Java 类org.apache.lucene.search.BulkScorer 实例源码

项目:elasticsearch_my    文件:ProfileWeight.java   
@Override
public BulkScorer bulkScorer(LeafReaderContext context) throws IOException {
    // We use the default bulk scorer instead of the specialized one. The reason
    // is that Lucene's BulkScorers do everything at once: finding matches,
    // scoring them and calling the collector, so they make it impossible to
    // see where time is spent, which is the purpose of query profiling.
    // The default bulk scorer will pull a scorer and iterate over matches,
    // this might be a significantly different execution path for some queries
    // like disjunctions, but in general this is what is done anyway
    return super.bulkScorer(context);
}
项目:elasticsearch_my    文件:CompletionSuggester.java   
private static void suggest(IndexSearcher searcher, CompletionQuery query, TopSuggestDocsCollector collector) throws IOException {
    query = (CompletionQuery) query.rewrite(searcher.getIndexReader());
    Weight weight = query.createWeight(searcher, collector.needsScores());
    for (LeafReaderContext context : searcher.getIndexReader().leaves()) {
        BulkScorer scorer = weight.bulkScorer(context);
        if (scorer != null) {
            try {
                scorer.score(collector.getLeafCollector(context), context.reader().getLiveDocs());
            } catch (CollectionTerminatedException e) {
                // collection was terminated prematurely
                // continue with the following leaf
            }
        }
    }
}
项目:Elasticsearch    文件:ProfileWeight.java   
@Override
public BulkScorer bulkScorer(LeafReaderContext context) throws IOException {
    // We use the default bulk scorer instead of the specialized one. The reason
    // is that Lucene's BulkScorers do everything at once: finding matches,
    // scoring them and calling the collector, so they make it impossible to
    // see where time is spent, which is the purpose of query profiling.
    // The default bulk scorer will pull a scorer and iterate over matches,
    // this might be a significantly different execution path for some queries
    // like disjunctions, but in general this is what is done anyway
    return super.bulkScorer(context);
}
项目:elasticsearch_my    文件:IndicesQueryCache.java   
@Override
public BulkScorer bulkScorer(LeafReaderContext context) throws IOException {
    shardKeyMap.add(context.reader());
    return in.bulkScorer(context);
}
项目:Elasticsearch    文件:IndicesQueryCache.java   
@Override
public BulkScorer bulkScorer(LeafReaderContext context) throws IOException {
    shardKeyMap.add(context.reader());
    return in.bulkScorer(context);
}