explain.depesz.com

PostgreSQL's explain analyze made readable

Result: unjM

Settings
# exclusive inclusive rows x rows loops node
1. 0.096 30,975.781 ↑ 1.0 50 1

Limit (cost=235,186.73..235,186.85 rows=50 width=1,678) (actual time=30,975.636..30,975.781 rows=50 loops=1)

2.          

CTE infra_col_data

3. 194.115 2,492.898 ↓ 6.2 82,454 1

Unique (cost=27,189.62..27,255.95 rows=13,267 width=174) (actual time=2,165.264..2,492.898 rows=82,454 loops=1)

4. 252.535 2,298.783 ↓ 6.4 84,268 1

Sort (cost=27,189.62..27,222.79 rows=13,267 width=174) (actual time=2,165.260..2,298.783 rows=84,268 loops=1)

  • Sort Key: po_infra_instan.id_infra_instan
  • Sort Method: quicksort Memory: 20177kB
5. 171.718 2,046.248 ↓ 6.4 84,268 1

Hash Join (cost=19,837.78..26,281.12 rows=13,267 width=174) (actual time=1,174.626..2,046.248 rows=84,268 loops=1)

  • Hash Cond: (po_proj_sub_infra.id_project_sub = po_project_sub.id_project_sub)
6. 416.969 1,516.191 ↓ 1.5 84,268 1

Hash Join (cost=16,299.65..22,395.69 rows=57,236 width=166) (actual time=816.218..1,516.191 rows=84,268 loops=1)

  • Hash Cond: (po_proj_sub_infra.id_infra_instan = po_infra_instan.id_infra_instan)
7. 283.319 283.319 ↓ 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=0.022..283.319 rows=274,533 loops=1)

8. 105.198 815.903 ↓ 1.5 84,771 1

Hash (cost=15,583.75..15,583.75 rows=57,272 width=162) (actual time=815.903..815.903 rows=84,771 loops=1)

  • Buckets: 131072 (originally 65536) Batches: 1 (originally 1) Memory Usage: 12693kB
9. 348.213 710.705 ↓ 1.5 84,771 1

Hash Join (cost=20.84..15,583.75 rows=57,272 width=162) (actual time=0.455..710.705 rows=84,771 loops=1)

  • Hash Cond: (po_infra_instan.id_connector_details = po_connector_details.id_connector_details)
10. 362.119 362.119 ↑ 1.0 274,442 1

Seq Scan on po_infra_instan (cost=0.00..13,960.92 rows=274,472 width=162) (actual time=0.026..362.119 rows=274,442 loops=1)

  • Filter: (NOT bl_marked_for_deletion)
  • Rows Removed by Filter: 233
11. 0.060 0.373 ↑ 1.0 53 1

Hash (cost=20.18..20.18 rows=53 width=4) (actual time=0.372..0.373 rows=53 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 10kB
12. 0.313 0.313 ↑ 1.0 53 1

Seq Scan on po_connector_details (cost=0.00..20.18 rows=53 width=4) (actual time=0.023..0.313 rows=53 loops=1)

  • Filter: (id_enterprise = 83)
  • Rows Removed by Filter: 202
13. 10.942 358.339 ↑ 2.1 9,532 1

Hash (cost=3,291.11..3,291.11 rows=19,762 width=12) (actual time=358.338..358.339 rows=9,532 loops=1)

  • Buckets: 32768 Batches: 1 Memory Usage: 666kB
14. 107.044 347.397 ↑ 2.1 9,532 1

Hash Join (cost=989.16..3,291.11 rows=19,762 width=12) (actual time=101.170..347.397 rows=9,532 loops=1)

  • Hash Cond: (po_project_sub.id_project = po_project.id_project)
15. 139.233 139.233 ↓ 1.0 85,261 1

Seq Scan on po_project_sub (cost=0.00..1,784.60 rows=85,260 width=8) (actual time=0.028..139.233 rows=85,261 loops=1)

16. 14.184 101.120 ↓ 1.8 12,498 1

Hash (cost=904.15..904.15 rows=6,801 width=8) (actual time=101.119..101.120 rows=12,498 loops=1)

  • Buckets: 16384 (originally 8192) Batches: 1 (originally 1) Memory Usage: 617kB
17. 44.727 86.936 ↓ 1.8 12,498 1

Hash Join (cost=27.69..904.15 rows=6,801 width=8) (actual time=0.825..86.936 rows=12,498 loops=1)

  • Hash Cond: (po_project.id_organization = org.id_organization)
18. 41.988 41.988 ↓ 1.0 29,343 1

Seq Scan on po_project (cost=0.00..698.42 rows=29,342 width=8) (actual time=0.020..41.988 rows=29,343 loops=1)

19. 0.074 0.221 ↑ 1.0 70 1

Hash (cost=26.81..26.81 rows=70 width=4) (actual time=0.220..0.221 rows=70 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 11kB
20. 0.147 0.147 ↑ 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=0.019..0.147 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. 2.313 30,975.685 ↑ 17.6 50 1

Sort (cost=207,930.78..207,932.98 rows=882 width=1,678) (actual time=30,975.632..30,975.685 rows=50 loops=1)

  • Sort Key: _req.id_import_request DESC NULLS LAST
  • Sort Method: top-N heapsort Memory: 38kB
22. 241.539 30,973.372 ↓ 1.1 980 1

Nested Loop (cost=0.57..207,901.48 rows=882 width=1,678) (actual time=22,550.124..30,973.372 rows=980 loops=1)

23. 2,697.473 2,697.473 ↓ 6.2 82,454 1

CTE Scan on infra_col_data (cost=0.00..265.34 rows=13,267 width=1,576) (actual time=2,165.267..2,697.473 rows=82,454 loops=1)

24. 28,034.360 28,034.360 ↓ 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..15.64 rows=1 width=106) (actual time=0.340..0.340 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 ('{8,4,9,0,7}'::integer[]))
  • Rows Removed by Filter: 17
Planning time : 2.786 ms
Execution time : 30,981.234 ms