#	exclusive	inclusive	rows x	rows	loops	node
1.	0.009	0.065	↑ 53.5	2	1	→ HashAggregate (cost=88.41..89.48 rows=107 width=8) (actual time=0.064..0.065 rows=2 loops=1)
2.	0.007	0.056	↑ 35.7	3	1	→ Nested Loop (cost=15.01..87.87 rows=107 width=8) (actual time=0.039..0.056 rows=3 loops=1)
3.	0.012	0.037	↑ 35.7	3	1	→ Hash Join (cost=15.01..55.50 rows=107 width=8) (actual time=0.033..0.037 rows=3 loops=1) Hash Cond: (badgegroups_to_topiccategories.category_id = user_topiccategories_counters.category_id)
4.	0.008	0.008	↑ 713.3	3	1	→ Seq Scan on badgegroups_to_topiccategories (cost=0.00..31.40 rows=2140 width=8) (actual time=0.006..0.008 rows=3 loops=1)
5.	0.003	0.017	↑ 3.3	3	1	→ Hash (cost=14.88..14.88 rows=10 width=8) (actual time=0.017..0.017 rows=3 loops=1) Buckets: 1024 Batches: 1 Memory Usage: 1kB
6.	0.006	0.014	↑ 3.3	3	1	→ Bitmap Heap Scan on user_topiccategories_counters (cost=4.33..14.88 rows=10 width=8) (actual time=0.012..0.014 rows=3 loops=1) Recheck Cond: (user_id = 500000)
7.	0.008	0.008	↑ 3.3	3	1	→ Bitmap Index Scan on counters_pkey (cost=0.00..4.33 rows=10 width=0) (actual time=0.008..0.008 rows=3 loops=1) Index Cond: (user_id = 500000)
8.	0.012	0.012	↑ 1.0	1	3	→ Index Scan using badgegroups_pkey on badgegroups (cost=0.00..0.29 rows=1 width=4) (actual time=0.003..0.004 rows=1 loops=3) Index Cond: (badgegroup_id = badgegroups_to_topiccategories.badgegroup_id)

"HashAggregate  (cost=88.41..89.48 rows=107 width=8) (actual time=0.064..0.065 rows=2 loops=1)"
"  ->  Nested Loop  (cost=15.01..87.87 rows=107 width=8) (actual time=0.039..0.056 rows=3 loops=1)"
"        ->  Hash Join  (cost=15.01..55.50 rows=107 width=8) (actual time=0.033..0.037 rows=3 loops=1)"
"              Hash Cond: (badgegroups_to_topiccategories.category_id = user_topiccategories_counters.category_id)"
"              ->  Seq Scan on badgegroups_to_topiccategories  (cost=0.00..31.40 rows=2140 width=8) (actual time=0.006..0.008 rows=3 loops=1)"
"              ->  Hash  (cost=14.88..14.88 rows=10 width=8) (actual time=0.017..0.017 rows=3 loops=1)"
"                    Buckets: 1024  Batches: 1  Memory Usage: 1kB"
"                    ->  Bitmap Heap Scan on user_topiccategories_counters  (cost=4.33..14.88 rows=10 width=8) (actual time=0.012..0.014 rows=3 loops=1)"
"                          Recheck Cond: (user_id = 500000)"
"                          ->  Bitmap Index Scan on counters_pkey  (cost=0.00..4.33 rows=10 width=0) (actual time=0.008..0.008 rows=3 loops=1)"
"                                Index Cond: (user_id = 500000)"
"        ->  Index Scan using badgegroups_pkey on badgegroups  (cost=0.00..0.29 rows=1 width=4) (actual time=0.003..0.004 rows=1 loops=3)"
"              Index Cond: (badgegroup_id = badgegroups_to_topiccategories.badgegroup_id)"
"Total runtime: 0.135 ms"

Per node type stats

node type	count	sum of times	% of query
Bitmap Heap Scan	1	0.006 ms	9.2 %
Bitmap Index Scan	1	0.008 ms	12.3 %
Hash	1	0.003 ms	4.6 %
Hash Join	1	0.012 ms	18.5 %
HashAggregate	1	0.009 ms	13.8 %
Index Scan	1	0.012 ms	18.5 %
Nested Loop	1	0.007 ms	10.8 %
Seq Scan	1	0.008 ms	12.3 %

Per table stats

Table name	Scan count	Total time	% of query
scan type	count	sum of times	% of table
badgegroups	1	0.012 ms	18.5 %
Index Scan	1	0.012 ms	100.0 %
badgegroups_to_topiccategories	1	0.008 ms	12.3 %
Seq Scan	1	0.008 ms	100.0 %
user_topiccategories_counters	1	0.006 ms	9.2 %
Bitmap Heap Scan	1	0.006 ms	100.0 %

explain.depesz.com

A tool for finding a real cause for slow queries.

Result: ni9r

Colorize:

Columns visibility:

Per node type stats

Per table stats