explain.depesz.com

PostgreSQL's explain analyze made readable

Result: yo3k

Settings
# exclusive inclusive rows x rows loops node
1. 10.539 7,614.439 ↓ 10.0 10 1

Result (cost=50,566.35..50,567.02 rows=1 width=460) (actual time=7,613.509..7,614.439 rows=10 loops=1)

2.          

CTE datawindow

3. 0.008 1,161.392 ↓ 10.0 10 1

Limit (cost=25,542.89..25,542.90 rows=1 width=24) (actual time=1,161.384..1,161.392 rows=10 loops=1)

4. 0.031 1,161.384 ↓ 10.0 10 1

Sort (cost=25,542.89..25,542.90 rows=1 width=24) (actual time=1,161.383..1,161.384 rows=10 loops=1)

  • Sort Key: pv_1.createdtime DESC
  • Sort Method: top-N heapsort Memory: 26kB
5. 0.226 1,161.353 ↓ 180.0 180 1

WindowAgg (cost=24,227.76..25,542.88 rows=1 width=24) (actual time=1,161.327..1,161.353 rows=180 loops=1)

6. 0.000 1,161.127 ↓ 180.0 180 1

Nested Loop (cost=24,227.76..25,542.87 rows=1 width=16) (actual time=564.246..1,161.127 rows=180 loops=1)

7. 2.404 1,148.351 ↓ 17.8 3,302 1

Nested Loop (cost=24,227.48..25,484.34 rows=186 width=24) (actual time=536.094..1,148.351 rows=3,302 loops=1)

8. 0.898 1,129.437 ↓ 13.4 3,302 1

Nested Loop (cost=24,227.05..25,249.85 rows=246 width=24) (actual time=536.078..1,129.437 rows=3,302 loops=1)

  • Join Filter: (od_2.id = pv_1.id)
9. 87.967 1,094.079 ↓ 8.2 3,446 1

Nested Loop (cost=24,226.63..24,971.79 rows=422 width=16) (actual time=536.061..1,094.079 rows=3,446 loops=1)

10. 116.268 591.572 ↓ 147.3 207,270 1

HashAggregate (cost=24,226.21..24,240.28 rows=1,407 width=8) (actual time=535.748..591.572 rows=207,270 loops=1)

  • Group Key: od_3.id
11. 124.489 475.304 ↓ 147.3 207,270 1

Hash Join (cost=15,507.93..24,222.69 rows=1,407 width=8) (actual time=326.036..475.304 rows=207,270 loops=1)

  • Hash Cond: ((od_3.offernumber = tblofferdata_1.offernumber) AND ((od_3.offerversion)::bigint = (max((tblofferdata_1.offerversion)::bigint))))
12. 29.456 29.456 ↓ 1.0 281,405 1

Seq Scan on tblofferdata od_3 (cost=0.00..7,167.04 rows=281,404 width=21) (actual time=0.010..29.456 rows=281,405 loops=1)

13. 38.669 321.359 ↓ 1.3 207,251 1

Hash (cost=13,139.28..13,139.28 rows=157,910 width=19) (actual time=321.357..321.359 rows=207,251 loops=1)

  • Buckets: 262144 Batches: 1 Memory Usage: 13383kB
14. 149.613 282.690 ↓ 1.3 207,251 1

HashAggregate (cost=9,981.08..11,560.18 rows=157,910 width=19) (actual time=235.207..282.690 rows=207,251 loops=1)

  • Group Key: tblofferdata_1.offernumber
15. 133.077 133.077 ↓ 1.0 281,405 1

Seq Scan on tblofferdata tblofferdata_1 (cost=0.00..7,167.04 rows=281,404 width=13) (actual time=0.008..133.077 rows=281,405 loops=1)

16. 414.540 414.540 ↓ 0.0 0 207,270

Index Scan using tblofferdata_pkey on tblofferdata od_2 (cost=0.42..0.52 rows=1 width=8) (actual time=0.002..0.002 rows=0 loops=207,270)

  • Index Cond: (id = od_3.id)
  • Filter: (((validmarked IS NULL) OR validmarked) AND ((validstartdate + validdays) >= now()))
  • Rows Removed by Filter: 1
17. 34.460 34.460 ↑ 1.0 1 3,446

Index Scan using tblpolicyversion_pkey on tblpolicyversion pv_1 (cost=0.42..0.65 rows=1 width=24) (actual time=0.010..0.010 rows=1 loops=3,446)

  • Index Cond: (id = od_3.id)
  • Filter: ((canceldate IS NULL) AND (policyversionstatus = 'CURRENT'::text))
  • Rows Removed by Filter: 0
18. 16.510 16.510 ↑ 1.0 1 3,302

Index Scan using pk_tblinsurance on tblpolicy p_1 (cost=0.42..0.95 rows=1 width=16) (actual time=0.005..0.005 rows=1 loops=3,302)

  • Index Cond: (id = pv_1.idpolicy)
  • Filter: (policytype = 'OFFER'::text)
19. 13.208 13.208 ↓ 0.0 0 3,302

Index Scan using tblagencyunit_pkey on tblagencyunit agency_1 (cost=0.28..0.31 rows=1 width=8) (actual time=0.004..0.004 rows=0 loops=3,302)

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

CTE premiums

21. 0.009 4.509 ↓ 10.0 10 1

Nested Loop (cost=13.29..22.02 rows=1 width=72) (actual time=4.380..4.509 rows=10 loops=1)

  • Join Filter: (pv_2.id = rp.idpolicyversion)
  • Rows Removed by Join Filter: 45
22. 0.010 0.060 ↓ 10.0 10 1

Nested Loop (cost=0.84..9.38 rows=1 width=17) (actual time=0.014..0.060 rows=10 loops=1)

23. 0.008 0.030 ↓ 10.0 10 1

Nested Loop (cost=0.42..8.46 rows=1 width=24) (actual time=0.008..0.030 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. 0.020 0.020 ↑ 1.0 1 10

Index Scan using tblpolicyversion_pkey on tblpolicyversion pv_2 (cost=0.42..8.44 rows=1 width=16) (actual time=0.002..0.002 rows=1 loops=10)

  • Index Cond: (id = w_1.idpolicyversion)
  • Filter: (policyversionstatus = 'CURRENT'::text)
26. 0.020 0.020 ↑ 1.0 1 10

Index Scan using pk_tblinsurance on tblpolicy p_2 (cost=0.42..0.92 rows=1 width=9) (actual time=0.002..0.002 rows=1 loops=10)

  • Index Cond: (id = pv_2.idpolicy)
27. 0.080 4.440 ↓ 6.0 6 10

GroupAggregate (cost=12.44..12.61 rows=1 width=136) (actual time=0.436..0.444 rows=6 loops=10)

  • Group Key: rp.idpolicyversion
28. 0.050 4.360 ↓ 2.0 6 10

WindowAgg (cost=12.44..12.51 rows=3 width=50) (actual time=0.432..0.436 rows=6 loops=10)

29. 0.042 4.310 ↓ 2.3 7 10

Sort (cost=12.44..12.45 rows=3 width=42) (actual time=0.431..0.431 rows=7 loops=10)

  • Sort Key: rp.idpolicyversion, rp.riskname, rp.validfrom DESC
  • Sort Method: quicksort Memory: 25kB
30. 0.015 4.268 ↓ 3.3 10 1

Nested Loop (cost=0.42..12.42 rows=3 width=42) (actual time=1.335..4.268 rows=10 loops=1)

31. 0.003 0.003 ↓ 10.0 10 1

CTE Scan on datawindow w_2 (cost=0.00..0.02 rows=1 width=8) (actual time=0.001..0.003 rows=10 loops=1)

32. 4.250 4.250 ↑ 3.0 1 10

Index Scan using tblriskpremium_idpolicyversion_index on tblriskpremium rp (cost=0.42..12.37 rows=3 width=42) (actual time=0.425..0.425 rows=1 loops=10)

  • Index Cond: (idpolicyversion = w_2.idpolicyversion)
33. 0.067 7,603.900 ↓ 10.0 10 1

Sort (cost=25,001.43..25,001.44 rows=1 width=404) (actual time=7,603.896..7,603.900 rows=10 loops=1)

  • Sort Key: pv.createdtime DESC
  • Sort Method: quicksort Memory: 30kB
34. 0.116 7,603.833 ↓ 10.0 10 1

Nested Loop Left Join (cost=24,240.82..25,001.42 rows=1 width=404) (actual time=1,651.285..7,603.833 rows=10 loops=1)

35. 0.047 7,602.857 ↓ 10.0 10 1

Nested Loop Left Join (cost=24,240.53..25,001.09 rows=1 width=607) (actual time=1,650.471..7,602.857 rows=10 loops=1)

36. 0.038 7,602.790 ↓ 10.0 10 1

Nested Loop Left Join (cost=24,240.25..25,000.79 rows=1 width=589) (actual time=1,650.464..7,602.790 rows=10 loops=1)

37. 0.049 7,602.702 ↓ 10.0 10 1

Nested Loop Left Join (cost=24,239.97..25,000.49 rows=1 width=569) (actual time=1,650.456..7,602.702 rows=10 loops=1)

38. 0.059 7,601.373 ↓ 10.0 10 1

Nested Loop Left Join (cost=24,239.68..25,000.09 rows=1 width=569) (actual time=1,649.259..7,601.373 rows=10 loops=1)

39. 0.033 7,600.404 ↓ 10.0 10 1

Nested Loop Left Join (cost=24,239.39..24,999.77 rows=1 width=561) (actual time=1,648.432..7,600.404 rows=10 loops=1)

40. 0.053 7,573.931 ↓ 10.0 10 1

Nested Loop Left Join (cost=24,238.54..24,998.60 rows=1 width=528) (actual time=1,645.418..7,573.931 rows=10 loops=1)

41. 0.040 7,572.998 ↓ 10.0 10 1

Nested Loop Left Join (cost=24,237.96..24,991.45 rows=1 width=528) (actual time=1,644.728..7,572.998 rows=10 loops=1)

42. 0.056 7,572.088 ↓ 10.0 10 1

Nested Loop Left Join (cost=24,237.82..24,991.29 rows=1 width=496) (actual time=1,643.897..7,572.088 rows=10 loops=1)

  • Join Filter: (p.fallbacklocale ~~* (cd_label_fallback.locale || '%'::text))
  • Rows Removed by Join Filter: 10
43. 0.080 7,571.982 ↓ 10.0 10 1

Nested Loop Left Join (cost=24,237.40..24,990.62 rows=1 width=410) (actual time=1,643.890..7,571.982 rows=10 loops=1)

44. 0.040 7,569.232 ↓ 10.0 10 1

Nested Loop Left Join (cost=24,236.97..24,989.96 rows=1 width=321) (actual time=1,643.449..7,569.232 rows=10 loops=1)

45. 0.049 7,568.482 ↓ 10.0 10 1

Nested Loop Left Join (cost=24,236.84..24,989.79 rows=1 width=289) (actual time=1,642.826..7,568.482 rows=10 loops=1)

46. 103.286 7,566.293 ↓ 10.0 10 1

Nested Loop (cost=24,236.70..24,988.95 rows=1 width=257) (actual time=1,642.572..7,566.293 rows=10 loops=1)

  • Join Filter: (pv.id = od.id)
  • Rows Removed by Join Filter: 2072690
47. 0.064 1,168.497 ↓ 10.0 10 1

Merge Join (cost=10.07..10.09 rows=1 width=239) (actual time=1,168.420..1,168.497 rows=10 loops=1)

  • Merge Cond: (pv.id = premiums.idpolicyversion)
48. 0.018 1,163.896 ↓ 10.0 10 1

Sort (cost=10.04..10.04 rows=1 width=167) (actual time=1,163.887..1,163.896 rows=10 loops=1)

  • Sort Key: w.idpolicyversion
  • Sort Method: quicksort Memory: 27kB
49. 0.012 1,163.878 ↓ 10.0 10 1

Nested Loop (cost=1.25..10.03 rows=1 width=167) (actual time=1,163.770..1,163.878 rows=10 loops=1)

50. 0.007 1,163.856 ↓ 10.0 10 1

Nested Loop (cost=1.12..9.87 rows=1 width=143) (actual time=1,163.757..1,163.856 rows=10 loops=1)

51. 0.010 1,161.509 ↓ 10.0 10 1

Nested Loop (cost=0.99..9.54 rows=1 width=117) (actual time=1,161.423..1,161.509 rows=10 loops=1)

52. 0.006 1,161.469 ↓ 10.0 10 1

Nested Loop (cost=0.84..9.38 rows=1 width=100) (actual time=1,161.407..1,161.469 rows=10 loops=1)

53. 0.004 1,161.433 ↓ 10.0 10 1

Nested Loop (cost=0.42..8.46 rows=1 width=44) (actual time=1,161.399..1,161.433 rows=10 loops=1)

54. 1,161.399 1,161.399 ↓ 10.0 10 1

CTE Scan on datawindow w (cost=0.00..0.02 rows=1 width=8) (actual time=1,161.387..1,161.399 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..0.92 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. 2.340 2.340 ↑ 1.0 1 10

Index Only Scan using tblproductline_pkey on tblproductline pl (cost=0.14..0.31 rows=1 width=32) (actual time=0.234..0.234 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. 0.022 4.537 ↓ 10.0 10 1

Sort (cost=0.03..0.04 rows=1 width=72) (actual time=4.523..4.537 rows=10 loops=1)

  • Sort Key: premiums.idpolicyversion
  • Sort Method: quicksort Memory: 25kB
61. 4.515 4.515 ↓ 10.0 10 1

CTE Scan on premiums (cost=0.00..0.02 rows=1 width=72) (actual time=4.382..4.515 rows=10 loops=1)

62. 1,128.720 6,294.510 ↓ 147.3 207,270 10

Nested Loop (cost=24,226.63..24,961.27 rows=1,407 width=50) (actual time=43.738..629.451 rows=207,270 loops=10)

63. 647.175 1,020.390 ↓ 147.3 207,270 10

HashAggregate (cost=24,226.21..24,240.28 rows=1,407 width=8) (actual time=43.733..102.039 rows=207,270 loops=10)

  • Group Key: od_1.id
64. 132.775 373.215 ↓ 147.3 207,270 1

Hash Join (cost=15,507.93..24,222.69 rows=1,407 width=8) (actual time=210.577..373.215 rows=207,270 loops=1)

  • Hash Cond: ((od_1.offernumber = tblofferdata.offernumber) AND ((od_1.offerversion)::bigint = (max((tblofferdata.offerversion)::bigint))))
65. 30.085 30.085 ↓ 1.0 281,405 1

Seq Scan on tblofferdata od_1 (cost=0.00..7,167.04 rows=281,404 width=21) (actual time=0.007..30.085 rows=281,405 loops=1)

66. 38.962 210.355 ↓ 1.3 207,251 1

Hash (cost=13,139.28..13,139.28 rows=157,910 width=19) (actual time=210.354..210.355 rows=207,251 loops=1)

  • Buckets: 262144 Batches: 1 Memory Usage: 13383kB
67. 142.413 171.393 ↓ 1.3 207,251 1

HashAggregate (cost=9,981.08..11,560.18 rows=157,910 width=19) (actual time=120.919..171.393 rows=207,251 loops=1)

  • Group Key: tblofferdata.offernumber
68. 28.980 28.980 ↓ 1.0 281,405 1

Seq Scan on tblofferdata (cost=0.00..7,167.04 rows=281,404 width=13) (actual time=0.005..28.980 rows=281,405 loops=1)

69. 4,145.400 4,145.400 ↑ 1.0 1 2,072,700

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=2,072,700)

  • Index Cond: (id = od_1.id)
70. 2.140 2.140 ↑ 1.0 1 10

Index Scan using tblproductlinelabel_pkey on tblproductlinelabel pl_label (cost=0.14..0.83 rows=1 width=64) (actual time=0.213..0.214 rows=1 loops=10)

  • Index Cond: (id = pl.id)
  • Filter: ('pl_PL'::text ~~* (locale || '%'::text))
  • Rows Removed by Filter: 1
71. 0.710 0.710 ↑ 1.0 1 10

Index Scan using tblinsurancetypelabel_pkey on tblinsurancetypelabel it_label (cost=0.14..0.16 rows=1 width=64) (actual time=0.070..0.071 rows=1 loops=10)

  • Index Cond: (p.idinsurancetype = id)
  • Filter: ('pl_PL'::text ~~* (locale || '%'::text))
  • Rows Removed by Filter: 2
72. 2.670 2.670 ↑ 1.0 1 10

Index Scan using tblpolicycoveragedescription_unique on tblpolicycoveragedescription cd_label (cost=0.42..0.65 rows=1 width=97) (actual time=0.266..0.267 rows=1 loops=10)

  • Index Cond: (idpolicyversion = pv.id)
  • Filter: ('pl_PL'::text ~~* (locale || '%'::text))
  • Rows Removed by Filter: 1
73. 0.050 0.050 ↑ 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=0.004..0.005 rows=2 loops=10)

  • Index Cond: (idpolicyversion = pv.id)
74. 0.870 0.870 ↑ 1.0 1 10

Index Scan using tblintegration_key_key on tblintegration i (cost=0.14..0.16 rows=1 width=64) (actual time=0.087..0.087 rows=1 loops=10)

  • Index Cond: (key = p.keyintegration)
75. 0.080 0.880 ↑ 1.0 1 10

Nested Loop (cost=0.57..7.15 rows=1 width=8) (actual time=0.086..0.088 rows=1 loops=10)

76. 0.770 0.770 ↑ 1.0 1 10

Index Scan using tblagencyunit_pkey on tblagencyunit u2 (cost=0.28..0.31 rows=1 width=25) (actual time=0.076..0.077 rows=1 loops=10)

  • Index Cond: (id = p.idagencyunit)
  • Filter: (nlevel(path) = 2)
77. 0.030 0.030 ↑ 1.0 1 10

Index Scan using tblagencyunit_pkey on tblagencyunit u1 (cost=0.29..6.31 rows=1 width=8) (actual time=0.003..0.003 rows=1 loops=10)

  • Index Cond: (id = (ltree2text(subpath(u2.path, 0, 1)))::bigint)
  • Filter: (nlevel(path) = 1)
78. 0.090 26.440 ↑ 1.0 1 10

Nested Loop (cost=0.85..1.15 rows=1 width=41) (actual time=2.642..2.644 rows=1 loops=10)

79. 6.070 6.070 ↑ 1.0 1 10

Index Scan using tblpolicyclient_idpolicyversion on tblpolicyclient pc_ubezpieczony (cost=0.42..0.62 rows=1 width=49) (actual time=0.606..0.607 rows=1 loops=10)

  • Index Cond: (pv.id = idpolicyversion)
80. 20.280 20.280 ↑ 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=2.028..2.028 rows=1 loops=10)

  • Index Cond: ((idpolicyclient = pc_ubezpieczony.id) AND (role = 'ubezpieczony'::text))
  • Heap Fetches: 10
81. 0.910 0.910 ↑ 1.0 1 10

Index Scan using tblclient_pkey on tblclient c (cost=0.29..0.32 rows=1 width=16) (actual time=0.091..0.091 rows=1 loops=10)

  • Index Cond: (pc_ubezpieczony.idclient = id)
82. 1.280 1.280 ↑ 1.0 1 10

Index Only Scan using tblmetaclient_pkey on tblmetaclient mc (cost=0.29..0.40 rows=1 width=8) (actual time=0.128..0.128 rows=1 loops=10)

  • Index Cond: (id = c.idmetaclient)
  • Heap Fetches: 10
83. 0.050 0.050 ↑ 1.0 1 10

Index Scan using tblagencyunit_pkey on tblagencyunit agency (cost=0.28..0.30 rows=1 width=36) (actual time=0.005..0.005 rows=1 loops=10)

  • Index Cond: (id = p.idagency)
84. 0.020 0.020 ↑ 1.0 1 10

Index Scan using tblagencyunit_pkey on tblagencyunit division (cost=0.28..0.30 rows=1 width=34) (actual time=0.002..0.002 rows=1 loops=10)

  • Index Cond: (id = p.idagencyunit)
85. 0.860 0.860 ↑ 1.0 1 10

Index Scan using tblemployee_pkey on tblemployee employee (cost=0.29..0.31 rows=1 width=24) (actual time=0.086..0.086 rows=1 loops=10)

  • Index Cond: (id = p.idemployee)
Planning time : 22.388 ms
Execution time : 7,624.061 ms