sdf_debug_string

Prints plan of execution to generate <code>x</code>. This plan will, among other things, show the
number of partitions in parenthesis at the far left and indicate stages using indentation.

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_debug_string function

<dl><dt>x</dt>
<dd>An R object wrapping, or containing, a Spark DataFrame.</dd>
<dt>print</dt>
<dd>Print debug information?</dd></dl>

Arguments

Debug Info for Spark DataFrame — sdf_debug_string

<dl>

<dt>x</dt>
<dd>An R object wrapping, or containing, a Spark DataFrame.</dd>


<dt>print</dt>
<dd>Print debug information?</dd>

</dl>

Debug Info for Spark DataFrame

sdf_debug_string: Debug Info for Spark DataFrame

Description

Usage

Arguments