pyspark.sql.streaming.DataStreamReader.parquet¶

DataStreamReader.parquet(path: str, mergeSchema: Optional[bool] = None, pathGlobFilter: Union[bool, str, None] = None, recursiveFileLookup: Union[bool, str, None] = None, datetimeRebaseMode: Union[bool, str, None] = None, int96RebaseMode: Union[bool, str, None] = None) → DataFrame[source]¶

Loads a Parquet file stream, returning the result as a DataFrame.

New in version 2.0.0.

Parameters

pathstr: the path in any Hadoop supported file system

Other Parameters

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

Examples

>>> parquet_sdf = spark.readStream.schema(sdf_schema).parquet(tempfile.mkdtemp())
>>> parquet_sdf.isStreaming
True
>>> parquet_sdf.schema == sdf_schema
True

pyspark.sql.streaming.DataStreamReader.orc pyspark.sql.streaming.DataStreamReader.schema