how to parse XML using glue

Question

Hi Everyone

I have multiple xml files and I'm leveraging glue job to parse those xml and convert into table that I can use it later on. I tried creating grok classifier and xml classifier but somehow glue is not able to deduct the schema.

sample xml

I tried playing around with multiple value as rowtag(xml classifier) but it didn't help

re:Post Agent · Answer

To parse XML files using AWS Glue, you have a few options:

1. Using AWS Glue's built-in XML support:
   AWS Glue provides native support for reading XML files. You can use the DynamicFrame API with the XML format option. The key is to specify the correct 'rowTag' that identifies each record in your XML structure. For your sample XML, you might try using "d:e" or "d:i" as the rowTag, depending on what you consider a single record.

Example code snippet:
   ```python
   dynamic_frame = glueContext.create_dynamic_frame.from_options(
       connection_type="s3",
       connection_options={"paths": ["s3://your-bucket/path"]},
       format="xml",
       format_options={
           "rowTag": "d:e"
       }
   )
   ```

2. Using the Relationalize transform:
   If your XML structure is deeply nested, you can use the Relationalize transform to flatten the structure into multiple related tables. This approach can be particularly useful for complex XML schemas.

```python
   from awsglue.transforms import Relationalize
   
   dfc = Relationalize.apply(frame = dynamic_frame, staging_path = "s3://path/to/staging/dir")
   ```

3. Manually specifying the schema:
   If AWS Glue is having trouble inferring the schema, you can manually specify it using the 'withSchema' option. This requires you to define the schema structure in advance.

```python
   schema = "your_schema_definition_here"
   dynamic_frame = glueContext.create_dynamic_frame.from_options(
       connection_type="s3",
       connection_options={"paths": ["s3://your-bucket/path"]},
       format="xml",
       format_options={
           "rowTag": "d:e",
           "withSchema": schema
       }
   )
   ```

If you're still having trouble, you might need to preprocess your XML files to simplify their structure or remove namespace declarations that could be causing issues with parsing.

Remember to adjust the rowTag and other parameters based on your specific XML structure and requirements. You may need to experiment with different approaches to find the one that works best for your particular XML format.  
**Sources**  
[Using the XML format in AWS Glue - AWS Glue](https://docs.aws.amazon.com/glue/latest/dg/aws-glue-programming-etl-format-xml-home.html)  
[Community | Nested XML Processing - AWS Glue with DynamicFrames, Relationalize, and Databricks Spark-XML](https://community.aws/content/2fzwwsuFhTN2fyNyqMFQF02bzN5/nested-xml-processing---aws-glue-with-dynamicframes-relationalize-and-databricks-spark-xml)  
[Converting semi-structured schemas to relational schemas with AWS Glue - AWS Glue](https://docs.aws.amazon.com/glue/latest/dg/schema-relationalize.html)

how to parse XML using glue

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