Hi,
IMHO you need only when your columns are numeric
X rows /100/100/8 MB.
>>(1200*3)/100/100/8
[1] 450
But one of your columns is group char.
I'm suffering in the past in lot of things with massive data and R and
recognize doing how many as possible in the database, or you have to
upgrade
Christoph Lehmann wrote:
Hi
I just started with RMySQL. I have a database with roughly 12 millions
rows/records and 8 columns/fields.
From all 12 millions of records I want to import 3 fields only.
The fields are specified as:id int(11), group char(15), measurement
float(4,2).
Why does this tak
Hi
I just started with RMySQL. I have a database with roughly 12 millions
rows/records and 8 columns/fields.
From all 12 millions of records I want to import 3 fields only.
The fields are specified as:id int(11), group char(15), measurement
float(4,2).
Why does this take > 1G RAM? I run R on sus
