#	exclusive	inclusive	rows x	rows	loops	node
1.	51.503	1,354.517	↓ 22.9	62,816	1	→ GroupAggregate (cost=202,283.52..202,407.09 rows=2,746 width=67) (actual time=1,290.839..1,354.517 rows=62,816 loops=1) Group Key: kierowca.kierowca_id, driver_events_filter.datetime_from, driver_events_filter.status_id, driver_events_filter.driver, kierowca.imie, kierowca.nazwisko, driver_events_filter.country, country.name, driver_events_filter.datetime_to
2.	89.424	1,303.014	↓ 22.9	62,816	1	→ Sort (cost=202,283.52..202,290.38 rows=2,746 width=67) (actual time=1,290.822..1,303.014 rows=62,816 loops=1) Sort Key: kierowca.kierowca_id, driver_events_filter.datetime_from, driver_events_filter.status_id, driver_events_filter.driver, kierowca.imie, kierowca.nazwisko, driver_events_filter.country, country.name, driver_events_filter.datetime_to Sort Method: external merge Disk: 4,968kB
3.	20.623	1,213.590	↓ 22.9	62,816	1	→ Nested Loop Left Join (cost=401.12..202,126.68 rows=2,746 width=67) (actual time=9.205..1,213.590 rows=62,816 loops=1)
4.	11.743	1,067.335	↓ 22.9	62,816	1	→ Nested Loop (cost=400.97..201,645.51 rows=2,746 width=56) (actual time=9.185..1,067.335 rows=62,816 loops=1)
5.	2.925	4.549	↓ 1.3	371	1	→ Hash Join (cost=231.66..510.01 rows=293 width=34) (actual time=0.533..4.549 rows=371 loops=1) Hash Cond: (kk.kierowca_id = kierowca.kierowca_id)
6.	1.146	1.146	↓ 1.0	11,481	1	→ Seq Scan on kierowca_kod kk (cost=0.00..232.49 rows=11,449 width=22) (actual time=0.004..1.146 rows=11,481 loops=1)
7.	0.092	0.478	↑ 1.0	401	1	→ Hash (cost=226.55..226.55 rows=409 width=20) (actual time=0.478..0.478 rows=401 loops=1) Buckets: 1,024 Batches: 1 Memory Usage: 21kB
8.	0.336	0.386	↑ 1.0	401	1	→ Bitmap Heap Scan on kierowca (cost=11.45..226.55 rows=409 width=20) (actual time=0.063..0.386 rows=401 loops=1) Recheck Cond: (firma1_id = 152) Heap Blocks: exact=91
9.	0.050	0.050	↑ 1.0	401	1	→ Bitmap Index Scan on kierowca_firma1_id (cost=0.00..11.35 rows=409 width=0) (actual time=0.050..0.050 rows=401 loops=1) Index Cond: (firma1_id = 152)
10.	782.439	1,051.043	↓ 11.3	169	371	→ Bitmap Heap Scan on driver_events_filter (cost=169.31..686.32 rows=15 width=36) (actual time=2.741..2.833 rows=169 loops=371) Recheck Cond: ((driver)::text = (kk.kod_identyfikatora14)::text) Filter: ((datetime_from >= '2019-11-01 00:00:00+01'::timestamp with time zone) AND (datetime_from < '2019-11-28 00:00:00+01'::timestamp with time zone) AND (status_id = ANY ('{0,1,2,3}'::integer[]))) Rows Removed by Filter: 10,688 Heap Blocks: exact=184,706
11.	268.604	268.604	↓ 1.1	10,868	371	→ Bitmap Index Scan on driver_events_filter_index01 (cost=0.00..169.31 rows=10,268 width=0) (actual time=0.724..0.724 rows=10,868 loops=371) Index Cond: ((driver)::text = (kk.kod_identyfikatora14)::text)
12.	125.632	125.632	↑ 1.0	1	62,816	→ Index Scan using country_code3_x on country (cost=0.15..0.17 rows=1 width=15) (actual time=0.002..0.002 rows=1 loops=62,816) Index Cond: ((code3)::text = (driver_events_filter.country)::text)

Planning time	:	1.755 ms
Execution time	:	1,358.055 ms

GroupAggregate  (cost=202283.52..202407.09 rows=2746 width=67) (actual time=1290.839..1354.517 rows=62816 loops=1)
  Group Key: kierowca.kierowca_id, driver_events_filter.datetime_from, driver_events_filter.status_id, driver_events_filter.driver, kierowca.imie, kierowca.nazwisko, driver_events_filter.country, country.name, driver_events_filter.datetime_to
  ->  Sort  (cost=202283.52..202290.38 rows=2746 width=67) (actual time=1290.822..1303.014 rows=62816 loops=1)
        Sort Key: kierowca.kierowca_id, driver_events_filter.datetime_from, driver_events_filter.status_id, driver_events_filter.driver, kierowca.imie, kierowca.nazwisko, driver_events_filter.country, country.name, driver_events_filter.datetime_to
        Sort Method: external merge  Disk: 4968kB
        ->  Nested Loop Left Join  (cost=401.12..202126.68 rows=2746 width=67) (actual time=9.205..1213.590 rows=62816 loops=1)
              ->  Nested Loop  (cost=400.97..201645.51 rows=2746 width=56) (actual time=9.185..1067.335 rows=62816 loops=1)
                    ->  Hash Join  (cost=231.66..510.01 rows=293 width=34) (actual time=0.533..4.549 rows=371 loops=1)
                          Hash Cond: (kk.kierowca_id = kierowca.kierowca_id)
                          ->  Seq Scan on kierowca_kod kk  (cost=0.00..232.49 rows=11449 width=22) (actual time=0.004..1.146 rows=11481 loops=1)
                          ->  Hash  (cost=226.55..226.55 rows=409 width=20) (actual time=0.478..0.478 rows=401 loops=1)
                                Buckets: 1024  Batches: 1  Memory Usage: 21kB
                                ->  Bitmap Heap Scan on kierowca  (cost=11.45..226.55 rows=409 width=20) (actual time=0.063..0.386 rows=401 loops=1)
                                      Recheck Cond: (firma1_id = 152)
                                      Heap Blocks: exact=91
                                      ->  Bitmap Index Scan on kierowca_firma1_id  (cost=0.00..11.35 rows=409 width=0) (actual time=0.050..0.050 rows=401 loops=1)
                                            Index Cond: (firma1_id = 152)
                    ->  Bitmap Heap Scan on driver_events_filter  (cost=169.31..686.32 rows=15 width=36) (actual time=2.741..2.833 rows=169 loops=371)
                          Recheck Cond: ((driver)::text = (kk.kod_identyfikatora14)::text)
                          Filter: ((datetime_from >= '2019-11-01 00:00:00+01'::timestamp with time zone) AND (datetime_from < '2019-11-28 00:00:00+01'::timestamp with time zone) AND (status_id = ANY ('{0,1,2,3}'::integer[])))
                          Rows Removed by Filter: 10688
                          Heap Blocks: exact=184706
                          ->  Bitmap Index Scan on driver_events_filter_index01  (cost=0.00..169.31 rows=10268 width=0) (actual time=0.724..0.724 rows=10868 loops=371)
                                Index Cond: ((driver)::text = (kk.kod_identyfikatora14)::text)
              ->  Index Scan using country_code3_x on country  (cost=0.15..0.17 rows=1 width=15) (actual time=0.002..0.002 rows=1 loops=62816)
                    Index Cond: ((code3)::text = (driver_events_filter.country)::text)
Planning time: 1.755 ms
Execution time: 1358.055 ms

Per node type stats

node type	count	sum of times	% of query
Bitmap Heap Scan	2	782.775 ms	57.8 %
Bitmap Index Scan	2	268.654 ms	19.8 %
GroupAggregate	1	51.503 ms	3.8 %
Hash	1	0.092 ms	0.0 %
Hash Join	1	2.925 ms	0.2 %
Index Scan	1	125.632 ms	9.3 %
Nested Loop	1	11.743 ms	0.9 %
Nested Loop Left Join	1	20.623 ms	1.5 %
Seq Scan	1	1.146 ms	0.1 %
Sort	1	89.424 ms	6.6 %

Per table stats

Table name	Scan count	Total time	% of query
scan type	count	sum of times	% of table
country	1	125.632 ms	9.3 %
Index Scan	1	125.632 ms	100.0 %
driver_events_filter	1	782.439 ms	57.8 %
Bitmap Heap Scan	1	782.439 ms	100.0 %
kierowca	1	0.336 ms	0.0 %
Bitmap Heap Scan	1	0.336 ms	100.0 %
kierowca_kod	1	1.146 ms	0.1 %
Seq Scan	1	1.146 ms	100.0 %

explain.depesz.com

PostgreSQL's explain analyze made readable

Result: jpND

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Per node type stats

Per table stats