def test_meta(self):
assert not compare_versions("1.2.0", "1.1.5")
assert compare_versions("1.3.5", "1.2.0")
assert not compare_versions("", "1.2.0")
assert not compare_versions("1.3.5", "")
GeoSparkMeta.version = "1.2.0"
assert GeoSparkMeta.version == "1.2.0"
GeoSparkMeta.version = "1.3.0"
assert GeoSparkMeta.version == "1.3.0"
def test_read_to_geometry_rdd_invalid_syntax(self):
if compare_versions(GeoSparkMeta.version, "1.2.0"):
geojson_rdd = GeoJsonReader.readToGeometryRDD(
self.sc, geo_json_with_invalid_geom_with_feature_property,
False, True)
assert geojson_rdd.rawSpatialRDD.count() == 1
def test_shape_file_end_with_undefined_type(self):
shape_rdd = ShapefileReader.readToGeometryRDD(
sc=self.sc, inputPath=undefined_type_shape_location)
if compare_versions(GeoSparkMeta.version, "1.2.0"):
assert shape_rdd.fieldNames == [
'LGA_CODE16', 'LGA_NAME16', 'STE_CODE16', 'STE_NAME16',
'AREASQKM16'
]
assert shape_rdd.getRawSpatialRDD().count() == 545
def test_read_to_geometry_rdd(self):
if compare_versions(GeoSparkMeta.version, "1.2.0"):
geo_json_rdd = GeoJsonReader.readToGeometryRDD(
self.sc, geo_json_geom_with_feature_property)
assert geo_json_rdd.rawSpatialRDD.count() == 1001
geo_json_rdd = GeoJsonReader.readToGeometryRDD(
self.sc, geo_json_geom_without_feature_property)
assert geo_json_rdd.rawSpatialRDD.count() == 10
def test_read_to_include_id_rdd(self):
if compare_versions(GeoSparkMeta.version, "1.2.0"):
geo_json_rdd = GeoJsonReader.readToGeometryRDD(
self.sc, geo_json_contains_id, True, False)
geo_json_rdd = GeoJsonReader.readToGeometryRDD(
sc=self.sc,
inputPath=geo_json_contains_id,
allowInvalidGeometries=True,
skipSyntacticallyInvalidGeometries=False)
assert geo_json_rdd.rawSpatialRDD.count() == 1
try:
assert geo_json_rdd.fieldNames.__len__() == 2
except AssertionError:
assert geo_json_rdd.fieldNames.__len__() == 3
class TestAdapter(TestBase):
def test_read_csv_point_into_spatial_rdd(self):
df = self.spark.read.\
format("csv").\
option("delimiter", "\t").\
option("header", "false").\
load(area_lm_point_input_location)
df.show()
df.createOrReplaceTempView("inputtable")
spatial_df = self.spark.sql(
"select ST_PointFromText(inputtable._c0,\",\") as arealandmark from inputtable"
)
spatial_df.show()
spatial_df.printSchema()
spatial_rdd = Adapter.toSpatialRdd(spatial_df, "arealandmark")
spatial_rdd.analyze()
Adapter.toDf(spatial_rdd, self.spark).show()
@pytest.mark.skipif(compare_versions(version, "1.3.0"),
reason="Depreciated after spark 1.2.0")
def test_read_csv_point_into_spatial_rdd_by_passing_coordinates(self):
df = self.spark.read.format("csv").\
option("delimiter", ",").\
option("header", "false").\
load(area_lm_point_input_location)
df.show()
df.createOrReplaceTempView("inputtable")
spatial_df = self.spark.sql(
"select ST_Point(cast(inputtable._c0 as Decimal(24,20)),cast(inputtable._c1 as Decimal(24,20))) as arealandmark from inputtable"
)
spatial_df.show()
spatial_df.printSchema()
spatial_rdd = SpatialRDD(self.spark.sparkContext)
spatial_rdd.rawJvmSpatialRDD = Adapter.toRdd(spatial_df)
spatial_rdd.analyze()
assert (Adapter.toDf(spatial_rdd, self.spark).columns.__len__() == 1)
Adapter.toDf(spatial_rdd, self.spark).show()
@pytest.mark.skipif(compare_versions(version, "1.3.0"),
reason="Depreciated after spark 1.2.0")
def test_read_csv_point_into_spatial_rdd_with_unique_id_by_passing_coordinates(
self):
df = self.spark.read.format("csv").\
option("delimiter", ",").\
option("header", "false").\
load(area_lm_point_input_location)
df.show()
df.createOrReplaceTempView("inputtable")
spatial_df = self.spark.sql(
"select ST_Point(cast(inputtable._c0 as Decimal(24,20)),cast(inputtable._c1 as Decimal(24,20))) as arealandmark from inputtable"
)
spatial_df.show()
spatial_df.printSchema()
spatial_rdd = SpatialRDD(self.spark.sparkContext)
spatial_rdd.rawJvmSpatialRDD = Adapter.toRdd(spatial_df)
spatial_rdd.analyze()
assert (Adapter.toDf(spatial_rdd, self.spark).columns.__len__() == 1)
Adapter.toDf(spatial_rdd, self.spark).show()
def test_read_mixed_wkt_geometries_into_spatial_rdd(self):
df = self.spark.read.format("csv").\
option("delimiter", "\t").\
option("header", "false").load(mixed_wkt_geometry_input_location)
df.show()
df.createOrReplaceTempView("inputtable")
spatial_df = self.spark.sql(
"select ST_GeomFromWKT(inputtable._c0) as usacounty from inputtable"
)
spatial_df.show()
spatial_df.printSchema()
spatial_rdd = Adapter.toSpatialRdd(spatial_df)
spatial_rdd.analyze()
Adapter.toDf(spatial_rdd, self.spark).show()
assert (Adapter.toDf(spatial_rdd, self.spark).columns.__len__() == 1)
Adapter.toDf(spatial_rdd, self.spark).show()
def test_read_mixed_wkt_geometries_into_spatial_rdd_with_unique_id(self):
df = self.spark.read.format("csv").\
option("delimiter", "\t").\
option("header", "false").\
load(mixed_wkt_geometry_input_location)
df.show()
df.createOrReplaceTempView("inputtable")
spatial_df = self.spark.sql(
"select ST_GeomFromWKT(inputtable._c0) as usacounty, inputtable._c3, inputtable._c5 from inputtable"
)
spatial_df.show()
spatial_df.printSchema()
spatial_rdd = Adapter.toSpatialRdd(spatial_df, "usacounty")
spatial_rdd.analyze()
assert (Adapter.toDf(spatial_rdd, self.spark).columns.__len__() == 3)
Adapter.toDf(spatial_rdd, self.spark).show()
def test_read_shapefile_to_dataframe(self):
spatial_rdd = ShapefileReader.readToGeometryRDD(
self.spark.sparkContext, shape_file_input_location)
spatial_rdd.analyze()
logging.info(spatial_rdd.fieldNames)
df = Adapter.toDf(spatial_rdd, self.spark)
df.show()
def test_read_shapefile_with_missing_to_dataframe(self):
spatial_rdd = ShapefileReader.\
readToGeometryRDD(self.spark.sparkContext, shape_file_with_missing_trailing_input_location)
spatial_rdd.analyze()
logging.info(spatial_rdd.fieldNames)
df = Adapter.toDf(spatial_rdd, self.spark)
df.show()
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_convert_spatial_join_result_to_dataframe(self):
polygon_wkt_df = self.spark.read.format("csv").option(
"delimiter",
"\t").option("header",
"false").load(mixed_wkt_geometry_input_location)
polygon_wkt_df.createOrReplaceTempView("polygontable")
polygon_df = self.spark.sql(
"select ST_GeomFromWKT(polygontable._c0) as usacounty from polygontable"
)
polygon_rdd = Adapter.toSpatialRdd(polygon_df, "usacounty")
polygon_rdd.analyze()
point_csv_df = self.spark.read.format("csv").option(
"delimiter",
",").option("header", "false").load(area_lm_point_input_location)
point_csv_df.createOrReplaceTempView("pointtable")
point_df = self.spark.sql(
"select ST_Point(cast(pointtable._c0 as Decimal(24,20)),cast(pointtable._c1 as Decimal(24,20))) as arealandmark from pointtable"
)
point_rdd = Adapter.toSpatialRdd(point_df, "arealandmark")
point_rdd.analyze()
point_rdd.spatialPartitioning(GridType.QUADTREE)
polygon_rdd.spatialPartitioning(point_rdd.getPartitioner())
point_rdd.buildIndex(IndexType.QUADTREE, True)
join_result_point_rdd = JoinQuery.\
SpatialJoinQueryFlat(point_rdd, polygon_rdd, True, True)
join_result_df = Adapter.toDf(join_result_point_rdd, self.spark)
join_result_df.show()
join_result_df2 = Adapter.toDf(join_result_point_rdd, ["abc", "def"],
list(), self.spark)
join_result_df2.show()
def test_distance_join_result_to_dataframe(self):
point_csv_df = self.spark.\
read.\
format("csv").\
option("delimiter", ",").\
option("header", "false").load(
area_lm_point_input_location
)
point_csv_df.createOrReplaceTempView("pointtable")
point_df = self.spark.sql(
"select ST_Point(cast(pointtable._c0 as Decimal(24,20)),cast(pointtable._c1 as Decimal(24,20))) as arealandmark from pointtable"
)
point_rdd = Adapter.toSpatialRdd(point_df, "arealandmark")
point_rdd.analyze()
polygon_wkt_df = self.spark.read.\
format("csv").\
option("delimiter", "\t").\
option("header", "false").load(
mixed_wkt_geometry_input_location
)
polygon_wkt_df.createOrReplaceTempView("polygontable")
polygon_df = self.spark.\
sql("select ST_GeomFromWKT(polygontable._c0) as usacounty from polygontable")
polygon_rdd = Adapter.toSpatialRdd(polygon_df, "usacounty")
polygon_rdd.analyze()
circle_rdd = CircleRDD(polygon_rdd, 0.2)
point_rdd.spatialPartitioning(GridType.QUADTREE)
circle_rdd.spatialPartitioning(point_rdd.getPartitioner())
point_rdd.buildIndex(IndexType.QUADTREE, True)
join_result_pair_rdd = JoinQuery.\
DistanceJoinQueryFlat(point_rdd, circle_rdd, True, True)
join_result_df = Adapter.toDf(join_result_pair_rdd, self.spark)
join_result_df.printSchema()
join_result_df.show()
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 _create_spatial_point_table(self) -> DataFrame:
df = self.spark.read.\
format("csv").\
option("delimiter", "\t").\
option("header", "false").\
load(area_lm_point_input_location)
df.createOrReplaceTempView("inputtable")
spatial_df = self.spark.sql(
"select ST_PointFromText(inputtable._c0,\",\") as geom from inputtable"
)
return spatial_df
@pytest.mark.skipif(compare_versions(version, "1.3.0"),
reason="Depreciated after spark 1.2.0")
def test_to_rdd_from_dataframe(self):
spatial_df = self._create_spatial_point_table()
spatial_df.show()
jsrdd = Adapter.toRdd(spatial_df)
spatial_rdd = SpatialRDD(self.sc)
spatial_rdd.rawJvmSpatialRDD = jsrdd
spatial_rdd.analyze()
assert spatial_rdd.approximateTotalCount == 121960
assert spatial_rdd.boundaryEnvelope == Envelope(
-179.147236, 179.475569, -14.548699, 71.35513400000001)
def test_to_spatial_rdd_df_and_geom_field_name(self):
spatial_df = self._create_spatial_point_table()
spatial_rdd = Adapter.toSpatialRdd(spatial_df, "geom")
spatial_rdd = Adapter.toSpatialRdd(spatial_df, "s")
spatial_rdd.analyze()
assert spatial_rdd.approximateTotalCount == 121960
assert spatial_rdd.boundaryEnvelope == Envelope(
-179.147236, 179.475569, -14.548699, 71.35513400000001)
def test_to_spatial_rdd_df(self):
spatial_df = self._create_spatial_point_table()
spatial_rdd = Adapter.toSpatialRdd(spatial_df)
spatial_rdd.analyze()
assert spatial_rdd.approximateTotalCount == 121960
assert spatial_rdd.boundaryEnvelope == Envelope(
-179.147236, 179.475569, -14.548699, 71.35513400000001)
@pytest.mark.skipif(compare_versions(version, "1.3.0"),
reason="Depreciated after spark 1.2.0")
def test_to_spatial_rdd_df_geom_column_id(self):
df = self.spark.read.\
format("csv").\
option("delimiter", "\t").\
option("header", "false").\
load(mixed_wkt_geometry_input_location)
df_shorter = df.select(
col("_c0").alias("geom"),
col("_c6").alias("county_name"))
df_shorter.createOrReplaceTempView("county_data")
spatial_df = self.spark.sql(
"SELECT ST_GeomFromWKT(geom) as geom, county_name FROM county_data"
)
spatial_df.show()
spatial_rdd = Adapter.toSpatialRdd(spatial_df, ["geom", "county_name"])
spatial_rdd.analyze()
assert spatial_rdd.approximateTotalCount == 100
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
class TestPredicateJoin(TestBase):
def test_st_convex_hull(self):
polygon_wkt_df = self.spark.read.format("csv").\
option("delimiter", "\t").\
option("header", "false").\
load(mixed_wkt_geometry_input_location)
polygon_wkt_df.createOrReplaceTempView("polygontable")
polygon_wkt_df.show()
polygon_df = self.spark.sql(
"select ST_GeomFromWKT(polygontable._c0) as countyshape from polygontable"
)
polygon_df.createOrReplaceTempView("polygondf")
polygon_df.show()
function_df = self.spark.sql(
"select ST_ConvexHull(polygondf.countyshape) from polygondf")
function_df.show()
def test_st_buffer(self):
polygon_from_wkt = self.spark.read.format("csv").\
option("delimiter", "\t").\
option("header", "false").\
load(mixed_wkt_geometry_input_location)
polygon_from_wkt.createOrReplaceTempView("polygontable")
polygon_from_wkt.show()
polygon_df = self.spark.sql(
"select ST_GeomFromWKT(polygontable._c0) as countyshape from polygontable"
)
polygon_df.createOrReplaceTempView("polygondf")
polygon_df.show()
function_df = self.spark.sql(
"select ST_Buffer(polygondf.countyshape, 1) from polygondf")
function_df.show()
def test_st_envelope(self):
polygon_from_wkt = self.spark.read.format("csv").\
option("delimiter", "\t").\
option("header", "false").\
load(mixed_wkt_geometry_input_location)
polygon_from_wkt.createOrReplaceTempView("polygontable")
polygon_from_wkt.show()
polygon_df = self.spark.sql(
"select ST_GeomFromWKT(polygontable._c0) as countyshape from polygontable"
)
polygon_df.createOrReplaceTempView("polygondf")
polygon_df.show()
function_df = self.spark.sql(
"select ST_Envelope(polygondf.countyshape) from polygondf")
function_df.show()
def test_st_centroid(self):
polygon_wkt_df = self.spark.read.format("csv").\
option("delimiter", "\t").\
option("header", "false").\
load(mixed_wkt_geometry_input_location)
polygon_wkt_df.createOrReplaceTempView("polygontable")
polygon_wkt_df.show()
polygon_df = self.spark.sql(
"select ST_GeomFromWKT(polygontable._c0) as countyshape from polygontable"
)
polygon_df.createOrReplaceTempView("polygondf")
polygon_df.show()
function_df = self.spark.sql(
"select ST_Centroid(polygondf.countyshape) from polygondf")
function_df.show()
def test_st_length(self):
polygon_wkt_df = self.spark.read.format("csv").\
option("delimiter", "\t").\
option("header", "false").load(mixed_wkt_geometry_input_location)
polygon_wkt_df.createOrReplaceTempView("polygontable")
polygon_wkt_df.show()
polygon_df = self.spark.sql(
"select ST_GeomFromWKT(polygontable._c0) as countyshape from polygontable"
)
polygon_df.createOrReplaceTempView("polygondf")
polygon_df.show()
function_df = self.spark.sql(
"select ST_Length(polygondf.countyshape) from polygondf")
function_df.show()
def test_st_area(self):
polygon_wkt_df = self.spark.read.format("csv").\
option("delimiter", "\t").\
option("header", "false").\
load(mixed_wkt_geometry_input_location)
polygon_wkt_df.createOrReplaceTempView("polygontable")
polygon_wkt_df.show()
polygon_df = self.spark.sql(
"select ST_GeomFromWKT(polygontable._c0) as countyshape from polygontable"
)
polygon_df.createOrReplaceTempView("polygondf")
polygon_df.show()
function_df = self.spark.sql(
"select ST_Area(polygondf.countyshape) from polygondf")
function_df.show()
def test_st_distance(self):
polygon_wkt_df = self.spark.read.format("csv").\
option("delimiter", "\t").\
option("header", "false").\
load(mixed_wkt_geometry_input_location)
polygon_wkt_df.createOrReplaceTempView("polygontable")
polygon_wkt_df.show()
polygon_df = self.spark.sql(
"select ST_GeomFromWKT(polygontable._c0) as countyshape from polygontable"
)
polygon_df.createOrReplaceTempView("polygondf")
polygon_df.show()
function_df = self.spark.sql(
"select ST_Distance(polygondf.countyshape, polygondf.countyshape) from polygondf"
)
function_df.show()
def test_st_transform(self):
polygon_wkt_df = self.spark.read.format("csv").\
option("delimiter", "\t").\
option("header", "false").\
load(mixed_wkt_geometry_input_location_1)
polygon_wkt_df.createOrReplaceTempView("polygontable")
polygon_wkt_df.show()
polygon_df = self.spark.sql(
"select ST_GeomFromWKT(polygontable._c0) as countyshape from polygontable"
)
polygon_df.createOrReplaceTempView("polygondf")
polygon_df.show()
try:
function_df = self.spark.sql(
"select ST_Transform(polygondf.countyshape, 'epsg:4326','epsg:3857',true, false) from polygondf"
)
function_df.show()
except Exception:
function_df = self.spark.sql(
"select ST_Transform(polygondf.countyshape, 'epsg:4326','epsg:3857',true, false) from polygondf"
)
function_df.show()
def test_st_intersection_intersects_but_not_contains(self):
test_table = self.spark.sql(
"select ST_GeomFromWKT('POLYGON((1 1, 8 1, 8 8, 1 8, 1 1))') as a,ST_GeomFromWKT('POLYGON((2 2, 9 2, 9 9, 2 9, 2 2))') as b"
)
test_table.createOrReplaceTempView("testtable")
intersect = self.spark.sql(
"select ST_Intersection(a,b) from testtable")
assert intersect.take(
1)[0][0].wkt == "POLYGON ((2 8, 8 8, 8 2, 2 2, 2 8))"
def test_st_intersection_intersects_but_left_contains_right(self):
test_table = self.spark.sql(
"select ST_GeomFromWKT('POLYGON((1 1, 1 5, 5 5, 1 1))') as a,ST_GeomFromWKT('POLYGON((2 2, 2 3, 3 3, 2 2))') as b"
)
test_table.createOrReplaceTempView("testtable")
intersects = self.spark.sql(
"select ST_Intersection(a,b) from testtable")
assert intersects.take(1)[0][0].wkt == "POLYGON ((2 2, 2 3, 3 3, 2 2))"
def test_st_intersection_intersects_but_right_contains_left(self):
test_table = self.spark.sql(
"select ST_GeomFromWKT('POLYGON((2 2, 2 3, 3 3, 2 2))') as a,ST_GeomFromWKT('POLYGON((1 1, 1 5, 5 5, 1 1))') as b"
)
test_table.createOrReplaceTempView("testtable")
intersects = self.spark.sql(
"select ST_Intersection(a,b) from testtable")
assert intersects.take(1)[0][0].wkt == "POLYGON ((2 2, 2 3, 3 3, 2 2))"
def test_st_intersection_not_intersects(self):
test_table = self.spark.sql(
"select ST_GeomFromWKT('POLYGON((40 21, 40 22, 40 23, 40 21))') as a,ST_GeomFromWKT('POLYGON((2 2, 9 2, 9 9, 2 9, 2 2))') as b"
)
test_table.createOrReplaceTempView("testtable")
intersects = self.spark.sql(
"select ST_Intersection(a,b) from testtable")
assert intersects.take(1)[0][0].wkt == "POLYGON EMPTY"
def test_st_is_valid(self):
test_table = self.spark.sql(
"SELECT ST_IsValid(ST_GeomFromWKT('POLYGON((0 0, 10 0, 10 10, 0 10, 0 0), (15 15, 15 20, 20 20, 20 15, 15 15))')) AS a, "
+
"ST_IsValid(ST_GeomFromWKT('POLYGON ((30 10, 40 40, 20 40, 10 20, 30 10))')) as b"
)
assert not test_table.take(1)[0][0]
assert test_table.take(1)[0][1]
def test_fixed_null_pointer_exception_in_st_valid(self):
test_table = self.spark.sql("SELECT ST_IsValid(null)")
assert test_table.take(1)[0][0] is None
def test_st_precision_reduce(self):
test_table = self.spark.sql(
"""SELECT ST_PrecisionReduce(ST_GeomFromWKT('Point(0.1234567890123456789 0.1234567890123456789)'), 8)"""
)
test_table.show(truncate=False)
assert test_table.take(1)[0][0].x == 0.12345679
test_table = self.spark.sql(
"""SELECT ST_PrecisionReduce(ST_GeomFromWKT('Point(0.1234567890123456789 0.1234567890123456789)'), 11)"""
)
test_table.show(truncate=False)
assert test_table.take(1)[0][0].x == 0.12345678901
def test_st_is_simple(self):
test_table = self.spark.sql(
"SELECT ST_IsSimple(ST_GeomFromText('POLYGON((1 1, 3 1, 3 3, 1 3, 1 1))')) AS a, "
+
"ST_IsSimple(ST_GeomFromText('POLYGON((1 1,3 1,3 3,2 0,1 1))')) as b"
)
assert test_table.take(1)[0][0]
assert not test_table.take(1)[0][1]
def test_st_as_text(self):
polygon_wkt_df = self.spark.read.format("csv").\
option("delimiter", "\t").\
option("header", "false").\
load(mixed_wkt_geometry_input_location)
polygon_wkt_df.createOrReplaceTempView("polygontable")
polygon_df = self.spark.sql(
"select ST_GeomFromWKT(polygontable._c0) as countyshape from polygontable"
)
polygon_df.createOrReplaceTempView("polygondf")
wkt_df = self.spark.sql(
"select ST_AsText(countyshape) as wkt from polygondf")
assert polygon_df.take(1)[0]["countyshape"].wkt == loads(
wkt_df.take(1)[0]["wkt"]).wkt
@pytest.mark.skipif(compare_versions("1.2.0", version),
reason="requires Geospark version above 1.2.0")
def test_st_n_points(self):
if pyspark.version.__version__[:3] == "2.2":
pass
else:
test = self.spark.sql(
"SELECT ST_NPoints(ST_GeomFromText('LINESTRING(77.29 29.07,77.42 29.26,77.27 29.31,77.29 29.07)'))"
)
assert test.take(1)[0][0] == 4
@pytest.mark.skipif(compare_versions("1.2.0", version),
reason="requires Geospark version above 1.2.0")
def test_st_geometry_type(self):
if pyspark.version.__version__[:3] == "2.2":
pass
else:
test = self.spark.sql(
"SELECT ST_GeometryType(ST_GeomFromText('LINESTRING(77.29 29.07,77.42 29.26,77.27 29.31,77.29 29.07)'))"
)
assert test.take(1)[0][0].upper() == "ST_LINESTRING"
class TestPredicateJoin(TestBase):
geo_schema = StructType([StructField("geom", GeometryType(), False)])
geo_schema_with_index = StructType([
StructField("index", IntegerType(), False),
StructField("geom", GeometryType(), False)
])
geo_pair_schema = StructType([
StructField("geomA", GeometryType(), False),
StructField("geomB", GeometryType(), False)
])
def test_st_convex_hull(self):
polygon_wkt_df = self.spark.read.format("csv"). \
option("delimiter", "\t"). \
option("header", "false"). \
load(mixed_wkt_geometry_input_location)
polygon_wkt_df.createOrReplaceTempView("polygontable")
polygon_wkt_df.show()
polygon_df = self.spark.sql(
"select ST_GeomFromWKT(polygontable._c0) as countyshape from polygontable"
)
polygon_df.createOrReplaceTempView("polygondf")
polygon_df.show()
function_df = self.spark.sql(
"select ST_ConvexHull(polygondf.countyshape) from polygondf")
function_df.show()
def test_st_buffer(self):
polygon_from_wkt = self.spark.read.format("csv"). \
option("delimiter", "\t"). \
option("header", "false"). \
load(mixed_wkt_geometry_input_location)
polygon_from_wkt.createOrReplaceTempView("polygontable")
polygon_from_wkt.show()
polygon_df = self.spark.sql(
"select ST_GeomFromWKT(polygontable._c0) as countyshape from polygontable"
)
polygon_df.createOrReplaceTempView("polygondf")
polygon_df.show()
function_df = self.spark.sql(
"select ST_Buffer(polygondf.countyshape, 1) from polygondf")
function_df.show()
def test_st_envelope(self):
polygon_from_wkt = self.spark.read.format("csv"). \
option("delimiter", "\t"). \
option("header", "false"). \
load(mixed_wkt_geometry_input_location)
polygon_from_wkt.createOrReplaceTempView("polygontable")
polygon_from_wkt.show()
polygon_df = self.spark.sql(
"select ST_GeomFromWKT(polygontable._c0) as countyshape from polygontable"
)
polygon_df.createOrReplaceTempView("polygondf")
polygon_df.show()
function_df = self.spark.sql(
"select ST_Envelope(polygondf.countyshape) from polygondf")
function_df.show()
def test_st_centroid(self):
polygon_wkt_df = self.spark.read.format("csv"). \
option("delimiter", "\t"). \
option("header", "false"). \
load(mixed_wkt_geometry_input_location)
polygon_wkt_df.createOrReplaceTempView("polygontable")
polygon_wkt_df.show()
polygon_df = self.spark.sql(
"select ST_GeomFromWKT(polygontable._c0) as countyshape from polygontable"
)
polygon_df.createOrReplaceTempView("polygondf")
polygon_df.show()
function_df = self.spark.sql(
"select ST_Centroid(polygondf.countyshape) from polygondf")
function_df.show()
def test_st_length(self):
polygon_wkt_df = self.spark.read.format("csv"). \
option("delimiter", "\t"). \
option("header", "false").load(mixed_wkt_geometry_input_location)
polygon_wkt_df.createOrReplaceTempView("polygontable")
polygon_wkt_df.show()
polygon_df = self.spark.sql(
"select ST_GeomFromWKT(polygontable._c0) as countyshape from polygontable"
)
polygon_df.createOrReplaceTempView("polygondf")
polygon_df.show()
function_df = self.spark.sql(
"select ST_Length(polygondf.countyshape) from polygondf")
function_df.show()
def test_st_area(self):
polygon_wkt_df = self.spark.read.format("csv"). \
option("delimiter", "\t"). \
option("header", "false"). \
load(mixed_wkt_geometry_input_location)
polygon_wkt_df.createOrReplaceTempView("polygontable")
polygon_wkt_df.show()
polygon_df = self.spark.sql(
"select ST_GeomFromWKT(polygontable._c0) as countyshape from polygontable"
)
polygon_df.createOrReplaceTempView("polygondf")
polygon_df.show()
function_df = self.spark.sql(
"select ST_Area(polygondf.countyshape) from polygondf")
function_df.show()
def test_st_distance(self):
polygon_wkt_df = self.spark.read.format("csv"). \
option("delimiter", "\t"). \
option("header", "false"). \
load(mixed_wkt_geometry_input_location)
polygon_wkt_df.createOrReplaceTempView("polygontable")
polygon_wkt_df.show()
polygon_df = self.spark.sql(
"select ST_GeomFromWKT(polygontable._c0) as countyshape from polygontable"
)
polygon_df.createOrReplaceTempView("polygondf")
polygon_df.show()
function_df = self.spark.sql(
"select ST_Distance(polygondf.countyshape, polygondf.countyshape) from polygondf"
)
function_df.show()
def test_st_transform(self):
polygon_wkt_df = self.spark.read.format("csv"). \
option("delimiter", "\t"). \
option("header", "false"). \
load(mixed_wkt_geometry_input_location_1)
polygon_wkt_df.createOrReplaceTempView("polygontable")
polygon_wkt_df.show()
polygon_df = self.spark.sql(
"select ST_GeomFromWKT(polygontable._c0) as countyshape from polygontable"
)
polygon_df.createOrReplaceTempView("polygondf")
polygon_df.show()
try:
function_df = self.spark.sql(
"select ST_Transform(polygondf.countyshape, 'epsg:4326','epsg:3857',true, false) from polygondf"
)
function_df.show()
except Exception:
function_df = self.spark.sql(
"select ST_Transform(polygondf.countyshape, 'epsg:4326','epsg:3857',true, false) from polygondf"
)
function_df.show()
def test_st_intersection_intersects_but_not_contains(self):
test_table = self.spark.sql(
"select ST_GeomFromWKT('POLYGON((1 1, 8 1, 8 8, 1 8, 1 1))') as a,ST_GeomFromWKT('POLYGON((2 2, 9 2, 9 9, 2 9, 2 2))') as b"
)
test_table.createOrReplaceTempView("testtable")
intersect = self.spark.sql(
"select ST_Intersection(a,b) from testtable")
assert intersect.take(
1)[0][0].wkt == "POLYGON ((2 8, 8 8, 8 2, 2 2, 2 8))"
def test_st_intersection_intersects_but_left_contains_right(self):
test_table = self.spark.sql(
"select ST_GeomFromWKT('POLYGON((1 1, 1 5, 5 5, 1 1))') as a,ST_GeomFromWKT('POLYGON((2 2, 2 3, 3 3, 2 2))') as b"
)
test_table.createOrReplaceTempView("testtable")
intersects = self.spark.sql(
"select ST_Intersection(a,b) from testtable")
assert intersects.take(1)[0][0].wkt == "POLYGON ((2 2, 2 3, 3 3, 2 2))"
def test_st_intersection_intersects_but_right_contains_left(self):
test_table = self.spark.sql(
"select ST_GeomFromWKT('POLYGON((2 2, 2 3, 3 3, 2 2))') as a,ST_GeomFromWKT('POLYGON((1 1, 1 5, 5 5, 1 1))') as b"
)
test_table.createOrReplaceTempView("testtable")
intersects = self.spark.sql(
"select ST_Intersection(a,b) from testtable")
assert intersects.take(1)[0][0].wkt == "POLYGON ((2 2, 2 3, 3 3, 2 2))"
def test_st_intersection_not_intersects(self):
test_table = self.spark.sql(
"select ST_GeomFromWKT('POLYGON((40 21, 40 22, 40 23, 40 21))') as a,ST_GeomFromWKT('POLYGON((2 2, 9 2, 9 9, 2 9, 2 2))') as b"
)
test_table.createOrReplaceTempView("testtable")
intersects = self.spark.sql(
"select ST_Intersection(a,b) from testtable")
assert intersects.take(1)[0][0].wkt == "POLYGON EMPTY"
def test_st_is_valid(self):
test_table = self.spark.sql(
"SELECT ST_IsValid(ST_GeomFromWKT('POLYGON((0 0, 10 0, 10 10, 0 10, 0 0), (15 15, 15 20, 20 20, 20 15, 15 15))')) AS a, "
+
"ST_IsValid(ST_GeomFromWKT('POLYGON ((30 10, 40 40, 20 40, 10 20, 30 10))')) as b"
)
assert not test_table.take(1)[0][0]
assert test_table.take(1)[0][1]
def test_fixed_null_pointer_exception_in_st_valid(self):
test_table = self.spark.sql("SELECT ST_IsValid(null)")
assert test_table.take(1)[0][0] is None
def test_st_precision_reduce(self):
test_table = self.spark.sql(
"""SELECT ST_PrecisionReduce(ST_GeomFromWKT('Point(0.1234567890123456789 0.1234567890123456789)'), 8)"""
)
test_table.show(truncate=False)
assert test_table.take(1)[0][0].x == 0.12345679
test_table = self.spark.sql(
"""SELECT ST_PrecisionReduce(ST_GeomFromWKT('Point(0.1234567890123456789 0.1234567890123456789)'), 11)"""
)
test_table.show(truncate=False)
assert test_table.take(1)[0][0].x == 0.12345678901
def test_st_is_simple(self):
test_table = self.spark.sql(
"SELECT ST_IsSimple(ST_GeomFromText('POLYGON((1 1, 3 1, 3 3, 1 3, 1 1))')) AS a, "
+
"ST_IsSimple(ST_GeomFromText('POLYGON((1 1,3 1,3 3,2 0,1 1))')) as b"
)
assert test_table.take(1)[0][0]
assert not test_table.take(1)[0][1]
def test_st_as_text(self):
polygon_wkt_df = self.spark.read.format("csv"). \
option("delimiter", "\t"). \
option("header", "false"). \
load(mixed_wkt_geometry_input_location)
polygon_wkt_df.createOrReplaceTempView("polygontable")
polygon_df = self.spark.sql(
"select ST_GeomFromWKT(polygontable._c0) as countyshape from polygontable"
)
polygon_df.createOrReplaceTempView("polygondf")
wkt_df = self.spark.sql(
"select ST_AsText(countyshape) as wkt from polygondf")
assert polygon_df.take(1)[0]["countyshape"].wkt == loads(
wkt_df.take(1)[0]["wkt"]).wkt
@pytest.mark.skipif(compare_versions("1.2.0", version),
reason="requires Geospark version above 1.2.0")
def test_st_n_points(self):
if pyspark.version.__version__[:3] == "2.2":
pass
else:
test = self.spark.sql(
"SELECT ST_NPoints(ST_GeomFromText('LINESTRING(77.29 29.07,77.42 29.26,77.27 29.31,77.29 29.07)'))"
)
assert test.take(1)[0][0] == 4
@pytest.mark.skipif(compare_versions("1.2.0", version),
reason="requires Geospark version above 1.2.0")
def test_st_geometry_type(self):
if pyspark.version.__version__[:3] == "2.2":
pass
else:
test = self.spark.sql(
"SELECT ST_GeometryType(ST_GeomFromText('LINESTRING(77.29 29.07,77.42 29.26,77.27 29.31,77.29 29.07)'))"
)
assert test.take(1)[0][0].upper() == "ST_LINESTRING"
@pytest.mark.skipif(compare_versions("1.3.1", version),
reason="requires Geospark version above 1.3.1")
def test_st_azimuth(self):
sample_points = create_sample_points(20)
sample_pair_points = [[el, sample_points[1]] for el in sample_points]
schema = StructType([
StructField("geomA", GeometryType(), True),
StructField("geomB", GeometryType(), True)
])
df = self.spark.createDataFrame(sample_pair_points, schema)
st_azimuth_result = [
el[0] * 180 / math.pi
for el in df.selectExpr("ST_Azimuth(geomA, geomB)").collect()
]
expected_result = [
240.0133139011053, 0.0, 270.0, 286.8042682202057, 315.0,
314.9543472191815, 315.0058223408927, 245.14762725688198,
314.84984546897755, 314.8868529256147, 314.9510567053395,
314.95443984912936, 314.89925480835245, 314.60187991438806,
314.6834083423315, 314.80689827870725, 314.90290827689506,
314.90336326341765, 314.7510398533675, 314.73608518601935
]
assert st_azimuth_result == expected_result
azimuth = self.spark.sql(
"""SELECT ST_Azimuth(ST_Point(25.0, 45.0), ST_Point(75.0, 100.0)) AS degA_B,
ST_Azimuth(ST_Point(75.0, 100.0), ST_Point(25.0, 45.0)) AS degB_A
""").collect()
azimuths = [[azimuth1 * 180 / math.pi, azimuth2 * 180 / math.pi]
for azimuth1, azimuth2 in azimuth]
assert azimuths[0] == [42.27368900609373, 222.27368900609372]
@pytest.mark.skipif(compare_versions("1.3.1", version),
reason="requires Geospark version above 1.3.1")
def test_st_x(self):
point_df = create_sample_points_df(self.spark, 5)
polygon_df = create_sample_polygons_df(self.spark, 5)
linestring_df = create_sample_lines_df(self.spark, 5)
points = point_df \
.selectExpr("ST_X(geom)").collect()
polygons = polygon_df.selectExpr("ST_X(geom) as x").filter(
"x IS NOT NULL")
linestrings = linestring_df.selectExpr("ST_X(geom) as x").filter(
"x IS NOT NULL")
assert ([point[0] for point in points
] == [-71.064544, -88.331492, 88.331492, 1.0453, 32.324142])
assert (not linestrings.count())
assert (not polygons.count())
@pytest.mark.skipif(compare_versions("1.3.1", version),
reason="requires Geospark version above 1.3.1")
def test_st_y(self):
point_df = create_sample_points_df(self.spark, 5)
polygon_df = create_sample_polygons_df(self.spark, 5)
linestring_df = create_sample_lines_df(self.spark, 5)
points = point_df \
.selectExpr("ST_Y(geom)").collect()
polygons = polygon_df.selectExpr("ST_Y(geom) as y").filter(
"y IS NOT NULL")
linestrings = linestring_df.selectExpr("ST_Y(geom) as y").filter(
"y IS NOT NULL")
assert ([point[0] for point in points
] == [42.28787, 32.324142, 32.324142, 5.3324324, -88.331492])
assert (not linestrings.count())
assert (not polygons.count())
@pytest.mark.skipif(compare_versions("1.3.1", version),
reason="requires Geospark version above 1.3.1")
def test_st_start_point(self):
point_df = create_sample_points_df(self.spark, 5)
polygon_df = create_sample_polygons_df(self.spark, 5)
linestring_df = create_sample_lines_df(self.spark, 5)
expected_points = [
"POINT (-112.506968 45.98186)", "POINT (-112.519856 45.983586)",
"POINT (-112.504872 45.919281)", "POINT (-112.574945 45.987772)",
"POINT (-112.520691 42.912313)"
]
points = point_df.selectExpr("ST_StartPoint(geom) as geom").filter(
"geom IS NOT NULL")
polygons = polygon_df.selectExpr("ST_StartPoint(geom) as geom").filter(
"geom IS NOT NULL")
linestrings = linestring_df.selectExpr(
"ST_StartPoint(geom) as geom").filter("geom IS NOT NULL")
assert ([line[0] for line in linestrings.collect()
] == [wkt.loads(el) for el in expected_points])
assert (not points.count())
assert (not polygons.count())
@pytest.mark.skipif(compare_versions("1.3.1", version),
reason="requires Geospark version above 1.3.1")
def test_st_end_point(self):
linestring_dataframe = create_sample_lines_df(self.spark, 5)
other_geometry_dataframe = create_sample_points_df(self.spark, 5). \
union(create_sample_points_df(self.spark, 5))
point_data_frame = linestring_dataframe.selectExpr("ST_EndPoint(geom) as geom"). \
filter("geom IS NOT NULL")
expected_ending_points = [
"POINT (-112.504872 45.98186)", "POINT (-112.506968 45.983586)",
"POINT (-112.41643 45.919281)", "POINT (-112.519856 45.987772)",
"POINT (-112.442664 42.912313)"
]
empty_dataframe = other_geometry_dataframe.selectExpr("ST_EndPoint(geom) as geom"). \
filter("geom IS NOT NULL")
assert ([
wkt_row[0] for wkt_row in point_data_frame.selectExpr(
"ST_AsText(geom)").collect()
] == expected_ending_points)
assert (empty_dataframe.count() == 0)
@pytest.mark.skipif(compare_versions("1.3.1", version),
reason="requires Geospark version above 1.3.1")
def test_st_boundary(self):
wkt_list = [
"LINESTRING(1 1,0 0, -1 1)",
"LINESTRING(100 150,50 60, 70 80, 160 170)",
"POLYGON (( 10 130, 50 190, 110 190, 140 150, 150 80, 100 10, 20 40, 10 130 ),( 70 40, 100 50, 120 80, 80 110, 50 90, 70 40 ))",
"POLYGON((1 1,0 0, -1 1, 1 1))"
]
geometries = [[wkt.loads(wkt_data)] for wkt_data in wkt_list]
schema = StructType([StructField("geom", GeometryType(), False)])
geometry_table = self.spark.createDataFrame(geometries, schema)
geometry_table.show()
boundary_table = geometry_table.selectExpr("ST_Boundary(geom) as geom")
boundary_wkt = [
wkt_row[0] for wkt_row in boundary_table.selectExpr(
"ST_AsText(geom)").collect()
]
assert (boundary_wkt == [
"MULTIPOINT ((1 1), (-1 1))", "MULTIPOINT ((100 150), (160 170))",
"MULTILINESTRING ((10 130, 50 190, 110 190, 140 150, 150 80, 100 10, 20 40, 10 130), (70 40, 100 50, 120 80, 80 110, 50 90, 70 40))",
"LINESTRING (1 1, 0 0, -1 1, 1 1)"
])
@pytest.mark.skipif(compare_versions("1.3.1", version),
reason="requires Geospark version above 1.3.1")
def test_st_exterior_ring(self):
polygon_df = create_simple_polygons_df(self.spark, 5)
additional_wkt = "POLYGON((0 0 1, 1 1 1, 1 2 1, 1 1 1, 0 0 1))"
additional_wkt_df = self.spark.createDataFrame(
[[wkt.loads(additional_wkt)]], self.geo_schema)
polygons_df = polygon_df.union(additional_wkt_df)
other_geometry_df = create_sample_lines_df(self.spark, 5).union(
create_sample_points_df(self.spark, 5))
linestring_df = polygons_df.selectExpr(
"ST_ExteriorRing(geom) as geom").filter("geom IS NOT NULL")
empty_df = other_geometry_df.selectExpr(
"ST_ExteriorRing(geom) as geom").filter("geom IS NOT NULL")
linestring_wkt = [
wkt_row[0] for wkt_row in linestring_df.selectExpr(
"ST_AsText(geom)").collect()
]
assert (linestring_wkt == [
"LINESTRING (0 0, 0 1, 1 1, 1 0, 0 0)",
"LINESTRING (0 0, 1 1, 1 2, 1 1, 0 0)"
])
assert (not empty_df.count())
@pytest.mark.skipif(compare_versions("1.3.1", version),
reason="requires Geospark version above 1.3.1")
def test_st_geometry_n(self):
data_frame = self.__wkt_list_to_data_frame(
["MULTIPOINT((1 2), (3 4), (5 6), (8 9))"])
wkts = [
data_frame.selectExpr(f"ST_GeometryN(geom, {i}) as geom").
selectExpr("st_asText(geom)").collect()[0][0] for i in range(0, 4)
]
assert (wkts == [
"POINT (1 2)", "POINT (3 4)", "POINT (5 6)", "POINT (8 9)"
])
@pytest.mark.skipif(compare_versions("1.3.1", version),
reason="requires Geospark version above 1.3.1")
def test_st_interior_ring_n(self):
polygon_df = self.__wkt_list_to_data_frame([
"POLYGON((0 0, 0 5, 5 5, 5 0, 0 0), (1 1, 2 1, 2 2, 1 2, 1 1), (1 3, 2 3, 2 4, 1 4, 1 3), (3 3, 4 3, 4 4, 3 4, 3 3))"
])
other_geometry = create_sample_points_df(self.spark, 5).union(
create_sample_lines_df(self.spark, 5))
wholes = [
polygon_df.selectExpr(f"ST_InteriorRingN(geom, {i}) as geom").
selectExpr("ST_AsText(geom)").collect()[0][0] for i in range(3)
]
empty_df = other_geometry.selectExpr(
"ST_InteriorRingN(geom, 1) as geom").filter("geom IS NOT NULL")
assert (not empty_df.count())
assert (wholes == [
"LINESTRING (1 1, 2 1, 2 2, 1 2, 1 1)",
"LINESTRING (1 3, 2 3, 2 4, 1 4, 1 3)",
"LINESTRING (3 3, 4 3, 4 4, 3 4, 3 3)"
])
@pytest.mark.skipif(compare_versions("1.3.1", version),
reason="requires Geospark version above 1.3.1")
def test_st_dumps(self):
expected_geometries = [
"POINT (21 52)", "POLYGON ((0 0, 0 1, 1 1, 1 0, 0 0))",
"LINESTRING (0 0, 1 1, 1 0)", "POINT (10 40)", "POINT (40 30)",
"POINT (20 20)", "POINT (30 10)",
"POLYGON ((30 20, 45 40, 10 40, 30 20))",
"POLYGON ((15 5, 40 10, 10 20, 5 10, 15 5))",
"LINESTRING (10 10, 20 20, 10 40)",
"LINESTRING (40 40, 30 30, 40 20, 30 10)",
"POLYGON ((40 40, 20 45, 45 30, 40 40))",
"POLYGON ((20 35, 10 30, 10 10, 30 5, 45 20, 20 35), (30 20, 20 15, 20 25, 30 20))",
"POLYGON ((0 0, 0 5, 5 5, 5 0, 0 0), (1 1, 2 1, 2 2, 1 2, 1 1))"
]
geometry_df = self.__wkt_list_to_data_frame([
"Point(21 52)", "Polygon((0 0, 0 1, 1 1, 1 0, 0 0))",
"Linestring(0 0, 1 1, 1 0)",
"MULTIPOINT ((10 40), (40 30), (20 20), (30 10))",
"MULTIPOLYGON (((30 20, 45 40, 10 40, 30 20)), ((15 5, 40 10, 10 20, 5 10, 15 5)))",
"MULTILINESTRING ((10 10, 20 20, 10 40), (40 40, 30 30, 40 20, 30 10))",
"MULTIPOLYGON (((40 40, 20 45, 45 30, 40 40)), ((20 35, 10 30, 10 10, 30 5, 45 20, 20 35), (30 20, 20 15, 20 25, 30 20)))",
"POLYGON((0 0, 0 5, 5 5, 5 0, 0 0), (1 1, 2 1, 2 2, 1 2, 1 1))"
])
dumped_geometries = geometry_df.selectExpr("ST_Dump(geom) as geom")
assert (dumped_geometries.select(explode(col("geom"))).count() == 14)
collected_geometries = dumped_geometries \
.select(explode(col("geom")).alias("geom")) \
.selectExpr("ST_AsText(geom) as geom") \
.collect()
assert ([geom_row[0]
for geom_row in collected_geometries] == expected_geometries)
@pytest.mark.skipif(compare_versions("1.3.1", version),
reason="requires Geospark version above 1.3.1")
def test_st_dump_points(self):
expected_points = [
"POINT (-112.506968 45.98186)", "POINT (-112.506968 45.983586)",
"POINT (-112.504872 45.983586)", "POINT (-112.504872 45.98186)",
"POINT (-71.064544 42.28787)", "POINT (0 0)", "POINT (0 1)",
"POINT (1 1)", "POINT (1 0)", "POINT (0 0)"
]
geometry_df = create_sample_lines_df(self.spark, 1) \
.union(create_sample_points_df(self.spark, 1)) \
.union(create_simple_polygons_df(self.spark, 1))
dumped_points = geometry_df.selectExpr("ST_DumpPoints(geom) as geom") \
.select(explode(col("geom")).alias("geom"))
assert (dumped_points.count(), 10)
collected_points = [
geom_row[0] for geom_row in dumped_points.selectExpr(
"ST_AsText(geom)").collect()
]
assert (collected_points == expected_points)
@pytest.mark.skipif(compare_versions("1.3.1", version),
reason="requires Geospark version above 1.3.1")
def test_st_is_closed(self):
expected_result = [[1, True], [2, True], [3, False], [4, True],
[5, True], [6, True], [7, True], [8, False],
[9, False], [10, False]]
geometry_list = [
(1, "Point(21 52)"), (2, "Polygon((0 0, 0 1, 1 1, 1 0, 0 0))"),
(3, "Linestring(0 0, 1 1, 1 0)"),
(4, "Linestring(0 0, 1 1, 1 0, 0 0)"),
(5, "MULTIPOINT ((10 40), (40 30), (20 20), (30 10))"),
(6,
"MULTIPOLYGON (((30 20, 45 40, 10 40, 30 20)), ((15 5, 40 10, 10 20, 5 10, 15 5)))"
),
(7,
"MULTILINESTRING ((10 10, 20 20, 10 40, 10 10), (40 40, 30 30, 40 20, 30 10, 40 40))"
),
(8,
"MULTILINESTRING ((10 10, 20 20, 10 40, 10 10), (40 40, 30 30, 40 20, 30 10))"
),
(9,
"MULTILINESTRING ((10 10, 20 20, 10 40), (40 40, 30 30, 40 20, 30 10))"
),
(10,
"GEOMETRYCOLLECTION (POINT (40 10), LINESTRING (10 10, 20 20, 10 40), POLYGON ((40 40, 20 45, 45 30, 40 40)))"
)
]
geometry_df = self.__wkt_pair_list_with_index_to_data_frame(
geometry_list)
is_closed = geometry_df.selectExpr("index",
"ST_IsClosed(geom)").collect()
is_closed_collected = [[*row] for row in is_closed]
assert (is_closed_collected == expected_result)
@pytest.mark.skipif(compare_versions("1.3.1", version),
reason="requires Geospark version above 1.3.1")
def test_num_interior_ring(self):
geometries = [
(1, "Point(21 52)"), (2, "Polygon((0 0, 0 1, 1 1, 1 0, 0 0))"),
(3, "Linestring(0 0, 1 1, 1 0)"),
(4, "Linestring(0 0, 1 1, 1 0, 0 0)"),
(5, "MULTIPOINT ((10 40), (40 30), (20 20), (30 10))"),
(6,
"MULTIPOLYGON (((30 20, 45 40, 10 40, 30 20)), ((15 5, 40 10, 10 20, 5 10, 15 5)))"
),
(7,
"MULTILINESTRING ((10 10, 20 20, 10 40, 10 10), (40 40, 30 30, 40 20, 30 10, 40 40))"
),
(8,
"MULTILINESTRING ((10 10, 20 20, 10 40, 10 10), (40 40, 30 30, 40 20, 30 10))"
),
(9,
"MULTILINESTRING ((10 10, 20 20, 10 40), (40 40, 30 30, 40 20, 30 10))"
),
(10,
"GEOMETRYCOLLECTION (POINT (40 10), LINESTRING (10 10, 20 20, 10 40), POLYGON ((40 40, 20 45, 45 30, 40 40)))"
),
(11,
"POLYGON ((0 0, 0 5, 5 5, 5 0, 0 0), (1 1, 2 1, 2 2, 1 2, 1 1))")
]
geometry_df = self.__wkt_pair_list_with_index_to_data_frame(geometries)
number_of_interior_rings = geometry_df.selectExpr(
"index", "ST_NumInteriorRings(geom) as num")
collected_interior_rings = [[*row]
for row in number_of_interior_rings.filter(
"num is not null").collect()]
assert (collected_interior_rings == [[2, 0], [11, 1]])
@pytest.mark.skipif(compare_versions("1.3.1", version),
reason="requires Geospark version above 1.3.1")
def test_st_add_point(self):
geometry = [
("Point(21 52)", "Point(21 52)"),
("Point(21 52)", "Polygon((0 0, 0 1, 1 1, 1 0, 0 0))"),
("Linestring(0 0, 1 1, 1 0)", "Point(21 52)"),
("Linestring(0 0, 1 1, 1 0, 0 0)",
"Linestring(0 0, 1 1, 1 0, 0 0)"),
("Point(21 52)",
"MULTIPOINT ((10 40), (40 30), (20 20), (30 10))"),
("MULTIPOLYGON (((30 20, 45 40, 10 40, 30 20)), ((15 5, 40 10, 10 20, 5 10, 15 5)))",
"Point(21 52)"),
("MULTILINESTRING ((10 10, 20 20, 10 40, 10 10), (40 40, 30 30, 40 20, 30 10, 40 40))",
"Point(21 52)"),
("MULTILINESTRING ((10 10, 20 20, 10 40, 10 10), (40 40, 30 30, 40 20, 30 10))",
"Point(21 52)"),
("MULTILINESTRING ((10 10, 20 20, 10 40), (40 40, 30 30, 40 20, 30 10))",
"Point(21 52)"),
("GEOMETRYCOLLECTION (POINT (40 10), LINESTRING (10 10, 20 20, 10 40), POLYGON ((40 40, 20 45, 45 30, 40 40)))",
"Point(21 52)"),
("POLYGON ((0 0, 0 5, 5 5, 5 0, 0 0), (1 1, 2 1, 2 2, 1 2, 1 1))",
"Point(21 52)")
]
geometry_df = self.__wkt_pairs_to_data_frame(geometry)
modified_geometries = geometry_df.selectExpr(
"ST_AddPoint(geomA, geomB) as geom")
collected_geometries = [
row[0] for row in modified_geometries.filter(
"geom is not null").selectExpr("ST_AsText(geom)").collect()
]
assert (collected_geometries[0] == "LINESTRING (0 0, 1 1, 1 0, 21 52)")
@pytest.mark.skipif(compare_versions("1.3.1", version),
reason="requires Geospark version above 1.3.1")
def test_st_remove_point(self):
result_and_expected = [
[
self.calculate_st_remove("Linestring(0 0, 1 1, 1 0, 0 0)", 0),
"LINESTRING (1 1, 1 0, 0 0)"
],
[
self.calculate_st_remove("Linestring(0 0, 1 1, 1 0, 0 0)", 1),
"LINESTRING (0 0, 1 0, 0 0)"
],
[
self.calculate_st_remove("Linestring(0 0, 1 1, 1 0, 0 0)", 2),
"LINESTRING (0 0, 1 1, 0 0)"
],
[
self.calculate_st_remove("Linestring(0 0, 1 1, 1 0, 0 0)", 3),
"LINESTRING (0 0, 1 1, 1 0)"
], [self.calculate_st_remove("POINT(0 1)", 3), None],
[
self.calculate_st_remove(
"POLYGON ((0 0, 0 5, 5 5, 5 0, 0 0), (1 1, 2 1, 2 2, 1 2, 1 1))",
3), None
],
[
self.calculate_st_remove(
"GEOMETRYCOLLECTION (POINT (40 10), LINESTRING (10 10, 20 20, 10 40))",
0), None
],
[
self.calculate_st_remove(
"MULTIPOLYGON (((30 20, 45 40, 10 40, 30 20)), ((15 5, 40 10, 10 20, 5 10, 15 5)))",
3), None
],
[
self.calculate_st_remove(
"MULTILINESTRING ((10 10, 20 20, 10 40, 10 10), (40 40, 30 30, 40 20, 30 10, 40 40))",
3), None
]
]
for actual, expected in result_and_expected:
assert (actual == expected)
@pytest.mark.skipif(compare_versions("1.3.1", version),
reason="requires Geospark version above 1.3.1")
def test_st_is_ring(self):
result_and_expected = [
[
self.calculate_st_is_ring(
"LINESTRING(0 0, 0 1, 1 0, 1 1, 0 0)"), False
],
[self.calculate_st_is_ring("LINESTRING(2 0, 2 2, 3 3)"), False],
[
self.calculate_st_is_ring(
"LINESTRING(0 0, 0 1, 1 1, 1 0, 0 0)"), True
],
[self.calculate_st_is_ring("POINT (21 52)"), None],
[
self.calculate_st_is_ring(
"POLYGON ((0 0, 0 5, 5 5, 5 0, 0 0), (1 1, 2 1, 2 2, 1 2, 1 1))"
), None
],
]
for actual, expected in result_and_expected:
assert (actual == expected)
def calculate_st_is_ring(self, wkt):
geometry_collected = self.__wkt_list_to_data_frame([wkt]). \
selectExpr("ST_IsRing(geom) as is_ring") \
.filter("is_ring is not null").collect()
return geometry_collected[0][0] if geometry_collected.__len__(
) != 0 else None
def calculate_st_remove(self, wkt, index):
geometry_collected = self.__wkt_list_to_data_frame([wkt]). \
selectExpr(f"ST_RemovePoint(geom, {index}) as geom"). \
filter("geom is not null"). \
selectExpr("ST_AsText(geom)").collect()
return geometry_collected[0][0] if geometry_collected.__len__(
) != 0 else None
def __wkt_pairs_to_data_frame(self, wkt_list: List) -> DataFrame:
return self.spark.createDataFrame(
[[wkt.loads(wkt_a), wkt.loads(wkt_b)]
for wkt_a, wkt_b in wkt_list], self.geo_pair_schema)
def __wkt_list_to_data_frame(self, wkt_list: List) -> DataFrame:
return self.spark.createDataFrame([[wkt.loads(given_wkt)]
for given_wkt in wkt_list],
self.geo_schema)
def __wkt_pair_list_with_index_to_data_frame(self,
wkt_list: List) -> DataFrame:
return self.spark.createDataFrame([[index, wkt.loads(given_wkt)]
for index, given_wkt in wkt_list],
self.geo_schema_with_index)
