> For the complete documentation index, see [llms.txt](https://cxz.gitbook.io/spring-cloud-date-flow/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://cxz.gitbook.io/spring-cloud-date-flow/shell/shell-options.md).

# Shell Options

shell 是基于 [Spring Shell ](https://projects.spring.io/spring-shell/)项目构建的。Spring Shell 和 Data Flow 的命令行有些选项是通用的。shell 的命令行选项如下：

```
unix:>java -jar spring-cloud-dataflow-shell-2.1.0.RELEASE.jar --help
Data Flow Options:
  --dataflow.uri=                              Address of the Data Flow Server [default: http://localhost:9393].
  --dataflow.username=                        Username of the Data Flow Server [no default].
  --dataflow.password=                    Password of the Data Flow Server [no default].
  --dataflow.credentials-provider-command= Executes an external command which must return an
                                                    OAuth Bearer Token (Access Token prefixed with 'Bearer '),
                                                    e.g. 'Bearer 12345'), [no default].
  --dataflow.skip-ssl-validation=       Accept any SSL certificate (even self-signed) [default: no].
  --dataflow.proxy.uri=                  Address of an optional proxy server to use [no default].
  --dataflow.proxy.username=        Username of the proxy server (if required by proxy server) [no default].
  --dataflow.proxy.password=        Password of the proxy server (if required by proxy server) [no default].
  --spring.shell.historySize=                 Default size of the shell log file [default: 3000].
  --spring.shell.commandFile=                 Data Flow Shell executes commands read from the file(s) and then exits.
  --help                                            This message.
```

`spring.shell.commandFile` 选项可用于指向一个现有文件，文件中包含部署一个或多个相关的流和任务的 shell 命令。\
还支持执行多个文件，它们应该以逗号分隔的字符串传递：\
`--spring.shell.commandFile=file1.txt,file2.txt`在创建一些脚本或者自动部署时，会提供很大的帮助。

此外，以下shell命令可以将复杂脚本模块化，拆解为多个独立文件：`dataflow:>script --file <YOUR_AWESOME_SCRIPT>`


---

# 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:

```
GET https://cxz.gitbook.io/spring-cloud-date-flow/shell/shell-options.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.