Question 1

How to parse JSON with tokenizer in Go?

Accepted Answer

Refer to the example_test.go file; define custom tokens for braces, commas, and quoted strings, then handle escaping and nesting manually. It's flexible but requires building the parser logic on top of tokenization.

Question 2

Tokenizer vs Go's text/scanner: which is better for lexical analysis?

Accepted Answer

Tokenizer offers higher performance and more customization for complex tasks like infinite streams or template injections, while text/scanner is simpler and built-in but less flexible. Choose based on your need for speed and control.

Question 3

How to handle infinite data streams with tokenizer?

Accepted Answer

Use the ParseStream method with an io.Reader, set a buffer size (e.g., 4096), and iterate with IsValid and GoNext. It processes data chunk-by-chunk without loading everything into memory.

Question 4

Can tokenizer parse XML or YAML files?

Accepted Answer

Yes, but you need to define custom tokens for tags, attributes, and syntax elements. It's capable but requires manual implementation, as it only provides tokenization, not full parsing.

Question 5

What are the performance benchmarks for tokenizer on large files?

Accepted Answer

Benchmarks in the README show speeds around 9.5 MB/s for byte parsing and up to 25 MB/s for infinite streams on tested hardware, making it suitable for high-throughput applications.

Question 6

How to define custom tokens for a domain-specific language (DSL)?

Accepted Answer

Use DefineTokens for symbols and operators, DefineStringToken for quoted strings, and configure keyword symbols with AllowKeywordSymbols. Injections can be added for template placeholders.

tokenizer

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