This Firebase Authentication error occurs when importing user accounts with malformed data. The error indicates that one or more user records in your import file don't meet Firebase's validation requirements. Common issues include missing required fields, invalid field formats, or data type mismatches.
The "auth/invalid-user-import" error in Firebase Authentication occurs when you're using the Firebase Admin SDK to import user accounts in bulk, and one or more user records in your import data are malformed or invalid. Firebase provides a user import feature through the Admin SDK that allows you to migrate users from other authentication systems or perform bulk operations. When importing users, each record must adhere to specific validation rules including required fields, proper field formats, correct data types, and Firebase constraints.
First, ensure your user import data follows Firebase's required structure. Each user record should include required fields like UID, and optional fields like email, phoneNumber, etc. must be properly formatted. Key validation points include: UID must be present and max 128 characters with only alphanumeric and certain symbols; email must be valid format if provided; phone must be E.164 format if provided; booleans must be true/false, not strings; timestamps must be ISO 8601 format.
Examine your import data for common formatting problems: Email validation - ensure emails have proper format ([email protected]); Phone number validation - must be E.164 format (+12345678901); Password hash validation - must be Buffer if migrating passwords; UID validation - must be 1-128 characters, only alphanumeric, hyphen, underscore, period.
Firebase Admin SDK provides tools to validate user import data before attempting the actual import. Use auth.importUsers() with dryRun: true to validate without importing. This will return success/failure counts and detailed error messages for each problematic record. You can also validate individual fields programmatically by checking UID length/format, email regex, phone format, and boolean fields.
After identifying problematic records, fix them and retry the import. Create a clean import function with error handling that tracks successful imports and failed users. Implement retry logic with exponential backoff. Common fixes include: trimming whitespace from string fields, ensuring boolean fields are actual booleans, converting UIDs to strings, and fixing format issues.
For large user imports, use batching to avoid timeouts and memory issues. Implement batch import function that processes users in configurable batch sizes (start with 100-500). Add delays between batches to avoid rate limiting. Monitor memory usage during imports and adjust batch size accordingly. Track progress and handle partial failures gracefully.
After successful import, verify the users by fetching user records with auth.getUser(uid). Check a sample of imported users to ensure they were created correctly. Clean up temporary files and data used during the import process. Log import statistics including total time, success rate, and common error types for future reference.
Firebase has specific requirements for user import data that differ from regular user creation. When migrating users with passwords, you must provide properly formatted passwordHash and passwordSalt. UIDs must be unique across your entire Firebase project and cannot be changed once set. Custom claims are limited to 1000 bytes when serialized as JSON. For performance, tune batch size based on memory usage and implement rate limiting handling. Always design for partial failure and implement idempotent retry logic. Use service accounts with minimal permissions and encrypt sensitive import data.
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