mirror of https://github.com/apache/lucene.git
LUCENE-7076: Improve MIGRATE.txt/Point javadocs
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@ -74,10 +74,12 @@ would be equivalent to the following code with the old setBoost API:
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float boost = ...;
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q.setBoost(q.getBoost() * boost);
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## DimensionalValues replaces NumericField (LUCENE-6917)
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# PointValues replaces NumericField (LUCENE-6917)
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DimensionalValues provides faster indexing and searching, a smaller
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index size, and less heap used at search time. The numeric fields
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(IntField, FloatField, LongField, DoubleField) and NumericRangeQuery
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have been moved to the backward-codecs module and prefixed with
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Legacy.
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PointValues provides faster indexing and searching, a smaller
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index size, and less heap used at search time. See org.apache.lucene.index.PointValues
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for an introduction.
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Legacy numeric encodings from previous versions of Lucene are
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deprecated as LegacyIntField, LegacyFloatField, LegacyLongField, and LegacyDoubleField,
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and can be searched with LegacyNumericRangeQuery.
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@ -19,6 +19,7 @@ package org.apache.lucene.document;
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import java.util.Arrays;
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import java.util.Comparator;
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import org.apache.lucene.index.PointValues;
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import org.apache.lucene.search.MatchNoDocsQuery;
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import org.apache.lucene.search.PointInSetQuery;
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import org.apache.lucene.search.PointRangeQuery;
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@ -40,6 +41,7 @@ import org.apache.lucene.util.StringHelper;
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* <li>{@link #newRangeQuery(String, byte[], byte[])} for matching a 1D range.
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* <li>{@link #newRangeQuery(String, byte[][], byte[][])} for matching points/ranges in n-dimensional space.
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* </ul>
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* @see PointValues
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*/
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public final class BinaryPoint extends Field {
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@ -18,6 +18,7 @@ package org.apache.lucene.document;
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import java.util.Arrays;
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import org.apache.lucene.index.PointValues;
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import org.apache.lucene.search.PointInSetQuery;
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import org.apache.lucene.search.PointRangeQuery;
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import org.apache.lucene.search.Query;
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@ -38,6 +39,7 @@ import org.apache.lucene.util.NumericUtils;
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* <li>{@link #newRangeQuery(String, double, double)} for matching a 1D range.
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* <li>{@link #newRangeQuery(String, double[], double[])} for matching points/ranges in n-dimensional space.
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* </ul>
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* @see PointValues
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*/
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public final class DoublePoint extends Field {
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@ -18,6 +18,7 @@ package org.apache.lucene.document;
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import java.util.Arrays;
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import org.apache.lucene.index.PointValues;
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import org.apache.lucene.search.PointInSetQuery;
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import org.apache.lucene.search.PointRangeQuery;
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import org.apache.lucene.search.Query;
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@ -38,6 +39,7 @@ import org.apache.lucene.util.NumericUtils;
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* <li>{@link #newRangeQuery(String, float, float)} for matching a 1D range.
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* <li>{@link #newRangeQuery(String, float[], float[])} for matching points/ranges in n-dimensional space.
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* </ul>
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* @see PointValues
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*/
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public final class FloatPoint extends Field {
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@ -18,6 +18,7 @@ package org.apache.lucene.document;
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import java.util.Arrays;
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import org.apache.lucene.index.PointValues;
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import org.apache.lucene.search.PointInSetQuery;
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import org.apache.lucene.search.PointRangeQuery;
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import org.apache.lucene.search.Query;
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@ -38,6 +39,7 @@ import org.apache.lucene.util.NumericUtils;
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* <li>{@link #newRangeQuery(String, int, int)} for matching a 1D range.
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* <li>{@link #newRangeQuery(String, int[], int[])} for matching points/ranges in n-dimensional space.
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* </ul>
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* @see PointValues
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*/
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public final class IntPoint extends Field {
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@ -18,6 +18,7 @@ package org.apache.lucene.document;
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import java.util.Arrays;
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import org.apache.lucene.index.PointValues;
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import org.apache.lucene.search.PointInSetQuery;
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import org.apache.lucene.search.PointRangeQuery;
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import org.apache.lucene.search.Query;
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@ -38,6 +39,7 @@ import org.apache.lucene.util.NumericUtils;
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* <li>{@link #newRangeQuery(String, long, long)} for matching a 1D range.
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* <li>{@link #newRangeQuery(String, long[], long[])} for matching points/ranges in n-dimensional space.
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* </ul>
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* @see PointValues
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*/
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public final class LongPoint extends Field {
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@ -17,17 +17,65 @@
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package org.apache.lucene.index;
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import java.io.IOException;
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import java.math.BigInteger;
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import java.net.InetAddress;
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import org.apache.lucene.document.BinaryPoint;
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import org.apache.lucene.document.DoublePoint;
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import org.apache.lucene.document.Field;
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import org.apache.lucene.document.FieldType;
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import org.apache.lucene.document.FloatPoint;
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import org.apache.lucene.document.IntPoint;
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import org.apache.lucene.document.LongPoint;
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import org.apache.lucene.util.bkd.BKDWriter;
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/** Allows recursively visiting point values indexed with {@link IntPoint},
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* {@link FloatPoint}, {@link LongPoint}, {@link DoublePoint}
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* or {@link BinaryPoint}.
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/**
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* Access to indexed numeric values.
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* <p>
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* Points represent numeric values and are indexed differently than ordinary text. Instead of an inverted index,
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* points are indexed with datastructures such as <a href="https://en.wikipedia.org/wiki/K-d_tree">KD-trees</a>.
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* These structures are optimized for operations such as <i>range</i>, <i>distance</i>, <i>nearest-neighbor</i>,
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* and <i>point-in-polygon</i> queries.
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* <h1>Basic Point Types</h1>
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* <table summary="Basic point types in Java and Lucene">
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* <tr><th>Java type</th><th>Lucene class</th></tr>
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* <tr><td>{@code int}</td><td>{@link IntPoint}</td></tr>
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* <tr><td>{@code long}</td><td>{@link LongPoint}</td></tr>
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* <tr><td>{@code float}</td><td>{@link FloatPoint}</td></tr>
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* <tr><td>{@code double}</td><td>{@link DoublePoint}</td></tr>
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* <tr><td>{@code byte[]}</td><td>{@link BinaryPoint}</td></tr>
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* <tr><td>{@link BigInteger}</td><td><a href="{@docRoot}/../sandbox/org/apache/lucene/document/BigIntegerPoint.html">BigIntegerPoint</a>*</td></tr>
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* <tr><td>{@link InetAddress}</td><td><a href="{@docRoot}/../sandbox/org/apache/lucene/document/InetAddressPoint.html">InetAddressPoint</a>*</td></tr>
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* </table>
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* * in the <i>lucene-sandbox</i> jar<br>
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* <p>
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* Basic Lucene point types behave like their java peers: for example {@link IntPoint} represents a signed 32-bit
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* {@link Integer}, supporting values ranging from {@link Integer#MIN_VALUE} to {@link Integer#MAX_VALUE}, ordered
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* consistent with {@link Integer#compareTo(Integer)}. In addition to indexing support, point classes also contain
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* static methods (such as {@link IntPoint#newRangeQuery(String, int, int)}) for creating common queries. For example:
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* <pre class="prettyprint">
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* // add year 1970 to document
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* document.add(new IntPoint("year", 1970));
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* // index document
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* writer.addDocument(document);
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* ...
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* // issue range query of 1960-1980
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* Query query = IntPoint.newRangeQuery("year", 1960, 1980);
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* TopDocs docs = searcher.search(query, ...);
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* </pre>
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* <h1>Geospatial Point Types</h1>
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* Although basic point types such as {@link DoublePoint} support points in multi-dimensional space too, Lucene has
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* specialized classes for location data. These classes are optimized for location data: they are more space-efficient and
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* support special operations such as <i>distance</i> and <i>polygon</i> queries. There are currently two implementations:
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* <br>
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* <ol>
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* <li><a href="{@docRoot}/../sandbox/org/apache/lucene/document/LatLonPoint.html">LatLonPoint</a> in <i>lucene-sandbox</i>: indexes {@code (latitude,longitude)} as {@code (x,y)} in two-dimensional space.
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* <li><a href="{@docRoot}/../spatial3d/org/apache/lucene/spatial3d/Geo3DPoint.html">Geo3DPoint</a>* in <i>lucene-spatial3d</i>: indexes {@code (latitude,longitude)} as {@code (x,y,z)} in three-dimensional space.
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* </ol>
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* * does <b>not</b> support altitude, 3D here means "uses three dimensions under-the-hood"<br>
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* <h1>Advanced usage</h1>
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* Custom structures can be created on top of single- or multi- dimensional basic types, on top of
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* {@link BinaryPoint} for more flexibility, or via custom {@link Field} subclasses.
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*
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* @lucene.experimental */
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public abstract class PointValues {
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@ -16,15 +16,10 @@
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*/
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package org.apache.lucene.search;
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import java.io.IOException;
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import java.util.Arrays;
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import org.apache.lucene.document.BinaryPoint;
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import org.apache.lucene.document.DoublePoint;
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import org.apache.lucene.document.FloatPoint;
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import org.apache.lucene.document.IntPoint;
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import org.apache.lucene.document.LongPoint;
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import org.apache.lucene.index.FieldInfo;
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import org.apache.lucene.index.LeafReader;
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import org.apache.lucene.index.LeafReaderContext;
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* create range queries for lucene's standard {@code Point} types, refer to factory
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* methods on those classes, e.g. {@link IntPoint#newSetQuery IntPoint.newSetQuery()} for
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* fields indexed with {@link IntPoint}.
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* @see IntPoint
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* @see LongPoint
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* @see FloatPoint
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* @see DoublePoint
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* @see BinaryPoint
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*
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* @see PointValues
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* @lucene.experimental */
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public abstract class PointInSetQuery extends Query {
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@ -23,11 +23,7 @@ import java.util.Objects;
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import org.apache.lucene.index.PointValues;
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import org.apache.lucene.index.PointValues.IntersectVisitor;
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import org.apache.lucene.index.PointValues.Relation;
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import org.apache.lucene.document.BinaryPoint; // javadocs
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import org.apache.lucene.document.DoublePoint; // javadocs
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import org.apache.lucene.document.FloatPoint; // javadocs
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import org.apache.lucene.document.IntPoint; // javadocs
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import org.apache.lucene.document.LongPoint; // javadocs
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import org.apache.lucene.index.FieldInfo;
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import org.apache.lucene.index.LeafReader;
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import org.apache.lucene.index.LeafReaderContext;
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* fields indexed with {@link IntPoint}.
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* <p>
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* For a single-dimensional field this query is a simple range query; in a multi-dimensional field it's a box shape.
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* @see IntPoint
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* @see LongPoint
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* @see FloatPoint
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* @see DoublePoint
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* @see BinaryPoint
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*
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* @see PointValues
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* @lucene.experimental
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*/
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public abstract class PointRangeQuery extends Query {
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@ -19,6 +19,7 @@ package org.apache.lucene.document;
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import java.math.BigInteger;
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import java.util.Arrays;
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import org.apache.lucene.index.PointValues;
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import org.apache.lucene.search.PointInSetQuery;
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import org.apache.lucene.search.PointRangeQuery;
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import org.apache.lucene.search.Query;
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* <li>{@link #newRangeQuery(String, BigInteger, BigInteger)} for matching a 1D range.
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* <li>{@link #newRangeQuery(String, BigInteger[], BigInteger[])} for matching points/ranges in n-dimensional space.
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* </ul>
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* @see PointValues
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*/
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public class BigIntegerPoint extends Field {
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@ -20,6 +20,7 @@ import java.net.InetAddress;
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import java.net.UnknownHostException;
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import java.util.Arrays;
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import org.apache.lucene.index.PointValues;
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import org.apache.lucene.search.PointInSetQuery;
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import org.apache.lucene.search.PointRangeQuery;
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import org.apache.lucene.search.Query;
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* This field supports both IPv4 and IPv6 addresses: IPv4 addresses are converted
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* to <a href="https://tools.ietf.org/html/rfc4291#section-2.5.5">IPv4-Mapped IPv6 Addresses</a>:
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* indexing {@code 1.2.3.4} is the same as indexing {@code ::FFFF:1.2.3.4}.
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* @see PointValues
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*/
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public class InetAddressPoint extends Field {
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@ -20,6 +20,7 @@ import org.apache.lucene.util.BytesRef;
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import org.apache.lucene.util.NumericUtils;
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import org.apache.lucene.index.FieldInfo;
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import org.apache.lucene.index.PointValues;
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import org.apache.lucene.search.BooleanClause;
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import org.apache.lucene.search.BooleanQuery;
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import org.apache.lucene.search.ConstantScoreQuery;
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* <p>
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* <b>WARNING</b>: Values are indexed with some loss of precision, incurring up to 1E-7 error from the
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* original {@code double} values.
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* @see PointValues
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*/
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// TODO ^^^ that is very sandy and hurts the API, usage, and tests tremendously, because what the user passes
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// to the field is not actually what gets indexed. Float would be 1E-5 error vs 1E-7, but it might be
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@ -18,6 +18,7 @@ package org.apache.lucene.spatial3d;
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import org.apache.lucene.document.Field;
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import org.apache.lucene.document.FieldType;
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import org.apache.lucene.index.PointValues;
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import org.apache.lucene.spatial3d.geom.GeoPoint;
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import org.apache.lucene.spatial3d.geom.GeoShape;
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import org.apache.lucene.spatial3d.geom.PlanetModel;
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* <ul>
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* <li>{@link #newShapeQuery newShapeQuery()} for matching all points inside a specified shape
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* </ul>
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*
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* @see PointValues
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* @lucene.experimental */
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public final class Geo3DPoint extends Field {
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