sdf_seq

Creates a DataFrame for the given range

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_seq function

<dl><dt>sc</dt>
<dd>The associated Spark connection.</dd>
<dt>from, to</dt>
<dd>The start and end to use as a range</dd>
<dt>by</dt>
<dd>The increment of the sequence.</dd>
<dt>repartition</dt>
<dd>The number of partitions to use when distributing the
data across the Spark cluster. Defaults to the minimum number of partitions.</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 Range — sdf_seq

<dl>

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


<dt>from, to</dt>
<dd>The start and end to use as a range</dd>


<dt>by</dt>
<dd>The increment of the sequence.</dd>


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


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

</dl>

Create DataFrame for Range

sdf_seq: Create DataFrame for Range

Description

Usage

Arguments