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From: twoflower <standa.kurik@gmail.com>
To: pgsql-performance@postgresql.org
Subject: Re: Query > 1000× slowdown after adding datetime comparison
Date: Mon, 31 Aug 2015 12:19:23 -0700 (MST)
Message-ID: <1441048763332-5864080.post@n5.nabble.com> (raw)
In-Reply-To: <1441047830983-5864075.post@n5.nabble.com>
References: <1441037351126-5864045.post@n5.nabble.com>
	<55E47E97.1090202@2ndquadrant.com>
	<1441047830983-5864075.post@n5.nabble.com>
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And another thing which comes out as a little surprising to me - if I replace
the *date_last_updated* condition with another one, say *doc.documenttype =
4*, the query finishes immediately. *documenttype* is an unindexed integer
column.

Here's the query plan:

<http://postgresql.nabble.com/file/n5864080/qp3.png; 

What's so special about that *date_last_updated* condition that makes it so
slow to use? Is it because it involves the *date()* function call that it
makes it difficult for the planner to guess the data distribution in the
DOCUMENT table?



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