def __init__(self, sparkContext: SparkContext, InputLocation: str,
startOffset: int, endOffset: int, splitter: FileDataSplitter,
carryInputData: bool, newLevel: StorageLevel,
sourceEpsgCRSCode: str, targetEpsgCode: str):
"""
:param sparkContext: SparkContext, the spark context
:param InputLocation: str, the input location
:param startOffset:
:param endOffset:
:param splitter: FileDataSplitter, File data splitter which should be used to split the data
:param carryInputData:
:param newLevel:
:param sourceEpsgCRSCode: str, the source epsg CRS code
:param targetEpsgCode: str, the target epsg code
"""
super().__init__(sparkContext)
jvm_splitter = FileSplitterJvm(self._jvm, splitter).jvm_instance
new_level_jvm = JvmStorageLevel(self._jvm, newLevel).jvm_instance
self._srdd = self._jvm_spatial_rdd(self._jsc, InputLocation,
startOffset, endOffset,
jvm_splitter, carryInputData,
new_level_jvm, sourceEpsgCRSCode,
targetEpsgCode)
def __init__(self, sparkContext: SparkContext, InputLocation: str,
startOffset: int, endOffset: int, splitter: FileDataSplitter,
carryInputData: bool, newLevel: StorageLevel,
sourceEpsgCRSCode: str, targetEpsgCode: str):
"""
:param sparkContext: SparkContext instance
:param InputLocation: str, location for loaded file
:param startOffset: int, starting offset
:param endOffset: int, ending offset
:param splitter: FileDataSplitter, data file splitter
:param carryInputData: bool, if spatial rdd should keep non geometry attributes
:param newLevel: StorageLevel
:param sourceEpsgCRSCode: str, epsg code which loaded files is in, ex. epsg:4326 stands for WGS84
:param targetEpsgCode: str, epsg code to transform SpatialRDD
"""
super().__init__(sparkContext)
jvm_splitter = FileSplitterJvm(self._jvm, splitter).jvm_instance
new_level_jvm = JvmStorageLevel(self._jvm, newLevel).jvm_instance
self._srdd = self._jvm_spatial_rdd(self._jsc, InputLocation,
startOffset, endOffset,
jvm_splitter, carryInputData,
new_level_jvm, sourceEpsgCRSCode,
targetEpsgCode)
def __init__(self, rdd: RDD, newLevel: StorageLevel):
super().__init__(rdd.ctx)
spatial_rdd = self._jvm.GeoSerializerData.deserializeToPolygonRawRDD(
rdd._jrdd)
new_level_jvm = JvmStorageLevel(self._jvm, newLevel).jvm_instance
srdd = self._jvm_spatial_rdd(spatial_rdd, new_level_jvm)
self._srdd = srdd
def __init__(self, rawSpatialRDD: JvmSpatialRDD, newLevel: StorageLevel):
"""
:param rawSpatialRDD: RDD
:param newLevel: StorageLevel
"""
super().__init__(rawSpatialRDD.sc)
jsrdd = rawSpatialRDD.jsrdd
new_level_jvm = JvmStorageLevel(self._jvm, newLevel).jvm_instance
self._srdd = self._jvm_spatial_rdd(jsrdd, new_level_jvm)
def __init__(self, rdd: RDD, newLevel: StorageLevel):
super().__init__(rdd.ctx)
spatial_rdd = PythonRddToJavaRDDAdapter(
self._jvm).deserialize_to_polygon_raw_rdd(rdd._jrdd)
new_level_jvm = JvmStorageLevel(self._jvm, newLevel).jvm_instance
srdd = self._jvm_spatial_rdd(spatial_rdd, new_level_jvm)
self._srdd = srdd
def __init__(self, rdd: RDD, newLevel: StorageLevel):
self._sc = rdd.ctx
self._jvm = self._sc._jvm
spatial_rdd = self._jvm.GeoSerializerData.deserializeToLineStringRawRDD(
rdd._jrdd)
new_level_jvm = JvmStorageLevel(self._jvm, newLevel).jvm_instance
srdd = self._jvm_spatial_rdd(spatial_rdd, new_level_jvm)
self._srdd = srdd
def __init__(self, rdd: RDD, newLevel: StorageLevel):
self._sc = rdd.ctx
self._jvm = self._sc._jvm
spatial_rdd = PythonRddToJavaRDDAdapter(
self._jvm).deserialize_to_linestring_raw_rdd(rdd._jrdd)
new_level_jvm = JvmStorageLevel(self._jvm, newLevel).jvm_instance
srdd = self._jvm_spatial_rdd(spatial_rdd, new_level_jvm)
self._srdd = srdd
def __init__(self, rawSpatialRDD: JvmSpatialRDD, newLevel: StorageLevel,
sourceEpsgCRSCode: str, targetEpsgCode: str):
"""
:param rawSpatialRDD: JvmSpatialRDD, jvm representation of spatial rdd
:param newLevel: StorageLevel
:param sourceEpsgCRSCode: str, epsg code which loaded files is in, ex. epsg:4326 stands for WGS84
:param targetEpsgCode: str, epsg code to transform SpatialRDD
"""
super().__init__(rawSpatialRDD.sc)
jsrdd = rawSpatialRDD.jsrdd
new_level_jvm = JvmStorageLevel(self._jvm, newLevel).jvm_instance
self._srdd = self._jvm_spatial_rdd(jsrdd, new_level_jvm,
sourceEpsgCRSCode, targetEpsgCode)
def __init__(self, rawSpatialRDD: JvmSpatialRDD, newLevel: StorageLevel,
sourceEpsgCRSCode: str, targetEpsgCode: str):
"""
:param rawSpatialRDD:
:param newLevel:
:param sourceEpsgCRSCode:
:param targetEpsgCode:
"""
super().__init__(rawSpatialRDD.sc)
jsrdd = rawSpatialRDD.jsrdd
new_level_jvm = JvmStorageLevel(self._jvm, newLevel).jvm_instance
self._srdd = self._jvm_spatial_rdd(jsrdd, new_level_jvm,
sourceEpsgCRSCode, targetEpsgCode)
def __init__(self, sparkContext: SparkContext, InputLocation: str,
splitter: FileDataSplitter, carryInputData: bool,
newLevel: StorageLevel):
"""
:param sparkContext: SparkContext instance
:param InputLocation: str, location for loaded file
:param splitter: FileDataSplitter, data file splitter
:param carryInputData: bool, if spatial rdd should keep non geometry attributes
:param newLevel: StorageLevel
"""
super().__init__(sparkContext)
jvm_splitter = FileSplitterJvm(self._jvm, splitter).jvm_instance
new_level_jvm = JvmStorageLevel(self._jvm, newLevel).jvm_instance
self._srdd = self._jvm_spatial_rdd(self._jsc, InputLocation,
jvm_splitter, carryInputData,
new_level_jvm)
def __init__(self, sparkContext: SparkContext, InputLocation: str,
splitter: FileDataSplitter, carryInputData: bool,
newLevel: StorageLevel):
"""
:param sparkContext: SparkContext, the spark context
:param InputLocation: str, the input location
:param splitter: FileDataSplitter, File data splitter which should be used to split the data
:param carryInputData:
:param newLevel:
"""
super().__init__(sparkContext)
jvm_splitter = FileSplitterJvm(self._jvm, splitter)
new_level_jvm = JvmStorageLevel(self._jvm, newLevel).jvm_instance
self._srdd = self._jvm_spatial_rdd(self._jsc, InputLocation,
jvm_splitter.jvm_instance,
carryInputData, new_level_jvm)
def __init__(self, sparkContext: SparkContext, InputLocation: str,
startOffset: int, endOffset: int, splitter: FileDataSplitter,
carryInputData: bool, partitions: int,
newLevel: StorageLevel):
"""
:param sparkContext: SparkContext instance
:param InputLocation: str, location for loaded file
:param startOffset: int, starting offset
:param endOffset: int, ending offset
:param splitter: FileDataSplitter, data file splitter
:param carryInputData: bool, if spatial rdd should keep non geometry attributes
:param partitions: int, number of partitions
:param newLevel: StorageLevel
"""
super().__init__(sparkContext)
self._srdd = self._jvm_spatial_rdd(
self._jsc, InputLocation, startOffset, endOffset,
FileSplitterJvm(self._jvm, splitter).jvm_instance, carryInputData,
partitions,
JvmStorageLevel(self._jvm, newLevel).jvm_instance)
def persist(self, storage_level: StorageLevel):
new_jsrdd = self.jsrdd.persist(
JvmStorageLevel(self.sc._jvm, storage_level).jvm_instance)
self.jsrdd = new_jsrdd