Hello Lucene Users,
I am traversing all documents that contains a given term with following code :
Term term = new Term(field, word);
Bits bits = MultiFields.getLiveDocs(reader);
DocsEnum docsEnum = MultiFields.getTermDocsEnum(reader, bits, field,
term.bytes());
while (docsEnum.nextDoc() != Doc
How will you know how large to allocate that array? The within-doc
term freq can in general be arbitrarily large...
Lucene does not directly store the total number of terms in a
document, but it does store it approximately in the doc's norm value.
Maybe you can use that? Alternatively, you can s
Hi Michael,
Thanks for the explanation. I am working with a TREC dataset,
since it is static, I set size of that array experimentally.
I followed the DefaultSimilarity#lengthNorm method a bit.
If default similarity and no index time boost is used,
I assume that norm equals to 1.0 / Math.sqrt
On Fri, Feb 6, 2015 at 8:51 AM, Ahmet Arslan wrote:
> Hi Michael,
>
> Thanks for the explanation. I am working with a TREC dataset,
> since it is static, I set size of that array experimentally.
>
> I followed the DefaultSimilarity#lengthNorm method a bit.
>
> If default similarity and no index ti
Hi,
Sorry for my ignorance, how do I obtain AtomicReader from a IndexReader?
I figured above code but it gives me a list of atomic readers.
for (AtomicReaderContext context : reader.leaves()) {
NumericDocValues docValues = context.reader().getNormValues(field);
if (docValues != null)
normValu
