explain.depesz.com

PostgreSQL's explain analyze made readable

Result: 8DIR

Settings

Optimization(s) for this plan:

# exclusive inclusive rows x rows loops node
1. 0.315 8,143.198 ↓ 10.0 10 1

Result (cost=50,111.83..50,112.50 rows=1 width=460) (actual time=8,143.000..8,143.198 rows=10 loops=1)

2.          

CTE datawindow

3. 0.010 2,693.546 ↓ 10.0 10 1

Limit (cost=25,400.57..25,400.57 rows=1 width=24) (actual time=2,693.537..2,693.546 rows=10 loops=1)

4. 1.022 2,693.536 ↓ 10.0 10 1

Sort (cost=25,400.57..25,400.57 rows=1 width=24) (actual time=2,693.535..2,693.536 rows=10 loops=1)

  • Sort Key: pv_1.createdtime DESC
  • Sort Method: top-N heapsort Memory: 26kB
5. 5.025 2,692.514 ↓ 12,159.0 12,159 1

WindowAgg (cost=23,921.26..25,400.56 rows=1 width=24) (actual time=2,691.241..2,692.514 rows=12,159 loops=1)

6. 69.215 2,687.489 ↓ 12,159.0 12,159 1

Nested Loop (cost=23,921.26..25,400.54 rows=1 width=16) (actual time=388.610..2,687.489 rows=12,159 loops=1)

7. 81.094 2,421.690 ↓ 954.3 196,584 1

Nested Loop (cost=23,920.98..25,335.72 rows=206 width=24) (actual time=388.499..2,421.690 rows=196,584 loops=1)

8. 101.431 1,750.838 ↓ 720.1 196,586 1

Nested Loop (cost=23,920.56..25,062.47 rows=273 width=24) (actual time=388.483..1,750.838 rows=196,586 loops=1)

  • Join Filter: (od_2.id = pv_1.id)
9. 0.000 1,038.061 ↓ 437.3 203,782 1

Nested Loop (cost=23,920.14..24,660.01 rows=466 width=16) (actual time=388.464..1,038.061 rows=203,782 loops=1)

10. 122.787 456.516 ↓ 147.1 205,531 1

HashAggregate (cost=23,919.71..23,933.68 rows=1,397 width=8) (actual time=388.437..456.516 rows=205,531 loops=1)

  • Group Key: od_3.id
11. 120.830 333.729 ↓ 147.1 205,531 1

Hash Join (cost=15,263.75..23,916.22 rows=1,397 width=8) (actual time=185.103..333.729 rows=205,531 loops=1)

  • Hash Cond: ((od_3.offernumber = tblofferdata_1.offernumber) AND ((od_3.offerversion)::bigint = (max((tblofferdata_1.offerversion)::bigint))))
12. 28.031 28.031 ↓ 1.0 279,388 1

Seq Scan on tblofferdata od_3 (cost=0.00..7,115.85 rows=279,385 width=21) (actual time=0.011..28.031 rows=279,388 loops=1)

13. 33.661 184.868 ↓ 1.3 205,512 1

Hash (cost=12,969.16..12,969.16 rows=152,973 width=19) (actual time=184.867..184.868 rows=205,512 loops=1)

  • Buckets: 262144 Batches: 1 Memory Usage: 13287kB
14. 121.781 151.207 ↓ 1.3 205,512 1

HashAggregate (cost=9,909.70..11,439.43 rows=152,973 width=19) (actual time=106.190..151.207 rows=205,512 loops=1)

  • Group Key: tblofferdata_1.offernumber
15. 29.426 29.426 ↓ 1.0 279,388 1

Seq Scan on tblofferdata tblofferdata_1 (cost=0.00..7,115.85 rows=279,385 width=13) (actual time=0.005..29.426 rows=279,388 loops=1)

16. 616.593 616.593 ↑ 1.0 1 205,531

Index Scan using tblofferdata_pkey on tblofferdata od_2 (cost=0.42..0.52 rows=1 width=8) (actual time=0.003..0.003 rows=1 loops=205,531)

  • Index Cond: (id = od_3.id)
  • Filter: ((validstartdate + validdays) < now())
  • Rows Removed by Filter: 0
17. 611.346 611.346 ↑ 1.0 1 203,782

Index Scan using tblpolicyversion_pkey on tblpolicyversion pv_1 (cost=0.42..0.85 rows=1 width=24) (actual time=0.003..0.003 rows=1 loops=203,782)

  • Index Cond: (id = od_3.id)
  • Filter: ((canceldate IS NULL) AND (policyversionstatus = 'CURRENT'::text))
  • Rows Removed by Filter: 0
18. 589.758 589.758 ↑ 1.0 1 196,586

Index Scan using pk_tblinsurance on tblpolicy p_1 (cost=0.42..1.00 rows=1 width=16) (actual time=0.003..0.003 rows=1 loops=196,586)

  • Index Cond: (id = pv_1.idpolicy)
  • Filter: (policytype = 'OFFER'::text)
  • Rows Removed by Filter: 0
19. 196.584 196.584 ↓ 0.0 0 196,584

Index Scan using tblagencyunit_pkey on tblagencyunit agency_1 (cost=0.28..0.31 rows=1 width=8) (actual time=0.001..0.001 rows=0 loops=196,584)

  • Index Cond: (id = p_1.idagency)
  • Filter: ((ltree2text(subltree(path, 0, 1)))::integer = 2375)
  • Rows Removed by Filter: 1
20.          

CTE premiums

21. 0.010 0.200 ↓ 10.0 10 1

Nested Loop (cost=12.83..21.61 rows=1 width=72) (actual time=0.090..0.200 rows=10 loops=1)

  • Join Filter: (pv_2.id = rp.idpolicyversion)
  • Rows Removed by Join Filter: 45
22. 0.009 0.040 ↓ 10.0 10 1

Nested Loop (cost=0.84..9.43 rows=1 width=17) (actual time=0.011..0.040 rows=10 loops=1)

23. 0.009 0.021 ↓ 10.0 10 1

Nested Loop (cost=0.42..8.46 rows=1 width=24) (actual time=0.006..0.021 rows=10 loops=1)

24. 0.002 0.002 ↓ 10.0 10 1

CTE Scan on datawindow w_1 (cost=0.00..0.02 rows=1 width=8) (actual time=0.001..0.002 rows=10 loops=1)

25. 0.010 0.010 ↑ 1.0 1 10

Index Scan using tblpolicyversion_pkey on tblpolicyversion pv_2 (cost=0.42..8.44 rows=1 width=16) (actual time=0.001..0.001 rows=1 loops=10)

  • Index Cond: (id = w_1.idpolicyversion)
  • Filter: (policyversionstatus = 'CURRENT'::text)
26. 0.010 0.010 ↑ 1.0 1 10

Index Scan using pk_tblinsurance on tblpolicy p_2 (cost=0.42..0.97 rows=1 width=9) (actual time=0.001..0.001 rows=1 loops=10)

  • Index Cond: (id = pv_2.idpolicy)
27. 0.060 0.150 ↓ 6.0 6 10

GroupAggregate (cost=11.99..12.16 rows=1 width=136) (actual time=0.008..0.015 rows=6 loops=10)

  • Group Key: rp.idpolicyversion
28. 0.040 0.090 ↓ 2.0 6 10

WindowAgg (cost=11.99..12.05 rows=3 width=50) (actual time=0.006..0.009 rows=6 loops=10)

29. 0.013 0.050 ↓ 2.3 7 10

Sort (cost=11.99..11.99 rows=3 width=42) (actual time=0.005..0.005 rows=7 loops=10)

  • Sort Key: rp.idpolicyversion, rp.riskname, rp.validfrom DESC
  • Sort Method: quicksort Memory: 25kB
30. 0.005 0.037 ↓ 3.3 10 1

Nested Loop (cost=0.42..11.96 rows=3 width=42) (actual time=0.012..0.037 rows=10 loops=1)

31. 0.002 0.002 ↓ 10.0 10 1

CTE Scan on datawindow w_2 (cost=0.00..0.02 rows=1 width=8) (actual time=0.001..0.002 rows=10 loops=1)

32. 0.030 0.030 ↑ 3.0 1 10

Index Scan using tblriskpremium_idpolicyversion_index on tblriskpremium rp (cost=0.42..11.91 rows=3 width=42) (actual time=0.003..0.003 rows=1 loops=10)

  • Index Cond: (idpolicyversion = w_2.idpolicyversion)
33. 0.045 8,142.883 ↓ 10.0 10 1

Sort (cost=24,689.65..24,689.65 rows=1 width=404) (actual time=8,142.881..8,142.883 rows=10 loops=1)

  • Sort Key: pv.createdtime DESC
  • Sort Method: quicksort Memory: 30kB
34. 0.087 8,142.838 ↓ 10.0 10 1

Nested Loop Left Join (cost=23,934.37..24,689.64 rows=1 width=404) (actual time=3,132.875..8,142.838 rows=10 loops=1)

35. 0.035 8,142.691 ↓ 10.0 10 1

Nested Loop Left Join (cost=23,934.08..24,689.30 rows=1 width=607) (actual time=3,132.854..8,142.691 rows=10 loops=1)

36. 0.033 8,142.646 ↓ 10.0 10 1

Nested Loop Left Join (cost=23,933.80..24,689.00 rows=1 width=589) (actual time=3,132.848..8,142.646 rows=10 loops=1)

37. 0.039 8,142.603 ↓ 10.0 10 1

Nested Loop Left Join (cost=23,933.52..24,688.70 rows=1 width=569) (actual time=3,132.842..8,142.603 rows=10 loops=1)

38. 0.042 8,142.504 ↓ 10.0 10 1

Nested Loop Left Join (cost=23,933.23..24,688.30 rows=1 width=569) (actual time=3,132.832..8,142.504 rows=10 loops=1)

39. 0.034 8,142.392 ↓ 10.0 10 1

Nested Loop Left Join (cost=23,932.94..24,687.98 rows=1 width=561) (actual time=3,132.817..8,142.392 rows=10 loops=1)

40. 0.030 8,142.108 ↓ 10.0 10 1

Nested Loop Left Join (cost=23,932.09..24,686.82 rows=1 width=528) (actual time=3,132.776..8,142.108 rows=10 loops=1)

41. 0.043 8,141.898 ↓ 10.0 10 1

Nested Loop Left Join (cost=23,931.52..24,679.66 rows=1 width=528) (actual time=3,132.755..8,141.898 rows=10 loops=1)

42. 0.045 8,141.805 ↓ 10.0 10 1

Nested Loop Left Join (cost=23,931.38..24,679.50 rows=1 width=496) (actual time=3,132.744..8,141.805 rows=10 loops=1)

  • Join Filter: (p.fallbacklocale ~~* (cd_label_fallback.locale || '%'::text))
  • Rows Removed by Join Filter: 10
43. 0.037 8,141.740 ↓ 10.0 10 1

Nested Loop Left Join (cost=23,930.95..24,678.83 rows=1 width=410) (actual time=3,132.737..8,141.740 rows=10 loops=1)

44. 0.036 8,141.583 ↓ 10.0 10 1

Nested Loop Left Join (cost=23,930.53..24,678.17 rows=1 width=321) (actual time=3,132.720..8,141.583 rows=10 loops=1)

45. 0.057 8,141.477 ↓ 10.0 10 1

Nested Loop Left Join (cost=23,930.39..24,678.00 rows=1 width=289) (actual time=3,132.709..8,141.477 rows=10 loops=1)

46. 105.935 8,141.190 ↓ 10.0 10 1

Nested Loop (cost=23,930.25..24,677.17 rows=1 width=257) (actual time=3,132.681..8,141.190 rows=10 loops=1)

  • Join Filter: (pv.id = od.id)
  • Rows Removed by Join Filter: 2055300
47. 0.058 2,694.005 ↓ 10.0 10 1

Merge Join (cost=10.11..10.14 rows=1 width=239) (actual time=2,693.929..2,694.005 rows=10 loops=1)

  • Merge Cond: (pv.id = premiums.idpolicyversion)
48. 0.019 2,693.722 ↓ 10.0 10 1

Sort (cost=10.08..10.09 rows=1 width=167) (actual time=2,693.712..2,693.722 rows=10 loops=1)

  • Sort Key: w.idpolicyversion
  • Sort Method: quicksort Memory: 27kB
49. 0.007 2,693.703 ↓ 10.0 10 1

Nested Loop (cost=1.25..10.07 rows=1 width=167) (actual time=2,693.601..2,693.703 rows=10 loops=1)

50. 0.012 2,693.686 ↓ 10.0 10 1

Nested Loop (cost=1.12..9.92 rows=1 width=143) (actual time=2,693.592..2,693.686 rows=10 loops=1)

51. 0.007 2,693.664 ↓ 10.0 10 1

Nested Loop (cost=0.99..9.59 rows=1 width=117) (actual time=2,693.582..2,693.664 rows=10 loops=1)

52. 0.008 2,693.627 ↓ 10.0 10 1

Nested Loop (cost=0.84..9.43 rows=1 width=100) (actual time=2,693.566..2,693.627 rows=10 loops=1)

53. 0.007 2,693.589 ↓ 10.0 10 1

Nested Loop (cost=0.42..8.46 rows=1 width=44) (actual time=2,693.556..2,693.589 rows=10 loops=1)

54. 2,693.552 2,693.552 ↓ 10.0 10 1

CTE Scan on datawindow w (cost=0.00..0.02 rows=1 width=8) (actual time=2,693.540..2,693.552 rows=10 loops=1)

55. 0.030 0.030 ↑ 1.0 1 10

Index Scan using tblpolicyversion_pkey on tblpolicyversion pv (cost=0.42..8.44 rows=1 width=36) (actual time=0.003..0.003 rows=1 loops=10)

  • Index Cond: (id = w.idpolicyversion)
  • Filter: (policyversionstatus = 'CURRENT'::text)
56. 0.030 0.030 ↑ 1.0 1 10

Index Scan using pk_tblinsurance on tblpolicy p (cost=0.42..0.97 rows=1 width=72) (actual time=0.003..0.003 rows=1 loops=10)

  • Index Cond: (id = pv.idpolicy)
57. 0.030 0.030 ↑ 1.0 1 10

Index Scan using tblgeneralagreement_pkey on tblgeneralagreement ga (cost=0.14..0.16 rows=1 width=17) (actual time=0.003..0.003 rows=1 loops=10)

  • Index Cond: (id = p.idgeneralagreement)
58. 0.010 0.010 ↑ 1.0 1 10

Index Only Scan using tblproductline_pkey on tblproductline pl (cost=0.14..0.31 rows=1 width=32) (actual time=0.001..0.001 rows=1 loops=10)

  • Index Cond: (id = ga.idproductline)
  • Heap Fetches: 10
59. 0.010 0.010 ↑ 1.0 1 10

Index Scan using tblinsurancecompanyunit_pkey on tblinsurancecompanyunit cu (cost=0.13..0.15 rows=1 width=40) (actual time=0.001..0.001 rows=1 loops=10)

  • Index Cond: (id = p.idinsurancecompany)
60. 0.021 0.225 ↓ 10.0 10 1

Sort (cost=0.03..0.04 rows=1 width=72) (actual time=0.212..0.225 rows=10 loops=1)

  • Sort Key: premiums.idpolicyversion
  • Sort Method: quicksort Memory: 25kB
61. 0.204 0.204 ↓ 10.0 10 1

CTE Scan on premiums (cost=0.00..0.02 rows=1 width=72) (actual time=0.092..0.204 rows=10 loops=1)

62. 313.020 5,341.250 ↓ 147.1 205,531 10

Nested Loop (cost=23,920.14..24,649.56 rows=1,397 width=50) (actual time=39.416..534.125 rows=205,531 loops=10)

63. 588.001 917.610 ↓ 147.1 205,531 10

HashAggregate (cost=23,919.71..23,933.68 rows=1,397 width=8) (actual time=39.411..91.761 rows=205,531 loops=10)

  • Group Key: od_1.id
64. 123.203 329.609 ↓ 147.1 205,531 1

Hash Join (cost=15,263.75..23,916.22 rows=1,397 width=8) (actual time=177.910..329.609 rows=205,531 loops=1)

  • Hash Cond: ((od_1.offernumber = tblofferdata.offernumber) AND ((od_1.offerversion)::bigint = (max((tblofferdata.offerversion)::bigint))))
65. 28.725 28.725 ↓ 1.0 279,388 1

Seq Scan on tblofferdata od_1 (cost=0.00..7,115.85 rows=279,385 width=21) (actual time=0.011..28.725 rows=279,388 loops=1)

66. 33.244 177.681 ↓ 1.3 205,512 1

Hash (cost=12,969.16..12,969.16 rows=152,973 width=19) (actual time=177.681..177.681 rows=205,512 loops=1)

  • Buckets: 262144 Batches: 1 Memory Usage: 13287kB
67. 118.865 144.437 ↓ 1.3 205,512 1

HashAggregate (cost=9,909.70..11,439.43 rows=152,973 width=19) (actual time=99.998..144.437 rows=205,512 loops=1)

  • Group Key: tblofferdata.offernumber
68. 25.572 25.572 ↓ 1.0 279,388 1

Seq Scan on tblofferdata (cost=0.00..7,115.85 rows=279,385 width=13) (actual time=0.006..25.572 rows=279,388 loops=1)

69. 4,110.620 4,110.620 ↑ 1.0 1 2,055,310

Index Scan using tblofferdata_pkey on tblofferdata od (cost=0.42..0.51 rows=1 width=42) (actual time=0.002..0.002 rows=1 loops=2,055,310)

  • Index Cond: (id = od_1.id)
70. 0.230 0.230 ↑ 1.0 1 10

Index Scan using tblproductlinelabel_pkey on tblproductlinelabel pl_label (cost=0.14..0.83 rows=1 width=64) (actual time=0.023..0.023 rows=1 loops=10)

  • Index Cond: (id = pl.id)
  • Filter: ('pl_PL'::text ~~* (locale || '%'::text))
  • Rows Removed by Filter: 1
71. 0.070 0.070 ↑ 1.0 1 10

Index Scan using tblinsurancetypelabel_pkey on tblinsurancetypelabel it_label (cost=0.14..0.16 rows=1 width=64) (actual time=0.007..0.007 rows=1 loops=10)

  • Index Cond: (p.idinsurancetype = id)
  • Filter: ('pl_PL'::text ~~* (locale || '%'::text))
  • Rows Removed by Filter: 2
72. 0.120 0.120 ↑ 1.0 1 10

Index Scan using tblpolicycoveragedescription_unique on tblpolicycoveragedescription cd_label (cost=0.42..0.65 rows=1 width=97) (actual time=0.012..0.012 rows=1 loops=10)

  • Index Cond: (idpolicyversion = pv.id)
  • Filter: ('pl_PL'::text ~~* (locale || '%'::text))
  • Rows Removed by Filter: 1
73. 0.020 0.020 ↑ 1.0 2 10

Index Scan using tblpolicycoveragedescription_unique on tblpolicycoveragedescription cd_label_fallback (cost=0.42..0.64 rows=2 width=100) (actual time=0.001..0.002 rows=2 loops=10)

  • Index Cond: (idpolicyversion = pv.id)
74. 0.050 0.050 ↑ 1.0 1 10

Index Scan using tblintegration_key_key on tblintegration i (cost=0.14..0.16 rows=1 width=64) (actual time=0.005..0.005 rows=1 loops=10)

  • Index Cond: (key = p.keyintegration)
75. 0.070 0.180 ↑ 1.0 1 10

Nested Loop (cost=0.57..7.15 rows=1 width=8) (actual time=0.017..0.018 rows=1 loops=10)

76. 0.090 0.090 ↑ 1.0 1 10

Index Scan using tblagencyunit_pkey on tblagencyunit u2 (cost=0.28..0.31 rows=1 width=25) (actual time=0.009..0.009 rows=1 loops=10)

  • Index Cond: (id = p.idagencyunit)
  • Filter: (nlevel(path) = 2)
77. 0.020 0.020 ↑ 1.0 1 10

Index Scan using tblagencyunit_pkey on tblagencyunit u1 (cost=0.29..6.31 rows=1 width=8) (actual time=0.002..0.002 rows=1 loops=10)

  • Index Cond: (id = (ltree2text(subpath(u2.path, 0, 1)))::bigint)
  • Filter: (nlevel(path) = 1)
78. 0.060 0.250 ↑ 1.0 1 10

Nested Loop (cost=0.85..1.15 rows=1 width=41) (actual time=0.024..0.025 rows=1 loops=10)

79. 0.090 0.090 ↑ 1.0 1 10

Index Scan using tblpolicyclient_idpolicyversion on tblpolicyclient pc_ubezpieczony (cost=0.42..0.62 rows=1 width=49) (actual time=0.009..0.009 rows=1 loops=10)

  • Index Cond: (pv.id = idpolicyversion)
80. 0.100 0.100 ↑ 1.0 1 10

Index Only Scan using tblpolicyclientrole_role_unique on tblpolicyclientrole pcr_ubezpieczony (cost=0.42..0.54 rows=1 width=8) (actual time=0.010..0.010 rows=1 loops=10)

  • Index Cond: ((idpolicyclient = pc_ubezpieczony.id) AND (role = 'ubezpieczony'::text))
  • Heap Fetches: 10
81. 0.070 0.070 ↑ 1.0 1 10

Index Scan using tblclient_pkey on tblclient c (cost=0.29..0.32 rows=1 width=16) (actual time=0.007..0.007 rows=1 loops=10)

  • Index Cond: (pc_ubezpieczony.idclient = id)
82. 0.060 0.060 ↑ 1.0 1 10

Index Only Scan using tblmetaclient_pkey on tblmetaclient mc (cost=0.29..0.40 rows=1 width=8) (actual time=0.006..0.006 rows=1 loops=10)

  • Index Cond: (id = c.idmetaclient)
  • Heap Fetches: 10
83. 0.010 0.010 ↑ 1.0 1 10

Index Scan using tblagencyunit_pkey on tblagencyunit agency (cost=0.28..0.30 rows=1 width=36) (actual time=0.001..0.001 rows=1 loops=10)

  • Index Cond: (id = p.idagency)
84. 0.010 0.010 ↑ 1.0 1 10

Index Scan using tblagencyunit_pkey on tblagencyunit division (cost=0.28..0.30 rows=1 width=34) (actual time=0.001..0.001 rows=1 loops=10)

  • Index Cond: (id = p.idagencyunit)
85. 0.060 0.060 ↑ 1.0 1 10

Index Scan using tblemployee_pkey on tblemployee employee (cost=0.29..0.31 rows=1 width=24) (actual time=0.006..0.006 rows=1 loops=10)

  • Index Cond: (id = p.idemployee)
Planning time : 12.068 ms
Execution time : 8,149.966 ms