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test array and set
(version: 0)
Comparing performance of:
empty array vs array 10000 vs Int8Array vs Set
Created:
2 years ago
by:
Guest
Go to the latest result
Tests:
empty array
const a = [] let b for (let i = 0; i < 1e4; i++) a[i] = i for (let i = 0; i < 1e4; i++) b = a[i]
array 10000
const a = new Array(1e4) let b for (let i = 0; i < 1e4; i++) a[i] = i for (let i = 0; i < 1e4; i++) b = a[i]
Int8Array
const a = new Int8Array(1e4) let b for (let i = 0; i < 1e4; i++) a[i] = i for (let i = 0; i < 1e4; i++) b = a[i]
Set
const a = new Set() let b for (let i = 0; i < 1e4; i++) a.add(i) for (let i = 0; i < 1e4; i++) b = a.has(i)
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (4)
Previous results
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Test case name
Result
empty array
array 10000
Int8Array
Set
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
2 years ago
)
User agent:
Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36
Browser/OS:
Chrome 120 on Windows
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Embed Benchmark Result
<iframe src="https://measurethat.net/Embed?id=498682" width="100%" height="500px"></iframe>
array 10000
78K/s
Int8Array
68K/s
empty array
40K/s
Set
3K/s
View exact numbers
Test name
Executions per second
✓
array 10000
77,602 Ops/sec
Int8Array
68,448 Ops/sec
empty array
40,183 Ops/sec
Set
3,471 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Measuring JavaScript performance is an essential task for web developers, and MeasuringThat.net provides a great platform to do so. Let's break down the benchmark definition and options being compared: **Benchmark Definition:** The benchmark measures the execution time of three different data structures in JavaScript: 1. **Empty Array**: An array with no initial elements. 2. **Array**: A large array (10,000 elements) filled with values from 0 to 9,999. 3. **Int8Array**: A 16-bit signed integer array (10,000 elements). 4. **Set**: A set of unique elements (1-10,000). **Options Being Compared:** The benchmark compares the performance of these four options: * Array * Int8Array * Set **Pros and Cons of Each Approach:** 1. **Array:** * Pros: + Most commonly used data structure in JavaScript. + Easy to implement and understand. * Cons: + Can be slower for large datasets due to the overhead of dynamic typing. 2. **Int8Array:** * Pros: + Optimized for 16-bit integer operations. + Can provide better performance for numeric-heavy workloads. * Cons: + Less commonly used than arrays. 3. **Set:** * Pros: + Efficient for fast lookups and insertions. + Provides a good balance between memory usage and performance. * Cons: + May be slower than arrays or Int8Array for large datasets. **Special JS Features/Syntax:** There are no special JavaScript features or syntax used in this benchmark. The focus is on comparing the performance of different data structures without introducing any additional complexity. **Library Usage:** None of the benchmark tests use external libraries. The code provided within each test case is self-contained and only relies on the built-in JavaScript data structures (arrays, sets). Now, let's discuss alternative approaches to measuring JavaScript performance: 1. **Benchmarking frameworks:** There are several benchmarking frameworks available for JavaScript, such as Benchmark.js or jsperf. These frameworks provide more advanced features and tools for writing and running benchmarks. 2. **Native code generation:** Some JavaScript engines, like V8 (used by Chrome), can generate native machine code for certain operations. This approach can provide better performance but requires more expertise to set up and use. 3. **Multi-threading:** Modern browsers often have multi-core processors, which can be utilized for parallelizing certain operations. However, this approach is still in its infancy and requires significant optimization to achieve meaningful results. MeasuringThat.net's approach provides a simple and accessible way to compare the performance of different data structures, making it an excellent starting point for JavaScript performance benchmarking.
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