@Test
  public void testDuelAllTypesSingleValue() throws Exception {
    final String mapping =
        XContentFactory.jsonBuilder()
            .startObject()
            .startObject("type")
            .startObject("properties")
            .startObject("bytes")
            .field("type", "string")
            .field("index", "not_analyzed")
            .startObject("fielddata")
            .field("format", LuceneTestCase.defaultCodecSupportsSortedSet() ? "doc_values" : "fst")
            .endObject()
            .endObject()
            .startObject("byte")
            .field("type", "byte")
            .startObject("fielddata")
            .field("format", "doc_values")
            .endObject()
            .endObject()
            .startObject("short")
            .field("type", "short")
            .startObject("fielddata")
            .field("format", "doc_values")
            .endObject()
            .endObject()
            .startObject("integer")
            .field("type", "integer")
            .startObject("fielddata")
            .field("format", "doc_values")
            .endObject()
            .endObject()
            .startObject("long")
            .field("type", "long")
            .startObject("fielddata")
            .field("format", "doc_values")
            .endObject()
            .endObject()
            .startObject("float")
            .field("type", "float")
            .startObject("fielddata")
            .field("format", "doc_values")
            .endObject()
            .endObject()
            .startObject("double")
            .field("type", "double")
            .startObject("fielddata")
            .field("format", "doc_values")
            .endObject()
            .endObject()
            .endObject()
            .endObject()
            .endObject()
            .string();
    final DocumentMapper mapper = mapperService.documentMapperParser().parse(mapping);
    Random random = getRandom();
    int atLeast = scaledRandomIntBetween(1000, 1500);
    for (int i = 0; i < atLeast; i++) {
      String s = Integer.toString(randomByte());

      XContentBuilder doc = XContentFactory.jsonBuilder().startObject();
      for (String fieldName :
          Arrays.asList("bytes", "byte", "short", "integer", "long", "float", "double")) {
        doc = doc.field(fieldName, s);
      }

      doc = doc.endObject();

      final ParsedDocument d = mapper.parse("type", Integer.toString(i), doc.bytes());

      writer.addDocument(d.rootDoc());

      if (random.nextInt(10) == 0) {
        refreshReader();
      }
    }
    AtomicReaderContext context = refreshReader();
    Map<FieldDataType, Type> typeMap = new HashMap<>();
    typeMap.put(
        new FieldDataType("string", ImmutableSettings.builder().put("format", "fst")), Type.Bytes);
    typeMap.put(
        new FieldDataType("string", ImmutableSettings.builder().put("format", "paged_bytes")),
        Type.Bytes);
    typeMap.put(
        new FieldDataType("byte", ImmutableSettings.builder().put("format", "array")),
        Type.Integer);
    typeMap.put(
        new FieldDataType("short", ImmutableSettings.builder().put("format", "array")),
        Type.Integer);
    typeMap.put(
        new FieldDataType("int", ImmutableSettings.builder().put("format", "array")), Type.Integer);
    typeMap.put(
        new FieldDataType("long", ImmutableSettings.builder().put("format", "array")), Type.Long);
    typeMap.put(
        new FieldDataType("double", ImmutableSettings.builder().put("format", "array")),
        Type.Double);
    typeMap.put(
        new FieldDataType("float", ImmutableSettings.builder().put("format", "array")), Type.Float);
    typeMap.put(
        new FieldDataType("byte", ImmutableSettings.builder().put("format", "doc_values")),
        Type.Integer);
    typeMap.put(
        new FieldDataType("short", ImmutableSettings.builder().put("format", "doc_values")),
        Type.Integer);
    typeMap.put(
        new FieldDataType("int", ImmutableSettings.builder().put("format", "doc_values")),
        Type.Integer);
    typeMap.put(
        new FieldDataType("long", ImmutableSettings.builder().put("format", "doc_values")),
        Type.Long);
    typeMap.put(
        new FieldDataType("double", ImmutableSettings.builder().put("format", "doc_values")),
        Type.Double);
    typeMap.put(
        new FieldDataType("float", ImmutableSettings.builder().put("format", "doc_values")),
        Type.Float);
    typeMap.put(
        new FieldDataType("string", ImmutableSettings.builder().put("format", "doc_values")),
        Type.Bytes);
    ArrayList<Entry<FieldDataType, Type>> list = new ArrayList<>(typeMap.entrySet());
    Preprocessor pre = new ToDoublePreprocessor();
    while (!list.isEmpty()) {
      Entry<FieldDataType, Type> left;
      Entry<FieldDataType, Type> right;
      if (list.size() > 1) {
        left = list.remove(random.nextInt(list.size()));
        right = list.remove(random.nextInt(list.size()));
      } else {
        right = left = list.remove(0);
      }

      ifdService.clear();
      IndexFieldData<?> leftFieldData =
          getForField(left.getKey(), left.getValue().name().toLowerCase(Locale.ROOT));
      ifdService.clear();
      IndexFieldData<?> rightFieldData =
          getForField(right.getKey(), right.getValue().name().toLowerCase(Locale.ROOT));
      duelFieldDataBytes(random, context, leftFieldData, rightFieldData, pre);
      duelFieldDataBytes(random, context, rightFieldData, leftFieldData, pre);

      DirectoryReader perSegment = DirectoryReader.open(writer, true);
      CompositeReaderContext composite = perSegment.getContext();
      List<AtomicReaderContext> leaves = composite.leaves();
      for (AtomicReaderContext atomicReaderContext : leaves) {
        duelFieldDataBytes(random, atomicReaderContext, leftFieldData, rightFieldData, pre);
      }
    }
  }