From: | Dave Potts <dave(dot)potts(at)pinan(dot)co(dot)uk> |
---|---|
To: | pgsql-general(at)postgresql(dot)org |
Subject: | Partitioning V schema |
Date: | 2013-09-19 07:02:38 |
Message-ID: | 523AA18E.5030404@pinan.co.uk |
Views: | Raw Message | Whole Thread | Download mbox | Resend email |
Thread: | |
Lists: | pgsql-general |
Hi List
I am looking for some general advice about the best was of splitting a
large data table,I have 2 different choices, partitioning or different
schemas.
The data table refers to the number of houses that can be include in a
city, as such there are large number of records.
I am wondering if decided to partition the table if the update
speed/access might be faster that just declaring a different schema per
city.
Under the partition the data table would appear to be smaller, so I
should get an increase in speed, but the database still have to do some
sort of indexing.
If I used different schemas, it resolves data protection issues, but
doing a backup might become a nightmare
In general which is the fast access method?
regards
Dave.
From | Date | Subject | |
---|---|---|---|
Next Message | Vincent Veyron | 2013-09-19 08:56:51 | Re: Using ODBC and VBA to pull data from a large object |
Previous Message | Jayadevan | 2013-09-19 06:33:16 | Re: Query - CPU issue |