JSON Multi Merge
A high-performance JSON merging library powered by Rust, featuring advanced merge rules and key modifiers.
Features
- Recursive Object Merging: Deep merge nested JSON objects
- Array Replacement: Second object's arrays take precedence
- Key Modifiers:
key!- Replace value instead of mergingkey--- Remove this key from the resultkey-history- Append list value instead of replacing
- Type Conflict Resolution: Last object's type wins
- Null Handling: Treat null as a regular value
- High Performance: Rust backend for efficient deep merges
Installation
pip install json-multi-merge
Usage
Variadic Input
The merge function now accepts any number of dictionary arguments:
# Single dictionary
merge({"a": 1})
# Multiple dictionaries
merge({"a": 1}, {"b": 2}, {"c": 3})
# From a list (using unpacking)
dicts = [{"a": 1}, {"b": 2}]
merge(*dicts)
# Invalid usage (will raise TypeError)
merge({"a": 1}, [1, 2, 3]) # Second item is not a dict
merge("not a list") # Not a list at all
Basic Merge
from json_multi_merge import merge
a = {"name": "Alice", "age": 30}
b = {"age": 31, "city": "Paris"}
result = merge(a, b)
# {'name': 'Alice', 'age': 31, 'city': 'Paris'}
Nested Object Merging
base = {
"user": {
"name": "Alice",
"contact": {"email": "alice@example.com"}
}
}
update = {
"user": {
"contact": {"phone": "555-1234"},
"preferences": {"theme": "dark"}
}
}
result = merge(base, update)
# {
# "user": {
# "name": "Alice",
# "contact": {"email": "alice@example.com", "phone": "555-1234"},
# "preferences": {"theme": "dark"}
# }
# }
Merging Multiple Objects
Merge any number of JSON objects sequentially:
result = merge(
{"base": 1},
{"base": 2, "new!": "value"},
{"base--": None, "final": True}
)
# Result: {'new': 'value', 'final': True}
Batch Processing Example
configs = [
{"defaults": {"timeout": 30}},
{"defaults": {"retries": 3}},
{"defaults!": {"cache": "enabled"}},
{"defaults--": {}, "environment": "prod"}
]
final_config = merge(*configs)
# Result: {'environment': 'prod'}
Array Replacement
base = {"tags": ["old"], "items": [1, 2]}
update = {"tags": ["new"], "items!": [3, 4]}
result = merge(base, update)
# {"tags": ["new"], "items": [3, 4]}
Key Modifiers
Replace (!) and Omit (--)
config = {
"debug": True,
"plugins": ["basic"],
"temp_data": {"key": "value"}
}
update = {
"debug!": False,
"plugins--": None,
"temp_data--": {"key": "value"}
}
result = merge(config, update)
# {"debug": False}
Deeply Nested Modifiers
base = {
"system": {
"settings": {
"logging": {"level": "info"},
"backups": {"enabled": False}
}
}
}
update = {
"system!": {
"settings--": {"logging": {"level": "info"}},
"new_settings": {"cache_size": "256MB"}
}
}
result = merge(base, update)
# {
# "system": {
# "new_settings": {"cache_size": "256MB"}
# }
# }
Type Conflicts
base = {"data": {"values": [1, 2, 3]}}
update = {"data": "invalid"}
result = merge(base, update)
# {"data": "invalid"}
Null Handling
base = {"user": None}
update = {"user!": {"name": "Bob"}}
result = merge(base, update)
# {"user": {"name": "Bob"}}
API Reference
merge(base: dict, update: dict) -> dict
Merges two JSON objects according to the rules:
- Objects are merged recursively
- Arrays are replaced
- Key modifiers change merge behavior:
key!: Replace value completelykey--: Remove key from result
- Last object's value type wins in conflicts
Performance
The Rust implementation provides significant performance benefits for:
- Large JSON documents (10k+ elements)
- Deeply nested structures (10+ levels)
- Batch processing operations
# Benchmark example (1k nested objects)
import timeit
setup = '''
import json_multi_merge
base = {"data": {"nested": {"value": 1}}}
update = {"data": {"nested": {"value!": 2}}}
'''
print(timeit.timeit('json_multi_merge.merge(base, update)', setup, number=10000))
# Typical result: ~0.8 seconds (vs ~4.2 seconds for pure Python equivalent)
License
MIT License - See LICENSE for details.
Metadata
Release files for json-multi-merge 0.3.1
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Built distributions (wheels)
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