explain.depesz.com

PostgreSQL's explain analyze made readable

Result: QmWj4 : 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

Settings

Optimization path:

Optimization(s) for this plan:

# exclusive inclusive rows x rows loops node
1. 0.053 724.907 ↓ 10.0 10 1

Insert on transfer_reagents (cost=624,613.59..624,624.58 rows=1 width=1,104) (actual time=724.729..724.907 rows=10 loops=1)

2.          

CTE to_upsert

3. 0.140 0.140 ↑ 10.0 10 1

Function Scan on json_to_recordset to_upsert (cost=0.00..1.00 rows=100 width=353) (actual time=0.138..0.140 rows=10 loops=1)

4.          

CTE plates

5. 0.005 721.444 ↑ 101.5 2 1

Unique (cost=252,377.10..252,379.64 rows=203 width=38) (actual time=721.437..721.444 rows=2 loops=1)

6. 0.012 721.439 ↑ 20.3 10 1

Sort (cost=252,377.10..252,377.61 rows=203 width=38) (actual time=721.436..721.439 rows=10 loops=1)

  • Sort Key: pl.id, pl.barcode, pl.experiment_plate_number, e.label
  • Sort Method: quicksort Memory: 25kB
7. 354.571 721.427 ↑ 20.3 10 1

Merge Join (cost=15.47..252,369.32 rows=203 width=38) (actual time=710.504..721.427 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. 45.918 45.918 ↓ 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..45.918 rows=91,081 loops=1)

9. 217.436 320.938 ↑ 1.4 918,860 1

Materialize (cost=0.29..32,193.90 rows=1,260,500 width=99) (actual time=0.007..320.938 rows=918,860 loops=1)

10. 58.161 103.502 ↑ 10.0 126,050 1

Nested Loop (cost=0.29..29,042.65 rows=1,260,500 width=99) (actual time=0.005..103.502 rows=126,050 loops=1)

11. 7.526 7.526 ↑ 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=0.004..7.526 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. 0.009 721.572 ↓ 3.0 6 1

Unique (cost=371,608.65..371,608.68 rows=2 width=20) (actual time=721.559..721.572 rows=6 loops=1)

15. 0.017 721.563 ↓ 10.0 20 1

Sort (cost=371,608.65..371,608.66 rows=2 width=20) (actual time=721.558..721.563 rows=20 loops=1)

  • Sort Key: p.id, p.plate_id, p.layer, p.printed_at
  • Sort Method: quicksort Memory: 25kB
16. 0.054 721.546 ↓ 10.0 20 1

Nested Loop (cost=0.56..371,608.64 rows=2 width=20) (actual time=721.470..721.546 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. 0.002 0.002 ↑ 10.0 10 1

CTE Scan on to_upsert tu_2 (cost=0.00..2.00 rows=100 width=44) (actual time=0.000..0.002 rows=10 loops=1)

18. 0.020 721.490 ↑ 9,404.5 6 10

Materialize (cost=0.56..230,680.21 rows=56,427 width=24) (actual time=72.145..72.149 rows=6 loops=10)

19. 0.005 721.470 ↑ 9,404.5 6 1

Nested Loop (cost=0.56..230,398.07 rows=56,427 width=24) (actual time=721.452..721.470 rows=6 loops=1)

20. 721.447 721.447 ↑ 101.5 2 1

CTE Scan on plates plates_1 (cost=0.00..4.06 rows=203 width=4) (actual time=721.438..721.447 rows=2 loops=1)

21. 0.018 0.018 ↑ 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=0.008..0.009 rows=3 loops=2)

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

CTE new_transfer_perturbations

23. 2.690 724.500 ↓ 2.5 10 1

Insert on transfer_perturbations (cost=623.77..624.13 rows=4 width=1,435) (actual time=722.068..724.500 rows=10 loops=1)

24. 0.061 721.810 ↓ 2.5 10 1

Subquery Scan on *SELECT* (cost=623.77..624.13 rows=4 width=1,435) (actual time=721.713..721.810 rows=10 loops=1)

25. 0.053 721.749 ↓ 2.5 10 1

GroupAggregate (cost=623.77..623.93 rows=4 width=269) (actual time=721.697..721.749 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. 0.028 721.696 ↓ 2.5 10 1

Sort (cost=623.77..623.78 rows=4 width=237) (actual time=721.690..721.696 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. 0.045 721.668 ↓ 2.5 10 1

Nested Loop (cost=0.00..623.73 rows=4 width=237) (actual time=721.595..721.668 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. 721.575 721.575 ↓ 3.0 6 1

CTE Scan on printings printings_1 (cost=0.00..0.04 rows=2 width=12) (actual time=721.560..721.575 rows=6 loops=1)

29. 0.020 0.048 ↑ 20.3 10 6

Materialize (cost=0.00..614.04 rows=203 width=273) (actual time=0.001..0.008 rows=10 loops=6)

30. 0.013 0.028 ↑ 20.3 10 1

Nested Loop (cost=0.00..613.03 rows=203 width=273) (actual time=0.003..0.028 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. 0.005 0.005 ↑ 10.0 10 1

CTE Scan on to_upsert tu_3 (cost=0.00..2.00 rows=100 width=341) (actual time=0.000..0.005 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. 0.073 724.854 ↓ 10.0 10 1

Nested Loop (cost=0.14..11.13 rows=1 width=1,104) (actual time=724.714..724.854 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. 0.030 724.763 ↓ 18.0 18 1

Nested Loop (cost=0.14..11.03 rows=1 width=144) (actual time=724.691..724.763 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. 0.038 724.715 ↓ 18.0 18 1

Hash Join (cost=0.14..2.91 rows=1 width=212) (actual time=724.686..724.715 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. 0.143 0.143 ↑ 10.0 10 1

CTE Scan on to_upsert tu (cost=0.00..2.00 rows=100 width=300) (actual time=0.139..0.143 rows=10 loops=1)

37. 0.014 724.534 ↓ 2.5 10 1

Hash (cost=0.08..0.08 rows=4 width=282) (actual time=724.534..724.534 rows=10 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 9kB
38. 724.520 724.520 ↓ 2.5 10 1

CTE Scan on new_transfer_perturbations ntp (cost=0.00..0.08 rows=4 width=282) (actual time=722.071..724.520 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. 0.018 0.018 ↓ 3.0 6 18

CTE Scan on printings (cost=0.00..0.04 rows=2 width=12) (actual time=0.000..0.001 rows=6 loops=18)

Planning time : 1.028 ms
Trigger times:
Trigger Name:Total time:Calls:Average time:
for constraint transfer_reagents_transfer_perturbation_id_fkey on transfer_reagents 0.096 ms 10 0.010 ms
for constraint printing_prescription_conditions_id_fkey on transfer_perturbations 0.150 ms 10 0.015 ms
for constraint printing_reagents_well_type_id_fkey on transfer_perturbations 0.103 ms 10 0.010 ms
for constraint printing_reagents_printing_id_fkey on transfer_perturbations 0.096 ms 10 0.010 ms
platelet_printings_reagents_updated_at on transfer_perturbations 1.512 ms 10 0.151 ms