explain.depesz.com

PostgreSQL's explain analyze made readable

Result: 4z7b : review1 db (with where clause)

Settings
# exclusive inclusive rows x rows loops node
1. 4.033 268,440.601 ↓ 11.6 58 1

GroupAggregate (cost=11,670,401.18..11,670,401.32 rows=5 width=556) (actual time=268,435.438..268,440.601 rows=58 loops=1)

  • Group Key: "*SELECT* 1"."productCategoryId", "*SELECT* 1"."productCategoryName", "*SELECT* 1".year, "*SELECT* 1".month
  • Buffers: shared hit=1,331,743 read=174, temp read=2,335,518 written=2,001
2. 46.134 268,436.568 ↓ 3,793.6 18,968 1

Sort (cost=11,670,401.18..11,670,401.20 rows=5 width=556) (actual time=268,435.227..268,436.568 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=1,331,743 read=174, temp read=2,335,518 written=2,001
3. 8.834 268,390.434 ↓ 3,793.6 18,968 1

Append (cost=5,813,945.76..11,670,401.12 rows=5 width=556) (actual time=742.464..268,390.434 rows=18,968 loops=1)

  • Buffers: shared hit=1,331,743 read=174, temp read=2,335,518 written=2,001
4. 10.707 264,597.224 ↓ 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=742.463..264,597.224 rows=17,775 loops=1)

  • Buffers: shared hit=761,897 read=174, temp read=2,334,641 written=1,122
5. 120.823 264,586.517 ↓ 4,443.8 17,775 1

Nested Loop (cost=5,813,945.76..5,820,392.32 rows=4 width=6,696) (actual time=742.462..264,586.517 rows=17,775 loops=1)

  • Buffers: shared hit=761,897 read=174, temp read=2,334,641 written=1,122
6. 57.973 264,394.594 ↓ 4,443.8 17,775 1

Nested Loop (cost=5,813,945.61..5,820,383.56 rows=4 width=624) (actual time=742.434..264,394.594 rows=17,775 loops=1)

  • Buffers: shared hit=726,347 read=174, temp read=2,334,641 written=1,122
7. 45.550 264,283.296 ↓ 4,443.8 17,775 1

Nested Loop (cost=5,813,945.47..5,820,374.89 rows=4 width=640) (actual time=742.415..264,283.296 rows=17,775 loops=1)

  • Buffers: shared hit=690,797 read=174, temp read=2,334,641 written=1,122
8. 39.998 264,166.646 ↓ 4,443.8 17,775 1

Nested Loop (cost=5,813,945.32..5,820,366.21 rows=4 width=656) (actual time=742.396..264,166.646 rows=17,775 loops=1)

  • Buffers: shared hit=655,247 read=174, temp read=2,334,641 written=1,122
9. 10.748 264,055.548 ↓ 4,443.8 17,775 1

Nested Loop (cost=5,813,945.18..5,820,357.53 rows=4 width=672) (actual time=742.377..264,055.548 rows=17,775 loops=1)

  • Buffers: shared hit=619,697 read=174, temp read=2,334,641 written=1,122
10. 58.831 264,027.025 ↓ 4,443.8 17,775 1

Nested Loop (cost=5,813,945.03..5,820,349.31 rows=4 width=676) (actual time=742.355..264,027.025 rows=17,775 loops=1)

  • Buffers: shared hit=619,695 read=174, temp read=2,334,641 written=1,122
11. 48.127 263,914.869 ↓ 4,443.8 17,775 1

Nested Loop (cost=5,813,944.89..5,820,347.86 rows=4 width=688) (actual time=742.339..263,914.869 rows=17,775 loops=1)

  • Buffers: shared hit=584,145 read=174, temp read=2,334,641 written=1,122
12. 40.192 263,813.417 ↓ 4,443.8 17,775 1

Nested Loop (cost=5,813,944.75..5,820,344.15 rows=4 width=704) (actual time=742.321..263,813.417 rows=17,775 loops=1)

  • Buffers: shared hit=548,595 read=174, temp read=2,334,641 written=1,122
13. 54.922 263,702.125 ↓ 4,443.8 17,775 1

Nested Loop (cost=5,813,944.61..5,820,340.83 rows=4 width=704) (actual time=742.296..263,702.125 rows=17,775 loops=1)

  • Buffers: shared hit=513,045 read=174, temp read=2,334,641 written=1,122
14. 64.563 263,576.103 ↓ 4,443.8 17,775 1

Nested Loop (cost=5,813,944.47..5,820,339.86 rows=4 width=720) (actual time=738.858..263,576.103 rows=17,775 loops=1)

  • Buffers: shared hit=477,496 read=173, temp read=2,334,641 written=1,122
15. 77.940 263,440.440 ↓ 4,443.8 17,775 1

Nested Loop (cost=5,813,944.33..5,820,335.94 rows=4 width=720) (actual time=738.843..263,440.440 rows=17,775 loops=1)

  • Buffers: shared hit=441,946 read=173, temp read=2,334,641 written=1,122
16. 32,108.735 263,238.075 ↓ 4,443.8 17,775 1

Nested Loop (cost=5,813,944.19..5,820,335.31 rows=4 width=704) (actual time=738.809..263,238.075 rows=17,775 loops=1)

  • Join Filter: (mpv.id = mpv_1.id)
  • Rows Removed by Join Filter: 392,136,841
  • Buffers: shared hit=406,396 read=173, temp read=2,334,641 written=1,122
17. 14.464 338.844 ↓ 4,168.0 4,168 1

Nested Loop (cost=9.57..961.37 rows=1 width=648) (actual time=6.266..338.844 rows=4,168 loops=1)

  • Buffers: shared hit=23,997 read=173
18. 12.229 282.700 ↓ 4,168.0 4,168 1

Nested Loop (cost=9.42..953.20 rows=1 width=664) (actual time=6.258..282.700 rows=4,168 loops=1)

  • Buffers: shared hit=15,661 read=173
19. 5.164 229.416 ↓ 2,415.0 2,415 1

Nested Loop (cost=9.01..950.64 rows=1 width=648) (actual time=6.241..229.416 rows=2,415 loops=1)

  • Buffers: shared hit=4,219 read=173
20. 33.087 97.892 ↓ 972.0 972 1

Nested Loop (cost=8.73..940.46 rows=1 width=648) (actual time=5.431..97.892 rows=972 loops=1)

  • Join Filter: (ic.id = p."industryCutId")
  • Rows Removed by Join Filter: 322,653
  • Buffers: shared hit=201 read=113
21. 43.230 43.230 ↓ 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=2.721..43.230 rows=4,315 loops=1)

  • Filter: ((type)::text = 'finishedGood'::text)
  • Rows Removed by Filter: 549
  • Buffers: shared hit=109 read=111
22. 18.914 21.575 ↓ 37.5 75 4,315

Materialize (cost=8.44..11.18 rows=2 width=564) (actual time=0.001..0.005 rows=75 loops=4,315)

  • Buffers: shared hit=92 read=2
23. 0.018 2.661 ↓ 37.5 75 1

Nested Loop (cost=8.44..11.17 rows=2 width=564) (actual time=2.557..2.661 rows=75 loops=1)

  • Buffers: shared hit=92 read=2
24. 0.024 1.563 ↓ 20.0 20 1

Hash Join (cost=8.17..10.45 rows=1 width=564) (actual time=1.538..1.563 rows=20 loops=1)

  • Hash Cond: (psc."productCategoryId" = pc.id)
  • Buffers: shared hit=2 read=1
25. 0.020 0.020 ↑ 1.0 100 1

Seq Scan on "ProductSubcategory" psc (cost=0.00..2.00 rows=100 width=32) (actual time=0.007..0.020 rows=100 loops=1)

  • Buffers: shared hit=1
26. 0.032 1.519 ↓ 5.0 5 1

Hash (cost=8.16..8.16 rows=1 width=548) (actual time=1.519..1.519 rows=5 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 9kB
  • Buffers: shared hit=1 read=1
27. 1.487 1.487 ↓ 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=1.483..1.487 rows=5 loops=1)

  • Index Cond: ("businessLineId" = '50578e14-1825-4003-978e-620e3495e915'::uuid)
  • Buffers: shared hit=1 read=1
28. 1.080 1.080 ↓ 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=0.053..0.054 rows=4 loops=20)

  • Index Cond: ("productSubcategoryId" = psc.id)
  • Buffers: shared hit=90 read=1
29. 126.360 126.360 ↑ 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=0.118..0.130 rows=2 loops=972)

  • Index Cond: ("productId" = p.id)
  • Buffers: shared hit=4,018 read=60
30. 41.055 41.055 ↑ 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=0.010..0.017 rows=2 loops=2,415)

  • Index Cond: ("productVariantId" = pv.id)
  • Buffers: shared hit=11,442
31. 41.680 41.680 ↑ 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=0.006..0.010 rows=1 loops=4,168)

  • Index Cond: (id = '50578e14-1825-4003-978e-620e3495e915'::uuid)
  • Heap Fetches: 4,168
  • Buffers: shared hit=8,336
32. 183,433.656 230,790.496 ↑ 1.2 94,087 4,168

Group (cost=5,813,934.62..5,816,797.42 rows=114,512 width=96) (actual time=0.175..55.372 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 0.024 ↑ 1.0 1 1

Limit (cost=33.55..33.55 rows=1 width=24) (actual time=0.023..0.024 rows=1 loops=1)

  • Buffers: shared hit=1
35. 0.019 0.022 ↑ 1,570.0 1 1

Sort (cost=33.55..37.48 rows=1,570 width=24) (actual time=0.021..0.022 rows=1 loops=1)

  • Sort Key: fi_2."importedAt" DESC
  • Sort Method: quicksort Memory: 25kB
  • Buffers: shared hit=1
36. 0.003 0.003 ↑ 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..0.003 rows=1 loops=1)

  • Buffers: shared hit=1
37. 46,858.718 47,356.816 ↑ 1.2 94,087 4,168

Sort (cost=5,813,901.07..5,814,187.35 rows=114,512 width=38) (actual time=0.174..11.362 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. 54.686 498.098 ↑ 1.2 94,087 1

Nested Loop (cost=3,210.15..5,801,146.62 rows=114,512 width=38) (actual time=36.485..498.098 rows=94,087 loops=1)

  • Buffers: shared hit=382,399
39. 64.934 161.151 ↓ 1.6 94,087 1

Hash Full Join (cost=3,194.44..4,669,995.51 rows=57,257 width=56) (actual time=36.460..161.151 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. 40.620 59.821 ↑ 1,570.8 124,880 1

Nested Loop (cost=0.00..2,455,037.42 rows=196,162,080 width=28) (actual time=0.042..59.821 rows=124,880 loops=1)

  • Buffers: shared hit=1,422
41. 19.201 19.201 ↑ 1.0 124,880 1

Seq Scan on "MonthlyMarketProductVariantDemand" m_1 (cost=0.00..2,981.80 rows=124,944 width=28) (actual time=0.038..19.201 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. 6.968 36.396 ↓ 51.7 30,500 1

Hash (cost=3,184.12..3,184.12 rows=590 width=28) (actual time=36.396..36.396 rows=30,500 loops=1)

  • Buckets: 32,768 (originally 1024) Batches: 1 (originally 1) Memory Usage: 2,044kB
  • Buffers: shared hit=1,343
45. 17.969 29.428 ↓ 51.7 30,500 1

Hash Join (cost=41.75..3,184.12 rows=590 width=28) (actual time=0.021..29.428 rows=30,500 loops=1)

  • Hash Cond: ((forecast."forecastImportId" = abf."forecastImportId") AND (forecast.year = abf.year))
  • Buffers: shared hit=1,343
46. 11.453 11.453 ↑ 1.0 118,009 1

Seq Scan on "MonthlyMarketProductVariantForecast" forecast (cost=0.00..2,522.57 rows=118,057 width=44) (actual time=0.006..11.453 rows=118,009 loops=1)

  • Buffers: shared hit=1,342
47. 0.003 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
48. 0.003 0.003 ↑ 1,270.0 1 1

Seq Scan on "AnnualBudgetForecast" abf (cost=0.00..22.70 rows=1,270 width=20) (actual time=0.002..0.003 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. 124.425 124.425 ↑ 1.0 1 17,775

Index Scan using "Market_pkey" on "Market" m (cost=0.14..0.16 rows=1 width=48) (actual time=0.007..0.007 rows=1 loops=17,775)

  • Index Cond: (id = mpv."marketId")
  • Buffers: shared hit=35,550
54. 71.100 71.100 ↑ 1.0 1 17,775

Index Scan using "Subregion_pkey" on "Subregion" sr (cost=0.14..0.98 rows=1 width=32) (actual time=0.004..0.004 rows=1 loops=17,775)

  • Index Cond: (id = m."subregionId")
  • Buffers: shared hit=35,550
55. 71.100 71.100 ↑ 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=0.004..0.004 rows=1 loops=17,775)

  • Index Cond: (id = sr."regionId")
  • Heap Fetches: 17,775
  • Buffers: shared hit=35,549 read=1
56. 71.100 71.100 ↑ 1.0 1 17,775

Index Scan using "SubBrand_pkey" on "SubBrand" sb (cost=0.14..0.82 rows=1 width=32) (actual time=0.004..0.004 rows=1 loops=17,775)

  • Index Cond: (id = p."subBrandId")
  • Buffers: shared hit=35,550
57. 53.325 53.325 ↑ 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=0.003..0.003 rows=1 loops=17,775)

  • Index Cond: (id = sb."brandId")
  • Heap Fetches: 17,775
  • Buffers: shared hit=35,550
58. 53.325 53.325 ↑ 1.0 1 17,775

Index Scan using "Currency_pkey" on "Currency" c (cost=0.14..0.36 rows=1 width=20) (actual time=0.003..0.003 rows=1 loops=17,775)

  • Index Cond: (id = m."currencyId")
  • Buffers: shared hit=35,550
59. 17.759 17.775 ↑ 1.0 1 17,775

Materialize (cost=0.14..8.17 rows=1 width=32) (actual time=0.000..0.001 rows=1 loops=17,775)

  • Buffers: shared hit=2
60. 0.016 0.016 ↑ 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=0.015..0.016 rows=1 loops=1)

  • Index Cond: (name = 'finishedGood'::text)
  • Heap Fetches: 1
  • Buffers: shared hit=2
61. 71.100 71.100 ↑ 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=0.004..0.004 rows=1 loops=17,775)

  • Index Cond: (id = p."demographicId")
  • Heap Fetches: 17,775
  • Buffers: shared hit=35,550
62. 71.100 71.100 ↑ 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=0.004..0.004 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. 71.100 71.100 ↑ 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=0.004..0.004 rows=1 loops=17,775)

  • Index Cond: (id = p."formId")
  • Heap Fetches: 17,775
  • Buffers: shared hit=35,550
65. 0.273 3,784.376 ↓ 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=839.169..3,784.376 rows=1,193 loops=1)

  • Buffers: shared hit=569,846, temp read=877 written=879
66. 3.668 3,784.103 ↓ 1,193.0 1,193 1

Nested Loop (cost=5,829,472.02..5,850,008.75 rows=1 width=6,696) (actual time=839.168..3,784.103 rows=1,193 loops=1)

  • Buffers: shared hit=569,846, temp read=877 written=879
67. 2.067 3,779.242 ↓ 1,193.0 1,193 1

Nested Loop (cost=5,829,471.88..5,850,008.35 rows=1 width=591) (actual time=839.147..3,779.242 rows=1,193 loops=1)

  • Buffers: shared hit=567,460, temp read=877 written=879
68. 0.785 3,774.789 ↓ 1,193.0 1,193 1

Nested Loop (cost=5,829,471.74..5,850,008.18 rows=1 width=607) (actual time=839.140..3,774.789 rows=1,193 loops=1)

  • Buffers: shared hit=565,074, temp read=877 written=879
69. 0.652 3,771.618 ↓ 1,193.0 1,193 1

Nested Loop (cost=5,829,471.59..5,850,008.00 rows=1 width=623) (actual time=839.131..3,771.618 rows=1,193 loops=1)

  • Buffers: shared hit=562,688, temp read=877 written=879
70. 0.850 3,768.580 ↓ 1,193.0 1,193 1

Nested Loop (cost=5,829,471.45..5,850,007.83 rows=1 width=639) (actual time=839.124..3,768.580 rows=1,193 loops=1)

  • Buffers: shared hit=560,302, temp read=877 written=879
71. 1.447 3,765.344 ↓ 1,193.0 1,193 1

Nested Loop (cost=5,829,471.30..5,850,007.66 rows=1 width=655) (actual time=839.114..3,765.344 rows=1,193 loops=1)

  • Buffers: shared hit=557,916, temp read=877 written=879
72. 1.443 3,761.511 ↓ 1,193.0 1,193 1

Nested Loop (cost=5,829,471.15..5,850,007.48 rows=1 width=659) (actual time=839.096..3,761.511 rows=1,193 loops=1)

  • Buffers: shared hit=555,530, temp read=877 written=879
73. 1.618 3,758.875 ↓ 1,193.0 1,193 1

Nested Loop (cost=5,829,471.01..5,850,006.54 rows=1 width=675) (actual time=839.083..3,758.875 rows=1,193 loops=1)

  • Buffers: shared hit=553,144, temp read=877 written=879
74. 1.030 3,756.064 ↓ 1,193.0 1,193 1

Nested Loop (cost=5,829,470.87..5,850,006.38 rows=1 width=675) (actual time=839.070..3,756.064 rows=1,193 loops=1)

  • Buffers: shared hit=550,758, temp read=877 written=879
75. 0.647 3,752.648 ↓ 1,193.0 1,193 1

Nested Loop (cost=5,829,470.74..5,850,006.11 rows=1 width=691) (actual time=839.053..3,752.648 rows=1,193 loops=1)

  • Buffers: shared hit=548,372, temp read=877 written=879
76. 0.806 3,749.615 ↓ 1,193.0 1,193 1

Nested Loop (cost=5,829,470.59..5,850,005.11 rows=1 width=691) (actual time=839.037..3,749.615 rows=1,193 loops=1)

  • Buffers: shared hit=545,986, temp read=877 written=879
77. 0.858 3,746.423 ↓ 1,193.0 1,193 1

Nested Loop (cost=5,829,470.45..5,850,004.95 rows=1 width=691) (actual time=839.024..3,746.423 rows=1,193 loops=1)

  • Buffers: shared hit=543,600, temp read=877 written=879
78. 57.769 3,743.179 ↓ 1,193.0 1,193 1

Nested Loop (cost=5,829,470.31..5,849,996.78 rows=1 width=707) (actual time=839.010..3,743.179 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. 8.436 3,651.058 ↓ 209.5 8,588 1

Nested Loop (cost=5,829,461.86..5,849,984.37 rows=41 width=175) (actual time=834.460..3,651.058 rows=8,588 loops=1)

  • Buffers: shared hit=541,120, temp read=877 written=879
80. 8.276 3,625.446 ↓ 209.5 8,588 1

Nested Loop (cost=5,829,461.58..5,849,967.21 rows=41 width=91) (actual time=834.448..3,625.446 rows=8,588 loops=1)

  • Buffers: shared hit=515,356, temp read=877 written=879
81. 3.874 3,599.994 ↓ 209.5 8,588 1

Nested Loop (cost=5,829,461.29..5,849,954.06 rows=41 width=91) (actual time=834.436..3,599.994 rows=8,588 loops=1)

  • Buffers: shared hit=489,556, temp read=877 written=879
82. 5.188 3,570.356 ↓ 209.5 8,588 1

Nested Loop (cost=5,829,460.88..5,849,749.75 rows=41 width=75) (actual time=834.422..3,570.356 rows=8,588 loops=1)

  • Buffers: shared hit=455,182, temp read=877 written=879
83. 5.156 3,547.992 ↓ 209.5 8,588 1

Nested Loop (cost=5,829,460.74..5,849,661.06 rows=41 width=91) (actual time=834.410..3,547.992 rows=8,588 loops=1)

  • Buffers: shared hit=438,006, temp read=877 written=879
84. 5.305 3,525.660 ↓ 209.5 8,588 1

Nested Loop (cost=5,829,460.59..5,849,572.37 rows=41 width=107) (actual time=834.399..3,525.660 rows=8,588 loops=1)

  • Buffers: shared hit=420,830, temp read=877 written=879
85. 11.708 3,503.179 ↓ 209.5 8,588 1

Nested Loop (cost=5,829,460.45..5,849,483.68 rows=41 width=123) (actual time=834.388..3,503.179 rows=8,588 loops=1)

  • Buffers: shared hit=403,654, temp read=877 written=879
86. 1,597.544 3,465.707 ↓ 209.5 8,588 1

Nested Loop (cost=5,829,460.30..5,849,394.99 rows=41 width=139) (actual time=834.373..3,465.707 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. 4.364 996.721 ↓ 12.7 7,202 1

Nested Loop (cost=5,829,460.30..5,831,095.84 rows=565 width=144) (actual time=832.074..996.721 rows=7,202 loops=1)

  • Buffers: shared hit=386,410, temp read=877 written=879
88. 41.417 992.357 ↓ 12.7 7,202 1

Nested Loop (cost=5,829,460.16..5,831,080.61 rows=565 width=148) (actual time=832.047..992.357 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. 63.087 922.132 ↓ 12.7 7,202 1

Nested Loop (cost=5,829,447.01..5,830,530.58 rows=565 width=164) (actual time=831.993..922.132 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. 0.178 0.471 ↑ 1.0 58 1

Merge Join (cost=22.81..23.93 rows=59 width=48) (actual time=0.229..0.471 rows=58 loops=1)

  • Merge Cond: (m_2."currencyId" = c_2.id)
  • Buffers: shared hit=6
91. 0.079 0.217 ↑ 1.0 59 1

Sort (cost=19.90..20.05 rows=59 width=32) (actual time=0.171..0.217 rows=59 loops=1)

  • Sort Key: m_2."currencyId
  • Sort Method: quicksort Memory: 29kB
  • Buffers: shared hit=5
92. 0.036 0.138 ↑ 1.0 59 1

Hash Join (cost=14.26..18.16 rows=59 width=32) (actual time=0.075..0.138 rows=59 loops=1)

  • Hash Cond: (sr_2."regionId" = r_2.id)
  • Buffers: shared hit=5
93. 0.031 0.083 ↑ 1.0 59 1

Hash Join (cost=13.15..16.89 rows=59 width=48) (actual time=0.036..0.083 rows=59 loops=1)

  • Hash Cond: (m_2."subregionId" = sr_2.id)
  • Buffers: shared hit=4
94. 0.035 0.035 ↑ 1.0 59 1

Seq Scan on "Market" m_2 (cost=0.00..3.59 rows=59 width=48) (actual time=0.006..0.035 rows=59 loops=1)

  • Buffers: shared hit=3
95. 0.008 0.017 ↑ 10.0 14 1

Hash (cost=11.40..11.40 rows=140 width=32) (actual time=0.017..0.017 rows=14 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 9kB
  • Buffers: shared hit=1
96. 0.009 0.009 ↑ 10.0 14 1

Seq Scan on "Subregion" sr_2 (cost=0.00..11.40 rows=140 width=32) (actual time=0.007..0.009 rows=14 loops=1)

  • Buffers: shared hit=1
97. 0.007 0.019 ↓ 1.2 6 1

Hash (cost=1.05..1.05 rows=5 width=16) (actual time=0.019..0.019 rows=6 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 9kB
  • Buffers: shared hit=1
98. 0.012 0.012 ↓ 1.2 6 1

Seq Scan on "Region" r_2 (cost=0.00..1.05 rows=5 width=16) (actual time=0.010..0.012 rows=6 loops=1)

  • Buffers: shared hit=1
99. 0.060 0.076 ↑ 1.0 50 1

Sort (cost=2.91..3.04 rows=50 width=16) (actual time=0.055..0.076 rows=50 loops=1)

  • Sort Key: c_2.id
  • Sort Method: quicksort Memory: 27kB
  • Buffers: shared hit=1
100. 0.016 0.016 ↑ 1.0 50 1

Seq Scan on "Currency" c_2 (cost=0.00..1.50 rows=50 width=16) (actual time=0.008..0.016 rows=50 loops=1)

  • Buffers: shared hit=1
101. 30.695 858.574 ↓ 12.7 7,202 58

Materialize (cost=5,829,424.20..5,830,008.04 rows=565 width=148) (actual time=13.892..14.803 rows=7,202 loops=58)

  • Buffers: shared hit=386,399, temp read=877 written=879
102. 10.447 827.879 ↓ 12.7 7,202 1

Merge Join (cost=5,829,424.20..5,830,005.22 rows=565 width=148) (actual time=805.712..827.879 rows=7,202 loops=1)

  • Merge Cond: (rf."marketProductVariantId" = mpv_3.id)
  • Buffers: shared hit=386,399, temp read=877 written=879
103. 72.706 807.570 ↑ 1.2 94,083 1

Sort (cost=5,828,767.87..5,829,054.15 rows=114,512 width=32) (actual time=796.396..807.570 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. 9.474 734.864 ↑ 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=695.562..734.864 rows=94,087 loops=1)

  • Buffers: shared hit=382,399, temp read=439 written=440
105. 18.677 725.390 ↑ 1.2 94,087 1

Group (cost=5,813,542.62..5,815,260.30 rows=114,512 width=96) (actual time=695.561..725.390 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 0.026 ↑ 1.0 1 1

Limit (cost=33.55..33.55 rows=1 width=24) (actual time=0.025..0.026 rows=1 loops=1)

  • Buffers: shared hit=1
108. 0.020 0.024 ↑ 1,570.0 1 1

Sort (cost=33.55..37.48 rows=1,570 width=24) (actual time=0.023..0.024 rows=1 loops=1)

  • Sort Key: fi_3."importedAt" DESC
  • Sort Method: quicksort Memory: 25kB
  • Buffers: shared hit=1
109. 0.004 0.004 ↑ 1,570.0 1 1

Seq Scan on "ForecastImport" fi_3 (cost=0.00..25.70 rows=1,570 width=24) (actual time=0.004..0.004 rows=1 loops=1)

  • Buffers: shared hit=1
110. 180.193 706.687 ↑ 1.2 94,087 1

Sort (cost=5,813,509.07..5,813,795.35 rows=114,512 width=32) (actual time=695.557..706.687 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. 64.898 526.494 ↑ 1.2 94,087 1

Nested Loop (cost=3,210.15..5,801,146.62 rows=114,512 width=32) (actual time=51.749..526.494 rows=94,087 loops=1)

  • Buffers: shared hit=382,399
112. 64.886 179.335 ↓ 1.6 94,087 1

Hash Full Join (cost=3,194.44..4,669,995.51 rows=57,257 width=56) (actual time=51.712..179.335 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. 42.021 62.808 ↑ 1,570.8 124,880 1

Nested Loop (cost=0.00..2,455,037.42 rows=196,162,080 width=28) (actual time=0.051..62.808 rows=124,880 loops=1)

  • Buffers: shared hit=1,422
114. 20.787 20.787 ↑ 1.0 124,880 1

Seq Scan on "MonthlyMarketProductVariantDemand" m_3 (cost=0.00..2,981.80 rows=124,944 width=28) (actual time=0.043..20.787 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. 0.002 0.002 ↑ 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..0.002 rows=1 loops=1)

  • Buffers: shared hit=1
117. 9.750 51.641 ↓ 51.7 30,500 1

Hash (cost=3,184.12..3,184.12 rows=590 width=28) (actual time=51.641..51.641 rows=30,500 loops=1)

  • Buckets: 32,768 (originally 1024) Batches: 1 (originally 1) Memory Usage: 2,044kB
  • Buffers: shared hit=1,343
118. 26.344 41.891 ↓ 51.7 30,500 1

Hash Join (cost=41.75..3,184.12 rows=590 width=28) (actual time=0.036..41.891 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. 15.538 15.538 ↑ 1.0 118,009 1

Seq Scan on "MonthlyMarketProductVariantForecast" forecast_1 (cost=0.00..2,522.57 rows=118,057 width=44) (actual time=0.007..15.538 rows=118,009 loops=1)

  • Buffers: shared hit=1,342
120. 0.005 0.009 ↑ 1,270.0 1 1

Hash (cost=22.70..22.70 rows=1,270 width=20) (actual time=0.008..0.009 rows=1 loops=1)

  • Buckets: 2,048 Batches: 1 Memory Usage: 17kB
  • Buffers: shared hit=1
121. 0.004 0.004 ↑ 1,270.0 1 1

Seq Scan on "AnnualBudgetForecast" abf_1 (cost=0.00..22.70 rows=1,270 width=20) (actual time=0.003..0.004 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. 1.556 9.862 ↓ 57.6 8,416 1

Sort (cost=656.33..656.69 rows=146 width=116) (actual time=9.274..9.862 rows=8,416 loops=1)

  • Sort Key: mpv_3.id
  • Sort Method: quicksort Memory: 672kB
  • Buffers: shared hit=4,000
127. 0.804 8.306 ↓ 14.8 2,168 1

Nested Loop (cost=341.49..651.08 rows=146 width=116) (actual time=1.569..8.306 rows=2,168 loops=1)

  • Buffers: shared hit=4,000
128. 0.161 4.187 ↓ 15.4 663 1

Hash Join (cost=341.08..541.05 rows=43 width=100) (actual time=1.549..4.187 rows=663 loops=1)

  • Hash Cond: (pc_2."businessLineId" = bl_2.id)
  • Buffers: shared hit=314
129. 0.177 4.009 ↓ 15.4 663 1

Hash Join (cost=327.93..527.78 rows=43 width=116) (actual time=1.523..4.009 rows=663 loops=1)

  • Hash Cond: (psc_2."productCategoryId" = pc_2.id)
  • Buffers: shared hit=313
130. 0.164 3.814 ↓ 15.4 663 1

Hash Join (cost=314.78..514.52 rows=43 width=116) (actual time=1.496..3.814 rows=663 loops=1)

  • Hash Cond: (ic_2."productSubcategoryId" = psc_2.id)
  • Buffers: shared hit=312
131. 0.189 3.620 ↓ 15.4 663 1

Hash Join (cost=311.53..511.16 rows=43 width=116) (actual time=1.459..3.620 rows=663 loops=1)

  • Hash Cond: (p_2."industryCutId" = ic_2.id)
  • Buffers: shared hit=311
132. 0.969 3.368 ↓ 15.4 663 1

Hash Join (cost=303.42..502.94 rows=43 width=116) (actual time=1.386..3.368 rows=663 loops=1)

  • Hash Cond: (pv_2."productId" = p_2.id)
  • Buffers: shared hit=308
133. 1.040 1.040 ↓ 1.0 8,699 1

Seq Scan on "ProductVariant" pv_2 (cost=0.00..176.73 rows=8,673 width=32) (actual time=0.016..1.040 rows=8,699 loops=1)

  • Buffers: shared hit=90
134. 0.104 1.359 ↓ 22.9 549 1

Hash (cost=303.12..303.12 rows=24 width=132) (actual time=1.359..1.359 rows=549 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 92kB
  • Buffers: shared hit=218
135. 1.255 1.255 ↓ 22.9 549 1

Seq Scan on "Product" p_2 (cost=0.00..303.12 rows=24 width=132) (actual time=0.123..1.255 rows=549 loops=1)

  • Filter: ((type)::text = 'salesBundle'::text)
  • Rows Removed by Filter: 4,315
  • Buffers: shared hit=218
136. 0.031 0.063 ↑ 1.0 227 1

Hash (cost=5.27..5.27 rows=227 width=32) (actual time=0.063..0.063 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. 0.015 0.030 ↑ 1.0 100 1

Hash (cost=2.00..2.00 rows=100 width=32) (actual time=0.030..0.030 rows=100 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 15kB
  • Buffers: shared hit=1
139. 0.015 0.015 ↑ 1.0 100 1

Seq Scan on "ProductSubcategory" psc_2 (cost=0.00..2.00 rows=100 width=32) (actual time=0.004..0.015 rows=100 loops=1)

  • Buffers: shared hit=1
140. 0.010 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. 0.008 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 0.017 ↑ 20.0 7 1

Hash (cost=11.40..11.40 rows=140 width=16) (actual time=0.017..0.017 rows=7 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 9kB
  • Buffers: shared hit=1
143. 0.013 0.013 ↑ 20.0 7 1

Seq Scan on "BusinessLine" bl_2 (cost=0.00..11.40 rows=140 width=16) (actual time=0.011..0.013 rows=7 loops=1)

  • Buffers: shared hit=1
144. 3.315 3.315 ↑ 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..0.005 rows=3 loops=663)

  • Index Cond: ("productVariantId" = pv_2.id)
  • Buffers: shared hit=3,686
145. 28.744 28.808 ↑ 1.0 63 7,202

Materialize (cost=13.15..16.26 rows=63 width=16) (actual time=0.000..0.004 rows=63 loops=7,202)

  • Buffers: shared hit=3
146. 0.023 0.064 ↑ 1.0 63 1

Hash Join (cost=13.15..15.95 rows=63 width=16) (actual time=0.043..0.064 rows=63 loops=1)

  • Hash Cond: (sb_2."brandId" = b_2.id)
  • Buffers: shared hit=3
147. 0.024 0.024 ↑ 1.0 63 1

Seq Scan on "SubBrand" sb_2 (cost=0.00..2.63 rows=63 width=32) (actual time=0.015..0.024 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. 871.083 871.442 ↑ 1.0 2,148 7,202

Materialize (cost=0.00..100.22 rows=2,148 width=43) (actual time=0.000..0.121 rows=2,148 loops=7,202)

  • Buffers: shared hit=68
153. 0.359 0.359 ↑ 1.0 2,148 1

Seq Scan on "MarketProductVariantSalesBundleEntry" mpvsbe (cost=0.00..89.48 rows=2,148 width=43) (actual time=0.062..0.359 rows=2,148 loops=1)

  • Buffers: shared hit=68
154. 25.764 25.764 ↑ 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=0.003..0.003 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. 25.764 25.764 ↑ 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=0.003..0.003 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. 0.022 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. 0.015 0.015 ↑ 1.0 100 1

Seq Scan on "ProductSubcategory" psc_1 (cost=0.00..2.00 rows=100 width=32) (actual time=0.006..0.015 rows=100 loops=1)

  • Buffers: shared hit=1
165. 0.006 0.021 ↓ 5.0 5 1

Hash (cost=8.16..8.16 rows=1 width=548) (actual time=0.021..0.021 rows=5 loops=1)

  • Buckets: 1,024 Batches: 1 Memory Usage: 9kB
  • Buffers: shared hit=2
166. 0.015 0.015 ↓ 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=0.013..0.015 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. 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. 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. 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 : 22.752 ms
Execution time : 268,444.824 ms