explain.depesz.com

PostgreSQL's explain analyze made readable

Result: CDOu

Settings
# exclusive inclusive rows x rows loops node
1. 4,662.009 18,446.663 ↓ 135.9 2,294,198 1

Nested Loop (cost=28,115.98..1,574,004.03 rows=16,882 width=1,680) (actual time=2,386.542..18,446.663 rows=2,294,198 loops=1)

2.          

CTE infra_col_data

3. 176.422 2,661.535 ↓ 6.2 82,454 1

Unique (cost=28,049.08..28,115.42 rows=13,267 width=174) (actual time=2,362.386..2,661.535 rows=82,454 loops=1)

4. 324.466 2,485.113 ↓ 6.4 84,268 1

Sort (cost=28,049.08..28,082.25 rows=13,267 width=174) (actual time=2,362.382..2,485.113 rows=84,268 loops=1)

  • Sort Key: po_infra_instan.id_infra_instan
  • Sort Method: external merge Disk: 11520kB
5. 299.798 2,160.647 ↓ 6.4 84,268 1

Hash Join (cost=10,514.34..27,140.59 rows=13,267 width=174) (actual time=1,024.930..2,160.647 rows=84,268 loops=1)

  • Hash Cond: (po_infra_instan.id_infra_instan = po_proj_sub_infra.id_infra_instan)
6. 422.931 870.447 ↓ 1.5 84,771 1

Hash Join (cost=20.84..15,583.75 rows=57,272 width=162) (actual time=0.322..870.447 rows=84,771 loops=1)

  • Hash Cond: (po_infra_instan.id_connector_details = po_connector_details.id_connector_details)
7. 447.271 447.271 ↑ 1.0 274,442 1

Seq Scan on po_infra_instan (cost=0.00..13,960.92 rows=274,472 width=162) (actual time=0.031..447.271 rows=274,442 loops=1)

  • Filter: (NOT bl_marked_for_deletion)
  • Rows Removed by Filter: 233
8. 0.062 0.245 ↑ 1.0 53 1

Hash (cost=20.18..20.18 rows=53 width=4) (actual time=0.244..0.245 rows=53 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 10kB
9. 0.183 0.183 ↑ 1.0 53 1

Seq Scan on po_connector_details (cost=0.00..20.18 rows=53 width=4) (actual time=0.015..0.183 rows=53 loops=1)

  • Filter: (id_enterprise = 83)
  • Rows Removed by Filter: 202
10. 94.874 990.402 ↓ 1.3 84,697 1

Hash (cost=9,698.11..9,698.11 rows=63,631 width=16) (actual time=990.401..990.402 rows=84,697 loops=1)

  • Buckets: 131072 (originally 65536) Batches: 2 (originally 1) Memory Usage: 3073kB
11. 356.573 895.528 ↓ 1.3 84,697 1

Hash Join (cost=3,538.13..9,698.11 rows=63,631 width=16) (actual time=273.989..895.528 rows=84,697 loops=1)

  • Hash Cond: (po_proj_sub_infra.id_project_sub = po_project_sub.id_project_sub)
12. 265.328 265.328 ↓ 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=0.011..265.328 rows=274,533 loops=1)

13. 10.266 273.627 ↑ 2.1 9,532 1

Hash (cost=3,291.11..3,291.11 rows=19,762 width=12) (actual time=273.626..273.627 rows=9,532 loops=1)

  • Buckets: 32768 Batches: 1 Memory Usage: 666kB
14. 94.319 263.361 ↑ 2.1 9,532 1

Hash Join (cost=989.16..3,291.11 rows=19,762 width=12) (actual time=84.713..263.361 rows=9,532 loops=1)

  • Hash Cond: (po_project_sub.id_project = po_project.id_project)
15. 84.390 84.390 ↓ 1.0 85,261 1

Seq Scan on po_project_sub (cost=0.00..1,784.60 rows=85,260 width=8) (actual time=0.011..84.390 rows=85,261 loops=1)

16. 13.091 84.652 ↓ 1.8 12,498 1

Hash (cost=904.15..904.15 rows=6,801 width=8) (actual time=84.652..84.652 rows=12,498 loops=1)

  • Buckets: 16384 (originally 8192) Batches: 1 (originally 1) Memory Usage: 617kB
17. 41.805 71.561 ↓ 1.8 12,498 1

Hash Join (cost=27.69..904.15 rows=6,801 width=8) (actual time=0.872..71.561 rows=12,498 loops=1)

  • Hash Cond: (po_project.id_organization = org.id_organization)
18. 29.462 29.462 ↓ 1.0 29,343 1

Seq Scan on po_project (cost=0.00..698.42 rows=29,342 width=8) (actual time=0.009..29.462 rows=29,343 loops=1)

19. 0.080 0.294 ↑ 1.0 70 1

Hash (cost=26.81..26.81 rows=70 width=4) (actual time=0.293..0.294 rows=70 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 11kB
20. 0.214 0.214 ↑ 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=0.037..0.214 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. 2,900.726 2,900.726 ↓ 6.2 82,454 1

CTE Scan on infra_col_data (cost=0.00..265.34 rows=13,267 width=1,576) (actual time=2,362.389..2,900.726 rows=82,454 loops=1)

22. 10,883.928 10,883.928 ↓ 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=0.013..0.132 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 : 382.980 ms
Execution time : 20,558.742 ms