On 10/28/2013 09:27 AM, Herouth Maoz wrote:
I have a rather large and slow table in Postgresql 9.1. I'm thinking of partitioning it by months, but I don't like the idea of creating and dropping tables all the time.
What is slow about it? Inserting? Selecting? Deleting? Partitioning can
assist with some issues but does no good if what you really need is an
index or better query. Partitioning shines as an option to manage
archiving/purging of time-series data but only if you work with it, not
against it.
What don't you like about creating and dropping tables? You can easily
automate it: https://github.com/keithf4/pg_partman
I'm thinking of simply creating 12 child tables, in which the check condition will be, for example, date_part('month'', time_arrived) = 1 (or 2 for February, 3 for March etc.).
I'll just be deleting records rather than dropping tables, the same way I do in my current setup. I delete a week's worth every time.
You are missing out on one of the best aspects of partitioning. Compared
to dropping or truncating a child table, deleting is far slower and
causes table bloat which may impact future queries.
Second, when I delete (not drop!) from the mother table, are records deleted automatically from the child tables or do I need to create rules/triggers for that?
Yes unless you use the keyword "ONLY": "If specified, deletes rows from
the named table only. When not specified, any tables inheriting from the
named table are also processed."
Cheers,
Steve
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