Benchmark: Compare nums-and-localecompare-1

Tests:

native num
const arr = [ '{ "index": 7332422033298424650 }', '{ "index": 7332422033298424651 }', '{ "index": 7332422033298424652 }', '{ "index": 7332422033298424653 }', '{ "index": 7332422033298424654 }', '{ "index": 7332422033298424655 }', ] for (let i = 0; i < arr.length; i++) { arr[i] = JSON.parse(arr[i]) } arr.sort((a, b) => a.index > b.index)
all big
const arr = [ '{ "index": 7332422033298424650 }', '{ "index": 7332422033298424651 }', '{ "index": 7332422033298424652 }', '{ "index": 7332422033298424653 }', '{ "index": 7332422033298424654 }', '{ "index": 7332422033298424655 }', ] for (let i = 0; i < arr.length; i++) { arr[i] = JSON.parse(arr[i], (key, value) => (key === 'index' ? BigInt(value) : value)) } arr.sort((a, b) => a.index > b.index)
all big smart
const arr = [ '{ "index": 7332422033298424650 }', '{ "index": 7332422033298424651 }', '{ "index": 7332422033298424652 }', '{ "index": 7332422033298424653 }', '{ "index": 7332422033298424654 }', '{ "index": 7332422033298424655 }', ] let isBigInt = undefined for (let i = 0; i < arr.length; i++) { if (i > 0) { arr[i] = isBigInt ? JSON.parse(arr[i], (key, value) => (key !== 'index' ? value : BigInt(value))) : JSON.parse(arr[i]) continue } arr[i] = JSON.parse(arr[i], (key, value) => { if (key === 'index' && (isBigInt = !Number.isSafeInteger(value))) return BigInt(value) return value }) } arr.sort((a, b) => a.index > b.index)
all small smart
const arr = [ '{ "index": 733242200 }', '{ "index": 733242201 }', '{ "index": 733242202 }', '{ "index": 733242203 }', '{ "index": 733242204 }', '{ "index": 733242205 }', ] let isBigInt = undefined for (let i = 0; i < arr.length; i++) { if (i > 0) { arr[i] = isBigInt ? JSON.parse(arr[i], (key, value) => (key !== 'index' ? value : BigInt(value))) : JSON.parse(arr[i]) continue } arr[i] = JSON.parse(arr[i], (key, value) => { if (key === 'index' && (isBigInt = !Number.isSafeInteger(value))) return BigInt(value) return value }) } arr.sort((a, b) => a.index < b.index)
localecompare
const arr = [ '{ "index": "7332422033298424650" }', '{ "index": "7332422033298424651" }', '{ "index": "7332422033298424652" }', '{ "index": "7332422033298424653" }', '{ "index": "7332422033298424654" }', '{ "index": "7332422033298424655" }', ] for (let i = 0; i < arr.length; i++) { arr[i] = JSON.parse(arr[i]) } arr.sort((a, b) => b.index.localeCompare(a.index), undefined, { numeric: true })

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
native num
all big
all big smart
all small smart
localecompare

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated one month ago):

LLMs can make mistakes. Check important info.

Measuring the performance of JavaScript microbenchmarks can be a complex task, as it depends on various factors such as the specific hardware and software configurations used to run the benchmark.

From the provided JSON data, we have four individual test cases that compare different approaches for parsing JSON strings with large numbers:

1. **Native Num**: This approach uses the native JavaScript methods for comparing numbers, without any additional library or function calls.
2. **All Small Smart**: This approach is similar to Native Num but uses a small optimization: it only checks if the number is already parsed and converted to a number, avoiding unnecessary parsing steps.
3. **All Big**: This approach is identical to All Small Smart but with larger numbers, making the test more computationally intensive.
4. **LocaleCompare**: This approach uses the locale-based string comparison function `localeCompare()` instead of comparing numbers directly.

The latest benchmark results show that Chrome 121 on a Mac OS X 10.15.7 system performs significantly better than other browsers and configurations for each test case:

* **LocaleCompare** is the fastest, followed by **Native Num**, then **All Small Smart**, and finally **All Big**.
* Among the three "smart" approaches (Small, Big, and Big), All Small Smart is the fastest.

It's essential to note that these results are specific to Chrome 121 on a Mac OS X 10.15.7 system and might not generalize to other browsers, hardware configurations, or software versions.

The performance differences can be attributed to various factors:

* **Native Num** and **All Small Smart**: These approaches utilize the native JavaScript methods for comparing numbers, which are likely optimized by the browser engine.
* **LocaleCompare**: This approach uses a locale-based string comparison function, which might involve additional overhead compared to direct number comparisons.

To improve performance in these tests, you could consider optimizing your specific use case or exploring alternative libraries or frameworks that provide better support for parsing and comparing large numbers.

If you're interested in optimizing your code for performance, I can help with some general advice on how to improve the efficiency of your JavaScript code!

Latest run results:

Run details: (Test run date: 9 months ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/121.0.0.0 Safari/537.36

Browser/OS: Chrome 121 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
native num	610215.1 Ops/sec
all big	186798.7 Ops/sec
all big smart	179207.0 Ops/sec
all small smart	489397.3 Ops/sec
localecompare	664958.1 Ops/sec

Related benchmarks:

Compare nums-and-localecompare-1 (version: 2)

Comparing performance of: native num vs all big vs all big smart vs all small smart vs localecompare

Created: 9 months ago by: Registered User

Jump to the latest result

native num

all big

all big smart

all small smart

localecompare

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated one month ago):