spark_apply_log

Writes data to log under <code>spark_apply()</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

spark_apply_log function

<dl><dt>...</dt>
<dd>Arguments to write to log.</dd>
<dt>level</dt>
<dd>Severity level for this entry; recommended values: <code>INFO</code>,
<code>ERROR</code> or <code>WARN</code>.</dd></dl>

Arguments

Log Writer for Spark Apply — spark_apply_log

<dl>

<dt>...</dt>
<dd>Arguments to write to log.</dd>


<dt>level</dt>
<dd>Severity level for this entry; recommended values: <code>INFO</code>,
<code>ERROR</code> or <code>WARN</code>.</dd>

</dl>

Log Writer for Spark Apply

spark_apply_log: Log Writer for Spark Apply

Description

Usage

Arguments