Examples of org.apache.lucene.index.DocsEnum.docID()

org.apache.lucene.index.DocsEnum.docID()

    String projection = null;
    for ( AtomicReaderContext leaf : reader.leaves() ) {
      final AtomicReader atomicReader = leaf.reader();
      final DocsEnum termDocsEnum = atomicReader.termDocsEnum( term );
      while ( termDocsEnum.nextDoc() != DocsEnum.NO_MORE_DOCS ) {
        final int docID = termDocsEnum.docID();
        org.apache.lucene.document.Document document = reader.document( docID );
        String value = document.get( fieldName );
        Assert.assertNull( "duplicate matches found! This method assumes a single document will match the Term.", projection );
        projection = value;
      }

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    // If we're still here, we have a cache miss. We need to fetch the
    // value from disk, and then also put it in the cache:
    int ret = TaxonomyReader.INVALID_ORDINAL;
    DocsEnum docs = MultiFields.getTermDocsEnum(indexReader, null, Consts.FULL, new BytesRef(FacetsConfig.pathToString(cp.components, cp.length)), 0);
    if (docs != null && docs.nextDoc() != DocIdSetIterator.NO_MORE_DOCS) {
      ret = docs.docID();
      
      // we only store the fact that a category exists, not its inexistence.
      // This is required because the caches are shared with new DTR instances
      // that are allocated from doOpenIfChanged. Therefore, if we only store
      // information about found categories, we cannot accidently tell a new

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                return termDocsEnum.nextDoc();
              }
              
              @Override
              public int docID() {
                return termDocsEnum.docID();
              }
              
              @Override
              public int advance(int target) throws IOException {
                assertTrue("queryFirst: "+ queryFirst + " advanced: " + advanceCalled + " next: "+ nextCalled, advanceCalled || nextCalled ^ queryFirst);

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    Analyzer analyzer = new MockAnalyzer(random());
    MemoryIndex memory = new MemoryIndex(random().nextBoolean(),  random().nextInt(50) * 1024 * 1024);
    memory.addField("foo", "bar", analyzer);
    AtomicReader reader = (AtomicReader) memory.createSearcher().getIndexReader();
    DocsEnum disi = TestUtil.docs(random(), reader, "foo", new BytesRef("bar"), null, null, DocsEnum.FLAG_NONE);
    int docid = disi.docID();
    assertEquals(-1, docid);
    assertTrue(disi.nextDoc() != DocIdSetIterator.NO_MORE_DOCS);
    
    // now reuse and check again
    TermsEnum te = reader.terms("foo").iterator(null);

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    // now reuse and check again
    TermsEnum te = reader.terms("foo").iterator(null);
    assertTrue(te.seekExact(new BytesRef("bar")));
    disi = te.docs(null, disi, DocsEnum.FLAG_NONE);
    docid = disi.docID();
    assertEquals(-1, docid);
    assertTrue(disi.nextDoc() != DocIdSetIterator.NO_MORE_DOCS);
    reader.close();
  }

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      int docID;
      while ((docID = docsEnum.nextDoc()) != DocIdSetIterator.NO_MORE_DOCS) {
        //check to see if we don't have an deletions (null) or if document is live
        if (liveDocs != null && !liveDocs.get(docID)) {
          // document is deleted...
          termBitset.set(docsEnum.docID());
        }
      }
      // AND the term's bitset with cluster doc bitset to get the term's in-cluster frequency.
      // This modifies the termBitset, but that's fine as we are not using it anywhere else.
      termBitset.and(clusterDocBitset);

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        while ((docID = docsEnum.nextDoc()) != DocsEnum.NO_MORE_DOCS) {
          df++;
          order.add(docID, valId);
          minID = docID;
          while (docsEnum.nextDoc() != DocsEnum.NO_MORE_DOCS) {
            docID = docsEnum.docID();
            df++;
            order.add(docID, valId);
          }
          maxID = docID;
        }

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        while ((docID = docsEnum.nextDoc()) != DocsEnum.NO_MORE_DOCS) {
          df++;
          order.add(docID, order.get(docID) | bit);
          minID = docID;
          while (docsEnum.nextDoc() != DocsEnum.NO_MORE_DOCS) {
            docID = docsEnum.docID();
            df++;
            order.add(docID, order.get(docID) | bit);
          }
          maxID = docID;
        }

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          df++;
          if (!loader.add(docID, valId)) logOverflow(fieldName);
          minID = docID;
          bitset.fastSet(docID);
          while (docsEnum.nextDoc() != DocsEnum.NO_MORE_DOCS) {
            docID = docsEnum.docID();
            df++;
            if (!loader.add(docID, valId)) logOverflow(fieldName);
            bitset.fastSet(docID);
          }
          maxID = docID;

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          if (!_nestedArray.addData(docID, t)) logOverflow(fieldName);
          minID = docID;
          bitset.fastSet(docID);
          int valId = (t - 1 < negativeValueCount) ? (negativeValueCount - t + 1) : t;
          while (docsEnum.nextDoc() != DocsEnum.NO_MORE_DOCS) {
            docID = docsEnum.docID();
            df++;
            if (!_nestedArray.addData(docID, valId)) logOverflow(fieldName);
            bitset.fastSet(docID);
          }
          maxID = docID;

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