explain.depesz.com

PostgreSQL's explain analyze made readable

Result: 4CJp

Settings
# exclusive inclusive rows x rows loops node
1. 0.107 50,609.836 ↑ 1.0 50 1

Limit (cost=234,250.38..234,250.50 rows=50 width=1,678) (actual time=50,609.677..50,609.836 rows=50 loops=1)

2.          

CTE infra_col_data

3. 184.740 2,438.649 ↓ 6.2 82,453 1

Unique (cost=27,175.54..27,241.59 rows=13,211 width=174) (actual time=2,132.298..2,438.649 rows=82,453 loops=1)

4. 244.369 2,253.909 ↓ 6.4 84,267 1

Sort (cost=27,175.54..27,208.57 rows=13,211 width=174) (actual time=2,132.294..2,253.909 rows=84,267 loops=1)

  • Sort Key: po_infra_instan.id_infra_instan
  • Sort Method: quicksort Memory: 20177kB
5. 179.691 2,009.540 ↓ 6.4 84,267 1

Hash Join (cost=19,831.80..26,271.28 rows=13,211 width=174) (actual time=1,128.990..2,009.540 rows=84,267 loops=1)

  • Hash Cond: (po_proj_sub_infra.id_project_sub = po_project_sub.id_project_sub)
6. 418.417 1,543.323 ↓ 1.5 84,267 1

Hash Join (cost=16,293.66..22,387.30 rows=56,997 width=166) (actual time=842.406..1,543.323 rows=84,267 loops=1)

  • Hash Cond: (po_proj_sub_infra.id_infra_instan = po_infra_instan.id_infra_instan)
7. 282.830 282.830 ↓ 1.0 274,532 1

Seq Scan on po_proj_sub_infra (cost=0.00..4,494.22 rows=274,522 width=8) (actual time=0.016..282.830 rows=274,532 loops=1)

8. 106.620 842.076 ↓ 1.5 84,770 1

Hash (cost=15,580.81..15,580.81 rows=57,028 width=162) (actual time=842.075..842.076 rows=84,770 loops=1)

  • Buckets: 131072 (originally 65536) Batches: 1 (originally 1) Memory Usage: 12693kB
9. 368.475 735.456 ↓ 1.5 84,770 1

Hash Join (cost=20.85..15,580.81 rows=57,028 width=162) (actual time=0.291..735.456 rows=84,770 loops=1)

  • Hash Cond: (po_infra_instan.id_connector_details = po_connector_details.id_connector_details)
10. 366.721 366.721 ↓ 1.0 274,441 1

Seq Scan on po_infra_instan (cost=0.00..13,960.75 rows=274,382 width=162) (actual time=0.015..366.721 rows=274,441 loops=1)

  • Filter: (NOT bl_marked_for_deletion)
  • Rows Removed by Filter: 233
11. 0.062 0.260 ↑ 1.0 53 1

Hash (cost=20.19..20.19 rows=53 width=4) (actual time=0.259..0.260 rows=53 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 10kB
12. 0.198 0.198 ↑ 1.0 53 1

Seq Scan on po_connector_details (cost=0.00..20.19 rows=53 width=4) (actual time=0.016..0.198 rows=53 loops=1)

  • Filter: (id_enterprise = 83)
  • Rows Removed by Filter: 202
13. 10.569 286.526 ↑ 2.1 9,532 1

Hash (cost=3,291.11..3,291.11 rows=19,762 width=12) (actual time=286.525..286.526 rows=9,532 loops=1)

  • Buckets: 32768 Batches: 1 Memory Usage: 666kB
14. 98.719 275.957 ↑ 2.1 9,532 1

Hash Join (cost=989.16..3,291.11 rows=19,762 width=12) (actual time=88.341..275.957 rows=9,532 loops=1)

  • Hash Cond: (po_project_sub.id_project = po_project.id_project)
15. 88.949 88.949 ↓ 1.0 85,261 1

Seq Scan on po_project_sub (cost=0.00..1,784.60 rows=85,260 width=8) (actual time=0.016..88.949 rows=85,261 loops=1)

16. 13.330 88.289 ↓ 1.8 12,498 1

Hash (cost=904.15..904.15 rows=6,801 width=8) (actual time=88.288..88.289 rows=12,498 loops=1)

  • Buckets: 16384 (originally 8192) Batches: 1 (originally 1) Memory Usage: 617kB
17. 43.613 74.959 ↓ 1.8 12,498 1

Hash Join (cost=27.69..904.15 rows=6,801 width=8) (actual time=0.844..74.959 rows=12,498 loops=1)

  • Hash Cond: (po_project.id_organization = org.id_organization)
18. 31.129 31.129 ↓ 1.0 29,343 1

Seq Scan on po_project (cost=0.00..698.42 rows=29,342 width=8) (actual time=0.012..31.129 rows=29,343 loops=1)

19. 0.080 0.217 ↑ 1.0 70 1

Hash (cost=26.81..26.81 rows=70 width=4) (actual time=0.216..0.217 rows=70 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 11kB
20. 0.137 0.137 ↑ 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=0.012..0.137 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. 2.604 50,609.729 ↑ 17.4 50 1

Sort (cost=207,008.78..207,010.96 rows=870 width=1,678) (actual time=50,609.673..50,609.729 rows=50 loops=1)

  • Sort Key: _req.id_import_request DESC NULLS LAST
  • Sort Method: top-N heapsort Memory: 39kB
22. 237.032 50,607.125 ↓ 1.2 1,066 1

Nested Loop (cost=0.57..206,979.88 rows=870 width=1,678) (actual time=4,878.550..50,607.125 rows=1,066 loops=1)

23. 2,629.806 2,629.806 ↓ 6.2 82,453 1

CTE Scan on infra_col_data (cost=0.00..264.22 rows=13,211 width=1,576) (actual time=2,132.302..2,629.806 rows=82,453 loops=1)

24. 47,740.287 47,740.287 ↓ 0.0 0 82,453

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=0.579..0.579 rows=0 loops=82,453)

  • Index Cond: ((id_infra_instan = infra_col_data.id_infra_instan) AND ((ts_status_last_updated_at)::date >= '2018-01-01'::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: 105
Planning time : 1.512 ms
Execution time : 50,615.489 ms