explain.depesz.com

PostgreSQL's explain analyze made readable

Result: gzQf

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# exclusive inclusive rows x rows loops node
1. 45.358 30,389.146 ↓ 3,072.0 6,144 1

Nested Loop Left Join (cost=96,727.86..96,806.88 rows=2 width=640) (actual time=2,185.220..30,389.146 rows=6,144 loops=1)

2. 6.781 29,133.420 ↓ 6,144.0 6,144 1

Nested Loop Left Join (cost=96,727.29..96,766.61 rows=1 width=495) (actual time=2,184.899..29,133.420 rows=6,144 loops=1)

3. 9.901 29,108.207 ↓ 6,144.0 6,144 1

Nested Loop Left Join (cost=96,727.15..96,766.45 rows=1 width=431) (actual time=2,184.888..29,108.207 rows=6,144 loops=1)

4. 12.761 29,086.018 ↓ 6,144.0 6,144 1

Nested Loop Left Join (cost=96,727.01..96,766.28 rows=1 width=415) (actual time=2,184.881..29,086.018 rows=6,144 loops=1)

5. 9.855 29,011.817 ↓ 6,144.0 6,144 1

Nested Loop Left Join (cost=96,726.58..96,765.80 rows=1 width=420) (actual time=2,184.841..29,011.817 rows=6,144 loops=1)

6. 10.193 28,989.674 ↓ 6,144.0 6,144 1

Nested Loop Left Join (cost=96,726.45..96,765.60 rows=1 width=354) (actual time=2,184.828..28,989.674 rows=6,144 loops=1)

7. 10.157 28,961.049 ↓ 6,144.0 6,144 1

Nested Loop Left Join (cost=96,726.30..96,765.42 rows=1 width=342) (actual time=2,184.820..28,961.049 rows=6,144 loops=1)

8. 8.537 28,889.452 ↓ 6,144.0 6,144 1

Nested Loop Left Join (cost=96,725.88..96,756.98 rows=1 width=326) (actual time=2,184.799..28,889.452 rows=6,144 loops=1)

9. 10.145 28,819.475 ↓ 6,144.0 6,144 1

Nested Loop Left Join (cost=96,725.45..96,754.80 rows=1 width=307) (actual time=2,184.767..28,819.475 rows=6,144 loops=1)

10. 11.114 28,741.746 ↓ 6,144.0 6,144 1

Nested Loop Left Join (cost=96,725.02..96,750.61 rows=1 width=276) (actual time=2,184.737..28,741.746 rows=6,144 loops=1)

11. 10.516 28,656.904 ↓ 6,144.0 6,144 1

Nested Loop Left Join (cost=96,724.59..96,746.41 rows=1 width=239) (actual time=2,184.701..28,656.904 rows=6,144 loops=1)

12. 13.185 28,591.092 ↓ 6,144.0 6,144 1

Nested Loop Left Join (cost=96,724.17..96,737.97 rows=1 width=223) (actual time=2,184.672..28,591.092 rows=6,144 loops=1)

13. 4,268.579 28,510.323 ↓ 6,144.0 6,144 1

Nested Loop Left Join (cost=96,723.75..96,729.51 rows=1 width=192) (actual time=2,184.651..28,510.323 rows=6,144 loops=1)

  • Join Filter: (current_factset_fund_holdings.factset_fund_id = factset_prev_fund_holdings.factset_fund_id)
  • Rows Removed by Join Filter: 16721246
14.          

CTE holders_query

15. 90.703 2,128.236 ↓ 354.9 89,790 1

WindowAgg (cost=96,658.98..96,709.84 rows=253 width=73) (actual time=1,908.636..2,128.236 rows=89,790 loops=1)

16.          

CTE distinct_funds

17. 17.338 212.855 ↓ 1.1 6,612 1

Unique (cost=23,313.91..23,343.36 rows=5,889 width=54) (actual time=177.157..212.855 rows=6,612 loops=1)

18. 138.852 195.517 ↓ 11.2 66,238 1

Sort (cost=23,313.91..23,328.63 rows=5,890 width=54) (actual time=177.155..195.517 rows=66,238 loops=1)

  • Sort Key: own_fund_detail.factset_fund_id
  • Sort Method: quicksort Memory: 12381kB
19. 45.312 56.665 ↓ 11.2 66,238 1

Bitmap Heap Scan on own_fund_detail (cost=171.67..22,945.08 rows=5,890 width=54) (actual time=12.924..56.665 rows=66,238 loops=1)

  • Recheck Cond: ((fsym_id = 'BHM9TN-S'::bpchar) AND (report_date >= '2016-12-31'::date) AND (report_date <= '2019-06-07'::date))
  • Heap Blocks: exact=10293
20. 11.353 11.353 ↓ 11.5 67,669 1

Bitmap Index Scan on own_fund_detail_fsym_id_report_date_idx (cost=0.00..170.19 rows=5,890 width=0) (actual time=11.353..11.353 rows=67,669 loops=1)

  • Index Cond: ((fsym_id = 'BHM9TN-S'::bpchar) AND (report_date >= '2016-12-31'::date) AND (report_date <= '2019-06-07'::date))
21.          

CTE distinct_holdings

22. 36.753 254.751 ↓ 11.2 66,238 1

Unique (cost=23,313.91..23,416.98 rows=5,889 width=54) (actual time=199.857..254.751 rows=66,238 loops=1)

23. 170.455 217.998 ↓ 11.2 66,238 1

Sort (cost=23,313.91..23,328.63 rows=5,890 width=54) (actual time=199.855..217.998 rows=66,238 loops=1)

  • Sort Key: own_fund_detail_1.factset_fund_id, own_fund_detail_1.adj_holding, own_fund_detail_1.report_date, own_fund_detail_1.reported_holding, own_fund_detail_1.adj_mv, own_fund_detail_1.reported_mv
  • Sort Method: quicksort Memory: 12381kB
24. 36.922 47.543 ↓ 11.2 66,238 1

Bitmap Heap Scan on own_fund_detail own_fund_detail_1 (cost=171.67..22,945.08 rows=5,890 width=54) (actual time=12.196..47.543 rows=66,238 loops=1)

  • Recheck Cond: ((fsym_id = 'BHM9TN-S'::bpchar) AND (report_date >= '2016-12-31'::date) AND (report_date <= '2019-06-07'::date))
  • Heap Blocks: exact=10293
25. 10.621 10.621 ↓ 11.5 67,669 1

Bitmap Index Scan on own_fund_detail_fsym_id_report_date_idx (cost=0.00..170.19 rows=5,890 width=0) (actual time=10.620..10.621 rows=67,669 loops=1)

  • Index Cond: ((fsym_id = 'BHM9TN-S'::bpchar) AND (report_date >= '2016-12-31'::date) AND (report_date <= '2019-06-07'::date))
26.          

CTE fund_dates

27. 346.269 346.269 ↓ 1.1 673,136 1

Seq Scan on q4_fund_dates (cost=0.00..33,672.26 rows=614,204 width=13) (actual time=0.018..346.269 rows=673,136 loops=1)

  • Filter: ((report_date >= '2016-12-31'::date) AND (report_date <= '2019-06-07'::date))
  • Rows Removed by Filter: 955937
28. 81.205 2,037.533 ↓ 354.9 89,790 1

Merge Left Join (cost=16,226.37..16,272.80 rows=253 width=81) (actual time=1,908.625..2,037.533 rows=89,790 loops=1)

  • Merge Cond: ((s.factset_fund_id = adjh.factset_fund_id) AND (ad.report_date = adjh.report_date))
29. 240.919 1,547.789 ↓ 354.9 89,790 1

Sort (cost=15,739.82..15,740.46 rows=253 width=73) (actual time=1,520.380..1,547.789 rows=89,790 loops=1)

  • Sort Key: s.factset_fund_id, ad.report_date DESC
  • Sort Method: quicksort Memory: 15691kB
30. 39.237 1,306.870 ↓ 354.9 89,790 1

Nested Loop (cost=346.11..15,729.73 rows=253 width=73) (actual time=275.917..1,306.870 rows=89,790 loops=1)

31. 0.043 0.043 ↑ 1.0 1 1

Index Only Scan using own_sec_coverage_fsym_id_idx on own_sec_coverage sar (cost=0.42..8.44 rows=1 width=9) (actual time=0.039..0.043 rows=1 loops=1)

  • Index Cond: (fsym_id = 'BHM9TN-S'::bpchar)
  • Heap Fetches: 1
32. 202.616 1,267.590 ↓ 354.9 89,790 1

Hash Join (cost=345.69..15,718.76 rows=253 width=100) (actual time=275.875..1,267.590 rows=89,790 loops=1)

  • Hash Cond: (ad.factset_fund_id = s.factset_fund_id)
33. 789.140 789.140 ↓ 219.2 673,136 1

CTE Scan on fund_dates ad (cost=0.00..15,355.10 rows=3,071 width=40) (actual time=0.024..789.140 rows=673,136 loops=1)

  • Filter: ((report_date >= '2016-12-31'::date) AND (report_date <= '2019-06-07'::date))
34. 2.810 275.834 ↓ 361.4 6,144 1

Hash (cost=345.48..345.48 rows=17 width=105) (actual time=275.833..275.834 rows=6,144 loops=1)

  • Buckets: 8192 (originally 1024) Batches: 1 (originally 1) Memory Usage: 604kB
35. 9.601 273.024 ↓ 361.4 6,144 1

Nested Loop (cost=0.42..345.48 rows=17 width=105) (actual time=177.210..273.024 rows=6,144 loops=1)

36. 217.139 217.139 ↓ 228.0 6,612 1

CTE Scan on distinct_funds s (cost=0.00..132.50 rows=29 width=96) (actual time=177.166..217.139 rows=6,612 loops=1)

  • Filter: (fsym_id = 'BHM9TN-S'::bpchar)
37. 46.284 46.284 ↑ 1.0 1 6,612

Index Only Scan using own_ent_funds_factset_fund_id_current_report_date_active_flag_i on own_ent_funds ent (cost=0.42..7.33 rows=1 width=9) (actual time=0.007..0.007 rows=1 loops=6,612)

  • Index Cond: ((factset_fund_id = s.factset_fund_id) AND (active_flag = 1))
  • Heap Fetches: 4973
38. 114.646 408.539 ↓ 11.2 66,238 1

Sort (cost=486.54..501.27 rows=5,889 width=48) (actual time=388.237..408.539 rows=66,238 loops=1)

  • Sort Key: adjh.factset_fund_id, adjh.report_date DESC
  • Sort Method: quicksort Memory: 8244kB
39. 293.893 293.893 ↓ 11.2 66,238 1

CTE Scan on distinct_holdings adjh (cost=0.00..117.78 rows=5,889 width=48) (actual time=199.865..293.893 rows=66,238 loops=1)

40.          

CTE factset_fund_holdings

41. 15.459 15.459 ↓ 5,867.0 5,867 1

CTE Scan on holders_query curr (cost=0.00..6.96 rows=1 width=100) (actual time=0.013..15.459 rows=5,867 loops=1)

  • Filter: ((report_date >= '2017-06-07'::date) AND (report_date <= '2019-06-07'::date) AND (pos = 2))
  • Rows Removed by Filter: 83923
42.          

CTE factset_prev_fund_holdings

43. 273.517 273.517 ↓ 2,722.0 2,722 1

CTE Scan on holders_query prev (cost=0.00..6.96 rows=1 width=100) (actual time=0.404..273.517 rows=2,722 loops=1)

  • Filter: ((report_date >= '2016-12-31'::date) AND (report_date <= '2018-12-31'::date) AND (pos = 1))
  • Rows Removed by Filter: 87068
44. 9,182.764 19,639.888 ↓ 6,144.0 6,144 1

Nested Loop Left Join (cost=0.00..5.72 rows=1 width=112) (actual time=1,908.665..19,639.888 rows=6,144 loops=1)

  • Join Filter: (current_factset_fund_holdings.factset_fund_id = previous_factset_fund_holdings.factset_fund_id)
  • Rows Removed by Join Filter: 36040981
45. 1,923.108 1,923.108 ↓ 6,144.0 6,144 1

CTE Scan on holders_query current_factset_fund_holdings (cost=0.00..5.69 rows=1 width=92) (actual time=1,908.646..1,923.108 rows=6,144 loops=1)

  • Filter: (pos = 1)
  • Rows Removed by Filter: 83646
46. 8,534.016 8,534.016 ↓ 5,867.0 5,867 6,144

CTE Scan on factset_fund_holdings previous_factset_fund_holdings (cost=0.00..0.02 rows=1 width=56) (actual time=0.000..1.389 rows=5,867 loops=6,144)

47. 4,601.856 4,601.856 ↓ 2,722.0 2,722 6,144

CTE Scan on factset_prev_fund_holdings (cost=0.00..0.02 rows=1 width=52) (actual time=0.000..0.749 rows=2,722 loops=6,144)

48. 67.584 67.584 ↑ 1.0 1 6,144

Index Scan using own_ent_funds_factset_fund_id_current_report_date_active_flag_i on own_ent_funds (cost=0.42..8.44 rows=1 width=31) (actual time=0.011..0.011 rows=1 loops=6,144)

  • Index Cond: (current_factset_fund_holdings.factset_fund_id = factset_fund_id)
49. 55.296 55.296 ↑ 1.0 1 6,144

Index Scan using q4_fund_values_pkey on q4_fund_values (cost=0.41..8.43 rows=1 width=26) (actual time=0.009..0.009 rows=1 loops=6,144)

  • Index Cond: (factset_fund_id = current_factset_fund_holdings.factset_fund_id)
50. 73.728 73.728 ↑ 1.0 1 6,144

Index Scan using sym_entity_pkey on sym_entity inst_entity (cost=0.43..4.19 rows=1 width=37) (actual time=0.012..0.012 rows=1 loops=6,144)

  • Index Cond: (factset_entity_id = own_ent_funds.factset_inst_entity_id)
51. 67.584 67.584 ↑ 1.0 1 6,144

Index Scan using sym_entity_pkey on sym_entity fund_entity (cost=0.43..4.19 rows=1 width=40) (actual time=0.011..0.011 rows=1 loops=6,144)

  • Index Cond: (factset_entity_id = own_ent_funds.factset_fund_id)
52. 61.440 61.440 ↑ 1.0 1 6,144

Index Scan using h_entity_pkey on h_entity (cost=0.43..2.16 rows=1 width=37) (actual time=0.009..0.010 rows=1 loops=6,144)

  • Index Cond: (factset_entity_id = own_ent_funds.factset_fund_id)
53. 61.440 61.440 ↑ 1.0 1 6,144

Index Scan using cyclops_fund_overwrites_pkey on cyclops_fund_overwrites cyclops (cost=0.42..8.44 rows=1 width=26) (actual time=0.010..0.010 rows=1 loops=6,144)

  • Index Cond: (factset_fund_id = current_factset_fund_holdings.factset_fund_id)
54. 18.432 18.432 ↑ 1.0 1 6,144

Index Scan using country_map_pkey on country_map (cost=0.15..0.17 rows=1 width=15) (actual time=0.003..0.003 rows=1 loops=6,144)

  • Index Cond: (iso_country = fund_entity.iso_country)
55. 12.288 12.288 ↑ 1.0 1 6,144

Index Scan using region_map_pkey on region_map (cost=0.13..0.19 rows=1 width=76) (actual time=0.002..0.002 rows=1 loops=6,144)

  • Index Cond: (region_code = country_map.region_code)
56. 61.440 61.440 ↑ 1.0 1 6,144

Index Scan using ent_entity_metro_areas_pkey on ent_entity_metro_areas (cost=0.43..0.46 rows=1 width=13) (actual time=0.010..0.010 rows=1 loops=6,144)

  • Index Cond: (factset_entity_id = inst_entity.factset_entity_id)
57. 12.288 12.288 ↑ 1.0 1 6,144

Index Scan using metro_map_pkey on metro_map (cost=0.14..0.16 rows=1 width=24) (actual time=0.002..0.002 rows=1 loops=6,144)

  • Index Cond: (metro_code = ent_entity_metro_areas.metro_id)
58. 18.432 18.432 ↑ 1.0 1 6,144

Index Scan using fund_type_map_pkey on fund_type_map (cost=0.14..0.16 rows=1 width=84) (actual time=0.002..0.003 rows=1 loops=6,144)

  • Index Cond: (fund_type_code = own_ent_funds.fund_type)
59. 55.296 55.296 ↑ 2.0 1 6,144

Index Scan using own_sec_prices_pkey on own_sec_prices prices (cost=0.57..11.38 rows=2 width=45) (actual time=0.009..0.009 rows=1 loops=6,144)

  • Index Cond: ((fsym_id = current_factset_fund_holdings.fsym_id) AND (price_date = (date_trunc('month'::text, (current_factset_fund_holdings.report_date)::timestamp with time zone) - '1 day'::interval)))
60.          

SubPlan (forNested Loop Left Join)

61. 178.176 1,155.072 ↑ 1.0 1 6,144

Aggregate (cost=14.39..14.40 rows=1 width=32) (actual time=0.187..0.188 rows=1 loops=6,144)

62. 33.728 976.896 ↓ 2.0 2 6,144

Nested Loop Left Join (cost=8.59..14.39 rows=1 width=138) (actual time=0.095..0.159 rows=2 loops=6,144)

63. 442.728 915.456 ↓ 2.0 2 6,144

Hash Right Join (cost=8.46..14.18 rows=1 width=72) (actual time=0.090..0.149 rows=2 loops=6,144)

  • Hash Cond: (country_map_1.iso_country = ent_entity_address.iso_country)
64. 368.280 368.280 ↑ 1.0 270 6,138

Seq Scan on country_map country_map_1 (cost=0.00..4.70 rows=270 width=15) (actual time=0.002..0.060 rows=270 loops=6,138)

65. 18.432 104.448 ↓ 2.0 2 6,144

Hash (cost=8.45..8.45 rows=1 width=60) (actual time=0.017..0.017 rows=2 loops=6,144)

  • Buckets: 1024 Batches: 1 Memory Usage: 9kB
66. 86.016 86.016 ↓ 2.0 2 6,144

Index Scan using ent_entity_address_factset_entity_id_idx on ent_entity_address (cost=0.43..8.45 rows=1 width=60) (actual time=0.011..0.014 rows=2 loops=6,144)

  • Index Cond: (factset_entity_id = own_ent_funds.factset_inst_entity_id)
67. 27.712 27.712 ↑ 1.0 1 13,856

Index Scan using region_map_pkey on region_map region_map_1 (cost=0.13..0.19 rows=1 width=76) (actual time=0.001..0.002 rows=1 loops=13,856)

  • Index Cond: (region_code = country_map_1.region_code)
Planning time : 6.275 ms
Execution time : 30,404.862 ms