YAML, a human-readable data serialization format, provides support for binary data representation. This feature allows developers to include non-textual information within YAML documents.
Binary data in YAML is typically encoded using Base64 encoding. This process converts binary content into a text-based format that can be safely included in YAML files.
To represent binary data in YAML, use the !!binary
tag followed by the Base64-encoded string. Here's a basic example:
binary_data: !!binary SGVsbG8sIFlBTUwh
In this example, "SGVsbG8sIFlBTUwh" is the Base64-encoded representation of "Hello, YAML!"
Binary data support in YAML is particularly useful for:
When working with binary data in YAML, consider the following best practices:
Here's an example of embedding a small image in a YAML file:
logo:
name: company_logo.png
content: !!binary |
iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAACklEQVR4nGMAAQAABQABDQottAAAAABJRU5ErkJggg==
This example includes a Base64-encoded 1x1 pixel PNG image.
When parsing YAML with binary data, ensure your parser supports the !!binary
tag. Most YAML libraries automatically handle binary data decoding.
Here's how you might parse YAML with binary data using Python:
import yaml
import base64
yaml_data = """
binary_content: !!binary SGVsbG8sIFlBTUwh
"""
parsed_data = yaml.safe_load(yaml_data)
decoded_data = base64.b64decode(parsed_data['binary_content'])
print(decoded_data.decode('utf-8')) # Output: Hello, YAML!
When working with binary data in YAML, be aware of potential security risks:
Binary data support in YAML enhances its versatility, allowing for the inclusion of non-textual content in YAML documents. By understanding the syntax, use cases, and best practices, developers can effectively leverage this feature in their YAML-based applications.
For more advanced YAML topics, explore YAML Complex Structures or YAML Encryption techniques.