Release Notes

New Features

• Added ValidateCSVData to validate CSV data rows using configurable validation rules.

• Added required-field validation to identify empty values in mandatory columns.

• Added regular expression (Regex) validation to check values against specified formats.

• Added detailed validation errors, including row number, column name, value, error type, error message, and regex pattern.

• Added total rows, valid rows, and invalid rows count outputs.

• Added configurable maximum validation error limits to control the number of returned errors.

• Added an error truncation indicator when the maximum validation error limit is reached.

• Enhanced CSV parsing to support quoted values and multiline records.

Existing Features

• Retained ValidateCSVColumns for validating CSV headers against required columns.

• Continued support for configurable delimiters, case-sensitive or case-insensitive matching, column-name trimming, and missing or unexpected column reporting.

Demo Application

• Updated the demo application to demonstrate CSV column validation and data validation scenarios.