Esempio n. 1
0
    @Override
    public FieldValue evaluate(List<FieldValue> values) {
      StorelessUnivariateStatistic statistic = createStatistic();

      DataType dataType = null;

      for (FieldValue value : values) {

        // "Missing values in the input to an aggregate function are simply ignored"
        if (value == null) {
          continue;
        }

        statistic.increment((value.asNumber()).doubleValue());

        if (dataType != null) {
          dataType = TypeUtil.getResultDataType(dataType, value.getDataType());
        } else {
          dataType = value.getDataType();
        }
      }

      if (statistic.getN() == 0) {
        throw new MissingResultException(null);
      }

      Object result = cast(getResultType(dataType), statistic.getResult());

      return FieldValueUtil.create(result);
    }
Esempio n. 2
0
    @Override
    public FieldValue evaluate(List<FieldValue> values) {

      if (values.size() != 2) {
        throw new EvaluationException();
      }

      FieldValue left = values.get(0);
      FieldValue right = values.get(1);

      // "If one of the input fields of a simple arithmetic function is a missing value, the result
      // evaluates to missing value"
      if (left == null || right == null) {
        return null;
      }

      DataType dataType = TypeUtil.getResultDataType(left.getDataType(), right.getDataType());

      Number result;

      try {
        result = evaluate(left.asNumber(), right.asNumber());
      } catch (ArithmeticException ae) {
        throw new InvalidResultException(null);
      }

      return FieldValueUtil.create(cast(dataType, result));
    }