pyspark.sql.streaming.DataStreamReader.orc¶

DataStreamReader.orc(path, mergeSchema=None, pathGlobFilter=None, recursiveFileLookup=None)[source]¶

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

New in version 2.3.0.

Parameters:

mergeSchemastr or bool, optional: sets whether we should merge schemas collected from all ORC part-files. This will override spark.sql.orc.mergeSchema. The default value is specified in spark.sql.orc.mergeSchema.
pathGlobFilterstr or bool, optional: an optional glob pattern to only include files with paths matching the pattern. The syntax follows org.apache.hadoop.fs.GlobFilter. It does not change the behavior of partition discovery.
recursiveFileLookupstr or bool, optional: recursively scan a directory for files. Using this option disables partition discovery. # noqa

Examples

>>> orc_sdf = spark.readStream.schema(sdf_schema).orc(tempfile.mkdtemp())
>>> orc_sdf.isStreaming
True
>>> orc_sdf.schema == sdf_schema
True