explain.depesz.com

PostgreSQL's explain analyze made readable

Result: du9

Settings
# exclusive inclusive rows x rows loops node
1. 0.101 22,198.894 ↑ 1.0 50 1

Limit (cost=1,574,564.84..1,574,564.97 rows=50 width=1,680) (actual time=22,198.743..22,198.894 rows=50 loops=1)

2.          

CTE infra_col_data

3. 176.876 2,362.836 ↓ 6.2 82,454 1

Unique (cost=28,049.08..28,115.42 rows=13,267 width=174) (actual time=2,063.754..2,362.836 rows=82,454 loops=1)

4. 269.002 2,185.960 ↓ 6.4 84,268 1

Sort (cost=28,049.08..28,082.25 rows=13,267 width=174) (actual time=2,063.751..2,185.960 rows=84,268 loops=1)

  • Sort Key: po_infra_instan.id_infra_instan
  • Sort Method: external merge Disk: 11520kB
5. 218.207 1,916.958 ↓ 6.4 84,268 1

Hash Join (cost=10,514.34..27,140.59 rows=13,267 width=174) (actual time=989.631..1,916.958 rows=84,268 loops=1)

  • Hash Cond: (po_infra_instan.id_infra_instan = po_proj_sub_infra.id_infra_instan)
6. 349.958 709.613 ↓ 1.5 84,771 1

Hash Join (cost=20.84..15,583.75 rows=57,272 width=162) (actual time=0.244..709.613 rows=84,771 loops=1)

  • Hash Cond: (po_infra_instan.id_connector_details = po_connector_details.id_connector_details)
7. 359.470 359.470 ↑ 1.0 274,442 1

Seq Scan on po_infra_instan (cost=0.00..13,960.92 rows=274,472 width=162) (actual time=0.017..359.470 rows=274,442 loops=1)

  • Filter: (NOT bl_marked_for_deletion)
  • Rows Removed by Filter: 233
8. 0.059 0.185 ↑ 1.0 53 1

Hash (cost=20.18..20.18 rows=53 width=4) (actual time=0.184..0.185 rows=53 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 10kB
9. 0.126 0.126 ↑ 1.0 53 1

Seq Scan on po_connector_details (cost=0.00..20.18 rows=53 width=4) (actual time=0.007..0.126 rows=53 loops=1)

  • Filter: (id_enterprise = 83)
  • Rows Removed by Filter: 202
10. 95.505 989.138 ↓ 1.3 84,697 1

Hash (cost=9,698.11..9,698.11 rows=63,631 width=16) (actual time=989.137..989.138 rows=84,697 loops=1)

  • Buckets: 131072 (originally 65536) Batches: 2 (originally 1) Memory Usage: 3073kB
11. 361.249 893.633 ↓ 1.3 84,697 1

Hash Join (cost=3,538.13..9,698.11 rows=63,631 width=16) (actual time=270.239..893.633 rows=84,697 loops=1)

  • Hash Cond: (po_proj_sub_infra.id_project_sub = po_project_sub.id_project_sub)
12. 262.409 262.409 ↓ 1.0 274,533 1

Seq Scan on po_proj_sub_infra (cost=0.00..4,494.22 rows=274,522 width=8) (actual time=0.008..262.409 rows=274,533 loops=1)

13. 10.450 269.975 ↑ 2.1 9,532 1

Hash (cost=3,291.11..3,291.11 rows=19,762 width=12) (actual time=269.974..269.975 rows=9,532 loops=1)

  • Buckets: 32768 Batches: 1 Memory Usage: 666kB
14. 95.213 259.525 ↑ 2.1 9,532 1

Hash Join (cost=989.16..3,291.11 rows=19,762 width=12) (actual time=82.853..259.525 rows=9,532 loops=1)

  • Hash Cond: (po_project_sub.id_project = po_project.id_project)
15. 81.489 81.489 ↓ 1.0 85,261 1

Seq Scan on po_project_sub (cost=0.00..1,784.60 rows=85,260 width=8) (actual time=0.007..81.489 rows=85,261 loops=1)

16. 12.800 82.823 ↓ 1.8 12,498 1

Hash (cost=904.15..904.15 rows=6,801 width=8) (actual time=82.822..82.823 rows=12,498 loops=1)

  • Buckets: 16384 (originally 8192) Batches: 1 (originally 1) Memory Usage: 617kB
17. 41.607 70.023 ↓ 1.8 12,498 1

Hash Join (cost=27.69..904.15 rows=6,801 width=8) (actual time=0.770..70.023 rows=12,498 loops=1)

  • Hash Cond: (po_project.id_organization = org.id_organization)
18. 28.216 28.216 ↓ 1.0 29,343 1

Seq Scan on po_project (cost=0.00..698.42 rows=29,342 width=8) (actual time=0.005..28.216 rows=29,343 loops=1)

19. 0.074 0.200 ↑ 1.0 70 1

Hash (cost=26.81..26.81 rows=70 width=4) (actual time=0.199..0.200 rows=70 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 11kB
20. 0.126 0.126 ↑ 1.0 70 1

Index Only Scan using po_organization_pkey on po_organization org (cost=0.15..26.81 rows=70 width=4) (actual time=0.006..0.126 rows=70 loops=1)

  • Index Cond: (id_organization = ANY ('{126,133,190,191,192,193,194,195,196,197,198,199,203,204,211,272,287,288,289,290,291,292,293,331,333,337,338,339,340,341,342,347,349,350,351,352,353,354,355,356,361,362,363,366,367,368,369,373,374,375,376,377,378,379,380,381,382,383,384,385,386,396,397,398,399,400,401,402,403,424}'::integer[]))
  • Heap Fetches: 70
21. 3,429.412 22,198.793 ↑ 337.6 50 1

Sort (cost=1,546,449.43..1,546,491.63 rows=16,882 width=1,680) (actual time=22,198.738..22,198.793 rows=50 loops=1)

  • Sort Key: _req.id_import_request DESC NULLS LAST
  • Sort Method: top-N heapsort Memory: 42kB
22. 4,733.621 18,769.381 ↓ 135.9 2,294,198 1

Nested Loop (cost=0.56..1,545,888.62 rows=16,882 width=1,680) (actual time=2,117.765..18,769.381 rows=2,294,198 loops=1)

23. 2,574.654 2,574.654 ↓ 6.2 82,454 1

CTE Scan on infra_col_data (cost=0.00..265.34 rows=13,267 width=1,576) (actual time=2,063.760..2,574.654 rows=82,454 loops=1)

24. 11,461.106 11,461.106 ↓ 28.0 28 82,454

Index Scan using idx_po_import_request_83_ts_status_last_updated_at_infra on po_import_request_83 _req (cost=0.56..116.49 rows=1 width=108) (actual time=0.014..0.139 rows=28 loops=82,454)

  • Index Cond: ((id_infra_instan = infra_col_data.id_infra_instan) AND ((ts_status_last_updated_at)::date >= '2019-03-01'::date) AND ((ts_status_last_updated_at)::date <= '2019-04-01'::date))
  • Filter: ((nu_extraction_status / 1000) = ANY ('{8,4,9,0,7,5}'::integer[]))
Planning time : 1.475 ms
Execution time : 22,205.310 ms