pyspark.sql.streaming.DataStreamReader.text¶

DataStreamReader.text(path: str, wholetext: bool = False, lineSep: Optional[str] = None, pathGlobFilter: Union[bool, str, None] = None, recursiveFileLookup: Union[bool, str, None] = None) → DataFrame[source]¶

Loads a text file stream and returns a 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.

New in version 2.0.0.

Parameters

pathstr or list: string, or list of strings, for input path(s).

Other Parameters

Extra options: For the extra options, refer to Data Source Option in the version you use.

Notes

This API is evolving.

Examples

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

pyspark.sql.streaming.DataStreamReader.table pyspark.sql.streaming.DataStreamWriter.foreach