Example usage for org.apache.solr.handler.component ResponseBuilder getSortSpec

Introduction

In this page you can find the example usage for org.apache.solr.handler.component ResponseBuilder getSortSpec.

Prototype

public SortSpec getSortSpec() 

Source Link

Usage

From source file:com.sn.solr.plugin.rank.RankEngine.java

License:Apache License

/**
 * Provides implementation for Dense ranking ["1223"] as identified by the
 * {@link RankStrategy#LEGACY_DENSE} the difference is that this
 * implementation is computed without using facet results so this will 
 * noticeably slower than computing rank based on facets
 * use {@link RankStrategy#DENSE}. Besides this implementation might cause 
 * lot of cache evictions putting stress on memory. 
 *
 * @see #computeDenseRank(List)/*w  w w.  j a  v  a2  s  . c  o m*/
 * 
 * @param pairList List of {@link Pair} objects that holds the value of rank 
 * field & respective count.
 */
@Deprecated
public static Map<String, Number> computeLegacyDenseRank(ResponseBuilder rb, String idField, String rankField)
        throws IOException {
    SolrIndexSearcher searcher = rb.req.getSearcher();
    SolrParams params = rb.req.getParams();// .getParams(FacetParams.FACET_FIELD);

    String _start = params.get(CommonParams.START);
    String _rows = params.get(CommonParams.ROWS);
    int start = 0;
    int rows = 10;

    if (_start != null & AppHelper.isInteger(_start))
        start = new Integer(_start);
    if (_rows != null & AppHelper.isInteger(_rows))
        rows = new Integer(_rows);

    LOG.info("Computing rank using strategy: {}", RankStrategy.ORDINAL.getDescription());
    FieldSelector fs = new MapFieldSelector(new String[] { idField, rankField });
    Map<String, Number> rankMap = new HashMap<String, Number>();
    DocList docs = searcher.getDocList(rb.getQuery(), rb.getFilters(), rb.getSortSpec().getSort(), 0,
            start + rows, 0);
    int denseRank = 1;
    int _CurrScore = 0;
    int _PrevScore = 0;
    int i = 0;
    for (DocIterator it = docs.iterator(); it.hasNext();) {
        Document doc = searcher.doc(it.nextDoc(), fs);
        _CurrScore = new Integer(doc.get(rankField));
        if (i == 0) {
            _PrevScore = _CurrScore;
        }
        if (_PrevScore != _CurrScore) {
            _PrevScore = _CurrScore;
            denseRank++;
        }
        if (i >= start) {
            rankMap.put(doc.get(idField), denseRank);
        }
        i++;
    }

    return rankMap;
}

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