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POJOs vs Immutable Maps
(version: 1)
Comparing performance of:
Pojo insert vs Map with pojos insert vs Map with maps insert
Created:
3 years ago
by:
Registered User
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HTML Preparation code:
<script src="https://cdnjs.cloudflare.com/ajax/libs/immutable/4.1.0/immutable.min.js" integrity="sha512-OQDhbg3GkxL1XYlKM3zUzP9fYbL93uBQU6fsSl0tpr5aUp1CV3AI7hMgMVJqlCy63ppR5Ff/pk68ZjPAOjIgiQ==" crossorigin="anonymous" referrerpolicy="no-referrer"></script>
Script Preparation code:
var numElements = 1000000; var pojosMap = {}; var mapWithPojos = Immutable.Map({}); var mapWithMaps = Immutable.Map({}); for (let i = 0; i < numElements; i++) { pojosMap[i] = { foo: i }; mapWithPojos = mapWithPojos.set(i, { foo: i }); mapWithMaps = mapWithMaps.set(i, Immutable.Map({ foo: i })); }
Tests:
Pojo insert
pojosMap = { ...pojosMap, foo: { baz: 'bar' } }
Map with pojos insert
mapWithPojos = mapWithPojos.set('foo', { baz: 'bar' })
Map with maps insert
mapWithMaps = mapWithMaps.set('foo', Immutable.Map({ baz: 'bar' }))
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (3)
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Test case name
Result
Pojo insert
Map with pojos insert
Map with maps insert
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 provided JSON benchmark definition and explain what is being tested. **Benchmark Definition** The benchmark defines two types of data structures: POJOs (Plain Old JavaScript Objects) and Immutable Maps. The goal is to compare the performance of inserting data into these two types of data structures. **POJOs vs Immutable Maps** In this benchmark, we have: 1. `pojosMap`: an object that uses traditional JavaScript objects to store data. 2. `mapWithPojos`: an Immutable Map created using the Immutable library. 3. `mapWithMaps`: another Immutable Map created using the Immutable library. The benchmark tests how quickly each of these data structures can be updated by inserting new data. **Options Compared** We have two main options being compared: * **POJOs**: Using traditional JavaScript objects to store and update data. * **Immutable Maps**: Using the Immutable library to create and update Immutable Maps. **Pros and Cons** **POJOs:** Pros: * Simple and familiar API * No additional dependencies required (just standard JavaScript) Cons: * Not thread-safe by default (can lead to concurrency issues) * Can be slower due to object creation and modification overhead **Immutable Maps:** Pros: * Thread-safe and predictable performance * Provides a clear and concise API for data manipulation Cons: * Requires additional dependencies (the Immutable library) * Can be more complex to understand and use, especially for beginners **Library - Immutable Map** The Immutable Map is a library that provides a thread-safe and predictable way to work with immutable data structures. It's designed to provide a simple and consistent API for data manipulation, making it easier to write concurrent code. In the benchmark, `mapWithPojos` uses the Immutable Map API to insert new data, while `mapWithMaps` creates a new Immutable Map instance every time an update is needed. **Special JS Feature or Syntax** One special feature used in this benchmark is the use of the `Immutable.Map` constructor to create Immutable Maps. This allows for creating and updating Immutable Maps in a thread-safe and predictable way. Another notable aspect is the use of the `set()` method on the Immutable Map instances, which updates the map with new data in a single operation. **Other Alternatives** If you're interested in exploring other alternatives, here are a few options: * **Lodash**: A popular utility library that provides many functions for working with arrays and objects. * **Mongoose**: A MongoDB object modeling tool that provides a convenient way to interact with MongoDB data structures. * **TypeScript**: A statically typed language that can provide better type safety and performance benefits than JavaScript. However, it's worth noting that these alternatives may not be as well-suited for this specific benchmark, which focuses on comparing POJOs vs Immutable Maps.
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