Package io.druid.segment.column

Examples of io.druid.segment.column.ValueType

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      forwardDimWriters.add(writer);
    }

    ArrayList<MetricColumnSerializer> metWriters = Lists.newArrayListWithCapacity(mergedMetrics.size());
    for (String metric : mergedMetrics) {
      ValueType type = valueTypes.get(metric);
      switch (type) {
        case LONG:
          metWriters.add(new LongMetricColumnSerializer(metric, v8OutDir, ioPeon));
          break;
        case FLOAT:
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      this.rowTransformers.add(new SpatialDimensionRowTransformer(spatialDimensions));
    }

    this.columnCapabilities = Maps.newHashMap();
    for (Map.Entry<String, String> entry : metricTypes.entrySet()) {
      ValueType type;
      if (entry.getValue().equalsIgnoreCase("float")) {
        type = ValueType.FLOAT;
      } else if (entry.getValue().equalsIgnoreCase("long")) {
        type = ValueType.LONG;
      } else {
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                        return null;
                      }

                      if (cachedColumnVals instanceof GenericColumn) {
                        final GenericColumn columnVals = (GenericColumn) cachedColumnVals;
                        final ValueType type = columnVals.getType();

                        if (columnVals.hasMultipleValues()) {
                          throw new UnsupportedOperationException(
                              "makeObjectColumnSelector does not support multivalued GenericColumns"
                          );
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  {
    final String section = String.format("make column[%s]", metric);
    progress.startSection(section);

    final ColumnDescriptor.Builder metBuilder = ColumnDescriptor.builder();
    ValueType type = valueTypes.get(metric);

    switch (type) {
      case FLOAT: {
        metBuilder.setValueType(ValueType.FLOAT);
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    for (String columnName : index.getColumnNames()) {
      final Column column = index.getColumn(columnName);
      final ColumnCapabilities capabilities = column.getCapabilities();

      final ColumnAnalysis analysis;
      final ValueType type = capabilities.getType();
      switch(type) {
        case LONG:
          analysis = analyzeLongColumn(column);
          break;
        case FLOAT:
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            final Indexed<String> availableMetrics = getMetricNames();
            metrics = new Object[availableMetrics.size()];
            for (int i = 0; i < metrics.length; ++i) {
              final Column column = input.getColumn(availableMetrics.get(i));
              final ValueType type = column.getCapabilities().getType();
              switch (type) {
                case FLOAT:
                case LONG:
                  metrics[i] = column.getGenericColumn();
                  break;
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  @Override
  public String getMetricType(String metric)
  {
    final Column column = input.getColumn(metric);

    final ValueType type = column.getCapabilities().getType();
    switch (type) {
      case FLOAT:
        return "float";
      case LONG:
        return "long";
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Related Classes of io.druid.segment.column.ValueType

  • io.druid.query.metadata.SegmentAnalyzer
  • io.druid.segment.incremental.IncrementalIndex
  • io.druid.segment.IndexMaker
  • io.druid.segment.IndexMerger
  • io.druid.segment.QueryableIndexIndexableAdapter
  • io.druid.segment.QueryableIndexStorageAdapter$CursorSequenceBuilder
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