JSON Merge Online
Merge multiple JSON payloads together using advanced deep/shallow recursion engines. Control properties conflict resolution rules, combine list arrays, and output canonical merged objects securely and locally.
Deep Merge vs. Shallow Merge
When combining configuration states or environment presets, developers often face object composition choices. A shallow merge (similar to standard Object.assign) overwrites top-level keys entirely if a match exists. A deep merge walks sub-objects recursively, preserving distinct nested properties from both source trees and only resolving conflicts at terminal value nodes.
Handling Array Unification Strategies
Arrays are ordered lists, making direct value matching ambiguous. Our merger implements four separate strategies:
- Union (Default): Appends right elements to left and filters out duplicates, creating a clean list of unique primitives or objects.
- Concatenate: Simply appends right array values to the end of left array, preserving all original elements.
- Intersection: Isolates and returns only elements that exist in both list files.
- Replace: Discards the left list completely, replacing it with the right list value.
Frequently Asked Questions
How does conflict resolution work?
When the same property key exists in both documents with different values, you can set the conflict strategy. Keep Right prioritizes Document B's payload. Keep Left prioritizes Document A's payload, skipping overwrite actions on matches.
Are there limits on payload size during merges?
No. By parsing and compiling within dedicated browser background threads, we keep the main workspace fluid even when aligning logs and database exports totaling megabytes.
Related JSON Suit Utilities
Learning Resources & Tutorials
Master the intricacies of parsing and schemas for JSON Merge.
Suggested Learning
Intro to JSON Schema Specification
Designing Safe API Payloads using JSON Linter
Debugging JSON syntax issues instantly
Integration Examples
Typical developer setting schema.
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"type": "object",
"properties": {
"port": { "type": "integer", "default": 3000 }
}
}Developer Workflow
How JSON Merge fits inside the development and debugging lifecycle.
Ingest Input
Input raw or encoded strings
Encode / Decode
Secure local translation
Format & Parse
Beautify converted streams
Active StageVerify
Verify target integrity