get_csv_read_fn

Get the first CSV Read function installed

The main functions in this package are with_cache() and cached_read().
The former is a simple way to cache an R object into a file on disk,
using 'cachem'. The latter is a wrapper around any standard read function,
but caches both the output and the file list info. If the input file list
info hasn't changed, the cache is used; otherwise, the original files are
re-read. This can save time if the original operation requires reading from
many files, and/or involves lots of processing.

Or Gadish

filecacher

File Cacher

get_csv_read_fn function

<dl><dt>read_type</dt>
<dd>Type of csv read function to use. One of:<ul>
<li>"readr": <code><a href="https://readr.tidyverse.org/reference/read_delim.html">readr::read_csv()</a></code></li>
<li>"arrow": <code>vectorize_reader(arrow::read_csv_arrow)()</code></li>
<li>"data.table": <code>vectorize_reader(data.table::fread)()</code></li>
<li>"base": <code>vectorize_reader(utils::read.csv)()</code></li>
<li><code>NULL</code> (default): uses the first installed.</li>
</ul></dd></dl>

Arguments

Get the first CSV Read function installed — get_csv_read_fn

<dl>

<dt>read_type</dt>
<dd>Type of csv read function to use. One of:<ul>
<li>"readr": <code><a href='https://readr.tidyverse.org/reference/read_delim.html'>readr::read_csv()</a></code></li>
<li>"arrow": <code>vectorize_reader(arrow::read_csv_arrow)()</code></li>
<li>"data.table": <code>vectorize_reader(data.table::fread)()</code></li>
<li>"base": <code>vectorize_reader(utils::read.csv)()</code></li>
<li><code>NULL</code> (default): uses the first installed.</li>
</ul></dd>

</dl>

get_csv_read_fn: Get the first CSV Read function installed

Description

Usage

Value

Arguments