Examples with DoublePoint org.apache.lucene.document.DoublePoint used on opensource projects

Example 16 with DoublePoint

use of org.apache.lucene.document.DoublePoint in project lucene-solr by apache.

the class TestFieldCacheSort method testDoubleSignedZero.

/** Tests sorting on type double with +/- zero */
public void testDoubleSignedZero() throws IOException {
    Directory dir = newDirectory();
    RandomIndexWriter writer = new RandomIndexWriter(random(), dir);
    Document doc = new Document();
    doc.add(new DoublePoint("value", +0d));
    doc.add(new StoredField("value", +0d));
    writer.addDocument(doc);
    doc = new Document();
    doc.add(new DoublePoint("value", -0d));
    doc.add(new StoredField("value", -0d));
    writer.addDocument(doc);
    doc = new Document();
    IndexReader ir = UninvertingReader.wrap(writer.getReader(), Collections.singletonMap("value", Type.DOUBLE_POINT));
    writer.close();
    IndexSearcher searcher = newSearcher(ir, false);
    Sort sort = new Sort(new SortField("value", SortField.Type.DOUBLE));
    TopDocs td = searcher.search(new MatchAllDocsQuery(), 10, sort);
    assertEquals(2, td.totalHits);
    // numeric order
    double v0 = searcher.doc(td.scoreDocs[0].doc).getField("value").numericValue().doubleValue();
    double v1 = searcher.doc(td.scoreDocs[1].doc).getField("value").numericValue().doubleValue();
    assertEquals(0, v0, 0d);
    assertEquals(0, v1, 0d);
    // check sign bits
    assertEquals(1, Double.doubleToLongBits(v0) >>> 63);
    assertEquals(0, Double.doubleToLongBits(v1) >>> 63);
    TestUtil.checkReader(ir);
    ir.close();
    dir.close();
}

Example 17 with DoublePoint

use of org.apache.lucene.document.DoublePoint in project lucene-solr by apache.

the class TestFieldCacheSort method testDoubleReverse.

/** Tests sorting on type double in reverse */
public void testDoubleReverse() throws IOException {
    Directory dir = newDirectory();
    RandomIndexWriter writer = new RandomIndexWriter(random(), dir);
    Document doc = new Document();
    doc.add(new DoublePoint("value", 30.1));
    doc.add(new StoredField("value", 30.1));
    writer.addDocument(doc);
    doc = new Document();
    doc.add(new DoublePoint("value", -1.3));
    doc.add(new StoredField("value", -1.3));
    writer.addDocument(doc);
    doc = new Document();
    doc.add(new DoublePoint("value", 4.2333333333333));
    doc.add(new StoredField("value", 4.2333333333333));
    writer.addDocument(doc);
    doc = new Document();
    doc.add(new DoublePoint("value", 4.2333333333332));
    doc.add(new StoredField("value", 4.2333333333332));
    writer.addDocument(doc);
    IndexReader ir = UninvertingReader.wrap(writer.getReader(), Collections.singletonMap("value", Type.DOUBLE_POINT));
    writer.close();
    IndexSearcher searcher = newSearcher(ir, false);
    Sort sort = new Sort(new SortField("value", SortField.Type.DOUBLE, true));
    TopDocs td = searcher.search(new MatchAllDocsQuery(), 10, sort);
    assertEquals(4, td.totalHits);
    // numeric order
    assertEquals("30.1", searcher.doc(td.scoreDocs[0].doc).get("value"));
    assertEquals("4.2333333333333", searcher.doc(td.scoreDocs[1].doc).get("value"));
    assertEquals("4.2333333333332", searcher.doc(td.scoreDocs[2].doc).get("value"));
    assertEquals("-1.3", searcher.doc(td.scoreDocs[3].doc).get("value"));
    TestUtil.checkReader(ir);
    ir.close();
    dir.close();
}

Example 18 with DoublePoint

use of org.apache.lucene.document.DoublePoint in project lucene-solr by apache.

the class TestFieldCacheSort method testDoubleMissing.

/** Tests sorting on type double with a missing value */
public void testDoubleMissing() throws IOException {
    Directory dir = newDirectory();
    RandomIndexWriter writer = new RandomIndexWriter(random(), dir);
    Document doc = new Document();
    writer.addDocument(doc);
    doc = new Document();
    doc.add(new DoublePoint("value", -1.3));
    doc.add(new StoredField("value", -1.3));
    writer.addDocument(doc);
    doc = new Document();
    doc.add(new DoublePoint("value", 4.2333333333333));
    doc.add(new StoredField("value", 4.2333333333333));
    writer.addDocument(doc);
    doc = new Document();
    doc.add(new DoublePoint("value", 4.2333333333332));
    doc.add(new StoredField("value", 4.2333333333332));
    writer.addDocument(doc);
    IndexReader ir = UninvertingReader.wrap(writer.getReader(), Collections.singletonMap("value", Type.DOUBLE_POINT));
    writer.close();
    IndexSearcher searcher = newSearcher(ir, false);
    Sort sort = new Sort(new SortField("value", SortField.Type.DOUBLE));
    TopDocs td = searcher.search(new MatchAllDocsQuery(), 10, sort);
    assertEquals(4, td.totalHits);
    // null treated as a 0
    assertEquals("-1.3", searcher.doc(td.scoreDocs[0].doc).get("value"));
    assertNull(searcher.doc(td.scoreDocs[1].doc).get("value"));
    assertEquals("4.2333333333332", searcher.doc(td.scoreDocs[2].doc).get("value"));
    assertEquals("4.2333333333333", searcher.doc(td.scoreDocs[3].doc).get("value"));
    TestUtil.checkReader(ir);
    ir.close();
    dir.close();
}

Example 19 with DoublePoint

use of org.apache.lucene.document.DoublePoint in project lucene-solr by apache.

the class TestFieldCacheSort method testDoubleMissingLast.

/** Tests sorting on type double, specifying the missing value should be treated as Double.MAX_VALUE */
public void testDoubleMissingLast() throws IOException {
    Directory dir = newDirectory();
    RandomIndexWriter writer = new RandomIndexWriter(random(), dir);
    Document doc = new Document();
    writer.addDocument(doc);
    doc = new Document();
    doc.add(new DoublePoint("value", -1.3));
    doc.add(new StoredField("value", -1.3));
    writer.addDocument(doc);
    doc = new Document();
    doc.add(new DoublePoint("value", 4.2333333333333));
    doc.add(new StoredField("value", 4.2333333333333));
    writer.addDocument(doc);
    doc = new Document();
    doc.add(new DoublePoint("value", 4.2333333333332));
    doc.add(new StoredField("value", 4.2333333333332));
    writer.addDocument(doc);
    IndexReader ir = UninvertingReader.wrap(writer.getReader(), Collections.singletonMap("value", Type.DOUBLE_POINT));
    writer.close();
    IndexSearcher searcher = newSearcher(ir, false);
    SortField sortField = new SortField("value", SortField.Type.DOUBLE);
    sortField.setMissingValue(Double.MAX_VALUE);
    Sort sort = new Sort(sortField);
    TopDocs td = searcher.search(new MatchAllDocsQuery(), 10, sort);
    assertEquals(4, td.totalHits);
    // null treated as Double.MAX_VALUE
    assertEquals("-1.3", searcher.doc(td.scoreDocs[0].doc).get("value"));
    assertEquals("4.2333333333332", searcher.doc(td.scoreDocs[1].doc).get("value"));
    assertEquals("4.2333333333333", searcher.doc(td.scoreDocs[2].doc).get("value"));
    assertNull(searcher.doc(td.scoreDocs[3].doc).get("value"));
    TestUtil.checkReader(ir);
    ir.close();
    dir.close();
}

Example 20 with DoublePoint

use of org.apache.lucene.document.DoublePoint in project lucene-solr by apache.

the class JoinUtil method createJoinQuery.

/**
   * Method for query time joining for numeric fields. It supports multi- and single- values longs, ints, floats and longs.
   * All considerations from {@link JoinUtil#createJoinQuery(String, boolean, String, Query, IndexSearcher, ScoreMode)} are applicable here too,
   * though memory consumption might be higher.
   * <p>
   *
   * @param fromField                 The from field to join from
   * @param multipleValuesPerDocument Whether the from field has multiple terms per document
   *                                  when true fromField might be {@link DocValuesType#SORTED_NUMERIC},
   *                                  otherwise fromField should be {@link DocValuesType#NUMERIC}
   * @param toField                   The to field to join to, should be {@link IntPoint}, {@link LongPoint}, {@link FloatPoint}
   *                                  or {@link DoublePoint}.
   * @param numericType               either {@link java.lang.Integer}, {@link java.lang.Long}, {@link java.lang.Float}
   *                                  or {@link java.lang.Double} it should correspond to toField types
   * @param fromQuery                 The query to match documents on the from side
   * @param fromSearcher              The searcher that executed the specified fromQuery
   * @param scoreMode                 Instructs how scores from the fromQuery are mapped to the returned query
   * @return a {@link Query} instance that can be used to join documents based on the
   *         terms in the from and to field
   * @throws IOException If I/O related errors occur
   */
public static Query createJoinQuery(String fromField, boolean multipleValuesPerDocument, String toField, Class<? extends Number> numericType, Query fromQuery, IndexSearcher fromSearcher, ScoreMode scoreMode) throws IOException {
    TreeSet<Long> joinValues = new TreeSet<>();
    Map<Long, Float> aggregatedScores = new HashMap<>();
    Map<Long, Integer> occurrences = new HashMap<>();
    boolean needsScore = scoreMode != ScoreMode.None;
    BiConsumer<Long, Float> scoreAggregator;
    if (scoreMode == ScoreMode.Max) {
        scoreAggregator = (key, score) -> {
            Float currentValue = aggregatedScores.putIfAbsent(key, score);
            if (currentValue != null) {
                aggregatedScores.put(key, Math.max(currentValue, score));
            }
        };
    } else if (scoreMode == ScoreMode.Min) {
        scoreAggregator = (key, score) -> {
            Float currentValue = aggregatedScores.putIfAbsent(key, score);
            if (currentValue != null) {
                aggregatedScores.put(key, Math.min(currentValue, score));
            }
        };
    } else if (scoreMode == ScoreMode.Total) {
        scoreAggregator = (key, score) -> {
            Float currentValue = aggregatedScores.putIfAbsent(key, score);
            if (currentValue != null) {
                aggregatedScores.put(key, currentValue + score);
            }
        };
    } else if (scoreMode == ScoreMode.Avg) {
        scoreAggregator = (key, score) -> {
            Float currentSore = aggregatedScores.putIfAbsent(key, score);
            if (currentSore != null) {
                aggregatedScores.put(key, currentSore + score);
            }
            Integer currentOccurrence = occurrences.putIfAbsent(key, 1);
            if (currentOccurrence != null) {
                occurrences.put(key, ++currentOccurrence);
            }
        };
    } else {
        scoreAggregator = (key, score) -> {
            throw new UnsupportedOperationException();
        };
    }
    LongFunction<Float> joinScorer;
    if (scoreMode == ScoreMode.Avg) {
        joinScorer = (joinValue) -> {
            Float aggregatedScore = aggregatedScores.get(joinValue);
            Integer occurrence = occurrences.get(joinValue);
            return aggregatedScore / occurrence;
        };
    } else {
        joinScorer = aggregatedScores::get;
    }
    Collector collector;
    if (multipleValuesPerDocument) {
        collector = new SimpleCollector() {

            SortedNumericDocValues sortedNumericDocValues;

            Scorer scorer;

            @Override
            public void collect(int doc) throws IOException {
                if (doc > sortedNumericDocValues.docID()) {
                    sortedNumericDocValues.advance(doc);
                }
                if (doc == sortedNumericDocValues.docID()) {
                    for (int i = 0; i < sortedNumericDocValues.docValueCount(); i++) {
                        long value = sortedNumericDocValues.nextValue();
                        joinValues.add(value);
                        if (needsScore) {
                            scoreAggregator.accept(value, scorer.score());
                        }
                    }
                }
            }

            @Override
            protected void doSetNextReader(LeafReaderContext context) throws IOException {
                sortedNumericDocValues = DocValues.getSortedNumeric(context.reader(), fromField);
            }

            @Override
            public void setScorer(Scorer scorer) throws IOException {
                this.scorer = scorer;
            }

            @Override
            public boolean needsScores() {
                return needsScore;
            }
        };
    } else {
        collector = new SimpleCollector() {

            NumericDocValues numericDocValues;

            Scorer scorer;

            private int lastDocID = -1;

            private boolean docsInOrder(int docID) {
                if (docID < lastDocID) {
                    throw new AssertionError("docs out of order: lastDocID=" + lastDocID + " vs docID=" + docID);
                }
                lastDocID = docID;
                return true;
            }

            @Override
            public void collect(int doc) throws IOException {
                assert docsInOrder(doc);
                int dvDocID = numericDocValues.docID();
                if (dvDocID < doc) {
                    dvDocID = numericDocValues.advance(doc);
                }
                long value;
                if (dvDocID == doc) {
                    value = numericDocValues.longValue();
                } else {
                    value = 0;
                }
                joinValues.add(value);
                if (needsScore) {
                    scoreAggregator.accept(value, scorer.score());
                }
            }

            @Override
            protected void doSetNextReader(LeafReaderContext context) throws IOException {
                numericDocValues = DocValues.getNumeric(context.reader(), fromField);
                lastDocID = -1;
            }

            @Override
            public void setScorer(Scorer scorer) throws IOException {
                this.scorer = scorer;
            }

            @Override
            public boolean needsScores() {
                return needsScore;
            }
        };
    }
    fromSearcher.search(fromQuery, collector);
    Iterator<Long> iterator = joinValues.iterator();
    final int bytesPerDim;
    final BytesRef encoded = new BytesRef();
    final PointInSetIncludingScoreQuery.Stream stream;
    if (Integer.class.equals(numericType)) {
        bytesPerDim = Integer.BYTES;
        stream = new PointInSetIncludingScoreQuery.Stream() {

            @Override
            public BytesRef next() {
                if (iterator.hasNext()) {
                    long value = iterator.next();
                    IntPoint.encodeDimension((int) value, encoded.bytes, 0);
                    if (needsScore) {
                        score = joinScorer.apply(value);
                    }
                    return encoded;
                } else {
                    return null;
                }
            }
        };
    } else if (Long.class.equals(numericType)) {
        bytesPerDim = Long.BYTES;
        stream = new PointInSetIncludingScoreQuery.Stream() {

            @Override
            public BytesRef next() {
                if (iterator.hasNext()) {
                    long value = iterator.next();
                    LongPoint.encodeDimension(value, encoded.bytes, 0);
                    if (needsScore) {
                        score = joinScorer.apply(value);
                    }
                    return encoded;
                } else {
                    return null;
                }
            }
        };
    } else if (Float.class.equals(numericType)) {
        bytesPerDim = Float.BYTES;
        stream = new PointInSetIncludingScoreQuery.Stream() {

            @Override
            public BytesRef next() {
                if (iterator.hasNext()) {
                    long value = iterator.next();
                    FloatPoint.encodeDimension(Float.intBitsToFloat((int) value), encoded.bytes, 0);
                    if (needsScore) {
                        score = joinScorer.apply(value);
                    }
                    return encoded;
                } else {
                    return null;
                }
            }
        };
    } else if (Double.class.equals(numericType)) {
        bytesPerDim = Double.BYTES;
        stream = new PointInSetIncludingScoreQuery.Stream() {

            @Override
            public BytesRef next() {
                if (iterator.hasNext()) {
                    long value = iterator.next();
                    DoublePoint.encodeDimension(Double.longBitsToDouble(value), encoded.bytes, 0);
                    if (needsScore) {
                        score = joinScorer.apply(value);
                    }
                    return encoded;
                } else {
                    return null;
                }
            }
        };
    } else {
        throw new IllegalArgumentException("unsupported numeric type, only Integer, Long, Float and Double are supported");
    }
    encoded.bytes = new byte[bytesPerDim];
    encoded.length = bytesPerDim;
    if (needsScore) {
        return new PointInSetIncludingScoreQuery(scoreMode, fromQuery, multipleValuesPerDocument, toField, bytesPerDim, stream) {

            @Override
            protected String toString(byte[] value) {
                return toString.apply(value, numericType);
            }
        };
    } else {
        return new PointInSetQuery(toField, 1, bytesPerDim, stream) {

            @Override
            protected String toString(byte[] value) {
                return PointInSetIncludingScoreQuery.toString.apply(value, numericType);
            }
        };
    }
}