sdf_separate_column {sparklyr} | R Documentation

## Separate a Vector Column into Scalar Columns

### Description

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

### Usage

    sdf_separate_column(x, column, into = NULL)

### Arguments

`x` | A `spark_connection`, `ml_pipeline`, or a `tbl_spark`.
`column` | The name of a (vector-typed) column.
`into` | A specification of the columns that should be generated from `column`. 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.

[Package sparklyr version 0.8.4 Index]