spark sql context
simple feature type associated with the rows in the relation
spark sql schema (must correspond to the sft)
user parameters, generally for configured the underlying data store and/or caching/partitioning
a push-down geotools filter applied to the relation
an optional cached RDD, used to speed up queries when enabled
an optional spatially partitioned RDD, used to speed up spatial joins when enabled
an optional cached RDD, used to speed up queries when enabled
a push-down geotools filter applied to the relation
Attempts to do an optimized join between two relations.
Attempts to do an optimized join between two relations.
Currently this method uses grid partitioning on both relations so that the join comparisons only need to be applied on each pair of partitions, instead of globally. This only works if both relations have already been grid partitioned.
relation to join
join condition
an optimized join, if possible to do so
user parameters, generally for configured the underlying data store and/or caching/partitioning
an optional spatially partitioned RDD, used to speed up spatial joins when enabled
spark sql schema (must correspond to the sft)
spark sql schema (must correspond to the sft)
simple feature type associated with the rows in the relation
spark sql context
spark sql context
The Spark Relation that builds the scan over the GeoMesa table
spark sql context
simple feature type associated with the rows in the relation
spark sql schema (must correspond to the sft)
user parameters, generally for configured the underlying data store and/or caching/partitioning
a push-down geotools filter applied to the relation
an optional cached RDD, used to speed up queries when enabled
an optional spatially partitioned RDD, used to speed up spatial joins when enabled