> 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/table-output.md).

# Table Output

The Table Output step loads data into a database table. The Table Output step is equivalent to the SQL operator `INSERT` and is a solution when you only need to insert records. If you just want to update rows, you should use the [Update](https://pentaho-community.atlassian.net/wiki/spaces/EAI/pages/371558127/Update) step. To perform both `INSERT` and `UPDATE` commands, see the [Insert/Update](https://pentaho-community.atlassian.net/wiki/spaces/EAI/pages/371558126/Insert+-+Update) step.

This step provides configuration options for a target table and performance-related options such as **Commit size** and **Use batch update for inserts**. There are performance settings specific to a database type that can be set within the database connection JDBC properties. Refer to your database documentation for specific JDBC performance settings. See also [Special database issues and experiences](https://pentaho-community.atlassian.net/wiki/spaces/EAI/pages/365396524/Special+database+issues+and+experiences).

**Note:** If you insert a record into a database table that has identity columns, the JDBC driver returns the auto-generated key it uses when performing the insert. This is not supported on all database types.


---

# 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 by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

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

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

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.
