python/tests/sql/test_aggregate_functions.py

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from shapely.geometry import Polygon
from tests import csv_point_input_location, union_polygon_input_location
from tests.test_base import TestBase


class TestConstructors(TestBase):

    def test_st_envelope_aggr(self):
        point_csv_df = (
            self.spark.read.format("csv")
            .option("delimiter", ",")
            .option("header", "false")
            .load(csv_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_df.createOrReplaceTempView("pointdf")
        boundary = self.spark.sql(
            "select ST_Envelope_Aggr(pointdf.arealandmark) from pointdf"
        )

        coordinates = [
            (1.1, 101.1),
            (1.1, 1100.1),
            (1000.1, 1100.1),
            (1000.1, 101.1),
            (1.1, 101.1),
        ]

        polygon = Polygon(coordinates)

        assert boundary.take(1)[0][0] == polygon

    def test_st_union_aggr(self):
        polygon_csv_df = (
            self.spark.read.format("csv")
            .option("delimiter", ",")
            .option("header", "false")
            .load(union_polygon_input_location)
        )

        polygon_csv_df.createOrReplaceTempView("polygontable")
        polygon_csv_df.show()
        polygon_df = self.spark.sql(
            "select ST_PolygonFromEnvelope(cast(polygontable._c0 as Decimal(24,20)),cast(polygontable._c1 as Decimal(24,20)), cast(polygontable._c2 as Decimal(24,20)), cast(polygontable._c3 as Decimal(24,20))) as polygonshape from polygontable"
        )
        polygon_df.createOrReplaceTempView("polygondf")
        polygon_df.show()
        union = self.spark.sql(
            "select ST_Union_Aggr(polygondf.polygonshape) from polygondf"
        )

        assert union.take(1)[0][0].area == 10100