From: | Alvaro Herrera <alvherre(at)2ndquadrant(dot)com> |
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To: | Konstantin Knizhnik <k(dot)knizhnik(at)postgrespro(dot)ru> |
Cc: | Michael Paquier <michael(dot)paquier(at)gmail(dot)com>, Jeff Janes <jeff(dot)janes(at)gmail(dot)com>, PostgreSQL mailing lists <pgsql-hackers(at)postgresql(dot)org>, tomas(dot)vondra(at)2ndquadrant(dot)com, Simon Riggs <simon(at)2ndQuadrant(dot)com> |
Subject: | Re: On columnar storage (2) |
Date: | 2015-12-28 19:35:27 |
Message-ID: | 20151228193527.GP58441@alvherre.pgsql |
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Konstantin Knizhnik wrote:
> 3. Transpose of data and role of CS.
> Let's look once again on Quote example above. Data is received in time
> ascending order. But most queries require grouping it by symbol. So at some
> stage we have to "transpose" data. To efficiently append data to timeseries
> we need to buffer it somewhere and then use append range of values. In
> Fujitsu approach two different representations of data are used: reader and
> writer optimized. In IMCS approach, CS is just temporary projection of
> normal PostgreSQL tables. So we do not need to worry about durability - it
> is enforced by PostgreSQL.
>
> So the question is whether CS should be only storage for the data or just
> copy (may be transient) of normal table?
Our original plan was that a CS was the primary storage of data, not a
duplicate. However, after some discussion it became apparent that are
several use cases that are better served by allowing redundant storage,
i.e. having CSs that are just a reader-optimized copy of data that
exists elsewhere. While I'm not a fan of that approach, I think it
would be good to leave the door open for a future implementation of
that. However, I think it'll bring interesting challenges to the
optimizer side, so I'm not promising to work on it.
--
Álvaro Herrera http://www.2ndQuadrant.com/
PostgreSQL Development, 24x7 Support, Remote DBA, Training & Services
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