explain.depesz.com

PostgreSQL's explain analyze made readable

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

Settings

Optimization path:

Optimization(s) for this plan:

# exclusive inclusive rows x rows loops node
1. 0.126 727.816 ↑ 20.4 10 1

Insert on transfer_reagents (cost=628,295.80..628,929.47 rows=204 width=1,104) (actual time=727.662..727.816 rows=10 loops=1)

2.          

CTE to_upsert

3. 0.138 0.138 ↑ 10.0 10 1

Function Scan on json_to_recordset to_upsert (cost=0.00..1.00 rows=100 width=353) (actual time=0.137..0.138 rows=10 loops=1)

4.          

CTE plates

5. 0.006 724.932 ↑ 102.0 2 1

Unique (cost=251,980.08..251,982.63 rows=204 width=38) (actual time=724.925..724.932 rows=2 loops=1)

6. 0.022 724.926 ↑ 20.4 10 1

Sort (cost=251,980.08..251,980.59 rows=204 width=38) (actual time=724.924..724.926 rows=10 loops=1)

  • Sort Key: pl.id, pl.barcode, pl.experiment_plate_number, e.label
  • Sort Method: quicksort Memory: 25kB
7. 355.161 724.904 ↑ 20.4 10 1

Merge Join (cost=15.35..251,972.26 rows=204 width=38) (actual time=713.923..724.904 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. 47.432 47.432 ↓ 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..47.432 rows=91,081 loops=1)

9. 217.415 322.311 ↑ 1.3 918,860 1

Materialize (cost=0.29..31,731.84 rows=1,240,100 width=99) (actual time=0.008..322.311 rows=918,860 loops=1)

10. 59.140 104.896 ↑ 9.8 126,050 1

Nested Loop (cost=0.29..28,631.59 rows=1,240,100 width=99) (actual time=0.006..104.896 rows=126,050 loops=1)

11. 7.941 7.941 ↓ 1.0 12,605 1

Index Scan using experiments_pkey on experiments e (cost=0.29..3,828.59 rows=12,401 width=27) (actual time=0.004..7.941 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 0.148 ↓ 3.0 6 1

Unique (cost=353,390.18..353,390.20 rows=2 width=12) (actual time=0.138..0.148 rows=6 loops=1)

15. 0.023 0.139 ↓ 10.0 20 1

Sort (cost=353,390.18..353,390.18 rows=2 width=12) (actual time=0.137..0.139 rows=20 loops=1)

  • Sort Key: p.id, p.plate_id, p.layer
  • Sort Method: quicksort Memory: 25kB
16. 0.054 0.116 ↓ 10.0 20 1

Nested Loop (cost=0.56..353,390.17 rows=2 width=12) (actual time=0.039..0.116 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. 0.016 0.060 ↑ 8,776.0 6 10

Materialize (cost=0.56..221,879.81 rows=52,656 width=24) (actual time=0.003..0.006 rows=6 loops=10)

19. 0.004 0.044 ↑ 8,776.0 6 1

Nested Loop (cost=0.56..221,616.53 rows=52,656 width=24) (actual time=0.020..0.044 rows=6 loops=1)

20. 0.010 0.010 ↑ 102.0 2 1

CTE Scan on plates plates_1 (cost=0.00..4.08 rows=204 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..1,083.76 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. 1.744 1.817 ↓ 0.0 0 1

Delete on transfer_perturbations (cost=0.61..22,294.63 rows=5,693 width=34) (actual time=1.817..1.817 rows=0 loops=1)

24. 0.020 0.073 ↑ 569.3 10 1

Nested Loop (cost=0.61..22,294.63 rows=5,693 width=34) (actual time=0.026..0.073 rows=10 loops=1)

25. 0.007 0.023 ↓ 3.0 6 1

Unique (cost=0.05..0.06 rows=2 width=32) (actual time=0.016..0.023 rows=6 loops=1)

26. 0.008 0.016 ↓ 3.0 6 1

Sort (cost=0.05..0.06 rows=2 width=32) (actual time=0.014..0.016 rows=6 loops=1)

  • Sort Key: printings_1.id
  • Sort Method: quicksort Memory: 25kB
27. 0.008 0.008 ↓ 3.0 6 1

CTE Scan on printings printings_1 (cost=0.00..0.04 rows=2 width=32) (actual time=0.006..0.008 rows=6 loops=1)

28. 0.030 0.030 ↑ 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=0.004..0.005 rows=2 loops=6)

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

CTE new_transfer_perturbations

30. 2.064 2.293 ↓ 2.5 10 1

Insert on transfer_perturbations transfer_perturbations_1 (cost=626.83..627.19 rows=4 width=1,435) (actual time=0.573..2.293 rows=10 loops=1)

31. 0.062 0.229 ↓ 2.5 10 1

Subquery Scan on *SELECT* (cost=626.83..627.19 rows=4 width=1,435) (actual time=0.159..0.229 rows=10 loops=1)

32. 0.033 0.167 ↓ 2.5 10 1

GroupAggregate (cost=626.83..626.99 rows=4 width=269) (actual time=0.136..0.167 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. 0.031 0.134 ↓ 2.5 10 1

Sort (cost=626.83..626.84 rows=4 width=237) (actual time=0.128..0.134 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. 0.040 0.103 ↓ 2.5 10 1

Nested Loop (cost=0.00..626.79 rows=4 width=237) (actual time=0.035..0.103 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. 0.009 0.009 ↓ 3.0 6 1

CTE Scan on printings printings_2 (cost=0.00..0.04 rows=2 width=12) (actual time=0.000..0.009 rows=6 loops=1)

36. 0.021 0.054 ↑ 20.4 10 6

Materialize (cost=0.00..617.06 rows=204 width=273) (actual time=0.001..0.009 rows=10 loops=6)

37. 0.021 0.033 ↑ 20.4 10 1

Nested Loop (cost=0.00..616.04 rows=204 width=273) (actual time=0.005..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
38. 0.002 0.002 ↑ 10.0 10 1

CTE Scan on to_upsert tu_3 (cost=0.00..2.00 rows=100 width=341) (actual time=0.000..0.002 rows=10 loops=1)

39. 0.010 0.010 ↑ 102.0 2 10

CTE Scan on plates plates_2 (cost=0.00..4.08 rows=204 width=742) (actual time=0.000..0.001 rows=2 loops=10)

40. 0.053 727.690 ↑ 20.4 10 1

Hash Left Join (cost=0.15..633.83 rows=204 width=1,104) (actual time=727.578..727.690 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. 0.048 725.311 ↑ 20.4 10 1

Nested Loop Left Join (cost=0.00..629.32 rows=204 width=196) (actual time=725.227..725.311 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. 0.028 725.103 ↑ 20.4 10 1

Nested Loop Left Join (cost=0.00..616.04 rows=204 width=232) (actual time=725.073..725.103 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. 0.145 0.145 ↑ 10.0 10 1

CTE Scan on to_upsert tu (cost=0.00..2.00 rows=100 width=300) (actual time=0.139..0.145 rows=10 loops=1)

44. 724.930 724.930 ↑ 102.0 2 10

CTE Scan on plates (cost=0.00..4.08 rows=204 width=742) (actual time=72.493..72.493 rows=2 loops=10)

45. 0.160 0.160 ↓ 3.0 6 10

CTE Scan on printings (cost=0.00..0.04 rows=2 width=12) (actual time=0.014..0.016 rows=6 loops=10)

46. 0.014 2.326 ↓ 2.5 10 1

Hash (cost=0.08..0.08 rows=4 width=282) (actual time=2.326..2.326 rows=10 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 9kB
47. 2.312 2.312 ↓ 2.5 10 1

CTE Scan on new_transfer_perturbations ntp (cost=0.00..0.08 rows=4 width=282) (actual time=0.576..2.312 rows=10 loops=1)

Planning time : 1.095 ms
Trigger times:
Trigger Name:Total time:Calls:Average time:
for constraint transfer_reagents_transfer_perturbation_id_fkey on transfer_reagents 0.099 ms 10 0.010 ms
for constraint plate_well_reagents_printing_reagent_id_fkey on transfer_perturbations 0.117 ms 10 0.012 ms
for constraint transfer_reagents_transfer_perturbation_id_fkey on transfer_perturbations 0.101 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 0.111 ms 10 0.011 ms
for constraint printing_reagents_printing_id_fkey on transfer_perturbations 0.100 ms 10 0.010 ms
check_printing_reagents_mutability_trg on transfer_perturbations 0.240 ms 10 0.024 ms
platelet_printings_reagents_updated_at on transfer_perturbations 1.458 ms 10 0.146 ms
trg_stash_experiment_version_printing_reagents on transfer_perturbations 0.568 ms 20 0.028 ms