sdf_dim

sdf_nrow

sdf_ncol

<code>sdf_dim()</code>, <code>sdf_nrow()</code> and <code>sdf_ncol()</code> provide similar
functionality to <code><a href="/link/dim()?package=sparklyr&version=1.8.4" data-mini-rdoc="sparklyr::dim()">dim()</a></code>, <code><a href="/link/nrow()?package=sparklyr&version=1.8.4" data-mini-rdoc="sparklyr::nrow()">nrow()</a></code> and <code><a href="/link/ncol()?package=sparklyr&version=1.8.4" data-mini-rdoc="sparklyr::ncol()">ncol()</a></code>.

R interface to Apache Spark, a fast and general
engine for big data processing, see <https://spark.apache.org/>. This
package supports connecting to local and remote Apache Spark clusters,
provides a 'dplyr' compatible back-end, and provides an interface to
Spark's built-in machine learning algorithms.

Edgar Ruiz

sparklyr

R Interface to Apache Spark

Javier Luraschi

Kevin Kuo

Kevin Ushey

JJ Allaire

Samuel Macedo

Hossein Falaki

Lu Wang

Andy Zhang

Yitao Li

Jozef Hajnala

Maciej Szymkiewicz

Wil Davis

 RStudio

 The Apache Software Foundation

sdf_dim function

<dl><dt>x</dt>
<dd>An object (usually a <code>spark_tbl</code>).</dd></dl>

Arguments

<code>sdf_dim()</code>, <code>sdf_nrow()</code> and <code>sdf_ncol()</code> provide similar
functionality to <code><a href='https://rdrr.io/r/base/dim.html'>dim()</a></code>, <code><a href='https://rdrr.io/r/base/nrow.html'>nrow()</a></code> and <code><a href='https://rdrr.io/r/base/nrow.html'>ncol()</a></code>.

Support for Dimension Operations — sdf_dim

<dl>

<dt>x</dt>
<dd>An object (usually a <code>spark_tbl</code>).</dd>

</dl>

Support for Dimension Operations

sdf_dim: Support for Dimension Operations

Description

Usage

Arguments