#	exclusive	inclusive	rows x	rows	loops	node
1.	0.233	17,095.559	↑ 5,111.0	1,328	1	→ Append (cost=14,449.01..1,572,091,808.40 rows=6,787,461 width=632) (actual time=4,165.134..17,095.559 rows=1,328 loops=1)
2.	1.050	17,088.161	↑ 5,841.2	1,162	1	→ Subquery Scan on SELECT 1 (cost=14,449.01..1,572,091,784.00 rows=6,787,460 width=632) (actual time=4,165.133..17,088.161 rows=1,162 loops=1)
3.	52.103	17,087.111	↑ 5,841.2	1,162	1	→ Hash Left Join (cost=14,449.01..1,572,023,909.40 rows=6,787,460 width=632) (actual time=4,165.130..17,087.111 rows=1,162 loops=1) Hash Cond: (call_event.id_object = o.id)
4.	2.945	16,296.833	↑ 5,841.2	1,162	1	→ Hash Left Join (cost=13,811.74..1,152,429.19 rows=6,787,460 width=632) (actual time=4,153.705..16,296.833 rows=1,162 loops=1) Hash Cond: (call_event.id_full_adress = full_adress.id)
5.	60.227	16,191.507	↑ 5,841.2	1,162	1	→ Merge Left Join (cost=9,837.46..1,072,822.24 rows=6,787,460 width=580) (actual time=4,051.293..16,191.507 rows=1,162 loops=1) Merge Cond: (call_event.id = ac.id_call)
6.	5.992	15,844.961	↑ 5,841.2	1,162	1	→ Merge Left Join (cost=9,724.82..1,043,975.66 rows=6,787,460 width=537) (actual time=3,736.163..15,844.961 rows=1,162 loops=1) Merge Cond: (call_event.id = apa.id)
7.	15,657.506	15,832.235	↑ 5,841.2	1,162	1	→ Index Scan using call_event_sys_c0042567 on call_event (cost=9,724.54..1,023,339.00 rows=6,787,460 width=485) (actual time=3,736.115..15,832.235 rows=1,162 loops=1) Filter: ((is_active = 1::numeric) OR (hashed SubPlan 19)) Rows Removed by Filter: 13594682
8.						SubPlan (for Index Scan)
9.	174.729	174.729	↓ 16.0	16	1	→ Seq Scan on ref_pult_event (cost=0.00..9,724.10 rows=1 width=6) (actual time=118.221..174.729 rows=16 loops=1) Filter: (status <> ALL ('{3,10}'::numeric[])) Rows Removed by Filter: 315036
10.	6.734	6.734	↑ 1.0	15,738	1	→ Index Scan using arm03_patient_assistance_sys_c0055818 on arm03_patient_assistance apa (cost=0.29..5,861.47 rows=15,945 width=59) (actual time=0.040..6.734 rows=15,738 loops=1)
11.	286.319	286.319	↑ 1.0	184,355	1	→ Index Scan using arm03_call_pk on arm03_call ac (cost=0.42..11,105.04 rows=186,851 width=49) (actual time=0.036..286.319 rows=184,355 loops=1)
12.	3.929	102.381	↓ 1.0	6,518	1	→ Hash (cost=3,892.82..3,892.82 rows=6,517 width=57) (actual time=102.381..102.381 rows=6,518 loops=1) Buckets: 1024 Batches: 1 Memory Usage: 567kB
13.	5.905	98.452	↓ 1.0	6,518	1	→ Hash Left Join (cost=2,973.09..3,892.82 rows=6,517 width=57) (actual time=67.960..98.452 rows=6,518 loops=1) Hash Cond: (base_adress.id_street = street.id)
14.	4.964	91.118	↓ 1.0	6,518	1	→ Hash Left Join (cost=2,910.41..3,732.38 rows=6,517 width=39) (actual time=66.520..91.118 rows=6,518 loops=1) Hash Cond: (base_adress.id_city = city.id)
15.	17.494	85.924	↓ 1.0	6,518	1	→ Hash Left Join (cost=2,899.66..3,632.03 rows=6,517 width=24) (actual time=66.272..85.924 rows=6,518 loops=1) Hash Cond: (full_adress.id_base_adress = base_adress.id)
16.	2.228	2.228	↓ 1.0	6,518	1	→ Seq Scan on full_adress (cost=0.00..104.17 rows=6,517 width=11) (actual time=0.016..2.228 rows=6,518 loops=1)
17.	36.324	66.202	↓ 1.0	75,292	1	→ Hash (cost=1,516.74..1,516.74 rows=75,274 width=19) (actual time=66.202..66.202 rows=75,292 loops=1) Buckets: 8192 Batches: 2 Memory Usage: 1923kB
18.	29.878	29.878	↓ 1.0	75,292	1	→ Seq Scan on base_adress (cost=0.00..1,516.74 rows=75,274 width=19) (actual time=0.012..29.878 rows=75,292 loops=1)
19.	0.123	0.230	↑ 1.0	344	1	→ Hash (cost=6.44..6.44 rows=344 width=25) (actual time=0.230..0.230 rows=344 loops=1) Buckets: 1024 Batches: 1 Memory Usage: 20kB
20.	0.107	0.107	↑ 1.0	344	1	→ Seq Scan on city (cost=0.00..6.44 rows=344 width=25) (actual time=0.009..0.107 rows=344 loops=1)
21.	0.821	1.429	↓ 1.0	2,076	1	→ Hash (cost=36.75..36.75 rows=2,075 width=28) (actual time=1.429..1.429 rows=2,076 loops=1) Buckets: 1024 Batches: 1 Memory Usage: 124kB
22.	0.608	0.608	↓ 1.0	2,076	1	→ Seq Scan on street (cost=0.00..36.75 rows=2,075 width=28) (actual time=0.012..0.608 rows=2,076 loops=1)
23.	1.027	8.439	↑ 1.0	2,431	1	→ Hash (cost=606.88..606.88 rows=2,431 width=5) (actual time=8.439..8.439 rows=2,431 loops=1) Buckets: 1024 Batches: 1 Memory Usage: 88kB
24.	7.412	7.412	↑ 1.0	2,431	1	→ Seq Scan on objects o (cost=0.00..606.88 rows=2,431 width=5) (actual time=0.028..7.412 rows=2,431 loops=1) Filter: (deleted <> 1::numeric) Rows Removed by Filter: 359
25.						SubPlan (for Hash Left Join)
26.	1.162	9.296	↓ 0.0	0	1,162	→ Limit (cost=0.56..8.58 rows=1 width=6) (actual time=0.008..0.008 rows=0 loops=1,162)
27.	8.134	8.134	↓ 0.0	0	1,162	→ Index Scan using history_events_idx_5 on history_events history_events_1 (cost=0.56..8.58 rows=1 width=6) (actual time=0.007..0.007 rows=0 loops=1,162) Index Cond: (id_call = call_event.id)
28.	1.162	15.106	↓ 0.0	0	1,162	→ Subquery Scan on rcv_time1 (cost=8.31..8.33 rows=1 width=8) (actual time=0.013..0.013 rows=0 loops=1,162)
29.	1.162	13.944	↓ 0.0	0	1,162	→ Limit (cost=8.31..8.32 rows=1 width=20) (actual time=0.012..0.012 rows=0 loops=1,162)
30.	5.810	12.782	↓ 0.0	0	1,162	→ Sort (cost=8.31..8.32 rows=1 width=20) (actual time=0.011..0.011 rows=0 loops=1,162) Sort Key: call_tech.id Sort Method: quicksort Memory: 25kB
31.	6.972	6.972	↑ 1.0	1	1,162	→ Index Scan using call_tech_idx on call_tech (cost=0.29..8.30 rows=1 width=20) (actual time=0.004..0.006 rows=1 loops=1,162) Index Cond: (id_call = call_event.id)
32.	1.162	4.648	↑ 1.0	1	1,162	→ Aggregate (cost=8.31..8.32 rows=1 width=8) (actual time=0.004..0.004 rows=1 loops=1,162)
33.	3.486	3.486	↑ 1.0	1	1,162	→ Index Scan using call_tech_idx on call_tech call_tech_1 (cost=0.29..8.30 rows=1 width=8) (actual time=0.002..0.003 rows=1 loops=1,162) Index Cond: (id_call = call_event.id) Filter: (at_place_time IS NOT NULL) Rows Removed by Filter: 0
34.	1.162	4.648	↓ 0.0	0	1,162	→ Limit (cost=0.56..8.58 rows=1 width=5) (actual time=0.004..0.004 rows=0 loops=1,162)
35.	3.486	3.486	↓ 0.0	0	1,162	→ Index Scan using history_events_idx_5 on history_events history_events_2 (cost=0.56..8.58 rows=1 width=5) (actual time=0.003..0.003 rows=0 loops=1,162) Index Cond: (id_call = call_event.id)
36.	1.162	32.536	↓ 0.0	0	1,162	→ Limit (cost=0.29..16.65 rows=1 width=6) (actual time=0.028..0.028 rows=0 loops=1,162)
37.	4.886	31.374	↓ 0.0	0	1,162	→ Index Only Scan using call_tech_idx on call_tech call_tech_2 (cost=0.29..16.65 rows=1 width=6) (actual time=0.027..0.027 rows=0 loops=1,162) Index Cond: (id_call = call_event.id) Heap Fetches: 299
38.						SubPlan (for Index Only Scan)
39.	23.478	26.488	↑ 1.0	1	301	→ Aggregate (cost=8.33..8.34 rows=1 width=83) (actual time=0.088..0.088 rows=1 loops=301)
40.	3.010	3.010	↓ 4.0	4	301	→ Index Scan using call_tech_idx on call_tech ct (cost=0.29..8.31 rows=1 width=83) (actual time=0.004..0.010 rows=4 loops=301) Index Cond: (id_call = call_tech_2.id_call) Filter: (tech_deleted = 0::numeric) Rows Removed by Filter: 0
41.	10.818	33.698	↑ 1.0	1	1,162	→ Index Only Scan using arm03_call_pk on arm03_call (cost=8.87..16.89 rows=1 width=0) (actual time=0.029..0.029 rows=1 loops=1,162) Index Cond: (id_call = call_event.id) Heap Fetches: 1109
42.						Initplan (for Index Only Scan)
43.	19.448	22.880	↑ 1.0	1	1,144	→ Aggregate (cost=8.44..8.45 rows=1 width=64) (actual time=0.020..0.020 rows=1 loops=1,144)
44.	3.432	3.432	↑ 1.0	1	1,144	→ Index Scan using arm03_call_pk on arm03_call a_data (cost=0.42..8.44 rows=1 width=64) (actual time=0.003..0.003 rows=1 loops=1,144) Index Cond: (id_call = call_event.id)
45.	1.162	12.782	↑ 1.0	1	1,162	→ Limit (cost=0.00..1.58 rows=1 width=5) (actual time=0.011..0.011 rows=1 loops=1,162)
46.	11.620	11.620	↑ 1.0	1	1,162	→ Seq Scan on event_type (cost=0.00..1.58 rows=1 width=5) (actual time=0.010..0.010 rows=1 loops=1,162) Filter: (id = call_event.id_event_type) Rows Removed by Filter: 45
47.	1.162	3.486	↓ 0.0	0	1,162	→ Limit (cost=0.29..24.51 rows=1 width=20) (actual time=0.003..0.003 rows=0 loops=1,162)
48.	1.162	2.324	↓ 0.0	0	1,162	→ Nested Loop Semi Join (cost=0.29..24.51 rows=1 width=20) (actual time=0.002..0.002 rows=0 loops=1,162)
49.	1.162	1.162	↓ 0.0	0	1,162	→ Index Only Scan using call_result_value_sys_c0042574 on call_result_value (cost=0.14..8.16 rows=1 width=40) (actual time=0.001..0.001 rows=0 loops=1,162) Index Cond: (id_call = call_event.id) Heap Fetches: 0
50.	0.000	0.000	↓ 0.0		0	→ Index Only Scan using event_list_field_set_idx on event_list_field_set (cost=0.14..8.16 rows=1 width=20) (never executed) Index Cond: (id_adv_field = call_result_value.id_field) Heap Fetches: 0
51.						SubPlan (for Nested Loop Semi Join)
52.	0.000	0.000	↓ 0.0		0	→ Aggregate (cost=8.16..8.17 rows=1 width=536) (never executed)
53.	0.000	0.000	↓ 0.0		0	→ Index Scan using call_result_value_sys_c0042574 on call_result_value crv (cost=0.14..8.16 rows=1 width=536) (never executed) Index Cond: (id_call = call_result_value.id_call)
54.	0.000	3.486	↓ 0.0	0	1,162	→ Limit (cost=0.29..8.31 rows=1 width=11) (actual time=0.003..0.003 rows=0 loops=1,162)
55.	3.486	3.486	↓ 0.0	0	1,162	→ Index Scan using ref_call_event_sound_idx on ref_call_event_sound (cost=0.29..8.31 rows=1 width=11) (actual time=0.003..0.003 rows=0 loops=1,162) Index Cond: (id_call_event = call_event.id) Filter: (is_out <> 1::numeric)
56.	1.162	5.810	↓ 0.0	0	1,162	→ Limit (cost=0.42..8.44 rows=1 width=6) (actual time=0.005..0.005 rows=0 loops=1,162)
57.	4.648	4.648	↓ 0.0	0	1,162	→ Index Only Scan using linked_event_sys_c0042583 on linked_event (cost=0.42..8.44 rows=1 width=6) (actual time=0.004..0.004 rows=0 loops=1,162) Index Cond: (id = call_event.id) Heap Fetches: 2
58.	26.726	85.988	↑ 1.0	1	1,162	→ Aggregate (cost=9.69..9.70 rows=1 width=35) (actual time=0.074..0.074 rows=1 loops=1,162)
59.	59.262	59.262	↑ 3.8	5	1,162	→ Index Scan using linked_event_call_idx on linked_event l_event (cost=0.42..9.64 rows=19 width=35) (actual time=0.020..0.051 rows=5 loops=1,162) Index Cond: (id_call = call_event.id)
60.	2.324	4.648	↑ 1.0	1	1,162	→ Aggregate (cost=12.65..12.66 rows=1 width=44) (actual time=0.004..0.004 rows=1 loops=1,162)
61.	1.162	2.324	↓ 0.0	0	1,162	→ Bitmap Heap Scan on ref_call_staff (cost=4.18..12.64 rows=4 width=44) (actual time=0.002..0.002 rows=0 loops=1,162) Recheck Cond: (id_call = call_event.id)
62.	1.162	1.162	↓ 0.0	0	1,162	→ Bitmap Index Scan on ref_call_staff_pk (cost=0.00..4.18 rows=4 width=0) (actual time=0.001..0.001 rows=0 loops=1,162) Index Cond: (id_call = call_event.id)
63.	42.994	65.072	↑ 1.0	1	1,162	→ Aggregate (cost=13.22..13.23 rows=1 width=117) (actual time=0.056..0.056 rows=1 loops=1,162)
64.	4.588	22.078	↑ 3.0	2	1,162	→ Hash Join (cost=2.96..13.19 rows=6 width=117) (actual time=0.009..0.019 rows=2 loops=1,162) Hash Cond: (call_info.id_oper = user_pult.id_user)
65.	17.430	17.430	↑ 3.0	2	1,162	→ Index Scan using call_info_idx on call_info (cost=0.43..10.58 rows=6 width=114) (actual time=0.008..0.015 rows=2 loops=1,162) Index Cond: (id_call = call_event.id)
66.	0.029	0.060	↓ 1.0	70	1	→ Hash (cost=1.68..1.68 rows=68 width=8) (actual time=0.060..0.060 rows=70 loops=1) Buckets: 1024 Batches: 1 Memory Usage: 3kB
67.	0.031	0.031	↓ 1.0	70	1	→ Seq Scan on user_pult (cost=0.00..1.68 rows=68 width=8) (actual time=0.013..0.031 rows=70 loops=1)
68.	5.810	446.208	↑ 1.0	1	1,162	→ Limit (cost=75.37..75.38 rows=1 width=109) (actual time=0.384..0.384 rows=1 loops=1,162)
69.	290.500	440.398	↑ 1.0	1	1,162	→ Aggregate (cost=75.37..75.38 rows=1 width=109) (actual time=0.379..0.379 rows=1 loops=1,162)
70.	16.690	149.898	↓ 2.0	16	1,162	→ Nested Loop (cost=0.71..75.33 rows=8 width=109) (actual time=0.015..0.129 rows=16 loops=1,162)
71.	58.100	58.100	↓ 2.0	16	1,162	→ Index Scan using call_action_idx on call_action (cost=0.43..12.83 rows=8 width=59) (actual time=0.010..0.050 rows=16 loops=1,162) Index Cond: (id_call = call_event.id) Filter: (action_deleted = 0::numeric)
72.	75.108	75.108	↑ 1.0	1	18,777	→ Index Scan using standart_phrases_sys_c0042494 on standart_phrases (cost=0.28..7.80 rows=1 width=56) (actual time=0.003..0.004 rows=1 loops=18,777) Index Cond: (id = call_action.id_action)
73.	2.324	2.324	↑ 1.0	1	1,162	→ Aggregate (cost=10.25..10.26 rows=1 width=0) (actual time=0.002..0.002 rows=1 loops=1,162)
74.	0.000	0.000	↓ 0.0	0	1,162	→ Seq Scan on glonass_event_info (cost=0.00..10.25 rows=1 width=0) (actual time=0.000..0.000 rows=0 loops=1,162) Filter: (id_call = call_event.id)
75.	0.415	7.165	↓ 166.0	166	1	→ Subquery Scan on SELECT 2 (cost=7.63..24.41 rows=1 width=141) (actual time=3.119..7.165 rows=166 loops=1)
76.	0.153	6.750	↓ 166.0	166	1	→ Nested Loop Left Join (cost=7.63..24.40 rows=1 width=141) (actual time=3.107..6.750 rows=166 loops=1)
77.	0.175	6.099	↓ 166.0	166	1	→ Nested Loop Left Join (cost=7.35..24.09 rows=1 width=123) (actual time=3.084..6.099 rows=166 loops=1)
78.	0.115	5.592	↓ 166.0	166	1	→ Nested Loop Left Join (cost=7.20..23.91 rows=1 width=108) (actual time=3.071..5.592 rows=166 loops=1)
79.	0.082	4.647	↓ 166.0	166	1	→ Nested Loop Left Join (cost=6.91..22.87 rows=1 width=101) (actual time=3.054..4.647 rows=166 loops=1)
80.	0.039	4.067	↓ 166.0	166	1	→ Nested Loop Left Join (cost=6.62..22.47 rows=1 width=100) (actual time=3.035..4.067 rows=166 loops=1)
81.	0.173	3.198	↓ 166.0	166	1	→ Hash Right Join (cost=6.34..14.16 rows=1 width=95) (actual time=3.009..3.198 rows=166 loops=1) Hash Cond: (r.id = history_events.id_rank)
82.	0.037	0.037	↑ 1.0	277	1	→ Seq Scan on rank r (cost=0.00..6.77 rows=277 width=10) (actual time=0.004..0.037 rows=277 loops=1)
83.	0.043	2.988	↓ 166.0	166	1	→ Hash (cost=6.33..6.33 rows=1 width=90) (actual time=2.988..2.988 rows=166 loops=1) Buckets: 1024 Batches: 1 Memory Usage: 20kB
84.	2.945	2.945	↓ 166.0	166	1	→ Index Scan using history_events_new_idx_call_i on history_events (cost=0.56..6.33 rows=1 width=90) (actual time=0.037..2.945 rows=166 loops=1) Index Cond: ((is_active = 1::numeric) AND (id_call IS NULL))
85.	0.830	0.830	↑ 1.0	1	166	→ Index Scan using objects_sys_c0042470 on objects (cost=0.28..8.30 rows=1 width=10) (actual time=0.004..0.005 rows=1 loops=166) Index Cond: (history_events.id_object = id)
86.	0.498	0.498	↑ 1.0	1	166	→ Index Scan using full_adress_sys_c0042551 on full_adress full_adress_1 (cost=0.28..0.38 rows=1 width=11) (actual time=0.003..0.003 rows=1 loops=166) Index Cond: (id = objects.id_full_adress)
87.	0.830	0.830	↑ 1.0	1	166	→ Index Scan using base_adress_sys_c0042564 on base_adress base_adress_1 (cost=0.29..1.04 rows=1 width=19) (actual time=0.005..0.005 rows=1 loops=166) Index Cond: (full_adress_1.id_base_adress = id)
88.	0.332	0.332	↑ 1.0	1	166	→ Index Scan using city_sys_c0042422 on city city_1 (cost=0.15..0.17 rows=1 width=25) (actual time=0.002..0.002 rows=1 loops=166) Index Cond: (id = base_adress_1.id_city)
89.	0.498	0.498	↑ 1.0	1	166	→ Index Scan using street_sys_c0042497 on street street_1 (cost=0.28..0.30 rows=1 width=28) (actual time=0.002..0.003 rows=1 loops=166) Index Cond: (id = base_adress_1.id_street)

Planning time	:	10.951 ms
Execution time	:	17,096.879 ms

Append  (cost=14449.01..1572091808.40 rows=6787461 width=632) (actual time=4165.134..17095.559 rows=1328 loops=1)
  ->  Subquery Scan on "*SELECT* 1"  (cost=14449.01..1572091784.00 rows=6787460 width=632) (actual time=4165.133..17088.161 rows=1162 loops=1)
        ->  Hash Left Join  (cost=14449.01..1572023909.40 rows=6787460 width=632) (actual time=4165.130..17087.111 rows=1162 loops=1)
              Hash Cond: (call_event.id_object = o.id)
              ->  Hash Left Join  (cost=13811.74..1152429.19 rows=6787460 width=632) (actual time=4153.705..16296.833 rows=1162 loops=1)
                    Hash Cond: (call_event.id_full_adress = full_adress.id)
                    ->  Merge Left Join  (cost=9837.46..1072822.24 rows=6787460 width=580) (actual time=4051.293..16191.507 rows=1162 loops=1)
                          Merge Cond: (call_event.id = ac.id_call)
                          ->  Merge Left Join  (cost=9724.82..1043975.66 rows=6787460 width=537) (actual time=3736.163..15844.961 rows=1162 loops=1)
                                Merge Cond: (call_event.id = apa.id)
                                ->  Index Scan using call_event_sys_c0042567 on call_event  (cost=9724.54..1023339.00 rows=6787460 width=485) (actual time=3736.115..15832.235 rows=1162 loops=1)
                                      Filter: ((is_active = 1::numeric) OR (hashed SubPlan 19))
                                      Rows Removed by Filter: 13594682
                                      SubPlan 19
                                        ->  Seq Scan on ref_pult_event  (cost=0.00..9724.10 rows=1 width=6) (actual time=118.221..174.729 rows=16 loops=1)
                                              Filter: (status <> ALL ('{3,10}'::numeric[]))
                                              Rows Removed by Filter: 315036
                                ->  Index Scan using arm03_patient_assistance_sys_c0055818 on arm03_patient_assistance apa  (cost=0.29..5861.47 rows=15945 width=59) (actual time=0.040..6.734 rows=15738 loops=1)
                          ->  Index Scan using arm03_call_pk on arm03_call ac  (cost=0.42..11105.04 rows=186851 width=49) (actual time=0.036..286.319 rows=184355 loops=1)
                    ->  Hash  (cost=3892.82..3892.82 rows=6517 width=57) (actual time=102.381..102.381 rows=6518 loops=1)
                          Buckets: 1024  Batches: 1  Memory Usage: 567kB
                          ->  Hash Left Join  (cost=2973.09..3892.82 rows=6517 width=57) (actual time=67.960..98.452 rows=6518 loops=1)
                                Hash Cond: (base_adress.id_street = street.id)
                                ->  Hash Left Join  (cost=2910.41..3732.38 rows=6517 width=39) (actual time=66.520..91.118 rows=6518 loops=1)
                                      Hash Cond: (base_adress.id_city = city.id)
                                      ->  Hash Left Join  (cost=2899.66..3632.03 rows=6517 width=24) (actual time=66.272..85.924 rows=6518 loops=1)
                                            Hash Cond: (full_adress.id_base_adress = base_adress.id)
                                            ->  Seq Scan on full_adress  (cost=0.00..104.17 rows=6517 width=11) (actual time=0.016..2.228 rows=6518 loops=1)
                                            ->  Hash  (cost=1516.74..1516.74 rows=75274 width=19) (actual time=66.202..66.202 rows=75292 loops=1)
                                                  Buckets: 8192  Batches: 2  Memory Usage: 1923kB
                                                  ->  Seq Scan on base_adress  (cost=0.00..1516.74 rows=75274 width=19) (actual time=0.012..29.878 rows=75292 loops=1)
                                      ->  Hash  (cost=6.44..6.44 rows=344 width=25) (actual time=0.230..0.230 rows=344 loops=1)
                                            Buckets: 1024  Batches: 1  Memory Usage: 20kB
                                            ->  Seq Scan on city  (cost=0.00..6.44 rows=344 width=25) (actual time=0.009..0.107 rows=344 loops=1)
                                ->  Hash  (cost=36.75..36.75 rows=2075 width=28) (actual time=1.429..1.429 rows=2076 loops=1)
                                      Buckets: 1024  Batches: 1  Memory Usage: 124kB
                                      ->  Seq Scan on street  (cost=0.00..36.75 rows=2075 width=28) (actual time=0.012..0.608 rows=2076 loops=1)
              ->  Hash  (cost=606.88..606.88 rows=2431 width=5) (actual time=8.439..8.439 rows=2431 loops=1)
                    Buckets: 1024  Batches: 1  Memory Usage: 88kB
                    ->  Seq Scan on objects o  (cost=0.00..606.88 rows=2431 width=5) (actual time=0.028..7.412 rows=2431 loops=1)
                          Filter: (deleted <> 1::numeric)
                          Rows Removed by Filter: 359
              SubPlan 1
                ->  Limit  (cost=0.56..8.58 rows=1 width=6) (actual time=0.008..0.008 rows=0 loops=1162)
                      ->  Index Scan using history_events_idx_5 on history_events history_events_1  (cost=0.56..8.58 rows=1 width=6) (actual time=0.007..0.007 rows=0 loops=1162)
                            Index Cond: (id_call = call_event.id)
              SubPlan 2
                ->  Subquery Scan on rcv_time1  (cost=8.31..8.33 rows=1 width=8) (actual time=0.013..0.013 rows=0 loops=1162)
                      ->  Limit  (cost=8.31..8.32 rows=1 width=20) (actual time=0.012..0.012 rows=0 loops=1162)
                            ->  Sort  (cost=8.31..8.32 rows=1 width=20) (actual time=0.011..0.011 rows=0 loops=1162)
                                  Sort Key: call_tech.id
                                  Sort Method: quicksort  Memory: 25kB
                                  ->  Index Scan using call_tech_idx on call_tech  (cost=0.29..8.30 rows=1 width=20) (actual time=0.004..0.006 rows=1 loops=1162)
                                        Index Cond: (id_call = call_event.id)
              SubPlan 3
                ->  Aggregate  (cost=8.31..8.32 rows=1 width=8) (actual time=0.004..0.004 rows=1 loops=1162)
                      ->  Index Scan using call_tech_idx on call_tech call_tech_1  (cost=0.29..8.30 rows=1 width=8) (actual time=0.002..0.003 rows=1 loops=1162)
                            Index Cond: (id_call = call_event.id)
                            Filter: (at_place_time IS NOT NULL)
                            Rows Removed by Filter: 0
              SubPlan 4
                ->  Limit  (cost=0.56..8.58 rows=1 width=5) (actual time=0.004..0.004 rows=0 loops=1162)
                      ->  Index Scan using history_events_idx_5 on history_events history_events_2  (cost=0.56..8.58 rows=1 width=5) (actual time=0.003..0.003 rows=0 loops=1162)
                            Index Cond: (id_call = call_event.id)
              SubPlan 6
                ->  Limit  (cost=0.29..16.65 rows=1 width=6) (actual time=0.028..0.028 rows=0 loops=1162)
                      ->  Index Only Scan using call_tech_idx on call_tech call_tech_2  (cost=0.29..16.65 rows=1 width=6) (actual time=0.027..0.027 rows=0 loops=1162)
                            Index Cond: (id_call = call_event.id)
                            Heap Fetches: 299
                            SubPlan 5
                              ->  Aggregate  (cost=8.33..8.34 rows=1 width=83) (actual time=0.088..0.088 rows=1 loops=301)
                                    ->  Index Scan using call_tech_idx on call_tech ct  (cost=0.29..8.31 rows=1 width=83) (actual time=0.004..0.010 rows=4 loops=301)
                                          Index Cond: (id_call = call_tech_2.id_call)
                                          Filter: (tech_deleted = 0::numeric)
                                          Rows Removed by Filter: 0
              SubPlan 8
                ->  Index Only Scan using arm03_call_pk on arm03_call  (cost=8.87..16.89 rows=1 width=0) (actual time=0.029..0.029 rows=1 loops=1162)
                      Index Cond: (id_call = call_event.id)
                      Heap Fetches: 1109
                      InitPlan 7 (returns $12)
                        ->  Aggregate  (cost=8.44..8.45 rows=1 width=64) (actual time=0.020..0.020 rows=1 loops=1144)
                              ->  Index Scan using arm03_call_pk on arm03_call a_data  (cost=0.42..8.44 rows=1 width=64) (actual time=0.003..0.003 rows=1 loops=1144)
                                    Index Cond: (id_call = call_event.id)
              SubPlan 9
                ->  Limit  (cost=0.00..1.58 rows=1 width=5) (actual time=0.011..0.011 rows=1 loops=1162)
                      ->  Seq Scan on event_type  (cost=0.00..1.58 rows=1 width=5) (actual time=0.010..0.010 rows=1 loops=1162)
                            Filter: (id = call_event.id_event_type)
                            Rows Removed by Filter: 45
              SubPlan 11
                ->  Limit  (cost=0.29..24.51 rows=1 width=20) (actual time=0.003..0.003 rows=0 loops=1162)
                      ->  Nested Loop Semi Join  (cost=0.29..24.51 rows=1 width=20) (actual time=0.002..0.002 rows=0 loops=1162)
                            ->  Index Only Scan using call_result_value_sys_c0042574 on call_result_value  (cost=0.14..8.16 rows=1 width=40) (actual time=0.001..0.001 rows=0 loops=1162)
                                  Index Cond: (id_call = call_event.id)
                                  Heap Fetches: 0
                            ->  Index Only Scan using event_list_field_set_idx on event_list_field_set  (cost=0.14..8.16 rows=1 width=20) (never executed)
                                  Index Cond: (id_adv_field = call_result_value.id_field)
                                  Heap Fetches: 0
                            SubPlan 10
                              ->  Aggregate  (cost=8.16..8.17 rows=1 width=536) (never executed)
                                    ->  Index Scan using call_result_value_sys_c0042574 on call_result_value crv  (cost=0.14..8.16 rows=1 width=536) (never executed)
                                          Index Cond: (id_call = call_result_value.id_call)
              SubPlan 12
                ->  Limit  (cost=0.29..8.31 rows=1 width=11) (actual time=0.003..0.003 rows=0 loops=1162)
                      ->  Index Scan using ref_call_event_sound_idx on ref_call_event_sound  (cost=0.29..8.31 rows=1 width=11) (actual time=0.003..0.003 rows=0 loops=1162)
                            Index Cond: (id_call_event = call_event.id)
                            Filter: (is_out <> 1::numeric)
              SubPlan 13
                ->  Limit  (cost=0.42..8.44 rows=1 width=6) (actual time=0.005..0.005 rows=0 loops=1162)
                      ->  Index Only Scan using linked_event_sys_c0042583 on linked_event  (cost=0.42..8.44 rows=1 width=6) (actual time=0.004..0.004 rows=0 loops=1162)
                            Index Cond: (id = call_event.id)
                            Heap Fetches: 2
              SubPlan 14
                ->  Aggregate  (cost=9.69..9.70 rows=1 width=35) (actual time=0.074..0.074 rows=1 loops=1162)
                      ->  Index Scan using linked_event_call_idx on linked_event l_event  (cost=0.42..9.64 rows=19 width=35) (actual time=0.020..0.051 rows=5 loops=1162)
                            Index Cond: (id_call = call_event.id)
              SubPlan 15
                ->  Aggregate  (cost=12.65..12.66 rows=1 width=44) (actual time=0.004..0.004 rows=1 loops=1162)
                      ->  Bitmap Heap Scan on ref_call_staff  (cost=4.18..12.64 rows=4 width=44) (actual time=0.002..0.002 rows=0 loops=1162)
                            Recheck Cond: (id_call = call_event.id)
                            ->  Bitmap Index Scan on ref_call_staff_pk  (cost=0.00..4.18 rows=4 width=0) (actual time=0.001..0.001 rows=0 loops=1162)
                                  Index Cond: (id_call = call_event.id)
              SubPlan 16
                ->  Aggregate  (cost=13.22..13.23 rows=1 width=117) (actual time=0.056..0.056 rows=1 loops=1162)
                      ->  Hash Join  (cost=2.96..13.19 rows=6 width=117) (actual time=0.009..0.019 rows=2 loops=1162)
                            Hash Cond: (call_info.id_oper = user_pult.id_user)
                            ->  Index Scan using call_info_idx on call_info  (cost=0.43..10.58 rows=6 width=114) (actual time=0.008..0.015 rows=2 loops=1162)
                                  Index Cond: (id_call = call_event.id)
                            ->  Hash  (cost=1.68..1.68 rows=68 width=8) (actual time=0.060..0.060 rows=70 loops=1)
                                  Buckets: 1024  Batches: 1  Memory Usage: 3kB
                                  ->  Seq Scan on user_pult  (cost=0.00..1.68 rows=68 width=8) (actual time=0.013..0.031 rows=70 loops=1)
              SubPlan 17
                ->  Limit  (cost=75.37..75.38 rows=1 width=109) (actual time=0.384..0.384 rows=1 loops=1162)
                      ->  Aggregate  (cost=75.37..75.38 rows=1 width=109) (actual time=0.379..0.379 rows=1 loops=1162)
                            ->  Nested Loop  (cost=0.71..75.33 rows=8 width=109) (actual time=0.015..0.129 rows=16 loops=1162)
                                  ->  Index Scan using call_action_idx on call_action  (cost=0.43..12.83 rows=8 width=59) (actual time=0.010..0.050 rows=16 loops=1162)
                                        Index Cond: (id_call = call_event.id)
                                        Filter: (action_deleted = 0::numeric)
                                  ->  Index Scan using standart_phrases_sys_c0042494 on standart_phrases  (cost=0.28..7.80 rows=1 width=56) (actual time=0.003..0.004 rows=1 loops=18777)
                                        Index Cond: (id = call_action.id_action)
              SubPlan 18
                ->  Aggregate  (cost=10.25..10.26 rows=1 width=0) (actual time=0.002..0.002 rows=1 loops=1162)
                      ->  Seq Scan on glonass_event_info  (cost=0.00..10.25 rows=1 width=0) (actual time=0.000..0.000 rows=0 loops=1162)
                            Filter: (id_call = call_event.id)
  ->  Subquery Scan on "*SELECT* 2"  (cost=7.63..24.41 rows=1 width=141) (actual time=3.119..7.165 rows=166 loops=1)
        ->  Nested Loop Left Join  (cost=7.63..24.40 rows=1 width=141) (actual time=3.107..6.750 rows=166 loops=1)
              ->  Nested Loop Left Join  (cost=7.35..24.09 rows=1 width=123) (actual time=3.084..6.099 rows=166 loops=1)
                    ->  Nested Loop Left Join  (cost=7.20..23.91 rows=1 width=108) (actual time=3.071..5.592 rows=166 loops=1)
                          ->  Nested Loop Left Join  (cost=6.91..22.87 rows=1 width=101) (actual time=3.054..4.647 rows=166 loops=1)
                                ->  Nested Loop Left Join  (cost=6.62..22.47 rows=1 width=100) (actual time=3.035..4.067 rows=166 loops=1)
                                      ->  Hash Right Join  (cost=6.34..14.16 rows=1 width=95) (actual time=3.009..3.198 rows=166 loops=1)
                                            Hash Cond: (r.id = history_events.id_rank)
                                            ->  Seq Scan on rank r  (cost=0.00..6.77 rows=277 width=10) (actual time=0.004..0.037 rows=277 loops=1)
                                            ->  Hash  (cost=6.33..6.33 rows=1 width=90) (actual time=2.988..2.988 rows=166 loops=1)
                                                  Buckets: 1024  Batches: 1  Memory Usage: 20kB
                                                  ->  Index Scan using history_events_new_idx_call_i on history_events  (cost=0.56..6.33 rows=1 width=90) (actual time=0.037..2.945 rows=166 loops=1)
                                                        Index Cond: ((is_active = 1::numeric) AND (id_call IS NULL))
                                      ->  Index Scan using objects_sys_c0042470 on objects  (cost=0.28..8.30 rows=1 width=10) (actual time=0.004..0.005 rows=1 loops=166)
                                            Index Cond: (history_events.id_object = id)
                                ->  Index Scan using full_adress_sys_c0042551 on full_adress full_adress_1  (cost=0.28..0.38 rows=1 width=11) (actual time=0.003..0.003 rows=1 loops=166)
                                      Index Cond: (id = objects.id_full_adress)
                          ->  Index Scan using base_adress_sys_c0042564 on base_adress base_adress_1  (cost=0.29..1.04 rows=1 width=19) (actual time=0.005..0.005 rows=1 loops=166)
                                Index Cond: (full_adress_1.id_base_adress = id)
                    ->  Index Scan using city_sys_c0042422 on city city_1  (cost=0.15..0.17 rows=1 width=25) (actual time=0.002..0.002 rows=1 loops=166)
                          Index Cond: (id = base_adress_1.id_city)
              ->  Index Scan using street_sys_c0042497 on street street_1  (cost=0.28..0.30 rows=1 width=28) (actual time=0.002..0.003 rows=1 loops=166)
                    Index Cond: (id = base_adress_1.id_street)
Planning time: 10.951 ms
Execution time: 17096.879 ms

Per node type stats

node type	count	sum of times	% of query
Aggregate	9	408.956 ms	2.4 %
Append	1	0.233 ms	0.0 %
Bitmap Heap Scan	1	1.162 ms	0.0 %
Bitmap Index Scan	1	1.162 ms	0.0 %
Hash	7	42.296 ms	0.2 %
Hash Join	1	4.588 ms	0.0 %
Hash Left Join	5	83.411 ms	0.5 %
Hash Right Join	1	0.173 ms	0.0 %
Index Only Scan	5	21.514 ms	0.1 %
Index Scan	21	16,198.398 ms	94.8 %
Limit	9	13.944 ms	0.1 %
Merge Left Join	2	66.219 ms	0.4 %
Nested Loop	1	16.690 ms	0.1 %
Nested Loop Left Join	5	0.564 ms	0.0 %
Nested Loop Semi Join	1	1.162 ms	0.0 %
Seq Scan	10	226.650 ms	1.3 %
Sort	1	5.810 ms	0.0 %
Subquery Scan	3	2.627 ms	0.0 %

Per table stats

Table name	Scan count	Total time	% of query
scan type	count	sum of times	% of table
arm03_call	3	300.569 ms	1.8 %
Index Only Scan	1	10.818 ms	3.6 %
Index Scan	2	289.751 ms	96.4 %
arm03_patient_assistance	1	6.734 ms	0.0 %
Index Scan	1	6.734 ms	100.0 %
base_adress	2	30.708 ms	0.2 %
Index Scan	1	0.830 ms	2.7 %
Seq Scan	1	29.878 ms	97.3 %
call_action	1	58.100 ms	0.3 %
Index Scan	1	58.100 ms	100.0 %
call_event	1	15,657.506 ms	91.6 %
Index Scan	1	15,657.506 ms	100.0 %
call_info	1	17.430 ms	0.1 %
Index Scan	1	17.430 ms	100.0 %
call_result_value	2	1.162 ms	0.0 %
Index Only Scan	1	1.162 ms	100.0 %
Index Scan	1	0.000 ms	0.0 %
call_tech	4	18.354 ms	0.1 %
Index Only Scan	1	4.886 ms	26.6 %
Index Scan	3	13.468 ms	73.4 %
city	2	0.439 ms	0.0 %
Index Scan	1	0.332 ms	75.6 %
Seq Scan	1	0.107 ms	24.4 %
event_list_field_set	1	0.000 ms	0.0 %
Index Only Scan	1	0.000 ms	0.0 %
event_type	1	11.620 ms	0.1 %
Seq Scan	1	11.620 ms	100.0 %
full_adress	2	2.726 ms	0.0 %
Index Scan	1	0.498 ms	18.3 %
Seq Scan	1	2.228 ms	81.7 %
glonass_event_info	1	0.000 ms	0.0 %
Seq Scan	1	0.000 ms	0.0 %
history_events	3	14.565 ms	0.1 %
Index Scan	3	14.565 ms	100.0 %
linked_event	2	63.910 ms	0.4 %
Index Only Scan	1	4.648 ms	7.3 %
Index Scan	1	59.262 ms	92.7 %
objects	2	8.242 ms	0.0 %
Index Scan	1	0.830 ms	10.1 %
Seq Scan	1	7.412 ms	89.9 %
rank	1	0.037 ms	0.0 %
Seq Scan	1	0.037 ms	100.0 %
ref_call_event_sound	1	3.486 ms	0.0 %
Index Scan	1	3.486 ms	100.0 %
ref_call_staff	1	1.162 ms	0.0 %
Bitmap Heap Scan	1	1.162 ms	100.0 %
ref_pult_event	1	174.729 ms	1.0 %
Seq Scan	1	174.729 ms	100.0 %
standart_phrases	1	75.108 ms	0.4 %
Index Scan	1	75.108 ms	100.0 %
street	2	1.106 ms	0.0 %
Index Scan	1	0.498 ms	45.0 %
Seq Scan	1	0.608 ms	55.0 %
user_pult	1	0.031 ms	0.0 %
Seq Scan	1	0.031 ms	100.0 %

explain.depesz.com

PostgreSQL's explain analyze made readable

Result: etHW

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Per node type stats

Per table stats