public Scorer scorer(IndexReader reader) throws IOException {
TermDocs termDocs = reader.termDocs(term);
if (termDocs == null) return null;
return new MyTermScorer(this, termDocs, similarity, reader.norms(term.field()));
}
@Override
public boolean reload(String collectionName, int docNum) {
if (collectionName == null) return false;
CrescentCollectionHandler collectionHandler =
SpringApplicationContext.getBean(
"crescentCollectionHandler", CrescentCollectionHandler.class);
CrescentCollection collection =
collectionHandler.getCrescentCollections().getCrescentCollection(collectionName);
if (collection == null) {
logger.debug("doesn't Collection Info => {}", collectionName);
return false;
}
List<String> fieldName = new ArrayList<String>();
List<String> flag = new ArrayList<String>();
List<String> norm = new ArrayList<String>();
List<String> value = new ArrayList<String>();
try {
Directory directory = FSDirectory.open(new File(collection.getIndexingDirectory()));
IndexReader reader = IndexReader.open(directory);
Document document = null;
try {
document = reader.document(docNum);
} catch (IllegalArgumentException e) {
e.printStackTrace();
return false;
}
String fName = null;
for (Fieldable field : document.getFields()) {
fName = field.name();
fieldName.add(fName);
flag.add(fieldFlag(field));
if (reader.hasNorms(fName)) {
norm.add(String.valueOf(Similarity.decodeNorm(reader.norms(fName)[docNum])));
} else {
norm.add("---");
}
value.add(field.stringValue());
}
} catch (IOException e) {
e.printStackTrace();
return false;
}
result.put("collection", collectionName);
result.put("docNum", docNum);
result.put("fieldName", fieldName);
result.put("flag", flag);
result.put("norm", norm);
result.put("value", value);
return true;
}
public Explanation explain(IndexReader reader, int doc) throws IOException {
ComplexExplanation result = new ComplexExplanation();
result.setDescription("weight(" + getQuery() + " in " + doc + "), product of:");
Explanation idfExpl = new Explanation(idf, "idf(docFreq=" + reader.docFreq(term) + ")");
// explain query weight
Explanation queryExpl = new Explanation();
queryExpl.setDescription("queryWeight(" + getQuery() + "), product of:");
Explanation boostExpl = new Explanation(getBoost(), "boost");
if (getBoost() != 1.0f) queryExpl.addDetail(boostExpl);
queryExpl.addDetail(idfExpl);
Explanation queryNormExpl = new Explanation(queryNorm, "queryNorm");
queryExpl.addDetail(queryNormExpl);
queryExpl.setValue(boostExpl.getValue() * idfExpl.getValue() * queryNormExpl.getValue());
result.addDetail(queryExpl);
// explain field weight
String field = term.field();
ComplexExplanation fieldExpl = new ComplexExplanation();
fieldExpl.setDescription("fieldWeight(" + term + " in " + doc + "), product of:");
Explanation tfExpl = scorer(reader).explain(doc);
fieldExpl.addDetail(tfExpl);
fieldExpl.addDetail(idfExpl);
Explanation fieldNormExpl = new Explanation();
byte[] fieldNorms = reader.norms(field);
float fieldNorm = fieldNorms != null ? Similarity.decodeNorm(fieldNorms[doc]) : 0.0f;
fieldNormExpl.setValue(fieldNorm);
fieldNormExpl.setDescription("fieldNorm(field=" + field + ", doc=" + doc + ")");
fieldExpl.addDetail(fieldNormExpl);
fieldExpl.setMatch(Boolean.valueOf(tfExpl.isMatch()));
fieldExpl.setValue(tfExpl.getValue() * idfExpl.getValue() * fieldNormExpl.getValue());
result.addDetail(fieldExpl);
result.setMatch(fieldExpl.getMatch());
// combine them
result.setValue(queryExpl.getValue() * fieldExpl.getValue());
if (queryExpl.getValue() == 1.0f) return fieldExpl;
return result;
}
@Override
public Scorer scorer(IndexReader reader, boolean scoreDocsInOrder, boolean topScorer)
throws IOException {
return new PayloadTermSpanScorer(
(TermSpans) query.getSpans(reader), this, similarity, reader.norms(query.getField()));
}
@Override
public Scorer scorer(IndexReader reader, boolean scoreDocsInOrder, boolean topScorer)
throws IOException {
return new MatchNoneScorer(
reader, similarity, this, normsField != null ? reader.norms(normsField) : null);
}
@Override
public Scorer scorer(AtomicReaderContext context, ScorerContext scorerContext)
throws IOException {
if (termArrays.size() == 0) // optimize zero-term case
return null;
final IndexReader reader = context.reader;
final Bits delDocs = reader.getDeletedDocs();
PhraseQuery.PostingsAndFreq[] postingsFreqs =
new PhraseQuery.PostingsAndFreq[termArrays.size()];
for (int pos = 0; pos < postingsFreqs.length; pos++) {
Term[] terms = termArrays.get(pos);
final DocsAndPositionsEnum postingsEnum;
int docFreq;
if (terms.length > 1) {
postingsEnum = new UnionDocsAndPositionsEnum(reader, terms);
// coarse -- this overcounts since a given doc can
// have more than one terms:
docFreq = 0;
for (int termIdx = 0; termIdx < terms.length; termIdx++) {
docFreq += reader.docFreq(terms[termIdx]);
}
} else {
final Term term = terms[0];
postingsEnum = reader.termPositionsEnum(delDocs, term.field(), term.bytes());
if (postingsEnum == null) {
if (reader.termDocsEnum(delDocs, term.field(), term.bytes()) != null) {
// term does exist, but has no positions
throw new IllegalStateException(
"field \""
+ term.field()
+ "\" was indexed with Field.omitTermFreqAndPositions=true; cannot run PhraseQuery (term="
+ term.text()
+ ")");
} else {
// term does not exist
return null;
}
}
docFreq = reader.docFreq(term.field(), term.bytes());
}
postingsFreqs[pos] =
new PhraseQuery.PostingsAndFreq(postingsEnum, docFreq, positions.get(pos).intValue());
}
// sort by increasing docFreq order
if (slop == 0) {
ArrayUtil.quickSort(postingsFreqs);
}
if (slop == 0) {
ExactPhraseScorer s =
new ExactPhraseScorer(this, postingsFreqs, similarity, reader.norms(field));
if (s.noDocs) {
return null;
} else {
return s;
}
} else {
return new SloppyPhraseScorer(this, postingsFreqs, similarity, slop, reader.norms(field));
}
}
/** @see LuceneIndexReader#norms(String) */
public byte[] norms(String field) throws IOException {
return indexReader.norms(field);
}
/** @see LuceneIndexReader#norms(String, byte[], int) */
public void norms(String field, byte[] bytes, int offset) throws IOException {
indexReader.norms(field, bytes, offset);
}
