yamly

Package yamly provides a new way for YAML marshalling/unmarshalling, using code generation instead of runtime reflection. In this terms yamly is similar to . However, currently yamly is more proof of concept than really competitive and production-ready library.

Usage

Install

go get github.com/KSpaceer/yamly && go install github.com/KSpaceer/yamly/...@latest

Run

yamlygen -type <target type> <package directory>

This command will generate a _yamly.go file with marshalling and unmarshalling functions for target type from package directory.

Like and , yamly code generation invokes go run on a temporary file, therefore a full Go build environment is required.

Options

Flags:
  -build-tags string
    	build tags to add to generated file
  -disallow-unknown-fields
    	return error if unknown field appeared in yaml
  -encode-pointer-receiver
    	use pointer receiver in encode methods
  -engine string
    	used parser engine for generated code (default "goyaml")
  -inline-embedded
    	inline embedded fields into YAML mapping
  -omitempty
    	omit empty fields by default
  -output string
    	name of generated file
  -type string
    	target type to generated marshaling methods

Struct tags

Currently yamly supports two struct tags:

• 'omitempty' - marshal field only in case it is not empty.
• 'inline' - inline the field, i.e. treat all field's nested as if they were the part of host struct.

Engines

Yamly uses different parsing engines to generate code (i.e. engine is somewhat of 'backend' of marshalling). At this time yamly supports two engines:

• yayamls (Yet another YAML serializer) - self-made engine aiming to full coverage of YAML specification.
• goyaml - engine using as base.

Performance

yamly is still raw and has pretty mediocre performance. With yayamls engine it is 2x times slower than go-yaml package, and with goyaml engine it only compares (not surpasses) the mentioned package. In case of yayamls it is okay because yayamls has full coverage as main goal, but in case of goyaml it only brings overhead because of additional layer over parsing and marshalling, not mentioning difficulties of code generation.

The best way to resolve this problem is to implement new engine with direct access to lexing and tokenizing processes, which builds no AST.