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Subject: Re: Reading whole row vs a range of columns (pycassa)
From: aaron morton <aaron@thelastpickle.com>
In-Reply-To: <1300504954629-6186782.post@n2.nabble.com>
Date: Mon, 21 Mar 2011 11:13:34 +1300
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Message-Id: <31908913-6425-4DDF-8D50-4550F8D06AC0@thelastpickle.com>
References: <1300492458665-6186518.post@n2.nabble.com>
 <1300504954629-6186782.post@n2.nabble.com>
To: user@cassandra.apache.org

I'd collapse all the data for a single object into a single column, not =
sure about storing 100 objects in a single column though.=20

Have you considered any concurrency issues ? e.g. multiple threads / =
processes wanting to update different objects in the same group of 100?=20=


Dont understand your reference to the OOP in the context of a reading =
100 columns from a row.=20

Aaron

=20
On 19 Mar 2011, at 16:22, buddhasystem wrote:

> As I'm working on this further, I want to understand this:
>=20
> Is it advantageous to flatten data in blocks (strings) each containing =
a
> series of objects, if I know that a serial object read is often =
likely, but
> don't want to resort to OPP? I worked out the optimal granularity, it =
seems.
> Is it better to read a serialized single column with 100 objects than =
a row
> consisting of a hundred columns each modeling an object?
>=20
> --
> View this message in context: =
http://cassandra-user-incubator-apache-org.3065146.n2.nabble.com/Reading-w=
hole-row-vs-a-range-of-columns-pycassa-tp6186518p6186782.html
> Sent from the cassandra-user@incubator.apache.org mailing list archive =
at Nabble.com.