xml (DataStreamReader)

Loads an XML file stream and returns the result as a DataFrame. If schema is not specified, the input schema is inferred from the data.

Syntax

xml(path, schema=None, **options)

Parameters

Parameter	Type	Description
path	str	Path for the XML input.
schema	StructType or str, optional	Schema as a StructType or DDL-formatted string (for example, col0 INT, col1 DOUBLE).

Returns

DataFrame

Examples

Write a DataFrame to XML and read it back as a stream:

import tempfile
import time
with tempfile.TemporaryDirectory(prefix="xml") as d:
    spark.createDataFrame(
        [{"age": 100, "name": "Hyukjin Kwon"}]
    ).write.mode("overwrite").option("rowTag", "person").xml(d)
    q = spark.readStream.schema(
        "age INT, name STRING"
    ).xml(d, rowTag="person").writeStream.format("console").start()
    time.sleep(3)
    q.stop()