stream_trigger_continuous

Creates a Spark structured streaming trigger to execute
continuously. This mode is the most performant but not all operations
are supported.

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

stream_trigger_continuous function

<dl><dt>checkpoint</dt>
<dd>The checkpoint interval specified in milliseconds.</dd></dl>

Arguments

Spark Stream Continuous Trigger — stream_trigger_continuous

<dl>

<dt>checkpoint</dt>
<dd>The checkpoint interval specified in milliseconds.</dd>

</dl>

Spark Stream Continuous Trigger

stream_trigger_continuous: Spark Stream Continuous Trigger

Description

Usage

Arguments

See Also