-> Hash Join (cost=644250.54..10734700.30 rows=22333224 width=223) (actual time=7864.023..44546.392 rows=22325462 loops=1)
Hash Cond: (file_1.id = granule_file_1.file_id)
Buffers: shared hit=780882 read=8345236
-> Seq Scan on file file_1 (cost=0.00..9205050.88 rows=22068888 width=207) (actual time=402.706..25222.525 rows=22057988 loops=1)
Buffers: shared hit=639126 read=8345236
-> Hash (cost=365085.24..365085.24 rows=22333224 width=20) (actual time=7288.228..7288.235 rows=22325462 loops=1)
Buckets: 33554432 Batches: 1 Memory Usage: 1391822kB
Buffers: shared hit=141753
-> Seq Scan on granule_file granule_file_1 (cost=0.00..365085.24 rows=22333224 width=20) (actual time=0.030..2151.380 rows=22325462 loops=1)
Buffers: shared hit=141753
This part above is the most expensive so far, and taking a look at your `granule_file` table on the first message, it has no indexes nor constraints, which certainly looks like a mistake. I'd start optimizing this, you could add an index on it, but seems that you need a primary key on both columns of this (junction?) table:
ALTER TABLE granule_file ADD PRIMARY KEY (granule_uuid, file_id);
ALTER TABLE granule_file ADD PRIMARY KEY (granule_uuid, file_id);
There are certainly more things to optimize on this query, but I prefer doing one thing at a time. Could you try with the PK and send the EXPLAIN ANALYZE of the query again after that?
Best regards,
Matheus de Oliveira
