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allocating objects vs allocating maps
(version: 0)
Comparing performance of:
objects vs maps
Created:
one year ago
by:
Guest
Go to the latest result
Tests:
objects
for (let i = 0; i < 1000; ++i) { const obj = {} obj["hello"] = "world" }
maps
for (let i = 0; i < 1000; ++i) { const map = new Map() map.set("hello", "world") }
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
objects
maps
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
one year ago
)
User agent:
Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36
Browser/OS:
Chrome 129 on Windows
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<iframe src="https://measurethat.net/Embed?id=557299" width="100%" height="500px"></iframe>
objects
3.8M/s
maps
10K/s
View exact numbers
Test name
Executions per second
✓
objects
3,829,438 Ops/sec
maps
10,453 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
I'd be happy to explain the JavaScript microbenchmark and provide insights into the test cases, options compared, pros and cons, and other considerations. **Benchmark Overview** MeasureThat.net is a website that allows users to create and run JavaScript microbenchmarks. The provided JSON represents a benchmark with two individual test cases: "objects" and "maps". These test cases compare the performance of allocating objects versus allocating maps in JavaScript. **Test Cases** The two test cases are: 1. **Objects**: This test case allocates an object using the syntax `const obj = {}` and then sets a property on it using `obj["hello"] = "world"`. The loop runs 1000 times to measure the performance. 2. **Maps**: This test case creates an empty map using `const map = new Map()` and then adds a key-value pair to it using `map.set("hello", "world")`. The loop also runs 1000 times to measure the performance. **Options Compared** The two options being compared are: 1. Allocating objects (using `const obj = {}` and `obj["hello"] = "world"`) 2. Allocating maps (using `const map = new Map()` and `map.set("hello", "world")`) **Pros and Cons of Each Approach** **Objects:** Pros: * Simple and straightforward syntax * Fast creation and property setting Cons: * May not be as efficient for large datasets due to the use of a hash table (object) which can lead to slower lookup times. **Maps:** Pros: * More suitable for storing key-value pairs, especially when dealing with large datasets * Faster lookup times compared to objects Cons: * Requires more memory allocation and deallocation due to the use of a map data structure * May have additional overhead due to the creation of the map object itself. **Library Usage** In this benchmark, no external libraries are used. However, the `Map` data structure is part of the JavaScript standard library. **Special JS Feature or Syntax** There are no special JavaScript features or syntax mentioned in these test cases. The code is straightforward and uses standard JavaScript constructs. **Other Considerations** When comparing the performance of allocating objects versus maps, it's essential to consider the following: * Dataset size: For small datasets, the difference between objects and maps might be negligible. However, for larger datasets, maps are likely to perform better due to their optimized data structure. * Use case: If you're working with a large dataset and need fast lookup times, using a map is usually the better choice. Otherwise, allocating objects might be sufficient. **Alternatives** Other alternatives to these test cases could include: 1. Allocating arrays instead of objects or maps 2. Using different data structures like `Set` or `WeakMap` 3. Implementing custom data structures for specific use cases 4. Comparing the performance of different JavaScript engines (e.g., V8, SpiderMonkey)
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