Re: Best practices for aggregate table design

From: hari(dot)fuchs(at)gmail(dot)com
To: pgsql-general(at)postgresql(dot)org
Subject: Re: Best practices for aggregate table design
Date: 2015-10-08 07:49:10
Message-ID: 87bnc9ol55.fsf@hf.protecting.net
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Thomas Kellerer <spam_eater(at)gmx(dot)net> writes:

> droberts schrieb am 06.10.2015 um 20:53:
>> Okay, so is it safe to say I should use loosely use these guidelines when
>> deciding whether to model an attribute as a dimension
>> (type=[inbound,outbound]) vs. bundling with a measure (total_inbound) ?
>>
>> If you know the number of values for a dimension are fixed (e.g. boolean),
>> then creating a measure will have benefits of:
>> - reduced number of rows/storage
>> - better performance since less indexing/vacuuming
>>
>> the drawbacks are:
>> -rigid structure, not very extensible over time (e.g. later realize I need
>> to also track 'internal' calls).
>>
>> In my case, I'm now needing to add another measure 'encrypted=true/false',
>> so my table is starting to look like
>
> Have you considered using a hstore column to store the attributes you
> don't know yet?
>
> Which makes this extensible, flexible and fast.

Is there an advantage of hstore vs. json/jsonb?

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