/*
 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF licenses this file to You under the Apache License, Version 2.0
 * (the "License"); you may not use this file except in compliance with
 * the License.  You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
package org.apache.lucene.search.join;

import java.io.IOException;
import java.util.Arrays;

import org.apache.lucene.index.BinaryDocValues;
import org.apache.lucene.index.SortedSetDocValues;
import org.apache.lucene.search.Scorable;
import org.apache.lucene.util.ArrayUtil;
import org.apache.lucene.util.BytesRef;
import org.apache.lucene.util.BytesRefHash;

abstract class TermsWithScoreCollector<DV> extends DocValuesTermsCollector<DV> 
                                    implements GenericTermsCollector {

  private final static int INITIAL_ARRAY_SIZE = 0;

  final BytesRefHash collectedTerms = new BytesRefHash();
  final ScoreMode scoreMode;

  Scorable scorer;
  float[] scoreSums = new float[INITIAL_ARRAY_SIZE];

  TermsWithScoreCollector(Function<DV> docValuesCall, ScoreMode scoreMode) {
    super(docValuesCall);
    this.scoreMode = scoreMode;
    if (scoreMode == ScoreMode.Min) {
      Arrays.fill(scoreSums, Float.POSITIVE_INFINITY);
    } else if (scoreMode == ScoreMode.Max) {
      Arrays.fill(scoreSums, Float.NEGATIVE_INFINITY);
    }
  }

  @Override
  public BytesRefHash getCollectedTerms() {
    return collectedTerms;
  }
 
  @Override
  public float[] getScoresPerTerm() {
    return scoreSums;
  }

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

  
Chooses the right TermsWithScoreCollector implementation.
Params:
  • field – The field to collect terms for
  • multipleValuesPerDocument – Whether the field to collect terms for has multiple values per document.
Returns:a TermsWithScoreCollector instance
/** * Chooses the right {@link TermsWithScoreCollector} implementation. * * @param field The field to collect terms for * @param multipleValuesPerDocument Whether the field to collect terms for has multiple values per document. * @return a {@link TermsWithScoreCollector} instance */
static TermsWithScoreCollector<?> create(String field, boolean multipleValuesPerDocument, ScoreMode scoreMode) { if (multipleValuesPerDocument) { switch (scoreMode) { case Avg: return new MV.Avg(sortedSetDocValues(field)); default: return new MV(sortedSetDocValues(field), scoreMode); } } else { switch (scoreMode) { case Avg: return new SV.Avg(binaryDocValues(field)); default: return new SV(binaryDocValues(field), scoreMode); } } } // impl that works with single value per document static class SV extends TermsWithScoreCollector<BinaryDocValues> { SV(Function<BinaryDocValues> docValuesCall, ScoreMode scoreMode) { super(docValuesCall, scoreMode); } @Override public void collect(int doc) throws IOException { BytesRef value; if (docValues.advanceExact(doc)) { value = docValues.binaryValue(); } else { value = new BytesRef(BytesRef.EMPTY_BYTES); } int ord = collectedTerms.add(value); if (ord < 0) { ord = -ord - 1; } else { if (ord >= scoreSums.length) { int begin = scoreSums.length; scoreSums = ArrayUtil.grow(scoreSums); if (scoreMode == ScoreMode.Min) { Arrays.fill(scoreSums, begin, scoreSums.length, Float.POSITIVE_INFINITY); } else if (scoreMode == ScoreMode.Max) { Arrays.fill(scoreSums, begin, scoreSums.length, Float.NEGATIVE_INFINITY); } } } float current = scorer.score(); float existing = scoreSums[ord]; if (Float.compare(existing, 0.0f) == 0) { scoreSums[ord] = current; } else { switch (scoreMode) { case Total: scoreSums[ord] = scoreSums[ord] + current; break; case Min: if (current < existing) { scoreSums[ord] = current; } break; case Max: if (current > existing) { scoreSums[ord] = current; } break; default: throw new AssertionError("unexpected: " + scoreMode); } } } static class Avg extends SV { int[] scoreCounts = new int[INITIAL_ARRAY_SIZE]; Avg(Function<BinaryDocValues> docValuesCall) { super(docValuesCall, ScoreMode.Avg); } @Override public void collect(int doc) throws IOException { BytesRef value; if (docValues.advanceExact(doc)) { value = docValues.binaryValue(); } else { value = new BytesRef(BytesRef.EMPTY_BYTES); } int ord = collectedTerms.add(value); if (ord < 0) { ord = -ord - 1; } else { if (ord >= scoreSums.length) { scoreSums = ArrayUtil.grow(scoreSums); scoreCounts = ArrayUtil.grow(scoreCounts); } } float current = scorer.score(); float existing = scoreSums[ord]; if (Float.compare(existing, 0.0f) == 0) { scoreSums[ord] = current; scoreCounts[ord] = 1; } else { scoreSums[ord] = scoreSums[ord] + current; scoreCounts[ord]++; } } @Override public float[] getScoresPerTerm() { if (scoreCounts != null) { for (int i = 0; i < scoreCounts.length; i++) { scoreSums[i] = scoreSums[i] / scoreCounts[i]; } scoreCounts = null; } return scoreSums; } } } // impl that works with multiple values per document static class MV extends TermsWithScoreCollector<SortedSetDocValues> { MV(Function<SortedSetDocValues> docValuesCall, ScoreMode scoreMode) { super(docValuesCall, scoreMode); } @Override public void collect(int doc) throws IOException { if (docValues.advanceExact(doc)) { long ord; while ((ord = docValues.nextOrd()) != SortedSetDocValues.NO_MORE_ORDS) { int termID = collectedTerms.add(docValues.lookupOrd(ord)); if (termID < 0) { termID = -termID - 1; } else { if (termID >= scoreSums.length) { int begin = scoreSums.length; scoreSums = ArrayUtil.grow(scoreSums); if (scoreMode == ScoreMode.Min) { Arrays.fill(scoreSums, begin, scoreSums.length, Float.POSITIVE_INFINITY); } else if (scoreMode == ScoreMode.Max) { Arrays.fill(scoreSums, begin, scoreSums.length, Float.NEGATIVE_INFINITY); } } } switch (scoreMode) { case Total: scoreSums[termID] += scorer.score(); break; case Min: scoreSums[termID] = Math.min(scoreSums[termID], scorer.score()); break; case Max: scoreSums[termID] = Math.max(scoreSums[termID], scorer.score()); break; default: throw new AssertionError("unexpected: " + scoreMode); } } } } static class Avg extends MV { int[] scoreCounts = new int[INITIAL_ARRAY_SIZE]; Avg(Function<SortedSetDocValues> docValuesCall) { super(docValuesCall, ScoreMode.Avg); } @Override public void collect(int doc) throws IOException { if (docValues.advanceExact(doc)) { long ord; while ((ord = docValues.nextOrd()) != SortedSetDocValues.NO_MORE_ORDS) { int termID = collectedTerms.add(docValues.lookupOrd(ord)); if (termID < 0) { termID = -termID - 1; } else { if (termID >= scoreSums.length) { scoreSums = ArrayUtil.grow(scoreSums); scoreCounts = ArrayUtil.grow(scoreCounts); } } scoreSums[termID] += scorer.score(); scoreCounts[termID]++; } } } @Override public float[] getScoresPerTerm() { if (scoreCounts != null) { for (int i = 0; i < scoreCounts.length; i++) { scoreSums[i] = scoreSums[i] / scoreCounts[i]; } scoreCounts = null; } return scoreSums; } } } @Override public org.apache.lucene.search.ScoreMode scoreMode() { return org.apache.lucene.search.ScoreMode.COMPLETE; } }