On Wed, Mar 1, 2017 at 9:19 AM, Andres Freund <andres@anarazel.de> wrote:
> On 2017-03-01 09:13:15 +0530, Kuntal Ghosh wrote:
>> On Wed, Mar 1, 2017 at 8:48 AM, Andres Freund <andres@anarazel.de> wrote:
>> >> BTW, another option to consider is lowering the target fillfactor.
>> >> IIRC, Kuntal mentioned to me that cranking it down seemed to fix the
>> >> issue. Obviously, it's better to detect when we need a lower
>> >> fillfactor than to always use a lower one, but obviously the tighter
>> >> you pack the hash table, the more likely it is that you're going to
>> >> have these kinds of problems.
>> >
>> > Yea, that'd be one approach, but I feel better dynamically increasing
>> > the fillfactor like in the patch. Even with a lower fillfactor you could
>> > see issues, and as you say a higher fillfactor is nice [TM]; after the
>> > patch I played with *increasing* the fillfactor, without being able to
>> > measure a downside.
>
>> I've tested with different fill factors and the query got completed
>> with fill factor 0.6.
>
> That's without the patch in
> http://archives.postgresql.org/message-id/20161123083351.5vramz52nmdokhzz%40alap3.anarazel.de
> ? With that patch it should complete without that change, right?
>
No, it's with the patch in the above link which is
0001-Resize-simplehash.h-table-in-case-of-long-runs.patch. But, I've
kept the SH_FILLFACTOR to 0.8 and SH_MAX_FILLFACTOR to 0.95. I'll do
another round of testing with the constants provided by you.
>> With linear probing, the performance degrades more quickly at high
>> fill factors because of primary clustering, a tendency for one
>> collision to cause more nearby collisions. So, increasing the fill
>> factor further doesn't seem to be a good idea.
>
> Well, the idea is increasing it, but *also* detecting clustering and
> adaptively resizing earlier.
>
>
>> So, I was looking for other alternatives and I've found one called
>> RobinHood hashing.
>
> simplehash.h implements robin hood hashing.
>
>
But, it doesn't implement the swapping idea, right?
--
Thanks & Regards,
Kuntal Ghosh
EnterpriseDB: http://www.enterprisedb.com
