Re: Fast insertion indexes: why no developments

From: Merlin Moncure <mmoncure(at)gmail(dot)com>
To: Simon Riggs <simon(at)2ndquadrant(dot)com>
Cc: Leonardo Francalanci <m_lists(at)yahoo(dot)it>, PostgreSQL-development <pgsql-hackers(at)postgresql(dot)org>
Subject: Re: Fast insertion indexes: why no developments
Date: 2013-11-13 14:54:53
Message-ID: CAHyXU0x8MPH-=FNVOKUVppkM11BVWyzVNoe8HBPTmG2v_1bctQ@mail.gmail.com
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On Wed, Nov 13, 2013 at 7:33 AM, Simon Riggs <simon(at)2ndquadrant(dot)com> wrote:
> On 13 November 2013 09:31, Leonardo Francalanci <m_lists(at)yahoo(dot)it> wrote:
>> I would like to see some numbers.
>
> Alvaro has given me some results for his patch. The figures I have are
> for a 2GB table.
>
> Index Build Time
> MinMax 11 s
> Btree 96s
>
> Index Size
> MinMax 2 pages + metapage
> Btree approx 200,000 pages + metapage
>
> Load time
> MinMax no overhead, same as raw COPY
> BTree - considerably slower
>
> Index SELECT
> Slower for small groups of rows
> Broadly same for large requests (more results required on that assessment)
>
> I expect to publish results against TPC-H cases in next few weeks.
>
> Additional tests are welcome for other use cases.

Those are pretty exciting numbers. These days for analytics work I'm
using mostly covering index type approaches. I bet the tiny index
would more than offset the extra heap accesses. Can you CLUSTER
against a minmax index?

merlin

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