explain.depesz.com

PostgreSQL's explain analyze made readable

Result: SiSO : Optimization for: Optimization for: Optimization for: Optimization for: Optimization for: Optimization for: Optimization for: Optimization for: Optimization for: Optimization for: Optimization for: Optimization for: Optimization for: plan #PTt4; plan #1SCb; plan #3jBG; plan #eE6h; plan #i2qD; plan #tQzX; plan #Mys4; plan #cJmw; plan #SAeq; plan #uq9X; plan #V9og; plan #QmWj4; plan #GiTt

Settings

Optimization path:

Optimization(s) for this plan:

# exclusive inclusive rows x rows loops node
1. 0.081 730.738 ↓ 10.0 10 1

Insert on transfer_reagents (cost=624,613.59..624,624.58 rows=1 width=1,104) (actual time=730.554..730.738 rows=10 loops=1)

2.          

CTE to_upsert

3. 0.181 0.181 ↑ 10.0 10 1

Function Scan on json_to_recordset to_upsert (cost=0.00..1.00 rows=100 width=353) (actual time=0.179..0.181 rows=10 loops=1)

4.          

CTE plates

5. 0.006 722.880 ↑ 101.5 2 1

Unique (cost=252,377.10..252,379.64 rows=203 width=38) (actual time=722.873..722.880 rows=2 loops=1)

6. 0.022 722.874 ↑ 20.3 10 1

Sort (cost=252,377.10..252,377.61 rows=203 width=38) (actual time=722.872..722.874 rows=10 loops=1)

  • Sort Key: pl.id, pl.barcode, pl.experiment_plate_number, e.label
  • Sort Method: quicksort Memory: 25kB
7. 355.285 722.852 ↑ 20.3 10 1

Merge Join (cost=15.47..252,369.32 rows=203 width=38) (actual time=711.867..722.852 rows=10 loops=1)

  • Merge Cond: (pl.experiment_id = e.id)
  • Join Filter: ((tu_1.plate_id = pl.id) OR ((tu_1.plate_barcode)::text = (pl.barcode)::text) OR ((tu_1.plate_number = pl.experiment_plate_number) AND ((tu_1.experiment_label)::text = (e.label)::text)))
  • Rows Removed by Join Filter: 910,800
8. 46.126 46.126 ↓ 1.0 91,081 1

Index Scan using unique_experiment_id_and_plate_number on plates pl (cost=0.29..5,163.84 rows=87,871 width=19) (actual time=0.009..46.126 rows=91,081 loops=1)

9. 217.126 321.441 ↑ 1.4 918,860 1

Materialize (cost=0.29..32,193.90 rows=1,260,500 width=99) (actual time=0.008..321.441 rows=918,860 loops=1)

10. 59.003 104.315 ↑ 10.0 126,050 1

Nested Loop (cost=0.29..29,042.65 rows=1,260,500 width=99) (actual time=0.005..104.315 rows=126,050 loops=1)

11. 7.497 7.497 ↑ 1.0 12,605 1

Index Scan using experiments_pkey on experiments e (cost=0.29..3,831.65 rows=12,605 width=27) (actual time=0.003..7.497 rows=12,605 loops=1)

12. 37.815 37.815 ↑ 10.0 10 12,605

CTE Scan on to_upsert tu_1 (cost=0.00..2.00 rows=100 width=72) (actual time=0.000..0.003 rows=10 loops=12,605)

13.          

CTE printings

14. 0.011 723.021 ↓ 3.0 6 1

Unique (cost=371,608.65..371,608.68 rows=2 width=20) (actual time=723.007..723.021 rows=6 loops=1)

15. 0.026 723.010 ↓ 10.0 20 1

Sort (cost=371,608.65..371,608.66 rows=2 width=20) (actual time=723.007..723.010 rows=20 loops=1)

  • Sort Key: p.id, p.plate_id, p.layer, p.printed_at
  • Sort Method: quicksort Memory: 25kB
16. 0.050 722.984 ↓ 10.0 20 1

Nested Loop (cost=0.56..371,608.64 rows=2 width=20) (actual time=722.912..722.984 rows=20 loops=1)

  • Join Filter: ((tu_2.printing_id = p.id) OR (((tu_2.layer)::text = ((p.layer)::character varying)::text) AND (plates_1.id = p.plate_id) AND CASE WHEN (tu_2.printed_at IS NULL) THEN (p.printed_at IS NULL) ELSE (p.printed_at IS NOT NULL) END))
  • Rows Removed by Join Filter: 40
17. 0.004 0.004 ↑ 10.0 10 1

CTE Scan on to_upsert tu_2 (cost=0.00..2.00 rows=100 width=44) (actual time=0.000..0.004 rows=10 loops=1)

18. 0.021 722.930 ↑ 9,404.5 6 10

Materialize (cost=0.56..230,680.21 rows=56,427 width=24) (actual time=72.290..72.293 rows=6 loops=10)

19. 0.012 722.909 ↑ 9,404.5 6 1

Nested Loop (cost=0.56..230,398.07 rows=56,427 width=24) (actual time=722.892..722.909 rows=6 loops=1)

20. 722.883 722.883 ↑ 101.5 2 1

CTE Scan on plates plates_1 (cost=0.00..4.06 rows=203 width=4) (actual time=722.875..722.883 rows=2 loops=1)

21. 0.014 0.014 ↑ 92.7 3 2

Index Scan using printings_plate_id_idx on printings p (cost=0.56..1,132.17 rows=278 width=20) (actual time=0.005..0.007 rows=3 loops=2)

  • Index Cond: (plate_id = plates_1.id)
22.          

CTE new_transfer_perturbations

23. 6.891 730.227 ↓ 2.5 10 1

Insert on transfer_perturbations (cost=623.77..624.13 rows=4 width=1,435) (actual time=725.989..730.227 rows=10 loops=1)

24. 0.116 723.336 ↓ 2.5 10 1

Subquery Scan on *SELECT* (cost=623.77..624.13 rows=4 width=1,435) (actual time=723.252..723.336 rows=10 loops=1)

25. 0.049 723.220 ↓ 2.5 10 1

GroupAggregate (cost=623.77..623.93 rows=4 width=269) (actual time=723.178..723.220 rows=10 loops=1)

  • Group Key: tu_3.well_address, tu_3.src_barcode, tu_3.src_address, tu_3.transfer_volume, printings_1.id, tu_3.condition_id, tu_3.well_type_id, tu_3.control
26. 0.042 723.171 ↓ 2.5 10 1

Sort (cost=623.77..623.78 rows=4 width=237) (actual time=723.166..723.171 rows=10 loops=1)

  • Sort Key: tu_3.well_address, tu_3.src_barcode, tu_3.src_address, tu_3.transfer_volume, printings_1.id, tu_3.condition_id, tu_3.well_type_id, tu_3.control
  • Sort Method: quicksort Memory: 26kB
27. 0.044 723.129 ↓ 2.5 10 1

Nested Loop (cost=0.00..623.73 rows=4 width=237) (actual time=723.055..723.129 rows=10 loops=1)

  • Join Filter: ((printings_1.id = tu_3.printing_id) OR ((((printings_1.layer)::character varying)::text = (tu_3.layer)::text) AND (plates_2.id = printings_1.plate_id)))
  • Rows Removed by Join Filter: 50
28. 723.025 723.025 ↓ 3.0 6 1

CTE Scan on printings printings_1 (cost=0.00..0.04 rows=2 width=12) (actual time=723.008..723.025 rows=6 loops=1)

29. 0.027 0.060 ↑ 20.3 10 6

Materialize (cost=0.00..614.04 rows=203 width=273) (actual time=0.002..0.010 rows=10 loops=6)

30. 0.020 0.033 ↑ 20.3 10 1

Nested Loop (cost=0.00..613.03 rows=203 width=273) (actual time=0.006..0.033 rows=10 loops=1)

  • Join Filter: ((tu_3.plate_id = plates_2.id) OR ((tu_3.plate_barcode)::text = (plates_2.barcode)::text) OR (((tu_3.experiment_label)::text = (plates_2.experiment_label)::text) AND (tu_3.plate_number = plates_2.experiment_plate_number)))
  • Rows Removed by Join Filter: 10
31. 0.003 0.003 ↑ 10.0 10 1

CTE Scan on to_upsert tu_3 (cost=0.00..2.00 rows=100 width=341) (actual time=0.000..0.003 rows=10 loops=1)

32. 0.010 0.010 ↑ 101.5 2 10

CTE Scan on plates plates_2 (cost=0.00..4.06 rows=203 width=742) (actual time=0.000..0.001 rows=2 loops=10)

33. 0.086 730.657 ↓ 10.0 10 1

Nested Loop (cost=0.14..11.13 rows=1 width=1,104) (actual time=730.516..730.657 rows=10 loops=1)

  • Join Filter: ((ntp.printing_id = printings.id) AND ((printings.id = tu.printing_id) OR ((((printings.layer)::character varying)::text = (tu.layer)::text) AND (plates.id = printings.plate_id))))
  • Rows Removed by Join Filter: 98
34. 0.038 730.535 ↓ 18.0 18 1

Nested Loop (cost=0.14..11.03 rows=1 width=144) (actual time=730.461..730.535 rows=18 loops=1)

  • Join Filter: ((plates.id = tu.plate_id) OR ((plates.barcode)::text = (tu.plate_barcode)::text) OR (((plates.experiment_label)::text = (tu.experiment_label)::text) AND (plates.experiment_plate_number = tu.plate_number)))
  • Rows Removed by Join Filter: 18
35. 0.036 730.479 ↓ 18.0 18 1

Hash Join (cost=0.14..2.91 rows=1 width=212) (actual time=730.455..730.479 rows=18 loops=1)

  • Hash Cond: (((tu.src_barcode)::text = (ntp.src_plate_barcode)::text) AND ((tu.src_address)::text = (ntp.src_well_address)::text))
  • Join Filter: ((tu.well_address)::text = ANY ((ntp.addresses)::text[]))
  • Rows Removed by Join Filter: 34
36. 0.182 0.182 ↑ 10.0 10 1

CTE Scan on to_upsert tu (cost=0.00..2.00 rows=100 width=300) (actual time=0.181..0.182 rows=10 loops=1)

37. 0.017 730.261 ↓ 2.5 10 1

Hash (cost=0.08..0.08 rows=4 width=282) (actual time=730.261..730.261 rows=10 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 9kB
38. 730.244 730.244 ↓ 2.5 10 1

CTE Scan on new_transfer_perturbations ntp (cost=0.00..0.08 rows=4 width=282) (actual time=725.992..730.244 rows=10 loops=1)

39. 0.018 0.018 ↑ 101.5 2 18

CTE Scan on plates (cost=0.00..4.06 rows=203 width=742) (actual time=0.000..0.001 rows=2 loops=18)

40. 0.036 0.036 ↓ 3.0 6 18

CTE Scan on printings (cost=0.00..0.04 rows=2 width=12) (actual time=0.000..0.002 rows=6 loops=18)

Planning time : 1.246 ms
Trigger times:
Trigger Name:Total time:Calls:Average time:
for constraint transfer_reagents_transfer_perturbation_id_fkey on transfer_reagents 0.370 ms 10 0.037 ms
for constraint printing_prescription_conditions_id_fkey on transfer_perturbations 0.680 ms 10 0.068 ms
for constraint printing_reagents_well_type_id_fkey on transfer_perturbations 0.487 ms 10 0.049 ms
for constraint printing_reagents_printing_id_fkey on transfer_perturbations 0.358 ms 10 0.036 ms
platelet_printings_reagents_updated_at on transfer_perturbations 5.668 ms 10 0.567 ms