public ReRankCollector(
     int reRankDocs,
     int length,
     Query reRankQuery,
     double reRankWeight,
     SolrIndexSearcher.QueryCommand cmd,
     IndexSearcher searcher,
     Map<BytesRef, Integer> boostedPriority,
     boolean scale)
     throws IOException {
   super(null);
   this.reRankQuery = reRankQuery;
   this.reRankDocs = reRankDocs;
   this.length = length;
   this.boostedPriority = boostedPriority;
   this.scale = scale;
   Sort sort = cmd.getSort();
   if (sort == null) {
     this.mainCollector = TopScoreDocCollector.create(Math.max(this.reRankDocs, length), true);
   } else {
     sort = sort.rewrite(searcher);
     this.mainCollector =
         TopFieldCollector.create(
             sort, Math.max(this.reRankDocs, length), false, true, true, true);
   }
   this.searcher = searcher;
   this.reRankWeight = reRankWeight;
 }
    public Query parse() throws SyntaxError {
      String reRankQueryString = localParams.get("reRankQuery");
      boolean scale = localParams.getBool("scale", false);
      QParser reRankParser = QParser.getParser(reRankQueryString, null, req);
      Query reRankQuery = reRankParser.parse();

      int reRankDocs = localParams.getInt("reRankDocs", 200);
      reRankDocs = Math.max(1, reRankDocs); //

      double reRankWeight = localParams.getDouble("reRankWeight", 2.0d);

      int start = params.getInt(CommonParams.START, 0);
      int rows = params.getInt(CommonParams.ROWS, 10);
      int length = start + rows;
      return new ReRankQuery(reRankQuery, reRankDocs, reRankWeight, length, scale);
    }
Exemplo n.º 3
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  private void mergeIds(ResponseBuilder rb, ShardRequest sreq) {
    SortSpec ss = rb.getSortSpec();
    Sort sort = ss.getSort();

    SortField[] sortFields = null;
    if (sort != null) sortFields = sort.getSort();
    else {
      sortFields = new SortField[] {SortField.FIELD_SCORE};
    }

    SchemaField uniqueKeyField = rb.req.getSchema().getUniqueKeyField();

    // id to shard mapping, to eliminate any accidental dups
    HashMap<Object, String> uniqueDoc = new HashMap<Object, String>();

    // Merge the docs via a priority queue so we don't have to sort *all* of the
    // documents... we only need to order the top (rows+start)
    ShardFieldSortedHitQueue queue;
    queue = new ShardFieldSortedHitQueue(sortFields, ss.getOffset() + ss.getCount());

    long numFound = 0;
    Float maxScore = null;
    for (ShardResponse srsp : sreq.responses) {
      SolrDocumentList docs =
          (SolrDocumentList) srsp.getSolrResponse().getResponse().get("response");

      // calculate global maxScore and numDocsFound
      if (docs.getMaxScore() != null) {
        maxScore = maxScore == null ? docs.getMaxScore() : Math.max(maxScore, docs.getMaxScore());
      }
      numFound += docs.getNumFound();

      NamedList sortFieldValues =
          (NamedList) (srsp.getSolrResponse().getResponse().get("sort_values"));

      // go through every doc in this response, construct a ShardDoc, and
      // put it in the priority queue so it can be ordered.
      for (int i = 0; i < docs.size(); i++) {
        SolrDocument doc = docs.get(i);
        Object id = doc.getFieldValue(uniqueKeyField.getName());

        String prevShard = uniqueDoc.put(id, srsp.getShard());
        if (prevShard != null) {
          // duplicate detected
          numFound--;

          // For now, just always use the first encountered since we can't currently
          // remove the previous one added to the priority queue.  If we switched
          // to the Java5 PriorityQueue, this would be easier.
          continue;
          // make which duplicate is used deterministic based on shard
          // if (prevShard.compareTo(srsp.shard) >= 0) {
          //  TODO: remove previous from priority queue
          //  continue;
          // }
        }

        ShardDoc shardDoc = new ShardDoc();
        shardDoc.id = id;
        shardDoc.shard = srsp.getShard();
        shardDoc.orderInShard = i;
        Object scoreObj = doc.getFieldValue("score");
        if (scoreObj != null) {
          if (scoreObj instanceof String) {
            shardDoc.score = Float.parseFloat((String) scoreObj);
          } else {
            shardDoc.score = (Float) scoreObj;
          }
        }

        shardDoc.sortFieldValues = sortFieldValues;

        queue.insertWithOverflow(shardDoc);
      } // end for-each-doc-in-response
    } // end for-each-response

    // The queue now has 0 -> queuesize docs, where queuesize <= start + rows
    // So we want to pop the last documents off the queue to get
    // the docs offset -> queuesize
    int resultSize = queue.size() - ss.getOffset();
    resultSize = Math.max(0, resultSize); // there may not be any docs in range

    Map<Object, ShardDoc> resultIds = new HashMap<Object, ShardDoc>();
    for (int i = resultSize - 1; i >= 0; i--) {
      ShardDoc shardDoc = (ShardDoc) queue.pop();
      shardDoc.positionInResponse = i;
      // Need the toString() for correlation with other lists that must
      // be strings (like keys in highlighting, explain, etc)
      resultIds.put(shardDoc.id.toString(), shardDoc);
    }

    SolrDocumentList responseDocs = new SolrDocumentList();
    if (maxScore != null) responseDocs.setMaxScore(maxScore);
    responseDocs.setNumFound(numFound);
    responseDocs.setStart(ss.getOffset());
    // size appropriately
    for (int i = 0; i < resultSize; i++) responseDocs.add(null);

    // save these results in a private area so we can access them
    // again when retrieving stored fields.
    // TODO: use ResponseBuilder (w/ comments) or the request context?
    rb.resultIds = resultIds;
    rb._responseDocs = responseDocs;
  }
    public TopDocs topDocs(int start, int howMany) {

      try {

        TopDocs mainDocs = mainCollector.topDocs(0, Math.max(reRankDocs, length));

        if (mainDocs.totalHits == 0 || mainDocs.scoreDocs.length == 0) {
          return mainDocs;
        }

        if (boostedPriority != null) {
          SolrRequestInfo info = SolrRequestInfo.getRequestInfo();
          Map requestContext = null;
          if (info != null) {
            requestContext = info.getReq().getContext();
          }

          IntIntOpenHashMap boostedDocs =
              QueryElevationComponent.getBoostDocs(
                  (SolrIndexSearcher) searcher, boostedPriority, requestContext);

          ScoreDoc[] mainScoreDocs = mainDocs.scoreDocs;
          ScoreDoc[] reRankScoreDocs = new ScoreDoc[Math.min(mainScoreDocs.length, reRankDocs)];
          System.arraycopy(mainScoreDocs, 0, reRankScoreDocs, 0, reRankScoreDocs.length);

          mainDocs.scoreDocs = reRankScoreDocs;

          Map<Integer, Float> scoreMap = getScoreMap(mainDocs.scoreDocs, mainDocs.scoreDocs.length);

          TopDocs rescoredDocs =
              new QueryRescorer(reRankQuery) {
                @Override
                protected float combine(
                    float firstPassScore, boolean secondPassMatches, float secondPassScore) {
                  float score = firstPassScore;
                  if (secondPassMatches) {
                    score += reRankWeight * secondPassScore;
                  }
                  return score;
                }
              }.rescore(searcher, mainDocs, mainDocs.scoreDocs.length);

          Arrays.sort(
              rescoredDocs.scoreDocs,
              new BoostedComp(boostedDocs, mainDocs.scoreDocs, rescoredDocs.getMaxScore()));

          // Lower howMany if we've collected fewer documents.
          howMany = Math.min(howMany, mainScoreDocs.length);

          if (howMany == rescoredDocs.scoreDocs.length) {
            if (scale) {
              scaleScores(rescoredDocs, scoreMap);
            }
            return rescoredDocs; // Just return the rescoredDocs
          } else if (howMany > rescoredDocs.scoreDocs.length) {
            // We need to return more then we've reRanked, so create the combined page.
            ScoreDoc[] scoreDocs = new ScoreDoc[howMany];
            System.arraycopy(
                mainScoreDocs, 0, scoreDocs, 0, scoreDocs.length); // lay down the initial docs
            System.arraycopy(
                rescoredDocs.scoreDocs,
                0,
                scoreDocs,
                0,
                rescoredDocs.scoreDocs.length); // overlay the re-ranked docs.
            rescoredDocs.scoreDocs = scoreDocs;
            if (scale) {
              scaleScores(rescoredDocs, scoreMap);
            }
            return rescoredDocs;
          } else {
            // We've rescored more then we need to return.
            ScoreDoc[] scoreDocs = new ScoreDoc[howMany];
            System.arraycopy(rescoredDocs.scoreDocs, 0, scoreDocs, 0, howMany);
            rescoredDocs.scoreDocs = scoreDocs;
            if (scale) {
              scaleScores(rescoredDocs, scoreMap);
            }
            return rescoredDocs;
          }

        } else {

          ScoreDoc[] mainScoreDocs = mainDocs.scoreDocs;

          /*
           *  Create the array for the reRankScoreDocs.
           */
          ScoreDoc[] reRankScoreDocs = new ScoreDoc[Math.min(mainScoreDocs.length, reRankDocs)];

          /*
           *  Copy the initial results into the reRankScoreDocs array.
           */
          System.arraycopy(mainScoreDocs, 0, reRankScoreDocs, 0, reRankScoreDocs.length);

          mainDocs.scoreDocs = reRankScoreDocs;

          Map<Integer, Float> scoreMap = getScoreMap(mainDocs.scoreDocs, mainDocs.scoreDocs.length);

          TopDocs rescoredDocs =
              new QueryRescorer(reRankQuery) {
                @Override
                protected float combine(
                    float firstPassScore, boolean secondPassMatches, float secondPassScore) {
                  float score = firstPassScore;
                  if (secondPassMatches) {
                    score += reRankWeight * secondPassScore;
                  }
                  return score;
                }
              }.rescore(searcher, mainDocs, mainDocs.scoreDocs.length);

          // Lower howMany to return if we've collected fewer documents.
          howMany = Math.min(howMany, mainScoreDocs.length);

          if (howMany == rescoredDocs.scoreDocs.length) {
            if (scale) {
              scaleScores(rescoredDocs, scoreMap);
            }
            return rescoredDocs; // Just return the rescoredDocs
          } else if (howMany > rescoredDocs.scoreDocs.length) {

            // We need to return more then we've reRanked, so create the combined page.
            ScoreDoc[] scoreDocs = new ScoreDoc[howMany];
            // lay down the initial docs
            System.arraycopy(mainScoreDocs, 0, scoreDocs, 0, scoreDocs.length);
            // overlay the rescoreds docs
            System.arraycopy(
                rescoredDocs.scoreDocs, 0, scoreDocs, 0, rescoredDocs.scoreDocs.length);
            rescoredDocs.scoreDocs = scoreDocs;
            if (scale) {
              assert (scoreMap != null);
              scaleScores(rescoredDocs, scoreMap);
            }
            return rescoredDocs;
          } else {
            // We've rescored more then we need to return.
            ScoreDoc[] scoreDocs = new ScoreDoc[howMany];
            System.arraycopy(rescoredDocs.scoreDocs, 0, scoreDocs, 0, howMany);
            rescoredDocs.scoreDocs = scoreDocs;
            if (scale) {
              scaleScores(rescoredDocs, scoreMap);
            }
            return rescoredDocs;
          }
        }
      } catch (Exception e) {
        throw new SolrException(SolrException.ErrorCode.BAD_REQUEST, e);
      }
    }