Source code for sedona.spark.SedonaContext

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import attr
from pyspark.sql import SparkSession

from sedona.spark.register.geo_registrator import PackageImporter
from sedona.spark.utils import KryoSerializer, SedonaKryoRegistrator

try:
    from pyspark.sql.utils import is_remote
except ImportError:

    def is_remote():
        return False


[docs] @attr.s class SedonaContext:
[docs] @classmethod def create(cls, spark: SparkSession) -> SparkSession: """ This is the core of whole package, It uses py4j to run wrapper which takes existing SparkSession and register the core logics of Apache Sedona, for this SparkSession. :param spark: pyspark.sql.SparkSession, spark session instance :return: SedonaContext which is an instance of SparkSession """ spark.sql("SELECT 1 as geom").count() # with Spark Connect there is no local JVM if not is_remote(): PackageImporter.import_jvm_lib(spark._jvm) spark._jvm.SedonaContext.create(spark._jsparkSession, "python") return spark
[docs] @classmethod def builder(cls) -> SparkSession.builder: """ This method adds the basic Sedona configuration to the SparkSession builder. Usually the user does not need to call this method directly, as it is configured when a cluster is created. This method is needed when the user wants to manually configure Sedona :return: SparkSession.builder """ return SparkSession.builder.config( "spark.serializer", KryoSerializer.getName ).config("spark.kryo.registrator", SedonaKryoRegistrator.getName)