sdf_with_unique_id

Add a unique ID column to a Spark DataFrame. The Spark
<code>monotonicallyIncreasingId</code> function is used to produce these and is
guaranteed to produce unique, monotonically increasing ids; however, there
is no guarantee that these IDs will be sequential. The table is persisted
immediately after the column is generated, to ensure that the column is
stable -- otherwise, it can differ across new computations.

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

Edgar Ruiz

sparklyr

R Interface to Apache Spark

Javier Luraschi

Kevin Kuo

Kevin Ushey

JJ Allaire

Samuel Macedo

Hossein Falaki

Lu Wang

Andy Zhang

Yitao Li

Jozef Hajnala

Maciej Szymkiewicz

Wil Davis

 RStudio

 The Apache Software Foundation

sdf_with_unique_id function

<dl><dt>x</dt>
<dd>A <code>spark_connection</code>, <code>ml_pipeline</code>, or a <code>tbl_spark</code>.</dd>
<dt>id</dt>
<dd>The name of the column to host the generated IDs.</dd></dl>

Arguments

Add a Unique ID Column to a Spark DataFrame — sdf_with_unique_id

<dl>

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


<dt>id</dt>
<dd>The name of the column to host the generated IDs.</dd>

</dl>

Add a Unique ID Column to a Spark DataFrame

sdf_with_unique_id: Add a Unique ID Column to a Spark DataFrame

Description

Usage

Arguments