Examples with DocValuesType org.apache.lucene.index.DocValuesType used on opensource projects

Example 6 with DocValuesType

use of org.apache.lucene.index.DocValuesType in project lucene-solr by apache.

the class FieldValueQuery method createWeight.

@Override
public Weight createWeight(IndexSearcher searcher, boolean needsScores, float boost) throws IOException {
    return new ConstantScoreWeight(this, boost) {

        @Override
        public Scorer scorer(LeafReaderContext context) throws IOException {
            FieldInfos fieldInfos = context.reader().getFieldInfos();
            FieldInfo fieldInfo = fieldInfos.fieldInfo(field);
            if (fieldInfo == null) {
                return null;
            }
            DocValuesType dvType = fieldInfo.getDocValuesType();
            LeafReader reader = context.reader();
            DocIdSetIterator iterator;
            switch(dvType) {
                case NONE:
                    return null;
                case NUMERIC:
                    iterator = reader.getNumericDocValues(field);
                    break;
                case BINARY:
                    iterator = reader.getBinaryDocValues(field);
                    break;
                case SORTED:
                    iterator = reader.getSortedDocValues(field);
                    break;
                case SORTED_NUMERIC:
                    iterator = reader.getSortedNumericDocValues(field);
                    break;
                case SORTED_SET:
                    iterator = reader.getSortedSetDocValues(field);
                    break;
                default:
                    throw new AssertionError();
            }
            return new ConstantScoreScorer(this, score(), iterator);
        }
    };
}

Example 7 with DocValuesType

use of org.apache.lucene.index.DocValuesType 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);
            }
        };
    }
}

Example 8 with DocValuesType

use of org.apache.lucene.index.DocValuesType in project lucene-solr by apache.

the class Lucene60FieldInfosFormat method read.

@Override
public FieldInfos read(Directory directory, SegmentInfo segmentInfo, String segmentSuffix, IOContext context) throws IOException {
    final String fileName = IndexFileNames.segmentFileName(segmentInfo.name, segmentSuffix, EXTENSION);
    try (ChecksumIndexInput input = directory.openChecksumInput(fileName, context)) {
        Throwable priorE = null;
        FieldInfo[] infos = null;
        try {
            CodecUtil.checkIndexHeader(input, Lucene60FieldInfosFormat.CODEC_NAME, Lucene60FieldInfosFormat.FORMAT_START, Lucene60FieldInfosFormat.FORMAT_CURRENT, segmentInfo.getId(), segmentSuffix);
            //read in the size
            final int size = input.readVInt();
            infos = new FieldInfo[size];
            // previous field's attribute map, we share when possible:
            Map<String, String> lastAttributes = Collections.emptyMap();
            for (int i = 0; i < size; i++) {
                String name = input.readString();
                final int fieldNumber = input.readVInt();
                if (fieldNumber < 0) {
                    throw new CorruptIndexException("invalid field number for field: " + name + ", fieldNumber=" + fieldNumber, input);
                }
                byte bits = input.readByte();
                boolean storeTermVector = (bits & STORE_TERMVECTOR) != 0;
                boolean omitNorms = (bits & OMIT_NORMS) != 0;
                boolean storePayloads = (bits & STORE_PAYLOADS) != 0;
                final IndexOptions indexOptions = getIndexOptions(input, input.readByte());
                // DV Types are packed in one byte
                final DocValuesType docValuesType = getDocValuesType(input, input.readByte());
                final long dvGen = input.readLong();
                Map<String, String> attributes = input.readMapOfStrings();
                // just use the last field's map if its the same
                if (attributes.equals(lastAttributes)) {
                    attributes = lastAttributes;
                }
                lastAttributes = attributes;
                int pointDimensionCount = input.readVInt();
                int pointNumBytes;
                if (pointDimensionCount != 0) {
                    pointNumBytes = input.readVInt();
                } else {
                    pointNumBytes = 0;
                }
                try {
                    infos[i] = new FieldInfo(name, fieldNumber, storeTermVector, omitNorms, storePayloads, indexOptions, docValuesType, dvGen, attributes, pointDimensionCount, pointNumBytes);
                    infos[i].checkConsistency();
                } catch (IllegalStateException e) {
                    throw new CorruptIndexException("invalid fieldinfo for field: " + name + ", fieldNumber=" + fieldNumber, input, e);
                }
            }
        } catch (Throwable exception) {
            priorE = exception;
        } finally {
            CodecUtil.checkFooter(input, priorE);
        }
        return new FieldInfos(infos);
    }
}

Example 9 with DocValuesType

use of org.apache.lucene.index.DocValuesType in project lucene-solr by apache.

the class TestUtil method cloneDocument.

// NOTE: this is likely buggy, and cannot clone fields
// with tokenStreamValues, etc.  Use at your own risk!!
// TODO: is there a pre-existing way to do this!!!
public static Document cloneDocument(Document doc1) {
    final Document doc2 = new Document();
    for (IndexableField f : doc1.getFields()) {
        final Field field1 = (Field) f;
        final Field field2;
        final DocValuesType dvType = field1.fieldType().docValuesType();
        final int dimCount = field1.fieldType().pointDimensionCount();
        if (dvType != DocValuesType.NONE) {
            switch(dvType) {
                case NUMERIC:
                    field2 = new NumericDocValuesField(field1.name(), field1.numericValue().longValue());
                    break;
                case BINARY:
                    field2 = new BinaryDocValuesField(field1.name(), field1.binaryValue());
                    break;
                case SORTED:
                    field2 = new SortedDocValuesField(field1.name(), field1.binaryValue());
                    break;
                default:
                    throw new IllegalStateException("unknown Type: " + dvType);
            }
        } else if (dimCount != 0) {
            BytesRef br = field1.binaryValue();
            byte[] bytes = new byte[br.length];
            System.arraycopy(br.bytes, br.offset, bytes, 0, br.length);
            field2 = new BinaryPoint(field1.name(), bytes, field1.fieldType());
        } else {
            field2 = new Field(field1.name(), field1.stringValue(), field1.fieldType());
        }
        doc2.add(field2);
    }
    return doc2;
}