explain.depesz.com

PostgreSQL's explain analyze made readable

Result: EHyQ

Settings
# exclusive inclusive rows x rows loops node
1. 0.098 13,368.408 ↑ 1.0 50 1

Limit (cost=236,046.19..236,046.32 rows=50 width=1,678) (actual time=13,368.257..13,368.408 rows=50 loops=1)

2.          

CTE infra_col_data

3. 171.671 2,342.504 ↓ 6.2 82,454 1

Unique (cost=28,049.08..28,115.42 rows=13,267 width=174) (actual time=2,052.680..2,342.504 rows=82,454 loops=1)

4. 260.227 2,170.833 ↓ 6.4 84,268 1

Sort (cost=28,049.08..28,082.25 rows=13,267 width=174) (actual time=2,052.677..2,170.833 rows=84,268 loops=1)

  • Sort Key: po_infra_instan.id_infra_instan
  • Sort Method: external merge Disk: 11520kB
5. 212.769 1,910.606 ↓ 6.4 84,268 1

Hash Join (cost=10,514.34..27,140.59 rows=13,267 width=174) (actual time=983.049..1,910.606 rows=84,268 loops=1)

  • Hash Cond: (po_infra_instan.id_infra_instan = po_proj_sub_infra.id_infra_instan)
6. 352.422 715.959 ↓ 1.5 84,771 1

Hash Join (cost=20.84..15,583.75 rows=57,272 width=162) (actual time=0.324..715.959 rows=84,771 loops=1)

  • Hash Cond: (po_infra_instan.id_connector_details = po_connector_details.id_connector_details)
7. 363.271 363.271 ↑ 1.0 274,442 1

Seq Scan on po_infra_instan (cost=0.00..13,960.92 rows=274,472 width=162) (actual time=0.017..363.271 rows=274,442 loops=1)

  • Filter: (NOT bl_marked_for_deletion)
  • Rows Removed by Filter: 233
8. 0.055 0.266 ↑ 1.0 53 1

Hash (cost=20.18..20.18 rows=53 width=4) (actual time=0.265..0.266 rows=53 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 10kB
9. 0.211 0.211 ↑ 1.0 53 1

Seq Scan on po_connector_details (cost=0.00..20.18 rows=53 width=4) (actual time=0.012..0.211 rows=53 loops=1)

  • Filter: (id_enterprise = 83)
  • Rows Removed by Filter: 202
10. 94.645 981.878 ↓ 1.3 84,697 1

Hash (cost=9,698.11..9,698.11 rows=63,631 width=16) (actual time=981.877..981.878 rows=84,697 loops=1)

  • Buckets: 131072 (originally 65536) Batches: 2 (originally 1) Memory Usage: 3073kB
11. 352.238 887.233 ↓ 1.3 84,697 1

Hash Join (cost=3,538.13..9,698.11 rows=63,631 width=16) (actual time=270.042..887.233 rows=84,697 loops=1)

  • Hash Cond: (po_proj_sub_infra.id_project_sub = po_project_sub.id_project_sub)
12. 265.320 265.320 ↓ 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=0.012..265.320 rows=274,533 loops=1)

13. 10.205 269.675 ↑ 2.1 9,532 1

Hash (cost=3,291.11..3,291.11 rows=19,762 width=12) (actual time=269.674..269.675 rows=9,532 loops=1)

  • Buckets: 32768 Batches: 1 Memory Usage: 666kB
14. 92.329 259.470 ↑ 2.1 9,532 1

Hash Join (cost=989.16..3,291.11 rows=19,762 width=12) (actual time=83.833..259.470 rows=9,532 loops=1)

  • Hash Cond: (po_project_sub.id_project = po_project.id_project)
15. 83.369 83.369 ↓ 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..83.369 rows=85,261 loops=1)

16. 12.981 83.772 ↓ 1.8 12,498 1

Hash (cost=904.15..904.15 rows=6,801 width=8) (actual time=83.771..83.772 rows=12,498 loops=1)

  • Buckets: 16384 (originally 8192) Batches: 1 (originally 1) Memory Usage: 617kB
17. 41.111 70.791 ↓ 1.8 12,498 1

Hash Join (cost=27.69..904.15 rows=6,801 width=8) (actual time=0.795..70.791 rows=12,498 loops=1)

  • Hash Cond: (po_project.id_organization = org.id_organization)
18. 29.470 29.470 ↓ 1.0 29,343 1

Seq Scan on po_project (cost=0.00..698.42 rows=29,342 width=8) (actual time=0.011..29.470 rows=29,343 loops=1)

19. 0.076 0.210 ↑ 1.0 70 1

Hash (cost=26.81..26.81 rows=70 width=4) (actual time=0.209..0.210 rows=70 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 11kB
20. 0.134 0.134 ↑ 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=0.011..0.134 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. 226.302 13,368.310 ↑ 17.6 50 1

Sort (cost=207,930.78..207,932.98 rows=882 width=1,678) (actual time=13,368.253..13,368.310 rows=50 loops=1)

  • Sort Key: _req.id_import_request DESC NULLS LAST
  • Sort Method: top-N heapsort Memory: 50kB
22. 459.694 13,142.008 ↓ 173.9 153,377 1

Nested Loop (cost=0.57..207,901.48 rows=882 width=1,678) (actual time=2,206.626..13,142.008 rows=153,377 loops=1)

23. 2,540.472 2,540.472 ↓ 6.2 82,454 1

CTE Scan on infra_col_data (cost=0.00..265.34 rows=13,267 width=1,576) (actual time=2,052.685..2,540.472 rows=82,454 loops=1)

24. 10,141.842 10,141.842 ↓ 2.0 2 82,454

Index Scan using idx_po_import_request_ts_status_last_updated_at_infra on po_import_request _req (cost=0.57..15.64 rows=1 width=106) (actual time=0.117..0.123 rows=2 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}'::integer[]))
  • Rows Removed by Filter: 26
Planning time : 1.858 ms
Execution time : 13,374.309 ms