On Wed, 26 Dec 2007 20:48:27 +0100
Andreas Kretschmer <akretschmer@spamfence.net> wrote:
> blackwater dev <blackwaterdev@gmail.com> schrieb:
>
> > I have some php code that will be pulling in a file via ftp.
> > This file will contain 20,000+ records that I then need to pump
> > into the postgres db. These records will represent a subset of
> > the records in a certain table. I basically need an efficient
> > way to pump these rows into the table, replacing matching rows
> > (based on id) already there and inserting ones that aren't. Sort
> > of looping through the result and inserting or updating based on
> > the presents of the row, what is the best way to handle this?
> > This is something that will run nightly.
> Insert you data to a extra table and work with regular SQL to
> insert/update the destination table. You can use COPY to insert the
> data into your extra table, this works very fast, but you need a
> suitable file format for this.
What if you know in advance what are the row that should be inserted
and you've a batch of rows that should be updated?
Is it still the fasted system to insert them all in a temp table with
copy?
What about the one that have to be updated if you've all the columns,
not just the changed ones?
Is it faster to delete & insert or to update?
updates comes with the same pk as the destination table.
thx
--
Ivan Sergio Borgonovo
http://www.webthatworks.it
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