def test_spatial_join_query_flat_to_df(self):
poi_point_rdd = WktReader.readToGeometryRDD(self.sc, bank_csv_path, 1,
False, False)
areas_polygon_rdd = WktReader.readToGeometryRDD(
self.sc, areas_csv_path, 1, False, False)
poi_point_rdd.analyze()
areas_polygon_rdd.analyze()
poi_point_rdd.spatialPartitioning(GridType.QUADTREE)
areas_polygon_rdd.spatialPartitioning(poi_point_rdd.getPartitioner())
jvm_sedona_rdd = JoinQueryRaw.SpatialJoinQueryFlat(
poi_point_rdd, areas_polygon_rdd, False, True)
pois_within_areas_with_default_column_names = Adapter.toDf(
jvm_sedona_rdd, self.spark)
assert pois_within_areas_with_default_column_names.count() == 5
pois_within_areas_with_passed_column_names = Adapter.toDf(
jvm_sedona_rdd, ["area_id", "area_name"], ["poi_id", "poi_name"],
self.spark)
assert pois_within_areas_with_passed_column_names.count() == 5
assert pois_within_areas_with_passed_column_names.columns == [
"leftgeometry", "area_id", "area_name", "rightgeometry", "poi_id",
"poi_name"
]
assert pois_within_areas_with_default_column_names.schema == StructType(
[
StructField("leftgeometry", GeometryType()),
StructField("rightgeometry", GeometryType()),
])
left_geometries_raw = pois_within_areas_with_default_column_names. \
selectExpr("ST_AsText(leftgeometry)"). \
collect()
left_geometries = self.__row_to_list(left_geometries_raw)
right_geometries_raw = pois_within_areas_with_default_column_names. \
selectExpr("ST_AsText(rightgeometry)"). \
collect()
right_geometries = self.__row_to_list(right_geometries_raw)
# Ignore the ordering of these
assert set(geom[0] for geom in left_geometries) == set([
'POLYGON ((0 4, -3 3, -8 6, -6 8, -2 9, 0 4))',
'POLYGON ((10 3, 10 6, 14 6, 14 3, 10 3))',
'POLYGON ((2 2, 2 4, 3 5, 7 5, 9 3, 8 1, 4 1, 2 2))',
'POLYGON ((-1 -1, -1 -3, -2 -5, -6 -8, -5 -2, -3 -2, -1 -1))',
'POLYGON ((-1 -1, -1 -3, -2 -5, -6 -8, -5 -2, -3 -2, -1 -1))'
])
assert set(geom[0] for geom in right_geometries) == set([
'POINT (-3 5)', 'POINT (11 5)', 'POINT (4 3)', 'POINT (-1 -1)',
'POINT (-4 -5)'
])
def test_spatial_join_to_spatial_rdd(self):
poi_point_rdd = WktReader.readToGeometryRDD(self.sc, bank_csv_path, 1, False, False)
areas_polygon_rdd = WktReader.readToGeometryRDD(self.sc, areas_csv_path, 1, False, False)
poi_point_rdd.analyze()
areas_polygon_rdd.analyze()
poi_point_rdd.spatialPartitioning(GridType.QUADTREE)
areas_polygon_rdd.spatialPartitioning(poi_point_rdd.getPartitioner())
jvm_sedona_rdd = JoinQueryRaw.spatialJoin(poi_point_rdd, areas_polygon_rdd, JoinParams(considerBoundaryIntersection=True))
sedona_rdd = jvm_sedona_rdd.to_rdd().collect()
assert sedona_rdd.__len__() == 5
def test_spatial_join_query_flat_to_df(self):
poi_point_rdd = WktReader.readToGeometryRDD(self.sc, bank_csv_path, 1, False, False)
areas_polygon_rdd = WktReader.readToGeometryRDD(self.sc, areas_csv_path, 1, False, False)
poi_point_rdd.analyze()
areas_polygon_rdd.analyze()
poi_point_rdd.spatialPartitioning(GridType.QUADTREE)
areas_polygon_rdd.spatialPartitioning(poi_point_rdd.getPartitioner())
jvm_sedona_rdd = JoinQueryRaw.SpatialJoinQueryFlat(
poi_point_rdd, areas_polygon_rdd, False, True)
assert jvm_sedona_rdd.to_rdd().collect().__len__() == 5
def test_range_query_flat_to_df(self):
poi_point_rdd = WktReader.readToGeometryRDD(self.sc, bank_csv_path, 1,
False, False)
poi_point_rdd.analyze()
poi_point_rdd.spatialPartitioning(GridType.QUADTREE)
poi_point_rdd.buildIndex(IndexType.QUADTREE, False)
result = RangeQueryRaw.SpatialRangeQuery(
poi_point_rdd, loads("POLYGON((0 0, 0 20, 20 20, 20 0, 0 0))"),
True, True)
rdd = result.to_rdd()
assert rdd.collect().__len__() == 4
df_without_column_names = Adapter.toDf(result, self.spark)
raw_geometries = self.__row_to_list(df_without_column_names.collect())
assert [point[0].wkt for point in raw_geometries] == [
'POINT (9 8)', 'POINT (4 3)', 'POINT (12 1)', 'POINT (11 5)'
]
assert df_without_column_names.count() == 4
assert df_without_column_names.schema == StructType(
[StructField("geometry", GeometryType())])
df = Adapter.toDf(result, self.spark, ["poi_id", "poi_name"])
assert df.count() == 4
assert df.columns == ["geometry", "poi_id", "poi_name"]
def test_distance_join_query_flat_to_df(self):
poi_point_rdd = WktReader.readToGeometryRDD(self.sc, bank_csv_path, 1, False, False)
circle_rdd = CircleRDD(poi_point_rdd, 2.0)
circle_rdd.analyze()
poi_point_rdd.analyze()
poi_point_rdd.spatialPartitioning(GridType.QUADTREE)
circle_rdd.spatialPartitioning(poi_point_rdd.getPartitioner())
jvm_sedona_rdd = JoinQueryRaw.DistanceJoinQueryFlat(poi_point_rdd, circle_rdd, False, True)
assert jvm_sedona_rdd.to_rdd().collect().__len__() == 10
def test_spatial_join_to_df(self):
poi_point_rdd = WktReader.readToGeometryRDD(self.sc, bank_csv_path, 1,
False, False)
areas_polygon_rdd = WktReader.readToGeometryRDD(
self.sc, areas_csv_path, 1, False, False)
poi_point_rdd.analyze()
areas_polygon_rdd.analyze()
poi_point_rdd.spatialPartitioning(GridType.QUADTREE)
areas_polygon_rdd.spatialPartitioning(poi_point_rdd.getPartitioner())
jvm_sedona_rdd = JoinQueryRaw.spatialJoin(poi_point_rdd,
areas_polygon_rdd,
JoinParams())
sedona_df = Adapter.toDf(jvm_sedona_rdd, ["area_id", "area_name"],
["poi_id", "poi_name"], self.spark)
assert sedona_df.count() == 5
assert sedona_df.columns == [
"leftgeometry", "area_id", "area_name", "rightgeometry", "poi_id",
"poi_name"
]
def test_range_query_flat_to_df(self):
poi_point_rdd = WktReader.readToGeometryRDD(self.sc, bank_csv_path, 1, False, False)
poi_point_rdd.analyze()
poi_point_rdd.spatialPartitioning(GridType.QUADTREE)
poi_point_rdd.buildIndex(IndexType.QUADTREE, False)
result = RangeQueryRaw.SpatialRangeQuery(
poi_point_rdd, loads("POLYGON((0 0, 0 20, 20 20, 20 0, 0 0))"), True, True
)
rdd = result.to_rdd()
assert rdd.collect().__len__() == 4
def test_distance_join_query_flat_to_df(self):
poi_point_rdd = WktReader.readToGeometryRDD(self.sc, bank_csv_path, 1,
False, False)
circle_rdd = CircleRDD(poi_point_rdd, 2.0)
circle_rdd.analyze()
poi_point_rdd.analyze()
poi_point_rdd.spatialPartitioning(GridType.QUADTREE)
circle_rdd.spatialPartitioning(poi_point_rdd.getPartitioner())
jvm_sedona_rdd = JoinQueryRaw.DistanceJoinQueryFlat(
poi_point_rdd, circle_rdd, False, True)
df_sedona_rdd = Adapter.toDf(jvm_sedona_rdd,
["poi_from_id", "poi_from_name"],
["poi_to_id", "poi_to_name"], self.spark)
assert df_sedona_rdd.count() == 10
assert df_sedona_rdd.columns == [
"leftgeometry", "poi_from_id", "poi_from_name", "rightgeometry",
"poi_to_id", "poi_to_name"
]
def test_read_to_geometry_rdd(self):
wkt_geometries = os.path.join(tests_resource, "county_small.tsv")
wkt_rdd = WktReader.readToGeometryRDD(self.sc, wkt_geometries, 0, True,
False)
assert wkt_rdd.rawSpatialRDD.count() == 103
print(wkt_rdd.rawSpatialRDD.collect())