Foreign Key Validator

Validate foreign key relationships between multiple datasets. Perfect for checking data integrity, finding orphaned records, and ensuring referential consistency across related tables. Features: - Validate foreign key relationships - Find orphaned records - Check referential integrity - Support multiple key formats - Cross-table validation - Missing key detection - Duplicate key analysis - Relationship mapping Common Use Cases: - Database integrity checks - Data migration validation - ETL process verification - Referential consistency checks - Data quality assurance - Relationship analysis

Column number that contains the primary key values (1-based index)

Column number that contains the foreign key values (1-based index)

Treat uppercase and lowercase as different values

Skip empty or null values during validation

Key Facts

Category
Data & Tables
Input Types
textarea, number, select, checkbox
Output Type
text
Sample Coverage
4
API Ready
Yes

Overview

The Foreign Key Validator is a specialized utility designed to ensure referential integrity by comparing primary and foreign key relationships across datasets. It helps identify missing keys, orphaned records, and inconsistencies, ensuring your relational data remains accurate and reliable during migrations or routine audits.

When to Use

  • •Verifying data integrity before or after a database migration.
  • •Identifying orphaned records in child tables that lack a corresponding parent entry.
  • •Performing cross-table consistency checks to ensure relational mapping is accurate.

How It Works

  • •Paste your parent table data into the Primary Key Data field and specify the column index containing the primary keys.
  • •Paste your child table data into the Foreign Key Data field and specify the column index containing the foreign keys.
  • •Select your preferred validation mode and output format, then run the tool to generate a detailed report of matches and discrepancies.

Use Cases

Database integrity checks to ensure all child records point to valid parent entities.
ETL process verification to confirm data mapping remains intact during transformation.
Data quality assurance for cleaning up legacy datasets with broken relationships.

Examples

1. Validating Customer Orders

Data Analyst
Background
An analyst needs to ensure that every order in the 'Orders' table is linked to a valid customer ID in the 'Customers' table.
Problem
Some orders contain customer IDs that no longer exist in the master customer list.
How to Use
Paste the Customer list into Primary Key Data (Column 1) and the Orders list into Foreign Key Data (Column 3). Select 'Find Missing Keys Only'.
Example Config
primaryKeyColumn: 1, foreignKeyColumn: 3, validationMode: 'missing'
Outcome
A list of order records that reference non-existent customer IDs, allowing for quick cleanup.

2. Cleaning Orphaned Records

Database Administrator
Background
A legacy database migration resulted in several orphaned records in the 'Transactions' table.
Problem
Need to identify and remove transactions that do not have a corresponding account ID.
How to Use
Upload both datasets and set the validation mode to 'orphans' to isolate the invalid entries.
Example Config
validationMode: 'orphans', outputFormat: 'csv'
Outcome
A CSV file containing all orphaned transaction rows, ready for deletion or reconciliation.

Try with Samples

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Sample Markdown documents with various link types for testing the Markdown Link Extractor tool
task format
sample
Semantic Versioning Samples
Collection of Semantic Versioning 2.0.0 version numbers for testing (major.minor.patch format with pre-release and build metadata)
task format
sample
SQL Scripts Samples
SQL query examples and database scripts for various scenarios and use cases (primarily MySQL syntax)
task format
sample
US SSN Samples
Collection of US Social Security Number formats for validation testing
task format
sample

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FAQ

What is an orphaned record?

An orphaned record is a row in a child table that references a primary key value that does not exist in the parent table.

Can I validate data that is case-sensitive?

Yes, you can toggle the 'Case Sensitive' option to ensure that 'ID-01' and 'id-01' are treated as distinct values.

How do I handle empty cells in my data?

Enable the 'Ignore Empty Values' checkbox to skip null or empty fields during the validation process.

What output formats are supported?

The tool supports Detailed Reports, Summary views, JSON format, and CSV exports for invalid records.

Is there a limit to the number of rows I can validate?

The tool is designed for efficient processing, but performance depends on your browser's memory capacity for very large datasets.

API Documentation

Request Endpoint

POST /en/api/tools/data-foreign-key-validator

Request Parameters

Parameter Name Type Required Description
primaryKeyData textarea Yes -
primaryKeyColumn number Yes Column number that contains the primary key values (1-based index)
foreignKeyData textarea Yes -
foreignKeyColumn number Yes Column number that contains the foreign key values (1-based index)
validationMode select Yes -
caseSensitive checkbox No Treat uppercase and lowercase as different values
ignoreEmpty checkbox No Skip empty or null values during validation
outputFormat select Yes -

Response Format

{
  "result": "Processed text content",
  "error": "Error message (optional)",
  "message": "Notification message (optional)",
  "metadata": {
    "key": "value"
  }
}
Text: Text

AI MCP Documentation

Add this tool to your MCP server configuration: 

{
  "mcpServers": {
    "elysiatools-data-foreign-key-validator": {
      "name": "data-foreign-key-validator",
      "description": "Validate foreign key relationships between multiple datasets. Perfect for checking data integrity, finding orphaned records, and ensuring referential consistency across related tables.

Features:
- Validate foreign key relationships
- Find orphaned records
- Check referential integrity
- Support multiple key formats
- Cross-table validation
- Missing key detection
- Duplicate key analysis
- Relationship mapping

Common Use Cases:
- Database integrity checks
- Data migration validation
- ETL process verification
- Referential consistency checks
- Data quality assurance
- Relationship analysis",
      "baseUrl": "https://elysiatools.com/mcp/sse?toolId=data-foreign-key-validator",
      "command": "",
      "args": [],
      "env": {},
      "isActive": true,
      "type": "sse"
    }
  }
}

You can chain multiple tools, e.g.: `https://elysiatools.com/mcp/sse?toolId=png-to-webp,jpg-to-webp,gif-to-webp`, max 20 tools.

If you encounter any issues, please contact us at [email protected]