Web Reference: Spark SQL provides spark.read().xml("file_1_path","file_2_path") to read a file or directory of files in XML format into a Spark DataFrame, and dataframe.write().xml("path") to write to a xml file. The rowTag option must be specified to indicate the XML element that maps to a DataFrame row. Apr 11, 2023 · In this article, we have learned about how to use PySpark XML files API to read and write data. Then we can use it to perform various Data Transformations, Data Analysis, Data Science, etc. Oct 18, 2025 · While XML isn’t as straightforward as formats like JSON, the approach we explored demonstrates how easily we can convert XML into JSON-like structures and apply the same processing techniques used for structured data.
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