Toggle navigation
MeasureThat.net
Create a benchmark
Tools
Feedback
FAQ
Register
Log In
Iterate
(version: 0)
Comparing performance of:
Matches vs Function
Created:
4 years ago
by:
Guest
Jump to the latest result
Tests:
Matches
var users = [ { 'user': 'luv', 'salary': 36000, 'active': true }, { 'user': 'kush', 'salary': 40000, 'active': false } ]; // Using the _.filter() method // The `_.matches` iteratee shorthand let filtered_array = _.filter(users, { 'salary': 36000, 'active': true } );
Function
var users = [ { 'user': 'luv', 'salary': 36000, 'active': true }, { 'user': 'kush', 'salary': 40000, 'active': false } ]; // Using the _.filter() method let filtered_array = _.filter( users, function(o) { return o.salary == 36000 && o.active } );
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
Fork
Test case name
Result
Matches
Function
Fastest:
N/A
Slowest:
N/A
Latest run results:
No previous run results
This benchmark does not have any results yet. Be the first one
to run it!
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the provided benchmark and its test cases. **Benchmark Overview** MeasureThat.net is a website that allows users to create and run JavaScript microbenchmarks. The provided benchmark definition is empty, indicating that no specific script or functionality is being tested by default. However, we have two individual test cases: "Matches" and "Function". **Test Cases** The test cases are represented as an array of objects, each containing the following properties: * `Benchmark Definition`: A string representing the JavaScript code to be executed for each test case. * `Test Name`: A human-readable name for each test case. Let's analyze each test case: ### "Matches" This test case uses the `_` object from the Lodash library. The `_.filter()` method is used to filter an array of objects based on a specified iteratee function. In this case, the iteratee function checks if the 'salary' property of each object in the array matches 36000 and if the 'active' property is true. ```javascript let filtered_array = _.filter(users, { 'salary': 36000, 'active': true }); ``` The Lodash library provides a convenient way to perform common tasks like filtering arrays, without having to write custom code. However, this comes at a cost: the added complexity and potential overhead of using an external library. **Pros:** * Convenience and readability * Simplifies complex operations **Cons:** * Adds external dependency (Lodash) * Potential performance overhead ### "Function" This test case uses a standard `filter()` method without any external libraries. The iteratee function is defined as a callback function that checks if the 'salary' property of each object in the array matches 36000 and if the 'active' property is true. ```javascript let filtered_array = filter(users, function(o) { return o.salary == 36000 && o.active }); ``` This approach requires more code and manual management of the filtering process. **Pros:** * No external dependencies * Direct control over filtering logic **Cons:** * More verbose and error-prone * Requires manual management of filtering logic **Other Considerations** When testing performance-critical functions like `filter()`, it's essential to consider factors such as: * Memory allocation and deallocation overhead * Cache locality and memory access patterns * Loop unrolling and optimization opportunities In this case, both test cases are relatively simple and don't require complex optimizations. However, for more complex filtering scenarios or large datasets, the choice between using an external library like Lodash or implementing a custom solution may have significant performance implications. **Alternatives** Other alternatives to consider when testing JavaScript microbenchmarks include: * Using a Just-In-Time (JIT) compiler like V8 to optimize and run the code * Experimenting with different array lengths, data distributions, and filtering conditions to identify performance bottlenecks * Comparing the performance of different programming languages or runtime environments * Investigating parallelization techniques, such as multi-threading or distributed computing, for large-scale benchmarking
Related benchmarks:
Iterators
For Loop vs While Loop vs indexOf
Iterator with Array#pop() vs iterator with Array#shift()
Native Loop
iterators vs callbacks
Comments
Confirm delete:
Do you really want to delete benchmark?