I have a pretty well tuned setup, with appropriate indexes and 16GB of
available RAM. Should this be taking this long? I forced it to not use
a sequential scan and that only knocked a second off the plan.
QUERY
PLAN
------------------------------------------------------------------------------------------------------------------------------------------
Hash Right Join (cost=105882.35..105882.47 rows=3 width=118) (actual
time=3931.567..3931.583 rows=4 loops=1)
Hash Cond: (songs_downloaded.advertisement_id = a.id)
-> HashAggregate (cost=105881.21..105881.26 rows=4 width=13)
(actual time=3931.484..3931.489 rows=3 loops=1)
-> Seq Scan on songs_downloaded (cost=0.00..95455.96
rows=1042525 width=13) (actual time=0.071..1833.680 rows=1034752
loops=1)
Filter: (advertiser_id = 6553406)
-> Hash (cost=1.10..1.10 rows=3 width=46) (actual
time=0.050..0.050 rows=4 loops=1)
Buckets: 1024 Batches: 1 Memory Usage: 1kB
-> Seq Scan on advertisements a (cost=0.00..1.10 rows=3
width=46) (actual time=0.037..0.041 rows=4 loops=1)
Filter: (advertiser_id = 6553406)
Total runtime: 3931.808 ms
(10 rows)
SELECT a.id, sd.price, COALESCE(sd.downloads,0) AS downloads,
COALESCE(sd.download_revenue,0) AS download_revenue
FROM advertisements a
LEFT JOIN (SELECT advertisement_id, AVG(price) AS price, SUM(price) AS
download_revenue, COUNT(1) AS downloads FROM songs_downloaded WHERE
advertiser_id = 6553406 GROUP BY advertisement_id) AS sd ON a.id =
sd.advertisement_id
WHERE advertiser_id = 6553406
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