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I just read in a large csv file. I used lazy=T. However, the size of the object I read the file into is the same size as the file itself.
lazy=T
Do I need to do something else to read the table in lazily?
If I am actually able to read in a file lazily, can I use dplyr verbs on it?
> library(tidyverse) > df = read_csv('mem_detail.csv', lazy=T) Rows: 61923459 Columns: 28 ── Column specification ─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── > object.size(df) 13048425864 bytes
-rw------- 1 balter chse 12G Mar 12 19:05 mem_detail.csv
The text was updated successfully, but these errors were encountered:
Duplicate of #1499
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I just read in a large csv file. I used
lazy=T
. However, the size of the object I read the file into is the same size as the file itself.Do I need to do something else to read the table in lazily?
If I am actually able to read in a file lazily, can I use dplyr verbs on it?
The text was updated successfully, but these errors were encountered: