iGN5117 commented on code in PR #878:
URL: https://github.com/apache/sedona/pull/878#discussion_r1246972419
##########
sql/common/src/test/scala/org/apache/sedona/sql/predicateJoinTestScala.scala:
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@@ -403,7 +403,41 @@ class predicateJoinTestScala extends TestBaseScala {
assert(distanceJoinDf.queryExecution.sparkPlan.collect { case p:
DistanceJoinExec => p }.size === 1)
assert(distanceJoinDf.count() == expected)
})
+ }
+
+ it("Passed ST_HausdorffDistance in a spatial join") {
+ val sampleCount = 100
+ val distanceCandidates = Seq(1, 2)
+ val densityFrac = 0.6
+ val inputPoint = buildPointDf.limit(sampleCount).repartition(5)
+ val inputPolygon = buildPolygonDf.limit(sampleCount).repartition(3)
+ distanceCandidates.foreach(distance => {
+
+ //DensityFrac specified, <= distance
+ val expectedDensityIntersects =
bruteForceDistanceJoinHausdorff(sampleCount, distance, densityFrac, true)
+ val distanceDensityIntersectsDF =
inputPoint.alias("pointDF").join(inputPolygon.alias("polygonDF"),
expr(s"ST_HausdorffDistance(pointDF.pointshape, polygonDF.polygonshape,
$densityFrac) <= $distance"))
+ assert(distanceDensityIntersectsDF.queryExecution.sparkPlan.collect {
case p: DistanceJoinExec => p }.size === 1)
+ assert(distanceDensityIntersectsDF.count() ==
expectedDensityIntersects)
Review Comment:
Have added candidates 1, 2, 5, 10. These yield result 100, 298, 688, 1258
respectively for a sample size of 100
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