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import attr
from py4j.java_gateway import java_import
from pyspark.sql import SparkSession
from sedona.spark.core.jvm.config import deprecated
from sedona.spark.register.java_libs import SedonaJvmLib
from sedona.spark.utils.prep import assign_all
assign_all()
jvm_import = str
[docs]
@attr.s
class SedonaRegistrator:
[docs]
@classmethod
@deprecated("Deprecated since 1.4.1, use SedonaContext.create() instead.")
def registerAll(cls, spark: SparkSession) -> bool:
"""
This is the core of whole package, It uses py4j to run wrapper which takes existing SparkSession
and register all User Defined Functions by Apache Sedona developers, for this SparkSession.
:param spark: pyspark.sql.SparkSession, spark session instance
:return: bool, True if registration was correct.
"""
spark.sql("SELECT 1 as geom").count()
PackageImporter.import_jvm_lib(spark._jvm)
cls.register(spark)
return True
[docs]
@classmethod
@deprecated("Deprecated since 1.4.1, use SedonaContext.create() instead.")
def register(cls, spark: SparkSession):
return spark._jvm.SedonaSQLRegistrator.registerAll(spark._jsparkSession)
[docs]
class PackageImporter:
[docs]
@staticmethod
def import_jvm_lib(jvm) -> bool:
from sedona.spark.core.utils import ImportedJvmLib
"""
Imports all the specified methods and functions in jvm
:param jvm: Jvm gateway from py4j
:return:
"""
for lib in SedonaJvmLib:
java_import(jvm, lib.value)
ImportedJvmLib.import_lib(lib.name)
return True