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R
sparklyr

sdf_with_sequential_id

Add a Sequential ID Column to a Spark DataFrame

Description

Add a sequential ID column to a Spark DataFrame. The Spark zipWithIndex function is used to produce these. This differs from sdf_with_unique_id in that the IDs generated are independent of partitioning.

Usage

sdf_with_sequential_id(x, id = "id", from = 1L)

Arguments

x

A spark_connection, ml_pipeline, or a tbl_spark.
id

The name of the column to host the generated IDs.
from

The starting value of the id column
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

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