explain.depesz.com

PostgreSQL's explain analyze made readable

Result: TrsC

Settings
# exclusive inclusive rows x rows loops node
1. 47.245 30,035.731 ↓ 3,072.0 6,144 1

Nested Loop Left Join (cost=96,727.86..96,806.88 rows=2 width=640) (actual time=2,106.389..30,035.731 rows=6,144 loops=1)

2. 6.443 28,796.550 ↓ 6,144.0 6,144 1

Nested Loop Left Join (cost=96,727.29..96,766.61 rows=1 width=495) (actual time=2,106.081..28,796.550 rows=6,144 loops=1)

3. 9.971 28,771.675 ↓ 6,144.0 6,144 1

Nested Loop Left Join (cost=96,727.15..96,766.45 rows=1 width=431) (actual time=2,106.073..28,771.675 rows=6,144 loops=1)

4. 10.610 28,749.416 ↓ 6,144.0 6,144 1

Nested Loop Left Join (cost=96,727.01..96,766.28 rows=1 width=415) (actual time=2,106.066..28,749.416 rows=6,144 loops=1)

5. 9.756 28,677.366 ↓ 6,144.0 6,144 1

Nested Loop Left Join (cost=96,726.58..96,765.80 rows=1 width=420) (actual time=2,106.049..28,677.366 rows=6,144 loops=1)

6. 9.398 28,655.322 ↓ 6,144.0 6,144 1

Nested Loop Left Join (cost=96,726.45..96,765.60 rows=1 width=354) (actual time=2,106.042..28,655.322 rows=6,144 loops=1)

7. 10.202 28,627.492 ↓ 6,144.0 6,144 1

Nested Loop Left Join (cost=96,726.30..96,765.42 rows=1 width=342) (actual time=2,106.032..28,627.492 rows=6,144 loops=1)

8. 10.218 28,561.994 ↓ 6,144.0 6,144 1

Nested Loop Left Join (cost=96,725.88..96,756.98 rows=1 width=326) (actual time=2,106.013..28,561.994 rows=6,144 loops=1)

9. 10.697 28,496.480 ↓ 6,144.0 6,144 1

Nested Loop Left Join (cost=96,725.45..96,754.80 rows=1 width=307) (actual time=2,105.998..28,496.480 rows=6,144 loops=1)

10. 10.797 28,430.487 ↓ 6,144.0 6,144 1

Nested Loop Left Join (cost=96,725.02..96,750.61 rows=1 width=276) (actual time=2,105.984..28,430.487 rows=6,144 loops=1)

11. 8.054 28,352.106 ↓ 6,144.0 6,144 1

Nested Loop Left Join (cost=96,724.59..96,746.41 rows=1 width=239) (actual time=2,105.967..28,352.106 rows=6,144 loops=1)

12. 11.686 28,288.756 ↓ 6,144.0 6,144 1

Nested Loop Left Join (cost=96,724.17..96,737.97 rows=1 width=223) (actual time=2,105.950..28,288.756 rows=6,144 loops=1)

13. 4,255.773 28,209.486 ↓ 6,144.0 6,144 1

Nested Loop Left Join (cost=96,723.75..96,729.51 rows=1 width=192) (actual time=2,105.920..28,209.486 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 quarter_query

15. 93.519 2,048.796 ↓ 354.9 89,790 1

WindowAgg (cost=96,658.98..96,709.84 rows=253 width=73) (actual time=1,824.122..2,048.796 rows=89,790 loops=1)

16.          

CTE distinct_funds

17. 18.472 180.837 ↓ 1.1 6,612 1

Unique (cost=23,313.91..23,343.36 rows=5,889 width=54) (actual time=143.974..180.837 rows=6,612 loops=1)

18. 122.512 162.365 ↓ 11.2 66,238 1

Sort (cost=23,313.91..23,328.63 rows=5,890 width=54) (actual time=143.972..162.365 rows=66,238 loops=1)

  • Sort Key: own_fund_detail.factset_fund_id
  • Sort Method: quicksort Memory: 12381kB
19. 28.947 39.853 ↓ 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=12.452..39.853 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. 10.906 10.906 ↓ 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=10.906..10.906 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. 35.445 239.317 ↓ 11.2 66,238 1

Unique (cost=23,313.91..23,416.98 rows=5,889 width=54) (actual time=186.233..239.317 rows=66,238 loops=1)

23. 164.315 203.872 ↓ 11.2 66,238 1

Sort (cost=23,313.91..23,328.63 rows=5,890 width=54) (actual time=186.230..203.872 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. 29.026 39.557 ↓ 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=12.072..39.557 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. 10.531 10.531 ↓ 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=10.531..10.531 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. 325.360 325.360 ↓ 1.1 673,136 1

Seq Scan on q4_fund_dates (cost=0.00..33,672.26 rows=614,204 width=13) (actual time=0.014..325.360 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. 83.034 1,955.277 ↓ 354.9 89,790 1

Merge Left Join (cost=16,226.37..16,272.80 rows=253 width=81) (actual time=1,824.112..1,955.277 rows=89,790 loops=1)

  • Merge Cond: ((s.factset_fund_id = adjh.factset_fund_id) AND (ad.report_date = adjh.report_date))
29. 236.724 1,480.608 ↓ 354.9 89,790 1

Sort (cost=15,739.82..15,740.46 rows=253 width=73) (actual time=1,452.673..1,480.608 rows=89,790 loops=1)

  • Sort Key: s.factset_fund_id, ad.report_date DESC
  • Sort Method: quicksort Memory: 15691kB
30. 38.348 1,243.884 ↓ 354.9 89,790 1

Nested Loop (cost=346.11..15,729.73 rows=253 width=73) (actual time=241.994..1,243.884 rows=89,790 loops=1)

31. 0.021 0.021 ↑ 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=0.016..0.021 rows=1 loops=1)

  • Index Cond: (fsym_id = 'BHM9TN-S'::bpchar)
  • Heap Fetches: 1
32. 199.920 1,205.515 ↓ 354.9 89,790 1

Hash Join (cost=345.69..15,718.76 rows=253 width=100) (actual time=241.976..1,205.515 rows=89,790 loops=1)

  • Hash Cond: (ad.factset_fund_id = s.factset_fund_id)
33. 763.658 763.658 ↓ 219.2 673,136 1

CTE Scan on fund_dates ad (cost=0.00..15,355.10 rows=3,071 width=40) (actual time=0.020..763.658 rows=673,136 loops=1)

  • Filter: ((report_date >= '2016-12-31'::date) AND (report_date <= '2019-06-07'::date))
34. 2.977 241.937 ↓ 361.4 6,144 1

Hash (cost=345.48..345.48 rows=17 width=105) (actual time=241.937..241.937 rows=6,144 loops=1)

  • Buckets: 8192 (originally 1024) Batches: 1 (originally 1) Memory Usage: 604kB
35. 7.817 238.960 ↓ 361.4 6,144 1

Nested Loop (cost=0.42..345.48 rows=17 width=105) (actual time=144.017..238.960 rows=6,144 loops=1)

36. 184.859 184.859 ↓ 228.0 6,612 1

CTE Scan on distinct_funds s (cost=0.00..132.50 rows=29 width=96) (actual time=143.984..184.859 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. 114.393 391.635 ↓ 11.2 66,238 1

Sort (cost=486.54..501.27 rows=5,889 width=48) (actual time=371.431..391.635 rows=66,238 loops=1)

  • Sort Key: adjh.factset_fund_id, adjh.report_date DESC
  • Sort Method: quicksort Memory: 8244kB
39. 277.242 277.242 ↓ 11.2 66,238 1

CTE Scan on distinct_holdings adjh (cost=0.00..117.78 rows=5,889 width=48) (actual time=186.237..277.242 rows=66,238 loops=1)

40.          

CTE factset_fund_holdings

41. 15.508 15.508 ↓ 5,867.0 5,867 1

CTE Scan on quarter_query curr (cost=0.00..6.96 rows=1 width=100) (actual time=0.014..15.508 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. 279.236 279.236 ↓ 2,722.0 2,722 1

CTE Scan on quarter_query prev (cost=0.00..6.96 rows=1 width=100) (actual time=0.415..279.236 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. 9,095.992 19,413.297 ↓ 6,144.0 6,144 1

Nested Loop Left Join (cost=0.00..5.72 rows=1 width=112) (actual time=1,824.152..19,413.297 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. 1,838.585 1,838.585 ↓ 6,144.0 6,144 1

CTE Scan on quarter_query current_factset_fund_holdings (cost=0.00..5.69 rows=1 width=92) (actual time=1,824.132..1,838.585 rows=6,144 loops=1)

  • Filter: (pos = 1)
  • Rows Removed by Filter: 83646
46. 8,478.720 8,478.720 ↓ 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..1.380 rows=5,867 loops=6,144)

47. 4,540.416 4,540.416 ↓ 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..0.739 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=0.010..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=0.008..0.009 rows=1 loops=6,144)

  • Index Cond: (factset_fund_id = current_factset_fund_holdings.factset_fund_id)
50. 67.584 67.584 ↑ 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=0.011..0.011 rows=1 loops=6,144)

  • Index Cond: (factset_entity_id = own_ent_funds.factset_inst_entity_id)
51. 55.296 55.296 ↑ 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=0.009..0.009 rows=1 loops=6,144)

  • Index Cond: (factset_entity_id = own_ent_funds.factset_fund_id)
52. 55.296 55.296 ↑ 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..0.009 rows=1 loops=6,144)

  • Index Cond: (factset_entity_id = own_ent_funds.factset_fund_id)
53. 55.296 55.296 ↑ 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=0.009..0.009 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. 172.032 1,136.640 ↑ 1.0 1 6,144

Aggregate (cost=14.39..14.40 rows=1 width=32) (actual time=0.185..0.185 rows=1 loops=6,144)

62. 27.584 964.608 ↓ 2.0 2 6,144

Nested Loop Left Join (cost=8.59..14.39 rows=1 width=138) (actual time=0.094..0.157 rows=2 loops=6,144)

63. 448.866 909.312 ↓ 2.0 2 6,144

Hash Right Join (cost=8.46..14.18 rows=1 width=72) (actual time=0.089..0.148 rows=2 loops=6,144)

  • Hash Cond: (country_map_1.iso_country = ent_entity_address.iso_country)
64. 362.142 362.142 ↑ 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..0.059 rows=270 loops=6,138)

65. 18.432 98.304 ↓ 2.0 2 6,144

Hash (cost=8.45..8.45 rows=1 width=60) (actual time=0.016..0.016 rows=2 loops=6,144)

  • Buckets: 1024 Batches: 1 Memory Usage: 9kB
66. 79.872 79.872 ↓ 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..0.013 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 : 3.413 ms
Execution time : 30,049.280 ms