I need to iterate over all documents in a Lucene index, and obtain the positions at which each term occurs in each document. As far as I am able to understand from the Lucene javadoc, the way to do this is to do something like this:
IndexReader ir = obtainIndexReader();
Terms tv = ir.getTermVector( doc, field );
TermsEnum terms = tv.iterator();
PostingsEnum p = null;
while( terms.next() != null ) {
p = terms.postings( p, PostingsEnum.ALL );
while( p.nextDoc() != PostingsEnum.NO_MORE_DOCS ) {
int freq = p.freq();
for( int i = 0; i < freq; i++ ) {
int pos = p.nextPosition(); // Always returns -1!!!
BytesRef data = p.getPayload();
doStuff( freq, pos, data ); // Fails miserably, of course.
}
}
}
However, even though (1) the index does indeed include positions on the relevant field and (2) the term vector claims to have positions (i.e.: tv.hasPositions() == true), I keep getting "-1" for all positions.
First, am I doing something wrong? Is there an alternative way of iterating over postings on a per-document basis? Second: What is going on anyway? The index contains positions, the Terms instance returned by getTermVector claims to include positions, and I'm looking at the correct position values in Luke, yet I still get -1 when I try to access said values in my code. What gives?
EDIT: The relevant field was configured with the following options:
FieldType ft = new FieldType();
ft.setIndexOptions( IndexOptions.DOCS_AND_FREQS_AND_POSITIONS_AND_OFFSETS );
ft.setStoreTermVectors( true );
ft.setStoreTermVectorOffsets( true );
ft.setStoreTermVectorPayloads( true );
ft.setStoreTermVectorPositions( true );
ft.setTokenized( true );
return ft;
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