How can I make the system not interpret my commands with “#” as add comments in yaml file? (Edited)

I need to use the following script in my YAML file to remove specific characters from a file. However, the issue is that the ‘#’ symbol is treated as the beginning of a comment, so the YAML parser does not execute the complete command.

The command I want to execute is:

		
echo $(sed 's/[#\[\],]//g')

Because of YAML syntax, everything after the ‘#’ is interpreted as a comment—even as an inline comment—and the command is not processed correctly. Is there a way to bypass this limitation and correctly pass the command?
I want to ensure that my YAML code remains as clean and readable as possible in our configuration, which is crucial for our CI/CD process in myproject-ci. This is especially important in devops environments where we also use YAML for Kubernetes configurations and even when converting to JSON for data serialization.

Adolph Kolping

6 months ago

5 answers

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Max Ehrich

6 months ago

Edited

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To demystify YAML commenting and nip any documentation doubts in the bud, here’s a concise, battle‑tested guide:

1. Single-line comment in YAML

Comments are denoted by #—any text from # to end‑of‑line is ignored by the parser. Think of them as inline docs:

		
# This is a single-line comment key: value  # This is also an inline comment

2. Multiline comment in YAML

YAML doesn’t ship with C‑style block comments. To cover multiple lines, you simply chain single‑line comments:

		
# This is a multiline comment: # - First line of comment. # - Second line of comment. # - Third line of comment. key: value

Pro tip: hit Ctrl / (Cmd / on Mac) in VS Code or JetBrains IDEs to bulk‑toggle comments in one go.

3. Escaping the '#' character using quotes

When your value includes # (e.g. shell commands), wrap it in quotes so it’s treated as data, not a comment marker:

		
command: "echo $(sed 's/[#\\[\\],]//g')" # or with single quotes outside: command: 'echo $(sed "s/[#\[\],]//g")'

4. Block literal style

For large or multi‑line strings (especially with special chars), use literal (|) or folded (>) scalars. The parser preserves formatting verbatim, making your YAML both precise and readable:

		
task: |   echo $(sed 's/[#\[\],]//g') # or folded: task: >   echo $(sed 's/[#\[\],]//g')

This pattern is a go‑to in DevOps flows (Kubernetes manifests, CI/CD scripts) to keep configs crystal‑clear.

5. Best practices and recommendations

Quote heavy hitters: wrap values with lots of special chars in quotes to avoid parsing surprises.

Use block literals for multi‑line payloads to separate code from comments.

Prefix every comment with #—there’s no true multi‑line comment token.

Lint‑friendly style: stick to spaces (no tabs), consistent indentation (2 spaces), and a space after : (e.g. key: value).

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Aiko Onken

6 months ago

1 comment

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Another method is to wrap the command in quotes and escape the inner special characters. This allows you to write the command on one line without switching to block mode. For example:

		
pipeline_step: - "echo $(sed 's/[#\\[\\],]//g')"

Here, the double quotes encapsulate the command fully, and backslashes (\) escape the square brackets, ensuring there is no ambiguity in the syntax. This approach lets you maintain a compact configuration and is ideal when you prefer a single-line comment style in your YAML file, but it demands careful handling to add comments correctly and maintain proper annotation for multiple lines of commands.

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    Ernst Gottlieb

    6 months ago

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    Although the quoted method works, I recommend the block literal style for more complex commands—it makes the configuration easier to maintain and follow. 

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Johann Wilhelm

6 months ago

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One of the simplest solutions is to use a block literal. When a string is written using the vertical bar (|), YAML preserves all characters—including the '#'—as part of the string rather than treating it as a comment. For example, here is the modified code:

		
task_exec: | echo $(sed 's/[#\[\],]//g')

In this example, the entire command is read correctly by the YAML parser, and the '#' is not recognized as the beginning of a comment. This approach enhances readability and minimizes errors related to escaping characters, which is one of the best practices when you add comments in YAML or use comments in a YAML file.

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    Ernst Gottlieb

    6 months ago

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    Excellent example! Using a block literal is the most reliable method to avoid issues with special characters. This method is better than trying to add comments in YAML as block comments, since YAML doesn't support true multi-line comments.

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FAQ

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What practices should be followed when using YAML?

When you use YAML, adopting best practices such as using clear annotations is essential for understanding YAML comments and ensuring maintainability. Treat your YAML like code: stick to consistent indentation (no tabs), leverage anchors & aliases to DRY up repetitive blocks, and validate configurations against optional schemas. Sprinkle inline comments to shed light on complex settings, keep your files lint‑friendly, and make onboarding new teammates a breeze.

Why is YAML preferred in applications requiring precision?

YAML is often used where precision is paramount because YAML is a human-readable language that makes documentation easier and is at the heart of deterministic parsing. You might choose to use a YAML file to define configuration settings, infrastructure as code, or workflows in a clear and structured way—tapping into anchors and aliases for DRY patterns and optional schema validation for pre‐flight checks.

How does YAML handle indentation and whitespace?

YAML is sensitive to whitespace, and indentation determines structure - it does not accept tabs for indentation, so stick to whitespace to avoid cryptic parsing errors. YAML only supports spaces. Empty lines are ignored by the YAML parser, but they act as natural breathers, improving scanability. Pro tip: pick a consistent indent width (2 spaces is the de facto standard), never mix tabs and spaces, and trim any trailing whitespace. Also, remember to put a space after each colon (key: value) and use the dash-plus-space pattern (- item) for lists. Following these formatting rules keeps your configs lint‑friendly, readable, and free of subtle flow‑control gotchas.

What are best practices for commenting in complex YAML config?

If you want to comment on a complex configuration, ensure that every line in your documentation is clear and purposeful. Well-placed comment lines can simplify even the most intricate setups. It is advisable to add comments in a YAML when updating settings. You can always add a comment at the end of a line to clarify parameters, and inline comments in YAML offer brief explanations.

How can you handle multi-line comments in YAML?

YAML does not support inline block comments — it only supports single-line comments. If you want comments for multiple lines, you must prefix each line individually with #, chaining single-line comments across consecutive lines. Pro tip: leverage your editor’s bulk‑toggle comment (e.g. Ctrl / in VS Code or Cmd / in JetBrains) to batch‑insert # in one shot. Although YAML lacks built-in yaml block comments, you can mimic a support block by wrapping your notes in a block scalar (| or >) to preserve formatting and treat it like an embedded doc. These little hacks keep your configs self‑documenting, lint‑friendly, and review‑ready.

Why is it important to comment effectively in YAML?

Take the time to learn how to comment effectively in YAML, as it is an essential step toward mastering the basics of YAML and crafting self‑documenting, lint‑friendly configs. Always write comments in YAML — even a single line can boost clarity and serve as inline docs. Use comments in YAML wisely since comments should be used to enhance maintainability and act as contextual breadcrumbs that make your config review‑ready. Ensure you create YAML files with clear comments for easier long‑term support and smooth team onboarding.

What types of comments can be used in YAML files, and why is YAML commonly preferred for configuration files?

YAML supports only single line comments (prefixed with #), but you can chain related lines into logical blocks or leverage your IDE’s bulk‑toggle shortcut to comment out chunks in one go. There are various types of comments available, and YAML is a cornerstone for configuration files and data exchange. In fact, there are many ways to add annotations; ensure that each line of the comment is clear and each section of code is appropriately documented. YAML format is often used for configuration files because of these practices: its whitespace‑sensitive, human‑friendly syntax reads like prose, built‑in anchors and aliases help you DRY‑up repetitive patterns, and its lint‑friendly, self‑documenting nature makes config diffs and reviews a breeze.

How to comment multiple lines in YAML?

If you need to address multiple lines in YAML, remember that YAML only allows single line comments, meaning each must be added individually. To comment out multiple lines, you’ll need to prefix each line with # manually, as there is no native block comment syntax. For a smoother dev workflow, leverage your IDE’s bulk‑toggle comment shortcut (e.g. Ctrl / in VS Code or Cmd / in JetBrains) to batch‑insert # and keep your config lint‑friendly and review‑ready..

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Should comments in YAML be independent or can they build on previous comments?

Comments shouldn’t become an avalanche — adding too many comments can obscure your config rather than clarify it  — but strategically placed notes boost readability and maintainability. Think of the first comment # line as your file’s headline or mini‐README, laying the groundwork so downstream comments can riff off that context and keep your YAML review‐ready and self‐documenting.

Are comments necessary in YAML?

Remember that you should always include comments to your YAML files to clarify the purpose of each configuration item. When you work with extensive customizations, dealing with complex YAML data becomes easier, because YAML is a popular data manipulation tool among developers. Although YAML lacks a native syntax for block comments, understanding similar conventions in other languages can improve the overall use of comments in your projects. For instance, when editing with Visual Studio Code, you can quickly insert consecutive single-line comments to document configuration details without cluttering the file.

What data types does YAML support?

YAML supports various data types — including strings, numbers, lists, and dictionaries — which makes it versatile enough to handle complex scenarios. Furthermore, effective commenting in YAML files is essential; it ensures that every section of code is well documented. In fact, YAML is widely recognized as the format used for config files in many modern systems. It is also essential for config files and sharing data in distributed architectures.

What are the main features of YAML?

One of the key strengths of YAML is its simplicity of syntax — a lightweight, whitespace‑sensitive DSL that’s essentially boilerplate‑free. YAML uses indentation to denote nested structures, providing an intuitive representation of YAML data and creating a breadcrumb trail through your files. This approach improves overall readability and maintainability and allows for consecutive single-line comments to create clear annotations throughout the file. Developers are encouraged to write clear comment lines that explain the purpose behind configuration decisions, turning each YAML file into a self‑documenting, lint‑friendly asset in your toolchain.

What is YAML?

YAML (YAML Ain't Markup Language) is a friendly for human data serialization format (DSL) that has become the basis for modern configuration-as-code. . Its whitespace‑sensitive, indentation‑driven syntax makes complex nested structures feel as natural as reading prose, while built‑in anchors and aliases let you DRY‑up repetitive blocks for true reuse. In practice, yaml files used across infrastructure as code, CI/CD pipelines and application settings deliver predictable, version‑controlled configs that teams can review and iterate on with confidence. And because you can layer in optional schema validation or JSON Schema hooks, it’s easy to catch typos and type mismatches before they ever hit production.