How can I specify the row tag when reading XML files in Databricks?
To specify the row tag when reading XML files in Databricks, you can use the `rowTag` option as part of the XML options. Here's an example of how you can use it:
```python
df = spark.read.format("xml") \
   .option("rowTag", "book") \
   .load("/path/to/your/xml/files")
```
In this example, the `rowTag` option is set to `"book"`, which means that each `<book>` element in the XML files will be treated as a row in the resulting DataFrame. Make sure to replace `"/path/to/your/xml/files"` with the actual path to your XML files in Databricks.

Note that the `rowTag` option is required when reading XML files in Databricks, and it should be set to the tag that encloses the data you want to read as rows in the DataFrame.