explain.depesz.com

PostgreSQL's explain analyze made readable

Result: rIef

Settings
# exclusive inclusive rows x rows loops node
1. 0.103 21,146.336 ↑ 1.0 50 1

Limit (cost=346,020.16..346,020.29 rows=50 width=1,679) (actual time=21,146.185..21,146.336 rows=50 loops=1)

2.          

CTE infra_col_data

3. 186.438 2,797.534 ↓ 6.2 82,454 1

Unique (cost=27,189.62..27,255.95 rows=13,267 width=174) (actual time=2,488.296..2,797.534 rows=82,454 loops=1)

4. 243.456 2,611.096 ↓ 6.4 84,268 1

Sort (cost=27,189.62..27,222.79 rows=13,267 width=174) (actual time=2,488.291..2,611.096 rows=84,268 loops=1)

  • Sort Key: po_infra_instan.id_infra_instan
  • Sort Method: quicksort Memory: 20,177kB
5. 173.360 2,367.640 ↓ 6.4 84,268 1

Hash Join (cost=19,837.78..26,281.12 rows=13,267 width=174) (actual time=1,446.932..2,367.640 rows=84,268 loops=1)

  • Hash Cond: (po_proj_sub_infra.id_project_sub = po_project_sub.id_project_sub)
6. 441.414 1,773.816 ↓ 1.5 84,268 1

Hash Join (cost=16,299.65..22,395.69 rows=57,236 width=166) (actual time=1,026.237..1,773.816 rows=84,268 loops=1)

  • Hash Cond: (po_proj_sub_infra.id_infra_instan = po_infra_instan.id_infra_instan)
7. 308.647 308.647 ↓ 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=1.111..308.647 rows=274,533 loops=1)

8. 117.452 1,023.755 ↓ 1.5 84,771 1

Hash (cost=15,583.75..15,583.75 rows=57,272 width=162) (actual time=1,023.754..1,023.755 rows=84,771 loops=1)

  • Buckets: 131,072 (originally 65536) Batches: 1 (originally 1) Memory Usage: 12,693kB
9. 367.496 906.303 ↓ 1.5 84,771 1

Hash Join (cost=20.84..15,583.75 rows=57,272 width=162) (actual time=5.224..906.303 rows=84,771 loops=1)

  • Hash Cond: (po_infra_instan.id_connector_details = po_connector_details.id_connector_details)
10. 535.935 535.935 ↑ 1.0 274,442 1

Seq Scan on po_infra_instan (cost=0.00..13,960.92 rows=274,472 width=162) (actual time=2.172..535.935 rows=274,442 loops=1)

  • Filter: (NOT bl_marked_for_deletion)
  • Rows Removed by Filter: 233
11. 0.136 2.872 ↑ 1.0 53 1

Hash (cost=20.18..20.18 rows=53 width=4) (actual time=2.872..2.872 rows=53 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 10kB
12. 2.736 2.736 ↑ 1.0 53 1

Seq Scan on po_connector_details (cost=0.00..20.18 rows=53 width=4) (actual time=1.090..2.736 rows=53 loops=1)

  • Filter: (id_enterprise = 83)
  • Rows Removed by Filter: 202
13. 11.019 420.464 ↑ 2.1 9,532 1

Hash (cost=3,291.11..3,291.11 rows=19,762 width=12) (actual time=420.464..420.464 rows=9,532 loops=1)

  • Buckets: 32,768 Batches: 1 Memory Usage: 666kB
14. 112.562 409.445 ↑ 2.1 9,532 1

Hash Join (cost=989.16..3,291.11 rows=19,762 width=12) (actual time=183.998..409.445 rows=9,532 loops=1)

  • Hash Cond: (po_project_sub.id_project = po_project.id_project)
15. 113.554 113.554 ↓ 1.0 85,261 1

Seq Scan on po_project_sub (cost=0.00..1,784.60 rows=85,260 width=8) (actual time=0.589..113.554 rows=85,261 loops=1)

16. 32.201 183.329 ↓ 1.8 12,498 1

Hash (cost=904.15..904.15 rows=6,801 width=8) (actual time=183.328..183.329 rows=12,498 loops=1)

  • Buckets: 16,384 (originally 8192) Batches: 1 (originally 1) Memory Usage: 617kB
17. 85.704 151.128 ↓ 1.8 12,498 1

Hash Join (cost=27.69..904.15 rows=6,801 width=8) (actual time=1.981..151.128 rows=12,498 loops=1)

  • Hash Cond: (po_project.id_organization = org.id_organization)
18. 65.027 65.027 ↓ 1.0 29,343 1

Seq Scan on po_project (cost=0.00..698.42 rows=29,342 width=8) (actual time=0.557..65.027 rows=29,343 loops=1)

19. 0.119 0.397 ↑ 1.0 70 1

Hash (cost=26.81..26.81 rows=70 width=4) (actual time=0.396..0.397 rows=70 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 11kB
20. 0.278 0.278 ↑ 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=0.074..0.278 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. 2.328 21,146.233 ↑ 18.0 50 1

Sort (cost=318,764.21..318,766.46 rows=899 width=1,679) (actual time=21,146.180..21,146.233 rows=50 loops=1)

  • Sort Key: _req.id_import_request DESC NULLS LAST
  • Sort Method: top-N heapsort Memory: 38kB
22. 180.072 21,143.905 ↓ 1.1 980 1

Nested Loop (cost=0.57..318,734.35 rows=899 width=1,679) (actual time=15,217.445..21,143.905 rows=980 loops=1)

23. 2,988.861 2,988.861 ↓ 6.2 82,454 1

CTE Scan on infra_col_data (cost=0.00..265.34 rows=13,267 width=1,576) (actual time=2,488.300..2,988.861 rows=82,454 loops=1)

24. 329.816 17,974.972 ↓ 0.0 0 82,454

Append (cost=0.57..23.98 rows=2 width=107) (actual time=0.218..0.218 rows=0 loops=82,454)

25. 17,232.886 17,232.886 ↓ 0.0 0 82,454

Index Scan using idx_po_import_request_ext_copy_ts_status_last_updated_at_infra on po_import_request_ext_copy _req (cost=0.57..16.34 rows=1 width=106) (actual time=0.209..0.209 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[]))
26. 412.270 412.270 ↓ 0.0 0 82,454

Index Scan using idx_po_import_request_ext_copy_all_ts_status_last_updated_at_in on po_import_request_ext_copy_all _req_1 (cost=0.43..7.64 rows=1 width=127) (actual time=0.005..0.005 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[]))
Planning time : 9.598 ms
Execution time : 21,153.629 ms