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Ramda vs json stringify (no util)
(version: 1)
Comparing performance of:
Stringify vs Ramda
Created:
one year ago
by:
Guest
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HTML Preparation code:
<script src="https://cdnjs.cloudflare.com/ajax/libs/ramda/0.25.0/ramda.min.js"></script>
Script Preparation code:
var data = [{foo: {bar: {foo: {bar: ''}}}}, {}, {}];
Tests:
Stringify
var result = JSON.stringify(data) === JSON.stringify([{foo: {bar: {foo: {bar: ''}}}}, {}, {}])
Ramda
var result = R.equals(data, [{foo: {bar: {foo: {bar: ''}}}}, {}, {}]);
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
Stringify
Ramda
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
one year ago
)
User agent:
Mozilla/5.0 (Macintosh; Intel Mac OS X 10.15; rv:136.0) Gecko/20100101 Firefox/136.0
Browser/OS:
Firefox 136 on Mac OS X 10.15
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Embed Benchmark Result
Test name
Executions per second
Stringify
1790509.2 Ops/sec
Ramda
223480.1 Ops/sec
Autogenerated LLM Summary
(model
gpt-4o-mini
, generated one year ago):
In the benchmark you provided, two different approaches are being tested for deep equality checks between complex objects in JavaScript: using the built-in `JSON.stringify()` method and using the `R.equals()` method from the Ramda library. ### Comparison of Options 1. **JSON.stringify() Method**: - **Test Case Definition**: ```javascript var result = JSON.stringify(data) === JSON.stringify([{foo: {bar: {foo: {bar: ''}}}}, {}, {}]); ``` - **Description**: `JSON.stringify()` converts JavaScript objects into a JSON string, allowing for a straightforward way to compare the serialized formats of two objects. If the serialized strings are identical, the objects are considered equal. - **Performance Result**: In the benchmark, `JSON.stringify()` achieved **1,790,509.25 executions per second**. **Pros**: - Simple to implement and understand. - No additional library dependencies are needed, which can reduce overhead. - Generally performs well for straightforward objects. **Cons**: - Cannot handle functions, undefined values, or circular references, leading to potential data loss or errors in serialization. - Comparisons may not be ideal for objects with key order differences, as `JSON.stringify()` does not guarantee the order of properties in the output. 2. **Ramda's R.equals() Method**: - **Test Case Definition**: ```javascript var result = R.equals(data, [{foo: {bar: {foo: {bar: ''}}}}, {}, {}]); ``` - **Description**: Ramda’s `R.equals()` checks for deep equality between two values. It examines the structure and properties of objects directly rather than converting them to strings. This method can handle more complex scenarios compared to `JSON.stringify()`. - **Performance Result**: In the benchmark, `R.equals()` achieved **223,480.125 executions per second**. **Pros**: - Handles more complex data structures, including functions and undefined values. - Correctly assesses deep equality even when object properties are in different orders or involve more intricate nested structures. **Cons**: - Slower performance compared to `JSON.stringify()` in this benchmark scenario due to the complexity of deep equality checking. - Requires the additional overhead of including and using a library (in this case, Ramda), increasing the bundle size and potentially impacting load times in web applications. ### Other Considerations When considering these two approaches, it's also important to factor in the complexity of the objects being compared. For simpler objects, `JSON.stringify()` might be sufficient and will perform faster. However, for applications involving more complex data or requiring more robust comparison capabilities, using a library like Ramda or exploring other libraries (like Lodash with its `_.isEqual()` method) may be the preferred choice. Each alternative has its own performance and memory implications that should be evaluated based on the specific use case. ### Conclusion In conclusion, the benchmark compares two methods for deep equality checking in JavaScript: `JSON.stringify()`, which is fast but limited in capability, and `R.equals()` from Ramda, which is more versatile but slower. The choice between them ultimately depends on the specific requirements of the application, balancing the need for performance against the complexity of data structures being handled.
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