From: | Tom Sheehan <tomas(at)csi(dot)com> |
---|---|
To: | PgSQL Novice ML <pgsql-novice(at)postgresql(dot)org> |
Subject: | Re: Better way to bulk-load millions of CSV records into postgres? |
Date: | 2002-05-22 14:19:31 |
Message-ID: | 001b01c2019b$b34ad620$6a01010a@DOMAIN1.com |
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Thread: | |
Lists: | pgsql-novice |
Have you looked at the COPY command is psql for this? There are the, 'FROM
{ 'filename' | stdin } and [ [USING] DELIMITERS] clauses that may be of use.
It seems to me that bulk loading is what they were designed for.
ts
----- Original Message -----
From: "Ron Johnson" <ron(dot)l(dot)johnson(at)cox(dot)net>
To: "PgSQL Novice ML" <pgsql-novice(at)postgresql(dot)org>
Sent: Tuesday, May 21, 2002 3:40 PM
Subject: [NOVICE] Better way to bulk-load millions of CSV records into
postgres?
>
> Hi,
>
> Currently, I've got a python script using pyPgSQL that
> parses the CSV record, creates a string that is a big
> "INSERT INTO VALUES (...)" command, then, execute() it.
>
> top shows that this method uses postmaster with ~70% CPU
> utilization, and python with ~15% utilization.
>
> Still, it's only inserting ~190 recs/second. Is there a
> better way to do this, or am I constrained by the hardware?
>
> Instead of python and postmaster having to do a ton of data
> xfer over sockets, I'm wondering if there's a way to send a
> large number of csv records (4000, for example) in one big
> chunk to a stored procedure and have the engine process it
> all.
>
> Linux 2.4.18
> PostgreSQL 7.2.1
> python 2.1.3
> csv file on /dev/hda
> table on /dev/hde (ATA/100)
>
> --
> +---------------------------------------------------------+
> | Ron Johnson, Jr. Home: ron(dot)l(dot)johnson(at)cox(dot)net |
> | Jefferson, LA USA http://ronandheather.dhs.org:81 |
> | |
> | "I have created a government of whirled peas..." |
> | Maharishi Mahesh Yogi, 12-May-2002, |
> ! CNN, Larry King Live |
> +---------------------------------------------------------+
>
>
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