> For the complete documentation index, see [llms.txt](https://docs.pentaho.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.pentaho.com/pdia-data-integration/9.3-data-integration/pdi-transformation-steps-reference-overview/etl-metadata-injection/example-etl-metadata-injection-step/results-etl-metadata-injection-step-example.md).

# Results

You run the entire process for all the supplier file by running the `01_process_all_suppliers` transformation, which calls the `02_process_supplier` transformation for each supplier input file. The `02_process_supplier` transformation then calls the template `03_process_supplier_file` transformation through the ETL metadata injection step.

Perform the following steps to run this example:

1. In PDI, open the `01_process_all_suppliers.ktr` file found in the `metadata-injection-example/transformation` folder.
2. Run the `01_process_all_suppliers` transformation.
3. Examine the `processed_data_{today’s date}.txt` file in the `metadata-injection-example/data/out` folder and the `log_{timestamp}.txt` file in the `metadata-injection-example/logging` folder.

These transformations create a single source text output file in the `metadata-injection-example/data/out` folder. The logs generated by the `01_process_all_suppliers` transformation are in the `metadata-injection-example/logging` folder.

The output text file contains values from the input files for the following common values:

* Transaction date
* Transaction invoice number
* Net value of the transaction
* Currency used in the transaction


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://docs.pentaho.com/pdia-data-integration/9.3-data-integration/pdi-transformation-steps-reference-overview/etl-metadata-injection/example-etl-metadata-injection-step/results-etl-metadata-injection-step-example.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.