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Remove first element from array - slice vs filter
(version: 0)
Comparing performance of:
slice vs filter
Created:
2 years ago
by:
Guest
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Script Preparation code:
var test = Array.from({ length: 10000 }, (_, index) => ({ id: index + 1, value: Math.random() }))
Tests:
slice
test.slice(1)
filter
test.filter((e, i) => i !== 0 )
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
slice
filter
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_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/132.0.0.0 Safari/537.36
Browser/OS:
Chrome 132 on Mac OS X 10.15.7
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Test name
Executions per second
slice
2033054.4 Ops/sec
filter
34609.0 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's dive into the explanation. The provided JSON represents a JavaScript microbenchmark test case on the MeasureThat.net website. The test measures the performance of two different approaches to remove the first element from an array: using the `slice()` method and the `filter()` function. **Approaches compared:** 1. **`slice()`**: This method returns a new array that includes all elements except the first one. It creates a new array object with the specified length, and then fills it with elements from the original array. 2. **`filter()`**: This method creates a new array with all elements that pass the provided test. In this case, the filter function checks if the index `i` is not equal to 0. **Pros and Cons:** * **`slice()`**: * Pros: It's generally faster because it uses an optimization technique called "overlapping slices," which reduces memory allocation and copying. * Cons: Creating a new array object can be expensive in terms of memory allocation and garbage collection. * **`filter()`**: * Pros: It avoids creating a new array, reducing memory allocation and garbage collection overhead. However, it may incur additional overhead due to the creation of an iterator and the filtering process. * Cons: The filtering process can be slower than `slice()`, especially for large arrays. The choice between these two approaches depends on the specific use case and performance requirements. If memory efficiency is crucial, `filter()` might be a better option. However, if raw speed is essential, `slice()` might be preferred. **Library usage:** None of the provided code snippet uses any external libraries for this test case. **Special JavaScript features or syntax:** No special JavaScript features or syntax are used in this benchmark. Now, let's consider some alternative approaches: * **Using a library like Lodash**: If you need to perform array operations frequently, using a library like Lodash can provide additional performance benefits and simplify your code. However, this would require including an external dependency. * **Using a custom implementation**: Depending on the specific requirements of your project, you might be able to optimize the `slice()` and `filter()` methods further by implementing them from scratch. This approach requires more expertise in JavaScript internals and can lead to a significant increase in development time. These alternatives are worth considering when dealing with performance-critical array operations in JavaScript.
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filter vs slice - remove first
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slice vs filter for index filtering
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