Benchmark: Test4123123 - MeasureThat.net

Tests:

Lookup
const a = []; const b = {}; const locationNameSet = new Set(); for (let t = 0; t < 1000000; t++) { a[t] = t; b[t] = t; } for (const id of a) { const c = b[id]; if (c) locationNameSet.add(c); }
Object.values
const a = []; const b = {}; const locationNameSet = new Set(); for (let t = 0; t < 1000000; t++) { a[t] = t; b[t] = t; } Object.values(b).forEach(c => { if (c) locationNameSet.add(c); });

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Lookup
Object.values

Fastest: N/A

Slowest: N/A

Latest run results:

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Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):

LLMs can make mistakes. Check important info.

Let's break down what's being tested in the provided benchmark.

**Overview**

The benchmark is testing two different approaches for iterating over objects and performing lookups: using a `for...of` loop with an array (`Lookup`) and using `Object.values()` to iterate over object values (`Object.values`). Both tests create a large dataset of arrays and objects, perform a lookup operation (adding the values to a set), and measure the execution time.

**Options Compared**

The two options being compared are:

1. **`for...of` loop with an array**: This approach uses a traditional `for` loop to iterate over the array elements. The test creates a large array of integers, assigns each element to an object's property, and then iterates over the array using the `for...of` loop, accessing the corresponding value in the object.
2. **`Object.values()`**: This approach uses the built-in `Object.values()` method to iterate over the values of an object. The test creates a large object with integer properties, assigns each property's value to a variable, and then iterates over these values using `forEach()`.

**Pros and Cons**

**`for...of` loop with an array:**

Pros:

* Can be more efficient for small to medium-sized datasets
* Allows for more control over the iteration process (e.g., indexing into arrays)
* No additional library dependencies required

Cons:

* More verbose code
* Requires manual handling of array indices and data types

**`Object.values()`**

Pros:

* More concise code
* Reduces boilerplate code for iterating over object values
* Built-in method eliminates the need to manually iterate over properties

Cons:

* May be slower for very large datasets due to the overhead of creating an iterator object
* Requires familiarity with modern JavaScript features (introduced in ECMAScript 2015)

**Other Considerations**

Both approaches have their trade-offs. The `for...of` loop approach provides more control and flexibility but requires more code maintenance, while `Object.values()` is a concise solution that eliminates the need for manual iteration but may introduce performance overhead.

**Library Used (if applicable)**

None of the provided benchmarks use any external libraries or dependencies besides JavaScript itself.

No special JS features or syntax are used in these benchmark examples. Both approaches rely on standard JavaScript constructs and built-in methods (`for...of` loop, `Object.values()`, `Set`).

**Alternatives**

For those interested in exploring alternative approaches:

* For small datasets, using a simple `for` loop with manual iteration might be sufficient.
* For very large datasets or performance-critical applications, more optimized data structures (e.g., sparse arrays) or specialized libraries (e.g., `lodash`) might be necessary.
* For object-oriented programming or functional programming approaches, alternative methods for iterating over objects and accessing their properties may be preferred.

Keep in mind that the choice of approach depends on the specific requirements and constraints of your project.

Related benchmarks:

Test4123123 (version: 0)

Comparing performance of: Lookup vs Object.values

Created: 2 years ago by: Guest

Jump to the latest result

Lookup

Object.values

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

No previous run results

Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):