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* 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.
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package org.apache.lucene.document;
import java.util.Arrays;
import java.util.Collection;
import org.apache.lucene.index.PointValues;
import org.apache.lucene.search.PointInSetQuery;
import org.apache.lucene.search.PointRangeQuery;
import org.apache.lucene.search.Query;
import org.apache.lucene.util.BytesRef;
import org.apache.lucene.util.NumericUtils;
An indexed float
field for fast range filters. If you also need to store the value, you should add a separate StoredField
instance.
Finding all documents within an N-dimensional at search time is
efficient. Multiple values for the same field in one document
is allowed.
This field defines static factory methods for creating common queries:
newExactQuery(String, float)
for matching an exact 1D point. newSetQuery(String, float...)
for matching a set of 1D values. newRangeQuery(String, float, float)
for matching a 1D range. newRangeQuery(String, float[], float[])
for matching points/ranges in n-dimensional space.
See Also:
/**
* An indexed {@code float} field for fast range filters. If you also
* need to store the value, you should add a separate {@link StoredField} instance.
* <p>
* Finding all documents within an N-dimensional at search time is
* efficient. Multiple values for the same field in one document
* is allowed.
* <p>
* This field defines static factory methods for creating common queries:
* <ul>
* <li>{@link #newExactQuery(String, float)} for matching an exact 1D point.
* <li>{@link #newSetQuery(String, float...)} for matching a set of 1D values.
* <li>{@link #newRangeQuery(String, float, float)} for matching a 1D range.
* <li>{@link #newRangeQuery(String, float[], float[])} for matching points/ranges in n-dimensional space.
* </ul>
* @see PointValues
*/
public final class FloatPoint extends Field {
Return the least float that compares greater than f
consistently with Float.compare
. The only difference with Math.nextUp(float)
is that this method returns +0f
when the argument is -0f
. /**
* Return the least float that compares greater than {@code f} consistently
* with {@link Float#compare}. The only difference with
* {@link Math#nextUp(float)} is that this method returns {@code +0f} when
* the argument is {@code -0f}.
*/
public static float nextUp(float f) {
if (Float.floatToIntBits(f) == 0x8000_0000) { // -0f
return +0f;
}
return Math.nextUp(f);
}
Return the greatest float that compares less than f
consistently with Float.compare
. The only difference with Math.nextDown(float)
is that this method returns -0f
when the argument is +0f
. /**
* Return the greatest float that compares less than {@code f} consistently
* with {@link Float#compare}. The only difference with
* {@link Math#nextDown(float)} is that this method returns {@code -0f} when
* the argument is {@code +0f}.
*/
public static float nextDown(float f) {
if (Float.floatToIntBits(f) == 0) { // +0f
return -0f;
}
return Math.nextDown(f);
}
private static FieldType getType(int numDims) {
FieldType type = new FieldType();
type.setDimensions(numDims, Float.BYTES);
type.freeze();
return type;
}
@Override
public void setFloatValue(float value) {
setFloatValues(value);
}
Change the values of this field /** Change the values of this field */
public void setFloatValues(float... point) {
if (type.pointDimensionCount() != point.length) {
throw new IllegalArgumentException("this field (name=" + name + ") uses " + type.pointDimensionCount() + " dimensions; cannot change to (incoming) " + point.length + " dimensions");
}
fieldsData = pack(point);
}
@Override
public void setBytesValue(BytesRef bytes) {
throw new IllegalArgumentException("cannot change value type from float to BytesRef");
}
@Override
public Number numericValue() {
if (type.pointDimensionCount() != 1) {
throw new IllegalStateException("this field (name=" + name + ") uses " + type.pointDimensionCount() + " dimensions; cannot convert to a single numeric value");
}
BytesRef bytes = (BytesRef) fieldsData;
assert bytes.length == Float.BYTES;
return decodeDimension(bytes.bytes, bytes.offset);
}
Pack a float point into a BytesRef
Params: - point – float[] value
Throws: - IllegalArgumentException – is the value is null or of zero length
/**
* Pack a float point into a BytesRef
*
* @param point float[] value
* @throws IllegalArgumentException is the value is null or of zero length
*/
public static BytesRef pack(float... point) {
if (point == null) {
throw new IllegalArgumentException("point must not be null");
}
if (point.length == 0) {
throw new IllegalArgumentException("point must not be 0 dimensions");
}
byte[] packed = new byte[point.length * Float.BYTES];
for (int dim = 0; dim < point.length; dim++) {
encodeDimension(point[dim], packed, dim * Float.BYTES);
}
return new BytesRef(packed);
}
Creates a new FloatPoint, indexing the
provided N-dimensional float point.
@param name field name
@param point float[] value
@throws IllegalArgumentException if the field name or value is null.
/** Creates a new FloatPoint, indexing the
* provided N-dimensional float point.
*
* @param name field name
* @param point float[] value
* @throws IllegalArgumentException if the field name or value is null.
*/
public FloatPoint(String name, float... point) {
super(name, pack(point), getType(point.length));
}
@Override
public String toString() {
StringBuilder result = new StringBuilder();
result.append(getClass().getSimpleName());
result.append(" <");
result.append(name);
result.append(':');
BytesRef bytes = (BytesRef) fieldsData;
for (int dim = 0; dim < type.pointDimensionCount(); dim++) {
if (dim > 0) {
result.append(',');
}
result.append(decodeDimension(bytes.bytes, bytes.offset + dim * Float.BYTES));
}
result.append('>');
return result.toString();
}
// public helper methods (e.g. for queries)
Encode single float dimension /** Encode single float dimension */
public static void encodeDimension(float value, byte dest[], int offset) {
NumericUtils.intToSortableBytes(NumericUtils.floatToSortableInt(value), dest, offset);
}
Decode single float dimension /** Decode single float dimension */
public static float decodeDimension(byte value[], int offset) {
return NumericUtils.sortableIntToFloat(NumericUtils.sortableBytesToInt(value, offset));
}
// static methods for generating queries
Create a query for matching an exact float value.
This is for simple one-dimension points, for multidimensional points use newRangeQuery(String, float[], float[])
instead.
Params: - field – field name. must not be
null
. - value – float value
Throws: - IllegalArgumentException – if
field
is null.
Returns: a query matching documents with this exact value
/**
* Create a query for matching an exact float value.
* <p>
* This is for simple one-dimension points, for multidimensional points use
* {@link #newRangeQuery(String, float[], float[])} instead.
*
* @param field field name. must not be {@code null}.
* @param value float value
* @throws IllegalArgumentException if {@code field} is null.
* @return a query matching documents with this exact value
*/
public static Query newExactQuery(String field, float value) {
return newRangeQuery(field, value, value);
}
Create a range query for float values.
This is for simple one-dimension ranges, for multidimensional ranges use newRangeQuery(String, float[], float[])
instead.
You can have half-open ranges (which are in fact </≤ or >/≥ queries) by setting lowerValue = Float.NEGATIVE_INFINITY
or upperValue = Float.POSITIVE_INFINITY
.
Ranges are inclusive. For exclusive ranges, pass nextUp(lowerValue)
or nextDown(upperValue)
.
Range comparisons are consistent with Float.compareTo(Float)
.
Params: - field – field name. must not be
null
. - lowerValue – lower portion of the range (inclusive).
- upperValue – upper portion of the range (inclusive).
Throws: - IllegalArgumentException – if
field
is null.
Returns: a query matching documents within this range.
/**
* Create a range query for float values.
* <p>
* This is for simple one-dimension ranges, for multidimensional ranges use
* {@link #newRangeQuery(String, float[], float[])} instead.
* <p>
* You can have half-open ranges (which are in fact </≤ or >/≥ queries)
* by setting {@code lowerValue = Float.NEGATIVE_INFINITY} or {@code upperValue = Float.POSITIVE_INFINITY}.
* <p> Ranges are inclusive. For exclusive ranges, pass {@link #nextUp(float) nextUp(lowerValue)}
* or {@link #nextUp(float) nextDown(upperValue)}.
* <p>
* Range comparisons are consistent with {@link Float#compareTo(Float)}.
*
* @param field field name. must not be {@code null}.
* @param lowerValue lower portion of the range (inclusive).
* @param upperValue upper portion of the range (inclusive).
* @throws IllegalArgumentException if {@code field} is null.
* @return a query matching documents within this range.
*/
public static Query newRangeQuery(String field, float lowerValue, float upperValue) {
return newRangeQuery(field, new float[] { lowerValue }, new float[] { upperValue });
}
Create a range query for n-dimensional float values.
You can have half-open ranges (which are in fact </≤ or >/≥ queries) by setting lowerValue[i] = Float.NEGATIVE_INFINITY
or upperValue[i] = Float.POSITIVE_INFINITY
.
Ranges are inclusive. For exclusive ranges, pass Math#nextUp(lowerValue[i])
or Math.nextDown(upperValue[i])
.
Range comparisons are consistent with Float.compareTo(Float)
.
Params: - field – field name. must not be
null
. - lowerValue – lower portion of the range (inclusive). must not be
null
. - upperValue – upper portion of the range (inclusive). must not be
null
.
Throws: - IllegalArgumentException – if
field
is null, if lowerValue
is null, if upperValue
is null, or if lowerValue.length != upperValue.length
Returns: a query matching documents within this range.
/**
* Create a range query for n-dimensional float values.
* <p>
* You can have half-open ranges (which are in fact </≤ or >/≥ queries)
* by setting {@code lowerValue[i] = Float.NEGATIVE_INFINITY} or {@code upperValue[i] = Float.POSITIVE_INFINITY}.
* <p> Ranges are inclusive. For exclusive ranges, pass {@code Math#nextUp(lowerValue[i])}
* or {@code Math.nextDown(upperValue[i])}.
* <p>
* Range comparisons are consistent with {@link Float#compareTo(Float)}.
*
* @param field field name. must not be {@code null}.
* @param lowerValue lower portion of the range (inclusive). must not be {@code null}.
* @param upperValue upper portion of the range (inclusive). must not be {@code null}.
* @throws IllegalArgumentException if {@code field} is null, if {@code lowerValue} is null, if {@code upperValue} is null,
* or if {@code lowerValue.length != upperValue.length}
* @return a query matching documents within this range.
*/
public static Query newRangeQuery(String field, float[] lowerValue, float[] upperValue) {
PointRangeQuery.checkArgs(field, lowerValue, upperValue);
return new PointRangeQuery(field, pack(lowerValue).bytes, pack(upperValue).bytes, lowerValue.length) {
@Override
protected String toString(int dimension, byte[] value) {
return Float.toString(decodeDimension(value, 0));
}
};
}
Create a query matching any of the specified 1D values. This is the points equivalent of TermsQuery
. Params: - field – field name. must not be
null
. - values – all values to match
/**
* Create a query matching any of the specified 1D values. This is the points equivalent of {@code TermsQuery}.
*
* @param field field name. must not be {@code null}.
* @param values all values to match
*/
public static Query newSetQuery(String field, float... values) {
// Don't unexpectedly change the user's incoming values array:
float[] sortedValues = values.clone();
Arrays.sort(sortedValues);
final BytesRef encoded = new BytesRef(new byte[Float.BYTES]);
return new PointInSetQuery(field, 1, Float.BYTES,
new PointInSetQuery.Stream() {
int upto;
@Override
public BytesRef next() {
if (upto == sortedValues.length) {
return null;
} else {
encodeDimension(sortedValues[upto], encoded.bytes, 0);
upto++;
return encoded;
}
}
}) {
@Override
protected String toString(byte[] value) {
assert value.length == Float.BYTES;
return Float.toString(decodeDimension(value, 0));
}
};
}
Create a query matching any of the specified 1D values. This is the points equivalent of TermsQuery
. Params: - field – field name. must not be
null
. - values – all values to match
/**
* Create a query matching any of the specified 1D values. This is the points equivalent of {@code TermsQuery}.
*
* @param field field name. must not be {@code null}.
* @param values all values to match
*/
public static Query newSetQuery(String field, Collection<Float> values) {
Float[] boxed = values.toArray(new Float[0]);
float[] unboxed = new float[boxed.length];
for (int i = 0; i < boxed.length; i++) {
unboxed[i] = boxed[i];
}
return newSetQuery(field, unboxed);
}
}