Packages

object Adapter

Adapter for converting between DataFrame and SpatialRDD. It provides methods to convert DataFrame to SpatialRDD and vice versa. The schema information is lost during conversion. It is different from org.apache.spark.sql.sedona_sql.adapters.StructuredAdapter which does not lose the schema information during conversion. This should be used if your data starts as a SpatialRDD and you want to convert it to DataFrame.

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  16. def toDf(spatialPairRDD: JavaPairRDD[Geometry, Geometry], schema: StructType, sparkSession: SparkSession): DataFrame

    Convert a JavaPairRDD to DataFrame with a specified schema.

    Convert a JavaPairRDD to DataFrame with a specified schema.

    The schema is expected to follow the format: [left geometry, (left user data columns), right geometry, (right user data columns)]

    Note that the schema _must_ provide columns for left and right user data, even if they do not exist in the original data.

    Also note that some complex types, such as MapType, and schemas as strings are not supported.

    schema

    Desired output schema

    sparkSession

    Spark session

    returns

    Spatial pair RDD as a DataFrame with the desired schema

  17. def toDf(spatialPairRDD: JavaPairRDD[Geometry, Geometry], leftFieldnames: Seq[String], rightFieldNames: Seq[String], sparkSession: SparkSession): DataFrame
  18. def toDf(spatialPairRDD: JavaPairRDD[Geometry, Geometry], sparkSession: SparkSession): DataFrame
  19. def toDf[T <: Geometry](spatialRDD: SpatialRDD[T], schema: StructType, sparkSession: SparkSession): DataFrame

    Convert a spatial RDD to DataFrame with a given schema.

    Convert a spatial RDD to DataFrame with a given schema.

    T

    Geometry

    spatialRDD

    Spatial RDD

    schema

    Desired schema

    sparkSession

    Spark Session

    returns

    DataFrame with the specified schema

  20. def toDf[T <: Geometry](spatialRDD: SpatialRDD[T], fieldNames: Seq[String], sparkSession: SparkSession): DataFrame
  21. def toDf[T <: Geometry](spatialRDD: SpatialRDD[T], sparkSession: SparkSession): DataFrame
  22. def toSpatialRdd(dataFrame: DataFrame, geometryColId: Int): SpatialRDD[Geometry]

    Convert a Spatial DF to a Spatial RDD.

    Convert a Spatial DF to a Spatial RDD. The geometry column can be at any place in the DF

  23. def toSpatialRdd(dataFrame: DataFrame, geometryColId: Int, fieldNames: Seq[String]): SpatialRDD[Geometry]

    Convert a Spatial DF to a Spatial RDD with a list of user-supplied col names (except geom col).

    Convert a Spatial DF to a Spatial RDD with a list of user-supplied col names (except geom col). The geometry column can be at any place in the DF.

  24. def toSpatialRdd(dataFrame: DataFrame, geometryFieldName: String, fieldNames: Seq[String]): SpatialRDD[Geometry]

    Convert a Spatial DF to a Spatial RDD with a list of user-supplied col names (except geom col).

    Convert a Spatial DF to a Spatial RDD with a list of user-supplied col names (except geom col). The geometry column can be at any place in the DF.

  25. def toSpatialRdd(dataFrame: DataFrame, geometryFieldName: String): SpatialRDD[Geometry]

    Convert a Spatial DF to a Spatial RDD.

    Convert a Spatial DF to a Spatial RDD. The geometry column can be at any place in the DF

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