pyspark.sql.streaming.DataStreamReader.parquet¶
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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¶ Loads a Parquet file stream, returning the result as a
DataFrame.- 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