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Array.prototype.sort (utc date property vs epoch date simulation property)
(version: 1)
Comparing sort on utc date property inside object vs sort on epoch date property inside object
Comparing performance of:
UTC date property inside objects vs Epoch date property inside objects
Created:
5 years ago
by:
Registered User
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Script Preparation code:
function randomDateUtc(start, end) { return new Date(start.getTime() + Math.random() * (end.getTime() - start.getTime())); } var arrUtc = []; for(var i = 0; i < 100000; i++){ arrUtc.push({value:randomDateUtc(new Date(2012, 0, 1), new Date())}); } function randomDateEpochSimulation(max) { return Math.floor(Math.random() * Math.floor(max)); } var arrEpoch = []; for(var i = 0; i < 100000; i++){ arrEpoch.push({value:randomDateEpochSimulation(Date.now())}); }
Tests:
UTC date property inside objects
arrUtc.sort((a,b) => a.value - b.value);
Epoch date property inside objects
arrEpoch.sort((a,b) => a.value - b.value);
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
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Test case name
Result
UTC date property inside objects
Epoch date property inside objects
Fastest:
N/A
Slowest:
N/A
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the benchmark definition and test cases. **Benchmark Definition** The benchmark is testing the performance of `Array.prototype.sort()` on two different approaches: 1. **Sorting by UTC date property**: The script generates an array of objects with a random UTC date value using the `randomDateUtc` function, which simulates a UTC date by adding a random offset to a fixed start date (January 1, 2012). This approach assumes that the UTC date values are stored as strings or numbers in the format of Unix timestamps. 2. **Sorting by epoch date property**: The script generates an array of objects with a random epoch date value using the `randomDateEpochSimulation` function, which simulates an epoch date by generating a random number between 0 and the current timestamp (in seconds). This approach assumes that the epoch date values are stored as numbers. **Options Compared** The benchmark is comparing the performance of two approaches: * **UTC date property**: sorting on strings or numbers representing UTC dates * **Epoch date property**: sorting on numbers representing epoch dates **Pros and Cons** * **Sorting by UTC date property**: + Pros: This approach assumes that the UTC date values are stored as strings or numbers in a standard format, which might be more intuitive for developers familiar with datetime libraries. + Cons: If the actual data is stored in a different format (e.g., ISO strings), this approach may not work correctly. Additionally, this approach can be slower than sorting by epoch dates if the range of possible values is large. * **Sorting by epoch date property**: + Pros: This approach assumes that the epoch date values are stored as numbers, which might be more efficient for large ranges of values. + Cons: If the actual data is stored in a different format (e.g., strings or objects), this approach may not work correctly. Additionally, this approach can lead to slower performance if the range of possible values is small. **Library Used** None are explicitly mentioned in the provided code. However, the `Date` object and its methods (like `getTime()`) are used throughout the script. **Special JS Feature or Syntax** The `randomDateUtc` function uses a trick to simulate a UTC date by adding a random offset to a fixed start date. This is not a standard JavaScript feature but rather a custom implementation for this benchmark. **Other Alternatives** If you wanted to modify or extend this benchmark, some alternatives could include: * Using different sorting algorithms (e.g., merge sort, quicksort) * Increasing the size of the input arrays * Adding more test cases with different data formats (e.g., dates in different cultures) * Comparing performance on different hardware platforms or architectures
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