explain.depesz.com

PostgreSQL's explain analyze made readable

Result: hMiR

Settings
# exclusive inclusive rows x rows loops node
1. 0.146 5,188.885 ↑ 1.0 50 1

Limit (cost=33,912.95..33,913.08 rows=50 width=1,698) (actual time=5,188.665..5,188.885 rows=50 loops=1)

2.          

CTE infra_col_data

3. 215.694 3,517.039 ↓ 6.2 82,454 1

Unique (cost=28,049.08..28,115.42 rows=13,267 width=174) (actual time=3,165.129..3,517.039 rows=82,454 loops=1)

4. 382.094 3,301.345 ↓ 6.4 84,268 1

Sort (cost=28,049.08..28,082.25 rows=13,267 width=174) (actual time=3,165.125..3,301.345 rows=84,268 loops=1)

  • Sort Key: po_infra_instan.id_infra_instan
  • Sort Method: external merge Disk: 11520kB
5. 484.484 2,919.251 ↓ 6.4 84,268 1

Hash Join (cost=10,514.34..27,140.59 rows=13,267 width=174) (actual time=1,629.616..2,919.251 rows=84,268 loops=1)

  • Hash Cond: (po_infra_instan.id_infra_instan = po_proj_sub_infra.id_infra_instan)
6. 458.001 954.414 ↓ 1.5 84,771 1

Hash Join (cost=20.84..15,583.75 rows=57,272 width=162) (actual time=0.616..954.414 rows=84,771 loops=1)

  • Hash Cond: (po_infra_instan.id_connector_details = po_connector_details.id_connector_details)
7. 495.883 495.883 ↑ 1.0 274,442 1

Seq Scan on po_infra_instan (cost=0.00..13,960.92 rows=274,472 width=162) (actual time=0.023..495.883 rows=274,442 loops=1)

  • Filter: (NOT bl_marked_for_deletion)
  • Rows Removed by Filter: 233
8. 0.089 0.530 ↑ 1.0 53 1

Hash (cost=20.18..20.18 rows=53 width=4) (actual time=0.529..0.530 rows=53 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 10kB
9. 0.441 0.441 ↑ 1.0 53 1

Seq Scan on po_connector_details (cost=0.00..20.18 rows=53 width=4) (actual time=0.015..0.441 rows=53 loops=1)

  • Filter: (id_enterprise = 83)
  • Rows Removed by Filter: 202
10. 136.803 1,480.353 ↓ 1.3 84,697 1

Hash (cost=9,698.11..9,698.11 rows=63,631 width=16) (actual time=1,480.352..1,480.353 rows=84,697 loops=1)

  • Buckets: 131072 (originally 65536) Batches: 2 (originally 1) Memory Usage: 3073kB
11. 504.327 1,343.550 ↓ 1.3 84,697 1

Hash Join (cost=3,538.13..9,698.11 rows=63,631 width=16) (actual time=439.306..1,343.550 rows=84,697 loops=1)

  • Hash Cond: (po_proj_sub_infra.id_project_sub = po_project_sub.id_project_sub)
12. 400.745 400.745 ↓ 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=0.463..400.745 rows=274,533 loops=1)

13. 16.158 438.478 ↑ 2.1 9,532 1

Hash (cost=3,291.11..3,291.11 rows=19,762 width=12) (actual time=438.477..438.478 rows=9,532 loops=1)

  • Buckets: 32768 Batches: 1 Memory Usage: 666kB
14. 144.071 422.320 ↑ 2.1 9,532 1

Hash Join (cost=989.16..3,291.11 rows=19,762 width=12) (actual time=132.029..422.320 rows=9,532 loops=1)

  • Hash Cond: (po_project_sub.id_project = po_project.id_project)
15. 146.798 146.798 ↓ 1.0 85,261 1

Seq Scan on po_project_sub (cost=0.00..1,784.60 rows=85,260 width=8) (actual time=0.556..146.798 rows=85,261 loops=1)

16. 19.588 131.451 ↓ 1.8 12,498 1

Hash (cost=904.15..904.15 rows=6,801 width=8) (actual time=131.450..131.451 rows=12,498 loops=1)

  • Buckets: 16384 (originally 8192) Batches: 1 (originally 1) Memory Usage: 617kB
17. 63.353 111.863 ↓ 1.8 12,498 1

Hash Join (cost=27.69..904.15 rows=6,801 width=8) (actual time=1.277..111.863 rows=12,498 loops=1)

  • Hash Cond: (po_project.id_organization = org.id_organization)
18. 48.137 48.137 ↓ 1.0 29,343 1

Seq Scan on po_project (cost=0.00..698.42 rows=29,342 width=8) (actual time=0.015..48.137 rows=29,343 loops=1)

19. 0.113 0.373 ↑ 1.0 70 1

Hash (cost=26.81..26.81 rows=70 width=4) (actual time=0.372..0.373 rows=70 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 11kB
20. 0.260 0.260 ↑ 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=0.029..0.260 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. 268.455 5,188.739 ↑ 1.1 50 1

Sort (cost=5,797.54..5,797.68 rows=56 width=1,698) (actual time=5,188.659..5,188.739 rows=50 loops=1)

  • Sort Key: _req.id_import_request DESC NULLS LAST
  • Sort Method: top-N heapsort Memory: 50kB
22. 437.202 4,920.284 ↓ 2,738.9 153,377 1

Hash Join (cost=2,064.01..5,795.91 rows=56 width=1,698) (actual time=3,938.632..4,920.284 rows=153,377 loops=1)

  • Hash Cond: (infra_col_data.id_infra_instan = _req.id_infra_instan)
23. 3,757.357 3,757.357 ↓ 6.2 82,454 1

CTE Scan on infra_col_data (cost=0.00..265.34 rows=13,267 width=1,576) (actual time=3,165.133..3,757.357 rows=82,454 loops=1)

24. 312.788 725.725 ↓ 741.0 153,377 1

Hash (cost=2,061.42..2,061.42 rows=207 width=126) (actual time=725.723..725.725 rows=153,377 loops=1)

  • Buckets: 32768 (originally 1024) Batches: 8 (originally 1) Memory Usage: 3841kB
25. 412.937 412.937 ↓ 741.0 153,377 1

Index Scan using idx_sy_temp_po_import_non_complete_nu_extraction_status_ts_last on sy_temp_po_import_non_complete _req (cost=0.43..2,061.42 rows=207 width=126) (actual time=1.389..412.937 rows=153,377 loops=1)

  • Index Cond: ((id_enterprise = 83) AND ((ts_status_last_updated_at)::date >= '2019-03-01'::date) AND ((ts_status_last_updated_at)::date <= '2019-04-01'::date) AND ((nu_extraction_status / 1000) = ANY ('{8,4,9,0,7}'::integer[])))
Planning time : 2.844 ms
Execution time : 5,200.168 ms