explain.depesz.com

PostgreSQL's explain analyze made readable

Result: V9og : 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

Settings

Optimization path:

Optimization(s) for this plan:

# exclusive inclusive rows x rows loops node
1. 0.075 727.557 ↓ 10.0 10 1

Insert on transfer_reagents (cost=635,737.02..635,748.01 rows=1 width=1,104) (actual time=727.365..727.557 rows=10 loops=1)

2.          

CTE to_upsert

3. 0.147 0.147 ↑ 10.0 10 1

Function Scan on json_to_recordset to_upsert (cost=0.00..1.00 rows=100 width=353) (actual time=0.145..0.147 rows=10 loops=1)

4.          

CTE plates

5. 0.004 724.036 ↑ 101.5 2 1

Unique (cost=252,377.10..252,379.64 rows=203 width=38) (actual time=724.029..724.036 rows=2 loops=1)

6. 0.015 724.032 ↑ 20.3 10 1

Sort (cost=252,377.10..252,377.61 rows=203 width=38) (actual time=724.029..724.032 rows=10 loops=1)

  • Sort Key: pl.id, pl.barcode, pl.experiment_plate_number, e.label
  • Sort Method: quicksort Memory: 25kB
7. 355.266 724.017 ↑ 20.3 10 1

Merge Join (cost=15.47..252,369.32 rows=203 width=38) (actual time=713.075..724.017 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. 46.349 46.349 ↓ 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=0.011..46.349 rows=91,081 loops=1)

9. 217.912 322.402 ↑ 1.4 918,860 1

Materialize (cost=0.29..32,193.90 rows=1,260,500 width=99) (actual time=0.009..322.402 rows=918,860 loops=1)

10. 58.986 104.490 ↑ 10.0 126,050 1

Nested Loop (cost=0.29..29,042.65 rows=1,260,500 width=99) (actual time=0.007..104.490 rows=126,050 loops=1)

11. 7.689 7.689 ↑ 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=0.005..7.689 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. 0.008 724.175 ↓ 3.0 6 1

Unique (cost=371,608.65..371,608.68 rows=2 width=20) (actual time=724.163..724.175 rows=6 loops=1)

15. 0.020 724.167 ↓ 10.0 20 1

Sort (cost=371,608.65..371,608.66 rows=2 width=20) (actual time=724.162..724.167 rows=20 loops=1)

  • Sort Key: p.id, p.plate_id, p.layer, p.printed_at
  • Sort Method: quicksort Memory: 25kB
16. 0.055 724.147 ↓ 10.0 20 1

Nested Loop (cost=0.56..371,608.64 rows=2 width=20) (actual time=724.071..724.147 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. 0.020 724.090 ↑ 9,404.5 6 10

Materialize (cost=0.56..230,680.21 rows=56,427 width=24) (actual time=72.405..72.409 rows=6 loops=10)

19. 0.006 724.070 ↑ 9,404.5 6 1

Nested Loop (cost=0.56..230,398.07 rows=56,427 width=24) (actual time=724.051..724.070 rows=6 loops=1)

20. 724.038 724.038 ↑ 101.5 2 1

CTE Scan on plates plates_1 (cost=0.00..4.06 rows=203 width=4) (actual time=724.031..724.038 rows=2 loops=1)

21. 0.026 0.026 ↑ 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=0.009..0.013 rows=3 loops=2)

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

CTE deleted_transfers

23. 1.404 1.471 ↓ 0.0 0 1

Delete on transfer_perturbations (cost=0.61..11,123.43 rows=2,847 width=34) (actual time=1.471..1.471 rows=0 loops=1)

24. 0.018 0.067 ↑ 284.7 10 1

Nested Loop (cost=0.61..11,123.43 rows=2,847 width=34) (actual time=0.024..0.067 rows=10 loops=1)

25. 0.011 0.019 ↓ 6.0 6 1

HashAggregate (cost=0.04..0.05 rows=1 width=32) (actual time=0.016..0.019 rows=6 loops=1)

  • Group Key: printings_1.id
26. 0.008 0.008 ↓ 6.0 6 1

CTE Scan on printings printings_1 (cost=0.00..0.04 rows=1 width=32) (actual time=0.005..0.008 rows=6 loops=1)

  • Filter: (printed_at IS NULL)
27. 0.030 0.030 ↑ 1,423.5 2 6

Index Scan using printing_reagents_printing_id_idx on transfer_perturbations (cost=0.56..11,094.91 rows=2,847 width=10) (actual time=0.004..0.005 rows=2 loops=6)

  • Index Cond: (printing_id = printings_1.id)
28.          

CTE new_transfer_perturbations

29. 2.720 727.118 ↓ 2.5 10 1

Insert on transfer_perturbations transfer_perturbations_1 (cost=623.77..624.13 rows=4 width=1,435) (actual time=725.423..727.118 rows=10 loops=1)

30. 0.057 724.398 ↓ 2.5 10 1

Subquery Scan on *SELECT* (cost=623.77..624.13 rows=4 width=1,435) (actual time=724.328..724.398 rows=10 loops=1)

31. 0.040 724.341 ↓ 2.5 10 1

GroupAggregate (cost=623.77..623.93 rows=4 width=269) (actual time=724.306..724.341 rows=10 loops=1)

  • Group Key: tu_3.well_address, tu_3.src_barcode, tu_3.src_address, tu_3.transfer_volume, printings_2.id, tu_3.condition_id, tu_3.well_type_id, tu_3.control
32. 0.025 724.301 ↓ 2.5 10 1

Sort (cost=623.77..623.78 rows=4 width=237) (actual time=724.298..724.301 rows=10 loops=1)

  • Sort Key: tu_3.well_address, tu_3.src_barcode, tu_3.src_address, tu_3.transfer_volume, printings_2.id, tu_3.condition_id, tu_3.well_type_id, tu_3.control
  • Sort Method: quicksort Memory: 26kB
33. 0.047 724.276 ↓ 2.5 10 1

Nested Loop (cost=0.00..623.73 rows=4 width=237) (actual time=724.202..724.276 rows=10 loops=1)

  • Join Filter: ((printings_2.id = tu_3.printing_id) OR ((((printings_2.layer)::character varying)::text = (tu_3.layer)::text) AND (plates_2.id = printings_2.plate_id)))
  • Rows Removed by Join Filter: 50
34. 724.181 724.181 ↓ 3.0 6 1

CTE Scan on printings printings_2 (cost=0.00..0.04 rows=2 width=12) (actual time=724.164..724.181 rows=6 loops=1)

35. 0.017 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)

36. 0.016 0.031 ↑ 20.3 10 1

Nested Loop (cost=0.00..613.03 rows=203 width=273) (actual time=0.004..0.031 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
37. 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=0.001..0.005 rows=10 loops=1)

38. 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)

39. 0.063 727.482 ↓ 10.0 10 1

Nested Loop (cost=0.14..11.13 rows=1 width=1,104) (actual time=727.341..727.482 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
40. 0.042 727.383 ↓ 18.0 18 1

Nested Loop (cost=0.14..11.03 rows=1 width=144) (actual time=727.314..727.383 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
41. 0.043 727.341 ↓ 18.0 18 1

Hash Join (cost=0.14..2.91 rows=1 width=212) (actual time=727.310..727.341 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
42. 0.148 0.148 ↑ 10.0 10 1

CTE Scan on to_upsert tu (cost=0.00..2.00 rows=100 width=300) (actual time=0.147..0.148 rows=10 loops=1)

43. 0.012 727.150 ↓ 2.5 10 1

Hash (cost=0.08..0.08 rows=4 width=282) (actual time=727.150..727.150 rows=10 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 9kB
44. 727.138 727.138 ↓ 2.5 10 1

CTE Scan on new_transfer_perturbations ntp (cost=0.00..0.08 rows=4 width=282) (actual time=725.426..727.138 rows=10 loops=1)

45. 0.000 0.000 ↑ 101.5 2 18

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

46. 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 : 1.402 ms
Trigger times:
Trigger Name:Total time:Calls:Average time:
for constraint transfer_reagents_transfer_perturbation_id_fkey on transfer_reagents 0.095 ms 10 0.009 ms
for constraint plate_well_reagents_printing_reagent_id_fkey on transfer_perturbations 0.116 ms 10 0.012 ms
for constraint transfer_reagents_transfer_perturbation_id_fkey on transfer_perturbations 0.109 ms 10 0.011 ms
for constraint printing_prescription_conditions_id_fkey on transfer_perturbations 0.148 ms 10 0.015 ms
for constraint printing_reagents_well_type_id_fkey on transfer_perturbations 0.112 ms 10 0.011 ms
for constraint printing_reagents_printing_id_fkey on transfer_perturbations 0.098 ms 10 0.010 ms
check_printing_reagents_mutability_trg on transfer_perturbations 0.229 ms 10 0.023 ms
platelet_printings_reagents_updated_at on transfer_perturbations 1.128 ms 10 0.113 ms
trg_stash_experiment_version_printing_reagents on transfer_perturbations 0.557 ms 20 0.028 ms