Given a Sedona spatial RDD, build the type of index specified on each of its partition(s).
Usage
sedona_build_index(
  rdd,
  type = c("quadtree", "rtree"),
  index_spatial_partitions = TRUE
)Arguments
- rdd
 The spatial RDD to be indexed.
- type
 The type of index to build. Currently "quadtree" and "rtree" are supported.
- index_spatial_partitions
 If the RDD is already partitioned using a spatial partitioner, then index each spatial partition within the RDD instead of partitions within the raw RDD associated with the underlying spatial data source. Default: TRUE. Notice this option is irrelevant if the input RDD has not been partitioned using with a spatial partitioner yet.
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_shapefile_to_typed_rdd(
    sc,
    location = input_location,
    type = "polygon"
  )
  sedona_build_index(rdd, type = "rtree")
}
