public void collectTermContext(
IndexReader reader,
List<LeafReaderContext> leaves,
TermContext[] contextArray,
Term[] queryTerms)
throws IOException {
TermsEnum termsEnum = null;
for (LeafReaderContext context : leaves) {
final Fields fields = context.reader().fields();
for (int i = 0; i < queryTerms.length; i++) {
Term term = queryTerms[i];
TermContext termContext = contextArray[i];
final Terms terms = fields.terms(term.field());
if (terms == null) {
// field does not exist
continue;
}
termsEnum = terms.iterator();
assert termsEnum != null;
if (termsEnum == TermsEnum.EMPTY) continue;
if (termsEnum.seekExact(term.bytes())) {
if (termContext == null) {
contextArray[i] =
new TermContext(
reader.getContext(),
termsEnum.termState(),
context.ord,
termsEnum.docFreq(),
termsEnum.totalTermFreq());
} else {
termContext.register(
termsEnum.termState(), context.ord, termsEnum.docFreq(), termsEnum.totalTermFreq());
}
}
}
}
}
private Query newTermQuery(IndexReader reader, Term term) throws IOException {
if (ignoreTF) {
return new ConstantScoreQuery(new TermQuery(term));
} else {
// we build an artificial TermContext that will give an overall df and ttf
// equal to 1
TermContext context = new TermContext(reader.getContext());
for (LeafReaderContext leafContext : reader.leaves()) {
Terms terms = leafContext.reader().terms(term.field());
if (terms != null) {
TermsEnum termsEnum = terms.iterator();
if (termsEnum.seekExact(term.bytes())) {
int freq = 1 - context.docFreq(); // we want the total df and ttf to be 1
context.register(termsEnum.termState(), leafContext.ord, freq, freq);
}
}
}
return new TermQuery(term, context);
}
}