Re: Need help optimizing this query

From: "Pat Maddox" <pergesu(at)gmail(dot)com>
To: pgsql-general(at)postgresql(dot)org
Subject: Re: Need help optimizing this query
Date: 2007-07-18 20:28:59
Message-ID: 810a540e0707181328m46ce0497mef43b064e8b5e1f4@mail.gmail.com
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On 7/18/07, Pat Maddox <pergesu(at)gmail(dot)com> wrote:
> I've got a query that's taking forever (as will be obvious when you
> see it and the explain output). I can't figure out what indexes to
> add to make this run faster. I'd appreciate any help.
>
> Pat
>
>
>
> SELECT
> SUM(CASE WHEN (hit IS TRUE AND logged_in IS TRUE) THEN 1 ELSE 0 END)
> AS count_hits_console,
> SUM(CASE WHEN (hit IS TRUE AND logged_in IS FALSE) THEN 1 ELSE 0 END)
> AS count_hits_remote,
> SUM(CASE WHEN (played IS TRUE AND logged_in IS TRUE) THEN 1 ELSE 0
> END) AS count_played_console,
> SUM(CASE WHEN (played IS TRUE AND logged_in IS FALSE) THEN 1 ELSE 0
> END) AS count_played_remote,
> SUM(CASE WHEN (downloaded IS TRUE AND logged_in IS TRUE) THEN 1 ELSE
> 0 END) AS count_downloaded_console,
> SUM(CASE WHEN (downloaded IS TRUE AND logged_in IS FALSE) THEN 1 ELSE
> 0 END) AS count_downloaded_remote,
> SUM(CASE WHEN ((played IS TRUE OR downloaded IS TRUE) AND logged_in
> IS TRUE) THEN assets.size ELSE 0 END) as download_size_console,
> SUM(CASE WHEN ((played IS TRUE OR downloaded IS TRUE) AND logged_in
> IS FALSE) THEN assets.size ELSE 0 END) as download_size_remote,
> videos.id, videos.title, videos.guid FROM video_views, assets, videos
> WHERE videos.company_id=1 AND video_views.video_id=videos.id AND
> video_views.asset_id=assets.id GROUP BY videos.id, videos.title,
> videos.guid ORDER BY count_hits_remote DESC LIMIT 100
>
>
>
>
> Limit (cost=139735.51..139735.68 rows=69 width=64)
> -> Sort (cost=139735.51..139735.68 rows=69 width=64)
> Sort Key: sum(CASE WHEN ((video_views.hit IS TRUE) AND
> (video_views.logged_in IS FALSE)) THEN 1 ELSE 0 END)
> -> HashAggregate (cost=139731.33..139733.40 rows=69 width=64)
> -> Hash Join (cost=1164.79..138880.04 rows=30956 width=64)
> Hash Cond: (video_views.asset_id = assets.id)
> -> Hash Join (cost=324.39..137343.13 rows=30956 width=60)
> Hash Cond: (video_views.video_id = videos.id)
> -> Seq Scan on video_views
> (cost=0.00..114500.13 rows=5922413 width=12)
> -> Hash (cost=323.52..323.52 rows=69 width=52)
> -> Bitmap Heap Scan on videos
> (cost=64.90..323.52 rows=69 width=52)
> Recheck Cond: (company_id = 1)
> -> Bitmap Index Scan on
> complete_videos_without_deleted_at (cost=0.00..64.88 rows=69 width=0)
> Index Cond: (company_id = 1)
> -> Hash (cost=645.18..645.18 rows=15618 width=12)
> -> Seq Scan on assets (cost=0.00..645.18
> rows=15618 width=12)
>

Here are the indexes I already have on the table:

"video_views_pkey" PRIMARY KEY, btree (id)
"index_video_views_on_asset_id" btree (asset_id)
"index_video_views_on_video_id" btree (video_id)
"index_video_views_on_video_id_and_asset_id_and_created_at" btree
(video_id, created_at, asset_id)

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