xml (DataFrameWriter)

Saves the content of the DataFrame in XML format at the specified path.

Syntax

xml(path, rowTag=None, mode=None, attributePrefix=None, valueTag=None,
    rootTag=None, declaration=None, arrayElementName=None, nullValue=None,
    dateFormat=None, timestampFormat=None, compression=None, encoding=None,
    validateName=None)

Parameters

Parameter	Type	Description
path	str	The path in any Hadoop-supported file system.
mode	str, optional	The behavior when data already exists. Accepted values are 'append', 'overwrite', 'ignore', and 'error' or 'errorifexists' (default).

Returns

None

Examples

Write a DataFrame into an XML file and read it back.

Python

import tempfile
with tempfile.TemporaryDirectory(prefix="xml") as d:
    spark.createDataFrame(
        [{"age": 100, "name": "Alice"}]
    ).write.mode("overwrite").option("rowTag", "person").xml(d)

    spark.read.option("rowTag", "person").format("xml").load(d).show()
    # +---+------------+
    # |age|        name|
    # +---+------------+
    # |100|Alice|
    # +---+------------+