explain.depesz.com

PostgreSQL's explain analyze made readable

Result: nS5m

Settings
# exclusive inclusive rows x rows loops node
1. 0.013 573.985 ↑ 1.0 10 1

Limit (cost=27,376.61..27,376.83 rows=10 width=232) (actual time=573.969..573.985 rows=10 loops=1)

2. 0.009 573.972 ↑ 1,222.5 11 1

Unique (cost=27,376.59..27,679.17 rows=13,448 width=232) (actual time=573.963..573.972 rows=11 loops=1)

3. 322.471 573.963 ↑ 1,120.7 12 1

Sort (cost=27,376.59..27,410.21 rows=13,448 width=232) (actual time=573.962..573.963 rows=12 loops=1)

  • Sort Key: r."MOST_CRITICAL", (count(ctc."COMPANY_TO_ID") OVER (?)) DESC, r."COUNT_IMPORTANT_NEWS" DESC NULLS LAST, r."COUNT_READ_IMPORTANT_NEWS" DESC NULLS LAST, c."NAME", c."ID", c."INN", c."NEWS_SUPPLIED
  • Sort Method: quicksort Memory: 3280kB
4. 6.202 251.492 ↓ 1.0 13,449 1

WindowAgg (cost=26,219.04..26,454.38 rows=13,448 width=232) (actual time=244.505..251.492 rows=13,449 loops=1)

5. 4.509 245.290 ↓ 1.0 13,449 1

Sort (cost=26,219.04..26,252.66 rows=13,448 width=306) (actual time=244.496..245.290 rows=13,449 loops=1)

  • Sort Key: ctc."COMPANY_FROM_ID
  • Sort Method: quicksort Memory: 2966kB
6. 2.632 240.781 ↓ 1.0 13,449 1

Hash Left Join (cost=22,382.13..23,364.84 rows=13,448 width=306) (actual time=229.867..240.781 rows=13,449 loops=1)

  • Hash Cond: ((c."ID")::text = (r."COMPANY_ID")::text)
7. 2.068 12.904 ↓ 1.0 13,449 1

Hash Left Join (cost=550.25..1,497.64 rows=13,448 width=286) (actual time=4.617..12.904 rows=13,449 loops=1)

  • Hash Cond: ((c."ID")::text = (ctc."COMPANY_FROM_ID")::text)
8. 3.227 10.824 ↑ 1.0 13,448 1

Hash Join (cost=549.20..1,446.14 rows=13,448 width=106) (actual time=4.601..10.824 rows=13,448 loops=1)

  • Hash Cond: ((c."INN")::text = ("USER_TO_COMPANY"."COMPANY_INN")::text)
9. 3.021 3.021 ↑ 1.0 13,460 1

Seq Scan on "COMPANIES" c (cost=0.00..861.60 rows=13,460 width=106) (actual time=0.006..3.021 rows=13,460 loops=1)

10. 2.253 4.576 ↑ 1.0 13,448 1

Hash (cost=381.10..381.10 rows=13,448 width=11) (actual time=4.575..4.576 rows=13,448 loops=1)

  • Buckets: 16384 Batches: 1 Memory Usage: 694kB
11. 2.323 2.323 ↑ 1.0 13,448 1

Seq Scan on "USER_TO_COMPANY" (cost=0.00..381.10 rows=13,448 width=11) (actual time=0.003..2.323 rows=13,448 loops=1)

  • Filter: (("USER_ID")::text = 'ac680c09724b36bd3e5f81c2a8caa41a'::text)
12. 0.006 0.012 ↓ 3.0 6 1

Hash (cost=1.02..1.02 rows=2 width=180) (actual time=0.012..0.012 rows=6 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 9kB
13. 0.006 0.006 ↓ 3.0 6 1

Seq Scan on "COMPANY_TO_COMPANY" ctc (cost=0.00..1.02 rows=2 width=180) (actual time=0.005..0.006 rows=6 loops=1)

14. 0.389 225.245 ↓ 74.1 1,037 1

Hash (cost=21,831.71..21,831.71 rows=14 width=56) (actual time=225.245..225.245 rows=1,037 loops=1)

  • Buckets: 2048 (originally 1024) Batches: 1 (originally 1) Memory Usage: 111kB
15. 0.163 224.856 ↓ 74.1 1,037 1

Subquery Scan on r (cost=21,579.18..21,831.71 rows=14 width=56) (actual time=181.205..224.856 rows=1,037 loops=1)

16. 14.019 224.693 ↓ 74.1 1,037 1

GroupAggregate (cost=21,579.18..21,831.57 rows=14 width=56) (actual time=181.204..224.693 rows=1,037 loops=1)

  • Group Key: "TEXT_VIEW"."COMPANY_ID
17. 32.527 181.638 ↓ 384.4 5,381 1

Sort (cost=21,579.18..21,579.22 rows=14 width=102) (actual time=181.069..181.638 rows=5,381 loops=1)

  • Sort Key: "TEXT_VIEW"."COMPANY_ID
  • Sort Method: quicksort Memory: 948kB
18. 1.136 149.111 ↓ 384.4 5,381 1

Hash Left Join (cost=8,748.49..21,578.91 rows=14 width=102) (actual time=109.551..149.111 rows=5,381 loops=1)

  • Hash Cond: (("TEXT_VIEW"."TEXT_ID")::text = ("TRU"."TEXT_ID")::text)
19. 29.150 147.942 ↓ 384.4 5,381 1

Hash Join (cost=8,747.47..21,577.85 rows=14 width=69) (actual time=109.511..147.942 rows=5,381 loops=1)

  • Hash Cond: ((("TEXT_VIEW"."TEXT_ID")::text = (ttc."TEXT_ID")::text) AND (("TEXT_VIEW"."COMPANY_ID")::text = (ttc."COMPANY_ID")::text))
20. 2.052 15.374 ↑ 14.6 7,670 1

Hash Join (cost=551.51..12,795.46 rows=111,702 width=69) (actual time=5.897..15.374 rows=7,670 loops=1)

  • Hash Cond: (((unnest("TEXT_VIEW"."EVENTS_IDS")))::text = ("USER_ROLES_TO_EVENTS"."EVENT_ID")::text)
21. 2.861 13.301 ↑ 77.1 8,284 1

ProjectSet (cost=549.20..4,699.10 rows=638,300 width=101) (actual time=5.808..13.301 rows=8,284 loops=1)

22. 2.111 10.440 ↑ 1.0 6,377 1

Hash Join (cost=549.20..1,459.73 rows=6,383 width=99) (actual time=5.788..10.440 rows=6,377 loops=1)

  • Hash Cond: (("TEXT_VIEW"."INN")::text = ("USER_TO_COMPANY_1"."COMPANY_INN")::text)
23. 2.613 2.613 ↑ 1.0 6,382 1

Seq Scan on "TEXT_VIEW" (cost=0.00..893.77 rows=6,383 width=110) (actual time=0.043..2.613 rows=6,382 loops=1)

  • Filter: (("TEXT_DATE" >= '2019-11-01 00:00:00'::timestamp without time zone) AND ("TEXT_DATE" <= '2020-01-30 00:00:00'::timestamp without time zone))
  • Rows Removed by Filter: 4203
24. 3.016 5.716 ↑ 1.0 13,448 1

Hash (cost=381.10..381.10 rows=13,448 width=11) (actual time=5.716..5.716 rows=13,448 loops=1)

  • Buckets: 16384 Batches: 1 Memory Usage: 694kB
25. 2.700 2.700 ↑ 1.0 13,448 1

Seq Scan on "USER_TO_COMPANY" "USER_TO_COMPANY_1" (cost=0.00..381.10 rows=13,448 width=11) (actual time=0.006..2.700 rows=13,448 loops=1)

  • Filter: (("USER_ID")::text = 'ac680c09724b36bd3e5f81c2a8caa41a'::text)
26. 0.008 0.021 ↑ 1.0 35 1

Hash (cost=1.88..1.88 rows=35 width=3) (actual time=0.021..0.021 rows=35 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 10kB
27. 0.013 0.013 ↑ 1.0 35 1

Seq Scan on "USER_ROLES_TO_EVENTS" (cost=0.00..1.88 rows=35 width=3) (actual time=0.006..0.013 rows=35 loops=1)

  • Filter: (("USER_ROLE_ID")::text = '0'::text)
  • Rows Removed by Filter: 35
28. 55.627 103.418 ↓ 182.6 127,092 1

Hash (cost=8,185.51..8,185.51 rows=696 width=55) (actual time=103.418..103.418 rows=127,092 loops=1)

  • Buckets: 65536 (originally 1024) Batches: 4 (originally 1) Memory Usage: 3585kB
29. 47.791 47.791 ↓ 182.6 127,092 1

Seq Scan on "TEXT_TO_COMPANY" ttc (cost=0.00..8,185.51 rows=696 width=55) (actual time=0.047..47.791 rows=127,092 loops=1)

  • Filter: (("ID")::text = ("MASTER_GUID")::text)
  • Rows Removed by Filter: 12069
30. 0.019 0.033 ↓ 28.0 28 1

Hash (cost=1.01..1.01 rows=1 width=33) (actual time=0.033..0.033 rows=28 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 10kB
31. 0.014 0.014 ↓ 28.0 28 1

Seq Scan on "TEXT_READ_BY_USER" "TRU" (cost=0.00..1.01 rows=1 width=33) (actual time=0.009..0.014 rows=28 loops=1)

  • Filter: (("USER_ID")::text = 'ac680c09724b36bd3e5f81c2a8caa41a'::text)
32.          

SubPlan (for GroupAggregate)

33. 1.037 29.036 ↑ 2.0 1 1,037

GroupAggregate (cost=6.78..18.01 rows=2 width=40) (actual time=0.028..0.028 rows=1 loops=1,037)

  • Group Key: ce."COMPANY_ID
34. 2.435 27.999 ↓ 2.0 4 1,037

Nested Loop (cost=6.78..17.98 rows=2 width=40) (actual time=0.017..0.027 rows=4 loops=1,037)

  • Join Filter: ((ce."EVENT_ID")::text = (e."ID")::text)
35. 2.034 14.518 ↓ 1.3 4 1,037

Hash Join (cost=6.63..16.77 rows=3 width=41) (actual time=0.013..0.014 rows=4 loops=1,037)

  • Hash Cond: ((ce."EVENT_ID")::text = ("USER_ROLES_TO_EVENTS_1"."EVENT_ID")::text)
36. 2.074 12.444 ↓ 1.3 4 1,037

Bitmap Heap Scan on "COUNTERS_EVENTS" ce (cost=4.32..14.45 rows=3 width=38) (actual time=0.011..0.012 rows=4 loops=1,037)

  • Recheck Cond: ((("COMPANY_ID")::text = ("TEXT_VIEW"."COMPANY_ID")::text) AND ("DATE" >= '2019-11-01 00:00:00'::timestamp without time zone) AND ("DATE" <= '2020-01-30 00:00:00'::timestamp without time zone))
  • Heap Blocks: exact=1993
37. 10.370 10.370 ↓ 1.3 4 1,037

Bitmap Index Scan on "IDX_COUNTERS_EVENTS_COMPANY_DATE" (cost=0.00..4.32 rows=3 width=0) (actual time=0.010..0.010 rows=4 loops=1,037)

  • Index Cond: ((("COMPANY_ID")::text = ("TEXT_VIEW"."COMPANY_ID")::text) AND ("DATE" >= '2019-11-01 00:00:00'::timestamp without time zone) AND ("DATE" <= '2020-01-30 00:00:00'::timestamp without time zone))
38. 0.021 0.040 ↑ 1.0 35 1

Hash (cost=1.88..1.88 rows=35 width=3) (actual time=0.040..0.040 rows=35 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 10kB
39. 0.019 0.019 ↑ 1.0 35 1

Seq Scan on "USER_ROLES_TO_EVENTS" "USER_ROLES_TO_EVENTS_1" (cost=0.00..1.88 rows=35 width=3) (actual time=0.012..0.019 rows=35 loops=1)

  • Filter: (("USER_ROLE_ID")::text = '0'::text)
  • Rows Removed by Filter: 35
40. 11.046 11.046 ↑ 1.0 1 3,682

Index Only Scan using "IDX_EVENTS_ID_STATUS" on "EVENTS" e (cost=0.14..0.39 rows=1 width=7) (actual time=0.003..0.003 rows=1 loops=3,682)

  • Index Cond: ("ID" = ("USER_ROLES_TO_EVENTS_1"."EVENT_ID")::text)
  • Heap Fetches: 0
Planning time : 3.526 ms
Execution time : 575.331 ms