private static Object serialToJdbc()

in core/src/main/java/org/apache/calcite/avatica/remote/TypedValue.java [329:372]
41 lines of code
14 McCabe index (conditional complexity)

  private static Object serialToJdbc(ColumnMetaData.Rep type, ColumnMetaData.Rep componentRep,
      Object value, Calendar calendar) {
    switch (type) {
    case BYTE_STRING:
      return ByteString.ofBase64((String) value).getBytes();
    case JAVA_UTIL_DATE:
      return DateTimeUtils.unixTimestampToUtilDate((Long) value, calendar);
    case JAVA_SQL_DATE:
      return DateTimeUtils.unixDateToSqlDate((Integer) value, calendar);
    case JAVA_SQL_TIME:
      return DateTimeUtils.unixTimeToSqlTime((Integer) value, calendar);
    case JAVA_SQL_TIMESTAMP:
      return DateTimeUtils.unixTimestampToSqlTimestamp((Long) value, calendar);
    case ARRAY:
      if (null == value) {
        return null;
      }
      final List<?> list = (List<?>) value;
      final List<Object> copy = new ArrayList<>(list.size());
      // Copy the list from the serial representation to a JDBC representation
      for (Object o : list) {
        if (null == o) {
          copy.add(null);
        } else if (o instanceof TypedValue) {
          // Protobuf can maintain the TypedValue hierarchy to simplify things
          copy.add(((TypedValue) o).toJdbc(calendar));
        } else {
          // We can't get the above recursion with the JSON serialization
          copy.add(serialToJdbc(componentRep, null, o, calendar));
        }
      }
      if (componentRep == null && list.size() > 0) {
        componentRep = ((TypedValue) list.get(0)).type;
        if (componentRep == null) {
          throw new RuntimeException("ComponentRep of element must not be null for ARRAYs");
        }
      }
      AvaticaType elementType = new AvaticaType(componentRep.typeId, componentRep.name(),
          componentRep);
      return new ArrayFactoryImpl(calendar.getTimeZone()).createArray(elementType, copy);
    default:
      return serialToLocal(type, value);
    }
  }