下面列出了org.apache.lucene.index.IndexReader#norms ( ) 实例代码,或者点击链接到github查看源代码,也可以在右侧发表评论。
final Scorer scorer(IndexReader reader) throws IOException {
if (terms.size() == 0) // optimize zero-term case
return null;
if (terms.size() == 1) { // optimize one-term case
Term term = (Term)terms.elementAt(0);
TermDocs docs = reader.termDocs(term);
if (docs == null)
return null;
return new TermScorer(docs, reader.norms(term.field()), weight);
}
TermPositions[] tps = new TermPositions[terms.size()];
for (int i = 0; i < terms.size(); i++) {
TermPositions p = reader.termPositions((Term)terms.elementAt(i));
if (p == null)
return null;
tps[i] = p;
}
if (slop == 0) // optimize exact case
return new ExactPhraseScorer(tps, reader.norms(field), weight);
else
return
new SloppyPhraseScorer(tps, slop, reader.norms(field), weight);
}
final Scorer scorer(IndexReader reader) throws IOException {
if (terms.size() == 0) // optimize zero-term case
return null;
if (terms.size() == 1) { // optimize one-term case
Term term = (Term)terms.elementAt(0);
TermDocs docs = reader.termDocs(term);
if (docs == null)
return null;
return new TermScorer(docs, reader.norms(term.field()), weight);
}
TermPositions[] tps = new TermPositions[terms.size()];
for (int i = 0; i < terms.size(); i++) {
TermPositions p = reader.termPositions((Term)terms.elementAt(i));
if (p == null)
return null;
tps[i] = p;
}
if (slop == 0) // optimize exact case
return new ExactPhraseScorer(tps, reader.norms(field), weight);
else
return
new SloppyPhraseScorer(tps, slop, reader.norms(field), weight);
}
public Scorer scorer(IndexReader reader) throws IOException {
TermDocs termDocs = reader.termDocs(term);
if (termDocs == null)
return null;
String field = term.field();
return new TermScorer(this, termDocs, similarity,
reader.hasNorms(field) ? reader.norms(field) : null);
}
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) +
", numDocs=" + reader.numDocs() + ")");
// 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;
}