..8.57 rows=1 width=122) (actual time=0.029..0.029 rows=1 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 9kB
21. 0.025 0.025 ↑ 1.0 1 1

Index Scan using contragent_idx_code on contragent c (cost=0.56..8.57 rows=1 width=122) (actual time=0.024..0.025 rows=1 loops=1)

  • Index Cond: (code = ai.payer_contragent_code)
22. 0.035 0.035 ↑ 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=0.035..0.035 rows=1 loops=1)

  • Index Cond: ((code = ci.country_code) AND (lang = 'rus'::text))
23. 0.014 0.014 ↑ 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=0.013..0.014 rows=1 loops=1)

  • Index Cond: ((ai.user_code = code) AND (lang = 'rus'::text))
24. 0.018 0.018 ↓ 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=0.018..0.018 rows=0 loops=1)

  • Index Cond: (c.code = contragent_code)
25. 0.009 0.009 ↑ 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=0.008..0.009 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=0.022..0.022 rows=1 loops=1)

  • Index Cond: ((code = ai.order_service_code) AND (lang = 'rus'::text))
27. 0.001 0.001 ↓ 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=0.001..0.001 rows=0 loops=1)

  • Index Cond: ((code = p.phone_type_alias) AND (lang = 'rus'::text))
Planning time : 7.772 ms
Execution time : 243.306 ms