BigDecimal Validator

A precise validator for decimal numbers that confirms conformity to defined precision, scale, and optional range constraints for developers and data pipelines.

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About This Tool

Purpose and scope of the validator: a programmatic check for decimal strings that ensures compliance with defined precision and scale, plus optional bounds. It targets developers, data engineers, API integrators, and finance teams who require deterministic numeric validation before storage and processing. It provides a reproducible rule set, not a UI feature. It supports batch validation and returns structured results that can drive automated data quality pipelines. How it works conceptually: inputs are parsed as decimal numbers with sign handling; digits count yields precision and scale; constraints are compared; normalization can be applied if requested; the outcome is a clear validity flag plus diagnostic details. Unique value lies in strict BigDecimal semantics, deterministic error codes, and easy integration with data workflows, API gateways, and test suites. Core features include parsing without floating-point errors, enforcing digits, optional min/max, and optional locale support; optional normalization and batch processing extend applicability to large data sets.

How to Use

  1. Provide inputs: value, optional min, max, precision, and scale
  2. Set constraints: choose strict or lenient validation mode
  3. Run validation: trigger calculation in your integration
  4. Review outputs: validity, normalized value, and constraint violations
  5. Integrate results: feed into data pipelines, API filtering or DB inserts
How to use validator bigdecimal

Frequently Asked Questions

Find Quick Answers

What formats are accepted for value?
Accepts integer and decimal strings with optional sign; exponent notation is rejected unless enabled via a special mode. Non-numeric input yields a specific error code for automated handling.
Can I enforce locale-specific decimal separators?
Yes, by selecting a locale option in the configuration; the default uses '.' as the decimal separator, while some locales allow ',' as decimal point.
What happens if value exceeds precision or scale?
Validation fails with an invalid flag, an error_code, and a detailed message describing which constraint was violated; normalization is not applied unless requested.
Is normalization available?
Yes. If requested, the tool returns a normalized value formatted to the defined scale, optionally preserving or trimming trailing zeros based on settings.

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