gregleleu commented on code in PR #770:
URL: https://github.com/apache/sedona/pull/770#discussion_r1109092384
##########
R/R/data_interface.R:
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@@ -439,6 +439,52 @@ sedona_read_shapefile <- function(sc,
new_spatial_rdd(NULL)
}
+
+#' Read a geoparquet file into a Spark DataFrame.
+#' Read a geoparquet file into a Spark DataFrame. The created dataframe is
automatically registered.
+#'
+#' @param sc A \code{spark_connection}.
+#' @param location Location of the data source.
+#' @param name The name to assign to the newly generated table.
+#'
+#'
+#' @return A SpatialRDD.
+#'
+#' @examples
+#' library(sparklyr)
+#' library(apache.sedona)
+#'
+#' sc <- spark_connect(master = "spark://HOST:PORT")
+#'
+#' if (!inherits(sc, "test_connection")) {
+#' input_location <- "/dev/null" # replace it with the path to your input
file
+#' rdd <- sedona_read_geoparquet(sc, location = input_location)
+#' }
+#'
+#' @family Sedona data interface functions
+#'
+#' @export
+sedona_read_geoparquet <- function(sc,
Review Comment:
Regarding the Geotiff: I started working on it. Reading the geotiff works
fine.
There is one complexity given the created dataframe is a nested object.
There is a package to help with that case: `sparklyr.nested`. I'll need more
time to figure out whether we need to list it as a dependency or just suggest
its use. And if it is required for the testing.
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