#	exclusive	inclusive	rows x	rows	loops	node
1.	90526.660	91009.728	↓ 9.0	30082	1	→ Bitmap Heap Scan on adresses (cost=12858.60..356119.75 rows=3341 width=72) (actual time=641.584..91009.728 rows=30082 loops=1) Recheck Cond: ((pays)::text = 'France'::text) Filter: (upper((ville)::text) = 'TOULOUSE'::text)
2.	483.068	483.068	↓ 1.0	685741	1	→ Bitmap Index Scan on adr_pays (cost=0.00..12857.76 rows=668237 width=0) (actual time=483.068..483.068 rows=685741 loops=1) Index Cond: ((pays)::text = 'France'::text)

"Bitmap Heap Scan on adresses  (cost=12858.60..356119.75 rows=3341 width=72) (actual time=641.584..91009.728 rows=30082 loops=1)"
"  Recheck Cond: ((pays)::text = 'France'::text)"
"  Filter: (upper((ville)::text) = 'TOULOUSE'::text)"
"  ->  Bitmap Index Scan on adr_pays  (cost=0.00..12857.76 rows=668237 width=0) (actual time=483.068..483.068 rows=685741 loops=1)"
"        Index Cond: ((pays)::text = 'France'::text)"
"Total runtime: 91022.655 ms"

Per node type stats

node type	count	sum of times	% of query
Bitmap Heap Scan	1	90526.660 ms	99.5 %
Bitmap Index Scan	1	483.068 ms	0.5 %

Per table stats

Table name	Scan count	Total time	% of query
scan type	count	sum of times	% of table
adresses	1	90526.660 ms	99.5 %
Bitmap Heap Scan	1	90526.660 ms	100.0 %

explain.depesz.com

A tool for finding a real cause for slow queries.

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Per node type stats

Per table stats