explain.depesz.com

PostgreSQL's explain analyze made readable

Result: ZFr3

Settings
# exclusive inclusive rows x rows loops node
1. 0.102 101,610.395 ↑ 1.0 50 1

Limit (cost=235,019.90..235,020.03 rows=50 width=1,678) (actual time=101,610.248..101,610.395 rows=50 loops=1)

2.          

CTE infra_col_data

3. 213.140 3,834.573 ↓ 6.2 82,454 1

Unique (cost=27,189.62..27,255.95 rows=13,267 width=174) (actual time=3,477.547..3,834.573 rows=82,454 loops=1)

4. 272.141 3,621.433 ↓ 6.4 84,268 1

Sort (cost=27,189.62..27,222.79 rows=13,267 width=174) (actual time=3,477.538..3,621.433 rows=84,268 loops=1)

  • Sort Key: po_infra_instan.id_infra_instan
  • Sort Method: quicksort Memory: 20177kB
5. 188.442 3,349.292 ↓ 6.4 84,268 1

Hash Join (cost=19,837.78..26,281.12 rows=13,267 width=174) (actual time=1,184.043..3,349.292 rows=84,268 loops=1)

  • Hash Cond: (po_proj_sub_infra.id_project_sub = po_project_sub.id_project_sub)
6. 447.997 2,857.708 ↓ 1.5 84,268 1

Hash Join (cost=16,299.65..22,395.69 rows=57,236 width=166) (actual time=880.697..2,857.708 rows=84,268 loops=1)

  • Hash Cond: (po_proj_sub_infra.id_infra_instan = po_infra_instan.id_infra_instan)
7. 1,529.554 1,529.554 ↓ 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=0.017..1,529.554 rows=274,533 loops=1)

8. 119.458 880.157 ↓ 1.5 84,771 1

Hash (cost=15,583.75..15,583.75 rows=57,272 width=162) (actual time=880.156..880.157 rows=84,771 loops=1)

  • Buckets: 131072 (originally 65536) Batches: 1 (originally 1) Memory Usage: 12693kB
9. 373.051 760.699 ↓ 1.5 84,771 1

Hash Join (cost=20.84..15,583.75 rows=57,272 width=162) (actual time=0.513..760.699 rows=84,771 loops=1)

  • Hash Cond: (po_infra_instan.id_connector_details = po_connector_details.id_connector_details)
10. 387.241 387.241 ↑ 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..387.241 rows=274,442 loops=1)

  • Filter: (NOT bl_marked_for_deletion)
  • Rows Removed by Filter: 233
11. 0.062 0.407 ↑ 1.0 53 1

Hash (cost=20.18..20.18 rows=53 width=4) (actual time=0.406..0.407 rows=53 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 10kB
12. 0.345 0.345 ↑ 1.0 53 1

Seq Scan on po_connector_details (cost=0.00..20.18 rows=53 width=4) (actual time=0.023..0.345 rows=53 loops=1)

  • Filter: (id_enterprise = 83)
  • Rows Removed by Filter: 202
13. 11.419 303.142 ↑ 2.1 9,532 1

Hash (cost=3,291.11..3,291.11 rows=19,762 width=12) (actual time=303.141..303.142 rows=9,532 loops=1)

  • Buckets: 32768 Batches: 1 Memory Usage: 666kB
14. 101.143 291.723 ↑ 2.1 9,532 1

Hash Join (cost=989.16..3,291.11 rows=19,762 width=12) (actual time=94.059..291.723 rows=9,532 loops=1)

  • Hash Cond: (po_project_sub.id_project = po_project.id_project)
15. 96.615 96.615 ↓ 1.0 85,261 1

Seq Scan on po_project_sub (cost=0.00..1,784.60 rows=85,260 width=8) (actual time=0.032..96.615 rows=85,261 loops=1)

16. 14.123 93.965 ↓ 1.8 12,498 1

Hash (cost=904.15..904.15 rows=6,801 width=8) (actual time=93.964..93.965 rows=12,498 loops=1)

  • Buckets: 16384 (originally 8192) Batches: 1 (originally 1) Memory Usage: 617kB
17. 43.858 79.842 ↓ 1.8 12,498 1

Hash Join (cost=27.69..904.15 rows=6,801 width=8) (actual time=0.946..79.842 rows=12,498 loops=1)

  • Hash Cond: (po_project.id_organization = org.id_organization)
18. 35.715 35.715 ↓ 1.0 29,343 1

Seq Scan on po_project (cost=0.00..698.42 rows=29,342 width=8) (actual time=0.024..35.715 rows=29,343 loops=1)

19. 0.083 0.269 ↑ 1.0 70 1

Hash (cost=26.81..26.81 rows=70 width=4) (actual time=0.268..0.269 rows=70 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 11kB
20. 0.186 0.186 ↑ 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=0.052..0.186 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. 2.840 101,610.293 ↑ 7.1 50 1

Sort (cost=207,763.95..207,764.83 rows=353 width=1,678) (actual time=101,610.241..101,610.293 rows=50 loops=1)

  • Sort Key: _req.id_import_request DESC NULLS LAST
  • Sort Method: top-N heapsort Memory: 38kB
22. 254.067 101,607.453 ↓ 2.8 979 1

Nested Loop (cost=0.57..207,752.22 rows=353 width=1,678) (actual time=81,134.537..101,607.453 rows=979 loops=1)

23. 4,057.666 4,057.666 ↓ 6.2 82,454 1

CTE Scan on infra_col_data (cost=0.00..265.34 rows=13,267 width=1,576) (actual time=3,477.553..4,057.666 rows=82,454 loops=1)

24. 97,295.720 97,295.720 ↓ 0.0 0 82,454

Index Scan using idx_po_import_request_ts_status_last_updated_at_infra on po_import_request _req (cost=0.57..15.63 rows=1 width=106) (actual time=1.180..1.180 rows=0 loops=82,454)

  • Index Cond: ((id_infra_instan = infra_col_data.id_infra_instan) AND ((ts_status_last_updated_at)::date >= '2018-12-01'::date) AND ((ts_status_last_updated_at)::date <= '2019-01-01'::date))
  • Filter: ((nu_extraction_status / 1000) = ANY ('{8,9}'::integer[]))
  • Rows Removed by Filter: 17
Planning time : 150.002 ms
Execution time : 101,620.624 ms