tbl_csv

Opens a CSV file for lazy, streaming query execution. Column types are
inferred from the first 1000 rows. No data is read until <code>collect()</code> is
called. Gzip-compressed files (<code>.csv.gz</code>) are supported transparently.

A minimal columnar query engine with lazy execution on datasets
larger than RAM. Provides 'dplyr'-like verbs (filter(), select(), mutate(),
group_by(), summarise(), joins, window functions) and common aggregations
(n(), sum(), mean(), min(), max(), sd(), first(), last()) backed by a
pure C11 pull-based execution engine and a custom on-disk format ('.vtr').
Reads and writes 'GeoTIFF' (including tiled and 'BigTIFF' layouts) and a
tiled raster format ('.vec') with overview pyramids and time cubes for
larger-than-RAM raster data.

Gilles Colling

vectra

Columnar Query Engine for Larger-than-RAM Data

tbl_csv function

<dl><dt>path</dt>
<dd>Path to a <code>.csv</code> or <code>.csv.gz</code> file.</dd>
<dt>batch_size</dt>
<dd>Number of rows per batch (default 65536).</dd></dl>

Arguments

Create a lazy table reference from a CSV file — tbl_csv

<dl>

<dt>path</dt>
<dd>Path to a <code>.csv</code> or <code>.csv.gz</code> file.</dd>


<dt>batch_size</dt>
<dd>Number of rows per batch (default 65536).</dd>

</dl>

tbl_csv: Create a lazy table reference from a CSV file

Description

Usage

Value

Arguments

Examples