def test_spatial_join_query_with_polygon_rdd_using_index(self):
query_rdd = PolygonRDD(self.sc, input_location_query_polygon, splitter,
True, num_partitions, StorageLevel.MEMORY_ONLY,
"epsg:4326", "epsg:3005")
spatial_rdd = PointRDD(self.sc, input_location, offset, splitter, True,
num_partitions, StorageLevel.MEMORY_ONLY,
"epsg:4326", "epsg:3005")
query_rdd.analyze()
spatial_rdd.analyze()
spatial_rdd.spatialPartitioning(grid_type)
spatial_rdd.buildIndex(IndexType.RTREE, True)
query_rdd.spatialPartitioning(spatial_rdd.getPartitioner())
result = JoinQuery.SpatialJoinQuery(spatial_rdd, query_rdd, False,
True).collect()
assert result[1][0].getUserData() is not None
for data in result:
if data[1].__len__() != 0:
for right_data in data[1]:
assert right_data.getUserData() is not None
def test_build_index_without_set_grid(self):
spatial_rdd = PolygonRDD(self.sc,
input_location,
FileDataSplitter.CSV,
carryInputData=True,
partitions=num_partitions,
newLevel=StorageLevel.MEMORY_ONLY)
spatial_rdd.analyze()
spatial_rdd.buildIndex(IndexType.RTREE, False)
def test_creating_polygon_rdd(self):
polygon_rdd = PolygonRDD(self.spark._sc, counties_path, 2, 3,
FileDataSplitter.WKT, True)
polygon_rdd.analyze()
cnt = polygon_rdd.countWithoutDuplicates()
assert cnt == 407, f"Polygon RDD should have 407 but found {cnt}"
def test_geojson_to_dataframe(self):
spatial_rdd = PolygonRDD(self.spark.sparkContext,
geojson_input_location,
FileDataSplitter.GEOJSON, True)
spatial_rdd.analyze()
Adapter.toDf(spatial_rdd, self.spark).show()
df = Adapter.toDf(spatial_rdd, self.spark)
assert (df.columns[1] == "STATEFP")
def test_geojson_to_dataframe(self):
spatial_rdd = PolygonRDD(self.spark.sparkContext,
geojson_input_location,
FileDataSplitter.GEOJSON, True)
spatial_rdd.analyze()
df = Adapter.toDf(spatial_rdd, self.spark).\
withColumn("geometry", expr("ST_GeomFromWKT(geometry)"))
df.show()
assert (df.columns[1] == "STATEFP")
def test_wkb_constructor(self):
spatial_rdd = PolygonRDD(sparkContext=self.sc,
InputLocation=input_location_wkb,
splitter=FileDataSplitter.WKB,
carryInputData=True,
newLevel=StorageLevel.MEMORY_ONLY)
spatial_rdd.analyze()
assert spatial_rdd.approximateTotalCount == 103
assert spatial_rdd.boundaryEnvelope is not None
assert spatial_rdd.rawSpatialRDD.take(1)[0].getUserData(
) == "31\t039\t00835841\t31039\tCuming\tCuming County\t06\tH1\tG4020\t\t\t\tA\t1477895811\t10447360\t+41.9158651\t-096.7885168"
def test_load_id_column_data_check(self):
spatial_rdd = PolygonRDD(self.spark.sparkContext,
geojson_id_input_location,
FileDataSplitter.GEOJSON, True)
spatial_rdd.analyze()
df = Adapter.toDf(spatial_rdd, self.spark)
df.show()
try:
assert df.columns.__len__() == 3
except AssertionError:
assert df.columns.__len__() == 4
assert df.count() == 1
def test_voronoi_spatial_partitioning(self):
spatial_rdd = PolygonRDD(sparkContext=self.sc,
InputLocation=input_location,
splitter=FileDataSplitter.CSV,
carryInputData=True,
partitions=10,
newLevel=StorageLevel.MEMORY_ONLY)
spatial_rdd.analyze()
spatial_rdd.spatialPartitioning(GridType.VORONOI)
for envelope in spatial_rdd.grids:
print(envelope)
def test_hilbert_curve_spatial_partitioning(self):
spatial_rdd = PolygonRDD(sparkContext=self.sc,
InputLocation=input_location,
splitter=splitter,
carryInputData=True,
partitions=10,
newLevel=StorageLevel.MEMORY_ONLY)
spatial_rdd.analyze()
spatial_rdd.spatialPartitioning(GridType.HILBERT)
for envelope in spatial_rdd.grids:
print(envelope)
def test_empty_constructor(self):
spatial_rdd = PolygonRDD(sparkContext=self.sc,
InputLocation=input_location,
splitter=splitter,
carryInputData=True,
partitions=num_partitions,
newLevel=StorageLevel.MEMORY_ONLY)
spatial_rdd.analyze()
spatial_rdd.spatialPartitioning(grid_type)
spatial_rdd.buildIndex(IndexType.RTREE, True)
spatial_rdd_copy = PolygonRDD()
spatial_rdd_copy.rawJvmSpatialRDD = spatial_rdd.rawJvmSpatialRDD
spatial_rdd_copy.analyze()
def test_geojson_constructor(self):
spatial_rdd = PolygonRDD(
sparkContext=self.sc,
InputLocation=input_location_geo_json,
splitter=FileDataSplitter.GEOJSON,
carryInputData=True,
partitions=4,
newLevel=StorageLevel.MEMORY_ONLY
)
spatial_rdd.analyze()
assert spatial_rdd.approximateTotalCount == 1001
assert spatial_rdd.boundaryEnvelope is not None
assert spatial_rdd.rawSpatialRDD.take(1)[0].getUserData() == "01\t077\t011501\t5\t1500000US010770115015\t010770115015\t5\tBG\t6844991\t32636"
assert spatial_rdd.rawSpatialRDD.take(2)[1].getUserData() == "01\t045\t021102\t4\t1500000US010450211024\t010450211024\t4\tBG\t11360854\t0"
assert spatial_rdd.fieldNames == ["STATEFP", "COUNTYFP", "TRACTCE", "BLKGRPCE", "AFFGEOID", "GEOID", "NAME", "LSAD", "ALAND", "AWATER"]
def test_to_df_srdd_fn_spark(self):
spatial_rdd = PolygonRDD(self.spark.sparkContext,
geojson_input_location,
FileDataSplitter.GEOJSON, True)
spatial_rdd.analyze()
assert spatial_rdd.approximateTotalCount == 1001
spatial_columns = [
"state_id", "county_id", "tract_id", "bg_id", "fips", "fips_short",
"bg_nr", "type", "code1", "code2"
]
spatial_df = Adapter.toDf(spatial_rdd, spatial_columns, self.spark)
spatial_df.show()
assert spatial_df.columns == ["geometry", *spatial_columns]
assert spatial_df.count() == 1001
def test_constructor(self):
spatial_rdd_core = PolygonRDD(
sparkContext=self.sc,
InputLocation=input_location,
splitter=splitter,
carryInputData=True,
partitions=num_partitions,
newLevel=StorageLevel.MEMORY_ONLY
)
self.compare_spatial_rdd(spatial_rdd_core, input_boundary)
spatial_rdd_core = PolygonRDD(
self.sc,
input_location,
splitter,
True,
num_partitions,
StorageLevel.MEMORY_ONLY
)
self.compare_spatial_rdd(spatial_rdd_core, input_boundary)
spatial_rdd = PolygonRDD(rawSpatialRDD=spatial_rdd_core.rawJvmSpatialRDD)
self.compare_spatial_rdd(spatial_rdd, input_boundary)
spatial_rdd = PolygonRDD(spatial_rdd_core.rawJvmSpatialRDD, "epsg:4326", "epsg:5070")
self.compare_spatial_rdd(spatial_rdd, query_envelope)
assert spatial_rdd.getSourceEpsgCode() == "epsg:4326"
assert spatial_rdd.getTargetEpsgCode() == "epsg:5070"
spatial_rdd = PolygonRDD(rawSpatialRDD=spatial_rdd_core.rawJvmSpatialRDD, sourceEpsgCode="epsg:4326", targetEpsgCode="epsg:5070")
assert spatial_rdd.getSourceEpsgCode() == "epsg:4326"
assert spatial_rdd.getTargetEpsgCode() == "epsg:5070"
self.compare_spatial_rdd(spatial_rdd, query_envelope)
spatial_rdd = PolygonRDD(rawSpatialRDD=spatial_rdd.rawJvmSpatialRDD, newLevel=StorageLevel.MEMORY_ONLY)
self.compare_spatial_rdd(spatial_rdd, query_envelope)
spatial_rdd = PolygonRDD(spatial_rdd_core.rawJvmSpatialRDD, StorageLevel.MEMORY_ONLY)
self.compare_spatial_rdd(spatial_rdd, input_boundary)
spatial_rdd = PolygonRDD()
query_window_rdd = PolygonRDD(
self.sc,
polygon_rdd_input_location,
polygon_rdd_start_offset,
polygon_rdd_end_offset,
polygon_rdd_splitter,
True,
2
)
assert query_window_rdd.analyze()
assert query_window_rdd.approximateTotalCount == 3000
query_window_rdd = PolygonRDD(
self.sc,
polygon_rdd_input_location,
polygon_rdd_start_offset,
polygon_rdd_end_offset,
polygon_rdd_splitter,
True
)
assert query_window_rdd.analyze()
assert query_window_rdd.approximateTotalCount == 3000
spatial_rdd_core = PolygonRDD(
self.sc,
input_location,
splitter,
True,
num_partitions
)
self.compare_spatial_rdd(spatial_rdd_core, input_boundary)
spatial_rdd_core = PolygonRDD(
self.sc,
input_location,
splitter,
True
)
self.compare_spatial_rdd(spatial_rdd_core, input_boundary)
query_window_rdd = PolygonRDD(
self.sc,
polygon_rdd_input_location,
polygon_rdd_start_offset,
polygon_rdd_end_offset,
polygon_rdd_splitter,
True,
5,
StorageLevel.MEMORY_ONLY
)
assert query_window_rdd.analyze()
assert query_window_rdd.approximateTotalCount == 3000
query_window_rdd = PolygonRDD(
self.sc,
polygon_rdd_input_location,
polygon_rdd_start_offset,
polygon_rdd_end_offset,
polygon_rdd_splitter,
True,
StorageLevel.MEMORY_ONLY
)
assert query_window_rdd.analyze()
assert query_window_rdd.approximateTotalCount == 3000
spatial_rdd_core = PolygonRDD(
self.sc,
input_location,
splitter,
True,
5,
StorageLevel.MEMORY_ONLY
)
self.compare_spatial_rdd(spatial_rdd_core, input_boundary)
spatial_rdd_core = PolygonRDD(
self.sc,
input_location,
splitter,
True,
StorageLevel.MEMORY_ONLY
)
self.compare_spatial_rdd(spatial_rdd_core, input_boundary)
spatial_rdd = PolygonRDD(
spatial_rdd_core.rawJvmSpatialRDD, StorageLevel.MEMORY_ONLY, "epsg:4326", "epsg:5070"
)
self.compare_spatial_rdd(spatial_rdd, query_envelope)
query_window_rdd = PolygonRDD(
self.sc,
polygon_rdd_input_location,
polygon_rdd_start_offset,
polygon_rdd_end_offset,
polygon_rdd_splitter,
True,
5,
StorageLevel.MEMORY_ONLY,
"epsg:4326",
"epsg:5070"
)
assert query_window_rdd.analyze()
assert query_window_rdd.approximateTotalCount == 3000
query_window_rdd = PolygonRDD(
self.sc,
polygon_rdd_input_location,
polygon_rdd_start_offset,
polygon_rdd_end_offset,
polygon_rdd_splitter,
True,
StorageLevel.MEMORY_ONLY,
"epsg:4326",
"epsg:5070"
)
assert query_window_rdd.analyze()
assert query_window_rdd.approximateTotalCount == 3000
spatial_rdd_core = PolygonRDD(
self.sc,
input_location,
splitter,
True,
5,
StorageLevel.MEMORY_ONLY,
"epsg:4326",
"epsg:5070"
)
self.compare_spatial_rdd(spatial_rdd_core, query_envelope)
spatial_rdd_core = PolygonRDD(
self.sc,
input_location,
splitter,
True,
StorageLevel.MEMORY_ONLY,
"epsg:4326",
"epsg:5070"
)
spatial_rdd_core = PolygonRDD(
sparkContext=self.sc,
InputLocation=input_location,
splitter=splitter,
carryInputData=True,
newLevel=StorageLevel.MEMORY_ONLY,
sourceEpsgCRSCode="epsg:4326",
targetEpsgCode="epsg:5070"
)
self.compare_spatial_rdd(spatial_rdd_core, query_envelope)
