Examples with ConstantScoreScorer org.apache.lucene.search.ConstantScoreScorer used on opensource projects

Example 1 with ConstantScoreScorer

use of org.apache.lucene.search.ConstantScoreScorer in project elasticsearch by elastic.

the class MinDocQuery method createWeight.

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

        @Override
        public Scorer scorer(LeafReaderContext context) throws IOException {
            final int maxDoc = context.reader().maxDoc();
            if (context.docBase + maxDoc <= minDoc) {
                return null;
            }
            final int segmentMinDoc = Math.max(0, minDoc - context.docBase);
            final DocIdSetIterator disi = new DocIdSetIterator() {

                int doc = -1;

                @Override
                public int docID() {
                    return doc;
                }

                @Override
                public int nextDoc() throws IOException {
                    return advance(doc + 1);
                }

                @Override
                public int advance(int target) throws IOException {
                    assert target > doc;
                    if (doc == -1) {
                        // skip directly to minDoc
                        doc = Math.max(target, segmentMinDoc);
                    } else {
                        doc = target;
                    }
                    if (doc >= maxDoc) {
                        doc = NO_MORE_DOCS;
                    }
                    return doc;
                }

                @Override
                public long cost() {
                    return maxDoc - segmentMinDoc;
                }
            };
            return new ConstantScoreScorer(this, score(), disi);
        }
    };
}

Example 2 with ConstantScoreScorer

use of org.apache.lucene.search.ConstantScoreScorer in project lucene-solr by apache.

the class DrillSidewaysQuery method createWeight.

@Override
public Weight createWeight(IndexSearcher searcher, boolean needsScores, float boost) throws IOException {
    final Weight baseWeight = baseQuery.createWeight(searcher, needsScores, boost);
    final Weight[] drillDowns = new Weight[drillDownQueries.length];
    for (int dim = 0; dim < drillDownQueries.length; dim++) {
        drillDowns[dim] = searcher.createNormalizedWeight(drillDownQueries[dim], false);
    }
    return new Weight(DrillSidewaysQuery.this) {

        @Override
        public void extractTerms(Set<Term> terms) {
        }

        @Override
        public Explanation explain(LeafReaderContext context, int doc) throws IOException {
            return baseWeight.explain(context, doc);
        }

        @Override
        public Scorer scorer(LeafReaderContext context) throws IOException {
            // We can only run as a top scorer:
            throw new UnsupportedOperationException();
        }

        @Override
        public BulkScorer bulkScorer(LeafReaderContext context) throws IOException {
            Scorer baseScorer = baseWeight.scorer(context);
            DrillSidewaysScorer.DocsAndCost[] dims = new DrillSidewaysScorer.DocsAndCost[drillDowns.length];
            int nullCount = 0;
            for (int dim = 0; dim < dims.length; dim++) {
                Scorer scorer = drillDowns[dim].scorer(context);
                if (scorer == null) {
                    nullCount++;
                    scorer = new ConstantScoreScorer(drillDowns[dim], 0f, DocIdSetIterator.empty());
                }
                dims[dim] = new DrillSidewaysScorer.DocsAndCost(scorer, drillSidewaysCollectors[dim]);
            }
            //if (nullCount > 1 || (nullCount == 1 && dims.length == 1)) {
            if (nullCount > 1) {
                return null;
            }
            // Sort drill-downs by most restrictive first:
            Arrays.sort(dims, new Comparator<DrillSidewaysScorer.DocsAndCost>() {

                @Override
                public int compare(DocsAndCost o1, DocsAndCost o2) {
                    return Long.compare(o1.approximation.cost(), o2.approximation.cost());
                }
            });
            if (baseScorer == null) {
                return null;
            }
            return new DrillSidewaysScorer(context, baseScorer, drillDownCollector, dims, scoreSubDocsAtOnce);
        }
    };
}

Example 3 with ConstantScoreScorer

use of org.apache.lucene.search.ConstantScoreScorer in project lucene-solr by apache.

the class FunctionMatchQuery 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 {
            DoubleValues values = source.getValues(context, null);
            DocIdSetIterator approximation = DocIdSetIterator.all(context.reader().maxDoc());
            TwoPhaseIterator twoPhase = new TwoPhaseIterator(approximation) {

                @Override
                public boolean matches() throws IOException {
                    return values.advanceExact(approximation.docID()) && filter.test(values.doubleValue());
                }

                @Override
                public float matchCost() {
                    // TODO maybe DoubleValuesSource should have a matchCost?
                    return 100;
                }
            };
            return new ConstantScoreScorer(this, score(), twoPhase);
        }
    };
}

Example 4 with ConstantScoreScorer

use of org.apache.lucene.search.ConstantScoreScorer in project lucene-solr by apache.

the class LatLonDocValuesBoxQuery 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 {
            final SortedNumericDocValues values = context.reader().getSortedNumericDocValues(field);
            if (values == null) {
                return null;
            }
            final TwoPhaseIterator iterator = new TwoPhaseIterator(values) {

                @Override
                public boolean matches() throws IOException {
                    for (int i = 0, count = values.docValueCount(); i < count; ++i) {
                        final long value = values.nextValue();
                        final int lat = (int) (value >>> 32);
                        if (lat < minLatitude || lat > maxLatitude) {
                            // not within latitude range
                            continue;
                        }
                        final int lon = (int) (value & 0xFFFFFFFF);
                        if (crossesDateline) {
                            if (lon > maxLongitude && lon < minLongitude) {
                                // not within longitude range
                                continue;
                            }
                        } else {
                            if (lon < minLongitude || lon > maxLongitude) {
                                // not within longitude range
                                continue;
                            }
                        }
                        return true;
                    }
                    return false;
                }

                @Override
                public float matchCost() {
                    // 5 comparisons
                    return 5;
                }
            };
            return new ConstantScoreScorer(this, boost, iterator);
        }
    };
}

Example 5 with ConstantScoreScorer

use of org.apache.lucene.search.ConstantScoreScorer in project lucene-solr by apache.

the class TestDrillSideways method testRandom.

public void testRandom() throws Exception {
    while (aChance == 0.0) {
        aChance = random().nextDouble();
    }
    while (bChance == 0.0) {
        bChance = random().nextDouble();
    }
    while (cChance == 0.0) {
        cChance = random().nextDouble();
    }
    //aChance = .01;
    //bChance = 0.5;
    //cChance = 1.0;
    double sum = aChance + bChance + cChance;
    aChance /= sum;
    bChance /= sum;
    cChance /= sum;
    int numDims = TestUtil.nextInt(random(), 2, 5);
    //int numDims = 3;
    int numDocs = atLeast(3000);
    //int numDocs = 20;
    if (VERBOSE) {
        System.out.println("numDims=" + numDims + " numDocs=" + numDocs + " aChance=" + aChance + " bChance=" + bChance + " cChance=" + cChance);
    }
    String[][] dimValues = new String[numDims][];
    int valueCount = 2;
    for (int dim = 0; dim < numDims; dim++) {
        Set<String> values = new HashSet<>();
        while (values.size() < valueCount) {
            String s = TestUtil.randomRealisticUnicodeString(random());
            //String s = _TestUtil.randomString(random());
            if (s.length() > 0) {
                values.add(s);
            }
        }
        dimValues[dim] = values.toArray(new String[values.size()]);
        valueCount *= 2;
    }
    List<Doc> docs = new ArrayList<>();
    for (int i = 0; i < numDocs; i++) {
        Doc doc = new Doc();
        doc.id = "" + i;
        doc.contentToken = randomContentToken(false);
        doc.dims = new int[numDims];
        doc.dims2 = new int[numDims];
        for (int dim = 0; dim < numDims; dim++) {
            if (random().nextInt(5) == 3) {
                // This doc is missing this dim:
                doc.dims[dim] = -1;
            } else if (dimValues[dim].length <= 4) {
                int dimUpto = 0;
                doc.dims[dim] = dimValues[dim].length - 1;
                while (dimUpto < dimValues[dim].length) {
                    if (random().nextBoolean()) {
                        doc.dims[dim] = dimUpto;
                        break;
                    }
                    dimUpto++;
                }
            } else {
                doc.dims[dim] = random().nextInt(dimValues[dim].length);
            }
            if (random().nextInt(5) == 3) {
                // 2nd value:
                doc.dims2[dim] = random().nextInt(dimValues[dim].length);
            } else {
                doc.dims2[dim] = -1;
            }
        }
        docs.add(doc);
    }
    Directory d = newDirectory();
    Directory td = newDirectory();
    IndexWriterConfig iwc = newIndexWriterConfig(new MockAnalyzer(random()));
    iwc.setInfoStream(InfoStream.NO_OUTPUT);
    RandomIndexWriter w = new RandomIndexWriter(random(), d, iwc);
    DirectoryTaxonomyWriter tw = new DirectoryTaxonomyWriter(td, IndexWriterConfig.OpenMode.CREATE);
    FacetsConfig config = new FacetsConfig();
    for (int i = 0; i < numDims; i++) {
        config.setMultiValued("dim" + i, true);
    }
    boolean doUseDV = random().nextBoolean();
    for (Doc rawDoc : docs) {
        Document doc = new Document();
        doc.add(newStringField("id", rawDoc.id, Field.Store.YES));
        doc.add(new SortedDocValuesField("id", new BytesRef(rawDoc.id)));
        doc.add(newStringField("content", rawDoc.contentToken, Field.Store.NO));
        if (VERBOSE) {
            System.out.println("  doc id=" + rawDoc.id + " token=" + rawDoc.contentToken);
        }
        for (int dim = 0; dim < numDims; dim++) {
            int dimValue = rawDoc.dims[dim];
            if (dimValue != -1) {
                if (doUseDV) {
                    doc.add(new SortedSetDocValuesFacetField("dim" + dim, dimValues[dim][dimValue]));
                } else {
                    doc.add(new FacetField("dim" + dim, dimValues[dim][dimValue]));
                }
                doc.add(new StringField("dim" + dim, dimValues[dim][dimValue], Field.Store.YES));
                if (VERBOSE) {
                    System.out.println("    dim" + dim + "=" + new BytesRef(dimValues[dim][dimValue]));
                }
            }
            int dimValue2 = rawDoc.dims2[dim];
            if (dimValue2 != -1) {
                if (doUseDV) {
                    doc.add(new SortedSetDocValuesFacetField("dim" + dim, dimValues[dim][dimValue2]));
                } else {
                    doc.add(new FacetField("dim" + dim, dimValues[dim][dimValue2]));
                }
                doc.add(new StringField("dim" + dim, dimValues[dim][dimValue2], Field.Store.YES));
                if (VERBOSE) {
                    System.out.println("      dim" + dim + "=" + new BytesRef(dimValues[dim][dimValue2]));
                }
            }
        }
        w.addDocument(config.build(tw, doc));
    }
    if (random().nextBoolean()) {
        // Randomly delete a few docs:
        int numDel = TestUtil.nextInt(random(), 1, (int) (numDocs * 0.05));
        if (VERBOSE) {
            System.out.println("delete " + numDel);
        }
        int delCount = 0;
        while (delCount < numDel) {
            Doc doc = docs.get(random().nextInt(docs.size()));
            if (!doc.deleted) {
                if (VERBOSE) {
                    System.out.println("  delete id=" + doc.id);
                }
                doc.deleted = true;
                w.deleteDocuments(new Term("id", doc.id));
                delCount++;
            }
        }
    }
    if (random().nextBoolean()) {
        if (VERBOSE) {
            System.out.println("TEST: forceMerge(1)...");
        }
        w.forceMerge(1);
    }
    IndexReader r = w.getReader();
    final SortedSetDocValuesReaderState sortedSetDVState;
    IndexSearcher s = newSearcher(r);
    if (doUseDV) {
        sortedSetDVState = new DefaultSortedSetDocValuesReaderState(s.getIndexReader());
    } else {
        sortedSetDVState = null;
    }
    if (VERBOSE) {
        System.out.println("r.numDocs() = " + r.numDocs());
    }
    // NRT open
    TaxonomyReader tr = new DirectoryTaxonomyReader(tw);
    int numIters = atLeast(10);
    for (int iter = 0; iter < numIters; iter++) {
        String contentToken = random().nextInt(30) == 17 ? null : randomContentToken(true);
        int numDrillDown = TestUtil.nextInt(random(), 1, Math.min(4, numDims));
        if (VERBOSE) {
            System.out.println("\nTEST: iter=" + iter + " baseQuery=" + contentToken + " numDrillDown=" + numDrillDown + " useSortedSetDV=" + doUseDV);
        }
        String[][] drillDowns = new String[numDims][];
        int count = 0;
        boolean anyMultiValuedDrillDowns = false;
        while (count < numDrillDown) {
            int dim = random().nextInt(numDims);
            if (drillDowns[dim] == null) {
                if (random().nextBoolean()) {
                    // Drill down on one value:
                    drillDowns[dim] = new String[] { dimValues[dim][random().nextInt(dimValues[dim].length)] };
                } else {
                    int orCount = TestUtil.nextInt(random(), 1, Math.min(5, dimValues[dim].length));
                    drillDowns[dim] = new String[orCount];
                    anyMultiValuedDrillDowns |= orCount > 1;
                    for (int i = 0; i < orCount; i++) {
                        while (true) {
                            String value = dimValues[dim][random().nextInt(dimValues[dim].length)];
                            for (int j = 0; j < i; j++) {
                                if (value.equals(drillDowns[dim][j])) {
                                    value = null;
                                    break;
                                }
                            }
                            if (value != null) {
                                drillDowns[dim][i] = value;
                                break;
                            }
                        }
                    }
                }
                if (VERBOSE) {
                    BytesRef[] values = new BytesRef[drillDowns[dim].length];
                    for (int i = 0; i < values.length; i++) {
                        values[i] = new BytesRef(drillDowns[dim][i]);
                    }
                    System.out.println("  dim" + dim + "=" + Arrays.toString(values));
                }
                count++;
            }
        }
        Query baseQuery;
        if (contentToken == null) {
            baseQuery = new MatchAllDocsQuery();
        } else {
            baseQuery = new TermQuery(new Term("content", contentToken));
        }
        DrillDownQuery ddq = new DrillDownQuery(config, baseQuery);
        for (int dim = 0; dim < numDims; dim++) {
            if (drillDowns[dim] != null) {
                for (String value : drillDowns[dim]) {
                    ddq.add("dim" + dim, value);
                }
            }
        }
        Query filter;
        if (random().nextInt(7) == 6) {
            if (VERBOSE) {
                System.out.println("  only-even filter");
            }
            filter = new Query() {

                @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 {
                            DocIdSetIterator approximation = DocIdSetIterator.all(context.reader().maxDoc());
                            return new ConstantScoreScorer(this, score(), new TwoPhaseIterator(approximation) {

                                @Override
                                public boolean matches() throws IOException {
                                    int docID = approximation.docID();
                                    return (Integer.parseInt(context.reader().document(docID).get("id")) & 1) == 0;
                                }

                                @Override
                                public float matchCost() {
                                    return 1000f;
                                }
                            });
                        }
                    };
                }

                @Override
                public String toString(String field) {
                    return "drillSidewaysTestFilter";
                }

                @Override
                public boolean equals(Object o) {
                    return o == this;
                }

                @Override
                public int hashCode() {
                    return System.identityHashCode(this);
                }
            };
        } else {
            filter = null;
        }
        // Verify docs are always collected in order.  If we
        // had an AssertingScorer it could catch it when
        // Weight.scoresDocsOutOfOrder lies!:
        getNewDrillSideways(s, config, tr).search(ddq, new SimpleCollector() {

            int lastDocID;

            @Override
            public void collect(int doc) {
                assert doc > lastDocID;
                lastDocID = doc;
            }

            @Override
            protected void doSetNextReader(LeafReaderContext context) throws IOException {
                lastDocID = -1;
            }

            @Override
            public boolean needsScores() {
                return false;
            }
        });
        // subScorers are on the same docID:
        if (!anyMultiValuedDrillDowns) {
            // Can only do this test when there are no OR'd
            // drill-down values, because in that case it's
            // easily possible for one of the DD terms to be on
            // a future docID:
            getNewDrillSidewaysScoreSubdocsAtOnce(s, config, tr).search(ddq, new AssertingSubDocsAtOnceCollector());
        }
        TestFacetResult expected = slowDrillSidewaysSearch(s, docs, contentToken, drillDowns, dimValues, filter);
        Sort sort = new Sort(new SortField("id", SortField.Type.STRING));
        DrillSideways ds;
        if (doUseDV) {
            ds = getNewDrillSideways(s, config, sortedSetDVState);
        } else {
            ds = getNewDrillSidewaysBuildFacetsResult(s, config, tr);
        }
        // Retrieve all facets:
        DrillSidewaysResult actual = ds.search(ddq, filter, null, numDocs, sort, true, true);
        TopDocs hits = s.search(baseQuery, numDocs);
        Map<String, Float> scores = new HashMap<>();
        for (ScoreDoc sd : hits.scoreDocs) {
            scores.put(s.doc(sd.doc).get("id"), sd.score);
        }
        if (VERBOSE) {
            System.out.println("  verify all facets");
        }
        verifyEquals(dimValues, s, expected, actual, scores, doUseDV);
        // Make sure drill down doesn't change score:
        Query q = ddq;
        if (filter != null) {
            q = new BooleanQuery.Builder().add(q, Occur.MUST).add(filter, Occur.FILTER).build();
        }
        TopDocs ddqHits = s.search(q, numDocs);
        assertEquals(expected.hits.size(), ddqHits.totalHits);
        for (int i = 0; i < expected.hits.size(); i++) {
            // Score should be IDENTICAL:
            assertEquals(scores.get(expected.hits.get(i).id), ddqHits.scoreDocs[i].score, 0.0f);
        }
    }
    w.close();
    IOUtils.close(r, tr, tw, d, td);
}