A better way than tweaking NTUP_PER_BUCKET - Mailing list pgsql-hackers

From Simon Riggs
Subject A better way than tweaking NTUP_PER_BUCKET
Date
Msg-id CA+U5nMJ21SXCHK6sG2Oq7t0ZTUaOebFhUPrczFBBmMfEZam2+A@mail.gmail.com
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Responses Re: A better way than tweaking NTUP_PER_BUCKET  (Stephen Frost <sfrost@snowman.net>)
Re: A better way than tweaking NTUP_PER_BUCKET  (Robert Haas <robertmhaas@gmail.com>)
List pgsql-hackers
Previous discussions of Hash Joins have noted that the performance
decreases when the average number of tuples per bucket increases.
O(N^2) effects are seen.

We've argued this about many different ways, yet all of those
discussions have centred around the constant NTUP_PER_BUCKET. I
believe that was a subtle mistake and I have a proposal.

The code in ExecChooseHashTableSize() line 460 says
 /*
  * Set nbuckets to achieve an average bucket load of NTUP_PER_BUCKET when
  * memory is filled.
...

but the calculation then sets the number of buckets like this

 dbuckets = ceil(ntuples / NTUP_PER_BUCKET);

**This is doesn't match the comment.** If we underestimate the number
of tuples and go on to fill the available memory, we then end up with
an average number of tuples per bucket higher than NTUP_PER_BUCKET. A
notational confusion that has been skewing the discussion.

The correct calculation that would match the objective set out in the
comment would be

 dbuckets = (hash_table_bytes / tupsize) / NTUP_PER_BUCKET;

Which leads us to a much more useful value of dbuckets in the case
where using ntuples occupies much less space than is available. This
value is always same or higher than previously because of the if-test
that surrounds it.

Given my experience that on larger tables we end up underestimating
ndistinct by 10-100-1000 times, I don't think this change is
unwarranted.

This solves the problem in earlier discussions since we get a lower
average number of tuples per bucket and yet we also get to keep the
current NTUP_PER_BUCKET value. Everybody wins.

Comments?

--
 Simon Riggs                   http://www.2ndQuadrant.com/
 PostgreSQL Development, 24x7 Support, Training & Services

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