sedona_save_spatial_rdd: Save a Spark dataframe containing exactly 1 spatial column...
In r-spark/sparklyr.sedona: Sparklyr Extension for Apache Sedona

Description Usage Arguments See Also Examples

Export serialized data from a Spark dataframe containing exactly 1 spatial column into a file.

sedona_save_spatial_rdd(
  x,
  spatial_col,
  output_location,
  output_format = c("wkb", "wkt", "geojson")
)

`x`	A Spark dataframe object in sparklyr or a dplyr expression representing a Spark SQL query.
`spatial_col`	The name of the spatial column.
`output_location`	Location of the output file.
`output_format`	Format of the output.

Other Sedona data inferface functions: sedona_read_dsv_to_typed_rdd(), sedona_read_geojson_to_typed_rdd(), sedona_read_geojson(), sedona_read_shapefile(), sedona_read_wkb(), sedona_read_wkt(), sedona_write_geojson(), sedona_write_wkb(), sedona_write_wkt()

library(sparklyr)
library(sparklyr.sedona)

sc <- spark_connect(master = "spark://HOST:PORT")

if (!inherits(sc, "test_connection")) {
  tbl <- dplyr::tbl(
    sc,
    dplyr::sql("SELECT ST_GeomFromText('POINT(-71.064544 42.28787)') AS `pt`")
  )
  sedona_save_spatial_rdd(
    tbl %>% dplyr::mutate(id = 1),
    spatial_col = "pt",
    output_location = "/tmp/pts.wkb",
    output_format = "wkb"
  )
}