python/tests/spatial_rdd/test_rectangle_rdd.py

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import os

from tests import tests_resource
from tests.test_base import TestBase

from sedona.spark.core.enums import FileDataSplitter, IndexType
from sedona.spark.core.geom.envelope import Envelope
from sedona.spark.core.SpatialRDD import RectangleRDD

inputLocation = os.path.join(tests_resource, "zcta510-small.csv")
queryWindowSet = os.path.join(tests_resource, "zcta510-small.csv")
offset = 0
splitter = FileDataSplitter.CSV
gridType = "rtree"
indexType = "rtree"
numPartitions = 11
distance = 0.001
queryPolygonSet = os.path.join(tests_resource, "primaryroads-polygon.csv")
inputCount = 3000
inputBoundary = Envelope(
    minx=-171.090042, maxx=145.830505, miny=-14.373765, maxy=49.00127
)
matchCount = 17599
matchWithOriginalDuplicatesCount = 17738


class TestRectangleRDD(TestBase):

    def test_constructor(self):
        spatial_rdd = RectangleRDD(
            sparkContext=self.sc,
            InputLocation=inputLocation,
            Offset=offset,
            splitter=splitter,
            carryInputData=True,
            partitions=numPartitions,
        )

        spatial_rdd.analyze()

        assert inputCount == spatial_rdd.approximateTotalCount
        assert inputBoundary == spatial_rdd.boundaryEnvelope

        spatial_rdd = RectangleRDD(
            self.sc, inputLocation, offset, splitter, True, numPartitions
        )

        spatial_rdd.analyze()

        assert inputCount == spatial_rdd.approximateTotalCount
        assert inputBoundary == spatial_rdd.boundaryEnvelope

    def test_empty_constructor(self):
        spatial_rdd = RectangleRDD(
            sparkContext=self.sc,
            InputLocation=inputLocation,
            Offset=offset,
            splitter=splitter,
            carryInputData=True,
            partitions=numPartitions,
        )

        spatial_rdd.analyze()
        spatial_rdd.buildIndex(IndexType.RTREE, False)

        spatial_rdd_copy = RectangleRDD()
        spatial_rdd_copy.rawJvmSpatialRDD = spatial_rdd.rawJvmSpatialRDD
        spatial_rdd_copy.analyze()

    def test_build_index_without_set_grid(self):
        spatial_rdd = RectangleRDD(
            sparkContext=self.sc,
            InputLocation=inputLocation,
            Offset=offset,
            splitter=splitter,
            carryInputData=True,
            partitions=numPartitions,
        )

        spatial_rdd.analyze()

        spatial_rdd.buildIndex(IndexType.RTREE, False)