On 2/10/2010 5:13 PM, rama wrote:
> in that way, when i need to do a query for a long ranges (ie: 1 year) i just take the rows that are contained to
contab_y
> if i need to got a query for a couple of days, i can go on ymd, if i need to get some data for the other timeframe, i
cando some cool intersection between
> the different table using some huge (but fast) queries.
>
>
> Now, the matter is that this design is hard to mantain, and the tables are difficult to check
>
> what i have try is to go for a "normal" approach, using just a table that contains all the data, and some proper
indexing.
> The issue is that this table can contains easilly 100M rows :)
> that's why the other guys do all this work to speed-up queryes splitting data on different table and precalculating
thesums.
>
>
> I am here to ask for an advice to PGsql experts:
> what do you think i can do to better manage this situation?
> there are some other cases where i can take a look at? maybe some documentation, or some technique that i don't know?
> any advice is really appreciated!
>
Look into table partitioning
http://www.postgresql.org/docs/current/static/ddl-partitioning.html
Its similar to what you are doing but it simplifies queries and logic to
access large data sets.
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