spark_read_geojson.Rd

% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/spark_read_geojson.R
\name{spark_read_geojson}
\alias{spark_read_geojson}
\title{Reading GeoJSON files}
\usage{
spark_read_geojson(sc, name, path, magellanIndex = TRUE,
  magellanIndexPrecision = 30L, ...)
}
\arguments{
\item{sc}{\code{\link[sparklyr]{spark_connection}} provided by sparklyr.}

\item{name}{The name to assign to the newly generated table (see also
\code{\link[sparklyr]{spark_read_source}}).}

\item{path}{The path to the GeoJSON file. This may be a local path or
an HDFS path.}

\item{magellanIndex}{\code{logical} specifying whether geometries should
be indexed when loading the data (see
\url{https://github.com/harsha2010/magellan#creating-indexes-while-loading-data}).
Indexing creates an additional column called "index" which holds the list of
ZOrder curves of the given precision (see argument \code{magellanIndexPrecision}).
Defaults to \code{TRUE}.}

\item{magellanIndexPrecision}{\code{integer} specifying the precision to use for creating
the ZOrder curves.}

\item{...}{Additional arguments passed to \code{\link[sparklyr]{spark_read_source}}.}
}
\value{
A \code{tbl_spark} which provides a \code{dplyr}-compatible reference to a
Spark DataFrame.
}
\description{
Imports data from GeoJSON files into Spark DataFrames.
}
\references{
\url{https://github.com/harsha2010/magellan}
\url{http://geojson.org/}
}
\seealso{
\code{\link[sparklyr]{spark_read_source}}
}
\concept{Spark serialization routines}
\keyword{connection}
\keyword{file,}