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Some vs. Filter vs. indexOf vs findIndex
(version: 0)
Comparing performance of:
Array.some vs Array.filter vs Array.indexOf vs Array.findIndex
Created:
5 years ago
by:
Guest
Jump to the latest result
Script Preparation code:
var hasZero = []; var withoutZero = []; for (var i = 0; i < 10000; i++) { hasZero.push(Math.floor(Math.random() * 1000)); withoutZero.push(Math.floor(Math.random() * 1000) + 1) }
Tests:
Array.some
var tempResult = !!Math.round(Math.random()) ? hasZero.some(v => v === 0) : withoutZero.some(v => v === 0);
Array.filter
var tempResult = !!Math.round(Math.random()) ? hasZero.filter(v => v === 0) : withoutZero.filter(v => v === 0);
Array.indexOf
var tempResult = !!Math.round(Math.random()) ? hasZero.indexOf(0) > -1 : withoutZero.indexOf(0) > -1;
Array.findIndex
var tempResult = !!Math.round(Math.random()) ? hasZero.findIndex(v => v === 0) > -1 : withoutZero.findIndex(v => v === 0) > -1;
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (4)
Previous results
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Test case name
Result
Array.some
Array.filter
Array.indexOf
Array.findIndex
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
5 months ago
)
User agent:
Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/141.0.0.0 Safari/537.36
Browser/OS:
Chrome 141 on Linux
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Embed Benchmark Result
Test name
Executions per second
Array.some
251107.5 Ops/sec
Array.filter
56350.5 Ops/sec
Array.indexOf
3555828.5 Ops/sec
Array.findIndex
257419.7 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's dive into the world of JavaScript microbenchmarks. **Benchmark Purpose** The provided JSON represents a benchmark test on measuring the performance of three different approaches for finding the presence of a specific value in an array: `some()`, `filter()`, and `indexOf()`/`findIndex()`. The benchmark test is designed to compare the execution speed of these three approaches, which are essential methods in JavaScript. **Options Compared** The options being compared are: 1. **Array.some()**: This method returns `true` if at least one element in the array satisfies the provided callback function. 2. **Array.filter()**: This method creates a new array with all elements that pass the test implemented by the provided callback function. 3. **Array.indexOf()**: This method returns the index of the first occurrence of the specified value, or -1 if it is not found. 4. **Array.findIndex()**: This method returns the index of the first occurrence of the specified value, or -1 if it is not found. **Pros and Cons** Here's a brief overview of each approach: * **Array.some()**: Pros: * Simple to implement * Efficient for small arrays Cons: * Creates a new array (not suitable for large datasets) * May be slower than other approaches for very large arrays due to the iteration and testing process. * **Array.filter()**: Pros: * Creates a new array with filtered elements * Can be faster than `some()` for large datasets as it avoids unnecessary iterations Cons: * Creates a new array, which can be memory-intensive * May slow down performance due to the creation of an additional array. * **Array.indexOf()** and **Array.findIndex()**: Pros: * Fastest approach among the three, as they directly search for the value in the array Cons: * May not be suitable for arrays that contain non-numeric values or values with different data types **Library and Syntax** The benchmark test uses native JavaScript methods. No external libraries are required. **Special JS Features/Syntax** None mentioned in this specific benchmark definition, but it's essential to note that some JavaScript features like `async/await`, `Promise` handling, or modern syntax (e.g., arrow functions) can impact performance and should be considered when writing benchmarks. **Alternative Approaches** If you need alternative approaches for finding a value in an array, consider the following: * **Linear search**: Iterating through each element in the array to find the target value. * **Binary search**: Suitable for sorted arrays. Divide the search space in half at each step until the target value is found. When writing benchmarks, remember to: * Keep your benchmark test independent of external factors like network speed or environment configuration. * Focus on a specific use case and measure performance accordingly. * Use meaningful metrics, such as execution time per unit (e.g., milliseconds per iteration). * Test for performance in different scenarios, considering edge cases and realistic inputs. These considerations will help you create more accurate and reliable benchmark results.
Related benchmarks:
Some vs. Filter vs. findIndex again
Some vs. Filter vs. findIndex
Some vs. Filter vs. findIndex vs find
Some vs. Filter vs. findIndex with object
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