Parsing XML data with Apache Spark

Reading XML data is a common task in big data processing, and Apache Spark provides several options for reading and processing XML data. In this recipe, we will explore how to read XML data with Apache Spark using the built-in XML data source. We will also cover some common issues faced while working with JSON data and how to solve them. Finally, we will cover some common tasks in data engineering with JSON data.

Note

We also need to install the spark-xml package on our cluster. The spark-xml package is a third-party library for Apache Spark released by Databricks. The package enables the processing of XML data in Spark applications and provides the ability to read and write XML files using the Spark DataFrame API, which makes it easy to integrate with other Spark components and perform complex data analysis tasks. We can install the package by running the following command:

$SPARK_HOME/bin/spark-shell –packages com.databricks:spark...