Merge branch 'master' into point_set_query

Conflicts:
	lucene/core/src/java/org/apache/lucene/document/IntPoint.java
This commit is contained in:
Mike McCandless 2016-02-23 17:15:20 -05:00
commit 8a4c19777e
20 changed files with 685 additions and 617 deletions

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@ -16,14 +16,22 @@
*/
package org.apache.lucene.document;
import org.apache.lucene.search.PointRangeQuery;
import org.apache.lucene.util.BytesRef;
/** A binary field that is indexed dimensionally such that finding
* all documents within an N-dimensional shape or range at search time is
* efficient. Multiple values for the same field in one documents
* is allowed. */
/**
* A binary field that is indexed dimensionally such that finding
* all documents within an N-dimensional shape or range at search time is
* efficient. Multiple values for the same field in one documents
* is allowed.
* <p>
* This field defines static factory methods for creating common queries:
* <ul>
* <li>{@link #newExactQuery newExactQuery()} for matching an exact 1D point.
* <li>{@link #newRangeQuery newRangeQuery()} for matching a 1D range.
* <li>{@link #newMultiRangeQuery newMultiRangeQuery()} for matching points/ranges in n-dimensional space.
* </ul>
*/
public final class BinaryPoint extends Field {
private static FieldType getType(byte[][] point) {
@ -107,4 +115,85 @@ public final class BinaryPoint extends Field {
throw new IllegalArgumentException("packedPoint is length=" + packedPoint.length + " but type.pointDimensionCount()=" + type.pointDimensionCount() + " and type.pointNumBytes()=" + type.pointNumBytes());
}
}
// static methods for generating queries
/**
* Create a query for matching an exact binary value.
* <p>
* This is for simple one-dimension points, for multidimensional points use
* {@link #newMultiRangeQuery newMultiRangeQuery()} instead.
*
* @param field field name. must not be {@code null}.
* @param value binary value
* @throws IllegalArgumentException if {@code field} is null or {@code value} is null
* @return a query matching documents with this exact value
*/
public static PointRangeQuery newExactQuery(String field, byte[] value) {
if (value == null) {
throw new IllegalArgumentException("value cannot be null");
}
return newRangeQuery(field, value, true, value, true);
}
/**
* Create a range query for binary values.
* <p>
* This is for simple one-dimension ranges, for multidimensional ranges use
* {@link #newMultiRangeQuery newMultiRangeQuery()} instead.
* <p>
* You can have half-open ranges (which are in fact &lt;/&le; or &gt;/&ge; queries)
* by setting the {@code lowerValue} or {@code upperValue} to {@code null}.
* <p>
* By setting inclusive ({@code lowerInclusive} or {@code upperInclusive}) to false, it will
* match all documents excluding the bounds, with inclusive on, the boundaries are hits, too.
*
* @param field field name. must not be {@code null}.
* @param lowerValue lower portion of the range. {@code null} means "open".
* @param lowerInclusive {@code true} if the lower portion of the range is inclusive, {@code false} if it should be excluded.
* @param upperValue upper portion of the range. {@code null} means "open".
* @param upperInclusive {@code true} if the upper portion of the range is inclusive, {@code false} if it should be excluded.
* @throws IllegalArgumentException if {@code field} is null.
* @return a query matching documents within this range.
*/
public static PointRangeQuery newRangeQuery(String field, byte[] lowerValue, boolean lowerInclusive, byte[] upperValue, boolean upperInclusive) {
return newMultiRangeQuery(field, new byte[][] {lowerValue}, new boolean[] {lowerInclusive}, new byte[][] {upperValue}, new boolean[] {upperInclusive});
}
/**
* Create a multidimensional range query for binary values.
* <p>
* You can have half-open ranges (which are in fact &lt;/&le; or &gt;/&ge; queries)
* by setting a {@code lowerValue} element or {@code upperValue} element to {@code null}.
* <p>
* By setting a dimension's inclusive ({@code lowerInclusive} or {@code upperInclusive}) to false, it will
* match all documents excluding the bounds, with inclusive on, the boundaries are hits, too.
*
* @param field field name. must not be {@code null}.
* @param lowerValue lower portion of the range. {@code null} values mean "open" for that dimension.
* @param lowerInclusive {@code true} if the lower portion of the range is inclusive, {@code false} if it should be excluded.
* @param upperValue upper portion of the range. {@code null} values mean "open" for that dimension.
* @param upperInclusive {@code true} if the upper portion of the range is inclusive, {@code false} if it should be excluded.
* @throws IllegalArgumentException if {@code field} is null, or if {@code lowerValue.length != upperValue.length}
* @return a query matching documents within this range.
*/
public static PointRangeQuery newMultiRangeQuery(String field, byte[][] lowerValue, boolean[] lowerInclusive, byte[][] upperValue, boolean[] upperInclusive) {
PointRangeQuery.checkArgs(field, lowerValue, upperValue);
return new PointRangeQuery(field, lowerValue, lowerInclusive, upperValue, upperInclusive) {
@Override
protected String toString(byte[] value) {
assert value != null;
StringBuilder sb = new StringBuilder();
sb.append("binary(");
for (int i = 0; i < value.length; i++) {
if (i > 0) {
sb.append(' ');
}
sb.append(Integer.toHexString(value[i] & 0xFF));
}
sb.append(')');
return sb.toString();
}
};
}
}

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@ -16,14 +16,23 @@
*/
package org.apache.lucene.document;
import org.apache.lucene.search.PointRangeQuery;
import org.apache.lucene.util.BytesRef;
import org.apache.lucene.util.NumericUtils;
/** A double field that is indexed dimensionally such that finding
* all documents within an N-dimensional shape or range at search time is
* efficient. Multiple values for the same field in one documents
* is allowed. */
/**
* A double field that is indexed dimensionally such that finding
* all documents within an N-dimensional shape or range at search time is
* efficient. Multiple values for the same field in one documents
* is allowed.
* <p>
* This field defines static factory methods for creating common queries:
* <ul>
* <li>{@link #newExactQuery newExactQuery()} for matching an exact 1D point.
* <li>{@link #newRangeQuery newRangeQuery()} for matching a 1D range.
* <li>{@link #newMultiRangeQuery newMultiRangeQuery()} for matching points/ranges in n-dimensional space.
* </ul>
*/
public final class DoublePoint extends Field {
private static FieldType getType(int numDims) {
@ -78,7 +87,7 @@ public final class DoublePoint extends Field {
}
/** Creates a new DoublePoint, indexing the
* provided N-dimensional int point.
* provided N-dimensional double point.
*
* @param name field name
* @param point double[] value
@ -108,10 +117,8 @@ public final class DoublePoint extends Field {
return result.toString();
}
// public helper methods (e.g. for queries)
/** Encode n-dimensional double point into binary encoding */
public static byte[][] encode(Double value[]) {
private static byte[][] encode(Double value[]) {
byte[][] encoded = new byte[value.length][];
for (int i = 0; i < value.length; i++) {
if (value[i] != null) {
@ -122,6 +129,8 @@ public final class DoublePoint extends Field {
return encoded;
}
// public helper methods (e.g. for queries)
/** Encode single double dimension */
public static void encodeDimension(Double value, byte dest[], int offset) {
NumericUtils.longToBytesDirect(NumericUtils.doubleToSortableLong(value), dest, offset);
@ -131,4 +140,76 @@ public final class DoublePoint extends Field {
public static Double decodeDimension(byte value[], int offset) {
return NumericUtils.sortableLongToDouble(NumericUtils.bytesToLongDirect(value, offset));
}
// static methods for generating queries
/**
* Create a query for matching an exact double value.
* <p>
* This is for simple one-dimension points, for multidimensional points use
* {@link #newMultiRangeQuery newMultiRangeQuery()} instead.
*
* @param field field name. must not be {@code null}.
* @param value double value
* @throws IllegalArgumentException if {@code field} is null.
* @return a query matching documents with this exact value
*/
public static PointRangeQuery newExactQuery(String field, double value) {
return newRangeQuery(field, value, true, value, true);
}
/**
* Create a range query for double values.
* <p>
* This is for simple one-dimension ranges, for multidimensional ranges use
* {@link #newMultiRangeQuery newMultiRangeQuery()} instead.
* <p>
* You can have half-open ranges (which are in fact &lt;/&le; or &gt;/&ge; queries)
* by setting the {@code lowerValue} or {@code upperValue} to {@code null}.
* <p>
* By setting inclusive ({@code lowerInclusive} or {@code upperInclusive}) to false, it will
* match all documents excluding the bounds, with inclusive on, the boundaries are hits, too.
*
* @param field field name. must not be {@code null}.
* @param lowerValue lower portion of the range. {@code null} means "open".
* @param lowerInclusive {@code true} if the lower portion of the range is inclusive, {@code false} if it should be excluded.
* @param upperValue upper portion of the range. {@code null} means "open".
* @param upperInclusive {@code true} if the upper portion of the range is inclusive, {@code false} if it should be excluded.
* @throws IllegalArgumentException if {@code field} is null.
* @return a query matching documents within this range.
*/
public static PointRangeQuery newRangeQuery(String field, Double lowerValue, boolean lowerInclusive, Double upperValue, boolean upperInclusive) {
return newMultiRangeQuery(field,
new Double[] { lowerValue },
new boolean[] { lowerInclusive },
new Double[] { upperValue },
new boolean[] { upperInclusive });
}
/**
* Create a multidimensional range query for double values.
* <p>
* You can have half-open ranges (which are in fact &lt;/&le; or &gt;/&ge; queries)
* by setting a {@code lowerValue} element or {@code upperValue} element to {@code null}.
* <p>
* By setting a dimension's inclusive ({@code lowerInclusive} or {@code upperInclusive}) to false, it will
* match all documents excluding the bounds, with inclusive on, the boundaries are hits, too.
*
* @param field field name. must not be {@code null}.
* @param lowerValue lower portion of the range. {@code null} values mean "open" for that dimension.
* @param lowerInclusive {@code true} if the lower portion of the range is inclusive, {@code false} if it should be excluded.
* @param upperValue upper portion of the range. {@code null} values mean "open" for that dimension.
* @param upperInclusive {@code true} if the upper portion of the range is inclusive, {@code false} if it should be excluded.
* @throws IllegalArgumentException if {@code field} is null, or if {@code lowerValue.length != upperValue.length}
* @return a query matching documents within this range.
*/
public static PointRangeQuery newMultiRangeQuery(String field, Double[] lowerValue, boolean lowerInclusive[], Double[] upperValue, boolean upperInclusive[]) {
PointRangeQuery.checkArgs(field, lowerValue, upperValue);
return new PointRangeQuery(field, DoublePoint.encode(lowerValue), lowerInclusive, DoublePoint.encode(upperValue), upperInclusive) {
@Override
protected String toString(byte[] value) {
return DoublePoint.decodeDimension(value, 0).toString();
}
};
}
}

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@ -16,14 +16,23 @@
*/
package org.apache.lucene.document;
import org.apache.lucene.search.PointRangeQuery;
import org.apache.lucene.util.BytesRef;
import org.apache.lucene.util.NumericUtils;
/** A field that is indexed dimensionally such that finding
* all documents within an N-dimensional at search time is
* efficient. Multiple values for the same field in one documents
* is allowed. */
/**
* A float field that is indexed dimensionally such that finding
* all documents within an N-dimensional at search time is
* efficient. Multiple values for the same field in one documents
* is allowed.
* <p>
* This field defines static factory methods for creating common queries:
* <ul>
* <li>{@link #newExactQuery newExactQuery()} for matching an exact 1D point.
* <li>{@link #newRangeQuery newRangeQuery()} for matching a 1D range.
* <li>{@link #newMultiRangeQuery newMultiRangeQuery()} for matching points/ranges in n-dimensional space.
* </ul>
*/
public final class FloatPoint extends Field {
private static FieldType getType(int numDims) {
@ -81,7 +90,7 @@ public final class FloatPoint extends Field {
* provided N-dimensional float point.
*
* @param name field name
* @param point int[] value
* @param point float[] value
* @throws IllegalArgumentException if the field name or value is null.
*/
public FloatPoint(String name, float... point) {
@ -108,10 +117,8 @@ public final class FloatPoint extends Field {
return result.toString();
}
// public helper methods (e.g. for queries)
/** Encode n-dimensional float values into binary encoding */
public static byte[][] encode(Float value[]) {
private static byte[][] encode(Float value[]) {
byte[][] encoded = new byte[value.length][];
for (int i = 0; i < value.length; i++) {
if (value[i] != null) {
@ -122,6 +129,8 @@ public final class FloatPoint extends Field {
return encoded;
}
// public helper methods (e.g. for queries)
/** Encode single float dimension */
public static void encodeDimension(Float value, byte dest[], int offset) {
NumericUtils.intToBytesDirect(NumericUtils.floatToSortableInt(value), dest, offset);
@ -131,4 +140,76 @@ public final class FloatPoint extends Field {
public static Float decodeDimension(byte value[], int offset) {
return NumericUtils.sortableIntToFloat(NumericUtils.bytesToIntDirect(value, offset));
}
// static methods for generating queries
/**
* Create a query for matching an exact float value.
* <p>
* This is for simple one-dimension points, for multidimensional points use
* {@link #newMultiRangeQuery newMultiRangeQuery()} 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 PointRangeQuery newExactQuery(String field, float value) {
return newRangeQuery(field, value, true, value, true);
}
/**
* Create a range query for float values.
* <p>
* This is for simple one-dimension ranges, for multidimensional ranges use
* {@link #newMultiRangeQuery newMultiRangeQuery()} instead.
* <p>
* You can have half-open ranges (which are in fact &lt;/&le; or &gt;/&ge; queries)
* by setting the {@code lowerValue} or {@code upperValue} to {@code null}.
* <p>
* By setting inclusive ({@code lowerInclusive} or {@code upperInclusive}) to false, it will
* match all documents excluding the bounds, with inclusive on, the boundaries are hits, too.
*
* @param field field name. must not be {@code null}.
* @param lowerValue lower portion of the range. {@code null} means "open".
* @param lowerInclusive {@code true} if the lower portion of the range is inclusive, {@code false} if it should be excluded.
* @param upperValue upper portion of the range. {@code null} means "open".
* @param upperInclusive {@code true} if the upper portion of the range is inclusive, {@code false} if it should be excluded.
* @throws IllegalArgumentException if {@code field} is null.
* @return a query matching documents within this range.
*/
public static PointRangeQuery newRangeQuery(String field, Float lowerValue, boolean lowerInclusive, Float upperValue, boolean upperInclusive) {
return newMultiRangeQuery(field,
new Float[] { lowerValue },
new boolean[] { lowerInclusive },
new Float[] { upperValue },
new boolean[] { upperInclusive });
}
/**
* Create a multidimensional range query for float values.
* <p>
* You can have half-open ranges (which are in fact &lt;/&le; or &gt;/&ge; queries)
* by setting a {@code lowerValue} element or {@code upperValue} element to {@code null}.
* <p>
* By setting a dimension's inclusive ({@code lowerInclusive} or {@code upperInclusive}) to false, it will
* match all documents excluding the bounds, with inclusive on, the boundaries are hits, too.
*
* @param field field name. must not be {@code null}.
* @param lowerValue lower portion of the range. {@code null} values mean "open" for that dimension.
* @param lowerInclusive {@code true} if the lower portion of the range is inclusive, {@code false} if it should be excluded.
* @param upperValue upper portion of the range. {@code null} values mean "open" for that dimension.
* @param upperInclusive {@code true} if the upper portion of the range is inclusive, {@code false} if it should be excluded.
* @throws IllegalArgumentException if {@code field} is null, or if {@code lowerValue.length != upperValue.length}
* @return a query matching documents within this range.
*/
public static PointRangeQuery newMultiRangeQuery(String field, Float[] lowerValue, boolean lowerInclusive[], Float[] upperValue, boolean upperInclusive[]) {
PointRangeQuery.checkArgs(field, lowerValue, upperValue);
return new PointRangeQuery(field, FloatPoint.encode(lowerValue), lowerInclusive, FloatPoint.encode(upperValue), upperInclusive) {
@Override
protected String toString(byte[] value) {
return FloatPoint.decodeDimension(value, 0).toString();
}
};
}
}

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@ -20,15 +20,24 @@ import java.io.IOException;
import java.util.Arrays;
import org.apache.lucene.search.PointInSetQuery;
import org.apache.lucene.search.PointRangeQuery;
import org.apache.lucene.util.BytesRef;
import org.apache.lucene.util.BytesRefIterator;
import org.apache.lucene.util.NumericUtils;
/** An int field that is indexed dimensionally such that finding
* all documents within an N-dimensional shape or range at search time is
* efficient. Multiple values for the same field in one documents
* is allowed. */
/**
* An int field that is indexed dimensionally such that finding
* all documents within an N-dimensional shape or range at search time is
* efficient. Multiple values for the same field in one documents
* is allowed.
* <p>
* This field defines static factory methods for creating common queries:
* <ul>
* <li>{@link #newExactQuery newExactQuery()} for matching an exact 1D point.
* <li>{@link #newRangeQuery newRangeQuery()} for matching a 1D range.
* <li>{@link #newMultiRangeQuery newMultiRangeQuery()} for matching points/ranges in n-dimensional space.
* </ul>
*/
public final class IntPoint extends Field {
private static FieldType getType(int numDims) {
@ -93,7 +102,128 @@ public final class IntPoint extends Field {
super(name, pack(point), getType(point.length));
}
/** Returns a query efficiently finding all documents that indexed the provided 1D int values */
@Override
public String toString() {
StringBuilder result = new StringBuilder();
result.append(type.toString());
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 * Integer.BYTES));
}
result.append('>');
return result.toString();
}
/** Encode n-dimensional integer values into binary encoding */
private static byte[][] encode(Integer value[]) {
byte[][] encoded = new byte[value.length][];
for (int i = 0; i < value.length; i++) {
if (value[i] != null) {
encoded[i] = new byte[Integer.BYTES];
encodeDimension(value[i], encoded[i], 0);
}
}
return encoded;
}
// public helper methods (e.g. for queries)
/** Encode single integer dimension */
public static void encodeDimension(Integer value, byte dest[], int offset) {
NumericUtils.intToBytes(value, dest, offset);
}
/** Decode single integer dimension */
public static Integer decodeDimension(byte value[], int offset) {
return NumericUtils.bytesToInt(value, offset);
}
// static methods for generating queries
/**
* Create a query for matching an exact integer value.
* <p>
* This is for simple one-dimension points, for multidimensional points use
* {@link #newMultiRangeQuery newMultiRangeQuery()} instead.
*
* @param field field name. must not be {@code null}.
* @param value exact value
* @throws IllegalArgumentException if {@code field} is null.
* @return a query matching documents with this exact value
*/
public static PointRangeQuery newExactQuery(String field, int value) {
return newRangeQuery(field, value, true, value, true);
}
/**
* Create a range query for integer values.
* <p>
* This is for simple one-dimension ranges, for multidimensional ranges use
* {@link #newMultiRangeQuery newMultiRangeQuery()} instead.
* <p>
* You can have half-open ranges (which are in fact &lt;/&le; or &gt;/&ge; queries)
* by setting the {@code lowerValue} or {@code upperValue} to {@code null}.
* <p>
* By setting inclusive ({@code lowerInclusive} or {@code upperInclusive}) to false, it will
* match all documents excluding the bounds, with inclusive on, the boundaries are hits, too.
*
* @param field field name. must not be {@code null}.
* @param lowerValue lower portion of the range. {@code null} means "open".
* @param lowerInclusive {@code true} if the lower portion of the range is inclusive, {@code false} if it should be excluded.
* @param upperValue upper portion of the range. {@code null} means "open".
* @param upperInclusive {@code true} if the upper portion of the range is inclusive, {@code false} if it should be excluded.
* @throws IllegalArgumentException if {@code field} is null.
* @return a query matching documents within this range.
*/
public static PointRangeQuery newRangeQuery(String field, Integer lowerValue, boolean lowerInclusive, Integer upperValue, boolean upperInclusive) {
return newMultiRangeQuery(field,
new Integer[] { lowerValue },
new boolean[] { lowerInclusive },
new Integer[] { upperValue },
new boolean[] { upperInclusive });
}
/**
* Create a multidimensional range query for integer values.
* <p>
* You can have half-open ranges (which are in fact &lt;/&le; or &gt;/&ge; queries)
* by setting a {@code lowerValue} element or {@code upperValue} element to {@code null}.
* <p>
* By setting a dimension's inclusive ({@code lowerInclusive} or {@code upperInclusive}) to false, it will
* match all documents excluding the bounds, with inclusive on, the boundaries are hits, too.
*
* @param field field name. must not be {@code null}.
* @param lowerValue lower portion of the range. {@code null} values mean "open" for that dimension.
* @param lowerInclusive {@code true} if the lower portion of the range is inclusive, {@code false} if it should be excluded.
* @param upperValue upper portion of the range. {@code null} values mean "open" for that dimension.
* @param upperInclusive {@code true} if the upper portion of the range is inclusive, {@code false} if it should be excluded.
* @throws IllegalArgumentException if {@code field} is null, or if {@code lowerValue.length != upperValue.length}
* @return a query matching documents within this range.
*/
public static PointRangeQuery newMultiRangeQuery(String field, Integer[] lowerValue, boolean lowerInclusive[], Integer[] upperValue, boolean upperInclusive[]) {
PointRangeQuery.checkArgs(field, lowerValue, upperValue);
return new PointRangeQuery(field, IntPoint.encode(lowerValue), lowerInclusive, IntPoint.encode(upperValue), upperInclusive) {
@Override
protected String toString(byte[] value) {
return IntPoint.decodeDimension(value, 0).toString();
}
};
}
/**
* Returns a query efficiently finding all documents indexed with any of the specified 1D values.
*
* @param field field name. must not be {@code null}.
* @param valuesIn all int values to search for
*/
public static PointInSetQuery newSetQuery(String field, int... valuesIn) throws IOException {
// Don't unexpectedly change the user's incoming array:
@ -127,48 +257,4 @@ public final class IntPoint extends Field {
}
};
}
@Override
public String toString() {
StringBuilder result = new StringBuilder();
result.append(type.toString());
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 * Integer.BYTES));
}
result.append('>');
return result.toString();
}
// public helper methods (e.g. for queries)
/** Encode n-dimensional integer values into binary encoding */
public static byte[][] encode(Integer value[]) {
byte[][] encoded = new byte[value.length][];
for (int i = 0; i < value.length; i++) {
if (value[i] != null) {
encoded[i] = new byte[Integer.BYTES];
encodeDimension(value[i], encoded[i], 0);
}
}
return encoded;
}
/** Encode single integer dimension */
public static void encodeDimension(Integer value, byte dest[], int offset) {
NumericUtils.intToBytes(value, dest, offset);
}
/** Decode single integer dimension */
public static Integer decodeDimension(byte value[], int offset) {
return NumericUtils.bytesToInt(value, offset);
}
}

View File

@ -16,14 +16,23 @@
*/
package org.apache.lucene.document;
import org.apache.lucene.search.PointRangeQuery;
import org.apache.lucene.util.BytesRef;
import org.apache.lucene.util.NumericUtils;
/** A long field that is indexed dimensionally such that finding
* all documents within an N-dimensional shape or range at search time is
* efficient. Multiple values for the same field in one documents
* is allowed. */
/**
* A long field that is indexed dimensionally such that finding
* all documents within an N-dimensional shape or range at search time is
* efficient. Multiple values for the same field in one documents
* is allowed.
* <p>
* This field defines static factory methods for creating common queries:
* <ul>
* <li>{@link #newExactQuery newExactQuery()} for matching an exact 1D point.
* <li>{@link #newRangeQuery newRangeQuery()} for matching a 1D range.
* <li>{@link #newMultiRangeQuery newMultiRangeQuery()} for matching points/ranges in n-dimensional space.
* </ul>
*/
public final class LongPoint extends Field {
private static FieldType getType(int numDims) {
@ -78,10 +87,10 @@ public final class LongPoint extends Field {
}
/** Creates a new LongPoint, indexing the
* provided N-dimensional int point.
* provided N-dimensional long point.
*
* @param name field name
* @param point int[] value
* @param point long[] value
* @throws IllegalArgumentException if the field name or value is null.
*/
public LongPoint(String name, long... point) {
@ -108,10 +117,8 @@ public final class LongPoint extends Field {
return result.toString();
}
// public helper methods (e.g. for queries)
/** Encode n-dimensional long values into binary encoding */
public static byte[][] encode(Long value[]) {
private static byte[][] encode(Long value[]) {
byte[][] encoded = new byte[value.length][];
for (int i = 0; i < value.length; i++) {
if (value[i] != null) {
@ -122,6 +129,8 @@ public final class LongPoint extends Field {
return encoded;
}
// public helper methods (e.g. for queries)
/** Encode single long dimension */
public static void encodeDimension(Long value, byte dest[], int offset) {
NumericUtils.longToBytes(value, dest, offset);
@ -131,4 +140,76 @@ public final class LongPoint extends Field {
public static Long decodeDimension(byte value[], int offset) {
return NumericUtils.bytesToLong(value, offset);
}
// static methods for generating queries
/**
* Create a query for matching an exact long value.
* <p>
* This is for simple one-dimension points, for multidimensional points use
* {@link #newMultiRangeQuery newMultiRangeQuery()} instead.
*
* @param field field name. must not be {@code null}.
* @param value exact value
* @throws IllegalArgumentException if {@code field} is null.
* @return a query matching documents with this exact value
*/
public static PointRangeQuery newExactQuery(String field, long value) {
return newRangeQuery(field, value, true, value, true);
}
/**
* Create a range query for long values.
* <p>
* This is for simple one-dimension ranges, for multidimensional ranges use
* {@link #newMultiRangeQuery newMultiRangeQuery()} instead.
* <p>
* You can have half-open ranges (which are in fact &lt;/&le; or &gt;/&ge; queries)
* by setting the {@code lowerValue} or {@code upperValue} to {@code null}.
* <p>
* By setting inclusive ({@code lowerInclusive} or {@code upperInclusive}) to false, it will
* match all documents excluding the bounds, with inclusive on, the boundaries are hits, too.
*
* @param field field name. must not be {@code null}.
* @param lowerValue lower portion of the range. {@code null} means "open".
* @param lowerInclusive {@code true} if the lower portion of the range is inclusive, {@code false} if it should be excluded.
* @param upperValue upper portion of the range. {@code null} means "open".
* @param upperInclusive {@code true} if the upper portion of the range is inclusive, {@code false} if it should be excluded.
* @throws IllegalArgumentException if {@code field} is null.
* @return a query matching documents within this range.
*/
public static PointRangeQuery newRangeQuery(String field, Long lowerValue, boolean lowerInclusive, Long upperValue, boolean upperInclusive) {
return newMultiRangeQuery(field,
new Long[] { lowerValue },
new boolean[] { lowerInclusive },
new Long[] { upperValue },
new boolean[] { upperInclusive });
}
/**
* Create a multidimensional range query for long values.
* <p>
* You can have half-open ranges (which are in fact &lt;/&le; or &gt;/&ge; queries)
* by setting a {@code lowerValue} element or {@code upperValue} element to {@code null}.
* <p>
* By setting a dimension's inclusive ({@code lowerInclusive} or {@code upperInclusive}) to false, it will
* match all documents excluding the bounds, with inclusive on, the boundaries are hits, too.
*
* @param field field name. must not be {@code null}.
* @param lowerValue lower portion of the range. {@code null} values mean "open" for that dimension.
* @param lowerInclusive {@code true} if the lower portion of the range is inclusive, {@code false} if it should be excluded.
* @param upperValue upper portion of the range. {@code null} values mean "open" for that dimension.
* @param upperInclusive {@code true} if the upper portion of the range is inclusive, {@code false} if it should be excluded.
* @throws IllegalArgumentException if {@code field} is null, or if {@code lowerValue.length != upperValue.length}
* @return a query matching documents within this range.
*/
public static PointRangeQuery newMultiRangeQuery(String field, Long[] lowerValue, boolean lowerInclusive[], Long[] upperValue, boolean upperInclusive[]) {
PointRangeQuery.checkArgs(field, lowerValue, upperValue);
return new PointRangeQuery(field, LongPoint.encode(lowerValue), lowerInclusive, LongPoint.encode(upperValue), upperInclusive) {
@Override
protected String toString(byte[] value) {
return LongPoint.decodeDimension(value, 0).toString();
}
};
}
}

View File

@ -24,11 +24,11 @@ import java.util.Objects;
import org.apache.lucene.index.PointValues;
import org.apache.lucene.index.PointValues.IntersectVisitor;
import org.apache.lucene.index.PointValues.Relation;
import org.apache.lucene.document.BinaryPoint;
import org.apache.lucene.document.DoublePoint;
import org.apache.lucene.document.FloatPoint;
import org.apache.lucene.document.IntPoint;
import org.apache.lucene.document.LongPoint;
import org.apache.lucene.document.BinaryPoint; // javadocs
import org.apache.lucene.document.DoublePoint; // javadocs
import org.apache.lucene.document.FloatPoint; // javadocs
import org.apache.lucene.document.IntPoint; // javadocs
import org.apache.lucene.document.LongPoint; // javadocs
import org.apache.lucene.index.FieldInfo;
import org.apache.lucene.index.LeafReader;
import org.apache.lucene.index.LeafReaderContext;
@ -36,11 +36,23 @@ import org.apache.lucene.util.DocIdSetBuilder;
import org.apache.lucene.util.NumericUtils;
import org.apache.lucene.util.StringHelper;
/** Searches for ranges in fields previously indexed using points e.g.
* {@link org.apache.lucene.document.LongPoint}. In a 1D field this is
* a simple range query; in a multi-dimensional field it's a box shape. */
// TODO: enhance this and add simple example
public class PointRangeQuery extends Query {
/**
* Abstract class for range queries against single or multidimensional points such as
* {@link IntPoint}.
* <p>
* This is for subclasses and works on the underlying binary encoding: to
* create range queries for lucene's standard {@code Point} types, refer to factory
* methods on those classes, e.g. {@link IntPoint#newRangeQuery IntPoint.newRangeQuery()} for
* fields indexed with {@link IntPoint}.
* <p>
* For a single-dimensional field this query is a simple range query; in a multi-dimensional field it's a box shape.
* @see IntPoint
* @see LongPoint
* @see FloatPoint
* @see DoublePoint
* @see BinaryPoint
*/
public abstract class PointRangeQuery extends Query {
final String field;
final int numDims;
final byte[][] lowerPoint;
@ -53,16 +65,6 @@ public class PointRangeQuery extends Query {
/**
* Expert: create a multidimensional range query for point values.
* <p>
* This is for subclasses and works on the underlying binary encoding: to
* create range queries for lucene's standard {@code Point} types, refer to these factory methods:
* <ul>
* <li>{@link #newIntRange newIntRange()}/{@link #newMultiIntRange newMultiIntRange()} for fields indexed with {@link IntPoint}
* <li>{@link #newIntRange newLongRange()}/{@link #newMultiIntRange newMultiLongRange()} for fields indexed with {@link LongPoint}
* <li>{@link #newIntRange newFloatRange()}/{@link #newMultiIntRange newMultiFloatRange()} for fields indexed with {@link FloatPoint}
* <li>{@link #newIntRange newDoubleRange()}/{@link #newMultiIntRange newMultiDoubleRange()} for fields indexed with {@link DoublePoint}
* <li>{@link #newIntRange newBinaryRange()}/{@link #newMultiIntRange newMultiBinaryRange()} for fields indexed with {@link BinaryPoint}
* </ul>
* <p>
* You can have half-open ranges (which are in fact &lt;/&le; or &gt;/&ge; queries)
* by setting a {@code lowerValue} element or {@code upperValue} element to {@code null}.
* <p>
@ -132,350 +134,6 @@ public class PointRangeQuery extends Query {
}
}
/**
* Create a range query for matching an exact integer value.
* <p>
* This is for simple one-dimension points, for multidimensional points use
* {@link #newMultiIntRange newMultiIntRange()} instead.
*
* @param field field name. must not be {@code null}.
* @param value exact value
* @throws IllegalArgumentException if {@code field} is null.
* @return a query matching documents with this exact value
*/
public static PointRangeQuery newIntExact(String field, int value) {
return newIntRange(field, value, true, value, true);
}
/**
* Create a range query for integer values indexed with {@link IntPoint}.
* <p>
* This is for simple one-dimension ranges, for multidimensional ranges use
* {@link #newMultiIntRange newMultiIntRange()} instead.
* <p>
* You can have half-open ranges (which are in fact &lt;/&le; or &gt;/&ge; queries)
* by setting the {@code lowerValue} or {@code upperValue} to {@code null}.
* <p>
* By setting inclusive ({@code lowerInclusive} or {@code upperInclusive}) to false, it will
* match all documents excluding the bounds, with inclusive on, the boundaries are hits, too.
*
* @param field field name. must not be {@code null}.
* @param lowerValue lower portion of the range. {@code null} means "open".
* @param lowerInclusive {@code true} if the lower portion of the range is inclusive, {@code false} if it should be excluded.
* @param upperValue upper portion of the range. {@code null} means "open".
* @param upperInclusive {@code true} if the upper portion of the range is inclusive, {@code false} if it should be excluded.
* @throws IllegalArgumentException if {@code field} is null.
* @return a query matching documents within this range.
*/
public static PointRangeQuery newIntRange(String field, Integer lowerValue, boolean lowerInclusive, Integer upperValue, boolean upperInclusive) {
return newMultiIntRange(field,
new Integer[] { lowerValue },
new boolean[] { lowerInclusive },
new Integer[] { upperValue },
new boolean[] { upperInclusive });
}
/**
* Create a multidimensional range query for integer values indexed with {@link IntPoint}.
* <p>
* You can have half-open ranges (which are in fact &lt;/&le; or &gt;/&ge; queries)
* by setting a {@code lowerValue} element or {@code upperValue} element to {@code null}.
* <p>
* By setting a dimension's inclusive ({@code lowerInclusive} or {@code upperInclusive}) to false, it will
* match all documents excluding the bounds, with inclusive on, the boundaries are hits, too.
*
* @param field field name. must not be {@code null}.
* @param lowerValue lower portion of the range. {@code null} values mean "open" for that dimension.
* @param lowerInclusive {@code true} if the lower portion of the range is inclusive, {@code false} if it should be excluded.
* @param upperValue upper portion of the range. {@code null} values mean "open" for that dimension.
* @param upperInclusive {@code true} if the upper portion of the range is inclusive, {@code false} if it should be excluded.
* @throws IllegalArgumentException if {@code field} is null, or if {@code lowerValue.length != upperValue.length}
* @return a query matching documents within this range.
*/
public static PointRangeQuery newMultiIntRange(String field, Integer[] lowerValue, boolean lowerInclusive[], Integer[] upperValue, boolean upperInclusive[]) {
checkArgs(field, lowerValue, upperValue);
return new PointRangeQuery(field, IntPoint.encode(lowerValue), lowerInclusive, IntPoint.encode(upperValue), upperInclusive) {
@Override
protected String toString(byte[] value) {
return IntPoint.decodeDimension(value, 0).toString();
}
};
}
/**
* Create a range query for matching an exact long value.
* <p>
* This is for simple one-dimension points, for multidimensional points use
* {@link #newMultiLongRange newMultiLongRange()} instead.
*
* @param field field name. must not be {@code null}.
* @param value exact value
* @throws IllegalArgumentException if {@code field} is null.
* @return a query matching documents with this exact value
*/
public static PointRangeQuery newLongExact(String field, long value) {
return newLongRange(field, value, true, value, true);
}
/**
* Create a range query for long values indexed with {@link LongPoint}.
* <p>
* This is for simple one-dimension ranges, for multidimensional ranges use
* {@link #newMultiLongRange newMultiLongRange()} instead.
* <p>
* You can have half-open ranges (which are in fact &lt;/&le; or &gt;/&ge; queries)
* by setting the {@code lowerValue} or {@code upperValue} to {@code null}.
* <p>
* By setting inclusive ({@code lowerInclusive} or {@code upperInclusive}) to false, it will
* match all documents excluding the bounds, with inclusive on, the boundaries are hits, too.
*
* @param field field name. must not be {@code null}.
* @param lowerValue lower portion of the range. {@code null} means "open".
* @param lowerInclusive {@code true} if the lower portion of the range is inclusive, {@code false} if it should be excluded.
* @param upperValue upper portion of the range. {@code null} means "open".
* @param upperInclusive {@code true} if the upper portion of the range is inclusive, {@code false} if it should be excluded.
* @throws IllegalArgumentException if {@code field} is null.
* @return a query matching documents within this range.
*/
public static PointRangeQuery newLongRange(String field, Long lowerValue, boolean lowerInclusive, Long upperValue, boolean upperInclusive) {
return newMultiLongRange(field,
new Long[] { lowerValue },
new boolean[] { lowerInclusive },
new Long[] { upperValue },
new boolean[] { upperInclusive });
}
/**
* Create a multidimensional range query for long values indexed with {@link LongPoint}.
* <p>
* You can have half-open ranges (which are in fact &lt;/&le; or &gt;/&ge; queries)
* by setting a {@code lowerValue} element or {@code upperValue} element to {@code null}.
* <p>
* By setting a dimension's inclusive ({@code lowerInclusive} or {@code upperInclusive}) to false, it will
* match all documents excluding the bounds, with inclusive on, the boundaries are hits, too.
*
* @param field field name. must not be {@code null}.
* @param lowerValue lower portion of the range. {@code null} values mean "open" for that dimension.
* @param lowerInclusive {@code true} if the lower portion of the range is inclusive, {@code false} if it should be excluded.
* @param upperValue upper portion of the range. {@code null} values mean "open" for that dimension.
* @param upperInclusive {@code true} if the upper portion of the range is inclusive, {@code false} if it should be excluded.
* @throws IllegalArgumentException if {@code field} is null, or if {@code lowerValue.length != upperValue.length}
* @return a query matching documents within this range.
*/
public static PointRangeQuery newMultiLongRange(String field, Long[] lowerValue, boolean lowerInclusive[], Long[] upperValue, boolean upperInclusive[]) {
checkArgs(field, lowerValue, upperValue);
return new PointRangeQuery(field, LongPoint.encode(lowerValue), lowerInclusive, LongPoint.encode(upperValue), upperInclusive) {
@Override
protected String toString(byte[] value) {
return LongPoint.decodeDimension(value, 0).toString();
}
};
}
/**
* Create a range query for matching an exact float value.
* <p>
* This is for simple one-dimension points, for multidimensional points use
* {@link #newMultiFloatRange newMultiFloatRange()} 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 PointRangeQuery newFloatExact(String field, float value) {
return newFloatRange(field, value, true, value, true);
}
/**
* Create a range query for float values indexed with {@link FloatPoint}.
* <p>
* This is for simple one-dimension ranges, for multidimensional ranges use
* {@link #newMultiFloatRange newMultiFloatRange()} instead.
* <p>
* You can have half-open ranges (which are in fact &lt;/&le; or &gt;/&ge; queries)
* by setting the {@code lowerValue} or {@code upperValue} to {@code null}.
* <p>
* By setting inclusive ({@code lowerInclusive} or {@code upperInclusive}) to false, it will
* match all documents excluding the bounds, with inclusive on, the boundaries are hits, too.
*
* @param field field name. must not be {@code null}.
* @param lowerValue lower portion of the range. {@code null} means "open".
* @param lowerInclusive {@code true} if the lower portion of the range is inclusive, {@code false} if it should be excluded.
* @param upperValue upper portion of the range. {@code null} means "open".
* @param upperInclusive {@code true} if the upper portion of the range is inclusive, {@code false} if it should be excluded.
* @throws IllegalArgumentException if {@code field} is null.
* @return a query matching documents within this range.
*/
public static PointRangeQuery newFloatRange(String field, Float lowerValue, boolean lowerInclusive, Float upperValue, boolean upperInclusive) {
return newMultiFloatRange(field,
new Float[] { lowerValue },
new boolean[] { lowerInclusive },
new Float[] { upperValue },
new boolean[] { upperInclusive });
}
/**
* Create a multidimensional range query for float values indexed with {@link FloatPoint}.
* <p>
* You can have half-open ranges (which are in fact &lt;/&le; or &gt;/&ge; queries)
* by setting a {@code lowerValue} element or {@code upperValue} element to {@code null}.
* <p>
* By setting a dimension's inclusive ({@code lowerInclusive} or {@code upperInclusive}) to false, it will
* match all documents excluding the bounds, with inclusive on, the boundaries are hits, too.
*
* @param field field name. must not be {@code null}.
* @param lowerValue lower portion of the range. {@code null} values mean "open" for that dimension.
* @param lowerInclusive {@code true} if the lower portion of the range is inclusive, {@code false} if it should be excluded.
* @param upperValue upper portion of the range. {@code null} values mean "open" for that dimension.
* @param upperInclusive {@code true} if the upper portion of the range is inclusive, {@code false} if it should be excluded.
* @throws IllegalArgumentException if {@code field} is null, or if {@code lowerValue.length != upperValue.length}
* @return a query matching documents within this range.
*/
public static PointRangeQuery newMultiFloatRange(String field, Float[] lowerValue, boolean lowerInclusive[], Float[] upperValue, boolean upperInclusive[]) {
checkArgs(field, lowerValue, upperValue);
return new PointRangeQuery(field, FloatPoint.encode(lowerValue), lowerInclusive, FloatPoint.encode(upperValue), upperInclusive) {
@Override
protected String toString(byte[] value) {
return FloatPoint.decodeDimension(value, 0).toString();
}
};
}
/**
* Create a range query for matching an exact double value.
* <p>
* This is for simple one-dimension points, for multidimensional points use
* {@link #newMultiDoubleRange newMultiDoubleRange()} instead.
*
* @param field field name. must not be {@code null}.
* @param value double value
* @throws IllegalArgumentException if {@code field} is null.
* @return a query matching documents with this exact value
*/
public static PointRangeQuery newDoubleExact(String field, double value) {
return newDoubleRange(field, value, true, value, true);
}
/**
* Create a range query for double values indexed with {@link DoublePoint}.
* <p>
* This is for simple one-dimension ranges, for multidimensional ranges use
* {@link #newMultiDoubleRange newMultiDoubleRange()} instead.
* <p>
* You can have half-open ranges (which are in fact &lt;/&le; or &gt;/&ge; queries)
* by setting the {@code lowerValue} or {@code upperValue} to {@code null}.
* <p>
* By setting inclusive ({@code lowerInclusive} or {@code upperInclusive}) to false, it will
* match all documents excluding the bounds, with inclusive on, the boundaries are hits, too.
*
* @param field field name. must not be {@code null}.
* @param lowerValue lower portion of the range. {@code null} means "open".
* @param lowerInclusive {@code true} if the lower portion of the range is inclusive, {@code false} if it should be excluded.
* @param upperValue upper portion of the range. {@code null} means "open".
* @param upperInclusive {@code true} if the upper portion of the range is inclusive, {@code false} if it should be excluded.
* @throws IllegalArgumentException if {@code field} is null.
* @return a query matching documents within this range.
*/
public static PointRangeQuery newDoubleRange(String field, Double lowerValue, boolean lowerInclusive, Double upperValue, boolean upperInclusive) {
return newMultiDoubleRange(field,
new Double[] { lowerValue },
new boolean[] { lowerInclusive },
new Double[] { upperValue },
new boolean[] { upperInclusive });
}
/**
* Create a multidimensional range query for double values indexed with {@link DoublePoint}.
* <p>
* You can have half-open ranges (which are in fact &lt;/&le; or &gt;/&ge; queries)
* by setting a {@code lowerValue} element or {@code upperValue} element to {@code null}.
* <p>
* By setting a dimension's inclusive ({@code lowerInclusive} or {@code upperInclusive}) to false, it will
* match all documents excluding the bounds, with inclusive on, the boundaries are hits, too.
*
* @param field field name. must not be {@code null}.
* @param lowerValue lower portion of the range. {@code null} values mean "open" for that dimension.
* @param lowerInclusive {@code true} if the lower portion of the range is inclusive, {@code false} if it should be excluded.
* @param upperValue upper portion of the range. {@code null} values mean "open" for that dimension.
* @param upperInclusive {@code true} if the upper portion of the range is inclusive, {@code false} if it should be excluded.
* @throws IllegalArgumentException if {@code field} is null, or if {@code lowerValue.length != upperValue.length}
* @return a query matching documents within this range.
*/
public static PointRangeQuery newMultiDoubleRange(String field, Double[] lowerValue, boolean lowerInclusive[], Double[] upperValue, boolean upperInclusive[]) {
checkArgs(field, lowerValue, upperValue);
return new PointRangeQuery(field, DoublePoint.encode(lowerValue), lowerInclusive, DoublePoint.encode(upperValue), upperInclusive) {
@Override
protected String toString(byte[] value) {
return DoublePoint.decodeDimension(value, 0).toString();
}
};
}
/**
* Create a range query for matching an exact binary value.
* <p>
* This is for simple one-dimension points, for multidimensional points use
* {@link #newMultiBinaryRange newMultiBinaryRange()} instead.
*
* @param field field name. must not be {@code null}.
* @param value binary value
* @throws IllegalArgumentException if {@code field} is null or {@code value} is null
* @return a query matching documents with this exact value
*/
public static PointRangeQuery newBinaryExact(String field, byte[] value) {
if (value == null) {
throw new IllegalArgumentException("value cannot be null");
}
return newBinaryRange(field, value, true, value, true);
}
/**
* Create a range query for binary values indexed with {@link BinaryPoint}.
* <p>
* This is for simple one-dimension ranges, for multidimensional ranges use
* {@link #newMultiBinaryRange newMultiBinaryRange()} instead.
* <p>
* You can have half-open ranges (which are in fact &lt;/&le; or &gt;/&ge; queries)
* by setting the {@code lowerValue} or {@code upperValue} to {@code null}.
* <p>
* By setting inclusive ({@code lowerInclusive} or {@code upperInclusive}) to false, it will
* match all documents excluding the bounds, with inclusive on, the boundaries are hits, too.
*
* @param field field name. must not be {@code null}.
* @param lowerValue lower portion of the range. {@code null} means "open".
* @param lowerInclusive {@code true} if the lower portion of the range is inclusive, {@code false} if it should be excluded.
* @param upperValue upper portion of the range. {@code null} means "open".
* @param upperInclusive {@code true} if the upper portion of the range is inclusive, {@code false} if it should be excluded.
* @throws IllegalArgumentException if {@code field} is null.
* @return a query matching documents within this range.
*/
public static PointRangeQuery newBinaryRange(String field, byte[] lowerValue, boolean lowerInclusive, byte[] upperValue, boolean upperInclusive) {
return newMultiBinaryRange(field, new byte[][] {lowerValue}, new boolean[] {lowerInclusive}, new byte[][] {upperValue}, new boolean[] {upperInclusive});
}
/**
* Create a multidimensional range query for binary values indexed with {@link BinaryPoint}.
* <p>
* You can have half-open ranges (which are in fact &lt;/&le; or &gt;/&ge; queries)
* by setting a {@code lowerValue} element or {@code upperValue} element to {@code null}.
* <p>
* By setting a dimension's inclusive ({@code lowerInclusive} or {@code upperInclusive}) to false, it will
* match all documents excluding the bounds, with inclusive on, the boundaries are hits, too.
*
* @param field field name. must not be {@code null}.
* @param lowerValue lower portion of the range. {@code null} values mean "open" for that dimension.
* @param lowerInclusive {@code true} if the lower portion of the range is inclusive, {@code false} if it should be excluded.
* @param upperValue upper portion of the range. {@code null} values mean "open" for that dimension.
* @param upperInclusive {@code true} if the upper portion of the range is inclusive, {@code false} if it should be excluded.
* @throws IllegalArgumentException if {@code field} is null, or if {@code lowerValue.length != upperValue.length}
* @return a query matching documents within this range.
*/
public static PointRangeQuery newMultiBinaryRange(String field, byte[][] lowerValue, boolean[] lowerInclusive, byte[][] upperValue, boolean[] upperInclusive) {
checkArgs(field, lowerValue, upperValue);
return new PointRangeQuery(field, lowerValue, lowerInclusive, upperValue, upperInclusive);
}
@Override
public Weight createWeight(IndexSearcher searcher, boolean needsScores) throws IOException {
@ -695,22 +353,8 @@ public class PointRangeQuery extends Query {
* Returns a string of a single value in a human-readable format for debugging.
* This is used by {@link #toString()}.
*
* The default implementation encodes the individual byte values.
*
* @param value single value, never null
* @return human readable value for debugging
*/
protected String toString(byte[] value) {
assert value != null;
StringBuilder sb = new StringBuilder();
sb.append("binary(");
for (int i = 0; i < value.length; i++) {
if (i > 0) {
sb.append(' ');
}
sb.append(Integer.toHexString(value[i] & 0xFF));
}
sb.append(')');
return sb.toString();
}
protected abstract String toString(byte[] value);
}

View File

@ -36,7 +36,6 @@ import org.apache.lucene.document.LongPoint;
import org.apache.lucene.document.Document;
import org.apache.lucene.document.Field;
import org.apache.lucene.document.NumericDocValuesField;
import org.apache.lucene.search.PointRangeQuery;
import org.apache.lucene.search.IndexSearcher;
import org.apache.lucene.search.MatchAllDocsQuery;
import org.apache.lucene.search.ScoreDoc;
@ -1352,7 +1351,7 @@ public class TestDemoParallelLeafReader extends LuceneTestCase {
max = x;
}
TopDocs hits = s.search(PointRangeQuery.newLongRange("number", min, true, max, true), 100);
TopDocs hits = s.search(LongPoint.newRangeQuery("number", min, true, max, true), 100);
for(ScoreDoc scoreDoc : hits.scoreDocs) {
long value = Long.parseLong(s.doc(scoreDoc.doc).get("text").split(" ")[1]);
assertTrue(value >= min);

View File

@ -304,7 +304,7 @@ public class TestPointQueries extends LuceneTestCase {
}
if (random().nextBoolean()) {
query = PointRangeQuery.newLongRange("sn_value", lower, includeLower, upper, includeUpper);
query = LongPoint.newRangeQuery("sn_value", lower, includeLower, upper, includeUpper);
} else {
byte[] lowerBytes;
if (lower == null) {
@ -320,7 +320,7 @@ public class TestPointQueries extends LuceneTestCase {
upperBytes = new byte[8];
NumericUtils.longToBytes(upper, upperBytes, 0);
}
query = PointRangeQuery.newBinaryRange("ss_value", lowerBytes, includeLower, upperBytes, includeUpper);
query = BinaryPoint.newRangeQuery("ss_value", lowerBytes, includeLower, upperBytes, includeUpper);
}
if (VERBOSE) {
@ -586,7 +586,7 @@ public class TestPointQueries extends LuceneTestCase {
}
}
Query query = new PointRangeQuery("value", lower, includeLower, upper, includeUpper);
Query query = BinaryPoint.newMultiRangeQuery("value", lower, includeLower, upper, includeUpper);
if (VERBOSE) {
System.out.println(Thread.currentThread().getName() + ": using query: " + query);
@ -736,9 +736,9 @@ public class TestPointQueries extends LuceneTestCase {
IndexSearcher s = newSearcher(r);
assertEquals(1, s.count(PointRangeQuery.newLongRange("value", Long.MIN_VALUE, true, 0L, true)));
assertEquals(1, s.count(PointRangeQuery.newLongRange("value", 0L, true, Long.MAX_VALUE, true)));
assertEquals(2, s.count(PointRangeQuery.newLongRange("value", Long.MIN_VALUE, true, Long.MAX_VALUE, true)));
assertEquals(1, s.count(LongPoint.newRangeQuery("value", Long.MIN_VALUE, true, 0L, true)));
assertEquals(1, s.count(LongPoint.newRangeQuery("value", 0L, true, Long.MAX_VALUE, true)));
assertEquals(2, s.count(LongPoint.newRangeQuery("value", Long.MIN_VALUE, true, Long.MAX_VALUE, true)));
IOUtils.close(r, w, dir);
}
@ -774,47 +774,47 @@ public class TestPointQueries extends LuceneTestCase {
IndexSearcher s = newSearcher(r);
assertEquals(1, s.count(PointRangeQuery.newBinaryRange("value",
assertEquals(1, s.count(BinaryPoint.newRangeQuery("value",
toUTF8("aaa"),
true,
toUTF8("bbb"),
true)));
assertEquals(1, s.count(PointRangeQuery.newBinaryRange("value",
assertEquals(1, s.count(BinaryPoint.newRangeQuery("value",
toUTF8("c", 3),
true,
toUTF8("e", 3),
true)));
assertEquals(2, s.count(PointRangeQuery.newBinaryRange("value",
assertEquals(2, s.count(BinaryPoint.newRangeQuery("value",
toUTF8("a", 3),
true,
toUTF8("z", 3),
true)));
assertEquals(1, s.count(PointRangeQuery.newBinaryRange("value",
assertEquals(1, s.count(BinaryPoint.newRangeQuery("value",
null,
true,
toUTF8("abc"),
true)));
assertEquals(1, s.count(PointRangeQuery.newBinaryRange("value",
assertEquals(1, s.count(BinaryPoint.newRangeQuery("value",
toUTF8("a", 3),
true,
toUTF8("abc"),
true)));
assertEquals(0, s.count(PointRangeQuery.newBinaryRange("value",
assertEquals(0, s.count(BinaryPoint.newRangeQuery("value",
toUTF8("a", 3),
true,
toUTF8("abc"),
false)));
assertEquals(1, s.count(PointRangeQuery.newBinaryRange("value",
assertEquals(1, s.count(BinaryPoint.newRangeQuery("value",
toUTF8("def"),
true,
null,
false)));
assertEquals(1, s.count(PointRangeQuery.newBinaryRange("value",
assertEquals(1, s.count(BinaryPoint.newRangeQuery("value",
toUTF8(("def")),
true,
toUTF8("z", 3),
true)));
assertEquals(0, s.count(PointRangeQuery.newBinaryRange("value",
assertEquals(0, s.count(BinaryPoint.newRangeQuery("value",
toUTF8("def"),
false,
toUTF8("z", 3),
@ -839,12 +839,12 @@ public class TestPointQueries extends LuceneTestCase {
IndexSearcher s = newSearcher(r);
assertEquals(2, s.count(PointRangeQuery.newLongRange("value", Long.MIN_VALUE, true, Long.MAX_VALUE, true)));
assertEquals(1, s.count(PointRangeQuery.newLongRange("value", Long.MIN_VALUE, true, Long.MAX_VALUE, false)));
assertEquals(1, s.count(PointRangeQuery.newLongRange("value", Long.MIN_VALUE, false, Long.MAX_VALUE, true)));
assertEquals(0, s.count(PointRangeQuery.newLongRange("value", Long.MIN_VALUE, false, Long.MAX_VALUE, false)));
assertEquals(2, s.count(LongPoint.newRangeQuery("value", Long.MIN_VALUE, true, Long.MAX_VALUE, true)));
assertEquals(1, s.count(LongPoint.newRangeQuery("value", Long.MIN_VALUE, true, Long.MAX_VALUE, false)));
assertEquals(1, s.count(LongPoint.newRangeQuery("value", Long.MIN_VALUE, false, Long.MAX_VALUE, true)));
assertEquals(0, s.count(LongPoint.newRangeQuery("value", Long.MIN_VALUE, false, Long.MAX_VALUE, false)));
assertEquals(2, s.count(PointRangeQuery.newBinaryRange("value", (byte[]) null, true, null, true)));
assertEquals(2, s.count(BinaryPoint.newRangeQuery("value", (byte[]) null, true, null, true)));
IOUtils.close(r, w, dir);
}
@ -866,12 +866,12 @@ public class TestPointQueries extends LuceneTestCase {
// We can't wrap with "exotic" readers because the query must see the RangeTreeDVFormat:
IndexSearcher s = newSearcher(r, false);
assertEquals(2, s.count(PointRangeQuery.newLongRange("value", Long.MIN_VALUE, true, Long.MAX_VALUE, true)));
assertEquals(1, s.count(PointRangeQuery.newLongRange("value", Long.MIN_VALUE, true, Long.MAX_VALUE, false)));
assertEquals(1, s.count(PointRangeQuery.newLongRange("value", Long.MIN_VALUE, false, Long.MAX_VALUE, true)));
assertEquals(0, s.count(PointRangeQuery.newLongRange("value", Long.MIN_VALUE, false, Long.MAX_VALUE, false)));
assertEquals(2, s.count(LongPoint.newRangeQuery("value", Long.MIN_VALUE, true, Long.MAX_VALUE, true)));
assertEquals(1, s.count(LongPoint.newRangeQuery("value", Long.MIN_VALUE, true, Long.MAX_VALUE, false)));
assertEquals(1, s.count(LongPoint.newRangeQuery("value", Long.MIN_VALUE, false, Long.MAX_VALUE, true)));
assertEquals(0, s.count(LongPoint.newRangeQuery("value", Long.MIN_VALUE, false, Long.MAX_VALUE, false)));
assertEquals(2, s.count(PointRangeQuery.newLongRange("value", (Long) null, true, null, true)));
assertEquals(2, s.count(LongPoint.newRangeQuery("value", (Long) null, true, null, true)));
IOUtils.close(r, w, dir);
}
@ -891,9 +891,9 @@ public class TestPointQueries extends LuceneTestCase {
IndexReader r = w.getReader();
IndexSearcher s = newSearcher(r);
assertEquals(0, s.count(PointRangeQuery.newBinaryRange("value", toUTF8("m"), true, toUTF8("n"), false)));
assertEquals(0, s.count(BinaryPoint.newRangeQuery("value", toUTF8("m"), true, toUTF8("n"), false)));
assertEquals(2, s.count(PointRangeQuery.newBinaryRange("value", (byte[]) null, true, null, true)));
assertEquals(2, s.count(BinaryPoint.newRangeQuery("value", (byte[]) null, true, null, true)));
IOUtils.close(r, w, dir);
}
@ -913,7 +913,7 @@ public class TestPointQueries extends LuceneTestCase {
IndexReader r = w.getReader();
IndexSearcher s = new IndexSearcher(r);
assertEquals(0, s.count(PointRangeQuery.newLongRange("value", 17L, true, 13L, false)));
assertEquals(0, s.count(LongPoint.newRangeQuery("value", 17L, true, 13L, false)));
IOUtils.close(r, w, dir);
}
@ -928,7 +928,7 @@ public class TestPointQueries extends LuceneTestCase {
IndexReader r = w.getReader();
IndexSearcher s = newSearcher(r);
assertEquals(0, s.count(PointRangeQuery.newLongRange("value", 17L, true, 13L, false)));
assertEquals(0, s.count(LongPoint.newRangeQuery("value", 17L, true, 13L, false)));
IOUtils.close(r, w, dir);
}
@ -948,7 +948,7 @@ public class TestPointQueries extends LuceneTestCase {
IndexSearcher s = new IndexSearcher(r);
byte[][] point = new byte[2][];
IllegalArgumentException expected = expectThrows(IllegalArgumentException.class, () -> {
s.count(new PointRangeQuery("value", point, new boolean[] {true, true}, point, new boolean[] {true, true}));
s.count(BinaryPoint.newMultiRangeQuery("value", point, new boolean[] {true, true}, point, new boolean[] {true, true}));
});
assertEquals("field=\"value\" was indexed with numDims=1 but this query has numDims=2", expected.getMessage());
@ -971,7 +971,7 @@ public class TestPointQueries extends LuceneTestCase {
byte[][] point = new byte[1][];
point[0] = new byte[10];
IllegalArgumentException expected = expectThrows(IllegalArgumentException.class, () -> {
s.count(new PointRangeQuery("value", point, new boolean[] {true}, point, new boolean[] {true}));
s.count(BinaryPoint.newMultiRangeQuery("value", point, new boolean[] {true}, point, new boolean[] {true}));
});
assertEquals("field=\"value\" was indexed with bytesPerDim=8 but this query has bytesPerDim=10", expected.getMessage());
@ -1068,17 +1068,17 @@ public class TestPointQueries extends LuceneTestCase {
IndexReader r = DirectoryReader.open(w);
IndexSearcher s = newSearcher(r);
assertEquals(1, s.count(PointRangeQuery.newIntExact("int", 42)));
assertEquals(0, s.count(PointRangeQuery.newIntExact("int", 41)));
assertEquals(1, s.count(IntPoint.newExactQuery("int", 42)));
assertEquals(0, s.count(IntPoint.newExactQuery("int", 41)));
assertEquals(1, s.count(PointRangeQuery.newLongExact("long", 5L)));
assertEquals(0, s.count(PointRangeQuery.newLongExact("long", -1L)));
assertEquals(1, s.count(LongPoint.newExactQuery("long", 5L)));
assertEquals(0, s.count(LongPoint.newExactQuery("long", -1L)));
assertEquals(1, s.count(PointRangeQuery.newFloatExact("float", 2.0f)));
assertEquals(0, s.count(PointRangeQuery.newFloatExact("float", 1.0f)));
assertEquals(1, s.count(FloatPoint.newExactQuery("float", 2.0f)));
assertEquals(0, s.count(FloatPoint.newExactQuery("float", 1.0f)));
assertEquals(1, s.count(PointRangeQuery.newDoubleExact("double", 1.0)));
assertEquals(0, s.count(PointRangeQuery.newDoubleExact("double", 2.0)));
assertEquals(1, s.count(DoublePoint.newExactQuery("double", 1.0)));
assertEquals(0, s.count(DoublePoint.newExactQuery("double", 2.0)));
w.close();
r.close();
dir.close();
@ -1087,27 +1087,27 @@ public class TestPointQueries extends LuceneTestCase {
public void testToString() throws Exception {
// ints
assertEquals("field:[1 TO 2}", PointRangeQuery.newIntRange("field", 1, true, 2, false).toString());
assertEquals("field:{-2 TO 1]", PointRangeQuery.newIntRange("field", -2, false, 1, true).toString());
assertEquals("field:[* TO 2}", PointRangeQuery.newIntRange("field", null, true, 2, false).toString());
assertEquals("field:[1 TO 2}", IntPoint.newRangeQuery("field", 1, true, 2, false).toString());
assertEquals("field:{-2 TO 1]", IntPoint.newRangeQuery("field", -2, false, 1, true).toString());
assertEquals("field:[* TO 2}", IntPoint.newRangeQuery("field", null, true, 2, false).toString());
// longs
assertEquals("field:[1099511627776 TO 2199023255552}", PointRangeQuery.newLongRange("field", 1L<<40, true, 1L<<41, false).toString());
assertEquals("field:{-5 TO 6]", PointRangeQuery.newLongRange("field", -5L, false, 6L, true).toString());
assertEquals("field:[* TO 2}", PointRangeQuery.newLongRange("field", null, true, 2L, false).toString());
assertEquals("field:[1099511627776 TO 2199023255552}", LongPoint.newRangeQuery("field", 1L<<40, true, 1L<<41, false).toString());
assertEquals("field:{-5 TO 6]", LongPoint.newRangeQuery("field", -5L, false, 6L, true).toString());
assertEquals("field:[* TO 2}", LongPoint.newRangeQuery("field", null, true, 2L, false).toString());
// floats
assertEquals("field:[1.3 TO 2.5}", PointRangeQuery.newFloatRange("field", 1.3F, true, 2.5F, false).toString());
assertEquals("field:{-2.9 TO 1.0]", PointRangeQuery.newFloatRange("field", -2.9F, false, 1.0F, true).toString());
assertEquals("field:{-2.9 TO *]", PointRangeQuery.newFloatRange("field", -2.9F, false, null, true).toString());
assertEquals("field:[1.3 TO 2.5}", FloatPoint.newRangeQuery("field", 1.3F, true, 2.5F, false).toString());
assertEquals("field:{-2.9 TO 1.0]", FloatPoint.newRangeQuery("field", -2.9F, false, 1.0F, true).toString());
assertEquals("field:{-2.9 TO *]", FloatPoint.newRangeQuery("field", -2.9F, false, null, true).toString());
// doubles
assertEquals("field:[1.3 TO 2.5}", PointRangeQuery.newDoubleRange("field", 1.3, true, 2.5, false).toString());
assertEquals("field:{-2.9 TO 1.0]", PointRangeQuery.newDoubleRange("field", -2.9, false, 1.0, true).toString());
assertEquals("field:{-2.9 TO *]", PointRangeQuery.newDoubleRange("field", -2.9, false, null, true).toString());
assertEquals("field:[1.3 TO 2.5}", DoublePoint.newRangeQuery("field", 1.3, true, 2.5, false).toString());
assertEquals("field:{-2.9 TO 1.0]", DoublePoint.newRangeQuery("field", -2.9, false, 1.0, true).toString());
assertEquals("field:{-2.9 TO *]", DoublePoint.newRangeQuery("field", -2.9, false, null, true).toString());
// n-dimensional double
assertEquals("field:[1.3 TO 2.5},{-2.9 TO 1.0]", PointRangeQuery.newMultiDoubleRange("field",
assertEquals("field:[1.3 TO 2.5},{-2.9 TO 1.0]", DoublePoint.newMultiRangeQuery("field",
new Double[] { 1.3, -2.9 },
new boolean[] { true, false },
new Double[] { 2.5, 1.0 },

View File

@ -16,7 +16,7 @@
*/
package org.apache.lucene.search;
import org.apache.lucene.document.IntPoint;
import org.apache.lucene.index.MultiReader;
import org.apache.lucene.index.SlowCompositeReaderWrapper;
import org.apache.lucene.index.Term;
@ -26,7 +26,7 @@ public class TestUsageTrackingFilterCachingPolicy extends LuceneTestCase {
public void testCostlyFilter() {
assertTrue(UsageTrackingQueryCachingPolicy.isCostly(new PrefixQuery(new Term("field", "prefix"))));
assertTrue(UsageTrackingQueryCachingPolicy.isCostly(PointRangeQuery.newIntRange("intField", 1, true, 1000, true)));
assertTrue(UsageTrackingQueryCachingPolicy.isCostly(IntPoint.newRangeQuery("intField", 1, true, 1000, true)));
assertFalse(UsageTrackingQueryCachingPolicy.isCostly(new TermQuery(new Term("field", "value"))));
}

View File

@ -16,7 +16,6 @@
*/
package org.apache.lucene.demo.facet;
import org.apache.lucene.analysis.core.WhitespaceAnalyzer;
import org.apache.lucene.document.DoublePoint;
import org.apache.lucene.document.Document;
@ -40,7 +39,6 @@ import org.apache.lucene.index.IndexWriterConfig.OpenMode;
import org.apache.lucene.queries.function.ValueSource;
import org.apache.lucene.search.BooleanClause;
import org.apache.lucene.search.BooleanQuery;
import org.apache.lucene.search.PointRangeQuery;
import org.apache.lucene.search.IndexSearcher;
import org.apache.lucene.search.MatchAllDocsQuery;
import org.apache.lucene.search.Query;
@ -181,7 +179,7 @@ public class DistanceFacetsExample implements Closeable {
BooleanQuery.Builder f = new BooleanQuery.Builder();
// Add latitude range filter:
f.add(PointRangeQuery.newDoubleRange("latitude", Math.toDegrees(minLat), true, Math.toDegrees(maxLat), true),
f.add(DoublePoint.newRangeQuery("latitude", Math.toDegrees(minLat), true, Math.toDegrees(maxLat), true),
BooleanClause.Occur.FILTER);
// Add longitude range filter:
@ -189,13 +187,13 @@ public class DistanceFacetsExample implements Closeable {
// The bounding box crosses the international date
// line:
BooleanQuery.Builder lonF = new BooleanQuery.Builder();
lonF.add(PointRangeQuery.newDoubleRange("longitude", Math.toDegrees(minLng), true, null, true),
lonF.add(DoublePoint.newRangeQuery("longitude", Math.toDegrees(minLng), true, null, true),
BooleanClause.Occur.SHOULD);
lonF.add(PointRangeQuery.newDoubleRange("longitude", null, true, Math.toDegrees(maxLng), true),
lonF.add(DoublePoint.newRangeQuery("longitude", null, true, Math.toDegrees(maxLng), true),
BooleanClause.Occur.SHOULD);
f.add(lonF.build(), BooleanClause.Occur.MUST);
} else {
f.add(PointRangeQuery.newDoubleRange("longitude", Math.toDegrees(minLng), true, Math.toDegrees(maxLng), true),
f.add(DoublePoint.newRangeQuery("longitude", Math.toDegrees(minLng), true, Math.toDegrees(maxLng), true),
BooleanClause.Occur.FILTER);
}

View File

@ -16,7 +16,6 @@
*/
package org.apache.lucene.demo.facet;
import org.apache.lucene.analysis.core.WhitespaceAnalyzer;
import org.apache.lucene.document.LongPoint;
import org.apache.lucene.document.Document;
@ -32,7 +31,6 @@ import org.apache.lucene.index.DirectoryReader;
import org.apache.lucene.index.IndexWriter;
import org.apache.lucene.index.IndexWriterConfig;
import org.apache.lucene.index.IndexWriterConfig.OpenMode;
import org.apache.lucene.search.PointRangeQuery;
import org.apache.lucene.search.IndexSearcher;
import org.apache.lucene.search.MatchAllDocsQuery;
import org.apache.lucene.search.TopDocs;
@ -107,7 +105,7 @@ public class RangeFacetsExample implements Closeable {
// documents ("browse only"):
DrillDownQuery q = new DrillDownQuery(getConfig());
q.add("timestamp", PointRangeQuery.newLongRange("timestamp", range.min, range.minInclusive, range.max, range.maxInclusive));
q.add("timestamp", LongPoint.newRangeQuery("timestamp", range.min, range.minInclusive, range.max, range.maxInclusive));
return searcher.search(q, 10);
}

View File

@ -54,7 +54,6 @@ import org.apache.lucene.queries.function.docvalues.DoubleDocValues;
import org.apache.lucene.queries.function.valuesource.DoubleFieldSource;
import org.apache.lucene.queries.function.valuesource.FloatFieldSource;
import org.apache.lucene.queries.function.valuesource.LongFieldSource;
import org.apache.lucene.search.PointRangeQuery;
import org.apache.lucene.search.Explanation;
import org.apache.lucene.search.IndexSearcher;
import org.apache.lucene.search.MatchAllDocsQuery;
@ -281,7 +280,7 @@ public class TestRangeFacetCounts extends FacetTestCase {
// Third search, drill down on "less than or equal to 10":
ddq = new DrillDownQuery(config);
ddq.add("field", PointRangeQuery.newLongRange("field", 0L, true, 10L, true));
ddq.add("field", LongPoint.newRangeQuery("field", 0L, true, 10L, true));
dsr = ds.search(null, ddq, 10);
assertEquals(11, dsr.hits.totalHits);
@ -461,9 +460,9 @@ public class TestRangeFacetCounts extends FacetTestCase {
Query fastMatchQuery;
if (random().nextBoolean()) {
if (random().nextBoolean()) {
fastMatchQuery = PointRangeQuery.newLongRange("field", minValue, true, maxValue, true);
fastMatchQuery = LongPoint.newRangeQuery("field", minValue, true, maxValue, true);
} else {
fastMatchQuery = PointRangeQuery.newLongRange("field", minAcceptedValue, true, maxAcceptedValue, true);
fastMatchQuery = LongPoint.newRangeQuery("field", minAcceptedValue, true, maxAcceptedValue, true);
}
} else {
fastMatchQuery = null;
@ -485,7 +484,7 @@ public class TestRangeFacetCounts extends FacetTestCase {
// Test drill-down:
DrillDownQuery ddq = new DrillDownQuery(config);
if (random().nextBoolean()) {
ddq.add("field", PointRangeQuery.newLongRange("field", range.min, range.minInclusive, range.max, range.maxInclusive));
ddq.add("field", LongPoint.newRangeQuery("field", range.min, range.minInclusive, range.max, range.maxInclusive));
} else {
ddq.add("field", range.getQuery(fastMatchQuery, vs));
}
@ -616,9 +615,9 @@ public class TestRangeFacetCounts extends FacetTestCase {
Query fastMatchQuery;
if (random().nextBoolean()) {
if (random().nextBoolean()) {
fastMatchQuery = PointRangeQuery.newFloatRange("field", minValue, true, maxValue, true);
fastMatchQuery = FloatPoint.newRangeQuery("field", minValue, true, maxValue, true);
} else {
fastMatchQuery = PointRangeQuery.newFloatRange("field", minAcceptedValue, true, maxAcceptedValue, true);
fastMatchQuery = FloatPoint.newRangeQuery("field", minAcceptedValue, true, maxAcceptedValue, true);
}
} else {
fastMatchQuery = null;
@ -640,7 +639,7 @@ public class TestRangeFacetCounts extends FacetTestCase {
// Test drill-down:
DrillDownQuery ddq = new DrillDownQuery(config);
if (random().nextBoolean()) {
ddq.add("field", PointRangeQuery.newFloatRange("field", (float) range.min, range.minInclusive, (float) range.max, range.maxInclusive));
ddq.add("field", FloatPoint.newRangeQuery("field", (float) range.min, range.minInclusive, (float) range.max, range.maxInclusive));
} else {
ddq.add("field", range.getQuery(fastMatchQuery, vs));
}
@ -755,9 +754,9 @@ public class TestRangeFacetCounts extends FacetTestCase {
Query fastMatchFilter;
if (random().nextBoolean()) {
if (random().nextBoolean()) {
fastMatchFilter = PointRangeQuery.newDoubleRange("field", minValue, true, maxValue, true);
fastMatchFilter = DoublePoint.newRangeQuery("field", minValue, true, maxValue, true);
} else {
fastMatchFilter = PointRangeQuery.newDoubleRange("field", minAcceptedValue, true, maxAcceptedValue, true);
fastMatchFilter = DoublePoint.newRangeQuery("field", minAcceptedValue, true, maxAcceptedValue, true);
}
} else {
fastMatchFilter = null;
@ -779,7 +778,7 @@ public class TestRangeFacetCounts extends FacetTestCase {
// Test drill-down:
DrillDownQuery ddq = new DrillDownQuery(config);
if (random().nextBoolean()) {
ddq.add("field", PointRangeQuery.newDoubleRange("field", range.min, range.minInclusive, range.max, range.maxInclusive));
ddq.add("field", DoublePoint.newRangeQuery("field", range.min, range.minInclusive, range.max, range.maxInclusive));
} else {
ddq.add("field", range.getQuery(fastMatchFilter, vs));
}

View File

@ -62,7 +62,6 @@ import org.apache.lucene.queries.payloads.SpanPayloadCheckQuery;
import org.apache.lucene.search.BooleanClause.Occur;
import org.apache.lucene.search.BooleanQuery;
import org.apache.lucene.search.ConstantScoreQuery;
import org.apache.lucene.search.PointRangeQuery;
import org.apache.lucene.search.FuzzyQuery;
import org.apache.lucene.search.IndexSearcher;
import org.apache.lucene.search.MultiPhraseQuery;
@ -584,7 +583,7 @@ public class HighlighterTest extends BaseTokenStreamTestCase implements Formatte
public void testDimensionalRangeQuery() throws Exception {
// doesn't currently highlight, but make sure it doesn't cause exception either
query = PointRangeQuery.newIntRange(NUMERIC_FIELD_NAME, 2, true, 6, true);
query = IntPoint.newRangeQuery(NUMERIC_FIELD_NAME, 2, true, 6, true);
searcher = newSearcher(reader);
hits = searcher.search(query, 100);
int maxNumFragmentsRequired = 2;

View File

@ -22,13 +22,23 @@ import org.apache.lucene.search.PointRangeQuery;
import org.apache.lucene.util.BytesRef;
import org.apache.lucene.util.NumericUtils;
/** A 128-bit integer field that is indexed dimensionally such that finding
* all documents within an N-dimensional shape or range at search time is
* efficient. Multiple values for the same field in one documents
* is allowed. */
/**
* A 128-bit integer field that is indexed dimensionally such that finding
* all documents within an N-dimensional shape or range at search time is
* efficient. Multiple values for the same field in one documents
* is allowed.
* <p>
* This field defines static factory methods for creating common queries:
* <ul>
* <li>{@link #newExactQuery newExactQuery()} for matching an exact 1D point.
* <li>{@link #newRangeQuery newRangeQuery()} for matching a 1D range.
* <li>{@link #newMultiRangeQuery newMultiRangeQuery()} for matching points/ranges in n-dimensional space.
* </ul>
*/
public class BigIntegerPoint extends Field {
static final int BYTES = 16;
/** The number of bytes per dimension: 128 bits. */
public static final int BYTES = 16;
private static FieldType getType(int numDims) {
FieldType type = new FieldType();
@ -107,10 +117,8 @@ public class BigIntegerPoint extends Field {
return result.toString();
}
// public helper methods (e.g. for queries)
/** Encode n-dimensional BigInteger values into binary encoding */
public static byte[][] encode(BigInteger value[]) {
/** sugar: Encode n-dimensional BigInteger values into binary encoding */
private static byte[][] encode(BigInteger value[]) {
byte[][] encoded = new byte[value.length][];
for (int i = 0; i < value.length; i++) {
if (value[i] != null) {
@ -120,6 +128,8 @@ public class BigIntegerPoint extends Field {
}
return encoded;
}
// public helper methods (e.g. for queries)
/** Encode single BigInteger dimension */
public static void encodeDimension(BigInteger value, byte dest[], int offset) {
@ -134,25 +144,25 @@ public class BigIntegerPoint extends Field {
// static methods for generating queries
/**
* Create a range query for matching an exact big integer value.
* Create a query for matching an exact big integer value.
* <p>
* This is for simple one-dimension points, for multidimensional points use
* {@link #newMultiBigIntegerRange newMultiBigIntegerRange()} instead.
* {@link #newMultiRangeQuery newMultiRangeQuery()} instead.
*
* @param field field name. must not be {@code null}.
* @param value exact value
* @throws IllegalArgumentException if {@code field} is null.
* @return a query matching documents with this exact value
*/
public static PointRangeQuery newBigIntegerExact(String field, BigInteger value) {
return newBigIntegerRange(field, value, true, value, true);
public static PointRangeQuery newExactQuery(String field, BigInteger value) {
return newRangeQuery(field, value, true, value, true);
}
/**
* Create a range query for big integer values indexed with {@link BigIntegerPoint}.
* Create a range query for big integer values.
* <p>
* This is for simple one-dimension ranges, for multidimensional ranges use
* {@link #newMultiBigIntegerRange newMultiBigIntegerRange()} instead.
* {@link #newMultiRangeQuery newMultiRangeQuery()} instead.
* <p>
* You can have half-open ranges (which are in fact &lt;/&le; or &gt;/&ge; queries)
* by setting the {@code lowerValue} or {@code upperValue} to {@code null}.
@ -168,16 +178,16 @@ public class BigIntegerPoint extends Field {
* @throws IllegalArgumentException if {@code field} is null.
* @return a query matching documents within this range.
*/
public static PointRangeQuery newBigIntegerRange(String field, BigInteger lowerValue, boolean lowerInclusive, BigInteger upperValue, boolean upperInclusive) {
return newMultiBigIntegerRange(field,
new BigInteger[] { lowerValue },
new boolean[] { lowerInclusive },
new BigInteger[] { upperValue },
new boolean[] { upperInclusive });
public static PointRangeQuery newRangeQuery(String field, BigInteger lowerValue, boolean lowerInclusive, BigInteger upperValue, boolean upperInclusive) {
return newMultiRangeQuery(field,
new BigInteger[] { lowerValue },
new boolean[] { lowerInclusive },
new BigInteger[] { upperValue },
new boolean[] { upperInclusive });
}
/**
* Create a multidimensional range query for big integer values indexed with {@link BigIntegerPoint}.
* Create a multidimensional range query for big integer values.
* <p>
* You can have half-open ranges (which are in fact &lt;/&le; or &gt;/&ge; queries)
* by setting a {@code lowerValue} element or {@code upperValue} element to {@code null}.
@ -193,7 +203,7 @@ public class BigIntegerPoint extends Field {
* @throws IllegalArgumentException if {@code field} is null, or if {@code lowerValue.length != upperValue.length}
* @return a query matching documents within this range.
*/
public static PointRangeQuery newMultiBigIntegerRange(String field, BigInteger[] lowerValue, boolean lowerInclusive[], BigInteger[] upperValue, boolean upperInclusive[]) {
public static PointRangeQuery newMultiRangeQuery(String field, BigInteger[] lowerValue, boolean lowerInclusive[], BigInteger[] upperValue, boolean upperInclusive[]) {
PointRangeQuery.checkArgs(field, lowerValue, upperValue);
return new PointRangeQuery(field, BigIntegerPoint.encode(lowerValue), lowerInclusive, BigIntegerPoint.encode(upperValue), upperInclusive) {
@Override

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@ -22,20 +22,29 @@ import java.net.UnknownHostException;
import org.apache.lucene.search.PointRangeQuery;
import org.apache.lucene.util.BytesRef;
/** A field indexing {@link InetAddress} dimensionally such that finding
* all documents within a range at search time is
* efficient. Multiple values for the same field in one document
* is allowed.
* <p>
* This field supports both IPv4 and IPv6 addresses: IPv4 addresses are converted
* to <a href="https://tools.ietf.org/html/rfc4291#section-2.5.5">IPv4-Mapped IPv6 Addresses</a>:
* indexing {@code 1.2.3.4} is the same as indexing {@code ::FFFF:1.2.3.4}.
/**
* A field indexing {@link InetAddress} dimensionally such that finding
* all documents within a range 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 newExactQuery()} for matching an exact network address.
* <li>{@link #newPrefixQuery newPrefixQuery()} for matching a network based on CIDR prefix.
* <li>{@link #newRangeQuery newRangeQuery()} for matching arbitrary network address ranges.
* </ul>
* <p>
* This field supports both IPv4 and IPv6 addresses: IPv4 addresses are converted
* to <a href="https://tools.ietf.org/html/rfc4291#section-2.5.5">IPv4-Mapped IPv6 Addresses</a>:
* indexing {@code 1.2.3.4} is the same as indexing {@code ::FFFF:1.2.3.4}.
*/
public class InetAddressPoint extends Field {
// implementation note: we convert all addresses to IPv6: we expect prefix compression of values,
// so its not wasteful, but allows one field to handle both IPv4 and IPv6.
static final int BYTES = 16;
/** The number of bytes per dimension: 128 bits */
public static final int BYTES = 16;
// rfc4291 prefix
static final byte[] IPV4_PREFIX = new byte[] { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, -1 };
@ -80,8 +89,16 @@ public class InetAddressPoint extends Field {
result.append(name);
result.append(':');
// IPv6 addresses are bracketed, to not cause confusion with historic field:value representation
BytesRef bytes = (BytesRef) fieldsData;
result.append(decodeToString(BytesRef.deepCopyOf(bytes).bytes));
InetAddress address = decode(BytesRef.deepCopyOf(bytes).bytes);
if (address.getAddress().length == 16) {
result.append('[');
result.append(address.getHostAddress());
result.append(']');
} else {
result.append(address.getHostAddress());
}
result.append('>');
return result.toString();
@ -113,34 +130,23 @@ public class InetAddressPoint extends Field {
throw new IllegalArgumentException("encoded bytes are of incorrect length", e);
}
}
/** decodes from binary encoding to a friendly format: IPv6 addresses are bracketed,
* to not cause confusion with historic field:value representation, etc */
public static String decodeToString(byte value[]) {
InetAddress address = decode(value);
if (address.getAddress().length == 16) {
return "[" + address.getHostAddress() + "]";
} else {
return address.getHostAddress();
}
}
// static methods for generating queries
/**
* Create a range query for matching an address.
* Create a query for matching a network address.
*
* @param field field name. must not be {@code null}.
* @param value exact value
* @throws IllegalArgumentException if {@code field} is null.
* @return a query matching documents with this exact value
*/
public static PointRangeQuery newInetAddressExact(String field, InetAddress value) {
return newInetAddressRange(field, value, true, value, true);
public static PointRangeQuery newExactQuery(String field, InetAddress value) {
return newRangeQuery(field, value, true, value, true);
}
/**
* Create a range query for matching a CIDR network range.
* Create a prefix query for matching a CIDR network range.
*
* @param field field name. must not be {@code null}.
* @param value any host address
@ -148,7 +154,7 @@ public class InetAddressPoint extends Field {
* @throws IllegalArgumentException if {@code field} is null, or prefixLength is invalid.
* @return a query matching documents with addresses contained within this network
*/
public static PointRangeQuery newInetAddressPrefix(String field, InetAddress value, int prefixLength) {
public static PointRangeQuery newPrefixQuery(String field, InetAddress value, int prefixLength) {
if (prefixLength < 0 || prefixLength > 8 * value.getAddress().length) {
throw new IllegalArgumentException("illegal prefixLength '" + prefixLength + "'. Must be 0-32 for IPv4 ranges, 0-128 for IPv6 ranges");
}
@ -160,14 +166,14 @@ public class InetAddressPoint extends Field {
upper[i >> 3] |= 1 << (i & 7);
}
try {
return newInetAddressRange(field, InetAddress.getByAddress(lower), true, InetAddress.getByAddress(upper), true);
return newRangeQuery(field, InetAddress.getByAddress(lower), true, InetAddress.getByAddress(upper), true);
} catch (UnknownHostException e) {
throw new AssertionError(e); // values are coming from InetAddress
}
}
/**
* Create a range query for addresses indexed with {@link InetAddressPoint}.
* Create a range query for network addresses.
* <p>
* You can have half-open ranges (which are in fact &lt;/&le; or &gt;/&ge; queries)
* by setting the {@code lowerValue} or {@code upperValue} to {@code null}.
@ -183,7 +189,7 @@ public class InetAddressPoint extends Field {
* @throws IllegalArgumentException if {@code field} is null.
* @return a query matching documents within this range.
*/
public static PointRangeQuery newInetAddressRange(String field, InetAddress lowerValue, boolean lowerInclusive, InetAddress upperValue, boolean upperInclusive) {
public static PointRangeQuery newRangeQuery(String field, InetAddress lowerValue, boolean lowerInclusive, InetAddress upperValue, boolean upperInclusive) {
byte[][] lowerBytes = new byte[1][];
if (lowerValue != null) {
lowerBytes[0] = InetAddressPoint.encode(lowerValue);

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@ -41,8 +41,8 @@ public class TestBigIntegerPoint extends LuceneTestCase {
// search and verify we found our doc
IndexReader reader = writer.getReader();
IndexSearcher searcher = newSearcher(reader);
assertEquals(1, searcher.count(BigIntegerPoint.newBigIntegerExact("field", large)));
assertEquals(1, searcher.count(BigIntegerPoint.newBigIntegerRange("field", large.subtract(BigInteger.ONE), false, large.add(BigInteger.ONE), false)));
assertEquals(1, searcher.count(BigIntegerPoint.newExactQuery("field", large)));
assertEquals(1, searcher.count(BigIntegerPoint.newRangeQuery("field", large.subtract(BigInteger.ONE), false, large.add(BigInteger.ONE), false)));
reader.close();
writer.close();
@ -63,8 +63,8 @@ public class TestBigIntegerPoint extends LuceneTestCase {
// search and verify we found our doc
IndexReader reader = writer.getReader();
IndexSearcher searcher = newSearcher(reader);
assertEquals(1, searcher.count(BigIntegerPoint.newBigIntegerExact("field", negative)));
assertEquals(1, searcher.count(BigIntegerPoint.newBigIntegerRange("field", negative.subtract(BigInteger.ONE), false, negative.add(BigInteger.ONE), false)));
assertEquals(1, searcher.count(BigIntegerPoint.newExactQuery("field", negative)));
assertEquals(1, searcher.count(BigIntegerPoint.newRangeQuery("field", negative.subtract(BigInteger.ONE), false, negative.add(BigInteger.ONE), false)));
reader.close();
writer.close();

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@ -41,9 +41,9 @@ public class TestInetAddressPoint extends LuceneTestCase {
// search and verify we found our doc
IndexReader reader = writer.getReader();
IndexSearcher searcher = newSearcher(reader);
assertEquals(1, searcher.count(InetAddressPoint.newInetAddressExact("field", address)));
assertEquals(1, searcher.count(InetAddressPoint.newInetAddressPrefix("field", address, 24)));
assertEquals(1, searcher.count(InetAddressPoint.newInetAddressRange("field", InetAddress.getByName("1.2.3.3"), false, InetAddress.getByName("1.2.3.5"), false)));
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"), false, InetAddress.getByName("1.2.3.5"), false)));
reader.close();
writer.close();
@ -64,9 +64,9 @@ public class TestInetAddressPoint extends LuceneTestCase {
// search and verify we found our doc
IndexReader reader = writer.getReader();
IndexSearcher searcher = newSearcher(reader);
assertEquals(1, searcher.count(InetAddressPoint.newInetAddressExact("field", address)));
assertEquals(1, searcher.count(InetAddressPoint.newInetAddressPrefix("field", address, 64)));
assertEquals(1, searcher.count(InetAddressPoint.newInetAddressRange("field", InetAddress.getByName("fec0::f66c"), false, InetAddress.getByName("fec0::f66e"), false)));
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"), false, InetAddress.getByName("fec0::f66e"), false)));
reader.close();
writer.close();
@ -78,10 +78,10 @@ public class TestInetAddressPoint extends LuceneTestCase {
assertEquals("<field:1.2.3.4>", new InetAddressPoint("field", InetAddress.getByName("::FFFF:1.2.3.4")).toString());
assertEquals("<field:[fdc8:57ed:f042:ad1:f66d:4ff:fe90:ce0c]>", new InetAddressPoint("field", InetAddress.getByName("fdc8:57ed:f042:0ad1:f66d:4ff:fe90:ce0c")).toString());
assertEquals("field:[1.2.3.4 TO 1.2.3.4]", InetAddressPoint.newInetAddressExact("field", InetAddress.getByName("1.2.3.4")).toString());
assertEquals("field:[0:0:0:0:0:0:0:1 TO 0:0:0:0:0:0:0:1]", InetAddressPoint.newInetAddressExact("field", InetAddress.getByName("::1")).toString());
assertEquals("field:[1.2.3.4 TO 1.2.3.4]", InetAddressPoint.newExactQuery("field", InetAddress.getByName("1.2.3.4")).toString());
assertEquals("field:[0:0:0:0:0:0:0:1 TO 0:0:0:0:0:0:0:1]", InetAddressPoint.newExactQuery("field", InetAddress.getByName("::1")).toString());
assertEquals("field:[1.2.3.0 TO 1.2.3.255]", InetAddressPoint.newInetAddressPrefix("field", InetAddress.getByName("1.2.3.4"), 24).toString());
assertEquals("field:[fdc8:57ed:f042:ad1:0:0:0:0 TO fdc8:57ed:f042:ad1:ffff:ffff:ffff:ffff]", InetAddressPoint.newInetAddressPrefix("field", InetAddress.getByName("fdc8:57ed:f042:0ad1:f66d:4ff:fe90:ce0c"), 64).toString());
assertEquals("field:[1.2.3.0 TO 1.2.3.255]", InetAddressPoint.newPrefixQuery("field", InetAddress.getByName("1.2.3.4"), 24).toString());
assertEquals("field:[fdc8:57ed:f042:ad1:0:0:0:0 TO fdc8:57ed:f042:ad1:ffff:ffff:ffff:ffff]", InetAddressPoint.newPrefixQuery("field", InetAddress.getByName("fdc8:57ed:f042:0ad1:f66d:4ff:fe90:ce0c"), 64).toString());
}
}

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@ -35,7 +35,6 @@ import org.apache.lucene.store.Directory;
import org.apache.lucene.util.BytesRef;
import org.apache.lucene.util.LuceneTestCase;
import org.apache.lucene.util.NumericUtils;
import org.apache.lucene.util.RamUsageEstimator;
import org.apache.lucene.util.TestUtil;
public class TestDocValuesRangeQuery extends LuceneTestCase {
@ -57,7 +56,7 @@ public class TestDocValuesRangeQuery extends LuceneTestCase {
iw.addDocument(doc);
}
if (random().nextBoolean()) {
iw.deleteDocuments(PointRangeQuery.newLongRange("idx", 0L, true, 10L, true));
iw.deleteDocuments(LongPoint.newRangeQuery("idx", 0L, true, 10L, true));
}
iw.commit();
final IndexReader reader = iw.getReader();
@ -69,7 +68,7 @@ public class TestDocValuesRangeQuery extends LuceneTestCase {
final Long max = random().nextBoolean() ? null : TestUtil.nextLong(random(), -100, 1000);
final boolean minInclusive = random().nextBoolean();
final boolean maxInclusive = random().nextBoolean();
final Query q1 = PointRangeQuery.newLongRange("idx", min, minInclusive, max, maxInclusive);
final Query q1 = LongPoint.newRangeQuery("idx", min, minInclusive, max, maxInclusive);
final Query q2 = DocValuesRangeQuery.newLongRange("dv", min, max, minInclusive, maxInclusive);
assertSameMatches(searcher, q1, q2, false);
}
@ -185,7 +184,7 @@ public class TestDocValuesRangeQuery extends LuceneTestCase {
iw.addDocument(doc);
}
if (random().nextBoolean()) {
iw.deleteDocuments(PointRangeQuery.newLongRange("idx", 0L, true, 10L, true));
iw.deleteDocuments(LongPoint.newRangeQuery("idx", 0L, true, 10L, true));
}
iw.commit();
final IndexReader reader = iw.getReader();
@ -199,7 +198,7 @@ public class TestDocValuesRangeQuery extends LuceneTestCase {
final boolean maxInclusive = random().nextBoolean();
BooleanQuery.Builder ref = new BooleanQuery.Builder();
ref.add(PointRangeQuery.newLongRange("idx", min, minInclusive, max, maxInclusive), Occur.FILTER);
ref.add(LongPoint.newRangeQuery("idx", min, minInclusive, max, maxInclusive), Occur.FILTER);
ref.add(new TermQuery(new Term("f", "a")), Occur.MUST);
BooleanQuery.Builder bq1 = new BooleanQuery.Builder();

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@ -43,7 +43,6 @@ import org.apache.lucene.index.IndexWriterConfig;
import org.apache.lucene.index.LeafReaderContext;
import org.apache.lucene.index.RandomIndexWriter;
import org.apache.lucene.index.Term;
import org.apache.lucene.search.PointRangeQuery;
import org.apache.lucene.search.ScoreDoc;
import org.apache.lucene.search.TopDocs;
import org.apache.lucene.search.suggest.BitsProducer;
@ -302,7 +301,7 @@ public class TestSuggestField extends LuceneTestCase {
}
}
iw.deleteDocuments(PointRangeQuery.newIntRange("weight_fld", 2, true, null, false));
iw.deleteDocuments(IntPoint.newRangeQuery("weight_fld", 2, true, null, false));
DirectoryReader reader = DirectoryReader.open(iw);
SuggestIndexSearcher indexSearcher = new SuggestIndexSearcher(reader);

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@ -34,7 +34,6 @@ import org.apache.lucene.document.StringField;
import org.apache.lucene.index.PointValues.IntersectVisitor;
import org.apache.lucene.index.PointValues.Relation;
import org.apache.lucene.search.IndexSearcher;
import org.apache.lucene.search.PointRangeQuery;
import org.apache.lucene.store.Directory;
import org.apache.lucene.store.MockDirectoryWrapper;
import org.apache.lucene.util.Bits;
@ -847,8 +846,8 @@ public abstract class BasePointFormatTestCase extends BaseIndexFileFormatTestCas
DirectoryReader r = w.getReader();
IndexSearcher s = newSearcher(r);
assertEquals(2, s.count(PointRangeQuery.newIntExact("int1", 17)));
assertEquals(2, s.count(PointRangeQuery.newIntExact("int2", 42)));
assertEquals(2, s.count(IntPoint.newExactQuery("int1", 17)));
assertEquals(2, s.count(IntPoint.newExactQuery("int2", 42)));
r.close();
w.close();
dir.close();