tbl_cache

name

<p>Force the data to be loaded into memory? This is accomplished
by calling the <code>count</code> API on the associated Spark DataFrame.</p>

force

<p>Force a Spark table with name <code>name</code> to be loaded into memory.
Operations on cached tables should normally (although not always)
be more performant than the same operation performed on an uncached
table.</p>

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

Javier Luraschi

sparklyr

R Interface to Apache Spark

Kevin Kuo

Kevin Ushey

JJ Allaire

 RStudio

 The Apache Software Foundation

tbl_cache function

Cache a Spark Table — tbl_cache

Cache a Spark Table

tbl_cache: Cache a Spark Table

Description

Usage

Arguments