UQL Parser Online
An online UQL parser that converts queries into an AST, reports tokens, and highlights syntax errors for debugging and integration.
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About This Tool
Conceptually, the tool runs in three stages: lexing, parsing, and AST generation. The lexer emits a token stream with type and position, the parser applies the UQL grammar to build an AST, and the result is a parse_tree, tokens, and any syntax errors. Optional inputs can supply a data_schema to enable semantic checks, and parse options to relax or tighten constraints. Output is designed for automated pipelines: the AST can feed compilers or BI pipelines, and tokens assist in tracing the parsing process.
Use cases include validating user-generated queries before execution, transforming UQL into intermediate representations for analytics tooling, and debugging complex expressions that combine joins, groupings, and windowing. Unique value comes from real-time tokenization alongside AST output, the ability to feed an optional schema for semantic hints, and structured error data with precise locations. The tool is language-aware, supports English error messages, and can be integrated into CI pipelines for query-quality gates.
How to Use
- Provide inputs: Enter the UQL query and, optionally, a dataset schema to enable semantic checks.
- Configure options: Choose strict_mode and parse_mode as needed.
- Run parsing: Submit analysis to generate tokens, AST, and errors.
- Review outputs: Inspect the parse_tree, token list, and error details with positions.
- Iterate: refine the query and re-run until syntax is valid.
Frequently Asked Questions
Find Quick Answers
What is UQL and what does the parser do?
What outputs are produced by parsing a query?
Can I enable semantic checks against a schema?
How are errors reported and what if there are recoverable issues?
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