mirror of https://github.com/apache/lucene.git
LUCENE-7103: further optimize LatLonPoint.newDistanceSort
This commit is contained in:
parent
0f949c8153
commit
1660b5630a
|
@ -26,9 +26,10 @@ import org.apache.lucene.index.SortedNumericDocValues;
|
|||
import org.apache.lucene.search.FieldComparator;
|
||||
import org.apache.lucene.search.LeafFieldComparator;
|
||||
import org.apache.lucene.search.Scorer;
|
||||
import org.apache.lucene.spatial.util.GeoDistanceUtils;
|
||||
import org.apache.lucene.spatial.util.GeoProjectionUtils;
|
||||
import org.apache.lucene.spatial.util.GeoRect;
|
||||
import org.apache.lucene.spatial.util.GeoUtils;
|
||||
import org.apache.lucene.util.SloppyMath;
|
||||
|
||||
/**
|
||||
* Compares documents by distance from an origin point
|
||||
|
@ -96,7 +97,7 @@ class LatLonPointDistanceComparator extends FieldComparator<Double> implements L
|
|||
crossesDateLine = false;
|
||||
} else {
|
||||
assert Double.isFinite(bottom);
|
||||
GeoRect box = GeoUtils.circleToBBox(longitude, latitude, bottom);
|
||||
GeoRect box = GeoUtils.circleToBBox(longitude, latitude, haversin2(bottom));
|
||||
// pre-encode our box to our integer encoding, so we don't have to decode
|
||||
// to double values for uncompetitive hits. This has some cost!
|
||||
int minLatEncoded = LatLonPoint.encodeLatitude(box.minLat);
|
||||
|
@ -166,7 +167,7 @@ class LatLonPointDistanceComparator extends FieldComparator<Double> implements L
|
|||
if (outsideBox == false) {
|
||||
double docLatitude = LatLonPoint.decodeLatitude(latitudeBits);
|
||||
double docLongitude = LatLonPoint.decodeLongitude(longitudeBits);
|
||||
minValue = Math.min(minValue, GeoDistanceUtils.haversin(latitude, longitude, docLatitude, docLongitude));
|
||||
minValue = Math.min(minValue, haversin1(latitude, longitude, docLatitude, docLongitude));
|
||||
}
|
||||
}
|
||||
return Double.compare(bottom, minValue);
|
||||
|
@ -174,7 +175,7 @@ class LatLonPointDistanceComparator extends FieldComparator<Double> implements L
|
|||
|
||||
@Override
|
||||
public void copy(int slot, int doc) throws IOException {
|
||||
values[slot] = distance(doc);
|
||||
values[slot] = sortKey(doc);
|
||||
}
|
||||
|
||||
@Override
|
||||
|
@ -190,17 +191,17 @@ class LatLonPointDistanceComparator extends FieldComparator<Double> implements L
|
|||
|
||||
@Override
|
||||
public Double value(int slot) {
|
||||
return Double.valueOf(values[slot]);
|
||||
return Double.valueOf(haversin2(values[slot]));
|
||||
}
|
||||
|
||||
@Override
|
||||
public int compareTop(int doc) throws IOException {
|
||||
return Double.compare(topValue, distance(doc));
|
||||
return Double.compare(topValue, haversin2(sortKey(doc)));
|
||||
}
|
||||
|
||||
// TODO: optimize for single-valued case?
|
||||
// TODO: do all kinds of other optimizations!
|
||||
double distance(int doc) {
|
||||
double sortKey(int doc) {
|
||||
currentDocs.setDocument(doc);
|
||||
|
||||
int numValues = currentDocs.count();
|
||||
|
@ -213,8 +214,32 @@ class LatLonPointDistanceComparator extends FieldComparator<Double> implements L
|
|||
long encoded = currentDocs.valueAt(i);
|
||||
double docLatitude = LatLonPoint.decodeLatitude((int)(encoded >> 32));
|
||||
double docLongitude = LatLonPoint.decodeLongitude((int)(encoded & 0xFFFFFFFF));
|
||||
minValue = Math.min(minValue, GeoDistanceUtils.haversin(latitude, longitude, docLatitude, docLongitude));
|
||||
minValue = Math.min(minValue, haversin1(latitude, longitude, docLatitude, docLongitude));
|
||||
}
|
||||
return minValue;
|
||||
}
|
||||
|
||||
// sort by first part of the haversin computation. note that this value is meaningless to the user.
|
||||
// invoke haversin2() to "complete" the calculation and get a distance in meters.
|
||||
static double haversin1(double lat1, double lon1, double lat2, double lon2) {
|
||||
double dLat = SloppyMath.TO_RADIANS * (lat2 - lat1);
|
||||
double dLon = SloppyMath.TO_RADIANS * (lon2 - lon1);
|
||||
lat1 = SloppyMath.TO_RADIANS * (lat1);
|
||||
lat2 = SloppyMath.TO_RADIANS * (lat2);
|
||||
|
||||
final double sinDLatO2 = SloppyMath.sin(dLat / 2);
|
||||
final double sinDLonO2 = SloppyMath.sin(dLon / 2);
|
||||
|
||||
return sinDLatO2*sinDLatO2 + sinDLonO2 * sinDLonO2 * SloppyMath.cos(lat1) * SloppyMath.cos(lat2);
|
||||
}
|
||||
|
||||
// second half of the haversin calculation, used to convert results from haversin1 (used internally
|
||||
// for sorting) for display purposes.
|
||||
static double haversin2(double partial) {
|
||||
if (Double.isInfinite(partial)) {
|
||||
return partial;
|
||||
}
|
||||
double c = 2 * SloppyMath.asin(Math.sqrt(partial));
|
||||
return (GeoProjectionUtils.SEMIMAJOR_AXIS * c);
|
||||
}
|
||||
}
|
||||
|
|
|
@ -41,7 +41,7 @@ public class TestBigIntegerPoint extends LuceneTestCase {
|
|||
|
||||
// search and verify we found our doc
|
||||
IndexReader reader = writer.getReader();
|
||||
IndexSearcher searcher = newSearcher(reader, false);
|
||||
IndexSearcher searcher = newSearcher(reader);
|
||||
assertEquals(1, searcher.count(BigIntegerPoint.newExactQuery("field", large)));
|
||||
assertEquals(1, searcher.count(BigIntegerPoint.newRangeQuery("field", large.subtract(BigInteger.ONE), large.add(BigInteger.ONE))));
|
||||
assertEquals(1, searcher.count(BigIntegerPoint.newSetQuery("field", large)));
|
||||
|
@ -66,7 +66,7 @@ public class TestBigIntegerPoint extends LuceneTestCase {
|
|||
|
||||
// search and verify we found our doc
|
||||
IndexReader reader = writer.getReader();
|
||||
IndexSearcher searcher = newSearcher(reader, false);
|
||||
IndexSearcher searcher = newSearcher(reader);
|
||||
assertEquals(1, searcher.count(BigIntegerPoint.newExactQuery("field", negative)));
|
||||
assertEquals(1, searcher.count(BigIntegerPoint.newRangeQuery("field", negative.subtract(BigInteger.ONE), negative.add(BigInteger.ONE))));
|
||||
|
||||
|
|
|
@ -41,7 +41,7 @@ public class TestInetAddressPoint extends LuceneTestCase {
|
|||
|
||||
// search and verify we found our doc
|
||||
IndexReader reader = writer.getReader();
|
||||
IndexSearcher searcher = newSearcher(reader, false);
|
||||
IndexSearcher searcher = newSearcher(reader);
|
||||
assertEquals(1, searcher.count(InetAddressPoint.newExactQuery("field", address)));
|
||||
assertEquals(1, searcher.count(InetAddressPoint.newPrefixQuery("field", address, 24)));
|
||||
assertEquals(1, searcher.count(InetAddressPoint.newRangeQuery("field", InetAddress.getByName("1.2.3.3"), InetAddress.getByName("1.2.3.5"))));
|
||||
|
@ -68,7 +68,7 @@ public class TestInetAddressPoint extends LuceneTestCase {
|
|||
|
||||
// search and verify we found our doc
|
||||
IndexReader reader = writer.getReader();
|
||||
IndexSearcher searcher = newSearcher(reader, false);
|
||||
IndexSearcher searcher = newSearcher(reader);
|
||||
assertEquals(1, searcher.count(InetAddressPoint.newExactQuery("field", address)));
|
||||
assertEquals(1, searcher.count(InetAddressPoint.newPrefixQuery("field", address, 64)));
|
||||
assertEquals(1, searcher.count(InetAddressPoint.newRangeQuery("field", InetAddress.getByName("fec0::f66c"), InetAddress.getByName("fec0::f66e"))));
|
||||
|
|
|
@ -39,7 +39,7 @@ public class TestLatLonPoint extends LuceneTestCase {
|
|||
|
||||
// search and verify we found our doc
|
||||
IndexReader reader = writer.getReader();
|
||||
IndexSearcher searcher = newSearcher(reader, false);
|
||||
IndexSearcher searcher = newSearcher(reader);
|
||||
assertEquals(1, searcher.count(LatLonPoint.newBoxQuery("field", 18, 19, -66, -65)));
|
||||
|
||||
reader.close();
|
||||
|
|
|
@ -55,7 +55,7 @@ public class TestLatLonPointDistanceQuery extends LuceneTestCase {
|
|||
|
||||
// search within 50km and verify we found our doc
|
||||
IndexReader reader = writer.getReader();
|
||||
IndexSearcher searcher = newSearcher(reader, false);
|
||||
IndexSearcher searcher = newSearcher(reader);
|
||||
assertEquals(1, searcher.count(LatLonPoint.newDistanceQuery("field", 18, -65, 50_000)));
|
||||
|
||||
reader.close();
|
||||
|
@ -148,7 +148,7 @@ public class TestLatLonPointDistanceQuery extends LuceneTestCase {
|
|||
writer.addDocument(doc);
|
||||
}
|
||||
IndexReader reader = writer.getReader();
|
||||
IndexSearcher searcher = new IndexSearcher(reader);
|
||||
IndexSearcher searcher = newSearcher(reader);
|
||||
|
||||
for (int i = 0; i < numQueries; i++) {
|
||||
double lat = -90 + 180.0 * random().nextDouble();
|
||||
|
|
|
@ -54,7 +54,7 @@ public class TestLatLonPointDistanceSort extends LuceneTestCase {
|
|||
iw.addDocument(doc);
|
||||
|
||||
IndexReader reader = iw.getReader();
|
||||
IndexSearcher searcher = new IndexSearcher(reader);
|
||||
IndexSearcher searcher = newSearcher(reader);
|
||||
iw.close();
|
||||
|
||||
Sort sort = new Sort(LatLonPoint.newDistanceSort("location", 40.7143528, -74.0059731));
|
||||
|
@ -91,7 +91,7 @@ public class TestLatLonPointDistanceSort extends LuceneTestCase {
|
|||
iw.addDocument(doc);
|
||||
|
||||
IndexReader reader = iw.getReader();
|
||||
IndexSearcher searcher = new IndexSearcher(reader);
|
||||
IndexSearcher searcher = newSearcher(reader);
|
||||
iw.close();
|
||||
|
||||
Sort sort = new Sort(LatLonPoint.newDistanceSort("location", 40.7143528, -74.0059731));
|
||||
|
@ -128,7 +128,7 @@ public class TestLatLonPointDistanceSort extends LuceneTestCase {
|
|||
iw.addDocument(doc);
|
||||
|
||||
IndexReader reader = iw.getReader();
|
||||
IndexSearcher searcher = new IndexSearcher(reader);
|
||||
IndexSearcher searcher = newSearcher(reader);
|
||||
iw.close();
|
||||
|
||||
SortField sortField = LatLonPoint.newDistanceSort("location", 40.7143528, -74.0059731);
|
||||
|
@ -234,7 +234,7 @@ public class TestLatLonPointDistanceSort extends LuceneTestCase {
|
|||
writer.addDocument(doc);
|
||||
}
|
||||
IndexReader reader = writer.getReader();
|
||||
IndexSearcher searcher = new IndexSearcher(reader);
|
||||
IndexSearcher searcher = newSearcher(reader);
|
||||
|
||||
for (int i = 0; i < numQueries; i++) {
|
||||
double lat = -90 + 180.0 * random().nextDouble();
|
||||
|
@ -289,4 +289,24 @@ public class TestLatLonPointDistanceSort extends LuceneTestCase {
|
|||
writer.close();
|
||||
dir.close();
|
||||
}
|
||||
|
||||
/** Test this method sorts the same way as real haversin */
|
||||
public void testPartialHaversin() {
|
||||
for (int i = 0; i < 100000; i++) {
|
||||
double centerLat = -90 + 180.0 * random().nextDouble();
|
||||
double centerLon = -180 + 360.0 * random().nextDouble();
|
||||
|
||||
double lat1 = -90 + 180.0 * random().nextDouble();
|
||||
double lon1 = -180 + 360.0 * random().nextDouble();
|
||||
|
||||
double lat2 = -90 + 180.0 * random().nextDouble();
|
||||
double lon2 = -180 + 360.0 * random().nextDouble();
|
||||
|
||||
int expected = Integer.signum(Double.compare(GeoDistanceUtils.haversin(centerLat, centerLon, lat1, lon1),
|
||||
GeoDistanceUtils.haversin(centerLat, centerLon, lat2, lon2)));
|
||||
int actual = Integer.signum(Double.compare(LatLonPointDistanceComparator.haversin1(centerLat, centerLon, lat1, lon1),
|
||||
LatLonPointDistanceComparator.haversin1(centerLat, centerLon, lat2, lon2)));
|
||||
assertEquals(expected, actual);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
|
Loading…
Reference in New Issue