def text(self, path, wholetext=False, lineSep=None):
        """
        Loads a text file stream and returns a :class:`DataFrame` whose schema starts with a
        string column named "value", and followed by partitioned columns if there
        are any.
        The text files must be encoded as UTF-8.

        By default, each line in the text file is a new row in the resulting DataFrame.

        .. note:: Evolving.

        :param paths: string, or list of strings, for input path(s).
        :param wholetext: if true, read each file from input path(s) as a single row.
        :param lineSep: defines the line separator that should be used for parsing. If None is
                        set, it covers all ``\\r``, ``\\r\\n`` and ``\\n``.

        >>> text_sdf = spark.readStream.text(tempfile.mkdtemp())
        >>> text_sdf.isStreaming
        True
        >>> "value" in str(text_sdf.schema)
        True
        """
        self._set_opts(wholetext=wholetext, lineSep=lineSep)
        if isinstance(path, basestring):
            return self._df(self._jreader.text(path))
        else:
            raise TypeError("path can be only a single string")
Loads a text file stream and returns a :class:`DataFrame` whose schema starts with a
        string column named "value", and followed by partitioned columns if there
        are any.
        The text files must be encoded as UTF-8.

        By default, each line in the text file is a new row in the resulting DataFrame.

        .. note:: Evolving.

        :param paths: string, or list of strings, for input path(s).
        :param wholetext: if true, read each file from input path(s) as a single row.
        :param lineSep: defines the line separator that should be used for parsing. If None is
                        set, it covers all ``\\r``, ``\\r\\n`` and ``\\n``.

        >>> text_sdf = spark.readStream.text(tempfile.mkdtemp())
        >>> text_sdf.isStreaming
        True
        >>> "value" in str(text_sdf.schema)
        True