Examples of org.apache.lucene.util.encoding.DGapIntEncoder

org.apache.lucene.util.encoding.DGapIntEncoder
An {@link IntEncoderFilter} which encodes the gap between the given values,rather than the values themselves. This encoder usually yields better encoding performance space-wise (i.e., the final encoded values consume less space) if the values are 'close' to each other.
NOTE: this encoder assumes the values are given to {@link #encode(int)} in an ascending sorted manner, which ensures onlypositive values are encoded and thus yields better performance. If you are not sure whether the values are sorted or not, it is possible to chain this encoder with {@link SortingIntEncoder} to ensure the values will besorted before encoding. @lucene.experimental


  @Test
  public void testPayloadIntDecodingIterator() throws Exception {
    Directory dir = newDirectory();
    DataTokenStream dts = new DataTokenStream("1",new SortingIntEncoder(
        new UniqueValuesIntEncoder(new DGapIntEncoder(new VInt8IntEncoder()))));
    RandomIndexWriter writer = new RandomIndexWriter(random, dir, newIndexWriterConfig(TEST_VERSION_CURRENT, 
        new MockAnalyzer(random, MockTokenizer.KEYWORD, false)).setMergePolicy(newLogMergePolicy()));
    for (int i = 0; i < data.length; i++) {
      dts.setIdx(i);
      Document doc = new Document();

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   */
  @Test
  public void testPayloadIteratorWithInvalidDoc() throws Exception {
    Directory dir = newDirectory();
    DataTokenStream dts = new DataTokenStream("1",new SortingIntEncoder(
        new UniqueValuesIntEncoder(new DGapIntEncoder(new VInt8IntEncoder()))));
    // this test requires that no payloads ever be randomly present!
    final Analyzer noPayloadsAnalyzer = new Analyzer() {
      @Override
      public TokenStream tokenStream(String fieldName, Reader reader) {
        return new MockTokenizer(reader, MockTokenizer.KEYWORD, false);

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