# Catalog Output

Use the Catalog Output step to encode CSV text file types or Parquet data formats using the schema defined in PDI to create a new resource or to replace or update an existing resource in Pentaho Data Catalog. Metadata can be added. The data is saved in the selected Hadoop or S3 ecosystem and registered as a resource in Data Catalog.

You must have role permissions in Data Catalog to write the data resources. If a new data resource is created, it must be [profiled](https://docs2019.waterlinedata.com/2019.3/user_guide/overview.html#format-discovery) by Data Catalog to be recognized and available for use.

For more information about accessing Pentaho Data Catalog in PDI, see [PDI and Data Catalog](/pdia-data-integration/9.3-data-integration/advanced-topics-pentaho-data-integration-overview/pdi-and-lumada-data-catalog-ldc.md).

**Note:** This step is supported on the PDI engine but not on the Spark engine. Only CSV text files and Parquet data formats are currently supported.


---

# Agent Instructions: 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:

```
GET https://docs.pentaho.com/pdia-data-integration/9.3-data-integration/pdi-transformation-steps-reference-overview/catalog-output.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
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.