sparklyr: sdf_separate_column – R documentation

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sdf_separate_column

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.

sparklyr

R Interface to Apache Spark

v1.6.2

Apache License 2.0 | file LICENSE

Authors

Javier Luraschi [aut], Kevin Kuo [aut] (<https://orcid.org/0000-0001-7803-7901>), Kevin Ushey [aut], JJ Allaire [aut], Samuel Macedo [ctb], Hossein Falaki [aut], Lu Wang [aut], Andy Zhang [aut], Yitao Li [aut, cre] (<https://orcid.org/0000-0002-1261-905X>), Jozef Hajnala [ctb], Maciej Szymkiewicz [ctb] (<https://orcid.org/0000-0003-1469-9396>), Wil Davis [ctb], RStudio [cph], The Apache Software Foundation [aut, cph]

Initial release

sdf_separate_column

Description

Usage

Arguments

sparklyr

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