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Object vs Map creation (forEach, reduce, for)
(version: 0)
Comparing performance of:
Object forEach vs Map forEach vs Object reduce vs Map reduce
Created:
4 years ago
by:
Guest
Jump to the latest result
Script Preparation code:
var data = Object.entries({ ...Array.from(Array(10000).keys()) });
Tests:
Object forEach
const o = {} data.forEach(([k, v]) => { o[k] = v; });
Map forEach
const o = new Map() data.forEach(([k, v]) => { o.set(k, v); });
Object reduce
data.reduce((acc, [k, v]) => { acc[k] = v; return acc; }, {});
Map reduce
data.reduce((acc, [k, v]) => { acc[k] = v; return acc; }, new Map());
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (4)
Previous results
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Test case name
Result
Object forEach
Map forEach
Object reduce
Map reduce
Fastest:
N/A
Slowest:
N/A
Latest run results:
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the provided benchmark and explain what's being tested. **Benchmark Overview** The benchmark measures the performance of three different approaches to create an object from an array of key-value pairs: 1. `Object.forEach` 2. `Map.forEach` 3. `Object.reduce` (and its equivalent with a `Map`) 4. `Map.reduce` These approaches are being compared to determine which one is the most efficient. **Options Compared** * `Object.forEach`: Uses the `forEach` method on an object to iterate over the array and assign values to the object. * `Map.forEach`: Uses the `forEach` method on a Map (a data structure that stores key-value pairs) to iterate over the array and assign values to the Map. * `Object.reduce`: Uses the `reduce` method on an object to accumulate values from the array into the object. * `Map.reduce`: Uses the `reduce` method on a Map to accumulate values from the array into the Map. **Pros and Cons of Each Approach** * `Object.forEach`: + Pros: Simple, intuitive, and widely supported. It's easy to write code that iterates over an object using `forEach`. + Cons: Can be slower than other approaches because it involves a function call overhead. * `Map.forEach`: + Pros: Efficiently handles large datasets by storing key-value pairs in memory. It's also flexible and can handle nested data structures. + Cons: May not be suitable for smaller datasets or applications that require frequent object iteration, as the Map creation process can be slower than other approaches. * `Object.reduce`: + Pros: Accumulates values from an array into an object efficiently, making it a good choice for large datasets. It's also easy to write code that uses `reduce`. + Cons: Requires familiarity with the `reduce` method, which can be less intuitive than other approaches. * `Map.reduce`: + Pros: Similar advantages to `Object.reduce`, but optimized for handling key-value pairs in a Map data structure. + Cons: Requires knowledge of the Map data structure and its associated methods. **Library Used** None. The benchmark uses built-in JavaScript objects and methods (e.g., `Array.entries()`, `Object.forEach()`). **Special JS Features/Syntax** * None are explicitly mentioned or used in the benchmark code. However, the use of `forEach` and `reduce` methods implies familiarity with functional programming concepts. **Other Alternatives** * Other approaches to create an object from an array could include: + Using a library like Lodash or Ramda for utility functions that handle array iteration and accumulation. + Implementing custom loop iterations using traditional JavaScript constructs (e.g., `for` loops). + Utilizing WebAssembly or other low-level optimization techniques to improve performance. Keep in mind that the specific approach used in this benchmark may not be representative of all possible scenarios, but it does provide a good starting point for understanding the relative performance characteristics of different methods.
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Object.fromEntries vs create temp object
Object.fromEntries vs create temp object vs Array.reduce
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