#	exclusive	inclusive	rows x	rows	loops	node
1.	0.611	0.611	↑ 1.0	4	1	→ Seq Scan on phone (cost=0.00..72.43 rows=4 width=63) (actual time=0.389..0.611 rows=4 loops=1) Filter: (client = ANY ('{e33c25ca-34dc-4a82-abc0-e180e8b97b93,66eeef00-297e-4a02-bc30-ee7c65f73118,4ed9987e-33be-4f80-876c-34914034f54d}'::uuid[])) Rows Removed by Filter: 2283

Planning time	:	0.196 ms

"Seq Scan on phone  (cost=0.00..72.43 rows=4 width=63) (actual time=0.389..0.611 rows=4 loops=1)"
"  Filter: (client = ANY ('{e33c25ca-34dc-4a82-abc0-e180e8b97b93,66eeef00-297e-4a02-bc30-ee7c65f73118,4ed9987e-33be-4f80-876c-34914034f54d}'::uuid[]))"
"  Rows Removed by Filter: 2283"
"Planning time: 0.196 ms"
"Execution time: 0.635 ms"

Per node type stats

node type	count	sum of times	% of query
Seq Scan	1	0.611 ms	100.0 %

Per table stats

Table name	Scan count	Total time	% of query
scan type	count	sum of times	% of table
phone	1	0.611 ms	100.0 %
Seq Scan	1	0.611 ms	100.0 %

explain.depesz.com

PostgreSQL's explain analyze made readable

Result: Ulj

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Per node type stats

Per table stats