From: | Pavel Stehule <pavel(dot)stehule(at)gmail(dot)com> |
---|---|
To: | David Johnston <polobo(at)yahoo(dot)com> |
Cc: | Linos <info(at)linos(dot)es>, "pgsql-sql(at)postgresql(dot)org" <pgsql-sql(at)postgresql(dot)org> |
Subject: | Re: advice on how to store variable attributes |
Date: | 2011-10-22 14:33:17 |
Message-ID: | CAFj8pRBJDpNqsb1PphQT_RCSZ3SGcBFaPP4UtdCZqQ10X7m7vw@mail.gmail.com |
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Lists: | pgsql-sql |
2011/10/22 David Johnston <polobo(at)yahoo(dot)com>:
> On Oct 22, 2011, at 10:07, Pavel Stehule <pavel(dot)stehule(at)gmail(dot)com> wrote:
>> 2011/10/22 David Johnston <polobo(at)yahoo(dot)com>:
>>> On Oct 22, 2011, at 6:41, Linos <info(at)linos(dot)es> wrote:
>>>
>>>> Hi all,
>>>> i need a little of advice on what could be the best way to store this information.
>>>>
>>>> We need to calculate the difference in costs for our operations, we are already
>>>> storing our vendor invoices in the database so calculate the monetary change it
>>>> is a no-brainer but we need to store special attributes for any of the invoices
>>>> that we need to compare too, for example:
>>>> -electric provider: total Kw.
>>>> -water provider: total m3.
>>>> -car maintenance: kilometers of the car.
>>>> -mobile phones provider: international call minutes, national minutes, number
>>>> of sms, etc..
>>>>
>>>> And much more types/variables, the number of variables can change, not every day
>>>> but still can change, i would like that they can be defined/changed from our
>>>> application, so alter table to add columns don't seem the best way (still an
>>>> option though). We will have "generic" reports that will show us changes in
>>>> costs and specific reports for the types with "extended attributes" that we want
>>>> to compare.
>>>>
>>>> To compare values from this "extended attributes" i think we have two ways:
>>>> 1- have them in columns and use standard SQL.
>>>> 2- create the columns with a function that reads this attrs and create the columns.
>>>>
>>>> So far i thin we have this options:
>>>> 1- a bunch of columns that would be null except when the type of the invoice
>>>> uses them.
>>>> 2- a table related with the vendor invoices table for every type of invoice
>>>> with his specifics columns.
>>>> 3- a key/value in a separate table related with the vendor invoices table where
>>>> i store the extended attrs of every invoice that needs them.
>>>> 4- use a hstore column in the vendor invoces table to store this attrs.
>>>>
>>>> The first two have the problem of probably changes to the number of attributes
>>>> of every type and give a more closed solution, apart from that 1- seems to be a
>>>> bit awkward and 2- would need the application that creates the query to know
>>>> with what table should join for every type (other point we will need to change
>>>> if we want to create new invoices types).
>>>>
>>>> The last two have his own problems too, with 3 i will need to create a function
>>>> that return rows as columns to compare them, with 4- given that i will store the
>>>> attrs of every type in the database anyway i can use the operator -> (with a
>>>> CASE using operator ? returning 0 if the searched attr it is not in the hstore)
>>>> but still don't seem a clean solution for me.
>>>>
>>>> For me it seems i am missing something, probably any of you have a much more
>>>> elegant (or correct) way to handle this situation, what would be your advice?
>>>> Thanks.
>>>>
>>>>
>>>
>>> Create a table with a single numeric column and multiple category columns.
>>>
>>> ( amount_value, amount_unit, amount_category, vendor_id )
>>
>>
>> This is EAV model - is good for smaller datasets, for larger datasets
>> is problematic. There is second possibility - using a "hstore" contrib
>> module - that emulates HASH table - It has better for larger datasets.
>>
>> Regards
>>
>> Pavel Stehule
>
> Store was mentioned by the OP.
>
> Any suggestions on where the line between small and large is drawn?
>
> Partitions could help in the larger cases.
>
> My personal first choice is to use separate tables. If going EAV route plan on eventually moving to the separate table route and at least try to make migration relatively easy.
>
> Since both models capture the same data the decision at least partially rests upon the immediate use-cases for the data. Lacking use-cases and size parameters recommendations are difficult to make.
>
> I have not used hstore so my ability to recommend it is limited. My main "concern" is the fact that the data is less visible and always stored as text. I see hstore as being useful for situations where the attributes are variable but this use case seems to have fairly well-defined attributes.
>
ook - it is true
Pavel
> David J.
>
>
>>
>>>
>>> If necessary each "amount_value" data type should have it's own table since the processing logic will vary (I.e., you cannot subtract text or Boolean values).
>>>
>>> You are , in effect, creating multiple tables but combining them into one and using the category column to distinguish between them.
>>>
>>> David J.
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>>
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