sdf_len

The desired length of the sequence.

length

The number of partitions to use when distributing the
data across the Spark cluster.

repartition

The data type to use for the index, either <code>"integer"</code> or <code>"integer64"</code>.

type

Creates a DataFrame for the given length.

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_len function

<dl><dt>sc</dt>
<dd>The associated Spark connection.</dd>
<dt>length</dt>
<dd>The desired length of the sequence.</dd>
<dt>repartition</dt>
<dd>The number of partitions to use when distributing the
data across the Spark cluster.</dd>
<dt>type</dt>
<dd>The data type to use for the index, either <code>"integer"</code> or <code>"integer64"</code>.</dd></dl>

Arguments

Create DataFrame for Length — sdf_len

<dl>

<dt>sc</dt>
<dd>The associated Spark connection.</dd>


<dt>length</dt>
<dd>The desired length of the sequence.</dd>


<dt>repartition</dt>
<dd>The number of partitions to use when distributing the
data across the Spark cluster.</dd>


<dt>type</dt>
<dd>The data type to use for the index, either <code>"integer"</code> or <code>"integer64"</code>.</dd>

</dl>

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sdf_len: Create DataFrame for Length

Description

Usage

Arguments