internal MatchAllScorer(MatchAllDocsQuery enclosingInstance, IndexReader reader, Similarity similarity, Weight w, byte[] norms):base(similarity)
{
InitBlock(enclosingInstance);
this.termDocs = reader.TermDocs(null);
score = w.GetValue();
this.norms = norms;
}
private float freq; //prhase frequency in current doc as computed by phraseFreq().
internal PhraseScorer(Weight weight, TermPositions[] tps, int[] offsets, Similarity similarity, byte[] norms):base(similarity)
{
this.norms = norms;
this.weight = weight;
this.value_Renamed = weight.GetValue();
// convert tps to a list of phrase positions.
// note: phrase-position differs from term-position in that its position
// reflects the phrase offset: pp.pos = tp.pos - offset.
// this allows to easily identify a matching (exact) phrase
// when all PhrasePositions have exactly the same position.
for (int i = 0; i < tps.Length; i++)
{
PhrasePositions pp = new PhrasePositions(tps[i], offsets[i]);
if (last != null)
{
// add next to end of list
last.next = pp;
}
else
{
first = pp;
}
last = pp;
}
pq = new PhraseQueue(tps.Length); // construct empty pq
first.doc = - 1;
}
public /*internal*/ bool debugCheckedForDeletions = false; // for test purposes.
internal Hits(Searcher s, Query q, Filter f)
{
weight = q.Weight(s);
searcher = s;
filter = f;
nDeletions = CountDeletions(s);
GetMoreDocs(50); // retrieve 100 initially
lengthAtStart = length;
}
/// <summary> Construct a <code>TermScorer</code>.
///
/// </summary>
/// <param name="weight">The weight of the <code>Term</code> in the query.
/// </param>
/// <param name="td">An iterator over the documents matching the <code>Term</code>.
/// </param>
/// <param name="similarity">The <code>Similarity</code> implementation to be used for score
/// computations.
/// </param>
/// <param name="norms">The field norms of the document fields for the <code>Term</code>.
/// </param>
public /*internal*/ TermScorer(Weight weight, TermDocs td, Similarity similarity, byte[] norms):base(similarity)
{
this.weight = weight;
this.termDocs = td;
this.norms = norms;
this.weightValue = weight.GetValue();
for (int i = 0; i < SCORE_CACHE_SIZE; i++)
scoreCache[i] = GetSimilarity().Tf(i) * weightValue;
}
/// <summary> A search implementation which spans a new thread for each
/// Searchable, waits for each search to complete and merge
/// the results back together.
/// </summary>
public override TopDocs Search(Weight weight, Filter filter, int nDocs)
{
HitQueue hq = new HitQueue(nDocs, false);
int totalHits = 0;
MultiSearcherThread[] msta = new MultiSearcherThread[searchables.Length];
for (int i = 0; i < searchables.Length; i++)
{
// search each searchable
// Assume not too many searchables and cost of creating a thread is by far inferior to a search
msta[i] = new MultiSearcherThread(searchables[i], weight, filter, nDocs, hq, i, starts, "MultiSearcher thread #" + (i + 1));
msta[i].Start();
}
for (int i = 0; i < searchables.Length; i++)
{
try
{
msta[i].Join();
}
catch (System.Threading.ThreadInterruptedException ie)
{
// In 3.0 we will change this to throw
// InterruptedException instead
SupportClass.ThreadClass.Current().Interrupt();
throw new System.SystemException(ie.Message, ie);
}
System.IO.IOException ioe = msta[i].GetIOException();
if (ioe == null)
{
totalHits += msta[i].Hits();
}
else
{
// if one search produced an IOException, rethrow it
throw ioe;
}
}
ScoreDoc[] scoreDocs = new ScoreDoc[hq.Size()];
for (int i = hq.Size() - 1; i >= 0; i--)
// put docs in array
scoreDocs[i] = (ScoreDoc) hq.Pop();
float maxScore = (totalHits == 0)?System.Single.NegativeInfinity:scoreDocs[0].score;
return new TopDocs(totalHits, scoreDocs, maxScore);
}
public ConstantScorer(ConstantScoreQuery enclosingInstance, Similarity similarity, IndexReader reader, Weight w):base(similarity)
{
InitBlock(enclosingInstance);
theScore = w.GetValue();
DocIdSet docIdSet = Enclosing_Instance.filter.GetDocIdSet(reader);
if (docIdSet == null)
{
docIdSetIterator = DocIdSet.EMPTY_DOCIDSET.Iterator();
}
else
{
DocIdSetIterator iter = docIdSet.Iterator();
if (iter == null)
{
docIdSetIterator = DocIdSet.EMPTY_DOCIDSET.Iterator();
}
else
{
docIdSetIterator = iter;
}
}
}
public MultiSearcherThread(Searchable searchable, Weight weight, Filter filter, int nDocs, FieldDocSortedHitQueue hq, Sort sort, int i, int[] starts, System.String name):base(name)
{
this.searchable = searchable;
this.weight = weight;
this.filter = filter;
this.nDocs = nDocs;
this.hq = hq;
this.i = i;
this.starts = starts;
this.sort = sort;
}
public override Explanation Explain(Weight weight, int doc)
{
int n = ReaderUtil.SubIndex(doc, docStarts);
int deBasedDoc = doc - docStarts[n];
return weight.Explain(subReaders[n], deBasedDoc);
}
public override TopFieldDocs Search(Weight weight, Filter filter, int n, Sort sort)
{
FieldDocSortedHitQueue hq = null;
int totalHits = 0;
float maxScore = System.Single.NegativeInfinity;
for (int i = 0; i < searchables.Length; i++)
{
// search each searcher
TopFieldDocs docs = searchables[i].Search(weight, filter, n, sort);
// If one of the Sort fields is FIELD_DOC, need to fix its values, so that
// it will break ties by doc Id properly. Otherwise, it will compare to
// 'relative' doc Ids, that belong to two different searchers.
for (int j = 0; j < docs.fields.Length; j++)
{
if (docs.fields[j].GetType() == SortField.DOC)
{
// iterate over the score docs and change their fields value
for (int j2 = 0; j2 < docs.ScoreDocs.Length; j2++)
{
FieldDoc fd = (FieldDoc) docs.ScoreDocs[j2];
fd.fields[j] = (System.Int32) (((System.Int32) fd.fields[j]) + starts[i]);
}
break;
}
}
if (hq == null)
hq = new FieldDocSortedHitQueue(docs.fields, n);
totalHits += docs.TotalHits; // update totalHits
maxScore = System.Math.Max(maxScore, docs.GetMaxScore());
ScoreDoc[] scoreDocs = docs.ScoreDocs;
for (int j = 0; j < scoreDocs.Length; j++)
{
// merge scoreDocs into hq
ScoreDoc scoreDoc = scoreDocs[j];
scoreDoc.doc += starts[i]; // convert doc
if (!hq.Insert(scoreDoc))
break; // no more scores > minScore
}
}
ScoreDoc[] scoreDocs2 = new ScoreDoc[hq.Size()];
for (int i = hq.Size() - 1; i >= 0; i--)
// put docs in array
scoreDocs2[i] = (ScoreDoc) hq.Pop();
return new TopFieldDocs(totalHits, scoreDocs2, hq.GetFields(), maxScore);
}
public override Explanation Explain(Weight weight, int doc)
{
int i = SubSearcher(doc); // find searcher index
return searchables[i].Explain(weight, doc - starts[i]); // dispatch to searcher
}
public override Explanation Explain(Weight weight, int doc)
{
throw new System.NotSupportedException();
}
public override TopFieldDocs Search(Weight weight, Filter filter, int n, Sort sort)
{
throw new System.NotSupportedException();
}
public virtual void Search(Weight weight, Filter filter, HitCollector results)
{
Search(weight, filter, new HitCollectorWrapper(results));
}
abstract public TopFieldDocs Search(Weight weight, Filter filter, int n, Sort sort);
abstract public Explanation Explain(Weight weight, int doc);
abstract public TopDocs Search(Weight weight, Filter filter, int n);
abstract public void Search(Weight weight, Filter filter, Collector results);
// inherit javadoc
public override TopDocs Search(Weight weight, Filter filter, int nDocs)
{
if (nDocs <= 0)
{
throw new System.ArgumentException("nDocs must be > 0");
}
nDocs = System.Math.Min(nDocs, reader.MaxDoc());
TopScoreDocCollector collector = TopScoreDocCollector.create(nDocs, !weight.ScoresDocsOutOfOrder());
Search(weight, filter, collector);
return collector.TopDocs();
}
public override TopFieldDocs Search(Weight weight, Filter filter, int nDocs, Sort sort)
{
return Search(weight, filter, nDocs, sort, true);
}
public override void Search(Weight weight, Filter filter, Collector results)
{
throw new System.NotSupportedException();
}
/// <summary> Just like {@link #Search(Weight, Filter, int, Sort)}, but you choose
/// whether or not the fields in the returned {@link FieldDoc} instances
/// should be set by specifying fillFields.<br/>
///
/// <p/>
/// NOTE: this does not compute scores by default. If you need scores, create
/// a {@link TopFieldCollector} instance by calling
/// {@link TopFieldCollector#create} and then pass that to
/// {@link #Search(Weight, Filter, Collector)}.
/// <p/>
/// </summary>
public virtual TopFieldDocs Search(Weight weight, Filter filter, int nDocs, Sort sort, bool fillFields)
{
nDocs = System.Math.Min(nDocs, reader.MaxDoc());
SortField[] fields = sort.fields;
bool legacy = false;
for (int i = 0; i < fields.Length; i++)
{
SortField field = fields[i];
System.String fieldname = field.GetField();
int type = field.GetType();
// Resolve AUTO into its true type
if (type == SortField.AUTO)
{
int autotype = SortField.DetectFieldType(reader, fieldname);
if (autotype == SortField.STRING)
{
fields[i] = new SortField(fieldname, field.GetLocale(), field.GetReverse());
}
else
{
fields[i] = new SortField(fieldname, autotype, field.GetReverse());
}
}
if (field.GetUseLegacySearch())
{
legacy = true;
}
}
if (legacy)
{
// Search the single top-level reader
TopDocCollector collector = new TopFieldDocCollector(reader, sort, nDocs);
HitCollectorWrapper hcw = new HitCollectorWrapper(collector);
hcw.SetNextReader(reader, 0);
if (filter == null)
{
Scorer scorer = weight.Scorer(reader, true, true);
if (scorer != null)
{
scorer.Score(hcw);
}
}
else
{
SearchWithFilter(reader, weight, filter, hcw);
}
return (TopFieldDocs) collector.TopDocs();
}
TopFieldCollector collector2 = TopFieldCollector.create(sort, nDocs, fillFields, fieldSortDoTrackScores, fieldSortDoMaxScore, !weight.ScoresDocsOutOfOrder());
Search(weight, filter, collector2);
return (TopFieldDocs) collector2.TopDocs();
}
public override TopDocs Search(Weight weight, Filter filter, int nDocs)
{
HitQueue hq = new HitQueue(nDocs, false);
int totalHits = 0;
for (int i = 0; i < searchables.Length; i++)
{
// search each searcher
TopDocs docs = searchables[i].Search(weight, filter, nDocs);
totalHits += docs.TotalHits; // update totalHits
ScoreDoc[] scoreDocs = docs.ScoreDocs;
for (int j = 0; j < scoreDocs.Length; j++)
{
// merge scoreDocs into hq
ScoreDoc scoreDoc = scoreDocs[j];
scoreDoc.doc += starts[i]; // convert doc
if (!hq.Insert(scoreDoc))
break; // no more scores > minScore
}
}
ScoreDoc[] scoreDocs2 = new ScoreDoc[hq.Size()];
for (int i = hq.Size() - 1; i >= 0; i--)
// put docs in array
scoreDocs2[i] = (ScoreDoc) hq.Pop();
float maxScore = (totalHits == 0)?System.Single.NegativeInfinity:scoreDocs2[0].score;
return new TopDocs(totalHits, scoreDocs2, maxScore);
}
public override void Search(Weight weight, Filter filter, Collector collector)
{
if (filter == null)
{
for (int i = 0; i < subReaders.Length; i++)
{
// search each subreader
collector.SetNextReader(subReaders[i], docStarts[i]);
Scorer scorer = weight.Scorer(subReaders[i], !collector.AcceptsDocsOutOfOrder(), true);
if (scorer != null)
{
scorer.Score(collector);
}
}
}
else
{
for (int i = 0; i < subReaders.Length; i++)
{
// search each subreader
collector.SetNextReader(subReaders[i], docStarts[i]);
SearchWithFilter(subReaders[i], weight, filter, collector);
}
}
}
// inherit javadoc
public override void Search(Weight weight, Filter filter, Collector collector)
{
for (int i = 0; i < searchables.Length; i++)
{
int start = starts[i];
Collector hc = new AnonymousClassCollector(collector, start, this);
searchables[i].Search(weight, filter, hc);
}
}
private void SearchWithFilter(IndexReader reader, Weight weight, Filter filter, Collector collector)
{
System.Diagnostics.Debug.Assert(filter != null);
Scorer scorer = weight.Scorer(reader, true, false);
if (scorer == null)
{
return ;
}
int docID = scorer.DocID();
System.Diagnostics.Debug.Assert(docID == - 1 || docID == DocIdSetIterator.NO_MORE_DOCS);
// CHECKME: use ConjunctionScorer here?
DocIdSet filterDocIdSet = filter.GetDocIdSet(reader);
if (filterDocIdSet == null)
{
// this means the filter does not accept any documents.
return ;
}
DocIdSetIterator filterIter = filterDocIdSet.Iterator();
if (filterIter == null)
{
// this means the filter does not accept any documents.
return ;
}
int filterDoc = filterIter.NextDoc();
int scorerDoc = scorer.Advance(filterDoc);
collector.SetScorer(scorer);
while (true)
{
if (scorerDoc == filterDoc)
{
// Check if scorer has exhausted, only before collecting.
if (scorerDoc == DocIdSetIterator.NO_MORE_DOCS)
{
break;
}
collector.Collect(scorerDoc);
filterDoc = filterIter.NextDoc();
scorerDoc = scorer.Advance(filterDoc);
}
else if (scorerDoc > filterDoc)
{
filterDoc = filterIter.Advance(scorerDoc);
}
else
{
scorerDoc = scorer.Advance(filterDoc);
}
}
}
internal SloppyPhraseScorer(Weight weight, TermPositions[] tps, int[] offsets, Similarity similarity, int slop, byte[] norms):base(weight, tps, offsets, similarity, norms)
{
this.slop = slop;
}
internal ExactPhraseScorer(Weight weight, TermPositions[] tps, int[] offsets, Similarity similarity, byte[] norms):base(weight, tps, offsets, similarity, norms)
{
}