How to use

org.apache.parquet.column.statistics.FloatStatistics

constructor

 @Override
 public FloatStatistics copy() {
  return new FloatStatistics(this);
 }
}

 @Override
 public FloatStatistics copy() {
  return new FloatStatistics(this);
 }
}

private static FloatStatistics floatColumnStats(float minimum, float maximum)
{
  FloatStatistics statistics = new FloatStatistics();
  statistics.setMinMax(minimum, maximum);
  return statistics;
}

/**
 * Returns the typed statistics object based on the passed type parameter
 * @param type PrimitiveTypeName type of the column
 * @return instance of a typed statistics class
 * @deprecated Use {@link #createStats(Type)} instead
 */
@Deprecated
public static Statistics getStatsBasedOnType(PrimitiveTypeName type) {
 switch (type) {
  case INT32:
   return new IntStatistics();
  case INT64:
   return new LongStatistics();
  case FLOAT:
   return new FloatStatistics();
  case DOUBLE:
   return new DoubleStatistics();
  case BOOLEAN:
   return new BooleanStatistics();
  case BINARY:
   return new BinaryStatistics();
  case INT96:
   return new BinaryStatistics();
  case FIXED_LEN_BYTE_ARRAY:
   return new BinaryStatistics();
  default:
   throw new UnknownColumnTypeException(type);
 }
}

/**
 * Returns the typed statistics object based on the passed type parameter
 * @param type PrimitiveTypeName type of the column
 * @return instance of a typed statistics class
 * @deprecated Use {@link #createStats(Type)} instead
 */
@Deprecated
public static Statistics getStatsBasedOnType(PrimitiveTypeName type) {
 switch (type) {
  case INT32:
   return new IntStatistics();
  case INT64:
   return new LongStatistics();
  case FLOAT:
   return new FloatStatistics();
  case DOUBLE:
   return new DoubleStatistics();
  case BOOLEAN:
   return new BooleanStatistics();
  case BINARY:
   return new BinaryStatistics();
  case INT96:
   return new BinaryStatistics();
  case FIXED_LEN_BYTE_ARRAY:
   return new BinaryStatistics();
  default:
   throw new UnknownColumnTypeException(type);
 }
}

/**
 * Creates an empty {@code Statistics} instance for the specified type to be
 * used for reading/writing the new min/max statistics used in the V2 format.
 *
 * @param type
 *          type of the column
 * @return instance of a typed statistics class
 */
public static Statistics<?> createStats(Type type) {
 PrimitiveType primitive = type.asPrimitiveType();
 switch (primitive.getPrimitiveTypeName()) {
  case INT32:
   return new IntStatistics(primitive);
  case INT64:
   return new LongStatistics(primitive);
  case FLOAT:
   return new FloatStatistics(primitive);
  case DOUBLE:
   return new DoubleStatistics(primitive);
  case BOOLEAN:
   return new BooleanStatistics(primitive);
  case BINARY:
  case INT96:
  case FIXED_LEN_BYTE_ARRAY:
   return new BinaryStatistics(primitive);
  default:
   throw new UnknownColumnTypeException(primitive.getPrimitiveTypeName());
 }
}

/**
 * Creates an empty {@code Statistics} instance for the specified type to be
 * used for reading/writing the new min/max statistics used in the V2 format.
 *
 * @param type
 *          type of the column
 * @return instance of a typed statistics class
 */
public static Statistics<?> createStats(Type type) {
 PrimitiveType primitive = type.asPrimitiveType();
 switch (primitive.getPrimitiveTypeName()) {
  case INT32:
   return new IntStatistics(primitive);
  case INT64:
   return new LongStatistics(primitive);
  case FLOAT:
   return new FloatStatistics(primitive);
  case DOUBLE:
   return new DoubleStatistics(primitive);
  case BOOLEAN:
   return new BooleanStatistics(primitive);
  case BINARY:
  case INT96:
  case FIXED_LEN_BYTE_ARRAY:
   return new BinaryStatistics(primitive);
  default:
   throw new UnknownColumnTypeException(primitive.getPrimitiveTypeName());
 }
}