How to fix P2006: The provided value is not valid in Prisma

PrismaINTERMEDIATEMEDIUMUpdated Dec 22, 2025· 126 views

The Prisma P2006 error occurs when you try to insert or update data that violates your database schema constraints. This validation error prevents invalid data from reaching your database and helps maintain data integrity.

Quick fix

Fixes P2006: The provided value is not valid

Invalid `prisma.user.create()` invocation:
{
  data: {
    email: "test@example.com",
    age: "twenty-five"  // ← This is the problem
  }
}

Argument `age`: Invalid value provided. Expected Int, provided String.
  1. Check the exact error details
  2. Verify your data types match the schema
  3. Check for missing required fields
  4. Validate string length and format constraints
prisma — error
Invalid `prisma.user.create()` invocation:
{
data: {
email: "test@example.com",
age: "twenty-five" // ← This is the problem
}
}
Argument `age`: Invalid value provided. Expected Int, provided String.
P2006: The provided value is not valid

What this error means

The P2006 error is a Prisma validation error that occurs when you attempt to create or update a record with data that doesn't match the expected schema constraints. Prisma performs runtime validation on all data operations to ensure type safety and data integrity. This error typically happens when: - You're trying to insert a string into an integer field - You're providing a value that exceeds field length constraints - You're using an invalid enum value - You're missing required fields - You're providing data in the wrong format (like a date string that can't be parsed) Prisma validates data against your Prisma schema before sending it to the database. When validation fails, it throws the P2006 error with details about which field failed and why.

Typical symptoms

  • Database operations (create, update, upsert) fail with "P2006: The provided value is not valid"
  • Specific error messages like "Invalid value for argument" or "Expected X, got Y"
  • API endpoints or GraphQL mutations fail when trying to save data
  • Data validation fails during Prisma client operations
  • Error occurs during seed data population or migration

Common causes

  1. Type mismatch between provided data and schema definition (e.g., string instead of integer)
  2. Missing required fields that are marked as @unique or have default values
  3. Invalid enum values that don't match the defined enum options
  4. String values that exceed maximum length constraints defined with @db.VarChar()
  5. Date/time values in incorrect format that can't be parsed by the database
  6. Numeric values outside the allowed range for the database column type
  7. JSON data that doesn't match the expected structure or contains invalid JSON

How to fix "P2006: The provided value is not valid"

1Check the exact error details

Prisma P2006 errors usually include specific details about which field failed. Look for messages like:

bash
Invalid `prisma.user.create()` invocation:
{
  data: {
    email: "test@example.com",
    age: "twenty-five"  // ← This is the problem
  }
}

Argument `age`: Invalid value provided. Expected Int, provided String.

The error message will tell you exactly which field has the issue and what type was expected vs. what was provided.

2Verify your data types match the schema

Compare your input data with your Prisma schema definition. Make sure:

1. Numbers are actual numbers, not strings: Convert "25" to 25
2. Booleans are true/false, not strings: Use true not "true"
3. Dates are Date objects or ISO strings: Use new Date() or "2024-01-01T00:00:00.000Z"
4. Enums match exactly: Check case sensitivity and spelling

Example fix:

typescript
// Before (wrong)
await prisma.user.create({
  data: {
    name: "John",
    age: "30",  // String instead of Int
    active: "true"  // String instead of Boolean
  }
});

// After (correct)
await prisma.user.create({
  data: {
    name: "John",
    age: 30,  // Number
    active: true  // Boolean
  }
});
3Check for missing required fields

Ensure all required fields (fields without ? in the schema) are provided:

prisma
// schema.prisma
model User {
  id        String   @id @default(cuid())
  email     String   @unique
  name      String?  // Optional
  age       Int      // Required - will cause P2006 if missing
}
typescript
// Wrong - missing required 'age' field
await prisma.user.create({
  data: {
    email: "test@example.com"
    // Missing 'age' field
  }
});

// Correct - includes all required fields
await prisma.user.create({
  data: {
    email: "test@example.com",
    age: 25  // Required field included
  }
});
4Validate string length and format constraints

Check for database-level constraints like string length limits:

prisma
model Post {
  id      String   @id @default(cuid())
  title   String   @db.VarChar(100)  // Max 100 characters
  content String?
}
typescript
// This will fail if title exceeds 100 characters
const longTitle = "A".repeat(150); // 150 characters

await prisma.post.create({
  data: {
    title: longTitle,  // Too long!
    content: "Some content"
  }
});

// Fix by truncating or validating length
const validTitle = longTitle.substring(0, 100);

await prisma.post.create({
  data: {
    title: validTitle,
    content: "Some content"
  }
});

Also check for format constraints like email validation or URL patterns if you have custom validation.

5Use Prisma's type safety features

Leverage TypeScript to catch these errors at compile time:

1. Generate Prisma Client after schema changes:

bash
npx prisma generate

2. Use the generated types in your code:

typescript
import { PrismaClient, Prisma } from '@prisma/client';

const prisma = new PrismaClient();

// TypeScript will catch type mismatches at compile time
const userData: Prisma.UserCreateInput = {
  email: "test@example.com",
  age: "25",  // TypeScript error: Type 'string' is not assignable to type 'number'
};

// Correct version:
const correctUserData: Prisma.UserCreateInput = {
  email: "test@example.com",
  age: 25,  // Correct type
};

await prisma.user.create({ data: correctUserData });

3. Add runtime validation with Zod (optional but recommended):

typescript
import { z } from 'zod';

const userSchema = z.object({
  email: z.string().email(),
  age: z.number().int().positive(),
  name: z.string().optional()
});

const validatedData = userSchema.parse(inputData);
await prisma.user.create({ data: validatedData });

Advanced notes

## Database-Specific Considerations

Different databases have different type systems and constraints:

PostgreSQL:
- Strict type checking
- Enum values must match exactly (case-sensitive)
- JSON/JSONB fields require valid JSON

MySQL:
- More lenient with type conversions (may silently convert)
- String length limits are important
- ENUM type has specific constraints

SQLite:
- Very flexible type system (type affinity)
- Still validates against Prisma schema
- String length constraints are not enforced at database level

## Common Pitfalls

1. API request parsing: Data from HTTP requests often comes as strings. Use middleware to parse numbers and booleans:

typescript
app.use(express.json());
app.use((req, res, next) => {
  // Convert string numbers to actual numbers
  if (req.body.age && typeof req.body.age === 'string') {
    req.body.age = parseInt(req.body.age, 10);
  }
  next();
});

2. Form data: HTML forms submit everything as strings. Convert before passing to Prisma.

3. Environment variables: Config values from .env files are always strings. Parse them:

typescript
const port = parseInt(process.env.PORT || '3000', 10);
const isProduction = process.env.NODE_ENV === 'production';

## Debugging Tips

1. Enable Prisma query logging:

typescript
const prisma = new PrismaClient({
  log: ['query', 'info', 'warn', 'error']
});

2. Use try-catch with detailed error logging:

typescript
try {
  await prisma.user.create({ data: userData });
} catch (error) {
  console.error('Full error details:', JSON.stringify(error, null, 2));
  if (error instanceof Prisma.PrismaClientValidationError) {
    console.error('Validation error details:', error.message);
  }
}

3. Validate data before database operations with a utility function:

typescript
function validateUserData(data: any): Prisma.UserCreateInput {
  // Add your validation logic here
  if (typeof data.age !== 'number') {
    throw new Error('Age must be a number');
  }
  return data;
}

Frequently asked questions

What does "P2006: The provided value is not valid" mean?
The P2006 error is a Prisma validation error that occurs when you attempt to create or update a record with data that doesn't match the expected schema constraints. Prisma performs runtime validation on all data operations to ensure type safety and data integrity. This error typically happens when: - You're trying to insert a string into an integer field - You're providing a value that exceeds field length constraints - You're using an invalid enum value - You're missing required fields - You're providing data in the wrong format (like a date string that can't be parsed) Prisma validates data against your Prisma schema before sending it to the database.
How do I fix "P2006: The provided value is not valid"?
The Prisma P2006 error occurs when you try to insert or update data that violates your database schema constraints. This validation error prevents invalid data from reaching your database and helps maintain data integrity.
What causes "P2006: The provided value is not valid"?
Type mismatch between provided data and schema definition (e.g., string instead of integer) Missing required fields that are marked as @unique or have default values Invalid enum values that don't match the defined enum options
Is the "P2006: The provided value is not valid" error serious?
It is a medium-severity error — more of a blocker than a risk. The steps above resolve it.

Official resources & further reading