explain.depesz.com

PostgreSQL's explain analyze made readable

Result: JlZm : review1 db new

Settings
# exclusive inclusive rows x rows loops node
1. 5.871 258,785.934 ↓ 11.6 58 1

GroupAggregate (cost=11,670,401.18..11,670,401.32 rows=5 width=556) (actual time=258,778.441..258,785.934 rows=58 loops=1)

  • Group Key: "*SELECT* 1"."productCategoryId", "*SELECT* 1"."productCategoryName", "*SELECT* 1".year, "*SELECT* 1".month
  • Buffers: shared hit=1,331,917, temp read=2,335,518 written=2,001
2. 41.333 258,780.063 ↓ 3,793.6 18,968 1

Sort (cost=11,670,401.18..11,670,401.20 rows=5 width=556) (actual time=258,778.237..258,780.063 rows=18,968 loops=1)

  • Sort Key: "*SELECT* 1"."productCategoryId", "*SELECT* 1"."productCategoryName", "*SELECT* 1".month
  • Sort Method: quicksort Memory: 2,610kB
  • Buffers: shared hit=1,331,917, temp read=2,335,518 written=2,001
3. 6.922 258,738.730 ↓ 3,793.6 18,968 1

Append (cost=5,813,945.76..11,670,401.12 rows=5 width=556) (actual time=880.109..258,738.730 rows=18,968 loops=1)

  • Buffers: shared hit=1,331,917, temp read=2,335,518 written=2,001
4. 9.014 255,531.472 ↓ 4,443.8 17,775 1

Subquery Scan on *SELECT* 1 (cost=5,813,945.76..5,820,392.36 rows=4 width=556) (actual time=880.109..255,531.472 rows=17,775 loops=1)

  • Buffers: shared hit=762,071, temp read=2,334,641 written=1,122
5. 113.983 255,522.458 ↓ 4,443.8 17,775 1

Nested Loop (cost=5,813,945.76..5,820,392.32 rows=4 width=6,696) (actual time=880.107..255,522.458 rows=17,775 loops=1)

  • Buffers: shared hit=762,071, temp read=2,334,641 written=1,122
6. 44.389 255,355.150 ↓ 4,443.8 17,775 1

Nested Loop (cost=5,813,945.61..5,820,383.56 rows=4 width=624) (actual time=880.079..255,355.150 rows=17,775 loops=1)

  • Buffers: shared hit=726,521, temp read=2,334,641 written=1,122
7. 48.056 255,257.436 ↓ 4,443.8 17,775 1

Nested Loop (cost=5,813,945.47..5,820,374.89 rows=4 width=640) (actual time=880.057..255,257.436 rows=17,775 loops=1)

  • Buffers: shared hit=690,971, temp read=2,334,641 written=1,122
8. 43.980 255,156.055 ↓ 4,443.8 17,775 1

Nested Loop (cost=5,813,945.32..5,820,366.21 rows=4 width=656) (actual time=880.039..255,156.055 rows=17,775 loops=1)

  • Buffers: shared hit=655,421, temp read=2,334,641 written=1,122
9. 23.568 255,058.750 ↓ 4,443.8 17,775 1

Nested Loop (cost=5,813,945.18..5,820,357.53 rows=4 width=672) (actual time=880.021..255,058.750 rows=17,775 loops=1)

  • Buffers: shared hit=619,871, temp read=2,334,641 written=1,122
10. 45.989 255,035.182 ↓ 4,443.8 17,775 1

Nested Loop (cost=5,813,945.03..5,820,349.31 rows=4 width=676) (actual time=879.994..255,035.182 rows=17,775 loops=1)

  • Buffers: shared hit=619,869, temp read=2,334,641 written=1,122
11. 47.350 254,953.643 ↓ 4,443.8 17,775 1

Nested Loop (cost=5,813,944.89..5,820,347.86 rows=4 width=688) (actual time=879.980..254,953.643 rows=17,775 loops=1)

  • Buffers: shared hit=584,319, temp read=2,334,641 written=1,122
12. 34.652 254,870.743 ↓ 4,443.8 17,775 1

Nested Loop (cost=5,813,944.75..5,820,344.15 rows=4 width=704) (actual time=879.963..254,870.743 rows=17,775 loops=1)

  • Buffers: shared hit=548,769, temp read=2,334,641 written=1,122
13. 50.859 254,782.766 ↓ 4,443.8 17,775 1

Nested Loop (cost=5,813,944.61..5,820,340.83 rows=4 width=704) (actual time=879.942..254,782.766 rows=17,775 loops=1)

  • Buffers: shared hit=513,219, temp read=2,334,641 written=1,122
14. 47.361 254,678.582 ↓ 4,443.8 17,775 1

Nested Loop (cost=5,813,944.47..5,820,339.86 rows=4 width=720) (actual time=879.924..254,678.582 rows=17,775 loops=1)

  • Buffers: shared hit=477,669, temp read=2,334,641 written=1,122
15. 56.171 254,577.896 ↓ 4,443.8 17,775 1

Nested Loop (cost=5,813,944.33..5,820,335.94 rows=4 width=720) (actual time=879.904..254,577.896 rows=17,775 loops=1)

  • Buffers: shared hit=442,119, temp read=2,334,641 written=1,122
16. 30,092.624 254,415.075 ↓ 4,443.8 17,775 1

Nested Loop (cost=5,813,944.19..5,820,335.31 rows=4 width=704) (actual time=879.883..254,415.075 rows=17,775 loops=1)

  • Join Filter: (mpv.id = mpv_1.id)
  • Rows Removed by Join Filter: 392,136,841
  • Buffers: shared hit=406,569, temp read=2,334,641 written=1,122
17. 13.775 304.955 ↓ 4,168.0 4,168 1

Nested Loop (cost=9.57..961.37 rows=1 width=648) (actual time=0.259..304.955 rows=4,168 loops=1)

  • Buffers: shared hit=24,170
18. 11.053 166.140 ↓ 4,168.0 4,168 1

Nested Loop (cost=9.42..953.20 rows=1 width=664) (actual time=0.253..166.140 rows=4,168 loops=1)

  • Buffers: shared hit=15,834
19. 8.534 116.447 ↓ 2,415.0 2,415 1

Nested Loop (cost=9.01..950.64 rows=1 width=648) (actual time=0.242..116.447 rows=2,415 loops=1)

  • Buffers: shared hit=4,392
20. 31.171 85.557 ↓ 972.0 972 1

Nested Loop (cost=8.73..940.46 rows=1 width=648) (actual time=0.233..85.557 rows=972 loops=1)

  • Join Filter: (ic.id = p."industryCutId")
  • Rows Removed by Join Filter: 322,653
  • Buffers: shared hit=314
21. 11.236 11.236 ↓ 179.8 4,315 1

Index Scan using product_formid_index on "Product" p (cost=0.28..928.56 rows=24 width=132) (actual time=0.032..11.236 rows=4,315 loops=1)

  • Filter: ((type)::text = 'finishedGood'::text)
  • Rows Removed by Filter: 549
  • Buffers: shared hit=220
22. 42.995 43.150 ↓ 37.5 75 4,315

Materialize (cost=8.44..11.18 rows=2 width=564) (actual time=0.000..0.010 rows=75 loops=4,315)

  • Buffers: shared hit=94
23. 0.018 0.155 ↓ 37.5 75 1

Nested Loop (cost=8.44..11.17 rows=2 width=564) (actual time=0.041..0.155 rows=75 loops=1)

  • Buffers: shared hit=94
24. 0.024 0.057 ↓ 20.0 20 1

Hash Join (cost=8.17..10.45 rows=1 width=564) (actual time=0.035..0.057 rows=20 loops=1)

  • Hash Cond: (psc."productCategoryId" = pc.id)
  • Buffers: shared hit=3
25. 0.015 0.015 ↑ 1.0 100 1

Seq Scan on "ProductSubcategory" psc (cost=0.00..2.00 rows=100 width=32) (actual time=0.005..0.015 rows=100 loops=1)

  • Buffers: shared hit=1
26. 0.006 0.018 ↓ 5.0 5 1

Hash (cost=8.16..8.16 rows=1 width=548) (actual time=0.018..0.018 rows=5 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 9kB
  • Buffers: shared hit=2
27. 0.012 0.012 ↓ 5.0 5 1

Index Scan using productcategory_businesslineid_name_unique on "ProductCategory" pc (cost=0.14..8.16 rows=1 width=548) (actual time=0.010..0.012 rows=5 loops=1)

  • Index Cond: ("businessLineId" = '50578e14-1825-4003-978e-620e3495e915'::uuid)
  • Buffers: shared hit=2
28. 0.080 0.080 ↓ 2.0 4 20

Index Scan using industrycut_productsubcategoryid_name_unique on "IndustryCut" ic (cost=0.27..0.71 rows=2 width=32) (actual time=0.003..0.004 rows=4 loops=20)

  • Index Cond: ("productSubcategoryId" = psc.id)
  • Buffers: shared hit=91
29. 22.356 22.356 ↑ 1.0 2 972

Index Scan using productvariant_productid_skusuffix_unique on "ProductVariant" pv (cost=0.29..10.15 rows=2 width=32) (actual time=0.012..0.023 rows=2 loops=972)

  • Index Cond: ("productId" = p.id)
  • Buffers: shared hit=4,078
30. 38.640 38.640 ↑ 1.5 2 2,415

Index Scan using marketproductvariant_productvariantid_marketid_unique on "MarketProductVariant" mpv (cost=0.41..2.53 rows=3 width=48) (actual time=0.009..0.016 rows=2 loops=2,415)

  • Index Cond: ("productVariantId" = pv.id)
  • Buffers: shared hit=11,442
31. 125.040 125.040 ↑ 1.0 1 4,168

Index Only Scan using "BusinessLine_pkey" on "BusinessLine" bl (cost=0.14..8.16 rows=1 width=16) (actual time=0.005..0.030 rows=1 loops=4,168)

  • Index Cond: (id = '50578e14-1825-4003-978e-620e3495e915'::uuid)
  • Heap Fetches: 4,168
  • Buffers: shared hit=8,336
32. 178,119.460 224,017.496 ↑ 1.2 94,087 4,168

Group (cost=5,813,934.62..5,816,797.42 rows=114,512 width=96) (actual time=0.211..53.747 rows=94,087 loops=4,168)

  • Group Key: (COALESCE(forecast.year, m_1.year)), (COALESCE(forecast.month, m_1.month)), mpv_1.id, forecast.units, m_1.units
  • Buffers: shared hit=382,399, temp read=2,330,474 written=1,122
33.          

Initplan (for Group)

34. 0.002 0.020 ↑ 1.0 1 1

Limit (cost=33.55..33.55 rows=1 width=24) (actual time=0.019..0.020 rows=1 loops=1)

  • Buffers: shared hit=1
35. 0.016 0.018 ↑ 1,570.0 1 1

Sort (cost=33.55..37.48 rows=1,570 width=24) (actual time=0.018..0.018 rows=1 loops=1)

  • Sort Key: fi_2."importedAt" DESC
  • Sort Method: quicksort Memory: 25kB
  • Buffers: shared hit=1
36. 0.002 0.002 ↑ 1,570.0 1 1

Seq Scan on "ForecastImport" fi_2 (cost=0.00..25.70 rows=1,570 width=24) (actual time=0.002..0.002 rows=1 loops=1)

  • Buffers: shared hit=1
37. 45,242.725 45,898.016 ↑ 1.2 94,087 4,168

Sort (cost=5,813,901.07..5,814,187.35 rows=114,512 width=38) (actual time=0.210..11.012 rows=94,087 loops=4,168)

  • Sort Key: (COALESCE(forecast.year, m_1.year)), (COALESCE(forecast.month, m_1.month)), mpv_1.id, forecast.units, m_1.units
  • Sort Method: external sort Disk: 4,488kB
  • Buffers: shared hit=382,399, temp read=2,330,474 written=1,122
38. 68.670 655.291 ↑ 1.2 94,087 1

Nested Loop (cost=3,210.15..5,801,146.62 rows=114,512 width=38) (actual time=35.615..655.291 rows=94,087 loops=1)

  • Buffers: shared hit=382,399
39. 83.731 210.273 ↓ 1.6 94,087 1

Hash Full Join (cost=3,194.44..4,669,995.51 rows=57,257 width=56) (actual time=35.593..210.273 rows=94,087 loops=1)

  • Hash Cond: ((m_1."marketProductVariantId" = forecast."marketProductVariantId") AND (m_1.month = forecast.month) AND (m_1.year = forecast.year))
  • Filter: ((COALESCE(forecast.year, m_1.year) = 2,020) AND ((COALESCE(forecast.month, m_1.month) = 1) OR (COALESCE(forecast.month, m_1.month) = 2) OR (COALESCE(forecast.month, m_1.month) = 3) OR (COALESCE(forecast.month, m_1.month) = 4) OR (COALESCE(forecast.month, m_1.month) = 5) OR (COALESCE(forecast.month, m_1.month) = 6) OR (COALESCE(forecast.month, m_1.month) = 7) OR (COALESCE(forecast.month, m_1.month) = 8) OR (COALESCE(forecast.month, m_1.month) = 9) OR (COALESCE(forecast.month, m_1.month) = 10) OR (COALESCE(forecast.month, m_1.month) = 11) OR (COALESCE(forecast.month, m_1.month) = 12)))
  • Rows Removed by Filter: 61,287
  • Buffers: shared hit=2,765
40. 59.265 90.998 ↑ 1,570.8 124,880 1

Nested Loop (cost=0.00..2,455,037.42 rows=196,162,080 width=28) (actual time=0.034..90.998 rows=124,880 loops=1)

  • Buffers: shared hit=1,422
41. 31.733 31.733 ↑ 1.0 124,880 1

Seq Scan on "MonthlyMarketProductVariantDemand" m_1 (cost=0.00..2,981.80 rows=124,944 width=28) (actual time=0.029..31.733 rows=124,880 loops=1)

  • Filter: ("forecastImportId" = $0)
  • Buffers: shared hit=1,421
42. 0.000 0.000 ↑ 1,570.0 1 124,880

Materialize (cost=0.00..33.55 rows=1,570 width=0) (actual time=0.000..0.000 rows=1 loops=124,880)

  • Buffers: shared hit=1
43. 0.001 0.001 ↑ 1,570.0 1 1

Seq Scan on "ForecastImport" fi (cost=0.00..25.70 rows=1,570 width=0) (actual time=0.001..0.001 rows=1 loops=1)

  • Buffers: shared hit=1
44. 6.609 35.544 ↓ 51.7 30,500 1

Hash (cost=3,184.12..3,184.12 rows=590 width=28) (actual time=35.544..35.544 rows=30,500 loops=1)

  • Buckets: 32,768 (originally 1024) Batches: 1 (originally 1) Memory Usage: 2,044kB
  • Buffers: shared hit=1,343
45. 18.545 28.935 ↓ 51.7 30,500 1

Hash Join (cost=41.75..3,184.12 rows=590 width=28) (actual time=0.014..28.935 rows=30,500 loops=1)

  • Hash Cond: ((forecast."forecastImportId" = abf."forecastImportId") AND (forecast.year = abf.year))
  • Buffers: shared hit=1,343
46. 10.386 10.386 ↑ 1.0 118,009 1

Seq Scan on "MonthlyMarketProductVariantForecast" forecast (cost=0.00..2,522.57 rows=118,057 width=44) (actual time=0.004..10.386 rows=118,009 loops=1)

  • Buffers: shared hit=1,342
47. 0.002 0.004 ↑ 1,270.0 1 1

Hash (cost=22.70..22.70 rows=1,270 width=20) (actual time=0.004..0.004 rows=1 loops=1)

  • Buckets: 2,048 Batches: 1 Memory Usage: 17kB
  • Buffers: shared hit=1
48. 0.002 0.002 ↑ 1,270.0 1 1

Seq Scan on "AnnualBudgetForecast" abf (cost=0.00..22.70 rows=1,270 width=20) (actual time=0.001..0.002 rows=1 loops=1)

  • Buffers: shared hit=1
49. 94.087 376.348 ↑ 2.0 1 94,087

Bitmap Heap Scan on "MarketProductVariant" mpv_1 (cost=15.71..19.74 rows=2 width=22) (actual time=0.004..0.004 rows=1 loops=94,087)

  • Recheck Cond: ((forecast."marketProductVariantId" = id) OR (m_1."marketProductVariantId" = id))
  • Heap Blocks: exact=94,087
  • Buffers: shared hit=379,634
50. 0.000 282.261 ↓ 0.0 0 94,087

BitmapOr (cost=15.71..15.71 rows=2 width=0) (actual time=0.003..0.003 rows=0 loops=94,087)

  • Buffers: shared hit=285,547
51. 94.087 94.087 ↓ 0.0 0 94,087

Bitmap Index Scan on "MarketProductVariant_pkey" (cost=0.00..0.45 rows=1 width=0) (actual time=0.001..0.001 rows=0 loops=94,087)

  • Index Cond: (forecast."marketProductVariantId" = id)
  • Buffers: shared hit=92,668
52. 188.174 188.174 ↑ 1.0 1 94,087

Bitmap Index Scan on "MarketProductVariant_pkey" (cost=0.00..0.45 rows=1 width=0) (actual time=0.002..0.002 rows=1 loops=94,087)

  • Index Cond: (m_1."marketProductVariantId" = id)
  • Buffers: shared hit=192,879
53. 106.650 106.650 ↑ 1.0 1 17,775

Index Scan using "Market_pkey" on "Market" m (cost=0.14..0.16 rows=1 width=48) (actual time=0.006..0.006 rows=1 loops=17,775)

  • Index Cond: (id = mpv."marketId")
  • Buffers: shared hit=35,550
54. 53.325 53.325 ↑ 1.0 1 17,775

Index Scan using "Subregion_pkey" on "Subregion" sr (cost=0.14..0.98 rows=1 width=32) (actual time=0.003..0.003 rows=1 loops=17,775)

  • Index Cond: (id = m."subregionId")
  • Buffers: shared hit=35,550
55. 53.325 53.325 ↑ 1.0 1 17,775

Index Only Scan using "Region_pkey" on "Region" r (cost=0.13..0.24 rows=1 width=16) (actual time=0.003..0.003 rows=1 loops=17,775)

  • Index Cond: (id = sr."regionId")
  • Heap Fetches: 17,775
  • Buffers: shared hit=35,550
56. 53.325 53.325 ↑ 1.0 1 17,775

Index Scan using "SubBrand_pkey" on "SubBrand" sb (cost=0.14..0.82 rows=1 width=32) (actual time=0.003..0.003 rows=1 loops=17,775)

  • Index Cond: (id = p."subBrandId")
  • Buffers: shared hit=35,550
57. 35.550 35.550 ↑ 1.0 1 17,775

Index Only Scan using "Brand_pkey" on "Brand" b (cost=0.14..0.92 rows=1 width=16) (actual time=0.002..0.002 rows=1 loops=17,775)

  • Index Cond: (id = sb."brandId")
  • Heap Fetches: 17,775
  • Buffers: shared hit=35,550
58. 35.550 35.550 ↑ 1.0 1 17,775

Index Scan using "Currency_pkey" on "Currency" c (cost=0.14..0.36 rows=1 width=20) (actual time=0.002..0.002 rows=1 loops=17,775)

  • Index Cond: (id = m."currencyId")
  • Buffers: shared hit=35,550
59. 0.000 0.000 ↑ 1.0 1 17,775

Materialize (cost=0.14..8.17 rows=1 width=32) (actual time=0.000..0.000 rows=1 loops=17,775)

  • Buffers: shared hit=2
60. 0.020 0.020 ↑ 1.0 1 1

Index Only Scan using producttype_name_unique on "ProductType" pt (cost=0.14..8.16 rows=1 width=32) (actual time=0.018..0.020 rows=1 loops=1)

  • Index Cond: (name = 'finishedGood'::text)
  • Heap Fetches: 1
  • Buffers: shared hit=2
61. 53.325 53.325 ↑ 1.0 1 17,775

Index Only Scan using "Demographic_pkey" on "Demographic" d (cost=0.14..2.16 rows=1 width=16) (actual time=0.003..0.003 rows=1 loops=17,775)

  • Index Cond: (id = p."demographicId")
  • Heap Fetches: 17,775
  • Buffers: shared hit=35,550
62. 53.325 53.325 ↑ 1.0 1 17,775

Index Only Scan using "MarketingManaged_pkey" on "MarketingManaged" mm (cost=0.14..2.16 rows=1 width=16) (actual time=0.003..0.003 rows=1 loops=17,775)

  • Index Cond: (id = p."marketingManagedId")
  • Heap Fetches: 17,775
  • Buffers: shared hit=35,550
63. 53.325 53.325 ↑ 1.0 1 17,775

Index Only Scan using "MarketingFocus_pkey" on "MarketingFocus" mf (cost=0.14..2.16 rows=1 width=16) (actual time=0.003..0.003 rows=1 loops=17,775)

  • Index Cond: (id = p."marketingFocusId")
  • Heap Fetches: 17,775
  • Buffers: shared hit=35,550
64. 53.325 53.325 ↑ 1.0 1 17,775

Index Only Scan using "Form_pkey" on "Form" f (cost=0.14..2.16 rows=1 width=16) (actual time=0.003..0.003 rows=1 loops=17,775)

  • Index Cond: (id = p."formId")
  • Heap Fetches: 17,775
  • Buffers: shared hit=35,550
65. 0.261 3,200.336 ↓ 1,193.0 1,193 1

Subquery Scan on *SELECT* 2 (cost=5,829,472.02..5,850,008.76 rows=1 width=556) (actual time=803.832..3,200.336 rows=1,193 loops=1)

  • Buffers: shared hit=569,846, temp read=877 written=879
66. 3.486 3,200.075 ↓ 1,193.0 1,193 1

Nested Loop (cost=5,829,472.02..5,850,008.75 rows=1 width=6,696) (actual time=803.831..3,200.075 rows=1,193 loops=1)

  • Buffers: shared hit=569,846, temp read=877 written=879
67. 0.594 3,195.396 ↓ 1,193.0 1,193 1

Nested Loop (cost=5,829,471.88..5,850,008.35 rows=1 width=591) (actual time=803.813..3,195.396 rows=1,193 loops=1)

  • Buffers: shared hit=567,460, temp read=877 written=879
68. 0.604 3,192.416 ↓ 1,193.0 1,193 1

Nested Loop (cost=5,829,471.74..5,850,008.18 rows=1 width=607) (actual time=803.803..3,192.416 rows=1,193 loops=1)

  • Buffers: shared hit=565,074, temp read=877 written=879
69. 0.570 3,189.426 ↓ 1,193.0 1,193 1

Nested Loop (cost=5,829,471.59..5,850,008.00 rows=1 width=623) (actual time=803.794..3,189.426 rows=1,193 loops=1)

  • Buffers: shared hit=562,688, temp read=877 written=879
70. 0.724 3,186.470 ↓ 1,193.0 1,193 1

Nested Loop (cost=5,829,471.45..5,850,007.83 rows=1 width=639) (actual time=803.785..3,186.470 rows=1,193 loops=1)

  • Buffers: shared hit=560,302, temp read=877 written=879
71. 0.973 3,183.360 ↓ 1,193.0 1,193 1

Nested Loop (cost=5,829,471.30..5,850,007.66 rows=1 width=655) (actual time=803.777..3,183.360 rows=1,193 loops=1)

  • Buffers: shared hit=557,916, temp read=877 written=879
72. 1.248 3,180.001 ↓ 1,193.0 1,193 1

Nested Loop (cost=5,829,471.15..5,850,007.48 rows=1 width=659) (actual time=803.764..3,180.001 rows=1,193 loops=1)

  • Buffers: shared hit=555,530, temp read=877 written=879
73. 0.150 3,177.560 ↓ 1,193.0 1,193 1

Nested Loop (cost=5,829,471.01..5,850,006.54 rows=1 width=675) (actual time=803.754..3,177.560 rows=1,193 loops=1)

  • Buffers: shared hit=553,144, temp read=877 written=879
74. 0.694 3,175.024 ↓ 1,193.0 1,193 1

Nested Loop (cost=5,829,470.87..5,850,006.38 rows=1 width=675) (actual time=803.745..3,175.024 rows=1,193 loops=1)

  • Buffers: shared hit=550,758, temp read=877 written=879
75. 0.000 3,171.944 ↓ 1,193.0 1,193 1

Nested Loop (cost=5,829,470.74..5,850,006.11 rows=1 width=691) (actual time=803.733..3,171.944 rows=1,193 loops=1)

  • Buffers: shared hit=548,372, temp read=877 written=879
76. 0.616 3,197.918 ↓ 1,193.0 1,193 1

Nested Loop (cost=5,829,470.59..5,850,005.11 rows=1 width=691) (actual time=820.619..3,197.918 rows=1,193 loops=1)

  • Buffers: shared hit=545,986, temp read=877 written=879
77. 0.430 3,194.916 ↓ 1,193.0 1,193 1

Nested Loop (cost=5,829,470.45..5,850,004.95 rows=1 width=691) (actual time=820.604..3,194.916 rows=1,193 loops=1)

  • Buffers: shared hit=543,600, temp read=877 written=879
78. 49.008 3,192.100 ↓ 1,193.0 1,193 1

Nested Loop (cost=5,829,470.31..5,849,996.78 rows=1 width=707) (actual time=820.585..3,192.100 rows=1,193 loops=1)

  • Join Filter: (p_1."industryCutId" = ic_1.id)
  • Rows Removed by Join Filter: 642,907
  • Buffers: shared hit=541,214, temp read=877 written=879
79. 4.617 3,108.740 ↓ 209.5 8,588 1

Nested Loop (cost=5,829,461.86..5,849,984.37 rows=41 width=175) (actual time=815.959..3,108.740 rows=8,588 loops=1)

  • Buffers: shared hit=541,120, temp read=877 written=879
80. 4.697 3,086.947 ↓ 209.5 8,588 1

Nested Loop (cost=5,829,461.58..5,849,967.21 rows=41 width=91) (actual time=815.944..3,086.947 rows=8,588 loops=1)

  • Buffers: shared hit=515,356, temp read=877 written=879
81. 7.816 3,065.074 ↓ 209.5 8,588 1

Nested Loop (cost=5,829,461.29..5,849,954.06 rows=41 width=91) (actual time=815.928..3,065.074 rows=8,588 loops=1)

  • Buffers: shared hit=489,556, temp read=877 written=879
82. 2.514 3,040.082 ↓ 209.5 8,588 1

Nested Loop (cost=5,829,460.88..5,849,749.75 rows=41 width=75) (actual time=815.909..3,040.082 rows=8,588 loops=1)

  • Buffers: shared hit=455,182, temp read=877 written=879
83. 2.828 3,020.392 ↓ 209.5 8,588 1

Nested Loop (cost=5,829,460.74..5,849,661.06 rows=41 width=91) (actual time=815.894..3,020.392 rows=8,588 loops=1)

  • Buffers: shared hit=438,006, temp read=877 written=879
84. 2.819 3,000.388 ↓ 209.5 8,588 1

Nested Loop (cost=5,829,460.59..5,849,572.37 rows=41 width=107) (actual time=815.879..3,000.388 rows=8,588 loops=1)

  • Buffers: shared hit=420,830, temp read=877 written=879
85. 5.956 2,980.393 ↓ 209.5 8,588 1

Nested Loop (cost=5,829,460.45..5,849,483.68 rows=41 width=123) (actual time=815.864..2,980.393 rows=8,588 loops=1)

  • Buffers: shared hit=403,654, temp read=877 written=879
86. 1,184.502 2,957.261 ↓ 209.5 8,588 1

Nested Loop (cost=5,829,460.30..5,849,394.99 rows=41 width=139) (actual time=815.848..2,957.261 rows=8,588 loops=1)

  • Join Filter: (rf."marketProductVariantId" = mpvsbe."parentMarketProductVariantId")
  • Rows Removed by Join Filter: 15,461,308
  • Buffers: shared hit=386,478, temp read=877 written=879
87. 2.877 944.529 ↓ 12.7 7,202 1

Nested Loop (cost=5,829,460.30..5,831,095.84 rows=565 width=144) (actual time=813.510..944.529 rows=7,202 loops=1)

  • Buffers: shared hit=386,410, temp read=877 written=879
88. 36.947 941.652 ↓ 12.7 7,202 1

Nested Loop (cost=5,829,460.16..5,831,080.61 rows=565 width=148) (actual time=813.476..941.652 rows=7,202 loops=1)

  • Join Filter: (sb_2.id = p_2."subBrandId")
  • Rows Removed by Join Filter: 446,524
  • Buffers: shared hit=386,408, temp read=877 written=879
89. 47.921 883.099 ↓ 12.7 7,202 1

Nested Loop (cost=5,829,447.01..5,830,530.58 rows=565 width=164) (actual time=813.416..883.099 rows=7,202 loops=1)

  • Join Filter: (m_2.id = mpv_3."marketId")
  • Rows Removed by Join Filter: 410,514
  • Buffers: shared hit=386,405, temp read=877 written=879
90. 0.133 0.326 ↑ 1.0 58 1

Merge Join (cost=22.81..23.93 rows=59 width=48) (actual time=0.144..0.326 rows=58 loops=1)

  • Merge Cond: (m_2."currencyId" = c_2.id)
  • Buffers: shared hit=6
91. 0.063 0.152 ↑ 1.0 59 1

Sort (cost=19.90..20.05 rows=59 width=32) (actual time=0.116..0.152 rows=59 loops=1)

  • Sort Key: m_2."currencyId
  • Sort Method: quicksort Memory: 29kB
  • Buffers: shared hit=5
92. 0.029 0.089 ↑ 1.0 59 1

Hash Join (cost=14.26..18.16 rows=59 width=32) (actual time=0.055..0.089 rows=59 loops=1)

  • Hash Cond: (sr_2."regionId" = r_2.id)
  • Buffers: shared hit=5
93. 0.021 0.047 ↑ 1.0 59 1

Hash Join (cost=13.15..16.89 rows=59 width=48) (actual time=0.024..0.047 rows=59 loops=1)

  • Hash Cond: (m_2."subregionId" = sr_2.id)
  • Buffers: shared hit=4
94. 0.015 0.015 ↑ 1.0 59 1

Seq Scan on "Market" m_2 (cost=0.00..3.59 rows=59 width=48) (actual time=0.003..0.015 rows=59 loops=1)

  • Buffers: shared hit=3
95. 0.005 0.011 ↑ 10.0 14 1

Hash (cost=11.40..11.40 rows=140 width=32) (actual time=0.011..0.011 rows=14 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 9kB
  • Buffers: shared hit=1
96. 0.006 0.006 ↑ 10.0 14 1

Seq Scan on "Subregion" sr_2 (cost=0.00..11.40 rows=140 width=32) (actual time=0.004..0.006 rows=14 loops=1)

  • Buffers: shared hit=1
97. 0.006 0.013 ↓ 1.2 6 1

Hash (cost=1.05..1.05 rows=5 width=16) (actual time=0.013..0.013 rows=6 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 9kB
  • Buffers: shared hit=1
98. 0.007 0.007 ↓ 1.2 6 1

Seq Scan on "Region" r_2 (cost=0.00..1.05 rows=5 width=16) (actual time=0.006..0.007 rows=6 loops=1)

  • Buffers: shared hit=1
99. 0.032 0.041 ↑ 1.0 50 1

Sort (cost=2.91..3.04 rows=50 width=16) (actual time=0.027..0.041 rows=50 loops=1)

  • Sort Key: c_2.id
  • Sort Method: quicksort Memory: 27kB
  • Buffers: shared hit=1
100. 0.009 0.009 ↑ 1.0 50 1

Seq Scan on "Currency" c_2 (cost=0.00..1.50 rows=50 width=16) (actual time=0.005..0.009 rows=50 loops=1)

  • Buffers: shared hit=1
101. 25.708 834.852 ↓ 12.7 7,202 58

Materialize (cost=5,829,424.20..5,830,008.04 rows=565 width=148) (actual time=13.552..14.394 rows=7,202 loops=58)

  • Buffers: shared hit=386,399, temp read=877 written=879
102. 10.968 809.144 ↓ 12.7 7,202 1

Merge Join (cost=5,829,424.20..5,830,005.22 rows=565 width=148) (actual time=785.970..809.144 rows=7,202 loops=1)

  • Merge Cond: (rf."marketProductVariantId" = mpv_3.id)
  • Buffers: shared hit=386,399, temp read=877 written=879
103. 69.008 787.210 ↑ 1.2 94,083 1

Sort (cost=5,828,767.87..5,829,054.15 rows=114,512 width=32) (actual time=775.536..787.210 rows=94,083 loops=1)

  • Sort Key: rf."marketProductVariantId
  • Sort Method: external merge Disk: 3,504kB
  • Buffers: shared hit=382,399, temp read=877 written=879
104. 8.863 718.202 ↑ 1.2 94,087 1

Subquery Scan on rf (cost=5,813,542.62..5,816,405.42 rows=114,512 width=32) (actual time=681.019..718.202 rows=94,087 loops=1)

  • Buffers: shared hit=382,399, temp read=439 written=440
105. 17.863 709.339 ↑ 1.2 94,087 1

Group (cost=5,813,542.62..5,815,260.30 rows=114,512 width=96) (actual time=681.018..709.339 rows=94,087 loops=1)

  • Group Key: (COALESCE(forecast_1.year, m_3.year)), (COALESCE(forecast_1.month, m_3.month)), mpv_4.id, forecast_1.units, m_3.units
  • Buffers: shared hit=382,399, temp read=439 written=440
106.          

Initplan (for Group)

107. 0.003 0.019 ↑ 1.0 1 1

Limit (cost=33.55..33.55 rows=1 width=24) (actual time=0.017..0.019 rows=1 loops=1)

  • Buffers: shared hit=1
108. 0.013 0.016 ↑ 1,570.0 1 1

Sort (cost=33.55..37.48 rows=1,570 width=24) (actual time=0.016..0.016 rows=1 loops=1)

  • Sort Key: fi_3."importedAt" DESC
  • Sort Method: quicksort Memory: 25kB
  • Buffers: shared hit=1
109. 0.003 0.003 ↑ 1,570.0 1 1

Seq Scan on "ForecastImport" fi_3 (cost=0.00..25.70 rows=1,570 width=24) (actual time=0.002..0.003 rows=1 loops=1)

  • Buffers: shared hit=1
110. 194.354 691.457 ↑ 1.2 94,087 1

Sort (cost=5,813,509.07..5,813,795.35 rows=114,512 width=32) (actual time=681.013..691.457 rows=94,087 loops=1)

  • Sort Key: (COALESCE(forecast_1.year, m_3.year)), (COALESCE(forecast_1.month, m_3.month)), mpv_4.id, forecast_1.units, m_3.units
  • Sort Method: external merge Disk: 3,512kB
  • Buffers: shared hit=382,399, temp read=439 written=440
111. 65.433 497.103 ↑ 1.2 94,087 1

Nested Loop (cost=3,210.15..5,801,146.62 rows=114,512 width=32) (actual time=31.351..497.103 rows=94,087 loops=1)

  • Buffers: shared hit=382,399
112. 61.960 149.409 ↓ 1.6 94,087 1

Hash Full Join (cost=3,194.44..4,669,995.51 rows=57,257 width=56) (actual time=31.325..149.409 rows=94,087 loops=1)

  • Hash Cond: ((m_3."marketProductVariantId" = forecast_1."marketProductVariantId") AND (m_3.month = forecast_1.month) AND (m_3.year = forecast_1.year))
  • Filter: ((COALESCE(forecast_1.year, m_3.year) = 2,020) AND ((COALESCE(forecast_1.month, m_3.month) = 1) OR (COALESCE(forecast_1.month, m_3.month) = 2) OR (COALESCE(forecast_1.month, m_3.month) = 3) OR (COALESCE(forecast_1.month, m_3.month) = 4) OR (COALESCE(forecast_1.month, m_3.month) = 5) OR (COALESCE(forecast_1.month, m_3.month) = 6) OR (COALESCE(forecast_1.month, m_3.month) = 7) OR (COALESCE(forecast_1.month, m_3.month) = 8) OR (COALESCE(forecast_1.month, m_3.month) = 9) OR (COALESCE(forecast_1.month, m_3.month) = 10) OR (COALESCE(forecast_1.month, m_3.month) = 11) OR (COALESCE(forecast_1.month, m_3.month) = 12)))
  • Rows Removed by Filter: 61,287
  • Buffers: shared hit=2,765
113. 38.341 56.179 ↑ 1,570.8 124,880 1

Nested Loop (cost=0.00..2,455,037.42 rows=196,162,080 width=28) (actual time=0.037..56.179 rows=124,880 loops=1)

  • Buffers: shared hit=1,422
114. 17.838 17.838 ↑ 1.0 124,880 1

Seq Scan on "MonthlyMarketProductVariantDemand" m_3 (cost=0.00..2,981.80 rows=124,944 width=28) (actual time=0.031..17.838 rows=124,880 loops=1)

  • Filter: ("forecastImportId" = $1)
  • Buffers: shared hit=1,421
115. 0.000 0.000 ↑ 1,570.0 1 124,880

Materialize (cost=0.00..33.55 rows=1,570 width=0) (actual time=0.000..0.000 rows=1 loops=124,880)

  • Buffers: shared hit=1
116. 0.001 0.001 ↑ 1,570.0 1 1

Seq Scan on "ForecastImport" fi_1 (cost=0.00..25.70 rows=1,570 width=0) (actual time=0.001..0.001 rows=1 loops=1)

  • Buffers: shared hit=1
117. 5.956 31.270 ↓ 51.7 30,500 1

Hash (cost=3,184.12..3,184.12 rows=590 width=28) (actual time=31.270..31.270 rows=30,500 loops=1)

  • Buckets: 32,768 (originally 1024) Batches: 1 (originally 1) Memory Usage: 2,044kB
  • Buffers: shared hit=1,343
118. 15.666 25.314 ↓ 51.7 30,500 1

Hash Join (cost=41.75..3,184.12 rows=590 width=28) (actual time=0.024..25.314 rows=30,500 loops=1)

  • Hash Cond: ((forecast_1."forecastImportId" = abf_1."forecastImportId") AND (forecast_1.year = abf_1.year))
  • Buffers: shared hit=1,343
119. 9.642 9.642 ↑ 1.0 118,009 1

Seq Scan on "MonthlyMarketProductVariantForecast" forecast_1 (cost=0.00..2,522.57 rows=118,057 width=44) (actual time=0.004..9.642 rows=118,009 loops=1)

  • Buffers: shared hit=1,342
120. 0.004 0.006 ↑ 1,270.0 1 1

Hash (cost=22.70..22.70 rows=1,270 width=20) (actual time=0.006..0.006 rows=1 loops=1)

  • Buckets: 2,048 Batches: 1 Memory Usage: 17kB
  • Buffers: shared hit=1
121. 0.002 0.002 ↑ 1,270.0 1 1

Seq Scan on "AnnualBudgetForecast" abf_1 (cost=0.00..22.70 rows=1,270 width=20) (actual time=0.002..0.002 rows=1 loops=1)

  • Buffers: shared hit=1
122. 94.087 282.261 ↑ 2.0 1 94,087

Bitmap Heap Scan on "MarketProductVariant" mpv_4 (cost=15.71..19.74 rows=2 width=16) (actual time=0.003..0.003 rows=1 loops=94,087)

  • Recheck Cond: ((forecast_1."marketProductVariantId" = id) OR (m_3."marketProductVariantId" = id))
  • Heap Blocks: exact=94,087
  • Buffers: shared hit=379,634
123. 0.000 188.174 ↓ 0.0 0 94,087

BitmapOr (cost=15.71..15.71 rows=2 width=0) (actual time=0.002..0.002 rows=0 loops=94,087)

  • Buffers: shared hit=285,547
124. 94.087 94.087 ↓ 0.0 0 94,087

Bitmap Index Scan on "MarketProductVariant_pkey" (cost=0.00..0.45 rows=1 width=0) (actual time=0.001..0.001 rows=0 loops=94,087)

  • Index Cond: (forecast_1."marketProductVariantId" = id)
  • Buffers: shared hit=92,668
125. 94.087 94.087 ↑ 1.0 1 94,087

Bitmap Index Scan on "MarketProductVariant_pkey" (cost=0.00..0.45 rows=1 width=0) (actual time=0.001..0.001 rows=1 loops=94,087)

  • Index Cond: (m_3."marketProductVariantId" = id)
  • Buffers: shared hit=192,879
126. 1.730 10.966 ↓ 57.6 8,416 1

Sort (cost=656.33..656.69 rows=146 width=116) (actual time=10.365..10.966 rows=8,416 loops=1)

  • Sort Key: mpv_3.id
  • Sort Method: quicksort Memory: 672kB
  • Buffers: shared hit=4,000
127. 0.560 9.236 ↓ 14.8 2,168 1

Nested Loop (cost=341.49..651.08 rows=146 width=116) (actual time=1.648..9.236 rows=2,168 loops=1)

  • Buffers: shared hit=4,000
128. 0.182 4.698 ↓ 15.4 663 1

Hash Join (cost=341.08..541.05 rows=43 width=100) (actual time=1.624..4.698 rows=663 loops=1)

  • Hash Cond: (pc_2."businessLineId" = bl_2.id)
  • Buffers: shared hit=314
129. 0.190 4.500 ↓ 15.4 663 1

Hash Join (cost=327.93..527.78 rows=43 width=116) (actual time=1.596..4.500 rows=663 loops=1)

  • Hash Cond: (psc_2."productCategoryId" = pc_2.id)
  • Buffers: shared hit=313
130. 0.187 4.293 ↓ 15.4 663 1

Hash Join (cost=314.78..514.52 rows=43 width=116) (actual time=1.568..4.293 rows=663 loops=1)

  • Hash Cond: (ic_2."productSubcategoryId" = psc_2.id)
  • Buffers: shared hit=312
131. 0.192 4.078 ↓ 15.4 663 1

Hash Join (cost=311.53..511.16 rows=43 width=116) (actual time=1.533..4.078 rows=663 loops=1)

  • Hash Cond: (p_2."industryCutId" = ic_2.id)
  • Buffers: shared hit=311
132. 1.132 3.821 ↓ 15.4 663 1

Hash Join (cost=303.42..502.94 rows=43 width=116) (actual time=1.458..3.821 rows=663 loops=1)

  • Hash Cond: (pv_2."productId" = p_2.id)
  • Buffers: shared hit=308
133. 1.247 1.247 ↓ 1.0 8,699 1

Seq Scan on "ProductVariant" pv_2 (cost=0.00..176.73 rows=8,673 width=32) (actual time=0.004..1.247 rows=8,699 loops=1)

  • Buffers: shared hit=90
134. 0.139 1.442 ↓ 22.9 549 1

Hash (cost=303.12..303.12 rows=24 width=132) (actual time=1.442..1.442 rows=549 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 92kB
  • Buffers: shared hit=218
135. 1.303 1.303 ↓ 22.9 549 1

Seq Scan on "Product" p_2 (cost=0.00..303.12 rows=24 width=132) (actual time=0.136..1.303 rows=549 loops=1)

  • Filter: ((type)::text = 'salesBundle'::text)
  • Rows Removed by Filter: 4,315
  • Buffers: shared hit=218
136. 0.031 0.065 ↑ 1.0 227 1

Hash (cost=5.27..5.27 rows=227 width=32) (actual time=0.065..0.065 rows=227 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 23kB
  • Buffers: shared hit=3
137. 0.034 0.034 ↑ 1.0 227 1

Seq Scan on "IndustryCut" ic_2 (cost=0.00..5.27 rows=227 width=32) (actual time=0.004..0.034 rows=227 loops=1)

  • Buffers: shared hit=3
138. 0.014 0.028 ↑ 1.0 100 1

Hash (cost=2.00..2.00 rows=100 width=32) (actual time=0.028..0.028 rows=100 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 15kB
  • Buffers: shared hit=1
139. 0.014 0.014 ↑ 1.0 100 1

Seq Scan on "ProductSubcategory" psc_2 (cost=0.00..2.00 rows=100 width=32) (actual time=0.004..0.014 rows=100 loops=1)

  • Buffers: shared hit=1
140. 0.009 0.017 ↑ 3.7 38 1

Hash (cost=11.40..11.40 rows=140 width=32) (actual time=0.017..0.017 rows=38 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 11kB
  • Buffers: shared hit=1
141. 0.008 0.008 ↑ 3.7 38 1

Seq Scan on "ProductCategory" pc_2 (cost=0.00..11.40 rows=140 width=32) (actual time=0.004..0.008 rows=38 loops=1)

  • Buffers: shared hit=1
142. 0.004 0.016 ↑ 20.0 7 1

Hash (cost=11.40..11.40 rows=140 width=16) (actual time=0.016..0.016 rows=7 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 9kB
  • Buffers: shared hit=1
143. 0.012 0.012 ↑ 20.0 7 1

Seq Scan on "BusinessLine" bl_2 (cost=0.00..11.40 rows=140 width=16) (actual time=0.010..0.012 rows=7 loops=1)

  • Buffers: shared hit=1
144. 3.978 3.978 ↑ 1.0 3 663

Index Scan using marketproductvariant_productvariantid_marketid_unique on "MarketProductVariant" mpv_3 (cost=0.41..2.53 rows=3 width=48) (actual time=0.003..0.006 rows=3 loops=663)

  • Index Cond: ("productVariantId" = pv_2.id)
  • Buffers: shared hit=3,686
145. 21.534 21.606 ↑ 1.0 63 7,202

Materialize (cost=13.15..16.26 rows=63 width=16) (actual time=0.000..0.003 rows=63 loops=7,202)

  • Buffers: shared hit=3
146. 0.028 0.072 ↑ 1.0 63 1

Hash Join (cost=13.15..15.95 rows=63 width=16) (actual time=0.050..0.072 rows=63 loops=1)

  • Hash Cond: (sb_2."brandId" = b_2.id)
  • Buffers: shared hit=3
147. 0.027 0.027 ↑ 1.0 63 1

Seq Scan on "SubBrand" sb_2 (cost=0.00..2.63 rows=63 width=32) (actual time=0.017..0.027 rows=63 loops=1)

  • Buffers: shared hit=2
148. 0.009 0.017 ↑ 4.2 33 1

Hash (cost=11.40..11.40 rows=140 width=16) (actual time=0.017..0.017 rows=33 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 10kB
  • Buffers: shared hit=1
149. 0.008 0.008 ↑ 4.2 33 1

Seq Scan on "Brand" b_2 (cost=0.00..11.40 rows=140 width=16) (actual time=0.004..0.008 rows=33 loops=1)

  • Buffers: shared hit=1
150. 0.000 0.000 ↑ 1.0 1 7,202

Materialize (cost=0.14..8.17 rows=1 width=32) (actual time=0.000..0.000 rows=1 loops=7,202)

  • Buffers: shared hit=2
151. 0.024 0.024 ↑ 1.0 1 1

Index Only Scan using producttype_name_unique on "ProductType" pt_2 (cost=0.14..8.16 rows=1 width=32) (actual time=0.023..0.024 rows=1 loops=1)

  • Index Cond: (name = 'salesBundle'::text)
  • Heap Fetches: 1
  • Buffers: shared hit=2
152. 827.886 828.230 ↑ 1.0 2,148 7,202

Materialize (cost=0.00..100.22 rows=2,148 width=43) (actual time=0.000..0.115 rows=2,148 loops=7,202)

  • Buffers: shared hit=68
153. 0.344 0.344 ↑ 1.0 2,148 1

Seq Scan on "MarketProductVariantSalesBundleEntry" mpvsbe (cost=0.00..89.48 rows=2,148 width=43) (actual time=0.053..0.344 rows=2,148 loops=1)

  • Buffers: shared hit=68
154. 17.176 17.176 ↑ 1.0 1 8,588

Index Only Scan using "Form_pkey" on "Form" f_2 (cost=0.14..2.16 rows=1 width=16) (actual time=0.002..0.002 rows=1 loops=8,588)

  • Index Cond: (id = p_2."formId")
  • Heap Fetches: 8,588
  • Buffers: shared hit=17,176
155. 17.176 17.176 ↑ 1.0 1 8,588

Index Only Scan using "Demographic_pkey" on "Demographic" d_2 (cost=0.14..2.16 rows=1 width=16) (actual time=0.002..0.002 rows=1 loops=8,588)

  • Index Cond: (id = p_2."demographicId")
  • Heap Fetches: 8,588
  • Buffers: shared hit=17,176
156. 17.176 17.176 ↑ 1.0 1 8,588

Index Only Scan using "MarketingManaged_pkey" on "MarketingManaged" mm_2 (cost=0.14..2.16 rows=1 width=16) (actual time=0.002..0.002 rows=1 loops=8,588)

  • Index Cond: (id = p_2."marketingManagedId")
  • Heap Fetches: 8,588
  • Buffers: shared hit=17,176
157. 17.176 17.176 ↑ 1.0 1 8,588

Index Only Scan using "MarketingFocus_pkey" on "MarketingFocus" mf_2 (cost=0.14..2.16 rows=1 width=16) (actual time=0.002..0.002 rows=1 loops=8,588)

  • Index Cond: (id = p_2."marketingFocusId")
  • Heap Fetches: 8,588
  • Buffers: shared hit=17,176
158. 17.176 17.176 ↑ 1.0 1 8,588

Index Scan using "MarketProductVariant_pkey" on "MarketProductVariant" mpv_2 (cost=0.41..4.98 rows=1 width=48) (actual time=0.002..0.002 rows=1 loops=8,588)

  • Index Cond: (id = mpvsbe."marketProductVariantId")
  • Buffers: shared hit=34,374
159. 17.176 17.176 ↑ 1.0 1 8,588

Index Scan using "ProductVariant_pkey" on "ProductVariant" pv_1 (cost=0.29..0.32 rows=1 width=32) (actual time=0.002..0.002 rows=1 loops=8,588)

  • Index Cond: (id = mpv_2."productVariantId")
  • Buffers: shared hit=25,800
160. 17.176 17.176 ↑ 1.0 1 8,588

Index Scan using "Product_pkey" on "Product" p_1 (cost=0.28..0.42 rows=1 width=132) (actual time=0.002..0.002 rows=1 loops=8,588)

  • Index Cond: (id = pv_1."productId")
  • Buffers: shared hit=25,764
161. 34.170 34.352 ↓ 37.5 75 8,588

Materialize (cost=8.44..11.18 rows=2 width=564) (actual time=0.000..0.004 rows=75 loops=8,588)

  • Buffers: shared hit=94
162. 0.016 0.182 ↓ 37.5 75 1

Nested Loop (cost=8.44..11.17 rows=2 width=564) (actual time=0.049..0.182 rows=75 loops=1)

  • Buffers: shared hit=94
163. 0.028 0.066 ↓ 20.0 20 1

Hash Join (cost=8.17..10.45 rows=1 width=564) (actual time=0.037..0.066 rows=20 loops=1)

  • Hash Cond: (psc_1."productCategoryId" = pc_1.id)
  • Buffers: shared hit=3
164. 0.019 0.019 ↑ 1.0 100 1

Seq Scan on "ProductSubcategory" psc_1 (cost=0.00..2.00 rows=100 width=32) (actual time=0.006..0.019 rows=100 loops=1)

  • Buffers: shared hit=1
165. 0.008 0.019 ↓ 5.0 5 1

Hash (cost=8.16..8.16 rows=1 width=548) (actual time=0.019..0.019 rows=5 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 9kB
  • Buffers: shared hit=2
166. 0.011 0.011 ↓ 5.0 5 1

Index Scan using productcategory_businesslineid_name_unique on "ProductCategory" pc_1 (cost=0.14..8.16 rows=1 width=548) (actual time=0.010..0.011 rows=5 loops=1)

  • Index Cond: ("businessLineId" = '50578e14-1825-4003-978e-620e3495e915'::uuid)
  • Buffers: shared hit=2
167. 0.100 0.100 ↓ 2.0 4 20

Index Scan using industrycut_productsubcategoryid_name_unique on "IndustryCut" ic_1 (cost=0.27..0.71 rows=2 width=32) (actual time=0.003..0.005 rows=4 loops=20)

  • Index Cond: ("productSubcategoryId" = psc_1.id)
  • Buffers: shared hit=91
168. 2.386 2.386 ↑ 1.0 1 1,193

Index Only Scan using "BusinessLine_pkey" on "BusinessLine" bl_1 (cost=0.14..8.16 rows=1 width=16) (actual time=0.001..0.002 rows=1 loops=1,193)

  • Index Cond: (id = '50578e14-1825-4003-978e-620e3495e915'::uuid)
  • Heap Fetches: 1,193
  • Buffers: shared hit=2,386
169. 2.386 2.386 ↑ 1.0 1 1,193

Index Scan using "Market_pkey" on "Market" (cost=0.14..0.16 rows=1 width=32) (actual time=0.002..0.002 rows=1 loops=1,193)

  • Index Cond: (id = mpv_2."marketId")
  • Filter: (NOT "isHidden")
  • Buffers: shared hit=2,386
170. 2.386 2.386 ↑ 1.0 1 1,193

Index Scan using "Subregion_pkey" on "Subregion" sr_1 (cost=0.14..0.99 rows=1 width=32) (actual time=0.002..0.002 rows=1 loops=1,193)

  • Index Cond: (id = "Market"."subregionId")
  • Buffers: shared hit=2,386
171. 2.386 2.386 ↑ 1.0 1 1,193

Index Only Scan using "Region_pkey" on "Region" r_1 (cost=0.13..0.24 rows=1 width=16) (actual time=0.002..0.002 rows=1 loops=1,193)

  • Index Cond: (id = sr_1."regionId")
  • Heap Fetches: 1,193
  • Buffers: shared hit=2,386
172. 2.386 2.386 ↑ 1.0 1 1,193

Index Scan using "SubBrand_pkey" on "SubBrand" sb_1 (cost=0.14..0.16 rows=1 width=32) (actual time=0.002..0.002 rows=1 loops=1,193)

  • Index Cond: (id = p_1."subBrandId")
  • Buffers: shared hit=2,386
173. 1.193 1.193 ↑ 1.0 1 1,193

Index Only Scan using "Brand_pkey" on "Brand" b_1 (cost=0.14..0.92 rows=1 width=16) (actual time=0.001..0.001 rows=1 loops=1,193)

  • Index Cond: (id = sb_1."brandId")
  • Heap Fetches: 1,193
  • Buffers: shared hit=2,386
174. 2.386 2.386 ↑ 1.0 1 1,193

Index Only Scan using producttype_name_unique on "ProductType" pt_1 (cost=0.15..0.18 rows=1 width=32) (actual time=0.002..0.002 rows=1 loops=1,193)

  • Index Cond: (name = (p_1.type)::text)
  • Heap Fetches: 1,193
  • Buffers: shared hit=2,386
175. 2.386 2.386 ↑ 1.0 1 1,193

Index Only Scan using "Form_pkey" on "Form" f_1 (cost=0.14..0.17 rows=1 width=16) (actual time=0.002..0.002 rows=1 loops=1,193)

  • Index Cond: (id = p_1."formId")
  • Heap Fetches: 1,193
  • Buffers: shared hit=2,386
176. 2.386 2.386 ↑ 1.0 1 1,193

Index Only Scan using "Demographic_pkey" on "Demographic" d_1 (cost=0.14..0.17 rows=1 width=16) (actual time=0.002..0.002 rows=1 loops=1,193)

  • Index Cond: (id = p_1."demographicId")
  • Heap Fetches: 1,193
  • Buffers: shared hit=2,386
177. 2.386 2.386 ↑ 1.0 1 1,193

Index Only Scan using "MarketingManaged_pkey" on "MarketingManaged" mm_1 (cost=0.14..0.17 rows=1 width=16) (actual time=0.002..0.002 rows=1 loops=1,193)

  • Index Cond: (id = p_1."marketingManagedId")
  • Heap Fetches: 1,193
  • Buffers: shared hit=2,386
178. 2.386 2.386 ↑ 1.0 1 1,193

Index Only Scan using "MarketingFocus_pkey" on "MarketingFocus" mf_1 (cost=0.14..0.17 rows=1 width=16) (actual time=0.002..0.002 rows=1 loops=1,193)

  • Index Cond: (id = p_1."marketingFocusId")
  • Heap Fetches: 1,193
  • Buffers: shared hit=2,386
179. 1.193 1.193 ↑ 1.0 1 1,193

Index Scan using "Currency_pkey" on "Currency" c_1 (cost=0.14..0.36 rows=1 width=20) (actual time=0.001..0.001 rows=1 loops=1,193)

  • Index Cond: (id = m_2."currencyId")
  • Buffers: shared hit=2,386
Planning time : 23.753 ms
Execution time : 255,876.381 ms