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ES6 Map Merge vs forEach
(version: 0)
Comparing performance of:
Merge vs Loop
Created:
6 years ago
by:
Guest
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Script Preparation code:
const entries1 = []; const entries2 = []; for (let i = 0; i < 1000; i++) { entries1[i] = [i , i]; } for (let i = 0; i < 1000; i++) { entries2[i] = [i + 500, i + 600]; } const pathSegmentMap = new Map(entries1); const newSegmentMap = new Map(entries2);
Tests:
Merge
const entries1 = []; const entries2 = []; for (let i = 0; i < 1000; i++) { entries1[i] = [i , i]; } for (let i = 0; i < 1000; i++) { entries2[i] = [i + 500, i + 600]; } const pathSegmentMap = new Map(entries1); const newSegmentMap = new Map(entries2); const mergeMap = new Map([...pathSegmentMap, ...newSegmentMap]);
Loop
const entries1 = []; const entries2 = []; for (let i = 0; i < 1000; i++) { entries1[i] = [i , i]; } for (let i = 0; i < 1000; i++) { entries2[i] = [i + 500, i + 600]; } const pathSegmentMap = new Map(entries1); const newSegmentMap = new Map(entries2); newSegmentMap.forEach((value, key) => { pathSegmentMap.set(key, value); });
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
Merge
Loop
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/131.0.0.0 Safari/537.36
Browser/OS:
Chrome 131 on Mac OS X 10.15.7
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Test name
Executions per second
Merge
10202.1 Ops/sec
Loop
16275.6 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the benchmark definition and test cases to understand what's being tested. **Benchmark Definition** The benchmark is defined in JSON format, which contains information about the test case: * `Name`: The name of the benchmark, "ES6 Map Merge vs forEach". * `Description`: An empty string, indicating that no description is provided. * `Script Preparation Code`: A JavaScript code snippet that creates two arrays, `entries1` and `entries2`, each with 1000 elements. The arrays are populated with nested arrays containing two values each. * `Html Preparation Code`: An empty string, indicating that no HTML preparation is required. **Test Cases** There are two test cases: 1. **Merge**: * `Benchmark Definition`: A JavaScript code snippet that creates a new map by merging two existing maps, `pathSegmentMap` and `newSegmentMap`, using the spread operator (`...`). 2. **Loop**: * `Benchmark Definition`: A JavaScript code snippet that iterates over the elements of `newSegmentMap` and updates the values in `pathSegmentMap` using a loop. **What's being tested** The benchmark is testing the performance difference between two approaches: 1. **Merge**: Using the spread operator to merge two maps. 2. **Loop**: Iterating over the elements of one map and updating another map using a loop. **Pros and Cons** * **Merge**: + Pros: - Concise and readable syntax. - Efficient, as it avoids the need for explicit looping. + Cons: - May have performance overhead due to the use of the spread operator. - Can be slower than manual iteration in some cases (e.g., when dealing with large datasets). * **Loop**: + Pros: - Can be faster, as it avoids the overhead of the spread operator. - Can be more controlled and predictable. + Cons: - More verbose syntax can make the code harder to read. - Requires explicit looping, which can lead to errors if not done correctly. **Libraries** The benchmark uses JavaScript's built-in `Map` data structure, which is a dictionary-like object that stores key-value pairs. No external libraries are required for this benchmark. **Special JS features/syntax** The benchmark does not use any special JavaScript features or syntax. It only relies on standard JavaScript constructs and methods. **Alternatives** Other alternatives to test the performance of merging maps include: * Using `Object.assign()` instead of the spread operator. * Using a library like Lodash's `merge` function. * Testing with manual iteration using a `for...in` loop or a `forEach` loop (similar to the "Loop" test case). Keep in mind that the choice of approach depends on the specific requirements and constraints of the project.
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