#	exclusive	inclusive	rows x	rows	loops	node
1.	0.004	6,196.010	↑ 1.0	24	1	→ Limit (cost=92,481.87..92,481.93 rows=24 width=227) (actual time=6,196.004..6,196.010 rows=24 loops=1)
2.	69.396	6,196.006	↑ 4,949.8	24	1	→ Sort (cost=92,481.87..92,778.86 rows=118,795 width=227) (actual time=6,196.003..6,196.006 rows=24 loops=1) Sort Key: cc.start_action_date Sort Method: top-N heapsort Memory: 33kB
3.	15.454	6,126.610	↑ 1.5	77,941	1	→ Subquery Scan on cc (cost=85,897.68..89,164.54 rows=118,795 width=227) (actual time=6,001.042..6,126.610 rows=77,941 loops=1)
4.	87.397	6,111.156	↑ 1.5	77,941	1	→ Group (cost=85,897.68..87,976.59 rows=118,795 width=235) (actual time=6,001.041..6,111.156 rows=77,941 loops=1) Group Key: aa.id, aa_1.actiontime, aa_1.requestedpath, salestransactionpayment.type, aa_1.action, aa_1.comment
5.	1,348.889	6,023.759	↑ 1.0	118,205	1	→ Sort (cost=85,897.68..86,194.67 rows=118,795 width=235) (actual time=6,001.036..6,023.759 rows=118,205 loops=1) Sort Key: aa.id, aa_1.actiontime, aa_1.requestedpath, salestransactionpayment.type, aa_1.action, aa_1.comment Sort Method: quicksort Memory: 43,279kB
6.	291.819	4,674.870	↑ 1.0	118,205	1	→ Hash Right Join (cost=66,669.43..75,884.38 rows=118,795 width=235) (actual time=4,351.192..4,674.870 rows=118,205 loops=1) Hash Cond: (salestransactionpayment.salestransaction_id = aa.id)
7.	32.635	32.635	↑ 1.0	226,779	1	→ Seq Scan on salestransactionpayment (cost=0.00..4,908.79 rows=226,779 width=49) (actual time=0.019..32.635 rows=226,779 loops=1)
8.	112.763	4,350.416	↓ 1.0	76,149	1	→ Hash (cost=65,717.73..65,717.73 rows=76,136 width=228) (actual time=4,350.416..4,350.416 rows=76,149 loops=1) Buckets: 8,192 Batches: 1 Memory Usage: 19,947kB
9.	252.972	4,237.653	↓ 1.0	76,149	1	→ Hash Right Join (cost=63,956.26..65,717.73 rows=76,136 width=228) (actual time=1,262.312..4,237.653 rows=76,149 loops=1) Hash Cond: (aa_1.relatedactionid = aa.id)
10.	153.998	3,910.097	↓ 29.9	144,735	1	→ Nested Loop (cost=57,777.41..59,446.91 rows=4,844 width=109) (actual time=1,187.678..3,910.097 rows=144,735 loops=1)
11.	753.645	1,295.621	↓ 723.7	144,734	1	→ HashAggregate (cost=57,777.41..57,779.41 rows=200 width=49) (actual time=1,187.590..1,295.621 rows=144,734 loops=1) Group Key: videoexporthistory_v2.relatedactionid
12.	90.738	541.976	↑ 1.0	967,975	1	→ Append (cost=0.00..52,933.27 rows=968,828 width=49) (actual time=0.008..541.976 rows=967,975 loops=1)
13.	0.001	0.001	↓ 0.0	0	1	→ Seq Scan on videoexporthistory_v2 (cost=0.00..0.00 rows=1 width=40) (actual time=0.001..0.001 rows=0 loops=1)
14.	451.237	451.237	↑ 1.0	967,975	1	→ Seq Scan on videoexporthistory_v2_0 (cost=0.00..52,933.27 rows=968,827 width=49) (actual time=0.006..451.237 rows=967,975 loops=1)
15.	1,592.074	2,460.478	↑ 2.0	1	144,734	→ Append (cost=0.00..8.31 rows=2 width=108) (actual time=0.017..0.017 rows=1 loops=144,734)
16.	0.000	0.000	↓ 0.0	0	144,734	→ Seq Scan on videoexporthistory_v2 aa_1 (cost=0.00..0.00 rows=1 width=108) (actual time=0.000..0.000 rows=0 loops=144,734) Filter: ((videoexporthistory_v2.relatedactionid = relatedactionid) AND ((max(videoexporthistory_v2.actiontime)) = actiontime))
17.	868.404	868.404	↑ 1.0	1	144,734	→ Index Scan using videoexporthistory_v2_0_actiontime_ix on videoexporthistory_v2_0 aa_2 (cost=0.42..8.31 rows=1 width=109) (actual time=0.006..0.006 rows=1 loops=144,734) Index Cond: (actiontime = (max(videoexporthistory_v2.actiontime))) Filter: (videoexporthistory_v2.relatedactionid = relatedactionid) Rows Removed by Filter: 0
18.	31.432	74.584	↓ 1.0	76,149	1	→ Hash (cost=5,227.15..5,227.15 rows=76,136 width=160) (actual time=74.584..74.584 rows=76,149 loops=1) Buckets: 8,192 Batches: 1 Memory Usage: 12,638kB
19.	43.152	43.152	↓ 1.0	76,149	1	→ Seq Scan on salestransaction aa (cost=0.00..5,227.15 rows=76,136 width=160) (actual time=0.007..43.152 rows=76,149 loops=1) Filter: ((start_action_date >= '2019-08-31 21:00:00'::timestamp without time zone) AND (start_action_date <= '2019-11-30 20:59:59'::timestamp without time zone)) Rows Removed by Filter: 69,194

Planning time	:	1.439 ms
Execution time	:	6,216.837 ms

Limit  (cost=92481.87..92481.93 rows=24 width=227) (actual time=6196.004..6196.010 rows=24 loops=1)
  ->  Sort  (cost=92481.87..92778.86 rows=118795 width=227) (actual time=6196.003..6196.006 rows=24 loops=1)
        Sort Key: cc.start_action_date
        Sort Method: top-N heapsort  Memory: 33kB
        ->  Subquery Scan on cc  (cost=85897.68..89164.54 rows=118795 width=227) (actual time=6001.042..6126.610 rows=77941 loops=1)
              ->  Group  (cost=85897.68..87976.59 rows=118795 width=235) (actual time=6001.041..6111.156 rows=77941 loops=1)
                    Group Key: aa.id, aa_1.actiontime, aa_1.requestedpath, salestransactionpayment.type, aa_1.action, aa_1.comment
                    ->  Sort  (cost=85897.68..86194.67 rows=118795 width=235) (actual time=6001.036..6023.759 rows=118205 loops=1)
                          Sort Key: aa.id, aa_1.actiontime, aa_1.requestedpath, salestransactionpayment.type, aa_1.action, aa_1.comment
                          Sort Method: quicksort  Memory: 43279kB
                          ->  Hash Right Join  (cost=66669.43..75884.38 rows=118795 width=235) (actual time=4351.192..4674.870 rows=118205 loops=1)
                                Hash Cond: (salestransactionpayment.salestransaction_id = aa.id)
                                ->  Seq Scan on salestransactionpayment  (cost=0.00..4908.79 rows=226779 width=49) (actual time=0.019..32.635 rows=226779 loops=1)
                                ->  Hash  (cost=65717.73..65717.73 rows=76136 width=228) (actual time=4350.416..4350.416 rows=76149 loops=1)
                                      Buckets: 8192  Batches: 1  Memory Usage: 19947kB
                                      ->  Hash Right Join  (cost=63956.26..65717.73 rows=76136 width=228) (actual time=1262.312..4237.653 rows=76149 loops=1)
                                            Hash Cond: (aa_1.relatedactionid = aa.id)
                                            ->  Nested Loop  (cost=57777.41..59446.91 rows=4844 width=109) (actual time=1187.678..3910.097 rows=144735 loops=1)
                                                  ->  HashAggregate  (cost=57777.41..57779.41 rows=200 width=49) (actual time=1187.590..1295.621 rows=144734 loops=1)
                                                        Group Key: videoexporthistory_v2.relatedactionid
                                                        ->  Append  (cost=0.00..52933.27 rows=968828 width=49) (actual time=0.008..541.976 rows=967975 loops=1)
                                                              ->  Seq Scan on videoexporthistory_v2  (cost=0.00..0.00 rows=1 width=40) (actual time=0.001..0.001 rows=0 loops=1)
                                                              ->  Seq Scan on videoexporthistory_v2_0  (cost=0.00..52933.27 rows=968827 width=49) (actual time=0.006..451.237 rows=967975 loops=1)
                                                  ->  Append  (cost=0.00..8.31 rows=2 width=108) (actual time=0.017..0.017 rows=1 loops=144734)
                                                        ->  Seq Scan on videoexporthistory_v2 aa_1  (cost=0.00..0.00 rows=1 width=108) (actual time=0.000..0.000 rows=0 loops=144734)
                                                              Filter: ((videoexporthistory_v2.relatedactionid = relatedactionid) AND ((max(videoexporthistory_v2.actiontime)) = actiontime))
                                                        ->  Index Scan using videoexporthistory_v2_0_actiontime_ix on videoexporthistory_v2_0 aa_2  (cost=0.42..8.31 rows=1 width=109) (actual time=0.006..0.006 rows=1 loops=144734)
                                                              Index Cond: (actiontime = (max(videoexporthistory_v2.actiontime)))
                                                              Filter: (videoexporthistory_v2.relatedactionid = relatedactionid)
                                                              Rows Removed by Filter: 0
                                            ->  Hash  (cost=5227.15..5227.15 rows=76136 width=160) (actual time=74.584..74.584 rows=76149 loops=1)
                                                  Buckets: 8192  Batches: 1  Memory Usage: 12638kB
                                                  ->  Seq Scan on salestransaction aa  (cost=0.00..5227.15 rows=76136 width=160) (actual time=0.007..43.152 rows=76149 loops=1)
                                                        Filter: ((start_action_date >= '2019-08-31 21:00:00'::timestamp without time zone) AND (start_action_date <= '2019-11-30 20:59:59'::timestamp without time zone))
                                                        Rows Removed by Filter: 69194
Planning time: 1.439 ms
Execution time: 6216.837 ms

Per node type stats

node type	count	sum of times	% of query
Append	2	1,682.812 ms	27.2 %
Group	1	87.397 ms	1.4 %
Hash	2	144.195 ms	2.3 %
Hash Right Join	2	544.791 ms	8.8 %
HashAggregate	1	753.645 ms	12.2 %
Index Scan	1	868.404 ms	14.0 %
Limit	1	0.004 ms	0.0 %
Nested Loop	1	153.998 ms	2.5 %
Seq Scan	5	527.025 ms	8.5 %
Sort	2	1,418.285 ms	22.9 %
Subquery Scan	1	15.454 ms	0.2 %

Per table stats

Table name	Scan count	Total time	% of query
scan type	count	sum of times	% of table
salestransaction	1	43.152 ms	0.7 %
Seq Scan	1	43.152 ms	100.0 %
salestransactionpayment	1	32.635 ms	0.5 %
Seq Scan	1	32.635 ms	100.0 %
videoexporthistory_v2	2	0.001 ms	0.0 %
Seq Scan	2	0.001 ms	100.0 %
videoexporthistory_v2_0	2	1,319.641 ms	21.3 %
Index Scan	1	868.404 ms	65.8 %
Seq Scan	1	451.237 ms	34.2 %

explain.depesz.com

PostgreSQL's explain analyze made readable

Result: ySmD

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Per node type stats

Per table stats