> For the complete documentation index, see [llms.txt](https://docs.tonic.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.tonic.ai/app/generation/generators/generator-reference/hostname.md). # Hostname Generates random host names, based on the English language. ## Characteristics


Consistency	Yes, can be made self-consistent or consistent with another column.
Linking	No, cannot be linked.
Differential privacy	Yes, if consistency is not enabled.
Data-free	Yes, if consistency is not enabled.
Allowed for primary keys	No
Allowed for unique columns	No
Uses format-preserving encryption (FPE)	No
Privacy ranking	1 if not consistent 4 if consistent
Generator ID (for the API)	`HostnameGenerator`

## How to configure To configure the generator, toggle the **Consistency** setting to indicate whether to make the generator consistent. By default, the generator is not consistent. If you enable consistency, then by default the generator is self-consistent. To make the generator consistent with another column, from **Consistent to**, select the column. When the generator is consistent with itself, then a given value in the source database is mapped to the same value in the destination database. For example, Host123 in the source database always produces MyHostABC in the destination database. When the generator is consistent with another column, then a given source value in the other column results in the same host name value in the destination database. For example, a host name column is consistent with a department column. Every instance of Sales in the source data is given the same host name in the destination database. If [Structural data encryption](/app/generation/generators-assign-config/generators-data-encryption-config.md) is enabled, then to use it for this column, in the advanced options section, toggle **Use data encryption process** to the on position. --- # 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.tonic.ai/app/generation/generators/generator-reference/hostname.md?ask=&goal= ``` `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.