explain.depesz.com

PostgreSQL's explain analyze made readable

Result: Mys4 : Optimization for: Optimization for: Optimization for: Optimization for: Optimization for: Optimization for: plan #PTt4; plan #1SCb; plan #3jBG; plan #eE6h; plan #i2qD; plan #tQzX

Settings

Optimization path:

Optimization(s) for this plan:

# exclusive inclusive rows x rows loops node
1. 0.104 737.027 ↑ 20.3 10 1

Insert on transfer_reagents (cost=626,981.25..627,611.83 rows=203 width=1,104) (actual time=736.876..737.027 rows=10 loops=1)

2.          

CTE to_upsert

3. 0.169 0.169 ↑ 10.0 10 1

Function Scan on json_to_recordset to_upsert (cost=0.00..1.00 rows=100 width=353) (actual time=0.163..0.169 rows=10 loops=1)

4.          

CTE plates

5. 0.008 728.700 ↑ 101.5 2 1

Unique (cost=252,377.10..252,379.64 rows=203 width=38) (actual time=728.691..728.700 rows=2 loops=1)

6. 0.035 728.692 ↑ 20.3 10 1

Sort (cost=252,377.10..252,377.61 rows=203 width=38) (actual time=728.689..728.692 rows=10 loops=1)

  • Sort Key: pl.id, pl.barcode, pl.experiment_plate_number, e.label
  • Sort Method: quicksort Memory: 25kB
7. 357.987 728.657 ↑ 20.3 10 1

Merge Join (cost=15.47..252,369.32 rows=203 width=38) (actual time=717.580..728.657 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. 46.840 46.840 ↓ 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=0.005..46.840 rows=91,081 loops=1)

9. 218.903 323.830 ↑ 1.4 918,860 1

Materialize (cost=0.29..32,193.90 rows=1,260,500 width=99) (actual time=0.008..323.830 rows=918,860 loops=1)

10. 59.275 104.927 ↑ 10.0 126,050 1

Nested Loop (cost=0.29..29,042.65 rows=1,260,500 width=99) (actual time=0.005..104.927 rows=126,050 loops=1)

11. 7.837 7.837 ↑ 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..7.837 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. 0.007 0.211 ↓ 3.0 6 1

Unique (cost=351,681.68..351,681.70 rows=2 width=12) (actual time=0.199..0.211 rows=6 loops=1)

15. 0.054 0.204 ↓ 10.0 20 1

Sort (cost=351,681.68..351,681.69 rows=2 width=12) (actual time=0.198..0.204 rows=20 loops=1)

  • Sort Key: p.id, p.plate_id, p.layer
  • Sort Method: quicksort Memory: 25kB
16. 0.078 0.150 ↓ 10.0 20 1

Nested Loop (cost=0.56..351,681.67 rows=2 width=12) (actual time=0.070..0.150 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. 0.023 0.070 ↑ 8,733.0 6 10

Materialize (cost=0.56..220,815.67 rows=52,398 width=24) (actual time=0.003..0.007 rows=6 loops=10)

19. 0.007 0.047 ↑ 8,733.0 6 1

Nested Loop (cost=0.56..220,553.68 rows=52,398 width=24) (actual time=0.020..0.047 rows=6 loops=1)

20. 0.010 0.010 ↑ 101.5 2 1

CTE Scan on plates plates_1 (cost=0.00..4.06 rows=203 width=4) (actual time=0.001..0.010 rows=2 loops=1)

21. 0.030 0.030 ↑ 86.0 3 2

Index Scan using printings_plate_id_idx on printings p (cost=0.56..1,083.87 rows=258 width=20) (actual time=0.010..0.015 rows=3 loops=2)

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

CTE deleted_transfers

23. 2.833 2.912 ↓ 0.0 0 1

Delete on transfer_perturbations (cost=0.61..22,294.63 rows=5,693 width=34) (actual time=2.912..2.912 rows=0 loops=1)

24. 0.013 0.079 ↑ 569.3 10 1

Nested Loop (cost=0.61..22,294.63 rows=5,693 width=34) (actual time=0.028..0.079 rows=10 loops=1)

25. 0.009 0.024 ↓ 3.0 6 1

Unique (cost=0.05..0.06 rows=2 width=32) (actual time=0.015..0.024 rows=6 loops=1)

26. 0.008 0.015 ↓ 3.0 6 1

Sort (cost=0.05..0.06 rows=2 width=32) (actual time=0.014..0.015 rows=6 loops=1)

  • Sort Key: printings_1.id
  • Sort Method: quicksort Memory: 25kB
27. 0.007 0.007 ↓ 3.0 6 1

CTE Scan on printings printings_1 (cost=0.00..0.04 rows=2 width=32) (actual time=0.005..0.007 rows=6 loops=1)

28. 0.042 0.042 ↑ 1,423.5 2 6

Index Scan using printing_reagents_printing_id_idx on transfer_perturbations (cost=0.56..11,118.81 rows=2,847 width=10) (actual time=0.005..0.007 rows=2 loops=6)

  • Index Cond: (printing_id = printings_1.id)
29.          

CTE new_transfer_perturbations

30. 7.316 7.636 ↓ 2.5 10 1

Insert on transfer_perturbations transfer_perturbations_1 (cost=623.77..624.13 rows=4 width=1,435) (actual time=3.113..7.636 rows=10 loops=1)

31. 0.100 0.320 ↓ 2.5 10 1

Subquery Scan on *SELECT* (cost=623.77..624.13 rows=4 width=1,435) (actual time=0.237..0.320 rows=10 loops=1)

32. 0.049 0.220 ↓ 2.5 10 1

GroupAggregate (cost=623.77..623.93 rows=4 width=269) (actual time=0.180..0.220 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
33. 0.064 0.171 ↓ 2.5 10 1

Sort (cost=623.77..623.78 rows=4 width=237) (actual time=0.166..0.171 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
34. 0.048 0.107 ↓ 2.5 10 1

Nested Loop (cost=0.00..623.73 rows=4 width=237) (actual time=0.040..0.107 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
35. 0.011 0.011 ↓ 3.0 6 1

CTE Scan on printings printings_2 (cost=0.00..0.04 rows=2 width=12) (actual time=0.001..0.011 rows=6 loops=1)

36. 0.014 0.048 ↑ 20.3 10 6

Materialize (cost=0.00..614.04 rows=203 width=273) (actual time=0.002..0.008 rows=10 loops=6)

37. 0.021 0.034 ↑ 20.3 10 1

Nested Loop (cost=0.00..613.03 rows=203 width=273) (actual time=0.006..0.034 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
38. 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)

39. 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)

40. 0.078 736.923 ↑ 20.3 10 1

Hash Left Join (cost=0.15..630.73 rows=203 width=1,104) (actual time=736.811..736.923 rows=10 loops=1)

  • Hash Cond: (((tu.src_barcode)::text = (ntp.src_plate_barcode)::text) AND ((tu.src_address)::text = (ntp.src_well_address)::text) AND (printings.id = ntp.printing_id))
  • Join Filter: ((tu.well_address)::text = ANY ((ntp.addresses)::text[]))
  • Rows Removed by Join Filter: 8
41. 0.047 729.170 ↑ 20.3 10 1

Nested Loop Left Join (cost=0.00..626.24 rows=203 width=196) (actual time=729.083..729.170 rows=10 loops=1)

  • Join Filter: ((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: 50
42. 0.023 728.893 ↑ 20.3 10 1

Nested Loop Left Join (cost=0.00..613.03 rows=203 width=232) (actual time=728.864..728.893 rows=10 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: 10
43. 0.170 0.170 ↑ 10.0 10 1

CTE Scan on to_upsert tu (cost=0.00..2.00 rows=100 width=300) (actual time=0.166..0.170 rows=10 loops=1)

44. 728.700 728.700 ↑ 101.5 2 10

CTE Scan on plates (cost=0.00..4.06 rows=203 width=742) (actual time=72.869..72.870 rows=2 loops=10)

45. 0.230 0.230 ↓ 3.0 6 10

CTE Scan on printings (cost=0.00..0.04 rows=2 width=12) (actual time=0.020..0.023 rows=6 loops=10)

46. 0.015 7.675 ↓ 2.5 10 1

Hash (cost=0.08..0.08 rows=4 width=282) (actual time=7.675..7.675 rows=10 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 9kB
47. 7.660 7.660 ↓ 2.5 10 1

CTE Scan on new_transfer_perturbations ntp (cost=0.00..0.08 rows=4 width=282) (actual time=3.115..7.660 rows=10 loops=1)

Planning time : 2.348 ms
Trigger times:
Trigger Name:Total time:Calls:Average time:
for constraint transfer_reagents_transfer_perturbation_id_fkey on transfer_reagents 0.377 ms 10 0.038 ms
for constraint plate_well_reagents_printing_reagent_id_fkey on transfer_perturbations 0.754 ms 10 0.075 ms
for constraint transfer_reagents_transfer_perturbation_id_fkey on transfer_perturbations 0.336 ms 10 0.034 ms
for constraint printing_prescription_conditions_id_fkey on transfer_perturbations 0.663 ms 10 0.066 ms
for constraint printing_reagents_well_type_id_fkey on transfer_perturbations 0.489 ms 10 0.049 ms
for constraint printing_reagents_printing_id_fkey on transfer_perturbations 0.356 ms 10 0.036 ms
check_printing_reagents_mutability_trg on transfer_perturbations 1.041 ms 10 0.104 ms
platelet_printings_reagents_updated_at on transfer_perturbations 1.726 ms 10 0.173 ms
trg_stash_experiment_version_printing_reagents on transfer_perturbations: time=5.086 calls=20"Trigger platelet_printings_reagents_updated_at on transfer_perturbations 6.155 ms 10 0.616 ms