SSIS JSON File Destination (Create JSON File)

⚡ Key Benefits

• Drag-and-Drop Layout Editor — Design complex JSON structures visually — nested objects, document arrays, and value arrays — without writing any code
• Multi-Input JSON Generation — Combine data from multiple relational sources into a single nested JSON document with parent-child relationships
• Flexible Output Formats — Output as standard array, 2D array, 2D array with header, compact multi-content, or array lines format
• Nested Structure Support — Embed child datasets under parent nodes to produce hierarchical JSON from flat relational tables
• Any Relational Source — Convert data from SQL Server, Oracle, MySQL, or any SSIS-compatible source directly into a JSON file

📸 Visual Overview & Setup

1. Build JSON from Multiple Inputs 🔍 View Full Size	2. Convert SQL Data to JSON File 🔍 View Full Size	3. Layout Editor — Define Nested Structure 🔍 View Full Size
4. Add / Edit Input Dataset 🔍 View Full Size	5. Add / Edit Document Array 🔍 View Full Size	6. Add / Edit Value Array 🔍 View Full Size

🔧 Key Features

JSON Document Design

• Visual drag-and-drop layout editor — design JSON shape without writing any code
• Support for document arrays, value arrays, nested objects, and flat attributes
• Define parent-child relationships across multiple input datasets in a single JSON file

Output Formats

• Standard array: [{"{"}id:1,name:"AA"{"}"}, {"{"}id:2,name:"BB"{"}"}]
• 2D array: [[1,"AA"],[2,"BB"]] — compact format for downstream APIs
• 2D array with header, multi-content, array lines, and array lines with header

Input & Compatibility

• Connect to any SSIS-compatible source — SQL Server, Oracle, MySQL, flat files, and more
• Generate JSON from single or multiple input datasets in one pipeline
• Compatible with SQL Server 2012–2025 (32/64-bit) and Azure Data Factory

💡 Common Use Cases

Common real-world scenarios for generating JSON files from relational data in SSIS:

• REST API Payload Generation: Export SQL data as a JSON payload to feed downstream REST APIs or web services.
  Example: Convert an orders query result into a nested JSON array and POST it to an external API endpoint.
• Nested Document Export: Produce hierarchical JSON with parent-child nesting from multiple related tables.
  Example: Generate a JSON file with customer records containing nested arrays of their orders and line items.
• NoSQL Database Loading: Generate JSON documents for bulk import into MongoDB, Cosmos DB, or similar stores.
  Example: Export SQL Server product catalog rows as JSON documents ready for MongoDB ingestion.
• Data Exchange & Integration: Produce JSON export files in a specific format required by partner systems.
  Example: Output a 2D array format JSON file to match an external system's expected data contract.

🎯 Summary

Replace Script Tasks and custom JSON serialization code with a drag-and-drop destination that shapes relational data into any JSON structure.
Design nested documents visually, combine multiple inputs with parent-child relationships, choose from six output formats, and write JSON files — all without a single line of code.

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