[.tbl_spark

Susetting operator for Spark dataframe allowing a subset of column(s) to be
selected using syntaxes similar to those supported by R dataframes

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

[.tbl_spark function

<dl><dt>x</dt>
<dd>The Spark dataframe</dd>
<dt>i</dt>
<dd>Expression specifying subset of column(s) to include or exclude
from the result (e.g., `["col1"]`, `[c("col1", "col2")]`, `[1:10]`, `[-1]`,
`[NULL]`, or `[]`)</dd></dl>

Arguments

Subsetting operator for Spark dataframe — [.tbl_spark

<dl>

<dt>x</dt>
<dd>The Spark dataframe</dd>


<dt>i</dt>
<dd>Expression specifying subset of column(s) to include or exclude
from the result (e.g., `["col1"]`, `[c("col1", "col2")]`, `[1:10]`, `[-1]`,
`[NULL]`, or `[]`)</dd>

</dl>

Subsetting operator for Spark dataframe

[.tbl_spark: Subsetting operator for Spark dataframe

Description

Usage

Arguments