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map vs object - key access 3
(version: 0)
Comparing performance of:
Object access vs Map get
Created:
4 years ago
by:
Guest
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Script Preparation code:
var items = Array.from(Array(100000), (_, x) => ({ key: x, value: x * 10 })); var objContainer = {}; var mapContainer = new Map(); for (let i = 10000; i >= 0; i--) { const index = Math.floor(Math.random() * 100000); const item = items[index]; objContainer[item.key] = item; mapContainer.set(item.key, item) }
Tests:
Object access
items.forEach(item => objContainer[item.value])
Map get
items.forEach(item => mapContainer.get(item.value))
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
Object access
Map get
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 dive into the world of JavaScript microbenchmarks on MeasureThat.net. **Benchmark Definition:** The provided JSON represents a benchmark definition that tests two different approaches: 1. **Object Access:** `items.forEach(item => objContainer[item.value])` 2. **Map Get:** `items.forEach(item => mapContainer.get(item.value))` These test cases are designed to measure the performance difference between accessing an object's value using its key and accessing a Map's value using its key. **Options Compared:** The two options being compared are: 1. **Object Access**: Using the bracket notation (`objContainer[item.value]`) to access an object's value. 2. **Map Get**: Using the `get()` method of the Map data structure to access its value. **Pros and Cons:** * **Object Access**: + Pros: - Fast lookup times, as objects are hash tables that allow for direct access to values using their keys. - Can be more readable and intuitive for developers familiar with object notation. + Cons: - May not perform well if the object is very large or has a lot of duplicate keys. - May not handle collisions (multiple objects with the same key) as efficiently as Maps. * **Map Get**: + Pros: - Handles collisions more efficiently than objects, as each key-value pair in the Map is unique. - Can provide better performance for large datasets or when dealing with duplicate keys. + Cons: - May be slower due to the overhead of looking up a value in a Map (especially for very large Maps). - Requires more memory to store the data structure. **Library and Purpose:** The `Array.from()` function is used to create an array of items, where each item is an object with a key-value pair. The `Map` data structure is used to store these objects in the test case. In this context, the `Map` library provides an efficient way to store and retrieve values using their keys. It's particularly useful when dealing with large datasets or when needing to handle collisions. **Special JS Feature/Syntax:** The benchmark definition uses JavaScript's `forEach()` method to iterate over the array of items and perform the access operation on both objects and Maps. **Other Considerations:** When writing microbenchmarks, it's essential to consider factors like: * **Input size**: How large is the dataset being tested? Larger datasets can affect performance. * **Data distribution**: Is the data evenly distributed across keys? Imbalanced data can skew results. * **Browser/Platform differences**: Different browsers and platforms may have varying performance characteristics for JavaScript execution. **Alternatives:** If you're interested in exploring alternative approaches, here are some options: 1. **Arrays instead of Objects**: Using arrays to store values could provide different performance characteristics than using objects or Maps. 2. **Dictionaries vs. Maps**: Some languages (like Python) use dictionaries instead of Maps for key-value storage. This could affect performance and usage patterns. 3. **Other data structures**: Exploring other data structures like sets, linked lists, or trees could reveal different performance characteristics. By considering these alternatives and factors, you can gain a deeper understanding of the complexities involved in JavaScript microbenchmarks and optimize your own code for better performance.
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