sdf_with_sequential_id: Add a Sequential ID Column to a Spark DataFrame

View source: R/sdf_interface.R

sdf_with_sequential_idR Documentation

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 documentation built on May 29, 2024, 2:58 a.m.