Beard, Brian wrote:
Question:
The documents that I index have two id's - a unique document id and a
record_id that can link multiple documents together that belong to a
common record.
I'd like to use something like TopDocs to return the first 1024 results
that have unique record_id's, but I will want to skip some of the
returned documents that have the same record_id. We're using the
ParallelMultiSearcher.
I read that I could use a HitCollector and throw an exception to get it
to stop, but is there a cleaner way?
I'm doing a similar thing. I have external Ids (equivalent to yout record_id),
which have one or more Lucene Documents associated with them. I wrote a custom
HitCollector that uses a Map to hold the so far collected external ids along
with the collected document.
I had to write my own priority queue to know when an object was dropped of the
bottom of the score sorted queue, but the latest PriorityQueue on the trunk now
has insertWithOverflow(), which does the same thing.
Note that ResultDoc extends ScoreDoc, so that the external Id of the item
dropped off the queue can be used to remove it from my Map.
Code snippet is somewhat as below (I am caching my external Ids, hence the cache
usage)
protected Map<OfficeId, ScoreDoc> results;
public void collect(int doc, float score)
{
if (score > 0.0f)
{
totalHits++;
if (pq.size() < numHits || score > minScore)
{
OfficeId id = cache.get(doc);
ResultDoc rd = results.get(id);
// No current result for this ID yet found
if (rd == null)
{
rd = new ResultDoc(id, doc, score);
ResultDoc added = pq.insert(rd);
if (added == null)
{
// Nothing dropped of the bottom
results.put(id, rd);
}
else
{
// Return value dropped of the bottom
results.remove(added.id);
results.put(id, rd);
remaining++;
}
}
// Already found this ID, so replace high score if necessary
else
{
if (score > rd.score)
{
pq.remove(rd);
rd.score = score;
pq.insert(rd);
}
}
// Readjust our minimum score again from the top entry
minScore = pq.peek().score;
}
else
remaining++;
}
}
HTH
Antony
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