private static Shape fromSpatial4JShape(com.spatial4j.core.shape.Shape shape) {
if (shape instanceof com.spatial4j.core.shape.Point) {
com.spatial4j.core.shape.Point point = (com.spatial4j.core.shape.Point) shape;
return point(point.getX(), point.getY());
}
if (shape instanceof com.spatial4j.core.shape.Circle) {
com.spatial4j.core.shape.Circle circle = (com.spatial4j.core.shape.Circle) shape;
return circle(
point(circle.getCenter().getX(), circle.getCenter().getY()), circle.getRadius());
}
if (shape instanceof com.spatial4j.core.shape.Rectangle) {
com.spatial4j.core.shape.Rectangle rectangle = (com.spatial4j.core.shape.Rectangle) shape;
return rectangle(
rectangle.getMinX(), rectangle.getMaxX(), rectangle.getMinY(), rectangle.getMaxY());
}
if (shape instanceof com.spatial4j.core.shape.impl.BufferedLineString) {
com.spatial4j.core.shape.impl.BufferedLineString spatialLineString =
(com.spatial4j.core.shape.impl.BufferedLineString) shape;
List<com.spatial4j.core.shape.Point> spatialPoints = spatialLineString.getPoints();
Point[] points = new Point[spatialPoints.size()];
for (int i = 0; i < points.length; i++)
points[i] = point(spatialPoints.get(i).getX(), spatialPoints.get(i).getY());
return lineString(points);
}
if (shape instanceof com.spatial4j.core.shape.jts.JtsGeometry)
return fromJtsGeometry((JtsGeometry) shape);
throw new IllegalArgumentException("Unsupported shape type: " + shape.getClass().getName());
}
private Query getQuery(Function inner, Context context) {
RefLiteralPair innerPair = new RefLiteralPair(inner);
if (!innerPair.isValid()) {
return null;
}
GeoPointFieldMapper mapper =
getGeoPointFieldMapper(
innerPair.reference().info().ident().columnIdent().fqn(), context.mapperService);
Shape shape = (Shape) innerPair.input().value();
Geometry geometry = JtsSpatialContext.GEO.getGeometryFrom(shape);
IndexGeoPointFieldData fieldData = context.fieldDataService.getForField(mapper);
Filter filter;
if (geometry.isRectangle()) {
Rectangle boundingBox = shape.getBoundingBox();
filter =
new InMemoryGeoBoundingBoxFilter(
new GeoPoint(boundingBox.getMaxY(), boundingBox.getMinX()),
new GeoPoint(boundingBox.getMinY(), boundingBox.getMaxX()),
fieldData);
} else {
Coordinate[] coordinates = geometry.getCoordinates();
GeoPoint[] points = new GeoPoint[coordinates.length];
for (int i = 0; i < coordinates.length; i++) {
Coordinate coordinate = coordinates[i];
points[i] = new GeoPoint(coordinate.y, coordinate.x);
}
filter = new GeoPolygonFilter(fieldData, points);
}
return new FilteredQuery(
Queries.newMatchAllQuery(), context.indexCache.filter().cache(filter));
}
protected Rectangle randomRectangle() {
final Rectangle WB = ctx.getWorldBounds();
int rW = (int) randomGaussianMeanMax(10, WB.getWidth());
double xMin = randomIntBetween((int) WB.getMinX(), (int) WB.getMaxX() - rW);
double xMax = xMin + rW;
int yH = (int) randomGaussianMeanMax(Math.min(rW, WB.getHeight()), WB.getHeight());
double yMin = randomIntBetween((int) WB.getMinY(), (int) WB.getMaxY() - yH);
double yMax = yMin + yH;
return ctx.makeRectangle(xMin, xMax, yMin, yMax);
}
/**
* Spatial4J shapes have no knowledge of directed edges. For this reason, a bounding box that
* wraps the dateline can have a min longitude that is mathematically > than the Rectangles'
* minX value. This is an issue for geometric collections (e.g., MultiPolygon and ShapeCollection)
* Until geometry logic can be cleaned up in Spatial4J, ES provides the following expansion
* algorithm for GeometryCollections
*/
private Rectangle expandBBox(Rectangle bbox, Rectangle expand) {
if (bbox.equals(expand) || bbox.equals(SpatialContext.GEO.getWorldBounds())) {
return bbox;
}
double minX = bbox.getMinX();
double eMinX = expand.getMinX();
double maxX = bbox.getMaxX();
double eMaxX = expand.getMaxX();
double minY = bbox.getMinY();
double eMinY = expand.getMinY();
double maxY = bbox.getMaxY();
double eMaxY = expand.getMaxY();
bbox.reset(
Math.min(Math.min(minX, maxX), Math.min(eMinX, eMaxX)),
Math.max(Math.max(minX, maxX), Math.max(eMinX, eMaxX)),
Math.min(Math.min(minY, maxY), Math.min(eMinY, eMaxY)),
Math.max(Math.max(minY, maxY), Math.max(eMinY, eMaxY)));
return bbox;
}
/** Returns either 0 for none, 1 for some, or 4 for all. */
private int numCornersIntersect(Rectangle r) {
// We play some logic games to avoid calling contains() which can be expensive.
boolean bool; // if true then all corners intersect, if false then no corners intersect
// for partial, we exit early with 1 and ignore bool.
bool = (contains(r.getMinX(), r.getMinY()));
if (contains(r.getMinX(), r.getMaxY())) {
if (!bool) return 1; // partial
} else {
if (bool) return 1; // partial
}
if (contains(r.getMaxX(), r.getMinY())) {
if (!bool) return 1; // partial
} else {
if (bool) return 1; // partial
}
if (contains(r.getMaxX(), r.getMaxY())) {
if (!bool) return 1; // partial
} else {
if (bool) return 1; // partial
}
return bool ? 4 : 0;
}
protected Point randomPoint() {
final Rectangle WB = ctx.getWorldBounds();
return ctx.makePoint(
randomIntBetween((int) WB.getMinX(), (int) WB.getMaxX()),
randomIntBetween((int) WB.getMinY(), (int) WB.getMaxY()));
}
@Test
public void geohashRecursiveRandom() {
final String fieldName = "geohashRecursiveRandom"; // has length 12
// 1. Iterate test with the cluster at some worldly point of interest
Point[] clusterCenters =
new Point[] {new PointImpl(0, 0), new PointImpl(0, 90), new PointImpl(0, -90)};
for (Point clusterCenter : clusterCenters) {
// 2. Iterate on size of cluster (a really small one and a large one)
String hashCenter =
GeohashUtils.encodeLatLon(clusterCenter.getY(), clusterCenter.getX(), PRECISION);
// calculate the number of degrees in the smallest grid box size (use for both lat & lon)
String smallBox = hashCenter.substring(0, hashCenter.length() - 1); // chop off leaf precision
Rectangle clusterDims = GeohashUtils.decodeBoundary(smallBox, ctx);
double smallDegrees =
Math.max(
clusterDims.getMaxX() - clusterDims.getMinX(),
clusterDims.getMaxY() - clusterDims.getMinY());
assert smallDegrees < 1;
double largeDegrees = 20d; // good large size; don't use >=45 for this test code to work
double[] sideDegrees = {largeDegrees, smallDegrees};
for (double sideDegree : sideDegrees) {
// 3. Index random points in this cluster box
clearIndex();
List<Point> points = new ArrayList<Point>();
for (int i = 0; i < 20; i++) {
double x = random.nextDouble() * sideDegree - sideDegree / 2 + clusterCenter.getX();
double y = random.nextDouble() * sideDegree - sideDegree / 2 + clusterCenter.getY();
final Point pt = normPointXY(x, y);
points.add(pt);
assertU(adoc("id", "" + i, fieldName, pt.getY() + "," + pt.getX()));
}
assertU(commit());
// 3. Use 4 query centers. Each is radially out from each corner of cluster box by twice
// distance to box edge.
for (double qcXoff :
new double[] {sideDegree, -sideDegree}) { // query-center X offset from cluster center
for (double qcYoff :
new double[] {sideDegree, -sideDegree}) { // query-center Y offset from cluster center
Point queryCenter =
normPointXY(qcXoff + clusterCenter.getX(), qcYoff + clusterCenter.getY());
double[] distRange = calcDistRange(queryCenter, clusterCenter, sideDegree);
// 4.1 query a small box getting nothing
final String queryCenterStr = queryCenter.getY() + "," + queryCenter.getX();
checkHits(fieldName, queryCenterStr, distRange[0] * 0.99, 0);
// 4.2 Query a large box enclosing the cluster, getting everything
checkHits(fieldName, queryCenterStr, distRange[1] * 1.01, points.size());
// 4.3 Query a medium box getting some (calculate the correct solution and verify)
double queryDist = distRange[0] + (distRange[1] - distRange[0]) / 2; // average
// Find matching points. Put into int[] of doc ids which is the same thing as the index
// into points list.
int[] ids = new int[points.size()];
int ids_sz = 0;
for (int i = 0; i < points.size(); i++) {
Point point = points.get(i);
if (calcDist(queryCenter, point) <= queryDist) ids[ids_sz++] = i;
}
ids = Arrays.copyOf(ids, ids_sz);
// assert ids_sz > 0 (can't because randomness keeps us from being able to)
checkHits(fieldName, queryCenterStr, queryDist, ids.length, ids);
}
}
} // for sideDegree
} // for clusterCenter
} // randomTest()