#	exclusive	inclusive	rows x	rows	loops	node
1.	0.199	462.046	↑ 1.0	600	1	→ Limit (cost=31,670.06..38,562.37 rows=600 width=164) (actual time=380.666..462.046 rows=600 loops=1)
2.	70.419	461.847	↑ 33,868.6	600	1	→ Hash Left Join (cost=31,670.06..233,464,892.84 rows=20,321,189 width=164) (actual time=380.664..461.847 rows=600 loops=1) Hash Cond: (b.numero_prontuario = (c.numero_prontuario)::numeric)
3.	54.108	79.795	↑ 1,144.6	2,340	1	→ Hash Left Join (cost=24.17..147,182.84 rows=2,678,448 width=75) (actual time=67.624..79.795 rows=2,340 loops=1) Hash Cond: (translate(translate((b.nome_setor)::text, ';./\¨-_*?,()[]{}@#$%"&'::text, ' '::text), 'áàãââÁÀÃÂéêÉÊíÍóõôÓÔÕúüÚÜçÇ'::text, 'aaaaaAAAAeeEEiIoooOOOuuUUcC'::text) = (sa.nome)::text)
4.	22.324	25.627	↑ 1,144.6	2,340	1	→ Hash Left Join (cost=11.92..117,038.05 rows=2,678,448 width=71) (actual time=22.671..25.627 rows=2,340 loops=1) Hash Cond: ((b.tipo_atendimento)::text = (ta.descricao)::text)
5.	1.222	2.449	↑ 1,144.6	2,340	1	→ Hash Left Join (cost=10.90..106,580.78 rows=2,678,448 width=67) (actual time=0.064..2.449 rows=2,340 loops=1) Hash Cond: (b."ISN" = ba.isn)
6.	1.221	1.221	↑ 1,144.6	2,340	1	→ Seq Scan on tb_boletim_atendimento b (cost=0.00..72,754.48 rows=2,678,448 width=63) (actual time=0.019..1.221 rows=2,340 loops=1)
7.	0.000	0.006	↓ 0.0	0	1	→ Hash (cost=10.40..10.40 rows=40 width=8) (actual time=0.006..0.006 rows=0 loops=1) Buckets: 1,024 Batches: 1 Memory Usage: 8kB
8.	0.006	0.006	↓ 0.0	0	1	→ Seq Scan on tb_boletim_atendimento ba (cost=0.00..10.40 rows=40 width=8) (actual time=0.006..0.006 rows=0 loops=1)
9.	0.829	0.854	↑ 1.0	1	1	→ Hash (cost=1.01..1.01 rows=1 width=222) (actual time=0.854..0.854 rows=1 loops=1) Buckets: 1,024 Batches: 1 Memory Usage: 9kB
10.	0.025	0.025	↑ 1.0	1	1	→ Seq Scan on tb_tipo_atendimento ta (cost=0.00..1.01 rows=1 width=222) (actual time=0.023..0.025 rows=1 loops=1)
11.	0.008	0.060	↑ 100.0	1	1	→ Hash (cost=11.00..11.00 rows=100 width=222) (actual time=0.060..0.060 rows=1 loops=1) Buckets: 1,024 Batches: 1 Memory Usage: 9kB
12.	0.052	0.052	↑ 100.0	1	1	→ Seq Scan on tb_setor_atendimento sa (cost=0.00..11.00 rows=100 width=222) (actual time=0.050..0.052 rows=1 loops=1)
13.	174.924	311.633	↑ 1.0	340,084	1	→ Hash (cost=24,404.84..24,404.84 rows=340,084 width=42) (actual time=311.633..311.633 rows=340,084 loops=1) Buckets: 65,536 Batches: 8 Memory Usage: 3,727kB
14.	136.709	136.709	↑ 1.0	340,084	1	→ Seq Scan on tb_migra_controle c (cost=0.00..24,404.84 rows=340,084 width=42) (actual time=0.012..136.709 rows=340,084 loops=1)

Planning time	:	18.378 ms
Execution time	:	477.262 ms

Limit  (cost=31670.06..38562.37 rows=600 width=164) (actual time=380.666..462.046 rows=600 loops=1)
  ->  Hash Left Join  (cost=31670.06..233464892.84 rows=20321189 width=164) (actual time=380.664..461.847 rows=600 loops=1)
        Hash Cond: (b.numero_prontuario = (c.numero_prontuario)::numeric)
        ->  Hash Left Join  (cost=24.17..147182.84 rows=2678448 width=75) (actual time=67.624..79.795 rows=2340 loops=1)
              Hash Cond: (translate(translate((b.nome_setor)::text, ';./\¨-_*?,()[]{}@#$%"&'::text, '                      '::text), 'áàãââÁÀÃÂéêÉÊíÍóõôÓÔÕúüÚÜçÇ'::text, 'aaaaaAAAAeeEEiIoooOOOuuUUcC'::text) = (sa.nome)::text)
              ->  Hash Left Join  (cost=11.92..117038.05 rows=2678448 width=71) (actual time=22.671..25.627 rows=2340 loops=1)
                    Hash Cond: ((b.tipo_atendimento)::text = (ta.descricao)::text)
                    ->  Hash Left Join  (cost=10.90..106580.78 rows=2678448 width=67) (actual time=0.064..2.449 rows=2340 loops=1)
                          Hash Cond: (b."ISN" = ba.isn)
                          ->  Seq Scan on tb_boletim_atendimento b  (cost=0.00..72754.48 rows=2678448 width=63) (actual time=0.019..1.221 rows=2340 loops=1)
                          ->  Hash  (cost=10.40..10.40 rows=40 width=8) (actual time=0.006..0.006 rows=0 loops=1)
                                Buckets: 1024  Batches: 1  Memory Usage: 8kB
                                ->  Seq Scan on tb_boletim_atendimento ba  (cost=0.00..10.40 rows=40 width=8) (actual time=0.006..0.006 rows=0 loops=1)
                    ->  Hash  (cost=1.01..1.01 rows=1 width=222) (actual time=0.854..0.854 rows=1 loops=1)
                          Buckets: 1024  Batches: 1  Memory Usage: 9kB
                          ->  Seq Scan on tb_tipo_atendimento ta  (cost=0.00..1.01 rows=1 width=222) (actual time=0.023..0.025 rows=1 loops=1)
              ->  Hash  (cost=11.00..11.00 rows=100 width=222) (actual time=0.060..0.060 rows=1 loops=1)
                    Buckets: 1024  Batches: 1  Memory Usage: 9kB
                    ->  Seq Scan on tb_setor_atendimento sa  (cost=0.00..11.00 rows=100 width=222) (actual time=0.050..0.052 rows=1 loops=1)
        ->  Hash  (cost=24404.84..24404.84 rows=340084 width=42) (actual time=311.633..311.633 rows=340084 loops=1)
              Buckets: 65536  Batches: 8  Memory Usage: 3727kB
              ->  Seq Scan on tb_migra_controle c  (cost=0.00..24404.84 rows=340084 width=42) (actual time=0.012..136.709 rows=340084 loops=1)
Planning time: 18.378 ms
Execution time: 477.262 ms

Per node type stats

node type	count	sum of times	% of query
Hash	4	175.761 ms	38.0 %
Hash Left Join	4	148.073 ms	32.0 %
Limit	1	0.199 ms	0.0 %
Seq Scan	5	138.013 ms	29.9 %

Per table stats

Table name	Scan count	Total time	% of query
scan type	count	sum of times	% of table
tb_boletim_atendimento	2	1.227 ms	0.3 %
Seq Scan	2	1.227 ms	100.0 %
tb_migra_controle	1	136.709 ms	29.6 %
Seq Scan	1	136.709 ms	100.0 %
tb_setor_atendimento	1	0.052 ms	0.0 %
Seq Scan	1	0.052 ms	100.0 %
tb_tipo_atendimento	1	0.025 ms	0.0 %
Seq Scan	1	0.025 ms	100.0 %

explain.depesz.com

PostgreSQL's explain analyze made readable

Result: voOe : Optimization for: Optimization for: original; plan #R81y; plan #HRzk

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Visible columns:

Optimization path:

Per node type stats

Per table stats