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Multi-Table Joiner

Merge and join multiple tables with various join types (inner, left, right, full)

Additional condition for filtering joined records (for advanced users)

Key Facts

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

Overview

The Multi-Table Joiner is a powerful utility designed to merge and join datasets from multiple tables using standard SQL-style join operations, allowing you to consolidate information based on shared key columns.

When to Use

  • •When you need to combine two datasets that share a common identifier, such as a User ID or Product SKU.
  • •When you want to perform data analysis by linking disparate spreadsheets or CSV files without writing complex SQL queries.
  • •When you need to identify missing records or discrepancies between two related data sources using full or outer joins.

How It Works

  • •Paste your source tables into the input area, ensuring they share a consistent structure and column format.
  • •Select your preferred join type, such as Inner, Left, Right, or Full, to define how records should be matched.
  • •Specify the key columns from both the left and right tables that the tool should use to perform the join.
  • •Configure your output preferences, including the delimiter and header inclusion, then generate your merged dataset.

Use Cases

Merging customer contact information with order history tables using a shared Customer ID.
Comparing product inventory lists from two different warehouses to identify stock discrepancies.
Combining employee payroll data with department records to generate comprehensive staff reports.

Examples

1. Merging Customer Orders

Data Analyst
Background
I have a 'Customers' table and an 'Orders' table, both containing a 'CustomerID' column.
Problem
I need to create a single report that links every order to the specific customer who placed it.
How to Use
Paste both tables, select 'Left Join', and set 'CustomerID' as the key for both the left and right tables.
Example Config
joinType: left, leftTableKey: CustomerID, rightTableKey: CustomerID
Outcome
A unified table containing all customer details alongside their corresponding order information.

2. Identifying Missing Inventory

Warehouse Manager
Background
I have a master product list and a current stock count list, both using 'SKU' as the identifier.
Problem
I need to find which products are present in the master list but missing from the current stock count.
How to Use
Paste both tables, select 'Full Join', and use 'SKU' as the key to identify mismatches.
Example Config
joinType: full, leftTableKey: SKU, rightTableKey: SKU
Outcome
A combined list highlighting products with null values in the stock count column, indicating missing inventory.

Try with Samples

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FAQ

What join types are supported?

The tool supports Inner, Left, Right, Full, and Cross joins to accommodate various data relationship requirements.

Do my tables need to have the same column names?

No, but they must have consistent data types in the key columns you select for the join operation.

Can I use this tool for large datasets?

The tool is optimized for browser-based processing; for extremely large files, ensure your browser has sufficient memory available.

What happens if a key is missing in one of the tables?

Depending on the join type selected, the tool will either exclude the record (Inner Join) or include it with null values for the missing fields (Left, Right, or Full Join).

Can I add custom conditions to the join?

Yes, you can use the Custom Join Condition field to apply advanced filtering logic beyond simple key matching.

API Documentation

Request Endpoint

POST /en/api/tools/multi-table-joiner

Request Parameters

Parameter Name Type Required Description
inputData textarea Yes -
delimiter select No -
hasHeaders checkbox No -
joinType select No -
leftTableKey text Yes -
rightTableKey text Yes -
customJoinCondition text No Additional condition for filtering joined records (for advanced users)
separator select No -
includeHeaders checkbox No -
preserveSourceInfo checkbox No -

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-multi-table-joiner": {
      "name": "multi-table-joiner",
      "description": "Merge and join multiple tables with various join types (inner, left, right, full)",
      "baseUrl": "https://elysiatools.com/mcp/sse?toolId=multi-table-joiner",
      "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]