Online XQuery Validator

Assists developers and testers to validate XQuery expressions against XML inputs, providing immediate results and error details in real time.

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About This Tool

This tool validates XQuery expressions against provided XML inputs. It targets developers, data engineers, QA analysts, and API integrators who author XQuery for data extraction, transformation, or report generation. Conceptually, it vectorizes the process into a parse step, a semantic check, and an optional dialect conformance check. The result is either a clean validation flag or a detailed list of issues with line and column positions, enabling rapid correction. Core features include: 1) strict syntax validation using a robust XQuery parser; 2) error mapping to source locations for actionable fixes; 3) optional dialect-aware checks; 4) structured errors returned as JSON when integrated; and 5) non-destructive operation that does not execute data fetches. Use cases span XML pipelines, service integrations, and data warehousing with XML. The tool helps catch missing contexts, invalid function usage, or mismatched namespaces before deployment.

How to Use

  1. Provide inputs: Enter the XQuery expression and the XML document.
  2. Choose validation scope: select dialect or default.
  3. Run validation: submit to process.
  4. Review outputs: inspect validity and error details.
How to use online xquery validator

Frequently Asked Questions

Find Quick Answers

What is validated?
The validator checks syntax and basic semantic correctness of the XQuery expression against the provided XML. It does not execute data access or external services and returns a list of parse or conformance errors with source locations when present.
Are there dialect options?
Yes. The tool defaults to standard XQuery 3.1 syntax checks. It can surface hints for dialect-specific features, and some advanced extensions may be flagged as unsupported if they fall outside the standard.
Can I export results or logs?
Yes. Validation results can be obtained in a structured format (JSON) including error details and line/column positions, and logs can be exported for CI or archival purposes.
Is it suitable for CI pipelines?
Yes. The validator provides deterministic outputs suitable for automation, enabling integration via APIs or CLI in build and test workflows without requiring UI interaction.

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