Hi,
On 2020-06-03 13:26:43 -0700, Andres Freund wrote:
> On 2020-06-03 21:31:01 +0200, Tomas Vondra wrote:
> > So there seems to be +40% between 9.6 and 10, and further +25% between
> > 10 and master. However, plain hashagg, measured e.g. like this:
As far as I can tell the 10->master difference comes largely from the
difference of the number of buckets in the hashtable.
In 10 it is:
Breakpoint 1, tuplehash_create (ctx=0x5628251775c8, nelements=75,
private_data=0x5628251952f0)
and in master it is:
Breakpoint 1, tuplehash_create (ctx=0x5628293a0a70, nelements=256,
private_data=0x5628293a0b90)
As far as I can tell the timing difference simply is the cost of
iterating 500k times over a hashtable with fairly few entries. Which is,
unsurprisingly, more expensive if the hashtable is larger.
The reason the hashtable got bigger in 12 is
commit 1f39bce021540fde00990af55b4432c55ef4b3c7
Author: Jeff Davis <jda...@postgresql.org>
Date: 2020-03-18 15:42:02 -0700
Disk-based Hash Aggregation.
which introduced
+/* minimum number of initial hash table buckets */
+#define HASHAGG_MIN_BUCKETS 256
I don't really see much explanation for that part in the commit, perhaps
Jeff can chime in?
I think optimizing for the gazillion hash table scans isn't particularly
important. Rarely is a query going to have 500k scans of unchanging
aggregated data. So I'm not too concerned about the 13 regression - but
I also see very little reason to just always use 256 buckets? It's
pretty darn common to end up with 1-2 groups, what's the point of this?
I'll look into 9.6->10 after buying groceries... But I'd wish there were
a relevant benchmark, I don't think it's worth optimizing for this case.
Greetings,
Andres Freund
