List of termDocs() Examples

Examples of termDocs()

com.browseengine.bobo.api.BoboIndexReader.termDocs()
org.apache.lucene.index.IndexReader.termDocs()
Returns an enumeration of all the documents which contain term. For each document, the document number, the frequency of the term in that document is also provided, for use in search scoring. If term is null, then all non-deleted docs are returned with freq=1. Thus, this method implements the mapping:
The enumeration is ordered by document number. Each document number is greater than all that precede it in the enumeration. @throws IOException if there is a low-level IO error

Examples of org.apache.lucene.index.IndexReader.termDocs()

          break;
        }
        OpenBitSet termBitset = new OpenBitSet(reader.maxDoc());


        // Generate bitset for the term
        TermDocs termDocs = reader.termDocs(term);


        while (termDocs.next()) {
          termBitset.set(termDocs.doc());
        }

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Examples of org.apache.lucene.index.IndexReader.termDocs()

          LOG.info(" Processed " + processedRecords + " records (" +
                  (float)(LOG_STEP * 1000)/(float)(System.currentTimeMillis() - delta) + " rec/s)");
          delta = System.currentTimeMillis();
        }
        // Enumerate all docs with the same URL hash or content hash
        TermDocs td = ir.termDocs(t);
        if (td == null) continue;
        if (t.field().equals("uh")) {
          // Keep only the latest version of the document with
          // the same url hash. Note: even if the content
          // hash is identical, other metadata may be different, so even

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Examples of org.apache.lucene.index.IndexReader.termDocs()

          LOG.info(" Processed " + processedRecords + " records (" +
                  (float)(LOG_STEP * 1000)/(float)(System.currentTimeMillis() - delta) + " rec/s)");
          delta = System.currentTimeMillis();
        }
        // Enumerate all docs with the same URL hash or content hash
        TermDocs td = ir.termDocs(t);
        if (td == null) continue;
        int id = -1;
        String time = null;
        Document doc = null;
        // Keep only the latest version of the document with

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Examples of org.apache.lucene.index.IndexReader.termDocs()

      final int size = r.numDocs();
      final OrdinalMap ordinalMap = map;
      ordinalMap.setSize(size);
      CategoryPath cp = new CategoryPath();
      TermEnum te = r.terms(Consts.FULL_TERM);
      TermDocs docs = r.termDocs();
      // we call next() first, to skip the root category which always exists.
      while (te.next()) {
        Term term = te.term();
        if (term.field() != Consts.FULL) break;
        cp.clear();

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Examples of org.apache.lucene.index.IndexReader.termDocs()

        break;
      }
      OpenBitSet termBitset = new OpenBitSet(reader.maxDoc());


      // Generate bitset for the term
      TermDocs termDocs = reader.termDocs(term);


      while (termDocs.next()) {
        termBitset.set(termDocs.doc());
      }

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Examples of org.apache.lucene.index.IndexReader.termDocs()

    openSearcher();
    IndexReader ir = searcher.getReader();
    TermDocs tdocs = null;
    boolean exists=false;
    try {
      tdocs = ir.termDocs(idTerm(indexedId));
      if (tdocs.next()) exists=true;
    } finally {
      try { if (tdocs != null) tdocs.close(); } catch (Exception e) {}
    }
    return exists;

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Examples of org.apache.lucene.index.IndexReader.termDocs()

    int off=offset;
    int lim=limit>=0 ? limit : Integer.MAX_VALUE;


    String startTerm = prefix==null ? "" : ft.toInternal(prefix);
    TermEnum te = r.terms(new Term(field,startTerm));
    TermDocs td = r.termDocs();


    if (docs.size() >= mincount) { 
    do {
      Term t = te.term();

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Examples of org.apache.lucene.index.IndexReader.termDocs()

        // other taxonomies need to be moved, but a category doesn't need
        // to be added because it already existed in the main taxonomy.


        // TODO (Facet): Again, is there a quicker way?
        Term t = new Term(Consts.FULL, first);
        TermDocs td = mainreader.termDocs(t);
        td.next(); // TODO (Facet): check?
        int newordinal = td.doc();


        currentMain = nextTE(mainte);
        for (int i=0; i<taxonomies.length; i++) {

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Examples of org.apache.lucene.index.IndexReader.termDocs()

    // Separately count how many tokens are actually in the index:
    IndexReader reader = IndexReader.open(benchmark.getRunData().getDirectory(), true);
    assertEquals(NUM_DOCS, reader.numDocs());


    TermEnum terms = reader.terms();
    TermDocs termDocs = reader.termDocs();
    int totalTokenCount2 = 0;
    while(terms.next()) {
      Term term = terms.term();
      /* not-tokenized, but indexed field */
      if (term != null && term.field() != DocMaker.ID_FIELD && term.field() != DocMaker.DATE_MSEC_FIELD && term.field() != DocMaker.TIME_SEC_FIELD) {

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Examples of org.apache.lucene.index.IndexReader.termDocs()

        searcher);


    // Obtain facets results and hand-test them
    assertCorrectResults(facetsCollector);


    TermDocs td = ir.termDocs(new Term("$facets", "$fulltree$"));
    assertTrue(td.next());


    tr.close();
    ir.close();
    searcher.close();

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