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Deep compare two object
(version: 0)
Comparing performance of:
lodash vs stringify
Created:
3 years ago
by:
Guest
Jump to the latest result
HTML Preparation code:
<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js'></script>
Tests:
lodash
const a = { testing: 3, testing2: { deep1: 1, deep2: 2, deep3: { deepfried: 5 } } } const b = { testing: 3, testing2: { deep1: 1, deep2: 2, deep3: { deepfried: 5 } } } const result = _.isEqual(a, b);
stringify
const a = { testing: 3, testing2: { deep1: 1, deep2: 2, deep3: { deepfried: 5 } } } const b = { testing: 3, testing2: { deep1: 1, deep2: 2, deep3: { deepfried: 5 } } } const result = JSON.stringify(a) === JSON.stringify(b)
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
lodash
stringify
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
one year ago
)
User agent:
Mozilla/5.0 (iPhone; CPU iPhone OS 18_0 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/18.0 Mobile/15E148 Safari/604.1
Browser/OS:
Mobile Safari 18 on iOS 18.0
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Embed Benchmark Result
Test name
Executions per second
lodash
2155767.2 Ops/sec
stringify
4079549.0 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's dive into the explanation of the provided benchmark. **Benchmark Overview** The provided JSON represents two test cases for measuring JavaScript microbenchmarks on MeasureThat.net. The tests compare the performance of two approaches: using the `lodash` library to deep-compare objects and using `JSON.stringify()` to compare the equality of two objects. **Test Case 1: Deep Compare with Lodash** * **Benchmark Definition**: A sample object `a` is defined, containing nested objects and properties. Another identical object `b` is also defined. * **Library Used**: The `lodash` library, specifically the `isEqual()` function. * **Purpose**: To compare the performance of deep-comparing two objects using `lodash`. * **Pros**: + Efficiently handles complex object structures with nested objects and arrays. + Provides a robust and flexible way to compare objects for equality. * **Cons**: + Adds an external dependency (the `lodash` library), which may impact performance or compatibility. + May have a higher overhead due to the library's complexity. **Test Case 2: Deep Compare using JSON.stringify()** * **Benchmark Definition**: The same sample object `a` and identical object `b` are defined as in Test Case 1. * **Purpose**: To compare the performance of comparing two objects for equality using `JSON.stringify()`. * **Pros**: + Does not require an external library, which may reduce overhead or improve compatibility. + Simple and lightweight implementation. * **Cons**: + May not handle complex object structures as efficiently as `lodash`. + Requires converting the entire object to a string, which can be inefficient for large objects. **Special Feature/Syntax Used** In both test cases, the use of ES6 template literals (`\r\n \ttesting: 3,\r\n`) allows for concise and readable code. No additional syntax or features are used in these tests. **Alternative Approaches** Other alternatives to deep-comparing two objects include: 1. Using `Object.is()` (a built-in JavaScript function) to compare primitive values, but this may not work as expected for complex object structures. 2. Implementing a custom comparison function using recursion and/or iteration. 3. Using other libraries or frameworks that provide deep-comparison functionality, such as `deep-equal` or `fast-deep-equal`. Keep in mind that the choice of approach depends on specific requirements, performance constraints, and compatibility considerations. **Benchmark Results** The provided latest benchmark results show the execution counts per second for each test case, indicating the relative performance of `lodash` vs. `JSON.stringify()`. The results suggest that `lodash` outperforms `JSON.stringify()` in this particular scenario.
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