sdf_separate_column

A <code>spark_connection</code>, <code>ml_pipeline</code>, or a <code>tbl_spark</code>.

The name of a (vector-typed) column.

column

A specification of the columns that should be
generated from <code>column</code>. This can either be a
vector of column names, or an R list mapping column
names to the (1-based) index at which a particular
vector element should be extracted.

into

Given a vector column in a Spark DataFrame, split that
into <code>n</code> separate columns, each column made up of
the different elements in the column <code>column</code>.

R interface to Apache Spark, a fast and general engine for big data
processing, see <http://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.

Javier Luraschi

sparklyr

sdf_separate_column: Separate a Vector Column into Scalar Columns

Description

Usage

Arguments