| # Licensed to the Apache Software Foundation (ASF) under one |
| # or more contributor license agreements. See the NOTICE file |
| # distributed with this work for additional information |
| # regarding copyright ownership. The ASF licenses this file |
| # to you under the Apache License, Version 2.0 (the |
| # "License"); you may not use this file except in compliance |
| # with the License. You may obtain a copy of the License at |
| # |
| # http://www.apache.org/licenses/LICENSE-2.0 |
| # |
| # Unless required by applicable law or agreed to in writing, |
| # software distributed under the License is distributed on an |
| # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY |
| # KIND, either express or implied. See the License for the |
| # specific language governing permissions and limitations |
| # under the License. |
| |
| 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.spatialOperator import RangeQuery |
| 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(-171.090042, 145.830505, -14.373765, 49.00127) |
| matchCount = 17599 |
| matchWithOriginalDuplicatesCount = 17738 |
| |
| |
| class TestRectangleRange(TestBase): |
| query_envelope = Envelope(-90.01, -80.01, 30.01, 40.01) |
| loop_times = 1 |
| |
| def test_spatial_range_query(self): |
| spatial_rdd = RectangleRDD(self.sc, inputLocation, offset, splitter, True) |
| |
| for i in range(self.loop_times): |
| result_size = RangeQuery.SpatialRangeQuery( |
| spatial_rdd, self.query_envelope, False, False |
| ).count() |
| assert result_size == 193 |
| |
| assert ( |
| RangeQuery.SpatialRangeQuery(spatial_rdd, self.query_envelope, False, False) |
| .take(10)[1] |
| .getUserData() |
| is not None |
| ) |
| |
| def test_spatial_range_query_using_index(self): |
| spatial_rdd = RectangleRDD(self.sc, inputLocation, offset, splitter, True) |
| |
| spatial_rdd.buildIndex(IndexType.RTREE, False) |
| for i in range(self.loop_times): |
| result_size = RangeQuery.SpatialRangeQuery( |
| spatial_rdd, self.query_envelope, False, True |
| ).count() |
| assert result_size == 193 |
| |
| assert ( |
| RangeQuery.SpatialRangeQuery(spatial_rdd, self.query_envelope, False, True) |
| .take(10)[1] |
| .getUserData() |
| is not None |
| ) |