Re: Index Tuple Compression Approach? - Mailing list pgsql-hackers

From Decibel!
Subject Re: Index Tuple Compression Approach?
Date
Msg-id 20070814212739.GS54135@nasby.net
Whole thread Raw
In response to Index Tuple Compression Approach?  (Chris Browne <cbbrowne@acm.org>)
Responses Re: Index Tuple Compression Approach?  (Jeff Davis <pgsql@j-davis.com>)
List pgsql-hackers
Isn't this what Grouped Index Tuples is?

On Tue, Aug 14, 2007 at 05:21:16PM -0400, Chris Browne wrote:
> I recently had a chat with someone who was pretty intimate with Adabas
> for a number of years who's in the process of figuring things out
> about PostgreSQL.  We poked at bits of the respective implementations,
> seeing some similarities and differences.  He pointed out one aspect
> of index handling that could (in principle) be an interesting
> optimization.
>
> Evidently, in Adabas, index leaf nodes were not simply tuples, but
> lists where the index value would not be repeated.
>
> In PostgreSQL, if you have the index value 'abc', and there are 10
> tuples with that value, then you'll have a page full of tuples of the
> following form:
>
> |abc|ptr[rec1]|abc|ptr[rec2]|abc|ptr[rec3]| ...and so forth...
>
> Now, the Adabas approach was rather different.  It would only have the
> index value once, and then have the list of tuple pointers:
>
> |abc|ptr[rec1],ptr[rec2],ptr[rec3],...[ptr[rec10]|
>
> This could allow a fair bit of compression, for cases where the index
> value is not unique.
>
> There is a concommitant downside, that concurrent updates may fight
> over a page, and, since there would be a higher density, there would
> be more need to fight over pages.
>
> Does this seem pretty much like madness?  Or is it a plausible "some
> day ToDo"?
> --
> "cbbrowne","@","acm.org"
> http://linuxfinances.info/info/postgresql.html
> "I don't do drugs anymore 'cause I  find I get the same effect just by
> standing up really fast." -- Jonathan Katz
>
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--
Decibel!, aka Jim Nasby                        decibel@decibel.org
EnterpriseDB      http://enterprisedb.com      512.569.9461 (cell)

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