New Nov 22, 2025

How to efficiently validate and sanitize large CSV datasets without blocking UI? [closed]

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I'm building a data quality tool in React/TypeScript that allows users to upload CSV files (10,000+ rows) and validate/clean the data before processing. I need to handle client-side validation without freezing the UI.

Current Implementation

typescript

interface DataRow {
  name: string;
  email: string;
  phone: string;
  date: string;
}

const validateData = (rows: DataRow[]) => { const errors: Record<number, string[]> = {};

rows.forEach((row, index) => { const rowErrors: string[] = [];

// Email validation if (!/^[^\s@]+@[^\s@]+.[^\s@]+$/.test(row.email)) { rowErrors.push('Invalid email format'); }

// Phone validation if (!/^+?[\d\s-()]+$/.test(row.phone)) { rowErrors.push('Invalid phone format'); }

// Date validation if (isNaN(Date.parse(row.date))) { rowErrors.push('Invalid date format'); }

if (rowErrors.length > 0) { errors[index] = rowErrors; } });

return errors; };

Problems

  1. Performance Issue: When processing large files (50,000+ rows), the UI freezes for several seconds during validation

  2. Memory Concerns: Loading and validating huge datasets causes browser memory warnings

  3. User Experience: No progress indication during long validation operations

What I've Tried

Questions

  1. What's the best approach for validating large datasets in React without blocking the UI thread?

  2. Should I use Web Workers with structured cloning, or is there a better pattern with async/await and requestIdleCallback?

  3. How do production data quality tools handle client-side validation of massive datasets efficiently?

  4. Are there TypeScript-friendly libraries specifically designed for large-scale data validation?

Requirements

Environment

Any guidance on architecture patterns, libraries, or performance optimization strategies would be greatly appreciated!

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