explain.depesz.com

PostgreSQL's explain analyze made readable

Result: f0hD : flattened query

Settings
# exclusive inclusive rows x rows loops node
1. 9.506 268,312.919 ↓ 11.6 58 1

GroupAggregate (cost=11,670,401.18..11,670,401.32 rows=5 width=556) (actual time=268,301.888..268,312.919 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. 59.021 268,303.413 ↓ 3,793.6 18,968 1

Sort (cost=11,670,401.18..11,670,401.20 rows=5 width=556) (actual time=268,299.916..268,303.413 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. 7.527 268,244.392 ↓ 3,793.6 18,968 1

Append (cost=5,813,945.76..11,670,401.12 rows=5 width=556) (actual time=716.559..268,244.392 rows=18,968 loops=1)

  • Buffers: shared hit=1,331,917, temp read=2,335,518 written=2,001
4. 8.275 265,031.250 ↓ 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=716.558..265,031.250 rows=17,775 loops=1)

  • Buffers: shared hit=762,071, temp read=2,334,641 written=1,122
5. 78.699 265,022.975 ↓ 4,443.8 17,775 1

Nested Loop (cost=5,813,945.76..5,820,392.32 rows=4 width=6,696) (actual time=716.557..265,022.975 rows=17,775 loops=1)

  • Buffers: shared hit=762,071, temp read=2,334,641 written=1,122
6. 26.247 264,890.951 ↓ 4,443.8 17,775 1

Nested Loop (cost=5,813,945.61..5,820,383.56 rows=4 width=624) (actual time=716.531..264,890.951 rows=17,775 loops=1)

  • Buffers: shared hit=726,521, temp read=2,334,641 written=1,122
7. 24.911 264,811.379 ↓ 4,443.8 17,775 1

Nested Loop (cost=5,813,945.47..5,820,374.89 rows=4 width=640) (actual time=716.515..264,811.379 rows=17,775 loops=1)

  • Buffers: shared hit=690,971, temp read=2,334,641 written=1,122
8. 29.174 264,733.143 ↓ 4,443.8 17,775 1

Nested Loop (cost=5,813,945.32..5,820,366.21 rows=4 width=656) (actual time=716.500..264,733.143 rows=17,775 loops=1)

  • Buffers: shared hit=655,421, temp read=2,334,641 written=1,122
9. 21.183 264,650.644 ↓ 4,443.8 17,775 1

Nested Loop (cost=5,813,945.18..5,820,357.53 rows=4 width=672) (actual time=716.487..264,650.644 rows=17,775 loops=1)

  • Buffers: shared hit=619,871, temp read=2,334,641 written=1,122
10. 34.560 264,629.461 ↓ 4,443.8 17,775 1

Nested Loop (cost=5,813,945.03..5,820,349.31 rows=4 width=676) (actual time=716.469..264,629.461 rows=17,775 loops=1)

  • Buffers: shared hit=619,869, temp read=2,334,641 written=1,122
11. 33.563 264,559.351 ↓ 4,443.8 17,775 1

Nested Loop (cost=5,813,944.89..5,820,347.86 rows=4 width=688) (actual time=716.457..264,559.351 rows=17,775 loops=1)

  • Buffers: shared hit=584,319, temp read=2,334,641 written=1,122
12. 37.323 264,490.238 ↓ 4,443.8 17,775 1

Nested Loop (cost=5,813,944.75..5,820,344.15 rows=4 width=704) (actual time=716.442..264,490.238 rows=17,775 loops=1)

  • Buffers: shared hit=548,769, temp read=2,334,641 written=1,122
13. 39.531 264,417.365 ↓ 4,443.8 17,775 1

Nested Loop (cost=5,813,944.61..5,820,340.83 rows=4 width=704) (actual time=716.428..264,417.365 rows=17,775 loops=1)

  • Buffers: shared hit=513,219, temp read=2,334,641 written=1,122
14. 32.040 264,324.509 ↓ 4,443.8 17,775 1

Nested Loop (cost=5,813,944.47..5,820,339.86 rows=4 width=720) (actual time=716.413..264,324.509 rows=17,775 loops=1)

  • Buffers: shared hit=477,669, temp read=2,334,641 written=1,122
15. 46.583 264,239.144 ↓ 4,443.8 17,775 1

Nested Loop (cost=5,813,944.33..5,820,335.94 rows=4 width=720) (actual time=716.399..264,239.144 rows=17,775 loops=1)

  • Buffers: shared hit=442,119, temp read=2,334,641 written=1,122
16. 31,354.404 264,103.686 ↓ 4,443.8 17,775 1

Nested Loop (cost=5,813,944.19..5,820,335.31 rows=4 width=704) (actual time=716.374..264,103.686 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. 11.990 183.218 ↓ 4,168.0 4,168 1

Nested Loop (cost=9.57..961.37 rows=1 width=648) (actual time=0.228..183.218 rows=4,168 loops=1)

  • Buffers: shared hit=24,170
18. 9.924 137.884 ↓ 4,168.0 4,168 1

Nested Loop (cost=9.42..953.20 rows=1 width=664) (actual time=0.222..137.884 rows=4,168 loops=1)

  • Buffers: shared hit=15,834
19. 4.970 89.320 ↓ 2,415.0 2,415 1

Nested Loop (cost=9.01..950.64 rows=1 width=648) (actual time=0.211..89.320 rows=2,415 loops=1)

  • Buffers: shared hit=4,392
20. 28.368 64.910 ↓ 972.0 972 1

Nested Loop (cost=8.73..940.46 rows=1 width=648) (actual time=0.203..64.910 rows=972 loops=1)

  • Join Filter: (ic.id = p."industryCutId")
  • Rows Removed by Join Filter: 322,653
  • Buffers: shared hit=314
21. 10.652 10.652 ↓ 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=0.033..10.652 rows=4,315 loops=1)

  • Filter: ((type)::text = 'finishedGood'::text)
  • Rows Removed by Filter: 549
  • Buffers: shared hit=220
22. 25.759 25.890 ↓ 37.5 75 4,315

Materialize (cost=8.44..11.18 rows=2 width=564) (actual time=0.000..0.006 rows=75 loops=4,315)

  • Buffers: shared hit=94
23. 0.019 0.131 ↓ 37.5 75 1

Nested Loop (cost=8.44..11.17 rows=2 width=564) (actual time=0.038..0.131 rows=75 loops=1)

  • Buffers: shared hit=94
24. 0.020 0.052 ↓ 20.0 20 1

Hash Join (cost=8.17..10.45 rows=1 width=564) (actual time=0.031..0.052 rows=20 loops=1)

  • Hash Cond: (psc."productCategoryId" = pc.id)
  • Buffers: shared hit=3
25. 0.013 0.013 ↑ 1.0 100 1

Seq Scan on "ProductSubcategory" psc (cost=0.00..2.00 rows=100 width=32) (actual time=0.004..0.013 rows=100 loops=1)

  • Buffers: shared hit=1
26. 0.006 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
27. 0.013 0.013 ↓ 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=0.011..0.013 rows=5 loops=1)

  • Index Cond: ("businessLineId" = '50578e14-1825-4003-978e-620e3495e915'::uuid)
  • Buffers: shared hit=2
28. 0.060 0.060 ↓ 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=0.002..0.003 rows=4 loops=20)

  • Index Cond: ("productSubcategoryId" = psc.id)
  • Buffers: shared hit=91
29. 19.440 19.440 ↑ 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=0.010..0.020 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. 33.344 33.344 ↑ 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..0.008 rows=1 loops=4,168)

  • Index Cond: (id = '50578e14-1825-4003-978e-620e3495e915'::uuid)
  • Heap Fetches: 4,168
  • Buffers: shared hit=8,336
32. 184,946.647 232,566.064 ↑ 1.2 94,087 4,168

Group (cost=5,813,934.62..5,816,797.42 rows=114,512 width=96) (actual time=0.172..55.798 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 0.017 ↑ 1.0 1 1

Limit (cost=33.55..33.55 rows=1 width=24) (actual time=0.016..0.017 rows=1 loops=1)

  • Buffers: shared hit=1
35. 0.013 0.015 ↑ 1,570.0 1 1

Sort (cost=33.55..37.48 rows=1,570 width=24) (actual time=0.015..0.015 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. 47,095.129 47,619.400 ↑ 1.2 94,087 4,168

Sort (cost=5,813,901.07..5,814,187.35 rows=114,512 width=38) (actual time=0.171..11.425 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. 79.053 524.271 ↑ 1.2 94,087 1

Nested Loop (cost=3,210.15..5,801,146.62 rows=114,512 width=38) (actual time=31.845..524.271 rows=94,087 loops=1)

  • Buffers: shared hit=382,399
39. 63.034 162.957 ↓ 1.6 94,087 1

Hash Full Join (cost=3,194.44..4,669,995.51 rows=57,257 width=56) (actual time=31.826..162.957 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. 45.952 68.140 ↑ 1,570.8 124,880 1

Nested Loop (cost=0.00..2,455,037.42 rows=196,162,080 width=28) (actual time=0.029..68.140 rows=124,880 loops=1)

  • Buffers: shared hit=1,422
41. 22.188 22.188 ↑ 1.0 124,880 1

Seq Scan on "MonthlyMarketProductVariantDemand" m_1 (cost=0.00..2,981.80 rows=124,944 width=28) (actual time=0.025..22.188 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. 6.055 31.783 ↓ 51.7 30,500 1

Hash (cost=3,184.12..3,184.12 rows=590 width=28) (actual time=31.783..31.783 rows=30,500 loops=1)

  • Buckets: 32,768 (originally 1024) Batches: 1 (originally 1) Memory Usage: 2,044kB
  • Buffers: shared hit=1,343
45. 15.748 25.728 ↓ 51.7 30,500 1

Hash Join (cost=41.75..3,184.12 rows=590 width=28) (actual time=0.021..25.728 rows=30,500 loops=1)

  • Hash Cond: ((forecast."forecastImportId" = abf."forecastImportId") AND (forecast.year = abf.year))
  • Buffers: shared hit=1,343
46. 9.976 9.976 ↑ 1.0 118,009 1

Seq Scan on "MonthlyMarketProductVariantForecast" forecast (cost=0.00..2,522.57 rows=118,057 width=44) (actual time=0.003..9.976 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=0.002..0.002 rows=1 loops=1)

  • Buffers: shared hit=1
49. 94.087 282.261 ↑ 2.0 1 94,087

Bitmap Heap Scan on "MarketProductVariant" mpv_1 (cost=15.71..19.74 rows=2 width=22) (actual time=0.003..0.003 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. 0.000 188.174 ↓ 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
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. 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_1."marketProductVariantId" = id)
  • Buffers: shared hit=192,879
53. 88.875 88.875 ↑ 1.0 1 17,775

Index Scan using "Market_pkey" on "Market" m (cost=0.14..0.16 rows=1 width=48) (actual time=0.005..0.005 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. 35.550 35.550 ↑ 1.0 1 17,775

Index Scan using "SubBrand_pkey" on "SubBrand" sb (cost=0.14..0.82 rows=1 width=32) (actual time=0.002..0.002 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. 0.014 0.014 ↑ 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=0.013..0.014 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. 0.251 3,205.615 ↓ 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=748.314..3,205.615 rows=1,193 loops=1)

  • Buffers: shared hit=569,846, temp read=877 written=879
66. 2.947 3,205.364 ↓ 1,193.0 1,193 1

Nested Loop (cost=5,829,472.02..5,850,008.75 rows=1 width=6,696) (actual time=748.312..3,205.364 rows=1,193 loops=1)

  • Buffers: shared hit=569,846, temp read=877 written=879
67. 0.539 3,201.224 ↓ 1,193.0 1,193 1

Nested Loop (cost=5,829,471.88..5,850,008.35 rows=1 width=591) (actual time=748.290..3,201.224 rows=1,193 loops=1)

  • Buffers: shared hit=567,460, temp read=877 written=879
68. 0.482 3,198.299 ↓ 1,193.0 1,193 1

Nested Loop (cost=5,829,471.74..5,850,008.18 rows=1 width=607) (actual time=748.278..3,198.299 rows=1,193 loops=1)

  • Buffers: shared hit=565,074, temp read=877 written=879
69. 0.539 3,193.045 ↓ 1,193.0 1,193 1

Nested Loop (cost=5,829,471.59..5,850,008.00 rows=1 width=623) (actual time=748.266..3,193.045 rows=1,193 loops=1)

  • Buffers: shared hit=562,688, temp read=877 written=879
70. 0.639 3,190.120 ↓ 1,193.0 1,193 1

Nested Loop (cost=5,829,471.45..5,850,007.83 rows=1 width=639) (actual time=748.252..3,190.120 rows=1,193 loops=1)

  • Buffers: shared hit=560,302, temp read=877 written=879
71. 2.082 3,187.095 ↓ 1,193.0 1,193 1

Nested Loop (cost=5,829,471.30..5,850,007.66 rows=1 width=655) (actual time=748.240..3,187.095 rows=1,193 loops=1)

  • Buffers: shared hit=557,916, temp read=877 written=879
72. 1.143 3,183.820 ↓ 1,193.0 1,193 1

Nested Loop (cost=5,829,471.15..5,850,007.48 rows=1 width=659) (actual time=748.224..3,183.820 rows=1,193 loops=1)

  • Buffers: shared hit=555,530, temp read=877 written=879
73. 1.323 3,181.484 ↓ 1,193.0 1,193 1

Nested Loop (cost=5,829,471.01..5,850,006.54 rows=1 width=675) (actual time=748.211..3,181.484 rows=1,193 loops=1)

  • Buffers: shared hit=553,144, temp read=877 written=879
74. 0.852 3,178.968 ↓ 1,193.0 1,193 1

Nested Loop (cost=5,829,470.87..5,850,006.38 rows=1 width=675) (actual time=748.197..3,178.968 rows=1,193 loops=1)

  • Buffers: shared hit=550,758, temp read=877 written=879
75. 1.516 3,175.730 ↓ 1,193.0 1,193 1

Nested Loop (cost=5,829,470.74..5,850,006.11 rows=1 width=691) (actual time=748.183..3,175.730 rows=1,193 loops=1)

  • Buffers: shared hit=548,372, temp read=877 written=879
76. 1.532 3,173.021 ↓ 1,193.0 1,193 1

Nested Loop (cost=5,829,470.59..5,850,005.11 rows=1 width=691) (actual time=748.168..3,173.021 rows=1,193 loops=1)

  • Buffers: shared hit=545,986, temp read=877 written=879
77. 1.383 3,170.296 ↓ 1,193.0 1,193 1

Nested Loop (cost=5,829,470.45..5,850,004.95 rows=1 width=691) (actual time=748.151..3,170.296 rows=1,193 loops=1)

  • Buffers: shared hit=543,600, temp read=877 written=879
78. 49.709 3,167.720 ↓ 1,193.0 1,193 1

Nested Loop (cost=5,829,470.31..5,849,996.78 rows=1 width=707) (actual time=748.139..3,167.720 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. 4.559 3,083.659 ↓ 209.5 8,588 1

Nested Loop (cost=5,829,461.86..5,849,984.37 rows=41 width=175) (actual time=743.605..3,083.659 rows=8,588 loops=1)

  • Buffers: shared hit=541,120, temp read=877 written=879
80. 3.622 3,061.924 ↓ 209.5 8,588 1

Nested Loop (cost=5,829,461.58..5,849,967.21 rows=41 width=91) (actual time=743.590..3,061.924 rows=8,588 loops=1)

  • Buffers: shared hit=515,356, temp read=877 written=879
81. 8.068 3,041.126 ↓ 209.5 8,588 1

Nested Loop (cost=5,829,461.29..5,849,954.06 rows=41 width=91) (actual time=743.575..3,041.126 rows=8,588 loops=1)

  • Buffers: shared hit=489,556, temp read=877 written=879
82. 2.519 3,015.882 ↓ 209.5 8,588 1

Nested Loop (cost=5,829,460.88..5,849,749.75 rows=41 width=75) (actual time=743.556..3,015.882 rows=8,588 loops=1)

  • Buffers: shared hit=455,182, temp read=877 written=879
83. 2.479 2,996.187 ↓ 209.5 8,588 1

Nested Loop (cost=5,829,460.74..5,849,661.06 rows=41 width=91) (actual time=743.542..2,996.187 rows=8,588 loops=1)

  • Buffers: shared hit=438,006, temp read=877 written=879
84. 4.515 2,976.532 ↓ 209.5 8,588 1

Nested Loop (cost=5,829,460.59..5,849,572.37 rows=41 width=107) (actual time=743.528..2,976.532 rows=8,588 loops=1)

  • Buffers: shared hit=420,830, temp read=877 written=879
85. 6.846 2,954.841 ↓ 209.5 8,588 1

Nested Loop (cost=5,829,460.45..5,849,483.68 rows=41 width=123) (actual time=743.514..2,954.841 rows=8,588 loops=1)

  • Buffers: shared hit=403,654, temp read=877 written=879
86. 1,311.830 2,930.819 ↓ 209.5 8,588 1

Nested Loop (cost=5,829,460.30..5,849,394.99 rows=41 width=139) (actual time=743.497..2,930.819 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. 3.032 877.183 ↓ 12.7 7,202 1

Nested Loop (cost=5,829,460.30..5,831,095.84 rows=565 width=144) (actual time=741.203..877.183 rows=7,202 loops=1)

  • Buffers: shared hit=386,410, temp read=877 written=879
88. 42.313 874.151 ↓ 12.7 7,202 1

Nested Loop (cost=5,829,460.16..5,831,080.61 rows=565 width=148) (actual time=741.177..874.151 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. 46.987 810.232 ↓ 12.7 7,202 1

Nested Loop (cost=5,829,447.01..5,830,530.58 rows=565 width=164) (actual time=741.124..810.232 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. 0.120 0.313 ↑ 1.0 58 1

Merge Join (cost=22.81..23.93 rows=59 width=48) (actual time=0.145..0.313 rows=58 loops=1)

  • Merge Cond: (m_2."currencyId" = c_2.id)
  • Buffers: shared hit=6
91. 0.061 0.152 ↑ 1.0 59 1

Sort (cost=19.90..20.05 rows=59 width=32) (actual time=0.117..0.152 rows=59 loops=1)

  • Sort Key: m_2."currencyId
  • Sort Method: quicksort Memory: 29kB
  • Buffers: shared hit=5
92. 0.028 0.091 ↑ 1.0 59 1

Hash Join (cost=14.26..18.16 rows=59 width=32) (actual time=0.052..0.091 rows=59 loops=1)

  • Hash Cond: (sr_2."regionId" = r_2.id)
  • Buffers: shared hit=5
93. 0.021 0.049 ↑ 1.0 59 1

Hash Join (cost=13.15..16.89 rows=59 width=48) (actual time=0.021..0.049 rows=59 loops=1)

  • Hash Cond: (m_2."subregionId" = sr_2.id)
  • Buffers: shared hit=4
94. 0.018 0.018 ↑ 1.0 59 1

Seq Scan on "Market" m_2 (cost=0.00..3.59 rows=59 width=48) (actual time=0.004..0.018 rows=59 loops=1)

  • Buffers: shared hit=3
95. 0.004 0.010 ↑ 10.0 14 1

Hash (cost=11.40..11.40 rows=140 width=32) (actual time=0.010..0.010 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 0.014 ↓ 1.2 6 1

Hash (cost=1.05..1.05 rows=5 width=16) (actual time=0.013..0.014 rows=6 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 9kB
  • Buffers: shared hit=1
98. 0.008 0.008 ↓ 1.2 6 1

Seq Scan on "Region" r_2 (cost=0.00..1.05 rows=5 width=16) (actual time=0.007..0.008 rows=6 loops=1)

  • Buffers: shared hit=1
99. 0.031 0.041 ↑ 1.0 50 1

Sort (cost=2.91..3.04 rows=50 width=16) (actual time=0.025..0.041 rows=50 loops=1)

  • Sort Key: c_2.id
  • Sort Method: quicksort Memory: 27kB
  • Buffers: shared hit=1
100. 0.010 0.010 ↑ 1.0 50 1

Seq Scan on "Currency" c_2 (cost=0.00..1.50 rows=50 width=16) (actual time=0.005..0.010 rows=50 loops=1)

  • Buffers: shared hit=1
101. 25.927 762.932 ↓ 12.7 7,202 58

Materialize (cost=5,829,424.20..5,830,008.04 rows=565 width=148) (actual time=12.284..13.154 rows=7,202 loops=58)

  • Buffers: shared hit=386,399, temp read=877 written=879
102. 11.285 737.005 ↓ 12.7 7,202 1

Merge Join (cost=5,829,424.20..5,830,005.22 rows=565 width=148) (actual time=712.449..737.005 rows=7,202 loops=1)

  • Merge Cond: (rf."marketProductVariantId" = mpv_3.id)
  • Buffers: shared hit=386,399, temp read=877 written=879
103. 71.925 714.158 ↑ 1.2 94,083 1

Sort (cost=5,828,767.87..5,829,054.15 rows=114,512 width=32) (actual time=701.354..714.158 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. 9.326 642.233 ↑ 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=604.411..642.233 rows=94,087 loops=1)

  • Buffers: shared hit=382,399, temp read=439 written=440
105. 18.002 632.907 ↑ 1.2 94,087 1

Group (cost=5,813,542.62..5,815,260.30 rows=114,512 width=96) (actual time=604.410..632.907 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. 0.002 0.018 ↑ 1.0 1 1

Limit (cost=33.55..33.55 rows=1 width=24) (actual time=0.016..0.018 rows=1 loops=1)

  • Buffers: shared hit=1
108. 0.014 0.016 ↑ 1,570.0 1 1

Sort (cost=33.55..37.48 rows=1,570 width=24) (actual time=0.015..0.016 rows=1 loops=1)

  • Sort Key: fi_3."importedAt" DESC
  • Sort Method: quicksort Memory: 25kB
  • Buffers: shared hit=1
109. 0.002 0.002 ↑ 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..0.002 rows=1 loops=1)

  • Buffers: shared hit=1
110. 151.546 614.887 ↑ 1.2 94,087 1

Sort (cost=5,813,509.07..5,813,795.35 rows=114,512 width=32) (actual time=604.407..614.887 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. 35.247 463.341 ↑ 1.2 94,087 1

Nested Loop (cost=3,210.15..5,801,146.62 rows=114,512 width=32) (actual time=31.996..463.341 rows=94,087 loops=1)

  • Buffers: shared hit=382,399
112. 54.678 145.833 ↓ 1.6 94,087 1

Hash Full Join (cost=3,194.44..4,669,995.51 rows=57,257 width=56) (actual time=31.974..145.833 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. 40.138 59.238 ↑ 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..59.238 rows=124,880 loops=1)

  • Buffers: shared hit=1,422
114. 19.100 19.100 ↑ 1.0 124,880 1

Seq Scan on "MonthlyMarketProductVariantDemand" m_3 (cost=0.00..2,981.80 rows=124,944 width=28) (actual time=0.030..19.100 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. 6.022 31.917 ↓ 51.7 30,500 1

Hash (cost=3,184.12..3,184.12 rows=590 width=28) (actual time=31.917..31.917 rows=30,500 loops=1)

  • Buckets: 32,768 (originally 1024) Batches: 1 (originally 1) Memory Usage: 2,044kB
  • Buffers: shared hit=1,343
118. 15.868 25.895 ↓ 51.7 30,500 1

Hash Join (cost=41.75..3,184.12 rows=590 width=28) (actual time=0.022..25.895 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. 10.023 10.023 ↑ 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..10.023 rows=118,009 loops=1)

  • Buffers: shared hit=1,342
120. 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
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. 1.732 11.562 ↓ 57.6 8,416 1

Sort (cost=656.33..656.69 rows=146 width=116) (actual time=11.032..11.562 rows=8,416 loops=1)

  • Sort Key: mpv_3.id
  • Sort Method: quicksort Memory: 672kB
  • Buffers: shared hit=4,000
127. 0.912 9.830 ↓ 14.8 2,168 1

Nested Loop (cost=341.49..651.08 rows=146 width=116) (actual time=1.676..9.830 rows=2,168 loops=1)

  • Buffers: shared hit=4,000
128. 0.199 4.940 ↓ 15.4 663 1

Hash Join (cost=341.08..541.05 rows=43 width=100) (actual time=1.657..4.940 rows=663 loops=1)

  • Hash Cond: (pc_2."businessLineId" = bl_2.id)
  • Buffers: shared hit=314
129. 0.199 4.727 ↓ 15.4 663 1

Hash Join (cost=327.93..527.78 rows=43 width=116) (actual time=1.632..4.727 rows=663 loops=1)

  • Hash Cond: (psc_2."productCategoryId" = pc_2.id)
  • Buffers: shared hit=313
130. 0.194 4.510 ↓ 15.4 663 1

Hash Join (cost=314.78..514.52 rows=43 width=116) (actual time=1.601..4.510 rows=663 loops=1)

  • Hash Cond: (ic_2."productSubcategoryId" = psc_2.id)
  • Buffers: shared hit=312
131. 0.197 4.284 ↓ 15.4 663 1

Hash Join (cost=311.53..511.16 rows=43 width=116) (actual time=1.559..4.284 rows=663 loops=1)

  • Hash Cond: (p_2."industryCutId" = ic_2.id)
  • Buffers: shared hit=311
132. 1.218 4.019 ↓ 15.4 663 1

Hash Join (cost=303.42..502.94 rows=43 width=116) (actual time=1.481..4.019 rows=663 loops=1)

  • Hash Cond: (pv_2."productId" = p_2.id)
  • Buffers: shared hit=308
133. 1.338 1.338 ↓ 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..1.338 rows=8,699 loops=1)

  • Buffers: shared hit=90
134. 0.140 1.463 ↓ 22.9 549 1

Hash (cost=303.12..303.12 rows=24 width=132) (actual time=1.463..1.463 rows=549 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 92kB
  • Buffers: shared hit=218
135. 1.323 1.323 ↓ 22.9 549 1

Seq Scan on "Product" p_2 (cost=0.00..303.12 rows=24 width=132) (actual time=0.130..1.323 rows=549 loops=1)

  • Filter: ((type)::text = 'salesBundle'::text)
  • Rows Removed by Filter: 4,315
  • Buffers: shared hit=218
136. 0.036 0.068 ↑ 1.0 227 1

Hash (cost=5.27..5.27 rows=227 width=32) (actual time=0.068..0.068 rows=227 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 23kB
  • Buffers: shared hit=3
137. 0.032 0.032 ↑ 1.0 227 1

Seq Scan on "IndustryCut" ic_2 (cost=0.00..5.27 rows=227 width=32) (actual time=0.004..0.032 rows=227 loops=1)

  • Buffers: shared hit=3
138. 0.018 0.032 ↑ 1.0 100 1

Hash (cost=2.00..2.00 rows=100 width=32) (actual time=0.032..0.032 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. 0.011 0.018 ↑ 3.7 38 1

Hash (cost=11.40..11.40 rows=140 width=32) (actual time=0.018..0.018 rows=38 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 11kB
  • Buffers: shared hit=1
141. 0.007 0.007 ↑ 3.7 38 1

Seq Scan on "ProductCategory" pc_2 (cost=0.00..11.40 rows=140 width=32) (actual time=0.004..0.007 rows=38 loops=1)

  • Buffers: shared hit=1
142. 0.006 0.014 ↑ 20.0 7 1

Hash (cost=11.40..11.40 rows=140 width=16) (actual time=0.014..0.014 rows=7 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 9kB
  • Buffers: shared hit=1
143. 0.008 0.008 ↑ 20.0 7 1

Seq Scan on "BusinessLine" bl_2 (cost=0.00..11.40 rows=140 width=16) (actual time=0.007..0.008 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. 21.543 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. 0.025 0.063 ↑ 1.0 63 1

Hash Join (cost=13.15..15.95 rows=63 width=16) (actual time=0.043..0.063 rows=63 loops=1)

  • Hash Cond: (sb_2."brandId" = b_2.id)
  • Buffers: shared hit=3
147. 0.021 0.021 ↑ 1.0 63 1

Seq Scan on "SubBrand" sb_2 (cost=0.00..2.63 rows=63 width=32) (actual time=0.011..0.021 rows=63 loops=1)

  • Buffers: shared hit=2
148. 0.008 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. 0.009 0.009 ↑ 4.2 33 1

Seq Scan on "Brand" b_2 (cost=0.00..11.40 rows=140 width=16) (actual time=0.005..0.009 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. 0.023 0.023 ↑ 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=0.022..0.023 rows=1 loops=1)

  • Index Cond: (name = 'salesBundle'::text)
  • Heap Fetches: 1
  • Buffers: shared hit=2
152. 741.455 741.806 ↑ 1.0 2,148 7,202

Materialize (cost=0.00..100.22 rows=2,148 width=43) (actual time=0.000..0.103 rows=2,148 loops=7,202)

  • Buffers: shared hit=68
153. 0.351 0.351 ↑ 1.0 2,148 1

Seq Scan on "MarketProductVariantSalesBundleEntry" mpvsbe (cost=0.00..89.48 rows=2,148 width=43) (actual time=0.059..0.351 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. 34.201 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. 0.013 0.151 ↓ 37.5 75 1

Nested Loop (cost=8.44..11.17 rows=2 width=564) (actual time=0.049..0.151 rows=75 loops=1)

  • Buffers: shared hit=94
163. 0.025 0.058 ↓ 20.0 20 1

Hash Join (cost=8.17..10.45 rows=1 width=564) (actual time=0.037..0.058 rows=20 loops=1)

  • Hash Cond: (psc_1."productCategoryId" = pc_1.id)
  • Buffers: shared hit=3
164. 0.016 0.016 ↑ 1.0 100 1

Seq Scan on "ProductSubcategory" psc_1 (cost=0.00..2.00 rows=100 width=32) (actual time=0.006..0.016 rows=100 loops=1)

  • Buffers: shared hit=1
165. 0.005 0.017 ↓ 5.0 5 1

Hash (cost=8.16..8.16 rows=1 width=548) (actual time=0.017..0.017 rows=5 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 9kB
  • Buffers: shared hit=2
166. 0.012 0.012 ↓ 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..0.012 rows=5 loops=1)

  • Index Cond: ("businessLineId" = '50578e14-1825-4003-978e-620e3495e915'::uuid)
  • Buffers: shared hit=2
167. 0.080 0.080 ↓ 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..0.004 rows=4 loops=20)

  • Index Cond: ("productSubcategoryId" = psc_1.id)
  • Buffers: shared hit=91
168. 1.193 1.193 ↑ 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..0.001 rows=1 loops=1,193)

  • Index Cond: (id = '50578e14-1825-4003-978e-620e3495e915'::uuid)
  • Heap Fetches: 1,193
  • Buffers: shared hit=2,386
169. 1.193 1.193 ↑ 1.0 1 1,193

Index Scan using "Market_pkey" on "Market" (cost=0.14..0.16 rows=1 width=32) (actual time=0.001..0.001 rows=1 loops=1,193)

  • Index Cond: (id = mpv_2."marketId")
  • Filter: (NOT "isHidden")
  • Buffers: shared hit=2,386
170. 1.193 1.193 ↑ 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=0.001..0.001 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. 1.193 1.193 ↑ 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=0.001..0.001 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. 1.193 1.193 ↑ 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=0.001..0.001 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. 4.772 4.772 ↑ 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=0.004..0.004 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 : 20.915 ms
Execution time : 268,317.752 ms